diff --git a/.cspell/frigate-dictionary.txt b/.cspell/frigate-dictionary.txt
index 6e66a4704..f2bcf417a 100644
--- a/.cspell/frigate-dictionary.txt
+++ b/.cspell/frigate-dictionary.txt
@@ -22,6 +22,7 @@ autotrack
 autotracked
 autotracker
 autotracking
+backchannel
 balena
 Beelink
 BGRA
@@ -191,6 +192,7 @@ ONVIF
 openai
 opencv
 openvino
+overfitting
 OWASP
 paddleocr
 paho
@@ -315,4 +317,4 @@ yolo
 yolonas
 yolox
 zeep
-zerolatency
\ No newline at end of file
+zerolatency
diff --git a/.cursor/rules/frontend-always-use-translation-files.mdc b/.cursor/rules/frontend-always-use-translation-files.mdc
new file mode 100644
index 000000000..35034069b
--- /dev/null
+++ b/.cursor/rules/frontend-always-use-translation-files.mdc
@@ -0,0 +1,6 @@
+---
+globs: ["**/*.ts", "**/*.tsx"]
+alwaysApply: false
+---
+
+Never write strings in the frontend directly, always write to and reference the relevant translations file.
\ No newline at end of file
diff --git a/.github/DISCUSSION_TEMPLATE/beta-support.yml b/.github/DISCUSSION_TEMPLATE/beta-support.yml
new file mode 100644
index 000000000..e342127a0
--- /dev/null
+++ b/.github/DISCUSSION_TEMPLATE/beta-support.yml
@@ -0,0 +1,129 @@
+title: "[Beta Support]: "
+labels: ["support", "triage", "beta"]
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Thank you for testing Frigate beta versions! Use this form for support with beta releases.
+
+        **Note:** Beta versions may have incomplete features, known issues, or unexpected behavior. Please check the [release notes](https://github.com/blakeblackshear/frigate/releases) and [recent discussions][discussions] for known beta issues before submitting.
+
+        Before submitting, read the [beta documentation][docs].
+
+        [docs]: https://deploy-preview-19787--frigate-docs.netlify.app/
+  - type: textarea
+    id: description
+    attributes:
+      label: Describe the problem you are having
+      description: Please be as detailed as possible. Include what you expected to happen vs what actually happened.
+    validations:
+      required: true
+  - type: input
+    id: version
+    attributes:
+      label: Beta Version
+      description: Visible on the System page in the Web UI. Please include the full version including the build identifier (eg. 0.17.0-beta1)
+      placeholder: "0.17.0-beta1"
+    validations:
+      required: true
+  - type: dropdown
+    id: issue-category
+    attributes:
+      label: Issue Category
+      description: What area is your issue related to? This helps us understand the context.
+      options:
+        - Object Detection / Detectors
+        - Hardware Acceleration
+        - Configuration / Setup
+        - WebUI / Frontend
+        - Recordings / Storage
+        - Notifications / Events
+        - Integration (Home Assistant, etc)
+        - Performance / Stability
+        - Installation / Updates
+        - Other
+    validations:
+      required: true
+  - type: textarea
+    id: config
+    attributes:
+      label: Frigate config file
+      description: This will be automatically formatted into code, so no need for backticks. Remove any sensitive information like passwords or URLs.
+      render: yaml
+    validations:
+      required: true
+  - type: textarea
+    id: frigatelogs
+    attributes:
+      label: Relevant Frigate log output
+      description: Please copy and paste any relevant Frigate log output. Include logs before and after your exact error when possible. This will be automatically formatted into code, so no need for backticks.
+      render: shell
+    validations:
+      required: true
+  - type: textarea
+    id: go2rtclogs
+    attributes:
+      label: Relevant go2rtc log output (if applicable)
+      description: If your issue involves cameras, streams, or playback, please include go2rtc logs. Logs can be viewed via the Frigate UI, Docker, or the go2rtc dashboard. This will be automatically formatted into code, so no need for backticks.
+      render: shell
+  - type: dropdown
+    id: install-method
+    attributes:
+      label: Install method
+      options:
+        - Home Assistant Add-on
+        - Docker Compose
+        - Docker CLI
+        - Proxmox via Docker
+        - Proxmox via TTeck Script
+        - Windows WSL2
+    validations:
+      required: true
+  - type: textarea
+    id: docker
+    attributes:
+      label: docker-compose file or Docker CLI command
+      description: This will be automatically formatted into code, so no need for backticks. Include relevant environment variables and device mappings.
+      render: yaml
+    validations:
+      required: true
+  - type: dropdown
+    id: os
+    attributes:
+      label: Operating system
+      options:
+        - Home Assistant OS
+        - Debian
+        - Ubuntu
+        - Other Linux
+        - Proxmox
+        - UNRAID
+        - Windows
+        - Other
+    validations:
+      required: true
+  - type: input
+    id: hardware
+    attributes:
+      label: CPU / GPU / Hardware
+      description: Provide details about your hardware (e.g., Intel i5-9400, NVIDIA RTX 3060, Raspberry Pi 4, etc)
+      placeholder: "Intel i7-10700, NVIDIA GTX 1660"
+  - type: textarea
+    id: screenshots
+    attributes:
+      label: Screenshots
+      description: Screenshots of the issue, System metrics pages, or any relevant UI. Drag and drop or paste images directly.
+  - type: textarea
+    id: steps-to-reproduce
+    attributes:
+      label: Steps to reproduce
+      description: If applicable, provide detailed steps to reproduce the issue
+      placeholder: |
+        1. Go to '...'
+        2. Click on '...'
+        3. See error
+  - type: textarea
+    id: other
+    attributes:
+      label: Any other information that may be helpful
+      description: Additional context, related issues, when the problem started appearing, etc.
diff --git a/.github/DISCUSSION_TEMPLATE/report-a-bug.yml b/.github/DISCUSSION_TEMPLATE/report-a-bug.yml
index a32ee5938..de870ac0f 100644
--- a/.github/DISCUSSION_TEMPLATE/report-a-bug.yml
+++ b/.github/DISCUSSION_TEMPLATE/report-a-bug.yml
@@ -6,6 +6,8 @@ body:
       value: |
         Use this form to submit a reproducible bug in Frigate or Frigate's UI.
 
+        **⚠️ If you are running a beta version (0.17.0-beta or similar), please use the [Beta Support template](https://github.com/blakeblackshear/frigate/discussions/new?category=beta-support) instead.**
+
         Before submitting your bug report, please ask the AI with the "Ask AI" button on the [official documentation site][ai] about your issue, [search the discussions][discussions], look at recent open and closed [pull requests][prs], read the [official Frigate documentation][docs], and read the [Frigate FAQ][faq] pinned at the Discussion page to see if your bug has already been fixed by the developers or reported by the community.
 
         **If you are unsure if your issue is actually a bug or not, please submit a support request first.**
diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md
new file mode 100644
index 000000000..f053abe3f
--- /dev/null
+++ b/.github/copilot-instructions.md
@@ -0,0 +1,385 @@
+# GitHub Copilot Instructions for Frigate NVR
+
+This document provides coding guidelines and best practices for contributing to Frigate NVR, a complete and local NVR designed for Home Assistant with AI object detection.
+
+## Project Overview
+
+Frigate NVR is a realtime object detection system for IP cameras that uses:
+
+- **Backend**: Python 3.13+ with FastAPI, OpenCV, TensorFlow/ONNX
+- **Frontend**: React with TypeScript, Vite, TailwindCSS
+- **Architecture**: Multiprocessing design with ZMQ and MQTT communication
+- **Focus**: Minimal resource usage with maximum performance
+
+## Code Review Guidelines
+
+When reviewing code, do NOT comment on:
+
+- Missing imports - Static analysis tooling catches these
+- Code formatting - Ruff (Python) and Prettier (TypeScript/React) handle formatting
+- Minor style inconsistencies already enforced by linters
+
+## Python Backend Standards
+
+### Python Requirements
+
+- **Compatibility**: Python 3.13+
+- **Language Features**: Use modern Python features:
+  - Pattern matching
+  - Type hints (comprehensive typing preferred)
+  - f-strings (preferred over `%` or `.format()`)
+  - Dataclasses
+  - Async/await patterns
+
+### Code Quality Standards
+
+- **Formatting**: Ruff (configured in `pyproject.toml`)
+- **Linting**: Ruff with rules defined in project config
+- **Type Checking**: Use type hints consistently
+- **Testing**: unittest framework - use `python3 -u -m unittest` to run tests
+- **Language**: American English for all code, comments, and documentation
+
+### Logging Standards
+
+- **Logger Pattern**: Use module-level logger
+
+  ```python
+  import logging
+
+  logger = logging.getLogger(__name__)
+  ```
+
+- **Format Guidelines**:
+  - No periods at end of log messages
+  - No sensitive data (keys, tokens, passwords)
+  - Use lazy logging: `logger.debug("Message with %s", variable)`
+- **Log Levels**:
+  - `debug`: Development and troubleshooting information
+  - `info`: Important runtime events (startup, shutdown, state changes)
+  - `warning`: Recoverable issues that should be addressed
+  - `error`: Errors that affect functionality but don't crash the app
+  - `exception`: Use in except blocks to include traceback
+
+### Error Handling
+
+- **Exception Types**: Choose most specific exception available
+- **Try/Catch Best Practices**:
+  - Only wrap code that can throw exceptions
+  - Keep try blocks minimal - process data after the try/except
+  - Avoid bare exceptions except in background tasks
+
+  Bad pattern:
+
+  ```python
+  try:
+      data = await device.get_data()  # Can throw
+      # ❌ Don't process data inside try block
+      processed = data.get("value", 0) * 100
+      result = processed
+  except DeviceError:
+      logger.error("Failed to get data")
+  ```
+
+  Good pattern:
+
+  ```python
+  try:
+      data = await device.get_data()  # Can throw
+  except DeviceError:
+      logger.error("Failed to get data")
+      return
+
+  # ✅ Process data outside try block
+  processed = data.get("value", 0) * 100
+  result = processed
+  ```
+
+### Async Programming
+
+- **External I/O**: All external I/O operations must be async
+- **Best Practices**:
+  - Avoid sleeping in loops - use `asyncio.sleep()` not `time.sleep()`
+  - Avoid awaiting in loops - use `asyncio.gather()` instead
+  - No blocking calls in async functions
+  - Use `asyncio.create_task()` for background operations
+- **Thread Safety**: Use proper synchronization for shared state
+
+### Documentation Standards
+
+- **Module Docstrings**: Concise descriptions at top of files
+  ```python
+  """Utilities for motion detection and analysis."""
+  ```
+- **Function Docstrings**: Required for public functions and methods
+
+  ```python
+  async def process_frame(frame: ndarray, config: Config) -> Detection:
+      """Process a video frame for object detection.
+
+      Args:
+          frame: The video frame as numpy array
+          config: Detection configuration
+
+      Returns:
+          Detection results with bounding boxes
+      """
+  ```
+
+- **Comment Style**:
+  - Explain the "why" not just the "what"
+  - Keep lines under 88 characters when possible
+  - Use clear, descriptive comments
+
+### File Organization
+
+- **API Endpoints**: `frigate/api/` - FastAPI route handlers
+- **Configuration**: `frigate/config/` - Configuration parsing and validation
+- **Detectors**: `frigate/detectors/` - Object detection backends
+- **Events**: `frigate/events/` - Event management and storage
+- **Utilities**: `frigate/util/` - Shared utility functions
+
+## Frontend (React/TypeScript) Standards
+
+### Internationalization (i18n)
+
+- **CRITICAL**: Never write user-facing strings directly in components
+- **Always use react-i18next**: Import and use the `t()` function
+
+  ```tsx
+  import { useTranslation } from "react-i18next";
+
+  function MyComponent() {
+    const { t } = useTranslation(["views/live"]);
+    return <div>{t("camera_not_found")}</div>;
+  }
+  ```
+
+- **Translation Files**: Add English strings to the appropriate json files in `web/public/locales/en`
+- **Namespaces**: Organize translations by feature/view (e.g., `views/live`, `common`, `views/system`)
+
+### Code Quality
+
+- **Linting**: ESLint (see `web/.eslintrc.cjs`)
+- **Formatting**: Prettier with Tailwind CSS plugin
+- **Type Safety**: TypeScript strict mode enabled
+- **Testing**: Vitest for unit tests
+
+### Component Patterns
+
+- **UI Components**: Use Radix UI primitives (in `web/src/components/ui/`)
+- **Styling**: TailwindCSS with `cn()` utility for class merging
+- **State Management**: React hooks (useState, useEffect, useCallback, useMemo)
+- **Data Fetching**: Custom hooks with proper loading and error states
+
+### ESLint Rules
+
+Key rules enforced:
+
+- `react-hooks/rules-of-hooks`: error
+- `react-hooks/exhaustive-deps`: error
+- `no-console`: error (use proper logging or remove)
+- `@typescript-eslint/no-explicit-any`: warn (always use proper types instead of `any`)
+- Unused variables must be prefixed with `_`
+- Comma dangles required for multiline objects/arrays
+
+### File Organization
+
+- **Pages**: `web/src/pages/` - Route components
+- **Views**: `web/src/views/` - Complex view components
+- **Components**: `web/src/components/` - Reusable components
+- **Hooks**: `web/src/hooks/` - Custom React hooks
+- **API**: `web/src/api/` - API client functions
+- **Types**: `web/src/types/` - TypeScript type definitions
+
+## Testing Requirements
+
+### Backend Testing
+
+- **Framework**: Python unittest
+- **Run Command**: `python3 -u -m unittest`
+- **Location**: `frigate/test/`
+- **Coverage**: Aim for comprehensive test coverage of core functionality
+- **Pattern**: Use `TestCase` classes with descriptive test method names
+  ```python
+  class TestMotionDetection(unittest.TestCase):
+      def test_detects_motion_above_threshold(self):
+          # Test implementation
+  ```
+
+### Test Best Practices
+
+- Always have a way to test your work and confirm your changes
+- Write tests for bug fixes to prevent regressions
+- Test edge cases and error conditions
+- Mock external dependencies (cameras, APIs, hardware)
+- Use fixtures for test data
+
+## Development Commands
+
+### Python Backend
+
+```bash
+# Run all tests
+python3 -u -m unittest
+
+# Run specific test file
+python3 -u -m unittest frigate.test.test_ffmpeg_presets
+
+# Check formatting (Ruff)
+ruff format --check frigate/
+
+# Apply formatting
+ruff format frigate/
+
+# Run linter
+ruff check frigate/
+```
+
+### Frontend (from web/ directory)
+
+```bash
+# Start dev server (AI agents should never run this directly unless asked)
+npm run dev
+
+# Build for production
+npm run build
+
+# Run linter
+npm run lint
+
+# Fix linting issues
+npm run lint:fix
+
+# Format code
+npm run prettier:write
+```
+
+### Docker Development
+
+AI agents should never run these commands directly unless instructed.
+
+```bash
+# Build local image
+make local
+
+# Build debug image
+make debug
+```
+
+## Common Patterns
+
+### API Endpoint Pattern
+
+```python
+from fastapi import APIRouter, Request
+from frigate.api.defs.tags import Tags
+
+router = APIRouter(tags=[Tags.Events])
+
+@router.get("/events")
+async def get_events(request: Request, limit: int = 100):
+    """Retrieve events from the database."""
+    # Implementation
+```
+
+### Configuration Access
+
+```python
+# Access Frigate configuration
+config: FrigateConfig = request.app.frigate_config
+camera_config = config.cameras["front_door"]
+```
+
+### Database Queries
+
+```python
+from frigate.models import Event
+
+# Use Peewee ORM for database access
+events = (
+    Event.select()
+    .where(Event.camera == camera_name)
+    .order_by(Event.start_time.desc())
+    .limit(limit)
+)
+```
+
+## Common Anti-Patterns to Avoid
+
+### ❌ Avoid These
+
+```python
+# Blocking operations in async functions
+data = requests.get(url)  # ❌ Use async HTTP client
+time.sleep(5)  # ❌ Use asyncio.sleep()
+
+# Hardcoded strings in React components
+<div>Camera not found</div>  # ❌ Use t("camera_not_found")
+
+# Missing error handling
+data = await api.get_data()  # ❌ No exception handling
+
+# Bare exceptions in regular code
+try:
+    value = await sensor.read()
+except Exception:  # ❌ Too broad
+    logger.error("Failed")
+```
+
+### ✅ Use These Instead
+
+```python
+# Async operations
+import aiohttp
+async with aiohttp.ClientSession() as session:
+    async with session.get(url) as response:
+        data = await response.json()
+
+await asyncio.sleep(5)  # ✅ Non-blocking
+
+# Translatable strings in React
+const { t } = useTranslation();
+<div>{t("camera_not_found")}</div>  # ✅ Translatable
+
+# Proper error handling
+try:
+    data = await api.get_data()
+except ApiException as err:
+    logger.error("API error: %s", err)
+    raise
+
+# Specific exceptions
+try:
+    value = await sensor.read()
+except SensorException as err:  # ✅ Specific
+    logger.exception("Failed to read sensor")
+```
+
+## Project-Specific Conventions
+
+### Configuration Files
+
+- Main config: `config/config.yml`
+
+### Directory Structure
+
+- Backend code: `frigate/`
+- Frontend code: `web/`
+- Docker files: `docker/`
+- Documentation: `docs/`
+- Database migrations: `migrations/`
+
+### Code Style Conformance
+
+Always conform new and refactored code to the existing coding style in the project:
+
+- Follow established patterns in similar files
+- Match indentation and formatting of surrounding code
+- Use consistent naming conventions (snake_case for Python, camelCase for TypeScript)
+- Maintain the same level of verbosity in comments and docstrings
+
+## Additional Resources
+
+- Documentation: https://docs.frigate.video
+- Main Repository: https://github.com/blakeblackshear/frigate
+- Home Assistant Integration: https://github.com/blakeblackshear/frigate-hass-integration
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index dcf3070b5..54df536d6 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -15,7 +15,7 @@ concurrency:
   cancel-in-progress: true
 
 env:
-  PYTHON_VERSION: 3.9
+  PYTHON_VERSION: 3.11
 
 jobs:
   amd64_build:
@@ -23,7 +23,7 @@ jobs:
     name: AMD64 Build
     steps:
       - name: Check out code
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
         with:
           persist-credentials: false
       - name: Set up QEMU and Buildx
@@ -47,7 +47,7 @@ jobs:
     name: ARM Build
     steps:
       - name: Check out code
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
         with:
           persist-credentials: false
       - name: Set up QEMU and Buildx
@@ -82,7 +82,7 @@ jobs:
     name: Jetson Jetpack 6
     steps:
       - name: Check out code
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
         with:
           persist-credentials: false
       - name: Set up QEMU and Buildx
@@ -113,7 +113,7 @@ jobs:
       - amd64_build
     steps:
       - name: Check out code
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
         with:
           persist-credentials: false
       - name: Set up QEMU and Buildx
@@ -136,7 +136,6 @@ jobs:
             *.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-tensorrt,mode=max
       - name: AMD/ROCm general build
         env:
-          AMDGPU: gfx
           HSA_OVERRIDE: 0
         uses: docker/bake-action@v6
         with:
@@ -155,7 +154,7 @@ jobs:
       - arm64_build
     steps:
       - name: Check out code
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
         with:
           persist-credentials: false
       - name: Set up QEMU and Buildx
@@ -180,7 +179,7 @@ jobs:
       - arm64_build
     steps:
       - name: Check out code
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
         with:
           persist-credentials: false
       - name: Set up QEMU and Buildx
diff --git a/.github/workflows/pull_request.yml b/.github/workflows/pull_request.yml
index 9f6f53523..c4d8aa7a0 100644
--- a/.github/workflows/pull_request.yml
+++ b/.github/workflows/pull_request.yml
@@ -16,12 +16,12 @@ jobs:
     name: Web - Lint
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
         with:
           persist-credentials: false
-      - uses: actions/setup-node@master
+      - uses: actions/setup-node@v6
         with:
-          node-version: 16.x
+          node-version: 20.x
       - run: npm install
         working-directory: ./web
       - name: Lint
@@ -32,10 +32,10 @@ jobs:
     name: Web - Test
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
         with:
           persist-credentials: false
-      - uses: actions/setup-node@master
+      - uses: actions/setup-node@v6
         with:
           node-version: 20.x
       - run: npm install
@@ -52,7 +52,7 @@ jobs:
     name: Python Checks
     steps:
       - name: Check out the repository
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
         with:
           persist-credentials: false
       - name: Set up Python ${{ env.DEFAULT_PYTHON }}
@@ -75,10 +75,10 @@ jobs:
     name: Python Tests
     steps:
       - name: Check out code
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
         with:
           persist-credentials: false
-      - uses: actions/setup-node@master
+      - uses: actions/setup-node@v6
         with:
           node-version: 20.x
       - name: Install devcontainer cli
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index cf1079d22..1fbf58f6e 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -10,7 +10,7 @@ jobs:
     runs-on: ubuntu-latest
 
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
         with:
           persist-credentials: false
       - id: lowercaseRepo
@@ -39,14 +39,14 @@ jobs:
           STABLE_TAG=${BASE}:stable
           PULL_TAG=${BASE}:${BUILD_TAG}
           docker run --rm -v $HOME/.docker/config.json:/config.json quay.io/skopeo/stable:latest copy --authfile /config.json --multi-arch all docker://${PULL_TAG} docker://${VERSION_TAG}
-          for variant in standard-arm64 tensorrt tensorrt-jp6 rk rocm; do
+          for variant in standard-arm64 tensorrt tensorrt-jp6 rk rocm synaptics; do
             docker run --rm -v $HOME/.docker/config.json:/config.json quay.io/skopeo/stable:latest copy --authfile /config.json --multi-arch all docker://${PULL_TAG}-${variant} docker://${VERSION_TAG}-${variant}
           done
 
           # stable tag
           if [[ "${BUILD_TYPE}" == "stable" ]]; then
             docker run --rm -v $HOME/.docker/config.json:/config.json quay.io/skopeo/stable:latest copy --authfile /config.json --multi-arch all docker://${PULL_TAG} docker://${STABLE_TAG}
-            for variant in standard-arm64 tensorrt tensorrt-jp6 rk rocm; do
+            for variant in standard-arm64 tensorrt tensorrt-jp6 rk rocm synaptics; do
               docker run --rm -v $HOME/.docker/config.json:/config.json quay.io/skopeo/stable:latest copy --authfile /config.json --multi-arch all docker://${PULL_TAG}-${variant} docker://${STABLE_TAG}-${variant}
             done
           fi
diff --git a/.gitignore b/.gitignore
index 8456d9be0..660a378b0 100644
--- a/.gitignore
+++ b/.gitignore
@@ -15,6 +15,7 @@ frigate/version.py
 web/build
 web/node_modules
 web/coverage
+web/.env
 core
 !/web/**/*.ts
 .idea/*
diff --git a/LICENSE b/LICENSE
index bd7c18a7f..924cb4148 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,6 +1,6 @@
 The MIT License
 
-Copyright (c) 2020 Blake Blackshear
+Copyright (c) 2026 Frigate, Inc. (Frigate™)
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal
@@ -18,4 +18,4 @@ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
\ No newline at end of file
+SOFTWARE.
diff --git a/Makefile b/Makefile
index 2baac5aad..d1427b6df 100644
--- a/Makefile
+++ b/Makefile
@@ -14,6 +14,7 @@ push-boards: $(BOARDS:%=push-%)
 
 version:
 	echo 'VERSION = "$(VERSION)-$(COMMIT_HASH)"' > frigate/version.py
+	echo 'VITE_GIT_COMMIT_HASH=$(COMMIT_HASH)' > web/.env
 
 local: version
 	docker buildx build --target=frigate --file docker/main/Dockerfile . \
diff --git a/README.md b/README.md
index 35e8cb7e9..1fb158b19 100644
--- a/README.md
+++ b/README.md
@@ -1,8 +1,10 @@
 <p align="center">
-  <img align="center" alt="logo" src="docs/static/img/frigate.png">
+  <img align="center" alt="logo" src="docs/static/img/branding/frigate.png">
 </p>
 
-# Frigate - NVR With Realtime Object Detection for IP Cameras
+# Frigate NVR™ - Realtime Object Detection for IP Cameras
+
+[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
 
 <a href="https://hosted.weblate.org/engage/frigate-nvr/">
 <img src="https://hosted.weblate.org/widget/frigate-nvr/language-badge.svg" alt="Translation status" />
@@ -12,7 +14,7 @@
 
 A complete and local NVR designed for [Home Assistant](https://www.home-assistant.io) with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
 
-Use of a GPU or AI accelerator such as a [Google Coral](https://coral.ai/products/) or [Hailo](https://hailo.ai/) is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead.
+Use of a GPU or AI accelerator is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported [object detectors](https://docs.frigate.video/configuration/object_detectors/).
 
 - Tight integration with Home Assistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration)
 - Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
@@ -33,6 +35,15 @@ View the documentation at https://docs.frigate.video
 
 If you would like to make a donation to support development, please use [Github Sponsors](https://github.com/sponsors/blakeblackshear).
 
+## License
+
+This project is licensed under the **MIT License**.
+
+- **Code:** The source code, configuration files, and documentation in this repository are available under the [MIT License](LICENSE). You are free to use, modify, and distribute the code as long as you include the original copyright notice.
+- **Trademarks:** The "Frigate" name, the "Frigate NVR" brand, and the Frigate logo are **trademarks of Frigate, Inc.** and are **not** covered by the MIT License.
+
+Please see our [Trademark Policy](TRADEMARK.md) for details on acceptable use of our brand assets.
+
 ## Screenshots
 
 ### Live dashboard
@@ -56,7 +67,7 @@ If you would like to make a donation to support development, please use [Github
 ### Built-in mask and zone editor
 
 <div>
-<img width="800" alt="Multi-camera scrubbing" src="https://github.com/blakeblackshear/frigate/assets/569905/d7885fc3-bfe6-452f-b7d0-d957cb3e31f5">
+<img width="800" alt="Built-in mask and zone editor" src="https://github.com/blakeblackshear/frigate/assets/569905/d7885fc3-bfe6-452f-b7d0-d957cb3e31f5">
 </div>
 
 ## Translations
@@ -66,3 +77,7 @@ We use [Weblate](https://hosted.weblate.org/projects/frigate-nvr/) to support la
 <a href="https://hosted.weblate.org/engage/frigate-nvr/">
 <img src="https://hosted.weblate.org/widget/frigate-nvr/multi-auto.svg" alt="Translation status" />
 </a>
+
+---
+
+**Copyright © 2026 Frigate, Inc.**
diff --git a/README_CN.md b/README_CN.md
index 07fb5bd59..62df77b5c 100644
--- a/README_CN.md
+++ b/README_CN.md
@@ -1,28 +1,31 @@
 <p align="center">
-  <img align="center" alt="logo" src="docs/static/img/frigate.png">
+  <img align="center" alt="logo" src="docs/static/img/branding/frigate.png">
 </p>
 
-# Frigate - 一个具有实时目标检测的本地NVR
-
-[English](https://github.com/blakeblackshear/frigate) | \[简体中文\] 
+# Frigate NVR™ - 一个具有实时目标检测的本地 NVR
 
 <a href="https://hosted.weblate.org/engage/frigate-nvr/-/zh_Hans/">
 <img src="https://hosted.weblate.org/widget/frigate-nvr/-/zh_Hans/svg-badge.svg" alt="翻译状态" />
 </a>
 
-一个完整的本地网络视频录像机（NVR），专为[Home Assistant](https://www.home-assistant.io)设计，具备AI物体检测功能。使用OpenCV和TensorFlow在本地为IP摄像头执行实时物体检测。
+[English](https://github.com/blakeblackshear/frigate) | \[简体中文\]
 
-强烈推荐使用GPU或者AI加速器（例如[Google Coral加速器](https://coral.ai/products/) 或者 [Hailo](https://hailo.ai/)）。它们的性能甚至超过目前的顶级CPU，并且可以以极低的耗电实现更优的性能。
-- 通过[自定义组件](https://github.com/blakeblackshear/frigate-hass-integration)与Home Assistant紧密集成
-- 设计上通过仅在必要时和必要地点寻找物体，最大限度地减少资源使用并最大化性能
+[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+
+一个完整的本地网络视频录像机（NVR），专为[Home Assistant](https://www.home-assistant.io)设计，具备 AI 目标/物体检测功能。使用 OpenCV 和 TensorFlow 在本地为 IP 摄像头执行实时物体检测。
+
+强烈推荐使用 GPU 或者 AI 加速器（例如[Google Coral 加速器](https://coral.ai/products/) 或者 [Hailo](https://hailo.ai/)等）。它们的运行效率远远高于现在的顶级 CPU，并且功耗也极低。
+
+- 通过[自定义组件](https://github.com/blakeblackshear/frigate-hass-integration)与 Home Assistant 紧密集成
+- 设计上通过仅在必要时和必要地点寻找目标，最大限度地减少资源使用并最大化性能
 - 大量利用多进程处理，强调实时性而非处理每一帧
-- 使用非常低开销的运动检测来确定运行物体检测的位置
-- 使用TensorFlow进行物体检测，运行在单独的进程中以达到最大FPS
-- 通过MQTT进行通信，便于集成到其他系统中
+- 使用非常低开销的画面变动检测（也叫运动检测）来确定运行目标检测的位置
+- 使用 TensorFlow 进行目标检测，并运行在单独的进程中以达到最大 FPS
+- 通过 MQTT 进行通信，便于集成到其他系统中
 - 根据检测到的物体设置保留时间进行视频录制
-- 24/7全天候录制
-- 通过RTSP重新流传输以减少摄像头的连接数
-- 支持WebRTC和MSE，实现低延迟的实时观看
+- 24/7 全天候录制
+- 通过 RTSP 重新流传输以减少摄像头的连接数
+- 支持 WebRTC 和 MSE，实现低延迟的实时观看
 
 ## 社区中文翻译文档
 
@@ -32,39 +35,56 @@
 
 如果您想通过捐赠支持开发，请使用 [Github Sponsors](https://github.com/sponsors/blakeblackshear)。
 
+## 协议
+
+本项目采用 **MIT 许可证**授权。
+
+**代码部分**：本代码库中的源代码、配置文件和文档均遵循 [MIT 许可证](LICENSE)。您可以自由使用、修改和分发这些代码，但必须保留原始版权声明。
+
+**商标部分**：“Frigate”名称、“Frigate NVR”品牌以及 Frigate 的 Logo 为 **Frigate, Inc. 的商标**，**不在** MIT 许可证覆盖范围内。
+有关品牌资产的规范使用详情，请参阅我们的[《商标政策》](TRADEMARK.md)。
+
 ## 截图
 
 ### 实时监控面板
+
 <div>
 <img width="800" alt="实时监控面板" src="https://github.com/blakeblackshear/frigate/assets/569905/5e713cb9-9db5-41dc-947a-6937c3bc376e">
 </div>
 
 ### 简单的核查工作流程
+
 <div>
 <img width="800" alt="简单的审查工作流程" src="https://github.com/blakeblackshear/frigate/assets/569905/6fed96e8-3b18-40e5-9ddc-31e6f3c9f2ff">
 </div>
 
 ### 多摄像头可按时间轴查看
+
 <div>
 <img width="800" alt="多摄像头可按时间轴查看" src="https://github.com/blakeblackshear/frigate/assets/569905/d6788a15-0eeb-4427-a8d4-80b93cae3d74">
 </div>
 
 ### 内置遮罩和区域编辑器
+
 <div>
 <img width="800" alt="内置遮罩和区域编辑器" src="https://github.com/blakeblackshear/frigate/assets/569905/d7885fc3-bfe6-452f-b7d0-d957cb3e31f5">
 </div>
 
-
 ## 翻译
+
 我们使用 [Weblate](https://hosted.weblate.org/projects/frigate-nvr/) 平台提供翻译支持，欢迎参与进来一起完善。
 
-
 ## 非官方中文讨论社区
-欢迎加入中文讨论QQ群：[1043861059](https://qm.qq.com/q/7vQKsTmSz)
+
+欢迎加入中文讨论 QQ 群：[1043861059](https://qm.qq.com/q/7vQKsTmSz)
 
 Bilibili：https://space.bilibili.com/3546894915602564
 
-
 ## 中文社区赞助商
+
 [![EdgeOne](https://edgeone.ai/media/34fe3a45-492d-4ea4-ae5d-ea1087ca7b4b.png)](https://edgeone.ai/zh?from=github)
 本项目 CDN 加速及安全防护由 Tencent EdgeOne 赞助
+
+---
+
+**Copyright © 2026 Frigate, Inc.**
diff --git a/TRADEMARK.md b/TRADEMARK.md
new file mode 100644
index 000000000..fdbdc14d2
--- /dev/null
+++ b/TRADEMARK.md
@@ -0,0 +1,58 @@
+# Trademark Policy
+
+**Last Updated:** November 2025
+
+This document outlines the policy regarding the use of the trademarks associated with the Frigate NVR project.
+
+## 1. Our Trademarks
+
+The following terms and visual assets are trademarks (the "Marks") of **Frigate, Inc.**:
+
+- **Frigate™**
+- **Frigate NVR™**
+- **Frigate+™**
+- **The Frigate Logo**
+
+**Note on Common Law Rights:**
+Frigate, Inc. asserts all common law rights in these Marks. The absence of a federal registration symbol (®) does not constitute a waiver of our intellectual property rights.
+
+## 2. Interaction with the MIT License
+
+The software in this repository is licensed under the [MIT License](LICENSE).
+
+**Crucial Distinction:**
+
+- The **Code** is free to use, modify, and distribute under the MIT terms.
+- The **Brand (Trademarks)** is **NOT** licensed under MIT.
+
+You may not use the Marks in any way that is not explicitly permitted by this policy or by written agreement with Frigate, Inc.
+
+## 3. Acceptable Use
+
+You may use the Marks without prior written permission in the following specific contexts:
+
+- **Referential Use:** To truthfully refer to the software (e.g., _"I use Frigate NVR for my home security"_).
+- **Compatibility:** To indicate that your product or project works with the software (e.g., _"MyPlugin for Frigate NVR"_ or _"Compatible with Frigate"_).
+- **Commentary:** In news articles, blog posts, or tutorials discussing the software.
+
+## 4. Prohibited Use
+
+You may **NOT** use the Marks in the following ways:
+
+- **Commercial Products:** You may not use "Frigate" in the name of a commercial product, service, or app (e.g., selling an app named _"Frigate Viewer"_ is prohibited).
+- **Implying Affiliation:** You may not use the Marks in a way that suggests your project is official, sponsored by, or endorsed by Frigate, Inc.
+- **Confusing Forks:** If you fork this repository to create a derivative work, you **must** remove the Frigate logo and rename your project to avoid user confusion. You cannot distribute a modified version of the software under the name "Frigate".
+- **Domain Names:** You may not register domain names containing "Frigate" that are likely to confuse users (e.g., `frigate-official-support.com`).
+
+## 5. The Logo
+
+The Frigate logo (the bird icon) is a visual trademark.
+
+- You generally **cannot** use the logo on your own website or product packaging without permission.
+- If you are building a dashboard or integration that interfaces with Frigate, you may use the logo only to represent the Frigate node/service, provided it does not imply you _are_ Frigate.
+
+## 6. Questions & Permissions
+
+If you are unsure if your intended use violates this policy, or if you wish to request a specific license to use the Marks (e.g., for a partnership), please contact us at:
+
+**help@frigate.video**
diff --git a/docker/main/Dockerfile b/docker/main/Dockerfile
index 8dbf5ff86..055a1458f 100644
--- a/docker/main/Dockerfile
+++ b/docker/main/Dockerfile
@@ -237,8 +237,18 @@ ENV PYTHONWARNINGS="ignore:::numpy.core.getlimits"
 # Set HailoRT to disable logging
 ENV HAILORT_LOGGER_PATH=NONE
 
-# TensorFlow error only
+# TensorFlow C++ logging suppression (must be set before import)
+# TF_CPP_MIN_LOG_LEVEL: 0=all, 1=INFO+, 2=WARNING+, 3=ERROR+ (we use 3 for errors only)
 ENV TF_CPP_MIN_LOG_LEVEL=3
+# Suppress verbose logging from TensorFlow C++ code
+ENV TF_CPP_MIN_VLOG_LEVEL=3
+# Disable oneDNN optimization messages ("optimized with oneDNN...")
+ENV TF_ENABLE_ONEDNN_OPTS=0
+# Suppress AutoGraph verbosity during conversion
+ENV AUTOGRAPH_VERBOSITY=0
+# Google Logging (GLOG) suppression for TensorFlow components
+ENV GLOG_minloglevel=3
+ENV GLOG_logtostderr=0
 
 ENV PATH="/usr/local/go2rtc/bin:/usr/local/tempio/bin:/usr/local/nginx/sbin:${PATH}"
 
diff --git a/docker/main/build_pysqlite3.sh b/docker/main/build_pysqlite3.sh
index c84c6fcf7..14d0cde44 100755
--- a/docker/main/build_pysqlite3.sh
+++ b/docker/main/build_pysqlite3.sh
@@ -5,21 +5,27 @@ set -euxo pipefail
 SQLITE3_VERSION="3.46.1"
 PYSQLITE3_VERSION="0.5.3"
 
+# Install libsqlite3-dev if not present (needed for some base images like NVIDIA TensorRT)
+if ! dpkg -l | grep -q libsqlite3-dev; then
+  echo "Installing libsqlite3-dev for compilation..."
+  apt-get update && apt-get install -y libsqlite3-dev && rm -rf /var/lib/apt/lists/*
+fi
+
 # Fetch the pre-built sqlite amalgamation instead of building from source
 if [[ ! -d "sqlite" ]]; then
   mkdir sqlite
   cd sqlite
-  
+
   # Download the pre-built amalgamation from sqlite.org
   # For SQLite 3.46.1, the amalgamation version is 3460100
   SQLITE_AMALGAMATION_VERSION="3460100"
-  
+
   wget https://www.sqlite.org/2024/sqlite-amalgamation-${SQLITE_AMALGAMATION_VERSION}.zip -O sqlite-amalgamation.zip
   unzip sqlite-amalgamation.zip
   mv sqlite-amalgamation-${SQLITE_AMALGAMATION_VERSION}/* .
   rmdir sqlite-amalgamation-${SQLITE_AMALGAMATION_VERSION}
   rm sqlite-amalgamation.zip
-  
+
   cd ../
 fi
 
diff --git a/docker/main/install_deps.sh b/docker/main/install_deps.sh
index c4fe56f03..330caff9f 100755
--- a/docker/main/install_deps.sh
+++ b/docker/main/install_deps.sh
@@ -20,6 +20,7 @@ apt-get -qq install --no-install-recommends -y \
     libgl1 \
     libglib2.0-0 \
     libusb-1.0.0 \
+    python3-h2 \
     libgomp1  # memryx detector
 
 update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1
@@ -95,6 +96,9 @@ if [[ "${TARGETARCH}" == "amd64" ]]; then
 
     apt-get -qq install -y ocl-icd-libopencl1
 
+    # install libtbb12 for NPU support
+    apt-get -qq install -y libtbb12
+
     rm -f /usr/share/keyrings/intel-graphics.gpg
     rm -f /etc/apt/sources.list.d/intel-gpu-jammy.list
 
@@ -115,6 +119,11 @@ if [[ "${TARGETARCH}" == "amd64" ]]; then
     wget https://github.com/intel/compute-runtime/releases/download/24.52.32224.5/intel-level-zero-gpu_1.6.32224.5_amd64.deb
     wget https://github.com/intel/intel-graphics-compiler/releases/download/v2.5.6/intel-igc-opencl-2_2.5.6+18417_amd64.deb
     wget https://github.com/intel/intel-graphics-compiler/releases/download/v2.5.6/intel-igc-core-2_2.5.6+18417_amd64.deb
+    # npu packages
+    wget https://github.com/oneapi-src/level-zero/releases/download/v1.21.9/level-zero_1.21.9+u22.04_amd64.deb
+    wget https://github.com/intel/linux-npu-driver/releases/download/v1.17.0/intel-driver-compiler-npu_1.17.0.20250508-14912879441_ubuntu22.04_amd64.deb
+    wget https://github.com/intel/linux-npu-driver/releases/download/v1.17.0/intel-fw-npu_1.17.0.20250508-14912879441_ubuntu22.04_amd64.deb
+    wget https://github.com/intel/linux-npu-driver/releases/download/v1.17.0/intel-level-zero-npu_1.17.0.20250508-14912879441_ubuntu22.04_amd64.deb
 
     dpkg -i *.deb
     rm *.deb
@@ -136,6 +145,6 @@ rm -rf /var/lib/apt/lists/*
 
 # Install yq, for frigate-prepare and go2rtc echo source
 curl -fsSL \
-    "https://github.com/mikefarah/yq/releases/download/v4.33.3/yq_linux_$(dpkg --print-architecture)" \
+    "https://github.com/mikefarah/yq/releases/download/v4.48.2/yq_linux_$(dpkg --print-architecture)" \
     --output /usr/local/bin/yq
 chmod +x /usr/local/bin/yq
diff --git a/docker/main/install_memryx.sh b/docker/main/install_memryx.sh
index f96181ae0..676e06daa 100644
--- a/docker/main/install_memryx.sh
+++ b/docker/main/install_memryx.sh
@@ -2,9 +2,9 @@
 set -e
 
 # Download the MxAccl for Frigate github release
-wget https://github.com/memryx/mx_accl_frigate/archive/refs/heads/main.zip -O /tmp/mxaccl.zip
+wget https://github.com/memryx/mx_accl_frigate/archive/refs/tags/v2.1.0.zip -O /tmp/mxaccl.zip
 unzip /tmp/mxaccl.zip -d /tmp
-mv /tmp/mx_accl_frigate-main /opt/mx_accl_frigate
+mv /tmp/mx_accl_frigate-2.1.0 /opt/mx_accl_frigate
 rm /tmp/mxaccl.zip
 
 # Install Python dependencies
diff --git a/docker/main/requirements-wheels.txt b/docker/main/requirements-wheels.txt
index 7c0dc1843..f81fefea4 100644
--- a/docker/main/requirements-wheels.txt
+++ b/docker/main/requirements-wheels.txt
@@ -21,7 +21,7 @@ onvif-zeep-async == 4.0.*
 paho-mqtt == 2.1.*
 pandas == 2.2.*
 peewee == 3.17.*
-peewee_migrate == 1.13.*
+peewee_migrate == 1.14.*
 psutil == 7.1.*
 pydantic == 2.10.*
 git+https://github.com/fbcotter/py3nvml#egg=py3nvml
@@ -47,8 +47,8 @@ onnxruntime == 1.22.*
 # Embeddings
 transformers == 4.45.*
 # Generative AI
-google-generativeai == 0.8.*
-ollama == 0.5.*
+google-genai == 1.58.*
+ollama == 0.6.*
 openai == 1.65.*
 # push notifications
 py-vapid == 1.9.*
@@ -56,7 +56,7 @@ pywebpush == 2.0.*
 # alpr
 pyclipper == 1.3.*
 shapely == 2.0.*
-Levenshtein==0.26.*
+rapidfuzz==3.12.*
 # HailoRT Wheels
 appdirs==1.4.*
 argcomplete==2.0.*
@@ -81,3 +81,5 @@ librosa==0.11.*
 soundfile==0.13.*
 # DeGirum detector
 degirum == 0.16.*
+# Memory profiling
+memray == 1.15.*
diff --git a/docker/main/requirements.txt b/docker/main/requirements.txt
index 3ae420d07..f1ba7d9ad 100644
--- a/docker/main/requirements.txt
+++ b/docker/main/requirements.txt
@@ -1,2 +1 @@
 scikit-build == 0.18.*
-nvidia-pyindex
diff --git a/docker/main/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/run b/docker/main/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/run
index 8f5b1c267..7df29f8f5 100755
--- a/docker/main/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/run
+++ b/docker/main/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/run
@@ -54,7 +54,7 @@ function setup_homekit_config() {
     local config_path="$1"
 
     if [[ ! -f "${config_path}" ]]; then
-        echo "[INFO] Creating empty HomeKit config file..."
+        echo "[INFO] Creating empty config file for HomeKit..."
         echo '{}' > "${config_path}"
     fi
 
@@ -69,13 +69,15 @@ function setup_homekit_config() {
     local cleaned_json="/tmp/cache/homekit_cleaned.json"
     jq '
         # Keep only the homekit section if it exists, otherwise empty object
-        if has("homekit") then {homekit: .homekit} else {homekit: {}} end
-    ' "${temp_json}" > "${cleaned_json}" 2>/dev/null || echo '{"homekit": {}}' > "${cleaned_json}"
+        if has("homekit") then {homekit: .homekit} else {} end
+    ' "${temp_json}" > "${cleaned_json}" 2>/dev/null || {
+        echo '{}' > "${cleaned_json}"
+    }
 
     # Convert back to YAML and write to the config file
     yq eval -P "${cleaned_json}" > "${config_path}" 2>/dev/null || {
         echo "[WARNING] Failed to convert cleaned config to YAML, creating minimal config"
-        echo '{"homekit": {}}' > "${config_path}"
+        echo '{}' > "${config_path}"
     }
 
     # Clean up temp files
diff --git a/docker/main/rootfs/usr/local/go2rtc/create_config.py b/docker/main/rootfs/usr/local/go2rtc/create_config.py
index 1b44a8067..fb701a9b6 100644
--- a/docker/main/rootfs/usr/local/go2rtc/create_config.py
+++ b/docker/main/rootfs/usr/local/go2rtc/create_config.py
@@ -22,6 +22,31 @@ sys.path.remove("/opt/frigate")
 
 yaml = YAML()
 
+# Check if arbitrary exec sources are allowed (defaults to False for security)
+allow_arbitrary_exec = None
+if "GO2RTC_ALLOW_ARBITRARY_EXEC" in os.environ:
+    allow_arbitrary_exec = os.environ.get("GO2RTC_ALLOW_ARBITRARY_EXEC")
+elif (
+    os.path.isdir("/run/secrets")
+    and os.access("/run/secrets", os.R_OK)
+    and "GO2RTC_ALLOW_ARBITRARY_EXEC" in os.listdir("/run/secrets")
+):
+    allow_arbitrary_exec = (
+        Path(os.path.join("/run/secrets", "GO2RTC_ALLOW_ARBITRARY_EXEC"))
+        .read_text()
+        .strip()
+    )
+# check for the add-on options file
+elif os.path.isfile("/data/options.json"):
+    with open("/data/options.json") as f:
+        raw_options = f.read()
+    options = json.loads(raw_options)
+    allow_arbitrary_exec = options.get("go2rtc_allow_arbitrary_exec")
+
+ALLOW_ARBITRARY_EXEC = allow_arbitrary_exec is not None and str(
+    allow_arbitrary_exec
+).lower() in ("true", "1", "yes")
+
 FRIGATE_ENV_VARS = {k: v for k, v in os.environ.items() if k.startswith("FRIGATE_")}
 # read docker secret files as env vars too
 if os.path.isdir("/run/secrets"):
@@ -109,14 +134,26 @@ if LIBAVFORMAT_VERSION_MAJOR < 59:
     elif go2rtc_config["ffmpeg"].get("rtsp") is None:
         go2rtc_config["ffmpeg"]["rtsp"] = rtsp_args
 
-for name in go2rtc_config.get("streams", {}):
+
+def is_restricted_source(stream_source: str) -> bool:
+    """Check if a stream source is restricted (echo, expr, or exec)."""
+    return stream_source.strip().startswith(("echo:", "expr:", "exec:"))
+
+
+for name in list(go2rtc_config.get("streams", {})):
     stream = go2rtc_config["streams"][name]
 
     if isinstance(stream, str):
         try:
-            go2rtc_config["streams"][name] = go2rtc_config["streams"][name].format(
-                **FRIGATE_ENV_VARS
-            )
+            formatted_stream = stream.format(**FRIGATE_ENV_VARS)
+            if not ALLOW_ARBITRARY_EXEC and is_restricted_source(formatted_stream):
+                print(
+                    f"[ERROR] Stream '{name}' uses a restricted source (echo/expr/exec) which is disabled by default for security. "
+                    f"Set GO2RTC_ALLOW_ARBITRARY_EXEC=true to enable arbitrary exec sources."
+                )
+                del go2rtc_config["streams"][name]
+                continue
+            go2rtc_config["streams"][name] = formatted_stream
         except KeyError as e:
             print(
                 "[ERROR] Invalid substitution found, see https://docs.frigate.video/configuration/restream#advanced-restream-configurations for more info."
@@ -124,15 +161,33 @@ for name in go2rtc_config.get("streams", {}):
             sys.exit(e)
 
     elif isinstance(stream, list):
-        for i, stream in enumerate(stream):
+        filtered_streams = []
+        for i, stream_item in enumerate(stream):
             try:
-                go2rtc_config["streams"][name][i] = stream.format(**FRIGATE_ENV_VARS)
+                formatted_stream = stream_item.format(**FRIGATE_ENV_VARS)
+                if not ALLOW_ARBITRARY_EXEC and is_restricted_source(formatted_stream):
+                    print(
+                        f"[ERROR] Stream '{name}' item {i + 1} uses a restricted source (echo/expr/exec) which is disabled by default for security. "
+                        f"Set GO2RTC_ALLOW_ARBITRARY_EXEC=true to enable arbitrary exec sources."
+                    )
+                    continue
+
+                filtered_streams.append(formatted_stream)
             except KeyError as e:
                 print(
                     "[ERROR] Invalid substitution found, see https://docs.frigate.video/configuration/restream#advanced-restream-configurations for more info."
                 )
                 sys.exit(e)
 
+        if filtered_streams:
+            go2rtc_config["streams"][name] = filtered_streams
+        else:
+            print(
+                f"[ERROR] Stream '{name}' was removed because all sources were restricted (echo/expr/exec). "
+                f"Set GO2RTC_ALLOW_ARBITRARY_EXEC=true to enable arbitrary exec sources."
+            )
+            del go2rtc_config["streams"][name]
+
 # add birdseye restream stream if enabled
 if config.get("birdseye", {}).get("restream", False):
     birdseye: dict[str, Any] = config.get("birdseye")
diff --git a/docker/main/rootfs/usr/local/nginx/conf/nginx.conf b/docker/main/rootfs/usr/local/nginx/conf/nginx.conf
index 32099771d..46241c5ab 100644
--- a/docker/main/rootfs/usr/local/nginx/conf/nginx.conf
+++ b/docker/main/rootfs/usr/local/nginx/conf/nginx.conf
@@ -73,6 +73,8 @@ http {
         vod_manifest_segment_durations_mode accurate;
         vod_ignore_edit_list on;
         vod_segment_duration 10000;
+
+        # MPEG-TS settings (not used when fMP4 is enabled, kept for reference)
         vod_hls_mpegts_align_frames off;
         vod_hls_mpegts_interleave_frames on;
 
@@ -105,6 +107,10 @@ http {
             aio threads;
             vod hls;
 
+            # Use fMP4 (fragmented MP4) instead of MPEG-TS for better performance
+            # Smaller segments, faster generation, better browser compatibility
+            vod_hls_container_format fmp4;
+
             secure_token $args;
             secure_token_types application/vnd.apple.mpegurl;
 
@@ -274,6 +280,18 @@ http {
                 include proxy.conf;
             }
 
+            # Allow unauthenticated access to the first_time_login endpoint
+            # so the login page can load help text before authentication.
+            location /api/auth/first_time_login {
+                auth_request off;
+                limit_except GET {
+                    deny all;
+                }
+                rewrite ^/api(/.*)$ $1 break;
+                proxy_pass http://frigate_api;
+                include proxy.conf;
+            }
+
             location /api/stats {
                 include auth_request.conf;
                 access_log off;
@@ -302,6 +320,12 @@ http {
                 add_header Cache-Control "public";
             }
 
+            location /fonts/ {
+                access_log off;
+                expires 1y;
+                add_header Cache-Control "public";
+            }
+
             location /locales/ {
                 access_log off;
                 add_header Cache-Control "public";
diff --git a/docker/main/rootfs/usr/local/nginx/conf/proxy_trusted_headers.conf b/docker/main/rootfs/usr/local/nginx/conf/proxy_trusted_headers.conf
index 54c05ab3b..c945810be 100644
--- a/docker/main/rootfs/usr/local/nginx/conf/proxy_trusted_headers.conf
+++ b/docker/main/rootfs/usr/local/nginx/conf/proxy_trusted_headers.conf
@@ -18,6 +18,10 @@ proxy_set_header X-Forwarded-User $http_x_forwarded_user;
 proxy_set_header X-Forwarded-Groups $http_x_forwarded_groups;
 proxy_set_header X-Forwarded-Email $http_x_forwarded_email;
 proxy_set_header X-Forwarded-Preferred-Username $http_x_forwarded_preferred_username;
+proxy_set_header X-Auth-Request-User $http_x_auth_request_user;
+proxy_set_header X-Auth-Request-Groups $http_x_auth_request_groups;
+proxy_set_header X-Auth-Request-Email $http_x_auth_request_email;
+proxy_set_header X-Auth-Request-Preferred-Username $http_x_auth_request_preferred_username;
 proxy_set_header X-authentik-username $http_x_authentik_username;
 proxy_set_header X-authentik-groups $http_x_authentik_groups;
 proxy_set_header X-authentik-email $http_x_authentik_email;
diff --git a/docker/memryx/user_installation.sh b/docker/memryx/user_installation.sh
index 20c9b8ece..b92b7e3b1 100644
--- a/docker/memryx/user_installation.sh
+++ b/docker/memryx/user_installation.sh
@@ -24,10 +24,13 @@ echo "Adding MemryX GPG key and repository..."
 wget -qO- https://developer.memryx.com/deb/memryx.asc | sudo tee /etc/apt/trusted.gpg.d/memryx.asc >/dev/null
 echo 'deb https://developer.memryx.com/deb stable main' | sudo tee /etc/apt/sources.list.d/memryx.list >/dev/null
 
-# Update and install memx-drivers
-echo "Installing memx-drivers..."
+# Update and install specific SDK 2.1 packages
+echo "Installing MemryX SDK 2.1 packages..."
 sudo apt update
-sudo apt install -y memx-drivers
+sudo apt install -y memx-drivers=2.1.* memx-accl=2.1.* mxa-manager=2.1.*
+
+# Hold packages to prevent automatic upgrades
+sudo apt-mark hold memx-drivers memx-accl mxa-manager
 
 # ARM-specific board setup
 if [[ "$arch" == "aarch64" || "$arch" == "arm64" ]]; then
@@ -37,11 +40,5 @@ fi
 
 echo -e "\n\n\033[1;31mYOU MUST RESTART YOUR COMPUTER NOW\033[0m\n\n"
 
-# Install other runtime packages
-packages=("memx-accl" "mxa-manager")
-for pkg in "${packages[@]}"; do
-    echo "Installing $pkg..."
-    sudo apt install -y "$pkg"
-done
+echo "MemryX SDK 2.1 installation complete!"
 
-echo "MemryX installation complete!"
diff --git a/docker/rocm/Dockerfile b/docker/rocm/Dockerfile
index d59d08428..9edcd6058 100644
--- a/docker/rocm/Dockerfile
+++ b/docker/rocm/Dockerfile
@@ -3,7 +3,6 @@
 # https://askubuntu.com/questions/972516/debian-frontend-environment-variable
 ARG DEBIAN_FRONTEND=noninteractive
 ARG ROCM=1
-ARG AMDGPU=gfx900
 ARG HSA_OVERRIDE_GFX_VERSION
 ARG HSA_OVERRIDE
 
@@ -11,11 +10,10 @@ ARG HSA_OVERRIDE
 FROM wget AS rocm
 
 ARG ROCM
-ARG AMDGPU
 
 RUN apt update -qq && \
     apt install -y wget gpg && \
-    wget -O rocm.deb https://repo.radeon.com/amdgpu-install/7.0.2/ubuntu/jammy/amdgpu-install_7.0.2.70002-1_all.deb && \
+    wget -O rocm.deb https://repo.radeon.com/amdgpu-install/7.1.1/ubuntu/jammy/amdgpu-install_7.1.1.70101-1_all.deb && \
     apt install -y ./rocm.deb && \
     apt update && \
     apt install -qq -y rocm
@@ -36,7 +34,10 @@ FROM deps AS deps-prelim
 COPY docker/rocm/debian-backports.sources /etc/apt/sources.list.d/debian-backports.sources
 RUN apt-get update && \
     apt-get install -y libnuma1 && \
-    apt-get install -qq -y -t bookworm-backports mesa-va-drivers mesa-vulkan-drivers
+    apt-get install -qq -y -t bookworm-backports mesa-va-drivers mesa-vulkan-drivers && \
+    # Install C++ standard library headers for HIPRTC kernel compilation fallback
+    apt-get install -qq -y libstdc++-12-dev && \
+    rm -rf /var/lib/apt/lists/*
 
 WORKDIR /opt/frigate
 COPY --from=rootfs / /
@@ -54,12 +55,14 @@ RUN pip3 uninstall -y onnxruntime \
 FROM scratch AS rocm-dist
 
 ARG ROCM
-ARG AMDGPU
 
 COPY --from=rocm /opt/rocm-$ROCM/bin/rocminfo /opt/rocm-$ROCM/bin/migraphx-driver /opt/rocm-$ROCM/bin/
-COPY --from=rocm /opt/rocm-$ROCM/share/miopen/db/*$AMDGPU* /opt/rocm-$ROCM/share/miopen/db/
-COPY --from=rocm /opt/rocm-$ROCM/share/miopen/db/*gfx908* /opt/rocm-$ROCM/share/miopen/db/
-COPY --from=rocm /opt/rocm-$ROCM/lib/rocblas/library/*$AMDGPU* /opt/rocm-$ROCM/lib/rocblas/library/
+# Copy MIOpen database files for gfx10xx and gfx11xx only (RDNA2/RDNA3)
+COPY --from=rocm /opt/rocm-$ROCM/share/miopen/db/*gfx10* /opt/rocm-$ROCM/share/miopen/db/
+COPY --from=rocm /opt/rocm-$ROCM/share/miopen/db/*gfx11* /opt/rocm-$ROCM/share/miopen/db/
+# Copy rocBLAS library files for gfx10xx and gfx11xx only
+COPY --from=rocm /opt/rocm-$ROCM/lib/rocblas/library/*gfx10* /opt/rocm-$ROCM/lib/rocblas/library/
+COPY --from=rocm /opt/rocm-$ROCM/lib/rocblas/library/*gfx11* /opt/rocm-$ROCM/lib/rocblas/library/
 COPY --from=rocm /opt/rocm-dist/ /
 
 #######################################################################
diff --git a/docker/rocm/requirements-wheels-rocm.txt b/docker/rocm/requirements-wheels-rocm.txt
index b609610db..b6a202f93 100644
--- a/docker/rocm/requirements-wheels-rocm.txt
+++ b/docker/rocm/requirements-wheels-rocm.txt
@@ -1 +1 @@
-onnxruntime-migraphx @ https://github.com/NickM-27/frigate-onnxruntime-rocm/releases/download/v7.0.2/onnxruntime_migraphx-1.23.1-cp311-cp311-linux_x86_64.whl
\ No newline at end of file
+onnxruntime-migraphx @ https://github.com/NickM-27/frigate-onnxruntime-rocm/releases/download/v7.1.0/onnxruntime_migraphx-1.23.1-cp311-cp311-linux_x86_64.whl
\ No newline at end of file
diff --git a/docker/rocm/rocm.hcl b/docker/rocm/rocm.hcl
index e5fce4e1b..6595066c5 100644
--- a/docker/rocm/rocm.hcl
+++ b/docker/rocm/rocm.hcl
@@ -1,8 +1,5 @@
-variable "AMDGPU" {
-  default = "gfx900"
-}
 variable "ROCM" {
-  default = "7.0.2"
+  default = "7.1.1"
 }
 variable "HSA_OVERRIDE_GFX_VERSION" {
   default = ""
@@ -38,7 +35,6 @@ target rocm {
   }
   platforms = ["linux/amd64"]
   args = {
-    AMDGPU = AMDGPU,
     ROCM = ROCM,
     HSA_OVERRIDE_GFX_VERSION = HSA_OVERRIDE_GFX_VERSION,
     HSA_OVERRIDE = HSA_OVERRIDE
diff --git a/docker/rocm/rocm.mk b/docker/rocm/rocm.mk
index c92a458f5..f98d38772 100644
--- a/docker/rocm/rocm.mk
+++ b/docker/rocm/rocm.mk
@@ -1,53 +1,15 @@
 BOARDS += rocm
 
-# AMD/ROCm is chunky so we build couple of smaller images for specific chipsets
-ROCM_CHIPSETS:=gfx900:9.0.0 gfx1030:10.3.0 gfx1100:11.0.0
-
 local-rocm: version
-	$(foreach chipset,$(ROCM_CHIPSETS), \
-		AMDGPU=$(word 1,$(subst :, ,$(chipset))) \
-		HSA_OVERRIDE_GFX_VERSION=$(word 2,$(subst :, ,$(chipset))) \
-		HSA_OVERRIDE=1 \
-		docker buildx bake --file=docker/rocm/rocm.hcl rocm \
-			--set rocm.tags=frigate:latest-rocm-$(word 1,$(subst :, ,$(chipset))) \
-			--load \
-	&&) true
-	
-	unset HSA_OVERRIDE_GFX_VERSION && \
-	HSA_OVERRIDE=0 \
-	AMDGPU=gfx \
 	docker buildx bake --file=docker/rocm/rocm.hcl rocm \
 		--set rocm.tags=frigate:latest-rocm \
 		--load
 
 build-rocm: version
-	$(foreach chipset,$(ROCM_CHIPSETS), \
-		AMDGPU=$(word 1,$(subst :, ,$(chipset))) \
-		HSA_OVERRIDE_GFX_VERSION=$(word 2,$(subst :, ,$(chipset))) \
-		HSA_OVERRIDE=1 \
-		docker buildx bake --file=docker/rocm/rocm.hcl rocm \
-			--set rocm.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-rocm-$(chipset) \
-	&&) true
-
-	unset HSA_OVERRIDE_GFX_VERSION && \
-	HSA_OVERRIDE=0 \
-	AMDGPU=gfx \
 	docker buildx bake --file=docker/rocm/rocm.hcl rocm \
 		--set rocm.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-rocm
 
 push-rocm: build-rocm
-	$(foreach chipset,$(ROCM_CHIPSETS), \
-		AMDGPU=$(word 1,$(subst :, ,$(chipset))) \
-		HSA_OVERRIDE_GFX_VERSION=$(word 2,$(subst :, ,$(chipset))) \
-		HSA_OVERRIDE=1 \
-		docker buildx bake --file=docker/rocm/rocm.hcl rocm \
-			--set rocm.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-rocm-$(chipset) \
-			--push \
-	&&) true
-
-	unset HSA_OVERRIDE_GFX_VERSION && \
-	HSA_OVERRIDE=0 \
-	AMDGPU=gfx \
 	docker buildx bake --file=docker/rocm/rocm.hcl rocm \
 		--set rocm.tags=$(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-rocm \
 		--push
diff --git a/docker/tensorrt/Dockerfile.amd64 b/docker/tensorrt/Dockerfile.amd64
index ef0295a96..cdf5df9ff 100644
--- a/docker/tensorrt/Dockerfile.amd64
+++ b/docker/tensorrt/Dockerfile.amd64
@@ -21,7 +21,7 @@ FROM deps AS frigate-tensorrt
 ARG PIP_BREAK_SYSTEM_PACKAGES
 
 RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
-    pip3 uninstall -y onnxruntime tensorflow-cpu \
+    pip3 uninstall -y onnxruntime \
     && pip3 install -U /deps/trt-wheels/*.whl
 
 COPY --from=rootfs / /
diff --git a/docker/tensorrt/Dockerfile.arm64 b/docker/tensorrt/Dockerfile.arm64
index 0ae9c38e9..dd3c5de5e 100644
--- a/docker/tensorrt/Dockerfile.arm64
+++ b/docker/tensorrt/Dockerfile.arm64
@@ -112,7 +112,7 @@ RUN apt-get update \
     && apt-get install -y protobuf-compiler libprotobuf-dev \
     && rm -rf /var/lib/apt/lists/*
 RUN --mount=type=bind,source=docker/tensorrt/requirements-models-arm64.txt,target=/requirements-tensorrt-models.txt \
-    pip3 wheel --wheel-dir=/trt-model-wheels -r /requirements-tensorrt-models.txt
+    pip3 wheel --wheel-dir=/trt-model-wheels --no-deps -r /requirements-tensorrt-models.txt
 
 FROM wget AS jetson-ffmpeg
 ARG DEBIAN_FRONTEND
@@ -145,7 +145,8 @@ COPY --from=trt-wheels /etc/TENSORRT_VER /etc/TENSORRT_VER
 RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
     --mount=type=bind,from=trt-model-wheels,source=/trt-model-wheels,target=/deps/trt-model-wheels \
     pip3 uninstall -y onnxruntime \
-    && pip3 install -U /deps/trt-wheels/*.whl /deps/trt-model-wheels/*.whl \
+    && pip3 install -U /deps/trt-wheels/*.whl \
+    && pip3 install -U /deps/trt-model-wheels/*.whl \
     && ldconfig
 
 WORKDIR /opt/frigate/
diff --git a/docker/tensorrt/requirements-amd64.txt b/docker/tensorrt/requirements-amd64.txt
index a7853aeec..63c68b583 100644
--- a/docker/tensorrt/requirements-amd64.txt
+++ b/docker/tensorrt/requirements-amd64.txt
@@ -13,7 +13,6 @@ nvidia_cusolver_cu12==11.6.3.*; platform_machine == 'x86_64'
 nvidia_cusparse_cu12==12.5.1.*; platform_machine == 'x86_64'
 nvidia_nccl_cu12==2.23.4; platform_machine == 'x86_64'
 nvidia_nvjitlink_cu12==12.5.82; platform_machine == 'x86_64'
-tensorflow==2.19.*; platform_machine == 'x86_64'
 onnx==1.16.*; platform_machine == 'x86_64'
 onnxruntime-gpu==1.22.*; platform_machine == 'x86_64'
 protobuf==3.20.3; platform_machine == 'x86_64'
diff --git a/docker/tensorrt/requirements-arm64.txt b/docker/tensorrt/requirements-arm64.txt
index c9b618180..78d659746 100644
--- a/docker/tensorrt/requirements-arm64.txt
+++ b/docker/tensorrt/requirements-arm64.txt
@@ -1 +1,2 @@
 cuda-python == 12.6.*; platform_machine == 'aarch64'
+numpy == 1.26.*; platform_machine == 'aarch64'
diff --git a/docs/docs/configuration/advanced.md b/docs/docs/configuration/advanced.md
index 02482e792..17eb2053d 100644
--- a/docs/docs/configuration/advanced.md
+++ b/docs/docs/configuration/advanced.md
@@ -25,7 +25,7 @@ Examples of available modules are:
 
 - `frigate.app`
 - `frigate.mqtt`
-- `frigate.object_detection`
+- `frigate.object_detection.base`
 - `detector.<detector_name>`
 - `watchdog.<camera_name>`
 - `ffmpeg.<camera_name>.<sorted_roles>` NOTE: All FFmpeg logs are sent as `error` level.
@@ -53,6 +53,17 @@ environment_vars:
   VARIABLE_NAME: variable_value
 ```
 
+#### TensorFlow Thread Configuration
+
+If you encounter thread creation errors during classification model training, you can limit TensorFlow's thread usage:
+
+```yaml
+environment_vars:
+  TF_INTRA_OP_PARALLELISM_THREADS: "2" # Threads within operations (0 = use default)
+  TF_INTER_OP_PARALLELISM_THREADS: "2" # Threads between operations (0 = use default)
+  TF_DATASET_THREAD_POOL_SIZE: "2" # Data pipeline threads (0 = use default)
+```
+
 ### `database`
 
 Tracked object and recording information is managed in a sqlite database at `/config/frigate.db`. If that database is deleted, recordings will be orphaned and will need to be cleaned up manually. They also won't show up in the Media Browser within Home Assistant.
@@ -247,7 +258,7 @@ curl -X POST http://frigate_host:5000/api/config/save -d @config.json
 if you'd like you can use your yaml config directly by using [`yq`](https://github.com/mikefarah/yq) to convert it to json:
 
 ```bash
-yq r -j config.yml | curl -X POST http://frigate_host:5000/api/config/save -d @-
+yq -o=json '.' config.yaml | curl -X POST 'http://frigate_host:5000/api/config/save?save_option=saveonly' --data-binary @-
 ```
 
 ### Via Command Line
diff --git a/docs/docs/configuration/audio_detectors.md b/docs/docs/configuration/audio_detectors.md
index bf71f8d81..957667914 100644
--- a/docs/docs/configuration/audio_detectors.md
+++ b/docs/docs/configuration/audio_detectors.md
@@ -50,7 +50,7 @@ cameras:
 
 ### Configuring Minimum Volume
 
-The audio detector uses volume levels in the same way that motion in a camera feed is used for object detection. This means that frigate will not run audio detection unless the audio volume is above the configured level in order to reduce resource usage. Audio levels can vary widely between camera models so it is important to run tests to see what volume levels are. The Debug view in the Frigate UI has an Audio tab for cameras that have the `audio` role assigned where a graph and the current levels are is displayed. The `min_volume` parameter should be set to the minimum the `RMS` level required to run audio detection.
+The audio detector uses volume levels in the same way that motion in a camera feed is used for object detection. This means that Frigate will not run audio detection unless the audio volume is above the configured level in order to reduce resource usage. Audio levels can vary widely between camera models so it is important to run tests to see what volume levels are. The Debug view in the Frigate UI has an Audio tab for cameras that have the `audio` role assigned where a graph and the current levels are is displayed. The `min_volume` parameter should be set to the minimum the `RMS` level required to run audio detection.
 
 :::tip
 
@@ -75,7 +75,13 @@ audio:
 
 ### Audio Transcription
 
-Frigate supports fully local audio transcription using either `sherpa-onnx` or OpenAI’s open-source Whisper models via `faster-whisper`. To enable transcription, enable it in your config. Note that audio detection must also be enabled as described above in order to use audio transcription features.
+Frigate supports fully local audio transcription using either `sherpa-onnx` or OpenAI’s open-source Whisper models via `faster-whisper`. The goal of this feature is to support Semantic Search for `speech` audio events. Frigate is not intended to act as a continuous, fully-automatic speech transcription service — automatically transcribing all speech (or queuing many audio events for transcription) requires substantial CPU (or GPU) resources and is impractical on most systems. For this reason, transcriptions for events are initiated manually from the UI or the API rather than being run continuously in the background.
+
+Transcription accuracy also depends heavily on the quality of your camera's microphone and recording conditions. Many cameras use inexpensive microphones, and distance to the speaker, low audio bitrate, or background noise can significantly reduce transcription quality. If you need higher accuracy, more robust long-running queues, or large-scale automatic transcription, consider using the HTTP API in combination with an automation platform and a cloud transcription service.
+
+#### Configuration
+
+To enable transcription, enable it in your config. Note that audio detection must also be enabled as described above in order to use audio transcription features.
 
 ```yaml
 audio_transcription:
@@ -144,4 +150,28 @@ In order to use transcription and translation for past events, you must enable a
 
 The transcribed/translated speech will appear in the description box in the Tracked Object Details pane. If Semantic Search is enabled, embeddings are generated for the transcription text and are fully searchable using the description search type.
 
-Recorded `speech` events will always use a `whisper` model, regardless of the `model_size` config setting. Without a GPU, generating transcriptions for longer `speech` events may take a fair amount of time, so be patient.
+:::note
+
+Only one `speech` event may be transcribed at a time. Frigate does not automatically transcribe `speech` events or implement a queue for long-running transcription model inference.
+
+:::
+
+Recorded `speech` events will always use a `whisper` model, regardless of the `model_size` config setting. Without a supported Nvidia GPU, generating transcriptions for longer `speech` events may take a fair amount of time, so be patient.
+
+#### FAQ
+
+1. Why doesn't Frigate automatically transcribe all `speech` events?
+
+   Frigate does not implement a queue mechanism for speech transcription, and adding one is not trivial. A proper queue would need backpressure, prioritization, memory/disk buffering, retry logic, crash recovery, and safeguards to prevent unbounded growth when events outpace processing. That’s a significant amount of complexity for a feature that, in most real-world environments, would mostly just churn through low-value noise.
+
+   Because transcription is **serialized (one event at a time)** and speech events can be generated far faster than they can be processed, an auto-transcribe toggle would very quickly create an ever-growing backlog and degrade core functionality. For the amount of engineering and risk involved, it adds **very little practical value** for the majority of deployments, which are often on low-powered, edge hardware.
+
+   If you hear speech that’s actually important and worth saving/indexing for the future, **just press the transcribe button in Explore** on that specific `speech` event - that keeps things explicit, reliable, and under your control.
+
+   Other options are being considered for future versions of Frigate to add transcription options that support external `whisper` Docker containers. A single transcription service could then be shared by Frigate and other applications (for example, Home Assistant Voice), and run on more powerful machines when available.
+
+2. Why don't you save live transcription text and use that for `speech` events?
+
+   There’s no guarantee that a `speech` event is even created from the exact audio that went through the transcription model. Live transcription and `speech` event creation are **separate, asynchronous processes**. Even when both are correctly configured, trying to align the **precise start and end time of a speech event** with whatever audio the model happened to be processing at that moment is unreliable.
+
+   Automatically persisting that data would often result in **misaligned, partial, or irrelevant transcripts**, while still incurring all of the CPU, storage, and privacy costs of transcription. That’s why Frigate treats transcription as an **explicit, user-initiated action** rather than an automatic side-effect of every `speech` event.
diff --git a/docs/docs/configuration/authentication.md b/docs/docs/configuration/authentication.md
index 1d1581b2c..17718c405 100644
--- a/docs/docs/configuration/authentication.md
+++ b/docs/docs/configuration/authentication.md
@@ -270,3 +270,42 @@ To use role-based access control, you must connect to Frigate via the **authenti
 1. Log in as an **admin** user via port `8971`.
 2. Navigate to **Settings > Users**.
 3. Edit a user’s role by selecting **admin** or **viewer**.
+
+## API Authentication Guide
+
+### Getting a Bearer Token
+
+To use the Frigate API, you need to authenticate first. Follow these steps to obtain a Bearer token:
+
+#### 1. Login
+
+Make a POST request to `/login` with your credentials:
+
+```bash
+curl -i -X POST https://frigate_ip:8971/api/login \
+  -H "Content-Type: application/json" \
+  -d '{"user": "admin", "password": "your_password"}'
+```
+
+:::note
+
+You may need to include `-k` in the argument list in these steps (eg: `curl -k -i -X POST ...`) if your Frigate instance is using a self-signed certificate.
+
+:::
+
+The response will contain a cookie with the JWT token.
+
+#### 2. Using the Bearer Token
+
+Once you have the token, include it in the Authorization header for subsequent requests:
+
+```bash
+curl -H "Authorization: Bearer <your_token>" https://frigate_ip:8971/api/profile
+```
+
+#### 3. Token Lifecycle
+
+- Tokens are valid for the configured session length
+- Tokens are automatically refreshed when you visit the `/auth` endpoint
+- Tokens are invalidated when the user's password is changed
+- Use `/logout` to clear your session cookie
diff --git a/docs/docs/configuration/autotracking.md b/docs/docs/configuration/autotracking.md
index c053ef369..86179a264 100644
--- a/docs/docs/configuration/autotracking.md
+++ b/docs/docs/configuration/autotracking.md
@@ -21,7 +21,7 @@ Frigate autotracking functions with PTZ cameras capable of relative movement wit
 
 Many cheaper or older PTZs may not support this standard. Frigate will report an error message in the log and disable autotracking if your PTZ is unsupported.
 
-Alternatively, you can download and run [this simple Python script](https://gist.github.com/hawkeye217/152a1d4ba80760dac95d46e143d37112), replacing the details on line 4 with your camera's IP address, ONVIF port, username, and password to check your camera.
+The FeatureList on the [ONVIF Conformant Products Database](https://www.onvif.org/conformant-products/) can provide a starting point to determine a camera's compatibility with Frigate's autotracking. Look to see if a camera lists `PTZRelative`, `PTZRelativePanTilt` and/or `PTZRelativeZoom`. These features are required for autotracking, but some cameras still fail to respond even if they claim support.
 
 A growing list of cameras and brands that have been reported by users to work with Frigate's autotracking can be found [here](cameras.md).
 
diff --git a/docs/docs/configuration/camera_specific.md b/docs/docs/configuration/camera_specific.md
index b7a817ff8..50d5c52aa 100644
--- a/docs/docs/configuration/camera_specific.md
+++ b/docs/docs/configuration/camera_specific.md
@@ -164,13 +164,35 @@ According to [this discussion](https://github.com/blakeblackshear/frigate/issues
 Cameras connected via a Reolink NVR can be connected with the http stream, use `channel[0..15]` in the stream url for the additional channels.
 The setup of main stream can be also done via RTSP, but isn't always reliable on all hardware versions. The example configuration is working with the oldest HW version RLN16-410 device with multiple types of cameras.
 
+<details>
+  <summary>Example Config</summary>
+
+:::tip
+
+Reolink's latest cameras support two way audio via go2rtc and other applications. It is important that the http-flv stream is still used for stability, a secondary rtsp stream can be added that will be using for the two way audio only.
+
+NOTE: The RTSP stream can not be prefixed with `ffmpeg:`, as go2rtc needs to handle the stream to support two way audio.
+
+Ensure HTTP is enabled in the camera's advanced network settings. To use two way talk with Frigate, see the [Live view documentation](/configuration/live#two-way-talk).
+
+:::
+
 ```yaml
 go2rtc:
   streams:
+    # example for connecting to a standard Reolink camera
     your_reolink_camera:
       - "ffmpeg:http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=username&password=password#video=copy#audio=copy#audio=opus"
     your_reolink_camera_sub:
       - "ffmpeg:http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=username&password=password"
+    # example for connectin to a Reolink camera that supports two way talk
+    your_reolink_camera_twt:
+      - "ffmpeg:http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=username&password=password#video=copy#audio=copy#audio=opus"
+      - "rtsp://username:password@reolink_ip/Preview_01_sub"
+    your_reolink_camera_twt_sub:
+      - "ffmpeg:http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=username&password=password"
+      - "rtsp://username:password@reolink_ip/Preview_01_sub"
+    # example for connecting to a Reolink NVR
     your_reolink_camera_via_nvr:
       - "ffmpeg:http://reolink_nvr_ip/flv?port=1935&app=bcs&stream=channel3_main.bcs&user=username&password=password" # channel numbers are 0-15
       - "ffmpeg:your_reolink_camera_via_nvr#audio=aac"
@@ -201,25 +223,16 @@ cameras:
           roles:
             - detect
 ```
-
-#### Reolink Doorbell
-
-The reolink doorbell supports two way audio via go2rtc and other applications. It is important that the http-flv stream is still used for stability, a secondary rtsp stream can be added that will be using for the two way audio only.
-
-Ensure HTTP is enabled in the camera's advanced network settings. To use two way talk with Frigate, see the [Live view documentation](/configuration/live#two-way-talk).
-
-```yaml
-go2rtc:
-  streams:
-    your_reolink_doorbell:
-      - "ffmpeg:http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=username&password=password#video=copy#audio=copy#audio=opus"
-      - rtsp://reolink_ip/Preview_01_sub
-    your_reolink_doorbell_sub:
-      - "ffmpeg:http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=username&password=password"
-```
+</details>
 
 ### Unifi Protect Cameras
 
+:::note 
+
+Unifi G5s cameras and newer need a Unifi Protect server to enable rtsps stream, it's not posible to enable it in standalone mode.
+
+:::
+
 Unifi protect cameras require the rtspx stream to be used with go2rtc.
 To utilize a Unifi protect camera, modify the rtsps link to begin with rtspx.
 Additionally, remove the "?enableSrtp" from the end of the Unifi link.
@@ -245,6 +258,10 @@ ffmpeg:
 
 TP-Link VIGI cameras need some adjustments to the main stream settings on the camera itself to avoid issues. The stream needs to be configured as `H264` with `Smart Coding` set to `off`. Without these settings you may have problems when trying to watch recorded footage. For example Firefox will stop playback after a few seconds and show the following error message: `The media playback was aborted due to a corruption problem or because the media used features your browser did not support.`.
 
+### Wyze Wireless Cameras
+
+Some community members have found better performance on Wyze cameras by using an alternative firmware known as [Thingino](https://thingino.com/).
+
 ## USB Cameras (aka Webcams)
 
 To use a USB camera (webcam) with Frigate, the recommendation is to use go2rtc's [FFmpeg Device](https://github.com/AlexxIT/go2rtc?tab=readme-ov-file#source-ffmpeg-device) support:
diff --git a/docs/docs/configuration/cameras.md b/docs/docs/configuration/cameras.md
index 57b3be1d4..47efa5bba 100644
--- a/docs/docs/configuration/cameras.md
+++ b/docs/docs/configuration/cameras.md
@@ -79,6 +79,12 @@ cameras:
 
 If the ONVIF connection is successful, PTZ controls will be available in the camera's WebUI.
 
+:::note
+
+Some cameras use a separate ONVIF/service account that is distinct from the device administrator credentials. If ONVIF authentication fails with the admin account, try creating or using an ONVIF/service user in the camera's firmware. Refer to your camera manufacturer's documentation for more.
+
+:::
+
 :::tip
 
 If your ONVIF camera does not require authentication credentials, you may still need to specify an empty string for `user` and `password`, eg: `user: ""` and `password: ""`.
@@ -91,33 +97,34 @@ An ONVIF-capable camera that supports relative movement within the field of view
 
 This list of working and non-working PTZ cameras is based on user feedback. If you'd like to report specific quirks or issues with a manufacturer or camera that would be helpful for other users, open a pull request to add to this list.
 
-The FeatureList on the [ONVIF Conformant Products Database](https://www.onvif.org/conformant-products/) can provide a starting point to determine a camera's compatibility with Frigate's autotracking. Look to see if a camera lists `PTZRelative`, `PTZRelativePanTilt` and/or `PTZRelativeZoom`, plus `PTZAuxiliary`. These features are required for autotracking, but some cameras still fail to respond even if they claim support. If they are missing, autotracking will not work (though basic PTZ in the WebUI might). Avoid cameras with no database entry unless they are confirmed as working below.
+The FeatureList on the [ONVIF Conformant Products Database](https://www.onvif.org/conformant-products/) can provide a starting point to determine a camera's compatibility with Frigate's autotracking. Look to see if a camera lists `PTZRelative`, `PTZRelativePanTilt` and/or `PTZRelativeZoom`. These features are required for autotracking, but some cameras still fail to respond even if they claim support. If they are missing, autotracking will not work (though basic PTZ in the WebUI might). Avoid cameras with no database entry unless they are confirmed as working below.
 
-| Brand or specific camera     | PTZ Controls | Autotracking | Notes                                                                                                                                           |
-| ---------------------------- | :----------: | :----------: | ----------------------------------------------------------------------------------------------------------------------------------------------- |
-| Amcrest                      |      ✅      |      ✅      | ⛔️ Generally, Amcrest should work, but some older models (like the common IP2M-841) don't support autotracking                                 |
-| Amcrest ASH21                |      ✅      |      ❌      | ONVIF service port: 80                                                                                                                          |
-| Amcrest IP4M-S2112EW-AI      |      ✅      |      ❌      | FOV relative movement not supported.                                                                                                            |
-| Amcrest IP5M-1190EW          |      ✅      |      ❌      | ONVIF Port: 80. FOV relative movement not supported.                                                                                            |
-| Annke CZ504                  |      ✅      |      ✅      | Annke support provide specific firmware ([V5.7.1 build 250227](https://github.com/pierrepinon/annke_cz504/raw/refs/heads/main/digicap_V5-7-1_build_250227.dav)) to fix issue with ONVIF "TranslationSpaceFov" |
-| Ctronics PTZ                 |      ✅      |      ❌      |                                                                                                                                                 |
-| Dahua                        |      ✅      |      ✅      | Some low-end Dahuas (lite series, picoo series (commonly), among others) have been reported to not support autotracking. These models usually don't have a four digit model number with chassis prefix and options postfix (e.g. DH-P5AE-PV vs DH-SD49825GB-HNR).          |
-| Dahua DH-SD2A500HB           |      ✅      |      ❌      |                                                                                                                                                 |
-| Dahua DH-SD49825GB-HNR       |      ✅      |      ✅      |                                                                                                                                                 |
-| Dahua DH-P5AE-PV             |      ❌      |      ❌      |                                                                                                                                                 |
-| Foscam                       |      ✅      |      ❌      | In general support PTZ, but not relative move. There are no official ONVIF certifications and tests available on the ONVIF Conformant Products Database  |                                                                                                                                  |
-| Foscam R5                    |      ✅      |      ❌      |                                                                                                                                                 |
-| Foscam SD4                   |      ✅      |      ❌      |                                                                                                                                                 |
-| Hanwha XNP-6550RH            |      ✅      |      ❌      |                                                                                                                                                 |
-| Hikvision                    |      ✅      |      ❌      | Incomplete ONVIF support (MoveStatus won't update even on latest firmware) - reported with HWP-N4215IH-DE and DS-2DE3304W-DE, but likely others |
-| Hikvision DS-2DE3A404IWG-E/W |      ✅      |      ✅      |                                                                                                                                                 |
-| Reolink                      |      ✅      |      ❌      |                                                                                                                                                 |
-| Speco O8P32X                 |      ✅      |      ❌      |                                                                                                                                                 |
-| Sunba 405-D20X               |      ✅      |      ❌      | Incomplete ONVIF support reported on original, and 4k models. All models are suspected incompatable.                                            |
-| Tapo                         |      ✅      |      ❌      | Many models supported, ONVIF Service Port: 2020                                                                                                 |
-| Uniview IPC672LR-AX4DUPK     |      ✅      |      ❌      | Firmware says FOV relative movement is supported, but camera doesn't actually move when sending ONVIF commands                                  |
-| Uniview IPC6612SR-X33-VG     |      ✅      |      ✅      | Leave `calibrate_on_startup` as `False`. A user has reported that zooming with `absolute` is working.                                           |
-| Vikylin PTZ-2804X-I2         |      ❌      |      ❌      | Incomplete ONVIF support                                                                                                                        |
+| Brand or specific camera     | PTZ Controls | Autotracking | Notes                                                                                                                                                                                                                                                             |
+| ---------------------------- | :----------: | :----------: | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| Amcrest                      |      ✅      |      ✅      | ⛔️ Generally, Amcrest should work, but some older models (like the common IP2M-841) don't support autotracking                                                                                                                                                    |
+| Amcrest ASH21                |      ✅      |      ❌      | ONVIF service port: 80                                                                                                                                                                                                                                            |
+| Amcrest IP4M-S2112EW-AI      |      ✅      |      ❌      | FOV relative movement not supported.                                                                                                                                                                                                                              |
+| Amcrest IP5M-1190EW          |      ✅      |      ❌      | ONVIF Port: 80. FOV relative movement not supported.                                                                                                                                                                                                              |
+| Annke CZ504                  |      ✅      |      ✅      | Annke support provide specific firmware ([V5.7.1 build 250227](https://github.com/pierrepinon/annke_cz504/raw/refs/heads/main/digicap_V5-7-1_build_250227.dav)) to fix issue with ONVIF "TranslationSpaceFov"                                                     |
+| Axis Q-6155E                 |      ✅      |      ❌      | ONVIF service port: 80; Camera does not support MoveStatus.                                                                                                                                                                                                       |
+| Ctronics PTZ                 |      ✅      |      ❌      |                                                                                                                                                                                                                                                                   |
+| Dahua                        |      ✅      |      ✅      | Some low-end Dahuas (lite series, picoo series (commonly), among others) have been reported to not support autotracking. These models usually don't have a four digit model number with chassis prefix and options postfix (e.g. DH-P5AE-PV vs DH-SD49825GB-HNR). |
+| Dahua DH-SD2A500HB           |      ✅      |      ❌      |                                                                                                                                                                                                                                                                   |
+| Dahua DH-SD49825GB-HNR       |      ✅      |      ✅      |                                                                                                                                                                                                                                                                   |
+| Dahua DH-P5AE-PV             |      ❌      |      ❌      |                                                                                                                                                                                                                                                                   |
+| Foscam                       |      ✅      |      ❌      | In general support PTZ, but not relative move. There are no official ONVIF certifications and tests available on the ONVIF Conformant Products Database                                                                                                           |
+| Foscam R5                    |      ✅      |      ❌      |                                                                                                                                                                                                                                                                   |
+| Foscam SD4                   |      ✅      |      ❌      |                                                                                                                                                                                                                                                                   |
+| Hanwha XNP-6550RH            |      ✅      |      ❌      |                                                                                                                                                                                                                                                                   |
+| Hikvision                    |      ✅      |      ❌      | Incomplete ONVIF support (MoveStatus won't update even on latest firmware) - reported with HWP-N4215IH-DE and DS-2DE3304W-DE, but likely others                                                                                                                   |
+| Hikvision DS-2DE3A404IWG-E/W |      ✅      |      ✅      |                                                                                                                                                                                                                                                                   |
+| Reolink                      |      ✅      |      ❌      |                                                                                                                                                                                                                                                                   |
+| Speco O8P32X                 |      ✅      |      ❌      |                                                                                                                                                                                                                                                                   |
+| Sunba 405-D20X               |      ✅      |      ❌      | Incomplete ONVIF support reported on original, and 4k models. All models are suspected incompatable.                                                                                                                                                              |
+| Tapo                         |      ✅      |      ❌      | Many models supported, ONVIF Service Port: 2020                                                                                                                                                                                                                   |
+| Uniview IPC672LR-AX4DUPK     |      ✅      |      ❌      | Firmware says FOV relative movement is supported, but camera doesn't actually move when sending ONVIF commands                                                                                                                                                    |
+| Uniview IPC6612SR-X33-VG     |      ✅      |      ✅      | Leave `calibrate_on_startup` as `False`. A user has reported that zooming with `absolute` is working.                                                                                                                                                             |
+| Vikylin PTZ-2804X-I2         |      ❌      |      ❌      | Incomplete ONVIF support                                                                                                                                                                                                                                          |
 
 ## Setting up camera groups
 
@@ -140,4 +147,5 @@ camera_groups:
 ```
 
 ## Two-Way Audio
+
 See the guide [here](/configuration/live/#two-way-talk)
diff --git a/docs/docs/configuration/custom_classification/object_classification.md b/docs/docs/configuration/custom_classification/object_classification.md
index a75aae31a..ac0b9387a 100644
--- a/docs/docs/configuration/custom_classification/object_classification.md
+++ b/docs/docs/configuration/custom_classification/object_classification.md
@@ -3,16 +3,28 @@ id: object_classification
 title: Object Classification
 ---
 
-Object classification allows you to train a custom MobileNetV2 classification model to run on tracked objects (persons, cars, animals, etc.) to identify a finer category or attribute for that object.
+Object classification allows you to train a custom MobileNetV2 classification model to run on tracked objects (persons, cars, animals, etc.) to identify a finer category or attribute for that object. Classification results are visible in the Tracked Object Details pane in Explore, through the `frigate/tracked_object_details` MQTT topic, in Home Assistant sensors via the official Frigate integration, or through the event endpoints in the HTTP API.
 
 ## Minimum System Requirements
 
 Object classification models are lightweight and run very fast on CPU. Inference should be usable on virtually any machine that can run Frigate.
 
 Training the model does briefly use a high amount of system resources for about 1–3 minutes per training run. On lower-power devices, training may take longer.
-When running the `-tensorrt` image, Nvidia GPUs will automatically be used to accelerate training.
 
-### Sub label vs Attribute
+A CPU with AVX instructions is required for training and inference.
+
+## Classes
+
+Classes are the categories your model will learn to distinguish between. Each class represents a distinct visual category that the model will predict.
+
+For object classification:
+
+- Define classes that represent different types or attributes of the detected object
+- Examples: For `person` objects, classes might be `delivery_person`, `resident`, `stranger`
+- Include a `none` class for objects that don't fit any specific category
+- Keep classes visually distinct to improve accuracy
+
+### Classification Type
 
 - **Sub label**:
 
@@ -21,9 +33,24 @@ When running the `-tensorrt` image, Nvidia GPUs will automatically be used to ac
   - Example: `cat` → `Leo`, `Charlie`, `None`.
 
 - **Attribute**:
-  - Added as metadata to the object (visible in /events): `<model_name>: <predicted_value>`.
+  - Added as metadata to the object, visible in the Tracked Object Details pane in Explore, `frigate/events` MQTT messages, and the HTTP API response as `<model_name>: <predicted_value>`.
   - Ideal when multiple attributes can coexist independently.
-  - Example: Detecting if a `person` in a construction yard is wearing a helmet or not.
+  - Example: Detecting if a `person` in a construction yard is wearing a helmet or not, and if they are wearing a yellow vest or not.
+
+:::note
+
+A tracked object can only have a single sub label. If you are using Triggers or Face Recognition and you configure an object classification model for `person` using the sub label type, your sub label may not be assigned correctly as it depends on which enrichment completes its analysis first. This could also occur with `car` objects that are assigned a sub label for a delivery carrier. Consider using the `attribute` type instead.
+
+:::
+
+## Assignment Requirements
+
+Sub labels and attributes are only assigned when both conditions are met:
+
+1. **Threshold**: Each classification attempt must have a confidence score that meets or exceeds the configured `threshold` (default: `0.8`).
+2. **Class Consensus**: After at least 3 classification attempts, 60% of attempts must agree on the same class label. If the consensus class is `none`, no assignment is made.
+
+This two-step verification prevents false positives by requiring consistent predictions across multiple frames before assigning a sub label or attribute.
 
 ## Example use cases
 
@@ -54,20 +81,50 @@ classification:
         classification_type: sub_label # or: attribute
 ```
 
+An optional config, `save_attempts`, can be set as a key under the model name. This defines the number of classification attempts to save in the Recent Classifications tab. For object classification models, the default is 200.
+
 ## Training the model
 
-Creating and training the model is done within the Frigate UI using the `Classification` page.
+Creating and training the model is done within the Frigate UI using the `Classification` page. The process consists of two steps:
 
-### Getting Started
+### Step 1: Name and Define
+
+Enter a name for your model, select the object label to classify (e.g., `person`, `dog`, `car`), choose the classification type (sub label or attribute), and define your classes. Frigate will automatically include a `none` class for objects that don't fit any specific category.
+
+For example: To classify your two cats, create a model named "Our Cats" and create two classes, "Charlie" and "Leo". A third class, "none", will be created automatically for other neighborhood cats that are not your own.
+
+### Step 2: Assign Training Examples
+
+The system will automatically generate example images from detected objects matching your selected label. You'll be guided through each class one at a time to select which images represent that class. Any images not assigned to a specific class will automatically be assigned to `none` when you complete the last class. Once all images are processed, training will begin automatically.
 
 When choosing which objects to classify, start with a small number of visually distinct classes and ensure your training samples match camera viewpoints and distances typical for those objects.
 
-// TODO add this section once UI is implemented. Explain process of selecting objects and curating training examples.
+If examples for some of your classes do not appear in the grid, you can continue configuring the model without them. New images will begin to appear in the Recent Classifications view. When your missing classes are seen, classify them from this view and retrain your model.
 
 ### Improving the Model
 
 - **Problem framing**: Keep classes visually distinct and relevant to the chosen object types.
-- **Data collection**: Use the model’s Train tab to gather balanced examples across times of day, weather, and distances.
+- **Data collection**: Use the model’s Recent Classification tab to gather balanced examples across times of day, weather, and distances.
 - **Preprocessing**: Ensure examples reflect object crops similar to Frigate’s boxes; keep the subject centered.
 - **Labels**: Keep label names short and consistent; include a `none` class if you plan to ignore uncertain predictions for sub labels.
 - **Threshold**: Tune `threshold` per model to reduce false assignments. Start at `0.8` and adjust based on validation.
+
+## Debugging Classification Models
+
+To troubleshoot issues with object classification models, enable debug logging to see detailed information about classification attempts, scores, and consensus calculations.
+
+Enable debug logs for classification models by adding `frigate.data_processing.real_time.custom_classification: debug` to your `logger` configuration. These logs are verbose, so only keep this enabled when necessary. Restart Frigate after this change.
+
+```yaml
+logger:
+  default: info
+  logs:
+    frigate.data_processing.real_time.custom_classification: debug
+```
+
+The debug logs will show:
+
+- Classification probabilities for each attempt
+- Whether scores meet the threshold requirement
+- Consensus calculations and when assignments are made
+- Object classification history and weighted scores
diff --git a/docs/docs/configuration/custom_classification/state_classification.md b/docs/docs/configuration/custom_classification/state_classification.md
index ec38ea696..1ffdf9011 100644
--- a/docs/docs/configuration/custom_classification/state_classification.md
+++ b/docs/docs/configuration/custom_classification/state_classification.md
@@ -3,14 +3,26 @@ id: state_classification
 title: State Classification
 ---
 
-State classification allows you to train a custom MobileNetV2 classification model on a fixed region of your camera frame(s) to determine a current state. The model can be configured to run on a schedule and/or when motion is detected in that region.
+State classification allows you to train a custom MobileNetV2 classification model on a fixed region of your camera frame(s) to determine a current state. The model can be configured to run on a schedule and/or when motion is detected in that region. Classification results are available through the `frigate/<camera_name>/classification/<model_name>` MQTT topic and in Home Assistant sensors via the official Frigate integration.
 
 ## Minimum System Requirements
 
 State classification models are lightweight and run very fast on CPU. Inference should be usable on virtually any machine that can run Frigate.
 
 Training the model does briefly use a high amount of system resources for about 1–3 minutes per training run. On lower-power devices, training may take longer.
-When running the `-tensorrt` image, Nvidia GPUs will automatically be used to accelerate training.
+
+A CPU with AVX instructions is required for training and inference.
+
+## Classes
+
+Classes are the different states an area on your camera can be in. Each class represents a distinct visual state that the model will learn to recognize.
+
+For state classification:
+
+- Define classes that represent mutually exclusive states
+- Examples: `open` and `closed` for a garage door, `on` and `off` for lights
+- Use at least 2 classes (typically binary states work best)
+- Keep class names clear and descriptive
 
 ## Example use cases
 
@@ -36,17 +48,60 @@ classification:
             crop: [0, 180, 220, 400]
 ```
 
+An optional config, `save_attempts`, can be set as a key under the model name. This defines the number of classification attempts to save in the Recent Classifications tab. For state classification models, the default is 100.
+
 ## Training the model
 
-Creating and training the model is done within the Frigate UI using the `Classification` page.
+Creating and training the model is done within the Frigate UI using the `Classification` page. The process consists of three steps:
 
-### Getting Started
+### Step 1: Name and Define
 
-When choosing a portion of the camera frame for state classification, it is important to make the crop tight around the area of interest to avoid extra signals unrelated to what is being classified.
+Enter a name for your model and define at least 2 classes (states) that represent mutually exclusive states. For example, `open` and `closed` for a door, or `on` and `off` for lights.
 
-// TODO add this section once UI is implemented. Explain process of selecting a crop.
+### Step 2: Select the Crop Area
+
+Choose one or more cameras and draw a rectangle over the area of interest for each camera. The crop should be tight around the region you want to classify to avoid extra signals unrelated to what is being classified. You can drag and resize the rectangle to adjust the crop area.
+
+### Step 3: Assign Training Examples
+
+The system will automatically generate example images from your camera feeds. You'll be guided through each class one at a time to select which images represent that state. It's not strictly required to select all images you see. If a state is missing from the samples, you can train it from the Recent tab later.
+
+Once some images are assigned, training will begin automatically.
 
 ### Improving the Model
 
 - **Problem framing**: Keep classes visually distinct and state-focused (e.g., `open`, `closed`, `unknown`). Avoid combining object identity with state in a single model unless necessary.
-- **Data collection**: Use the model’s Train tab to gather balanced examples across times of day and weather.
+- **Data collection**: Use the model's Recent Classifications tab to gather balanced examples across times of day and weather.
+- **When to train**: Focus on cases where the model is entirely incorrect or flips between states when it should not. There's no need to train additional images when the model is already working consistently.
+- **Selecting training images**: Images scoring below 100% due to new conditions (e.g., first snow of the year, seasonal changes) or variations (e.g., objects temporarily in view, insects at night) are good candidates for training, as they represent scenarios different from the default state. Training these lower-scoring images that differ from existing training data helps prevent overfitting. Avoid training large quantities of images that look very similar, especially if they already score 100% as this can lead to overfitting.
+
+## Debugging Classification Models
+
+To troubleshoot issues with state classification models, enable debug logging to see detailed information about classification attempts, scores, and state verification.
+
+Enable debug logs for classification models by adding `frigate.data_processing.real_time.custom_classification: debug` to your `logger` configuration. These logs are verbose, so only keep this enabled when necessary. Restart Frigate after this change.
+
+```yaml
+logger:
+  default: info
+  logs:
+    frigate.data_processing.real_time.custom_classification: debug
+```
+
+The debug logs will show:
+
+- Classification probabilities for each attempt
+- Whether scores meet the threshold requirement
+- State verification progress (consecutive detections needed)
+- When state changes are published
+
+### Recent Classifications
+
+For state classification, images are only added to recent classifications under specific circumstances:
+
+- **First detection**: The first classification attempt for a camera is always saved
+- **State changes**: Images are saved when the detected state differs from the current verified state
+- **Pending verification**: Images are saved when there's a pending state change being verified (requires 3 consecutive identical states)
+- **Low confidence**: Images with scores below 100% are saved even if the state matches the current state (useful for training)
+
+Images are **not** saved when the state is stable (detected state matches current state) **and** the score is 100%. This prevents unnecessary storage of redundant high-confidence classifications.
diff --git a/docs/docs/configuration/face_recognition.md b/docs/docs/configuration/face_recognition.md
index d14946eaf..713671a16 100644
--- a/docs/docs/configuration/face_recognition.md
+++ b/docs/docs/configuration/face_recognition.md
@@ -70,7 +70,7 @@ Fine-tune face recognition with these optional parameters at the global level of
 - `min_faces`: Min face recognitions for the sub label to be applied to the person object.
   - Default: `1`
 - `save_attempts`: Number of images of recognized faces to save for training.
-  - Default: `100`.
+  - Default: `200`.
 - `blur_confidence_filter`: Enables a filter that calculates how blurry the face is and adjusts the confidence based on this.
   - Default: `True`.
 - `device`: Target a specific device to run the face recognition model on (multi-GPU installation).
@@ -114,9 +114,9 @@ When choosing images to include in the face training set it is recommended to al
 
 :::
 
-### Understanding the Train Tab
+### Understanding the Recent Recognitions Tab
 
-The Train tab in the face library displays recent face recognition attempts. Detected face images are grouped according to the person they were identified as potentially matching.
+The Recent Recognitions tab in the face library displays recent face recognition attempts. Detected face images are grouped according to the person they were identified as potentially matching.
 
 Each face image is labeled with a name (or `Unknown`) along with the confidence score of the recognition attempt. While each image can be used to train the system for a specific person, not all images are suitable for training.
 
@@ -140,7 +140,7 @@ Once front-facing images are performing well, start choosing slightly off-angle
 
 Start with the [Usage](#usage) section and re-read the [Model Requirements](#model-requirements) above.
 
-1. Ensure `person` is being _detected_. A `person` will automatically be scanned by Frigate for a face. Any detected faces will appear in the Train tab in the Frigate UI's Face Library.
+1. Ensure `person` is being _detected_. A `person` will automatically be scanned by Frigate for a face. Any detected faces will appear in the Recent Recognitions tab in the Frigate UI's Face Library.
 
    If you are using a Frigate+ or `face` detecting model:
 
@@ -161,6 +161,8 @@ Start with the [Usage](#usage) section and re-read the [Model Requirements](#mod
 
 Accuracy is definitely a going to be improved with higher quality cameras / streams. It is important to look at the DORI (Detection Observation Recognition Identification) range of your camera, if that specification is posted. This specification explains the distance from the camera that a person can be detected, observed, recognized, and identified. The identification range is the most relevant here, and the distance listed by the camera is the furthest that face recognition will realistically work.
 
+Some users have also noted that setting the stream in camera firmware to a constant bit rate (CBR) leads to better image clarity than with a variable bit rate (VBR).
+
 ### Why can't I bulk upload photos?
 
 It is important to methodically add photos to the library, bulk importing photos (especially from a general photo library) will lead to over-fitting in that particular scenario and hurt recognition performance.
@@ -186,7 +188,7 @@ Avoid training on images that already score highly, as this can lead to over-fit
 No, face recognition does not support negative training (i.e., explicitly telling it who someone is _not_). Instead, the best approach is to improve the training data by using a more diverse and representative set of images for each person.
 For more guidance, refer to the section above on improving recognition accuracy.
 
-### I see scores above the threshold in the train tab, but a sub label wasn't assigned?
+### I see scores above the threshold in the Recent Recognitions tab, but a sub label wasn't assigned?
 
 The Frigate considers the recognition scores across all recognition attempts for each person object. The scores are continually weighted based on the area of the face, and a sub label will only be assigned to person if a person is confidently recognized consistently. This avoids cases where a single high confidence recognition would throw off the results.
 
diff --git a/docs/docs/configuration/genai.md b/docs/docs/configuration/genai.md
deleted file mode 100644
index 957922dbd..000000000
--- a/docs/docs/configuration/genai.md
+++ /dev/null
@@ -1,231 +0,0 @@
----
-id: genai
-title: Generative AI
----
-
-Generative AI can be used to automatically generate descriptive text based on the thumbnails of your tracked objects. This helps with [Semantic Search](/configuration/semantic_search) in Frigate to provide more context about your tracked objects. Descriptions are accessed via the _Explore_ view in the Frigate UI by clicking on a tracked object's thumbnail.
-
-Requests for a description are sent off automatically to your AI provider at the end of the tracked object's lifecycle, or can optionally be sent earlier after a number of significantly changed frames, for example in use in more real-time notifications. Descriptions can also be regenerated manually via the Frigate UI. Note that if you are manually entering a description for tracked objects prior to its end, this will be overwritten by the generated response.
-
-## Configuration
-
-Generative AI can be enabled for all cameras or only for specific cameras. If GenAI is disabled for a camera, you can still manually generate descriptions for events using the HTTP API. There are currently 3 native providers available to integrate with Frigate. Other providers that support the OpenAI standard API can also be used. See the OpenAI section below.
-
-To use Generative AI, you must define a single provider at the global level of your Frigate configuration. If the provider you choose requires an API key, you may either directly paste it in your configuration, or store it in an environment variable prefixed with `FRIGATE_`.
-
-```yaml
-genai:
-  provider: gemini
-  api_key: "{FRIGATE_GEMINI_API_KEY}"
-  model: gemini-1.5-flash
-
-cameras:
-  front_camera:
-    objects:
-    genai:
-        enabled: True # <- enable GenAI for your front camera
-        use_snapshot: True
-        objects:
-          - person
-        required_zones:
-          - steps
-  indoor_camera:
-    objects:
-      genai:
-        enabled: False # <- disable GenAI for your indoor camera
-```
-
-By default, descriptions will be generated for all tracked objects and all zones. But you can also optionally specify `objects` and `required_zones` to only generate descriptions for certain tracked objects or zones.
-
-Optionally, you can generate the description using a snapshot (if enabled) by setting `use_snapshot` to `True`. By default, this is set to `False`, which sends the uncompressed images from the `detect` stream collected over the object's lifetime to the model. Once the object lifecycle ends, only a single compressed and cropped thumbnail is saved with the tracked object. Using a snapshot might be useful when you want to _regenerate_ a tracked object's description as it will provide the AI with a higher-quality image (typically downscaled by the AI itself) than the cropped/compressed thumbnail. Using a snapshot otherwise has a trade-off in that only a single image is sent to your provider, which will limit the model's ability to determine object movement or direction.
-
-Generative AI can also be toggled dynamically for a camera via MQTT with the topic `frigate/<camera_name>/object_descriptions/set`. See the [MQTT documentation](/integrations/mqtt/#frigatecamera_nameobjectdescriptionsset).
-
-## Ollama
-
-:::warning
-
-Using Ollama on CPU is not recommended, high inference times make using Generative AI impractical.
-
-:::
-
-[Ollama](https://ollama.com/) allows you to self-host large language models and keep everything running locally. It provides a nice API over [llama.cpp](https://github.com/ggerganov/llama.cpp). It is highly recommended to host this server on a machine with an Nvidia graphics card, or on a Apple silicon Mac for best performance.
-
-Most of the 7b parameter 4-bit vision models will fit inside 8GB of VRAM. There is also a [Docker container](https://hub.docker.com/r/ollama/ollama) available.
-
-Parallel requests also come with some caveats. You will need to set `OLLAMA_NUM_PARALLEL=1` and choose a `OLLAMA_MAX_QUEUE` and `OLLAMA_MAX_LOADED_MODELS` values that are appropriate for your hardware and preferences. See the [Ollama documentation](https://github.com/ollama/ollama/blob/main/docs/faq.md#how-does-ollama-handle-concurrent-requests).
-
-### Supported Models
-
-You must use a vision capable model with Frigate. Current model variants can be found [in their model library](https://ollama.com/library). At the time of writing, this includes `llava`, `llava-llama3`, `llava-phi3`, and `moondream`. Note that Frigate will not automatically download the model you specify in your config, you must download the model to your local instance of Ollama first i.e. by running `ollama pull llava:7b` on your Ollama server/Docker container. Note that the model specified in Frigate's config must match the downloaded model tag.
-
-:::note
-
-You should have at least 8 GB of RAM available (or VRAM if running on GPU) to run the 7B models, 16 GB to run the 13B models, and 32 GB to run the 33B models.
-
-:::
-
-### Configuration
-
-```yaml
-genai:
-  provider: ollama
-  base_url: http://localhost:11434
-  model: llava:7b
-```
-
-## Google Gemini
-
-Google Gemini has a free tier allowing [15 queries per minute](https://ai.google.dev/pricing) to the API, which is more than sufficient for standard Frigate usage.
-
-### Supported Models
-
-You must use a vision capable model with Frigate. Current model variants can be found [in their documentation](https://ai.google.dev/gemini-api/docs/models/gemini). At the time of writing, this includes `gemini-1.5-pro` and `gemini-1.5-flash`.
-
-### Get API Key
-
-To start using Gemini, you must first get an API key from [Google AI Studio](https://aistudio.google.com).
-
-1. Accept the Terms of Service
-2. Click "Get API Key" from the right hand navigation
-3. Click "Create API key in new project"
-4. Copy the API key for use in your config
-
-### Configuration
-
-```yaml
-genai:
-  provider: gemini
-  api_key: "{FRIGATE_GEMINI_API_KEY}"
-  model: gemini-1.5-flash
-```
-
-:::note
-
-To use a different Gemini-compatible API endpoint, set the `GEMINI_BASE_URL` environment variable to your provider's API URL.
-
-:::
-
-## OpenAI
-
-OpenAI does not have a free tier for their API. With the release of gpt-4o, pricing has been reduced and each generation should cost fractions of a cent if you choose to go this route.
-
-### Supported Models
-
-You must use a vision capable model with Frigate. Current model variants can be found [in their documentation](https://platform.openai.com/docs/models). At the time of writing, this includes `gpt-4o` and `gpt-4-turbo`.
-
-### Get API Key
-
-To start using OpenAI, you must first [create an API key](https://platform.openai.com/api-keys) and [configure billing](https://platform.openai.com/settings/organization/billing/overview).
-
-### Configuration
-
-```yaml
-genai:
-  provider: openai
-  api_key: "{FRIGATE_OPENAI_API_KEY}"
-  model: gpt-4o
-```
-
-:::note
-
-To use a different OpenAI-compatible API endpoint, set the `OPENAI_BASE_URL` environment variable to your provider's API URL.
-
-:::
-
-## Azure OpenAI
-
-Microsoft offers several vision models through Azure OpenAI. A subscription is required.
-
-### Supported Models
-
-You must use a vision capable model with Frigate. Current model variants can be found [in their documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models). At the time of writing, this includes `gpt-4o` and `gpt-4-turbo`.
-
-### Create Resource and Get API Key
-
-To start using Azure OpenAI, you must first [create a resource](https://learn.microsoft.com/azure/cognitive-services/openai/how-to/create-resource?pivots=web-portal#create-a-resource). You'll need your API key and resource URL, which must include the `api-version` parameter (see the example below). The model field is not required in your configuration as the model is part of the deployment name you chose when deploying the resource.
-
-### Configuration
-
-```yaml
-genai:
-  provider: azure_openai
-  base_url: https://example-endpoint.openai.azure.com/openai/deployments/gpt-4o/chat/completions?api-version=2023-03-15-preview
-  api_key: "{FRIGATE_OPENAI_API_KEY}"
-```
-
-## Usage and Best Practices
-
-Frigate's thumbnail search excels at identifying specific details about tracked objects – for example, using an "image caption" approach to find a "person wearing a yellow vest," "a white dog running across the lawn," or "a red car on a residential street." To enhance this further, Frigate’s default prompts are designed to ask your AI provider about the intent behind the object's actions, rather than just describing its appearance.
-
-While generating simple descriptions of detected objects is useful, understanding intent provides a deeper layer of insight. Instead of just recognizing "what" is in a scene, Frigate’s default prompts aim to infer "why" it might be there or "what" it could do next. Descriptions tell you what’s happening, but intent gives context. For instance, a person walking toward a door might seem like a visitor, but if they’re moving quickly after hours, you can infer a potential break-in attempt. Detecting a person loitering near a door at night can trigger an alert sooner than simply noting "a person standing by the door," helping you respond based on the situation’s context.
-
-### Using GenAI for notifications
-
-Frigate provides an [MQTT topic](/integrations/mqtt), `frigate/tracked_object_update`, that is updated with a JSON payload containing `event_id` and `description` when your AI provider returns a description for a tracked object. This description could be used directly in notifications, such as sending alerts to your phone or making audio announcements. If additional details from the tracked object are needed, you can query the [HTTP API](/integrations/api/event-events-event-id-get) using the `event_id`, eg: `http://frigate_ip:5000/api/events/<event_id>`.
-
-If looking to get notifications earlier than when an object ceases to be tracked, an additional send trigger can be configured of `after_significant_updates`.
-
-```yaml
-genai:
-  send_triggers:
-    tracked_object_end: true # default
-    after_significant_updates: 3 # how many updates to a tracked object before we should send an image
-```
-
-## Custom Prompts
-
-Frigate sends multiple frames from the tracked object along with a prompt to your Generative AI provider asking it to generate a description. The default prompt is as follows:
-
-```
-Analyze the sequence of images containing the {label}. Focus on the likely intent or behavior of the {label} based on its actions and movement, rather than describing its appearance or the surroundings. Consider what the {label} is doing, why, and what it might do next.
-```
-
-:::tip
-
-Prompts can use variable replacements `{label}`, `{sub_label}`, and `{camera}` to substitute information from the tracked object as part of the prompt.
-
-:::
-
-You are also able to define custom prompts in your configuration.
-
-```yaml
-genai:
-  provider: ollama
-  base_url: http://localhost:11434
-  model: llava
-
-objects:
-    prompt: "Analyze the {label} in these images from the {camera} security camera. Focus on the actions, behavior, and potential intent of the {label}, rather than just describing its appearance."
-    object_prompts:
-      person: "Examine the main person in these images. What are they doing and what might their actions suggest about their intent (e.g., approaching a door, leaving an area, standing still)? Do not describe the surroundings or static details."
-      car: "Observe the primary vehicle in these images. Focus on its movement, direction, or purpose (e.g., parking, approaching, circling). If it's a delivery vehicle, mention the company."
-```
-
-Prompts can also be overridden at the camera level to provide a more detailed prompt to the model about your specific camera, if you desire.
-
-```yaml
-cameras:
-  front_door:
-    objects:
-      genai:
-        enabled: True
-        use_snapshot: True
-        prompt: "Analyze the {label} in these images from the {camera} security camera at the front door. Focus on the actions and potential intent of the {label}."
-        object_prompts:
-          person: "Examine the person in these images. What are they doing, and how might their actions suggest their purpose (e.g., delivering something, approaching, leaving)? If they are carrying or interacting with a package, include details about its source or destination."
-          cat: "Observe the cat in these images. Focus on its movement and intent (e.g., wandering, hunting, interacting with objects). If the cat is near the flower pots or engaging in any specific actions, mention it."
-        objects:
-          - person
-          - cat
-        required_zones:
-          - steps
-```
-
-### Experiment with prompts
-
-Many providers also have a public facing chat interface for their models. Download a couple of different thumbnails or snapshots from Frigate and try new things in the playground to get descriptions to your liking before updating the prompt in Frigate.
-
-- OpenAI - [ChatGPT](https://chatgpt.com)
-- Gemini - [Google AI Studio](https://aistudio.google.com)
-- Ollama - [Open WebUI](https://docs.openwebui.com/)
diff --git a/docs/docs/configuration/genai/config.md b/docs/docs/configuration/genai/config.md
index bf72db4ea..e1f79b744 100644
--- a/docs/docs/configuration/genai/config.md
+++ b/docs/docs/configuration/genai/config.md
@@ -17,11 +17,23 @@ Using Ollama on CPU is not recommended, high inference times make using Generati
 
 :::
 
-[Ollama](https://ollama.com/) allows you to self-host large language models and keep everything running locally. It provides a nice API over [llama.cpp](https://github.com/ggerganov/llama.cpp). It is highly recommended to host this server on a machine with an Nvidia graphics card, or on a Apple silicon Mac for best performance.
+[Ollama](https://ollama.com/) allows you to self-host large language models and keep everything running locally. It is highly recommended to host this server on a machine with an Nvidia graphics card, or on a Apple silicon Mac for best performance.
 
 Most of the 7b parameter 4-bit vision models will fit inside 8GB of VRAM. There is also a [Docker container](https://hub.docker.com/r/ollama/ollama) available.
 
-Parallel requests also come with some caveats. You will need to set `OLLAMA_NUM_PARALLEL=1` and choose a `OLLAMA_MAX_QUEUE` and `OLLAMA_MAX_LOADED_MODELS` values that are appropriate for your hardware and preferences. See the [Ollama documentation](https://github.com/ollama/ollama/blob/main/docs/faq.md#how-does-ollama-handle-concurrent-requests).
+Parallel requests also come with some caveats. You will need to set `OLLAMA_NUM_PARALLEL=1` and choose a `OLLAMA_MAX_QUEUE` and `OLLAMA_MAX_LOADED_MODELS` values that are appropriate for your hardware and preferences. See the [Ollama documentation](https://docs.ollama.com/faq#how-does-ollama-handle-concurrent-requests).
+
+### Model Types: Instruct vs Thinking
+
+Most vision-language models are available as **instruct** models, which are fine-tuned to follow instructions and respond concisely to prompts. However, some models (such as certain Qwen-VL or minigpt variants) offer both **instruct** and **thinking** versions.
+
+- **Instruct models** are always recommended for use with Frigate. These models generate direct, relevant, actionable descriptions that best fit Frigate's object and event summary use case.
+- **Thinking models** are fine-tuned for more free-form, open-ended, and speculative outputs, which are typically not concise and may not provide the practical summaries Frigate expects. For this reason, Frigate does **not** recommend or support using thinking models.
+
+Some models are labeled as **hybrid** (capable of both thinking and instruct tasks). In these cases, Frigate will always use instruct-style prompts and specifically disables thinking-mode behaviors to ensure concise, useful responses.
+
+**Recommendation:**
+Always select the `-instruct` or documented instruct/tagged variant of any model you use in your Frigate configuration. If in doubt, refer to your model provider’s documentation or model library for guidance on the correct model variant to use.
 
 ### Supported Models
 
@@ -35,18 +47,18 @@ Each model is available in multiple parameter sizes (3b, 4b, 8b, etc.). Larger s
 
 :::tip
 
-If you are trying to use a single model for Frigate and HomeAssistant, it will need to support vision and tools calling. https://github.com/skye-harris/ollama-modelfiles contains optimized model configs for this task.
+If you are trying to use a single model for Frigate and HomeAssistant, it will need to support vision and tools calling. qwen3-VL supports vision and tools simultaneously in Ollama.
 
 :::
 
 The following models are recommended:
 
-| Model             | Notes                                                       |
-| ----------------- | ----------------------------------------------------------- |
-| `Intern3.5VL`     | Relatively fast with good vision comprehension
-| `gemma3`          | Strong frame-to-frame understanding, slower inference times |
-| `qwen2.5vl`       | Fast but capable model with good vision comprehension       |
-| `llava-phi3`      | Lightweight and fast model with vision comprehension        |
+| Model         | Notes                                                                |
+| ------------- | -------------------------------------------------------------------- |
+| `qwen3-vl`    | Strong visual and situational understanding, higher vram requirement |
+| `Intern3.5VL` | Relatively fast with good vision comprehension                       |
+| `gemma3`      | Strong frame-to-frame understanding, slower inference times          |
+| `qwen2.5-vl`  | Fast but capable model with good vision comprehension                |
 
 :::note
 
@@ -54,26 +66,26 @@ You should have at least 8 GB of RAM available (or VRAM if running on GPU) to ru
 
 :::
 
+#### Ollama Cloud models
+
+Ollama also supports [cloud models](https://ollama.com/cloud), where your local Ollama instance handles requests from Frigate, but model inference is performed in the cloud. Set up Ollama locally, sign in with your Ollama account, and specify the cloud model name in your Frigate config. For more details, see the Ollama cloud model [docs](https://docs.ollama.com/cloud).
+
 ### Configuration
 
 ```yaml
 genai:
   provider: ollama
   base_url: http://localhost:11434
-  model: minicpm-v:8b
-  provider_options:  # other Ollama client options can be defined
-    keep_alive: -1
-    options:
-        num_ctx: 8192  # make sure the context matches other services that are using ollama
+  model: qwen3-vl:4b
 ```
 
 ## Google Gemini
 
-Google Gemini has a free tier allowing [15 queries per minute](https://ai.google.dev/pricing) to the API, which is more than sufficient for standard Frigate usage.
+Google Gemini has a [free tier](https://ai.google.dev/pricing) for the API, however the limits may not be sufficient for standard Frigate usage. Choose a plan appropriate for your installation.
 
 ### Supported Models
 
-You must use a vision capable model with Frigate. Current model variants can be found [in their documentation](https://ai.google.dev/gemini-api/docs/models/gemini). At the time of writing, this includes `gemini-1.5-pro` and `gemini-1.5-flash`.
+You must use a vision capable model with Frigate. Current model variants can be found [in their documentation](https://ai.google.dev/gemini-api/docs/models/gemini).
 
 ### Get API Key
 
@@ -90,16 +102,32 @@ To start using Gemini, you must first get an API key from [Google AI Studio](htt
 genai:
   provider: gemini
   api_key: "{FRIGATE_GEMINI_API_KEY}"
-  model: gemini-1.5-flash
+  model: gemini-2.5-flash
 ```
 
+:::note
+
+To use a different Gemini-compatible API endpoint, set the `provider_options` with the `base_url` key to your provider's API URL. For example:
+
+```
+genai:
+  provider: gemini
+  ...
+  provider_options:
+    base_url: https://...
+```
+
+Other HTTP options are available, see the [python-genai documentation](https://github.com/googleapis/python-genai).
+
+:::
+
 ## OpenAI
 
 OpenAI does not have a free tier for their API. With the release of gpt-4o, pricing has been reduced and each generation should cost fractions of a cent if you choose to go this route.
 
 ### Supported Models
 
-You must use a vision capable model with Frigate. Current model variants can be found [in their documentation](https://platform.openai.com/docs/models). At the time of writing, this includes `gpt-4o` and `gpt-4-turbo`.
+You must use a vision capable model with Frigate. Current model variants can be found [in their documentation](https://platform.openai.com/docs/models).
 
 ### Get API Key
 
@@ -120,23 +148,41 @@ To use a different OpenAI-compatible API endpoint, set the `OPENAI_BASE_URL` env
 
 :::
 
+:::tip
+
+For OpenAI-compatible servers (such as llama.cpp) that don't expose the configured context size in the API response, you can manually specify the context size in `provider_options`:
+
+```yaml
+genai:
+  provider: openai
+  base_url: http://your-llama-server
+  model: your-model-name
+  provider_options:
+    context_size: 8192 # Specify the configured context size
+```
+
+This ensures Frigate uses the correct context window size when generating prompts.
+
+:::
+
 ## Azure OpenAI
 
 Microsoft offers several vision models through Azure OpenAI. A subscription is required.
 
 ### Supported Models
 
-You must use a vision capable model with Frigate. Current model variants can be found [in their documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models). At the time of writing, this includes `gpt-4o` and `gpt-4-turbo`.
+You must use a vision capable model with Frigate. Current model variants can be found [in their documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models).
 
 ### Create Resource and Get API Key
 
-To start using Azure OpenAI, you must first [create a resource](https://learn.microsoft.com/azure/cognitive-services/openai/how-to/create-resource?pivots=web-portal#create-a-resource). You'll need your API key and resource URL, which must include the `api-version` parameter (see the example below). The model field is not required in your configuration as the model is part of the deployment name you chose when deploying the resource.
+To start using Azure OpenAI, you must first [create a resource](https://learn.microsoft.com/azure/cognitive-services/openai/how-to/create-resource?pivots=web-portal#create-a-resource). You'll need your API key, model name, and resource URL, which must include the `api-version` parameter (see the example below).
 
 ### Configuration
 
 ```yaml
 genai:
   provider: azure_openai
-  base_url: https://example-endpoint.openai.azure.com/openai/deployments/gpt-4o/chat/completions?api-version=2023-03-15-preview
+  base_url: https://instance.cognitiveservices.azure.com/openai/responses?api-version=2025-04-01-preview
+  model: gpt-5-mini
   api_key: "{FRIGATE_OPENAI_API_KEY}"
 ```
diff --git a/docs/docs/configuration/genai/objects.md b/docs/docs/configuration/genai/objects.md
index e5aa92cc0..e3ae31393 100644
--- a/docs/docs/configuration/genai/objects.md
+++ b/docs/docs/configuration/genai/objects.md
@@ -39,9 +39,10 @@ You are also able to define custom prompts in your configuration.
 genai:
   provider: ollama
   base_url: http://localhost:11434
-  model: llava
+  model: qwen3-vl:8b-instruct
 
 objects:
+  genai:
     prompt: "Analyze the {label} in these images from the {camera} security camera. Focus on the actions, behavior, and potential intent of the {label}, rather than just describing its appearance."
     object_prompts:
       person: "Examine the main person in these images. What are they doing and what might their actions suggest about their intent (e.g., approaching a door, leaving an area, standing still)? Do not describe the surroundings or static details."
diff --git a/docs/docs/configuration/genai/review_summaries.md b/docs/docs/configuration/genai/review_summaries.md
index b630c4da6..df287446c 100644
--- a/docs/docs/configuration/genai/review_summaries.md
+++ b/docs/docs/configuration/genai/review_summaries.md
@@ -7,38 +7,99 @@ Generative AI can be used to automatically generate structured summaries of revi
 
 Requests for a summary are requested automatically to your AI provider for alert review items when the activity has ended, they can also be optionally enabled for detections as well.
 
-Generative AI review summaries can also be toggled dynamically for a camera via MQTT with the topic `frigate/<camera_name>/review_descriptions/set`. See the [MQTT documentation](/integrations/mqtt/#frigatecamera_namereviewdescriptionsset).
+Generative AI review summaries can also be toggled dynamically for a [camera via MQTT](/integrations/mqtt/#frigatecamera_namereviewdescriptionsset).
 
 ## Review Summary Usage and Best Practices
 
 Review summaries provide structured JSON responses that are saved for each review item:
 
 ```
-- `scene` (string): A full description including setting, entities, actions, and any plausible supported inferences.
-- `confidence` (float): 0-1 confidence in the analysis.
+- `title` (string): A concise, direct title that describes the purpose or overall action (e.g., "Person taking out trash", "Joe walking dog").
+- `scene` (string): A narrative description of what happens across the sequence from start to finish, including setting, detected objects, and their observable actions.
+- `shortSummary` (string): A brief 2-sentence summary of the scene, suitable for notifications. This is a condensed version of the scene description.
+- `confidence` (float): 0-1 confidence in the analysis. Higher confidence when objects/actions are clearly visible and context is unambiguous.
 - `other_concerns` (list): List of user-defined concerns that may need additional investigation.
 - `potential_threat_level` (integer): 0, 1, or 2 as defined below.
-
-Threat-level definitions:
-- 0 — Typical or expected activity for this location/time (includes residents, guests, or known animals engaged in normal activities, even if they glance around or scan surroundings).
-- 1 — Unusual or suspicious activity: At least one security-relevant behavior is present **and not explainable by a normal residential activity**.
-- 2 — Active or immediate threat: Breaking in, vandalism, aggression, weapon display.
 ```
 
-This will show in the UI as a list of concerns that each review item has along with the general description.
+This will show in multiple places in the UI to give additional context about each activity, and allow viewing more details when extra attention is required. Frigate's built in notifications will automatically show the title and `shortSummary` when the data is available, while the full `scene` description is available in the UI for detailed review.
 
 ### Defining Typical Activity
 
-Each installation and even camera can have different parameters for what is considered suspicious activity. Frigate allows the `activity_context_prompt` to be defined globally and at the camera level, which allows you to define more specifically what should be considered normal activity. It is important that this is not overly specific as it can sway the output of the response. The default `activity_context_prompt` is below:
+Each installation and even camera can have different parameters for what is considered suspicious activity. Frigate allows the `activity_context_prompt` to be defined globally and at the camera level, which allows you to define more specifically what should be considered normal activity. It is important that this is not overly specific as it can sway the output of the response.
 
+<details>
+  <summary>Default Activity Context Prompt</summary>
+
+```yaml
+review:
+  genai:
+    activity_context_prompt: |
+      ### Normal Activity Indicators (Level 0)
+      - Known/verified people in any zone at any time
+      - People with pets in residential areas
+      - Deliveries or services during daytime/evening (6 AM - 10 PM): carrying packages to doors/porches, placing items, leaving
+      - Services/maintenance workers with visible tools, uniforms, or service vehicles during daytime
+      - Activity confined to public areas only (sidewalks, streets) without entering property at any time
+
+      ### Suspicious Activity Indicators (Level 1)
+      - **Testing or attempting to open doors/windows/handles on vehicles or buildings** — ALWAYS Level 1 regardless of time or duration
+      - **Unidentified person in private areas (driveways, near vehicles/buildings) during late night/early morning (11 PM - 5 AM)** — ALWAYS Level 1 regardless of activity or duration
+      - Taking items that don't belong to them (packages, objects from porches/driveways)
+      - Climbing or jumping fences/barriers to access property
+      - Attempting to conceal actions or items from view
+      - Prolonged loitering: remaining in same area without visible purpose throughout most of the sequence
+
+      ### Critical Threat Indicators (Level 2)
+      - Holding break-in tools (crowbars, pry bars, bolt cutters)
+      - Weapons visible (guns, knives, bats used aggressively)
+      - Forced entry in progress
+      - Physical aggression or violence
+      - Active property damage or theft in progress
+
+      ### Assessment Guidance
+      Evaluate in this order:
+
+      1. **If person is verified/known** → Level 0 regardless of time or activity
+      2. **If person is unidentified:**
+        - Check time: If late night/early morning (11 PM - 5 AM) AND in private areas (driveways, near vehicles/buildings) → Level 1
+        - Check actions: If testing doors/handles, taking items, climbing → Level 1
+        - Otherwise, if daytime/evening (6 AM - 10 PM) with clear legitimate purpose (delivery, service worker) → Level 0
+      3. **Escalate to Level 2 if:** Weapons, break-in tools, forced entry in progress, violence, or active property damage visible (escalates from Level 0 or 1)
+
+      The mere presence of an unidentified person in private areas during late night hours is inherently suspicious and warrants human review, regardless of what activity they appear to be doing or how brief the sequence is.
 ```
-- **Zone context is critical**: Private enclosed spaces (back yards, back decks, fenced areas, inside garages) are resident territory where brief transient activity, routine tasks, and pet care are expected and normal. Front yards, driveways, and porches are semi-public but still resident spaces where deliveries, parking, and coming/going are routine. Consider whether the zone and activity align with normal residential use.
-- **Person + Pet = Normal Activity**: When both "Person" and "Dog" (or "Cat") are detected together in residential zones, this is routine pet care activity (walking, letting out, playing, supervising). Assign Level 0 unless there are OTHER strong suspicious behaviors present (like testing doors, taking items, etc.). A person with their pet in a residential zone is baseline normal activity.
-- Brief appearances in private zones (back yards, garages) are normal residential patterns.
-- Normal residential activity includes: residents, family members, guests, deliveries, services, maintenance workers, routine property use (parking, unloading, mail pickup, trash removal).
-- Brief movement with legitimate items (bags, packages, tools, equipment) in appropriate zones is routine.
+
+</details>
+
+### Image Source
+
+By default, review summaries use preview images (cached preview frames) which have a lower resolution but use fewer tokens per image. For better image quality and more detailed analysis, you can configure Frigate to extract frames directly from recordings at a higher resolution:
+
+```yaml
+review:
+  genai:
+    enabled: true
+    image_source: recordings # Options: "preview" (default) or "recordings"
 ```
 
+When using `recordings`, frames are extracted at 480px height while maintaining the camera's original aspect ratio, providing better detail for the LLM while being mindful of context window size. This is particularly useful for scenarios where fine details matter, such as identifying license plates, reading text, or analyzing distant objects.
+
+The number of frames sent to the LLM is dynamically calculated based on:
+
+- Your LLM provider's context window size
+- The camera's resolution and aspect ratio (ultrawide cameras like 32:9 use more tokens per image)
+- The image source (recordings use more tokens than preview images)
+
+Frame counts are automatically optimized to use ~98% of the available context window while capping at 20 frames maximum to ensure reasonable inference times. Note that using recordings will:
+
+- Provide higher quality images to the LLM (480p vs 180p preview images)
+- Use more tokens per image due to higher resolution
+- Result in fewer frames being sent for ultrawide cameras due to larger image size
+- Require that recordings are enabled for the camera
+
+If recordings are not available for a given time period, the system will automatically fall back to using preview frames.
+
 ### Additional Concerns
 
 Along with the concern of suspicious activity or immediate threat, you may have concerns such as animals in your garden or a gate being left open. These concerns can be configured so that the review summaries will make note of them if the activity requires additional review. For example:
@@ -51,6 +112,23 @@ review:
       - animals in the garden
 ```
 
+### Preferred Language
+
+By default, review summaries are generated in English. You can configure Frigate to generate summaries in your preferred language by setting the `preferred_language` option:
+
+```yaml
+review:
+  genai:
+    enabled: true
+    preferred_language: Spanish
+```
+
 ## Review Reports
 
-Along with individual review item summaries, Generative AI provides the ability to request a report of a given time period. For example, you can get a daily report while on a vacation of any suspicious activity or other concerns that may require review.
\ No newline at end of file
+Along with individual review item summaries, Generative AI can also produce a single report of review items from all cameras marked "suspicious" over a specified time period (for example, a daily summary of suspicious activity while you're on vacation).
+
+### Requesting Reports Programmatically
+
+Review reports can be requested via the [API](/integrations/api/generate-review-summary-review-summarize-start-start-ts-end-end-ts-post) by sending a POST request to `/api/review/summarize/start/{start_ts}/end/{end_ts}` with Unix timestamps.
+
+For Home Assistant users, there is a built-in service (`frigate.review_summarize`) that makes it easy to request review reports as part of automations or scripts. This allows you to automatically generate daily summaries, vacation reports, or custom time period reports based on your specific needs.
diff --git a/docs/docs/configuration/hardware_acceleration_enrichments.md b/docs/docs/configuration/hardware_acceleration_enrichments.md
index 84688b8b4..fac2ffa61 100644
--- a/docs/docs/configuration/hardware_acceleration_enrichments.md
+++ b/docs/docs/configuration/hardware_acceleration_enrichments.md
@@ -5,7 +5,7 @@ title: Enrichments
 
 # Enrichments
 
-Some of Frigate's enrichments can use a discrete GPU / NPU for accelerated processing.
+Some of Frigate's enrichments can use a discrete GPU or integrated GPU for accelerated processing.
 
 ## Requirements
 
@@ -13,13 +13,15 @@ Object detection and enrichments (like Semantic Search, Face Recognition, and Li
 
 - **AMD**
 
-  - ROCm will automatically be detected and used for enrichments in the `-rocm` Frigate image.
+  - ROCm support in the `-rocm` Frigate image is automatically detected for enrichments, but only some enrichment models are available due to ROCm's focus on LLMs and limited stability with certain neural network models. Frigate disables models that perform poorly or are unstable to ensure reliable operation, so only compatible enrichments may be active.
 
 - **Intel**
 
   - OpenVINO will automatically be detected and used for enrichments in the default Frigate image.
+  - **Note:** Intel NPUs have limited model support for enrichments. GPU is recommended for enrichments when available.
 
 - **Nvidia**
+
   - Nvidia GPUs will automatically be detected and used for enrichments in the `-tensorrt` Frigate image.
   - Jetson devices will automatically be detected and used for enrichments in the `-tensorrt-jp6` Frigate image.
 
diff --git a/docs/docs/configuration/hardware_acceleration_video.md b/docs/docs/configuration/hardware_acceleration_video.md
index b7cb794ae..bbbf5a640 100644
--- a/docs/docs/configuration/hardware_acceleration_video.md
+++ b/docs/docs/configuration/hardware_acceleration_video.md
@@ -3,78 +3,65 @@ id: hardware_acceleration_video
 title: Video Decoding
 ---
 
+import CommunityBadge from '@site/src/components/CommunityBadge';
+
 # Video Decoding
 
-It is highly recommended to use a GPU for hardware acceleration video decoding in Frigate. Some types of hardware acceleration are detected and used automatically, but you may need to update your configuration to enable hardware accelerated decoding in ffmpeg.
+It is highly recommended to use an integrated or discrete GPU for hardware acceleration video decoding in Frigate.
 
-Depending on your system, these parameters may not be compatible. More information on hardware accelerated decoding for ffmpeg can be found here: https://trac.ffmpeg.org/wiki/HWAccelIntro
+Some types of hardware acceleration are detected and used automatically, but you may need to update your configuration to enable hardware accelerated decoding in ffmpeg. To verify that hardware acceleration is working:
+- Check the logs: A message will either say that hardware acceleration was automatically detected, or there will be a warning that no hardware acceleration was automatically detected
+- If hardware acceleration is specified in the config, verification can be done by ensuring the logs are free from errors. There is no CPU fallback for hardware acceleration.
 
+:::info
 
-## Raspberry Pi 3/4
+Frigate supports presets for optimal hardware accelerated video decoding:
 
-Ensure you increase the allocated RAM for your GPU to at least 128 (`raspi-config` > Performance Options > GPU Memory).
-If you are using the HA Add-on, you may need to use the full access variant and turn off _Protection mode_ for hardware acceleration.
+**AMD**
 
-```yaml
-# if you want to decode a h264 stream
-ffmpeg:
-  hwaccel_args: preset-rpi-64-h264
+- [AMD](#amd-based-cpus): Frigate can utilize modern AMD integrated GPUs and AMD discrete GPUs to accelerate video decoding.
 
-# if you want to decode a h265 (hevc) stream
-ffmpeg:
-  hwaccel_args: preset-rpi-64-h265
-```
+**Intel**
 
-:::note
+- [Intel](#intel-based-cpus): Frigate can utilize most Intel integrated GPUs and Arc GPUs to accelerate video decoding.
 
-If running Frigate through Docker, you either need to run in privileged mode or
-map the `/dev/video*` devices to Frigate. With Docker Compose add:
+**Nvidia GPU**
 
-```yaml
-services:
-  frigate:
-    ...
-    devices:
-      - /dev/video11:/dev/video11
-```
+- [Nvidia GPU](#nvidia-gpus): Frigate can utilize most modern Nvidia GPUs to accelerate video decoding.
 
-Or with `docker run`:
+**Raspberry Pi 3/4**
 
-```bash
-docker run -d \
-  --name frigate \
-  ...
-  --device /dev/video11 \
-  ghcr.io/blakeblackshear/frigate:stable
-```
+- [Raspberry Pi](#raspberry-pi-34): Frigate can utilize the media engine in the Raspberry Pi 3 and 4 to slightly accelerate video decoding.
 
-`/dev/video11` is the correct device (on Raspberry Pi 4B). You can check
-by running the following and looking for `H264`:
+**Nvidia Jetson** <CommunityBadge />
 
-```bash
-for d in /dev/video*; do
-  echo -e "---\n$d"
-  v4l2-ctl --list-formats-ext -d $d
-done
-```
+- [Jetson](#nvidia-jetson): Frigate can utilize the media engine in Jetson hardware to accelerate video decoding.
 
-Or map in all the `/dev/video*` devices.
+**Rockchip** <CommunityBadge />
+
+- [RKNN](#rockchip-platform): Frigate can utilize the media engine in RockChip SOCs to accelerate video decoding.
+
+**Other Hardware**
+
+Depending on your system, these presets may not be compatible, and you may need to use manual hwaccel args to take advantage of your hardware. More information on hardware accelerated decoding for ffmpeg can be found here: https://trac.ffmpeg.org/wiki/HWAccelIntro
 
 :::
 
 ## Intel-based CPUs
 
+Frigate can utilize most Intel integrated GPUs and Arc GPUs to accelerate video decoding.
+
 :::info
 
 **Recommended hwaccel Preset**
 
-| CPU Generation | Intel Driver | Recommended Preset  | Notes                                |
-| -------------- | ------------ | ------------------- | ------------------------------------ |
-| gen1 - gen5    | i965         | preset-vaapi        | qsv is not supported                 |
-| gen6 - gen7    | iHD          | preset-vaapi        | qsv is not supported                 |
-| gen8 - gen12   | iHD          | preset-vaapi        | preset-intel-qsv-\* can also be used |
-| gen13+         | iHD / Xe     | preset-intel-qsv-\* |                                      |
-| Intel Arc GPU  | iHD / Xe     | preset-intel-qsv-\* |                                      |
+| CPU Generation | Intel Driver | Recommended Preset  | Notes                                       |
+| -------------- | ------------ | ------------------- | ------------------------------------------- |
+| gen1 - gen5    | i965         | preset-vaapi        | qsv is not supported, may not support H.265 |
+| gen6 - gen7    | iHD          | preset-vaapi        | qsv is not supported                        |
+| gen8 - gen12   | iHD          | preset-vaapi        | preset-intel-qsv-\* can also be used        |
+| gen13+         | iHD / Xe     | preset-intel-qsv-\* |                                             |
+| Intel Arc GPU  | iHD / Xe     | preset-intel-qsv-\* |                                             |
 
 :::
 
@@ -195,15 +182,17 @@ telemetry:
 
 If you are passing in a device path, make sure you've passed the device through to the container.
 
-## AMD/ATI GPUs (Radeon HD 2000 and newer GPUs) via libva-mesa-driver
+## AMD-based CPUs
 
-VAAPI supports automatic profile selection so it will work automatically with both H.264 and H.265 streams.
+Frigate can utilize modern AMD integrated GPUs and AMD GPUs to accelerate video decoding using VAAPI.
 
-:::note
+### Configuring Radeon Driver
 
 You need to change the driver to `radeonsi` by adding the following environment variable `LIBVA_DRIVER_NAME=radeonsi` to your docker-compose file or [in the `config.yml` for HA Add-on users](advanced.md#environment_vars).
 
-:::
+### Via VAAPI
+
+VAAPI supports automatic profile selection so it will work automatically with both H.264 and H.265 streams.
 
 ```yaml
 ffmpeg:
@@ -264,7 +253,7 @@ processes:
 
 :::note
 
-`nvidia-smi` may not show `ffmpeg` processes when run inside the container [due to docker limitations](https://github.com/NVIDIA/nvidia-docker/issues/179#issuecomment-645579458).
+`nvidia-smi` will not show `ffmpeg` processes when run inside the container [due to docker limitations](https://github.com/NVIDIA/nvidia-docker/issues/179#issuecomment-645579458).
 
 :::
 
@@ -300,12 +289,63 @@ If you do not see these processes, check the `docker logs` for the container and
 
 These instructions were originally based on the [Jellyfin documentation](https://jellyfin.org/docs/general/administration/hardware-acceleration.html#nvidia-hardware-acceleration-on-docker-linux).
 
+## Raspberry Pi 3/4
+
+Ensure you increase the allocated RAM for your GPU to at least 128 (`raspi-config` > Performance Options > GPU Memory).
+If you are using the HA Add-on, you may need to use the full access variant and turn off _Protection mode_ for hardware acceleration.
+
+```yaml
+# if you want to decode a h264 stream
+ffmpeg:
+  hwaccel_args: preset-rpi-64-h264
+
+# if you want to decode a h265 (hevc) stream
+ffmpeg:
+  hwaccel_args: preset-rpi-64-h265
+```
+
+:::note
+
+If running Frigate through Docker, you either need to run in privileged mode or
+map the `/dev/video*` devices to Frigate. With Docker Compose add:
+
+```yaml
+services:
+  frigate:
+    ...
+    devices:
+      - /dev/video11:/dev/video11
+```
+
+Or with `docker run`:
+
+```bash
+docker run -d \
+  --name frigate \
+  ...
+  --device /dev/video11 \
+  ghcr.io/blakeblackshear/frigate:stable
+```
+
+`/dev/video11` is the correct device (on Raspberry Pi 4B). You can check
+by running the following and looking for `H264`:
+
+```bash
+for d in /dev/video*; do
+  echo -e "---\n$d"
+  v4l2-ctl --list-formats-ext -d $d
+done
+```
+
+Or map in all the `/dev/video*` devices.
+
+:::
+
 # Community Supported
 
-## NVIDIA Jetson (Orin AGX, Orin NX, Orin Nano\*, Xavier AGX, Xavier NX, TX2, TX1, Nano)
+## NVIDIA Jetson
 
-A separate set of docker images is available that is based on Jetpack/L4T. They come with an `ffmpeg` build
-with codecs that use the Jetson's dedicated media engine. If your Jetson host is running Jetpack 6.0+ use the `stable-tensorrt-jp6` tagged image. Note that the Orin Nano has no video encoder, so frigate will use software encoding on this platform, but the image will still allow hardware decoding and tensorrt object detection.
+A separate set of docker images is available for Jetson devices. They come with an `ffmpeg` build with codecs that use the Jetson's dedicated media engine. If your Jetson host is running Jetpack 6.0+ use the `stable-tensorrt-jp6` tagged image. Note that the Orin Nano has no video encoder, so frigate will use software encoding on this platform, but the image will still allow hardware decoding and tensorrt object detection.
 
 You will need to use the image with the nvidia container runtime:
 
diff --git a/docs/docs/configuration/license_plate_recognition.md b/docs/docs/configuration/license_plate_recognition.md
index e1095ff08..5f70dd9a0 100644
--- a/docs/docs/configuration/license_plate_recognition.md
+++ b/docs/docs/configuration/license_plate_recognition.md
@@ -3,18 +3,18 @@ id: license_plate_recognition
 title: License Plate Recognition (LPR)
 ---
 
-Frigate can recognize license plates on vehicles and automatically add the detected characters to the `recognized_license_plate` field or a known name as a `sub_label` to tracked objects of type `car` or `motorcycle`. A common use case may be to read the license plates of cars pulling into a driveway or cars passing by on a street.
+Frigate can recognize license plates on vehicles and automatically add the detected characters to the `recognized_license_plate` field or a [known](#matching) name as a `sub_label` to tracked objects of type `car` or `motorcycle`. A common use case may be to read the license plates of cars pulling into a driveway or cars passing by on a street.
 
-LPR works best when the license plate is clearly visible to the camera. For moving vehicles, Frigate continuously refines the recognition process, keeping the most confident result. However, LPR does not run on stationary vehicles.
+LPR works best when the license plate is clearly visible to the camera. For moving vehicles, Frigate continuously refines the recognition process, keeping the most confident result. When a vehicle becomes stationary, LPR continues to run for a short time after to attempt recognition.
 
 When a plate is recognized, the details are:
 
-- Added as a `sub_label` (if known) or the `recognized_license_plate` field (if unknown) to a tracked object.
-- Viewable in the Review Item Details pane in Review (sub labels).
+- Added as a `sub_label` (if [known](#matching)) or the `recognized_license_plate` field (if unknown) to a tracked object.
+- Viewable in the Details pane in Review/History.
 - Viewable in the Tracked Object Details pane in Explore (sub labels and recognized license plates).
 - Filterable through the More Filters menu in Explore.
-- Published via the `frigate/events` MQTT topic as a `sub_label` (known) or `recognized_license_plate` (unknown) for the `car` or `motorcycle` tracked object.
-- Published via the `frigate/tracked_object_update` MQTT topic with `name` (if known) and `plate`.
+- Published via the `frigate/events` MQTT topic as a `sub_label` ([known](#matching)) or `recognized_license_plate` (unknown) for the `car` or `motorcycle` tracked object.
+- Published via the `frigate/tracked_object_update` MQTT topic with `name` (if [known](#matching)) and `plate`.
 
 ## Model Requirements
 
@@ -30,7 +30,7 @@ In the default mode, Frigate's LPR needs to first detect a `car` or `motorcycle`
 
 ## Minimum System Requirements
 
-License plate recognition works by running AI models locally on your system. The models are relatively lightweight and can run on your CPU or GPU, depending on your configuration. At least 4GB of RAM is required.
+License plate recognition works by running AI models locally on your system. The YOLOv9 plate detector model and the OCR models ([PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)) are relatively lightweight and can run on your CPU or GPU, depending on your configuration. At least 4GB of RAM is required.
 
 ## Configuration
 
@@ -68,14 +68,14 @@ Fine-tune the LPR feature using these optional parameters at the global level of
   - Default: `1000` pixels. Note: this is intentionally set very low as it is an _area_ measurement (length x width). For reference, 1000 pixels represents a ~32x32 pixel square in your camera image.
   - Depending on the resolution of your camera's `detect` stream, you can increase this value to ignore small or distant plates.
 - **`device`**: Device to use to run license plate detection _and_ recognition models.
-  - Default: `CPU`
-  - This can be `CPU`, `GPU`, or the GPU's device number. For users without a model that detects license plates natively, using a GPU may increase performance of the YOLOv9 license plate detector model. See the [Hardware Accelerated Enrichments](/configuration/hardware_acceleration_enrichments.md) documentation. However, for users who run a model that detects `license_plate` natively, there is little to no performance gain reported with running LPR on GPU compared to the CPU.
+  - Default: `None`
+  - This is auto-selected by Frigate and can be `CPU`, `GPU`, or the GPU's device number. For users without a model that detects license plates natively, using a GPU may increase performance of the YOLOv9 license plate detector model. See the [Hardware Accelerated Enrichments](/configuration/hardware_acceleration_enrichments.md) documentation. However, for users who run a model that detects `license_plate` natively, there is little to no performance gain reported with running LPR on GPU compared to the CPU.
 - **`model_size`**: The size of the model used to identify regions of text on plates.
   - Default: `small`
   - This can be `small` or `large`.
   - The `small` model is fast and identifies groups of Latin and Chinese characters.
-  - The `large` model identifies Latin characters only, but uses an enhanced text detector and is more capable at finding characters on multi-line plates. It is significantly slower than the `small` model. Note that using the `large` model does not improve _text recognition_, but it may improve _text detection_.
-  - For most users, the `small` model is recommended.
+  - The `large` model identifies Latin characters only, and uses an enhanced text detector to find characters on multi-line plates. It is significantly slower than the `small` model.
+  - If your country or region does not use multi-line plates, you should use the `small` model as performance is much better for single-line plates.
 
 ### Recognition
 
@@ -107,23 +107,23 @@ Fine-tune the LPR feature using these optional parameters at the global level of
 
 ### Normalization Rules
 
-- **`replace_rules`**: List of regex replacement rules to normalize detected plates. These rules are applied sequentially. Each rule must have a `pattern` (which can be a string or a regex, prepended by `r`) and `replacement` (a string, which also supports [backrefs](https://docs.python.org/3/library/re.html#re.sub) like `\1`). These rules are useful for dealing with common OCR issues like noise characters, separators, or confusions (e.g., 'O'→'0').
+- **`replace_rules`**: List of regex replacement rules to normalize detected plates. These rules are applied sequentially and are applied _before_ the `format` regex, if specified. Each rule must have a `pattern` (which can be a string or a regex) and `replacement` (a string, which also supports [backrefs](https://docs.python.org/3/library/re.html#re.sub) like `\1`). These rules are useful for dealing with common OCR issues like noise characters, separators, or confusions (e.g., 'O'→'0').
 
 These rules must be defined at the global level of your `lpr` config.
 
 ```yaml
 lpr:
   replace_rules:
-    - pattern: r'[%#*?]' # Remove noise symbols
+    - pattern: "[%#*?]" # Remove noise symbols
       replacement: ""
-    - pattern: r'[= ]' # Normalize = or space to dash
+    - pattern: "[= ]" # Normalize = or space to dash
       replacement: "-"
     - pattern: "O" # Swap 'O' to '0' (common OCR error)
       replacement: "0"
-    - pattern: r'I' # Swap 'I' to '1'
+    - pattern: "I" # Swap 'I' to '1'
       replacement: "1"
-    - pattern: r'(\w{3})(\w{3})' # Split 6 chars into groups (e.g., ABC123 → ABC-123)
-      replacement: r'\1-\2'
+    - pattern: '(\w{3})(\w{3})' # Split 6 chars into groups (e.g., ABC123 → ABC-123) - use single quotes to preserve backslashes
+      replacement: '\1-\2'
 ```
 
 - Rules fire in order: In the example above: clean noise first, then separators, then swaps, then splits.
@@ -178,7 +178,7 @@ lpr:
 
 :::note
 
-If you want to detect cars on cameras but don't want to use resources to run LPR on those cars, you should disable LPR for those specific cameras.
+If a camera is configured to detect `car` or `motorcycle` but you don't want Frigate to run LPR for that camera, disable LPR at the camera level:
 
 ```yaml
 cameras:
@@ -306,7 +306,7 @@ With this setup:
 - Review items will always be classified as a `detection`.
 - Snapshots will always be saved.
 - Zones and object masks are **not** used.
-- The `frigate/events` MQTT topic will **not** publish tracked object updates with the license plate bounding box and score, though `frigate/reviews` will publish if recordings are enabled. If a plate is recognized as a known plate, publishing will occur with an updated `sub_label` field. If characters are recognized, publishing will occur with an updated `recognized_license_plate` field.
+- The `frigate/events` MQTT topic will **not** publish tracked object updates with the license plate bounding box and score, though `frigate/reviews` will publish if recordings are enabled. If a plate is recognized as a [known](#matching) plate, publishing will occur with an updated `sub_label` field. If characters are recognized, publishing will occur with an updated `recognized_license_plate` field.
 - License plate snapshots are saved at the highest-scoring moment and appear in Explore.
 - Debug view will not show `license_plate` bounding boxes.
 
@@ -374,9 +374,19 @@ Use `match_distance` to allow small character mismatches. Alternatively, define
 
 Start with ["Why isn't my license plate being detected and recognized?"](#why-isnt-my-license-plate-being-detected-and-recognized). If you are still having issues, work through these steps.
 
-1. Enable debug logs to see exactly what Frigate is doing.
+1. Start with a simplified LPR config.
 
-   - Enable debug logs for LPR by adding `frigate.data_processing.common.license_plate: debug` to your `logger` configuration. These logs are _very_ verbose, so only keep this enabled when necessary.
+   - Remove or comment out everything in your LPR config, including `min_area`, `min_plate_length`, `format`, `known_plates`, or `enhancement` values so that the only values left are `enabled` and `debug_save_plates`. This will run LPR with Frigate's default values.
+
+     ```yaml
+     lpr:
+       enabled: true
+       debug_save_plates: true
+     ```
+
+2. Enable debug logs to see exactly what Frigate is doing.
+
+   - Enable debug logs for LPR by adding `frigate.data_processing.common.license_plate: debug` to your `logger` configuration. These logs are _very_ verbose, so only keep this enabled when necessary. Restart Frigate after this change.
 
      ```yaml
      logger:
@@ -385,7 +395,7 @@ Start with ["Why isn't my license plate being detected and recognized?"](#why-is
          frigate.data_processing.common.license_plate: debug
      ```
 
-2. Ensure your plates are being _detected_.
+3. Ensure your plates are being _detected_.
 
    If you are using a Frigate+ or `license_plate` detecting model:
 
@@ -398,7 +408,7 @@ Start with ["Why isn't my license plate being detected and recognized?"](#why-is
    - Watch the debug logs for messages from the YOLOv9 plate detector.
    - You may need to adjust your `detection_threshold` if your plates are not being detected.
 
-3. Ensure the characters on detected plates are being _recognized_.
+4. Ensure the characters on detected plates are being _recognized_.
 
    - Enable `debug_save_plates` to save images of detected text on plates to the clips directory (`/media/frigate/clips/lpr`). Ensure these images are readable and the text is clear.
    - Watch the debug view to see plates recognized in real-time. For non-dedicated LPR cameras, the `car` or `motorcycle` label will change to the recognized plate when LPR is enabled and working.
@@ -422,6 +432,6 @@ If you are using a model that natively detects `license_plate`, add an _object m
 
 If you are not using a model that natively detects `license_plate` or you are using dedicated LPR camera mode, only a _motion mask_ over your text is required.
 
-### I see "Error running ... model" in my logs. How can I fix this?
+### I see "Error running ... model" in my logs, or my inference time is very high. How can I fix this?
 
 This usually happens when your GPU is unable to compile or use one of the LPR models. Set your `device` to `CPU` and try again. GPU acceleration only provides a slight performance increase, and the models are lightweight enough to run without issue on most CPUs.
diff --git a/docs/docs/configuration/live.md b/docs/docs/configuration/live.md
index 79802b371..910cb69f1 100644
--- a/docs/docs/configuration/live.md
+++ b/docs/docs/configuration/live.md
@@ -15,7 +15,7 @@ The jsmpeg live view will use more browser and client GPU resources. Using go2rt
 | ------ | ------------------------------------- | ---------- | ---------------------------- | --------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
 | jsmpeg | same as `detect -> fps`, capped at 10 | 720p       | no                           | no              | Resolution is configurable, but go2rtc is recommended if you want higher resolutions and better frame rates. jsmpeg is Frigate's default without go2rtc configured. |
 | mse    | native                                | native     | yes (depends on audio codec) | yes             | iPhone requires iOS 17.1+, Firefox is h.264 only. This is Frigate's default when go2rtc is configured.                                                              |
-| webrtc | native                                | native     | yes (depends on audio codec) | yes             | Requires extra configuration, doesn't support h.265. Frigate attempts to use WebRTC when MSE fails or when using a camera's two-way talk feature.                   |
+| webrtc | native                                | native     | yes (depends on audio codec) | yes             | Requires extra configuration. Frigate attempts to use WebRTC when MSE fails or when using a camera's two-way talk feature.                   |
 
 ### Camera Settings Recommendations
 
@@ -127,7 +127,8 @@ WebRTC works by creating a TCP or UDP connection on port `8555`. However, it req
   ```
 
 - For access through Tailscale, the Frigate system's Tailscale IP must be added as a WebRTC candidate. Tailscale IPs all start with `100.`, and are reserved within the `100.64.0.0/10` CIDR block.
-- Note that WebRTC does not support H.265.
+
+- Note that some browsers may not support H.265 (HEVC). You can check your browser's current version for H.265 compatibility [here](https://github.com/AlexxIT/go2rtc?tab=readme-ov-file#codecs-madness). 
 
 :::tip
 
@@ -174,10 +175,12 @@ For devices that support two way talk, Frigate can be configured to use the feat
 - Ensure you access Frigate via https (may require [opening port 8971](/frigate/installation/#ports)).
 - For the Home Assistant Frigate card, [follow the docs](http://card.camera/#/usage/2-way-audio) for the correct source.
 
-To use the Reolink Doorbell with two way talk, you should use the [recommended Reolink configuration](/configuration/camera_specific#reolink-doorbell)
+To use the Reolink Doorbell with two way talk, you should use the [recommended Reolink configuration](/configuration/camera_specific#reolink-cameras)
 
 As a starting point to check compatibility for your camera, view the list of cameras supported for two-way talk on the [go2rtc repository](https://github.com/AlexxIT/go2rtc?tab=readme-ov-file#two-way-audio). For cameras in the category `ONVIF Profile T`, you can use the [ONVIF Conformant Products Database](https://www.onvif.org/conformant-products/)'s FeatureList to check for the presence of `AudioOutput`. A camera that supports `ONVIF Profile T` _usually_ supports this, but due to inconsistent support, a camera that explicitly lists this feature may still not work. If no entry for your camera exists on the database, it is recommended not to buy it or to consult with the manufacturer's support on the feature availability.
 
+To prevent go2rtc from blocking other applications from accessing your camera's two-way audio, you must configure your stream with `#backchannel=0`. See [preventing go2rtc from blocking two-way audio](/configuration/restream#two-way-talk-restream) in the restream documentation.
+
 ### Streaming options on camera group dashboards
 
 Frigate provides a dialog in the Camera Group Edit pane with several options for streaming on a camera group's dashboard. These settings are _per device_ and are saved in your device's local storage.
@@ -214,6 +217,42 @@ For restreamed cameras, go2rtc remains active but does not use system resources
 
 Note that disabling a camera through the config file (`enabled: False`) removes all related UI elements, including historical footage access. To retain access while disabling the camera, keep it enabled in the config and use the UI or MQTT to disable it temporarily.
 
+### Live player error messages
+
+When your browser runs into problems playing back your camera streams, it will log short error messages to the browser console. They indicate playback, codec, or network issues on the client/browser side, not something server side with Frigate itself. Below are the common messages you may see and simple actions you can take to try to resolve them.
+
+- **startup**
+
+  - What it means: The player failed to initialize or connect to the live stream (network or startup error).
+  - What to try: Reload the Live view or click _Reset_. Verify `go2rtc` is running and the camera stream is reachable. Try switching to a different stream from the Live UI dropdown (if available) or use a different browser.
+
+  - Possible console messages from the player code:
+
+    - `Error opening MediaSource.`
+    - `Browser reported a network error.`
+    - `Max error count ${errorCount} exceeded.` (the numeric value will vary)
+
+- **mse-decode**
+
+  - What it means: The browser reported a decoding error while trying to play the stream, which usually is a result of a codec incompatibility or corrupted frames.
+  - What to try: Check the browser console for the supported and negotiated codecs. Ensure your camera/restream is using H.264 video and AAC audio (these are the most compatible). If your camera uses a non-standard audio codec, configure `go2rtc` to transcode the stream to AAC. Try another browser (some browsers have stricter MSE/codec support) and, for iPhone, ensure you're on iOS 17.1 or newer.
+
+  - Possible console messages from the player code:
+
+    - `Safari cannot open MediaSource.`
+    - `Safari reported InvalidStateError.`
+    - `Safari reported decoding errors.`
+
+- **stalled**
+
+  - What it means: Playback has stalled because the player has fallen too far behind live (extended buffering or no data arriving).
+  - What to try: This is usually indicative of the browser struggling to decode too many high-resolution streams at once. Try selecting a lower-bandwidth stream (substream), reduce the number of live streams open, improve the network connection, or lower the camera resolution. Also check your camera's keyframe (I-frame) interval — shorter intervals make playback start and recover faster. You can also try increasing the timeout value in the UI pane of Frigate's settings.
+
+  - Possible console messages from the player code:
+
+    - `Buffer time (10 seconds) exceeded, browser may not be playing media correctly.`
+    - `Media playback has stalled after <n> seconds due to insufficient buffering or a network interruption.` (the seconds value will vary)
+
 ## Live view FAQ
 
 1. **Why don't I have audio in my Live view?**
@@ -277,3 +316,38 @@ Note that disabling a camera through the config file (`enabled: False`) removes
 7. **My camera streams have lots of visual artifacts / distortion.**
 
    Some cameras don't include the hardware to support multiple connections to the high resolution stream, and this can cause unexpected behavior. In this case it is recommended to [restream](./restream.md) the high resolution stream so that it can be used for live view and recordings.
+
+8. **Why does my camera stream switch aspect ratios on the Live dashboard?**
+
+   Your camera may change aspect ratios on the dashboard because Frigate uses different streams for different purposes. With go2rtc and Smart Streaming, Frigate shows a static image from the `detect` stream when no activity is present, and switches to the live stream when motion is detected. The camera image will change size if your streams use different aspect ratios.
+
+   To prevent this, make the `detect` stream match the go2rtc live stream's aspect ratio (resolution does not need to match, just the aspect ratio). You can either adjust the camera's output resolution or set the `width` and `height` values in your config's `detect` section to a resolution with an aspect ratio that matches.
+
+   Example: Resolutions from two streams
+
+   - Mismatched (may cause aspect ratio switching on the dashboard):
+
+     - Live/go2rtc stream: 1920x1080 (16:9)
+     - Detect stream: 640x352 (~1.82:1, not 16:9)
+
+   - Matched (prevents switching):
+     - Live/go2rtc stream: 1920x1080 (16:9)
+     - Detect stream: 640x360 (16:9)
+
+   You can update the detect settings in your camera config to match the aspect ratio of your go2rtc live stream. For example:
+
+   ```yaml
+   cameras:
+     front_door:
+       detect:
+         width: 640
+         height: 360 # set this to 360 instead of 352
+       ffmpeg:
+         inputs:
+           - path: rtsp://127.0.0.1:8554/front_door # main stream 1920x1080
+             roles:
+               - record
+           - path: rtsp://127.0.0.1:8554/front_door_sub # sub stream 640x352
+             roles:
+               - detect
+   ```
diff --git a/docs/docs/configuration/masks.md b/docs/docs/configuration/masks.md
index 4b57be964..4a4722586 100644
--- a/docs/docs/configuration/masks.md
+++ b/docs/docs/configuration/masks.md
@@ -28,7 +28,6 @@ To create a poly mask:
 5. Click the plus icon under the type of mask or zone you would like to create
 6. Click on the camera's latest image to create the points for a masked area. Click the first point again to close the polygon.
 7. When you've finished creating your mask, press Save.
-8. Restart Frigate to apply your changes.
 
 Your config file will be updated with the relative coordinates of the mask/zone:
 
diff --git a/docs/docs/configuration/object_detectors.md b/docs/docs/configuration/object_detectors.md
index e352a6a9a..d4a7f5566 100644
--- a/docs/docs/configuration/object_detectors.md
+++ b/docs/docs/configuration/object_detectors.md
@@ -3,6 +3,8 @@ id: object_detectors
 title: Object Detectors
 ---
 
+import CommunityBadge from '@site/src/components/CommunityBadge';
+
 # Supported Hardware
 
 :::info
@@ -11,10 +13,10 @@ Frigate supports multiple different detectors that work on different types of ha
 
 **Most Hardware**
 
-- [Coral EdgeTPU](#edge-tpu-detector): The Google Coral EdgeTPU is available in USB and m.2 format allowing for a wide range of compatibility with devices.
+- [Coral EdgeTPU](#edge-tpu-detector): The Google Coral EdgeTPU is available in USB, Mini PCIe, and m.2 formats allowing for a wide range of compatibility with devices.
 - [Hailo](#hailo-8): The Hailo8 and Hailo8L AI Acceleration module is available in m.2 format with a HAT for RPi devices, offering a wide range of compatibility with devices.
-- [MemryX](#memryx-mx3): The MX3 Acceleration module is available in m.2 format, offering broad compatibility across various platforms.
-- [DeGirum](#degirum): Service for using hardware devices in the cloud or locally. Hardware and models provided on the cloud on [their website](https://hub.degirum.com).
+- <CommunityBadge /> [MemryX](#memryx-mx3): The MX3 Acceleration module is available in m.2 format, offering broad compatibility across various platforms.
+- <CommunityBadge /> [DeGirum](#degirum): Service for using hardware devices in the cloud or locally. Hardware and models provided on the cloud on [their website](https://hub.degirum.com).
 
 **AMD**
 
@@ -34,16 +36,16 @@ Frigate supports multiple different detectors that work on different types of ha
 
 - [ONNX](#onnx): TensorRT will automatically be detected and used as a detector in the `-tensorrt` Frigate image when a supported ONNX model is configured.
 
-**Nvidia Jetson**
+**Nvidia Jetson** <CommunityBadge />
 
 - [TensortRT](#nvidia-tensorrt-detector): TensorRT can run on Jetson devices, using one of many default models.
 - [ONNX](#onnx): TensorRT will automatically be detected and used as a detector in the `-tensorrt-jp6` Frigate image when a supported ONNX model is configured.
 
-**Rockchip**
+**Rockchip** <CommunityBadge />
 
 - [RKNN](#rockchip-platform): RKNN models can run on Rockchip devices with included NPUs.
 
-**Synaptics**
+**Synaptics** <CommunityBadge />
 
 - [Synaptics](#synaptics): synap models can run on Synaptics devices(e.g astra machina) with included NPUs.
 
@@ -67,12 +69,10 @@ Frigate provides the following builtin detector types: `cpu`, `edgetpu`, `hailo8
 
 ## Edge TPU Detector
 
-The Edge TPU detector type runs a TensorFlow Lite model utilizing the Google Coral delegate for hardware acceleration. To configure an Edge TPU detector, set the `"type"` attribute to `"edgetpu"`.
+The Edge TPU detector type runs TensorFlow Lite models utilizing the Google Coral delegate for hardware acceleration. To configure an Edge TPU detector, set the `"type"` attribute to `"edgetpu"`.
 
 The Edge TPU device can be specified using the `"device"` attribute according to the [Documentation for the TensorFlow Lite Python API](https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api). If not set, the delegate will use the first device it finds.
 
-A TensorFlow Lite model is provided in the container at `/edgetpu_model.tflite` and is used by this detector type by default. To provide your own model, bind mount the file into the container and provide the path with `model.path`.
-
 :::tip
 
 See [common Edge TPU troubleshooting steps](/troubleshooting/edgetpu) if the Edge TPU is not detected.
@@ -144,6 +144,44 @@ detectors:
     device: pci
 ```
 
+### EdgeTPU Supported Models
+
+| Model                   | Notes                                       |
+| ----------------------- | ------------------------------------------- |
+| [Mobiledet](#mobiledet) | Default model                               |
+| [YOLOv9](#yolov9)       | More accurate but slower than default model |
+
+#### Mobiledet
+
+A TensorFlow Lite model is provided in the container at `/edgetpu_model.tflite` and is used by this detector type by default. To provide your own model, bind mount the file into the container and provide the path with `model.path`.
+
+#### YOLOv9
+
+YOLOv9 models that are compiled for TensorFlow Lite and properly quantized are supported, but not included by default. [Download the model](https://github.com/dbro/frigate-detector-edgetpu-yolo9/releases/download/v1.0/yolov9-s-relu6-best_320_int8_edgetpu.tflite), bind mount the file into the container, and provide the path with `model.path`. Note that the linked model requires a 17-label [labelmap file](https://raw.githubusercontent.com/dbro/frigate-detector-edgetpu-yolo9/refs/heads/main/labels-coco17.txt) that includes only 17 COCO classes.
+
+<details>
+  <summary>YOLOv9 Setup & Config</summary>
+
+After placing the downloaded files for the tflite model and labels in your config folder, you can use the following configuration:
+
+```yaml
+detectors:
+  coral:
+    type: edgetpu
+    device: usb
+
+model:
+  model_type: yolo-generic
+  width: 320 # <--- should match the imgsize of the model, typically 320
+  height: 320 # <--- should match the imgsize of the model, typically 320
+  path: /config/model_cache/yolov9-s-relu6-best_320_int8_edgetpu.tflite
+  labelmap_path: /config/labels-coco17.txt
+```
+
+Note that due to hardware limitations of the Coral, the labelmap is a subset of the COCO labels and includes only 17 object classes.
+
+</details>
+
 ---
 
 ## Hailo-8
@@ -253,41 +291,55 @@ Hailo8 supports all models in the Hailo Model Zoo that include HailoRT post-proc
 
 ## OpenVINO Detector
 
-The OpenVINO detector type runs an OpenVINO IR model on AMD and Intel CPUs, Intel GPUs and Intel VPU hardware. To configure an OpenVINO detector, set the `"type"` attribute to `"openvino"`.
+The OpenVINO detector type runs an OpenVINO IR model on AMD and Intel CPUs, Intel GPUs and Intel NPUs. To configure an OpenVINO detector, set the `"type"` attribute to `"openvino"`.
 
-The OpenVINO device to be used is specified using the `"device"` attribute according to the naming conventions in the [Device Documentation](https://docs.openvino.ai/2024/openvino-workflow/running-inference/inference-devices-and-modes.html). The most common devices are `CPU` and `GPU`. Currently, there is a known issue with using `AUTO`. For backwards compatibility, Frigate will attempt to use `GPU` if `AUTO` is set in your configuration.
+The OpenVINO device to be used is specified using the `"device"` attribute according to the naming conventions in the [Device Documentation](https://docs.openvino.ai/2025/openvino-workflow/running-inference/inference-devices-and-modes.html). The most common devices are `CPU`, `GPU`, or `NPU`.
 
-OpenVINO is supported on 6th Gen Intel platforms (Skylake) and newer. It will also run on AMD CPUs despite having no official support for it. A supported Intel platform is required to use the `GPU` device with OpenVINO. For detailed system requirements, see [OpenVINO System Requirements](https://docs.openvino.ai/2024/about-openvino/release-notes-openvino/system-requirements.html)
+OpenVINO is supported on 6th Gen Intel platforms (Skylake) and newer. It will also run on AMD CPUs despite having no official support for it. A supported Intel platform is required to use the `GPU` or `NPU` device with OpenVINO. For detailed system requirements, see [OpenVINO System Requirements](https://docs.openvino.ai/2025/about-openvino/release-notes-openvino/system-requirements.html)
 
 :::tip
 
+**NPU + GPU Systems:** If you have both NPU and GPU available (Intel Core Ultra processors), use NPU for object detection and GPU for enrichments (semantic search, face recognition, etc.) for best performance and compatibility.
+
 When using many cameras one detector may not be enough to keep up. Multiple detectors can be defined assuming GPU resources are available. An example configuration would be:
 
 ```yaml
 detectors:
   ov_0:
     type: openvino
-    device: GPU
+    device: GPU # or NPU
   ov_1:
     type: openvino
-    device: GPU
+    device: GPU # or NPU
 ```
 
 :::
 
 ### OpenVINO Supported Models
 
+| Model                                 | GPU | NPU | Notes                                                        |
+| ------------------------------------- | --- | --- | ------------------------------------------------------------ |
+| [YOLOv9](#yolo-v3-v4-v7-v9)           | ✅  | ✅  | Recommended for GPU & NPU                                    |
+| [RF-DETR](#rf-detr)                   | ✅  | ✅  | Requires XE iGPU or Arc                                      |
+| [YOLO-NAS](#yolo-nas)                 | ✅  | ✅  |                                                              |
+| [MobileNet v2](#ssdlite-mobilenet-v2) | ✅  | ✅  | Fast and lightweight model, less accurate than larger models |
+| [YOLOX](#yolox)                       | ✅  | ?   |                                                              |
+| [D-FINE](#d-fine)                     | ❌  | ❌  |                                                              |
+
 #### SSDLite MobileNet v2
 
 An OpenVINO model is provided in the container at `/openvino-model/ssdlite_mobilenet_v2.xml` and is used by this detector type by default. The model comes from Intel's Open Model Zoo [SSDLite MobileNet V2](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/ssdlite_mobilenet_v2) and is converted to an FP16 precision IR model.
 
+<details>
+  <summary>MobileNet v2 Config</summary>
+
 Use the model configuration shown below when using the OpenVINO detector with the default OpenVINO model:
 
 ```yaml
 detectors:
   ov:
     type: openvino
-    device: GPU
+    device: GPU # Or NPU
 
 model:
   width: 300
@@ -298,6 +350,8 @@ model:
   labelmap_path: /openvino-model/coco_91cl_bkgr.txt
 ```
 
+</details>
+
 #### YOLOX
 
 This detector also supports YOLOX. Frigate does not come with any YOLOX models preloaded, so you will need to supply your own models.
@@ -306,6 +360,9 @@ This detector also supports YOLOX. Frigate does not come with any YOLOX models p
 
 [YOLO-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md) models are supported, but not included by default. See [the models section](#downloading-yolo-nas-model) for more information on downloading the YOLO-NAS model for use in Frigate.
 
+<details>
+  <summary>YOLO-NAS Setup & Config</summary>
+
 After placing the downloaded onnx model in your config folder, you can use the following configuration:
 
 ```yaml
@@ -326,6 +383,8 @@ model:
 
 Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects.
 
+</details>
+
 #### YOLO (v3, v4, v7, v9)
 
 YOLOv3, YOLOv4, YOLOv7, and [YOLOv9](https://github.com/WongKinYiu/yolov9) models are supported, but not included by default.
@@ -336,9 +395,12 @@ The YOLO detector has been designed to support YOLOv3, YOLOv4, YOLOv7, and YOLOv
 
 :::
 
+<details>
+  <summary>YOLOv Setup & Config</summary>
+
 :::warning
 
-If you are using a Frigate+ YOLOv9 model, you should not define any of the below `model` parameters in your config except for `path`. See [the Frigate+ model docs](/plus/first_model#step-3-set-your-model-id-in-the-config) for more information on setting up your model.
+If you are using a Frigate+ model, you should not define any of the below `model` parameters in your config except for `path`. See [the Frigate+ model docs](/plus/first_model#step-3-set-your-model-id-in-the-config) for more information on setting up your model.
 
 :::
 
@@ -348,7 +410,7 @@ After placing the downloaded onnx model in your config folder, you can use the f
 detectors:
   ov:
     type: openvino
-    device: GPU
+    device: GPU # or NPU
 
 model:
   model_type: yolo-generic
@@ -362,6 +424,8 @@ model:
 
 Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects.
 
+</details>
+
 #### RF-DETR
 
 [RF-DETR](https://github.com/roboflow/rf-detr) is a DETR based model. The ONNX exported models are supported, but not included by default. See [the models section](#downloading-rf-detr-model) for more informatoin on downloading the RF-DETR model for use in Frigate.
@@ -372,6 +436,9 @@ Due to the size and complexity of the RF-DETR model, it is only recommended to b
 
 :::
 
+<details>
+  <summary>RF-DETR Setup & Config</summary>
+
 After placing the downloaded onnx model in your `config/model_cache` folder, you can use the following configuration:
 
 ```yaml
@@ -389,6 +456,8 @@ model:
   path: /config/model_cache/rfdetr.onnx
 ```
 
+</details>
+
 #### D-FINE
 
 [D-FINE](https://github.com/Peterande/D-FINE) is a DETR based model. The ONNX exported models are supported, but not included by default. See [the models section](#downloading-d-fine-model) for more information on downloading the D-FINE model for use in Frigate.
@@ -399,13 +468,16 @@ Currently D-FINE models only run on OpenVINO in CPU mode, GPUs currently fail to
 
 :::
 
+<details>
+  <summary>D-FINE Setup & Config</summary>
+
 After placing the downloaded onnx model in your config/model_cache folder, you can use the following configuration:
 
 ```yaml
 detectors:
   ov:
     type: openvino
-    device: GPU
+    device: CPU
 
 model:
   model_type: dfine
@@ -413,15 +485,17 @@ model:
   height: 640
   input_tensor: nchw
   input_dtype: float
-  path: /config/model_cache/dfine_s_obj2coco.onnx
+  path: /config/model_cache/dfine-s.onnx
   labelmap_path: /labelmap/coco-80.txt
 ```
 
 Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects.
 
+</details>
+
 ## Apple Silicon detector
 
-The NPU in Apple Silicon can't be accessed from within a container, so the [Apple Silicon detector client](https://github.com/frigate-nvr/apple-silicon-detector) must first be setup. It is recommended to use the Frigate docker image with `-standard-arm64` suffix, for example  `ghcr.io/blakeblackshear/frigate:stable-standard-arm64`.
+The NPU in Apple Silicon can't be accessed from within a container, so the [Apple Silicon detector client](https://github.com/frigate-nvr/apple-silicon-detector) must first be setup. It is recommended to use the Frigate docker image with `-standard-arm64` suffix, for example `ghcr.io/blakeblackshear/frigate:stable-standard-arm64`.
 
 ### Setup
 
@@ -495,10 +569,10 @@ When using Docker Compose:
 ```yaml
 services:
   frigate:
----
-devices:
-  - /dev/dri
-  - /dev/kfd
+    ...
+    devices:
+      - /dev/dri
+      - /dev/kfd
 ```
 
 For reference on recommended settings see [running ROCm/pytorch in Docker](https://rocm.docs.amd.com/projects/install-on-linux/en/develop/how-to/3rd-party/pytorch-install.html#using-docker-with-pytorch-pre-installed).
@@ -526,9 +600,9 @@ When using Docker Compose:
 ```yaml
 services:
   frigate:
-
-environment:
-  HSA_OVERRIDE_GFX_VERSION: "10.0.0"
+    ...
+    environment:
+      HSA_OVERRIDE_GFX_VERSION: "10.0.0"
 ```
 
 Figuring out what version you need can be complicated as you can't tell the chipset name and driver from the AMD brand name.
@@ -609,12 +683,23 @@ detectors:
 
 ### ONNX Supported Models
 
+| Model                         | Nvidia GPU | AMD GPU | Notes                                               |
+| ----------------------------- | ---------- | ------- | --------------------------------------------------- |
+| [YOLOv9](#yolo-v3-v4-v7-v9-2) | ✅         | ✅      | Supports CUDA Graphs for optimal Nvidia performance |
+| [RF-DETR](#rf-detr)           | ✅         | ❌      | Supports CUDA Graphs for optimal Nvidia performance |
+| [YOLO-NAS](#yolo-nas-1)       | ⚠️         | ⚠️      | Not supported by CUDA Graphs                        |
+| [YOLOX](#yolox-1)             | ✅         | ✅      | Supports CUDA Graphs for optimal Nvidia performance |
+| [D-FINE](#d-fine)             | ⚠️         | ❌      | Not supported by CUDA Graphs                        |
+
 There is no default model provided, the following formats are supported:
 
 #### YOLO-NAS
 
 [YOLO-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md) models are supported, but not included by default. See [the models section](#downloading-yolo-nas-model) for more information on downloading the YOLO-NAS model for use in Frigate.
 
+<details>
+  <summary>YOLO-NAS Setup & Config</summary>
+
 :::warning
 
 If you are using a Frigate+ YOLO-NAS model, you should not define any of the below `model` parameters in your config except for `path`. See [the Frigate+ model docs](/plus/first_model#step-3-set-your-model-id-in-the-config) for more information on setting up your model.
@@ -638,6 +723,8 @@ model:
   labelmap_path: /labelmap/coco-80.txt
 ```
 
+</details>
+
 #### YOLO (v3, v4, v7, v9)
 
 YOLOv3, YOLOv4, YOLOv7, and [YOLOv9](https://github.com/WongKinYiu/yolov9) models are supported, but not included by default.
@@ -648,9 +735,12 @@ The YOLO detector has been designed to support YOLOv3, YOLOv4, YOLOv7, and YOLOv
 
 :::
 
+<details>
+  <summary>YOLOv Setup & Config</summary>
+
 :::warning
 
-If you are using a Frigate+ YOLOv9 model, you should not define any of the below `model` parameters in your config except for `path`. See [the Frigate+ model docs](/plus/first_model#step-3-set-your-model-id-in-the-config) for more information on setting up your model.
+If you are using a Frigate+ model, you should not define any of the below `model` parameters in your config except for `path`. See [the Frigate+ model docs](/plus/first_model#step-3-set-your-model-id-in-the-config) for more information on setting up your model.
 
 :::
 
@@ -671,12 +761,17 @@ model:
   labelmap_path: /labelmap/coco-80.txt
 ```
 
+</details>
+
 Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects.
 
 #### YOLOx
 
 [YOLOx](https://github.com/Megvii-BaseDetection/YOLOX) models are supported, but not included by default. See [the models section](#downloading-yolo-models) for more information on downloading the YOLOx model for use in Frigate.
 
+<details>
+  <summary>YOLOx Setup & Config</summary>
+
 After placing the downloaded onnx model in your config folder, you can use the following configuration:
 
 ```yaml
@@ -696,10 +791,15 @@ model:
 
 Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects.
 
+</details>
+
 #### RF-DETR
 
 [RF-DETR](https://github.com/roboflow/rf-detr) is a DETR based model. The ONNX exported models are supported, but not included by default. See [the models section](#downloading-rf-detr-model) for more information on downloading the RF-DETR model for use in Frigate.
 
+<details>
+  <summary>RF-DETR Setup & Config</summary>
+
 After placing the downloaded onnx model in your `config/model_cache` folder, you can use the following configuration:
 
 ```yaml
@@ -716,10 +816,15 @@ model:
   path: /config/model_cache/rfdetr.onnx
 ```
 
+</details>
+
 #### D-FINE
 
 [D-FINE](https://github.com/Peterande/D-FINE) is a DETR based model. The ONNX exported models are supported, but not included by default. See [the models section](#downloading-d-fine-model) for more information on downloading the D-FINE model for use in Frigate.
 
+<details>
+  <summary>D-FINE Setup & Config</summary>
+
 After placing the downloaded onnx model in your `config/model_cache` folder, you can use the following configuration:
 
 ```yaml
@@ -737,6 +842,8 @@ model:
   labelmap_path: /labelmap/coco-80.txt
 ```
 
+</details>
+
 Note that the labelmap uses a subset of the complete COCO label set that has only 80 objects.
 
 ## CPU Detector (not recommended)
@@ -856,16 +963,16 @@ detectors:
 
 model:
   model_type: yolonas
-  width: 320   # (Can be set to 640 for higher resolution)
-  height: 320  # (Can be set to 640 for higher resolution)
+  width: 320 # (Can be set to 640 for higher resolution)
+  height: 320 # (Can be set to 640 for higher resolution)
   input_tensor: nchw
   input_dtype: float
   labelmap_path: /labelmap/coco-80.txt
   # Optional: The model is normally fetched through the runtime, so 'path' can be omitted unless you want to use a custom or local model.
   # path: /config/yolonas.zip
-          # The .zip file must contain:
-          # ├── yolonas.dfp          (a file ending with .dfp)
-          # └── yolonas_post.onnx    (optional; only if the model includes a cropped post-processing network)
+  # The .zip file must contain:
+  # ├── yolonas.dfp          (a file ending with .dfp)
+  # └── yolonas_post.onnx    (optional; only if the model includes a cropped post-processing network)
 ```
 
 #### YOLOv9
@@ -884,16 +991,15 @@ detectors:
 
 model:
   model_type: yolo-generic
-  width: 320   # (Can be set to 640 for higher resolution)
-  height: 320  # (Can be set to 640 for higher resolution)
+  width: 320 # (Can be set to 640 for higher resolution)
+  height: 320 # (Can be set to 640 for higher resolution)
   input_tensor: nchw
   input_dtype: float
   labelmap_path: /labelmap/coco-80.txt
   # Optional: The model is normally fetched through the runtime, so 'path' can be omitted unless you want to use a custom or local model.
   # path: /config/yolov9.zip
-          # The .zip file must contain:
-          # ├── yolov9.dfp          (a file ending with .dfp)
-          # └── yolov9_post.onnx    (optional; only if the model includes a cropped post-processing network)
+  # The .zip file must contain:
+  # ├── yolov9.dfp          (a file ending with .dfp)
 ```
 
 #### YOLOX
@@ -919,8 +1025,8 @@ model:
   labelmap_path: /labelmap/coco-80.txt
   # Optional: The model is normally fetched through the runtime, so 'path' can be omitted unless you want to use a custom or local model.
   # path: /config/yolox.zip
-          # The .zip file must contain:
-          # ├── yolox.dfp          (a file ending with .dfp)
+  # The .zip file must contain:
+  # ├── yolox.dfp          (a file ending with .dfp)
 ```
 
 #### SSDLite MobileNet v2
@@ -946,9 +1052,9 @@ model:
   labelmap_path: /labelmap/coco-80.txt
   # Optional: The model is normally fetched through the runtime, so 'path' can be omitted unless you want to use a custom or local model.
   # path: /config/ssdlite_mobilenet.zip
-          # The .zip file must contain:
-          # ├── ssdlite_mobilenet.dfp          (a file ending with .dfp)
-          # └── ssdlite_mobilenet_post.onnx    (optional; only if the model includes a cropped post-processing network)
+  # The .zip file must contain:
+  # ├── ssdlite_mobilenet.dfp          (a file ending with .dfp)
+  # └── ssdlite_mobilenet_post.onnx    (optional; only if the model includes a cropped post-processing network)
 ```
 
 #### Using a Custom Model
@@ -968,18 +1074,19 @@ To use your own model:
 For detailed instructions on compiling models, refer to the [MemryX Compiler](https://developer.memryx.com/tools/neural_compiler.html#usage) docs and [Tutorials](https://developer.memryx.com/tutorials/tutorials.html).
 
 ```yaml
-  # The detector automatically selects the default model if nothing is provided in the config.
-  #
-  # Optionally, you can specify a local model path as a .zip file to override the default.
-  # If a local path is provided and the file exists, it will be used instead of downloading.
-  #
-  # Example:
-  # path: /config/yolonas.zip
-  #
-  # The .zip file must contain:
-  # ├── yolonas.dfp          (a file ending with .dfp)
-  # └── yolonas_post.onnx    (optional; only if the model includes a cropped post-processing network)
+# The detector automatically selects the default model if nothing is provided in the config.
+#
+# Optionally, you can specify a local model path as a .zip file to override the default.
+# If a local path is provided and the file exists, it will be used instead of downloading.
+#
+# Example:
+# path: /config/yolonas.zip
+#
+# The .zip file must contain:
+# ├── yolonas.dfp          (a file ending with .dfp)
+# └── yolonas_post.onnx    (optional; only if the model includes a cropped post-processing network)
 ```
+
 ---
 
 ## NVidia TensorRT Detector
@@ -1087,16 +1194,16 @@ A synap model is provided in the container at /mobilenet.synap and is used by th
 Use the model configuration shown below when using the synaptics detector with the default synap model:
 
 ```yaml
-detectors:  # required
-  synap_npu:  # required
-    type: synaptics  # required
+detectors: # required
+  synap_npu: # required
+    type: synaptics # required
 
-model:  # required
-  path: /synaptics/mobilenet.synap  # required
-  width: 224  # required
-  height: 224  # required
-  tensor_format: nhwc  # default value (optional. If you change the model, it is required)
-  labelmap_path: /labelmap/coco-80.txt  # required
+model: # required
+  path: /synaptics/mobilenet.synap # required
+  width: 224 # required
+  height: 224 # required
+  tensor_format: nhwc # default value (optional. If you change the model, it is required)
+  labelmap_path: /labelmap/coco-80.txt # required
 ```
 
 ## Rockchip platform
@@ -1270,97 +1377,101 @@ Explanation of the paramters:
 
 ## DeGirum
 
-DeGirum is a detector that can use any type of hardware listed on [their website](https://hub.degirum.com). DeGirum can be used with local hardware through a DeGirum AI Server, or through the use of `@local`. You can also connect directly to DeGirum's AI Hub to run inferences. **Please Note:** This detector *cannot* be used for commercial purposes.
+DeGirum is a detector that can use any type of hardware listed on [their website](https://hub.degirum.com). DeGirum can be used with local hardware through a DeGirum AI Server, or through the use of `@local`. You can also connect directly to DeGirum's AI Hub to run inferences. **Please Note:** This detector _cannot_ be used for commercial purposes.
 
 ### Configuration
 
 #### AI Server Inference
 
 Before starting with the config file for this section, you must first launch an AI server. DeGirum has an AI server ready to use as a docker container. Add this to your `docker-compose.yml` to get started:
+
 ```yaml
 degirum_detector:
-    container_name: degirum
-    image: degirum/aiserver:latest
-    privileged: true
-    ports:
-      - "8778:8778"
+  container_name: degirum
+  image: degirum/aiserver:latest
+  privileged: true
+  ports:
+    - "8778:8778"
 ```
+
 All supported hardware will automatically be found on your AI server host as long as relevant runtimes and drivers are properly installed on your machine. Refer to [DeGirum's docs site](https://docs.degirum.com/pysdk/runtimes-and-drivers) if you have any trouble.
 
 Once completed, changing the `config.yml` file is simple.
+
 ```yaml
 degirum_detector:
-    type: degirum
-    location: degirum # Set to service name (degirum_detector), container_name (degirum), or a host:port (192.168.29.4:8778)
-    zoo: degirum/public # DeGirum's public model zoo. Zoo name should be in format "workspace/zoo_name". degirum/public is available to everyone, so feel free to use it if you don't know where to start. If you aren't pulling a model from the AI Hub, leave this and 'token' blank.
-    token: dg_example_token # For authentication with the AI Hub. Get this token through the "tokens" section on the main page of the [AI Hub](https://hub.degirum.com). This can be left blank if you're pulling a model from the public zoo and running inferences on your local hardware using @local or a local DeGirum AI Server
-```
-Setting up a model in the `config.yml` is similar to setting up an AI server.
-You can set it to:
-- A model listed on the [AI Hub](https://hub.degirum.com), given that the correct zoo name is listed in your detector
-    - If this is what you choose to do, the correct model will be downloaded onto your machine before running.
-- A local directory acting as a zoo. See DeGirum's docs site [for more information](https://docs.degirum.com/pysdk/user-guide-pysdk/organizing-models#model-zoo-directory-structure).
-- A path to some model.json.
-```yaml
-model:
-    path: ./mobilenet_v2_ssd_coco--300x300_quant_n2x_orca1_1 # directory to model .json and file
-    width: 300 # width is in the model name as the first number in the "int"x"int" section
-    height: 300 # height is in the model name as the second number in the "int"x"int" section
-    input_pixel_format: rgb/bgr # look at the model.json to figure out which to put here
+  type: degirum
+  location: degirum # Set to service name (degirum_detector), container_name (degirum), or a host:port (192.168.29.4:8778)
+  zoo: degirum/public # DeGirum's public model zoo. Zoo name should be in format "workspace/zoo_name". degirum/public is available to everyone, so feel free to use it if you don't know where to start. If you aren't pulling a model from the AI Hub, leave this and 'token' blank.
+  token: dg_example_token # For authentication with the AI Hub. Get this token through the "tokens" section on the main page of the [AI Hub](https://hub.degirum.com). This can be left blank if you're pulling a model from the public zoo and running inferences on your local hardware using @local or a local DeGirum AI Server
 ```
 
+Setting up a model in the `config.yml` is similar to setting up an AI server.
+You can set it to:
+
+- A model listed on the [AI Hub](https://hub.degirum.com), given that the correct zoo name is listed in your detector
+  - If this is what you choose to do, the correct model will be downloaded onto your machine before running.
+- A local directory acting as a zoo. See DeGirum's docs site [for more information](https://docs.degirum.com/pysdk/user-guide-pysdk/organizing-models#model-zoo-directory-structure).
+- A path to some model.json.
+
+```yaml
+model:
+  path: ./mobilenet_v2_ssd_coco--300x300_quant_n2x_orca1_1 # directory to model .json and file
+  width: 300 # width is in the model name as the first number in the "int"x"int" section
+  height: 300 # height is in the model name as the second number in the "int"x"int" section
+  input_pixel_format: rgb/bgr # look at the model.json to figure out which to put here
+```
 
 #### Local Inference
 
 It is also possible to eliminate the need for an AI server and run the hardware directly. The benefit of this approach is that you eliminate any bottlenecks that occur when transferring prediction results from the AI server docker container to the frigate one. However, the method of implementing local inference is different for every device and hardware combination, so it's usually more trouble than it's worth. A general guideline to achieve this would be:
+
 1. Ensuring that the frigate docker container has the runtime you want to use. So for instance, running `@local` for Hailo means making sure the container you're using has the Hailo runtime installed.
 2. To double check the runtime is detected by the DeGirum detector, make sure the `degirum sys-info` command properly shows whatever runtimes you mean to install.
 3. Create a DeGirum detector in your `config.yml` file.
 
 ```yaml
 degirum_detector:
-    type: degirum
-    location: "@local" # For accessing AI Hub devices and models
-    zoo: degirum/public # DeGirum's public model zoo. Zoo name should be in format "workspace/zoo_name". degirum/public is available to everyone, so feel free to use it if you don't know where to start.
-    token: dg_example_token # For authentication with the AI Hub. Get this token through the "tokens" section on the main page of the [AI Hub](https://hub.degirum.com). This can be left blank if you're pulling a model from the public zoo and running inferences on your local hardware using @local or a local DeGirum AI Server
-
+  type: degirum
+  location: "@local" # For accessing AI Hub devices and models
+  zoo: degirum/public # DeGirum's public model zoo. Zoo name should be in format "workspace/zoo_name". degirum/public is available to everyone, so feel free to use it if you don't know where to start.
+  token: dg_example_token # For authentication with the AI Hub. Get this token through the "tokens" section on the main page of the [AI Hub](https://hub.degirum.com). This can be left blank if you're pulling a model from the public zoo and running inferences on your local hardware using @local or a local DeGirum AI Server
 ```
 
 Once `degirum_detector` is setup, you can choose a model through 'model' section in the `config.yml` file.
 
 ```yaml
 model:
-    path: mobilenet_v2_ssd_coco--300x300_quant_n2x_orca1_1
-    width: 300 # width is in the model name as the first number in the "int"x"int" section
-    height: 300 # height is in the model name as the second number in the "int"x"int" section
-    input_pixel_format: rgb/bgr # look at the model.json to figure out which to put here
+  path: mobilenet_v2_ssd_coco--300x300_quant_n2x_orca1_1
+  width: 300 # width is in the model name as the first number in the "int"x"int" section
+  height: 300 # height is in the model name as the second number in the "int"x"int" section
+  input_pixel_format: rgb/bgr # look at the model.json to figure out which to put here
 ```
 
-
 #### AI Hub Cloud Inference
 
 If you do not possess whatever hardware you want to run, there's also the option to run cloud inferences. Do note that your detection fps might need to be lowered as network latency does significantly slow down this method of detection. For use with Frigate, we highly recommend using a local AI server as described above. To set up cloud inferences,
+
 1. Sign up at [DeGirum's AI Hub](https://hub.degirum.com).
 2. Get an access token.
 3. Create a DeGirum detector in your `config.yml` file.
 
 ```yaml
 degirum_detector:
-    type: degirum
-    location: "@cloud" # For accessing AI Hub devices and models
-    zoo: degirum/public # DeGirum's public model zoo. Zoo name should be in format "workspace/zoo_name". degirum/public is available to everyone, so feel free to use it if you don't know where to start.
-    token: dg_example_token # For authentication with the AI Hub. Get this token through the "tokens" section on the main page of the (AI Hub)[https://hub.degirum.com).
-
+  type: degirum
+  location: "@cloud" # For accessing AI Hub devices and models
+  zoo: degirum/public # DeGirum's public model zoo. Zoo name should be in format "workspace/zoo_name". degirum/public is available to everyone, so feel free to use it if you don't know where to start.
+  token: dg_example_token # For authentication with the AI Hub. Get this token through the "tokens" section on the main page of the (AI Hub)[https://hub.degirum.com).
 ```
 
 Once `degirum_detector` is setup, you can choose a model through 'model' section in the `config.yml` file.
 
 ```yaml
 model:
-    path: mobilenet_v2_ssd_coco--300x300_quant_n2x_orca1_1
-    width: 300 # width is in the model name as the first number in the "int"x"int" section
-    height: 300 # height is in the model name as the second number in the "int"x"int" section
-    input_pixel_format: rgb/bgr # look at the model.json to figure out which to put here
+  path: mobilenet_v2_ssd_coco--300x300_quant_n2x_orca1_1
+  width: 300 # width is in the model name as the first number in the "int"x"int" section
+  height: 300 # height is in the model name as the second number in the "int"x"int" section
+  input_pixel_format: rgb/bgr # look at the model.json to figure out which to put here
 ```
 
 # Models
@@ -1383,7 +1494,7 @@ COPY --from=ghcr.io/astral-sh/uv:0.8.0 /uv /bin/
 WORKDIR /dfine
 RUN git clone https://github.com/Peterande/D-FINE.git .
 RUN uv pip install --system -r requirements.txt
-RUN uv pip install --system onnx onnxruntime onnxsim
+RUN uv pip install --system onnx onnxruntime onnxsim onnxscript
 # Create output directory and download checkpoint
 RUN mkdir -p output
 ARG MODEL_SIZE
@@ -1397,19 +1508,19 @@ COPY --from=build /dfine/output/dfine_${MODEL_SIZE}_obj2coco.onnx /dfine-${MODEL
 EOF
 ```
 
-### Download RF-DETR Model
+### Downloading RF-DETR Model
 
 RF-DETR can be exported as ONNX by running the command below. You can copy and paste the whole thing to your terminal and execute, altering `MODEL_SIZE=Nano` in the first line to `Nano`, `Small`, or `Medium` size.
 
 ```sh
-docker build . --build-arg MODEL_SIZE=Nano --output . -f- <<'EOF'
+docker build . --build-arg MODEL_SIZE=Nano --rm --output . -f- <<'EOF'
 FROM python:3.11 AS build
 RUN apt-get update && apt-get install --no-install-recommends -y libgl1 && rm -rf /var/lib/apt/lists/*
 COPY --from=ghcr.io/astral-sh/uv:0.8.0 /uv /bin/
 WORKDIR /rfdetr
-RUN uv pip install --system rfdetr onnx onnxruntime onnxsim onnx-graphsurgeon
+RUN uv pip install --system rfdetr[onnxexport] torch==2.8.0 onnx==1.19.1 onnxscript
 ARG MODEL_SIZE
-RUN python3 -c "from rfdetr import RFDETR${MODEL_SIZE}; x = RFDETR${MODEL_SIZE}(resolution=320); x.export()"
+RUN python3 -c "from rfdetr import RFDETR${MODEL_SIZE}; x = RFDETR${MODEL_SIZE}(resolution=320); x.export(simplify=True)"
 FROM scratch
 ARG MODEL_SIZE
 COPY --from=build /rfdetr/output/inference_model.onnx /rfdetr-${MODEL_SIZE}.onnx
@@ -1457,7 +1568,7 @@ COPY --from=ghcr.io/astral-sh/uv:0.8.0 /uv /bin/
 WORKDIR /yolov9
 ADD https://github.com/WongKinYiu/yolov9.git .
 RUN uv pip install --system -r requirements.txt
-RUN uv pip install --system onnx==1.18.0 onnxruntime onnx-simplifier>=0.4.1
+RUN uv pip install --system onnx==1.18.0 onnxruntime onnx-simplifier>=0.4.1 onnxscript
 ARG MODEL_SIZE
 ARG IMG_SIZE
 ADD https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-${MODEL_SIZE}-converted.pt yolov9-${MODEL_SIZE}.pt
diff --git a/docs/docs/configuration/pwa.md b/docs/docs/configuration/pwa.md
index fd1aae554..fbcbdff62 100644
--- a/docs/docs/configuration/pwa.md
+++ b/docs/docs/configuration/pwa.md
@@ -11,7 +11,7 @@ This adds features including the ability to deep link directly into the app.
 
 In order to install Frigate as a PWA, the following requirements must be met:
 
-- Frigate must be accessed via a secure context (localhost, secure https, etc.)
+- Frigate must be accessed via a secure context (localhost, secure https, VPN, etc.)
 - On Android, Firefox, Chrome, Edge, Opera, and Samsung Internet Browser all support installing PWAs.
 - On iOS 16.4 and later, PWAs can be installed from the Share menu in Safari, Chrome, Edge, Firefox, and Orion.
 
@@ -22,3 +22,7 @@ Installation varies slightly based on the device that is being used:
 - Desktop: Use the install button typically found in right edge of the address bar
 - Android: Use the `Install as App` button in the more options menu for Chrome, and the `Add app to Home screen` button for Firefox
 - iOS: Use the `Add to Homescreen` button in the share menu
+
+## Usage
+
+Once setup, the Frigate app can be used wherever it has access to Frigate. This means it can be setup as local-only, VPN-only, or fully accessible depending on your needs.
diff --git a/docs/docs/configuration/record.md b/docs/docs/configuration/record.md
index 2745ef27d..4dfd8b77c 100644
--- a/docs/docs/configuration/record.md
+++ b/docs/docs/configuration/record.md
@@ -25,16 +25,16 @@ record:
   alerts:
     retain:
       days: 30
-      mode: motion
+      mode: all
   detections:
     retain:
       days: 30
-      mode: motion
+      mode: all
 ```
 
 ### Reduced storage: Only saving video when motion is detected
 
-In order to reduce storage requirements, you can adjust your config to only retain video where motion was detected.
+In order to reduce storage requirements, you can adjust your config to only retain video where motion / activity was detected.
 
 ```yaml
 record:
@@ -53,7 +53,7 @@ record:
 
 ### Minimum: Alerts only
 
-If you only want to retain video that occurs during a tracked object, this config will discard video unless an alert is ongoing.
+If you only want to retain video that occurs during activity caused by tracked object(s), this config will discard video unless an alert is ongoing.
 
 ```yaml
 record:
diff --git a/docs/docs/configuration/reference.md b/docs/docs/configuration/reference.md
index 67d2515cb..206d7012e 100644
--- a/docs/docs/configuration/reference.md
+++ b/docs/docs/configuration/reference.md
@@ -123,7 +123,7 @@ auth:
   # Optional: Refresh time in seconds (default: shown below)
   # When the session is going to expire in less time than this setting,
   # it will be refreshed back to the session_length.
-  refresh_time: 43200 # 12 hours
+  refresh_time: 1800 # 30 minutes
   # Optional: Rate limiting for login failures to help prevent brute force
   # login attacks (default: shown below)
   # See the docs for more information on valid values
@@ -240,11 +240,13 @@ birdseye:
     scaling_factor: 2.0
     # Optional: Maximum number of cameras to show at one time, showing the most recent (default: show all cameras)
     max_cameras: 1
+  # Optional: Frames-per-second to re-send the last composed Birdseye frame when idle (no motion or active updates). (default: shown below)
+  idle_heartbeat_fps: 0.0
 
 # Optional: ffmpeg configuration
 # More information about presets at https://docs.frigate.video/configuration/ffmpeg_presets
 ffmpeg:
-  # Optional: ffmpeg binry path (default: shown below)
+  # Optional: ffmpeg binary path (default: shown below)
   # can also be set to `7.0` or `5.0` to specify one of the included versions
   # or can be set to any path that holds `bin/ffmpeg` & `bin/ffprobe`
   path: "default"
@@ -268,6 +270,8 @@ ffmpeg:
   retry_interval: 10
   # Optional: Set tag on HEVC (H.265) recording stream to improve compatibility with Apple players. (default: shown below)
   apple_compatibility: false
+  # Optional: Set the index of the GPU to use for hardware acceleration. (default: shown below)
+  gpu: 0
 
 # Optional: Detect configuration
 # NOTE: Can be overridden at the camera level
@@ -425,6 +429,15 @@ review:
     alerts: True
     # Optional: Enable GenAI review summaries for detections (default: shown below)
     detections: False
+    # Optional: Activity Context Prompt to give context to the GenAI what activity is and is not suspicious.
+    # It is important to be direct and detailed. See documentation for the default prompt structure.
+    activity_context_prompt: """Define what is and is not suspicious
+"""
+    # Optional: Image source for GenAI (default: preview)
+    # Options: "preview" (uses cached preview frames at ~180p) or "recordings" (extracts frames from recordings at 480p)
+    # Using "recordings" provides better image quality but uses more tokens per image.
+    # Frame count is automatically calculated based on context window size, aspect ratio, and image source (capped at 20 frames).
+    image_source: preview
     # Optional: Additional concerns that the GenAI should make note of (default: None)
     additional_concerns:
       - Animals in the garden
@@ -535,7 +548,7 @@ record:
     # Optional: Retention settings for recordings of alerts
     retain:
       # Required: Retention days (default: shown below)
-      days: 14
+      days: 10
       # Optional: Mode for retention. (default: shown below)
       #   all - save all recording segments for alerts regardless of activity
       #   motion - save all recordings segments for alerts with any detected motion
@@ -555,7 +568,7 @@ record:
     # Optional: Retention settings for recordings of detections
     retain:
       # Required: Retention days (default: shown below)
-      days: 14
+      days: 10
       # Optional: Mode for retention. (default: shown below)
       #   all - save all recording segments for detections regardless of activity
       #   motion - save all recordings segments for detections with any detected motion
@@ -572,7 +585,7 @@ record:
 snapshots:
   # Optional: Enable writing jpg snapshot to /media/frigate/clips (default: shown below)
   enabled: False
-  # Optional: save a clean PNG copy of the snapshot image (default: shown below)
+  # Optional: save a clean copy of the snapshot image (default: shown below)
   clean_copy: True
   # Optional: print a timestamp on the snapshots (default: shown below)
   timestamp: False
@@ -626,7 +639,7 @@ face_recognition:
   # Optional: Min face recognitions for the sub label to be applied to the person object (default: shown below)
   min_faces: 1
   # Optional: Number of images of recognized faces to save for training (default: shown below)
-  save_attempts: 100
+  save_attempts: 200
   # Optional: Apply a blur quality filter to adjust confidence based on the blur level of the image (default: shown below)
   blur_confidence_filter: True
   # Optional: Set the model size used face recognition. (default: shown below)
@@ -667,38 +680,77 @@ lpr:
   # Optional: List of regex replacement rules to normalize detected plates (default: shown below)
   replace_rules: {}
 
-# Optional: Configuration for AI generated tracked object descriptions
+# Optional: Configuration for AI / LLM provider
 # WARNING: Depending on the provider, this will send thumbnails over the internet
-# to Google or OpenAI's LLMs to generate descriptions. It can be overridden at
-# the camera level (enabled: False) to enhance privacy for indoor cameras.
+# to Google or OpenAI's LLMs to generate descriptions. GenAI features can be configured at
+# the camera level to enhance privacy for indoor cameras.
 genai:
-  # Optional: Enable AI description generation (default: shown below)
-  enabled: False
-  # Required if enabled: Provider must be one of ollama, gemini, or openai
+  # Required: Provider must be one of ollama, gemini, or openai
   provider: ollama
   # Required if provider is ollama. May also be used for an OpenAI API compatible backend with the openai provider.
   base_url: http://localhost::11434
   # Required if gemini or openai
   api_key: "{FRIGATE_GENAI_API_KEY}"
-  # Required if enabled: The model to use with the provider.
+  # Required: The model to use with the provider.
   model: gemini-1.5-flash
   # Optional additional args to pass to the GenAI Provider (default: None)
   provider_options:
     keep_alive: -1
+  # Optional: Options to pass during inference calls (default: {})
+  runtime_options:
+    temperature: 0.7
 
 # Optional: Configuration for audio transcription
 # NOTE: only the enabled option can be overridden at the camera level
 audio_transcription:
-  # Optional: Enable license plate recognition (default: shown below)
+  # Optional: Enable live and speech event audio transcription (default: shown below)
   enabled: False
-  # Optional: The device to run the models on (default: shown below)
+  # Optional: The device to run the models on for live transcription. (default: shown below)
   device: CPU
-  # Optional: Set the model size used for transcription. (default: shown below)
+  # Optional: Set the model size used for live transcription. (default: shown below)
   model_size: small
   # Optional: Set the language used for transcription translation. (default: shown below)
   # List of language codes: https://github.com/openai/whisper/blob/main/whisper/tokenizer.py#L10
   language: en
 
+# Optional: Configuration for classification models
+classification:
+  # Optional: Configuration for bird classification
+  bird:
+    # Optional: Enable bird classification (default: shown below)
+    enabled: False
+    # Optional: Minimum classification score required to be considered a match (default: shown below)
+    threshold: 0.9
+  custom:
+    # Required: name of the classification model
+    model_name:
+      # Optional: Enable running the model (default: shown below)
+      enabled: True
+      # Optional: Name of classification model (default: shown below)
+      name: None
+      # Optional: Classification score threshold to change the state (default: shown below)
+      threshold: 0.8
+      # Optional: Number of classification attempts to save in the recent classifications tab (default: shown below)
+      # NOTE: Defaults to 200 for object classification and 100 for state classification if not specified
+      save_attempts: None
+      # Optional: Object classification configuration
+      object_config:
+        # Required: Object types to classify
+        objects: [dog]
+        # Optional: Type of classification that is applied (default: shown below)
+        classification_type: sub_label
+      # Optional: State classification configuration
+      state_config:
+        # Required: Cameras to run classification on
+        cameras:
+          camera_name:
+            # Required: Crop of image frame on this camera to run classification on
+            crop: [0, 180, 220, 400]
+        # Optional: If classification should be run when motion is detected in the crop (default: shown below)
+        motion: False
+        # Optional: Interval to run classification on in seconds (default: shown below)
+        interval: None
+
 # Optional: Restream configuration
 # Uses https://github.com/AlexxIT/go2rtc (v1.9.10)
 # NOTE: The default go2rtc API port (1984) must be used,
@@ -799,6 +851,8 @@ cameras:
       # NOTE: This must be different than any camera names, but can match with another zone on another
       #       camera.
       front_steps:
+        # Optional: A friendly name or descriptive text for the zones
+        friendly_name: ""
         # Required: List of x,y coordinates to define the polygon of the zone.
         # NOTE: Presence in a zone is evaluated only based on the bottom center of the objects bounding box.
         coordinates: 0.033,0.306,0.324,0.138,0.439,0.185,0.042,0.428
@@ -860,7 +914,7 @@ cameras:
       user: admin
       # Optional: password for login.
       password: admin
-      # Optional: Skip TLS verification from the ONVIF server (default: shown below)
+      # Optional: Skip TLS verification and disable digest authentication for the ONVIF server (default: shown below)
       tls_insecure: False
       # Optional: Ignores time synchronization mismatches between the camera and the server during authentication.
       # Using NTP on both ends is recommended and this should only be set to True in a "safe" environment due to the security risk it represents.
@@ -918,10 +972,13 @@ cameras:
         type: thumbnail
         # Reference data for matching, either an event ID for `thumbnail` or a text string for `description`. (default: none)
         data: 1751565549.853251-b69j73
-        # Similarity threshold for triggering. (default: none)
-        threshold: 0.7
+        # Similarity threshold for triggering. (default: shown below)
+        threshold: 0.8
         # List of actions to perform when the trigger fires. (default: none)
-        # Available options: `notification` (send a webpush notification)
+        # Available options:
+        # - `notification` (send a webpush notification)
+        # - `sub_label` (add trigger friendly name as a sub label to the triggering tracked object)
+        # - `attribute` (add trigger's name and similarity score as a data attribute to the triggering tracked object)
         actions:
           - notification
 
@@ -948,10 +1005,6 @@ ui:
   #    full: 8:15:22 PM Mountain Standard Time
   # (default: shown below).
   time_style: medium
-  # Optional: Ability to manually override the date / time styling to use strftime format
-  # https://www.gnu.org/software/libc/manual/html_node/Formatting-Calendar-Time.html
-  # possible values are shown above (default: not set)
-  strftime_fmt: "%Y/%m/%d %H:%M"
   # Optional: Set the unit system to either "imperial" or "metric" (default: metric)
   # Used in the UI and in MQTT topics
   unit_system: metric
diff --git a/docs/docs/configuration/restream.md b/docs/docs/configuration/restream.md
index 43c421dd3..ebd506294 100644
--- a/docs/docs/configuration/restream.md
+++ b/docs/docs/configuration/restream.md
@@ -24,6 +24,12 @@ birdseye:
   restream: True
 ```
 
+:::tip
+
+To improve connection speed when using Birdseye via restream you can enable a small idle heartbeat by setting `birdseye.idle_heartbeat_fps` to a low value (e.g. `1–2`). This makes Frigate periodically push the last frame even when no motion is detected, reducing initial connection latency.
+
+:::
+
 ### Securing Restream With Authentication
 
 The go2rtc restream can be secured with RTSP based username / password authentication. Ex:
@@ -154,10 +160,66 @@ go2rtc:
 
 See [this comment](https://github.com/AlexxIT/go2rtc/issues/1217#issuecomment-2242296489) for more information.
 
+## Preventing go2rtc from blocking two-way audio {#two-way-talk-restream}
+
+For cameras that support two-way talk, go2rtc will automatically establish an audio output backchannel when connecting to an RTSP stream. This backchannel blocks access to the camera's audio output for two-way talk functionality, preventing both Frigate and other applications from using it.
+
+To prevent this, you must configure two separate stream instances:
+
+1. One stream instance with `#backchannel=0` for Frigate's viewing, recording, and detection (prevents go2rtc from establishing the blocking backchannel)
+2. A second stream instance without `#backchannel=0` for two-way talk functionality (can be used by Frigate's WebRTC viewer or other applications)
+
+Configuration example:
+
+```yaml
+go2rtc:
+  streams:
+    front_door:
+      - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2#backchannel=0
+    front_door_twoway:
+      - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+```
+
+In this configuration:
+
+- `front_door` stream is used by Frigate for viewing, recording, and detection. The `#backchannel=0` parameter prevents go2rtc from establishing the audio output backchannel, so it won't block two-way talk access.
+- `front_door_twoway` stream is used for two-way talk functionality. This stream can be used by Frigate's WebRTC viewer when two-way talk is enabled, or by other applications (like Home Assistant Advanced Camera Card) that need access to the camera's audio output channel.
+
+## Security: Restricted Stream Sources
+
+For security reasons, the `echo:`, `expr:`, and `exec:` stream sources are disabled by default in go2rtc. These sources allow arbitrary command execution and can pose security risks if misconfigured.
+
+If you attempt to use these sources in your configuration, the streams will be removed and an error message will be printed in the logs.
+
+To enable these sources, you must set the environment variable `GO2RTC_ALLOW_ARBITRARY_EXEC=true`. This can be done in your Docker Compose file or container environment:
+
+```yaml
+environment:
+  - GO2RTC_ALLOW_ARBITRARY_EXEC=true
+```
+
+:::warning
+
+Enabling arbitrary exec sources allows execution of arbitrary commands through go2rtc stream configurations. Only enable this if you understand the security implications and trust all sources of your configuration.
+
+:::
+
 ## Advanced Restream Configurations
 
 The [exec](https://github.com/AlexxIT/go2rtc/tree/v1.9.10#source-exec) source in go2rtc can be used for custom ffmpeg commands. An example is below:
 
+:::warning
+
+The `exec:`, `echo:`, and `expr:` sources are disabled by default for security. You must set `GO2RTC_ALLOW_ARBITRARY_EXEC=true` to use them. See [Security: Restricted Stream Sources](#security-restricted-stream-sources) for more information.
+
+:::
+
+:::warning
+
+The `exec:`, `echo:`, and `expr:` sources are disabled by default for security. You must set `GO2RTC_ALLOW_ARBITRARY_EXEC=true` to use them. See [Security: Restricted Stream Sources](#security-restricted-stream-sources) for more information.
+
+:::
+
 NOTE: The output will need to be passed with two curly braces `{{output}}`
 
 ```yaml
diff --git a/docs/docs/configuration/semantic_search.md b/docs/docs/configuration/semantic_search.md
index 9950a3c8a..91f435ff0 100644
--- a/docs/docs/configuration/semantic_search.md
+++ b/docs/docs/configuration/semantic_search.md
@@ -78,7 +78,7 @@ Switching between V1 and V2 requires reindexing your embeddings. The embeddings
 
 ### GPU Acceleration
 
-The CLIP models are downloaded in ONNX format, and the `large` model can be accelerated using GPU / NPU hardware, when available. This depends on the Docker build that is used. You can also target a specific device in a multi-GPU installation.
+The CLIP models are downloaded in ONNX format, and the `large` model can be accelerated using GPU hardware, when available. This depends on the Docker build that is used. You can also target a specific device in a multi-GPU installation.
 
 ```yaml
 semantic_search:
@@ -90,7 +90,7 @@ semantic_search:
 
 :::info
 
-If the correct build is used for your GPU / NPU and the `large` model is configured, then the GPU / NPU will be detected and used automatically.
+If the correct build is used for your GPU / NPU and the `large` model is configured, then the GPU will be detected and used automatically.
 Specify the `device` option to target a specific GPU in a multi-GPU system (see [onnxruntime's provider options](https://onnxruntime.ai/docs/execution-providers/)).
 If you do not specify a device, the first available GPU will be used.
 
@@ -119,7 +119,7 @@ Semantic Search must be enabled to use Triggers.
 
 ### Configuration
 
-Triggers are defined within the `semantic_search` configuration for each camera in your Frigate configuration file or through the UI. Each trigger consists of a `friendly_name`, a `type` (either `thumbnail` or `description`), a `data` field (the reference image event ID or text), a `threshold` for similarity matching, and a list of `actions` to perform when the trigger fires.
+Triggers are defined within the `semantic_search` configuration for each camera in your Frigate configuration file or through the UI. Each trigger consists of a `friendly_name`, a `type` (either `thumbnail` or `description`), a `data` field (the reference image event ID or text), a `threshold` for similarity matching, and a list of `actions` to perform when the trigger fires - `notification`, `sub_label`, and `attribute`.
 
 Triggers are best configured through the Frigate UI.
 
@@ -128,17 +128,20 @@ Triggers are best configured through the Frigate UI.
 1. Navigate to the **Settings** page and select the **Triggers** tab.
 2. Choose a camera from the dropdown menu to view or manage its triggers.
 3. Click **Add Trigger** to create a new trigger or use the pencil icon to edit an existing one.
-4. In the **Create Trigger** dialog:
-   - Enter a **Name** for the trigger (e.g., "red_car_alert").
+4. In the **Create Trigger** wizard:
+   - Enter a **Name** for the trigger (e.g., "Red Car Alert").
    - Enter a descriptive **Friendly Name** for the trigger (e.g., "Red car on the driveway camera").
    - Select the **Type** (`Thumbnail` or `Description`).
    - For `Thumbnail`, select an image to trigger this action when a similar thumbnail image is detected, based on the threshold.
    - For `Description`, enter text to trigger this action when a similar tracked object description is detected.
    - Set the **Threshold** for similarity matching.
    - Select **Actions** to perform when the trigger fires.
+     If native webpush notifications are enabled, check the `Send Notification` box to send a notification.
+     Check the `Add Sub Label` box to add the trigger's friendly name as a sub label to any triggering tracked objects.
+     Check the `Add Attribute` box to add the trigger's internal ID (e.g., "red_car_alert") to a data attribute on the tracked object that can be processed via the API or MQTT.
 5. Save the trigger to update the configuration and store the embedding in the database.
 
-When a trigger fires, the UI highlights the trigger with a blue outline for 3 seconds for easy identification.
+When a trigger fires, the UI highlights the trigger with a blue dot for 3 seconds for easy identification. Additionally, the UI will show the last date/time and tracked object ID that activated your trigger. The last triggered timestamp is not saved to the database or persisted through restarts of Frigate.
 
 ### Usage and Best Practices
 
diff --git a/docs/docs/configuration/zones.md b/docs/docs/configuration/zones.md
index 025384a8b..c0a11d4f6 100644
--- a/docs/docs/configuration/zones.md
+++ b/docs/docs/configuration/zones.md
@@ -27,6 +27,7 @@ cameras:
           - entire_yard
     zones:
       entire_yard:
+        friendly_name: Entire yard # You can use characters from any language text
         coordinates: ...
 ```
 
@@ -44,8 +45,10 @@ cameras:
           - edge_yard
     zones:
       edge_yard:
+        friendly_name: Edge yard # You can use characters from any language text
         coordinates: ...
       inner_yard:
+        friendly_name: Inner yard # You can use characters from any language text
         coordinates: ...
 ```
 
@@ -59,6 +62,7 @@ cameras:
         - entire_yard
     zones:
       entire_yard:
+        friendly_name: Entire yard
         coordinates: ...
 ```
 
@@ -82,6 +86,7 @@ cameras:
 
 Only car objects can trigger the `front_yard_street` zone and only person can trigger the `entire_yard`. Objects will be tracked for any `person` that enter anywhere in the yard, and for cars only if they enter the street.
 
+
 ### Zone Loitering
 
 Sometimes objects are expected to be passing through a zone, but an object loitering in an area is unexpected. Zones can be configured to have a minimum loitering time after which the object will be considered in the zone.
diff --git a/docs/docs/frigate/camera_setup.md b/docs/docs/frigate/camera_setup.md
index 06d7d3b4a..64c650c13 100644
--- a/docs/docs/frigate/camera_setup.md
+++ b/docs/docs/frigate/camera_setup.md
@@ -11,6 +11,12 @@ Cameras configured to output H.264 video and AAC audio will offer the most compa
 
 - **Stream Viewing**: This stream will be rebroadcast as is to Home Assistant for viewing with the stream component. Setting this resolution too high will use significant bandwidth when viewing streams in Home Assistant, and they may not load reliably over slower connections.
 
+:::tip
+
+For the best experience in Frigate's UI, configure your camera so that the detection and recording streams use the same aspect ratio. For example, if your main stream is 3840x2160 (16:9), set your substream to 640x360 (also 16:9) instead of 640x480 (4:3). While not strictly required, matching aspect ratios helps ensure seamless live stream display and preview/recordings playback.
+
+:::
+
 ### Choosing a detect resolution
 
 The ideal resolution for detection is one where the objects you want to detect fit inside the dimensions of the model used by Frigate (320x320). Frigate does not pass the entire camera frame to object detection. It will crop an area of motion from the full frame and look in that portion of the frame. If the area being inspected is larger than 320x320, Frigate must resize it before running object detection. Higher resolutions do not improve the detection accuracy because the additional detail is lost in the resize. Below you can see a reference for how large a 320x320 area is against common resolutions.
diff --git a/docs/docs/frigate/hardware.md b/docs/docs/frigate/hardware.md
index f06f8ac7d..48ab2c647 100644
--- a/docs/docs/frigate/hardware.md
+++ b/docs/docs/frigate/hardware.md
@@ -3,6 +3,8 @@ id: hardware
 title: Recommended hardware
 ---
 
+import CommunityBadge from '@site/src/components/CommunityBadge';
+
 ## Cameras
 
 Cameras that output H.264 video and AAC audio will offer the most compatibility with all features of Frigate and Home Assistant. It is also helpful if your camera supports multiple substreams to allow different resolutions to be used for detection, streaming, and recordings without re-encoding.
@@ -18,7 +20,7 @@ Here are some of the cameras I recommend:
 - <a href="https://amzn.to/4fwoNWA" target="_blank" rel="nofollow noopener sponsored">Loryta(Dahua) IPC-T549M-ALED-S3</a> (affiliate link)
 - <a href="https://amzn.to/3YXpcMw" target="_blank" rel="nofollow noopener sponsored">Loryta(Dahua) IPC-T54IR-AS</a> (affiliate link)
 - <a href="https://amzn.to/3AvBHoY" target="_blank" rel="nofollow noopener sponsored">Amcrest IP5M-T1179EW-AI-V3</a> (affiliate link)
-- <a href="https://amzn.to/4ltOpaC" target="_blank" rel="nofollow noopener sponsored">HIKVISION DS-2CD2387G2P-LSU/SL ColorVu 8MP Panoramic Turret IP Camera</a> (affiliate link)
+- <a href="https://www.bhphotovideo.com/c/product/1705511-REG/hikvision_colorvu_ds_2cd2387g2p_lsu_sl_8mp_network.html" target="_blank" rel="nofollow noopener">HIKVISION DS-2CD2387G2P-LSU/SL ColorVu 8MP Panoramic Turret IP Camera</a> (affiliate link)
 
 I may earn a small commission for my endorsement, recommendation, testimonial, or link to any products or services from this website.
 
@@ -36,9 +38,11 @@ If the EQ13 is out of stock, the link below may take you to a suggested alternat
 
 :::
 
-| Name                                                                                                          | Coral Inference Speed | Coral Compatibility | Notes                                                                                     |
-| ------------------------------------------------------------------------------------------------------------- | --------------------- | ------------------- | ----------------------------------------------------------------------------------------- |
-| Beelink EQ13 (<a href="https://amzn.to/4jn2qVr" target="_blank" rel="nofollow noopener sponsored">Amazon</a>) | 5-10ms                | USB                 | Dual gigabit NICs for easy isolated camera network. Easily handles several 1080p cameras. |
+| Name                                                                                                          | Capabilities                                                               | Notes                                               |
+| ------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------- | --------------------------------------------------- |
+| Beelink EQ13 (<a href="https://amzn.to/4jn2qVr" target="_blank" rel="nofollow noopener sponsored">Amazon</a>) | Can run object detection on several 1080p cameras with low-medium activity | Dual gigabit NICs for easy isolated camera network. |
+| Intel 1120p ([Amazon](https://www.amazon.com/Beelink-i3-1220P-Computer-Display-Gigabit/dp/B0DDCKT9YP)         | Can handle a large number of 1080p cameras with high activity              |                                                     |
+| Intel 125H ([Amazon](https://www.amazon.com/MINISFORUM-Pro-125H-Barebone-Computer-HDMI2-1/dp/B0FH21FSZM)      | Can handle a significant number of 1080p cameras with high activity        | Includes NPU for more efficient detection in 0.17+  |
 
 ## Detectors
 
@@ -51,15 +55,13 @@ Frigate supports multiple different detectors that work on different types of ha
 **Most Hardware**
 
 - [Hailo](#hailo-8): The Hailo8 and Hailo8L AI Acceleration module is available in m.2 format with a HAT for RPi devices offering a wide range of compatibility with devices.
-
   - [Supports many model architectures](../../configuration/object_detectors#configuration)
   - Runs best with tiny or small size models
 
 - [Google Coral EdgeTPU](#google-coral-tpu): The Google Coral EdgeTPU is available in USB and m.2 format allowing for a wide range of compatibility with devices.
-
   - [Supports primarily ssdlite and mobilenet model architectures](../../configuration/object_detectors#edge-tpu-detector)
 
-- [MemryX](#memryx-mx3): The MX3 M.2 accelerator module is available in m.2 format allowing for a wide range of compatibility with devices.
+- <CommunityBadge /> [MemryX](#memryx-mx3): The MX3 M.2 accelerator module is available in m.2 format allowing for a wide range of compatibility with devices.
   - [Supports many model architectures](../../configuration/object_detectors#memryx-mx3)
   - Runs best with tiny, small, or medium-size models
 
@@ -78,38 +80,31 @@ Frigate supports multiple different detectors that work on different types of ha
 
 **Intel**
 
-- [OpenVino](#openvino---intel): OpenVino can run on Intel Arc GPUs, Intel integrated GPUs, and Intel CPUs to provide efficient object detection.
+- [OpenVino](#openvino---intel): OpenVino can run on Intel Arc GPUs, Intel integrated GPUs, and Intel NPUs to provide efficient object detection.
   - [Supports majority of model architectures](../../configuration/object_detectors#openvino-supported-models)
   - Runs best with tiny, small, or medium models
 
 **Nvidia**
 
-- [TensortRT](#tensorrt---nvidia-gpu): TensorRT can run on Nvidia GPUs and Jetson devices.
+- [TensortRT](#tensorrt---nvidia-gpu): TensorRT can run on Nvidia GPUs to provide efficient object detection.
   - [Supports majority of model architectures via ONNX](../../configuration/object_detectors#onnx-supported-models)
   - Runs well with any size models including large
 
-**Rockchip**
+- <CommunityBadge /> [Jetson](#nvidia-jetson): Jetson devices are supported via the TensorRT or ONNX detectors when running Jetpack 6.
+
+**Rockchip** <CommunityBadge />
 
 - [RKNN](#rockchip-platform): RKNN models can run on Rockchip devices with included NPUs to provide efficient object detection.
   - [Supports limited model architectures](../../configuration/object_detectors#choosing-a-model)
   - Runs best with tiny or small size models
   - Runs efficiently on low power hardware
 
-**Synaptics**
+**Synaptics** <CommunityBadge />
 
 - [Synaptics](#synaptics): synap models can run on Synaptics devices(e.g astra machina) with included NPUs to provide efficient object detection.
 
 :::
 
-### Synaptics
-
-- **Synaptics** Default model is **mobilenet**
-
-| Name             | Synaptics SL1680 Inference Time |
-| ---------------- | ------------------------------- |
-| ssd mobilenet    | ~ 25 ms                         |
-| yolov5m          | ~ 118 ms                        |
-
 ### Hailo-8
 
 Frigate supports both the Hailo-8 and Hailo-8L AI Acceleration Modules on compatible hardware platforms—including the Raspberry Pi 5 with the PCIe hat from the AI kit. The Hailo detector integration in Frigate automatically identifies your hardware type and selects the appropriate default model when a custom model isn’t provided.
@@ -129,10 +124,16 @@ In real-world deployments, even with multiple cameras running concurrently, Frig
 
 ### Google Coral TPU
 
+:::warning
+
+The Coral is no longer recommended for new Frigate installations, except in deployments with particularly low power requirements or hardware incapable of utilizing alternative AI accelerators for object detection. Instead, we suggest using one of the numerous other supported object detectors. Frigate will continue to provide support for the Coral TPU for as long as practicably possible given its still one of the most power-efficient devices for executing object detection models.
+
+:::
+
 Frigate supports both the USB and M.2 versions of the Google Coral.
 
 - The USB version is compatible with the widest variety of hardware and does not require a driver on the host machine. However, it does lack the automatic throttling features of the other versions.
-- The PCIe and M.2 versions require installation of a driver on the host. Follow the instructions for your version from https://coral.ai
+- The PCIe and M.2 versions require installation of a driver on the host. https://github.com/jnicolson/gasket-builder should be used.
 
 A single Coral can handle many cameras using the default model and will be sufficient for the majority of users. You can calculate the maximum performance of your Coral based on the inference speed reported by Frigate. With an inference speed of 10, your Coral will top out at `1000/10=100`, or 100 frames per second. If your detection fps is regularly getting close to that, you should first consider tuning motion masks. If those are already properly configured, a second Coral may be needed.
 
@@ -142,14 +143,13 @@ The OpenVINO detector type is able to run on:
 
 - 6th Gen Intel Platforms and newer that have an iGPU
 - x86 hosts with an Intel Arc GPU
+- Intel NPUs
 - Most modern AMD CPUs (though this is officially not supported by Intel)
 - x86 & Arm64 hosts via CPU (generally not recommended)
 
 :::note
 
-Intel NPUs have seen [limited success in community deployments](https://github.com/blakeblackshear/frigate/discussions/13248#discussioncomment-12347357), although they remain officially unsupported.
-
-In testing, the NPU delivered performance that was only comparable to — or in some cases worse than — the integrated GPU.
+Intel B-series (Battlemage) GPUs are not officially supported with Frigate 0.17, though a user has [provided steps to rebuild the Frigate container](https://github.com/blakeblackshear/frigate/discussions/21257) with support for them.
 
 :::
 
@@ -162,11 +162,12 @@ Inference speeds vary greatly depending on the CPU or GPU used, some known examp
 | Intel HD 530   | 15 - 35 ms                 |                                                   |                           |                        | Can only run one detector instance |
 | Intel HD 620   | 15 - 25 ms                 |                                                   | 320: ~ 35 ms              |                        |                                    |
 | Intel HD 630   | ~ 15 ms                    |                                                   | 320: ~ 30 ms              |                        |                                    |
-| Intel UHD 730  | ~ 10 ms                    |                                                   | 320: ~ 19 ms 640: ~ 54 ms |                        |                                    |
+| Intel UHD 730  | ~ 10 ms                    | t-320: 14ms s-320: 24ms t-640: 34ms s-640: 65ms   | 320: ~ 19 ms 640: ~ 54 ms |                        |                                    |
 | Intel UHD 770  | ~ 15 ms                    | t-320: ~ 16 ms s-320: ~ 20 ms s-640: ~ 40 ms      | 320: ~ 20 ms 640: ~ 46 ms |                        |                                    |
 | Intel N100     | ~ 15 ms                    | s-320: 30 ms                                      | 320: ~ 25 ms              |                        | Can only run one detector instance |
 | Intel N150     | ~ 15 ms                    | t-320: 16 ms s-320: 24 ms                         |                           |                        |                                    |
-| Intel Iris XE  | ~ 10 ms                    | s-320: 12 ms s-640: 30 ms                         | 320: ~ 18 ms 640: ~ 50 ms |                        |                                    |
+| Intel Iris XE  | ~ 10 ms                    | t-320: 6 ms t-640: 14 ms s-320: 8 ms s-640: 16 ms | 320: ~ 10 ms 640: ~ 20 ms | 320-n: 33 ms           |                                    |
+| Intel NPU      | ~ 6 ms                     | s-320: 11 ms s-640: 30 ms                         | 320: ~ 14 ms 640: ~ 34 ms | 320-n: 40 ms           |                                    |
 | Intel Arc A310 | ~ 5 ms                     | t-320: 7 ms t-640: 11 ms s-320: 8 ms s-640: 15 ms | 320: ~ 8 ms 640: ~ 14 ms  |                        |                                    |
 | Intel Arc A380 | ~ 6 ms                     |                                                   | 320: ~ 10 ms 640: ~ 22 ms | 336: 20 ms 448: 27 ms  |                                    |
 | Intel Arc A750 | ~ 4 ms                     |                                                   | 320: ~ 8 ms               |                        |                                    |
@@ -259,7 +260,7 @@ Inference speeds may vary depending on the host platform. The above data was mea
 
 ### Nvidia Jetson
 
-Frigate supports all Jetson boards, from the inexpensive Jetson Nano to the powerful Jetson Orin AGX. It will [make use of the Jetson's hardware media engine](/configuration/hardware_acceleration_video#nvidia-jetson-orin-agx-orin-nx-orin-nano-xavier-agx-xavier-nx-tx2-tx1-nano) when configured with the [appropriate presets](/configuration/ffmpeg_presets#hwaccel-presets), and will make use of the Jetson's GPU and DLA for object detection when configured with the [TensorRT detector](/configuration/object_detectors#nvidia-tensorrt-detector).
+Jetson devices are supported via the TensorRT or ONNX detectors when running Jetpack 6. It will [make use of the Jetson's hardware media engine](/configuration/hardware_acceleration_video#nvidia-jetson-orin-agx-orin-nx-orin-nano-xavier-agx-xavier-nx-tx2-tx1-nano) when configured with the [appropriate presets](/configuration/ffmpeg_presets#hwaccel-presets), and will make use of the Jetson's GPU and DLA for object detection when configured with the [TensorRT detector](/configuration/object_detectors#nvidia-tensorrt-detector).
 
 Inference speed will vary depending on the YOLO model, jetson platform and jetson nvpmodel (GPU/DLA/EMC clock speed). It is typically 20-40 ms for most models. The DLA is more efficient than the GPU, but not faster, so using the DLA will reduce power consumption but will slightly increase inference time.
 
@@ -280,6 +281,15 @@ Frigate supports hardware video processing on all Rockchip boards. However, hard
 
 The inference time of a rk3588 with all 3 cores enabled is typically 25-30 ms for yolo-nas s.
 
+### Synaptics
+
+- **Synaptics** Default model is **mobilenet**
+
+| Name          | Synaptics SL1680 Inference Time |
+| ------------- | ------------------------------- |
+| ssd mobilenet | ~ 25 ms                         |
+| yolov5m       | ~ 118 ms                        |
+
 ## What does Frigate use the CPU for and what does it use a detector for? (ELI5 Version)
 
 This is taken from a [user question on reddit](https://www.reddit.com/r/homeassistant/comments/q8mgau/comment/hgqbxh5/?utm_source=share&utm_medium=web2x&context=3). Modified slightly for clarity.
diff --git a/docs/docs/frigate/installation.md b/docs/docs/frigate/installation.md
index a4fd14d3c..70b4b5bc1 100644
--- a/docs/docs/frigate/installation.md
+++ b/docs/docs/frigate/installation.md
@@ -56,7 +56,7 @@ services:
     volumes:
       - /path/to/your/config:/config
       - /path/to/your/storage:/media/frigate
-      - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
+      - type: tmpfs # Recommended: 1GB of memory
         target: /tmp/cache
         tmpfs:
           size: 1000000000
@@ -94,6 +94,10 @@ $ python -c 'print("{:.2f}MB".format(((1280 * 720 * 1.5 * 20 + 270480) / 1048576
 
 The shm size cannot be set per container for Home Assistant add-ons. However, this is probably not required since by default Home Assistant Supervisor allocates `/dev/shm` with half the size of your total memory. If your machine has 8GB of memory, chances are that Frigate will have access to up to 4GB without any additional configuration.
 
+## Extra Steps for Specific Hardware
+
+The following sections contain additional setup steps that are only required if you are using specific hardware. If you are not using any of these hardware types, you can skip to the [Docker](#docker) installation section.
+
 ### Raspberry Pi 3/4
 
 By default, the Raspberry Pi limits the amount of memory available to the GPU. In order to use ffmpeg hardware acceleration, you must increase the available memory by setting `gpu_mem` to the maximum recommended value in `config.txt` as described in the [official docs](https://www.raspberrypi.org/documentation/computers/config_txt.html#memory-options).
@@ -106,14 +110,107 @@ The Hailo-8 and Hailo-8L AI accelerators are available in both M.2 and HAT form
 
 #### Installation
 
-For Raspberry Pi 5 users with the AI Kit, installation is straightforward. Simply follow this [guide](https://www.raspberrypi.com/documentation/accessories/ai-kit.html#ai-kit-installation) to install the driver and software.
+:::warning
 
-For other installations, follow these steps for installation:
+The Raspberry Pi kernel includes an older version of the Hailo driver that is incompatible with Frigate. You **must** follow the installation steps below to install the correct driver version, and you **must** disable the built-in kernel driver as described in step 1.
 
-1. Install the driver from the [Hailo GitHub repository](https://github.com/hailo-ai/hailort-drivers). A convenient script for Linux is available to clone the repository, build the driver, and install it.
-2. Copy or download [this script](https://github.com/blakeblackshear/frigate/blob/dev/docker/hailo8l/user_installation.sh).
-3. Ensure it has execution permissions with `sudo chmod +x user_installation.sh`
-4. Run the script with `./user_installation.sh`
+:::
+
+1. **Disable the built-in Hailo driver (Raspberry Pi only)**:
+
+   :::note
+
+   If you are **not** using a Raspberry Pi, skip this step and proceed directly to step 2.
+
+   :::
+
+   If you are using a Raspberry Pi, you need to blacklist the built-in kernel Hailo driver to prevent conflicts. First, check if the driver is currently loaded:
+
+   ```bash
+   lsmod | grep hailo
+   ```
+
+   If it shows `hailo_pci`, unload it:
+
+   ```bash
+   sudo rmmod hailo_pci
+   ```
+
+   Now blacklist the driver to prevent it from loading on boot:
+
+   ```bash
+   echo "blacklist hailo_pci" | sudo tee /etc/modprobe.d/blacklist-hailo_pci.conf
+   ```
+
+   Update initramfs to ensure the blacklist takes effect:
+
+   ```bash
+   sudo update-initramfs -u
+   ```
+
+   Reboot your Raspberry Pi:
+
+   ```bash
+   sudo reboot
+   ```
+
+   After rebooting, verify the built-in driver is not loaded:
+
+   ```bash
+   lsmod | grep hailo
+   ```
+
+   This command should return no results. If it still shows `hailo_pci`, the blacklist did not take effect properly and you may need to check for other Hailo packages installed via apt that are loading the driver.
+
+2. **Run the installation script**:
+
+   Download the installation script:
+
+   ```bash
+   wget https://raw.githubusercontent.com/blakeblackshear/frigate/dev/docker/hailo8l/user_installation.sh
+   ```
+
+   Make it executable:
+
+   ```bash
+   sudo chmod +x user_installation.sh
+   ```
+
+   Run the script:
+
+   ```bash
+   ./user_installation.sh
+   ```
+
+   The script will:
+
+   - Install necessary build dependencies
+   - Clone and build the Hailo driver from the official repository
+   - Install the driver
+   - Download and install the required firmware
+   - Set up udev rules
+
+3. **Reboot your system**:
+
+   After the script completes successfully, reboot to load the firmware:
+
+   ```bash
+   sudo reboot
+   ```
+
+4. **Verify the installation**:
+
+   After rebooting, verify that the Hailo device is available:
+
+   ```bash
+   ls -l /dev/hailo0
+   ```
+
+   You should see the device listed. You can also verify the driver is loaded:
+
+   ```bash
+   lsmod | grep hailo_pci
+   ```
 
 #### Setup
 
@@ -132,18 +229,18 @@ If you are using `docker run`, add this option to your command `--device /dev/ha
 
 Finally, configure [hardware object detection](/configuration/object_detectors#hailo-8l) to complete the setup.
 
-### MemryX MX3  
+### MemryX MX3
 
 The MemryX MX3 Accelerator is available in the M.2 2280 form factor (like an NVMe SSD), and supports a variety of configurations:
+
 - x86 (Intel/AMD) PCs
 - Raspberry Pi 5
 - Orange Pi 5 Plus/Max
 - Multi-M.2 PCIe carrier cards
 
-#### Configuration  
+#### Configuration
 
-
-#### Installation  
+#### Installation
 
 To get started with MX3 hardware setup for your system, refer to the [Hardware Setup Guide](https://developer.memryx.com/get_started/hardware_setup.html).
 
@@ -154,9 +251,9 @@ Then follow these steps for installing the correct driver/runtime configuration:
 3. Run the script with `./user_installation.sh`
 4. **Restart your computer** to complete driver installation.
 
-#### Setup  
+#### Setup
 
-To set up Frigate, follow the default installation instructions, for example:   `ghcr.io/blakeblackshear/frigate:stable`
+To set up Frigate, follow the default installation instructions, for example: `ghcr.io/blakeblackshear/frigate:stable`
 
 Next, grant Docker permissions to access your hardware by adding the following lines to your `docker-compose.yml` file:
 
@@ -173,7 +270,7 @@ In your `docker-compose.yml`, also add:
 privileged: true
 
 volumes:
-    /run/mxa_manager:/run/mxa_manager
+  - /run/mxa_manager:/run/mxa_manager
 ```
 
 If you can't use Docker Compose, you can run the container with something similar to this:
@@ -280,7 +377,7 @@ or add these options to your `docker run` command:
 ```
 --device /dev/synap \
 --device /dev/video0 \
---device /dev/video1 
+--device /dev/video1
 ```
 
 #### Configuration
@@ -302,14 +399,15 @@ services:
     shm_size: "512mb" # update for your cameras based on calculation above
     devices:
       - /dev/bus/usb:/dev/bus/usb # Passes the USB Coral, needs to be modified for other versions
-      - /dev/apex_0:/dev/apex_0 # Passes a PCIe Coral, follow driver instructions here https://coral.ai/docs/m2/get-started/#2a-on-linux
+      - /dev/apex_0:/dev/apex_0 # Passes a PCIe Coral, follow driver instructions here https://github.com/jnicolson/gasket-builder
       - /dev/video11:/dev/video11 # For Raspberry Pi 4B
-      - /dev/dri/renderD128:/dev/dri/renderD128 # For intel hwaccel, needs to be updated for your hardware
+      - /dev/dri/renderD128:/dev/dri/renderD128 # AMD / Intel GPU, needs to be updated for your hardware
+      - /dev/accel:/dev/accel # Intel NPU
     volumes:
       - /etc/localtime:/etc/localtime:ro
       - /path/to/your/config:/config
       - /path/to/your/storage:/media/frigate
-      - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
+      - type: tmpfs # Recommended: 1GB of memory
         target: /tmp/cache
         tmpfs:
           size: 1000000000
@@ -367,6 +465,7 @@ There are important limitations in HA OS to be aware of:
 
 - Separate local storage for media is not yet supported by Home Assistant
 - AMD GPUs are not supported because HA OS does not include the mesa driver.
+- Intel NPUs are not supported because HA OS does not include the NPU firmware.
 - Nvidia GPUs are not supported because addons do not support the nvidia runtime.
 
 :::
@@ -410,7 +509,7 @@ To install make sure you have the [community app plugin here](https://forums.unr
 
 ## Proxmox
 
-[According to Proxmox documentation](https://pve.proxmox.com/pve-docs/pve-admin-guide.html#chapter_pct) it is recommended that you run application containers like Frigate inside a Proxmox QEMU VM. This will give you all the advantages of application containerization, while also providing the benefits that VMs offer, such as strong isolation from the host and the ability to live-migrate, which otherwise isn’t possible with containers.
+[According to Proxmox documentation](https://pve.proxmox.com/pve-docs/pve-admin-guide.html#chapter_pct) it is recommended that you run application containers like Frigate inside a Proxmox QEMU VM. This will give you all the advantages of application containerization, while also providing the benefits that VMs offer, such as strong isolation from the host and the ability to live-migrate, which otherwise isn’t possible with containers. Ensure that ballooning is **disabled**, especially if you are passing through a GPU to the VM.
 
 :::warning
 
diff --git a/docs/docs/frigate/updating.md b/docs/docs/frigate/updating.md
index fdfbf906b..61cb80f13 100644
--- a/docs/docs/frigate/updating.md
+++ b/docs/docs/frigate/updating.md
@@ -5,7 +5,7 @@ title: Updating
 
 # Updating Frigate
 
-The current stable version of Frigate is **0.16.1**. The release notes and any breaking changes for this version can be found on the [Frigate GitHub releases page](https://github.com/blakeblackshear/frigate/releases/tag/v0.16.1).
+The current stable version of Frigate is **0.17.0**. The release notes and any breaking changes for this version can be found on the [Frigate GitHub releases page](https://github.com/blakeblackshear/frigate/releases/tag/v0.17.0).
 
 Keeping Frigate up to date ensures you benefit from the latest features, performance improvements, and bug fixes. The update process varies slightly depending on your installation method (Docker, Home Assistant Addon, etc.). Below are instructions for the most common setups.
 
@@ -33,21 +33,21 @@ If you’re running Frigate via Docker (recommended method), follow these steps:
 2. **Update and Pull the Latest Image**:
 
    - If using Docker Compose:
-     - Edit your `docker-compose.yml` file to specify the desired version tag (e.g., `0.16.1` instead of `0.15.2`). For example:
+     - Edit your `docker-compose.yml` file to specify the desired version tag (e.g., `0.17.0` instead of `0.16.3`). For example:
        ```yaml
        services:
          frigate:
-           image: ghcr.io/blakeblackshear/frigate:0.16.1
+           image: ghcr.io/blakeblackshear/frigate:0.17.0
        ```
      - Then pull the image:
        ```bash
-       docker pull ghcr.io/blakeblackshear/frigate:0.16.1
+       docker pull ghcr.io/blakeblackshear/frigate:0.17.0
        ```
      - **Note for `stable` Tag Users**: If your `docker-compose.yml` uses the `stable` tag (e.g., `ghcr.io/blakeblackshear/frigate:stable`), you don’t need to update the tag manually. The `stable` tag always points to the latest stable release after pulling.
    - If using `docker run`:
-     - Pull the image with the appropriate tag (e.g., `0.16.1`, `0.16.1-tensorrt`, or `stable`):
+     - Pull the image with the appropriate tag (e.g., `0.17.0`, `0.17.0-tensorrt`, or `stable`):
        ```bash
-       docker pull ghcr.io/blakeblackshear/frigate:0.16.1
+       docker pull ghcr.io/blakeblackshear/frigate:0.17.0
        ```
 
 3. **Start the Container**:
@@ -105,8 +105,8 @@ If an update causes issues:
 1. Stop Frigate.
 2. Restore your backed-up config file and database.
 3. Revert to the previous image version:
-   - For Docker: Specify an older tag (e.g., `ghcr.io/blakeblackshear/frigate:0.15.2`) in your `docker run` command.
-   - For Docker Compose: Edit your `docker-compose.yml`, specify the older version tag (e.g., `ghcr.io/blakeblackshear/frigate:0.15.2`), and re-run `docker compose up -d`.
+   - For Docker: Specify an older tag (e.g., `ghcr.io/blakeblackshear/frigate:0.16.3`) in your `docker run` command.
+   - For Docker Compose: Edit your `docker-compose.yml`, specify the older version tag (e.g., `ghcr.io/blakeblackshear/frigate:0.16.3`), and re-run `docker compose up -d`.
    - For Home Assistant: Reinstall the previous addon version manually via the repository if needed and restart the addon.
 4. Verify the old version is running again.
 
diff --git a/docs/docs/guides/configuring_go2rtc.md b/docs/docs/guides/configuring_go2rtc.md
index ef2852c01..ca50a90d3 100644
--- a/docs/docs/guides/configuring_go2rtc.md
+++ b/docs/docs/guides/configuring_go2rtc.md
@@ -113,7 +113,8 @@ section.
 
 1. If the stream you added to go2rtc is also used by Frigate for the `record` or `detect` role, you can migrate your config to pull from the RTSP restream to reduce the number of connections to your camera as shown [here](/configuration/restream#reduce-connections-to-camera).
 2. You can [set up WebRTC](/configuration/live#webrtc-extra-configuration) if your camera supports two-way talk. Note that WebRTC only supports specific audio formats and may require opening ports on your router.
+3. If your camera supports two-way talk, you must configure your stream with `#backchannel=0` to prevent go2rtc from blocking other applications from accessing the camera's audio output. See [preventing go2rtc from blocking two-way audio](/configuration/restream#two-way-talk-restream) in the restream documentation.
 
 ## Homekit Configuration
 
-To add camera streams to Homekit Frigate must be configured in docker to use `host` networking mode. Once that is done, you can use the go2rtc WebUI (accessed via port 1984, which is disabled by default) to share export a camera to Homekit. Any changes made will automatically be saved to `/config/go2rtc_homekit.yml`.
\ No newline at end of file
+To add camera streams to Homekit Frigate must be configured in docker to use `host` networking mode. Once that is done, you can use the go2rtc WebUI (accessed via port 1984, which is disabled by default) to share export a camera to Homekit. Any changes made will automatically be saved to `/config/go2rtc_homekit.yml`.
diff --git a/docs/docs/guides/getting_started.md b/docs/docs/guides/getting_started.md
index 89176ad4b..8c90a6f33 100644
--- a/docs/docs/guides/getting_started.md
+++ b/docs/docs/guides/getting_started.md
@@ -134,31 +134,13 @@ Now you should be able to start Frigate by running `docker compose up -d` from w
 
 This section assumes that you already have an environment setup as described in [Installation](../frigate/installation.md). You should also configure your cameras according to the [camera setup guide](/frigate/camera_setup). Pay particular attention to the section on choosing a detect resolution.
 
-### Step 1: Add a detect stream
+### Step 1: Start Frigate
 
-First we will add the detect stream for the camera:
+At this point you should be able to start Frigate and a basic config will be created automatically.
 
-```yaml
-mqtt:
-  enabled: False
+### Step 2: Add a camera
 
-cameras:
-  name_of_your_camera: # <------ Name the camera
-    enabled: True
-    ffmpeg:
-      inputs:
-        - path: rtsp://10.0.10.10:554/rtsp # <----- The stream you want to use for detection
-          roles:
-            - detect
-```
-
-### Step 2: Start Frigate
-
-At this point you should be able to start Frigate and see the video feed in the UI.
-
-If you get an error image from the camera, this means ffmpeg was not able to get the video feed from your camera. Check the logs for error messages from ffmpeg. The default ffmpeg arguments are designed to work with H264 RTSP cameras that support TCP connections.
-
-FFmpeg arguments for other types of cameras can be found [here](../configuration/camera_specific.md).
+You can click the `Add Camera` button to use the camera setup wizard to get your first camera added into Frigate.
 
 ### Step 3: Configure hardware acceleration (recommended)
 
@@ -173,7 +155,7 @@ services:
   frigate:
     ...
     devices:
-      - /dev/dri/renderD128:/dev/dri/renderD128 # for intel hwaccel, needs to be updated for your hardware
+      - /dev/dri/renderD128:/dev/dri/renderD128 # for intel & amd hwaccel, needs to be updated for your hardware
     ...
 ```
 
@@ -202,7 +184,7 @@ services:
     ...
     devices:
       - /dev/bus/usb:/dev/bus/usb # passes the USB Coral, needs to be modified for other versions
-      - /dev/apex_0:/dev/apex_0 # passes a PCIe Coral, follow driver instructions here https://coral.ai/docs/m2/get-started/#2a-on-linux
+      - /dev/apex_0:/dev/apex_0 # passes a PCIe Coral, follow driver instructions here https://github.com/jnicolson/gasket-builder
     ...
 ```
 
diff --git a/docs/docs/integrations/home-assistant.md b/docs/docs/integrations/home-assistant.md
index 169a7ad31..46453b55a 100644
--- a/docs/docs/integrations/home-assistant.md
+++ b/docs/docs/integrations/home-assistant.md
@@ -245,6 +245,12 @@ To load a preview gif of a review item:
 https://HA_URL/api/frigate/notifications/<review-id>/review_preview.gif
 ```
 
+To load the thumbnail of a review item:
+
+```
+https://HA_URL/api/frigate/notifications/<review-id>/<camera>/review_thumbnail.webp
+```
+
 <a name="streams"></a>
 
 ## RTSP stream
diff --git a/docs/docs/integrations/mqtt.md b/docs/docs/integrations/mqtt.md
index 0300e1d49..535e1bb4b 100644
--- a/docs/docs/integrations/mqtt.md
+++ b/docs/docs/integrations/mqtt.md
@@ -159,9 +159,49 @@ Message published for updates to tracked object metadata, for example:
 }
 ```
 
+#### Object Classification Update
+
+Message published when [object classification](/configuration/custom_classification/object_classification) reaches consensus on a classification result.
+
+**Sub label type:**
+
+```json
+{
+  "type": "classification",
+  "id": "1607123955.475377-mxklsc",
+  "camera": "front_door_cam",
+  "timestamp": 1607123958.748393,
+  "model": "person_classifier",
+  "sub_label": "delivery_person",
+  "score": 0.87
+}
+```
+
+**Attribute type:**
+
+```json
+{
+  "type": "classification",
+  "id": "1607123955.475377-mxklsc",
+  "camera": "front_door_cam",
+  "timestamp": 1607123958.748393,
+  "model": "helmet_detector",
+  "attribute": "yes",
+  "score": 0.92
+}
+```
+
 ### `frigate/reviews`
 
-Message published for each changed review item. The first message is published when the `detection` or `alert` is initiated. When additional objects are detected or when a zone change occurs, it will publish a, `update` message with the same id. When the review activity has ended a final `end` message is published.
+Message published for each changed review item. The first message is published when the `detection` or `alert` is initiated.
+
+An `update` with the same ID will be published when:
+
+- The severity changes from `detection` to `alert`
+- Additional objects are detected
+- An object is recognized via face, lpr, etc.
+
+When the review activity has ended a final `end` message is published.
 
 ```json
 {
@@ -240,7 +280,7 @@ Topic with current state of notifications. Published values are `ON` and `OFF`.
 
 ## Frigate Camera Topics
 
-### `frigate/<camera_name>/<role>/status`
+### `frigate/<camera_name>/status/<role>`
 
 Publishes the current health status of each role that is enabled (`audio`, `detect`, `record`). Possible values are:
 
@@ -301,6 +341,11 @@ Publishes transcribed text for audio detected on this camera.
 
 **NOTE:** Requires audio detection and transcription to be enabled
 
+### `frigate/<camera_name>/classification/<model_name>`
+
+Publishes the current state detected by a state classification model for the camera. The topic name includes the model name as configured in your classification settings.
+The published value is the detected state class name (e.g., `open`, `closed`, `on`, `off`). The state is only published when it changes, helping to reduce unnecessary MQTT traffic.
+
 ### `frigate/<camera_name>/enabled/set`
 
 Topic to turn Frigate's processing of a camera on and off. Expected values are `ON` and `OFF`.
diff --git a/docs/docs/integrations/third_party_extensions.md b/docs/docs/integrations/third_party_extensions.md
index adaee2780..c26c8a13a 100644
--- a/docs/docs/integrations/third_party_extensions.md
+++ b/docs/docs/integrations/third_party_extensions.md
@@ -38,3 +38,7 @@ This is a fork (with fixed errors and new features) of [original Double Take](ht
 ## [Periscope](https://github.com/maksz42/periscope)
 
 [Periscope](https://github.com/maksz42/periscope) is a lightweight Android app that turns old devices into live viewers for Frigate. It works on Android 2.2 and above, including Android TV. It supports authentication and HTTPS.
+
+## [Scrypted - Frigate bridge plugin](https://github.com/apocaliss92/scrypted-frigate-bridge)
+
+[Scrypted - Frigate bridge](https://github.com/apocaliss92/scrypted-frigate-bridge) is an plugin that allows to ingest Frigate detections, motion, videoclips on Scrypted as well as provide templates to export rebroadcast configurations on Frigate.
diff --git a/docs/docs/plus/annotating.md b/docs/docs/plus/annotating.md
index 102e4a489..dc8e571be 100644
--- a/docs/docs/plus/annotating.md
+++ b/docs/docs/plus/annotating.md
@@ -42,6 +42,7 @@ Misidentified objects should have a correct label added. For example, if a perso
 | `w`               | Add box                       |
 | `d`               | Toggle difficult              |
 | `s`               | Switch to the next label      |
+| `Shift + s`       | Switch to the previous label  |
 | `tab`             | Select next largest box       |
 | `del`             | Delete current box            |
 | `esc`             | Deselect/Cancel               |
diff --git a/docs/docs/plus/index.md b/docs/docs/plus/index.md
index fa8f86f9c..d75c12f92 100644
--- a/docs/docs/plus/index.md
+++ b/docs/docs/plus/index.md
@@ -15,13 +15,11 @@ There are three model types offered in Frigate+, `mobiledet`, `yolonas`, and `yo
 
 Not all model types are supported by all detectors, so it's important to choose a model type to match your detector as shown in the table under [supported detector types](#supported-detector-types). You can test model types for compatibility and speed on your hardware by using the base models.
 
-| Model Type  | Description                                                                                                                                                                                                                        |
-| ----------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| `mobiledet` | Based on the same architecture as the default model included with Frigate. Runs on Google Coral devices and CPUs.                                                                                                                  |
-| `yolonas`   | A newer architecture that offers slightly higher accuracy and improved detection of small objects. Runs on Intel, NVidia GPUs, and AMD GPUs.                                                                                       |
-| `yolov9`    | A leading SOTA (state of the art) object detection model with similar performance to yolonas, but on a wider range of hardware options. Runs on Intel, NVidia GPUs, AMD GPUs, Hailo, MemryX\*, Apple Silicon\*, and Rockchip NPUs. |
-
-_\* Support coming in 0.17_
+| Model Type  | Description                                                                                                                                                                                                                    |
+| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
+| `mobiledet` | Based on the same architecture as the default model included with Frigate. Runs on Google Coral devices and CPUs.                                                                                                              |
+| `yolonas`   | A newer architecture that offers slightly higher accuracy and improved detection of small objects. Runs on Intel, NVidia GPUs, and AMD GPUs.                                                                                   |
+| `yolov9`    | A leading SOTA (state of the art) object detection model with similar performance to yolonas, but on a wider range of hardware options. Runs on Intel, NVidia GPUs, AMD GPUs, Hailo, MemryX, Apple Silicon, and Rockchip NPUs. |
 
 ### YOLOv9 Details
 
@@ -39,7 +37,7 @@ If you have a Hailo device, you will need to specify the hardware you have when
 
 #### Rockchip (RKNN) Support
 
-For 0.16, YOLOv9 onnx models will need to be manually converted. First, you will need to configure Frigate to use the model id for your YOLOv9 onnx model so it downloads the model to your `model_cache` directory. From there, you can follow the [documentation](/configuration/object_detectors.md#converting-your-own-onnx-model-to-rknn-format) to convert it. Automatic conversion is coming in 0.17.
+For 0.16, YOLOv9 onnx models will need to be manually converted. First, you will need to configure Frigate to use the model id for your YOLOv9 onnx model so it downloads the model to your `model_cache` directory. From there, you can follow the [documentation](/configuration/object_detectors.md#converting-your-own-onnx-model-to-rknn-format) to convert it. Automatic conversion is available in 0.17 and later.
 
 ## Supported detector types
 
@@ -55,7 +53,7 @@ Currently, Frigate+ models support CPU (`cpu`), Google Coral (`edgetpu`), OpenVi
 | [Hailo8/Hailo8L/Hailo8R](/configuration/object_detectors#hailo-8)                | `hailo8l`                 | `yolov9`               |
 | [Rockchip NPU](/configuration/object_detectors#rockchip-platform)\*              | `rknn`                    | `yolov9`               |
 
-_\* Requires manual conversion in 0.16. Automatic conversion coming in 0.17._
+_\* Requires manual conversion in 0.16. Automatic conversion available in 0.17 and later._
 
 ## Improving your model
 
diff --git a/docs/docs/troubleshooting/cpu.md b/docs/docs/troubleshooting/cpu.md
new file mode 100644
index 000000000..a9f449ad8
--- /dev/null
+++ b/docs/docs/troubleshooting/cpu.md
@@ -0,0 +1,73 @@
+---
+id: cpu
+title: High CPU Usage
+---
+
+High CPU usage can impact Frigate's performance and responsiveness. This guide outlines the most effective configuration changes to help reduce CPU consumption and optimize resource usage.
+
+## 1. Hardware Acceleration for Video Decoding
+
+**Priority: Critical**
+
+Video decoding is one of the most CPU-intensive tasks in Frigate. While an AI accelerator handles object detection, it does not assist with decoding video streams. Hardware acceleration (hwaccel) offloads this work to your GPU or specialized video decode hardware, significantly reducing CPU usage and enabling you to support more cameras on the same hardware.
+
+### Key Concepts
+
+**Resolution & FPS Impact:** The decoding burden grows exponentially with resolution and frame rate. A 4K stream at 30 FPS requires roughly 4 times the processing power of a 1080p stream at the same frame rate, and doubling the frame rate doubles the decode workload. This is why hardware acceleration becomes critical when working with multiple high-resolution cameras.
+
+**Hardware Acceleration Benefits:** By using dedicated video decode hardware, you can:
+
+- Significantly reduce CPU usage per camera stream
+- Support 2-3x more cameras on the same hardware
+- Free up CPU resources for motion detection and other Frigate processes
+- Reduce system heat and power consumption
+
+### Configuration
+
+Frigate provides preset configurations for common hardware acceleration scenarios. Set up `hwaccel_args` based on your hardware in your [configuration](../configuration/reference) as described in the [getting started guide](../guides/getting_started).
+
+### Troubleshooting Hardware Acceleration
+
+If hardware acceleration isn't working:
+
+1. Check Frigate logs for FFmpeg errors related to hwaccel
+2. Verify the hardware device is accessible inside the container
+3. Ensure your camera streams use H.264 or H.265 codecs (most common)
+4. Try different presets if the automatic detection fails
+5. Check that your GPU drivers are properly installed on the host system
+
+## 2. Detector Selection and Configuration
+
+**Priority: Critical**
+
+Choosing the right detector for your hardware is the single most important factor for detection performance. The detector is responsible for running the AI model that identifies objects in video frames. Different detector types have vastly different performance characteristics and hardware requirements, as detailed in the [hardware documentation](../frigate/hardware).
+
+### Understanding Detector Performance
+
+Frigate uses motion detection as a first-line check before running expensive object detection, as explained in the [motion detection documentation](../configuration/motion_detection). When motion is detected, Frigate creates a "region" (the green boxes in the debug viewer) and sends it to the detector. The detector's inference speed determines how many detections per second your system can handle.
+
+**Calculating Detector Capacity:** Your detector has a finite capacity measured in detections per second. With an inference speed of 10ms, your detector can handle approximately 100 detections per second (1000ms / 10ms = 100).If your cameras collectively require more than this capacity, you'll experience delays, missed detections, or the system will fall behind.
+
+### Choosing the Right Detector
+
+Different detectors have vastly different performance characteristics, see the expected performance for object detectors in [the hardware docs](../frigate/hardware)
+
+### Multiple Detector Instances
+
+When a single detector cannot keep up with your camera count, some detector types (`openvino`, `onnx`) allow you to define multiple detector instances to share the workload. This is particularly useful with GPU-based detectors that have sufficient VRAM to run multiple inference processes.
+
+For detailed instructions on configuring multiple detectors, see the [Object Detectors documentation](../configuration/object_detectors).
+
+
+**When to add a second detector:**
+
+- Skipped FPS is consistently > 0 even during normal activity
+
+### Model Selection and Optimization
+
+The model you use significantly impacts detector performance. Frigate provides default models optimized for each detector type, but you can customize them as described in the [detector documentation](../configuration/object_detectors).
+
+**Model Size Trade-offs:**
+
+- Smaller models (320x320): Faster inference, Frigate is specifically optimized for a 320x320 size model.
+- Larger models (640x640): Slower inference, can sometimes have higher accuracy on very large objects that take up a majority of the frame.
\ No newline at end of file
diff --git a/docs/docs/troubleshooting/dummy-camera.md b/docs/docs/troubleshooting/dummy-camera.md
new file mode 100644
index 000000000..89495844d
--- /dev/null
+++ b/docs/docs/troubleshooting/dummy-camera.md
@@ -0,0 +1,60 @@
+---
+id: dummy-camera
+title: Analyzing Object Detection
+---
+
+When investigating object detection or tracking problems, it can be helpful to replay an exported video as a temporary "dummy" camera. This lets you reproduce issues locally, iterate on configuration (detections, zones, enrichment settings), and capture logs and clips for analysis.
+
+## When to use
+
+- Replaying an exported clip to reproduce incorrect detections
+- Testing configuration changes (model settings, trackers, filters) against a known clip
+- Gathering deterministic logs and recordings for debugging or issue reports
+
+## Example Config
+
+Place the clip you want to replay in a location accessible to Frigate (for example `/media/frigate/` or the repository `debug/` folder when developing). Then add a temporary camera to your `config/config.yml` like this:
+
+```yaml
+cameras:
+  test:
+    ffmpeg:
+      inputs:
+        - path: /media/frigate/car-stopping.mp4
+          input_args: -re -stream_loop -1 -fflags +genpts
+          roles:
+            - detect
+    detect:
+      enabled: true
+    record:
+      enabled: false
+    snapshots:
+      enabled: false
+```
+
+- `-re -stream_loop -1` tells `ffmpeg` to play the file in realtime and loop indefinitely, which is useful for long debugging sessions.
+- `-fflags +genpts` helps generate presentation timestamps when they are missing in the file.
+
+## Steps
+
+1. Export or copy the clip you want to replay to the Frigate host (e.g., `/media/frigate/` or `debug/clips/`). Depending on what you are looking to debug, it is often helpful to add some "pre-capture" time (where the tracked object is not yet visible) to the clip when exporting.
+2. Add the temporary camera to `config/config.yml` (example above). Use a unique name such as `test` or `replay_camera` so it's easy to remove later.
+   - If you're debugging a specific camera, copy the settings from that camera (frame rate, model/enrichment settings, zones, etc.) into the temporary camera so the replay closely matches the original environment. Leave `record` and `snapshots` disabled unless you are specifically debugging recording or snapshot behavior.
+3. Restart Frigate.
+4. Observe the Debug view in the UI and logs as the clip is replayed. Watch detections, zones, or any feature you're looking to debug, and note any errors in the logs to reproduce the issue.
+5. Iterate on camera or enrichment settings (model, fps, zones, filters) and re-check the replay until the behavior is resolved.
+6. Remove the temporary camera from your config after debugging to avoid spurious telemetry or recordings.
+
+## Variables to consider in object tracking
+
+- The exported video will not always line up exactly with how it originally ran through Frigate (or even with the last loop). Different frames may be used on replay, which can change detections and tracking.
+- Motion detection depends on the frames used; small frame shifts can change motion regions and therefore what gets passed to the detector.
+- Object detection is not deterministic: models and post-processing can yield different results across runs, so you may not get identical detections or track IDs every time.
+
+When debugging, treat the replay as a close approximation rather than a byte-for-byte replay. Capture multiple runs, enable recording if helpful, and examine logs and saved event clips to understand variability.
+
+## Troubleshooting
+
+- No video: verify the path is correct and accessible from the Frigate process/container.
+- FFmpeg errors: check the log output for ffmpeg-specific flags and adjust `input_args` accordingly for your file/container. You may also need to disable hardware acceleration (`hwaccel_args: ""`) for the dummy camera.
+- No detections: confirm the camera `roles` include `detect`, and model/detector configuration is enabled.
diff --git a/docs/docs/troubleshooting/edgetpu.md b/docs/docs/troubleshooting/edgetpu.md
index f5cb3587f..97b2b0040 100644
--- a/docs/docs/troubleshooting/edgetpu.md
+++ b/docs/docs/troubleshooting/edgetpu.md
@@ -1,6 +1,6 @@
 ---
 id: edgetpu
-title: Troubleshooting EdgeTPU
+title: EdgeTPU Errors
 ---
 
 ## USB Coral Not Detected
@@ -68,8 +68,7 @@ The USB Coral can become stuck and need to be restarted, this can happen for a n
 
 The most common reason for the PCIe Coral not being detected is that the driver has not been installed. This process varies based on what OS and kernel that is being run.
 
-- In most cases [the Coral docs](https://coral.ai/docs/m2/get-started/#2-install-the-pcie-driver-and-edge-tpu-runtime) show how to install the driver for the PCIe based Coral.
-- For some newer Linux distros (for example, Ubuntu 22.04+), https://github.com/jnicolson/gasket-builder can be used to build and install the latest version of the driver.
+- In most cases https://github.com/jnicolson/gasket-builder can be used to build and install the latest version of the driver.
 
 ## Attempting to load TPU as pci & Fatal Python error: Illegal instruction
 
diff --git a/docs/docs/troubleshooting/gpu.md b/docs/docs/troubleshooting/gpu.md
index a5b48246a..6399f92d8 100644
--- a/docs/docs/troubleshooting/gpu.md
+++ b/docs/docs/troubleshooting/gpu.md
@@ -1,6 +1,6 @@
 ---
 id: gpu
-title: Troubleshooting GPU
+title: GPU Errors
 ---
 
 ## OpenVINO
diff --git a/docs/docs/troubleshooting/memory.md b/docs/docs/troubleshooting/memory.md
new file mode 100644
index 000000000..d062944e5
--- /dev/null
+++ b/docs/docs/troubleshooting/memory.md
@@ -0,0 +1,134 @@
+---
+id: memory
+title: Memory Usage
+---
+
+Frigate includes built-in memory profiling using [memray](https://bloomberg.github.io/memray/) to help diagnose memory issues. This feature allows you to profile specific Frigate modules to identify memory leaks, excessive allocations, or other memory-related problems.
+
+## Enabling Memory Profiling
+
+Memory profiling is controlled via the `FRIGATE_MEMRAY_MODULES` environment variable. Set it to a comma-separated list of module names you want to profile:
+
+```yaml
+# docker-compose example
+services:
+  frigate:
+    ...
+    environment:
+      - FRIGATE_MEMRAY_MODULES=frigate.embeddings,frigate.capture
+```
+
+```bash
+# docker run example
+docker run -e FRIGATE_MEMRAY_MODULES="frigate.embeddings" \
+   ...
+   --name frigate <frigate_image>
+```
+
+### Module Names
+
+Frigate processes are named using a module-based naming scheme. Common module names include:
+
+- `frigate.review_segment_manager` - Review segment processing
+- `frigate.recording_manager` - Recording management
+- `frigate.capture` - Camera capture processes (all cameras with this module name)
+- `frigate.process` - Camera processing/tracking (all cameras with this module name)
+- `frigate.output` - Output processing
+- `frigate.audio_manager` - Audio processing
+- `frigate.embeddings` - Embeddings processing
+
+You can also specify the full process name (including camera-specific identifiers) if you want to profile a specific camera:
+
+```bash
+FRIGATE_MEMRAY_MODULES=frigate.capture:front_door
+```
+
+When you specify a module name (e.g., `frigate.capture`), all processes with that module prefix will be profiled. For example, `frigate.capture` will profile all camera capture processes.
+
+## How It Works
+
+1. **Binary File Creation**: When profiling is enabled, memray creates a binary file (`.bin`) in `/config/memray_reports/` that is updated continuously in real-time as the process runs.
+
+2. **Automatic HTML Generation**: On normal process exit, Frigate automatically:
+
+   - Stops memray tracking
+   - Generates an HTML flamegraph report
+   - Saves it to `/config/memray_reports/<module_name>.html`
+
+3. **Crash Recovery**: If a process crashes (SIGKILL, segfault, etc.), the binary file is preserved with all data up to the crash point. You can manually generate the HTML report from the binary file.
+
+## Viewing Reports
+
+### Automatic Reports
+
+After a process exits normally, you'll find HTML reports in `/config/memray_reports/`. Open these files in a web browser to view interactive flamegraphs showing memory usage patterns.
+
+### Manual Report Generation
+
+If a process crashes or you want to generate a report from an existing binary file, you can manually create the HTML report:
+
+- Run `memray` inside the Frigate container:
+
+```bash
+docker-compose exec frigate memray flamegraph /config/memray_reports/<module_name>.bin
+# or
+docker exec -it <container_name_or_id> memray flamegraph /config/memray_reports/<module_name>.bin
+```
+
+- You can also copy the `.bin` file to the host and run `memray` locally if you have it installed:
+
+```bash
+docker cp <container_name_or_id>:/config/memray_reports/<module_name>.bin /tmp/
+memray flamegraph /tmp/<module_name>.bin
+```
+
+## Understanding the Reports
+
+Memray flamegraphs show:
+
+- **Memory allocations over time**: See where memory is being allocated in your code
+- **Call stacks**: Understand the full call chain leading to allocations
+- **Memory hotspots**: Identify functions or code paths that allocate the most memory
+- **Memory leaks**: Spot patterns where memory is allocated but not freed
+
+The interactive HTML reports allow you to:
+
+- Zoom into specific time ranges
+- Filter by function names
+- View detailed allocation information
+- Export data for further analysis
+
+## Best Practices
+
+1. **Profile During Issues**: Enable profiling when you're experiencing memory issues, not all the time, as it adds some overhead.
+
+2. **Profile Specific Modules**: Instead of profiling everything, focus on the modules you suspect are causing issues.
+
+3. **Let Processes Run**: Allow processes to run for a meaningful duration to capture representative memory usage patterns.
+
+4. **Check Binary Files**: If HTML reports aren't generated automatically (e.g., after a crash), check for `.bin` files in `/config/memray_reports/` and generate reports manually.
+
+5. **Compare Reports**: Generate reports at different times to compare memory usage patterns and identify trends.
+
+## Troubleshooting
+
+### No Reports Generated
+
+- Check that the environment variable is set correctly
+- Verify the module name matches exactly (case-sensitive)
+- Check logs for memray-related errors
+- Ensure `/config/memray_reports/` directory exists and is writable
+
+### Process Crashed Before Report Generation
+
+- Look for `.bin` files in `/config/memray_reports/`
+- Manually generate HTML reports using: `memray flamegraph <file>.bin`
+- The binary file contains all data up to the crash point
+
+### Reports Show No Data
+
+- Ensure the process ran long enough to generate meaningful data
+- Check that memray is properly installed (included by default in Frigate)
+- Verify the process actually started and ran (check process logs)
+
+For more information about memray and interpreting reports, see the [official memray documentation](https://bloomberg.github.io/memray/).
diff --git a/docs/docs/troubleshooting/recordings.md b/docs/docs/troubleshooting/recordings.md
index d26a3614e..b1f180a82 100644
--- a/docs/docs/troubleshooting/recordings.md
+++ b/docs/docs/troubleshooting/recordings.md
@@ -1,6 +1,6 @@
 ---
 id: recordings
-title: Troubleshooting Recordings
+title: Recordings Errors
 ---
 
 ## I have Frigate configured for motion recording only, but it still seems to be recording even with no motion. Why?
diff --git a/docs/docusaurus.config.ts b/docs/docusaurus.config.ts
index c0295faae..dca948953 100644
--- a/docs/docusaurus.config.ts
+++ b/docs/docusaurus.config.ts
@@ -10,7 +10,7 @@ const config: Config = {
   baseUrl: "/",
   onBrokenLinks: "throw",
   onBrokenMarkdownLinks: "warn",
-  favicon: "img/favicon.ico",
+  favicon: "img/branding/favicon.ico",
   organizationName: "blakeblackshear",
   projectName: "frigate",
   themes: [
@@ -116,8 +116,8 @@ const config: Config = {
       title: "Frigate",
       logo: {
         alt: "Frigate",
-        src: "img/logo.svg",
-        srcDark: "img/logo-dark.svg",
+        src: "img/branding/logo.svg",
+        srcDark: "img/branding/logo-dark.svg",
       },
       items: [
         {
@@ -170,7 +170,7 @@ const config: Config = {
           ],
         },
       ],
-      copyright: `Copyright © ${new Date().getFullYear()} Blake Blackshear`,
+      copyright: `Copyright © ${new Date().getFullYear()} Frigate, Inc.`,
     },
   },
   plugins: [
diff --git a/docs/package-lock.json b/docs/package-lock.json
index 6155625ca..be16754be 100644
--- a/docs/package-lock.json
+++ b/docs/package-lock.json
@@ -9,82 +9,139 @@
       "version": "0.0.0",
       "dependencies": {
         "@docusaurus/core": "^3.7.0",
-        "@docusaurus/plugin-content-docs": "^3.6.3",
+        "@docusaurus/plugin-content-docs": "^3.7.0",
         "@docusaurus/preset-classic": "^3.7.0",
-        "@docusaurus/theme-mermaid": "^3.6.3",
+        "@docusaurus/theme-mermaid": "^3.7.0",
         "@inkeep/docusaurus": "^2.0.16",
         "@mdx-js/react": "^3.1.0",
         "clsx": "^2.1.1",
-        "docusaurus-plugin-openapi-docs": "^4.3.1",
-        "docusaurus-theme-openapi-docs": "^4.3.1",
+        "docusaurus-plugin-openapi-docs": "^4.5.1",
+        "docusaurus-theme-openapi-docs": "^4.5.1",
         "prism-react-renderer": "^2.4.1",
         "raw-loader": "^4.0.2",
         "react": "^18.3.1",
         "react-dom": "^18.3.1"
       },
       "devDependencies": {
-        "@docusaurus/module-type-aliases": "^3.4.0",
-        "@docusaurus/types": "^3.4.0",
-        "@types/react": "^18.3.7"
+        "@docusaurus/module-type-aliases": "^3.7.0",
+        "@docusaurus/types": "^3.7.0",
+        "@types/react": "^18.3.27"
       },
       "engines": {
         "node": ">=18.0"
       }
     },
+    "node_modules/@ai-sdk/gateway": {
+      "version": "2.0.20",
+      "resolved": "https://registry.npmjs.org/@ai-sdk/gateway/-/gateway-2.0.20.tgz",
+      "integrity": "sha512-0DKAZP9SiphUHuT/HmCYrv0uNyHfqn4gT3e5LsL+y1n3mMhWrrKNS2QYn+ysVd7yOmrLyv30gzrCCdbjnN+vtw==",
+      "license": "Apache-2.0",
+      "dependencies": {
+        "@ai-sdk/provider": "2.0.0",
+        "@ai-sdk/provider-utils": "3.0.19",
+        "@vercel/oidc": "3.0.5"
+      },
+      "engines": {
+        "node": ">=18"
+      },
+      "peerDependencies": {
+        "zod": "^3.25.76 || ^4.1.8"
+      }
+    },
+    "node_modules/@ai-sdk/provider": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/@ai-sdk/provider/-/provider-2.0.0.tgz",
+      "integrity": "sha512-6o7Y2SeO9vFKB8lArHXehNuusnpddKPk7xqL7T2/b+OvXMRIXUO1rR4wcv1hAFUAT9avGZshty3Wlua/XA7TvA==",
+      "license": "Apache-2.0",
+      "dependencies": {
+        "json-schema": "^0.4.0"
+      },
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@ai-sdk/provider-utils": {
+      "version": "3.0.19",
+      "resolved": "https://registry.npmjs.org/@ai-sdk/provider-utils/-/provider-utils-3.0.19.tgz",
+      "integrity": "sha512-W41Wc9/jbUVXVwCN/7bWa4IKe8MtxO3EyA0Hfhx6grnmiYlCvpI8neSYWFE0zScXJkgA/YK3BRybzgyiXuu6JA==",
+      "license": "Apache-2.0",
+      "dependencies": {
+        "@ai-sdk/provider": "2.0.0",
+        "@standard-schema/spec": "^1.0.0",
+        "eventsource-parser": "^3.0.6"
+      },
+      "engines": {
+        "node": ">=18"
+      },
+      "peerDependencies": {
+        "zod": "^3.25.76 || ^4.1.8"
+      }
+    },
+    "node_modules/@ai-sdk/react": {
+      "version": "2.0.113",
+      "resolved": "https://registry.npmjs.org/@ai-sdk/react/-/react-2.0.113.tgz",
+      "integrity": "sha512-jAwWxIHrzRAP5Lwv+Z9be54Uxogd0QhUyfDAx/apVCyhszinotN7ABrQMXBQsbqXUmgvlncMvEEXxWQbpOT6iA==",
+      "license": "Apache-2.0",
+      "dependencies": {
+        "@ai-sdk/provider-utils": "3.0.19",
+        "ai": "5.0.111",
+        "swr": "^2.2.5",
+        "throttleit": "2.1.0"
+      },
+      "engines": {
+        "node": ">=18"
+      },
+      "peerDependencies": {
+        "react": "^18 || ~19.0.1 || ~19.1.2 || ^19.2.1",
+        "zod": "^3.25.76 || ^4.1.8"
+      },
+      "peerDependenciesMeta": {
+        "zod": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/@algolia/abtesting": {
-      "version": "1.3.0",
-      "resolved": "https://registry.npmjs.org/@algolia/abtesting/-/abtesting-1.3.0.tgz",
-      "integrity": "sha512-KqPVLdVNfoJzX5BKNGM9bsW8saHeyax8kmPFXul5gejrSPN3qss7PgsFH5mMem7oR8tvjvNkia97ljEYPYCN8Q==",
+      "version": "1.12.0",
+      "resolved": "https://registry.npmjs.org/@algolia/abtesting/-/abtesting-1.12.0.tgz",
+      "integrity": "sha512-EfW0bfxjPs+C7ANkJDw2TATntfBKsFiy7APh+KO0pQ8A6HYa5I0NjFuCGCXWfzzzLXNZta3QUl3n5Kmm6aJo9Q==",
       "license": "MIT",
       "dependencies": {
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-        "@algolia/requester-fetch": "5.37.0",
-        "@algolia/requester-node-http": "5.37.0"
+        "@algolia/client-common": "5.46.0",
+        "@algolia/requester-browser-xhr": "5.46.0",
+        "@algolia/requester-fetch": "5.46.0",
+        "@algolia/requester-node-http": "5.46.0"
       },
       "engines": {
         "node": ">= 14.0.0"
       }
     },
     "node_modules/@algolia/autocomplete-core": {
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+      "version": "1.19.2",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-core/-/autocomplete-core-1.19.2.tgz",
+      "integrity": "sha512-mKv7RyuAzXvwmq+0XRK8HqZXt9iZ5Kkm2huLjgn5JoCPtDy+oh9yxUMfDDaVCw0oyzZ1isdJBc7l9nuCyyR7Nw==",
       "license": "MIT",
       "dependencies": {
-        "@algolia/autocomplete-plugin-algolia-insights": "1.17.9",
-        "@algolia/autocomplete-shared": "1.17.9"
+        "@algolia/autocomplete-plugin-algolia-insights": "1.19.2",
+        "@algolia/autocomplete-shared": "1.19.2"
       }
     },
     "node_modules/@algolia/autocomplete-plugin-algolia-insights": {
-      "version": "1.17.9",
-      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-plugin-algolia-insights/-/autocomplete-plugin-algolia-insights-1.17.9.tgz",
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+      "version": "1.19.2",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-plugin-algolia-insights/-/autocomplete-plugin-algolia-insights-1.19.2.tgz",
+      "integrity": "sha512-TjxbcC/r4vwmnZaPwrHtkXNeqvlpdyR+oR9Wi2XyfORkiGkLTVhX2j+O9SaCCINbKoDfc+c2PB8NjfOnz7+oKg==",
       "license": "MIT",
       "dependencies": {
-        "@algolia/autocomplete-shared": "1.17.9"
+        "@algolia/autocomplete-shared": "1.19.2"
       },
       "peerDependencies": {
         "search-insights": ">= 1 < 3"
       }
     },
-    "node_modules/@algolia/autocomplete-preset-algolia": {
-      "version": "1.17.9",
-      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-preset-algolia/-/autocomplete-preset-algolia-1.17.9.tgz",
-      "integrity": "sha512-Na1OuceSJeg8j7ZWn5ssMu/Ax3amtOwk76u4h5J4eK2Nx2KB5qt0Z4cOapCsxot9VcEN11ADV5aUSlQF4RhGjQ==",
-      "license": "MIT",
-      "dependencies": {
-        "@algolia/autocomplete-shared": "1.17.9"
-      },
-      "peerDependencies": {
-        "@algolia/client-search": ">= 4.9.1 < 6",
-        "algoliasearch": ">= 4.9.1 < 6"
-      }
-    },
     "node_modules/@algolia/autocomplete-shared": {
-      "version": "1.17.9",
-      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-shared/-/autocomplete-shared-1.17.9.tgz",
-      "integrity": "sha512-iDf05JDQ7I0b7JEA/9IektxN/80a2MZ1ToohfmNS3rfeuQnIKI3IJlIafD0xu4StbtQTghx9T3Maa97ytkXenQ==",
+      "version": "1.19.2",
+      "resolved": "https://registry.npmjs.org/@algolia/autocomplete-shared/-/autocomplete-shared-1.19.2.tgz",
+      "integrity": "sha512-jEazxZTVD2nLrC+wYlVHQgpBoBB5KPStrJxLzsIFl6Kqd1AlG9sIAGl39V5tECLpIQzB3Qa2T6ZPJ1ChkwMK/w==",
       "license": "MIT",
       "peerDependencies": {
         "@algolia/client-search": ">= 4.9.1 < 6",
@@ -92,99 +149,99 @@
       }
     },
     "node_modules/@algolia/client-abtesting": {
-      "version": "5.37.0",
-      "resolved": "https://registry.npmjs.org/@algolia/client-abtesting/-/client-abtesting-5.37.0.tgz",
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+      "version": "5.46.0",
+      "resolved": "https://registry.npmjs.org/@algolia/client-abtesting/-/client-abtesting-5.46.0.tgz",
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       "license": "MIT",
       "dependencies": {
-        "@algolia/client-common": "5.37.0",
-        "@algolia/requester-browser-xhr": "5.37.0",
-        "@algolia/requester-fetch": "5.37.0",
-        "@algolia/requester-node-http": "5.37.0"
+        "@algolia/client-common": "5.46.0",
+        "@algolia/requester-browser-xhr": "5.46.0",
+        "@algolia/requester-fetch": "5.46.0",
+        "@algolia/requester-node-http": "5.46.0"
       },
       "engines": {
         "node": ">= 14.0.0"
       }
     },
     "node_modules/@algolia/client-analytics": {
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-        "@docusaurus/theme-search-algolia": "3.8.1",
-        "@docusaurus/types": "3.8.1"
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+        "@docusaurus/plugin-google-gtag": "3.9.2",
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+        "node": ">=20.0"
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@@ -3955,14 +4112,14 @@
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@@ -3983,31 +4140,31 @@
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-        "@docusaurus/utils": "3.8.1",
-        "@docusaurus/utils-common": "3.8.1",
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@@ -4015,7 +4172,7 @@
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@@ -4064,19 +4221,14 @@
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-      "version": "8.0.0",
-      "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
-      "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==",
-      "license": "MIT"
-    },
-    "node_modules/wrap-ansi-cjs/node_modules/string-width": {
-      "version": "4.2.3",
-      "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
-      "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
-      "license": "MIT",
-      "dependencies": {
-        "emoji-regex": "^8.0.0",
-        "is-fullwidth-code-point": "^3.0.0",
-        "strip-ansi": "^6.0.1"
-      },
-      "engines": {
-        "node": ">=8"
-      }
-    },
     "node_modules/wrap-ansi/node_modules/ansi-regex": {
       "version": "6.2.2",
       "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.2.2.tgz",
@@ -22833,6 +23175,36 @@
         }
       }
     },
+    "node_modules/wsl-utils": {
+      "version": "0.1.0",
+      "resolved": "https://registry.npmjs.org/wsl-utils/-/wsl-utils-0.1.0.tgz",
+      "integrity": "sha512-h3Fbisa2nKGPxCpm89Hk33lBLsnaGBvctQopaBSOW/uIs6FTe1ATyAnKFJrzVs9vpGdsTe73WF3V4lIsk4Gacw==",
+      "license": "MIT",
+      "dependencies": {
+        "is-wsl": "^3.1.0"
+      },
+      "engines": {
+        "node": ">=18"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
+    "node_modules/wsl-utils/node_modules/is-wsl": {
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/is-wsl/-/is-wsl-3.1.0.tgz",
+      "integrity": "sha512-UcVfVfaK4Sc4m7X3dUSoHoozQGBEFeDC+zVo06t98xe8CzHSZZBekNXH+tu0NalHolcJ/QAGqS46Hef7QXBIMw==",
+      "license": "MIT",
+      "dependencies": {
+        "is-inside-container": "^1.0.0"
+      },
+      "engines": {
+        "node": ">=16"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
     "node_modules/xdg-basedir": {
       "version": "5.1.0",
       "resolved": "https://registry.npmjs.org/xdg-basedir/-/xdg-basedir-5.1.0.tgz",
@@ -22956,9 +23328,9 @@
       }
     },
     "node_modules/yocto-queue": {
-      "version": "1.2.1",
-      "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-1.2.1.tgz",
-      "integrity": "sha512-AyeEbWOu/TAXdxlV9wmGcR0+yh2j3vYPGOECcIj2S7MkrLyC7ne+oye2BKTItt0ii2PHk4cDy+95+LshzbXnGg==",
+      "version": "1.2.2",
+      "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-1.2.2.tgz",
+      "integrity": "sha512-4LCcse/U2MHZ63HAJVE+v71o7yOdIe4cZ70Wpf8D/IyjDKYQLV5GD46B+hSTjJsvV5PztjvHoU580EftxjDZFQ==",
       "license": "MIT",
       "engines": {
         "node": ">=12.20"
@@ -22967,6 +23339,15 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/zod": {
+      "version": "4.1.13",
+      "resolved": "https://registry.npmjs.org/zod/-/zod-4.1.13.tgz",
+      "integrity": "sha512-AvvthqfqrAhNH9dnfmrfKzX5upOdjUVJYFqNSlkmGf64gRaTzlPwz99IHYnVs28qYAybvAlBV+H7pn0saFY4Ig==",
+      "license": "MIT",
+      "funding": {
+        "url": "https://github.com/sponsors/colinhacks"
+      }
+    },
     "node_modules/zwitch": {
       "version": "2.0.4",
       "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz",
diff --git a/docs/package.json b/docs/package.json
index 4cc8a7eac..0ff76c473 100644
--- a/docs/package.json
+++ b/docs/package.json
@@ -18,14 +18,14 @@
   },
   "dependencies": {
     "@docusaurus/core": "^3.7.0",
-    "@docusaurus/plugin-content-docs": "^3.6.3",
+    "@docusaurus/plugin-content-docs": "^3.7.0",
     "@docusaurus/preset-classic": "^3.7.0",
-    "@docusaurus/theme-mermaid": "^3.6.3",
+    "@docusaurus/theme-mermaid": "^3.7.0",
     "@inkeep/docusaurus": "^2.0.16",
     "@mdx-js/react": "^3.1.0",
     "clsx": "^2.1.1",
-    "docusaurus-plugin-openapi-docs": "^4.3.1",
-    "docusaurus-theme-openapi-docs": "^4.3.1",
+    "docusaurus-plugin-openapi-docs": "^4.5.1",
+    "docusaurus-theme-openapi-docs": "^4.5.1",
     "prism-react-renderer": "^2.4.1",
     "raw-loader": "^4.0.2",
     "react": "^18.3.1",
@@ -44,9 +44,9 @@
     ]
   },
   "devDependencies": {
-    "@docusaurus/module-type-aliases": "^3.4.0",
-    "@docusaurus/types": "^3.4.0",
-    "@types/react": "^18.3.7"
+    "@docusaurus/module-type-aliases": "^3.7.0",
+    "@docusaurus/types": "^3.7.0",
+    "@types/react": "^18.3.27"
   },
   "engines": {
     "node": ">=18.0"
diff --git a/docs/sidebars.ts b/docs/sidebars.ts
index 09b639aa1..ea0d2f5c8 100644
--- a/docs/sidebars.ts
+++ b/docs/sidebars.ts
@@ -129,8 +129,27 @@ const sidebars: SidebarsConfig = {
     Troubleshooting: [
       "troubleshooting/faqs",
       "troubleshooting/recordings",
-      "troubleshooting/gpu",
-      "troubleshooting/edgetpu",
+      "troubleshooting/dummy-camera",
+      {
+        type: "category",
+        label: "Troubleshooting Hardware",
+        link: {
+          type: "generated-index",
+          title: "Troubleshooting Hardware",
+          description: "Troubleshooting Problems with Hardware",
+        },
+        items: ["troubleshooting/gpu", "troubleshooting/edgetpu"],
+      },
+      {
+        type: "category",
+        label: "Troubleshooting Resource Usage",
+        link: {
+          type: "generated-index",
+          title: "Troubleshooting Resource Usage",
+          description: "Troubleshooting issues with resource usage",
+        },
+        items: ["troubleshooting/cpu", "troubleshooting/memory"],
+      },
     ],
     Development: [
       "development/contributing",
diff --git a/docs/src/components/CommunityBadge/index.jsx b/docs/src/components/CommunityBadge/index.jsx
new file mode 100644
index 000000000..67b9a9efa
--- /dev/null
+++ b/docs/src/components/CommunityBadge/index.jsx
@@ -0,0 +1,23 @@
+import React from "react";
+
+export default function CommunityBadge() {
+  return (
+    <span
+      title="This detector is maintained by community members who provide code, maintenance, and support. See the contributing boards documentation for more information."
+      style={{
+        display: "inline-block",
+        backgroundColor: "#f1f3f5",
+        color: "#24292f",
+        fontSize: "11px",
+        fontWeight: 600,
+        padding: "2px 6px",
+        borderRadius: "3px",
+        border: "1px solid #d1d9e0",
+        marginLeft: "4px",
+        cursor: "help",
+      }}
+    >
+      Community Supported
+    </span>
+  );
+}
diff --git a/docs/src/components/LanguageAlert/styles.module.css b/docs/src/components/LanguageAlert/styles.module.css
index f8d1e8eb2..d41584934 100644
--- a/docs/src/components/LanguageAlert/styles.module.css
+++ b/docs/src/components/LanguageAlert/styles.module.css
@@ -1,13 +1,18 @@
 .alert {
-    padding: 12px;
-    background: #fff8e6;
-    border-bottom: 1px solid #ffd166;
-    text-align: center;
-    font-size: 15px;
-  }
-  
-  .alert a {
-    color: #1890ff;
-    font-weight: 500;
-    margin-left: 6px;
-  }
\ No newline at end of file
+  padding: 12px;
+  background: #fff8e6;
+  border-bottom: 1px solid #ffd166;
+  text-align: center;
+  font-size: 15px;
+}
+
+[data-theme="dark"] .alert {
+  background: #3b2f0b;
+  border-bottom: 1px solid #665c22;
+}
+
+.alert a {
+  color: #1890ff;
+  font-weight: 500;
+  margin-left: 6px;
+}
diff --git a/docs/static/_headers b/docs/static/_headers
new file mode 100644
index 000000000..7327dc463
--- /dev/null
+++ b/docs/static/_headers
@@ -0,0 +1,8 @@
+https://:project.pages.dev/*
+  X-Robots-Tag: noindex
+
+https://:version.:project.pages.dev/*
+  X-Robots-Tag: noindex
+
+https://docs-dev.frigate.video/*
+  X-Robots-Tag: noindex
\ No newline at end of file
diff --git a/docs/static/frigate-api.yaml b/docs/static/frigate-api.yaml
index 5c5d7f15c..f1a00fe61 100644
--- a/docs/static/frigate-api.yaml
+++ b/docs/static/frigate-api.yaml
@@ -14,102 +14,164 @@ paths:
     get:
       tags:
         - Auth
-      summary: Auth
+      summary: Authenticate request
+      description: |-
+        Authenticates the current request based on proxy headers or JWT token.
+        This endpoint verifies authentication credentials and manages JWT token refresh.
+        On success, no JSON body is returned; authentication state is communicated via response headers and cookies.
       operationId: auth_auth_get
       responses:
-        '200':
-          description: Successful Response
-          content:
-            application/json:
-              schema: {}
+        "202":
+          description: Authentication Accepted (no response body, different headers depending on auth method)
+          headers:
+            remote-user:
+              description: Authenticated username or "viewer" in proxy-only mode
+              schema:
+                type: string
+            remote-role:
+              description: Resolved role (e.g., admin, viewer, or custom)
+              schema:
+                type: string
+            Set-Cookie:
+              description: May include refreshed JWT cookie ("frigate-token") when applicable
+              schema:
+                type: string
+        "401":
+          description: Authentication Failed
   /profile:
     get:
       tags:
         - Auth
-      summary: Profile
+      summary: Get user profile
+      description: |-
+        Returns the current authenticated user's profile including username, role, and allowed cameras.
+        This endpoint requires authentication and returns information about the user's permissions.
       operationId: profile_profile_get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
+        "401":
+          description: Unauthorized
   /logout:
     get:
       tags:
         - Auth
-      summary: Logout
+      summary: Logout user
+      description: |-
+        Logs out the current user by clearing the session cookie.
+        After logout, subsequent requests will require re-authentication.
       operationId: logout_logout_get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
+        "303":
+          description: See Other (redirects to login page)
   /login:
     post:
       tags:
         - Auth
-      summary: Login
+      summary: Login with credentials
+      description: |-
+        Authenticates a user with username and password.
+        Returns a JWT token as a secure HTTP-only cookie that can be used for subsequent API requests.
+        The JWT token can also be retrieved from the response and used as a Bearer token in the Authorization header.
+
+        Example using Bearer token:
+        ```
+        curl -H "Authorization: Bearer <token_value>" https://frigate_ip:8971/api/profile
+        ```
       operationId: login_login_post
       requestBody:
         required: true
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/AppPostLoginBody'
+              $ref: "#/components/schemas/AppPostLoginBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "401":
+          description: Login Failed - Invalid credentials
+          content:
+            application/json:
+              schema: {}
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /users:
     get:
       tags:
         - Auth
-      summary: Get Users
+      summary: Get all users
+      description: |-
+        Returns a list of all users with their usernames and roles.
+        Requires admin role. Each user object contains the username and assigned role.
       operationId: get_users_users_get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
+        "403":
+          description: Forbidden - Admin role required
     post:
       tags:
         - Auth
-      summary: Create User
+      summary: Create new user
+      description: |-
+        Creates a new user with the specified username, password, and role.
+        Requires admin role. Password must meet strength requirements:
+        - Minimum 8 characters
+        - At least one uppercase letter
+        - At least one digit
+        - At least one special character (!@#$%^&*(),.?":{}\|<>)
       operationId: create_user_users_post
       requestBody:
         required: true
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/AppPostUsersBody'
+              $ref: "#/components/schemas/AppPostUsersBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "400":
+          description: Bad Request - Invalid username or role
+          content:
+            application/json:
+              schema: {}
+        "403":
+          description: Forbidden - Admin role required
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /users/{username}:
     delete:
       tags:
         - Auth
-      summary: Delete User
+      summary: Delete user
+      description: |-
+        Deletes a user by username. The built-in admin user cannot be deleted.
+        Requires admin role. Returns success message or error if user not found.
       operationId: delete_user_users__username__delete
       parameters:
         - name: username
@@ -118,23 +180,36 @@ paths:
           schema:
             type: string
             title: Username
+            description: The username of the user to delete
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "403":
+          description: Forbidden - Cannot delete admin user or admin role required
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /users/{username}/password:
     put:
       tags:
         - Auth
-      summary: Update Password
+      summary: Update user password
+      description: |-
+        Updates a user's password. Users can only change their own password unless they have admin role.
+        Requires the current password to verify identity for non-admin users.
+        Password must meet strength requirements:
+        - Minimum 8 characters
+        - At least one uppercase letter
+        - At least one digit
+        - At least one special character (!@#$%^&*(),.?":{}\|<>)
+
+        If user changes their own password, a new JWT cookie is automatically issued.
       operationId: update_password_users__username__password_put
       parameters:
         - name: username
@@ -143,29 +218,41 @@ paths:
           schema:
             type: string
             title: Username
+            description: The username of the user whose password to update
       requestBody:
         required: true
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/AppPutPasswordBody'
+              $ref: "#/components/schemas/AppPutPasswordBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "400":
+          description: Bad Request - Current password required or password doesn't meet requirements
+        "401":
+          description: Unauthorized - Current password is incorrect
+        "403":
+          description: Forbidden - Viewers can only update their own password
+        "404":
+          description: Not Found - User not found
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /users/{username}/role:
     put:
       tags:
         - Auth
-      summary: Update Role
+      summary: Update user role
+      description: |-
+        Updates a user's role. The built-in admin user's role cannot be modified.
+        Requires admin role. Valid roles are defined in the configuration.
       operationId: update_role_users__username__role_put
       parameters:
         - name: username
@@ -174,24 +261,29 @@ paths:
           schema:
             type: string
             title: Username
+            description: The username of the user whose role to update
       requestBody:
         required: true
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/AppPutRoleBody'
+              $ref: "#/components/schemas/AppPutRoleBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "400":
+          description: Bad Request - Invalid role
+        "403":
+          description: Forbidden - Cannot modify admin user's role or admin role required
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /faces:
     get:
       tags:
@@ -204,12 +296,12 @@ paths:
             .jpg, and .jpeg.
       operationId: get_faces_faces_get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/FacesResponse'
+                $ref: "#/components/schemas/FacesResponse"
   /faces/reprocess:
     post:
       tags:
@@ -228,17 +320,17 @@ paths:
               type: object
               title: Body
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /faces/train/{name}/classify:
     post:
       tags:
@@ -266,18 +358,18 @@ paths:
               type: object
               title: Body
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /faces/{name}/create:
     post:
       tags:
@@ -297,18 +389,18 @@ paths:
             type: string
             title: Name
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /faces/{name}/register:
     post:
       tags:
@@ -336,18 +428,18 @@ paths:
               $ref: >-
                 #/components/schemas/Body_register_face_faces__name__register_post
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /faces/recognize:
     post:
       tags:
@@ -363,20 +455,20 @@ paths:
         content:
           multipart/form-data:
             schema:
-              $ref: '#/components/schemas/Body_recognize_face_faces_recognize_post'
+              $ref: "#/components/schemas/Body_recognize_face_faces_recognize_post"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/FaceRecognitionResponse'
-        '422':
+                $ref: "#/components/schemas/FaceRecognitionResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /faces/{name}/delete:
     post:
       tags:
@@ -400,20 +492,20 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/DeleteFaceImagesBody'
+              $ref: "#/components/schemas/DeleteFaceImagesBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /faces/{old_name}/rename:
     put:
       tags:
@@ -435,20 +527,20 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/RenameFaceBody'
+              $ref: "#/components/schemas/RenameFaceBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /lpr/reprocess:
     put:
       tags:
@@ -468,17 +560,17 @@ paths:
             type: string
             title: Event Id
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /reindex:
     put:
       tags:
@@ -489,12 +581,12 @@ paths:
             Requires semantic search to be enabled in the configuration. Returns a success message or an error if semantic search is not enabled.
       operationId: reindex_embeddings_reindex_put
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
+                $ref: "#/components/schemas/GenericResponse"
   /audio/transcribe:
     put:
       tags:
@@ -510,20 +602,46 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/AudioTranscriptionBody'
+              $ref: "#/components/schemas/AudioTranscriptionBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
+  /classification/attributes:
+    get:
+      tags:
+        - Classification
+      summary: Get custom classification attributes
+      description: |-
+        Returns custom classification attributes for a given object type.
+        Only includes models with classification_type set to 'attribute'.
+        By default returns a flat sorted list of all attribute labels.
+        If group_by_model is true, returns attributes grouped by model name.
+      operationId: get_custom_attributes_classification_attributes_get
+      parameters:
+        - name: object_type
+          in: query
+          schema:
+            type: string
+        - name: group_by_model
+          in: query
+          schema:
+            type: boolean
+            default: false
+      responses:
+        "200":
+          description: Successful Response
+        "422":
+          description: Validation Error
   /classification/{name}/dataset:
     get:
       tags:
@@ -541,17 +659,17 @@ paths:
             type: string
             title: Name
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /classification/{name}/train:
     get:
       tags:
@@ -569,17 +687,17 @@ paths:
             type: string
             title: Name
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
     post:
       tags:
         - Classification
@@ -596,18 +714,18 @@ paths:
             type: string
             title: Name
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /classification/{name}/dataset/{category}/delete:
     post:
       tags:
@@ -639,18 +757,18 @@ paths:
               type: object
               title: Body
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /classification/{name}/dataset/categorize:
     post:
       tags:
@@ -676,18 +794,18 @@ paths:
               type: object
               title: Body
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /classification/{name}/train/delete:
     post:
       tags:
@@ -712,18 +830,18 @@ paths:
               type: object
               title: Body
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /review:
     get:
       tags:
@@ -769,7 +887,7 @@ paths:
           in: query
           required: false
           schema:
-            $ref: '#/components/schemas/SeverityEnum'
+            $ref: "#/components/schemas/SeverityEnum"
         - name: before
           in: query
           required: false
@@ -783,21 +901,21 @@ paths:
             type: number
             title: After
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
                 type: array
                 items:
-                  $ref: '#/components/schemas/ReviewSegmentResponse'
+                  $ref: "#/components/schemas/ReviewSegmentResponse"
                 title: Response Review Review Get
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /review_ids:
     get:
       tags:
@@ -812,21 +930,21 @@ paths:
             type: string
             title: Ids
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
                 type: array
                 items:
-                  $ref: '#/components/schemas/ReviewSegmentResponse'
+                  $ref: "#/components/schemas/ReviewSegmentResponse"
                 title: Response Review Ids Review Ids Get
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /review/summary:
     get:
       tags:
@@ -863,18 +981,18 @@ paths:
             default: utc
             title: Timezone
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/ReviewSummaryResponse'
-        '422':
+                $ref: "#/components/schemas/ReviewSummaryResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /reviews/viewed:
     post:
       tags:
@@ -886,20 +1004,20 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/ReviewModifyMultipleBody'
+              $ref: "#/components/schemas/ReviewModifyMultipleBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /reviews/delete:
     post:
       tags:
@@ -911,20 +1029,20 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/ReviewModifyMultipleBody'
+              $ref: "#/components/schemas/ReviewModifyMultipleBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /review/activity/motion:
     get:
       tags:
@@ -960,21 +1078,21 @@ paths:
             default: 30
             title: Scale
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
                 type: array
                 items:
-                  $ref: '#/components/schemas/ReviewActivityMotionResponse'
+                  $ref: "#/components/schemas/ReviewActivityMotionResponse"
                 title: Response Motion Activity Review Activity Motion Get
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /review/event/{event_id}:
     get:
       tags:
@@ -989,18 +1107,18 @@ paths:
             type: string
             title: Event Id
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/ReviewSegmentResponse'
-        '422':
+                $ref: "#/components/schemas/ReviewSegmentResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /review/{review_id}:
     get:
       tags:
@@ -1015,18 +1133,18 @@ paths:
             type: string
             title: Review Id
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/ReviewSegmentResponse'
-        '422':
+                $ref: "#/components/schemas/ReviewSegmentResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /review/{review_id}/viewed:
     delete:
       tags:
@@ -1041,18 +1159,18 @@ paths:
             type: string
             title: Review Id
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /review/summarize/start/{start_ts}/end/{end_ts}:
     post:
       tags:
@@ -1075,17 +1193,17 @@ paths:
             type: number
             title: End Ts
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /:
     get:
       tags:
@@ -1093,7 +1211,7 @@ paths:
       summary: Is Healthy
       operationId: is_healthy__get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             text/plain:
@@ -1106,7 +1224,7 @@ paths:
       summary: Config Schema
       operationId: config_schema_config_schema_json_get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
@@ -1118,7 +1236,7 @@ paths:
       summary: Go2Rtc Streams
       operationId: go2rtc_streams_go2rtc_streams_get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
@@ -1137,17 +1255,17 @@ paths:
             type: string
             title: Camera Name
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /version:
     get:
       tags:
@@ -1155,7 +1273,7 @@ paths:
       summary: Version
       operationId: version_version_get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             text/plain:
@@ -1168,7 +1286,7 @@ paths:
       summary: Stats
       operationId: stats_stats_get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
@@ -1187,17 +1305,17 @@ paths:
             type: string
             title: Keys
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /metrics:
     get:
       tags:
@@ -1206,7 +1324,7 @@ paths:
       description: Expose Prometheus metrics endpoint and update metrics with latest stats
       operationId: metrics_metrics_get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
@@ -1218,7 +1336,7 @@ paths:
       summary: Config
       operationId: config_config_get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
@@ -1230,7 +1348,7 @@ paths:
       summary: Config Raw
       operationId: config_raw_config_raw_get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
@@ -1255,17 +1373,17 @@ paths:
             schema:
               title: Body
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /config/set:
     put:
       tags:
@@ -1277,19 +1395,19 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/AppConfigSetBody'
+              $ref: "#/components/schemas/AppConfigSetBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /ffprobe:
     get:
       tags:
@@ -1302,20 +1420,20 @@ paths:
           required: false
           schema:
             type: string
-            default: ''
+            default: ""
             title: Paths
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /vainfo:
     get:
       tags:
@@ -1323,7 +1441,7 @@ paths:
       summary: Vainfo
       operationId: vainfo_vainfo_get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
@@ -1335,7 +1453,7 @@ paths:
       summary: Nvinfo
       operationId: nvinfo_nvinfo_get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
@@ -1365,7 +1483,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Download
         - name: stream
           in: query
@@ -1373,7 +1491,7 @@ paths:
           schema:
             anyOf:
               - type: boolean
-              - type: 'null'
+              - type: "null"
             default: false
             title: Stream
         - name: start
@@ -1382,7 +1500,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             default: 0
             title: Start
         - name: end
@@ -1391,20 +1509,20 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: End
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /restart:
     post:
       tags:
@@ -1412,7 +1530,7 @@ paths:
       summary: Restart
       operationId: restart_restart_post
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
@@ -1429,20 +1547,20 @@ paths:
           required: false
           schema:
             type: string
-            default: ''
+            default: ""
             title: Camera
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /sub_labels:
     get:
       tags:
@@ -1456,20 +1574,20 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Split Joined
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /plus/models:
     get:
       tags:
@@ -1485,17 +1603,17 @@ paths:
             default: false
             title: Filterbycurrentmodeldetector
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /recognized_license_plates:
     get:
       tags:
@@ -1509,20 +1627,20 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Split Joined
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /timeline:
     get:
       tags:
@@ -1550,20 +1668,20 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Source Id
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /timeline/hourly:
     get:
       tags:
@@ -1578,7 +1696,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: all
             title: Cameras
         - name: labels
@@ -1587,7 +1705,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: all
             title: Labels
         - name: after
@@ -1596,7 +1714,7 @@ paths:
           schema:
             anyOf:
               - type: number
-              - type: 'null'
+              - type: "null"
             title: After
         - name: before
           in: query
@@ -1604,7 +1722,7 @@ paths:
           schema:
             anyOf:
               - type: number
-              - type: 'null'
+              - type: "null"
             title: Before
         - name: limit
           in: query
@@ -1612,7 +1730,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             default: 200
             title: Limit
         - name: timezone
@@ -1621,21 +1739,21 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: utc
             title: Timezone
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /preview/{camera_name}/start/{start_ts}/end/{end_ts}:
     get:
       tags:
@@ -1654,7 +1772,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: start_ts
           in: path
@@ -1669,23 +1787,23 @@ paths:
             type: number
             title: End Ts
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
                 type: array
                 items:
-                  $ref: '#/components/schemas/PreviewModel'
+                  $ref: "#/components/schemas/PreviewModel"
                 title: >-
                   Response Preview Ts Preview  Camera Name  Start  Start Ts
                   End  End Ts  Get
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /preview/{year_month}/{day}/{hour}/{camera_name}/{tz_name}:
     get:
       tags:
@@ -1723,7 +1841,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: tz_name
           in: path
@@ -1732,23 +1850,23 @@ paths:
             type: string
             title: Tz Name
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
                 type: array
                 items:
-                  $ref: '#/components/schemas/PreviewModel'
+                  $ref: "#/components/schemas/PreviewModel"
                 title: >-
                   Response Preview Hour Preview  Year Month   Day   Hour
                   Camera Name   Tz Name  Get
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /preview/{camera_name}/start/{start_ts}/end/{end_ts}/frames:
     get:
       tags:
@@ -1768,7 +1886,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: start_ts
           in: path
@@ -1783,7 +1901,7 @@ paths:
             type: number
             title: End Ts
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
@@ -1794,12 +1912,12 @@ paths:
                 title: >-
                   Response Get Preview Frames From Cache Preview  Camera Name
                   Start  Start Ts  End  End Ts  Frames Get
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /notifications/pubkey:
     get:
       tags:
@@ -1810,7 +1928,7 @@ paths:
             Returns the public key or an error if notifications are not enabled.
       operationId: get_vapid_pub_key_notifications_pubkey_get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
@@ -1831,17 +1949,17 @@ paths:
               type: object
               title: Body
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /exports:
     get:
       tags:
@@ -1852,14 +1970,14 @@ paths:
             Returns a list of exports ordered by date (most recent first).
       operationId: get_exports_exports_get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
                 type: array
                 items:
-                  $ref: '#/components/schemas/ExportModel'
+                  $ref: "#/components/schemas/ExportModel"
                 title: Response Get Exports Exports Get
   /export/{camera_name}/start/{start_time}/end/{end_time}:
     post:
@@ -1880,7 +1998,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: start_time
           in: path
@@ -1899,20 +2017,20 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/ExportRecordingsBody'
+              $ref: "#/components/schemas/ExportRecordingsBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/StartExportResponse'
-        '422':
+                $ref: "#/components/schemas/StartExportResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /export/{event_id}/rename:
     patch:
       tags:
@@ -1934,20 +2052,20 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/ExportRenameBody'
+              $ref: "#/components/schemas/ExportRenameBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /export/{event_id}:
     delete:
       tags:
@@ -1962,18 +2080,18 @@ paths:
             type: string
             title: Event Id
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /exports/{export_id}:
     get:
       tags:
@@ -1991,18 +2109,18 @@ paths:
             type: string
             title: Export Id
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/ExportModel'
-        '422':
+                $ref: "#/components/schemas/ExportModel"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events:
     get:
       tags:
@@ -2017,7 +2135,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: all
             title: Camera
         - name: cameras
@@ -2026,7 +2144,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: all
             title: Cameras
         - name: label
@@ -2035,7 +2153,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: all
             title: Label
         - name: labels
@@ -2044,7 +2162,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: all
             title: Labels
         - name: sub_label
@@ -2053,7 +2171,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: all
             title: Sub Label
         - name: sub_labels
@@ -2062,7 +2180,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: all
             title: Sub Labels
         - name: zone
@@ -2071,7 +2189,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: all
             title: Zone
         - name: zones
@@ -2080,7 +2198,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: all
             title: Zones
         - name: limit
@@ -2089,7 +2207,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             default: 100
             title: Limit
         - name: after
@@ -2098,7 +2216,7 @@ paths:
           schema:
             anyOf:
               - type: number
-              - type: 'null'
+              - type: "null"
             title: After
         - name: before
           in: query
@@ -2106,7 +2224,7 @@ paths:
           schema:
             anyOf:
               - type: number
-              - type: 'null'
+              - type: "null"
             title: Before
         - name: time_range
           in: query
@@ -2114,7 +2232,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: 00:00,24:00
             title: Time Range
         - name: has_clip
@@ -2123,7 +2241,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Has Clip
         - name: has_snapshot
           in: query
@@ -2131,7 +2249,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Has Snapshot
         - name: in_progress
           in: query
@@ -2139,7 +2257,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: In Progress
         - name: include_thumbnails
           in: query
@@ -2147,7 +2265,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             default: 1
             title: Include Thumbnails
         - name: favorites
@@ -2156,7 +2274,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Favorites
         - name: min_score
           in: query
@@ -2164,7 +2282,7 @@ paths:
           schema:
             anyOf:
               - type: number
-              - type: 'null'
+              - type: "null"
             title: Min Score
         - name: max_score
           in: query
@@ -2172,7 +2290,7 @@ paths:
           schema:
             anyOf:
               - type: number
-              - type: 'null'
+              - type: "null"
             title: Max Score
         - name: min_speed
           in: query
@@ -2180,7 +2298,7 @@ paths:
           schema:
             anyOf:
               - type: number
-              - type: 'null'
+              - type: "null"
             title: Min Speed
         - name: max_speed
           in: query
@@ -2188,7 +2306,7 @@ paths:
           schema:
             anyOf:
               - type: number
-              - type: 'null'
+              - type: "null"
             title: Max Speed
         - name: recognized_license_plate
           in: query
@@ -2196,7 +2314,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: all
             title: Recognized License Plate
         - name: is_submitted
@@ -2205,7 +2323,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Is Submitted
         - name: min_length
           in: query
@@ -2213,7 +2331,7 @@ paths:
           schema:
             anyOf:
               - type: number
-              - type: 'null'
+              - type: "null"
             title: Min Length
         - name: max_length
           in: query
@@ -2221,7 +2339,7 @@ paths:
           schema:
             anyOf:
               - type: number
-              - type: 'null'
+              - type: "null"
             title: Max Length
         - name: event_id
           in: query
@@ -2229,7 +2347,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Event Id
         - name: sort
           in: query
@@ -2237,7 +2355,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Sort
         - name: timezone
           in: query
@@ -2245,30 +2363,30 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: utc
             title: Timezone
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
                 type: array
                 items:
-                  $ref: '#/components/schemas/EventResponse'
+                  $ref: "#/components/schemas/EventResponse"
                 title: Response Events Events Get
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/explore:
     get:
       tags:
         - Events
-      summary: Get summary of objects.
+      summary: Get summary of objects
       description: |-
         Gets a summary of objects from the database.
             Returns a list of objects with a max of `limit` objects for each label.
@@ -2282,26 +2400,26 @@ paths:
             default: 10
             title: Limit
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
                 type: array
                 items:
-                  $ref: '#/components/schemas/EventResponse'
+                  $ref: "#/components/schemas/EventResponse"
                 title: Response Events Explore Events Explore Get
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /event_ids:
     get:
       tags:
         - Events
-      summary: Get events by ids.
+      summary: Get events by ids
       description: |-
         Gets events by a list of ids.
             Returns a list of events.
@@ -2314,26 +2432,26 @@ paths:
             type: string
             title: Ids
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
                 type: array
                 items:
-                  $ref: '#/components/schemas/EventResponse'
+                  $ref: "#/components/schemas/EventResponse"
                 title: Response Event Ids Event Ids Get
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/search:
     get:
       tags:
         - Events
-      summary: Search events.
+      summary: Search events
       description: |-
         Searches for events in the database.
             Returns a list of events.
@@ -2345,7 +2463,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Query
         - name: event_id
           in: query
@@ -2353,7 +2471,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Event Id
         - name: search_type
           in: query
@@ -2361,7 +2479,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: thumbnail
             title: Search Type
         - name: include_thumbnails
@@ -2370,7 +2488,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             default: 1
             title: Include Thumbnails
         - name: limit
@@ -2379,7 +2497,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             default: 50
             title: Limit
         - name: cameras
@@ -2388,7 +2506,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: all
             title: Cameras
         - name: labels
@@ -2397,7 +2515,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: all
             title: Labels
         - name: zones
@@ -2406,7 +2524,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: all
             title: Zones
         - name: after
@@ -2415,7 +2533,7 @@ paths:
           schema:
             anyOf:
               - type: number
-              - type: 'null'
+              - type: "null"
             title: After
         - name: before
           in: query
@@ -2423,7 +2541,7 @@ paths:
           schema:
             anyOf:
               - type: number
-              - type: 'null'
+              - type: "null"
             title: Before
         - name: time_range
           in: query
@@ -2431,7 +2549,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: 00:00,24:00
             title: Time Range
         - name: has_clip
@@ -2440,7 +2558,7 @@ paths:
           schema:
             anyOf:
               - type: boolean
-              - type: 'null'
+              - type: "null"
             title: Has Clip
         - name: has_snapshot
           in: query
@@ -2448,7 +2566,7 @@ paths:
           schema:
             anyOf:
               - type: boolean
-              - type: 'null'
+              - type: "null"
             title: Has Snapshot
         - name: is_submitted
           in: query
@@ -2456,7 +2574,7 @@ paths:
           schema:
             anyOf:
               - type: boolean
-              - type: 'null'
+              - type: "null"
             title: Is Submitted
         - name: timezone
           in: query
@@ -2464,7 +2582,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: utc
             title: Timezone
         - name: min_score
@@ -2473,7 +2591,7 @@ paths:
           schema:
             anyOf:
               - type: number
-              - type: 'null'
+              - type: "null"
             title: Min Score
         - name: max_score
           in: query
@@ -2481,7 +2599,7 @@ paths:
           schema:
             anyOf:
               - type: number
-              - type: 'null'
+              - type: "null"
             title: Max Score
         - name: min_speed
           in: query
@@ -2489,7 +2607,7 @@ paths:
           schema:
             anyOf:
               - type: number
-              - type: 'null'
+              - type: "null"
             title: Min Speed
         - name: max_speed
           in: query
@@ -2497,7 +2615,7 @@ paths:
           schema:
             anyOf:
               - type: number
-              - type: 'null'
+              - type: "null"
             title: Max Speed
         - name: recognized_license_plate
           in: query
@@ -2505,7 +2623,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: all
             title: Recognized License Plate
         - name: sort
@@ -2514,20 +2632,20 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Sort
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/summary:
     get:
       tags:
@@ -2541,7 +2659,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: utc
             title: Timezone
         - name: has_clip
@@ -2550,7 +2668,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Has Clip
         - name: has_snapshot
           in: query
@@ -2558,25 +2676,25 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Has Snapshot
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/{event_id}:
     get:
       tags:
         - Events
-      summary: Get event by id.
+      summary: Get event by id
       description: Gets an event by its id.
       operationId: event_events__event_id__get
       parameters:
@@ -2587,22 +2705,22 @@ paths:
             type: string
             title: Event Id
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/EventResponse'
-        '422':
+                $ref: "#/components/schemas/EventResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
     delete:
       tags:
         - Events
-      summary: Delete event.
+      summary: Delete event
       description: |-
         Deletes an event from the database.
             Returns a success message or an error if the event is not found.
@@ -2615,23 +2733,23 @@ paths:
             type: string
             title: Event Id
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/{event_id}/retain:
     post:
       tags:
         - Events
-      summary: Set event retain indefinitely.
+      summary: Set event retain indefinitely
       description: |-
         Sets an event to retain indefinitely.
             Returns a success message or an error if the event is not found.
@@ -2645,22 +2763,22 @@ paths:
             type: string
             title: Event Id
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
     delete:
       tags:
         - Events
-      summary: Stop event from being retained indefinitely.
+      summary: Stop event from being retained indefinitely
       description: |-
         Stops an event from being retained indefinitely.
             Returns a success message or an error if the event is not found.
@@ -2674,23 +2792,23 @@ paths:
             type: string
             title: Event Id
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/{event_id}/plus:
     post:
       tags:
         - Events
-      summary: Send event to Frigate+.
+      summary: Send event to Frigate+
       description: |-
         Sends an event to Frigate+.
             Returns a success message or an error if the event is not found.
@@ -2706,20 +2824,20 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/SubmitPlusBody'
+              $ref: "#/components/schemas/SubmitPlusBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/EventUploadPlusResponse'
-        '422':
+                $ref: "#/components/schemas/EventUploadPlusResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/{event_id}/false_positive:
     put:
       tags:
@@ -2738,23 +2856,23 @@ paths:
             type: string
             title: Event Id
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/EventUploadPlusResponse'
-        '422':
+                $ref: "#/components/schemas/EventUploadPlusResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/{event_id}/sub_label:
     post:
       tags:
         - Events
-      summary: Set event sub label.
+      summary: Set event sub label
       description: |-
         Sets an event's sub label.
             Returns a success message or an error if the event is not found.
@@ -2771,25 +2889,25 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/EventsSubLabelBody'
+              $ref: "#/components/schemas/EventsSubLabelBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/{event_id}/recognized_license_plate:
     post:
       tags:
         - Events
-      summary: Set event license plate.
+      summary: Set event license plate
       description: |-
         Sets an event's license plate.
             Returns a success message or an error if the event is not found.
@@ -2806,25 +2924,61 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/EventsLPRBody'
+              $ref: "#/components/schemas/EventsLPRBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
+  /events/{event_id}/attributes:
+    post:
+      tags:
+        - Events
+      summary: Set custom classification attributes
+      description: |-
+        Sets an event's custom classification attributes for all attribute-type
+        models that apply to the event's object type.
+            Returns a success message or an error if the event is not found.
+      operationId: set_attributes_events__event_id__attributes_post
+      parameters:
+        - name: event_id
+          in: path
+          required: true
+          schema:
+            type: string
+            title: Event Id
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/EventsAttributesBody"
+      responses:
+        "200":
+          description: Successful Response
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/{event_id}/description:
     post:
       tags:
         - Events
-      summary: Set event description.
+      summary: Set event description
       description: |-
         Sets an event's description.
             Returns a success message or an error if the event is not found.
@@ -2841,25 +2995,25 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/EventsDescriptionBody'
+              $ref: "#/components/schemas/EventsDescriptionBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/{event_id}/description/regenerate:
     put:
       tags:
         - Events
-      summary: Regenerate event description.
+      summary: Regenerate event description
       description: |-
         Regenerates an event's description.
             Returns a success message or an error if the event is not found.
@@ -2876,8 +3030,8 @@ paths:
           required: false
           schema:
             anyOf:
-              - $ref: '#/components/schemas/RegenerateDescriptionEnum'
-              - type: 'null'
+              - $ref: "#/components/schemas/RegenerateDescriptionEnum"
+              - type: "null"
             default: thumbnails
             title: Source
         - name: force
@@ -2886,27 +3040,27 @@ paths:
           schema:
             anyOf:
               - type: boolean
-              - type: 'null'
+              - type: "null"
             default: false
             title: Force
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /description/generate:
     post:
       tags:
         - Events
-      summary: Generate description embedding.
+      summary: Generate description embedding
       description: |-
         Generates an embedding for an event's description.
             Returns a success message or an error if the event is not found.
@@ -2916,25 +3070,25 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/EventsDescriptionBody'
+              $ref: "#/components/schemas/EventsDescriptionBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/:
     delete:
       tags:
         - Events
-      summary: Delete events.
+      summary: Delete events
       description: |-
         Deletes a list of events from the database.
             Returns a success message or an error if the events are not found.
@@ -2944,25 +3098,25 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/EventsDeleteBody'
+              $ref: "#/components/schemas/EventsDeleteBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/EventMultiDeleteResponse'
-        '422':
+                $ref: "#/components/schemas/EventMultiDeleteResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/{camera_name}/{label}/create:
     post:
       tags:
         - Events
-      summary: Create manual event.
+      summary: Create manual event
       description: |-
         Creates a manual event in the database.
             Returns a success message or an error if the event is not found.
@@ -2987,31 +3141,30 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/EventsCreateBody'
+              $ref: "#/components/schemas/EventsCreateBody"
               default:
-                source_type: api
                 score: 0
                 duration: 30
                 include_recording: true
                 draw: {}
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/EventCreateResponse'
-        '422':
+                $ref: "#/components/schemas/EventCreateResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/{event_id}/end:
     put:
       tags:
         - Events
-      summary: End manual event.
+      summary: End manual event
       description: |-
         Ends a manual event.
             Returns a success message or an error if the event is not found.
@@ -3029,25 +3182,25 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/EventsEndBody'
+              $ref: "#/components/schemas/EventsEndBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/GenericResponse'
-        '422':
+                $ref: "#/components/schemas/GenericResponse"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /trigger/embedding:
     post:
       tags:
         - Events
-      summary: Create trigger embedding.
+      summary: Create trigger embedding
       description: |-
         Creates a trigger embedding for a specific trigger.
             Returns a success message or an error if the trigger is not found.
@@ -3070,26 +3223,26 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/TriggerEmbeddingBody'
+              $ref: "#/components/schemas/TriggerEmbeddingBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
                 type: object
                 title: Response Create Trigger Embedding Trigger Embedding Post
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /trigger/embedding/{camera_name}/{name}:
     put:
       tags:
         - Events
-      summary: Update trigger embedding.
+      summary: Update trigger embedding
       description: |-
         Updates a trigger embedding for a specific trigger.
             Returns a success message or an error if the trigger is not found.
@@ -3112,9 +3265,9 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/TriggerEmbeddingBody'
+              $ref: "#/components/schemas/TriggerEmbeddingBody"
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
@@ -3123,16 +3276,16 @@ paths:
                 title: >-
                   Response Update Trigger Embedding Trigger Embedding  Camera
                   Name   Name  Put
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
     delete:
       tags:
         - Events
-      summary: Delete trigger embedding.
+      summary: Delete trigger embedding
       description: |-
         Deletes a trigger embedding for a specific trigger.
             Returns a success message or an error if the trigger is not found.
@@ -3151,7 +3304,7 @@ paths:
             type: string
             title: Name
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
@@ -3160,17 +3313,17 @@ paths:
                 title: >-
                   Response Delete Trigger Embedding Trigger Embedding  Camera
                   Name   Name  Delete
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /triggers/status/{camera_name}:
     get:
       tags:
         - Events
-      summary: Get triggers status.
+      summary: Get triggers status
       description: |-
         Gets the status of all triggers for a specific camera.
             Returns a success message or an error if the camera is not found.
@@ -3183,19 +3336,19 @@ paths:
             type: string
             title: Camera Name
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
                 type: object
                 title: Response Get Triggers Status Triggers Status  Camera Name  Get
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /{camera_name}:
     get:
       tags:
@@ -3209,7 +3362,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: fps
           in: query
@@ -3231,7 +3384,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Bbox
         - name: timestamp
           in: query
@@ -3239,7 +3392,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Timestamp
         - name: zones
           in: query
@@ -3247,7 +3400,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Zones
         - name: mask
           in: query
@@ -3255,7 +3408,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Mask
         - name: motion
           in: query
@@ -3263,7 +3416,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Motion
         - name: regions
           in: query
@@ -3271,20 +3424,20 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Regions
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /{camera_name}/ptz/info:
     get:
       tags:
@@ -3298,20 +3451,20 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /{camera_name}/latest.{extension}:
     get:
       tags:
@@ -3325,20 +3478,20 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: extension
           in: path
           required: true
           schema:
-            $ref: '#/components/schemas/Extension'
+            $ref: "#/components/schemas/Extension"
         - name: bbox
           in: query
           required: false
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Bbox
         - name: timestamp
           in: query
@@ -3346,7 +3499,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Timestamp
         - name: zones
           in: query
@@ -3354,7 +3507,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Zones
         - name: mask
           in: query
@@ -3362,7 +3515,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Mask
         - name: motion
           in: query
@@ -3370,7 +3523,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Motion
         - name: paths
           in: query
@@ -3378,7 +3531,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Paths
         - name: regions
           in: query
@@ -3386,7 +3539,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Regions
         - name: quality
           in: query
@@ -3394,7 +3547,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             default: 70
             title: Quality
         - name: height
@@ -3403,7 +3556,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Height
         - name: store
           in: query
@@ -3411,20 +3564,20 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Store
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /{camera_name}/recordings/{frame_time}/snapshot.{format}:
     get:
       tags:
@@ -3439,7 +3592,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: frame_time
           in: path
@@ -3463,17 +3616,17 @@ paths:
             type: integer
             title: Height
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /{camera_name}/plus/{frame_time}:
     post:
       tags:
@@ -3487,7 +3640,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: frame_time
           in: path
@@ -3496,17 +3649,17 @@ paths:
             type: string
             title: Frame Time
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /recordings/storage:
     get:
       tags:
@@ -3514,7 +3667,7 @@ paths:
       summary: Get Recordings Storage Usage
       operationId: get_recordings_storage_usage_recordings_storage_get
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
@@ -3540,21 +3693,21 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             default: all
             title: Cameras
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /{camera_name}/recordings/summary:
     get:
       tags:
@@ -3569,7 +3722,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: timezone
           in: query
@@ -3579,17 +3732,17 @@ paths:
             default: utc
             title: Timezone
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /{camera_name}/recordings:
     get:
       tags:
@@ -3606,7 +3759,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: after
           in: query
@@ -3623,17 +3776,17 @@ paths:
             default: 1759935670.40172
             title: Before
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /recordings/unavailable:
     get:
       tags:
@@ -3669,7 +3822,7 @@ paths:
             default: 30
             title: Scale
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
@@ -3678,12 +3831,12 @@ paths:
                 items:
                   type: object
                 title: Response No Recordings Recordings Unavailable Get
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /{camera_name}/start/{start_ts}/end/{end_ts}/clip.mp4:
     get:
       tags:
@@ -3700,7 +3853,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: start_ts
           in: path
@@ -3715,17 +3868,17 @@ paths:
             type: number
             title: End Ts
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /vod/{camera_name}/start/{start_ts}/end/{end_ts}:
     get:
       tags:
@@ -3742,7 +3895,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: start_ts
           in: path
@@ -3757,17 +3910,17 @@ paths:
             type: number
             title: End Ts
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /vod/{year_month}/{day}/{hour}/{camera_name}:
     get:
       tags:
@@ -3802,20 +3955,20 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /vod/{year_month}/{day}/{hour}/{camera_name}/{tz_name}:
     get:
       tags:
@@ -3851,7 +4004,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: tz_name
           in: path
@@ -3860,17 +4013,17 @@ paths:
             type: string
             title: Tz Name
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /vod/event/{event_id}:
     get:
       tags:
@@ -3897,17 +4050,17 @@ paths:
             title: Padding
           description: Padding to apply to the vod.
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/{event_id}/snapshot.jpg:
     get:
       tags:
@@ -3931,7 +4084,7 @@ paths:
           schema:
             anyOf:
               - type: boolean
-              - type: 'null'
+              - type: "null"
             default: false
             title: Download
         - name: timestamp
@@ -3940,7 +4093,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Timestamp
         - name: bbox
           in: query
@@ -3948,7 +4101,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Bbox
         - name: crop
           in: query
@@ -3956,7 +4109,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Crop
         - name: height
           in: query
@@ -3964,7 +4117,7 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             title: Height
         - name: quality
           in: query
@@ -3972,21 +4125,21 @@ paths:
           schema:
             anyOf:
               - type: integer
-              - type: 'null'
+              - type: "null"
             default: 70
             title: Quality
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/{event_id}/thumbnail.{extension}:
     get:
       tags:
@@ -4004,7 +4157,7 @@ paths:
           in: path
           required: true
           schema:
-            $ref: '#/components/schemas/Extension'
+            $ref: "#/components/schemas/Extension"
         - name: max_cache_age
           in: query
           required: false
@@ -4025,17 +4178,17 @@ paths:
             default: ios
             title: Format
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /{camera_name}/grid.jpg:
     get:
       tags:
@@ -4049,7 +4202,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: color
           in: query
@@ -4066,18 +4219,18 @@ paths:
             default: 0.5
             title: Font Scale
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
-  /events/{event_id}/snapshot-clean.png:
+                $ref: "#/components/schemas/HTTPValidationError"
+  /events/{event_id}/snapshot-clean.webp:
     get:
       tags:
         - Media
@@ -4098,17 +4251,17 @@ paths:
             default: false
             title: Download
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/{event_id}/clip.mp4:
     get:
       tags:
@@ -4132,17 +4285,17 @@ paths:
             title: Padding
           description: Padding to apply to clip.
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /events/{event_id}/preview.gif:
     get:
       tags:
@@ -4157,17 +4310,17 @@ paths:
             type: string
             title: Event Id
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /{camera_name}/start/{start_ts}/end/{end_ts}/preview.gif:
     get:
       tags:
@@ -4181,7 +4334,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: start_ts
           in: path
@@ -4205,17 +4358,17 @@ paths:
             title: Max Cache Age
           description: Max cache age in seconds. Default 30 days in seconds.
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /{camera_name}/start/{start_ts}/end/{end_ts}/preview.mp4:
     get:
       tags:
@@ -4229,7 +4382,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: start_ts
           in: path
@@ -4253,17 +4406,17 @@ paths:
             title: Max Cache Age
           description: Max cache age in seconds. Default 7 days in seconds.
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /review/{event_id}/preview:
     get:
       tags:
@@ -4288,17 +4441,17 @@ paths:
             default: gif
             title: Format
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /preview/{file_name}/thumbnail.webp:
     get:
       tags:
@@ -4314,17 +4467,17 @@ paths:
             type: string
             title: File Name
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /preview/{file_name}/thumbnail.jpg:
     get:
       tags:
@@ -4340,17 +4493,17 @@ paths:
             type: string
             title: File Name
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /{camera_name}/{label}/thumbnail.jpg:
     get:
       tags:
@@ -4364,7 +4517,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: label
           in: path
@@ -4373,17 +4526,17 @@ paths:
             type: string
             title: Label
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /{camera_name}/{label}/best.jpg:
     get:
       tags:
@@ -4397,7 +4550,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: label
           in: path
@@ -4406,17 +4559,17 @@ paths:
             type: string
             title: Label
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /{camera_name}/{label}/clip.mp4:
     get:
       tags:
@@ -4430,7 +4583,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: label
           in: path
@@ -4439,17 +4592,17 @@ paths:
             type: string
             title: Label
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
   /{camera_name}/{label}/snapshot.jpg:
     get:
       tags:
@@ -4466,7 +4619,7 @@ paths:
           schema:
             anyOf:
               - type: string
-              - type: 'null'
+              - type: "null"
             title: Camera Name
         - name: label
           in: path
@@ -4475,17 +4628,17 @@ paths:
             type: string
             title: Label
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema: {}
-        '422':
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
 components:
   schemas:
     AppConfigSetBody:
@@ -4497,12 +4650,12 @@ components:
         update_topic:
           anyOf:
             - type: string
-            - type: 'null'
+            - type: "null"
           title: Update Topic
         config_data:
           anyOf:
             - type: object
-            - type: 'null'
+            - type: "null"
           title: Config Data
       type: object
       title: AppConfigSetBody
@@ -4530,7 +4683,7 @@ components:
         role:
           anyOf:
             - type: string
-            - type: 'null'
+            - type: "null"
           title: Role
           default: viewer
       type: object
@@ -4672,7 +4825,7 @@ components:
         sub_label:
           anyOf:
             - type: string
-            - type: 'null'
+            - type: "null"
           title: Sub Label
         camera:
           type: string
@@ -4683,12 +4836,12 @@ components:
         end_time:
           anyOf:
             - type: number
-            - type: 'null'
+            - type: "null"
           title: End Time
         false_positive:
           anyOf:
             - type: boolean
-            - type: 'null'
+            - type: "null"
           title: False Positive
         zones:
           items:
@@ -4698,7 +4851,7 @@ components:
         thumbnail:
           anyOf:
             - type: string
-            - type: 'null'
+            - type: "null"
           title: Thumbnail
         has_clip:
           type: boolean
@@ -4712,22 +4865,22 @@ components:
         plus_id:
           anyOf:
             - type: string
-            - type: 'null'
+            - type: "null"
           title: Plus Id
         model_hash:
           anyOf:
             - type: string
-            - type: 'null'
+            - type: "null"
           title: Model Hash
         detector_type:
           anyOf:
             - type: string
-            - type: 'null'
+            - type: "null"
           title: Detector Type
         model_type:
           anyOf:
             - type: string
-            - type: 'null'
+            - type: "null"
           title: Model Type
         data:
           type: object
@@ -4767,39 +4920,33 @@ components:
       title: EventUploadPlusResponse
     EventsCreateBody:
       properties:
-        source_type:
-          anyOf:
-            - type: string
-            - type: 'null'
-          title: Source Type
-          default: api
         sub_label:
           anyOf:
             - type: string
-            - type: 'null'
+            - type: "null"
           title: Sub Label
         score:
           anyOf:
             - type: number
-            - type: 'null'
+            - type: "null"
           title: Score
           default: 0
         duration:
           anyOf:
             - type: integer
-            - type: 'null'
+            - type: "null"
           title: Duration
           default: 30
         include_recording:
           anyOf:
             - type: boolean
-            - type: 'null'
+            - type: "null"
           title: Include Recording
           default: true
         draw:
           anyOf:
             - type: object
-            - type: 'null'
+            - type: "null"
           title: Draw
           default: {}
       type: object
@@ -4820,7 +4967,7 @@ components:
         description:
           anyOf:
             - type: string
-            - type: 'null'
+            - type: "null"
           title: The description of the event
       type: object
       required:
@@ -4831,7 +4978,7 @@ components:
         end_time:
           anyOf:
             - type: number
-            - type: 'null'
+            - type: "null"
           title: End Time
       type: object
       title: EventsEndBody
@@ -4846,7 +4993,7 @@ components:
             - type: number
               maximum: 1
               exclusiveMinimum: 0
-            - type: 'null'
+            - type: "null"
           title: Score for recognized license plate
       type: object
       required:
@@ -4863,17 +5010,29 @@ components:
             - type: number
               maximum: 1
               exclusiveMinimum: 0
-            - type: 'null'
+            - type: "null"
           title: Score for sub label
         camera:
           anyOf:
             - type: string
-            - type: 'null'
+            - type: "null"
           title: Camera this object is detected on.
       type: object
       required:
         - subLabel
       title: EventsSubLabelBody
+    EventsAttributesBody:
+      properties:
+        attributes:
+          type: object
+          title: Attributes
+          description: Object with model names as keys and attribute values
+          additionalProperties:
+            type: string
+      type: object
+      required:
+        - attributes
+      title: EventsAttributesBody
     ExportModel:
       properties:
         id:
@@ -4918,11 +5077,11 @@ components:
     ExportRecordingsBody:
       properties:
         playback:
-          $ref: '#/components/schemas/PlaybackFactorEnum'
+          $ref: "#/components/schemas/PlaybackFactorEnum"
           title: Playback factor
           default: realtime
         source:
-          $ref: '#/components/schemas/PlaybackSourceEnum'
+          $ref: "#/components/schemas/PlaybackSourceEnum"
           title: Playback source
           default: recordings
         name:
@@ -4961,13 +5120,13 @@ components:
         score:
           anyOf:
             - type: number
-            - type: 'null'
+            - type: "null"
           title: Score
           description: Confidence score of the recognition (0-1)
         face_name:
           anyOf:
             - type: string
-            - type: 'null'
+            - type: "null"
           title: Face Name
           description: The recognized face name if successful
       type: object
@@ -5016,7 +5175,7 @@ components:
       properties:
         detail:
           items:
-            $ref: '#/components/schemas/ValidationError'
+            $ref: "#/components/schemas/ValidationError"
           type: array
           title: Detail
       type: object
@@ -5150,7 +5309,7 @@ components:
           type: boolean
           title: Has Been Reviewed
         severity:
-          $ref: '#/components/schemas/SeverityEnum'
+          $ref: "#/components/schemas/SeverityEnum"
         thumb_path:
           type: string
           title: Thumb Path
@@ -5170,10 +5329,10 @@ components:
     ReviewSummaryResponse:
       properties:
         last24Hours:
-          $ref: '#/components/schemas/Last24HoursReview'
+          $ref: "#/components/schemas/Last24HoursReview"
         root:
           additionalProperties:
-            $ref: '#/components/schemas/DayReview'
+            $ref: "#/components/schemas/DayReview"
           type: object
           title: Root
       type: object
@@ -5200,7 +5359,7 @@ components:
         export_id:
           anyOf:
             - type: string
-            - type: 'null'
+            - type: "null"
           title: Export Id
           description: The export ID if successfully started
       type: object
@@ -5220,7 +5379,7 @@ components:
     TriggerEmbeddingBody:
       properties:
         type:
-          $ref: '#/components/schemas/TriggerType'
+          $ref: "#/components/schemas/TriggerType"
         data:
           type: string
           title: Data
diff --git a/docs/static/img/branding/LICENSE.md b/docs/static/img/branding/LICENSE.md
new file mode 100644
index 000000000..abb0cb350
--- /dev/null
+++ b/docs/static/img/branding/LICENSE.md
@@ -0,0 +1,30 @@
+# COPYRIGHT AND TRADEMARK NOTICE
+
+The images, logos, and icons contained in this directory (the "Brand Assets") are
+proprietary to Frigate, Inc. and are NOT covered by the MIT License governing the
+rest of this repository.
+
+1. TRADEMARK STATUS
+   The "Frigate" name and the accompanying logo are common law trademarks™ of
+   Frigate, Inc. Frigate, Inc. reserves all rights to these marks.
+
+2. LIMITED PERMISSION FOR USE
+   Permission is hereby granted to display these Brand Assets strictly for the
+   following purposes:
+   a. To execute the software interface on a local machine.
+   b. To identify the software in documentation or reviews (nominative use).
+
+3. RESTRICTIONS
+   You may NOT:
+   a. Use these Brand Assets to represent a derivative work (fork) as an official
+   product of Frigate, Inc.
+   b. Use these Brand Assets in a way that implies endorsement, sponsorship, or
+   commercial affiliation with Frigate, Inc.
+   c. Modify or alter the Brand Assets.
+
+If you fork this repository with the intent to distribute a modified or competing
+version of the software, you must replace these Brand Assets with your own
+original content.
+
+ALL RIGHTS RESERVED.
+Copyright (c) 2026 Frigate, Inc.
diff --git a/docs/static/img/favicon.ico b/docs/static/img/branding/favicon.ico
similarity index 100%
rename from docs/static/img/favicon.ico
rename to docs/static/img/branding/favicon.ico
diff --git a/docs/static/img/frigate.png b/docs/static/img/branding/frigate.png
similarity index 100%
rename from docs/static/img/frigate.png
rename to docs/static/img/branding/frigate.png
diff --git a/docs/static/img/logo-dark.svg b/docs/static/img/branding/logo-dark.svg
similarity index 100%
rename from docs/static/img/logo-dark.svg
rename to docs/static/img/branding/logo-dark.svg
diff --git a/docs/static/img/logo.svg b/docs/static/img/branding/logo.svg
similarity index 100%
rename from docs/static/img/logo.svg
rename to docs/static/img/branding/logo.svg
diff --git a/docs/static/img/frigate-autotracking-example.gif b/docs/static/img/frigate-autotracking-example.gif
index b0bc424b7..bd6ab390e 100644
Binary files a/docs/static/img/frigate-autotracking-example.gif and b/docs/static/img/frigate-autotracking-example.gif differ
diff --git a/frigate/api/app.py b/frigate/api/app.py
index 5c2c132fd..440adfce4 100644
--- a/frigate/api/app.py
+++ b/frigate/api/app.py
@@ -14,7 +14,6 @@ from pathlib import Path as FilePath
 from typing import Any, Dict, List, Optional
 
 import aiofiles
-import requests
 import ruamel.yaml
 from fastapi import APIRouter, Body, Path, Request, Response
 from fastapi.encoders import jsonable_encoder
@@ -24,7 +23,12 @@ from markupsafe import escape
 from peewee import SQL, fn, operator
 from pydantic import ValidationError
 
-from frigate.api.auth import require_role
+from frigate.api.auth import (
+    allow_any_authenticated,
+    allow_public,
+    get_allowed_cameras_for_filter,
+    require_role,
+)
 from frigate.api.defs.query.app_query_parameters import AppTimelineHourlyQueryParameters
 from frigate.api.defs.request.app_body import AppConfigSetBody
 from frigate.api.defs.tags import Tags
@@ -38,18 +42,17 @@ from frigate.stats.prometheus import get_metrics, update_metrics
 from frigate.util.builtin import (
     clean_camera_user_pass,
     flatten_config_data,
-    get_tz_modifiers,
     process_config_query_string,
     update_yaml_file_bulk,
 )
 from frigate.util.config import find_config_file
 from frigate.util.services import (
-    ffprobe_stream,
     get_nvidia_driver_info,
     process_logs,
     restart_frigate,
     vainfo_hwaccel,
 )
+from frigate.util.time import get_tz_modifiers
 from frigate.version import VERSION
 
 logger = logging.getLogger(__name__)
@@ -58,66 +61,33 @@ logger = logging.getLogger(__name__)
 router = APIRouter(tags=[Tags.app])
 
 
-@router.get("/", response_class=PlainTextResponse)
+@router.get(
+    "/", response_class=PlainTextResponse, dependencies=[Depends(allow_public())]
+)
 def is_healthy():
     return "Frigate is running. Alive and healthy!"
 
 
-@router.get("/config/schema.json")
+@router.get("/config/schema.json", dependencies=[Depends(allow_public())])
 def config_schema(request: Request):
     return Response(
         content=request.app.frigate_config.schema_json(), media_type="application/json"
     )
 
 
-@router.get("/go2rtc/streams")
-def go2rtc_streams():
-    r = requests.get("http://127.0.0.1:1984/api/streams")
-    if not r.ok:
-        logger.error("Failed to fetch streams from go2rtc")
-        return JSONResponse(
-            content=({"success": False, "message": "Error fetching stream data"}),
-            status_code=500,
-        )
-    stream_data = r.json()
-    for data in stream_data.values():
-        for producer in data.get("producers") or []:
-            producer["url"] = clean_camera_user_pass(producer.get("url", ""))
-    return JSONResponse(content=stream_data)
-
-
-@router.get("/go2rtc/streams/{camera_name}")
-def go2rtc_camera_stream(request: Request, camera_name: str):
-    r = requests.get(
-        f"http://127.0.0.1:1984/api/streams?src={camera_name}&video=all&audio=all&microphone"
-    )
-    if not r.ok:
-        camera_config = request.app.frigate_config.cameras.get(camera_name)
-
-        if camera_config and camera_config.enabled:
-            logger.error("Failed to fetch streams from go2rtc")
-
-        return JSONResponse(
-            content=({"success": False, "message": "Error fetching stream data"}),
-            status_code=500,
-        )
-    stream_data = r.json()
-    for producer in stream_data.get("producers", []):
-        producer["url"] = clean_camera_user_pass(producer.get("url", ""))
-    return JSONResponse(content=stream_data)
-
-
-@router.get("/version", response_class=PlainTextResponse)
+@router.get(
+    "/version", response_class=PlainTextResponse, dependencies=[Depends(allow_public())]
+)
 def version():
     return VERSION
 
 
-@router.get("/stats")
+@router.get("/stats", dependencies=[Depends(allow_any_authenticated())])
 def stats(request: Request):
     return JSONResponse(content=request.app.stats_emitter.get_latest_stats())
 
 
-@router.get("/stats/history")
+@router.get("/stats/history", dependencies=[Depends(allow_any_authenticated())])
 def stats_history(request: Request, keys: str = None):
     if keys:
         keys = keys.split(",")
@@ -125,7 +95,7 @@ def stats_history(request: Request, keys: str = None):
     return JSONResponse(content=request.app.stats_emitter.get_stats_history(keys))
 
 
-@router.get("/metrics")
+@router.get("/metrics", dependencies=[Depends(allow_any_authenticated())])
 def metrics(request: Request):
     """Expose Prometheus metrics endpoint and update metrics with latest stats"""
     # Retrieve the latest statistics and update the Prometheus metrics
@@ -142,7 +112,7 @@ def metrics(request: Request):
     return Response(content=content, media_type=content_type)
 
 
-@router.get("/config")
+@router.get("/config", dependencies=[Depends(allow_any_authenticated())])
 def config(request: Request):
     config_obj: FrigateConfig = request.app.frigate_config
     config: dict[str, dict[str, Any]] = config_obj.model_dump(
@@ -218,7 +188,37 @@ def config(request: Request):
     return JSONResponse(content=config)
 
 
-@router.get("/config/raw")
+@router.get("/config/raw_paths", dependencies=[Depends(require_role(["admin"]))])
+def config_raw_paths(request: Request):
+    """Admin-only endpoint that returns camera paths and go2rtc streams without credential masking."""
+    config_obj: FrigateConfig = request.app.frigate_config
+
+    raw_paths = {"cameras": {}, "go2rtc": {"streams": {}}}
+
+    # Extract raw camera ffmpeg input paths
+    for camera_name, camera in config_obj.cameras.items():
+        raw_paths["cameras"][camera_name] = {
+            "ffmpeg": {
+                "inputs": [
+                    {"path": input.path, "roles": input.roles}
+                    for input in camera.ffmpeg.inputs
+                ]
+            }
+        }
+
+    # Extract raw go2rtc stream URLs
+    go2rtc_config = config_obj.go2rtc.model_dump(
+        mode="json", warnings="none", exclude_none=True
+    )
+    for stream_name, stream in go2rtc_config.get("streams", {}).items():
+        if stream is None:
+            continue
+        raw_paths["go2rtc"]["streams"][stream_name] = stream
+
+    return JSONResponse(content=raw_paths)
+
+
+@router.get("/config/raw", dependencies=[Depends(allow_any_authenticated())])
 def config_raw():
     config_file = find_config_file()
 
@@ -426,20 +426,29 @@ def config_set(request: Request, body: AppConfigSetBody):
         old_config: FrigateConfig = request.app.frigate_config
         request.app.frigate_config = config
 
-        if body.update_topic and body.update_topic.startswith("config/cameras/"):
-            _, _, camera, field = body.update_topic.split("/")
+        if body.update_topic:
+            if body.update_topic.startswith("config/cameras/"):
+                _, _, camera, field = body.update_topic.split("/")
 
-            if field == "add":
-                settings = config.cameras[camera]
-            elif field == "remove":
-                settings = old_config.cameras[camera]
+                if field == "add":
+                    settings = config.cameras[camera]
+                elif field == "remove":
+                    settings = old_config.cameras[camera]
+                else:
+                    settings = config.get_nested_object(body.update_topic)
+
+                request.app.config_publisher.publish_update(
+                    CameraConfigUpdateTopic(CameraConfigUpdateEnum[field], camera),
+                    settings,
+                )
             else:
+                # Generic handling for global config updates
                 settings = config.get_nested_object(body.update_topic)
 
-            request.app.config_publisher.publish_update(
-                CameraConfigUpdateTopic(CameraConfigUpdateEnum[field], camera),
-                settings,
-            )
+                # Publish None for removal, actual config for add/update
+                request.app.config_publisher.publisher.publish(
+                    body.update_topic, settings
+                )
 
     return JSONResponse(
         content=(
@@ -452,67 +461,7 @@ def config_set(request: Request, body: AppConfigSetBody):
     )
 
 
-@router.get("/ffprobe")
-def ffprobe(request: Request, paths: str = ""):
-    path_param = paths
-
-    if not path_param:
-        return JSONResponse(
-            content=({"success": False, "message": "Path needs to be provided."}),
-            status_code=404,
-        )
-
-    if path_param.startswith("camera"):
-        camera = path_param[7:]
-
-        if camera not in request.app.frigate_config.cameras.keys():
-            return JSONResponse(
-                content=(
-                    {"success": False, "message": f"{camera} is not a valid camera."}
-                ),
-                status_code=404,
-            )
-
-        if not request.app.frigate_config.cameras[camera].enabled:
-            return JSONResponse(
-                content=({"success": False, "message": f"{camera} is not enabled."}),
-                status_code=404,
-            )
-
-        paths = map(
-            lambda input: input.path,
-            request.app.frigate_config.cameras[camera].ffmpeg.inputs,
-        )
-    elif "," in clean_camera_user_pass(path_param):
-        paths = path_param.split(",")
-    else:
-        paths = [path_param]
-
-    # user has multiple streams
-    output = []
-
-    for path in paths:
-        ffprobe = ffprobe_stream(request.app.frigate_config.ffmpeg, path.strip())
-        output.append(
-            {
-                "return_code": ffprobe.returncode,
-                "stderr": (
-                    ffprobe.stderr.decode("unicode_escape").strip()
-                    if ffprobe.returncode != 0
-                    else ""
-                ),
-                "stdout": (
-                    json.loads(ffprobe.stdout.decode("unicode_escape").strip())
-                    if ffprobe.returncode == 0
-                    else ""
-                ),
-            }
-        )
-
-    return JSONResponse(content=output)
-
-
-@router.get("/vainfo")
+@router.get("/vainfo", dependencies=[Depends(allow_any_authenticated())])
 def vainfo():
     vainfo = vainfo_hwaccel()
     return JSONResponse(
@@ -532,12 +481,16 @@ def vainfo():
     )
 
 
-@router.get("/nvinfo")
+@router.get("/nvinfo", dependencies=[Depends(allow_any_authenticated())])
 def nvinfo():
     return JSONResponse(content=get_nvidia_driver_info())
 
 
-@router.get("/logs/{service}", tags=[Tags.logs])
+@router.get(
+    "/logs/{service}",
+    tags=[Tags.logs],
+    dependencies=[Depends(allow_any_authenticated())],
+)
 async def logs(
     service: str = Path(enum=["frigate", "nginx", "go2rtc"]),
     download: Optional[str] = None,
@@ -645,7 +598,7 @@ def restart():
     )
 
 
-@router.get("/labels")
+@router.get("/labels", dependencies=[Depends(allow_any_authenticated())])
 def get_labels(camera: str = ""):
     try:
         if camera:
@@ -663,7 +616,7 @@ def get_labels(camera: str = ""):
     return JSONResponse(content=labels)
 
 
-@router.get("/sub_labels")
+@router.get("/sub_labels", dependencies=[Depends(allow_any_authenticated())])
 def get_sub_labels(split_joined: Optional[int] = None):
     try:
         events = Event.select(Event.sub_label).distinct()
@@ -694,7 +647,7 @@ def get_sub_labels(split_joined: Optional[int] = None):
     return JSONResponse(content=sub_labels)
 
 
-@router.get("/plus/models")
+@router.get("/plus/models", dependencies=[Depends(allow_any_authenticated())])
 def plusModels(request: Request, filterByCurrentModelDetector: bool = False):
     if not request.app.frigate_config.plus_api.is_active():
         return JSONResponse(
@@ -736,14 +689,22 @@ def plusModels(request: Request, filterByCurrentModelDetector: bool = False):
     return JSONResponse(content=validModels)
 
 
-@router.get("/recognized_license_plates")
-def get_recognized_license_plates(split_joined: Optional[int] = None):
+@router.get(
+    "/recognized_license_plates", dependencies=[Depends(allow_any_authenticated())]
+)
+def get_recognized_license_plates(
+    split_joined: Optional[int] = None,
+    allowed_cameras: List[str] = Depends(get_allowed_cameras_for_filter),
+):
     try:
         query = (
             Event.select(
                 SQL("json_extract(data, '$.recognized_license_plate') AS plate")
             )
-            .where(SQL("json_extract(data, '$.recognized_license_plate') IS NOT NULL"))
+            .where(
+                (SQL("json_extract(data, '$.recognized_license_plate') IS NOT NULL"))
+                & (Event.camera << allowed_cameras)
+            )
             .distinct()
         )
         recognized_license_plates = [row[0] for row in query.tuples()]
@@ -770,7 +731,7 @@ def get_recognized_license_plates(split_joined: Optional[int] = None):
     return JSONResponse(content=recognized_license_plates)
 
 
-@router.get("/timeline")
+@router.get("/timeline", dependencies=[Depends(allow_any_authenticated())])
 def timeline(camera: str = "all", limit: int = 100, source_id: Optional[str] = None):
     clauses = []
 
@@ -787,7 +748,11 @@ def timeline(camera: str = "all", limit: int = 100, source_id: Optional[str] = N
         clauses.append((Timeline.camera == camera))
 
     if source_id:
-        clauses.append((Timeline.source_id == source_id))
+        source_ids = [sid.strip() for sid in source_id.split(",")]
+        if len(source_ids) == 1:
+            clauses.append((Timeline.source_id == source_ids[0]))
+        else:
+            clauses.append((Timeline.source_id.in_(source_ids)))
 
     if len(clauses) == 0:
         clauses.append((True))
@@ -803,7 +768,7 @@ def timeline(camera: str = "all", limit: int = 100, source_id: Optional[str] = N
     return JSONResponse(content=[t for t in timeline])
 
 
-@router.get("/timeline/hourly")
+@router.get("/timeline/hourly", dependencies=[Depends(allow_any_authenticated())])
 def hourly_timeline(params: AppTimelineHourlyQueryParameters = Depends()):
     """Get hourly summary for timeline."""
     cameras = params.cameras
diff --git a/frigate/api/auth.py b/frigate/api/auth.py
index 14fd804f7..7ba845f45 100644
--- a/frigate/api/auth.py
+++ b/frigate/api/auth.py
@@ -32,9 +32,180 @@ from frigate.models import User
 
 logger = logging.getLogger(__name__)
 
+
+def require_admin_by_default():
+    """
+    Global admin requirement dependency for all endpoints by default.
+
+    This is set as the default dependency on the FastAPI app to ensure all
+    endpoints require admin access unless explicitly overridden with
+    allow_public(), allow_any_authenticated(), or require_role().
+
+    Port 5000 (internal) always has admin role set by the /auth endpoint,
+    so this check passes automatically for internal requests.
+
+    Certain paths are exempted from the global admin check because they must
+    be accessible before authentication (login, auth) or they have their own
+    route-level authorization dependencies that handle access control.
+    """
+    # Paths that have route-level auth dependencies and should bypass global admin check
+    # These paths still have authorization - it's handled by their route-level dependencies
+    EXEMPT_PATHS = {
+        # Public auth endpoints (allow_public)
+        "/auth",
+        "/auth/first_time_login",
+        "/login",
+        "/logout",
+        # Authenticated user endpoints (allow_any_authenticated)
+        "/profile",
+        # Public info endpoints (allow_public)
+        "/",
+        "/version",
+        "/config/schema.json",
+        # Authenticated user endpoints (allow_any_authenticated)
+        "/metrics",
+        "/stats",
+        "/stats/history",
+        "/config",
+        "/config/raw",
+        "/vainfo",
+        "/nvinfo",
+        "/labels",
+        "/sub_labels",
+        "/plus/models",
+        "/recognized_license_plates",
+        "/timeline",
+        "/timeline/hourly",
+        "/recordings/storage",
+        "/recordings/summary",
+        "/recordings/unavailable",
+        "/go2rtc/streams",
+        "/event_ids",
+        "/events",
+        "/exports",
+    }
+
+    # Path prefixes that should be exempt (for paths with parameters)
+    EXEMPT_PREFIXES = (
+        "/logs/",  # /logs/{service}
+        "/review",  # /review, /review/{id}, /review/summary, /review_ids, etc.
+        "/reviews/",  # /reviews/viewed, /reviews/delete
+        "/events/",  # /events/{id}/thumbnail, /events/summary, etc. (camera-scoped)
+        "/export/",  # /export/{camera}/start/..., /export/{id}/rename, /export/{id}
+        "/go2rtc/streams/",  # /go2rtc/streams/{camera}
+        "/users/",  # /users/{username}/password (has own auth)
+        "/preview/",  # /preview/{file}/thumbnail.jpg
+        "/exports/",  # /exports/{export_id}
+        "/vod/",  # /vod/{camera_name}/...
+        "/notifications/",  # /notifications/pubkey, /notifications/register
+    )
+
+    async def admin_checker(request: Request):
+        path = request.url.path
+
+        # Check exact path matches
+        if path in EXEMPT_PATHS:
+            return
+
+        # Check prefix matches for parameterized paths
+        if path.startswith(EXEMPT_PREFIXES):
+            return
+
+        # Dynamic camera path exemption:
+        # Any path whose first segment matches a configured camera name should
+        # bypass the global admin requirement. These endpoints enforce access
+        # via route-level dependencies (e.g. require_camera_access) to ensure
+        # per-camera authorization. This allows non-admin authenticated users
+        # (e.g. viewer role) to access camera-specific resources without
+        # needing admin privileges.
+        try:
+            if path.startswith("/"):
+                first_segment = path.split("/", 2)[1]
+                if (
+                    first_segment
+                    and first_segment in request.app.frigate_config.cameras
+                ):
+                    return
+        except Exception:
+            pass
+
+        # For all other paths, require admin role
+        # Port 5000 (internal) requests have admin role set automatically
+        role = request.headers.get("remote-role")
+        if role == "admin":
+            return
+
+        raise HTTPException(
+            status_code=403,
+            detail="Access denied. A user with the admin role is required.",
+        )
+
+    return admin_checker
+
+
+def allow_public():
+    """
+    Override dependency to allow unauthenticated access to an endpoint.
+
+    Use this for endpoints that should be publicly accessible without
+    authentication, such as login page, health checks, or pre-auth info.
+
+    Example:
+        @router.get("/public-endpoint", dependencies=[Depends(allow_public())])
+    """
+
+    async def public_checker(request: Request):
+        return  # Always allow
+
+    return public_checker
+
+
+def allow_any_authenticated():
+    """
+    Override dependency to allow any request that passed through the /auth endpoint.
+
+    Allows:
+    - Port 5000 internal requests (remote-user: "anonymous", remote-role: "admin")
+    - Authenticated users with JWT tokens (remote-user: username)
+    - Unauthenticated requests when auth is disabled (remote-user: "viewer")
+
+    Rejects:
+    - Requests with no remote-user header (did not pass through /auth endpoint)
+
+    Example:
+        @router.get("/authenticated-endpoint", dependencies=[Depends(allow_any_authenticated())])
+    """
+
+    async def auth_checker(request: Request):
+        # Ensure a remote-user has been set by the /auth endpoint
+        username = request.headers.get("remote-user")
+        if username is None:
+            raise HTTPException(status_code=401, detail="Authentication required")
+        return
+
+    return auth_checker
+
+
 router = APIRouter(tags=[Tags.auth])
 
 
+@router.get("/auth/first_time_login", dependencies=[Depends(allow_public())])
+def first_time_login(request: Request):
+    """Return whether the admin first-time login help flag is set in config.
+
+    This endpoint is intentionally unauthenticated so the login page can
+    query it before a user is authenticated.
+    """
+    auth_config = request.app.frigate_config.auth
+
+    return JSONResponse(
+        content={
+            "admin_first_time_login": auth_config.admin_first_time_login
+            or auth_config.reset_admin_password
+        }
+    )
+
+
 class RateLimiter:
     _limit = ""
 
@@ -126,7 +297,10 @@ def get_jwt_secret() -> str:
             )
             jwt_secret = secrets.token_hex(64)
             try:
-                with open(jwt_secret_file, "w") as f:
+                fd = os.open(
+                    jwt_secret_file, os.O_WRONLY | os.O_CREAT | os.O_EXCL, 0o600
+                )
+                with os.fdopen(fd, "w") as f:
                     f.write(str(jwt_secret))
             except Exception:
                 logger.warning(
@@ -171,9 +345,35 @@ def verify_password(password, password_hash):
     return secrets.compare_digest(password_hash, compare_hash)
 
 
+def validate_password_strength(password: str) -> tuple[bool, Optional[str]]:
+    """
+    Validate password strength.
+
+    Returns a tuple of (is_valid, error_message).
+    """
+    if not password:
+        return False, "Password cannot be empty"
+
+    if len(password) < 8:
+        return False, "Password must be at least 8 characters long"
+
+    if not any(c.isupper() for c in password):
+        return False, "Password must contain at least one uppercase letter"
+
+    if not any(c.isdigit() for c in password):
+        return False, "Password must contain at least one digit"
+
+    if not any(c in '!@#$%^&*(),.?":{}|<>' for c in password):
+        return False, "Password must contain at least one special character"
+
+    return True, None
+
+
 def create_encoded_jwt(user, role, expiration, secret):
     return jwt.encode(
-        {"alg": "HS256"}, {"sub": user, "role": role, "exp": expiration}, secret
+        {"alg": "HS256"},
+        {"sub": user, "role": role, "exp": expiration, "iat": int(time.time())},
+        secret,
     )
 
 
@@ -335,7 +535,37 @@ def resolve_role(
 
 
 # Endpoints
-@router.get("/auth")
+@router.get(
+    "/auth",
+    dependencies=[Depends(allow_public())],
+    summary="Authenticate request",
+    description=(
+        "Authenticates the current request based on proxy headers or JWT token. "
+        "This endpoint verifies authentication credentials and manages JWT token refresh. "
+        "On success, no JSON body is returned; authentication state is communicated via response headers and cookies."
+    ),
+    status_code=202,
+    responses={
+        202: {
+            "description": "Authentication Accepted (no response body)",
+            "headers": {
+                "remote-user": {
+                    "description": 'Authenticated username or "viewer" in proxy-only mode',
+                    "schema": {"type": "string"},
+                },
+                "remote-role": {
+                    "description": "Resolved role (e.g., admin, viewer, or custom)",
+                    "schema": {"type": "string"},
+                },
+                "Set-Cookie": {
+                    "description": "May include refreshed JWT cookie when applicable",
+                    "schema": {"type": "string"},
+                },
+            },
+        },
+        401: {"description": "Authentication Failed"},
+    },
+)
 def auth(request: Request):
     auth_config: AuthConfig = request.app.frigate_config.auth
     proxy_config: ProxyConfig = request.app.frigate_config.proxy
@@ -362,12 +592,12 @@ def auth(request: Request):
     # if auth is disabled, just apply the proxy header map and return success
     if not auth_config.enabled:
         # pass the user header value from the upstream proxy if a mapping is specified
-        # or use anonymous if none are specified
+        # or use viewer if none are specified
         user_header = proxy_config.header_map.user
         success_response.headers["remote-user"] = (
-            request.headers.get(user_header, default="anonymous")
+            request.headers.get(user_header, default="viewer")
             if user_header
-            else "anonymous"
+            else "viewer"
         )
 
         # parse header and resolve a valid role
@@ -434,13 +664,27 @@ def auth(request: Request):
             return fail_response
 
         # if the jwt cookie is expiring soon
-        elif jwt_source == "cookie" and expiration - JWT_REFRESH <= current_time:
+        if jwt_source == "cookie" and expiration - JWT_REFRESH <= current_time:
             logger.debug("jwt token expiring soon, refreshing cookie")
-            # ensure the user hasn't been deleted
+
+            # Check if password has been changed since token was issued
+            # If so, force re-login by rejecting the refresh
             try:
-                User.get_by_id(user)
+                user_obj = User.get_by_id(user)
+                if user_obj.password_changed_at is not None:
+                    token_iat = int(token.claims.get("iat", 0))
+                    password_changed_timestamp = int(
+                        user_obj.password_changed_at.timestamp()
+                    )
+                    if token_iat < password_changed_timestamp:
+                        logger.debug(
+                            "jwt token issued before password change, rejecting refresh"
+                        )
+                        return fail_response
             except DoesNotExist:
+                logger.debug("user not found")
                 return fail_response
+
             new_expiration = current_time + JWT_SESSION_LENGTH
             new_encoded_jwt = create_encoded_jwt(
                 user, role, new_expiration, request.app.jwt_token
@@ -461,9 +705,14 @@ def auth(request: Request):
         return fail_response
 
 
-@router.get("/profile")
+@router.get(
+    "/profile",
+    dependencies=[Depends(allow_any_authenticated())],
+    summary="Get user profile",
+    description="Returns the current authenticated user's profile including username, role, and allowed cameras. This endpoint requires authentication and returns information about the user's permissions.",
+)
 def profile(request: Request):
-    username = request.headers.get("remote-user", "anonymous")
+    username = request.headers.get("remote-user", "viewer")
     role = request.headers.get("remote-role", "viewer")
 
     all_camera_names = set(request.app.frigate_config.cameras.keys())
@@ -475,7 +724,12 @@ def profile(request: Request):
     )
 
 
-@router.get("/logout")
+@router.get(
+    "/logout",
+    dependencies=[Depends(allow_public())],
+    summary="Logout user",
+    description="Logs out the current user by clearing the session cookie. After logout, subsequent requests will require re-authentication.",
+)
 def logout(request: Request):
     auth_config: AuthConfig = request.app.frigate_config.auth
     response = RedirectResponse("/login", status_code=303)
@@ -486,7 +740,12 @@ def logout(request: Request):
 limiter = Limiter(key_func=get_remote_addr)
 
 
-@router.post("/login")
+@router.post(
+    "/login",
+    dependencies=[Depends(allow_public())],
+    summary="Login with credentials",
+    description='Authenticates a user with username and password. Returns a JWT token as a secure HTTP-only cookie that can be used for subsequent API requests. The JWT token can also be retrieved from the response and used as a Bearer token in the Authorization header.\n\nExample using Bearer token:\n```\ncurl -H "Authorization: Bearer <token_value>" https://frigate_ip:8971/api/profile\n```',
+)
 @limiter.limit(limit_value=rateLimiter.get_limit)
 def login(request: Request, body: AppPostLoginBody):
     JWT_COOKIE_NAME = request.app.frigate_config.auth.cookie_name
@@ -515,11 +774,21 @@ def login(request: Request, body: AppPostLoginBody):
         set_jwt_cookie(
             response, JWT_COOKIE_NAME, encoded_jwt, expiration, JWT_COOKIE_SECURE
         )
+        # Clear admin_first_time_login flag after successful admin login so the
+        # UI stops showing the first-time login documentation link.
+        if role == "admin":
+            request.app.frigate_config.auth.admin_first_time_login = False
+
         return response
     return JSONResponse(content={"message": "Login failed"}, status_code=401)
 
 
-@router.get("/users", dependencies=[Depends(require_role(["admin"]))])
+@router.get(
+    "/users",
+    dependencies=[Depends(require_role(["admin"]))],
+    summary="Get all users",
+    description="Returns a list of all users with their usernames and roles. Requires admin role. Each user object contains the username and assigned role.",
+)
 def get_users():
     exports = (
         User.select(User.username, User.role).order_by(User.username).dicts().iterator()
@@ -527,7 +796,12 @@ def get_users():
     return JSONResponse([e for e in exports])
 
 
-@router.post("/users", dependencies=[Depends(require_role(["admin"]))])
+@router.post(
+    "/users",
+    dependencies=[Depends(require_role(["admin"]))],
+    summary="Create new user",
+    description='Creates a new user with the specified username, password, and role. Requires admin role. Password must meet strength requirements: minimum 8 characters, at least one uppercase letter, at least one digit, and at least one special character (!@#$%^&*(),.?":{} |<>).',
+)
 def create_user(
     request: Request,
     body: AppPostUsersBody,
@@ -556,13 +830,29 @@ def create_user(
     return JSONResponse(content={"username": body.username})
 
 
-@router.delete("/users/{username}")
-def delete_user(username: str):
+@router.delete(
+    "/users/{username}",
+    dependencies=[Depends(require_role(["admin"]))],
+    summary="Delete user",
+    description="Deletes a user by username. The built-in admin user cannot be deleted. Requires admin role. Returns success message or error if user not found.",
+)
+def delete_user(request: Request, username: str):
+    # Prevent deletion of the built-in admin user
+    if username == "admin":
+        return JSONResponse(
+            content={"message": "Cannot delete admin user"}, status_code=403
+        )
+
     User.delete_by_id(username)
     return JSONResponse(content={"success": True})
 
 
-@router.put("/users/{username}/password")
+@router.put(
+    "/users/{username}/password",
+    dependencies=[Depends(allow_any_authenticated())],
+    summary="Update user password",
+    description="Updates a user's password. Users can only change their own password unless they have admin role. Requires the current password to verify identity for non-admin users. Password must meet strength requirements: minimum 8 characters, at least one uppercase letter, at least one digit, and at least one special character (!@#$%^&*(),.?\":{} |<>). If user changes their own password, a new JWT cookie is automatically issued.",
+)
 async def update_password(
     request: Request,
     username: str,
@@ -584,15 +874,66 @@ async def update_password(
 
     HASH_ITERATIONS = request.app.frigate_config.auth.hash_iterations
 
-    password_hash = hash_password(body.password, iterations=HASH_ITERATIONS)
-    User.set_by_id(username, {User.password_hash: password_hash})
+    try:
+        user = User.get_by_id(username)
+    except DoesNotExist:
+        return JSONResponse(content={"message": "User not found"}, status_code=404)
 
-    return JSONResponse(content={"success": True})
+    # Require old_password when non-admin user is changing any password
+    # Admin users changing passwords do NOT need to provide the current password
+    if current_role != "admin":
+        if not body.old_password:
+            return JSONResponse(
+                content={"message": "Current password is required"},
+                status_code=400,
+            )
+        if not verify_password(body.old_password, user.password_hash):
+            return JSONResponse(
+                content={"message": "Current password is incorrect"},
+                status_code=401,
+            )
+
+    # Validate new password strength
+    is_valid, error_message = validate_password_strength(body.password)
+    if not is_valid:
+        return JSONResponse(
+            content={"message": error_message},
+            status_code=400,
+        )
+
+    password_hash = hash_password(body.password, iterations=HASH_ITERATIONS)
+    User.update(
+        {
+            User.password_hash: password_hash,
+            User.password_changed_at: datetime.now(),
+        }
+    ).where(User.username == username).execute()
+
+    response = JSONResponse(content={"success": True})
+
+    # If user changed their own password, issue a new JWT to keep them logged in
+    if current_username == username:
+        JWT_COOKIE_NAME = request.app.frigate_config.auth.cookie_name
+        JWT_COOKIE_SECURE = request.app.frigate_config.auth.cookie_secure
+        JWT_SESSION_LENGTH = request.app.frigate_config.auth.session_length
+
+        expiration = int(time.time()) + JWT_SESSION_LENGTH
+        encoded_jwt = create_encoded_jwt(
+            username, current_role, expiration, request.app.jwt_token
+        )
+        # Set new JWT cookie on response
+        set_jwt_cookie(
+            response, JWT_COOKIE_NAME, encoded_jwt, expiration, JWT_COOKIE_SECURE
+        )
+
+    return response
 
 
 @router.put(
     "/users/{username}/role",
     dependencies=[Depends(require_role(["admin"]))],
+    summary="Update user role",
+    description="Updates a user's role. The built-in admin user's role cannot be modified. Requires admin role. Valid roles are defined in the configuration.",
 )
 async def update_role(
     request: Request,
diff --git a/frigate/api/camera.py b/frigate/api/camera.py
new file mode 100644
index 000000000..488ec1e1f
--- /dev/null
+++ b/frigate/api/camera.py
@@ -0,0 +1,997 @@
+"""Camera apis."""
+
+import json
+import logging
+import re
+from importlib.util import find_spec
+from pathlib import Path
+from urllib.parse import quote_plus
+
+import httpx
+import requests
+from fastapi import APIRouter, Depends, Query, Request, Response
+from fastapi.responses import JSONResponse
+from onvif import ONVIFCamera, ONVIFError
+from zeep.exceptions import Fault, TransportError
+from zeep.transports import AsyncTransport
+
+from frigate.api.auth import (
+    allow_any_authenticated,
+    require_camera_access,
+    require_role,
+)
+from frigate.api.defs.tags import Tags
+from frigate.config.config import FrigateConfig
+from frigate.util.builtin import clean_camera_user_pass
+from frigate.util.image import run_ffmpeg_snapshot
+from frigate.util.services import ffprobe_stream
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(tags=[Tags.camera])
+
+
+def _is_valid_host(host: str) -> bool:
+    """
+    Validate that the host is in a valid format.
+    Allows private IPs since cameras are typically on local networks.
+    Only blocks obviously malicious input to prevent injection attacks.
+    """
+    try:
+        # Remove port if present
+        host_without_port = host.split(":")[0] if ":" in host else host
+
+        # Block whitespace, newlines, and control characters
+        if not host_without_port or re.search(r"[\s\x00-\x1f]", host_without_port):
+            return False
+
+        # Allow standard hostname/IP characters: alphanumeric, dots, hyphens
+        if not re.match(r"^[a-zA-Z0-9.-]+$", host_without_port):
+            return False
+
+        return True
+    except Exception:
+        return False
+
+
+@router.get("/go2rtc/streams", dependencies=[Depends(allow_any_authenticated())])
+def go2rtc_streams():
+    r = requests.get("http://127.0.0.1:1984/api/streams")
+    if not r.ok:
+        logger.error("Failed to fetch streams from go2rtc")
+        return JSONResponse(
+            content=({"success": False, "message": "Error fetching stream data"}),
+            status_code=500,
+        )
+    stream_data = r.json()
+    for data in stream_data.values():
+        for producer in data.get("producers") or []:
+            producer["url"] = clean_camera_user_pass(producer.get("url", ""))
+    return JSONResponse(content=stream_data)
+
+
+@router.get(
+    "/go2rtc/streams/{camera_name}", dependencies=[Depends(require_camera_access)]
+)
+def go2rtc_camera_stream(request: Request, camera_name: str):
+    r = requests.get(
+        f"http://127.0.0.1:1984/api/streams?src={camera_name}&video=all&audio=all&microphone"
+    )
+    if not r.ok:
+        camera_config = request.app.frigate_config.cameras.get(camera_name)
+
+        if camera_config and camera_config.enabled:
+            logger.error("Failed to fetch streams from go2rtc")
+
+        return JSONResponse(
+            content=({"success": False, "message": "Error fetching stream data"}),
+            status_code=500,
+        )
+    stream_data = r.json()
+    for producer in stream_data.get("producers", []):
+        producer["url"] = clean_camera_user_pass(producer.get("url", ""))
+    return JSONResponse(content=stream_data)
+
+
+@router.put(
+    "/go2rtc/streams/{stream_name}", dependencies=[Depends(require_role(["admin"]))]
+)
+def go2rtc_add_stream(request: Request, stream_name: str, src: str = ""):
+    """Add or update a go2rtc stream configuration."""
+    try:
+        params = {"name": stream_name}
+        if src:
+            params["src"] = src
+
+        r = requests.put(
+            "http://127.0.0.1:1984/api/streams",
+            params=params,
+            timeout=10,
+        )
+        if not r.ok:
+            logger.error(f"Failed to add go2rtc stream {stream_name}: {r.text}")
+            return JSONResponse(
+                content=(
+                    {"success": False, "message": f"Failed to add stream: {r.text}"}
+                ),
+                status_code=r.status_code,
+            )
+        return JSONResponse(
+            content={"success": True, "message": "Stream added successfully"}
+        )
+    except requests.RequestException as e:
+        logger.error(f"Error communicating with go2rtc: {e}")
+        return JSONResponse(
+            content=(
+                {
+                    "success": False,
+                    "message": "Error communicating with go2rtc",
+                }
+            ),
+            status_code=500,
+        )
+
+
+@router.delete(
+    "/go2rtc/streams/{stream_name}", dependencies=[Depends(require_role(["admin"]))]
+)
+def go2rtc_delete_stream(stream_name: str):
+    """Delete a go2rtc stream."""
+    try:
+        r = requests.delete(
+            "http://127.0.0.1:1984/api/streams",
+            params={"src": stream_name},
+            timeout=10,
+        )
+        if not r.ok:
+            logger.error(f"Failed to delete go2rtc stream {stream_name}: {r.text}")
+            return JSONResponse(
+                content=(
+                    {"success": False, "message": f"Failed to delete stream: {r.text}"}
+                ),
+                status_code=r.status_code,
+            )
+        return JSONResponse(
+            content={"success": True, "message": "Stream deleted successfully"}
+        )
+    except requests.RequestException as e:
+        logger.error(f"Error communicating with go2rtc: {e}")
+        return JSONResponse(
+            content=(
+                {
+                    "success": False,
+                    "message": "Error communicating with go2rtc",
+                }
+            ),
+            status_code=500,
+        )
+
+
+@router.get("/ffprobe", dependencies=[Depends(require_role(["admin"]))])
+def ffprobe(request: Request, paths: str = "", detailed: bool = False):
+    path_param = paths
+
+    if not path_param:
+        return JSONResponse(
+            content=({"success": False, "message": "Path needs to be provided."}),
+            status_code=404,
+        )
+
+    if path_param.startswith("camera"):
+        camera = path_param[7:]
+
+        if camera not in request.app.frigate_config.cameras.keys():
+            return JSONResponse(
+                content=(
+                    {"success": False, "message": f"{camera} is not a valid camera."}
+                ),
+                status_code=404,
+            )
+
+        if not request.app.frigate_config.cameras[camera].enabled:
+            return JSONResponse(
+                content=({"success": False, "message": f"{camera} is not enabled."}),
+                status_code=404,
+            )
+
+        paths = map(
+            lambda input: input.path,
+            request.app.frigate_config.cameras[camera].ffmpeg.inputs,
+        )
+    elif "," in clean_camera_user_pass(path_param):
+        paths = path_param.split(",")
+    else:
+        paths = [path_param]
+
+    # user has multiple streams
+    output = []
+
+    for path in paths:
+        ffprobe = ffprobe_stream(
+            request.app.frigate_config.ffmpeg, path.strip(), detailed=detailed
+        )
+
+        if ffprobe.returncode != 0:
+            try:
+                stderr_decoded = ffprobe.stderr.decode("utf-8")
+            except UnicodeDecodeError:
+                try:
+                    stderr_decoded = ffprobe.stderr.decode("unicode_escape")
+                except Exception:
+                    stderr_decoded = str(ffprobe.stderr)
+
+            stderr_lines = [
+                line.strip() for line in stderr_decoded.split("\n") if line.strip()
+            ]
+
+            result = {
+                "return_code": ffprobe.returncode,
+                "stderr": stderr_lines,
+                "stdout": "",
+            }
+        else:
+            result = {
+                "return_code": ffprobe.returncode,
+                "stderr": [],
+                "stdout": json.loads(ffprobe.stdout.decode("unicode_escape").strip()),
+            }
+
+        # Add detailed metadata if requested and probe was successful
+        if detailed and ffprobe.returncode == 0 and result["stdout"]:
+            try:
+                probe_data = result["stdout"]
+                metadata = {}
+
+                # Extract video stream information
+                video_stream = None
+                audio_stream = None
+
+                for stream in probe_data.get("streams", []):
+                    if stream.get("codec_type") == "video":
+                        video_stream = stream
+                    elif stream.get("codec_type") == "audio":
+                        audio_stream = stream
+
+                # Video metadata
+                if video_stream:
+                    metadata["video"] = {
+                        "codec": video_stream.get("codec_name"),
+                        "width": video_stream.get("width"),
+                        "height": video_stream.get("height"),
+                        "fps": _extract_fps(video_stream.get("avg_frame_rate")),
+                        "pixel_format": video_stream.get("pix_fmt"),
+                        "profile": video_stream.get("profile"),
+                        "level": video_stream.get("level"),
+                    }
+
+                    # Calculate resolution string
+                    if video_stream.get("width") and video_stream.get("height"):
+                        metadata["video"]["resolution"] = (
+                            f"{video_stream['width']}x{video_stream['height']}"
+                        )
+
+                # Audio metadata
+                if audio_stream:
+                    metadata["audio"] = {
+                        "codec": audio_stream.get("codec_name"),
+                        "channels": audio_stream.get("channels"),
+                        "sample_rate": audio_stream.get("sample_rate"),
+                        "channel_layout": audio_stream.get("channel_layout"),
+                    }
+
+                # Container/format metadata
+                if probe_data.get("format"):
+                    format_info = probe_data["format"]
+                    metadata["container"] = {
+                        "format": format_info.get("format_name"),
+                        "duration": format_info.get("duration"),
+                        "size": format_info.get("size"),
+                    }
+
+                result["metadata"] = metadata
+
+            except Exception as e:
+                logger.warning(f"Failed to extract detailed metadata: {e}")
+                # Continue without metadata if parsing fails
+
+        output.append(result)
+
+    return JSONResponse(content=output)
+
+
+@router.get("/ffprobe/snapshot", dependencies=[Depends(require_role(["admin"]))])
+def ffprobe_snapshot(request: Request, url: str = "", timeout: int = 10):
+    """Get a snapshot from a stream URL using ffmpeg."""
+    if not url:
+        return JSONResponse(
+            content={"success": False, "message": "URL parameter is required"},
+            status_code=400,
+        )
+
+    config: FrigateConfig = request.app.frigate_config
+
+    image_data, error = run_ffmpeg_snapshot(
+        config.ffmpeg, url, "mjpeg", timeout=timeout
+    )
+
+    if image_data:
+        return Response(
+            image_data,
+            media_type="image/jpeg",
+            headers={"Cache-Control": "no-store"},
+        )
+    elif error == "timeout":
+        return JSONResponse(
+            content={"success": False, "message": "Timeout capturing snapshot"},
+            status_code=408,
+        )
+    else:
+        logger.error(f"ffmpeg failed: {error}")
+        return JSONResponse(
+            content={"success": False, "message": "Failed to capture snapshot"},
+            status_code=500,
+        )
+
+
+@router.get("/reolink/detect", dependencies=[Depends(require_role(["admin"]))])
+def reolink_detect(host: str = "", username: str = "", password: str = ""):
+    """
+    Detect Reolink camera capabilities and recommend optimal protocol.
+
+    Queries the Reolink camera API to determine the camera's resolution
+    and recommends either http-flv (for 5MP and below) or rtsp (for higher resolutions).
+    """
+    if not host:
+        return JSONResponse(
+            content={"success": False, "message": "Host parameter is required"},
+            status_code=400,
+        )
+
+    if not username:
+        return JSONResponse(
+            content={"success": False, "message": "Username parameter is required"},
+            status_code=400,
+        )
+
+    if not password:
+        return JSONResponse(
+            content={"success": False, "message": "Password parameter is required"},
+            status_code=400,
+        )
+
+    # Validate host format to prevent injection attacks
+    if not _is_valid_host(host):
+        return JSONResponse(
+            content={"success": False, "message": "Invalid host format"},
+            status_code=400,
+        )
+
+    try:
+        # URL-encode credentials to prevent injection
+        encoded_user = quote_plus(username)
+        encoded_password = quote_plus(password)
+        api_url = f"http://{host}/api.cgi?cmd=GetEnc&user={encoded_user}&password={encoded_password}"
+
+        response = requests.get(api_url, timeout=5)
+
+        if not response.ok:
+            return JSONResponse(
+                content={
+                    "success": False,
+                    "protocol": None,
+                    "message": f"Failed to connect to camera API: HTTP {response.status_code}",
+                },
+                status_code=200,
+            )
+
+        data = response.json()
+        enc_data = data[0] if isinstance(data, list) and len(data) > 0 else data
+
+        stream_info = None
+        if isinstance(enc_data, dict):
+            if enc_data.get("value", {}).get("Enc"):
+                stream_info = enc_data["value"]["Enc"]
+            elif enc_data.get("Enc"):
+                stream_info = enc_data["Enc"]
+
+        if not stream_info or not stream_info.get("mainStream"):
+            return JSONResponse(
+                content={
+                    "success": False,
+                    "protocol": None,
+                    "message": "Could not find stream information in API response",
+                }
+            )
+
+        main_stream = stream_info["mainStream"]
+        width = main_stream.get("width", 0)
+        height = main_stream.get("height", 0)
+
+        if not width or not height:
+            return JSONResponse(
+                content={
+                    "success": False,
+                    "protocol": None,
+                    "message": "Could not determine camera resolution",
+                }
+            )
+
+        megapixels = (width * height) / 1_000_000
+        protocol = "http-flv" if megapixels <= 5.0 else "rtsp"
+
+        return JSONResponse(
+            content={
+                "success": True,
+                "protocol": protocol,
+                "resolution": f"{width}x{height}",
+                "megapixels": round(megapixels, 2),
+            }
+        )
+
+    except requests.exceptions.Timeout:
+        return JSONResponse(
+            content={
+                "success": False,
+                "protocol": None,
+                "message": "Connection timeout - camera did not respond",
+            }
+        )
+    except requests.exceptions.RequestException:
+        return JSONResponse(
+            content={
+                "success": False,
+                "protocol": None,
+                "message": "Failed to connect to camera",
+            }
+        )
+    except Exception:
+        logger.exception(f"Error detecting Reolink camera at {host}")
+        return JSONResponse(
+            content={
+                "success": False,
+                "protocol": None,
+                "message": "Unable to detect camera capabilities",
+            }
+        )
+
+
+def _extract_fps(r_frame_rate: str) -> float | None:
+    """Extract FPS from ffprobe avg_frame_rate / r_frame_rate string (e.g., '30/1' -> 30.0)"""
+    if not r_frame_rate:
+        return None
+    try:
+        num, den = r_frame_rate.split("/")
+        return round(float(num) / float(den), 2)
+    except (ValueError, ZeroDivisionError):
+        return None
+
+
+@router.get(
+    "/onvif/probe",
+    dependencies=[Depends(require_role(["admin"]))],
+    summary="Probe ONVIF device",
+    description=(
+        "Probe an ONVIF device to determine capabilities and optionally test available stream URIs. "
+        "Query params: host (required), port (default 80), username, password, test (boolean), "
+        "auth_type (basic or digest, default basic)."
+    ),
+)
+async def onvif_probe(
+    request: Request,
+    host: str = Query(None),
+    port: int = Query(80),
+    username: str = Query(""),
+    password: str = Query(""),
+    test: bool = Query(False),
+    auth_type: str = Query("basic"),  # Add auth_type parameter
+):
+    """
+    Probe a single ONVIF device to determine capabilities.
+
+    Connects to an ONVIF device and queries for:
+    - Device information (manufacturer, model)
+    - Media profiles count
+    - PTZ support
+    - Available presets
+    - Autotracking support
+
+    Query Parameters:
+        host: Device host/IP address (required)
+        port: Device port (default 80)
+        username: ONVIF username (optional)
+        password: ONVIF password (optional)
+        test: run ffprobe on the stream (optional)
+        auth_type: Authentication type - "basic" or "digest" (default "basic")
+
+    Returns:
+        JSON with device capabilities information
+    """
+    if not host:
+        return JSONResponse(
+            content={"success": False, "message": "host parameter is required"},
+            status_code=400,
+        )
+
+    # Validate host format
+    if not _is_valid_host(host):
+        return JSONResponse(
+            content={"success": False, "message": "Invalid host format"},
+            status_code=400,
+        )
+
+    # Validate auth_type
+    if auth_type not in ["basic", "digest"]:
+        return JSONResponse(
+            content={
+                "success": False,
+                "message": "auth_type must be 'basic' or 'digest'",
+            },
+            status_code=400,
+        )
+
+    onvif_camera = None
+
+    try:
+        logger.debug(f"Probing ONVIF device at {host}:{port} with {auth_type} auth")
+
+        try:
+            wsdl_base = None
+            spec = find_spec("onvif")
+            if spec and getattr(spec, "origin", None):
+                wsdl_base = str(Path(spec.origin).parent / "wsdl")
+        except Exception:
+            wsdl_base = None
+
+        onvif_camera = ONVIFCamera(
+            host, port, username or "", password or "", wsdl_dir=wsdl_base
+        )
+
+        # Configure digest authentication if requested
+        if auth_type == "digest" and username and password:
+            # Create httpx client with digest auth
+            auth = httpx.DigestAuth(username, password)
+            client = httpx.AsyncClient(auth=auth, timeout=10.0)
+
+            # Replace the transport in the zeep client
+            transport = AsyncTransport(client=client)
+
+            # Update the xaddr before setting transport
+            await onvif_camera.update_xaddrs()
+
+            # Replace transport in all services
+            if hasattr(onvif_camera, "devicemgmt"):
+                onvif_camera.devicemgmt.zeep_client.transport = transport
+            if hasattr(onvif_camera, "media"):
+                onvif_camera.media.zeep_client.transport = transport
+            if hasattr(onvif_camera, "ptz"):
+                onvif_camera.ptz.zeep_client.transport = transport
+
+            logger.debug("Configured digest authentication")
+        else:
+            await onvif_camera.update_xaddrs()
+
+        # Get device information
+        device_info = {
+            "manufacturer": "Unknown",
+            "model": "Unknown",
+            "firmware_version": "Unknown",
+        }
+        try:
+            device_service = await onvif_camera.create_devicemgmt_service()
+
+            # Update transport for device service if digest auth
+            if auth_type == "digest" and username and password:
+                auth = httpx.DigestAuth(username, password)
+                client = httpx.AsyncClient(auth=auth, timeout=10.0)
+                transport = AsyncTransport(client=client)
+                device_service.zeep_client.transport = transport
+
+            device_info_resp = await device_service.GetDeviceInformation()
+            manufacturer = getattr(device_info_resp, "Manufacturer", None) or (
+                device_info_resp.get("Manufacturer")
+                if isinstance(device_info_resp, dict)
+                else None
+            )
+            model = getattr(device_info_resp, "Model", None) or (
+                device_info_resp.get("Model")
+                if isinstance(device_info_resp, dict)
+                else None
+            )
+            firmware = getattr(device_info_resp, "FirmwareVersion", None) or (
+                device_info_resp.get("FirmwareVersion")
+                if isinstance(device_info_resp, dict)
+                else None
+            )
+            device_info.update(
+                {
+                    "manufacturer": manufacturer or "Unknown",
+                    "model": model or "Unknown",
+                    "firmware_version": firmware or "Unknown",
+                }
+            )
+        except Exception as e:
+            logger.debug(f"Failed to get device info: {e}")
+
+        # Get media profiles
+        profiles = []
+        profiles_count = 0
+        first_profile_token = None
+        ptz_config_token = None
+        try:
+            media_service = await onvif_camera.create_media_service()
+
+            # Update transport for media service if digest auth
+            if auth_type == "digest" and username and password:
+                auth = httpx.DigestAuth(username, password)
+                client = httpx.AsyncClient(auth=auth, timeout=10.0)
+                transport = AsyncTransport(client=client)
+                media_service.zeep_client.transport = transport
+
+            profiles = await media_service.GetProfiles()
+            profiles_count = len(profiles) if profiles else 0
+            if profiles and len(profiles) > 0:
+                p = profiles[0]
+                first_profile_token = getattr(p, "token", None) or (
+                    p.get("token") if isinstance(p, dict) else None
+                )
+                # Get PTZ configuration token from the profile
+                ptz_configuration = getattr(p, "PTZConfiguration", None) or (
+                    p.get("PTZConfiguration") if isinstance(p, dict) else None
+                )
+                if ptz_configuration:
+                    ptz_config_token = getattr(ptz_configuration, "token", None) or (
+                        ptz_configuration.get("token")
+                        if isinstance(ptz_configuration, dict)
+                        else None
+                    )
+        except Exception as e:
+            logger.debug(f"Failed to get media profiles: {e}")
+
+        # Check PTZ support and capabilities
+        ptz_supported = False
+        presets_count = 0
+        autotrack_supported = False
+
+        try:
+            ptz_service = await onvif_camera.create_ptz_service()
+
+            # Update transport for PTZ service if digest auth
+            if auth_type == "digest" and username and password:
+                auth = httpx.DigestAuth(username, password)
+                client = httpx.AsyncClient(auth=auth, timeout=10.0)
+                transport = AsyncTransport(client=client)
+                ptz_service.zeep_client.transport = transport
+
+            # Check if PTZ service is available
+            try:
+                await ptz_service.GetServiceCapabilities()
+                ptz_supported = True
+                logger.debug("PTZ service is available")
+            except Exception as e:
+                logger.debug(f"PTZ service not available: {e}")
+                ptz_supported = False
+
+            # Try to get presets if PTZ is supported and we have a profile
+            if ptz_supported and first_profile_token:
+                try:
+                    presets_resp = await ptz_service.GetPresets(
+                        {"ProfileToken": first_profile_token}
+                    )
+                    presets_count = len(presets_resp) if presets_resp else 0
+                    logger.debug(f"Found {presets_count} presets")
+                except Exception as e:
+                    logger.debug(f"Failed to get presets: {e}")
+                    presets_count = 0
+
+            # Check for autotracking support - requires both FOV relative movement and MoveStatus
+            if ptz_supported and first_profile_token and ptz_config_token:
+                # First check for FOV relative movement support
+                pt_r_fov_supported = False
+                try:
+                    config_request = ptz_service.create_type("GetConfigurationOptions")
+                    config_request.ConfigurationToken = ptz_config_token
+                    ptz_config = await ptz_service.GetConfigurationOptions(
+                        config_request
+                    )
+
+                    if ptz_config:
+                        # Check for pt-r-fov support
+                        spaces = getattr(ptz_config, "Spaces", None) or (
+                            ptz_config.get("Spaces")
+                            if isinstance(ptz_config, dict)
+                            else None
+                        )
+
+                        if spaces:
+                            rel_pan_tilt_space = getattr(
+                                spaces, "RelativePanTiltTranslationSpace", None
+                            ) or (
+                                spaces.get("RelativePanTiltTranslationSpace")
+                                if isinstance(spaces, dict)
+                                else None
+                            )
+
+                            if rel_pan_tilt_space:
+                                # Look for FOV space
+                                for i, space in enumerate(rel_pan_tilt_space):
+                                    uri = None
+                                    if isinstance(space, dict):
+                                        uri = space.get("URI")
+                                    else:
+                                        uri = getattr(space, "URI", None)
+
+                                    if uri and "TranslationSpaceFov" in uri:
+                                        pt_r_fov_supported = True
+                                        logger.debug(
+                                            "FOV relative movement (pt-r-fov) supported"
+                                        )
+                                        break
+
+                        logger.debug(f"PTZ config spaces: {ptz_config}")
+                except Exception as e:
+                    logger.debug(f"Failed to check FOV relative movement: {e}")
+                    pt_r_fov_supported = False
+
+                # Now check for MoveStatus support via GetServiceCapabilities
+                if pt_r_fov_supported:
+                    try:
+                        service_capabilities_request = ptz_service.create_type(
+                            "GetServiceCapabilities"
+                        )
+                        service_capabilities = await ptz_service.GetServiceCapabilities(
+                            service_capabilities_request
+                        )
+
+                        # Look for MoveStatus in the capabilities
+                        move_status_capable = False
+                        if service_capabilities:
+                            # Try to find MoveStatus key recursively
+                            def find_move_status(obj, key="MoveStatus"):
+                                if isinstance(obj, dict):
+                                    if key in obj:
+                                        return obj[key]
+                                    for v in obj.values():
+                                        result = find_move_status(v, key)
+                                        if result is not None:
+                                            return result
+                                elif hasattr(obj, key):
+                                    return getattr(obj, key)
+                                elif hasattr(obj, "__dict__"):
+                                    for v in vars(obj).values():
+                                        result = find_move_status(v, key)
+                                        if result is not None:
+                                            return result
+                                return None
+
+                            move_status_value = find_move_status(service_capabilities)
+
+                            # MoveStatus should return "true" if supported
+                            if isinstance(move_status_value, bool):
+                                move_status_capable = move_status_value
+                            elif isinstance(move_status_value, str):
+                                move_status_capable = (
+                                    move_status_value.lower() == "true"
+                                )
+
+                            logger.debug(f"MoveStatus capability: {move_status_value}")
+
+                        # Autotracking is supported if both conditions are met
+                        autotrack_supported = pt_r_fov_supported and move_status_capable
+
+                        if autotrack_supported:
+                            logger.debug(
+                                "Autotracking fully supported (pt-r-fov + MoveStatus)"
+                            )
+                        else:
+                            logger.debug(
+                                f"Autotracking not fully supported - pt-r-fov: {pt_r_fov_supported}, MoveStatus: {move_status_capable}"
+                            )
+                    except Exception as e:
+                        logger.debug(f"Failed to check MoveStatus support: {e}")
+                        autotrack_supported = False
+
+        except Exception as e:
+            logger.debug(f"Failed to probe PTZ service: {e}")
+
+        result = {
+            "success": True,
+            "host": host,
+            "port": port,
+            "manufacturer": device_info["manufacturer"],
+            "model": device_info["model"],
+            "firmware_version": device_info["firmware_version"],
+            "profiles_count": profiles_count,
+            "ptz_supported": ptz_supported,
+            "presets_count": presets_count,
+            "autotrack_supported": autotrack_supported,
+        }
+
+        # Gather RTSP candidates
+        rtsp_candidates: list[dict] = []
+        try:
+            media_service = await onvif_camera.create_media_service()
+
+            # Update transport for media service if digest auth
+            if auth_type == "digest" and username and password:
+                auth = httpx.DigestAuth(username, password)
+                client = httpx.AsyncClient(auth=auth, timeout=10.0)
+                transport = AsyncTransport(client=client)
+                media_service.zeep_client.transport = transport
+
+            if profiles_count and media_service:
+                for p in profiles or []:
+                    token = getattr(p, "token", None) or (
+                        p.get("token") if isinstance(p, dict) else None
+                    )
+                    if not token:
+                        continue
+                    try:
+                        stream_setup = {
+                            "Stream": "RTP-Unicast",
+                            "Transport": {"Protocol": "RTSP"},
+                        }
+                        stream_req = {
+                            "ProfileToken": token,
+                            "StreamSetup": stream_setup,
+                        }
+                        stream_uri_resp = await media_service.GetStreamUri(stream_req)
+                        uri = (
+                            stream_uri_resp.get("Uri")
+                            if isinstance(stream_uri_resp, dict)
+                            else getattr(stream_uri_resp, "Uri", None)
+                        )
+                        if uri:
+                            logger.debug(
+                                f"GetStreamUri returned for token {token}: {uri}"
+                            )
+                            # If credentials were provided, do NOT add the unauthenticated URI.
+                            try:
+                                if isinstance(uri, str) and uri.startswith("rtsp://"):
+                                    if username and password and "@" not in uri:
+                                        # Inject raw credentials and add only the
+                                        # authenticated version. The credentials will be encoded
+                                        # later by ffprobe_stream or the config system.
+                                        cred = f"{username}:{password}@"
+                                        injected = uri.replace(
+                                            "rtsp://", f"rtsp://{cred}", 1
+                                        )
+                                        rtsp_candidates.append(
+                                            {
+                                                "source": "GetStreamUri",
+                                                "profile_token": token,
+                                                "uri": injected,
+                                            }
+                                        )
+                                    else:
+                                        # No credentials provided or URI already contains
+                                        # credentials — add the URI as returned.
+                                        rtsp_candidates.append(
+                                            {
+                                                "source": "GetStreamUri",
+                                                "profile_token": token,
+                                                "uri": uri,
+                                            }
+                                        )
+                                else:
+                                    # Non-RTSP URIs (e.g., http-flv) — add as returned.
+                                    rtsp_candidates.append(
+                                        {
+                                            "source": "GetStreamUri",
+                                            "profile_token": token,
+                                            "uri": uri,
+                                        }
+                                    )
+                            except Exception as e:
+                                logger.debug(
+                                    f"Skipping stream URI for token {token} due to processing error: {e}"
+                                )
+                                continue
+                    except Exception:
+                        logger.debug(
+                            f"GetStreamUri failed for token {token}", exc_info=True
+                        )
+                        continue
+
+            # Add common RTSP patterns as fallback
+            if not rtsp_candidates:
+                common_paths = [
+                    "/h264",
+                    "/live.sdp",
+                    "/media.amp",
+                    "/Streaming/Channels/101",
+                    "/Streaming/Channels/1",
+                    "/stream1",
+                    "/cam/realmonitor?channel=1&subtype=0",
+                    "/11",
+                ]
+                # Use raw credentials for pattern fallback URIs when provided
+                auth_str = f"{username}:{password}@" if username and password else ""
+                rtsp_port = 554
+                for path in common_paths:
+                    uri = f"rtsp://{auth_str}{host}:{rtsp_port}{path}"
+                    rtsp_candidates.append({"source": "pattern", "uri": uri})
+        except Exception:
+            logger.debug("Failed to collect RTSP candidates")
+
+        # Optionally test RTSP candidates using ffprobe_stream
+        tested_candidates = []
+        if test and rtsp_candidates:
+            for c in rtsp_candidates:
+                uri = c["uri"]
+                to_test = [uri]
+                try:
+                    if (
+                        username
+                        and password
+                        and isinstance(uri, str)
+                        and uri.startswith("rtsp://")
+                        and "@" not in uri
+                    ):
+                        cred = f"{username}:{password}@"
+                        cred_uri = uri.replace("rtsp://", f"rtsp://{cred}", 1)
+                        if cred_uri not in to_test:
+                            to_test.append(cred_uri)
+                except Exception:
+                    pass
+
+                for test_uri in to_test:
+                    try:
+                        probe = ffprobe_stream(
+                            request.app.frigate_config.ffmpeg, test_uri, detailed=False
+                        )
+                        print(probe)
+                        ok = probe is not None and getattr(probe, "returncode", 1) == 0
+                        tested_candidates.append(
+                            {
+                                "uri": test_uri,
+                                "source": c.get("source"),
+                                "ok": ok,
+                                "profile_token": c.get("profile_token"),
+                            }
+                        )
+                    except Exception as e:
+                        logger.debug(f"Unable to probe stream: {e}")
+                        tested_candidates.append(
+                            {
+                                "uri": test_uri,
+                                "source": c.get("source"),
+                                "ok": False,
+                                "profile_token": c.get("profile_token"),
+                            }
+                        )
+
+        result["rtsp_candidates"] = rtsp_candidates
+        if test:
+            result["rtsp_tested"] = tested_candidates
+
+        logger.debug(f"ONVIF probe successful: {result}")
+        return JSONResponse(content=result)
+
+    except ONVIFError as e:
+        logger.warning(f"ONVIF error probing {host}:{port}: {e}")
+        return JSONResponse(
+            content={"success": False, "message": "ONVIF error"},
+            status_code=400,
+        )
+    except (Fault, TransportError) as e:
+        logger.warning(f"Connection error probing {host}:{port}: {e}")
+        return JSONResponse(
+            content={"success": False, "message": "Connection error"},
+            status_code=503,
+        )
+    except Exception as e:
+        logger.warning(f"Error probing ONVIF device at {host}:{port}, {e}")
+        return JSONResponse(
+            content={"success": False, "message": "Probe failed"},
+            status_code=500,
+        )
+
+    finally:
+        # Best-effort cleanup of ONVIF camera client session
+        if onvif_camera is not None:
+            try:
+                # Check if the camera has a close method and call it
+                if hasattr(onvif_camera, "close"):
+                    await onvif_camera.close()
+            except Exception as e:
+                logger.debug(f"Error closing ONVIF camera session: {e}")
diff --git a/frigate/api/classification.py b/frigate/api/classification.py
index 623ceba32..ed1e7b317 100644
--- a/frigate/api/classification.py
+++ b/frigate/api/classification.py
@@ -3,7 +3,9 @@
 import datetime
 import logging
 import os
+import random
 import shutil
+import string
 from typing import Any
 
 import cv2
@@ -17,6 +19,8 @@ from frigate.api.auth import require_role
 from frigate.api.defs.request.classification_body import (
     AudioTranscriptionBody,
     DeleteFaceImagesBody,
+    GenerateObjectExamplesBody,
+    GenerateStateExamplesBody,
     RenameFaceBody,
 )
 from frigate.api.defs.response.classification_response import (
@@ -27,10 +31,18 @@ from frigate.api.defs.response.generic_response import GenericResponse
 from frigate.api.defs.tags import Tags
 from frigate.config import FrigateConfig
 from frigate.config.camera import DetectConfig
-from frigate.const import CLIPS_DIR, FACE_DIR
+from frigate.config.classification import ObjectClassificationType
+from frigate.const import CLIPS_DIR, FACE_DIR, MODEL_CACHE_DIR
 from frigate.embeddings import EmbeddingsContext
 from frigate.models import Event
-from frigate.util.path import get_event_snapshot
+from frigate.util.classification import (
+    collect_object_classification_examples,
+    collect_state_classification_examples,
+    get_dataset_image_count,
+    read_training_metadata,
+    write_training_metadata,
+)
+from frigate.util.file import get_event_snapshot
 
 logger = logging.getLogger(__name__)
 
@@ -104,9 +116,18 @@ def reclassify_face(request: Request, body: dict = None):
     context: EmbeddingsContext = request.app.embeddings
     response = context.reprocess_face(training_file)
 
+    if not isinstance(response, dict):
+        return JSONResponse(
+            status_code=500,
+            content={
+                "success": False,
+                "message": "Could not process request.",
+            },
+        )
+
     return JSONResponse(
+        status_code=200 if response.get("success", True) else 400,
         content=response,
-        status_code=200,
     )
 
 
@@ -159,8 +180,7 @@ def train_face(request: Request, name: str, body: dict = None):
     new_name = f"{sanitized_name}-{datetime.datetime.now().timestamp()}.webp"
     new_file_folder = os.path.join(FACE_DIR, f"{sanitized_name}")
 
-    if not os.path.exists(new_file_folder):
-        os.mkdir(new_file_folder)
+    os.makedirs(new_file_folder, exist_ok=True)
 
     if training_file_name:
         shutil.move(training_file, os.path.join(new_file_folder, new_name))
@@ -524,6 +544,7 @@ def transcribe_audio(request: Request, body: AudioTranscriptionBody):
             status_code=409,  # 409 Conflict
         )
     else:
+        logger.debug(f"Failed to transcribe audio, response: {response}")
         return JSONResponse(
             content={
                 "success": False,
@@ -548,23 +569,112 @@ def get_classification_dataset(name: str):
     dataset_dir = os.path.join(CLIPS_DIR, sanitize_filename(name), "dataset")
 
     if not os.path.exists(dataset_dir):
-        return JSONResponse(status_code=200, content={})
+        return JSONResponse(
+            status_code=200, content={"categories": {}, "training_metadata": None}
+        )
 
-    for name in os.listdir(dataset_dir):
-        category_dir = os.path.join(dataset_dir, name)
+    for category_name in os.listdir(dataset_dir):
+        category_dir = os.path.join(dataset_dir, category_name)
 
         if not os.path.isdir(category_dir):
             continue
 
-        dataset_dict[name] = []
+        dataset_dict[category_name] = []
 
         for file in filter(
             lambda f: (f.lower().endswith((".webp", ".png", ".jpg", ".jpeg"))),
             os.listdir(category_dir),
         ):
-            dataset_dict[name].append(file)
+            dataset_dict[category_name].append(file)
 
-    return JSONResponse(status_code=200, content=dataset_dict)
+    # Get training metadata
+    metadata = read_training_metadata(sanitize_filename(name))
+    current_image_count = get_dataset_image_count(sanitize_filename(name))
+
+    if metadata is None:
+        training_metadata = {
+            "has_trained": False,
+            "last_training_date": None,
+            "last_training_image_count": 0,
+            "current_image_count": current_image_count,
+            "new_images_count": current_image_count,
+            "dataset_changed": current_image_count > 0,
+        }
+    else:
+        last_training_count = metadata.get("last_training_image_count", 0)
+        # Dataset has changed if count is different (either added or deleted images)
+        dataset_changed = current_image_count != last_training_count
+        # Only show positive count for new images (ignore deletions in the count display)
+        new_images_count = max(0, current_image_count - last_training_count)
+        training_metadata = {
+            "has_trained": True,
+            "last_training_date": metadata.get("last_training_date"),
+            "last_training_image_count": last_training_count,
+            "current_image_count": current_image_count,
+            "new_images_count": new_images_count,
+            "dataset_changed": dataset_changed,
+        }
+
+    return JSONResponse(
+        status_code=200,
+        content={
+            "categories": dataset_dict,
+            "training_metadata": training_metadata,
+        },
+    )
+
+
+@router.get(
+    "/classification/attributes",
+    summary="Get custom classification attributes",
+    description="""Returns custom classification attributes for a given object type.
+    Only includes models with classification_type set to 'attribute'.
+    By default returns a flat sorted list of all attribute labels.
+    If group_by_model is true, returns attributes grouped by model name.""",
+)
+def get_custom_attributes(
+    request: Request, object_type: str = None, group_by_model: bool = False
+):
+    models_with_attributes = {}
+
+    for (
+        model_key,
+        model_config,
+    ) in request.app.frigate_config.classification.custom.items():
+        if (
+            not model_config.enabled
+            or not model_config.object_config
+            or model_config.object_config.classification_type
+            != ObjectClassificationType.attribute
+        ):
+            continue
+
+        model_objects = getattr(model_config.object_config, "objects", []) or []
+        if object_type is not None and object_type not in model_objects:
+            continue
+
+        dataset_dir = os.path.join(CLIPS_DIR, sanitize_filename(model_key), "dataset")
+        if not os.path.exists(dataset_dir):
+            continue
+
+        attributes = []
+        for category_name in os.listdir(dataset_dir):
+            category_dir = os.path.join(dataset_dir, category_name)
+            if os.path.isdir(category_dir) and category_name != "none":
+                attributes.append(category_name)
+
+        if attributes:
+            model_name = model_config.name or model_key
+            models_with_attributes[model_name] = sorted(attributes)
+
+    if group_by_model:
+        return JSONResponse(content=models_with_attributes)
+    else:
+        # Flatten to a unique sorted list
+        all_attributes = set()
+        for attributes in models_with_attributes.values():
+            all_attributes.update(attributes)
+        return JSONResponse(content=sorted(list(all_attributes)))
 
 
 @router.get(
@@ -649,18 +759,131 @@ def delete_classification_dataset_images(
         CLIPS_DIR, sanitize_filename(name), "dataset", sanitize_filename(category)
     )
 
+    deleted_count = 0
     for id in list_of_ids:
         file_path = os.path.join(folder, sanitize_filename(id))
 
         if os.path.isfile(file_path):
             os.unlink(file_path)
+            deleted_count += 1
+
+    if os.path.exists(folder) and not os.listdir(folder) and category.lower() != "none":
+        os.rmdir(folder)
+
+    # Update training metadata to reflect deleted images
+    # This ensures the dataset is marked as changed after deletion
+    # (even if the total count happens to be the same after adding and deleting)
+    if deleted_count > 0:
+        sanitized_name = sanitize_filename(name)
+        metadata = read_training_metadata(sanitized_name)
+        if metadata:
+            last_count = metadata.get("last_training_image_count", 0)
+            updated_count = max(0, last_count - deleted_count)
+            write_training_metadata(sanitized_name, updated_count)
 
     return JSONResponse(
-        content=({"success": True, "message": "Successfully deleted faces."}),
+        content=({"success": True, "message": "Successfully deleted images."}),
         status_code=200,
     )
 
 
+@router.put(
+    "/classification/{name}/dataset/{old_category}/rename",
+    response_model=GenericResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+    summary="Rename a classification category",
+    description="""Renames a classification category for a given classification model.
+    The old category must exist and the new name must be valid. Returns a success message or an error if the name is invalid.""",
+)
+def rename_classification_category(
+    request: Request, name: str, old_category: str, body: dict = None
+):
+    config: FrigateConfig = request.app.frigate_config
+
+    if name not in config.classification.custom:
+        return JSONResponse(
+            content=(
+                {
+                    "success": False,
+                    "message": f"{name} is not a known classification model.",
+                }
+            ),
+            status_code=404,
+        )
+
+    json: dict[str, Any] = body or {}
+    new_category = sanitize_filename(json.get("new_category", ""))
+
+    if not new_category:
+        return JSONResponse(
+            content=(
+                {
+                    "success": False,
+                    "message": "New category name is required.",
+                }
+            ),
+            status_code=400,
+        )
+
+    old_folder = os.path.join(
+        CLIPS_DIR, sanitize_filename(name), "dataset", sanitize_filename(old_category)
+    )
+    new_folder = os.path.join(
+        CLIPS_DIR, sanitize_filename(name), "dataset", new_category
+    )
+
+    if not os.path.exists(old_folder):
+        return JSONResponse(
+            content=(
+                {
+                    "success": False,
+                    "message": f"Category {old_category} does not exist.",
+                }
+            ),
+            status_code=404,
+        )
+
+    if os.path.exists(new_folder):
+        return JSONResponse(
+            content=(
+                {
+                    "success": False,
+                    "message": f"Category {new_category} already exists.",
+                }
+            ),
+            status_code=400,
+        )
+
+    try:
+        os.rename(old_folder, new_folder)
+
+        # Mark dataset as ready to train by resetting training metadata
+        # This ensures the dataset is marked as changed after renaming
+        sanitized_name = sanitize_filename(name)
+        write_training_metadata(sanitized_name, 0)
+
+        return JSONResponse(
+            content=(
+                {
+                    "success": True,
+                    "message": f"Successfully renamed category to {new_category}.",
+                }
+            ),
+            status_code=200,
+        )
+    except Exception as e:
+        logger.error(f"Error renaming category: {e}")
+        return JSONResponse(
+            content=(
+                {
+                    "success": False,
+                    "message": "Failed to rename category",
+                }
+            ),
+            status_code=500,
+        )
+
+
 @router.post(
     "/classification/{name}/dataset/categorize",
     response_model=GenericResponse,
@@ -701,13 +924,14 @@ def categorize_classification_image(request: Request, name: str, body: dict = No
             status_code=404,
         )
 
-    new_name = f"{category}-{datetime.datetime.now().timestamp()}.png"
+    random_id = "".join(random.choices(string.ascii_lowercase + string.digits, k=6))
+    timestamp = datetime.datetime.now().timestamp()
+    new_name = f"{category}-{timestamp}-{random_id}.png"
     new_file_folder = os.path.join(
         CLIPS_DIR, sanitize_filename(name), "dataset", category
     )
 
-    if not os.path.exists(new_file_folder):
-        os.mkdir(new_file_folder)
+    os.makedirs(new_file_folder, exist_ok=True)
 
     # use opencv because webp images can not be used to train
     img = cv2.imread(training_file)
@@ -715,7 +939,47 @@ def categorize_classification_image(request: Request, name: str, body: dict = No
     os.unlink(training_file)
 
     return JSONResponse(
-        content=({"success": True, "message": "Successfully deleted faces."}),
+        content=({"success": True, "message": "Successfully categorized image."}),
+        status_code=200,
+    )
+
+
+@router.post(
+    "/classification/{name}/dataset/{category}/create",
+    response_model=GenericResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+    summary="Create an empty classification category folder",
+    description="""Creates an empty folder for a classification category.
+    This is used to create folders for categories that don't have images yet.
+    Returns a success message or an error if the name is invalid.""",
+)
+def create_classification_category(request: Request, name: str, category: str):
+    config: FrigateConfig = request.app.frigate_config
+
+    if name not in config.classification.custom:
+        return JSONResponse(
+            content=(
+                {
+                    "success": False,
+                    "message": f"{name} is not a known classification model.",
+                }
+            ),
+            status_code=404,
+        )
+
+    category_folder = os.path.join(
+        CLIPS_DIR, sanitize_filename(name), "dataset", sanitize_filename(category)
+    )
+
+    os.makedirs(category_folder, exist_ok=True)
+
+    return JSONResponse(
+        content=(
+            {
+                "success": True,
+                "message": f"Successfully created category folder: {category}",
+            }
+        ),
         status_code=200,
     )
 
@@ -753,6 +1017,87 @@ def delete_classification_train_images(request: Request, name: str, body: dict =
             os.unlink(file_path)
 
     return JSONResponse(
-        content=({"success": True, "message": "Successfully deleted faces."}),
+        content=({"success": True, "message": "Successfully deleted images."}),
+        status_code=200,
+    )
+
+
+@router.post(
+    "/classification/generate_examples/state",
+    response_model=GenericResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+    summary="Generate state classification examples",
+)
+async def generate_state_examples(request: Request, body: GenerateStateExamplesBody):
+    """Generate examples for state classification."""
+    model_name = sanitize_filename(body.model_name)
+    cameras_normalized = {
+        camera_name: tuple(crop)
+        for camera_name, crop in body.cameras.items()
+        if camera_name in request.app.frigate_config.cameras
+    }
+
+    collect_state_classification_examples(model_name, cameras_normalized)
+
+    return JSONResponse(
+        content={"success": True, "message": "Example generation completed"},
+        status_code=200,
+    )
+
+
+@router.post(
+    "/classification/generate_examples/object",
+    response_model=GenericResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+    summary="Generate object classification examples",
+)
+async def generate_object_examples(request: Request, body: GenerateObjectExamplesBody):
+    """Generate examples for object classification."""
+    model_name = sanitize_filename(body.model_name)
+    collect_object_classification_examples(model_name, body.label)
+
+    return JSONResponse(
+        content={"success": True, "message": "Example generation completed"},
+        status_code=200,
+    )
+
+
+@router.delete(
+    "/classification/{name}",
+    response_model=GenericResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+    summary="Delete a classification model",
+    description="""Deletes a specific classification model and all its associated data.
+    Works even if the model is not in the config (e.g., partially created during wizard).
+    Returns a success message.""",
+)
+def delete_classification_model(request: Request, name: str):
+    sanitized_name = sanitize_filename(name)
+
+    # Delete the classification model's data directory in clips
+    data_dir = os.path.join(CLIPS_DIR, sanitized_name)
+    if os.path.exists(data_dir):
+        try:
+            shutil.rmtree(data_dir)
+            logger.info(f"Deleted classification data directory for {name}")
+        except Exception as e:
+            logger.debug(f"Failed to delete data directory for {name}: {e}")
+
+    # Delete the classification model's files in model_cache
+    model_dir = os.path.join(MODEL_CACHE_DIR, sanitized_name)
+    if os.path.exists(model_dir):
+        try:
+            shutil.rmtree(model_dir)
+            logger.info(f"Deleted classification model directory for {name}")
+        except Exception as e:
+            logger.debug(f"Failed to delete model directory for {name}: {e}")
+
+    return JSONResponse(
+        content=(
+            {
+                "success": True,
+                "message": f"Successfully deleted classification model {name}.",
+            }
+        ),
         status_code=200,
     )
diff --git a/frigate/api/defs/query/events_query_parameters.py b/frigate/api/defs/query/events_query_parameters.py
index 187dd3f91..8e5a5391a 100644
--- a/frigate/api/defs/query/events_query_parameters.py
+++ b/frigate/api/defs/query/events_query_parameters.py
@@ -12,6 +12,7 @@ class EventsQueryParams(BaseModel):
     labels: Optional[str] = "all"
     sub_label: Optional[str] = "all"
     sub_labels: Optional[str] = "all"
+    attributes: Optional[str] = "all"
     zone: Optional[str] = "all"
     zones: Optional[str] = "all"
     limit: Optional[int] = 100
@@ -58,6 +59,8 @@ class EventsSearchQueryParams(BaseModel):
     limit: Optional[int] = 50
     cameras: Optional[str] = "all"
     labels: Optional[str] = "all"
+    sub_labels: Optional[str] = "all"
+    attributes: Optional[str] = "all"
     zones: Optional[str] = "all"
     after: Optional[float] = None
     before: Optional[float] = None
diff --git a/frigate/api/defs/query/review_query_parameters.py b/frigate/api/defs/query/review_query_parameters.py
index ee9af740e..6d01d824d 100644
--- a/frigate/api/defs/query/review_query_parameters.py
+++ b/frigate/api/defs/query/review_query_parameters.py
@@ -10,7 +10,7 @@ class ReviewQueryParams(BaseModel):
     cameras: str = "all"
     labels: str = "all"
     zones: str = "all"
-    reviewed: int = 0
+    reviewed: Union[int, SkipJsonSchema[None]] = None
     limit: Union[int, SkipJsonSchema[None]] = None
     severity: Union[SeverityEnum, SkipJsonSchema[None]] = None
     before: Union[float, SkipJsonSchema[None]] = None
diff --git a/frigate/api/defs/request/app_body.py b/frigate/api/defs/request/app_body.py
index 7f8ca40ec..c4129d8da 100644
--- a/frigate/api/defs/request/app_body.py
+++ b/frigate/api/defs/request/app_body.py
@@ -11,6 +11,7 @@ class AppConfigSetBody(BaseModel):
 
 class AppPutPasswordBody(BaseModel):
     password: str
+    old_password: Optional[str] = None
 
 
 class AppPostUsersBody(BaseModel):
diff --git a/frigate/api/defs/request/classification_body.py b/frigate/api/defs/request/classification_body.py
index dabff0912..fb6a7dd0f 100644
--- a/frigate/api/defs/request/classification_body.py
+++ b/frigate/api/defs/request/classification_body.py
@@ -1,17 +1,31 @@
-from typing import List
+from typing import Dict, List, Tuple
 
 from pydantic import BaseModel, Field
 
 
 class RenameFaceBody(BaseModel):
-    new_name: str
+    new_name: str = Field(description="New name for the face")
 
 
 class AudioTranscriptionBody(BaseModel):
-    event_id: str
+    event_id: str = Field(description="ID of the event to transcribe audio for")
 
 
 class DeleteFaceImagesBody(BaseModel):
     ids: List[str] = Field(
         description="List of image filenames to delete from the face folder"
     )
+
+
+class GenerateStateExamplesBody(BaseModel):
+    model_name: str = Field(description="Name of the classification model")
+    cameras: Dict[str, Tuple[float, float, float, float]] = Field(
+        description="Dictionary mapping camera names to normalized crop coordinates in [x1, y1, x2, y2] format (values 0-1)"
+    )
+
+
+class GenerateObjectExamplesBody(BaseModel):
+    model_name: str = Field(description="Name of the classification model")
+    label: str = Field(
+        description="Object label to collect examples for (e.g., 'person', 'car')"
+    )
diff --git a/frigate/api/defs/request/events_body.py b/frigate/api/defs/request/events_body.py
index dd18ff8f7..50754e92a 100644
--- a/frigate/api/defs/request/events_body.py
+++ b/frigate/api/defs/request/events_body.py
@@ -24,12 +24,18 @@ class EventsLPRBody(BaseModel):
     )
 
 
+class EventsAttributesBody(BaseModel):
+    attributes: List[str] = Field(
+        title="Selected classification attributes for the event",
+        default_factory=list,
+    )
+
+
 class EventsDescriptionBody(BaseModel):
     description: Union[str, None] = Field(title="The description of the event")
 
 
 class EventsCreateBody(BaseModel):
-    source_type: Optional[str] = "api"
     sub_label: Optional[str] = None
     score: Optional[float] = 0
     duration: Optional[int] = 30
diff --git a/frigate/api/defs/request/export_recordings_body.py b/frigate/api/defs/request/export_recordings_body.py
index eb6c15155..19fc2f019 100644
--- a/frigate/api/defs/request/export_recordings_body.py
+++ b/frigate/api/defs/request/export_recordings_body.py
@@ -1,4 +1,4 @@
-from typing import Union
+from typing import Optional, Union
 
 from pydantic import BaseModel, Field
 from pydantic.json_schema import SkipJsonSchema
@@ -16,5 +16,5 @@ class ExportRecordingsBody(BaseModel):
     source: PlaybackSourceEnum = Field(
         default=PlaybackSourceEnum.recordings, title="Playback source"
     )
-    name: str = Field(title="Friendly name", default=None, max_length=256)
+    name: Optional[str] = Field(title="Friendly name", default=None, max_length=256)
     image_path: Union[str, SkipJsonSchema[None]] = None
diff --git a/frigate/api/defs/request/review_body.py b/frigate/api/defs/request/review_body.py
index 991f190f8..6dc710035 100644
--- a/frigate/api/defs/request/review_body.py
+++ b/frigate/api/defs/request/review_body.py
@@ -4,3 +4,5 @@ from pydantic import BaseModel, conlist, constr
 class ReviewModifyMultipleBody(BaseModel):
     # List of string with at least one element and each element with at least one char
     ids: conlist(constr(min_length=1), min_length=1)
+    # Whether to mark items as reviewed (True) or unreviewed (False)
+    reviewed: bool = True
diff --git a/frigate/api/defs/tags.py b/frigate/api/defs/tags.py
index a4e354b2a..f804385d1 100644
--- a/frigate/api/defs/tags.py
+++ b/frigate/api/defs/tags.py
@@ -3,6 +3,7 @@ from enum import Enum
 
 class Tags(Enum):
     app = "App"
+    camera = "Camera"
     preview = "Preview"
     logs = "Logs"
     media = "Media"
diff --git a/frigate/api/event.py b/frigate/api/event.py
index 0065aed2a..ea5cfb29c 100644
--- a/frigate/api/event.py
+++ b/frigate/api/event.py
@@ -2,6 +2,7 @@
 
 import base64
 import datetime
+import json
 import logging
 import os
 import random
@@ -21,6 +22,7 @@ from peewee import JOIN, DoesNotExist, fn, operator
 from playhouse.shortcuts import model_to_dict
 
 from frigate.api.auth import (
+    allow_any_authenticated,
     get_allowed_cameras_for_filter,
     require_camera_access,
     require_role,
@@ -35,6 +37,7 @@ from frigate.api.defs.query.regenerate_query_parameters import (
     RegenerateQueryParameters,
 )
 from frigate.api.defs.request.events_body import (
+    EventsAttributesBody,
     EventsCreateBody,
     EventsDeleteBody,
     EventsDescriptionBody,
@@ -53,12 +56,13 @@ from frigate.api.defs.response.event_response import (
 from frigate.api.defs.response.generic_response import GenericResponse
 from frigate.api.defs.tags import Tags
 from frigate.comms.event_metadata_updater import EventMetadataTypeEnum
+from frigate.config.classification import ObjectClassificationType
 from frigate.const import CLIPS_DIR, TRIGGER_DIR
 from frigate.embeddings import EmbeddingsContext
 from frigate.models import Event, ReviewSegment, Timeline, Trigger
 from frigate.track.object_processing import TrackedObject
-from frigate.util.builtin import get_tz_modifiers
-from frigate.util.path import get_event_thumbnail_bytes
+from frigate.util.file import get_event_thumbnail_bytes
+from frigate.util.time import get_dst_transitions, get_tz_modifiers
 
 logger = logging.getLogger(__name__)
 
@@ -68,6 +72,7 @@ router = APIRouter(tags=[Tags.events])
 @router.get(
     "/events",
     response_model=list[EventResponse],
+    dependencies=[Depends(allow_any_authenticated())],
     summary="Get events",
     description="Returns a list of events.",
 )
@@ -96,6 +101,8 @@ def events(
     if sub_labels == "all" and sub_label != "all":
         sub_labels = sub_label
 
+    attributes = unquote(params.attributes)
+
     zone = params.zone
     zones = params.zones
 
@@ -184,6 +191,17 @@ def events(
         sub_label_clause = reduce(operator.or_, sub_label_clauses)
         clauses.append((sub_label_clause))
 
+    if attributes != "all":
+        # Custom classification results are stored as data[model_name] = result_value
+        filtered_attributes = attributes.split(",")
+        attribute_clauses = []
+
+        for attr in filtered_attributes:
+            attribute_clauses.append(Event.data.cast("text") % f'*:"{attr}"*')
+
+        attribute_clause = reduce(operator.or_, attribute_clauses)
+        clauses.append(attribute_clause)
+
     if recognized_license_plate != "all":
         filtered_recognized_license_plates = recognized_license_plate.split(",")
 
@@ -342,7 +360,8 @@ def events(
 @router.get(
     "/events/explore",
     response_model=list[EventResponse],
-    summary="Get summary of objects.",
+    dependencies=[Depends(allow_any_authenticated())],
+    summary="Get summary of objects",
     description="""Gets a summary of objects from the database.
     Returns a list of objects with a max of `limit` objects for each label.
     """,
@@ -434,7 +453,8 @@ def events_explore(
 @router.get(
     "/event_ids",
     response_model=list[EventResponse],
-    summary="Get events by ids.",
+    dependencies=[Depends(allow_any_authenticated())],
+    summary="Get events by ids",
     description="""Gets events by a list of ids.
     Returns a list of events.
     """,
@@ -467,7 +487,8 @@ async def event_ids(ids: str, request: Request):
 
 @router.get(
     "/events/search",
-    summary="Search events.",
+    dependencies=[Depends(allow_any_authenticated())],
+    summary="Search events",
     description="""Searches for events in the database.
     Returns a list of events.
     """,
@@ -486,6 +507,8 @@ def events_search(
     # Filters
     cameras = params.cameras
     labels = params.labels
+    sub_labels = params.sub_labels
+    attributes = params.attributes
     zones = params.zones
     after = params.after
     before = params.before
@@ -560,6 +583,38 @@ def events_search(
     if labels != "all":
         event_filters.append((Event.label << labels.split(",")))
 
+    if sub_labels != "all":
+        # use matching so joined sub labels are included
+        # for example a sub label 'bob' would get events
+        # with sub labels 'bob' and 'bob, john'
+        sub_label_clauses = []
+        filtered_sub_labels = sub_labels.split(",")
+
+        if "None" in filtered_sub_labels:
+            filtered_sub_labels.remove("None")
+            sub_label_clauses.append((Event.sub_label.is_null()))
+
+        for label in filtered_sub_labels:
+            sub_label_clauses.append(
+                (Event.sub_label.cast("text") == label)
+            )  # include exact matches
+
+            # include this label when part of a list
+            sub_label_clauses.append((Event.sub_label.cast("text") % f"*{label},*"))
+            sub_label_clauses.append((Event.sub_label.cast("text") % f"*, {label}*"))
+
+        event_filters.append((reduce(operator.or_, sub_label_clauses)))
+
+    if attributes != "all":
+        # Custom classification results are stored as data[model_name] = result_value
+        filtered_attributes = attributes.split(",")
+        attribute_clauses = []
+
+        for attr in filtered_attributes:
+            attribute_clauses.append(Event.data.cast("text") % f'*:"{attr}"*')
+
+        event_filters.append(reduce(operator.or_, attribute_clauses))
+
     if zones != "all":
         zone_clauses = []
         filtered_zones = zones.split(",")
@@ -807,13 +862,12 @@ def events_search(
     return JSONResponse(content=processed_events)
 
 
-@router.get("/events/summary")
+@router.get("/events/summary", dependencies=[Depends(allow_any_authenticated())])
 def events_summary(
     params: EventsSummaryQueryParams = Depends(),
     allowed_cameras: List[str] = Depends(get_allowed_cameras_for_filter),
 ):
     tz_name = params.timezone
-    hour_modifier, minute_modifier, seconds_offset = get_tz_modifiers(tz_name)
     has_clip = params.has_clip
     has_snapshot = params.has_snapshot
 
@@ -828,39 +882,98 @@ def events_summary(
     if len(clauses) == 0:
         clauses.append((True))
 
-    groups = (
+    time_range_query = (
         Event.select(
-            Event.camera,
-            Event.label,
-            Event.sub_label,
-            Event.data,
-            fn.strftime(
-                "%Y-%m-%d",
-                fn.datetime(
-                    Event.start_time, "unixepoch", hour_modifier, minute_modifier
-                ),
-            ).alias("day"),
-            Event.zones,
-            fn.COUNT(Event.id).alias("count"),
+            fn.MIN(Event.start_time).alias("min_time"),
+            fn.MAX(Event.start_time).alias("max_time"),
         )
         .where(reduce(operator.and_, clauses) & (Event.camera << allowed_cameras))
-        .group_by(
-            Event.camera,
-            Event.label,
-            Event.sub_label,
-            Event.data,
-            (Event.start_time + seconds_offset).cast("int") / (3600 * 24),
-            Event.zones,
-        )
+        .dicts()
+        .get()
     )
 
-    return JSONResponse(content=[e for e in groups.dicts()])
+    min_time = time_range_query.get("min_time")
+    max_time = time_range_query.get("max_time")
+
+    if min_time is None or max_time is None:
+        return JSONResponse(content=[])
+
+    dst_periods = get_dst_transitions(tz_name, min_time, max_time)
+
+    grouped: dict[tuple, dict] = {}
+
+    for period_start, period_end, period_offset in dst_periods:
+        hours_offset = int(period_offset / 60 / 60)
+        minutes_offset = int(period_offset / 60 - hours_offset * 60)
+        period_hour_modifier = f"{hours_offset} hour"
+        period_minute_modifier = f"{minutes_offset} minute"
+
+        period_groups = (
+            Event.select(
+                Event.camera,
+                Event.label,
+                Event.sub_label,
+                Event.data,
+                fn.strftime(
+                    "%Y-%m-%d",
+                    fn.datetime(
+                        Event.start_time,
+                        "unixepoch",
+                        period_hour_modifier,
+                        period_minute_modifier,
+                    ),
+                ).alias("day"),
+                Event.zones,
+                fn.COUNT(Event.id).alias("count"),
+            )
+            .where(
+                reduce(operator.and_, clauses)
+                & (Event.camera << allowed_cameras)
+                & (Event.start_time >= period_start)
+                & (Event.start_time <= period_end)
+            )
+            .group_by(
+                Event.camera,
+                Event.label,
+                Event.sub_label,
+                Event.data,
+                (Event.start_time + period_offset).cast("int") / (3600 * 24),
+                Event.zones,
+            )
+            .namedtuples()
+        )
+
+        for g in period_groups:
+            key = (
+                g.camera,
+                g.label,
+                g.sub_label,
+                json.dumps(g.data, sort_keys=True) if g.data is not None else None,
+                g.day,
+                json.dumps(g.zones, sort_keys=True) if g.zones is not None else None,
+            )
+
+            if key in grouped:
+                grouped[key]["count"] += int(g.count or 0)
+            else:
+                grouped[key] = {
+                    "camera": g.camera,
+                    "label": g.label,
+                    "sub_label": g.sub_label,
+                    "data": g.data,
+                    "day": g.day,
+                    "zones": g.zones,
+                    "count": int(g.count or 0),
+                }
+
+    return JSONResponse(content=sorted(grouped.values(), key=lambda x: x["day"]))
 
 
 @router.get(
     "/events/{event_id}",
     response_model=EventResponse,
-    summary="Get event by id.",
+    dependencies=[Depends(allow_any_authenticated())],
+    summary="Get event by id",
     description="Gets an event by its id.",
 )
 async def event(event_id: str, request: Request):
@@ -903,7 +1016,8 @@ def set_retain(event_id: str):
 @router.post(
     "/events/{event_id}/plus",
     response_model=EventUploadPlusResponse,
-    summary="Send event to Frigate+.",
+    dependencies=[Depends(require_role(["admin"]))],
+    summary="Send event to Frigate+",
     description="""Sends an event to Frigate+.
     Returns a success message or an error if the event is not found.
     """,
@@ -939,12 +1053,12 @@ async def send_to_plus(request: Request, event_id: str, body: SubmitPlusBody = N
         include_annotation = None
 
     if event.end_time is None:
-        logger.error(f"Unable to load clean png for in-progress event: {event.id}")
+        logger.error(f"Unable to load clean snapshot for in-progress event: {event.id}")
         return JSONResponse(
             content=(
                 {
                     "success": False,
-                    "message": "Unable to load clean png for in-progress event",
+                    "message": "Unable to load clean snapshot for in-progress event",
                 }
             ),
             status_code=400,
@@ -957,24 +1071,44 @@ async def send_to_plus(request: Request, event_id: str, body: SubmitPlusBody = N
             content=({"success": False, "message": message}), status_code=400
         )
 
-    # load clean.png
+    # load clean.webp or clean.png (legacy)
     try:
-        filename = f"{event.camera}-{event.id}-clean.png"
-        image = cv2.imread(os.path.join(CLIPS_DIR, filename))
+        filename_webp = f"{event.camera}-{event.id}-clean.webp"
+        filename_png = f"{event.camera}-{event.id}-clean.png"
+
+        image_path = None
+        if os.path.exists(os.path.join(CLIPS_DIR, filename_webp)):
+            image_path = os.path.join(CLIPS_DIR, filename_webp)
+        elif os.path.exists(os.path.join(CLIPS_DIR, filename_png)):
+            image_path = os.path.join(CLIPS_DIR, filename_png)
+
+        if image_path is None:
+            logger.error(f"Unable to find clean snapshot for event: {event.id}")
+            return JSONResponse(
+                content=(
+                    {
+                        "success": False,
+                        "message": "Unable to find clean snapshot for event",
+                    }
+                ),
+                status_code=400,
+            )
+
+        image = cv2.imread(image_path)
     except Exception:
-        logger.error(f"Unable to load clean png for event: {event.id}")
+        logger.error(f"Unable to load clean snapshot for event: {event.id}")
         return JSONResponse(
             content=(
-                {"success": False, "message": "Unable to load clean png for event"}
+                {"success": False, "message": "Unable to load clean snapshot for event"}
             ),
             status_code=400,
         )
 
     if image is None or image.size == 0:
-        logger.error(f"Unable to load clean png for event: {event.id}")
+        logger.error(f"Unable to load clean snapshot for event: {event.id}")
         return JSONResponse(
             content=(
-                {"success": False, "message": "Unable to load clean png for event"}
+                {"success": False, "message": "Unable to load clean snapshot for event"}
             ),
             status_code=400,
         )
@@ -1023,6 +1157,7 @@ async def send_to_plus(request: Request, event_id: str, body: SubmitPlusBody = N
 @router.put(
     "/events/{event_id}/false_positive",
     response_model=EventUploadPlusResponse,
+    dependencies=[Depends(require_role(["admin"]))],
     summary="Submit false positive to Frigate+",
     description="""Submit an event as a false positive to Frigate+.
     This endpoint is the same as the standard Frigate+ submission endpoint,
@@ -1121,7 +1256,7 @@ async def false_positive(request: Request, event_id: str):
     "/events/{event_id}/retain",
     response_model=GenericResponse,
     dependencies=[Depends(require_role(["admin"]))],
-    summary="Stop event from being retained indefinitely.",
+    summary="Stop event from being retained indefinitely",
     description="""Stops an event from being retained indefinitely.
     Returns a success message or an error if the event is not found.
     NOTE: This is a legacy endpoint and is not supported in the frontend.
@@ -1150,7 +1285,7 @@ async def delete_retain(event_id: str, request: Request):
     "/events/{event_id}/sub_label",
     response_model=GenericResponse,
     dependencies=[Depends(require_role(["admin"]))],
-    summary="Set event sub label.",
+    summary="Set event sub label",
     description="""Sets an event's sub label.
     Returns a success message or an error if the event is not found.
     """,
@@ -1209,7 +1344,7 @@ async def set_sub_label(
     "/events/{event_id}/recognized_license_plate",
     response_model=GenericResponse,
     dependencies=[Depends(require_role(["admin"]))],
-    summary="Set event license plate.",
+    summary="Set event license plate",
     description="""Sets an event's license plate.
     Returns a success message or an error if the event is not found.
     """,
@@ -1265,11 +1400,112 @@ async def set_plate(
     )
 
 
+@router.post(
+    "/events/{event_id}/attributes",
+    response_model=GenericResponse,
+    dependencies=[Depends(require_role(["admin"]))],
+    summary="Set custom classification attributes",
+    description=(
+        "Sets an event's custom classification attributes for all attribute-type "
+        "models that apply to the event's object type."
+    ),
+)
+async def set_attributes(
+    request: Request,
+    event_id: str,
+    body: EventsAttributesBody,
+):
+    try:
+        event: Event = Event.get(Event.id == event_id)
+        await require_camera_access(event.camera, request=request)
+    except DoesNotExist:
+        return JSONResponse(
+            content=({"success": False, "message": f"Event {event_id} not found."}),
+            status_code=404,
+        )
+
+    object_type = event.label
+    selected_attributes = set(body.attributes or [])
+    applied_updates: list[dict[str, str | float | None]] = []
+
+    for (
+        model_key,
+        model_config,
+    ) in request.app.frigate_config.classification.custom.items():
+        # Only apply to enabled attribute classifiers that target this object type
+        if (
+            not model_config.enabled
+            or not model_config.object_config
+            or model_config.object_config.classification_type
+            != ObjectClassificationType.attribute
+            or object_type not in (model_config.object_config.objects or [])
+        ):
+            continue
+
+        # Get available labels from dataset directory
+        dataset_dir = os.path.join(CLIPS_DIR, sanitize_filename(model_key), "dataset")
+        available_labels = set()
+
+        if os.path.exists(dataset_dir):
+            for category_name in os.listdir(dataset_dir):
+                category_dir = os.path.join(dataset_dir, category_name)
+                if os.path.isdir(category_dir):
+                    available_labels.add(category_name)
+
+        if not available_labels:
+            logger.warning(
+                "No dataset found for custom attribute model %s at %s",
+                model_key,
+                dataset_dir,
+            )
+            continue
+
+        # Find all selected attributes that apply to this model
+        model_name = model_config.name or model_key
+        matching_attrs = selected_attributes & available_labels
+
+        if matching_attrs:
+            # Publish updates for each selected attribute
+            for attr in matching_attrs:
+                request.app.event_metadata_updater.publish(
+                    (event_id, model_name, attr, 1.0),
+                    EventMetadataTypeEnum.attribute.value,
+                )
+                applied_updates.append(
+                    {"model": model_name, "label": attr, "score": 1.0}
+                )
+        else:
+            # Clear this model's attribute
+            request.app.event_metadata_updater.publish(
+                (event_id, model_name, None, None),
+                EventMetadataTypeEnum.attribute.value,
+            )
+            applied_updates.append({"model": model_name, "label": None, "score": None})
+
+    if len(applied_updates) == 0:
+        return JSONResponse(
+            content={
+                "success": False,
+                "message": "No matching attributes found for this object type.",
+            },
+            status_code=400,
+        )
+
+    return JSONResponse(
+        content={
+            "success": True,
+            "message": f"Updated {len(applied_updates)} attribute(s)",
+            "applied": applied_updates,
+        },
+        status_code=200,
+    )
+
+
 @router.post(
     "/events/{event_id}/description",
     response_model=GenericResponse,
     dependencies=[Depends(require_role(["admin"]))],
-    summary="Set event description.",
+    summary="Set event description",
     description="""Sets an event's description.
     Returns a success message or an error if the event is not found.
     """,
@@ -1325,7 +1561,7 @@ async def set_description(
     "/events/{event_id}/description/regenerate",
     response_model=GenericResponse,
     dependencies=[Depends(require_role(["admin"]))],
-    summary="Regenerate event description.",
+    summary="Regenerate event description",
     description="""Regenerates an event's description.
     Returns a success message or an error if the event is not found.
     """,
@@ -1377,8 +1613,8 @@ async def regenerate_description(
 @router.post(
     "/description/generate",
     response_model=GenericResponse,
-    # dependencies=[Depends(require_role(["admin"]))],
-    summary="Generate description embedding.",
+    dependencies=[Depends(require_role(["admin"]))],
+    summary="Generate description embedding",
     description="""Generates an embedding for an event's description.
     Returns a success message or an error if the event is not found.
     """,
@@ -1422,6 +1658,7 @@ async def delete_single_event(event_id: str, request: Request) -> dict:
         snapshot_paths = [
             Path(f"{os.path.join(CLIPS_DIR, media_name)}.jpg"),
             Path(f"{os.path.join(CLIPS_DIR, media_name)}-clean.png"),
+            Path(f"{os.path.join(CLIPS_DIR, media_name)}-clean.webp"),
         ]
         for media in snapshot_paths:
             media.unlink(missing_ok=True)
@@ -1442,7 +1679,7 @@ async def delete_single_event(event_id: str, request: Request) -> dict:
     "/events/{event_id}",
     response_model=GenericResponse,
     dependencies=[Depends(require_role(["admin"]))],
-    summary="Delete event.",
+    summary="Delete event",
     description="""Deletes an event from the database.
     Returns a success message or an error if the event is not found.
     """,
@@ -1457,7 +1694,7 @@ async def delete_event(request: Request, event_id: str):
     "/events/",
     response_model=EventMultiDeleteResponse,
     dependencies=[Depends(require_role(["admin"]))],
-    summary="Delete events.",
+    summary="Delete events",
     description="""Deletes a list of events from the database.
     Returns a success message or an error if the events are not found.
     """,
@@ -1491,7 +1728,7 @@ async def delete_events(request: Request, body: EventsDeleteBody):
     "/events/{camera_name}/{label}/create",
     response_model=EventCreateResponse,
     dependencies=[Depends(require_role(["admin"]))],
-    summary="Create manual event.",
+    summary="Create manual event",
     description="""Creates a manual event in the database.
     Returns a success message or an error if the event is not found.
     NOTES:
@@ -1533,7 +1770,7 @@ def create_event(
             body.score,
             body.sub_label,
             body.duration,
-            body.source_type,
+            "api",
             body.draw,
         ),
         EventMetadataTypeEnum.manual_event_create.value,
@@ -1555,7 +1792,7 @@ def create_event(
     "/events/{event_id}/end",
     response_model=GenericResponse,
     dependencies=[Depends(require_role(["admin"]))],
-    summary="End manual event.",
+    summary="End manual event",
     description="""Ends a manual event.
     Returns a success message or an error if the event is not found.
     NOTE: This should only be used for manual events.
@@ -1565,10 +1802,27 @@ async def end_event(request: Request, event_id: str, body: EventsEndBody):
     try:
         event: Event = Event.get(Event.id == event_id)
         await require_camera_access(event.camera, request=request)
+
+        if body.end_time is not None and body.end_time < event.start_time:
+            return JSONResponse(
+                content=(
+                    {
+                        "success": False,
+                        "message": f"end_time ({body.end_time}) cannot be before start_time ({event.start_time}).",
+                    }
+                ),
+                status_code=400,
+            )
+
         end_time = body.end_time or datetime.datetime.now().timestamp()
         request.app.event_metadata_updater.publish(
             (event_id, end_time), EventMetadataTypeEnum.manual_event_end.value
         )
+    except DoesNotExist:
+        return JSONResponse(
+            content=({"success": False, "message": f"Event {event_id} not found."}),
+            status_code=404,
+        )
     except Exception:
         return JSONResponse(
             content=(
@@ -1587,7 +1841,7 @@ async def end_event(request: Request, event_id: str, body: EventsEndBody):
     "/trigger/embedding",
     response_model=dict,
     dependencies=[Depends(require_role(["admin"]))],
-    summary="Create trigger embedding.",
+    summary="Create trigger embedding",
     description="""Creates a trigger embedding for a specific trigger.
     Returns a success message or an error if the trigger is not found.
     """,
@@ -1644,37 +1898,40 @@ def create_trigger_embedding(
             if event.data.get("type") != "object":
                 return
 
-            if thumbnail := get_event_thumbnail_bytes(event):
-                cursor = context.db.execute_sql(
-                    """
-                    SELECT thumbnail_embedding FROM vec_thumbnails WHERE id = ?
-                    """,
-                    [body.data],
+            # Get the thumbnail
+            thumbnail = get_event_thumbnail_bytes(event)
+
+            if thumbnail is None:
+                return JSONResponse(
+                    content={
+                        "success": False,
+                        "message": f"Failed to get thumbnail for {body.data} for {body.type} trigger",
+                    },
+                    status_code=400,
                 )
 
-                row = cursor.fetchone() if cursor else None
+            # Try to reuse existing embedding from database
+            cursor = context.db.execute_sql(
+                """
+                SELECT thumbnail_embedding FROM vec_thumbnails WHERE id = ?
+                """,
+                [body.data],
+            )
 
-                if row:
-                    query_embedding = row[0]
-                    embedding = np.frombuffer(query_embedding, dtype=np.float32)
+            row = cursor.fetchone() if cursor else None
+
+            if row:
+                query_embedding = row[0]
+                embedding = np.frombuffer(query_embedding, dtype=np.float32)
             else:
-                # Extract valid thumbnail
-                thumbnail = get_event_thumbnail_bytes(event)
-
-                if thumbnail is None:
-                    return JSONResponse(
-                        content={
-                            "success": False,
-                            "message": f"Failed to get thumbnail for {body.data} for {body.type} trigger",
-                        },
-                        status_code=400,
-                    )
-
+                # Generate new embedding
                 embedding = context.generate_image_embedding(
                     body.data, (base64.b64encode(thumbnail).decode("ASCII"))
                 )
 
-        if embedding is None:
+        if embedding is None or (
+            isinstance(embedding, (list, np.ndarray)) and len(embedding) == 0
+        ):
             return JSONResponse(
                 content={
                     "success": False,
@@ -1702,9 +1959,8 @@ def create_trigger_embedding(
                 logger.debug(
                     f"Writing thumbnail for trigger with data {body.data} in {camera_name}."
                 )
-            except Exception as e:
-                logger.error(e.with_traceback())
-                logger.error(
+            except Exception:
+                logger.exception(
                     f"Failed to write thumbnail for trigger with data {body.data} in {camera_name}"
                 )
 
@@ -1728,8 +1984,8 @@ def create_trigger_embedding(
             status_code=200,
         )
 
-    except Exception as e:
-        logger.error(e.with_traceback())
+    except Exception:
+        logger.exception("Error creating trigger embedding")
         return JSONResponse(
             content={
                 "success": False,
@@ -1743,7 +1999,7 @@ def create_trigger_embedding(
     "/trigger/embedding/{camera_name}/{name}",
     response_model=dict,
     dependencies=[Depends(require_role(["admin"]))],
-    summary="Update trigger embedding.",
+    summary="Update trigger embedding",
     description="""Updates a trigger embedding for a specific trigger.
     Returns a success message or an error if the trigger is not found.
     """,
@@ -1810,7 +2066,9 @@ def update_trigger_embedding(
                 body.data, (base64.b64encode(thumbnail).decode("ASCII"))
             )
 
-        if embedding is None:
+        if embedding is None or (
+            isinstance(embedding, (list, np.ndarray)) and len(embedding) == 0
+        ):
             return JSONResponse(
                 content={
                     "success": False,
@@ -1838,9 +2096,8 @@ def update_trigger_embedding(
                     logger.debug(
                         f"Deleted thumbnail for trigger with data {trigger.data} in {camera_name}."
                     )
-                except Exception as e:
-                    logger.error(e.with_traceback())
-                    logger.error(
+                except Exception:
+                    logger.exception(
                         f"Failed to delete thumbnail for trigger with data {trigger.data} in {camera_name}"
                     )
 
@@ -1879,9 +2136,8 @@ def update_trigger_embedding(
                 logger.debug(
                     f"Writing thumbnail for trigger with data {body.data} in {camera_name}."
                 )
-            except Exception as e:
-                logger.error(e.with_traceback())
-                logger.error(
+            except Exception:
+                logger.exception(
                     f"Failed to write thumbnail for trigger with data {body.data} in {camera_name}"
                 )
 
@@ -1893,8 +2149,8 @@ def update_trigger_embedding(
             status_code=200,
         )
 
-    except Exception as e:
-        logger.error(e.with_traceback())
+    except Exception:
+        logger.exception("Error updating trigger embedding")
         return JSONResponse(
             content={
                 "success": False,
@@ -1908,7 +2164,7 @@ def update_trigger_embedding(
     "/trigger/embedding/{camera_name}/{name}",
     response_model=dict,
     dependencies=[Depends(require_role(["admin"]))],
-    summary="Delete trigger embedding.",
+    summary="Delete trigger embedding",
     description="""Deletes a trigger embedding for a specific trigger.
     Returns a success message or an error if the trigger is not found.
     """,
@@ -1954,9 +2210,8 @@ def delete_trigger_embedding(
             logger.debug(
                 f"Deleted thumbnail for trigger with data {trigger.data} in {camera_name}."
             )
-        except Exception as e:
-            logger.error(e.with_traceback())
-            logger.error(
+        except Exception:
+            logger.exception(
                 f"Failed to delete thumbnail for trigger with data {trigger.data} in {camera_name}"
             )
 
@@ -1968,8 +2223,8 @@ def delete_trigger_embedding(
             status_code=200,
         )
 
-    except Exception as e:
-        logger.error(e.with_traceback())
+    except Exception:
+        logger.exception("Error deleting trigger embedding")
         return JSONResponse(
             content={
                 "success": False,
@@ -1983,7 +2238,7 @@ def delete_trigger_embedding(
     "/triggers/status/{camera_name}",
     response_model=dict,
     dependencies=[Depends(require_role(["admin"]))],
-    summary="Get triggers status.",
+    summary="Get triggers status",
     description="""Gets the status of all triggers for a specific camera.
     Returns a success message or an error if the camera is not found.
     """,
diff --git a/frigate/api/export.py b/frigate/api/export.py
index 2fbb891c2..24fed93b0 100644
--- a/frigate/api/export.py
+++ b/frigate/api/export.py
@@ -9,10 +9,12 @@ from typing import List
 import psutil
 from fastapi import APIRouter, Depends, Request
 from fastapi.responses import JSONResponse
+from pathvalidate import sanitize_filepath
 from peewee import DoesNotExist
 from playhouse.shortcuts import model_to_dict
 
 from frigate.api.auth import (
+    allow_any_authenticated,
     get_allowed_cameras_for_filter,
     require_camera_access,
     require_role,
@@ -26,14 +28,14 @@ from frigate.api.defs.response.export_response import (
 )
 from frigate.api.defs.response.generic_response import GenericResponse
 from frigate.api.defs.tags import Tags
-from frigate.const import EXPORT_DIR
+from frigate.const import CLIPS_DIR, EXPORT_DIR
 from frigate.models import Export, Previews, Recordings
 from frigate.record.export import (
     PlaybackFactorEnum,
     PlaybackSourceEnum,
     RecordingExporter,
 )
-from frigate.util.builtin import is_current_hour
+from frigate.util.time import is_current_hour
 
 logger = logging.getLogger(__name__)
 
@@ -43,6 +45,7 @@ router = APIRouter(tags=[Tags.export])
 @router.get(
     "/exports",
     response_model=ExportsResponse,
+    dependencies=[Depends(allow_any_authenticated())],
     summary="Get exports",
     description="""Gets all exports from the database for cameras the user has access to.
     Returns a list of exports ordered by date (most recent first).""",
@@ -88,7 +91,14 @@ def export_recording(
     playback_factor = body.playback
     playback_source = body.source
     friendly_name = body.name
-    existing_image = body.image_path
+    existing_image = sanitize_filepath(body.image_path) if body.image_path else None
+
+    # Ensure that existing_image is a valid path
+    if existing_image and not existing_image.startswith(CLIPS_DIR):
+        return JSONResponse(
+            content=({"success": False, "message": "Invalid image path"}),
+            status_code=400,
+        )
 
     if playback_source == "recordings":
         recordings_count = (
@@ -264,6 +274,7 @@ async def export_delete(event_id: str, request: Request):
 @router.get(
     "/exports/{export_id}",
     response_model=ExportModel,
+    dependencies=[Depends(allow_any_authenticated())],
     summary="Get a single export",
     description="""Gets a specific export by ID. The user must have access to the camera
     associated with the export.""",
diff --git a/frigate/api/fastapi_app.py b/frigate/api/fastapi_app.py
index d56f6919d..48c97dfaf 100644
--- a/frigate/api/fastapi_app.py
+++ b/frigate/api/fastapi_app.py
@@ -2,7 +2,7 @@ import logging
 import re
 from typing import Optional
 
-from fastapi import FastAPI, Request
+from fastapi import Depends, FastAPI, Request
 from fastapi.responses import JSONResponse
 from joserfc.jwk import OctKey
 from playhouse.sqliteq import SqliteQueueDatabase
@@ -15,6 +15,7 @@ from starlette_context.plugins import Plugin
 from frigate.api import app as main_app
 from frigate.api import (
     auth,
+    camera,
     classification,
     event,
     export,
@@ -23,7 +24,7 @@ from frigate.api import (
     preview,
     review,
 )
-from frigate.api.auth import get_jwt_secret, limiter
+from frigate.api.auth import get_jwt_secret, limiter, require_admin_by_default
 from frigate.comms.event_metadata_updater import (
     EventMetadataPublisher,
 )
@@ -61,11 +62,15 @@ def create_fastapi_app(
     stats_emitter: StatsEmitter,
     event_metadata_updater: EventMetadataPublisher,
     config_publisher: CameraConfigUpdatePublisher,
+    enforce_default_admin: bool = True,
 ):
     logger.info("Starting FastAPI app")
     app = FastAPI(
         debug=False,
         swagger_ui_parameters={"apisSorter": "alpha", "operationsSorter": "alpha"},
+        dependencies=[Depends(require_admin_by_default())]
+        if enforce_default_admin
+        else [],
     )
 
     # update the request_address with the x-forwarded-for header from nginx
@@ -114,6 +119,7 @@ def create_fastapi_app(
     # Routes
     # Order of include_router matters: https://fastapi.tiangolo.com/tutorial/path-params/#order-matters
     app.include_router(auth.router)
+    app.include_router(camera.router)
     app.include_router(classification.router)
     app.include_router(review.router)
     app.include_router(main_app.router)
diff --git a/frigate/api/media.py b/frigate/api/media.py
index 59bfbffae..971bfef83 100644
--- a/frigate/api/media.py
+++ b/frigate/api/media.py
@@ -22,7 +22,11 @@ from pathvalidate import sanitize_filename
 from peewee import DoesNotExist, fn, operator
 from tzlocal import get_localzone_name
 
-from frigate.api.auth import get_allowed_cameras_for_filter, require_camera_access
+from frigate.api.auth import (
+    allow_any_authenticated,
+    get_allowed_cameras_for_filter,
+    require_camera_access,
+)
 from frigate.api.defs.query.media_query_parameters import (
     Extension,
     MediaEventsSnapshotQueryParams,
@@ -44,9 +48,9 @@ from frigate.const import (
 )
 from frigate.models import Event, Previews, Recordings, Regions, ReviewSegment
 from frigate.track.object_processing import TrackedObjectProcessor
-from frigate.util.builtin import get_tz_modifiers
+from frigate.util.file import get_event_thumbnail_bytes
 from frigate.util.image import get_image_from_recording
-from frigate.util.path import get_event_thumbnail_bytes
+from frigate.util.time import get_dst_transitions
 
 logger = logging.getLogger(__name__)
 
@@ -393,7 +397,7 @@ async def submit_recording_snapshot_to_plus(
         )
 
 
-@router.get("/recordings/storage")
+@router.get("/recordings/storage", dependencies=[Depends(allow_any_authenticated())])
 def get_recordings_storage_usage(request: Request):
     recording_stats = request.app.stats_emitter.get_latest_stats()["service"][
         "storage"
@@ -417,14 +421,13 @@ def get_recordings_storage_usage(request: Request):
     return JSONResponse(content=camera_usages)
 
 
-@router.get("/recordings/summary")
+@router.get("/recordings/summary", dependencies=[Depends(allow_any_authenticated())])
 def all_recordings_summary(
     request: Request,
     params: MediaRecordingsSummaryQueryParams = Depends(),
     allowed_cameras: List[str] = Depends(get_allowed_cameras_for_filter),
 ):
     """Returns true/false by day indicating if recordings exist"""
-    hour_modifier, minute_modifier, seconds_offset = get_tz_modifiers(params.timezone)
 
     cameras = params.cameras
     if cameras != "all":
@@ -432,43 +435,72 @@ def all_recordings_summary(
         filtered = requested.intersection(allowed_cameras)
         if not filtered:
             return JSONResponse(content={})
-        cameras = ",".join(filtered)
+        camera_list = list(filtered)
     else:
-        cameras = allowed_cameras
+        camera_list = allowed_cameras
 
-    query = (
+    time_range_query = (
         Recordings.select(
-            fn.strftime(
-                "%Y-%m-%d",
-                fn.datetime(
-                    Recordings.start_time + seconds_offset,
-                    "unixepoch",
-                    hour_modifier,
-                    minute_modifier,
-                ),
-            ).alias("day")
+            fn.MIN(Recordings.start_time).alias("min_time"),
+            fn.MAX(Recordings.start_time).alias("max_time"),
         )
-        .group_by(
-            fn.strftime(
-                "%Y-%m-%d",
-                fn.datetime(
-                    Recordings.start_time + seconds_offset,
-                    "unixepoch",
-                    hour_modifier,
-                    minute_modifier,
-                ),
-            )
-        )
-        .order_by(Recordings.start_time.desc())
+        .where(Recordings.camera << camera_list)
+        .dicts()
+        .get()
     )
 
-    if params.cameras != "all":
-        query = query.where(Recordings.camera << cameras.split(","))
+    min_time = time_range_query.get("min_time")
+    max_time = time_range_query.get("max_time")
 
-    recording_days = query.namedtuples()
-    days = {day.day: True for day in recording_days}
+    if min_time is None or max_time is None:
+        return JSONResponse(content={})
 
-    return JSONResponse(content=days)
+    dst_periods = get_dst_transitions(params.timezone, min_time, max_time)
+
+    days: dict[str, bool] = {}
+
+    for period_start, period_end, period_offset in dst_periods:
+        hours_offset = int(period_offset / 60 / 60)
+        minutes_offset = int(period_offset / 60 - hours_offset * 60)
+        period_hour_modifier = f"{hours_offset} hour"
+        period_minute_modifier = f"{minutes_offset} minute"
+
+        period_query = (
+            Recordings.select(
+                fn.strftime(
+                    "%Y-%m-%d",
+                    fn.datetime(
+                        Recordings.start_time,
+                        "unixepoch",
+                        period_hour_modifier,
+                        period_minute_modifier,
+                    ),
+                ).alias("day")
+            )
+            .where(
+                (Recordings.camera << camera_list)
+                & (Recordings.end_time >= period_start)
+                & (Recordings.start_time <= period_end)
+            )
+            .group_by(
+                fn.strftime(
+                    "%Y-%m-%d",
+                    fn.datetime(
+                        Recordings.start_time,
+                        "unixepoch",
+                        period_hour_modifier,
+                        period_minute_modifier,
+                    ),
+                )
+            )
+            .order_by(Recordings.start_time.desc())
+            .namedtuples()
+        )
+
+        for g in period_query:
+            days[g.day] = True
+
+    return JSONResponse(content=dict(sorted(days.items())))
 
 
 @router.get(
@@ -476,61 +508,103 @@ def all_recordings_summary(
 )
 async def recordings_summary(camera_name: str, timezone: str = "utc"):
     """Returns hourly summary for recordings of given camera"""
-    hour_modifier, minute_modifier, seconds_offset = get_tz_modifiers(timezone)
-    recording_groups = (
+
+    time_range_query = (
         Recordings.select(
-            fn.strftime(
-                "%Y-%m-%d %H",
-                fn.datetime(
-                    Recordings.start_time, "unixepoch", hour_modifier, minute_modifier
-                ),
-            ).alias("hour"),
-            fn.SUM(Recordings.duration).alias("duration"),
-            fn.SUM(Recordings.motion).alias("motion"),
-            fn.SUM(Recordings.objects).alias("objects"),
+            fn.MIN(Recordings.start_time).alias("min_time"),
+            fn.MAX(Recordings.start_time).alias("max_time"),
         )
         .where(Recordings.camera == camera_name)
-        .group_by((Recordings.start_time + seconds_offset).cast("int") / 3600)
-        .order_by(Recordings.start_time.desc())
-        .namedtuples()
+        .dicts()
+        .get()
     )
 
-    event_groups = (
-        Event.select(
-            fn.strftime(
-                "%Y-%m-%d %H",
-                fn.datetime(
-                    Event.start_time, "unixepoch", hour_modifier, minute_modifier
-                ),
-            ).alias("hour"),
-            fn.COUNT(Event.id).alias("count"),
+    min_time = time_range_query.get("min_time")
+    max_time = time_range_query.get("max_time")
+
+    days: dict[str, dict] = {}
+
+    if min_time is None or max_time is None:
+        return JSONResponse(content=list(days.values()))
+
+    dst_periods = get_dst_transitions(timezone, min_time, max_time)
+
+    for period_start, period_end, period_offset in dst_periods:
+        hours_offset = int(period_offset / 60 / 60)
+        minutes_offset = int(period_offset / 60 - hours_offset * 60)
+        period_hour_modifier = f"{hours_offset} hour"
+        period_minute_modifier = f"{minutes_offset} minute"
+
+        recording_groups = (
+            Recordings.select(
+                fn.strftime(
+                    "%Y-%m-%d %H",
+                    fn.datetime(
+                        Recordings.start_time,
+                        "unixepoch",
+                        period_hour_modifier,
+                        period_minute_modifier,
+                    ),
+                ).alias("hour"),
+                fn.SUM(Recordings.duration).alias("duration"),
+                fn.SUM(Recordings.motion).alias("motion"),
+                fn.SUM(Recordings.objects).alias("objects"),
+            )
+            .where(
+                (Recordings.camera == camera_name)
+                & (Recordings.end_time >= period_start)
+                & (Recordings.start_time <= period_end)
+            )
+            .group_by((Recordings.start_time + period_offset).cast("int") / 3600)
+            .order_by(Recordings.start_time.desc())
+            .namedtuples()
         )
-        .where(Event.camera == camera_name, Event.has_clip)
-        .group_by((Event.start_time + seconds_offset).cast("int") / 3600)
-        .namedtuples()
-    )
 
-    event_map = {g.hour: g.count for g in event_groups}
+        event_groups = (
+            Event.select(
+                fn.strftime(
+                    "%Y-%m-%d %H",
+                    fn.datetime(
+                        Event.start_time,
+                        "unixepoch",
+                        period_hour_modifier,
+                        period_minute_modifier,
+                    ),
+                ).alias("hour"),
+                fn.COUNT(Event.id).alias("count"),
+            )
+            .where(Event.camera == camera_name, Event.has_clip)
+            .where(
+                (Event.start_time >= period_start) & (Event.start_time <= period_end)
+            )
+            .group_by((Event.start_time + period_offset).cast("int") / 3600)
+            .namedtuples()
+        )
 
-    days = {}
+        event_map = {g.hour: g.count for g in event_groups}
 
-    for recording_group in recording_groups:
-        parts = recording_group.hour.split()
-        hour = parts[1]
-        day = parts[0]
-        events_count = event_map.get(recording_group.hour, 0)
-        hour_data = {
-            "hour": hour,
-            "events": events_count,
-            "motion": recording_group.motion,
-            "objects": recording_group.objects,
-            "duration": round(recording_group.duration),
-        }
-        if day not in days:
-            days[day] = {"events": events_count, "hours": [hour_data], "day": day}
-        else:
-            days[day]["events"] += events_count
-            days[day]["hours"].append(hour_data)
+        for recording_group in recording_groups:
+            parts = recording_group.hour.split()
+            hour = parts[1]
+            day = parts[0]
+            events_count = event_map.get(recording_group.hour, 0)
+            hour_data = {
+                "hour": hour,
+                "events": events_count,
+                "motion": recording_group.motion,
+                "objects": recording_group.objects,
+                "duration": round(recording_group.duration),
+            }
+            if day in days:
+                # merge counts if already present (edge-case at DST boundary)
+                days[day]["events"] += events_count or 0
+                days[day]["hours"].append(hour_data)
+            else:
+                days[day] = {
+                    "events": events_count or 0,
+                    "hours": [hour_data],
+                    "day": day,
+                }
 
     return JSONResponse(content=list(days.values()))
 
@@ -565,7 +639,11 @@ async def recordings(
     return JSONResponse(content=list(recordings))
 
 
-@router.get("/recordings/unavailable", response_model=list[dict])
+@router.get(
+    "/recordings/unavailable",
+    response_model=list[dict],
+    dependencies=[Depends(allow_any_authenticated())],
+)
 async def no_recordings(
     request: Request,
     params: MediaRecordingsAvailabilityQueryParams = Depends(),
@@ -589,7 +667,7 @@ async def no_recordings(
     )
     scale = params.scale
 
-    clauses = [(Recordings.start_time > after) & (Recordings.end_time < before)]
+    clauses = [(Recordings.end_time >= after) & (Recordings.start_time <= before)]
     if cameras != "all":
         camera_list = cameras.split(",")
         clauses.append((Recordings.camera << camera_list))
@@ -608,33 +686,39 @@ async def no_recordings(
     # Convert recordings to list of (start, end) tuples
     recordings = [(r["start_time"], r["end_time"]) for r in data]
 
-    # Generate all time segments
-    current = after
+    # Iterate through time segments and check if each has any recording
     no_recording_segments = []
-    current_start = None
+    current = after
+    current_gap_start = None
 
     while current < before:
-        segment_end = current + scale
-        # Check if segment overlaps with any recording
+        segment_end = min(current + scale, before)
+
+        # Check if this segment overlaps with any recording
         has_recording = any(
-            start <= segment_end and end >= current for start, end in recordings
+            rec_start < segment_end and rec_end > current
+            for rec_start, rec_end in recordings
         )
+
         if not has_recording:
-            if current_start is None:
-                current_start = current  # Start a new gap
+            # This segment has no recordings
+            if current_gap_start is None:
+                current_gap_start = current  # Start a new gap
         else:
-            if current_start is not None:
+            # This segment has recordings
+            if current_gap_start is not None:
                 # End the current gap and append it
                 no_recording_segments.append(
-                    {"start_time": int(current_start), "end_time": int(current)}
+                    {"start_time": int(current_gap_start), "end_time": int(current)}
                 )
-                current_start = None
+                current_gap_start = None
+
         current = segment_end
 
     # Append the last gap if it exists
-    if current_start is not None:
+    if current_gap_start is not None:
         no_recording_segments.append(
-            {"start_time": int(current_start), "end_time": int(before)}
+            {"start_time": int(current_gap_start), "end_time": int(before)}
         )
 
     return JSONResponse(content=no_recording_segments)
@@ -686,6 +770,15 @@ async def recording_clip(
         .order_by(Recordings.start_time.asc())
     )
 
+    if recordings.count() == 0:
+        return JSONResponse(
+            content={
+                "success": False,
+                "message": "No recordings found for the specified time range",
+            },
+            status_code=400,
+        )
+
     file_name = sanitize_filename(f"playlist_{camera_name}_{start_ts}-{end_ts}.txt")
     file_path = os.path.join(CACHE_DIR, file_name)
     with open(file_path, "w") as file:
@@ -744,7 +837,19 @@ async def recording_clip(
     dependencies=[Depends(require_camera_access)],
     description="Returns an HLS playlist for the specified timestamp-range on the specified camera. Append /master.m3u8 or /index.m3u8 for HLS playback.",
 )
-async def vod_ts(camera_name: str, start_ts: float, end_ts: float):
+async def vod_ts(
+    camera_name: str,
+    start_ts: float,
+    end_ts: float,
+    force_discontinuity: bool = False,
+):
+    logger.debug(
+        "VOD: Generating VOD for %s from %s to %s with force_discontinuity=%s",
+        camera_name,
+        start_ts,
+        end_ts,
+        force_discontinuity,
+    )
     recordings = (
         Recordings.select(
             Recordings.path,
@@ -764,10 +869,19 @@ async def vod_ts(camera_name: str, start_ts: float, end_ts: float):
 
     clips = []
     durations = []
+    min_duration_ms = 100  # Minimum 100ms to ensure at least one video frame
     max_duration_ms = MAX_SEGMENT_DURATION * 1000
 
     recording: Recordings
     for recording in recordings:
+        logger.debug(
+            "VOD: processing recording: %s start=%s end=%s duration=%s",
+            recording.path,
+            recording.start_time,
+            recording.end_time,
+            recording.duration,
+        )
+
         clip = {"type": "source", "path": recording.path}
         duration = int(recording.duration * 1000)
 
@@ -776,19 +890,35 @@ async def vod_ts(camera_name: str, start_ts: float, end_ts: float):
             inpoint = int((start_ts - recording.start_time) * 1000)
             clip["clipFrom"] = inpoint
             duration -= inpoint
+            logger.debug(
+                "VOD: applied clipFrom %sms to %s",
+                inpoint,
+                recording.path,
+            )
 
         # adjust end if recording.end_time is after end_ts
         if recording.end_time > end_ts:
             duration -= int((recording.end_time - end_ts) * 1000)
 
-        if duration <= 0:
-            # skip if the clip has no valid duration
+        if duration < min_duration_ms:
+            # skip if the clip has no valid duration (too short to contain frames)
+            logger.debug(
+                "VOD: skipping recording %s - resulting duration %sms too short",
+                recording.path,
+                duration,
+            )
             continue
 
-        if 0 < duration < max_duration_ms:
+        if min_duration_ms <= duration < max_duration_ms:
             clip["keyFrameDurations"] = [duration]
             clips.append(clip)
             durations.append(duration)
+            logger.debug(
+                "VOD: added clip %s duration_ms=%s clipFrom=%s",
+                recording.path,
+                duration,
+                clip.get("clipFrom"),
+            )
         else:
             logger.warning(f"Recording clip is missing or empty: {recording.path}")
 
@@ -808,7 +938,7 @@ async def vod_ts(camera_name: str, start_ts: float, end_ts: float):
     return JSONResponse(
         content={
             "cache": hour_ago.timestamp() > start_ts,
-            "discontinuity": False,
+            "discontinuity": force_discontinuity,
             "consistentSequenceMediaInfo": True,
             "durations": durations,
             "segment_duration": max(durations),
@@ -851,6 +981,7 @@ async def vod_hour(
 
 @router.get(
     "/vod/event/{event_id}",
+    dependencies=[Depends(allow_any_authenticated())],
     description="Returns an HLS playlist for the specified object. Append /master.m3u8 or /index.m3u8 for HLS playback.",
 )
 async def vod_event(
@@ -891,6 +1022,19 @@ async def vod_event(
     return vod_response
 
 
+@router.get(
+    "/vod/clip/{camera_name}/start/{start_ts}/end/{end_ts}",
+    dependencies=[Depends(require_camera_access)],
+    description="Returns an HLS playlist for a timestamp range with HLS discontinuity enabled. Append /master.m3u8 or /index.m3u8 for HLS playback.",
+)
+async def vod_clip(
+    camera_name: str,
+    start_ts: float,
+    end_ts: float,
+):
+    return await vod_ts(camera_name, start_ts, end_ts, force_discontinuity=True)
+
+
 @router.get(
     "/events/{event_id}/snapshot.jpg",
     description="Returns a snapshot image for the specified object id. NOTE: The query params only take affect while the event is in-progress. Once the event has ended the snapshot configuration is used.",
@@ -967,7 +1111,10 @@ async def event_snapshot(
     )
 
 
-@router.get("/events/{event_id}/thumbnail.{extension}")
+@router.get(
+    "/events/{event_id}/thumbnail.{extension}",
+    dependencies=[Depends(require_camera_access)],
+)
 async def event_thumbnail(
     request: Request,
     event_id: str,
@@ -1165,9 +1312,12 @@ def grid_snapshot(
         )
 
 
-@router.get("/events/{event_id}/snapshot-clean.png")
+@router.get(
+    "/events/{event_id}/snapshot-clean.webp",
+    dependencies=[Depends(require_camera_access)],
+)
 def event_snapshot_clean(request: Request, event_id: str, download: bool = False):
-    png_bytes = None
+    webp_bytes = None
     try:
         event = Event.get(Event.id == event_id)
         snapshot_config = request.app.frigate_config.cameras[event.camera].snapshots
@@ -1189,7 +1339,7 @@ def event_snapshot_clean(request: Request, event_id: str, download: bool = False
                     if event_id in camera_state.tracked_objects:
                         tracked_obj = camera_state.tracked_objects.get(event_id)
                         if tracked_obj is not None:
-                            png_bytes = tracked_obj.get_clean_png()
+                            webp_bytes = tracked_obj.get_clean_webp()
                             break
             except Exception:
                 return JSONResponse(
@@ -1205,12 +1355,56 @@ def event_snapshot_clean(request: Request, event_id: str, download: bool = False
         return JSONResponse(
             content={"success": False, "message": "Event not found"}, status_code=404
         )
-    if png_bytes is None:
+    if webp_bytes is None:
         try:
-            clean_snapshot_path = os.path.join(
+            # webp
+            clean_snapshot_path_webp = os.path.join(
+                CLIPS_DIR, f"{event.camera}-{event.id}-clean.webp"
+            )
+            # png (legacy)
+            clean_snapshot_path_png = os.path.join(
                 CLIPS_DIR, f"{event.camera}-{event.id}-clean.png"
             )
-            if not os.path.exists(clean_snapshot_path):
+
+            if os.path.exists(clean_snapshot_path_webp):
+                with open(clean_snapshot_path_webp, "rb") as image_file:
+                    webp_bytes = image_file.read()
+            elif os.path.exists(clean_snapshot_path_png):
+                # convert png to webp and save for future use
+                png_image = cv2.imread(clean_snapshot_path_png, cv2.IMREAD_UNCHANGED)
+                if png_image is None:
+                    return JSONResponse(
+                        content={
+                            "success": False,
+                            "message": "Invalid png snapshot",
+                        },
+                        status_code=400,
+                    )
+
+                ret, webp_data = cv2.imencode(
+                    ".webp", png_image, [int(cv2.IMWRITE_WEBP_QUALITY), 60]
+                )
+                if not ret:
+                    return JSONResponse(
+                        content={
+                            "success": False,
+                            "message": "Unable to convert png to webp",
+                        },
+                        status_code=400,
+                    )
+
+                webp_bytes = webp_data.tobytes()
+
+                # save the converted webp for future requests
+                try:
+                    with open(clean_snapshot_path_webp, "wb") as f:
+                        f.write(webp_bytes)
+                except Exception as e:
+                    logger.warning(
+                        f"Failed to save converted webp for event {event.id}: {e}"
+                    )
+                    # continue since we now have the data to return
+            else:
                 return JSONResponse(
                     content={
                         "success": False,
@@ -1218,38 +1412,36 @@ def event_snapshot_clean(request: Request, event_id: str, download: bool = False
                     },
                     status_code=404,
                 )
-            with open(
-                os.path.join(CLIPS_DIR, f"{event.camera}-{event.id}-clean.png"), "rb"
-            ) as image_file:
-                png_bytes = image_file.read()
         except Exception:
-            logger.error(f"Unable to load clean png for event: {event.id}")
+            logger.error(f"Unable to load clean snapshot for event: {event.id}")
             return JSONResponse(
                 content={
                     "success": False,
-                    "message": "Unable to load clean png for event",
+                    "message": "Unable to load clean snapshot for event",
                 },
                 status_code=400,
             )
 
     headers = {
-        "Content-Type": "image/png",
+        "Content-Type": "image/webp",
         "Cache-Control": "private, max-age=31536000",
     }
 
     if download:
         headers["Content-Disposition"] = (
-            f"attachment; filename=snapshot-{event_id}-clean.png"
+            f"attachment; filename=snapshot-{event_id}-clean.webp"
         )
 
     return Response(
-        png_bytes,
-        media_type="image/png",
+        webp_bytes,
+        media_type="image/webp",
         headers=headers,
     )
 
 
-@router.get("/events/{event_id}/clip.mp4")
+@router.get(
+    "/events/{event_id}/clip.mp4", dependencies=[Depends(require_camera_access)]
+)
 async def event_clip(
     request: Request,
     event_id: str,
@@ -1277,7 +1469,9 @@ async def event_clip(
     )
 
 
-@router.get("/events/{event_id}/preview.gif")
+@router.get(
+    "/events/{event_id}/preview.gif", dependencies=[Depends(require_camera_access)]
+)
 def event_preview(request: Request, event_id: str):
     try:
         event: Event = Event.get(Event.id == event_id)
@@ -1630,7 +1824,7 @@ def preview_mp4(
     )
 
 
-@router.get("/review/{event_id}/preview")
+@router.get("/review/{event_id}/preview", dependencies=[Depends(require_camera_access)])
 def review_preview(
     request: Request,
     event_id: str,
@@ -1656,8 +1850,12 @@ def review_preview(
         return preview_mp4(request, review.camera, start_ts, end_ts)
 
 
-@router.get("/preview/{file_name}/thumbnail.jpg")
-@router.get("/preview/{file_name}/thumbnail.webp")
+@router.get(
+    "/preview/{file_name}/thumbnail.jpg", dependencies=[Depends(require_camera_access)]
+)
+@router.get(
+    "/preview/{file_name}/thumbnail.webp", dependencies=[Depends(require_camera_access)]
+)
 def preview_thumbnail(file_name: str):
     """Get a thumbnail from the cached preview frames."""
     if len(file_name) > 1000:
@@ -1737,7 +1935,7 @@ async def label_clip(request: Request, camera_name: str, label: str):
     try:
         event = event_query.get()
 
-        return await event_clip(request, event.id)
+        return await event_clip(request, event.id, 0)
     except DoesNotExist:
         return JSONResponse(
             content={"success": False, "message": "Event not found"}, status_code=404
diff --git a/frigate/api/notification.py b/frigate/api/notification.py
index 3d3a3eab0..502e76dbd 100644
--- a/frigate/api/notification.py
+++ b/frigate/api/notification.py
@@ -5,11 +5,12 @@ import os
 from typing import Any
 
 from cryptography.hazmat.primitives import serialization
-from fastapi import APIRouter, Request
+from fastapi import APIRouter, Depends, Request
 from fastapi.responses import JSONResponse
 from peewee import DoesNotExist
 from py_vapid import Vapid01, utils
 
+from frigate.api.auth import allow_any_authenticated
 from frigate.api.defs.tags import Tags
 from frigate.const import CONFIG_DIR
 from frigate.models import User
@@ -21,6 +22,7 @@ router = APIRouter(tags=[Tags.notifications])
 
 @router.get(
     "/notifications/pubkey",
+    dependencies=[Depends(allow_any_authenticated())],
     summary="Get VAPID public key",
     description="""Gets the VAPID public key for the notifications.
     Returns the public key or an error if notifications are not enabled.
@@ -47,6 +49,7 @@ def get_vapid_pub_key(request: Request):
 
 @router.post(
     "/notifications/register",
+    dependencies=[Depends(allow_any_authenticated())],
     summary="Register notifications",
     description="""Registers a notifications subscription.
     Returns a success message or an error if the subscription is not provided.
diff --git a/frigate/api/preview.py b/frigate/api/preview.py
index c69fa0d4e..a8fef2044 100644
--- a/frigate/api/preview.py
+++ b/frigate/api/preview.py
@@ -5,10 +5,14 @@ import os
 from datetime import datetime, timedelta, timezone
 
 import pytz
-from fastapi import APIRouter, Depends
+from fastapi import APIRouter, Depends, HTTPException
 from fastapi.responses import JSONResponse
 
-from frigate.api.auth import require_camera_access
+from frigate.api.auth import (
+    allow_any_authenticated,
+    get_allowed_cameras_for_filter,
+    require_camera_access,
+)
 from frigate.api.defs.response.preview_response import (
     PreviewFramesResponse,
     PreviewsResponse,
@@ -26,19 +30,32 @@ router = APIRouter(tags=[Tags.preview])
 @router.get(
     "/preview/{camera_name}/start/{start_ts}/end/{end_ts}",
     response_model=PreviewsResponse,
-    dependencies=[Depends(require_camera_access)],
+    dependencies=[Depends(allow_any_authenticated())],
     summary="Get preview clips for time range",
     description="""Gets all preview clips for a specified camera and time range.
     Returns a list of preview video clips that overlap with the requested time period,
     ordered by start time. Use camera_name='all' to get previews from all cameras.
     Returns an error if no previews are found.""",
 )
-def preview_ts(camera_name: str, start_ts: float, end_ts: float):
+def preview_ts(
+    camera_name: str,
+    start_ts: float,
+    end_ts: float,
+    allowed_cameras: list[str] = Depends(get_allowed_cameras_for_filter),
+):
     """Get all mp4 previews relevant for time period."""
     if camera_name != "all":
-        camera_clause = Previews.camera == camera_name
+        if camera_name not in allowed_cameras:
+            raise HTTPException(status_code=403, detail="Access denied for camera")
+        camera_list = [camera_name]
     else:
-        camera_clause = True
+        camera_list = allowed_cameras
+
+    if not camera_list:
+        return JSONResponse(
+            content={"success": False, "message": "No previews found."},
+            status_code=404,
+        )
 
     previews = (
         Previews.select(
@@ -53,7 +70,7 @@ def preview_ts(camera_name: str, start_ts: float, end_ts: float):
             | Previews.end_time.between(start_ts, end_ts)
             | ((start_ts > Previews.start_time) & (end_ts < Previews.end_time))
         )
-        .where(camera_clause)
+        .where(Previews.camera << camera_list)
         .order_by(Previews.start_time.asc())
         .dicts()
         .iterator()
@@ -88,14 +105,21 @@ def preview_ts(camera_name: str, start_ts: float, end_ts: float):
 @router.get(
     "/preview/{year_month}/{day}/{hour}/{camera_name}/{tz_name}",
     response_model=PreviewsResponse,
-    dependencies=[Depends(require_camera_access)],
+    dependencies=[Depends(allow_any_authenticated())],
     summary="Get preview clips for specific hour",
     description="""Gets all preview clips for a specific hour in a given timezone.
     Converts the provided date/time from the specified timezone to UTC and retrieves
     all preview clips for that hour. Use camera_name='all' to get previews from all cameras.
     The tz_name should be a timezone like 'America/New_York' (use commas instead of slashes).""",
 )
-def preview_hour(year_month: str, day: int, hour: int, camera_name: str, tz_name: str):
+def preview_hour(
+    year_month: str,
+    day: int,
+    hour: int,
+    camera_name: str,
+    tz_name: str,
+    allowed_cameras: list[str] = Depends(get_allowed_cameras_for_filter),
+):
     """Get all mp4 previews relevant for time period given the timezone"""
     parts = year_month.split("-")
     start_date = (
@@ -106,7 +130,7 @@ def preview_hour(year_month: str, day: int, hour: int, camera_name: str, tz_name
     start_ts = start_date.timestamp()
     end_ts = end_date.timestamp()
 
-    return preview_ts(camera_name, start_ts, end_ts)
+    return preview_ts(camera_name, start_ts, end_ts, allowed_cameras)
 
 
 @router.get(
diff --git a/frigate/api/review.py b/frigate/api/review.py
index bddc1c0b7..76619dcb2 100644
--- a/frigate/api/review.py
+++ b/frigate/api/review.py
@@ -14,6 +14,7 @@ from peewee import Case, DoesNotExist, IntegrityError, fn, operator
 from playhouse.shortcuts import model_to_dict
 
 from frigate.api.auth import (
+    allow_any_authenticated,
     get_allowed_cameras_for_filter,
     get_current_user,
     require_camera_access,
@@ -36,14 +37,18 @@ from frigate.config import FrigateConfig
 from frigate.embeddings import EmbeddingsContext
 from frigate.models import Recordings, ReviewSegment, UserReviewStatus
 from frigate.review.types import SeverityEnum
-from frigate.util.builtin import get_tz_modifiers
+from frigate.util.time import get_dst_transitions
 
 logger = logging.getLogger(__name__)
 
 router = APIRouter(tags=[Tags.review])
 
 
-@router.get("/review", response_model=list[ReviewSegmentResponse])
+@router.get(
+    "/review",
+    response_model=list[ReviewSegmentResponse],
+    dependencies=[Depends(allow_any_authenticated())],
+)
 async def review(
     params: ReviewQueryParams = Depends(),
     current_user: dict = Depends(get_current_user),
@@ -139,6 +144,8 @@ async def review(
             (UserReviewStatus.has_been_reviewed == False)
             | (UserReviewStatus.has_been_reviewed.is_null())
         )
+    elif reviewed == 1:
+        review_query = review_query.where(UserReviewStatus.has_been_reviewed == True)
 
     # Apply ordering and limit
     review_query = (
@@ -152,7 +159,11 @@ async def review(
     return JSONResponse(content=[r for r in review_query])
 
 
-@router.get("/review_ids", response_model=list[ReviewSegmentResponse])
+@router.get(
+    "/review_ids",
+    response_model=list[ReviewSegmentResponse],
+    dependencies=[Depends(allow_any_authenticated())],
+)
 async def review_ids(request: Request, ids: str):
     ids = ids.split(",")
 
@@ -186,7 +197,11 @@ async def review_ids(request: Request, ids: str):
         )
 
 
-@router.get("/review/summary", response_model=ReviewSummaryResponse)
+@router.get(
+    "/review/summary",
+    response_model=ReviewSummaryResponse,
+    dependencies=[Depends(allow_any_authenticated())],
+)
 async def review_summary(
     params: ReviewSummaryQueryParams = Depends(),
     current_user: dict = Depends(get_current_user),
@@ -197,7 +212,6 @@ async def review_summary(
 
     user_id = current_user["username"]
 
-    hour_modifier, minute_modifier, seconds_offset = get_tz_modifiers(params.timezone)
     day_ago = (datetime.datetime.now() - datetime.timedelta(hours=24)).timestamp()
 
     cameras = params.cameras
@@ -329,94 +343,144 @@ async def review_summary(
             )
         clauses.append(reduce(operator.or_, label_clauses))
 
-    day_in_seconds = 60 * 60 * 24
-    last_month_query = (
+    # Find the time range of available data
+    time_range_query = (
         ReviewSegment.select(
-            fn.strftime(
-                "%Y-%m-%d",
-                fn.datetime(
-                    ReviewSegment.start_time,
-                    "unixepoch",
-                    hour_modifier,
-                    minute_modifier,
-                ),
-            ).alias("day"),
-            fn.SUM(
-                Case(
-                    None,
-                    [
-                        (
-                            (ReviewSegment.severity == SeverityEnum.alert)
-                            & (UserReviewStatus.has_been_reviewed == True),
-                            1,
-                        )
-                    ],
-                    0,
-                )
-            ).alias("reviewed_alert"),
-            fn.SUM(
-                Case(
-                    None,
-                    [
-                        (
-                            (ReviewSegment.severity == SeverityEnum.detection)
-                            & (UserReviewStatus.has_been_reviewed == True),
-                            1,
-                        )
-                    ],
-                    0,
-                )
-            ).alias("reviewed_detection"),
-            fn.SUM(
-                Case(
-                    None,
-                    [
-                        (
-                            (ReviewSegment.severity == SeverityEnum.alert),
-                            1,
-                        )
-                    ],
-                    0,
-                )
-            ).alias("total_alert"),
-            fn.SUM(
-                Case(
-                    None,
-                    [
-                        (
-                            (ReviewSegment.severity == SeverityEnum.detection),
-                            1,
-                        )
-                    ],
-                    0,
-                )
-            ).alias("total_detection"),
-        )
-        .left_outer_join(
-            UserReviewStatus,
-            on=(
-                (ReviewSegment.id == UserReviewStatus.review_segment)
-                & (UserReviewStatus.user_id == user_id)
-            ),
+            fn.MIN(ReviewSegment.start_time).alias("min_time"),
+            fn.MAX(ReviewSegment.start_time).alias("max_time"),
         )
         .where(reduce(operator.and_, clauses) if clauses else True)
-        .group_by(
-            (ReviewSegment.start_time + seconds_offset).cast("int") / day_in_seconds
-        )
-        .order_by(ReviewSegment.start_time.desc())
+        .dicts()
+        .get()
     )
 
+    min_time = time_range_query.get("min_time")
+    max_time = time_range_query.get("max_time")
+
     data = {
         "last24Hours": last_24_query,
     }
 
-    for e in last_month_query.dicts().iterator():
-        data[e["day"]] = e
+    # If no data, return early
+    if min_time is None or max_time is None:
+        return JSONResponse(content=data)
+
+    # Get DST transition periods
+    dst_periods = get_dst_transitions(params.timezone, min_time, max_time)
+
+    day_in_seconds = 60 * 60 * 24
+
+    # Query each DST period separately with the correct offset
+    for period_start, period_end, period_offset in dst_periods:
+        # Calculate hour/minute modifiers for this period
+        hours_offset = int(period_offset / 60 / 60)
+        minutes_offset = int(period_offset / 60 - hours_offset * 60)
+        period_hour_modifier = f"{hours_offset} hour"
+        period_minute_modifier = f"{minutes_offset} minute"
+
+        # Build clauses including time range for this period
+        period_clauses = clauses.copy()
+        period_clauses.append(
+            (ReviewSegment.start_time >= period_start)
+            & (ReviewSegment.start_time <= period_end)
+        )
+
+        period_query = (
+            ReviewSegment.select(
+                fn.strftime(
+                    "%Y-%m-%d",
+                    fn.datetime(
+                        ReviewSegment.start_time,
+                        "unixepoch",
+                        period_hour_modifier,
+                        period_minute_modifier,
+                    ),
+                ).alias("day"),
+                fn.SUM(
+                    Case(
+                        None,
+                        [
+                            (
+                                (ReviewSegment.severity == SeverityEnum.alert)
+                                & (UserReviewStatus.has_been_reviewed == True),
+                                1,
+                            )
+                        ],
+                        0,
+                    )
+                ).alias("reviewed_alert"),
+                fn.SUM(
+                    Case(
+                        None,
+                        [
+                            (
+                                (ReviewSegment.severity == SeverityEnum.detection)
+                                & (UserReviewStatus.has_been_reviewed == True),
+                                1,
+                            )
+                        ],
+                        0,
+                    )
+                ).alias("reviewed_detection"),
+                fn.SUM(
+                    Case(
+                        None,
+                        [
+                            (
+                                (ReviewSegment.severity == SeverityEnum.alert),
+                                1,
+                            )
+                        ],
+                        0,
+                    )
+                ).alias("total_alert"),
+                fn.SUM(
+                    Case(
+                        None,
+                        [
+                            (
+                                (ReviewSegment.severity == SeverityEnum.detection),
+                                1,
+                            )
+                        ],
+                        0,
+                    )
+                ).alias("total_detection"),
+            )
+            .left_outer_join(
+                UserReviewStatus,
+                on=(
+                    (ReviewSegment.id == UserReviewStatus.review_segment)
+                    & (UserReviewStatus.user_id == user_id)
+                ),
+            )
+            .where(reduce(operator.and_, period_clauses))
+            .group_by(
+                (ReviewSegment.start_time + period_offset).cast("int") / day_in_seconds
+            )
+            .order_by(ReviewSegment.start_time.desc())
+        )
+
+        # Merge results from this period
+        for e in period_query.dicts().iterator():
+            day_key = e["day"]
+            if day_key in data:
+                # Merge counts if day already exists (edge case at DST boundary)
+                data[day_key]["reviewed_alert"] += e["reviewed_alert"] or 0
+                data[day_key]["reviewed_detection"] += e["reviewed_detection"] or 0
+                data[day_key]["total_alert"] += e["total_alert"] or 0
+                data[day_key]["total_detection"] += e["total_detection"] or 0
+            else:
+                data[day_key] = e
 
     return JSONResponse(content=data)
 
 
-@router.post("/reviews/viewed", response_model=GenericResponse)
+@router.post(
+    "/reviews/viewed",
+    response_model=GenericResponse,
+    dependencies=[Depends(allow_any_authenticated())],
+)
 async def set_multiple_reviewed(
     request: Request,
     body: ReviewModifyMultipleBody,
@@ -435,22 +499,27 @@ async def set_multiple_reviewed(
                 UserReviewStatus.user_id == user_id,
                 UserReviewStatus.review_segment == review_id,
             )
-            # If it exists and isn’t reviewed, update it
-            if not review_status.has_been_reviewed:
-                review_status.has_been_reviewed = True
+            # Update based on the reviewed parameter
+            if review_status.has_been_reviewed != body.reviewed:
+                review_status.has_been_reviewed = body.reviewed
                 review_status.save()
         except DoesNotExist:
             try:
                 UserReviewStatus.create(
                     user_id=user_id,
                     review_segment=ReviewSegment.get(id=review_id),
-                    has_been_reviewed=True,
+                    has_been_reviewed=body.reviewed,
                 )
             except (DoesNotExist, IntegrityError):
                 pass
 
     return JSONResponse(
-        content=({"success": True, "message": "Reviewed multiple items"}),
+        content=(
+            {
+                "success": True,
+                "message": f"Marked multiple items as {'reviewed' if body.reviewed else 'unreviewed'}",
+            }
+        ),
         status_code=200,
     )
 
@@ -510,7 +579,9 @@ def delete_reviews(body: ReviewModifyMultipleBody):
 
 
 @router.get(
-    "/review/activity/motion", response_model=list[ReviewActivityMotionResponse]
+    "/review/activity/motion",
+    response_model=list[ReviewActivityMotionResponse],
+    dependencies=[Depends(allow_any_authenticated())],
 )
 def motion_activity(
     params: ReviewActivityMotionQueryParams = Depends(),
@@ -594,7 +665,11 @@ def motion_activity(
     return JSONResponse(content=normalized)
 
 
-@router.get("/review/event/{event_id}", response_model=ReviewSegmentResponse)
+@router.get(
+    "/review/event/{event_id}",
+    response_model=ReviewSegmentResponse,
+    dependencies=[Depends(allow_any_authenticated())],
+)
 async def get_review_from_event(request: Request, event_id: str):
     try:
         review = ReviewSegment.get(
@@ -609,7 +684,11 @@ async def get_review_from_event(request: Request, event_id: str):
         )
 
 
-@router.get("/review/{review_id}", response_model=ReviewSegmentResponse)
+@router.get(
+    "/review/{review_id}",
+    response_model=ReviewSegmentResponse,
+    dependencies=[Depends(allow_any_authenticated())],
+)
 async def get_review(request: Request, review_id: str):
     try:
         review = ReviewSegment.get(ReviewSegment.id == review_id)
@@ -622,7 +701,11 @@ async def get_review(request: Request, review_id: str):
         )
 
 
-@router.delete("/review/{review_id}/viewed", response_model=GenericResponse)
+@router.delete(
+    "/review/{review_id}/viewed",
+    response_model=GenericResponse,
+    dependencies=[Depends(allow_any_authenticated())],
+)
 async def set_not_reviewed(
     review_id: str,
     current_user: dict = Depends(get_current_user),
@@ -660,6 +743,7 @@ async def set_not_reviewed(
 
 @router.post(
     "/review/summarize/start/{start_ts}/end/{end_ts}",
+    dependencies=[Depends(allow_any_authenticated())],
     description="Use GenAI to summarize review items over a period of time.",
 )
 def generate_review_summary(request: Request, start_ts: float, end_ts: float):
diff --git a/frigate/app.py b/frigate/app.py
index 858247866..fac7a08d9 100644
--- a/frigate/app.py
+++ b/frigate/app.py
@@ -100,6 +100,10 @@ class FrigateApp:
             )
             if (
                 config.semantic_search.enabled
+                or any(
+                    c.objects.genai.enabled or c.review.genai.enabled
+                    for c in config.cameras.values()
+                )
                 or config.lpr.enabled
                 or config.face_recognition.enabled
                 or len(config.classification.custom) > 0
@@ -488,6 +492,8 @@ class FrigateApp:
                     }
                 ).execute()
 
+                self.config.auth.admin_first_time_login = True
+
                 logger.info("********************************************************")
                 logger.info("********************************************************")
                 logger.info("***    Auth is enabled, but no users exist.          ***")
diff --git a/frigate/camera/maintainer.py b/frigate/camera/maintainer.py
index 865fe4725..815e650e9 100644
--- a/frigate/camera/maintainer.py
+++ b/frigate/camera/maintainer.py
@@ -136,6 +136,7 @@ class CameraMaintainer(threading.Thread):
             self.ptz_metrics[name],
             self.region_grids[name],
             self.stop_event,
+            self.config.logger,
         )
         self.camera_processes[config.name] = camera_process
         camera_process.start()
@@ -156,7 +157,11 @@ class CameraMaintainer(threading.Thread):
             self.frame_manager.create(f"{config.name}_frame{i}", frame_size)
 
         capture_process = CameraCapture(
-            config, count, self.camera_metrics[name], self.stop_event
+            config,
+            count,
+            self.camera_metrics[name],
+            self.stop_event,
+            self.config.logger,
         )
         capture_process.daemon = True
         self.capture_processes[name] = capture_process
diff --git a/frigate/camera/state.py b/frigate/camera/state.py
index 328c7bd23..97c715388 100644
--- a/frigate/camera/state.py
+++ b/frigate/camera/state.py
@@ -530,17 +530,19 @@ class CameraState:
 
         # write clean snapshot if enabled
         if self.camera_config.snapshots.clean_copy:
-            ret, png = cv2.imencode(".png", img_frame)
+            ret, webp = cv2.imencode(
+                ".webp", img_frame, [int(cv2.IMWRITE_WEBP_QUALITY), 80]
+            )
 
             if ret:
                 with open(
                     os.path.join(
                         CLIPS_DIR,
-                        f"{self.camera_config.name}-{event_id}-clean.png",
+                        f"{self.camera_config.name}-{event_id}-clean.webp",
                     ),
                     "wb",
                 ) as p:
-                    p.write(png.tobytes())
+                    p.write(webp.tobytes())
 
         # write jpg snapshot with optional annotations
         if draw.get("boxes") and isinstance(draw.get("boxes"), list):
diff --git a/frigate/comms/dispatcher.py b/frigate/comms/dispatcher.py
index 235693c8c..6e45ac175 100644
--- a/frigate/comms/dispatcher.py
+++ b/frigate/comms/dispatcher.py
@@ -23,6 +23,7 @@ from frigate.const import (
     NOTIFICATION_TEST,
     REQUEST_REGION_GRID,
     UPDATE_AUDIO_ACTIVITY,
+    UPDATE_AUDIO_TRANSCRIPTION_STATE,
     UPDATE_BIRDSEYE_LAYOUT,
     UPDATE_CAMERA_ACTIVITY,
     UPDATE_EMBEDDINGS_REINDEX_PROGRESS,
@@ -61,6 +62,7 @@ class Dispatcher:
         self.model_state: dict[str, ModelStatusTypesEnum] = {}
         self.embeddings_reindex: dict[str, Any] = {}
         self.birdseye_layout: dict[str, Any] = {}
+        self.audio_transcription_state: str = "idle"
         self._camera_settings_handlers: dict[str, Callable] = {
             "audio": self._on_audio_command,
             "audio_transcription": self._on_audio_transcription_command,
@@ -178,6 +180,19 @@ class Dispatcher:
         def handle_model_state() -> None:
             self.publish("model_state", json.dumps(self.model_state.copy()))
 
+        def handle_update_audio_transcription_state() -> None:
+            if payload:
+                self.audio_transcription_state = payload
+                self.publish(
+                    "audio_transcription_state",
+                    json.dumps(self.audio_transcription_state),
+                )
+
+        def handle_audio_transcription_state() -> None:
+            self.publish(
+                "audio_transcription_state", json.dumps(self.audio_transcription_state)
+            )
+
         def handle_update_embeddings_reindex_progress() -> None:
             self.embeddings_reindex = payload
             self.publish(
@@ -264,10 +279,12 @@ class Dispatcher:
             UPDATE_MODEL_STATE: handle_update_model_state,
             UPDATE_EMBEDDINGS_REINDEX_PROGRESS: handle_update_embeddings_reindex_progress,
             UPDATE_BIRDSEYE_LAYOUT: handle_update_birdseye_layout,
+            UPDATE_AUDIO_TRANSCRIPTION_STATE: handle_update_audio_transcription_state,
             NOTIFICATION_TEST: handle_notification_test,
             "restart": handle_restart,
             "embeddingsReindexProgress": handle_embeddings_reindex_progress,
             "modelState": handle_model_state,
+            "audioTranscriptionState": handle_audio_transcription_state,
             "birdseyeLayout": handle_birdseye_layout,
             "onConnect": handle_on_connect,
         }
@@ -590,23 +607,27 @@ class Dispatcher:
         )
         self.publish(f"{camera_name}/snapshots/state", payload, retain=True)
 
-    def _on_ptz_command(self, camera_name: str, payload: str) -> None:
+    def _on_ptz_command(self, camera_name: str, payload: str | bytes) -> None:
         """Callback for ptz topic."""
         try:
-            if "preset" in payload.lower():
+            preset: str = (
+                payload.decode("utf-8") if isinstance(payload, bytes) else payload
+            ).lower()
+
+            if "preset" in preset:
                 command = OnvifCommandEnum.preset
-                param = payload.lower()[payload.index("_") + 1 :]
-            elif "move_relative" in payload.lower():
+                param = preset[preset.index("_") + 1 :]
+            elif "move_relative" in preset:
                 command = OnvifCommandEnum.move_relative
-                param = payload.lower()[payload.index("_") + 1 :]
+                param = preset[preset.index("_") + 1 :]
             else:
-                command = OnvifCommandEnum[payload.lower()]
+                command = OnvifCommandEnum[preset]
                 param = ""
 
             self.onvif.handle_command(camera_name, command, param)
             logger.info(f"Setting ptz command to {command} for {camera_name}")
         except KeyError as k:
-            logger.error(f"Invalid PTZ command {payload}: {k}")
+            logger.error(f"Invalid PTZ command {preset}: {k}")
 
     def _on_birdseye_command(self, camera_name: str, payload: str) -> None:
         """Callback for birdseye topic."""
diff --git a/frigate/comms/mqtt.py b/frigate/comms/mqtt.py
index 0af56e259..68ae698d9 100644
--- a/frigate/comms/mqtt.py
+++ b/frigate/comms/mqtt.py
@@ -225,7 +225,8 @@ class MqttClient(Communicator):
             "birdseye_mode",
             "review_alerts",
             "review_detections",
-            "genai",
+            "object_descriptions",
+            "review_descriptions",
         ]
 
         for name in self.config.cameras.keys():
diff --git a/frigate/comms/webpush.py b/frigate/comms/webpush.py
index a858f9eac..62cc12c9a 100644
--- a/frigate/comms/webpush.py
+++ b/frigate/comms/webpush.py
@@ -21,7 +21,7 @@ from frigate.config.camera.updater import (
     CameraConfigUpdateEnum,
     CameraConfigUpdateSubscriber,
 )
-from frigate.const import CONFIG_DIR
+from frigate.const import BASE_DIR, CONFIG_DIR
 from frigate.models import User
 
 logger = logging.getLogger(__name__)
@@ -371,14 +371,39 @@ class WebPushClient(Communicator):
 
         sorted_objects.update(payload["after"]["data"]["sub_labels"])
 
-        image = f"{payload['after']['thumb_path'].replace('/media/frigate', '')}"
+        image = f"{payload['after']['thumb_path'].replace(BASE_DIR, '')}"
         ended = state == "end" or state == "genai"
 
         if state == "genai" and payload["after"]["data"]["metadata"]:
-            title = payload["after"]["data"]["metadata"]["title"]
-            message = payload["after"]["data"]["metadata"]["scene"]
+            base_title = payload["after"]["data"]["metadata"]["title"]
+            threat_level = payload["after"]["data"]["metadata"].get(
+                "potential_threat_level", 0
+            )
+
+            # Add prefix for threat levels 1 and 2
+            if threat_level == 1:
+                title = f"Needs Review: {base_title}"
+            elif threat_level == 2:
+                title = f"Security Concern: {base_title}"
+            else:
+                title = base_title
+
+            message = payload["after"]["data"]["metadata"]["shortSummary"]
         else:
-            title = f"{titlecase(', '.join(sorted_objects).replace('_', ' '))}{' was' if state == 'end' else ''} detected in {titlecase(', '.join(payload['after']['data']['zones']).replace('_', ' '))}"
+            zone_names = payload["after"]["data"]["zones"]
+            formatted_zone_names = []
+
+            for zone_name in zone_names:
+                if zone_name in self.config.cameras[camera].zones:
+                    formatted_zone_names.append(
+                        self.config.cameras[camera]
+                        .zones[zone_name]
+                        .get_formatted_name(zone_name)
+                    )
+                else:
+                    formatted_zone_names.append(titlecase(zone_name.replace("_", " ")))
+
+            title = f"{titlecase(', '.join(sorted_objects).replace('_', ' '))}{' was' if state == 'end' else ''} detected in {', '.join(formatted_zone_names)}"
             message = f"Detected on {camera_name}"
 
         if ended:
diff --git a/frigate/config/auth.py b/frigate/config/auth.py
index fd5d0e394..6935350a0 100644
--- a/frigate/config/auth.py
+++ b/frigate/config/auth.py
@@ -20,7 +20,7 @@ class AuthConfig(FrigateBaseModel):
         default=86400, title="Session length for jwt session tokens", ge=60
     )
     refresh_time: int = Field(
-        default=43200,
+        default=1800,
         title="Refresh the session if it is going to expire in this many seconds",
         ge=30,
     )
@@ -38,6 +38,13 @@ class AuthConfig(FrigateBaseModel):
         default_factory=dict,
         title="Role to camera mappings. Empty list grants access to all cameras.",
     )
+    admin_first_time_login: Optional[bool] = Field(
+        default=False,
+        title="Internal field to expose first-time admin login flag to the UI",
+        description=(
+            "When true the UI may show a help link on the login page informing users how to sign in after an admin password reset. "
+        ),
+    )
 
     @field_validator("roles")
     @classmethod
diff --git a/frigate/config/camera/birdseye.py b/frigate/config/camera/birdseye.py
index b7e8a7117..1e6f0f335 100644
--- a/frigate/config/camera/birdseye.py
+++ b/frigate/config/camera/birdseye.py
@@ -55,6 +55,12 @@ class BirdseyeConfig(FrigateBaseModel):
     layout: BirdseyeLayoutConfig = Field(
         default_factory=BirdseyeLayoutConfig, title="Birdseye Layout Config"
     )
+    idle_heartbeat_fps: float = Field(
+        default=0.0,
+        ge=0.0,
+        le=10.0,
+        title="Idle heartbeat FPS (0 disables, max 10)",
+    )
 
 
 # uses BaseModel because some global attributes are not available at the camera level
diff --git a/frigate/config/camera/camera.py b/frigate/config/camera/camera.py
index 821b2a16d..0f2b1c8be 100644
--- a/frigate/config/camera/camera.py
+++ b/frigate/config/camera/camera.py
@@ -177,6 +177,12 @@ class CameraConfig(FrigateBaseModel):
     def ffmpeg_cmds(self) -> list[dict[str, list[str]]]:
         return self._ffmpeg_cmds
 
+    def get_formatted_name(self) -> str:
+        """Return the friendly name if set, otherwise return a formatted version of the camera name."""
+        if self.friendly_name:
+            return self.friendly_name
+        return self.name.replace("_", " ").title() if self.name else ""
+
     def create_ffmpeg_cmds(self):
         if "_ffmpeg_cmds" in self:
             return
@@ -235,6 +241,7 @@ class CameraConfig(FrigateBaseModel):
                 self.detect.fps,
                 self.detect.width,
                 self.detect.height,
+                self.ffmpeg.gpu,
             )
             or ffmpeg_input.hwaccel_args
             or parse_preset_hardware_acceleration_decode(
@@ -242,6 +249,7 @@ class CameraConfig(FrigateBaseModel):
                 self.detect.fps,
                 self.detect.width,
                 self.detect.height,
+                self.ffmpeg.gpu,
             )
             or camera_arg
             or []
diff --git a/frigate/config/camera/ffmpeg.py b/frigate/config/camera/ffmpeg.py
index dd65fdcd4..2c1e4cdca 100644
--- a/frigate/config/camera/ffmpeg.py
+++ b/frigate/config/camera/ffmpeg.py
@@ -67,6 +67,7 @@ class FfmpegConfig(FrigateBaseModel):
         default=False,
         title="Set tag on HEVC (H.265) recording stream to improve compatibility with Apple players.",
     )
+    gpu: int = Field(default=0, title="GPU index to use for hardware acceleration.")
 
     @property
     def ffmpeg_path(self) -> str:
diff --git a/frigate/config/camera/genai.py b/frigate/config/camera/genai.py
index 3c6baeb15..a4d9199af 100644
--- a/frigate/config/camera/genai.py
+++ b/frigate/config/camera/genai.py
@@ -26,3 +26,6 @@ class GenAIConfig(FrigateBaseModel):
     provider_options: dict[str, Any] = Field(
         default={}, title="GenAI Provider extra options."
     )
+    runtime_options: dict[str, Any] = Field(
+        default={}, title="Options to pass during inference calls."
+    )
diff --git a/frigate/config/camera/review.py b/frigate/config/camera/review.py
index 925a91de2..67ba3b60c 100644
--- a/frigate/config/camera/review.py
+++ b/frigate/config/camera/review.py
@@ -1,10 +1,18 @@
+from enum import Enum
 from typing import Optional, Union
 
 from pydantic import Field, field_validator
 
 from ..base import FrigateBaseModel
 
-__all__ = ["ReviewConfig", "DetectionsConfig", "AlertsConfig"]
+__all__ = ["ReviewConfig", "DetectionsConfig", "AlertsConfig", "ImageSourceEnum"]
+
+
+class ImageSourceEnum(str, Enum):
+    """Image source options for GenAI Review."""
+
+    preview = "preview"
+    recordings = "recordings"
 
 
 DEFAULT_ALERT_OBJECTS = ["person", "car"]
@@ -77,6 +85,10 @@ class GenAIReviewConfig(FrigateBaseModel):
     )
     alerts: bool = Field(default=True, title="Enable GenAI for alerts.")
     detections: bool = Field(default=False, title="Enable GenAI for detections.")
+    image_source: ImageSourceEnum = Field(
+        default=ImageSourceEnum.preview,
+        title="Image source for review descriptions.",
+    )
     additional_concerns: list[str] = Field(
         default=[],
         title="Additional concerns that GenAI should make note of on this camera.",
@@ -93,13 +105,40 @@ class GenAIReviewConfig(FrigateBaseModel):
         default=None,
     )
     activity_context_prompt: str = Field(
-        default="""- **Zone context is critical**: Private enclosed spaces (back yards, back decks, fenced areas, inside garages) are resident territory where brief transient activity, routine tasks, and pet care are expected and normal. Front yards, driveways, and porches are semi-public but still resident spaces where deliveries, parking, and coming/going are routine. Consider whether the zone and activity align with normal residential use.
-- **Person + Pet = Normal Activity**: When both "Person" and "Dog" (or "Cat") are detected together in residential zones, this is routine pet care activity (walking, letting out, playing, supervising). Assign Level 0 unless there are OTHER strong suspicious behaviors present (like testing doors, taking items, etc.). A person with their pet in a residential zone is baseline normal activity.
-- Brief appearances in private zones (back yards, garages) are normal residential patterns.
-- Normal residential activity includes: residents, family members, guests, deliveries, services, maintenance workers, routine property use (parking, unloading, mail pickup, trash removal).
-- Brief movement with legitimate items (bags, packages, tools, equipment) in appropriate zones is routine.
-""",
-        title="Custom activity context prompt defining normal activity patterns for this property.",
+        default="""### Normal Activity Indicators (Level 0)
+- Known/verified people in any zone at any time
+- People with pets in residential areas
+- Deliveries or services during daytime/evening (6 AM - 10 PM): carrying packages to doors/porches, placing items, leaving
+- Services/maintenance workers with visible tools, uniforms, or service vehicles during daytime
+- Activity confined to public areas only (sidewalks, streets) without entering property at any time
+
+### Suspicious Activity Indicators (Level 1)
+- **Testing or attempting to open doors/windows/handles on vehicles or buildings** — ALWAYS Level 1 regardless of time or duration
+- **Unidentified person in private areas (driveways, near vehicles/buildings) during late night/early morning (11 PM - 5 AM)** — ALWAYS Level 1 regardless of activity or duration
+- Taking items that don't belong to them (packages, objects from porches/driveways)
+- Climbing or jumping fences/barriers to access property
+- Attempting to conceal actions or items from view
+- Prolonged loitering: remaining in same area without visible purpose throughout most of the sequence
+
+### Critical Threat Indicators (Level 2)
+- Holding break-in tools (crowbars, pry bars, bolt cutters)
+- Weapons visible (guns, knives, bats used aggressively)
+- Forced entry in progress
+- Physical aggression or violence
+- Active property damage or theft in progress
+
+### Assessment Guidance
+Evaluate in this order:
+
+1. **If person is verified/known** → Level 0 regardless of time or activity
+2. **If person is unidentified:**
+   - Check time: If late night/early morning (11 PM - 5 AM) AND in private areas (driveways, near vehicles/buildings) → Level 1
+   - Check actions: If testing doors/handles, taking items, climbing → Level 1
+   - Otherwise, if daytime/evening (6 AM - 10 PM) with clear legitimate purpose (delivery, service worker) → Level 0
+3. **Escalate to Level 2 if:** Weapons, break-in tools, forced entry in progress, violence, or active property damage visible (escalates from Level 0 or 1)
+
+The mere presence of an unidentified person in private areas during late night hours is inherently suspicious and warrants human review, regardless of what activity they appear to be doing or how brief the sequence is.""",
+        title="Custom activity context prompt defining normal and suspicious activity patterns for this property.",
     )
 
 
diff --git a/frigate/config/camera/zone.py b/frigate/config/camera/zone.py
index 3e69240d5..7df1a1f25 100644
--- a/frigate/config/camera/zone.py
+++ b/frigate/config/camera/zone.py
@@ -13,6 +13,9 @@ logger = logging.getLogger(__name__)
 
 
 class ZoneConfig(BaseModel):
+    friendly_name: Optional[str] = Field(
+        None, title="Zone friendly name used in the Frigate UI."
+    )
     filters: dict[str, FilterConfig] = Field(
         default_factory=dict, title="Zone filters."
     )
@@ -53,6 +56,12 @@ class ZoneConfig(BaseModel):
     def contour(self) -> np.ndarray:
         return self._contour
 
+    def get_formatted_name(self, zone_name: str) -> str:
+        """Return the friendly name if set, otherwise return a formatted version of the zone name."""
+        if self.friendly_name:
+            return self.friendly_name
+        return zone_name.replace("_", " ").title()
+
     @field_validator("objects", mode="before")
     @classmethod
     def validate_objects(cls, v):
diff --git a/frigate/config/classification.py b/frigate/config/classification.py
index 56126e4d4..fb8e3de29 100644
--- a/frigate/config/classification.py
+++ b/frigate/config/classification.py
@@ -33,6 +33,8 @@ class TriggerType(str, Enum):
 
 class TriggerAction(str, Enum):
     NOTIFICATION = "notification"
+    SUB_LABEL = "sub_label"
+    ATTRIBUTE = "attribute"
 
 
 class ObjectClassificationType(str, Enum):
@@ -69,7 +71,7 @@ class BirdClassificationConfig(FrigateBaseModel):
 
 
 class CustomClassificationStateCameraConfig(FrigateBaseModel):
-    crop: list[int, int, int, int] = Field(
+    crop: list[float, float, float, float] = Field(
         title="Crop of image frame on this camera to run classification on."
     )
 
@@ -103,6 +105,11 @@ class CustomClassificationConfig(FrigateBaseModel):
     threshold: float = Field(
         default=0.8, title="Classification score threshold to change the state."
     )
+    save_attempts: int | None = Field(
+        default=None,
+        title="Number of classification attempts to save in the recent classifications tab. If not specified, defaults to 200 for object classification and 100 for state classification.",
+        ge=0,
+    )
     object_config: CustomClassificationObjectConfig | None = Field(default=None)
     state_config: CustomClassificationStateConfig | None = Field(default=None)
 
@@ -197,7 +204,9 @@ class FaceRecognitionConfig(FrigateBaseModel):
         title="Min face recognitions for the sub label to be applied to the person object.",
     )
     save_attempts: int = Field(
-        default=100, ge=0, title="Number of face attempts to save in the train tab."
+        default=200,
+        ge=0,
+        title="Number of face attempts to save in the recent recognitions tab.",
     )
     blur_confidence_filter: bool = Field(
         default=True, title="Apply blur quality filter to face confidence."
diff --git a/frigate/config/config.py b/frigate/config/config.py
index 7ce9c73b4..a26d4c50e 100644
--- a/frigate/config/config.py
+++ b/frigate/config/config.py
@@ -28,6 +28,7 @@ from frigate.util.builtin import (
     get_ffmpeg_arg_list,
 )
 from frigate.util.config import (
+    CURRENT_CONFIG_VERSION,
     StreamInfoRetriever,
     convert_area_to_pixels,
     find_config_file,
@@ -76,11 +77,12 @@ logger = logging.getLogger(__name__)
 
 yaml = YAML()
 
-DEFAULT_CONFIG = """
+DEFAULT_CONFIG = f"""
 mqtt:
   enabled: False
 
-cameras: {}  # No cameras defined, UI wizard should be used
+cameras: {{}}  # No cameras defined, UI wizard should be used
+version: {CURRENT_CONFIG_VERSION}
 """
 
 DEFAULT_DETECTORS = {"cpu": {"type": "cpu"}}
@@ -660,6 +662,13 @@ class FrigateConfig(FrigateBaseModel):
             # generate zone contours
             if len(camera_config.zones) > 0:
                 for zone in camera_config.zones.values():
+                    if zone.filters:
+                        for object_name, filter_config in zone.filters.items():
+                            zone.filters[object_name] = RuntimeFilterConfig(
+                                frame_shape=camera_config.frame_shape,
+                                **filter_config.model_dump(exclude_unset=True),
+                            )
+
                     zone.generate_contour(camera_config.frame_shape)
 
             # Set live view stream if none is set
@@ -753,8 +762,7 @@ class FrigateConfig(FrigateBaseModel):
             if new_config and f.tell() == 0:
                 f.write(DEFAULT_CONFIG)
                 logger.info(
-                    "Created default config file, see the getting started docs \
-                    for configuration https://docs.frigate.video/guides/getting_started"
+                    "Created default config file, see the getting started docs for configuration: https://docs.frigate.video/guides/getting_started"
                 )
 
             f.seek(0)
@@ -792,6 +800,10 @@ class FrigateConfig(FrigateBaseModel):
             # copy over auth and proxy config in case auth needs to be enforced
             safe_config["auth"] = config.get("auth", {})
             safe_config["proxy"] = config.get("proxy", {})
+
+            # copy over database config for auth and so a new db is not created
+            safe_config["database"] = config.get("database", {})
+
             return cls.parse_object(safe_config, **context)
 
         # Validate and return the config dict.
diff --git a/frigate/config/ui.py b/frigate/config/ui.py
index 2f66aeed3..8e0d4d77d 100644
--- a/frigate/config/ui.py
+++ b/frigate/config/ui.py
@@ -37,9 +37,6 @@ class UIConfig(FrigateBaseModel):
     time_style: DateTimeStyleEnum = Field(
         default=DateTimeStyleEnum.medium, title="Override UI timeStyle."
     )
-    strftime_fmt: Optional[str] = Field(
-        default=None, title="Override date and time format using strftime syntax."
-    )
     unit_system: UnitSystemEnum = Field(
         default=UnitSystemEnum.metric, title="The unit system to use for measurements."
     )
diff --git a/frigate/const.py b/frigate/const.py
index 5710966bf..41c24f087 100644
--- a/frigate/const.py
+++ b/frigate/const.py
@@ -77,6 +77,9 @@ FFMPEG_HWACCEL_RKMPP = "preset-rkmpp"
 FFMPEG_HWACCEL_AMF = "preset-amd-amf"
 FFMPEG_HVC1_ARGS = ["-tag:v", "hvc1"]
 
+# RKNN constants
+SUPPORTED_RK_SOCS = ["rk3562", "rk3566", "rk3568", "rk3576", "rk3588"]
+
 # Regex constants
 
 REGEX_CAMERA_NAME = r"^[a-zA-Z0-9_-]+$"
@@ -113,6 +116,7 @@ CLEAR_ONGOING_REVIEW_SEGMENTS = "clear_ongoing_review_segments"
 UPDATE_CAMERA_ACTIVITY = "update_camera_activity"
 UPDATE_AUDIO_ACTIVITY = "update_audio_activity"
 EXPIRE_AUDIO_ACTIVITY = "expire_audio_activity"
+UPDATE_AUDIO_TRANSCRIPTION_STATE = "update_audio_transcription_state"
 UPDATE_EVENT_DESCRIPTION = "update_event_description"
 UPDATE_REVIEW_DESCRIPTION = "update_review_description"
 UPDATE_MODEL_STATE = "update_model_state"
diff --git a/frigate/data_processing/common/audio_transcription/model.py b/frigate/data_processing/common/audio_transcription/model.py
index 0fe5ddb5c..82472ad62 100644
--- a/frigate/data_processing/common/audio_transcription/model.py
+++ b/frigate/data_processing/common/audio_transcription/model.py
@@ -4,7 +4,6 @@ import logging
 import os
 
 import sherpa_onnx
-from faster_whisper.utils import download_model
 
 from frigate.comms.inter_process import InterProcessRequestor
 from frigate.const import MODEL_CACHE_DIR
@@ -25,6 +24,9 @@ class AudioTranscriptionModelRunner:
 
         if model_size == "large":
             # use the Whisper download function instead of our own
+            # Import dynamically to avoid crashes on systems without AVX support
+            from faster_whisper.utils import download_model
+
             logger.debug("Downloading Whisper audio transcription model")
             download_model(
                 size_or_id="small" if device == "cuda" else "tiny",
diff --git a/frigate/data_processing/common/face/model.py b/frigate/data_processing/common/face/model.py
index 68a5681c3..51ee64938 100644
--- a/frigate/data_processing/common/face/model.py
+++ b/frigate/data_processing/common/face/model.py
@@ -262,7 +262,7 @@ class FaceNetRecognizer(FaceRecognizer):
                 score = confidence
                 label = name
 
-        return label, round(score - blur_reduction, 2)
+        return label, max(0, round(score - blur_reduction, 2))
 
 
 class ArcFaceRecognizer(FaceRecognizer):
@@ -370,4 +370,4 @@ class ArcFaceRecognizer(FaceRecognizer):
                 score = confidence
                 label = name
 
-        return label, round(score - blur_reduction, 2)
+        return label, max(0, round(score - blur_reduction, 2))
diff --git a/frigate/data_processing/common/license_plate/mixin.py b/frigate/data_processing/common/license_plate/mixin.py
index d2083afec..b56c66a19 100644
--- a/frigate/data_processing/common/license_plate/mixin.py
+++ b/frigate/data_processing/common/license_plate/mixin.py
@@ -14,8 +14,8 @@ from typing import Any, List, Optional, Tuple
 
 import cv2
 import numpy as np
-from Levenshtein import distance, jaro_winkler
 from pyclipper import ET_CLOSEDPOLYGON, JT_ROUND, PyclipperOffset
+from rapidfuzz.distance import JaroWinkler, Levenshtein
 from shapely.geometry import Polygon
 
 from frigate.comms.event_metadata_updater import (
@@ -48,6 +48,9 @@ class LicensePlateProcessingMixin:
                 MODEL_CACHE_DIR, "paddleocr-onnx", "ppocr_keys_v1.txt"
             )
         )
+        # process plates that are stationary and have no position changes for 5 seconds
+        self.stationary_scan_duration = 5
+
         self.batch_size = 6
 
         # Object config
@@ -371,6 +374,9 @@ class LicensePlateProcessingMixin:
                             combined_plate = re.sub(
                                 pattern, replacement, combined_plate
                             )
+                            logger.debug(
+                                f"{camera}: Processing replace rule: '{pattern}' -> '{replacement}', result: '{combined_plate}'"
+                            )
                     except re.error as e:
                         logger.warning(
                             f"{camera}: Invalid regex in replace_rules '{pattern}': {e}"
@@ -378,7 +384,7 @@ class LicensePlateProcessingMixin:
 
             if combined_plate != original_combined:
                 logger.debug(
-                    f"{camera}: Rules applied: '{original_combined}' -> '{combined_plate}'"
+                    f"{camera}: All rules applied: '{original_combined}' -> '{combined_plate}'"
                 )
 
             # Compute the combined area for qualifying boxes
@@ -1120,7 +1126,9 @@ class LicensePlateProcessingMixin:
         for i, plate in enumerate(plates):
             merged = False
             for j, cluster in enumerate(clusters):
-                sims = [jaro_winkler(plate["plate"], v["plate"]) for v in cluster]
+                sims = [
+                    JaroWinkler.similarity(plate["plate"], v["plate"]) for v in cluster
+                ]
                 if len(sims) > 0:
                     avg_sim = sum(sims) / len(sims)
                     if avg_sim >= self.cluster_threshold:
@@ -1269,21 +1277,39 @@ class LicensePlateProcessingMixin:
                 )
                 return
 
-            # don't run for stationary car objects
-            if obj_data.get("stationary") == True:
+            # don't run for non-stationary objects with no position changes to avoid processing uncertain moving objects
+            # zero position_changes is the initial state after registering a new tracked object
+            # LPR will run 2 frames after detect.min_initialized is reached
+            if obj_data.get("position_changes", 0) == 0 and not obj_data.get(
+                "stationary", False
+            ):
                 logger.debug(
-                    f"{camera}: Not a processing license plate for a stationary car/motorcycle object."
+                    f"{camera}: Skipping LPR for non-stationary {obj_data['label']} object {id} with no position changes.  (Detected in {self.config.cameras[camera].detect.min_initialized + 1} concurrent frames, threshold to run is {self.config.cameras[camera].detect.min_initialized + 2} frames)"
                 )
                 return
 
-            # don't run for objects with no position changes
-            # this is the initial state after registering a new tracked object
-            # LPR will run 2 frames after detect.min_initialized is reached
-            if obj_data.get("position_changes", 0) == 0:
-                logger.debug(
-                    f"{camera}: Plate detected in {self.config.cameras[camera].detect.min_initialized + 1} concurrent frames, LPR frame threshold ({self.config.cameras[camera].detect.min_initialized + 2})"
-                )
-                return
+            # run for stationary objects for a limited time after they become stationary
+            if obj_data.get("stationary") == True:
+                threshold = self.config.cameras[camera].detect.stationary.threshold
+                if obj_data.get("motionless_count", 0) >= threshold:
+                    frames_since_stationary = (
+                        obj_data.get("motionless_count", 0) - threshold
+                    )
+                    fps = self.config.cameras[camera].detect.fps
+                    time_since_stationary = frames_since_stationary / fps
+
+                    # only print this log for a short time to avoid log spam
+                    if (
+                        self.stationary_scan_duration
+                        < time_since_stationary
+                        <= self.stationary_scan_duration + 1
+                    ):
+                        logger.debug(
+                            f"{camera}: {obj_data.get('label', 'An')} object {id} has been stationary for > {self.stationary_scan_duration} seconds, skipping LPR."
+                        )
+
+                    if time_since_stationary > self.stationary_scan_duration:
+                        return
 
             license_plate: Optional[dict[str, Any]] = None
 
@@ -1424,7 +1450,7 @@ class LicensePlateProcessingMixin:
                     license_plate_frame,
                 )
 
-        logger.debug(f"{camera}: Running plate recognition.")
+        logger.debug(f"{camera}: Running plate recognition for id: {id}.")
 
         # run detection, returns results sorted by confidence, best first
         start = datetime.datetime.now().timestamp()
@@ -1479,7 +1505,7 @@ class LicensePlateProcessingMixin:
                     and current_time - data["last_seen"]
                     <= self.config.cameras[camera].lpr.expire_time
                 ):
-                    similarity = jaro_winkler(data["plate"], top_plate)
+                    similarity = JaroWinkler.similarity(data["plate"], top_plate)
                     if similarity >= self.similarity_threshold:
                         plate_id = existing_id
                         logger.debug(
@@ -1559,7 +1585,8 @@ class LicensePlateProcessingMixin:
                     for label, plates_list in self.lpr_config.known_plates.items()
                     if any(
                         re.match(f"^{plate}$", rep_plate)
-                        or distance(plate, rep_plate) <= self.lpr_config.match_distance
+                        or Levenshtein.distance(plate, rep_plate)
+                        <= self.lpr_config.match_distance
                         for plate in plates_list
                     )
                 ),
diff --git a/frigate/data_processing/post/audio_transcription.py b/frigate/data_processing/post/audio_transcription.py
index 146b4e0f1..558ab433e 100644
--- a/frigate/data_processing/post/audio_transcription.py
+++ b/frigate/data_processing/post/audio_transcription.py
@@ -6,15 +6,14 @@ import threading
 import time
 from typing import Optional
 
-from faster_whisper import WhisperModel
 from peewee import DoesNotExist
 
-from frigate.comms.embeddings_updater import EmbeddingsRequestEnum
 from frigate.comms.inter_process import InterProcessRequestor
 from frigate.config import FrigateConfig
 from frigate.const import (
     CACHE_DIR,
     MODEL_CACHE_DIR,
+    UPDATE_AUDIO_TRANSCRIPTION_STATE,
     UPDATE_EVENT_DESCRIPTION,
 )
 from frigate.data_processing.types import PostProcessDataEnum
@@ -32,11 +31,13 @@ class AudioTranscriptionPostProcessor(PostProcessorApi):
         self,
         config: FrigateConfig,
         requestor: InterProcessRequestor,
+        embeddings,
         metrics: DataProcessorMetrics,
     ):
         super().__init__(config, metrics, None)
         self.config = config
         self.requestor = requestor
+        self.embeddings = embeddings
         self.recognizer = None
         self.transcription_lock = threading.Lock()
         self.transcription_thread = None
@@ -50,6 +51,9 @@ class AudioTranscriptionPostProcessor(PostProcessorApi):
 
     def __build_recognizer(self) -> None:
         try:
+            # Import dynamically to avoid crashes on systems without AVX support
+            from faster_whisper import WhisperModel
+
             self.recognizer = WhisperModel(
                 model_size_or_path="small",
                 device="cuda"
@@ -127,11 +131,9 @@ class AudioTranscriptionPostProcessor(PostProcessorApi):
                 },
             )
 
-            # Embed the description
-            self.requestor.send_data(
-                EmbeddingsRequestEnum.embed_description.value,
-                {"id": event_id, "description": transcription},
-            )
+            # Embed the description if semantic search is enabled
+            if self.config.semantic_search.enabled:
+                self.embeddings.embed_description(event_id, transcription)
 
         except DoesNotExist:
             logger.debug("No recording found for audio transcription post-processing")
@@ -190,6 +192,8 @@ class AudioTranscriptionPostProcessor(PostProcessorApi):
                 self.transcription_running = False
                 self.transcription_thread = None
 
+            self.requestor.send_data(UPDATE_AUDIO_TRANSCRIPTION_STATE, "idle")
+
     def handle_request(self, topic: str, request_data: dict[str, any]) -> str | None:
         if topic == "transcribe_audio":
             event = request_data["event"]
@@ -203,6 +207,8 @@ class AudioTranscriptionPostProcessor(PostProcessorApi):
 
                 # Mark as running and start the thread
                 self.transcription_running = True
+                self.requestor.send_data(UPDATE_AUDIO_TRANSCRIPTION_STATE, "processing")
+
                 self.transcription_thread = threading.Thread(
                     target=self._transcription_wrapper, args=(event,), daemon=True
                 )
diff --git a/frigate/data_processing/post/object_descriptions.py b/frigate/data_processing/post/object_descriptions.py
index 23af43548..cdb5f4fc3 100644
--- a/frigate/data_processing/post/object_descriptions.py
+++ b/frigate/data_processing/post/object_descriptions.py
@@ -20,8 +20,8 @@ from frigate.genai import GenAIClient
 from frigate.models import Event
 from frigate.types import TrackedObjectUpdateTypesEnum
 from frigate.util.builtin import EventsPerSecond, InferenceSpeed
+from frigate.util.file import get_event_thumbnail_bytes
 from frigate.util.image import create_thumbnail, ensure_jpeg_bytes
-from frigate.util.path import get_event_thumbnail_bytes
 
 if TYPE_CHECKING:
     from frigate.embeddings import Embeddings
@@ -86,7 +86,11 @@ class ObjectDescriptionProcessor(PostProcessorApi):
                 and data["id"] not in self.early_request_sent
             ):
                 if data["has_clip"] and data["has_snapshot"]:
-                    event: Event = Event.get(Event.id == data["id"])
+                    try:
+                        event: Event = Event.get(Event.id == data["id"])
+                    except DoesNotExist:
+                        logger.error(f"Event {data['id']} not found")
+                        return
 
                     if (
                         not camera_config.objects.genai.objects
@@ -131,6 +135,8 @@ class ObjectDescriptionProcessor(PostProcessorApi):
             )
         ):
             self._process_genai_description(event, camera_config, thumbnail)
+        else:
+            self.cleanup_event(event.id)
 
     def __regenerate_description(self, event_id: str, source: str, force: bool) -> None:
         """Regenerate the description for an event."""
@@ -204,6 +210,17 @@ class ObjectDescriptionProcessor(PostProcessorApi):
             )
         return None
 
+    def cleanup_event(self, event_id: str) -> None:
+        """Clean up tracked event data to prevent memory leaks.
+
+        This should be called when an event ends, regardless of whether
+        genai processing is triggered.
+        """
+        if event_id in self.tracked_events:
+            del self.tracked_events[event_id]
+        if event_id in self.early_request_sent:
+            del self.early_request_sent[event_id]
+
     def _read_and_crop_snapshot(self, event: Event) -> bytes | None:
         """Read, decode, and crop the snapshot image."""
 
@@ -299,9 +316,8 @@ class ObjectDescriptionProcessor(PostProcessorApi):
             ),
         ).start()
 
-        # Delete tracked events based on the event_id
-        if event.id in self.tracked_events:
-            del self.tracked_events[event.id]
+        # Clean up tracked events and early request state
+        self.cleanup_event(event.id)
 
     def _genai_embed_description(self, event: Event, thumbnails: list[bytes]) -> None:
         """Embed the description for an event."""
diff --git a/frigate/data_processing/post/review_descriptions.py b/frigate/data_processing/post/review_descriptions.py
index 69110564c..0a2754468 100644
--- a/frigate/data_processing/post/review_descriptions.py
+++ b/frigate/data_processing/post/review_descriptions.py
@@ -3,6 +3,7 @@
 import copy
 import datetime
 import logging
+import math
 import os
 import shutil
 import threading
@@ -10,22 +11,29 @@ from pathlib import Path
 from typing import Any
 
 import cv2
+from peewee import DoesNotExist
+from titlecase import titlecase
 
 from frigate.comms.embeddings_updater import EmbeddingsRequestEnum
 from frigate.comms.inter_process import InterProcessRequestor
 from frigate.config import FrigateConfig
-from frigate.config.camera.review import GenAIReviewConfig
+from frigate.config.camera import CameraConfig
+from frigate.config.camera.review import GenAIReviewConfig, ImageSourceEnum
 from frigate.const import CACHE_DIR, CLIPS_DIR, UPDATE_REVIEW_DESCRIPTION
 from frigate.data_processing.types import PostProcessDataEnum
 from frigate.genai import GenAIClient
-from frigate.models import ReviewSegment
+from frigate.models import Recordings, ReviewSegment
 from frigate.util.builtin import EventsPerSecond, InferenceSpeed
+from frigate.util.image import get_image_from_recording
 
 from ..post.api import PostProcessorApi
 from ..types import DataProcessorMetrics
 
 logger = logging.getLogger(__name__)
 
+RECORDING_BUFFER_EXTENSION_PERCENT = 0.10
+MIN_RECORDING_DURATION = 10
+
 
 class ReviewDescriptionProcessor(PostProcessorApi):
     def __init__(
@@ -43,20 +51,53 @@ class ReviewDescriptionProcessor(PostProcessorApi):
         self.review_descs_dps = EventsPerSecond()
         self.review_descs_dps.start()
 
-    def calculate_frame_count(self) -> int:
-        """Calculate optimal number of frames based on context size."""
-        # With our preview images (height of 180px) each image should be ~100 tokens per image
-        # We want to be conservative to not have too long of query times with too many images
-        context_size = self.genai_client.get_context_size()
+    def calculate_frame_count(
+        self,
+        camera: str,
+        image_source: ImageSourceEnum = ImageSourceEnum.preview,
+        height: int = 480,
+    ) -> int:
+        """Calculate optimal number of frames based on context size, image source, and resolution.
 
-        if context_size > 10000:
-            return 20
-        elif context_size > 6000:
-            return 16
-        elif context_size > 4000:
-            return 12
+        Token usage varies by resolution: larger images (ultrawide aspect ratios) use more tokens.
+        Estimates ~1 token per 1250 pixels. Targets 98% context utilization with safety margin.
+        Capped at 20 frames.
+        """
+        context_size = self.genai_client.get_context_size()
+        camera_config = self.config.cameras[camera]
+
+        detect_width = camera_config.detect.width
+        detect_height = camera_config.detect.height
+        aspect_ratio = detect_width / detect_height
+
+        if image_source == ImageSourceEnum.recordings:
+            if aspect_ratio >= 1:
+                # Landscape or square: constrain height
+                width = int(height * aspect_ratio)
+            else:
+                # Portrait: constrain width
+                width = height
+                height = int(width / aspect_ratio)
         else:
-            return 8
+            if aspect_ratio >= 1:
+                # Landscape or square: constrain height
+                target_height = 180
+                width = int(target_height * aspect_ratio)
+                height = target_height
+            else:
+                # Portrait: constrain width
+                target_width = 180
+                width = target_width
+                height = int(target_width / aspect_ratio)
+
+        pixels_per_image = width * height
+        tokens_per_image = pixels_per_image / 1250
+        prompt_tokens = 3800
+        response_tokens = 300
+        available_tokens = context_size - prompt_tokens - response_tokens
+        max_frames = int(available_tokens / tokens_per_image)
+
+        return min(max(max_frames, 3), 20)
 
     def process_data(self, data, data_type):
         self.metrics.review_desc_dps.value = self.review_descs_dps.eps()
@@ -88,36 +129,61 @@ class ReviewDescriptionProcessor(PostProcessorApi):
             ):
                 return
 
-            frames = self.get_cache_frames(
-                camera, final_data["start_time"], final_data["end_time"]
-            )
+            image_source = camera_config.review.genai.image_source
 
-            if not frames:
-                frames = [final_data["thumb_path"]]
+            if image_source == ImageSourceEnum.recordings:
+                duration = final_data["end_time"] - final_data["start_time"]
+                buffer_extension = min(5, duration * RECORDING_BUFFER_EXTENSION_PERCENT)
 
-            thumbs = []
+                # Ensure minimum total duration for short review items
+                # This provides better context for brief events
+                total_duration = duration + (2 * buffer_extension)
+                if total_duration < MIN_RECORDING_DURATION:
+                    # Expand buffer to reach minimum duration, still respecting max of 5s per side
+                    additional_buffer_per_side = (MIN_RECORDING_DURATION - duration) / 2
+                    buffer_extension = min(5, additional_buffer_per_side)
 
-            for idx, thumb_path in enumerate(frames):
-                thumb_data = cv2.imread(thumb_path)
-                ret, jpg = cv2.imencode(
-                    ".jpg", thumb_data, [int(cv2.IMWRITE_JPEG_QUALITY), 100]
+                thumbs = self.get_recording_frames(
+                    camera,
+                    final_data["start_time"] - buffer_extension,
+                    final_data["end_time"] + buffer_extension,
+                    height=480,  # Use 480p for good balance between quality and token usage
                 )
 
-                if ret:
-                    thumbs.append(jpg.tobytes())
-
-                if camera_config.review.genai.debug_save_thumbnails:
-                    id = data["after"]["id"]
-                    Path(os.path.join(CLIPS_DIR, "genai-requests", f"{id}")).mkdir(
+                if not thumbs:
+                    # Fallback to preview frames if no recordings available
+                    logger.warning(
+                        f"No recording frames found for {camera}, falling back to preview frames"
+                    )
+                    thumbs = self.get_preview_frames_as_bytes(
+                        camera,
+                        final_data["start_time"],
+                        final_data["end_time"],
+                        final_data["thumb_path"],
+                        id,
+                        camera_config.review.genai.debug_save_thumbnails,
+                    )
+                elif camera_config.review.genai.debug_save_thumbnails:
+                    # Save debug thumbnails for recordings
+                    Path(os.path.join(CLIPS_DIR, "genai-requests", id)).mkdir(
                         parents=True, exist_ok=True
                     )
-                    shutil.copy(
-                        thumb_path,
-                        os.path.join(
-                            CLIPS_DIR,
-                            f"genai-requests/{id}/{idx}.webp",
-                        ),
-                    )
+                    for idx, frame_bytes in enumerate(thumbs):
+                        with open(
+                            os.path.join(CLIPS_DIR, f"genai-requests/{id}/{idx}.jpg"),
+                            "wb",
+                        ) as f:
+                            f.write(frame_bytes)
+            else:
+                # Use preview frames
+                thumbs = self.get_preview_frames_as_bytes(
+                    camera,
+                    final_data["start_time"],
+                    final_data["end_time"],
+                    final_data["thumb_path"],
+                    id,
+                    camera_config.review.genai.debug_save_thumbnails,
+                )
 
             # kickoff analysis
             self.review_descs_dps.update()
@@ -127,11 +193,12 @@ class ReviewDescriptionProcessor(PostProcessorApi):
                     self.requestor,
                     self.genai_client,
                     self.review_desc_speed,
-                    camera,
+                    camera_config,
                     final_data,
                     thumbs,
                     camera_config.review.genai,
                     list(self.config.model.merged_labelmap.values()),
+                    self.config.model.all_attributes,
                 ),
             ).start()
 
@@ -142,10 +209,22 @@ class ReviewDescriptionProcessor(PostProcessorApi):
             logger.debug(
                 f"Found GenAI Review Summary request for {start_ts} to {end_ts}"
             )
-            items: list[dict[str, Any]] = [
-                r["data"]["metadata"]
+
+            # Query all review segments with camera and time information
+            segments: list[dict[str, Any]] = [
+                {
+                    "camera": r["camera"].replace("_", " ").title(),
+                    "start_time": r["start_time"],
+                    "end_time": r["end_time"],
+                    "metadata": r["data"]["metadata"],
+                }
                 for r in (
-                    ReviewSegment.select(ReviewSegment.data)
+                    ReviewSegment.select(
+                        ReviewSegment.camera,
+                        ReviewSegment.start_time,
+                        ReviewSegment.end_time,
+                        ReviewSegment.data,
+                    )
                     .where(
                         (ReviewSegment.data["metadata"].is_null(False))
                         & (ReviewSegment.start_time < end_ts)
@@ -157,21 +236,72 @@ class ReviewDescriptionProcessor(PostProcessorApi):
                 )
             ]
 
-            if len(items) == 0:
+            if len(segments) == 0:
                 logger.debug("No review items with metadata found during time period")
-                return "No activity was found during this time."
+                return "No activity was found during this time period."
 
-            important_items = list(
-                filter(
-                    lambda item: item.get("potential_threat_level", 0) > 0
-                    or item.get("other_concerns"),
-                    items,
-                )
-            )
+            # Identify primary items (important items that need review)
+            primary_segments = [
+                seg
+                for seg in segments
+                if seg["metadata"].get("potential_threat_level", 0) > 0
+                or seg["metadata"].get("other_concerns")
+            ]
 
-            if not important_items:
+            if not primary_segments:
                 return "No concerns were found during this time period."
 
+            # Build hierarchical structure: each primary event with its contextual items
+            events_with_context = []
+
+            for primary_seg in primary_segments:
+                # Start building the primary event structure
+                primary_item = copy.deepcopy(primary_seg["metadata"])
+                primary_item["camera"] = primary_seg["camera"]
+                primary_item["start_time"] = primary_seg["start_time"]
+                primary_item["end_time"] = primary_seg["end_time"]
+
+                # Find overlapping contextual items from other cameras
+                primary_start = primary_seg["start_time"]
+                primary_end = primary_seg["end_time"]
+                primary_camera = primary_seg["camera"]
+                contextual_items = []
+                seen_contextual_cameras = set()
+
+                for seg in segments:
+                    seg_camera = seg["camera"]
+
+                    if seg_camera == primary_camera:
+                        continue
+
+                    if seg in primary_segments:
+                        continue
+
+                    seg_start = seg["start_time"]
+                    seg_end = seg["end_time"]
+
+                    if seg_start < primary_end and primary_start < seg_end:
+                        # Avoid duplicates if same camera has multiple overlapping segments
+                        if seg_camera not in seen_contextual_cameras:
+                            contextual_item = copy.deepcopy(seg["metadata"])
+                            contextual_item["camera"] = seg_camera
+                            contextual_item["start_time"] = seg_start
+                            contextual_item["end_time"] = seg_end
+                            contextual_items.append(contextual_item)
+                            seen_contextual_cameras.add(seg_camera)
+
+                # Add context array to primary item
+                primary_item["context"] = contextual_items
+                events_with_context.append(primary_item)
+
+            total_context_items = sum(
+                len(event.get("context", [])) for event in events_with_context
+            )
+            logger.debug(
+                f"Summary includes {len(events_with_context)} primary events with "
+                f"{total_context_items} total contextual items"
+            )
+
             if self.config.review.genai.debug_save_thumbnails:
                 Path(
                     os.path.join(CLIPS_DIR, "genai-requests", f"{start_ts}-{end_ts}")
@@ -180,7 +310,8 @@ class ReviewDescriptionProcessor(PostProcessorApi):
             return self.genai_client.generate_review_summary(
                 start_ts,
                 end_ts,
-                important_items,
+                events_with_context,
+                self.config.review.genai.preferred_language,
                 self.config.review.genai.debug_save_thumbnails,
             )
         else:
@@ -217,7 +348,7 @@ class ReviewDescriptionProcessor(PostProcessorApi):
             all_frames.append(os.path.join(preview_dir, file))
 
         frame_count = len(all_frames)
-        desired_frame_count = self.calculate_frame_count()
+        desired_frame_count = self.calculate_frame_count(camera)
 
         if frame_count <= desired_frame_count:
             return all_frames
@@ -231,48 +362,179 @@ class ReviewDescriptionProcessor(PostProcessorApi):
 
         return selected_frames
 
+    def get_recording_frames(
+        self,
+        camera: str,
+        start_time: float,
+        end_time: float,
+        height: int = 480,
+    ) -> list[bytes]:
+        """Get frames from recordings at specified timestamps."""
+        duration = end_time - start_time
+        desired_frame_count = self.calculate_frame_count(
+            camera, ImageSourceEnum.recordings, height
+        )
+
+        # Calculate evenly spaced timestamps throughout the duration
+        if desired_frame_count == 1:
+            timestamps = [start_time + duration / 2]
+        else:
+            step = duration / (desired_frame_count - 1)
+            timestamps = [start_time + (i * step) for i in range(desired_frame_count)]
+
+        def extract_frame_from_recording(ts: float) -> bytes | None:
+            """Extract a single frame from recording at given timestamp."""
+            try:
+                recording = (
+                    Recordings.select(
+                        Recordings.path,
+                        Recordings.start_time,
+                    )
+                    .where((ts >= Recordings.start_time) & (ts <= Recordings.end_time))
+                    .where(Recordings.camera == camera)
+                    .order_by(Recordings.start_time.desc())
+                    .limit(1)
+                    .get()
+                )
+
+                time_in_segment = ts - recording.start_time
+                return get_image_from_recording(
+                    self.config.ffmpeg,
+                    recording.path,
+                    time_in_segment,
+                    "mjpeg",
+                    height=height,
+                )
+            except DoesNotExist:
+                return None
+
+        frames = []
+
+        for timestamp in timestamps:
+            try:
+                # Try to extract frame at exact timestamp
+                image_data = extract_frame_from_recording(timestamp)
+
+                if not image_data:
+                    # Try with rounded timestamp as fallback
+                    rounded_timestamp = math.ceil(timestamp)
+                    image_data = extract_frame_from_recording(rounded_timestamp)
+
+                if image_data:
+                    frames.append(image_data)
+                else:
+                    logger.warning(
+                        f"No recording found for {camera} at timestamp {timestamp}"
+                    )
+            except Exception as e:
+                logger.error(
+                    f"Error extracting frame from recording for {camera} at {timestamp}: {e}"
+                )
+                continue
+
+        return frames
+
+    def get_preview_frames_as_bytes(
+        self,
+        camera: str,
+        start_time: float,
+        end_time: float,
+        thumb_path_fallback: str,
+        review_id: str,
+        save_debug: bool,
+    ) -> list[bytes]:
+        """Get preview frames and convert them to JPEG bytes.
+
+        Args:
+            camera: Camera name
+            start_time: Start timestamp
+            end_time: End timestamp
+            thumb_path_fallback: Fallback thumbnail path if no preview frames found
+            review_id: Review item ID for debug saving
+            save_debug: Whether to save debug thumbnails
+
+        Returns:
+            List of JPEG image bytes
+        """
+        frame_paths = self.get_cache_frames(camera, start_time, end_time)
+        if not frame_paths:
+            frame_paths = [thumb_path_fallback]
+
+        thumbs = []
+        for idx, thumb_path in enumerate(frame_paths):
+            thumb_data = cv2.imread(thumb_path)
+            ret, jpg = cv2.imencode(
+                ".jpg", thumb_data, [int(cv2.IMWRITE_JPEG_QUALITY), 100]
+            )
+            if ret:
+                thumbs.append(jpg.tobytes())
+
+            if save_debug:
+                Path(os.path.join(CLIPS_DIR, "genai-requests", review_id)).mkdir(
+                    parents=True, exist_ok=True
+                )
+                shutil.copy(
+                    thumb_path,
+                    os.path.join(CLIPS_DIR, f"genai-requests/{review_id}/{idx}.webp"),
+                )
+
+        return thumbs
+
 
 @staticmethod
 def run_analysis(
     requestor: InterProcessRequestor,
     genai_client: GenAIClient,
     review_inference_speed: InferenceSpeed,
-    camera: str,
+    camera_config: CameraConfig,
     final_data: dict[str, str],
     thumbs: list[bytes],
     genai_config: GenAIReviewConfig,
     labelmap_objects: list[str],
+    attribute_labels: list[str],
 ) -> None:
     start = datetime.datetime.now().timestamp()
+
+    # Format zone names using zone config friendly names if available
+    formatted_zones = []
+    for zone_name in final_data["data"]["zones"]:
+        if zone_name in camera_config.zones:
+            formatted_zones.append(
+                camera_config.zones[zone_name].get_formatted_name(zone_name)
+            )
+
     analytics_data = {
         "id": final_data["id"],
-        "camera": camera,
-        "zones": final_data["data"]["zones"],
+        "camera": camera_config.get_formatted_name(),
+        "zones": formatted_zones,
         "start": datetime.datetime.fromtimestamp(final_data["start_time"]).strftime(
             "%A, %I:%M %p"
         ),
         "duration": round(final_data["end_time"] - final_data["start_time"]),
     }
 
-    objects = []
-    named_objects = []
+    unified_objects = []
 
     objects_list = final_data["data"]["objects"]
     sub_labels_list = final_data["data"]["sub_labels"]
 
+    for i, verified_label in enumerate(final_data["data"]["verified_objects"]):
+        object_type = verified_label.replace("-verified", "").replace("_", " ")
+        name = titlecase(sub_labels_list[i].replace("_", " "))
+        unified_objects.append(f"{name} ({object_type})")
+
     for label in objects_list:
         if "-verified" in label:
             continue
         elif label in labelmap_objects:
-            objects.append(label.replace("_", " ").title())
+            object_type = titlecase(label.replace("_", " "))
 
-    for i, verified_label in enumerate(final_data["data"]["verified_objects"]):
-        named_objects.append(
-            f"{sub_labels_list[i].replace('_', ' ').title()} ({verified_label.replace('-verified', '')})"
-        )
+            if label in attribute_labels:
+                unified_objects.append(f"{object_type} (delivery/service)")
+            else:
+                unified_objects.append(object_type)
 
-    analytics_data["objects"] = objects
-    analytics_data["recognized_objects"] = named_objects
+    analytics_data["unified_objects"] = unified_objects
 
     metadata = genai_client.generate_review_description(
         analytics_data,
diff --git a/frigate/data_processing/post/semantic_trigger.py b/frigate/data_processing/post/semantic_trigger.py
index db1aff751..ec9e5d220 100644
--- a/frigate/data_processing/post/semantic_trigger.py
+++ b/frigate/data_processing/post/semantic_trigger.py
@@ -10,6 +10,10 @@ import cv2
 import numpy as np
 from peewee import DoesNotExist
 
+from frigate.comms.event_metadata_updater import (
+    EventMetadataPublisher,
+    EventMetadataTypeEnum,
+)
 from frigate.comms.inter_process import InterProcessRequestor
 from frigate.config import FrigateConfig
 from frigate.const import CONFIG_DIR
@@ -18,7 +22,7 @@ from frigate.db.sqlitevecq import SqliteVecQueueDatabase
 from frigate.embeddings.util import ZScoreNormalization
 from frigate.models import Event, Trigger
 from frigate.util.builtin import cosine_distance
-from frigate.util.path import get_event_thumbnail_bytes
+from frigate.util.file import get_event_thumbnail_bytes
 
 from ..post.api import PostProcessorApi
 from ..types import DataProcessorMetrics
@@ -34,6 +38,7 @@ class SemanticTriggerProcessor(PostProcessorApi):
         db: SqliteVecQueueDatabase,
         config: FrigateConfig,
         requestor: InterProcessRequestor,
+        sub_label_publisher: EventMetadataPublisher,
         metrics: DataProcessorMetrics,
         embeddings,
     ):
@@ -41,6 +46,7 @@ class SemanticTriggerProcessor(PostProcessorApi):
         self.db = db
         self.embeddings = embeddings
         self.requestor = requestor
+        self.sub_label_publisher = sub_label_publisher
         self.trigger_embeddings: list[np.ndarray] = []
 
         self.thumb_stats = ZScoreNormalization()
@@ -184,14 +190,44 @@ class SemanticTriggerProcessor(PostProcessorApi):
                     ),
                 )
 
+                friendly_name = (
+                    self.config.cameras[camera]
+                    .semantic_search.triggers[trigger["name"]]
+                    .friendly_name
+                )
+
                 if (
                     self.config.cameras[camera]
                     .semantic_search.triggers[trigger["name"]]
                     .actions
                 ):
-                    # TODO: handle actions for the trigger
+                    # handle actions for the trigger
                     # notifications already handled by webpush
-                    pass
+                    if (
+                        "sub_label"
+                        in self.config.cameras[camera]
+                        .semantic_search.triggers[trigger["name"]]
+                        .actions
+                    ):
+                        self.sub_label_publisher.publish(
+                            (event_id, friendly_name, similarity),
+                            EventMetadataTypeEnum.sub_label,
+                        )
+                    if (
+                        "attribute"
+                        in self.config.cameras[camera]
+                        .semantic_search.triggers[trigger["name"]]
+                        .actions
+                    ):
+                        self.sub_label_publisher.publish(
+                            (
+                                event_id,
+                                trigger["name"],
+                                trigger["type"],
+                                similarity,
+                            ),
+                            EventMetadataTypeEnum.attribute.value,
+                        )
 
             if WRITE_DEBUG_IMAGES:
                 try:
diff --git a/frigate/data_processing/post/types.py b/frigate/data_processing/post/types.py
index 70fec9b34..44bb09fb0 100644
--- a/frigate/data_processing/post/types.py
+++ b/frigate/data_processing/post/types.py
@@ -8,6 +8,9 @@ class ReviewMetadata(BaseModel):
     scene: str = Field(
         description="A comprehensive description of the setting and entities, including relevant context and plausible inferences if supported by visual evidence."
     )
+    shortSummary: str = Field(
+        description="A brief 2-sentence summary of the scene, suitable for notifications. Should capture the key activity and context without full detail."
+    )
     confidence: float = Field(
         description="A float between 0 and 1 representing your overall confidence in this analysis."
     )
diff --git a/frigate/data_processing/real_time/bird.py b/frigate/data_processing/real_time/bird.py
index e599ab0fb..7851c0997 100644
--- a/frigate/data_processing/real_time/bird.py
+++ b/frigate/data_processing/real_time/bird.py
@@ -13,7 +13,7 @@ from frigate.comms.event_metadata_updater import (
 )
 from frigate.config import FrigateConfig
 from frigate.const import MODEL_CACHE_DIR
-from frigate.log import redirect_output_to_logger
+from frigate.log import suppress_stderr_during
 from frigate.util.object import calculate_region
 
 from ..types import DataProcessorMetrics
@@ -80,13 +80,14 @@ class BirdRealTimeProcessor(RealTimeProcessorApi):
         except Exception as e:
             logger.error(f"Failed to download {path}: {e}")
 
-    @redirect_output_to_logger(logger, logging.DEBUG)
     def __build_detector(self) -> None:
-        self.interpreter = Interpreter(
-            model_path=os.path.join(MODEL_CACHE_DIR, "bird/bird.tflite"),
-            num_threads=2,
-        )
-        self.interpreter.allocate_tensors()
+        # Suppress TFLite delegate creation messages that bypass Python logging
+        with suppress_stderr_during("tflite_interpreter_init"):
+            self.interpreter = Interpreter(
+                model_path=os.path.join(MODEL_CACHE_DIR, "bird/bird.tflite"),
+                num_threads=2,
+            )
+            self.interpreter.allocate_tensors()
         self.tensor_input_details = self.interpreter.get_input_details()
         self.tensor_output_details = self.interpreter.get_output_details()
 
diff --git a/frigate/data_processing/real_time/custom_classification.py b/frigate/data_processing/real_time/custom_classification.py
index e5e4fc90e..19a40fd99 100644
--- a/frigate/data_processing/real_time/custom_classification.py
+++ b/frigate/data_processing/real_time/custom_classification.py
@@ -1,6 +1,7 @@
 """Real time processor that works with classification tflite models."""
 
 import datetime
+import json
 import logging
 import os
 from typing import Any
@@ -20,7 +21,8 @@ from frigate.config.classification import (
     ObjectClassificationType,
 )
 from frigate.const import CLIPS_DIR, MODEL_CACHE_DIR
-from frigate.log import redirect_output_to_logger
+from frigate.log import suppress_stderr_during
+from frigate.types import TrackedObjectUpdateTypesEnum
 from frigate.util.builtin import EventsPerSecond, InferenceSpeed, load_labels
 from frigate.util.object import box_overlaps, calculate_region
 
@@ -34,6 +36,8 @@ except ModuleNotFoundError:
 
 logger = logging.getLogger(__name__)
 
+MAX_OBJECT_CLASSIFICATIONS = 16
+
 
 class CustomStateClassificationProcessor(RealTimeProcessorApi):
     def __init__(
@@ -48,19 +52,32 @@ class CustomStateClassificationProcessor(RealTimeProcessorApi):
         self.requestor = requestor
         self.model_dir = os.path.join(MODEL_CACHE_DIR, self.model_config.name)
         self.train_dir = os.path.join(CLIPS_DIR, self.model_config.name, "train")
-        self.interpreter: Interpreter | None = None
+        self.interpreter: Interpreter = None
         self.tensor_input_details: dict[str, Any] | None = None
         self.tensor_output_details: dict[str, Any] | None = None
         self.labelmap: dict[int, str] = {}
         self.classifications_per_second = EventsPerSecond()
-        self.inference_speed = InferenceSpeed(
-            self.metrics.classification_speeds[self.model_config.name]
-        )
+        self.state_history: dict[str, dict[str, Any]] = {}
+
+        if (
+            self.metrics
+            and self.model_config.name in self.metrics.classification_speeds
+        ):
+            self.inference_speed = InferenceSpeed(
+                self.metrics.classification_speeds[self.model_config.name]
+            )
+        else:
+            self.inference_speed = None
+
         self.last_run = datetime.datetime.now().timestamp()
         self.__build_detector()
 
-    @redirect_output_to_logger(logger, logging.DEBUG)
     def __build_detector(self) -> None:
+        try:
+            from tflite_runtime.interpreter import Interpreter
+        except ModuleNotFoundError:
+            from tensorflow.lite.python.interpreter import Interpreter
+
         model_path = os.path.join(self.model_dir, "model.tflite")
         labelmap_path = os.path.join(self.model_dir, "labelmap.txt")
 
@@ -71,11 +88,13 @@ class CustomStateClassificationProcessor(RealTimeProcessorApi):
             self.labelmap = {}
             return
 
-        self.interpreter = Interpreter(
-            model_path=model_path,
-            num_threads=2,
-        )
-        self.interpreter.allocate_tensors()
+        # Suppress TFLite delegate creation messages that bypass Python logging
+        with suppress_stderr_during("tflite_interpreter_init"):
+            self.interpreter = Interpreter(
+                model_path=model_path,
+                num_threads=2,
+            )
+            self.interpreter.allocate_tensors()
         self.tensor_input_details = self.interpreter.get_input_details()
         self.tensor_output_details = self.interpreter.get_output_details()
         self.labelmap = load_labels(labelmap_path, prefill=0)
@@ -83,12 +102,86 @@ class CustomStateClassificationProcessor(RealTimeProcessorApi):
 
     def __update_metrics(self, duration: float) -> None:
         self.classifications_per_second.update()
-        self.inference_speed.update(duration)
+        if self.inference_speed:
+            self.inference_speed.update(duration)
+
+    def _should_save_image(
+        self, camera: str, detected_state: str, score: float = 1.0
+    ) -> bool:
+        """
+        Determine if we should save the image for training.
+        Save when:
+        - State is changing or being verified (regardless of score)
+        - Score is less than 100% (even if state matches, useful for training)
+        Don't save when:
+        - State is stable (matches current_state) AND score is 100%
+        """
+        if camera not in self.state_history:
+            # First detection for this camera, save it
+            return True
+
+        verification = self.state_history[camera]
+        current_state = verification.get("current_state")
+        pending_state = verification.get("pending_state")
+
+        # Save if there's a pending state change being verified
+        if pending_state is not None:
+            return True
+
+        # Save if the detected state differs from the current verified state
+        # (state is changing)
+        if current_state is not None and detected_state != current_state:
+            return True
+
+        # If score is less than 100%, save even if state matches
+        # (useful for training to improve confidence)
+        if score < 1.0:
+            return True
+
+        # Don't save if state is stable (detected_state == current_state) AND score is 100%
+        return False
+
+    def verify_state_change(self, camera: str, detected_state: str) -> str | None:
+        """
+        Verify state change requires 3 consecutive identical states before publishing.
+        Returns state to publish or None if verification not complete.
+        """
+        if camera not in self.state_history:
+            self.state_history[camera] = {
+                "current_state": None,
+                "pending_state": None,
+                "consecutive_count": 0,
+            }
+
+        verification = self.state_history[camera]
+
+        if detected_state == verification["current_state"]:
+            verification["pending_state"] = None
+            verification["consecutive_count"] = 0
+            return None
+
+        if detected_state == verification["pending_state"]:
+            verification["consecutive_count"] += 1
+
+            if verification["consecutive_count"] >= 3:
+                verification["current_state"] = detected_state
+                verification["pending_state"] = None
+                verification["consecutive_count"] = 0
+                return detected_state
+        else:
+            verification["pending_state"] = detected_state
+            verification["consecutive_count"] = 1
+            logger.debug(
+                f"New state '{detected_state}' detected for {camera}, need {3 - verification['consecutive_count']} more consecutive detections"
+            )
+
+        return None
 
     def process_frame(self, frame_data: dict[str, Any], frame: np.ndarray):
-        self.metrics.classification_cps[
-            self.model_config.name
-        ].value = self.classifications_per_second.eps()
+        if self.metrics and self.model_config.name in self.metrics.classification_cps:
+            self.metrics.classification_cps[
+                self.model_config.name
+            ].value = self.classifications_per_second.eps()
         camera = frame_data.get("camera")
 
         if camera not in self.model_config.state_config.cameras:
@@ -96,10 +189,10 @@ class CustomStateClassificationProcessor(RealTimeProcessorApi):
 
         camera_config = self.model_config.state_config.cameras[camera]
         crop = [
-            camera_config.crop[0],
-            camera_config.crop[1],
-            camera_config.crop[2],
-            camera_config.crop[3],
+            camera_config.crop[0] * self.config.cameras[camera].detect.width,
+            camera_config.crop[1] * self.config.cameras[camera].detect.height,
+            camera_config.crop[2] * self.config.cameras[camera].detect.width,
+            camera_config.crop[3] * self.config.cameras[camera].detect.height,
         ]
         should_run = False
 
@@ -121,41 +214,68 @@ class CustomStateClassificationProcessor(RealTimeProcessorApi):
                 self.last_run = now
                 should_run = True
 
+        # Shortcut: always run if we have a pending state verification to complete
+        if (
+            not should_run
+            and camera in self.state_history
+            and self.state_history[camera]["pending_state"] is not None
+            and now > self.last_run + 0.5
+        ):
+            self.last_run = now
+            should_run = True
+            logger.debug(
+                f"Running verification check for pending state: {self.state_history[camera]['pending_state']} ({self.state_history[camera]['consecutive_count']}/3)"
+            )
+
         if not should_run:
             return
 
-        x, y, x2, y2 = calculate_region(
-            frame.shape,
-            crop[0],
-            crop[1],
-            crop[2],
-            crop[3],
-            224,
-            1.0,
-        )
-
         rgb = cv2.cvtColor(frame, cv2.COLOR_YUV2RGB_I420)
-        frame = rgb[
-            y:y2,
-            x:x2,
-        ]
+        height, width = rgb.shape[:2]
 
-        if frame.shape != (224, 224):
-            try:
-                resized_frame = cv2.resize(frame, (224, 224))
-            except Exception:
-                logger.warning("Failed to resize image for state classification")
-                return
+        # Convert normalized crop coordinates to pixel values
+        x1 = int(camera_config.crop[0] * width)
+        y1 = int(camera_config.crop[1] * height)
+        x2 = int(camera_config.crop[2] * width)
+        y2 = int(camera_config.crop[3] * height)
+
+        # Clip coordinates to frame boundaries
+        x1 = max(0, min(x1, width))
+        y1 = max(0, min(y1, height))
+        x2 = max(0, min(x2, width))
+        y2 = max(0, min(y2, height))
+
+        if x2 <= x1 or y2 <= y1:
+            logger.warning(
+                f"Invalid crop coordinates for {camera}: [{x1}, {y1}, {x2}, {y2}]"
+            )
+            return
+
+        frame = rgb[y1:y2, x1:x2]
+
+        try:
+            resized_frame = cv2.resize(frame, (224, 224))
+        except Exception:
+            logger.warning("Failed to resize image for state classification")
+            return
 
         if self.interpreter is None:
-            write_classification_attempt(
-                self.train_dir,
-                cv2.cvtColor(frame, cv2.COLOR_RGB2BGR),
-                "none-none",
-                now,
-                "unknown",
-                0.0,
-            )
+            # When interpreter is None, always save (score is 0.0, which is < 1.0)
+            if self._should_save_image(camera, "unknown", 0.0):
+                save_attempts = (
+                    self.model_config.save_attempts
+                    if self.model_config.save_attempts is not None
+                    else 100
+                )
+                write_classification_attempt(
+                    self.train_dir,
+                    cv2.cvtColor(frame, cv2.COLOR_RGB2BGR),
+                    "none-none",
+                    now,
+                    "unknown",
+                    0.0,
+                    max_files=save_attempts,
+                )
             return
 
         input = np.expand_dims(resized_frame, axis=0)
@@ -165,23 +285,43 @@ class CustomStateClassificationProcessor(RealTimeProcessorApi):
             self.tensor_output_details[0]["index"]
         )[0]
         probs = res / res.sum(axis=0)
+        logger.debug(
+            f"{self.model_config.name} Ran state classification with probabilities: {probs}"
+        )
         best_id = np.argmax(probs)
         score = round(probs[best_id], 2)
         self.__update_metrics(datetime.datetime.now().timestamp() - now)
 
-        write_classification_attempt(
-            self.train_dir,
-            cv2.cvtColor(frame, cv2.COLOR_RGB2BGR),
-            "none-none",
-            now,
-            self.labelmap[best_id],
-            score,
-        )
+        detected_state = self.labelmap[best_id]
 
-        if score >= self.model_config.threshold:
+        if self._should_save_image(camera, detected_state, score):
+            save_attempts = (
+                self.model_config.save_attempts
+                if self.model_config.save_attempts is not None
+                else 100
+            )
+            write_classification_attempt(
+                self.train_dir,
+                cv2.cvtColor(frame, cv2.COLOR_RGB2BGR),
+                "none-none",
+                now,
+                detected_state,
+                score,
+                max_files=save_attempts,
+            )
+
+        if score < self.model_config.threshold:
+            logger.debug(
+                f"Score {score} below threshold {self.model_config.threshold}, skipping verification"
+            )
+            return
+
+        verified_state = self.verify_state_change(camera, detected_state)
+
+        if verified_state is not None:
             self.requestor.send_data(
                 f"{camera}/classification/{self.model_config.name}",
-                self.labelmap[best_id],
+                verified_state,
             )
 
     def handle_request(self, topic, request_data):
@@ -210,25 +350,34 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
         config: FrigateConfig,
         model_config: CustomClassificationConfig,
         sub_label_publisher: EventMetadataPublisher,
+        requestor: InterProcessRequestor,
         metrics: DataProcessorMetrics,
     ):
         super().__init__(config, metrics)
         self.model_config = model_config
         self.model_dir = os.path.join(MODEL_CACHE_DIR, self.model_config.name)
         self.train_dir = os.path.join(CLIPS_DIR, self.model_config.name, "train")
-        self.interpreter: Interpreter | None = None
+        self.interpreter: Interpreter = None
         self.sub_label_publisher = sub_label_publisher
+        self.requestor = requestor
         self.tensor_input_details: dict[str, Any] | None = None
         self.tensor_output_details: dict[str, Any] | None = None
-        self.detected_objects: dict[str, float] = {}
+        self.classification_history: dict[str, list[tuple[str, float, float]]] = {}
         self.labelmap: dict[int, str] = {}
         self.classifications_per_second = EventsPerSecond()
-        self.inference_speed = InferenceSpeed(
-            self.metrics.classification_speeds[self.model_config.name]
-        )
+
+        if (
+            self.metrics
+            and self.model_config.name in self.metrics.classification_speeds
+        ):
+            self.inference_speed = InferenceSpeed(
+                self.metrics.classification_speeds[self.model_config.name]
+            )
+        else:
+            self.inference_speed = None
+
         self.__build_detector()
 
-    @redirect_output_to_logger(logger, logging.DEBUG)
     def __build_detector(self) -> None:
         model_path = os.path.join(self.model_dir, "model.tflite")
         labelmap_path = os.path.join(self.model_dir, "labelmap.txt")
@@ -240,23 +389,97 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
             self.labelmap = {}
             return
 
-        self.interpreter = Interpreter(
-            model_path=model_path,
-            num_threads=2,
-        )
-        self.interpreter.allocate_tensors()
+        # Suppress TFLite delegate creation messages that bypass Python logging
+        with suppress_stderr_during("tflite_interpreter_init"):
+            self.interpreter = Interpreter(
+                model_path=model_path,
+                num_threads=2,
+            )
+            self.interpreter.allocate_tensors()
         self.tensor_input_details = self.interpreter.get_input_details()
         self.tensor_output_details = self.interpreter.get_output_details()
         self.labelmap = load_labels(labelmap_path, prefill=0)
 
     def __update_metrics(self, duration: float) -> None:
         self.classifications_per_second.update()
-        self.inference_speed.update(duration)
+        if self.inference_speed:
+            self.inference_speed.update(duration)
+
+    def get_weighted_score(
+        self,
+        object_id: str,
+        current_label: str,
+        current_score: float,
+        current_time: float,
+    ) -> tuple[str | None, float]:
+        """
+        Determine weighted score based on history to prevent false positives/negatives.
+        Requires 60% of attempts to agree on a label before publishing.
+        Returns (weighted_label, weighted_score) or (None, 0.0) if no weighted score.
+        """
+        if object_id not in self.classification_history:
+            self.classification_history[object_id] = []
+            logger.debug(f"Created new classification history for {object_id}")
+
+        self.classification_history[object_id].append(
+            (current_label, current_score, current_time)
+        )
+
+        history = self.classification_history[object_id]
+        logger.debug(
+            f"History for {object_id}: {len(history)} entries, latest=({current_label}, {current_score})"
+        )
+
+        if len(history) < 3:
+            logger.debug(
+                f"History for {object_id} has {len(history)} entries, need at least 3"
+            )
+            return None, 0.0
+
+        label_counts = {}
+        label_scores = {}
+        total_attempts = len(history)
+
+        for label, score, timestamp in history:
+            if label not in label_counts:
+                label_counts[label] = 0
+                label_scores[label] = []
+
+            label_counts[label] += 1
+            label_scores[label].append(score)
+
+        best_label = max(label_counts, key=label_counts.get)
+        best_count = label_counts[best_label]
+
+        consensus_threshold = total_attempts * 0.6
+        logger.debug(
+            f"Consensus calc for {object_id}: label_counts={label_counts}, "
+            f"best_label={best_label}, best_count={best_count}, "
+            f"total={total_attempts}, threshold={consensus_threshold}"
+        )
+
+        if best_count < consensus_threshold:
+            logger.debug(
+                f"No consensus for {object_id}: {best_count} < {consensus_threshold}"
+            )
+            return None, 0.0
+
+        avg_score = sum(label_scores[best_label]) / len(label_scores[best_label])
+
+        if best_label == "none":
+            logger.debug(f"Filtering 'none' label for {object_id}")
+            return None, 0.0
+
+        logger.debug(
+            f"Consensus reached for {object_id}: {best_label} with avg_score={avg_score}"
+        )
+        return best_label, avg_score
 
     def process_frame(self, obj_data, frame):
-        self.metrics.classification_cps[
-            self.model_config.name
-        ].value = self.classifications_per_second.eps()
+        if self.metrics and self.model_config.name in self.metrics.classification_cps:
+            self.metrics.classification_cps[
+                self.model_config.name
+            ].value = self.classifications_per_second.eps()
 
         if obj_data["false_positive"]:
             return
@@ -264,6 +487,18 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
         if obj_data["label"] not in self.model_config.object_config.objects:
             return
 
+        if obj_data.get("end_time") is not None:
+            return
+
+        object_id = obj_data["id"]
+
+        if (
+            object_id in self.classification_history
+            and len(self.classification_history[object_id])
+            >= MAX_OBJECT_CLASSIFICATIONS
+        ):
+            return
+
         now = datetime.datetime.now().timestamp()
         x, y, x2, y2 = calculate_region(
             frame.shape,
@@ -272,8 +507,8 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
             obj_data["box"][2],
             obj_data["box"][3],
             max(
-                obj_data["box"][1] - obj_data["box"][0],
-                obj_data["box"][3] - obj_data["box"][2],
+                obj_data["box"][2] - obj_data["box"][0],
+                obj_data["box"][3] - obj_data["box"][1],
             ),
             1.0,
         )
@@ -292,14 +527,27 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
                 return
 
         if self.interpreter is None:
+            save_attempts = (
+                self.model_config.save_attempts
+                if self.model_config.save_attempts is not None
+                else 200
+            )
             write_classification_attempt(
                 self.train_dir,
                 cv2.cvtColor(crop, cv2.COLOR_RGB2BGR),
-                obj_data["id"],
+                object_id,
                 now,
                 "unknown",
                 0.0,
+                max_files=save_attempts,
             )
+
+            # Still track history even when model doesn't exist to respect MAX_OBJECT_CLASSIFICATIONS
+            # Add an entry with "unknown" label so the history limit is enforced
+            if object_id not in self.classification_history:
+                self.classification_history[object_id] = []
+
+            self.classification_history[object_id].append(("unknown", 0.0, now))
             return
 
         input = np.expand_dims(resized_crop, axis=0)
@@ -309,48 +557,103 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
             self.tensor_output_details[0]["index"]
         )[0]
         probs = res / res.sum(axis=0)
+        logger.debug(
+            f"{self.model_config.name} Ran object classification with probabilities: {probs}"
+        )
         best_id = np.argmax(probs)
         score = round(probs[best_id], 2)
-        previous_score = self.detected_objects.get(obj_data["id"], 0.0)
         self.__update_metrics(datetime.datetime.now().timestamp() - now)
 
+        save_attempts = (
+            self.model_config.save_attempts
+            if self.model_config.save_attempts is not None
+            else 200
+        )
         write_classification_attempt(
             self.train_dir,
             cv2.cvtColor(crop, cv2.COLOR_RGB2BGR),
-            obj_data["id"],
+            object_id,
             now,
             self.labelmap[best_id],
             score,
+            max_files=save_attempts,
         )
 
         if score < self.model_config.threshold:
-            logger.debug(f"Score {score} is less than threshold.")
-            return
-
-        if score <= previous_score:
-            logger.debug(f"Score {score} is worse than previous score {previous_score}")
+            logger.debug(
+                f"{self.model_config.name}: Score {score} < threshold {self.model_config.threshold} for {object_id}, skipping"
+            )
             return
 
         sub_label = self.labelmap[best_id]
-        self.detected_objects[obj_data["id"]] = score
 
-        if (
-            self.model_config.object_config.classification_type
-            == ObjectClassificationType.sub_label
-        ):
-            if sub_label != "none":
+        logger.debug(
+            f"{self.model_config.name}: Object {object_id} (label={obj_data['label']}) passed threshold with sub_label={sub_label}, score={score}"
+        )
+
+        consensus_label, consensus_score = self.get_weighted_score(
+            object_id, sub_label, score, now
+        )
+
+        logger.debug(
+            f"{self.model_config.name}: get_weighted_score returned consensus_label={consensus_label}, consensus_score={consensus_score} for {object_id}"
+        )
+
+        if consensus_label is not None:
+            camera = obj_data["camera"]
+            logger.info(
+                f"{self.model_config.name}: Publishing sub_label={consensus_label} for {obj_data['label']} object {object_id} on {camera}"
+            )
+
+            if (
+                self.model_config.object_config.classification_type
+                == ObjectClassificationType.sub_label
+            ):
                 self.sub_label_publisher.publish(
-                    (obj_data["id"], sub_label, score),
+                    (object_id, consensus_label, consensus_score),
                     EventMetadataTypeEnum.sub_label,
                 )
-        elif (
-            self.model_config.object_config.classification_type
-            == ObjectClassificationType.attribute
-        ):
-            self.sub_label_publisher.publish(
-                (obj_data["id"], self.model_config.name, sub_label, score),
-                EventMetadataTypeEnum.attribute.value,
-            )
+                self.requestor.send_data(
+                    "tracked_object_update",
+                    json.dumps(
+                        {
+                            "type": TrackedObjectUpdateTypesEnum.classification,
+                            "id": object_id,
+                            "camera": camera,
+                            "timestamp": now,
+                            "model": self.model_config.name,
+                            "sub_label": consensus_label,
+                            "score": consensus_score,
+                        }
+                    ),
+                )
+            elif (
+                self.model_config.object_config.classification_type
+                == ObjectClassificationType.attribute
+            ):
+                self.sub_label_publisher.publish(
+                    (
+                        object_id,
+                        self.model_config.name,
+                        consensus_label,
+                        consensus_score,
+                    ),
+                    EventMetadataTypeEnum.attribute.value,
+                )
+                self.requestor.send_data(
+                    "tracked_object_update",
+                    json.dumps(
+                        {
+                            "type": TrackedObjectUpdateTypesEnum.classification,
+                            "id": object_id,
+                            "camera": camera,
+                            "timestamp": now,
+                            "model": self.model_config.name,
+                            "attribute": consensus_label,
+                            "score": consensus_score,
+                        }
+                    ),
+                )
 
     def handle_request(self, topic, request_data):
         if topic == EmbeddingsRequestEnum.reload_classification_model.value:
@@ -368,8 +671,8 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
             return None
 
     def expire_object(self, object_id, camera):
-        if object_id in self.detected_objects:
-            self.detected_objects.pop(object_id)
+        if object_id in self.classification_history:
+            self.classification_history.pop(object_id)
 
 
 @staticmethod
@@ -380,6 +683,7 @@ def write_classification_attempt(
     timestamp: float,
     label: str,
     score: float,
+    max_files: int = 100,
 ) -> None:
     if "-" in label:
         label = label.replace("-", "_")
@@ -388,12 +692,15 @@ def write_classification_attempt(
     os.makedirs(folder, exist_ok=True)
     cv2.imwrite(file, frame)
 
-    files = sorted(
-        filter(lambda f: (f.endswith(".webp")), os.listdir(folder)),
-        key=lambda f: os.path.getctime(os.path.join(folder, f)),
-        reverse=True,
-    )
-
     # delete oldest face image if maximum is reached
-    if len(files) > 100:
-        os.unlink(os.path.join(folder, files[-1]))
+    try:
+        files = sorted(
+            filter(lambda f: (f.endswith(".webp")), os.listdir(folder)),
+            key=lambda f: os.path.getctime(os.path.join(folder, f)),
+            reverse=True,
+        )
+
+        if len(files) > max_files:
+            os.unlink(os.path.join(folder, files[-1]))
+    except (FileNotFoundError, OSError):
+        pass
diff --git a/frigate/data_processing/real_time/face.py b/frigate/data_processing/real_time/face.py
index d3ebc5397..1901a81e1 100644
--- a/frigate/data_processing/real_time/face.py
+++ b/frigate/data_processing/real_time/face.py
@@ -166,6 +166,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
         camera = obj_data["camera"]
 
         if not self.config.cameras[camera].face_recognition.enabled:
+            logger.debug(f"Face recognition disabled for camera {camera}, skipping")
             return
 
         start = datetime.datetime.now().timestamp()
@@ -208,6 +209,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
             person_box = obj_data.get("box")
 
             if not person_box:
+                logger.debug(f"No person box available for {id}")
                 return
 
             rgb = cv2.cvtColor(frame, cv2.COLOR_YUV2RGB_I420)
@@ -233,7 +235,8 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
 
             try:
                 face_frame = cv2.cvtColor(face_frame, cv2.COLOR_RGB2BGR)
-            except Exception:
+            except Exception as e:
+                logger.debug(f"Failed to convert face frame color for {id}: {e}")
                 return
         else:
             # don't run for object without attributes
@@ -251,6 +254,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
 
             # no faces detected in this frame
             if not face:
+                logger.debug(f"No face attributes found for {id}")
                 return
 
             face_box = face.get("box")
@@ -274,6 +278,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
         res = self.recognizer.classify(face_frame)
 
         if not res:
+            logger.debug(f"Face recognizer returned no result for {id}")
             self.__update_metrics(datetime.datetime.now().timestamp() - start)
             return
 
@@ -330,6 +335,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
     def handle_request(self, topic, request_data) -> dict[str, Any] | None:
         if topic == EmbeddingsRequestEnum.clear_face_classifier.value:
             self.recognizer.clear()
+            return {"success": True, "message": "Face classifier cleared."}
         elif topic == EmbeddingsRequestEnum.recognize_face.value:
             img = cv2.imdecode(
                 np.frombuffer(base64.b64decode(request_data["image"]), dtype=np.uint8),
@@ -417,7 +423,10 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
             res = self.recognizer.classify(img)
 
             if not res:
-                return
+                return {
+                    "message": "Model is still training, please try again in a few moments.",
+                    "success": False,
+                }
 
             sub_label, score = res
 
@@ -436,6 +445,13 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
                 )
                 shutil.move(current_file, new_file)
 
+            return {
+                "message": f"Successfully reprocessed face. Result: {sub_label} (score: {score:.2f})",
+                "success": True,
+                "face_name": sub_label,
+                "score": score,
+            }
+
     def expire_object(self, object_id: str, camera: str):
         if object_id in self.person_face_history:
             self.person_face_history.pop(object_id)
diff --git a/frigate/detectors/detection_runners.py b/frigate/detectors/detection_runners.py
index c1bc98c6c..fcbb41e66 100644
--- a/frigate/detectors/detection_runners.py
+++ b/frigate/detectors/detection_runners.py
@@ -3,6 +3,7 @@
 import logging
 import os
 import platform
+import threading
 from abc import ABC, abstractmethod
 from typing import Any
 
@@ -21,21 +22,25 @@ def is_arm64_platform() -> bool:
     return machine in ("aarch64", "arm64", "armv8", "armv7l")
 
 
-def get_ort_session_options() -> ort.SessionOptions | None:
+def get_ort_session_options(
+    is_complex_model: bool = False,
+) -> ort.SessionOptions | None:
     """Get ONNX Runtime session options with appropriate settings.
 
-    On ARM/RKNN platforms, use basic optimizations to avoid graph fusion issues
-    that can break certain models. On amd64, use default optimizations for better performance.
-    """
-    sess_options = None
+    Args:
+        is_complex_model: Whether the model needs basic optimization to avoid graph fusion issues.
 
-    if is_arm64_platform():
+    Returns:
+        SessionOptions with appropriate optimization level, or None for default settings.
+    """
+    if is_complex_model:
         sess_options = ort.SessionOptions()
         sess_options.graph_optimization_level = (
             ort.GraphOptimizationLevel.ORT_ENABLE_BASIC
         )
+        return sess_options
 
-    return sess_options
+    return None
 
 
 # Import OpenVINO only when needed to avoid circular dependencies
@@ -103,6 +108,21 @@ class BaseModelRunner(ABC):
 class ONNXModelRunner(BaseModelRunner):
     """Run ONNX models using ONNX Runtime."""
 
+    @staticmethod
+    def is_cpu_complex_model(model_type: str) -> bool:
+        """Check if model needs basic optimization level to avoid graph fusion issues.
+
+        Some models (like Jina-CLIP) have issues with aggressive optimizations like
+        SimplifiedLayerNormFusion that create or expect nodes that don't exist.
+        """
+        # Import here to avoid circular imports
+        from frigate.embeddings.types import EnrichmentModelTypeEnum
+
+        return model_type in [
+            EnrichmentModelTypeEnum.jina_v1.value,
+            EnrichmentModelTypeEnum.jina_v2.value,
+        ]
+
     @staticmethod
     def is_migraphx_complex_model(model_type: str) -> bool:
         # Import here to avoid circular imports
@@ -111,6 +131,7 @@ class ONNXModelRunner(BaseModelRunner):
 
         return model_type in [
             EnrichmentModelTypeEnum.paddleocr.value,
+            EnrichmentModelTypeEnum.yolov9_license_plate.value,
             EnrichmentModelTypeEnum.jina_v1.value,
             EnrichmentModelTypeEnum.jina_v2.value,
             EnrichmentModelTypeEnum.facenet.value,
@@ -118,8 +139,31 @@ class ONNXModelRunner(BaseModelRunner):
             ModelTypeEnum.dfine.value,
         ]
 
-    def __init__(self, ort: ort.InferenceSession):
+    @staticmethod
+    def is_concurrent_model(model_type: str | None) -> bool:
+        """Check if model requires thread locking for concurrent inference.
+
+        Some models (like JinaV2) share one runner between text and vision embeddings
+        called from different threads, requiring thread synchronization.
+        """
+        if not model_type:
+            return False
+
+        # Import here to avoid circular imports
+        from frigate.embeddings.types import EnrichmentModelTypeEnum
+
+        return model_type == EnrichmentModelTypeEnum.jina_v2.value
+
+    def __init__(self, ort: ort.InferenceSession, model_type: str | None = None):
         self.ort = ort
+        self.model_type = model_type
+
+        # Thread lock to prevent concurrent inference (needed for JinaV2 which shares
+        # one runner between text and vision embeddings called from different threads)
+        if self.is_concurrent_model(model_type):
+            self._inference_lock = threading.Lock()
+        else:
+            self._inference_lock = None
 
     def get_input_names(self) -> list[str]:
         return [input.name for input in self.ort.get_inputs()]
@@ -129,6 +173,10 @@ class ONNXModelRunner(BaseModelRunner):
         return self.ort.get_inputs()[0].shape[3]
 
     def run(self, input: dict[str, Any]) -> Any | None:
+        if self._inference_lock:
+            with self._inference_lock:
+                return self.ort.run(None, input)
+
         return self.ort.run(None, input)
 
 
@@ -142,13 +190,14 @@ class CudaGraphRunner(BaseModelRunner):
     """
 
     @staticmethod
-    def is_complex_model(model_type: str) -> bool:
+    def is_model_supported(model_type: str) -> bool:
         # Import here to avoid circular imports
         from frigate.detectors.detector_config import ModelTypeEnum
         from frigate.embeddings.types import EnrichmentModelTypeEnum
 
-        return model_type in [
+        return model_type not in [
             ModelTypeEnum.yolonas.value,
+            ModelTypeEnum.dfine.value,
             EnrichmentModelTypeEnum.paddleocr.value,
             EnrichmentModelTypeEnum.jina_v1.value,
             EnrichmentModelTypeEnum.jina_v2.value,
@@ -215,11 +264,36 @@ class OpenVINOModelRunner(BaseModelRunner):
         # Import here to avoid circular imports
         from frigate.embeddings.types import EnrichmentModelTypeEnum
 
-        return model_type in [EnrichmentModelTypeEnum.paddleocr.value]
+        return model_type in [
+            EnrichmentModelTypeEnum.paddleocr.value,
+            EnrichmentModelTypeEnum.jina_v2.value,
+        ]
+
+    @staticmethod
+    def is_model_npu_supported(model_type: str) -> bool:
+        # Import here to avoid circular imports
+        from frigate.embeddings.types import EnrichmentModelTypeEnum
+
+        return model_type not in [
+            EnrichmentModelTypeEnum.paddleocr.value,
+            EnrichmentModelTypeEnum.jina_v1.value,
+            EnrichmentModelTypeEnum.jina_v2.value,
+            EnrichmentModelTypeEnum.arcface.value,
+        ]
 
     def __init__(self, model_path: str, device: str, model_type: str, **kwargs):
         self.model_path = model_path
         self.device = device
+        self.model_type = model_type
+
+        if device == "NPU" and not OpenVINOModelRunner.is_model_npu_supported(
+            model_type
+        ):
+            logger.warning(
+                f"OpenVINO model {model_type} is not supported on NPU, using GPU instead"
+            )
+            device = "GPU"
+
         self.complex_model = OpenVINOModelRunner.is_complex_model(model_type)
 
         if not os.path.isfile(model_path):
@@ -247,6 +321,10 @@ class OpenVINOModelRunner(BaseModelRunner):
         self.infer_request = self.compiled_model.create_infer_request()
         self.input_tensor: ov.Tensor | None = None
 
+        # Thread lock to prevent concurrent inference (needed for JinaV2 which shares
+        # one runner between text and vision embeddings called from different threads)
+        self._inference_lock = threading.Lock()
+
         if not self.complex_model:
             try:
                 input_shape = self.compiled_model.inputs[0].get_shape()
@@ -290,55 +368,81 @@ class OpenVINOModelRunner(BaseModelRunner):
         Returns:
             List of output tensors
         """
-        # Handle single input case for backward compatibility
-        if (
-            len(inputs) == 1
-            and len(self.compiled_model.inputs) == 1
-            and self.input_tensor is not None
-        ):
-            # Single input case - use the pre-allocated tensor for efficiency
-            input_data = list(inputs.values())[0]
-            np.copyto(self.input_tensor.data, input_data)
-            self.infer_request.infer(self.input_tensor)
-        else:
-            if self.complex_model:
+        # Lock prevents concurrent access to infer_request
+        # Needed for JinaV2: genai thread (text) + embeddings thread (vision)
+        with self._inference_lock:
+            from frigate.embeddings.types import EnrichmentModelTypeEnum
+
+            if self.model_type in [EnrichmentModelTypeEnum.arcface.value]:
+                # For face recognition models, create a fresh infer_request
+                # for each inference to avoid state pollution that causes incorrect results.
+                self.infer_request = self.compiled_model.create_infer_request()
+
+            # Handle single input case for backward compatibility
+            if (
+                len(inputs) == 1
+                and len(self.compiled_model.inputs) == 1
+                and self.input_tensor is not None
+            ):
+                # Single input case - use the pre-allocated tensor for efficiency
+                input_data = list(inputs.values())[0]
+                np.copyto(self.input_tensor.data, input_data)
+                self.infer_request.infer(self.input_tensor)
+            else:
+                if self.complex_model:
+                    try:
+                        # This ensures the model starts with a clean state for each sequence
+                        # Important for RNN models like PaddleOCR recognition
+                        self.infer_request.reset_state()
+                    except Exception:
+                        # this will raise an exception for models with AUTO set as the device
+                        pass
+
+                # Multiple inputs case - set each input by name
+                for input_name, input_data in inputs.items():
+                    # Find the input by name and its index
+                    input_port = None
+                    input_index = None
+                    for idx, port in enumerate(self.compiled_model.inputs):
+                        if port.get_any_name() == input_name:
+                            input_port = port
+                            input_index = idx
+                            break
+
+                    if input_port is None:
+                        raise ValueError(f"Input '{input_name}' not found in model")
+
+                    # Create tensor with the correct element type
+                    input_element_type = input_port.get_element_type()
+
+                    # Ensure input data matches the expected dtype to prevent type mismatches
+                    # that can occur with models like Jina-CLIP v2 running on OpenVINO
+                    expected_dtype = input_element_type.to_dtype()
+                    if input_data.dtype != expected_dtype:
+                        logger.debug(
+                            f"Converting input '{input_name}' from {input_data.dtype} to {expected_dtype}"
+                        )
+                        input_data = input_data.astype(expected_dtype)
+
+                    input_tensor = ov.Tensor(input_element_type, input_data.shape)
+                    np.copyto(input_tensor.data, input_data)
+
+                    # Set the input tensor for the specific port index
+                    self.infer_request.set_input_tensor(input_index, input_tensor)
+
+                # Run inference
                 try:
-                    # This ensures the model starts with a clean state for each sequence
-                    # Important for RNN models like PaddleOCR recognition
-                    self.infer_request.reset_state()
-                except Exception:
-                    # this will raise an exception for models with AUTO set as the device
-                    pass
+                    self.infer_request.infer()
+                except Exception as e:
+                    logger.error(f"Error during OpenVINO inference: {e}")
+                    return []
 
-            # Multiple inputs case - set each input by name
-            for input_name, input_data in inputs.items():
-                # Find the input by name
-                input_port = None
-                for port in self.compiled_model.inputs:
-                    if port.get_any_name() == input_name:
-                        input_port = port
-                        break
+            # Get all output tensors
+            outputs = []
+            for i in range(len(self.compiled_model.outputs)):
+                outputs.append(self.infer_request.get_output_tensor(i).data)
 
-                if input_port is None:
-                    raise ValueError(f"Input '{input_name}' not found in model")
-
-                # Create tensor with the correct element type
-                input_element_type = input_port.get_element_type()
-                input_tensor = ov.Tensor(input_element_type, input_data.shape)
-                np.copyto(input_tensor.data, input_data)
-
-                # Set the input tensor
-                self.infer_request.set_input_tensor(input_tensor)
-
-            # Run inference
-            self.infer_request.infer()
-
-        # Get all output tensors
-        outputs = []
-        for i in range(len(self.compiled_model.outputs)):
-            outputs.append(self.infer_request.get_output_tensor(i).data)
-
-        return outputs
+            return outputs
 
 
 class RKNNModelRunner(BaseModelRunner):
@@ -466,7 +570,7 @@ def get_optimized_runner(
             return OpenVINOModelRunner(model_path, device, model_type, **kwargs)
 
     if (
-        not CudaGraphRunner.is_complex_model(model_type)
+        CudaGraphRunner.is_model_supported(model_type)
         and providers[0] == "CUDAExecutionProvider"
     ):
         options[0] = {
@@ -494,8 +598,11 @@ def get_optimized_runner(
     return ONNXModelRunner(
         ort.InferenceSession(
             model_path,
-            sess_options=get_ort_session_options(),
+            sess_options=get_ort_session_options(
+                ONNXModelRunner.is_cpu_complex_model(model_type)
+            ),
             providers=providers,
             provider_options=options,
-        )
+        ),
+        model_type=model_type,
     )
diff --git a/frigate/detectors/plugins/cpu_tfl.py b/frigate/detectors/plugins/cpu_tfl.py
index 37cc10777..00351f519 100644
--- a/frigate/detectors/plugins/cpu_tfl.py
+++ b/frigate/detectors/plugins/cpu_tfl.py
@@ -5,7 +5,7 @@ from typing_extensions import Literal
 
 from frigate.detectors.detection_api import DetectionApi
 from frigate.detectors.detector_config import BaseDetectorConfig
-from frigate.log import redirect_output_to_logger
+from frigate.log import suppress_stderr_during
 
 from ..detector_utils import tflite_detect_raw, tflite_init
 
@@ -28,12 +28,13 @@ class CpuDetectorConfig(BaseDetectorConfig):
 class CpuTfl(DetectionApi):
     type_key = DETECTOR_KEY
 
-    @redirect_output_to_logger(logger, logging.DEBUG)
     def __init__(self, detector_config: CpuDetectorConfig):
-        interpreter = Interpreter(
-            model_path=detector_config.model.path,
-            num_threads=detector_config.num_threads or 3,
-        )
+        # Suppress TFLite delegate creation messages that bypass Python logging
+        with suppress_stderr_during("tflite_interpreter_init"):
+            interpreter = Interpreter(
+                model_path=detector_config.model.path,
+                num_threads=detector_config.num_threads or 3,
+            )
 
         tflite_init(self, interpreter)
 
diff --git a/frigate/detectors/plugins/edgetpu_tfl.py b/frigate/detectors/plugins/edgetpu_tfl.py
index 246d2dd41..2b94fde39 100644
--- a/frigate/detectors/plugins/edgetpu_tfl.py
+++ b/frigate/detectors/plugins/edgetpu_tfl.py
@@ -1,19 +1,20 @@
 import logging
+import math
 import os
 
+import cv2
 import numpy as np
 from pydantic import Field
 from typing_extensions import Literal
 
 from frigate.detectors.detection_api import DetectionApi
-from frigate.detectors.detector_config import BaseDetectorConfig
+from frigate.detectors.detector_config import BaseDetectorConfig, ModelTypeEnum
 
 try:
     from tflite_runtime.interpreter import Interpreter, load_delegate
 except ModuleNotFoundError:
     from tensorflow.lite.python.interpreter import Interpreter, load_delegate
 
-
 logger = logging.getLogger(__name__)
 
 DETECTOR_KEY = "edgetpu"
@@ -26,6 +27,10 @@ class EdgeTpuDetectorConfig(BaseDetectorConfig):
 
 class EdgeTpuTfl(DetectionApi):
     type_key = DETECTOR_KEY
+    supported_models = [
+        ModelTypeEnum.ssd,
+        ModelTypeEnum.yologeneric,
+    ]
 
     def __init__(self, detector_config: EdgeTpuDetectorConfig):
         device_config = {}
@@ -63,31 +68,294 @@ class EdgeTpuTfl(DetectionApi):
 
         self.tensor_input_details = self.interpreter.get_input_details()
         self.tensor_output_details = self.interpreter.get_output_details()
+        self.model_width = detector_config.model.width
+        self.model_height = detector_config.model.height
+
+        self.min_score = 0.4
+        self.max_detections = 20
+
         self.model_type = detector_config.model.model_type
+        self.model_requires_int8 = self.tensor_input_details[0]["dtype"] == np.int8
+
+        if self.model_type == ModelTypeEnum.yologeneric:
+            logger.debug("Using YOLO preprocessing/postprocessing")
+
+            if len(self.tensor_output_details) not in [2, 3]:
+                logger.error(
+                    f"Invalid count of output tensors in YOLO model. Found {len(self.tensor_output_details)}, expecting 2 or 3."
+                )
+                raise
+
+            self.reg_max = 16  # = 64 dfl_channels // 4 # YOLO standard
+            self.min_logit_value = np.log(
+                self.min_score / (1 - self.min_score)
+            )  # for filtering
+            self._generate_anchors_and_strides()  # decode bounding box DFL
+            self.project = np.arange(
+                self.reg_max, dtype=np.float32
+            )  # for decoding bounding box DFL information
+
+            # Determine YOLO tensor indices and quantization scales for
+            # boxes and class_scores the tensor ordering and names are
+            # not reliable, so use tensor shape to detect which tensor
+            # holds boxes or class scores.
+            # The tensors have shapes (B, N, C)
+            # where N is the number of candidates (=2100 for 320x320)
+            # this may guess wrong if the number of classes is exactly 64
+            output_boxes_index = None
+            output_classes_index = None
+            for i, x in enumerate(self.tensor_output_details):
+                # the nominal index seems to start at 1 instead of 0
+                if len(x["shape"]) == 3 and x["shape"][2] == 64:
+                    output_boxes_index = i
+                elif len(x["shape"]) == 3 and x["shape"][2] > 1:
+                    # require the number of classes to be more than 1
+                    # to differentiate from (not used) max score tensor
+                    output_classes_index = i
+            if output_boxes_index is None or output_classes_index is None:
+                logger.warning("Unrecognized model output, unexpected tensor shapes.")
+                output_classes_index = (
+                    0
+                    if (output_boxes_index is None or output_classes_index == 1)
+                    else 1
+                )  # 0 is default guess
+                output_boxes_index = 1 if (output_boxes_index == 0) else 0
+
+            scores_details = self.tensor_output_details[output_classes_index]
+            self.scores_tensor_index = scores_details["index"]
+            self.scores_scale, self.scores_zero_point = scores_details["quantization"]
+            # calculate the quantized version of the min_score
+            self.min_score_quantized = int(
+                (self.min_logit_value / self.scores_scale) + self.scores_zero_point
+            )
+            self.logit_shift_to_positive_values = (
+                max(0, math.ceil((128 + self.scores_zero_point) * self.scores_scale))
+                + 1
+            )  # round up
+
+            boxes_details = self.tensor_output_details[output_boxes_index]
+            self.boxes_tensor_index = boxes_details["index"]
+            self.boxes_scale, self.boxes_zero_point = boxes_details["quantization"]
+
+        elif self.model_type == ModelTypeEnum.ssd:
+            logger.debug("Using SSD preprocessing/postprocessing")
+
+            # SSD model indices (4 outputs: boxes, class_ids, scores, count)
+            for x in self.tensor_output_details:
+                if len(x["shape"]) == 3:
+                    self.output_boxes_index = x["index"]
+                elif len(x["shape"]) == 1:
+                    self.output_count_index = x["index"]
+
+            self.output_class_ids_index = None
+            self.output_class_scores_index = None
+
+        else:
+            raise Exception(
+                f"{self.model_type} is currently not supported for edgetpu. See the docs for more info on supported models."
+            )
+
+    def _generate_anchors_and_strides(self):
+        # for decoding the bounding box DFL information into xy coordinates
+        all_anchors = []
+        all_strides = []
+        strides = (8, 16, 32)  # YOLO's small, medium, large detection heads
+
+        for stride in strides:
+            feat_h, feat_w = self.model_height // stride, self.model_width // stride
+
+            grid_y, grid_x = np.meshgrid(
+                np.arange(feat_h, dtype=np.float32),
+                np.arange(feat_w, dtype=np.float32),
+                indexing="ij",
+            )
+
+            grid_coords = np.stack((grid_x.flatten(), grid_y.flatten()), axis=1)
+            anchor_points = grid_coords + 0.5
+
+            all_anchors.append(anchor_points)
+            all_strides.append(np.full((feat_h * feat_w, 1), stride, dtype=np.float32))
+
+        self.anchors = np.concatenate(all_anchors, axis=0)
+        self.anchor_strides = np.concatenate(all_strides, axis=0)
+
+    def determine_indexes_for_non_yolo_models(self):
+        """Legacy method for SSD models."""
+        if (
+            self.output_class_ids_index is None
+            or self.output_class_scores_index is None
+        ):
+            for i in range(4):
+                index = self.tensor_output_details[i]["index"]
+                if (
+                    index != self.output_boxes_index
+                    and index != self.output_count_index
+                ):
+                    if (
+                        np.mod(np.float32(self.interpreter.tensor(index)()[0][0]), 1)
+                        == 0.0
+                    ):
+                        self.output_class_ids_index = index
+                    else:
+                        self.output_scores_index = index
+
+    def pre_process(self, tensor_input):
+        if self.model_requires_int8:
+            tensor_input = np.bitwise_xor(tensor_input, 128).view(
+                np.int8
+            )  # shift by -128
+        return tensor_input
 
     def detect_raw(self, tensor_input):
+        tensor_input = self.pre_process(tensor_input)
+
         self.interpreter.set_tensor(self.tensor_input_details[0]["index"], tensor_input)
         self.interpreter.invoke()
 
-        boxes = self.interpreter.tensor(self.tensor_output_details[0]["index"])()[0]
-        class_ids = self.interpreter.tensor(self.tensor_output_details[1]["index"])()[0]
-        scores = self.interpreter.tensor(self.tensor_output_details[2]["index"])()[0]
-        count = int(
-            self.interpreter.tensor(self.tensor_output_details[3]["index"])()[0]
-        )
+        if self.model_type == ModelTypeEnum.yologeneric:
+            # Multi-tensor YOLO model with (non-standard B(H*W)C output format).
+            # (the comments indicate the shape of tensors,
+            # using "2100" as the anchor count (for image size of 320x320),
+            # "NC" as number of classes,
+            # "N" as the count that survive after min-score filtering)
+            # TENSOR A) class scores (1, 2100, NC) with logit values
+            # TENSOR B) box coordinates (1, 2100, 64) encoded as dfl scores
+            # Recommend that the model clamp the logit values in tensor (A)
+            # to the range [-4,+4] to preserve precision from [2%,98%]
+            # and because NMS requires the min_score parameter to be >= 0
 
-        detections = np.zeros((20, 6), np.float32)
+            # don't dequantize scores data yet, wait until the low-confidence
+            # candidates are filtered out from the overall result set.
+            # This reduces the work and makes post-processing faster.
+            # this method works with raw quantized numbers when possible,
+            # which relies on the value of the scale factor to be >0.
+            # This speeds up max and argmax operations.
+            # Get max confidence for each detection and create the mask
+            detections = np.zeros(
+                (self.max_detections, 6), np.float32
+            )  # initialize zero results
+            scores_output_quantized = self.interpreter.get_tensor(
+                self.scores_tensor_index
+            )[0]  # (2100, NC)
+            max_scores_quantized = np.max(scores_output_quantized, axis=1)  # (2100,)
+            mask = max_scores_quantized >= self.min_score_quantized  # (2100,)
 
-        for i in range(count):
-            if scores[i] < 0.4 or i == 20:
-                break
-            detections[i] = [
-                class_ids[i],
-                float(scores[i]),
-                boxes[i][0],
-                boxes[i][1],
-                boxes[i][2],
-                boxes[i][3],
+            if not np.any(mask):
+                return detections  # empty results
+
+            max_scores_filtered_shiftedpositive = (
+                (max_scores_quantized[mask] - self.scores_zero_point)
+                * self.scores_scale
+            ) + self.logit_shift_to_positive_values  # (N,1) shifted logit values
+            scores_output_quantized_filtered = scores_output_quantized[mask]
+
+            # dequantize boxes. NMS needs them to be in float format
+            # remove candidates with probabilities < threshold
+            boxes_output_quantized_filtered = (
+                self.interpreter.get_tensor(self.boxes_tensor_index)[0]
+            )[mask]  # (N, 64)
+            boxes_output_filtered = (
+                boxes_output_quantized_filtered.astype(np.float32)
+                - self.boxes_zero_point
+            ) * self.boxes_scale
+
+            # 2. Decode DFL to distances (ltrb)
+            dfl_distributions = boxes_output_filtered.reshape(
+                -1, 4, self.reg_max
+            )  # (N, 4, 16)
+
+            # Softmax over the 16 bins
+            dfl_max = np.max(dfl_distributions, axis=2, keepdims=True)
+            dfl_exp = np.exp(dfl_distributions - dfl_max)
+            dfl_probs = dfl_exp / np.sum(dfl_exp, axis=2, keepdims=True)  # (N, 4, 16)
+
+            # Weighted sum: (N, 4, 16) * (16,) -> (N, 4)
+            distances = np.einsum("pcr,r->pc", dfl_probs, self.project)
+
+            # Calculate box corners in pixel coordinates
+            anchors_filtered = self.anchors[mask]
+            anchor_strides_filtered = self.anchor_strides[mask]
+            x1y1 = (
+                anchors_filtered - distances[:, [0, 1]]
+            ) * anchor_strides_filtered  # (N, 2)
+            x2y2 = (
+                anchors_filtered + distances[:, [2, 3]]
+            ) * anchor_strides_filtered  # (N, 2)
+            boxes_filtered_decoded = np.concatenate((x1y1, x2y2), axis=-1)  # (N, 4)
+
+            # 9. Apply NMS. Use logit scores here to defer sigmoid()
+            # until after filtering out redundant boxes
+            # Shift the logit scores to be non-negative (required by cv2)
+            indices = cv2.dnn.NMSBoxes(
+                bboxes=boxes_filtered_decoded,
+                scores=max_scores_filtered_shiftedpositive,
+                score_threshold=(
+                    self.min_logit_value + self.logit_shift_to_positive_values
+                ),
+                nms_threshold=0.4,  # should this be a model config setting?
+            )
+            num_detections = len(indices)
+            if num_detections == 0:
+                return detections  # empty results
+
+            nms_indices = np.array(indices, dtype=np.int32).ravel()  # or .flatten()
+            if num_detections > self.max_detections:
+                nms_indices = nms_indices[: self.max_detections]
+                num_detections = self.max_detections
+            kept_logits_quantized = scores_output_quantized_filtered[nms_indices]
+            class_ids_post_nms = np.argmax(kept_logits_quantized, axis=1)
+
+            # Extract the final boxes and scores using fancy indexing
+            final_boxes = boxes_filtered_decoded[nms_indices]
+            final_scores_logits = (
+                max_scores_filtered_shiftedpositive[nms_indices]
+                - self.logit_shift_to_positive_values
+            )  # Unshifted logits
+
+            # Detections array format: [class_id, score, ymin, xmin, ymax, xmax]
+            detections[:num_detections, 0] = class_ids_post_nms
+            detections[:num_detections, 1] = 1.0 / (
+                1.0 + np.exp(-final_scores_logits)
+            )  # sigmoid
+            detections[:num_detections, 2] = final_boxes[:, 1] / self.model_height
+            detections[:num_detections, 3] = final_boxes[:, 0] / self.model_width
+            detections[:num_detections, 4] = final_boxes[:, 3] / self.model_height
+            detections[:num_detections, 5] = final_boxes[:, 2] / self.model_width
+            return detections
+
+        elif self.model_type == ModelTypeEnum.ssd:
+            self.determine_indexes_for_non_yolo_models()
+            boxes = self.interpreter.tensor(self.tensor_output_details[0]["index"])()[0]
+            class_ids = self.interpreter.tensor(
+                self.tensor_output_details[1]["index"]
+            )()[0]
+            scores = self.interpreter.tensor(self.tensor_output_details[2]["index"])()[
+                0
             ]
+            count = int(
+                self.interpreter.tensor(self.tensor_output_details[3]["index"])()[0]
+            )
 
-        return detections
+            detections = np.zeros((self.max_detections, 6), np.float32)
+
+            for i in range(count):
+                if scores[i] < self.min_score:
+                    break
+                if i == self.max_detections:
+                    logger.debug(f"Too many detections ({count})!")
+                    break
+                detections[i] = [
+                    class_ids[i],
+                    float(scores[i]),
+                    boxes[i][0],
+                    boxes[i][1],
+                    boxes[i][2],
+                    boxes[i][3],
+                ]
+
+            return detections
+
+        else:
+            raise Exception(
+                f"{self.model_type} is currently not supported for edgetpu. See the docs for more info on supported models."
+            )
diff --git a/frigate/detectors/plugins/memryx.py b/frigate/detectors/plugins/memryx.py
index 3b424bcc0..a93888f8a 100644
--- a/frigate/detectors/plugins/memryx.py
+++ b/frigate/detectors/plugins/memryx.py
@@ -2,7 +2,6 @@ import glob
 import logging
 import os
 import shutil
-import time
 import urllib.request
 import zipfile
 from queue import Queue
@@ -17,7 +16,7 @@ from frigate.detectors.detector_config import (
     BaseDetectorConfig,
     ModelTypeEnum,
 )
-from frigate.util.model import post_process_yolo
+from frigate.util.file import FileLock
 
 logger = logging.getLogger(__name__)
 
@@ -55,6 +54,9 @@ class MemryXDetector(DetectionApi):
             )
             return
 
+        # Initialize stop_event as None, will be set later by set_stop_event()
+        self.stop_event = None
+
         model_cfg = getattr(detector_config, "model", None)
 
         # Check if model_type was explicitly set by the user
@@ -177,44 +179,14 @@ class MemryXDetector(DetectionApi):
             logger.error(f"Failed to initialize MemryX model: {e}")
             raise
 
-    def _acquire_file_lock(self, lock_path: str, timeout: int = 60, poll: float = 0.2):
-        """
-        Create an exclusive lock file. Blocks (with polling) until it can acquire,
-        or raises TimeoutError. Uses only stdlib (os.O_EXCL).
-        """
-        start = time.time()
-        while True:
-            try:
-                fd = os.open(lock_path, os.O_CREAT | os.O_EXCL | os.O_RDWR)
-                os.close(fd)
-                return
-            except FileExistsError:
-                if time.time() - start > timeout:
-                    raise TimeoutError(f"Timeout waiting for lock: {lock_path}")
-                time.sleep(poll)
-
-    def _release_file_lock(self, lock_path: str):
-        """Best-effort removal of the lock file."""
-        try:
-            os.remove(lock_path)
-        except FileNotFoundError:
-            pass
-
-    def load_yolo_constants(self):
-        base = f"{self.cache_dir}/{self.model_folder}"
-        # constants for yolov9 post-processing
-        self.const_A = np.load(f"{base}/_model_22_Constant_9_output_0.npy")
-        self.const_B = np.load(f"{base}/_model_22_Constant_10_output_0.npy")
-        self.const_C = np.load(f"{base}/_model_22_Constant_12_output_0.npy")
-
     def check_and_prepare_model(self):
         if not os.path.exists(self.cache_dir):
             os.makedirs(self.cache_dir, exist_ok=True)
 
         lock_path = os.path.join(self.cache_dir, f".{self.model_folder}.lock")
-        self._acquire_file_lock(lock_path)
+        lock = FileLock(lock_path, timeout=60)
 
-        try:
+        with lock:
             # ---------- CASE 1: user provided a custom model path ----------
             if self.memx_model_path:
                 if not self.memx_model_path.endswith(".zip"):
@@ -258,7 +230,6 @@ class MemryXDetector(DetectionApi):
 
                 # Handle post model requirements by model type
                 if self.memx_model_type in [
-                    ModelTypeEnum.yologeneric,
                     ModelTypeEnum.yolonas,
                     ModelTypeEnum.ssd,
                 ]:
@@ -267,7 +238,10 @@ class MemryXDetector(DetectionApi):
                             f"No *_post.onnx file found in custom model zip for {self.memx_model_type.name}."
                         )
                     self.memx_post_model = post_candidates[0]
-                elif self.memx_model_type == ModelTypeEnum.yolox:
+                elif self.memx_model_type in [
+                    ModelTypeEnum.yolox,
+                    ModelTypeEnum.yologeneric,
+                ]:
                     # Explicitly ignore any post model even if present
                     self.memx_post_model = None
                 else:
@@ -295,8 +269,6 @@ class MemryXDetector(DetectionApi):
                 logger.info("Using cached models.")
                 self.memx_model_path = dfp_path
                 self.memx_post_model = post_path
-                if self.memx_model_type == ModelTypeEnum.yologeneric:
-                    self.load_yolo_constants()
                 return
 
             # ---------- CASE 3: download MemryX model (no cache) ----------
@@ -325,9 +297,6 @@ class MemryXDetector(DetectionApi):
                     else None
                 )
 
-                if self.memx_model_type == ModelTypeEnum.yologeneric:
-                    self.load_yolo_constants()
-
             finally:
                 if os.path.exists(zip_path):
                     try:
@@ -338,9 +307,6 @@ class MemryXDetector(DetectionApi):
                             f"Failed to remove downloaded zip {zip_path}: {e}"
                         )
 
-        finally:
-            self._release_file_lock(lock_path)
-
     def send_input(self, connection_id, tensor_input: np.ndarray):
         """Pre-process (if needed) and send frame to MemryX input queue"""
         if tensor_input is None:
@@ -399,26 +365,43 @@ class MemryXDetector(DetectionApi):
     def process_input(self):
         """Input callback function: wait for frames in the input queue, preprocess, and send to MX3 (return)"""
         while True:
+            # Check if shutdown is requested
+            if self.stop_event and self.stop_event.is_set():
+                logger.debug("[process_input] Stop event detected, returning None")
+                return None
             try:
-                # Wait for a frame from the queue (blocking call)
-                frame = self.capture_queue.get(
-                    block=True
-                )  # Blocks until data is available
+                # Wait for a frame from the queue with timeout to check stop_event periodically
+                frame = self.capture_queue.get(block=True, timeout=0.5)
 
                 return frame
 
             except Exception as e:
-                logger.info(f"[process_input] Error processing input: {e}")
-                time.sleep(0.1)  # Prevent busy waiting in case of error
+                # Silently handle queue.Empty timeouts (expected during normal operation)
+                # Log any other unexpected exceptions
+                if "Empty" not in str(type(e).__name__):
+                    logger.warning(f"[process_input] Unexpected error: {e}")
+                # Loop continues and will check stop_event at the top
 
     def receive_output(self):
         """Retrieve processed results from MemryX output queue + a copy of the original frame"""
-        connection_id = (
-            self.capture_id_queue.get()
-        )  # Get the corresponding connection ID
-        detections = self.output_queue.get()  # Get detections from MemryX
+        try:
+            # Get connection ID with timeout
+            connection_id = self.capture_id_queue.get(
+                block=True, timeout=1.0
+            )  # Get the corresponding connection ID
+            detections = self.output_queue.get()  # Get detections from MemryX
 
-        return connection_id, detections
+            return connection_id, detections
+
+        except Exception as e:
+            # On timeout or stop event, return None
+            if self.stop_event and self.stop_event.is_set():
+                logger.debug("[receive_output] Stop event detected, exiting")
+            # Silently handle queue.Empty timeouts, they're expected during normal operation
+            elif "Empty" not in str(type(e).__name__):
+                logger.warning(f"[receive_output] Error receiving output: {e}")
+
+            return None, None
 
     def post_process_yolonas(self, output):
         predictions = output[0]
@@ -625,127 +608,232 @@ class MemryXDetector(DetectionApi):
 
         self.output_queue.put(final_detections)
 
-    def onnx_reshape_with_allowzero(
-        self, data: np.ndarray, shape: np.ndarray, allowzero: int = 0
+    def _generate_anchors(self, sizes=[80, 40, 20]):
+        """Generate anchor points for YOLOv9 style processing"""
+        yscales = []
+        xscales = []
+        for s in sizes:
+            r = np.arange(s) + 0.5
+            yscales.append(np.repeat(r, s))
+            xscales.append(np.repeat(r[None, ...], s, axis=0).flatten())
+
+        yscales = np.concatenate(yscales)
+        xscales = np.concatenate(xscales)
+        anchors = np.stack([xscales, yscales], axis=1)
+        return anchors
+
+    def _generate_scales(self, sizes=[80, 40, 20]):
+        """Generate scaling factors for each detection level"""
+        factors = [8, 16, 32]
+        s = np.concatenate([np.ones([int(s * s)]) * f for s, f in zip(sizes, factors)])
+        return s[:, None]
+
+    @staticmethod
+    def _softmax(x: np.ndarray, axis: int) -> np.ndarray:
+        """Efficient softmax implementation"""
+        x = x - np.max(x, axis=axis, keepdims=True)
+        np.exp(x, out=x)
+        x /= np.sum(x, axis=axis, keepdims=True)
+        return x
+
+    def dfl(self, x: np.ndarray) -> np.ndarray:
+        """Distribution Focal Loss decoding - YOLOv9 style"""
+        x = x.reshape(-1, 4, 16)
+        weights = np.arange(16, dtype=np.float32)
+        p = self._softmax(x, axis=2)
+        p = p * weights[None, None, :]
+        out = np.sum(p, axis=2, keepdims=False)
+        return out
+
+    def dist2bbox(
+        self, x: np.ndarray, anchors: np.ndarray, scales: np.ndarray
     ) -> np.ndarray:
-        shape = shape.astype(int)
-        input_shape = data.shape
-        output_shape = []
+        """Convert distances to bounding boxes - YOLOv9 style"""
+        lt = x[:, :2]
+        rb = x[:, 2:]
 
-        for i, dim in enumerate(shape):
-            if dim == 0 and allowzero == 0:
-                output_shape.append(input_shape[i])  # Copy dimension from input
-            else:
-                output_shape.append(dim)
+        x1y1 = anchors - lt
+        x2y2 = anchors + rb
 
-        # Now let NumPy infer any -1 if needed
-        reshaped = np.reshape(data, output_shape)
+        wh = x2y2 - x1y1
+        c_xy = (x1y1 + x2y2) / 2
 
-        return reshaped
+        out = np.concatenate([c_xy, wh], axis=1)
+        out = out * scales
+        return out
+
+    def post_process_yolo_optimized(self, outputs):
+        """
+        Custom YOLOv9 post-processing optimized for MemryX ONNX outputs.
+        Implements DFL decoding, confidence filtering, and NMS in pure NumPy.
+        """
+        # YOLOv9 outputs: 6 outputs (lbox, lcls, mbox, mcls, sbox, scls)
+        conv_out1, conv_out2, conv_out3, conv_out4, conv_out5, conv_out6 = outputs
+
+        # Determine grid sizes based on input resolution
+        # YOLOv9 uses 3 detection heads with strides [8, 16, 32]
+        # Grid sizes = input_size / stride
+        sizes = [
+            self.memx_model_height
+            // 8,  # Large objects (e.g., 80 for 640x640, 40 for 320x320)
+            self.memx_model_height
+            // 16,  # Medium objects (e.g., 40 for 640x640, 20 for 320x320)
+            self.memx_model_height
+            // 32,  # Small objects (e.g., 20 for 640x640, 10 for 320x320)
+        ]
+
+        # Generate anchors and scales if not already done
+        if not hasattr(self, "anchors"):
+            self.anchors = self._generate_anchors(sizes)
+            self.scales = self._generate_scales(sizes)
+
+        # Process outputs in YOLOv9 format: reshape and moveaxis for ONNX format
+        lbox = np.moveaxis(conv_out1, 1, -1)  # Large boxes
+        lcls = np.moveaxis(conv_out2, 1, -1)  # Large classes
+        mbox = np.moveaxis(conv_out3, 1, -1)  # Medium boxes
+        mcls = np.moveaxis(conv_out4, 1, -1)  # Medium classes
+        sbox = np.moveaxis(conv_out5, 1, -1)  # Small boxes
+        scls = np.moveaxis(conv_out6, 1, -1)  # Small classes
+
+        # Determine number of classes dynamically from the class output shape
+        # lcls shape should be (batch, height, width, num_classes)
+        num_classes = lcls.shape[-1]
+
+        # Validate that all class outputs have the same number of classes
+        if not (mcls.shape[-1] == num_classes and scls.shape[-1] == num_classes):
+            raise ValueError(
+                f"Class output shapes mismatch: lcls={lcls.shape}, mcls={mcls.shape}, scls={scls.shape}"
+            )
+
+        # Concatenate boxes and classes
+        boxes = np.concatenate(
+            [
+                lbox.reshape(-1, 64),  # 64 is for 4 bbox coords * 16 DFL bins
+                mbox.reshape(-1, 64),
+                sbox.reshape(-1, 64),
+            ],
+            axis=0,
+        )
+
+        classes = np.concatenate(
+            [
+                lcls.reshape(-1, num_classes),
+                mcls.reshape(-1, num_classes),
+                scls.reshape(-1, num_classes),
+            ],
+            axis=0,
+        )
+
+        # Apply sigmoid to classes
+        classes = self.sigmoid(classes)
+
+        # Apply DFL to box predictions
+        boxes = self.dfl(boxes)
+
+        # YOLOv9 postprocessing with confidence filtering and NMS
+        confidence_thres = 0.4
+        iou_thres = 0.6
+
+        # Find the class with the highest score for each detection
+        max_scores = np.max(classes, axis=1)  # Maximum class score for each detection
+        class_ids = np.argmax(classes, axis=1)  # Index of the best class
+
+        # Filter out detections with scores below the confidence threshold
+        valid_indices = np.where(max_scores >= confidence_thres)[0]
+        if len(valid_indices) == 0:
+            # Return empty detections array
+            final_detections = np.zeros((20, 6), np.float32)
+            return final_detections
+
+        # Select only valid detections
+        valid_boxes = boxes[valid_indices]
+        valid_class_ids = class_ids[valid_indices]
+        valid_scores = max_scores[valid_indices]
+
+        # Convert distances to actual bounding boxes using anchors and scales
+        valid_boxes = self.dist2bbox(
+            valid_boxes, self.anchors[valid_indices], self.scales[valid_indices]
+        )
+
+        # Convert bounding box coordinates from (x_center, y_center, w, h) to (x_min, y_min, x_max, y_max)
+        x_center, y_center, width, height = (
+            valid_boxes[:, 0],
+            valid_boxes[:, 1],
+            valid_boxes[:, 2],
+            valid_boxes[:, 3],
+        )
+        x_min = x_center - width / 2
+        y_min = y_center - height / 2
+        x_max = x_center + width / 2
+        y_max = y_center + height / 2
+
+        # Convert to format expected by cv2.dnn.NMSBoxes: [x, y, width, height]
+        boxes_for_nms = []
+        scores_for_nms = []
+
+        for i in range(len(valid_indices)):
+            # Ensure coordinates are within bounds and positive
+            x_min_clipped = max(0, x_min[i])
+            y_min_clipped = max(0, y_min[i])
+            x_max_clipped = min(self.memx_model_width, x_max[i])
+            y_max_clipped = min(self.memx_model_height, y_max[i])
+
+            width_clipped = x_max_clipped - x_min_clipped
+            height_clipped = y_max_clipped - y_min_clipped
+
+            if width_clipped > 0 and height_clipped > 0:
+                boxes_for_nms.append(
+                    [x_min_clipped, y_min_clipped, width_clipped, height_clipped]
+                )
+                scores_for_nms.append(float(valid_scores[i]))
+
+        final_detections = np.zeros((20, 6), np.float32)
+
+        if len(boxes_for_nms) == 0:
+            return final_detections
+
+        # Apply NMS using OpenCV
+        indices = cv2.dnn.NMSBoxes(
+            boxes_for_nms, scores_for_nms, confidence_thres, iou_thres
+        )
+
+        if len(indices) > 0:
+            # Flatten indices if they are returned as a list of arrays
+            if isinstance(indices[0], list) or isinstance(indices[0], np.ndarray):
+                indices = [i[0] for i in indices]
+
+            # Limit to top 20 detections
+            indices = indices[:20]
+
+            # Convert to Frigate format: [class_id, confidence, y_min, x_min, y_max, x_max] (normalized)
+            for i, idx in enumerate(indices):
+                class_id = valid_class_ids[idx]
+                confidence = valid_scores[idx]
+
+                # Get the box coordinates
+                box = boxes_for_nms[idx]
+                x_min_norm = box[0] / self.memx_model_width
+                y_min_norm = box[1] / self.memx_model_height
+                x_max_norm = (box[0] + box[2]) / self.memx_model_width
+                y_max_norm = (box[1] + box[3]) / self.memx_model_height
+
+                final_detections[i] = [
+                    class_id,
+                    confidence,
+                    y_min_norm,  # Frigate expects y_min first
+                    x_min_norm,
+                    y_max_norm,
+                    x_max_norm,
+                ]
+
+        return final_detections
 
     def process_output(self, *outputs):
         """Output callback function -- receives frames from the MX3 and triggers post-processing"""
         if self.memx_model_type == ModelTypeEnum.yologeneric:
-            if not self.memx_post_model:
-                conv_out1 = outputs[0]
-                conv_out2 = outputs[1]
-                conv_out3 = outputs[2]
-                conv_out4 = outputs[3]
-                conv_out5 = outputs[4]
-                conv_out6 = outputs[5]
+            # Use complete YOLOv9-style postprocessing (includes NMS)
+            final_detections = self.post_process_yolo_optimized(outputs)
 
-                concat_1 = self.onnx_concat([conv_out1, conv_out2], axis=1)
-                concat_2 = self.onnx_concat([conv_out3, conv_out4], axis=1)
-                concat_3 = self.onnx_concat([conv_out5, conv_out6], axis=1)
-
-                shape = np.array([1, 144, -1], dtype=np.int64)
-
-                reshaped_1 = self.onnx_reshape_with_allowzero(
-                    concat_1, shape, allowzero=0
-                )
-                reshaped_2 = self.onnx_reshape_with_allowzero(
-                    concat_2, shape, allowzero=0
-                )
-                reshaped_3 = self.onnx_reshape_with_allowzero(
-                    concat_3, shape, allowzero=0
-                )
-
-                concat_4 = self.onnx_concat([reshaped_1, reshaped_2, reshaped_3], 2)
-
-                axis = 1
-                split_sizes = [64, 80]
-
-                # Calculate indices at which to split
-                indices = np.cumsum(split_sizes)[
-                    :-1
-                ]  # [64] — split before the second chunk
-
-                # Perform split along axis 1
-                split_0, split_1 = np.split(concat_4, indices, axis=axis)
-
-                num_boxes = 2100 if self.memx_model_height == 320 else 8400
-                shape1 = np.array([1, 4, 16, num_boxes])
-                reshape_4 = self.onnx_reshape_with_allowzero(
-                    split_0, shape1, allowzero=0
-                )
-
-                transpose_1 = reshape_4.transpose(0, 2, 1, 3)
-
-                axis = 1  # As per ONNX softmax node
-
-                # Subtract max for numerical stability
-                x_max = np.max(transpose_1, axis=axis, keepdims=True)
-                x_exp = np.exp(transpose_1 - x_max)
-                x_sum = np.sum(x_exp, axis=axis, keepdims=True)
-                softmax_output = x_exp / x_sum
-
-                # Weight W from the ONNX initializer (1, 16, 1, 1) with values 0 to 15
-                W = np.arange(16, dtype=np.float32).reshape(
-                    1, 16, 1, 1
-                )  # (1, 16, 1, 1)
-
-                # Apply 1x1 convolution: this is a weighted sum over channels
-                conv_output = np.sum(
-                    softmax_output * W, axis=1, keepdims=True
-                )  # shape: (1, 1, 4, 8400)
-
-                shape2 = np.array([1, 4, num_boxes])
-                reshape_5 = self.onnx_reshape_with_allowzero(
-                    conv_output, shape2, allowzero=0
-                )
-
-                # ONNX Slice — get first 2 channels: [0:2] along axis 1
-                slice_output1 = reshape_5[:, 0:2, :]  # Result: (1, 2, 8400)
-
-                # Slice channels 2 to 4 → axis = 1
-                slice_output2 = reshape_5[:, 2:4, :]
-
-                # Perform Subtraction
-                sub_output = self.const_A - slice_output1  # Equivalent to ONNX Sub
-
-                # Perform the ONNX-style Add
-                add_output = self.const_B + slice_output2
-
-                sub1 = add_output - sub_output
-
-                add1 = sub_output + add_output
-
-                div_output = add1 / 2.0
-
-                concat_5 = self.onnx_concat([div_output, sub1], axis=1)
-
-                # Expand B to (1, 1, 8400) so it can broadcast across axis=1 (4 channels)
-                const_C_expanded = self.const_C[:, np.newaxis, :]  # Shape: (1, 1, 8400)
-
-                # Perform ONNX-style element-wise multiplication
-                mul_output = concat_5 * const_C_expanded  # Result: (1, 4, 8400)
-
-                sigmoid_output = self.sigmoid(split_1)
-                outputs = self.onnx_concat([mul_output, sigmoid_output], axis=1)
-
-            final_detections = post_process_yolo(
-                outputs, self.memx_model_width, self.memx_model_height
-            )
             self.output_queue.put(final_detections)
 
         elif self.memx_model_type == ModelTypeEnum.yolonas:
@@ -762,6 +850,19 @@ class MemryXDetector(DetectionApi):
                 f"{self.memx_model_type} is currently not supported for memryx. See the docs for more info on supported models."
             )
 
+    def set_stop_event(self, stop_event):
+        """Set the stop event for graceful shutdown."""
+        self.stop_event = stop_event
+
+    def shutdown(self):
+        """Gracefully shutdown the MemryX accelerator"""
+        try:
+            if hasattr(self, "accl") and self.accl is not None:
+                self.accl.shutdown()
+                logger.info("MemryX accelerator shutdown complete")
+        except Exception as e:
+            logger.error(f"Error during MemryX shutdown: {e}")
+
     def detect_raw(self, tensor_input: np.ndarray):
         """Removed synchronous detect_raw() function so that we only use async"""
         return 0
diff --git a/frigate/detectors/plugins/rknn.py b/frigate/detectors/plugins/rknn.py
index 4cef1c0ce..3f350e2ef 100644
--- a/frigate/detectors/plugins/rknn.py
+++ b/frigate/detectors/plugins/rknn.py
@@ -8,7 +8,7 @@ import cv2
 import numpy as np
 from pydantic import Field
 
-from frigate.const import MODEL_CACHE_DIR
+from frigate.const import MODEL_CACHE_DIR, SUPPORTED_RK_SOCS
 from frigate.detectors.detection_api import DetectionApi
 from frigate.detectors.detection_runners import RKNNModelRunner
 from frigate.detectors.detector_config import BaseDetectorConfig, ModelTypeEnum
@@ -82,9 +82,9 @@ class Rknn(DetectionApi):
         except FileNotFoundError:
             raise Exception("Make sure to run docker in privileged mode.")
 
-        if soc not in supported_socs:
+        if soc not in SUPPORTED_RK_SOCS:
             raise Exception(
-                f"Your SoC is not supported. Your SoC is: {soc}. Currently these SoCs are supported: {supported_socs}."
+                f"Your SoC is not supported. Your SoC is: {soc}. Currently these SoCs are supported: {SUPPORTED_RK_SOCS}."
             )
 
         return soc
diff --git a/frigate/embeddings/embeddings.py b/frigate/embeddings/embeddings.py
index 788e3e6db..8d7bcd235 100644
--- a/frigate/embeddings/embeddings.py
+++ b/frigate/embeddings/embeddings.py
@@ -12,9 +12,6 @@ from peewee import DoesNotExist, IntegrityError
 from PIL import Image
 from playhouse.shortcuts import model_to_dict
 
-from frigate.comms.embeddings_updater import (
-    EmbeddingsRequestEnum,
-)
 from frigate.comms.inter_process import InterProcessRequestor
 from frigate.config import FrigateConfig
 from frigate.config.classification import SemanticSearchModelEnum
@@ -29,7 +26,7 @@ from frigate.db.sqlitevecq import SqliteVecQueueDatabase
 from frigate.models import Event, Trigger
 from frigate.types import ModelStatusTypesEnum
 from frigate.util.builtin import EventsPerSecond, InferenceSpeed, serialize
-from frigate.util.path import get_event_thumbnail_bytes
+from frigate.util.file import get_event_thumbnail_bytes
 
 from .onnx.jina_v1_embedding import JinaV1ImageEmbedding, JinaV1TextEmbedding
 from .onnx.jina_v2_embedding import JinaV2Embedding
@@ -472,7 +469,7 @@ class Embeddings:
                                 )
                                 thumbnail_missing = True
                         except DoesNotExist:
-                            logger.warning(
+                            logger.debug(
                                 f"Event ID {trigger.data} for trigger {trigger_name} does not exist."
                             )
                             continue
@@ -495,44 +492,49 @@ class Embeddings:
                         or thumbnail_missing
                     ):
                         existing_trigger.embedding = self._calculate_trigger_embedding(
-                            trigger
+                            trigger, trigger_name, camera.name
                         )
                         needs_embedding_update = True
 
                     if needs_embedding_update:
                         existing_trigger.save()
+                    continue
                 else:
                     # Create new trigger
                     try:
-                        try:
-                            event: Event = Event.get(Event.id == trigger.data)
-                        except DoesNotExist:
-                            logger.warning(
-                                f"Event ID {trigger.data} for trigger {trigger_name} does not exist."
+                        # For thumbnail triggers, validate the event exists
+                        if trigger.type == "thumbnail":
+                            try:
+                                event: Event = Event.get(Event.id == trigger.data)
+                            except DoesNotExist:
+                                logger.warning(
+                                    f"Event ID {trigger.data} for trigger {trigger_name} does not exist."
+                                )
+                                continue
+
+                            # Skip the event if not an object
+                            if event.data.get("type") != "object":
+                                logger.warning(
+                                    f"Event ID {trigger.data} for trigger {trigger_name} is not a tracked object."
+                                )
+                                continue
+
+                            thumbnail = get_event_thumbnail_bytes(event)
+
+                            if not thumbnail:
+                                logger.warning(
+                                    f"Unable to retrieve thumbnail for event ID {trigger.data} for {trigger_name}."
+                                )
+                                continue
+
+                            self.write_trigger_thumbnail(
+                                camera.name, trigger.data, thumbnail
                             )
-                            continue
-
-                        # Skip the event if not an object
-                        if event.data.get("type") != "object":
-                            logger.warning(
-                                f"Event ID {trigger.data} for trigger {trigger_name} is not a tracked object."
-                            )
-                            continue
-
-                        thumbnail = get_event_thumbnail_bytes(event)
-
-                        if not thumbnail:
-                            logger.warning(
-                                f"Unable to retrieve thumbnail for event ID {trigger.data} for {trigger_name}."
-                            )
-                            continue
-
-                        self.write_trigger_thumbnail(
-                            camera.name, trigger.data, thumbnail
-                        )
 
                         # Calculate embedding for new trigger
-                        embedding = self._calculate_trigger_embedding(trigger)
+                        embedding = self._calculate_trigger_embedding(
+                            trigger, trigger_name, camera.name
+                        )
 
                         Trigger.create(
                             camera=camera.name,
@@ -558,7 +560,11 @@ class Embeddings:
                     Trigger.camera == camera.name, Trigger.name.in_(triggers_to_remove)
                 ).execute()
                 for trigger_name in triggers_to_remove:
-                    self.remove_trigger_thumbnail(camera.name, trigger_name)
+                    # Only remove thumbnail files for thumbnail triggers
+                    if existing_triggers[trigger_name].type == "thumbnail":
+                        self.remove_trigger_thumbnail(
+                            camera.name, existing_triggers[trigger_name].data
+                        )
 
     def write_trigger_thumbnail(
         self, camera: str, event_id: str, thumbnail: bytes
@@ -588,14 +594,13 @@ class Embeddings:
                 f"Failed to delete thumbnail for trigger with data {event_id} in {camera}: {e}"
             )
 
-    def _calculate_trigger_embedding(self, trigger) -> bytes:
+    def _calculate_trigger_embedding(
+        self, trigger, trigger_name: str, camera_name: str
+    ) -> bytes:
         """Calculate embedding for a trigger based on its type and data."""
         if trigger.type == "description":
-            logger.debug(f"Generating embedding for trigger description {trigger.name}")
-            embedding = self.requestor.send_data(
-                EmbeddingsRequestEnum.embed_description.value,
-                {"id": None, "description": trigger.data, "upsert": False},
-            )
+            logger.debug(f"Generating embedding for trigger description {trigger_name}")
+            embedding = self.embed_description(None, trigger.data, upsert=False)
             return embedding.astype(np.float32).tobytes()
 
         elif trigger.type == "thumbnail":
@@ -615,28 +620,21 @@ class Embeddings:
 
                 try:
                     with open(
-                        os.path.join(
-                            TRIGGER_DIR, trigger.camera, f"{trigger.data}.webp"
-                        ),
+                        os.path.join(TRIGGER_DIR, camera_name, f"{trigger.data}.webp"),
                         "rb",
                     ) as f:
                         thumbnail = f.read()
                 except Exception as e:
                     logger.error(
-                        f"Failed to read thumbnail for trigger {trigger.name} with ID {trigger.data}: {e}"
+                        f"Failed to read thumbnail for trigger {trigger_name} with ID {trigger.data}: {e}"
                     )
                     return b""
 
                 logger.debug(
-                    f"Generating embedding for trigger thumbnail {trigger.name} with ID {trigger.data}"
+                    f"Generating embedding for trigger thumbnail {trigger_name} with ID {trigger.data}"
                 )
-                embedding = self.requestor.send_data(
-                    EmbeddingsRequestEnum.embed_thumbnail.value,
-                    {
-                        "id": str(trigger.data),
-                        "thumbnail": str(thumbnail),
-                        "upsert": False,
-                    },
+                embedding = self.embed_thumbnail(
+                    str(trigger.data), thumbnail, upsert=False
                 )
                 return embedding.astype(np.float32).tobytes()
 
diff --git a/frigate/embeddings/maintainer.py b/frigate/embeddings/maintainer.py
index 55e3d57ba..1a0950cbb 100644
--- a/frigate/embeddings/maintainer.py
+++ b/frigate/embeddings/maintainer.py
@@ -9,6 +9,7 @@ from typing import Any
 
 from peewee import DoesNotExist
 
+from frigate.comms.config_updater import ConfigSubscriber
 from frigate.comms.detections_updater import DetectionSubscriber, DetectionTypeEnum
 from frigate.comms.embeddings_updater import (
     EmbeddingsRequestEnum,
@@ -61,8 +62,8 @@ from frigate.events.types import EventTypeEnum, RegenerateDescriptionEnum
 from frigate.genai import get_genai_client
 from frigate.models import Event, Recordings, ReviewSegment, Trigger
 from frigate.util.builtin import serialize
+from frigate.util.file import get_event_thumbnail_bytes
 from frigate.util.image import SharedMemoryFrameManager
-from frigate.util.path import get_event_thumbnail_bytes
 
 from .embeddings import Embeddings
 
@@ -95,6 +96,9 @@ class EmbeddingMaintainer(threading.Thread):
                 CameraConfigUpdateEnum.semantic_search,
             ],
         )
+        self.classification_config_subscriber = ConfigSubscriber(
+            "config/classification/custom/"
+        )
 
         # Configure Frigate DB
         db = SqliteVecQueueDatabase(
@@ -154,11 +158,13 @@ class EmbeddingMaintainer(threading.Thread):
         self.realtime_processors: list[RealTimeProcessorApi] = []
 
         if self.config.face_recognition.enabled:
+            logger.debug("Face recognition enabled, initializing FaceRealTimeProcessor")
             self.realtime_processors.append(
                 FaceRealTimeProcessor(
                     self.config, self.requestor, self.event_metadata_publisher, metrics
                 )
             )
+            logger.debug("FaceRealTimeProcessor initialized successfully")
 
         if self.config.classification.bird.enabled:
             self.realtime_processors.append(
@@ -189,6 +195,7 @@ class EmbeddingMaintainer(threading.Thread):
                     self.config,
                     model_config,
                     self.event_metadata_publisher,
+                    self.requestor,
                     self.metrics,
                 )
             )
@@ -196,7 +203,9 @@ class EmbeddingMaintainer(threading.Thread):
         # post processors
         self.post_processors: list[PostProcessorApi] = []
 
-        if any(c.review.genai.enabled_in_config for c in self.config.cameras.values()):
+        if self.genai_client is not None and any(
+            c.review.genai.enabled_in_config for c in self.config.cameras.values()
+        ):
             self.post_processors.append(
                 ReviewDescriptionProcessor(
                     self.config, self.requestor, self.metrics, self.genai_client
@@ -220,7 +229,9 @@ class EmbeddingMaintainer(threading.Thread):
             for c in self.config.cameras.values()
         ):
             self.post_processors.append(
-                AudioTranscriptionPostProcessor(self.config, self.requestor, metrics)
+                AudioTranscriptionPostProcessor(
+                    self.config, self.requestor, self.embeddings, metrics
+                )
             )
 
         semantic_trigger_processor: SemanticTriggerProcessor | None = None
@@ -229,12 +240,15 @@ class EmbeddingMaintainer(threading.Thread):
                 db,
                 self.config,
                 self.requestor,
+                self.event_metadata_publisher,
                 metrics,
                 self.embeddings,
             )
             self.post_processors.append(semantic_trigger_processor)
 
-        if any(c.objects.genai.enabled_in_config for c in self.config.cameras.values()):
+        if self.genai_client is not None and any(
+            c.objects.genai.enabled_in_config for c in self.config.cameras.values()
+        ):
             self.post_processors.append(
                 ObjectDescriptionProcessor(
                     self.config,
@@ -255,6 +269,7 @@ class EmbeddingMaintainer(threading.Thread):
         """Maintain a SQLite-vec database for semantic search."""
         while not self.stop_event.is_set():
             self.config_updater.check_for_updates()
+            self._check_classification_config_updates()
             self._process_requests()
             self._process_updates()
             self._process_recordings_updates()
@@ -265,6 +280,7 @@ class EmbeddingMaintainer(threading.Thread):
             self._process_event_metadata()
 
         self.config_updater.stop()
+        self.classification_config_subscriber.stop()
         self.event_subscriber.stop()
         self.event_end_subscriber.stop()
         self.recordings_subscriber.stop()
@@ -275,6 +291,68 @@ class EmbeddingMaintainer(threading.Thread):
         self.requestor.stop()
         logger.info("Exiting embeddings maintenance...")
 
+    def _check_classification_config_updates(self) -> None:
+        """Check for classification config updates and add/remove processors."""
+        topic, model_config = self.classification_config_subscriber.check_for_update()
+
+        if topic:
+            model_name = topic.split("/")[-1]
+
+            if model_config is None:
+                self.realtime_processors = [
+                    processor
+                    for processor in self.realtime_processors
+                    if not (
+                        isinstance(
+                            processor,
+                            (
+                                CustomStateClassificationProcessor,
+                                CustomObjectClassificationProcessor,
+                            ),
+                        )
+                        and processor.model_config.name == model_name
+                    )
+                ]
+
+                logger.info(
+                    f"Successfully removed classification processor for model: {model_name}"
+                )
+            else:
+                self.config.classification.custom[model_name] = model_config
+
+                # Check if processor already exists
+                for processor in self.realtime_processors:
+                    if isinstance(
+                        processor,
+                        (
+                            CustomStateClassificationProcessor,
+                            CustomObjectClassificationProcessor,
+                        ),
+                    ):
+                        if processor.model_config.name == model_name:
+                            logger.debug(
+                                f"Classification processor for model {model_name} already exists, skipping"
+                            )
+                            return
+
+                if model_config.state_config is not None:
+                    processor = CustomStateClassificationProcessor(
+                        self.config, model_config, self.requestor, self.metrics
+                    )
+                else:
+                    processor = CustomObjectClassificationProcessor(
+                        self.config,
+                        model_config,
+                        self.event_metadata_publisher,
+                        self.requestor,
+                        self.metrics,
+                    )
+
+                self.realtime_processors.append(processor)
+                logger.info(
+                    f"Added classification processor for model: {model_name} (type: {type(processor).__name__})"
+                )
+
     def _process_requests(self) -> None:
         """Process embeddings requests"""
 
@@ -327,7 +405,14 @@ class EmbeddingMaintainer(threading.Thread):
 
         source_type, _, camera, frame_name, data = update
 
+        logger.debug(
+            f"Received update - source_type: {source_type}, camera: {camera}, data label: {data.get('label') if data else 'None'}"
+        )
+
         if not camera or source_type != EventTypeEnum.tracked_object:
+            logger.debug(
+                f"Skipping update - camera: {camera}, source_type: {source_type}"
+            )
             return
 
         if self.config.semantic_search.enabled:
@@ -337,6 +422,9 @@ class EmbeddingMaintainer(threading.Thread):
 
         # no need to process updated objects if no processors are active
         if len(self.realtime_processors) == 0 and len(self.post_processors) == 0:
+            logger.debug(
+                f"No processors active - realtime: {len(self.realtime_processors)}, post: {len(self.post_processors)}"
+            )
             return
 
         # Create our own thumbnail based on the bounding box and the frame time
@@ -345,6 +433,7 @@ class EmbeddingMaintainer(threading.Thread):
                 frame_name, camera_config.frame_shape_yuv
             )
         except FileNotFoundError:
+            logger.debug(f"Frame {frame_name} not found for camera {camera}")
             pass
 
         if yuv_frame is None:
@@ -353,7 +442,11 @@ class EmbeddingMaintainer(threading.Thread):
             )
             return
 
+        logger.debug(
+            f"Processing {len(self.realtime_processors)} realtime processors for object {data.get('id')} (label: {data.get('label')})"
+        )
         for processor in self.realtime_processors:
+            logger.debug(f"Calling process_frame on {processor.__class__.__name__}")
             processor.process_frame(data, yuv_frame)
 
         for processor in self.post_processors:
@@ -433,6 +526,8 @@ class EmbeddingMaintainer(threading.Thread):
                     )
                 elif isinstance(processor, ObjectDescriptionProcessor):
                     if not updated_db:
+                        # Still need to cleanup tracked events even if not processing
+                        processor.cleanup_event(event_id)
                         continue
 
                     processor.process_data(
@@ -538,7 +633,7 @@ class EmbeddingMaintainer(threading.Thread):
 
         camera, frame_name, _, _, motion_boxes, _ = data
 
-        if not camera or len(motion_boxes) == 0:
+        if not camera or len(motion_boxes) == 0 or camera not in self.config.cameras:
             return
 
         camera_config = self.config.cameras[camera]
diff --git a/frigate/embeddings/onnx/face_embedding.py b/frigate/embeddings/onnx/face_embedding.py
index e661f8d37..04d756897 100644
--- a/frigate/embeddings/onnx/face_embedding.py
+++ b/frigate/embeddings/onnx/face_embedding.py
@@ -8,7 +8,7 @@ import numpy as np
 from frigate.const import MODEL_CACHE_DIR
 from frigate.detectors.detection_runners import get_optimized_runner
 from frigate.embeddings.types import EnrichmentModelTypeEnum
-from frigate.log import redirect_output_to_logger
+from frigate.log import suppress_stderr_during
 from frigate.util.downloader import ModelDownloader
 
 from ...config import FaceRecognitionConfig
@@ -57,17 +57,18 @@ class FaceNetEmbedding(BaseEmbedding):
             self._load_model_and_utils()
             logger.debug(f"models are already downloaded for {self.model_name}")
 
-    @redirect_output_to_logger(logger, logging.DEBUG)
     def _load_model_and_utils(self):
         if self.runner is None:
             if self.downloader:
                 self.downloader.wait_for_download()
 
-            self.runner = Interpreter(
-                model_path=os.path.join(MODEL_CACHE_DIR, "facedet/facenet.tflite"),
-                num_threads=2,
-            )
-            self.runner.allocate_tensors()
+            # Suppress TFLite delegate creation messages that bypass Python logging
+            with suppress_stderr_during("tflite_interpreter_init"):
+                self.runner = Interpreter(
+                    model_path=os.path.join(MODEL_CACHE_DIR, "facedet/facenet.tflite"),
+                    num_threads=2,
+                )
+                self.runner.allocate_tensors()
             self.tensor_input_details = self.runner.get_input_details()
             self.tensor_output_details = self.runner.get_output_details()
 
diff --git a/frigate/embeddings/onnx/jina_v1_embedding.py b/frigate/embeddings/onnx/jina_v1_embedding.py
index e64d8da39..5e3ee7f3b 100644
--- a/frigate/embeddings/onnx/jina_v1_embedding.py
+++ b/frigate/embeddings/onnx/jina_v1_embedding.py
@@ -2,6 +2,7 @@
 
 import logging
 import os
+import threading
 import warnings
 
 from transformers import AutoFeatureExtractor, AutoTokenizer
@@ -54,6 +55,7 @@ class JinaV1TextEmbedding(BaseEmbedding):
         self.tokenizer = None
         self.feature_extractor = None
         self.runner = None
+        self._lock = threading.Lock()
         files_names = list(self.download_urls.keys()) + [self.tokenizer_file]
 
         if not all(
@@ -134,17 +136,18 @@ class JinaV1TextEmbedding(BaseEmbedding):
             )
 
     def _preprocess_inputs(self, raw_inputs):
-        max_length = max(len(self.tokenizer.encode(text)) for text in raw_inputs)
-        return [
-            self.tokenizer(
-                text,
-                padding="max_length",
-                truncation=True,
-                max_length=max_length,
-                return_tensors="np",
-            )
-            for text in raw_inputs
-        ]
+        with self._lock:
+            max_length = max(len(self.tokenizer.encode(text)) for text in raw_inputs)
+            return [
+                self.tokenizer(
+                    text,
+                    padding="max_length",
+                    truncation=True,
+                    max_length=max_length,
+                    return_tensors="np",
+                )
+                for text in raw_inputs
+            ]
 
 
 class JinaV1ImageEmbedding(BaseEmbedding):
@@ -174,6 +177,7 @@ class JinaV1ImageEmbedding(BaseEmbedding):
         self.download_path = os.path.join(MODEL_CACHE_DIR, self.model_name)
         self.feature_extractor = None
         self.runner: BaseModelRunner | None = None
+        self._lock = threading.Lock()
         files_names = list(self.download_urls.keys())
         if not all(
             os.path.exists(os.path.join(self.download_path, n)) for n in files_names
@@ -186,6 +190,9 @@ class JinaV1ImageEmbedding(BaseEmbedding):
                 download_func=self._download_model,
             )
             self.downloader.ensure_model_files()
+            # Avoid lazy loading in worker threads: block until downloads complete
+            # and load the model on the main thread during initialization.
+            self._load_model_and_utils()
         else:
             self.downloader = None
             ModelDownloader.mark_files_state(
@@ -213,8 +220,9 @@ class JinaV1ImageEmbedding(BaseEmbedding):
             )
 
     def _preprocess_inputs(self, raw_inputs):
-        processed_images = [self._process_image(img) for img in raw_inputs]
-        return [
-            self.feature_extractor(images=image, return_tensors="np")
-            for image in processed_images
-        ]
+        with self._lock:
+            processed_images = [self._process_image(img) for img in raw_inputs]
+            return [
+                self.feature_extractor(images=image, return_tensors="np")
+                for image in processed_images
+            ]
diff --git a/frigate/embeddings/onnx/jina_v2_embedding.py b/frigate/embeddings/onnx/jina_v2_embedding.py
index 44cc6c12b..1abd968c9 100644
--- a/frigate/embeddings/onnx/jina_v2_embedding.py
+++ b/frigate/embeddings/onnx/jina_v2_embedding.py
@@ -3,6 +3,7 @@
 import io
 import logging
 import os
+import threading
 
 import numpy as np
 from PIL import Image
@@ -53,6 +54,11 @@ class JinaV2Embedding(BaseEmbedding):
         self.tokenizer = None
         self.image_processor = None
         self.runner = None
+
+        # Lock to prevent concurrent calls (text and vision share this instance)
+        self._call_lock = threading.Lock()
+
+        # download the model and tokenizer
         files_names = list(self.download_urls.keys()) + [self.tokenizer_file]
         if not all(
             os.path.exists(os.path.join(self.download_path, n)) for n in files_names
@@ -65,6 +71,9 @@ class JinaV2Embedding(BaseEmbedding):
                 download_func=self._download_model,
             )
             self.downloader.ensure_model_files()
+            # Avoid lazy loading in worker threads: block until downloads complete
+            # and load the model on the main thread during initialization.
+            self._load_model_and_utils()
         else:
             self.downloader = None
             ModelDownloader.mark_files_state(
@@ -197,37 +206,40 @@ class JinaV2Embedding(BaseEmbedding):
     def __call__(
         self, inputs: list[str] | list[Image.Image] | list[str], embedding_type=None
     ) -> list[np.ndarray]:
-        self.embedding_type = embedding_type
-        if not self.embedding_type:
-            raise ValueError(
-                "embedding_type must be specified either in __init__ or __call__"
-            )
+        # Lock the entire call to prevent race conditions when text and vision
+        # embeddings are called concurrently from different threads
+        with self._call_lock:
+            self.embedding_type = embedding_type
+            if not self.embedding_type:
+                raise ValueError(
+                    "embedding_type must be specified either in __init__ or __call__"
+                )
 
-        self._load_model_and_utils()
-        processed = self._preprocess_inputs(inputs)
-        batch_size = len(processed)
+            self._load_model_and_utils()
+            processed = self._preprocess_inputs(inputs)
+            batch_size = len(processed)
 
-        # Prepare ONNX inputs with matching batch sizes
-        onnx_inputs = {}
-        if self.embedding_type == "text":
-            onnx_inputs["input_ids"] = np.stack([x[0] for x in processed])
-            onnx_inputs["pixel_values"] = np.zeros(
-                (batch_size, 3, 512, 512), dtype=np.float32
-            )
-        elif self.embedding_type == "vision":
-            onnx_inputs["input_ids"] = np.zeros((batch_size, 16), dtype=np.int64)
-            onnx_inputs["pixel_values"] = np.stack([x[0] for x in processed])
-        else:
-            raise ValueError("Invalid embedding type")
+            # Prepare ONNX inputs with matching batch sizes
+            onnx_inputs = {}
+            if self.embedding_type == "text":
+                onnx_inputs["input_ids"] = np.stack([x[0] for x in processed])
+                onnx_inputs["pixel_values"] = np.zeros(
+                    (batch_size, 3, 512, 512), dtype=np.float32
+                )
+            elif self.embedding_type == "vision":
+                onnx_inputs["input_ids"] = np.zeros((batch_size, 16), dtype=np.int64)
+                onnx_inputs["pixel_values"] = np.stack([x[0] for x in processed])
+            else:
+                raise ValueError("Invalid embedding type")
 
-        # Run inference
-        outputs = self.runner.run(onnx_inputs)
-        if self.embedding_type == "text":
-            embeddings = outputs[2]  # text embeddings
-        elif self.embedding_type == "vision":
-            embeddings = outputs[3]  # image embeddings
-        else:
-            raise ValueError("Invalid embedding type")
+            # Run inference
+            outputs = self.runner.run(onnx_inputs)
+            if self.embedding_type == "text":
+                embeddings = outputs[2]  # text embeddings
+            elif self.embedding_type == "vision":
+                embeddings = outputs[3]  # image embeddings
+            else:
+                raise ValueError("Invalid embedding type")
 
-        embeddings = self._postprocess_outputs(embeddings)
-        return [embedding for embedding in embeddings]
+            embeddings = self._postprocess_outputs(embeddings)
+            return [embedding for embedding in embeddings]
diff --git a/frigate/events/audio.py b/frigate/events/audio.py
index 1aa227719..e88f2ae71 100644
--- a/frigate/events/audio.py
+++ b/frigate/events/audio.py
@@ -34,7 +34,7 @@ from frigate.data_processing.real_time.audio_transcription import (
     AudioTranscriptionRealTimeProcessor,
 )
 from frigate.ffmpeg_presets import parse_preset_input
-from frigate.log import LogPipe, redirect_output_to_logger
+from frigate.log import LogPipe, suppress_stderr_during
 from frigate.object_detection.base import load_labels
 from frigate.util.builtin import get_ffmpeg_arg_list
 from frigate.util.process import FrigateProcess
@@ -367,17 +367,17 @@ class AudioEventMaintainer(threading.Thread):
 
 
 class AudioTfl:
-    @redirect_output_to_logger(logger, logging.DEBUG)
     def __init__(self, stop_event: threading.Event, num_threads=2):
         self.stop_event = stop_event
         self.num_threads = num_threads
         self.labels = load_labels("/audio-labelmap.txt", prefill=521)
-        self.interpreter = Interpreter(
-            model_path="/cpu_audio_model.tflite",
-            num_threads=self.num_threads,
-        )
-
-        self.interpreter.allocate_tensors()
+        # Suppress TFLite delegate creation messages that bypass Python logging
+        with suppress_stderr_during("tflite_interpreter_init"):
+            self.interpreter = Interpreter(
+                model_path="/cpu_audio_model.tflite",
+                num_threads=self.num_threads,
+            )
+            self.interpreter.allocate_tensors()
 
         self.tensor_input_details = self.interpreter.get_input_details()
         self.tensor_output_details = self.interpreter.get_output_details()
diff --git a/frigate/events/cleanup.py b/frigate/events/cleanup.py
index 1e97ca14c..1ac03b2ed 100644
--- a/frigate/events/cleanup.py
+++ b/frigate/events/cleanup.py
@@ -12,7 +12,7 @@ from frigate.config import FrigateConfig
 from frigate.const import CLIPS_DIR
 from frigate.db.sqlitevecq import SqliteVecQueueDatabase
 from frigate.models import Event, Timeline
-from frigate.util.path import delete_event_snapshot, delete_event_thumbnail
+from frigate.util.file import delete_event_snapshot, delete_event_thumbnail
 
 logger = logging.getLogger(__name__)
 
@@ -229,6 +229,11 @@ class EventCleanup(threading.Thread):
             try:
                 media_path.unlink(missing_ok=True)
                 if file_extension == "jpg":
+                    media_path = Path(
+                        f"{os.path.join(CLIPS_DIR, media_name)}-clean.webp"
+                    )
+                    media_path.unlink(missing_ok=True)
+                    # Also delete clean.png (legacy) for backward compatibility
                     media_path = Path(
                         f"{os.path.join(CLIPS_DIR, media_name)}-clean.png"
                     )
diff --git a/frigate/events/maintainer.py b/frigate/events/maintainer.py
index 2b0fc4193..0d1a1b025 100644
--- a/frigate/events/maintainer.py
+++ b/frigate/events/maintainer.py
@@ -46,7 +46,7 @@ def should_update_state(prev_event: Event, current_event: Event) -> bool:
     if prev_event["sub_label"] != current_event["sub_label"]:
         return True
 
-    if len(prev_event["current_zones"]) < len(current_event["current_zones"]):
+    if set(prev_event["current_zones"]) != set(current_event["current_zones"]):
         return True
 
     return False
diff --git a/frigate/ffmpeg_presets.py b/frigate/ffmpeg_presets.py
index d23c8b372..43272a6d1 100644
--- a/frigate/ffmpeg_presets.py
+++ b/frigate/ffmpeg_presets.py
@@ -23,35 +23,51 @@ logger = logging.getLogger(__name__)
 class LibvaGpuSelector:
     "Automatically selects the correct libva GPU."
 
-    _selected_gpu = None
+    _valid_gpus: list[str] | None = None
 
-    def get_selected_gpu(self) -> str:
-        """Get selected libva GPU."""
+    def __get_valid_gpus(self) -> None:
+        """Get valid libva GPUs."""
         if not os.path.exists("/dev/dri"):
-            return ""
+            self._valid_gpus = []
+            return
 
-        if self._selected_gpu:
-            return self._selected_gpu
+        if self._valid_gpus:
+            return
 
         devices = list(filter(lambda d: d.startswith("render"), os.listdir("/dev/dri")))
 
         if not devices:
-            return "/dev/dri/renderD128"
+            self._valid_gpus = ["/dev/dri/renderD128"]
+            return
 
         if len(devices) < 2:
-            self._selected_gpu = f"/dev/dri/{devices[0]}"
-            return self._selected_gpu
+            self._valid_gpus = [f"/dev/dri/{devices[0]}"]
+            return
 
+        self._valid_gpus = []
         for device in devices:
             check = vainfo_hwaccel(device_name=device)
 
             logger.debug(f"{device} return vainfo status code: {check.returncode}")
 
             if check.returncode == 0:
-                self._selected_gpu = f"/dev/dri/{device}"
-                return self._selected_gpu
+                self._valid_gpus.append(f"/dev/dri/{device}")
 
-        return ""
+    def get_gpu_arg(self, preset: str, gpu: int) -> str:
+        if "nvidia" in preset:
+            return str(gpu)
+
+        if self._valid_gpus is None:
+            self.__get_valid_gpus()
+
+        if not self._valid_gpus:
+            return ""
+
+        if gpu <= len(self._valid_gpus):
+            return self._valid_gpus[gpu]
+        else:
+            logger.warning(f"Invalid GPU index {gpu}, using first valid GPU")
+            return self._valid_gpus[0]
 
 
 FPS_VFR_PARAM = "-fps_mode vfr" if LIBAVFORMAT_VERSION_MAJOR >= 59 else "-vsync 2"
@@ -63,13 +79,15 @@ _user_agent_args = [
     f"FFmpeg Frigate/{VERSION}",
 ]
 
+# Presets for FFMPEG Stream Decoding (detect role)
+
 PRESETS_HW_ACCEL_DECODE = {
     "preset-rpi-64-h264": "-c:v:1 h264_v4l2m2m",
     "preset-rpi-64-h265": "-c:v:1 hevc_v4l2m2m",
-    FFMPEG_HWACCEL_VAAPI: f"-hwaccel_flags allow_profile_mismatch -hwaccel vaapi -hwaccel_device {_gpu_selector.get_selected_gpu()} -hwaccel_output_format vaapi",
-    "preset-intel-qsv-h264": f"-hwaccel qsv -qsv_device {_gpu_selector.get_selected_gpu()} -hwaccel_output_format qsv -c:v h264_qsv{' -bsf:v dump_extra' if LIBAVFORMAT_VERSION_MAJOR >= 61 else ''}",  # https://trac.ffmpeg.org/ticket/9766#comment:17
-    "preset-intel-qsv-h265": f"-load_plugin hevc_hw -hwaccel qsv -qsv_device {_gpu_selector.get_selected_gpu()} -hwaccel_output_format qsv{' -bsf:v dump_extra' if LIBAVFORMAT_VERSION_MAJOR >= 61 else ''}",  # https://trac.ffmpeg.org/ticket/9766#comment:17
-    FFMPEG_HWACCEL_NVIDIA: "-hwaccel cuda -hwaccel_output_format cuda",
+    FFMPEG_HWACCEL_VAAPI: "-hwaccel_flags allow_profile_mismatch -hwaccel vaapi -hwaccel_device {3} -hwaccel_output_format vaapi",
+    "preset-intel-qsv-h264": f"-hwaccel qsv -qsv_device {{3}} -hwaccel_output_format qsv -c:v h264_qsv{' -bsf:v dump_extra' if LIBAVFORMAT_VERSION_MAJOR >= 61 else ''}",  # https://trac.ffmpeg.org/ticket/9766#comment:17
+    "preset-intel-qsv-h265": f"-load_plugin hevc_hw -hwaccel qsv -qsv_device {{3}} -hwaccel_output_format qsv{' -bsf:v dump_extra' if LIBAVFORMAT_VERSION_MAJOR >= 61 else ''}",  # https://trac.ffmpeg.org/ticket/9766#comment:17
+    FFMPEG_HWACCEL_NVIDIA: "-hwaccel_device {3} -hwaccel cuda -hwaccel_output_format cuda",
     "preset-jetson-h264": "-c:v h264_nvmpi -resize {1}x{2}",
     "preset-jetson-h265": "-c:v hevc_nvmpi -resize {1}x{2}",
     f"{FFMPEG_HWACCEL_RKMPP}-no-dump_extra": "-hwaccel rkmpp -hwaccel_output_format drm_prime",
@@ -97,6 +115,8 @@ PRESETS_HW_ACCEL_DECODE["preset-rk-h265"] = PRESETS_HW_ACCEL_DECODE[
     FFMPEG_HWACCEL_RKMPP
 ]
 
+# Presets for FFMPEG Stream Scaling (detect role)
+
 PRESETS_HW_ACCEL_SCALE = {
     "preset-rpi-64-h264": "-r {0} -vf fps={0},scale={1}:{2}",
     "preset-rpi-64-h265": "-r {0} -vf fps={0},scale={1}:{2}",
@@ -125,6 +145,8 @@ PRESETS_HW_ACCEL_SCALE[f"{FFMPEG_HWACCEL_RKMPP}-no-dump_extra"] = (
 PRESETS_HW_ACCEL_SCALE["preset-rk-h264"] = PRESETS_HW_ACCEL_SCALE[FFMPEG_HWACCEL_RKMPP]
 PRESETS_HW_ACCEL_SCALE["preset-rk-h265"] = PRESETS_HW_ACCEL_SCALE[FFMPEG_HWACCEL_RKMPP]
 
+# Presets for FFMPEG Stream Encoding (birdseye feature)
+
 PRESETS_HW_ACCEL_ENCODE_BIRDSEYE = {
     "preset-rpi-64-h264": "{0} -hide_banner {1} -c:v h264_v4l2m2m {2}",
     "preset-rpi-64-h265": "{0} -hide_banner {1} -c:v hevc_v4l2m2m {2}",
@@ -153,6 +175,8 @@ PRESETS_HW_ACCEL_ENCODE_BIRDSEYE["preset-rk-h264"] = PRESETS_HW_ACCEL_ENCODE_BIR
     FFMPEG_HWACCEL_RKMPP
 ]
 
+# Presets for FFMPEG Stream Encoding (timelapse feature)
+
 PRESETS_HW_ACCEL_ENCODE_TIMELAPSE = {
     "preset-rpi-64-h264": "{0} -hide_banner {1} -c:v h264_v4l2m2m -pix_fmt yuv420p {2}",
     "preset-rpi-64-h265": "{0} -hide_banner {1} -c:v hevc_v4l2m2m -pix_fmt yuv420p {2}",
@@ -190,6 +214,7 @@ def parse_preset_hardware_acceleration_decode(
     fps: int,
     width: int,
     height: int,
+    gpu: int,
 ) -> list[str]:
     """Return the correct preset if in preset format otherwise return None."""
     if not isinstance(arg, str):
@@ -200,7 +225,8 @@ def parse_preset_hardware_acceleration_decode(
     if not decode:
         return None
 
-    return decode.format(fps, width, height).split(" ")
+    gpu_arg = _gpu_selector.get_gpu_arg(arg, gpu)
+    return decode.format(fps, width, height, gpu_arg).split(" ")
 
 
 def parse_preset_hardware_acceleration_scale(
@@ -220,7 +246,7 @@ def parse_preset_hardware_acceleration_scale(
         ",hwdownload,format=nv12,eq=gamma=1.4:gamma_weight=0.5" in scale
         and os.environ.get("FFMPEG_DISABLE_GAMMA_EQUALIZER") is not None
     ):
-        scale.replace(
+        scale = scale.replace(
             ",hwdownload,format=nv12,eq=gamma=1.4:gamma_weight=0.5",
             ":format=nv12,hwdownload,format=nv12,format=yuv420p",
         )
@@ -262,7 +288,7 @@ def parse_preset_hardware_acceleration_encode(
         ffmpeg_path,
         input,
         output,
-        _gpu_selector.get_selected_gpu(),
+        _gpu_selector.get_gpu_arg(arg, 0),
     )
 
 
diff --git a/frigate/genai/__init__.py b/frigate/genai/__init__.py
index 7bc1bbf75..7f0192912 100644
--- a/frigate/genai/__init__.py
+++ b/frigate/genai/__init__.py
@@ -51,8 +51,7 @@ class GenAIClient:
         def get_concern_prompt() -> str:
             if concerns:
                 concern_list = "\n    - ".join(concerns)
-                return f"""
-- `other_concerns` (list of strings): Include a list of any of the following concerns that are occurring:
+                return f"""- `other_concerns` (list of strings): Include a list of any of the following concerns that are occurring:
     - {concern_list}"""
             else:
                 return ""
@@ -63,58 +62,69 @@ class GenAIClient:
             else:
                 return ""
 
-        def get_verified_objects() -> str:
-            if review_data["recognized_objects"]:
-                return "  - " + "\n  - ".join(review_data["recognized_objects"])
+        def get_objects_list() -> str:
+            if review_data["unified_objects"]:
+                return "\n- " + "\n- ".join(review_data["unified_objects"])
             else:
-                return "  None"
+                return "\n- (No objects detected)"
 
         context_prompt = f"""
-Please analyze the sequence of images ({len(thumbnails)} total) taken in chronological order from the perspective of the {review_data["camera"].replace("_", " ")} security camera.
+Your task is to analyze the sequence of images ({len(thumbnails)} total) taken in chronological order from the perspective of the {review_data["camera"]} security camera.
+
+## Normal Activity Patterns for This Property
 
-**Normal activity patterns for this property:**
 {activity_context_prompt}
 
+## Task Instructions
+
 Your task is to provide a clear, accurate description of the scene that:
 1. States exactly what is happening based on observable actions and movements.
-2. Evaluates whether the observable evidence suggests normal activity for this property or genuine security concerns.
-3. Assigns a potential_threat_level based on the definitions below, applying them consistently.
+2. Evaluates the activity against the Normal and Suspicious Activity Indicators above.
+3. Assigns a potential_threat_level (0, 1, or 2) based on the threat level indicators defined above, applying them consistently.
 
-**IMPORTANT: Start by checking if the activity matches the normal patterns above. If it does, assign Level 0. Only consider higher threat levels if the activity clearly deviates from normal patterns or shows genuine security concerns.**
+**Use the activity patterns above as guidance to calibrate your assessment. Match the activity against both normal and suspicious indicators, then use your judgment based on the complete context.**
+
+## Analysis Guidelines
 
 When forming your description:
-- **CRITICAL: Only describe objects explicitly listed in "Detected objects" below.** Do not infer or mention additional people, vehicles, or objects not present in the detected objects list, even if visual patterns suggest them. If only a car is detected, do not describe a person interacting with it unless "person" is also in the detected objects list.
+- **CRITICAL: Only describe objects explicitly listed in "Objects in Scene" below.** Do not infer or mention additional people, vehicles, or objects not present in this list, even if visual patterns suggest them. If only a car is listed, do not describe a person interacting with it unless "person" is also in the objects list.
 - **Only describe actions actually visible in the frames.** Do not assume or infer actions that you don't observe happening. If someone walks toward furniture but you never see them sit, do not say they sat. Stick to what you can see across the sequence.
 - Describe what you observe: actions, movements, interactions with objects and the environment. Include any observable environmental changes (e.g., lighting changes triggered by activity).
 - Note visible details such as clothing, items being carried or placed, tools or equipment present, and how they interact with the property or objects.
 - Consider the full sequence chronologically: what happens from start to finish, how duration and actions relate to the location and objects involved.
 - **Use the actual timestamp provided in "Activity started at"** below for time of day context—do not infer time from image brightness or darkness. Unusual hours (late night/early morning) should increase suspicion when the observable behavior itself appears questionable. However, recognize that some legitimate activities can occur at any hour.
-- Identify patterns that suggest genuine security concerns: testing doors/windows on vehicles or buildings, accessing unauthorized areas, attempting to conceal actions, extended loitering without apparent purpose, taking items, behavior that clearly doesn't align with the zone context and detected objects.
-- **Weigh all evidence holistically**: Start by checking if the activity matches the normal patterns above. If it does, assign Level 0. Only consider Level 1 if the activity clearly deviates from normal patterns or shows genuine security concerns that warrant attention.
+- **Consider duration as a primary factor**: Apply the duration thresholds defined in the activity patterns above. Brief sequences during normal hours with apparent purpose typically indicate normal activity unless explicit suspicious actions are visible.
+- **Weigh all evidence holistically**: Match the activity against the normal and suspicious patterns defined above, then evaluate based on the complete context (zone, objects, time, actions, duration). Apply the threat level indicators consistently. Use your judgment for edge cases.
+
+## Response Format
 
 Your response MUST be a flat JSON object with:
-- `title` (string): A concise, one-sentence title that captures the main activity. Include any verified recognized objects (from the "Verified recognized objects" list below) and key detected objects. Examples: "Joe walking dog in backyard", "Unknown person testing car doors at night".
-- `scene` (string): A narrative description of what happens across the sequence from start to finish. **Only describe actions you can actually observe happening in the frames provided.** Do not infer or assume actions that aren't visible (e.g., if you see someone walking but never see them sit, don't say they sat down). Include setting, detected objects, and their observable actions. Avoid speculation or filling in assumed behaviors. Your description should align with and support the threat level you assign.
+- `title` (string): A concise, direct title that describes the primary action or event in the sequence, not just what you literally see. Use spatial context when available to make titles more meaningful. When multiple objects/actions are present, prioritize whichever is most prominent or occurs first. Use names from "Objects in Scene" based on what you visually observe. If you see both a name and an unidentified object of the same type but visually observe only one person/object, use ONLY the name. Examples: "Joe walking dog", "Person taking out trash", "Vehicle arriving in driveway", "Joe accessing vehicle", "Person leaving porch for driveway".
+- `scene` (string): A narrative description of what happens across the sequence from start to finish, in chronological order. Start by describing how the sequence begins, then describe the progression of events. **Describe all significant movements and actions in the order they occur.** For example, if a vehicle arrives and then a person exits, describe both actions sequentially. **Only describe actions you can actually observe happening in the frames provided.** Do not infer or assume actions that aren't visible (e.g., if you see someone walking but never see them sit, don't say they sat down). Include setting, detected objects, and their observable actions. Avoid speculation or filling in assumed behaviors. Your description should align with and support the threat level you assign.
+- `shortSummary` (string): A brief 2-sentence summary of the scene, suitable for notifications. Should capture the key activity and context without full detail. This should be a condensed version of the scene description above.
 - `confidence` (float): 0-1 confidence in your analysis. Higher confidence when objects/actions are clearly visible and context is unambiguous. Lower confidence when the sequence is unclear, objects are partially obscured, or context is ambiguous.
-- `potential_threat_level` (integer): 0, 1, or 2 as defined below. Your threat level must be consistent with your scene description and the guidance above.
+- `potential_threat_level` (integer): 0, 1, or 2 as defined in "Normal Activity Patterns for This Property" above. Your threat level must be consistent with your scene description and the guidance above.
 {get_concern_prompt()}
 
-Threat-level definitions:
-- 0 — **Normal activity (DEFAULT)**: What you observe matches the normal activity patterns above or is consistent with expected activity for this property type. The observable evidence—considering zone context, detected objects, and timing together—supports a benign explanation. **Use this level for routine activities even if minor ambiguous elements exist.**
-- 1 — **Potentially suspicious**: Observable behavior raises genuine security concerns that warrant human review. The evidence doesn't support a routine explanation and clearly deviates from the normal patterns above. Examples: testing doors/windows on vehicles or structures, accessing areas that don't align with the activity, taking items that likely don't belong to them, behavior clearly inconsistent with the zone and context, or activity that lacks any visible legitimate indicators. **Only use this level when the activity clearly doesn't match normal patterns.**
-- 2 — **Immediate threat**: Clear evidence of forced entry, break-in, vandalism, aggression, weapons, theft in progress, or active property damage.
+## Sequence Details
 
-Sequence details:
 - Frame 1 = earliest, Frame {len(thumbnails)} = latest
 - Activity started at {review_data["start"]} and lasted {review_data["duration"]} seconds
-- Detected objects: {", ".join(review_data["objects"])}
-- Verified recognized objects (use these names when describing these objects):
-{get_verified_objects()}
-- Zones involved: {", ".join(z.replace("_", " ").title() for z in review_data["zones"]) or "None"}
+- Zones involved: {", ".join(review_data["zones"]) if review_data["zones"] else "None"}
 
-**IMPORTANT:**
+## Objects in Scene
+
+Each line represents a detection state, not necessarily unique individuals. Parentheses indicate object type or category, use only the name/label in your response, not the parentheses.
+
+**CRITICAL: When you see both recognized and unrecognized entries of the same type (e.g., "Joe (person)" and "Person"), visually count how many distinct people/objects you actually see based on appearance and clothing. If you observe only ONE person throughout the sequence, use ONLY the recognized name (e.g., "Joe"). The same person may be recognized in some frames but not others. Only describe both if you visually see MULTIPLE distinct people with clearly different appearances.**
+
+**Note: Unidentified objects (without names) are NOT indicators of suspicious activity—they simply mean the system hasn't identified that object.**
+{get_objects_list()}
+
+## Important Notes
 - Values must be plain strings, floats, or integers — no nested objects, no extra commentary.
-- Only describe objects from the "Detected objects" list above. Do not hallucinate additional objects.
+- Only describe objects from the "Objects in Scene" list above. Do not hallucinate additional objects.
+- When describing people or vehicles, use the exact names provided.
 {get_language_prompt()}
 """
         logger.debug(
@@ -149,7 +159,8 @@ Sequence details:
             try:
                 metadata = ReviewMetadata.model_validate_json(clean_json)
 
-                if review_data["recognized_objects"]:
+                # If any verified objects (contain parentheses with name), set to 0
+                if any("(" in obj for obj in review_data["unified_objects"]):
                     metadata.potential_threat_level = 0
 
                 metadata.time = review_data["start"]
@@ -167,50 +178,66 @@ Sequence details:
         self,
         start_ts: float,
         end_ts: float,
-        segments: list[dict[str, Any]],
+        events: list[dict[str, Any]],
+        preferred_language: str | None,
         debug_save: bool,
     ) -> str | None:
         """Generate a summary of review item descriptions over a period of time."""
         time_range = f"{datetime.datetime.fromtimestamp(start_ts).strftime('%B %d, %Y at %I:%M %p')} to {datetime.datetime.fromtimestamp(end_ts).strftime('%B %d, %Y at %I:%M %p')}"
         timeline_summary_prompt = f"""
-You are a security officer.
-Time range: {time_range}.
-Input: JSON list with "title", "scene", "confidence", "potential_threat_level" (1-2), "other_concerns".
+You are a security officer writing a concise security report.
 
-Task: Write a concise, human-presentable security report in markdown format.
+Time range: {time_range}
 
-Rules for the report:
+Input format: Each event is a JSON object with:
+- "title", "scene", "confidence", "potential_threat_level" (0-2), "other_concerns", "camera", "time", "start_time", "end_time"
+- "context": array of related events from other cameras that occurred during overlapping time periods
 
-- Title & overview
-  - Start with:
-    # Security Summary - {time_range}
-  - Write a 1-2 sentence situational overview capturing the general pattern of the period.
+**Note: Use the "scene" field for event descriptions in the report. Ignore any "shortSummary" field if present.**
 
-- Event details
-  - Present events in chronological order as a bullet list.
-  - **If multiple events occur within the same minute or overlapping time range, COMBINE them into a single bullet.**
-    - Summarize the distinct activities as sub-points under the shared timestamp.
-  - If no timestamp is given, preserve order but label as “Time not specified.”
-  - Use bold timestamps for clarity.
-  - Group bullets under subheadings when multiple events fall into the same category (e.g., Vehicle Activity, Porch Activity, Unusual Behavior).
+Report Structure - Use this EXACT format:
 
-- Threat levels
-  - Always show (threat level: X) for each event.
-  - If multiple events at the same time share the same threat level, only state it once.
+# Security Summary - {time_range}
 
-- Final assessment
-  - End with a Final Assessment section.
-  - If all events are threat level 1 with no escalation:
-    Final assessment: Only normal residential activity observed during this period.
-  - If threat level 2+ events are present, clearly summarize them as Potential concerns requiring review.
+## Overview
+[Write 1-2 sentences summarizing the overall activity pattern during this period.]
 
-- Conciseness
-  - Do not repeat benign clothing/appearance details unless they distinguish individuals.
-  - Summarize similar routine events instead of restating full scene descriptions.
+---
+
+## Timeline
+
+[Group events by time periods (e.g., "Morning (6:00 AM - 12:00 PM)", "Afternoon (12:00 PM - 5:00 PM)", "Evening (5:00 PM - 9:00 PM)", "Night (9:00 PM - 6:00 AM)"). Use appropriate time blocks based on when events occurred.]
+
+### [Time Block Name]
+
+**HH:MM AM/PM** | [Camera Name] | [Threat Level Indicator]
+- [Event title]: [Clear description incorporating contextual information from the "context" array]
+- Context: [If context array has items, mention them here, e.g., "Delivery truck present on Front Driveway Cam (HH:MM AM/PM)"]
+- Assessment: [Brief assessment incorporating context - if context explains the event, note it here]
+
+[Repeat for each event in chronological order within the time block]
+
+---
+
+## Summary
+[One sentence summarizing the period. If all events are normal/explained: "Routine activity observed." If review needed: "Some activity requires review but no security concerns." If security concerns: "Security concerns requiring immediate attention."]
+
+Guidelines:
+- List ALL events in chronological order, grouped by time blocks
+- Threat level indicators: ✓ Normal, ⚠️ Needs review, 🔴 Security concern
+- Integrate contextual information naturally - use the "context" array to enrich each event's description
+- If context explains the event (e.g., delivery truck explains person at door), describe it accordingly (e.g., "delivery person" not "unidentified person")
+- Be concise but informative - focus on what happened and what it means
+- If contextual information makes an event clearly normal, reflect that in your assessment
+- Only create time blocks that have events - don't create empty sections
 """
 
-        for item in segments:
-            timeline_summary_prompt += f"\n{item}"
+        timeline_summary_prompt += "\n\nEvents:\n"
+        for event in events:
+            timeline_summary_prompt += f"\n{event}\n"
+
+        if preferred_language:
+            timeline_summary_prompt += f"\nProvide your answer in {preferred_language}"
 
         if debug_save:
             with open(
diff --git a/frigate/genai/azure-openai.py b/frigate/genai/azure-openai.py
index eba8b47c0..eb08f7786 100644
--- a/frigate/genai/azure-openai.py
+++ b/frigate/genai/azure-openai.py
@@ -64,6 +64,7 @@ class OpenAIClient(GenAIClient):
                     },
                 ],
                 timeout=self.timeout,
+                **self.genai_config.runtime_options,
             )
         except Exception as e:
             logger.warning("Azure OpenAI returned an error: %s", str(e))
diff --git a/frigate/genai/gemini.py b/frigate/genai/gemini.py
index f94448d75..b700c33a4 100644
--- a/frigate/genai/gemini.py
+++ b/frigate/genai/gemini.py
@@ -3,8 +3,8 @@
 import logging
 from typing import Optional
 
-import google.generativeai as genai
-from google.api_core.exceptions import GoogleAPICallError
+from google import genai
+from google.genai import errors, types
 
 from frigate.config import GenAIProviderEnum
 from frigate.genai import GenAIClient, register_genai_provider
@@ -16,40 +16,58 @@ logger = logging.getLogger(__name__)
 class GeminiClient(GenAIClient):
     """Generative AI client for Frigate using Gemini."""
 
-    provider: genai.GenerativeModel
+    provider: genai.Client
 
     def _init_provider(self):
         """Initialize the client."""
-        genai.configure(api_key=self.genai_config.api_key)
-        return genai.GenerativeModel(
-            self.genai_config.model, **self.genai_config.provider_options
+        # Merge provider_options into HttpOptions
+        http_options_dict = {
+            "timeout": int(self.timeout * 1000),  # requires milliseconds
+            "retry_options": types.HttpRetryOptions(
+                attempts=3,
+                initial_delay=1.0,
+                max_delay=60.0,
+                exp_base=2.0,
+                jitter=1.0,
+                http_status_codes=[429, 500, 502, 503, 504],
+            ),
+        }
+
+        if isinstance(self.genai_config.provider_options, dict):
+            http_options_dict.update(self.genai_config.provider_options)
+
+        return genai.Client(
+            api_key=self.genai_config.api_key,
+            http_options=types.HttpOptions(**http_options_dict),
         )
 
     def _send(self, prompt: str, images: list[bytes]) -> Optional[str]:
         """Submit a request to Gemini."""
-        data = [
-            {
-                "mime_type": "image/jpeg",
-                "data": img,
-            }
-            for img in images
+        contents = [
+            types.Part.from_bytes(data=img, mime_type="image/jpeg") for img in images
         ] + [prompt]
         try:
-            response = self.provider.generate_content(
-                data,
-                generation_config=genai.types.GenerationConfig(
-                    candidate_count=1,
-                ),
-                request_options=genai.types.RequestOptions(
-                    timeout=self.timeout,
+            # Merge runtime_options into generation_config if provided
+            generation_config_dict = {"candidate_count": 1}
+            generation_config_dict.update(self.genai_config.runtime_options)
+
+            response = self.provider.models.generate_content(
+                model=self.genai_config.model,
+                contents=contents,
+                config=types.GenerateContentConfig(
+                    **generation_config_dict,
                 ),
             )
-        except GoogleAPICallError as e:
+        except errors.APIError as e:
             logger.warning("Gemini returned an error: %s", str(e))
             return None
+        except Exception as e:
+            logger.warning("An unexpected error occurred with Gemini: %s", str(e))
+            return None
+
         try:
             description = response.text.strip()
-        except ValueError:
+        except (ValueError, AttributeError):
             # No description was generated
             return None
         return description
diff --git a/frigate/genai/ollama.py b/frigate/genai/ollama.py
index 30247e31c..ab6d3c0b3 100644
--- a/frigate/genai/ollama.py
+++ b/frigate/genai/ollama.py
@@ -1,9 +1,9 @@
 """Ollama Provider for Frigate AI."""
 
 import logging
-from typing import Optional
+from typing import Any, Optional
 
-from httpx import TimeoutException
+from httpx import RemoteProtocolError, TimeoutException
 from ollama import Client as ApiClient
 from ollama import ResponseError
 
@@ -17,10 +17,24 @@ logger = logging.getLogger(__name__)
 class OllamaClient(GenAIClient):
     """Generative AI client for Frigate using Ollama."""
 
+    LOCAL_OPTIMIZED_OPTIONS = {
+        "options": {
+            "temperature": 0.5,
+            "repeat_penalty": 1.05,
+            "presence_penalty": 0.3,
+        },
+    }
+
     provider: ApiClient
+    provider_options: dict[str, Any]
 
     def _init_provider(self):
         """Initialize the client."""
+        self.provider_options = {
+            **self.LOCAL_OPTIMIZED_OPTIONS,
+            **self.genai_config.provider_options,
+        }
+
         try:
             client = ApiClient(host=self.genai_config.base_url, timeout=self.timeout)
             # ensure the model is available locally
@@ -44,14 +58,26 @@ class OllamaClient(GenAIClient):
             )
             return None
         try:
+            ollama_options = {
+                **self.provider_options,
+                **self.genai_config.runtime_options,
+            }
             result = self.provider.generate(
                 self.genai_config.model,
                 prompt,
                 images=images if images else None,
-                **self.genai_config.provider_options,
+                **ollama_options,
+            )
+            logger.debug(
+                f"Ollama tokens used: eval_count={result.get('eval_count')}, prompt_eval_count={result.get('prompt_eval_count')}"
             )
             return result["response"].strip()
-        except (TimeoutException, ResponseError) as e:
+        except (
+            TimeoutException,
+            ResponseError,
+            RemoteProtocolError,
+            ConnectionError,
+        ) as e:
             logger.warning("Ollama returned an error: %s", str(e))
             return None
 
diff --git a/frigate/genai/openai.py b/frigate/genai/openai.py
index 046a18aa9..1fb0dd852 100644
--- a/frigate/genai/openai.py
+++ b/frigate/genai/openai.py
@@ -18,12 +18,18 @@ class OpenAIClient(GenAIClient):
     """Generative AI client for Frigate using OpenAI."""
 
     provider: OpenAI
+    context_size: Optional[int] = None
 
     def _init_provider(self):
         """Initialize the client."""
-        return OpenAI(
-            api_key=self.genai_config.api_key, **self.genai_config.provider_options
-        )
+        # Extract context_size from provider_options as it's not a valid OpenAI client parameter
+        # It will be used in get_context_size() instead
+        provider_opts = {
+            k: v
+            for k, v in self.genai_config.provider_options.items()
+            if k != "context_size"
+        }
+        return OpenAI(api_key=self.genai_config.api_key, **provider_opts)
 
     def _send(self, prompt: str, images: list[bytes]) -> Optional[str]:
         """Submit a request to OpenAI."""
@@ -55,6 +61,7 @@ class OpenAIClient(GenAIClient):
                     },
                 ],
                 timeout=self.timeout,
+                **self.genai_config.runtime_options,
             )
             if (
                 result is not None
@@ -69,5 +76,43 @@ class OpenAIClient(GenAIClient):
 
     def get_context_size(self) -> int:
         """Get the context window size for OpenAI."""
-        # OpenAI GPT-4 Vision models have 128K token context window
-        return 128000
+        if self.context_size is not None:
+            return self.context_size
+
+        # First check provider_options for manually specified context size
+        # This is necessary for llama.cpp and other OpenAI-compatible servers
+        # that don't expose the configured runtime context size in the API response
+        if "context_size" in self.genai_config.provider_options:
+            self.context_size = self.genai_config.provider_options["context_size"]
+            logger.debug(
+                f"Using context size {self.context_size} from provider_options for model {self.genai_config.model}"
+            )
+            return self.context_size
+
+        try:
+            models = self.provider.models.list()
+            for model in models.data:
+                if model.id == self.genai_config.model:
+                    if hasattr(model, "max_model_len") and model.max_model_len:
+                        self.context_size = model.max_model_len
+                        logger.debug(
+                            f"Retrieved context size {self.context_size} for model {self.genai_config.model}"
+                        )
+                        return self.context_size
+
+        except Exception as e:
+            logger.debug(
+                f"Failed to fetch model context size from API: {e}, using default"
+            )
+
+        # Default to 128K for ChatGPT models, 8K for others
+        model_name = self.genai_config.model.lower()
+        if "gpt" in model_name:
+            self.context_size = 128000
+        else:
+            self.context_size = 8192
+
+        logger.debug(
+            f"Using default context size {self.context_size} for model {self.genai_config.model}"
+        )
+        return self.context_size
diff --git a/frigate/log.py b/frigate/log.py
index f2171ffe0..5cec0e0d8 100644
--- a/frigate/log.py
+++ b/frigate/log.py
@@ -80,10 +80,16 @@ def apply_log_levels(default: str, log_levels: dict[str, LogLevel]) -> None:
     log_levels = {
         "absl": LogLevel.error,
         "httpx": LogLevel.error,
+        "h5py": LogLevel.error,
+        "keras": LogLevel.error,
         "matplotlib": LogLevel.error,
         "tensorflow": LogLevel.error,
+        "tensorflow.python": LogLevel.error,
         "werkzeug": LogLevel.error,
         "ws4py": LogLevel.error,
+        "PIL": LogLevel.warning,
+        "numba": LogLevel.warning,
+        "google_genai.models": LogLevel.warning,
         **log_levels,
     }
 
@@ -318,3 +324,31 @@ def suppress_os_output(func: Callable) -> Callable:
         return result
 
     return wrapper
+
+
+@contextmanager
+def suppress_stderr_during(operation_name: str) -> Generator[None, None, None]:
+    """
+    Context manager to suppress stderr output during a specific operation.
+
+    Useful for silencing LLVM debug output, CUDA messages, and other native
+    library logging that cannot be controlled via Python logging or environment
+    variables. Completely redirects file descriptor 2 (stderr) to /dev/null.
+
+    Usage:
+        with suppress_stderr_during("model_conversion"):
+            converter = tf.lite.TFLiteConverter.from_keras_model(model)
+            tflite_model = converter.convert()
+
+    Args:
+        operation_name: Name of the operation for debugging purposes
+    """
+    original_stderr_fd = os.dup(2)
+    devnull = os.open(os.devnull, os.O_WRONLY)
+    try:
+        os.dup2(devnull, 2)
+        yield
+    finally:
+        os.dup2(original_stderr_fd, 2)
+        os.close(devnull)
+        os.close(original_stderr_fd)
diff --git a/frigate/models.py b/frigate/models.py
index 59188128b..93f6cb54f 100644
--- a/frigate/models.py
+++ b/frigate/models.py
@@ -133,6 +133,7 @@ class User(Model):
         default="admin",
     )
     password_hash = CharField(null=False, max_length=120)
+    password_changed_at = DateTimeField(null=True)
     notification_tokens = JSONField()
 
     @classmethod
diff --git a/frigate/motion/improved_motion.py b/frigate/motion/improved_motion.py
index 77eae26a9..b081d3791 100644
--- a/frigate/motion/improved_motion.py
+++ b/frigate/motion/improved_motion.py
@@ -239,6 +239,12 @@ class ImprovedMotionDetector(MotionDetector):
         )
         self.mask = np.where(resized_mask == [0])
 
+        # Reset motion detection state when mask changes
+        # so motion detection can quickly recalibrate with the new mask
+        self.avg_frame = np.zeros(self.motion_frame_size, np.float32)
+        self.calibrating = True
+        self.motion_frame_count = 0
+
     def stop(self) -> None:
         """stop the motion detector."""
         pass
diff --git a/frigate/object_detection/base.py b/frigate/object_detection/base.py
index 9f4965111..d2a54afbc 100644
--- a/frigate/object_detection/base.py
+++ b/frigate/object_detection/base.py
@@ -9,6 +9,7 @@ from multiprocessing import Queue, Value
 from multiprocessing.synchronize import Event as MpEvent
 
 import numpy as np
+import zmq
 
 from frigate.comms.object_detector_signaler import (
     ObjectDetectorPublisher,
@@ -42,6 +43,7 @@ class BaseLocalDetector(ObjectDetector):
         self,
         detector_config: BaseDetectorConfig = None,
         labels: str = None,
+        stop_event: MpEvent = None,
     ):
         self.fps = EventsPerSecond()
         if labels is None:
@@ -59,6 +61,10 @@ class BaseLocalDetector(ObjectDetector):
 
         self.detect_api = create_detector(detector_config)
 
+        # If the detector supports stop_event, pass it
+        if hasattr(self.detect_api, "set_stop_event") and stop_event:
+            self.detect_api.set_stop_event(stop_event)
+
     def _transform_input(self, tensor_input: np.ndarray) -> np.ndarray:
         if self.input_transform:
             tensor_input = np.transpose(tensor_input, self.input_transform)
@@ -239,6 +245,10 @@ class AsyncDetectorRunner(FrigateProcess):
         while not self.stop_event.is_set():
             connection_id, detections = self._detector.async_receive_output()
 
+            # Handle timeout case (queue.Empty) - just continue
+            if connection_id is None:
+                continue
+
             if not self.send_times:
                 # guard; shouldn't happen if send/recv are balanced
                 continue
@@ -265,21 +275,38 @@ class AsyncDetectorRunner(FrigateProcess):
 
         self._frame_manager = SharedMemoryFrameManager()
         self._publisher = ObjectDetectorPublisher()
-        self._detector = AsyncLocalObjectDetector(detector_config=self.detector_config)
+        self._detector = AsyncLocalObjectDetector(
+            detector_config=self.detector_config, stop_event=self.stop_event
+        )
 
         for name in self.cameras:
             self.create_output_shm(name)
 
-        t_detect = threading.Thread(target=self._detect_worker, daemon=True)
-        t_result = threading.Thread(target=self._result_worker, daemon=True)
+        t_detect = threading.Thread(target=self._detect_worker, daemon=False)
+        t_result = threading.Thread(target=self._result_worker, daemon=False)
         t_detect.start()
         t_result.start()
 
-        while not self.stop_event.is_set():
-            time.sleep(0.5)
+        try:
+            while not self.stop_event.is_set():
+                time.sleep(0.5)
 
-        self._publisher.stop()
-        logger.info("Exited async detection process...")
+            logger.info(
+                "Stop event detected, waiting for detector threads to finish..."
+            )
+
+            # Wait for threads to finish processing
+            t_detect.join(timeout=5)
+            t_result.join(timeout=5)
+
+            # Shutdown the AsyncDetector
+            self._detector.detect_api.shutdown()
+
+            self._publisher.stop()
+        except Exception as e:
+            logger.error(f"Error during async detector shutdown: {e}")
+        finally:
+            logger.info("Exited Async detection process...")
 
 
 class ObjectDetectProcess:
@@ -307,7 +334,7 @@ class ObjectDetectProcess:
         # if the process has already exited on its own, just return
         if self.detect_process and self.detect_process.exitcode:
             return
-        self.detect_process.terminate()
+
         logging.info("Waiting for detection process to exit gracefully...")
         self.detect_process.join(timeout=30)
         if self.detect_process.exitcode is None:
@@ -377,6 +404,15 @@ class RemoteObjectDetector:
         if self.stop_event.is_set():
             return detections
 
+        # Drain any stale detection results from the ZMQ buffer before making a new request
+        # This prevents reading detection results from a previous request
+        # NOTE: This should never happen, but can in some rare cases
+        while True:
+            try:
+                self.detector_subscriber.socket.recv_string(flags=zmq.NOBLOCK)
+            except zmq.Again:
+                break
+
         # copy input to shared memory
         self.np_shm[:] = tensor_input[:]
         self.detection_queue.put(self.name)
diff --git a/frigate/output/birdseye.py b/frigate/output/birdseye.py
index 0939b5ce4..eb23c2573 100644
--- a/frigate/output/birdseye.py
+++ b/frigate/output/birdseye.py
@@ -9,6 +9,7 @@ import os
 import queue
 import subprocess as sp
 import threading
+import time
 import traceback
 from typing import Any, Optional
 
@@ -791,6 +792,10 @@ class Birdseye:
         self.frame_manager = SharedMemoryFrameManager()
         self.stop_event = stop_event
         self.requestor = InterProcessRequestor()
+        self.idle_fps: float = self.config.birdseye.idle_heartbeat_fps
+        self._idle_interval: Optional[float] = (
+            (1.0 / self.idle_fps) if self.idle_fps > 0 else None
+        )
 
         if config.birdseye.restream:
             self.birdseye_buffer = self.frame_manager.create(
@@ -848,6 +853,15 @@ class Birdseye:
             if frame_layout_changed:
                 coordinates = self.birdseye_manager.get_camera_coordinates()
                 self.requestor.send_data(UPDATE_BIRDSEYE_LAYOUT, coordinates)
+        if self._idle_interval:
+            now = time.monotonic()
+            is_idle = len(self.birdseye_manager.camera_layout) == 0
+            if (
+                is_idle
+                and (now - self.birdseye_manager.last_output_time)
+                >= self._idle_interval
+            ):
+                self.__send_new_frame()
 
     def stop(self) -> None:
         self.converter.join()
diff --git a/frigate/output/output.py b/frigate/output/output.py
index 674c02b78..a44415000 100644
--- a/frigate/output/output.py
+++ b/frigate/output/output.py
@@ -139,9 +139,11 @@ class OutputProcess(FrigateProcess):
             if CameraConfigUpdateEnum.add in updates:
                 for camera in updates["add"]:
                     jsmpeg_cameras[camera] = JsmpegCamera(
-                        cam_config, self.stop_event, websocket_server
+                        self.config.cameras[camera], self.stop_event, websocket_server
+                    )
+                    preview_recorders[camera] = PreviewRecorder(
+                        self.config.cameras[camera]
                     )
-                    preview_recorders[camera] = PreviewRecorder(cam_config)
                     preview_write_times[camera] = 0
 
                     if (
diff --git a/frigate/ptz/onvif.py b/frigate/ptz/onvif.py
index 13faffc97..488dbd278 100644
--- a/frigate/ptz/onvif.py
+++ b/frigate/ptz/onvif.py
@@ -95,12 +95,21 @@ class OnvifController:
 
         cam = self.camera_configs[cam_name]
         try:
+            user = cam.onvif.user
+            password = cam.onvif.password
+
+            if user is not None and isinstance(user, bytes):
+                user = user.decode("utf-8")
+
+            if password is not None and isinstance(password, bytes):
+                password = password.decode("utf-8")
+
             self.cams[cam_name] = {
                 "onvif": ONVIFCamera(
                     cam.onvif.host,
                     cam.onvif.port,
-                    cam.onvif.user,
-                    cam.onvif.password,
+                    user,
+                    password,
                     wsdl_dir=str(Path(find_spec("onvif").origin).parent / "wsdl"),
                     adjust_time=cam.onvif.ignore_time_mismatch,
                     encrypt=not cam.onvif.tls_insecure,
@@ -190,7 +199,11 @@ class OnvifController:
         ptz: ONVIFService = await onvif.create_ptz_service()
         self.cams[camera_name]["ptz"] = ptz
 
-        imaging: ONVIFService = await onvif.create_imaging_service()
+        try:
+            imaging: ONVIFService = await onvif.create_imaging_service()
+        except (Fault, ONVIFError, TransportError, Exception) as e:
+            logger.debug(f"Imaging service not supported for {camera_name}: {e}")
+            imaging = None
         self.cams[camera_name]["imaging"] = imaging
         try:
             video_sources = await media.GetVideoSources()
@@ -321,9 +334,15 @@ class OnvifController:
             presets = []
 
         for preset in presets:
-            self.cams[camera_name]["presets"][
-                (getattr(preset, "Name") or f"preset {preset['token']}").lower()
-            ] = preset["token"]
+            # Ensure preset name is a Unicode string and handle UTF-8 characters correctly
+            preset_name = getattr(preset, "Name") or f"preset {preset['token']}"
+
+            if isinstance(preset_name, bytes):
+                preset_name = preset_name.decode("utf-8")
+
+            # Convert to lowercase while preserving UTF-8 characters
+            preset_name_lower = preset_name.lower()
+            self.cams[camera_name]["presets"][preset_name_lower] = preset["token"]
 
         # get list of supported features
         supported_features = []
@@ -381,7 +400,10 @@ class OnvifController:
                             f"Disabling autotracking zooming for {camera_name}: Absolute zoom not supported. Exception: {e}"
                         )
 
-        if self.cams[camera_name]["video_source_token"] is not None:
+        if (
+            self.cams[camera_name]["video_source_token"] is not None
+            and imaging is not None
+        ):
             try:
                 imaging_capabilities = await imaging.GetImagingSettings(
                     {"VideoSourceToken": self.cams[camera_name]["video_source_token"]}
@@ -421,6 +443,7 @@ class OnvifController:
         if (
             "focus" in self.cams[camera_name]["features"]
             and self.cams[camera_name]["video_source_token"]
+            and self.cams[camera_name]["imaging"] is not None
         ):
             try:
                 stop_request = self.cams[camera_name]["imaging"].create_type("Stop")
@@ -555,6 +578,11 @@ class OnvifController:
         self.cams[camera_name]["active"] = False
 
     async def _move_to_preset(self, camera_name: str, preset: str) -> None:
+        if isinstance(preset, bytes):
+            preset = preset.decode("utf-8")
+
+        preset = preset.lower()
+
         if preset not in self.cams[camera_name]["presets"]:
             logger.error(f"{preset} is not a valid preset for {camera_name}")
             return
@@ -648,6 +676,7 @@ class OnvifController:
         if (
             "focus" not in self.cams[camera_name]["features"]
             or not self.cams[camera_name]["video_source_token"]
+            or self.cams[camera_name]["imaging"] is None
         ):
             logger.error(f"{camera_name} does not support ONVIF continuous focus.")
             return
diff --git a/frigate/record/cleanup.py b/frigate/record/cleanup.py
index b0359e71d..94dd43eba 100644
--- a/frigate/record/cleanup.py
+++ b/frigate/record/cleanup.py
@@ -14,7 +14,8 @@ from frigate.config import CameraConfig, FrigateConfig, RetainModeEnum
 from frigate.const import CACHE_DIR, CLIPS_DIR, MAX_WAL_SIZE, RECORD_DIR
 from frigate.models import Previews, Recordings, ReviewSegment, UserReviewStatus
 from frigate.record.util import remove_empty_directories, sync_recordings
-from frigate.util.builtin import clear_and_unlink, get_tomorrow_at_time
+from frigate.util.builtin import clear_and_unlink
+from frigate.util.time import get_tomorrow_at_time
 
 logger = logging.getLogger(__name__)
 
@@ -118,6 +119,7 @@ class RecordingCleanup(threading.Thread):
                 Recordings.path,
                 Recordings.objects,
                 Recordings.motion,
+                Recordings.dBFS,
             )
             .where(
                 (Recordings.camera == config.name)
@@ -125,6 +127,7 @@ class RecordingCleanup(threading.Thread):
                     (
                         (Recordings.end_time < continuous_expire_date)
                         & (Recordings.motion == 0)
+                        & (Recordings.dBFS == 0)
                     )
                     | (Recordings.end_time < motion_expire_date)
                 )
@@ -180,7 +183,12 @@ class RecordingCleanup(threading.Thread):
             # Delete recordings outside of the retention window or based on the retention mode
             if (
                 not keep
-                or (mode == RetainModeEnum.motion and recording.motion == 0)
+                or (
+                    mode == RetainModeEnum.motion
+                    and recording.motion == 0
+                    and recording.objects == 0
+                    and recording.dBFS == 0
+                )
                 or (mode == RetainModeEnum.active_objects and recording.objects == 0)
             ):
                 Path(recording.path).unlink(missing_ok=True)
diff --git a/frigate/record/export.py b/frigate/record/export.py
index 1d56baf15..d4b49bb4b 100644
--- a/frigate/record/export.py
+++ b/frigate/record/export.py
@@ -28,7 +28,7 @@ from frigate.ffmpeg_presets import (
     parse_preset_hardware_acceleration_encode,
 )
 from frigate.models import Export, Previews, Recordings
-from frigate.util.builtin import is_current_hour
+from frigate.util.time import is_current_hour
 
 logger = logging.getLogger(__name__)
 
diff --git a/frigate/record/maintainer.py b/frigate/record/maintainer.py
index 7938df31f..25c9d2cff 100644
--- a/frigate/record/maintainer.py
+++ b/frigate/record/maintainer.py
@@ -57,14 +57,25 @@ class SegmentInfo:
         self.average_dBFS = average_dBFS
 
     def should_discard_segment(self, retain_mode: RetainModeEnum) -> bool:
-        return (
-            retain_mode == RetainModeEnum.motion
-            and self.motion_count == 0
-            and self.average_dBFS == 0
-        ) or (
-            retain_mode == RetainModeEnum.active_objects
-            and self.active_object_count == 0
-        )
+        keep = False
+
+        # all mode should never discard
+        if retain_mode == RetainModeEnum.all:
+            keep = True
+
+        # motion mode should keep if motion or audio is detected
+        if (
+            not keep
+            and retain_mode == RetainModeEnum.motion
+            and (self.motion_count > 0 or self.average_dBFS != 0)
+        ):
+            keep = True
+
+        # active objects mode should keep if any active objects are detected
+        if not keep and self.active_object_count > 0:
+            keep = True
+
+        return not keep
 
 
 class RecordingMaintainer(threading.Thread):
@@ -86,6 +97,7 @@ class RecordingMaintainer(threading.Thread):
         self.object_recordings_info: dict[str, list] = defaultdict(list)
         self.audio_recordings_info: dict[str, list] = defaultdict(list)
         self.end_time_cache: dict[str, Tuple[datetime.datetime, float]] = {}
+        self.unexpected_cache_files_logged: bool = False
 
     async def move_files(self) -> None:
         cache_files = [
@@ -101,7 +113,14 @@ class RecordingMaintainer(threading.Thread):
         for cache in cache_files:
             cache_path = os.path.join(CACHE_DIR, cache)
             basename = os.path.splitext(cache)[0]
-            camera, date = basename.rsplit("@", maxsplit=1)
+            try:
+                camera, date = basename.rsplit("@", maxsplit=1)
+            except ValueError:
+                if not self.unexpected_cache_files_logged:
+                    logger.warning("Skipping unexpected files in cache")
+                    self.unexpected_cache_files_logged = True
+                continue
+
             start_time = datetime.datetime.strptime(
                 date, CACHE_SEGMENT_FORMAT
             ).astimezone(datetime.timezone.utc)
@@ -153,7 +172,13 @@ class RecordingMaintainer(threading.Thread):
 
             cache_path = os.path.join(CACHE_DIR, cache)
             basename = os.path.splitext(cache)[0]
-            camera, date = basename.rsplit("@", maxsplit=1)
+            try:
+                camera, date = basename.rsplit("@", maxsplit=1)
+            except ValueError:
+                if not self.unexpected_cache_files_logged:
+                    logger.warning("Skipping unexpected files in cache")
+                    self.unexpected_cache_files_logged = True
+                continue
 
             # important that start_time is utc because recordings are stored and compared in utc
             start_time = datetime.datetime.strptime(
@@ -348,63 +373,10 @@ class RecordingMaintainer(threading.Thread):
         elif record_config.motion.days > 0:
             highest = "motion"
 
-        # continuous / motion recording is not enabled
-        if highest is None:
-            # if the cached segment overlaps with the review items:
-            overlaps = False
-            for review in reviews:
-                severity = SeverityEnum[review.severity]
-
-                # if the review item starts in the future, stop checking review items
-                # and remove this segment
-                if (
-                    review.start_time - record_config.get_review_pre_capture(severity)
-                ) > end_time.timestamp():
-                    overlaps = False
-                    break
-
-                # if the review item is in progress or ends after the recording starts, keep it
-                # and stop looking at review items
-                if (
-                    review.end_time is None
-                    or (
-                        review.end_time
-                        + record_config.get_review_post_capture(severity)
-                    )
-                    >= start_time.timestamp()
-                ):
-                    overlaps = True
-                    break
-
-            if overlaps:
-                record_mode = (
-                    record_config.alerts.retain.mode
-                    if review.severity == "alert"
-                    else record_config.detections.retain.mode
-                )
-                # move from cache to recordings immediately
-                return await self.move_segment(
-                    camera,
-                    start_time,
-                    end_time,
-                    duration,
-                    cache_path,
-                    record_mode,
-                )
-            # if it doesn't overlap with an review item, go ahead and drop the segment
-            # if it ends more than the configured pre_capture for the camera
-            else:
-                camera_info = self.object_recordings_info[camera]
-                most_recently_processed_frame_time = (
-                    camera_info[-1][0] if len(camera_info) > 0 else 0
-                )
-                retain_cutoff = datetime.datetime.fromtimestamp(
-                    most_recently_processed_frame_time - record_config.event_pre_capture
-                ).astimezone(datetime.timezone.utc)
-                if end_time < retain_cutoff:
-                    self.drop_segment(cache_path)
-        # continuous / motion is enabled
-        else:
+        # if we have continuous or motion recording enabled
+        # we should first just check if this segment matches that
+        # and avoid any DB calls
+        if highest is not None:
             # assume that empty means the relevant recording info has not been received yet
             camera_info = self.object_recordings_info[camera]
             most_recently_processed_frame_time = (
@@ -427,6 +399,59 @@ class RecordingMaintainer(threading.Thread):
                     camera, start_time, end_time, duration, cache_path, record_mode
                 )
 
+        # we fell through the continuous / motion check, so we need to check the review items
+        # if the cached segment overlaps with the review items:
+        overlaps = False
+        for review in reviews:
+            severity = SeverityEnum[review.severity]
+
+            # if the review item starts in the future, stop checking review items
+            # and remove this segment
+            if (
+                review.start_time - record_config.get_review_pre_capture(severity)
+            ) > end_time.timestamp():
+                overlaps = False
+                break
+
+            # if the review item is in progress or ends after the recording starts, keep it
+            # and stop looking at review items
+            if (
+                review.end_time is None
+                or (review.end_time + record_config.get_review_post_capture(severity))
+                >= start_time.timestamp()
+            ):
+                overlaps = True
+                break
+
+        if overlaps:
+            record_mode = (
+                record_config.alerts.retain.mode
+                if review.severity == "alert"
+                else record_config.detections.retain.mode
+            )
+            # move from cache to recordings immediately
+            return await self.move_segment(
+                camera,
+                start_time,
+                end_time,
+                duration,
+                cache_path,
+                record_mode,
+            )
+        # if it doesn't overlap with an review item, go ahead and drop the segment
+        # if it ends more than the configured pre_capture for the camera
+        # BUT only if continuous/motion is NOT enabled (otherwise wait for processing)
+        elif highest is None:
+            camera_info = self.object_recordings_info[camera]
+            most_recently_processed_frame_time = (
+                camera_info[-1][0] if len(camera_info) > 0 else 0
+            )
+            retain_cutoff = datetime.datetime.fromtimestamp(
+                most_recently_processed_frame_time - record_config.event_pre_capture
+            ).astimezone(datetime.timezone.utc)
+            if end_time < retain_cutoff:
+                self.drop_segment(cache_path)
+
     def segment_stats(
         self, camera: str, start_time: datetime.datetime, end_time: datetime.datetime
     ) -> SegmentInfo:
diff --git a/frigate/review/maintainer.py b/frigate/review/maintainer.py
index 40d7b64cf..917c0c5ac 100644
--- a/frigate/review/maintainer.py
+++ b/frigate/review/maintainer.py
@@ -407,6 +407,19 @@ class ReviewSegmentMaintainer(threading.Thread):
                 segment.last_detection_time = frame_time
 
             for object in activity.get_all_objects():
+                # Alert-level objects should always be added (they extend/upgrade the segment)
+                # Detection-level objects should only be added if:
+                #   - The segment is a detection segment (matching severity), OR
+                #   - The segment is an alert AND the object started before the alert ended
+                #     (objects starting after will be in the new detection segment)
+                is_alert_object = object in activity.categorized_objects["alerts"]
+
+                if not is_alert_object and segment.severity == SeverityEnum.alert:
+                    # This is a detection-level object
+                    # Only add if it started during the alert's active period
+                    if object["start_time"] > segment.last_alert_time:
+                        continue
+
                 if not object["sub_label"]:
                     segment.detections[object["id"]] = object["label"]
                 elif object["sub_label"][0] in self.config.model.all_attributes:
diff --git a/frigate/stats/util.py b/frigate/stats/util.py
index 1f92ffbe0..410350d96 100644
--- a/frigate/stats/util.py
+++ b/frigate/stats/util.py
@@ -25,6 +25,7 @@ from frigate.util.services import (
     get_intel_gpu_stats,
     get_jetson_stats,
     get_nvidia_gpu_stats,
+    get_openvino_npu_stats,
     get_rockchip_gpu_stats,
     get_rockchip_npu_stats,
     is_vaapi_amd_driver,
@@ -41,11 +42,10 @@ def get_latest_version(config: FrigateConfig) -> str:
             "https://api.github.com/repos/blakeblackshear/frigate/releases/latest",
             timeout=10,
         )
+        response = request.json()
     except (RequestException, JSONDecodeError):
         return "unknown"
 
-    response = request.json()
-
     if request.ok and response and "tag_name" in response:
         return str(response.get("tag_name").replace("v", ""))
     else:
@@ -247,6 +247,10 @@ async def set_npu_usages(config: FrigateConfig, all_stats: dict[str, Any]) -> No
             # Rockchip NPU usage
             rk_usage = get_rockchip_npu_stats()
             stats["rockchip"] = rk_usage
+        elif detector.type == "openvino" and detector.device == "NPU":
+            # OpenVINO NPU usage
+            ov_usage = get_openvino_npu_stats()
+            stats["openvino"] = ov_usage
 
     if stats:
         all_stats["npu_usages"] = stats
@@ -357,7 +361,7 @@ def stats_snapshot(
             stats["embeddings"]["review_description_speed"] = round(
                 embeddings_metrics.review_desc_speed.value * 1000, 2
             )
-            stats["embeddings"]["review_descriptions"] = round(
+            stats["embeddings"]["review_description_events_per_second"] = round(
                 embeddings_metrics.review_desc_dps.value, 2
             )
 
@@ -365,7 +369,7 @@ def stats_snapshot(
             stats["embeddings"]["object_description_speed"] = round(
                 embeddings_metrics.object_desc_speed.value * 1000, 2
             )
-            stats["embeddings"]["object_descriptions"] = round(
+            stats["embeddings"]["object_description_events_per_second"] = round(
                 embeddings_metrics.object_desc_dps.value, 2
             )
 
@@ -373,7 +377,7 @@ def stats_snapshot(
             stats["embeddings"][f"{key}_classification_speed"] = round(
                 embeddings_metrics.classification_speeds[key].value * 1000, 2
             )
-            stats["embeddings"][f"{key}_classification"] = round(
+            stats["embeddings"][f"{key}_classification_events_per_second"] = round(
                 embeddings_metrics.classification_cps[key].value, 2
             )
 
diff --git a/frigate/storage.py b/frigate/storage.py
index 611412e1e..feabe06ff 100644
--- a/frigate/storage.py
+++ b/frigate/storage.py
@@ -5,7 +5,7 @@ import shutil
 import threading
 from pathlib import Path
 
-from peewee import fn
+from peewee import SQL, fn
 
 from frigate.config import FrigateConfig
 from frigate.const import RECORD_DIR
@@ -44,13 +44,19 @@ class StorageMaintainer(threading.Thread):
                     )
                 }
 
-                # calculate MB/hr
+                # calculate MB/hr from last 100 segments
                 try:
-                    bandwidth = round(
-                        Recordings.select(fn.AVG(bandwidth_equation))
+                    # Subquery to get last 100 segments, then average their bandwidth
+                    last_100 = (
+                        Recordings.select(bandwidth_equation.alias("bw"))
                         .where(Recordings.camera == camera, Recordings.segment_size > 0)
+                        .order_by(Recordings.start_time.desc())
                         .limit(100)
-                        .scalar()
+                        .alias("recent")
+                    )
+
+                    bandwidth = round(
+                        Recordings.select(fn.AVG(SQL("bw"))).from_(last_100).scalar()
                         * 3600,
                         2,
                     )
@@ -113,6 +119,7 @@ class StorageMaintainer(threading.Thread):
         recordings: Recordings = (
             Recordings.select(
                 Recordings.id,
+                Recordings.camera,
                 Recordings.start_time,
                 Recordings.end_time,
                 Recordings.segment_size,
@@ -137,7 +144,7 @@ class StorageMaintainer(threading.Thread):
         )
 
         event_start = 0
-        deleted_recordings = set()
+        deleted_recordings = []
         for recording in recordings:
             # check if 1 hour of storage has been reclaimed
             if deleted_segments_size > hourly_bandwidth:
@@ -172,7 +179,7 @@ class StorageMaintainer(threading.Thread):
             if not keep:
                 try:
                     clear_and_unlink(Path(recording.path), missing_ok=False)
-                    deleted_recordings.add(recording.id)
+                    deleted_recordings.append(recording)
                     deleted_segments_size += recording.segment_size
                 except FileNotFoundError:
                     # this file was not found so we must assume no space was cleaned up
@@ -186,6 +193,9 @@ class StorageMaintainer(threading.Thread):
             recordings = (
                 Recordings.select(
                     Recordings.id,
+                    Recordings.camera,
+                    Recordings.start_time,
+                    Recordings.end_time,
                     Recordings.path,
                     Recordings.segment_size,
                 )
@@ -201,7 +211,7 @@ class StorageMaintainer(threading.Thread):
                 try:
                     clear_and_unlink(Path(recording.path), missing_ok=False)
                     deleted_segments_size += recording.segment_size
-                    deleted_recordings.add(recording.id)
+                    deleted_recordings.append(recording)
                 except FileNotFoundError:
                     # this file was not found so we must assume no space was cleaned up
                     pass
@@ -211,7 +221,50 @@ class StorageMaintainer(threading.Thread):
         logger.debug(f"Expiring {len(deleted_recordings)} recordings")
         # delete up to 100,000 at a time
         max_deletes = 100000
-        deleted_recordings_list = list(deleted_recordings)
+
+        # Update has_clip for events that overlap with deleted recordings
+        if deleted_recordings:
+            # Group deleted recordings by camera
+            camera_recordings = {}
+            for recording in deleted_recordings:
+                if recording.camera not in camera_recordings:
+                    camera_recordings[recording.camera] = {
+                        "min_start": recording.start_time,
+                        "max_end": recording.end_time,
+                    }
+                else:
+                    camera_recordings[recording.camera]["min_start"] = min(
+                        camera_recordings[recording.camera]["min_start"],
+                        recording.start_time,
+                    )
+                    camera_recordings[recording.camera]["max_end"] = max(
+                        camera_recordings[recording.camera]["max_end"],
+                        recording.end_time,
+                    )
+
+            # Find all events that overlap with deleted recordings time range per camera
+            events_to_update = []
+            for camera, time_range in camera_recordings.items():
+                overlapping_events = Event.select(Event.id).where(
+                    Event.camera == camera,
+                    Event.has_clip == True,
+                    Event.start_time < time_range["max_end"],
+                    Event.end_time > time_range["min_start"],
+                )
+
+                for event in overlapping_events:
+                    events_to_update.append(event.id)
+
+            # Update has_clip to False for overlapping events
+            if events_to_update:
+                for i in range(0, len(events_to_update), max_deletes):
+                    batch = events_to_update[i : i + max_deletes]
+                    Event.update(has_clip=False).where(Event.id << batch).execute()
+                logger.debug(
+                    f"Updated has_clip to False for {len(events_to_update)} events"
+                )
+
+        deleted_recordings_list = [r.id for r in deleted_recordings]
         for i in range(0, len(deleted_recordings_list), max_deletes):
             Recordings.delete().where(
                 Recordings.id << deleted_recordings_list[i : i + max_deletes]
diff --git a/frigate/test/http_api/base_http_test.py b/frigate/test/http_api/base_http_test.py
index 99c44d1c0..16ded63f8 100644
--- a/frigate/test/http_api/base_http_test.py
+++ b/frigate/test/http_api/base_http_test.py
@@ -3,6 +3,8 @@ import logging
 import os
 import unittest
 
+from fastapi import Request
+from fastapi.testclient import TestClient
 from peewee_migrate import Router
 from playhouse.sqlite_ext import SqliteExtDatabase
 from playhouse.sqliteq import SqliteQueueDatabase
@@ -16,6 +18,20 @@ from frigate.review.types import SeverityEnum
 from frigate.test.const import TEST_DB, TEST_DB_CLEANUPS
 
 
+class AuthTestClient(TestClient):
+    """TestClient that automatically adds auth headers to all requests."""
+
+    def request(self, *args, **kwargs):
+        # Add default auth headers if not already present
+        headers = kwargs.get("headers") or {}
+        if "remote-user" not in headers:
+            headers["remote-user"] = "admin"
+        if "remote-role" not in headers:
+            headers["remote-role"] = "admin"
+        kwargs["headers"] = headers
+        return super().request(*args, **kwargs)
+
+
 class BaseTestHttp(unittest.TestCase):
     def setUp(self, models):
         # setup clean database for each test run
@@ -113,7 +129,9 @@ class BaseTestHttp(unittest.TestCase):
             pass
 
     def create_app(self, stats=None, event_metadata_publisher=None):
-        return create_fastapi_app(
+        from frigate.api.auth import get_allowed_cameras_for_filter, get_current_user
+
+        app = create_fastapi_app(
             FrigateConfig(**self.minimal_config),
             self.db,
             None,
@@ -123,13 +141,38 @@ class BaseTestHttp(unittest.TestCase):
             stats,
             event_metadata_publisher,
             None,
+            enforce_default_admin=False,
         )
 
+        # Default test mocks for authentication
+        # Tests can override these in their setUp if needed
+        # This mock uses headers set by AuthTestClient
+        async def mock_get_current_user(request: Request):
+            username = request.headers.get("remote-user")
+            role = request.headers.get("remote-role")
+            if not username or not role:
+                from fastapi.responses import JSONResponse
+
+                return JSONResponse(
+                    content={"message": "No authorization headers."}, status_code=401
+                )
+            return {"username": username, "role": role}
+
+        async def mock_get_allowed_cameras_for_filter(request: Request):
+            return list(self.minimal_config.get("cameras", {}).keys())
+
+        app.dependency_overrides[get_current_user] = mock_get_current_user
+        app.dependency_overrides[get_allowed_cameras_for_filter] = (
+            mock_get_allowed_cameras_for_filter
+        )
+
+        return app
+
     def insert_mock_event(
         self,
         id: str,
-        start_time: float = datetime.datetime.now().timestamp(),
-        end_time: float = datetime.datetime.now().timestamp() + 20,
+        start_time: float | None = None,
+        end_time: float | None = None,
         has_clip: bool = True,
         top_score: int = 100,
         score: int = 0,
@@ -137,6 +180,11 @@ class BaseTestHttp(unittest.TestCase):
         camera: str = "front_door",
     ) -> Event:
         """Inserts a basic event model with a given id."""
+        if start_time is None:
+            start_time = datetime.datetime.now().timestamp()
+        if end_time is None:
+            end_time = start_time + 20
+
         return Event.insert(
             id=id,
             label="Mock",
@@ -186,11 +234,16 @@ class BaseTestHttp(unittest.TestCase):
     def insert_mock_recording(
         self,
         id: str,
-        start_time: float = datetime.datetime.now().timestamp(),
-        end_time: float = datetime.datetime.now().timestamp() + 20,
+        start_time: float | None = None,
+        end_time: float | None = None,
         motion: int = 0,
     ) -> Event:
         """Inserts a recording model with a given id."""
+        if start_time is None:
+            start_time = datetime.datetime.now().timestamp()
+        if end_time is None:
+            end_time = start_time + 20
+
         return Recordings.insert(
             id=id,
             path=id,
diff --git a/frigate/test/http_api/test_http_app.py b/frigate/test/http_api/test_http_app.py
index e7785a9d7..b04b1cf55 100644
--- a/frigate/test/http_api/test_http_app.py
+++ b/frigate/test/http_api/test_http_app.py
@@ -1,10 +1,8 @@
 from unittest.mock import Mock
 
-from fastapi.testclient import TestClient
-
 from frigate.models import Event, Recordings, ReviewSegment
 from frigate.stats.emitter import StatsEmitter
-from frigate.test.http_api.base_http_test import BaseTestHttp
+from frigate.test.http_api.base_http_test import AuthTestClient, BaseTestHttp
 
 
 class TestHttpApp(BaseTestHttp):
@@ -20,7 +18,7 @@ class TestHttpApp(BaseTestHttp):
         stats.get_latest_stats.return_value = self.test_stats
         app = super().create_app(stats)
 
-        with TestClient(app) as client:
+        with AuthTestClient(app) as client:
             response = client.get("/stats")
             response_json = response.json()
             assert response_json == self.test_stats
diff --git a/frigate/test/http_api/test_http_camera_access.py b/frigate/test/http_api/test_http_camera_access.py
index db5446bff..5cd115417 100644
--- a/frigate/test/http_api/test_http_camera_access.py
+++ b/frigate/test/http_api/test_http_camera_access.py
@@ -1,14 +1,13 @@
 from unittest.mock import patch
 
 from fastapi import HTTPException, Request
-from fastapi.testclient import TestClient
 
 from frigate.api.auth import (
     get_allowed_cameras_for_filter,
     get_current_user,
 )
 from frigate.models import Event, Recordings, ReviewSegment
-from frigate.test.http_api.base_http_test import BaseTestHttp
+from frigate.test.http_api.base_http_test import AuthTestClient, BaseTestHttp
 
 
 class TestCameraAccessEventReview(BaseTestHttp):
@@ -16,9 +15,17 @@ class TestCameraAccessEventReview(BaseTestHttp):
         super().setUp([Event, ReviewSegment, Recordings])
         self.app = super().create_app()
 
-        # Mock get_current_user to return valid user for all tests
-        async def mock_get_current_user():
-            return {"username": "test_user", "role": "user"}
+        # Mock get_current_user for all tests
+        async def mock_get_current_user(request: Request):
+            username = request.headers.get("remote-user")
+            role = request.headers.get("remote-role")
+            if not username or not role:
+                from fastapi.responses import JSONResponse
+
+                return JSONResponse(
+                    content={"message": "No authorization headers."}, status_code=401
+                )
+            return {"username": username, "role": role}
 
         self.app.dependency_overrides[get_current_user] = mock_get_current_user
 
@@ -30,21 +37,25 @@ class TestCameraAccessEventReview(BaseTestHttp):
         super().insert_mock_event("event1", camera="front_door")
         super().insert_mock_event("event2", camera="back_door")
 
-        self.app.dependency_overrides[get_allowed_cameras_for_filter] = lambda: [
-            "front_door"
-        ]
-        with TestClient(self.app) as client:
+        async def mock_cameras(request: Request):
+            return ["front_door"]
+
+        self.app.dependency_overrides[get_allowed_cameras_for_filter] = mock_cameras
+        with AuthTestClient(self.app) as client:
             resp = client.get("/events")
             assert resp.status_code == 200
             ids = [e["id"] for e in resp.json()]
             assert "event1" in ids
             assert "event2" not in ids
 
-        self.app.dependency_overrides[get_allowed_cameras_for_filter] = lambda: [
-            "front_door",
-            "back_door",
-        ]
-        with TestClient(self.app) as client:
+        async def mock_cameras(request: Request):
+            return [
+                "front_door",
+                "back_door",
+            ]
+
+        self.app.dependency_overrides[get_allowed_cameras_for_filter] = mock_cameras
+        with AuthTestClient(self.app) as client:
             resp = client.get("/events")
             assert resp.status_code == 200
             ids = [e["id"] for e in resp.json()]
@@ -54,21 +65,25 @@ class TestCameraAccessEventReview(BaseTestHttp):
         super().insert_mock_review_segment("rev1", camera="front_door")
         super().insert_mock_review_segment("rev2", camera="back_door")
 
-        self.app.dependency_overrides[get_allowed_cameras_for_filter] = lambda: [
-            "front_door"
-        ]
-        with TestClient(self.app) as client:
+        async def mock_cameras(request: Request):
+            return ["front_door"]
+
+        self.app.dependency_overrides[get_allowed_cameras_for_filter] = mock_cameras
+        with AuthTestClient(self.app) as client:
             resp = client.get("/review")
             assert resp.status_code == 200
             ids = [r["id"] for r in resp.json()]
             assert "rev1" in ids
             assert "rev2" not in ids
 
-        self.app.dependency_overrides[get_allowed_cameras_for_filter] = lambda: [
-            "front_door",
-            "back_door",
-        ]
-        with TestClient(self.app) as client:
+        async def mock_cameras(request: Request):
+            return [
+                "front_door",
+                "back_door",
+            ]
+
+        self.app.dependency_overrides[get_allowed_cameras_for_filter] = mock_cameras
+        with AuthTestClient(self.app) as client:
             resp = client.get("/review")
             assert resp.status_code == 200
             ids = [r["id"] for r in resp.json()]
@@ -84,7 +99,7 @@ class TestCameraAccessEventReview(BaseTestHttp):
             raise HTTPException(status_code=403, detail="Access denied")
 
         with patch("frigate.api.event.require_camera_access", mock_require_allowed):
-            with TestClient(self.app) as client:
+            with AuthTestClient(self.app) as client:
                 resp = client.get("/events/event1")
                 assert resp.status_code == 200
                 assert resp.json()["id"] == "event1"
@@ -94,7 +109,7 @@ class TestCameraAccessEventReview(BaseTestHttp):
             raise HTTPException(status_code=403, detail="Access denied")
 
         with patch("frigate.api.event.require_camera_access", mock_require_disallowed):
-            with TestClient(self.app) as client:
+            with AuthTestClient(self.app) as client:
                 resp = client.get("/events/event1")
                 assert resp.status_code == 403
 
@@ -108,7 +123,7 @@ class TestCameraAccessEventReview(BaseTestHttp):
             raise HTTPException(status_code=403, detail="Access denied")
 
         with patch("frigate.api.review.require_camera_access", mock_require_allowed):
-            with TestClient(self.app) as client:
+            with AuthTestClient(self.app) as client:
                 resp = client.get("/review/rev1")
                 assert resp.status_code == 200
                 assert resp.json()["id"] == "rev1"
@@ -118,7 +133,7 @@ class TestCameraAccessEventReview(BaseTestHttp):
             raise HTTPException(status_code=403, detail="Access denied")
 
         with patch("frigate.api.review.require_camera_access", mock_require_disallowed):
-            with TestClient(self.app) as client:
+            with AuthTestClient(self.app) as client:
                 resp = client.get("/review/rev1")
                 assert resp.status_code == 403
 
@@ -126,21 +141,25 @@ class TestCameraAccessEventReview(BaseTestHttp):
         super().insert_mock_event("event1", camera="front_door")
         super().insert_mock_event("event2", camera="back_door")
 
-        self.app.dependency_overrides[get_allowed_cameras_for_filter] = lambda: [
-            "front_door"
-        ]
-        with TestClient(self.app) as client:
+        async def mock_cameras(request: Request):
+            return ["front_door"]
+
+        self.app.dependency_overrides[get_allowed_cameras_for_filter] = mock_cameras
+        with AuthTestClient(self.app) as client:
             resp = client.get("/events", params={"cameras": "all"})
             assert resp.status_code == 200
             ids = [e["id"] for e in resp.json()]
             assert "event1" in ids
             assert "event2" not in ids
 
-        self.app.dependency_overrides[get_allowed_cameras_for_filter] = lambda: [
-            "front_door",
-            "back_door",
-        ]
-        with TestClient(self.app) as client:
+        async def mock_cameras(request: Request):
+            return [
+                "front_door",
+                "back_door",
+            ]
+
+        self.app.dependency_overrides[get_allowed_cameras_for_filter] = mock_cameras
+        with AuthTestClient(self.app) as client:
             resp = client.get("/events", params={"cameras": "all"})
             assert resp.status_code == 200
             ids = [e["id"] for e in resp.json()]
@@ -150,20 +169,24 @@ class TestCameraAccessEventReview(BaseTestHttp):
         super().insert_mock_event("event1", camera="front_door")
         super().insert_mock_event("event2", camera="back_door")
 
-        self.app.dependency_overrides[get_allowed_cameras_for_filter] = lambda: [
-            "front_door"
-        ]
-        with TestClient(self.app) as client:
+        async def mock_cameras(request: Request):
+            return ["front_door"]
+
+        self.app.dependency_overrides[get_allowed_cameras_for_filter] = mock_cameras
+        with AuthTestClient(self.app) as client:
             resp = client.get("/events/summary")
             assert resp.status_code == 200
             summary_list = resp.json()
             assert len(summary_list) == 1
 
-        self.app.dependency_overrides[get_allowed_cameras_for_filter] = lambda: [
-            "front_door",
-            "back_door",
-        ]
-        with TestClient(self.app) as client:
+        async def mock_cameras(request: Request):
+            return [
+                "front_door",
+                "back_door",
+            ]
+
+        self.app.dependency_overrides[get_allowed_cameras_for_filter] = mock_cameras
+        with AuthTestClient(self.app) as client:
             resp = client.get("/events/summary")
             summary_list = resp.json()
             assert len(summary_list) == 2
diff --git a/frigate/test/http_api/test_http_event.py b/frigate/test/http_api/test_http_event.py
index 2ef00aa05..fc895fabf 100644
--- a/frigate/test/http_api/test_http_event.py
+++ b/frigate/test/http_api/test_http_event.py
@@ -2,14 +2,13 @@ from datetime import datetime
 from typing import Any
 from unittest.mock import Mock
 
-from fastapi.testclient import TestClient
 from playhouse.shortcuts import model_to_dict
 
 from frigate.api.auth import get_allowed_cameras_for_filter, get_current_user
 from frigate.comms.event_metadata_updater import EventMetadataPublisher
 from frigate.models import Event, Recordings, ReviewSegment, Timeline
 from frigate.stats.emitter import StatsEmitter
-from frigate.test.http_api.base_http_test import BaseTestHttp
+from frigate.test.http_api.base_http_test import AuthTestClient, BaseTestHttp, Request
 from frigate.test.test_storage import _insert_mock_event
 
 
@@ -18,14 +17,26 @@ class TestHttpApp(BaseTestHttp):
         super().setUp([Event, Recordings, ReviewSegment, Timeline])
         self.app = super().create_app()
 
-        # Mock auth to bypass camera access for tests
-        async def mock_get_current_user(request: Any):
-            return {"username": "test_user", "role": "admin"}
+        # Mock get_current_user for all tests
+        async def mock_get_current_user(request: Request):
+            username = request.headers.get("remote-user")
+            role = request.headers.get("remote-role")
+            if not username or not role:
+                from fastapi.responses import JSONResponse
+
+                return JSONResponse(
+                    content={"message": "No authorization headers."}, status_code=401
+                )
+            return {"username": username, "role": role}
 
         self.app.dependency_overrides[get_current_user] = mock_get_current_user
-        self.app.dependency_overrides[get_allowed_cameras_for_filter] = lambda: [
-            "front_door"
-        ]
+
+        async def mock_get_allowed_cameras_for_filter(request: Request):
+            return ["front_door"]
+
+        self.app.dependency_overrides[get_allowed_cameras_for_filter] = (
+            mock_get_allowed_cameras_for_filter
+        )
 
     def tearDown(self):
         self.app.dependency_overrides.clear()
@@ -35,20 +46,20 @@ class TestHttpApp(BaseTestHttp):
     ###################################  GET /events Endpoint   #########################################################
     ####################################################################################################################
     def test_get_event_list_no_events(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             events = client.get("/events").json()
             assert len(events) == 0
 
     def test_get_event_list_no_match_event_id(self):
         id = "123456.random"
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_event(id)
             events = client.get("/events", params={"event_id": "abc"}).json()
             assert len(events) == 0
 
     def test_get_event_list_match_event_id(self):
         id = "123456.random"
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_event(id)
             events = client.get("/events", params={"event_id": id}).json()
             assert len(events) == 1
@@ -58,7 +69,7 @@ class TestHttpApp(BaseTestHttp):
         now = int(datetime.now().timestamp())
 
         id = "123456.random"
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_event(id, now, now + 1)
             events = client.get(
                 "/events", params={"max_length": 1, "min_length": 1}
@@ -69,7 +80,7 @@ class TestHttpApp(BaseTestHttp):
     def test_get_event_list_no_match_max_length(self):
         now = int(datetime.now().timestamp())
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             super().insert_mock_event(id, now, now + 2)
             events = client.get("/events", params={"max_length": 1}).json()
@@ -78,23 +89,24 @@ class TestHttpApp(BaseTestHttp):
     def test_get_event_list_no_match_min_length(self):
         now = int(datetime.now().timestamp())
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             super().insert_mock_event(id, now, now + 2)
             events = client.get("/events", params={"min_length": 3}).json()
             assert len(events) == 0
 
     def test_get_event_list_limit(self):
+        now = datetime.now().timestamp()
         id = "123456.random"
         id2 = "54321.random"
 
-        with TestClient(self.app) as client:
-            super().insert_mock_event(id)
+        with AuthTestClient(self.app) as client:
+            super().insert_mock_event(id, start_time=now + 1)
             events = client.get("/events").json()
             assert len(events) == 1
             assert events[0]["id"] == id
 
-            super().insert_mock_event(id2)
+            super().insert_mock_event(id2, start_time=now)
             events = client.get("/events").json()
             assert len(events) == 2
 
@@ -108,14 +120,14 @@ class TestHttpApp(BaseTestHttp):
     def test_get_event_list_no_match_has_clip(self):
         now = int(datetime.now().timestamp())
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             super().insert_mock_event(id, now, now + 2)
             events = client.get("/events", params={"has_clip": 0}).json()
             assert len(events) == 0
 
     def test_get_event_list_has_clip(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             super().insert_mock_event(id, has_clip=True)
             events = client.get("/events", params={"has_clip": 1}).json()
@@ -123,7 +135,7 @@ class TestHttpApp(BaseTestHttp):
             assert events[0]["id"] == id
 
     def test_get_event_list_sort_score(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             id2 = "54321.random"
             super().insert_mock_event(id, top_score=37, score=37, data={"score": 50})
@@ -133,7 +145,7 @@ class TestHttpApp(BaseTestHttp):
             assert events[0]["id"] == id2
             assert events[1]["id"] == id
 
-            events = client.get("/events", params={"sort": "score_des"}).json()
+            events = client.get("/events", params={"sort": "score_desc"}).json()
             assert len(events) == 2
             assert events[0]["id"] == id
             assert events[1]["id"] == id2
@@ -141,7 +153,7 @@ class TestHttpApp(BaseTestHttp):
     def test_get_event_list_sort_start_time(self):
         now = int(datetime.now().timestamp())
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             id2 = "54321.random"
             super().insert_mock_event(id, start_time=now + 3)
@@ -159,7 +171,7 @@ class TestHttpApp(BaseTestHttp):
     def test_get_good_event(self):
         id = "123456.random"
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_event(id)
             event = client.get(f"/events/{id}").json()
 
@@ -171,7 +183,7 @@ class TestHttpApp(BaseTestHttp):
         id = "123456.random"
         bad_id = "654321.other"
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_event(id)
             event_response = client.get(f"/events/{bad_id}")
             assert event_response.status_code == 404
@@ -180,7 +192,7 @@ class TestHttpApp(BaseTestHttp):
     def test_delete_event(self):
         id = "123456.random"
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_event(id)
             event = client.get(f"/events/{id}").json()
             assert event
@@ -193,7 +205,7 @@ class TestHttpApp(BaseTestHttp):
     def test_event_retention(self):
         id = "123456.random"
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_event(id)
             client.post(f"/events/{id}/retain", headers={"remote-role": "admin"})
             event = client.get(f"/events/{id}").json()
@@ -212,12 +224,11 @@ class TestHttpApp(BaseTestHttp):
         morning = 1656590400  # 06/30/2022 6 am (GMT)
         evening = 1656633600  # 06/30/2022 6 pm (GMT)
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_event(morning_id, morning)
             super().insert_mock_event(evening_id, evening)
             # both events come back
             events = client.get("/events").json()
-            print("events!!!", events)
             assert events
             assert len(events) == 2
             # morning event is excluded
@@ -248,7 +259,7 @@ class TestHttpApp(BaseTestHttp):
 
         mock_event_updater.publish.side_effect = update_event
 
-        with TestClient(app) as client:
+        with AuthTestClient(app) as client:
             super().insert_mock_event(id)
             new_sub_label_response = client.post(
                 f"/events/{id}/sub_label",
@@ -285,7 +296,7 @@ class TestHttpApp(BaseTestHttp):
 
         mock_event_updater.publish.side_effect = update_event
 
-        with TestClient(app) as client:
+        with AuthTestClient(app) as client:
             super().insert_mock_event(id)
             client.post(
                 f"/events/{id}/sub_label",
@@ -301,7 +312,7 @@ class TestHttpApp(BaseTestHttp):
     ####################################################################################################################
     def test_get_metrics(self):
         """ensure correct prometheus metrics api response"""
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             ts_start = datetime.now().timestamp()
             ts_end = ts_start + 30
             _insert_mock_event(
diff --git a/frigate/test/http_api/test_http_media.py b/frigate/test/http_api/test_http_media.py
new file mode 100644
index 000000000..6af3dd972
--- /dev/null
+++ b/frigate/test/http_api/test_http_media.py
@@ -0,0 +1,405 @@
+"""Unit tests for recordings/media API endpoints."""
+
+from datetime import datetime, timezone
+
+import pytz
+from fastapi import Request
+
+from frigate.api.auth import get_allowed_cameras_for_filter, get_current_user
+from frigate.models import Recordings
+from frigate.test.http_api.base_http_test import AuthTestClient, BaseTestHttp
+
+
+class TestHttpMedia(BaseTestHttp):
+    """Test media API endpoints, particularly recordings with DST handling."""
+
+    def setUp(self):
+        """Set up test fixtures."""
+        super().setUp([Recordings])
+        self.app = super().create_app()
+
+        # Mock get_current_user for all tests
+        async def mock_get_current_user(request: Request):
+            username = request.headers.get("remote-user")
+            role = request.headers.get("remote-role")
+            if not username or not role:
+                from fastapi.responses import JSONResponse
+
+                return JSONResponse(
+                    content={"message": "No authorization headers."}, status_code=401
+                )
+            return {"username": username, "role": role}
+
+        self.app.dependency_overrides[get_current_user] = mock_get_current_user
+
+        async def mock_get_allowed_cameras_for_filter(request: Request):
+            return ["front_door"]
+
+        self.app.dependency_overrides[get_allowed_cameras_for_filter] = (
+            mock_get_allowed_cameras_for_filter
+        )
+
+    def tearDown(self):
+        """Clean up after tests."""
+        self.app.dependency_overrides.clear()
+        super().tearDown()
+
+    def test_recordings_summary_across_dst_spring_forward(self):
+        """
+        Test recordings summary across spring DST transition (spring forward).
+
+        In 2024, DST in America/New_York transitions on March 10, 2024 at 2:00 AM
+        Clocks spring forward from 2:00 AM to 3:00 AM (EST to EDT)
+        """
+        tz = pytz.timezone("America/New_York")
+
+        # March 9, 2024 at 12:00 PM EST (before DST)
+        march_9_noon = tz.localize(datetime(2024, 3, 9, 12, 0, 0)).timestamp()
+
+        # March 10, 2024 at 12:00 PM EDT (after DST transition)
+        march_10_noon = tz.localize(datetime(2024, 3, 10, 12, 0, 0)).timestamp()
+
+        # March 11, 2024 at 12:00 PM EDT (after DST)
+        march_11_noon = tz.localize(datetime(2024, 3, 11, 12, 0, 0)).timestamp()
+
+        with AuthTestClient(self.app) as client:
+            # Insert recordings for each day
+            Recordings.insert(
+                id="recording_march_9",
+                path="/media/recordings/march_9.mp4",
+                camera="front_door",
+                start_time=march_9_noon,
+                end_time=march_9_noon + 3600,  # 1 hour recording
+                duration=3600,
+                motion=100,
+                objects=5,
+            ).execute()
+
+            Recordings.insert(
+                id="recording_march_10",
+                path="/media/recordings/march_10.mp4",
+                camera="front_door",
+                start_time=march_10_noon,
+                end_time=march_10_noon + 3600,
+                duration=3600,
+                motion=150,
+                objects=8,
+            ).execute()
+
+            Recordings.insert(
+                id="recording_march_11",
+                path="/media/recordings/march_11.mp4",
+                camera="front_door",
+                start_time=march_11_noon,
+                end_time=march_11_noon + 3600,
+                duration=3600,
+                motion=200,
+                objects=10,
+            ).execute()
+
+            # Test recordings summary with America/New_York timezone
+            response = client.get(
+                "/recordings/summary",
+                params={"timezone": "America/New_York", "cameras": "all"},
+            )
+
+            assert response.status_code == 200
+            summary = response.json()
+
+            # Verify we get exactly 3 days
+            assert len(summary) == 3, f"Expected 3 days, got {len(summary)}"
+
+            # Verify the correct dates are returned (API returns dict with True values)
+            assert "2024-03-09" in summary, f"Expected 2024-03-09 in {summary}"
+            assert "2024-03-10" in summary, f"Expected 2024-03-10 in {summary}"
+            assert "2024-03-11" in summary, f"Expected 2024-03-11 in {summary}"
+            assert summary["2024-03-09"] is True
+            assert summary["2024-03-10"] is True
+            assert summary["2024-03-11"] is True
+
+    def test_recordings_summary_across_dst_fall_back(self):
+        """
+        Test recordings summary across fall DST transition (fall back).
+
+        In 2024, DST in America/New_York transitions on November 3, 2024 at 2:00 AM
+        Clocks fall back from 2:00 AM to 1:00 AM (EDT to EST)
+        """
+        tz = pytz.timezone("America/New_York")
+
+        # November 2, 2024 at 12:00 PM EDT (before DST transition)
+        nov_2_noon = tz.localize(datetime(2024, 11, 2, 12, 0, 0)).timestamp()
+
+        # November 3, 2024 at 12:00 PM EST (after DST transition)
+        # Need to specify is_dst=False to get the time after fall back
+        nov_3_noon = tz.localize(
+            datetime(2024, 11, 3, 12, 0, 0), is_dst=False
+        ).timestamp()
+
+        # November 4, 2024 at 12:00 PM EST (after DST)
+        nov_4_noon = tz.localize(datetime(2024, 11, 4, 12, 0, 0)).timestamp()
+
+        with AuthTestClient(self.app) as client:
+            # Insert recordings for each day
+            Recordings.insert(
+                id="recording_nov_2",
+                path="/media/recordings/nov_2.mp4",
+                camera="front_door",
+                start_time=nov_2_noon,
+                end_time=nov_2_noon + 3600,
+                duration=3600,
+                motion=100,
+                objects=5,
+            ).execute()
+
+            Recordings.insert(
+                id="recording_nov_3",
+                path="/media/recordings/nov_3.mp4",
+                camera="front_door",
+                start_time=nov_3_noon,
+                end_time=nov_3_noon + 3600,
+                duration=3600,
+                motion=150,
+                objects=8,
+            ).execute()
+
+            Recordings.insert(
+                id="recording_nov_4",
+                path="/media/recordings/nov_4.mp4",
+                camera="front_door",
+                start_time=nov_4_noon,
+                end_time=nov_4_noon + 3600,
+                duration=3600,
+                motion=200,
+                objects=10,
+            ).execute()
+
+            # Test recordings summary with America/New_York timezone
+            response = client.get(
+                "/recordings/summary",
+                params={"timezone": "America/New_York", "cameras": "all"},
+            )
+
+            assert response.status_code == 200
+            summary = response.json()
+
+            # Verify we get exactly 3 days
+            assert len(summary) == 3, f"Expected 3 days, got {len(summary)}"
+
+            # Verify the correct dates are returned (API returns dict with True values)
+            assert "2024-11-02" in summary, f"Expected 2024-11-02 in {summary}"
+            assert "2024-11-03" in summary, f"Expected 2024-11-03 in {summary}"
+            assert "2024-11-04" in summary, f"Expected 2024-11-04 in {summary}"
+            assert summary["2024-11-02"] is True
+            assert summary["2024-11-03"] is True
+            assert summary["2024-11-04"] is True
+
+    def test_recordings_summary_multiple_cameras_across_dst(self):
+        """
+        Test recordings summary with multiple cameras across DST boundary.
+        """
+        tz = pytz.timezone("America/New_York")
+
+        # March 9, 2024 at 10:00 AM EST (before DST)
+        march_9_morning = tz.localize(datetime(2024, 3, 9, 10, 0, 0)).timestamp()
+
+        # March 10, 2024 at 3:00 PM EDT (after DST transition)
+        march_10_afternoon = tz.localize(datetime(2024, 3, 10, 15, 0, 0)).timestamp()
+
+        with AuthTestClient(self.app) as client:
+            # Override allowed cameras for this test to include both
+            async def mock_get_allowed_cameras_for_filter(_request: Request):
+                return ["front_door", "back_door"]
+
+            self.app.dependency_overrides[get_allowed_cameras_for_filter] = (
+                mock_get_allowed_cameras_for_filter
+            )
+
+            # Insert recordings for front_door on March 9
+            Recordings.insert(
+                id="front_march_9",
+                path="/media/recordings/front_march_9.mp4",
+                camera="front_door",
+                start_time=march_9_morning,
+                end_time=march_9_morning + 3600,
+                duration=3600,
+                motion=100,
+                objects=5,
+            ).execute()
+
+            # Insert recordings for back_door on March 10
+            Recordings.insert(
+                id="back_march_10",
+                path="/media/recordings/back_march_10.mp4",
+                camera="back_door",
+                start_time=march_10_afternoon,
+                end_time=march_10_afternoon + 3600,
+                duration=3600,
+                motion=150,
+                objects=8,
+            ).execute()
+
+            # Test with all cameras
+            response = client.get(
+                "/recordings/summary",
+                params={"timezone": "America/New_York", "cameras": "all"},
+            )
+
+            assert response.status_code == 200
+            summary = response.json()
+
+            # Verify we get both days
+            assert len(summary) == 2, f"Expected 2 days, got {len(summary)}"
+            assert "2024-03-09" in summary
+            assert "2024-03-10" in summary
+            assert summary["2024-03-09"] is True
+            assert summary["2024-03-10"] is True
+
+            # Reset dependency override back to default single camera for other tests
+            async def reset_allowed_cameras(_request: Request):
+                return ["front_door"]
+
+            self.app.dependency_overrides[get_allowed_cameras_for_filter] = (
+                reset_allowed_cameras
+            )
+
+    def test_recordings_summary_at_dst_transition_time(self):
+        """
+        Test recordings that span the exact DST transition time.
+        """
+        tz = pytz.timezone("America/New_York")
+
+        # March 10, 2024 at 1:00 AM EST (1 hour before DST transition)
+        # At 2:00 AM, clocks jump to 3:00 AM
+        before_transition = tz.localize(datetime(2024, 3, 10, 1, 0, 0)).timestamp()
+
+        # Recording that spans the transition (1:00 AM to 3:30 AM EDT)
+        # This is 1.5 hours of actual time but spans the "missing" hour
+        after_transition = tz.localize(datetime(2024, 3, 10, 3, 30, 0)).timestamp()
+
+        with AuthTestClient(self.app) as client:
+            Recordings.insert(
+                id="recording_during_transition",
+                path="/media/recordings/transition.mp4",
+                camera="front_door",
+                start_time=before_transition,
+                end_time=after_transition,
+                duration=after_transition - before_transition,
+                motion=100,
+                objects=5,
+            ).execute()
+
+            response = client.get(
+                "/recordings/summary",
+                params={"timezone": "America/New_York", "cameras": "all"},
+            )
+
+            assert response.status_code == 200
+            summary = response.json()
+
+            # The recording should appear on March 10
+            assert len(summary) == 1
+            assert "2024-03-10" in summary
+            assert summary["2024-03-10"] is True
+
+    def test_recordings_summary_utc_timezone(self):
+        """
+        Test recordings summary with UTC timezone (no DST).
+        """
+        # Use UTC timestamps directly
+        march_9_utc = datetime(2024, 3, 9, 17, 0, 0, tzinfo=timezone.utc).timestamp()
+        march_10_utc = datetime(2024, 3, 10, 17, 0, 0, tzinfo=timezone.utc).timestamp()
+
+        with AuthTestClient(self.app) as client:
+            Recordings.insert(
+                id="recording_march_9_utc",
+                path="/media/recordings/march_9_utc.mp4",
+                camera="front_door",
+                start_time=march_9_utc,
+                end_time=march_9_utc + 3600,
+                duration=3600,
+                motion=100,
+                objects=5,
+            ).execute()
+
+            Recordings.insert(
+                id="recording_march_10_utc",
+                path="/media/recordings/march_10_utc.mp4",
+                camera="front_door",
+                start_time=march_10_utc,
+                end_time=march_10_utc + 3600,
+                duration=3600,
+                motion=150,
+                objects=8,
+            ).execute()
+
+            # Test with UTC timezone
+            response = client.get(
+                "/recordings/summary", params={"timezone": "utc", "cameras": "all"}
+            )
+
+            assert response.status_code == 200
+            summary = response.json()
+
+            # Verify we get both days
+            assert len(summary) == 2
+            assert "2024-03-09" in summary
+            assert "2024-03-10" in summary
+            assert summary["2024-03-09"] is True
+            assert summary["2024-03-10"] is True
+
+    def test_recordings_summary_no_recordings(self):
+        """
+        Test recordings summary when no recordings exist.
+        """
+        with AuthTestClient(self.app) as client:
+            response = client.get(
+                "/recordings/summary",
+                params={"timezone": "America/New_York", "cameras": "all"},
+            )
+
+            assert response.status_code == 200
+            summary = response.json()
+            assert len(summary) == 0
+
+    def test_recordings_summary_single_camera_filter(self):
+        """
+        Test recordings summary filtered to a single camera.
+        """
+        tz = pytz.timezone("America/New_York")
+        march_10_noon = tz.localize(datetime(2024, 3, 10, 12, 0, 0)).timestamp()
+
+        with AuthTestClient(self.app) as client:
+            # Insert recordings for both cameras
+            Recordings.insert(
+                id="front_recording",
+                path="/media/recordings/front.mp4",
+                camera="front_door",
+                start_time=march_10_noon,
+                end_time=march_10_noon + 3600,
+                duration=3600,
+                motion=100,
+                objects=5,
+            ).execute()
+
+            Recordings.insert(
+                id="back_recording",
+                path="/media/recordings/back.mp4",
+                camera="back_door",
+                start_time=march_10_noon,
+                end_time=march_10_noon + 3600,
+                duration=3600,
+                motion=150,
+                objects=8,
+            ).execute()
+
+            # Test with only front_door camera
+            response = client.get(
+                "/recordings/summary",
+                params={"timezone": "America/New_York", "cameras": "front_door"},
+            )
+
+            assert response.status_code == 200
+            summary = response.json()
+            assert len(summary) == 1
+            assert "2024-03-10" in summary
+            assert summary["2024-03-10"] is True
diff --git a/frigate/test/http_api/test_http_review.py b/frigate/test/http_api/test_http_review.py
index 731438e04..ca73c8706 100644
--- a/frigate/test/http_api/test_http_review.py
+++ b/frigate/test/http_api/test_http_review.py
@@ -1,12 +1,12 @@
 from datetime import datetime, timedelta
 
-from fastapi.testclient import TestClient
+from fastapi import Request
 from peewee import DoesNotExist
 
 from frigate.api.auth import get_allowed_cameras_for_filter, get_current_user
 from frigate.models import Event, Recordings, ReviewSegment, UserReviewStatus
 from frigate.review.types import SeverityEnum
-from frigate.test.http_api.base_http_test import BaseTestHttp
+from frigate.test.http_api.base_http_test import AuthTestClient, BaseTestHttp
 
 
 class TestHttpReview(BaseTestHttp):
@@ -16,14 +16,26 @@ class TestHttpReview(BaseTestHttp):
         self.user_id = "admin"
 
         # Mock get_current_user for all tests
-        async def mock_get_current_user():
-            return {"username": self.user_id, "role": "admin"}
+        # This mock uses headers set by AuthTestClient
+        async def mock_get_current_user(request: Request):
+            username = request.headers.get("remote-user")
+            role = request.headers.get("remote-role")
+            if not username or not role:
+                from fastapi.responses import JSONResponse
+
+                return JSONResponse(
+                    content={"message": "No authorization headers."}, status_code=401
+                )
+            return {"username": username, "role": role}
 
         self.app.dependency_overrides[get_current_user] = mock_get_current_user
 
-        self.app.dependency_overrides[get_allowed_cameras_for_filter] = lambda: [
-            "front_door"
-        ]
+        async def mock_get_allowed_cameras_for_filter(request: Request):
+            return ["front_door"]
+
+        self.app.dependency_overrides[get_allowed_cameras_for_filter] = (
+            mock_get_allowed_cameras_for_filter
+        )
 
     def tearDown(self):
         self.app.dependency_overrides.clear()
@@ -57,7 +69,7 @@ class TestHttpReview(BaseTestHttp):
         but ends after is included in the results."""
         now = datetime.now().timestamp()
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_review_segment("123456.random", now, now + 2)
             response = client.get("/review")
             assert response.status_code == 200
@@ -67,7 +79,7 @@ class TestHttpReview(BaseTestHttp):
     def test_get_review_no_filters(self):
         now = datetime.now().timestamp()
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             super().insert_mock_review_segment(id, now - 2, now - 1)
             response = client.get("/review")
@@ -81,7 +93,7 @@ class TestHttpReview(BaseTestHttp):
         """Test that review items outside the range are not returned."""
         now = datetime.now().timestamp()
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             super().insert_mock_review_segment(id, now - 2, now - 1)
             super().insert_mock_review_segment(f"{id}2", now + 4, now + 5)
@@ -97,7 +109,7 @@ class TestHttpReview(BaseTestHttp):
     def test_get_review_with_time_filter(self):
         now = datetime.now().timestamp()
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             super().insert_mock_review_segment(id, now, now + 2)
             params = {
@@ -113,7 +125,7 @@ class TestHttpReview(BaseTestHttp):
     def test_get_review_with_limit_filter(self):
         now = datetime.now().timestamp()
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             id2 = "654321.random"
             super().insert_mock_review_segment(id, now, now + 2)
@@ -132,7 +144,7 @@ class TestHttpReview(BaseTestHttp):
     def test_get_review_with_severity_filters_no_matches(self):
         now = datetime.now().timestamp()
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             super().insert_mock_review_segment(id, now, now + 2, SeverityEnum.detection)
             params = {
@@ -149,7 +161,7 @@ class TestHttpReview(BaseTestHttp):
     def test_get_review_with_severity_filters(self):
         now = datetime.now().timestamp()
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             super().insert_mock_review_segment(id, now, now + 2, SeverityEnum.detection)
             params = {
@@ -165,7 +177,7 @@ class TestHttpReview(BaseTestHttp):
     def test_get_review_with_all_filters(self):
         now = datetime.now().timestamp()
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             super().insert_mock_review_segment(id, now, now + 2)
             params = {
@@ -184,11 +196,55 @@ class TestHttpReview(BaseTestHttp):
             assert len(response_json) == 1
             assert response_json[0]["id"] == id
 
+    def test_get_review_with_reviewed_filter_unreviewed(self):
+        """Test that reviewed=0 returns only unreviewed items."""
+        now = datetime.now().timestamp()
+
+        with AuthTestClient(self.app) as client:
+            id_unreviewed = "123456.unreviewed"
+            id_reviewed = "123456.reviewed"
+            super().insert_mock_review_segment(id_unreviewed, now, now + 2)
+            super().insert_mock_review_segment(id_reviewed, now, now + 2)
+            self._insert_user_review_status(id_reviewed, reviewed=True)
+
+            params = {
+                "reviewed": 0,
+                "after": now - 1,
+                "before": now + 3,
+            }
+            response = client.get("/review", params=params)
+            assert response.status_code == 200
+            response_json = response.json()
+            assert len(response_json) == 1
+            assert response_json[0]["id"] == id_unreviewed
+
+    def test_get_review_with_reviewed_filter_reviewed(self):
+        """Test that reviewed=1 returns only reviewed items."""
+        now = datetime.now().timestamp()
+
+        with AuthTestClient(self.app) as client:
+            id_unreviewed = "123456.unreviewed"
+            id_reviewed = "123456.reviewed"
+            super().insert_mock_review_segment(id_unreviewed, now, now + 2)
+            super().insert_mock_review_segment(id_reviewed, now, now + 2)
+            self._insert_user_review_status(id_reviewed, reviewed=True)
+
+            params = {
+                "reviewed": 1,
+                "after": now - 1,
+                "before": now + 3,
+            }
+            response = client.get("/review", params=params)
+            assert response.status_code == 200
+            response_json = response.json()
+            assert len(response_json) == 1
+            assert response_json[0]["id"] == id_reviewed
+
     ####################################################################################################################
     ###################################  GET /review/summary Endpoint   #################################################
     ####################################################################################################################
     def test_get_review_summary_all_filters(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_review_segment("123456.random")
             params = {
                 "cameras": "front_door",
@@ -219,7 +275,7 @@ class TestHttpReview(BaseTestHttp):
             self.assertEqual(response_json, expected_response)
 
     def test_get_review_summary_no_filters(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_review_segment("123456.random")
             response = client.get("/review/summary")
             assert response.status_code == 200
@@ -247,7 +303,7 @@ class TestHttpReview(BaseTestHttp):
         now = datetime.now()
         five_days_ago = datetime.today() - timedelta(days=5)
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_review_segment(
                 "123456.random", now.timestamp() - 2, now.timestamp() - 1
             )
@@ -291,7 +347,7 @@ class TestHttpReview(BaseTestHttp):
         now = datetime.now()
         five_days_ago = datetime.today() - timedelta(days=5)
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_review_segment("123456.random", now.timestamp())
             five_days_ago_ts = five_days_ago.timestamp()
             for i in range(20):
@@ -342,7 +398,7 @@ class TestHttpReview(BaseTestHttp):
     def test_get_review_summary_multiple_in_same_day_with_reviewed(self):
         five_days_ago = datetime.today() - timedelta(days=5)
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             five_days_ago_ts = five_days_ago.timestamp()
             for i in range(10):
                 id = f"123456_{i}.random_alert_not_reviewed"
@@ -393,14 +449,14 @@ class TestHttpReview(BaseTestHttp):
     ####################################################################################################################
 
     def test_post_reviews_viewed_no_body(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_review_segment("123456.random")
             response = client.post("/reviews/viewed")
             # Missing ids
             assert response.status_code == 422
 
     def test_post_reviews_viewed_no_body_ids(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_review_segment("123456.random")
             body = {"ids": [""]}
             response = client.post("/reviews/viewed", json=body)
@@ -408,7 +464,7 @@ class TestHttpReview(BaseTestHttp):
             assert response.status_code == 422
 
     def test_post_reviews_viewed_non_existent_id(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             super().insert_mock_review_segment(id)
             body = {"ids": ["1"]}
@@ -416,7 +472,7 @@ class TestHttpReview(BaseTestHttp):
             assert response.status_code == 200
             response = response.json()
             assert response["success"] == True
-            assert response["message"] == "Reviewed multiple items"
+            assert response["message"] == "Marked multiple items as reviewed"
             # Verify that in DB the review segment was not changed
             with self.assertRaises(DoesNotExist):
                 UserReviewStatus.get(
@@ -425,7 +481,7 @@ class TestHttpReview(BaseTestHttp):
                 )
 
     def test_post_reviews_viewed(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             super().insert_mock_review_segment(id)
             body = {"ids": [id]}
@@ -433,7 +489,7 @@ class TestHttpReview(BaseTestHttp):
             assert response.status_code == 200
             response_json = response.json()
             assert response_json["success"] == True
-            assert response_json["message"] == "Reviewed multiple items"
+            assert response_json["message"] == "Marked multiple items as reviewed"
             # Verify UserReviewStatus was created
             user_review = UserReviewStatus.get(
                 UserReviewStatus.user_id == self.user_id,
@@ -445,14 +501,14 @@ class TestHttpReview(BaseTestHttp):
     ###################################  POST reviews/delete Endpoint   ################################################
     ####################################################################################################################
     def test_post_reviews_delete_no_body(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_review_segment("123456.random")
             response = client.post("/reviews/delete", headers={"remote-role": "admin"})
             # Missing ids
             assert response.status_code == 422
 
     def test_post_reviews_delete_no_body_ids(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             super().insert_mock_review_segment("123456.random")
             body = {"ids": [""]}
             response = client.post(
@@ -462,7 +518,7 @@ class TestHttpReview(BaseTestHttp):
             assert response.status_code == 422
 
     def test_post_reviews_delete_non_existent_id(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             super().insert_mock_review_segment(id)
             body = {"ids": ["1"]}
@@ -479,7 +535,7 @@ class TestHttpReview(BaseTestHttp):
             assert review_ids_in_db_after[0].id == id
 
     def test_post_reviews_delete(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             super().insert_mock_review_segment(id)
             body = {"ids": [id]}
@@ -495,7 +551,7 @@ class TestHttpReview(BaseTestHttp):
             assert len(review_ids_in_db_after) == 0
 
     def test_post_reviews_delete_many(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             ids = ["123456.random", "654321.random"]
             for id in ids:
                 super().insert_mock_review_segment(id)
@@ -527,7 +583,7 @@ class TestHttpReview(BaseTestHttp):
     def test_review_activity_motion_no_data_for_time_range(self):
         now = datetime.now().timestamp()
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             params = {
                 "after": now,
                 "before": now + 3,
@@ -540,7 +596,7 @@ class TestHttpReview(BaseTestHttp):
     def test_review_activity_motion(self):
         now = int(datetime.now().timestamp())
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             one_m = int((datetime.now() + timedelta(minutes=1)).timestamp())
             id = "123456.random"
             id2 = "123451.random"
@@ -573,7 +629,7 @@ class TestHttpReview(BaseTestHttp):
     ###################################  GET /review/event/{event_id} Endpoint   #######################################
     ####################################################################################################################
     def test_review_event_not_found(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             response = client.get("/review/event/123456.random")
             assert response.status_code == 404
             response_json = response.json()
@@ -585,7 +641,7 @@ class TestHttpReview(BaseTestHttp):
     def test_review_event_not_found_in_data(self):
         now = datetime.now().timestamp()
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             id = "123456.random"
             super().insert_mock_review_segment(id, now + 1, now + 2)
             response = client.get(f"/review/event/{id}")
@@ -599,7 +655,7 @@ class TestHttpReview(BaseTestHttp):
     def test_review_get_specific_event(self):
         now = datetime.now().timestamp()
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             event_id = "123456.event.random"
             super().insert_mock_event(event_id)
             review_id = "123456.review.random"
@@ -626,7 +682,7 @@ class TestHttpReview(BaseTestHttp):
     ###################################  GET /review/{review_id} Endpoint   #######################################
     ####################################################################################################################
     def test_review_not_found(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             response = client.get("/review/123456.random")
             assert response.status_code == 404
             response_json = response.json()
@@ -638,7 +694,7 @@ class TestHttpReview(BaseTestHttp):
     def test_get_review(self):
         now = datetime.now().timestamp()
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             review_id = "123456.review.random"
             super().insert_mock_review_segment(review_id, now + 1, now + 2)
             response = client.get(f"/review/{review_id}")
@@ -662,7 +718,7 @@ class TestHttpReview(BaseTestHttp):
     ####################################################################################################################
 
     def test_delete_review_viewed_review_not_found(self):
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             review_id = "123456.random"
             response = client.delete(f"/review/{review_id}/viewed")
             assert response.status_code == 404
@@ -675,7 +731,7 @@ class TestHttpReview(BaseTestHttp):
     def test_delete_review_viewed(self):
         now = datetime.now().timestamp()
 
-        with TestClient(self.app) as client:
+        with AuthTestClient(self.app) as client:
             review_id = "123456.review.random"
             super().insert_mock_review_segment(review_id, now + 1, now + 2)
             self._insert_user_review_status(review_id, reviewed=True)
diff --git a/frigate/test/test_config.py b/frigate/test/test_config.py
index 4bafe7369..afe577f2f 100644
--- a/frigate/test/test_config.py
+++ b/frigate/test/test_config.py
@@ -632,6 +632,49 @@ class TestConfig(unittest.TestCase):
         )
         assert frigate_config.cameras["back"].zones["test"].color != (0, 0, 0)
 
+    def test_zone_filter_area_percent_converts_to_pixels(self):
+        config = {
+            "mqtt": {"host": "mqtt"},
+            "record": {
+                "alerts": {
+                    "retain": {
+                        "days": 20,
+                    }
+                }
+            },
+            "cameras": {
+                "back": {
+                    "ffmpeg": {
+                        "inputs": [
+                            {"path": "rtsp://10.0.0.1:554/video", "roles": ["detect"]}
+                        ]
+                    },
+                    "detect": {
+                        "height": 1080,
+                        "width": 1920,
+                        "fps": 5,
+                    },
+                    "zones": {
+                        "notification": {
+                            "coordinates": "0.03,1,0.025,0,0.626,0,0.643,1",
+                            "objects": ["person"],
+                            "filters": {"person": {"min_area": 0.1}},
+                        }
+                    },
+                }
+            },
+        }
+
+        frigate_config = FrigateConfig(**config)
+        expected_min_area = int(1080 * 1920 * 0.1)
+        assert (
+            frigate_config.cameras["back"]
+            .zones["notification"]
+            .filters["person"]
+            .min_area
+            == expected_min_area
+        )
+
     def test_zone_relative_matches_explicit(self):
         config = {
             "mqtt": {"host": "mqtt"},
diff --git a/frigate/test/test_maintainer.py b/frigate/test/test_maintainer.py
new file mode 100644
index 000000000..d978cfd9f
--- /dev/null
+++ b/frigate/test/test_maintainer.py
@@ -0,0 +1,66 @@
+import sys
+import unittest
+from unittest.mock import MagicMock, patch
+
+# Mock complex imports before importing maintainer
+sys.modules["frigate.comms.inter_process"] = MagicMock()
+sys.modules["frigate.comms.detections_updater"] = MagicMock()
+sys.modules["frigate.comms.recordings_updater"] = MagicMock()
+sys.modules["frigate.config.camera.updater"] = MagicMock()
+
+# Now import the class under test
+from frigate.config import FrigateConfig  # noqa: E402
+from frigate.record.maintainer import RecordingMaintainer  # noqa: E402
+
+
+class TestMaintainer(unittest.IsolatedAsyncioTestCase):
+    async def test_move_files_survives_bad_filename(self):
+        config = MagicMock(spec=FrigateConfig)
+        config.cameras = {}
+        stop_event = MagicMock()
+
+        maintainer = RecordingMaintainer(config, stop_event)
+
+        # We need to mock end_time_cache to avoid key errors if logic proceeds
+        maintainer.end_time_cache = {}
+
+        # Mock filesystem
+        # One bad file, one good file
+        files = ["bad_filename.mp4", "camera@20210101000000+0000.mp4"]
+
+        with patch("os.listdir", return_value=files):
+            with patch("os.path.isfile", return_value=True):
+                with patch(
+                    "frigate.record.maintainer.psutil.process_iter", return_value=[]
+                ):
+                    with patch("frigate.record.maintainer.logger.warning") as warn:
+                        # Mock validate_and_move_segment to avoid further logic
+                        maintainer.validate_and_move_segment = MagicMock()
+
+                        try:
+                            await maintainer.move_files()
+                        except ValueError as e:
+                            if "not enough values to unpack" in str(e):
+                                self.fail("move_files() crashed on bad filename!")
+                            raise e
+                        except Exception:
+                            # Ignore other errors (like DB connection) as we only care about the unpack crash
+                            pass
+
+                        # The bad filename is encountered in multiple loops, but should only warn once.
+                        matching = [
+                            c
+                            for c in warn.call_args_list
+                            if c.args
+                            and isinstance(c.args[0], str)
+                            and "Skipping unexpected files in cache" in c.args[0]
+                        ]
+                        self.assertEqual(
+                            1,
+                            len(matching),
+                            f"Expected a single warning for unexpected files, got {len(matching)}",
+                        )
+
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/frigate/test/test_record_retention.py b/frigate/test/test_record_retention.py
index b9aead9da..b826c3afb 100644
--- a/frigate/test/test_record_retention.py
+++ b/frigate/test/test_record_retention.py
@@ -12,11 +12,11 @@ class TestRecordRetention(unittest.TestCase):
         assert not segment_info.should_discard_segment(RetainModeEnum.motion)
         assert segment_info.should_discard_segment(RetainModeEnum.active_objects)
 
-    def test_object_should_keep_object_not_motion(self):
+    def test_object_should_keep_object_when_motion(self):
         segment_info = SegmentInfo(
             motion_count=0, active_object_count=1, region_count=0, average_dBFS=0
         )
-        assert segment_info.should_discard_segment(RetainModeEnum.motion)
+        assert not segment_info.should_discard_segment(RetainModeEnum.motion)
         assert not segment_info.should_discard_segment(RetainModeEnum.active_objects)
 
     def test_all_should_keep_all(self):
diff --git a/frigate/timeline.py b/frigate/timeline.py
index 4c3d0d457..cf2f5e8c7 100644
--- a/frigate/timeline.py
+++ b/frigate/timeline.py
@@ -86,11 +86,11 @@ class TimelineProcessor(threading.Thread):
         event_data: dict[Any, Any],
     ) -> bool:
         """Handle object detection."""
-        save = False
         camera_config = self.config.cameras[camera]
         event_id = event_data["id"]
 
-        timeline_entry = {
+        # Base timeline entry data that all entries will share
+        base_entry = {
             Timeline.timestamp: event_data["frame_time"],
             Timeline.camera: camera,
             Timeline.source: "tracked_object",
@@ -109,6 +109,7 @@ class TimelineProcessor(threading.Thread):
                     event_data["region"],
                 ),
                 "attribute": "",
+                "score": event_data["score"],
             },
         }
 
@@ -122,32 +123,64 @@ class TimelineProcessor(threading.Thread):
                 e[Timeline.data]["sub_label"] = event_data["sub_label"]
 
         if event_type == EventStateEnum.start:
+            timeline_entry = base_entry.copy()
             timeline_entry[Timeline.class_type] = "visible"
-            save = True
+            self.insert_or_save(timeline_entry, prev_event_data, event_data)
         elif event_type == EventStateEnum.update:
+            # Check all conditions and create timeline entries for each change
+            entries_to_save = []
+
+            # Check for zone changes
+            prev_zones = set(prev_event_data["current_zones"])
+            current_zones = set(event_data["current_zones"])
+            zones_changed = prev_zones != current_zones
+
+            # Only save "entered_zone" events when the object is actually IN zones
             if (
-                len(prev_event_data["current_zones"]) < len(event_data["current_zones"])
+                zones_changed
                 and not event_data["stationary"]
+                and len(current_zones) > 0
             ):
-                timeline_entry[Timeline.class_type] = "entered_zone"
-                timeline_entry[Timeline.data]["zones"] = event_data["current_zones"]
-                save = True
-            elif prev_event_data["stationary"] != event_data["stationary"]:
-                timeline_entry[Timeline.class_type] = (
+                zone_entry = base_entry.copy()
+                zone_entry[Timeline.class_type] = "entered_zone"
+                zone_entry[Timeline.data] = base_entry[Timeline.data].copy()
+                zone_entry[Timeline.data]["zones"] = event_data["current_zones"]
+                entries_to_save.append(zone_entry)
+
+            # Check for stationary status change
+            if prev_event_data["stationary"] != event_data["stationary"]:
+                stationary_entry = base_entry.copy()
+                stationary_entry[Timeline.class_type] = (
                     "stationary" if event_data["stationary"] else "active"
                 )
-                save = True
-            elif prev_event_data["attributes"] == {} and event_data["attributes"] != {}:
-                timeline_entry[Timeline.class_type] = "attribute"
-                timeline_entry[Timeline.data]["attribute"] = list(
+                stationary_entry[Timeline.data] = base_entry[Timeline.data].copy()
+                entries_to_save.append(stationary_entry)
+
+            # Check for new attributes
+            if prev_event_data["attributes"] == {} and event_data["attributes"] != {}:
+                attribute_entry = base_entry.copy()
+                attribute_entry[Timeline.class_type] = "attribute"
+                attribute_entry[Timeline.data] = base_entry[Timeline.data].copy()
+                attribute_entry[Timeline.data]["attribute"] = list(
                     event_data["attributes"].keys()
                 )[0]
-                save = True
-        elif event_type == EventStateEnum.end:
-            timeline_entry[Timeline.class_type] = "gone"
-            save = True
 
-        if save:
+                if len(event_data["current_attributes"]) > 0:
+                    attribute_entry[Timeline.data]["attribute_box"] = to_relative_box(
+                        camera_config.detect.width,
+                        camera_config.detect.height,
+                        event_data["current_attributes"][0]["box"],
+                    )
+
+                entries_to_save.append(attribute_entry)
+
+            # Save all entries
+            for entry in entries_to_save:
+                self.insert_or_save(entry, prev_event_data, event_data)
+
+        elif event_type == EventStateEnum.end:
+            timeline_entry = base_entry.copy()
+            timeline_entry[Timeline.class_type] = "gone"
             self.insert_or_save(timeline_entry, prev_event_data, event_data)
 
     def handle_api_entry(
diff --git a/frigate/track/object_processing.py b/frigate/track/object_processing.py
index 25128d6df..e0ee74228 100644
--- a/frigate/track/object_processing.py
+++ b/frigate/track/object_processing.py
@@ -78,6 +78,8 @@ class TrackedObjectProcessor(threading.Thread):
             [
                 CameraConfigUpdateEnum.add,
                 CameraConfigUpdateEnum.enabled,
+                CameraConfigUpdateEnum.motion,
+                CameraConfigUpdateEnum.objects,
                 CameraConfigUpdateEnum.remove,
                 CameraConfigUpdateEnum.zones,
             ],
diff --git a/frigate/track/tracked_object.py b/frigate/track/tracked_object.py
index 111dd2c40..453798651 100644
--- a/frigate/track/tracked_object.py
+++ b/frigate/track/tracked_object.py
@@ -432,7 +432,7 @@ class TrackedObject:
             _, img = cv2.imencode(f".{ext}", np.zeros((175, 175, 3), np.uint8))
             return img.tobytes()
 
-    def get_clean_png(self) -> bytes | None:
+    def get_clean_webp(self) -> bytes | None:
         if self.thumbnail_data is None:
             return None
 
@@ -443,13 +443,15 @@ class TrackedObject:
             )
         except KeyError:
             logger.warning(
-                f"Unable to create clean png because frame {self.thumbnail_data['frame_time']} is not in the cache"
+                f"Unable to create clean webp because frame {self.thumbnail_data['frame_time']} is not in the cache"
             )
             return None
 
-        ret, png = cv2.imencode(".png", best_frame)
+        ret, webp = cv2.imencode(
+            ".webp", best_frame, [int(cv2.IMWRITE_WEBP_QUALITY), 60]
+        )
         if ret:
-            return png.tobytes()
+            return webp.tobytes()
         else:
             return None
 
@@ -583,8 +585,8 @@ class TrackedObject:
 
         # write clean snapshot if enabled
         if snapshot_config.clean_copy:
-            png_bytes = self.get_clean_png()
-            if png_bytes is None:
+            webp_bytes = self.get_clean_webp()
+            if webp_bytes is None:
                 logger.warning(
                     f"Unable to save clean snapshot for {self.obj_data['id']}."
                 )
@@ -592,11 +594,11 @@ class TrackedObject:
                 with open(
                     os.path.join(
                         CLIPS_DIR,
-                        f"{self.camera_config.name}-{self.obj_data['id']}-clean.png",
+                        f"{self.camera_config.name}-{self.obj_data['id']}-clean.webp",
                     ),
                     "wb",
                 ) as p:
-                    p.write(png_bytes)
+                    p.write(webp_bytes)
 
     def write_thumbnail_to_disk(self) -> None:
         if not self.camera_config.name:
diff --git a/frigate/types.py b/frigate/types.py
index a9e27ba90..6c5135616 100644
--- a/frigate/types.py
+++ b/frigate/types.py
@@ -23,9 +23,11 @@ class ModelStatusTypesEnum(str, Enum):
     error = "error"
     training = "training"
     complete = "complete"
+    failed = "failed"
 
 
 class TrackedObjectUpdateTypesEnum(str, Enum):
     description = "description"
     face = "face"
     lpr = "lpr"
+    classification = "classification"
diff --git a/frigate/util/builtin.py b/frigate/util/builtin.py
index 5ab29a6ea..b1a76214b 100644
--- a/frigate/util/builtin.py
+++ b/frigate/util/builtin.py
@@ -15,12 +15,9 @@ from collections.abc import Mapping
 from multiprocessing.sharedctypes import Synchronized
 from pathlib import Path
 from typing import Any, Dict, Optional, Tuple, Union
-from zoneinfo import ZoneInfoNotFoundError
 
 import numpy as np
-import pytz
 from ruamel.yaml import YAML
-from tzlocal import get_localzone
 
 from frigate.const import REGEX_HTTP_CAMERA_USER_PASS, REGEX_RTSP_CAMERA_USER_PASS
 
@@ -157,17 +154,6 @@ def load_labels(path: Optional[str], encoding="utf-8", prefill=91):
         return labels
 
 
-def get_tz_modifiers(tz_name: str) -> Tuple[str, str, float]:
-    seconds_offset = (
-        datetime.datetime.now(pytz.timezone(tz_name)).utcoffset().total_seconds()
-    )
-    hours_offset = int(seconds_offset / 60 / 60)
-    minutes_offset = int(seconds_offset / 60 - hours_offset * 60)
-    hour_modifier = f"{hours_offset} hour"
-    minute_modifier = f"{minutes_offset} minute"
-    return hour_modifier, minute_modifier, seconds_offset
-
-
 def to_relative_box(
     width: int, height: int, box: Tuple[int, int, int, int]
 ) -> Tuple[int | float, int | float, int | float, int | float]:
@@ -298,34 +284,6 @@ def find_by_key(dictionary, target_key):
     return None
 
 
-def get_tomorrow_at_time(hour: int) -> datetime.datetime:
-    """Returns the datetime of the following day at 2am."""
-    try:
-        tomorrow = datetime.datetime.now(get_localzone()) + datetime.timedelta(days=1)
-    except ZoneInfoNotFoundError:
-        tomorrow = datetime.datetime.now(datetime.timezone.utc) + datetime.timedelta(
-            days=1
-        )
-        logger.warning(
-            "Using utc for maintenance due to missing or incorrect timezone set"
-        )
-
-    return tomorrow.replace(hour=hour, minute=0, second=0).astimezone(
-        datetime.timezone.utc
-    )
-
-
-def is_current_hour(timestamp: int) -> bool:
-    """Returns if timestamp is in the current UTC hour."""
-    start_of_next_hour = (
-        datetime.datetime.now(datetime.timezone.utc).replace(
-            minute=0, second=0, microsecond=0
-        )
-        + datetime.timedelta(hours=1)
-    ).timestamp()
-    return timestamp < start_of_next_hour
-
-
 def clear_and_unlink(file: Path, missing_ok: bool = True) -> None:
     """clear file then unlink to avoid space retained by file descriptors."""
     if not missing_ok and not file.exists():
diff --git a/frigate/util/classification.py b/frigate/util/classification.py
index e4133ded4..643f77d3b 100644
--- a/frigate/util/classification.py
+++ b/frigate/util/classification.py
@@ -1,32 +1,135 @@
 """Util for classification models."""
 
+import datetime
+import json
 import logging
 import os
+import random
+from collections import defaultdict
 
 import cv2
 import numpy as np
 
 from frigate.comms.embeddings_updater import EmbeddingsRequestEnum, EmbeddingsRequestor
 from frigate.comms.inter_process import InterProcessRequestor
+from frigate.config import FfmpegConfig
 from frigate.const import (
     CLIPS_DIR,
     MODEL_CACHE_DIR,
     PROCESS_PRIORITY_LOW,
     UPDATE_MODEL_STATE,
 )
-from frigate.log import redirect_output_to_logger
+from frigate.log import redirect_output_to_logger, suppress_stderr_during
+from frigate.models import Event, Recordings, ReviewSegment
 from frigate.types import ModelStatusTypesEnum
+from frigate.util.downloader import ModelDownloader
+from frigate.util.file import get_event_thumbnail_bytes
+from frigate.util.image import get_image_from_recording
 from frigate.util.process import FrigateProcess
 
 BATCH_SIZE = 16
 EPOCHS = 50
 LEARNING_RATE = 0.001
+TRAINING_METADATA_FILE = ".training_metadata.json"
 
 logger = logging.getLogger(__name__)
 
 
+def write_training_metadata(model_name: str, image_count: int) -> None:
+    """
+    Write training metadata to a hidden file in the model's clips directory.
+
+    Args:
+        model_name: Name of the classification model
+        image_count: Number of images used in training
+    """
+    model_name = model_name.strip()
+    clips_model_dir = os.path.join(CLIPS_DIR, model_name)
+    os.makedirs(clips_model_dir, exist_ok=True)
+
+    metadata_path = os.path.join(clips_model_dir, TRAINING_METADATA_FILE)
+    metadata = {
+        "last_training_date": datetime.datetime.now().isoformat(),
+        "last_training_image_count": image_count,
+    }
+
+    try:
+        with open(metadata_path, "w") as f:
+            json.dump(metadata, f, indent=2)
+        logger.info(f"Wrote training metadata for {model_name}: {image_count} images")
+    except Exception as e:
+        logger.error(f"Failed to write training metadata for {model_name}: {e}")
+
+
+def read_training_metadata(model_name: str) -> dict[str, any] | None:
+    """
+    Read training metadata from the hidden file in the model's clips directory.
+
+    Args:
+        model_name: Name of the classification model
+
+    Returns:
+        Dictionary with last_training_date and last_training_image_count, or None if not found
+    """
+    model_name = model_name.strip()
+    clips_model_dir = os.path.join(CLIPS_DIR, model_name)
+    metadata_path = os.path.join(clips_model_dir, TRAINING_METADATA_FILE)
+
+    if not os.path.exists(metadata_path):
+        return None
+
+    try:
+        with open(metadata_path, "r") as f:
+            metadata = json.load(f)
+        return metadata
+    except Exception as e:
+        logger.error(f"Failed to read training metadata for {model_name}: {e}")
+        return None
+
+
+def get_dataset_image_count(model_name: str) -> int:
+    """
+    Count the total number of images in the model's dataset directory.
+
+    Args:
+        model_name: Name of the classification model
+
+    Returns:
+        Total count of images across all categories
+    """
+    model_name = model_name.strip()
+    dataset_dir = os.path.join(CLIPS_DIR, model_name, "dataset")
+
+    if not os.path.exists(dataset_dir):
+        return 0
+
+    total_count = 0
+    try:
+        for category in os.listdir(dataset_dir):
+            category_dir = os.path.join(dataset_dir, category)
+            if not os.path.isdir(category_dir):
+                continue
+
+            image_files = [
+                f
+                for f in os.listdir(category_dir)
+                if f.lower().endswith((".webp", ".png", ".jpg", ".jpeg"))
+            ]
+            total_count += len(image_files)
+    except Exception as e:
+        logger.error(f"Failed to count dataset images for {model_name}: {e}")
+        return 0
+
+    return total_count
+
+
 class ClassificationTrainingProcess(FrigateProcess):
     def __init__(self, model_name: str) -> None:
+        self.BASE_WEIGHT_URL = os.environ.get(
+            "TF_KERAS_MOBILENET_V2_WEIGHTS_URL",
+            "",
+        )
+        model_name = model_name.strip()
         super().__init__(
             stop_event=None,
             priority=PROCESS_PRIORITY_LOW,
@@ -36,7 +139,8 @@ class ClassificationTrainingProcess(FrigateProcess):
 
     def run(self) -> None:
         self.pre_run_setup()
-        self.__train_classification_model()
+        success = self.__train_classification_model()
+        exit(0 if success else 1)
 
     def __generate_representative_dataset_factory(self, dataset_dir: str):
         def generate_representative_dataset():
@@ -59,90 +163,140 @@ class ClassificationTrainingProcess(FrigateProcess):
     @redirect_output_to_logger(logger, logging.DEBUG)
     def __train_classification_model(self) -> bool:
         """Train a classification model."""
+        try:
+            # import in the function so that tensorflow is not initialized multiple times
+            import tensorflow as tf
+            from tensorflow.keras import layers, models, optimizers
+            from tensorflow.keras.applications import MobileNetV2
+            from tensorflow.keras.preprocessing.image import ImageDataGenerator
 
-        # import in the function so that tensorflow is not initialized multiple times
-        import tensorflow as tf
-        from tensorflow.keras import layers, models, optimizers
-        from tensorflow.keras.applications import MobileNetV2
-        from tensorflow.keras.preprocessing.image import ImageDataGenerator
+            dataset_dir = os.path.join(CLIPS_DIR, self.model_name, "dataset")
+            model_dir = os.path.join(MODEL_CACHE_DIR, self.model_name)
+            os.makedirs(model_dir, exist_ok=True)
 
-        logger.info(f"Kicking off classification training for {self.model_name}.")
-        dataset_dir = os.path.join(CLIPS_DIR, self.model_name, "dataset")
-        model_dir = os.path.join(MODEL_CACHE_DIR, self.model_name)
-        num_classes = len(
-            [
-                d
-                for d in os.listdir(dataset_dir)
-                if os.path.isdir(os.path.join(dataset_dir, d))
-            ]
-        )
+            num_classes = len(
+                [
+                    d
+                    for d in os.listdir(dataset_dir)
+                    if os.path.isdir(os.path.join(dataset_dir, d))
+                ]
+            )
 
-        # Start with imagenet base model with 35% of channels in each layer
-        base_model = MobileNetV2(
-            input_shape=(224, 224, 3),
-            include_top=False,
-            weights="imagenet",
-            alpha=0.35,
-        )
-        base_model.trainable = False  # Freeze pre-trained layers
+            if num_classes < 2:
+                logger.error(
+                    f"Training failed for {self.model_name}: Need at least 2 classes, found {num_classes}"
+                )
+                return False
 
-        model = models.Sequential(
-            [
-                base_model,
-                layers.GlobalAveragePooling2D(),
-                layers.Dense(128, activation="relu"),
-                layers.Dropout(0.3),
-                layers.Dense(num_classes, activation="softmax"),
-            ]
-        )
+            weights_path = "imagenet"
+            # Download MobileNetV2 weights if not present
+            if self.BASE_WEIGHT_URL:
+                weights_path = os.path.join(
+                    MODEL_CACHE_DIR, "MobileNet", "mobilenet_v2_weights.h5"
+                )
+                if not os.path.exists(weights_path):
+                    logger.info("Downloading MobileNet V2 weights file")
+                    ModelDownloader.download_from_url(
+                        self.BASE_WEIGHT_URL, weights_path
+                    )
 
-        model.compile(
-            optimizer=optimizers.Adam(learning_rate=LEARNING_RATE),
-            loss="categorical_crossentropy",
-            metrics=["accuracy"],
-        )
+            # Start with imagenet base model with 35% of channels in each layer
+            base_model = MobileNetV2(
+                input_shape=(224, 224, 3),
+                include_top=False,
+                weights=weights_path,
+                alpha=0.35,
+            )
+            base_model.trainable = False  # Freeze pre-trained layers
 
-        # create training set
-        datagen = ImageDataGenerator(rescale=1.0 / 255, validation_split=0.2)
-        train_gen = datagen.flow_from_directory(
-            dataset_dir,
-            target_size=(224, 224),
-            batch_size=BATCH_SIZE,
-            class_mode="categorical",
-            subset="training",
-        )
+            model = models.Sequential(
+                [
+                    base_model,
+                    layers.GlobalAveragePooling2D(),
+                    layers.Dense(128, activation="relu"),
+                    layers.Dropout(0.3),
+                    layers.Dense(num_classes, activation="softmax"),
+                ]
+            )
 
-        # write labelmap
-        class_indices = train_gen.class_indices
-        index_to_class = {v: k for k, v in class_indices.items()}
-        sorted_classes = [index_to_class[i] for i in range(len(index_to_class))]
-        with open(os.path.join(model_dir, "labelmap.txt"), "w") as f:
-            for class_name in sorted_classes:
-                f.write(f"{class_name}\n")
+            model.compile(
+                optimizer=optimizers.Adam(learning_rate=LEARNING_RATE),
+                loss="categorical_crossentropy",
+                metrics=["accuracy"],
+            )
 
-        # train the model
-        model.fit(train_gen, epochs=EPOCHS, verbose=0)
+            # create training set
+            datagen = ImageDataGenerator(rescale=1.0 / 255, validation_split=0.2)
+            train_gen = datagen.flow_from_directory(
+                dataset_dir,
+                target_size=(224, 224),
+                batch_size=BATCH_SIZE,
+                class_mode="categorical",
+                subset="training",
+            )
 
-        # convert model to tflite
-        converter = tf.lite.TFLiteConverter.from_keras_model(model)
-        converter.optimizations = [tf.lite.Optimize.DEFAULT]
-        converter.representative_dataset = (
-            self.__generate_representative_dataset_factory(dataset_dir)
-        )
-        converter.target_spec.supported_ops = [tf.lite.OpsSet.TFLITE_BUILTINS_INT8]
-        converter.inference_input_type = tf.uint8
-        converter.inference_output_type = tf.uint8
-        tflite_model = converter.convert()
+            total_images = train_gen.samples
+            logger.debug(
+                f"Training {self.model_name}: {total_images} images across {num_classes} classes"
+            )
 
-        # write model
-        with open(os.path.join(model_dir, "model.tflite"), "wb") as f:
-            f.write(tflite_model)
+            # write labelmap
+            class_indices = train_gen.class_indices
+            index_to_class = {v: k for k, v in class_indices.items()}
+            sorted_classes = [index_to_class[i] for i in range(len(index_to_class))]
+            with open(os.path.join(model_dir, "labelmap.txt"), "w") as f:
+                for class_name in sorted_classes:
+                    f.write(f"{class_name}\n")
+
+            # train the model
+            logger.debug(f"Training {self.model_name} for {EPOCHS} epochs...")
+            model.fit(train_gen, epochs=EPOCHS, verbose=0)
+            logger.debug(f"Converting {self.model_name} to TFLite...")
+
+            # convert model to tflite
+            # Suppress stderr during conversion to avoid LLVM debug output
+            # (fully_quantize, inference_type, MLIR optimization messages, etc)
+            with suppress_stderr_during("tflite_conversion"):
+                converter = tf.lite.TFLiteConverter.from_keras_model(model)
+                converter.optimizations = [tf.lite.Optimize.DEFAULT]
+                converter.representative_dataset = (
+                    self.__generate_representative_dataset_factory(dataset_dir)
+                )
+                converter.target_spec.supported_ops = [
+                    tf.lite.OpsSet.TFLITE_BUILTINS_INT8
+                ]
+                converter.inference_input_type = tf.uint8
+                converter.inference_output_type = tf.uint8
+                tflite_model = converter.convert()
+
+            # write model
+            model_path = os.path.join(model_dir, "model.tflite")
+            with open(model_path, "wb") as f:
+                f.write(tflite_model)
+
+            # verify model file was written successfully
+            if not os.path.exists(model_path) or os.path.getsize(model_path) == 0:
+                logger.error(
+                    f"Training failed for {self.model_name}: Model file was not created or is empty"
+                )
+                return False
+
+            # write training metadata with image count
+            dataset_image_count = get_dataset_image_count(self.model_name)
+            write_training_metadata(self.model_name, dataset_image_count)
+
+            logger.info(f"Finished training {self.model_name}")
+            return True
+
+        except Exception as e:
+            logger.error(f"Training failed for {self.model_name}: {e}", exc_info=True)
+            return False
 
 
-@staticmethod
 def kickoff_model_training(
     embeddingRequestor: EmbeddingsRequestor, model_name: str
 ) -> None:
+    model_name = model_name.strip()
     requestor = InterProcessRequestor()
     requestor.send_data(
         UPDATE_MODEL_STATE,
@@ -159,16 +313,583 @@ def kickoff_model_training(
     training_process.start()
     training_process.join()
 
-    # reload model and mark training as complete
-    embeddingRequestor.send_data(
-        EmbeddingsRequestEnum.reload_classification_model.value,
-        {"model_name": model_name},
-    )
-    requestor.send_data(
-        UPDATE_MODEL_STATE,
-        {
-            "model": model_name,
-            "state": ModelStatusTypesEnum.complete,
-        },
-    )
+    # check if training succeeded by examining the exit code
+    training_success = training_process.exitcode == 0
+
+    if training_success:
+        # reload model and mark training as complete
+        embeddingRequestor.send_data(
+            EmbeddingsRequestEnum.reload_classification_model.value,
+            {"model_name": model_name},
+        )
+        requestor.send_data(
+            UPDATE_MODEL_STATE,
+            {
+                "model": model_name,
+                "state": ModelStatusTypesEnum.complete,
+            },
+        )
+    else:
+        logger.error(
+            f"Training subprocess failed for {model_name} (exit code: {training_process.exitcode})"
+        )
+        # mark training as failed so UI shows error state
+        # don't reload the model since it failed
+        requestor.send_data(
+            UPDATE_MODEL_STATE,
+            {
+                "model": model_name,
+                "state": ModelStatusTypesEnum.failed,
+            },
+        )
+
     requestor.stop()
+
+
+@staticmethod
+def collect_state_classification_examples(
+    model_name: str, cameras: dict[str, tuple[float, float, float, float]]
+) -> None:
+    """
+    Collect representative state classification examples from review items.
+
+    This function:
+    1. Queries review items from specified cameras
+    2. Selects 100 balanced timestamps across the data
+    3. Extracts keyframes from recordings (cropped to specified regions)
+    4. Selects 24 most visually distinct images
+    5. Saves them to the dataset directory
+
+    Args:
+        model_name: Name of the classification model
+        cameras: Dict mapping camera names to normalized crop coordinates [x1, y1, x2, y2] (0-1)
+    """
+    model_name = model_name.strip()
+    dataset_dir = os.path.join(CLIPS_DIR, model_name, "dataset")
+
+    # Step 1: Get review items for the cameras
+    camera_names = list(cameras.keys())
+    review_items = list(
+        ReviewSegment.select()
+        .where(ReviewSegment.camera.in_(camera_names))
+        .where(ReviewSegment.end_time.is_null(False))
+        .order_by(ReviewSegment.start_time.asc())
+    )
+
+    if not review_items:
+        logger.warning(f"No review items found for cameras: {camera_names}")
+        return
+
+    # The temp directory is only created when there are review_items.
+    temp_dir = os.path.join(dataset_dir, "temp")
+    os.makedirs(temp_dir, exist_ok=True)
+
+    # Step 2: Create balanced timestamp selection (100 samples)
+    timestamps = _select_balanced_timestamps(review_items, target_count=100)
+
+    # Step 3: Extract keyframes from recordings with crops applied
+    keyframes = _extract_keyframes(
+        "/usr/lib/ffmpeg/7.0/bin/ffmpeg", timestamps, temp_dir, cameras
+    )
+
+    # Step 4: Select 24 most visually distinct images (they're already cropped)
+    distinct_images = _select_distinct_images(keyframes, target_count=24)
+
+    # Step 5: Save to train directory for later classification
+    train_dir = os.path.join(CLIPS_DIR, model_name, "train")
+    os.makedirs(train_dir, exist_ok=True)
+
+    saved_count = 0
+    for idx, image_path in enumerate(distinct_images):
+        dest_path = os.path.join(train_dir, f"example_{idx:03d}.jpg")
+        try:
+            img = cv2.imread(image_path)
+
+            if img is not None:
+                cv2.imwrite(dest_path, img)
+                saved_count += 1
+        except Exception as e:
+            logger.error(f"Failed to save image {image_path}: {e}")
+
+    import shutil
+
+    try:
+        shutil.rmtree(temp_dir)
+    except Exception as e:
+        logger.warning(f"Failed to clean up temp directory: {e}")
+
+
+def _select_balanced_timestamps(
+    review_items: list[ReviewSegment], target_count: int = 100
+) -> list[dict]:
+    """
+    Select balanced timestamps from review items.
+
+    Strategy:
+    - Group review items by camera and time of day
+    - Sample evenly across groups to ensure diversity
+    - For each selected review item, pick a random timestamp within its duration
+
+    Returns:
+        List of dicts with keys: camera, timestamp, review_item
+    """
+    # Group by camera and hour of day for temporal diversity
+    grouped = defaultdict(list)
+
+    for item in review_items:
+        camera = item.camera
+        # Group by 6-hour blocks for temporal diversity
+        hour_block = int(item.start_time // (6 * 3600))
+        key = f"{camera}_{hour_block}"
+        grouped[key].append(item)
+
+    # Calculate how many samples per group
+    num_groups = len(grouped)
+    if num_groups == 0:
+        return []
+
+    samples_per_group = max(1, target_count // num_groups)
+    timestamps = []
+
+    # Sample from each group
+    for group_items in grouped.values():
+        # Take samples_per_group items from this group
+        sample_size = min(samples_per_group, len(group_items))
+        sampled_items = random.sample(group_items, sample_size)
+
+        for item in sampled_items:
+            # Pick a random timestamp within the review item's duration
+            duration = item.end_time - item.start_time
+            if duration <= 0:
+                continue
+
+            # Sample from middle 80% to avoid edge artifacts
+            offset = random.uniform(duration * 0.1, duration * 0.9)
+            timestamp = item.start_time + offset
+
+            timestamps.append(
+                {
+                    "camera": item.camera,
+                    "timestamp": timestamp,
+                    "review_item": item,
+                }
+            )
+
+    # If we don't have enough, sample more from larger groups
+    while len(timestamps) < target_count and len(timestamps) < len(review_items):
+        for group_items in grouped.values():
+            if len(timestamps) >= target_count:
+                break
+
+            # Pick a random item not already sampled
+            item = random.choice(group_items)
+            duration = item.end_time - item.start_time
+            if duration <= 0:
+                continue
+
+            offset = random.uniform(duration * 0.1, duration * 0.9)
+            timestamp = item.start_time + offset
+
+            # Check if we already have a timestamp near this one
+            if not any(abs(t["timestamp"] - timestamp) < 1.0 for t in timestamps):
+                timestamps.append(
+                    {
+                        "camera": item.camera,
+                        "timestamp": timestamp,
+                        "review_item": item,
+                    }
+                )
+
+    return timestamps[:target_count]
+
+
+def _extract_keyframes(
+    ffmpeg_path: str,
+    timestamps: list[dict],
+    output_dir: str,
+    camera_crops: dict[str, tuple[float, float, float, float]],
+) -> list[str]:
+    """
+    Extract keyframes from recordings at specified timestamps and crop to specified regions.
+
+    This implementation batches work by running multiple ffmpeg snapshot commands
+    concurrently, which significantly reduces total runtime compared to
+    processing each timestamp serially.
+
+    Args:
+        ffmpeg_path: Path to ffmpeg binary
+        timestamps: List of timestamp dicts from _select_balanced_timestamps
+        output_dir: Directory to save extracted frames
+        camera_crops: Dict mapping camera names to normalized crop coordinates [x1, y1, x2, y2] (0-1)
+
+    Returns:
+        List of paths to successfully extracted and cropped keyframe images
+    """
+    from concurrent.futures import ThreadPoolExecutor, as_completed
+
+    if not timestamps:
+        return []
+
+    # Limit the number of concurrent ffmpeg processes so we don't overload the host.
+    max_workers = min(5, len(timestamps))
+
+    def _process_timestamp(idx: int, ts_info: dict) -> tuple[int, str | None]:
+        camera = ts_info["camera"]
+        timestamp = ts_info["timestamp"]
+
+        if camera not in camera_crops:
+            logger.warning(f"No crop coordinates for camera {camera}")
+            return idx, None
+
+        norm_x1, norm_y1, norm_x2, norm_y2 = camera_crops[camera]
+
+        try:
+            recording = (
+                Recordings.select()
+                .where(
+                    (timestamp >= Recordings.start_time)
+                    & (timestamp <= Recordings.end_time)
+                    & (Recordings.camera == camera)
+                )
+                .order_by(Recordings.start_time.desc())
+                .limit(1)
+                .get()
+            )
+        except Exception:
+            return idx, None
+
+        relative_time = timestamp - recording.start_time
+
+        try:
+            config = FfmpegConfig(path="/usr/lib/ffmpeg/7.0")
+            image_data = get_image_from_recording(
+                config,
+                recording.path,
+                relative_time,
+                codec="mjpeg",
+                height=None,
+            )
+
+            if not image_data:
+                return idx, None
+
+            nparr = np.frombuffer(image_data, np.uint8)
+            img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
+
+            if img is None:
+                return idx, None
+
+            height, width = img.shape[:2]
+
+            x1 = int(norm_x1 * width)
+            y1 = int(norm_y1 * height)
+            x2 = int(norm_x2 * width)
+            y2 = int(norm_y2 * height)
+
+            x1_clipped = max(0, min(x1, width))
+            y1_clipped = max(0, min(y1, height))
+            x2_clipped = max(0, min(x2, width))
+            y2_clipped = max(0, min(y2, height))
+
+            if x2_clipped <= x1_clipped or y2_clipped <= y1_clipped:
+                return idx, None
+
+            cropped = img[y1_clipped:y2_clipped, x1_clipped:x2_clipped]
+            resized = cv2.resize(cropped, (224, 224))
+
+            output_path = os.path.join(output_dir, f"frame_{idx:04d}.jpg")
+            cv2.imwrite(output_path, resized)
+            return idx, output_path
+        except Exception as e:
+            logger.debug(
+                f"Failed to extract frame from {recording.path} at {relative_time}s: {e}"
+            )
+            return idx, None
+
+    keyframes_with_index: list[tuple[int, str]] = []
+
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+        future_to_idx = {
+            executor.submit(_process_timestamp, idx, ts_info): idx
+            for idx, ts_info in enumerate(timestamps)
+        }
+
+        for future in as_completed(future_to_idx):
+            _, path = future.result()
+            if path:
+                keyframes_with_index.append((future_to_idx[future], path))
+
+    keyframes_with_index.sort(key=lambda item: item[0])
+    return [path for _, path in keyframes_with_index]
+
+
+def _select_distinct_images(
+    image_paths: list[str], target_count: int = 20
+) -> list[str]:
+    """
+    Select the most visually distinct images from a set of keyframes.
+
+    Uses a greedy algorithm based on image histograms:
+    1. Start with a random image
+    2. Iteratively add the image that is most different from already selected images
+    3. Difference is measured using histogram comparison
+
+    Args:
+        image_paths: List of paths to candidate images
+        target_count: Number of distinct images to select
+
+    Returns:
+        List of paths to selected images
+    """
+    if len(image_paths) <= target_count:
+        return image_paths
+
+    histograms = {}
+    valid_paths = []
+
+    for path in image_paths:
+        try:
+            img = cv2.imread(path)
+
+            if img is None:
+                continue
+
+            hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
+            hist = cv2.calcHist(
+                [hsv], [0, 1, 2], None, [8, 8, 8], [0, 180, 0, 256, 0, 256]
+            )
+            hist = cv2.normalize(hist, hist).flatten()
+            histograms[path] = hist
+            valid_paths.append(path)
+        except Exception as e:
+            logger.debug(f"Failed to process image {path}: {e}")
+            continue
+
+    if len(valid_paths) <= target_count:
+        return valid_paths
+
+    selected = []
+    first_image = random.choice(valid_paths)
+    selected.append(first_image)
+    remaining = [p for p in valid_paths if p != first_image]
+
+    while len(selected) < target_count and remaining:
+        max_min_distance = -1
+        best_candidate = None
+
+        for candidate in remaining:
+            min_distance = float("inf")
+
+            for selected_img in selected:
+                distance = cv2.compareHist(
+                    histograms[candidate],
+                    histograms[selected_img],
+                    cv2.HISTCMP_BHATTACHARYYA,
+                )
+                min_distance = min(min_distance, distance)
+
+            if min_distance > max_min_distance:
+                max_min_distance = min_distance
+                best_candidate = candidate
+
+        if best_candidate:
+            selected.append(best_candidate)
+            remaining.remove(best_candidate)
+        else:
+            break
+
+    return selected
+
+
+@staticmethod
+def collect_object_classification_examples(
+    model_name: str,
+    label: str,
+) -> None:
+    """
+    Collect representative object classification examples from event thumbnails.
+
+    This function:
+    1. Queries events for the specified label
+    2. Selects 100 balanced events across different cameras and times
+    3. Retrieves thumbnails for selected events (with 33% center crop applied)
+    4. Selects 24 most visually distinct thumbnails
+    5. Saves to dataset directory
+
+    Args:
+        model_name: Name of the classification model
+        label: Object label to collect (e.g., "person", "car")
+    """
+    model_name = model_name.strip()
+    dataset_dir = os.path.join(CLIPS_DIR, model_name, "dataset")
+    temp_dir = os.path.join(dataset_dir, "temp")
+    os.makedirs(temp_dir, exist_ok=True)
+
+    # Step 1: Query events for the specified label and cameras
+    events = list(
+        Event.select().where((Event.label == label)).order_by(Event.start_time.asc())
+    )
+
+    if not events:
+        logger.warning(f"No events found for label '{label}'")
+        return
+
+    logger.debug(f"Found {len(events)} events")
+
+    # Step 2: Select balanced events (100 samples)
+    selected_events = _select_balanced_events(events, target_count=100)
+    logger.debug(f"Selected {len(selected_events)} events")
+
+    # Step 3: Extract thumbnails from events
+    thumbnails = _extract_event_thumbnails(selected_events, temp_dir)
+    logger.debug(f"Successfully extracted {len(thumbnails)} thumbnails")
+
+    # Step 4: Select 24 most visually distinct thumbnails
+    distinct_images = _select_distinct_images(thumbnails, target_count=24)
+    logger.debug(f"Selected {len(distinct_images)} distinct images")
+
+    # Step 5: Save to train directory for later classification
+    train_dir = os.path.join(CLIPS_DIR, model_name, "train")
+    os.makedirs(train_dir, exist_ok=True)
+
+    saved_count = 0
+    for idx, image_path in enumerate(distinct_images):
+        dest_path = os.path.join(train_dir, f"example_{idx:03d}.jpg")
+        try:
+            img = cv2.imread(image_path)
+
+            if img is not None:
+                cv2.imwrite(dest_path, img)
+                saved_count += 1
+        except Exception as e:
+            logger.error(f"Failed to save image {image_path}: {e}")
+
+    import shutil
+
+    try:
+        shutil.rmtree(temp_dir)
+    except Exception as e:
+        logger.warning(f"Failed to clean up temp directory: {e}")
+
+    logger.debug(
+        f"Successfully collected {saved_count} classification examples in {train_dir}"
+    )
+
+
+def _select_balanced_events(
+    events: list[Event], target_count: int = 100
+) -> list[Event]:
+    """
+    Select balanced events from the event list.
+
+    Strategy:
+    - Group events by camera and time of day
+    - Sample evenly across groups to ensure diversity
+    - Prioritize events with higher scores
+
+    Returns:
+        List of selected events
+    """
+    grouped = defaultdict(list)
+
+    for event in events:
+        camera = event.camera
+        hour_block = int(event.start_time // (6 * 3600))
+        key = f"{camera}_{hour_block}"
+        grouped[key].append(event)
+
+    num_groups = len(grouped)
+    if num_groups == 0:
+        return []
+
+    samples_per_group = max(1, target_count // num_groups)
+    selected = []
+
+    for group_events in grouped.values():
+        sorted_events = sorted(
+            group_events,
+            key=lambda e: e.data.get("score", 0) if e.data else 0,
+            reverse=True,
+        )
+
+        sample_size = min(samples_per_group, len(sorted_events))
+        selected.extend(sorted_events[:sample_size])
+
+    if len(selected) < target_count:
+        remaining = [e for e in events if e not in selected]
+        remaining_sorted = sorted(
+            remaining,
+            key=lambda e: e.data.get("score", 0) if e.data else 0,
+            reverse=True,
+        )
+        needed = target_count - len(selected)
+        selected.extend(remaining_sorted[:needed])
+
+    return selected[:target_count]
+
+
+def _extract_event_thumbnails(events: list[Event], output_dir: str) -> list[str]:
+    """
+    Extract thumbnails from events and save to disk.
+
+    Args:
+        events: List of Event objects
+        output_dir: Directory to save thumbnails
+
+    Returns:
+        List of paths to successfully extracted thumbnail images
+    """
+    thumbnail_paths = []
+
+    for idx, event in enumerate(events):
+        try:
+            thumbnail_bytes = get_event_thumbnail_bytes(event)
+
+            if thumbnail_bytes:
+                nparr = np.frombuffer(thumbnail_bytes, np.uint8)
+                img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
+
+                if img is not None:
+                    height, width = img.shape[:2]
+
+                    crop_size = 1.0
+                    if event.data and "box" in event.data and "region" in event.data:
+                        box = event.data["box"]
+                        region = event.data["region"]
+
+                        if len(box) == 4 and len(region) == 4:
+                            box_w, box_h = box[2], box[3]
+                            region_w, region_h = region[2], region[3]
+
+                            box_area = (box_w * box_h) / (region_w * region_h)
+
+                            if box_area < 0.05:
+                                crop_size = 0.4
+                            elif box_area < 0.10:
+                                crop_size = 0.5
+                            elif box_area < 0.20:
+                                crop_size = 0.65
+                            elif box_area < 0.35:
+                                crop_size = 0.80
+                            else:
+                                crop_size = 0.95
+
+                    crop_width = int(width * crop_size)
+                    crop_height = int(height * crop_size)
+
+                    x1 = (width - crop_width) // 2
+                    y1 = (height - crop_height) // 2
+                    x2 = x1 + crop_width
+                    y2 = y1 + crop_height
+
+                    cropped = img[y1:y2, x1:x2]
+                    resized = cv2.resize(cropped, (224, 224))
+                    output_path = os.path.join(output_dir, f"thumbnail_{idx:04d}.jpg")
+                    cv2.imwrite(output_path, resized)
+                    thumbnail_paths.append(output_path)
+
+        except Exception as e:
+            logger.debug(f"Failed to extract thumbnail for event {event.id}: {e}")
+            continue
+
+    return thumbnail_paths
diff --git a/frigate/util/config.py b/frigate/util/config.py
index 56f5662fc..c3d796397 100644
--- a/frigate/util/config.py
+++ b/frigate/util/config.py
@@ -348,7 +348,7 @@ def migrate_016_0(config: dict[str, dict[str, Any]]) -> dict[str, dict[str, Any]
 
 
 def migrate_017_0(config: dict[str, dict[str, Any]]) -> dict[str, dict[str, Any]]:
-    """Handle migrating frigate config to 0.16-0"""
+    """Handle migrating frigate config to 0.17-0"""
     new_config = config.copy()
 
     # migrate global to new recording configuration
@@ -380,16 +380,17 @@ def migrate_017_0(config: dict[str, dict[str, Any]]) -> dict[str, dict[str, Any]
 
     if global_genai:
         new_genai_config = {}
-        new_object_config = config.get("objects", {})
+        new_object_config = new_config.get("objects", {})
         new_object_config["genai"] = {}
 
         for key in global_genai.keys():
-            if key not in ["enabled", "model", "provider", "base_url", "api_key"]:
-                new_object_config["genai"][key] = global_genai[key]
-            else:
+            if key in ["model", "provider", "base_url", "api_key"]:
                 new_genai_config[key] = global_genai[key]
+            else:
+                new_object_config["genai"][key] = global_genai[key]
 
-        config["genai"] = new_genai_config
+        new_config["genai"] = new_genai_config
+        new_config["objects"] = new_object_config
 
     for name, camera in config.get("cameras", {}).items():
         camera_config: dict[str, dict[str, Any]] = camera.copy()
@@ -415,8 +416,9 @@ def migrate_017_0(config: dict[str, dict[str, Any]]) -> dict[str, dict[str, Any]
         camera_genai = camera_config.get("genai", {})
 
         if camera_genai:
-            new_object_config = config.get("objects", {})
-            new_object_config["genai"] = camera_genai
+            camera_object_config = camera_config.get("objects", {})
+            camera_object_config["genai"] = camera_genai
+            camera_config["objects"] = camera_object_config
             del camera_config["genai"]
 
         new_config["cameras"][name] = camera_config
diff --git a/frigate/util/downloader.py b/frigate/util/downloader.py
index 49b05dd05..ee80b3816 100644
--- a/frigate/util/downloader.py
+++ b/frigate/util/downloader.py
@@ -1,7 +1,6 @@
 import logging
 import os
 import threading
-import time
 from pathlib import Path
 from typing import Callable, List
 
@@ -10,40 +9,11 @@ import requests
 from frigate.comms.inter_process import InterProcessRequestor
 from frigate.const import UPDATE_MODEL_STATE
 from frigate.types import ModelStatusTypesEnum
+from frigate.util.file import FileLock
 
 logger = logging.getLogger(__name__)
 
 
-class FileLock:
-    def __init__(self, path):
-        self.path = path
-        self.lock_file = f"{path}.lock"
-
-        # we have not acquired the lock yet so it should not exist
-        if os.path.exists(self.lock_file):
-            try:
-                os.remove(self.lock_file)
-            except Exception:
-                pass
-
-    def acquire(self):
-        parent_dir = os.path.dirname(self.lock_file)
-        os.makedirs(parent_dir, exist_ok=True)
-
-        while True:
-            try:
-                with open(self.lock_file, "x"):
-                    return
-            except FileExistsError:
-                time.sleep(0.1)
-
-    def release(self):
-        try:
-            os.remove(self.lock_file)
-        except FileNotFoundError:
-            pass
-
-
 class ModelDownloader:
     def __init__(
         self,
@@ -81,15 +51,13 @@ class ModelDownloader:
     def _download_models(self):
         for file_name in self.file_names:
             path = os.path.join(self.download_path, file_name)
-            lock = FileLock(path)
+            lock_path = f"{path}.lock"
+            lock = FileLock(lock_path, cleanup_stale_on_init=True)
 
             if not os.path.exists(path):
-                lock.acquire()
-                try:
+                with lock:
                     if not os.path.exists(path):
                         self.download_func(path)
-                finally:
-                    lock.release()
 
             self.requestor.send_data(
                 UPDATE_MODEL_STATE,
diff --git a/frigate/util/file.py b/frigate/util/file.py
new file mode 100644
index 000000000..22be3e511
--- /dev/null
+++ b/frigate/util/file.py
@@ -0,0 +1,276 @@
+"""Path and file utilities."""
+
+import base64
+import fcntl
+import logging
+import os
+import time
+from pathlib import Path
+from typing import Optional
+
+import cv2
+from numpy import ndarray
+
+from frigate.const import CLIPS_DIR, THUMB_DIR
+from frigate.models import Event
+
+logger = logging.getLogger(__name__)
+
+
+def get_event_thumbnail_bytes(event: Event) -> bytes | None:
+    if event.thumbnail:
+        return base64.b64decode(event.thumbnail)
+    else:
+        try:
+            with open(
+                os.path.join(THUMB_DIR, event.camera, f"{event.id}.webp"), "rb"
+            ) as f:
+                return f.read()
+        except Exception:
+            return None
+
+
+def get_event_snapshot(event: Event) -> ndarray:
+    media_name = f"{event.camera}-{event.id}"
+    return cv2.imread(f"{os.path.join(CLIPS_DIR, media_name)}.jpg")
+
+
+### Deletion
+
+
+def delete_event_images(event: Event) -> bool:
+    return delete_event_snapshot(event) and delete_event_thumbnail(event)
+
+
+def delete_event_snapshot(event: Event) -> bool:
+    media_name = f"{event.camera}-{event.id}"
+    media_path = Path(f"{os.path.join(CLIPS_DIR, media_name)}.jpg")
+
+    try:
+        media_path.unlink(missing_ok=True)
+        media_path = Path(f"{os.path.join(CLIPS_DIR, media_name)}-clean.webp")
+        media_path.unlink(missing_ok=True)
+        # also delete clean.png (legacy) for backward compatibility
+        media_path = Path(f"{os.path.join(CLIPS_DIR, media_name)}-clean.png")
+        media_path.unlink(missing_ok=True)
+        return True
+    except OSError:
+        return False
+
+
+def delete_event_thumbnail(event: Event) -> bool:
+    if event.thumbnail:
+        return True
+    else:
+        Path(os.path.join(THUMB_DIR, event.camera, f"{event.id}.webp")).unlink(
+            missing_ok=True
+        )
+        return True
+
+
+### File Locking
+
+
+class FileLock:
+    """
+    A file-based lock for coordinating access to resources across processes.
+
+    Uses fcntl.flock() for proper POSIX file locking on Linux. Supports timeouts,
+    stale lock detection, and can be used as a context manager.
+
+    Example:
+        ```python
+        # Using as a context manager (recommended)
+        with FileLock("/path/to/resource.lock", timeout=60):
+            # Critical section
+            do_something()
+
+        # Manual acquisition and release
+        lock = FileLock("/path/to/resource.lock")
+        if lock.acquire(timeout=60):
+            try:
+                do_something()
+            finally:
+                lock.release()
+        ```
+
+    Attributes:
+        lock_path: Path to the lock file
+        timeout: Maximum time to wait for lock acquisition (seconds)
+        poll_interval: Time to wait between lock acquisition attempts (seconds)
+        stale_timeout: Time after which a lock is considered stale (seconds)
+    """
+
+    def __init__(
+        self,
+        lock_path: str | Path,
+        timeout: int = 300,
+        poll_interval: float = 1.0,
+        stale_timeout: int = 600,
+        cleanup_stale_on_init: bool = False,
+    ):
+        """
+        Initialize a FileLock.
+
+        Args:
+            lock_path: Path to the lock file
+            timeout: Maximum time to wait for lock acquisition in seconds (default: 300)
+            poll_interval: Time to wait between lock attempts in seconds (default: 1.0)
+            stale_timeout: Time after which a lock is considered stale in seconds (default: 600)
+            cleanup_stale_on_init: Whether to clean up stale locks on initialization (default: False)
+        """
+        self.lock_path = Path(lock_path)
+        self.timeout = timeout
+        self.poll_interval = poll_interval
+        self.stale_timeout = stale_timeout
+        self._fd: Optional[int] = None
+        self._acquired = False
+
+        if cleanup_stale_on_init:
+            self._cleanup_stale_lock()
+
+    def _cleanup_stale_lock(self) -> bool:
+        """
+        Clean up a stale lock file if it exists and is old.
+
+        Returns:
+            True if lock was cleaned up, False otherwise
+        """
+        try:
+            if self.lock_path.exists():
+                # Check if lock file is older than stale_timeout
+                lock_age = time.time() - self.lock_path.stat().st_mtime
+                if lock_age > self.stale_timeout:
+                    logger.warning(
+                        f"Removing stale lock file: {self.lock_path} (age: {lock_age:.1f}s)"
+                    )
+                    self.lock_path.unlink()
+                    return True
+        except Exception as e:
+            logger.error(f"Error cleaning up stale lock: {e}")
+
+        return False
+
+    def is_stale(self) -> bool:
+        """
+        Check if the lock file is stale (older than stale_timeout).
+
+        Returns:
+            True if lock is stale, False otherwise
+        """
+        try:
+            if self.lock_path.exists():
+                lock_age = time.time() - self.lock_path.stat().st_mtime
+                return lock_age > self.stale_timeout
+        except Exception:
+            pass
+
+        return False
+
+    def acquire(self, timeout: Optional[int] = None) -> bool:
+        """
+        Acquire the file lock using fcntl.flock().
+
+        Args:
+            timeout: Maximum time to wait for lock in seconds (uses instance timeout if None)
+
+        Returns:
+            True if lock acquired, False if timeout or error
+        """
+        if self._acquired:
+            logger.warning(f"Lock already acquired: {self.lock_path}")
+            return True
+
+        if timeout is None:
+            timeout = self.timeout
+
+        # Ensure parent directory exists
+        self.lock_path.parent.mkdir(parents=True, exist_ok=True)
+
+        # Clean up stale lock before attempting to acquire
+        self._cleanup_stale_lock()
+
+        try:
+            self._fd = os.open(self.lock_path, os.O_CREAT | os.O_RDWR)
+
+            start_time = time.time()
+            while time.time() - start_time < timeout:
+                try:
+                    fcntl.flock(self._fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
+                    self._acquired = True
+                    logger.debug(f"Acquired lock: {self.lock_path}")
+                    return True
+                except (OSError, IOError):
+                    # Lock is held by another process
+                    if time.time() - start_time >= timeout:
+                        logger.warning(f"Timeout waiting for lock: {self.lock_path}")
+                        os.close(self._fd)
+                        self._fd = None
+                        return False
+
+                    time.sleep(self.poll_interval)
+
+            # Timeout reached
+            if self._fd is not None:
+                os.close(self._fd)
+                self._fd = None
+            return False
+
+        except Exception as e:
+            logger.error(f"Error acquiring lock: {e}")
+            if self._fd is not None:
+                try:
+                    os.close(self._fd)
+                except Exception:
+                    pass
+                self._fd = None
+            return False
+
+    def release(self) -> None:
+        """
+        Release the file lock.
+
+        This closes the file descriptor and removes the lock file.
+        """
+        if not self._acquired:
+            return
+
+        try:
+            # Close file descriptor and release fcntl lock
+            if self._fd is not None:
+                try:
+                    fcntl.flock(self._fd, fcntl.LOCK_UN)
+                    os.close(self._fd)
+                except Exception as e:
+                    logger.warning(f"Error closing lock file descriptor: {e}")
+                finally:
+                    self._fd = None
+
+            # Remove lock file
+            if self.lock_path.exists():
+                self.lock_path.unlink()
+                logger.debug(f"Released lock: {self.lock_path}")
+
+        except FileNotFoundError:
+            # Lock file already removed, that's fine
+            pass
+        except Exception as e:
+            logger.error(f"Error releasing lock: {e}")
+        finally:
+            self._acquired = False
+
+    def __enter__(self):
+        """Context manager entry - acquire the lock."""
+        if not self.acquire():
+            raise TimeoutError(f"Failed to acquire lock: {self.lock_path}")
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        """Context manager exit - release the lock."""
+        self.release()
+        return False
+
+    def __del__(self):
+        """Destructor - ensure lock is released."""
+        if self._acquired:
+            self.release()
diff --git a/frigate/util/image.py b/frigate/util/image.py
index 0ebd2f1a1..ea9fb0a0a 100644
--- a/frigate/util/image.py
+++ b/frigate/util/image.py
@@ -943,6 +943,58 @@ def add_mask(mask: str, mask_img: np.ndarray):
     cv2.fillPoly(mask_img, pts=[contour], color=(0))
 
 
+def run_ffmpeg_snapshot(
+    ffmpeg,
+    input_path: str,
+    codec: str,
+    seek_time: Optional[float] = None,
+    height: Optional[int] = None,
+    timeout: Optional[int] = None,
+) -> tuple[Optional[bytes], str]:
+    """Run ffmpeg to extract a snapshot/image from a video source."""
+    ffmpeg_cmd = [
+        ffmpeg.ffmpeg_path,
+        "-hide_banner",
+        "-loglevel",
+        "warning",
+    ]
+
+    if seek_time is not None:
+        ffmpeg_cmd.extend(["-ss", f"00:00:{seek_time}"])
+
+    ffmpeg_cmd.extend(
+        [
+            "-i",
+            input_path,
+            "-frames:v",
+            "1",
+            "-c:v",
+            codec,
+            "-f",
+            "image2pipe",
+            "-",
+        ]
+    )
+
+    if height is not None:
+        ffmpeg_cmd.insert(-3, "-vf")
+        ffmpeg_cmd.insert(-3, f"scale=-1:{height}")
+
+    try:
+        process = sp.run(
+            ffmpeg_cmd,
+            capture_output=True,
+            timeout=timeout,
+        )
+
+        if process.returncode == 0 and process.stdout:
+            return process.stdout, ""
+        else:
+            return None, process.stderr.decode() if process.stderr else "ffmpeg failed"
+    except sp.TimeoutExpired:
+        return None, "timeout"
+
+
 def get_image_from_recording(
     ffmpeg,  # Ffmpeg Config
     file_path: str,
@@ -952,37 +1004,11 @@ def get_image_from_recording(
 ) -> Optional[Any]:
     """retrieve a frame from given time in recording file."""
 
-    ffmpeg_cmd = [
-        ffmpeg.ffmpeg_path,
-        "-hide_banner",
-        "-loglevel",
-        "warning",
-        "-ss",
-        f"00:00:{relative_frame_time}",
-        "-i",
-        file_path,
-        "-frames:v",
-        "1",
-        "-c:v",
-        codec,
-        "-f",
-        "image2pipe",
-        "-",
-    ]
-
-    if height is not None:
-        ffmpeg_cmd.insert(-3, "-vf")
-        ffmpeg_cmd.insert(-3, f"scale=-1:{height}")
-
-    process = sp.run(
-        ffmpeg_cmd,
-        capture_output=True,
+    image_data, _ = run_ffmpeg_snapshot(
+        ffmpeg, file_path, codec, seek_time=relative_frame_time, height=height
     )
 
-    if process.returncode == 0:
-        return process.stdout
-    else:
-        return None
+    return image_data
 
 
 def get_histogram(image, x_min, y_min, x_max, y_max):
diff --git a/frigate/util/model.py b/frigate/util/model.py
index 308a16689..338303e2d 100644
--- a/frigate/util/model.py
+++ b/frigate/util/model.py
@@ -369,6 +369,10 @@ def get_ort_providers(
                     "enable_cpu_mem_arena": False,
                 }
             )
+        elif provider == "AzureExecutionProvider":
+            # Skip Azure provider - not typically available on local hardware
+            # and prevents fallback to OpenVINO when it's the first provider
+            continue
         else:
             providers.append(provider)
             options.append({})
diff --git a/frigate/util/path.py b/frigate/util/path.py
deleted file mode 100644
index 565f5a357..000000000
--- a/frigate/util/path.py
+++ /dev/null
@@ -1,59 +0,0 @@
-"""Path utilities."""
-
-import base64
-import os
-from pathlib import Path
-
-import cv2
-from numpy import ndarray
-
-from frigate.const import CLIPS_DIR, THUMB_DIR
-from frigate.models import Event
-
-
-def get_event_thumbnail_bytes(event: Event) -> bytes | None:
-    if event.thumbnail:
-        return base64.b64decode(event.thumbnail)
-    else:
-        try:
-            with open(
-                os.path.join(THUMB_DIR, event.camera, f"{event.id}.webp"), "rb"
-            ) as f:
-                return f.read()
-        except Exception:
-            return None
-
-
-def get_event_snapshot(event: Event) -> ndarray:
-    media_name = f"{event.camera}-{event.id}"
-    return cv2.imread(f"{os.path.join(CLIPS_DIR, media_name)}.jpg")
-
-
-### Deletion
-
-
-def delete_event_images(event: Event) -> bool:
-    return delete_event_snapshot(event) and delete_event_thumbnail(event)
-
-
-def delete_event_snapshot(event: Event) -> bool:
-    media_name = f"{event.camera}-{event.id}"
-    media_path = Path(f"{os.path.join(CLIPS_DIR, media_name)}.jpg")
-
-    try:
-        media_path.unlink(missing_ok=True)
-        media_path = Path(f"{os.path.join(CLIPS_DIR, media_name)}-clean.png")
-        media_path.unlink(missing_ok=True)
-        return True
-    except OSError:
-        return False
-
-
-def delete_event_thumbnail(event: Event) -> bool:
-    if event.thumbnail:
-        return True
-    else:
-        Path(os.path.join(THUMB_DIR, event.camera, f"{event.id}.webp")).unlink(
-            missing_ok=True
-        )
-        return True
diff --git a/frigate/util/process.py b/frigate/util/process.py
index b9fede44e..1613c1e43 100644
--- a/frigate/util/process.py
+++ b/frigate/util/process.py
@@ -1,7 +1,10 @@
+import atexit
 import faulthandler
 import logging
 import multiprocessing as mp
 import os
+import pathlib
+import subprocess
 import threading
 from logging.handlers import QueueHandler
 from multiprocessing.synchronize import Event as MpEvent
@@ -11,6 +14,7 @@ from setproctitle import setproctitle
 
 import frigate.log
 from frigate.config.logger import LoggerConfig
+from frigate.const import CONFIG_DIR
 
 
 class BaseProcess(mp.Process):
@@ -48,6 +52,7 @@ class FrigateProcess(BaseProcess):
 
     def before_start(self) -> None:
         self.__log_queue = frigate.log.log_listener.queue
+        self.__memray_tracker = None
 
     def pre_run_setup(self, logConfig: LoggerConfig | None = None) -> None:
         os.nice(self.priority)
@@ -60,7 +65,95 @@ class FrigateProcess(BaseProcess):
         logging.basicConfig(handlers=[], force=True)
         logging.getLogger().addHandler(QueueHandler(self.__log_queue))
 
+        # Always apply base log level suppressions for noisy third-party libraries
+        # even if no specific logConfig is provided
         if logConfig:
             frigate.log.apply_log_levels(
                 logConfig.default.value.upper(), logConfig.logs
             )
+        else:
+            # Apply default INFO level with standard library suppressions
+            frigate.log.apply_log_levels("INFO", {})
+
+        self._setup_memray()
+
+    def _setup_memray(self) -> None:
+        """Setup memray profiling if enabled via environment variable."""
+        memray_modules = os.environ.get("FRIGATE_MEMRAY_MODULES", "")
+
+        if not memray_modules:
+            return
+
+        # Extract module name from process name (e.g., "frigate.capture:camera" -> "frigate.capture")
+        process_name = self.name
+        module_name = (
+            process_name.split(":")[0] if ":" in process_name else process_name
+        )
+
+        enabled_modules = [m.strip() for m in memray_modules.split(",")]
+
+        if module_name not in enabled_modules and process_name not in enabled_modules:
+            return
+
+        try:
+            import memray
+
+            reports_dir = pathlib.Path(CONFIG_DIR) / "memray_reports"
+            reports_dir.mkdir(parents=True, exist_ok=True)
+            safe_name = (
+                process_name.replace(":", "_").replace("/", "_").replace("\\", "_")
+            )
+
+            binary_file = reports_dir / f"{safe_name}.bin"
+
+            self.__memray_tracker = memray.Tracker(str(binary_file))
+            self.__memray_tracker.__enter__()
+
+            # Register cleanup handler to stop tracking and generate HTML report
+            # atexit runs on normal exits and most signal-based terminations (SIGTERM, SIGINT)
+            # For hard kills (SIGKILL) or segfaults, the binary file is preserved for manual generation
+            atexit.register(self._cleanup_memray, safe_name, binary_file)
+
+            self.logger.info(
+                f"Memray profiling enabled for module {module_name} (process: {self.name}). "
+                f"Binary file (updated continuously): {binary_file}. "
+                f"HTML report will be generated on exit: {reports_dir}/{safe_name}.html. "
+                f"If process crashes, manually generate with: memray flamegraph {binary_file}"
+            )
+        except Exception as e:
+            self.logger.error(f"Failed to setup memray profiling: {e}", exc_info=True)
+
+    def _cleanup_memray(self, safe_name: str, binary_file: pathlib.Path) -> None:
+        """Stop memray tracking and generate HTML report."""
+        if self.__memray_tracker is None:
+            return
+
+        try:
+            self.__memray_tracker.__exit__(None, None, None)
+            self.__memray_tracker = None
+
+            reports_dir = pathlib.Path(CONFIG_DIR) / "memray_reports"
+            html_file = reports_dir / f"{safe_name}.html"
+
+            result = subprocess.run(
+                ["memray", "flamegraph", "--output", str(html_file), str(binary_file)],
+                capture_output=True,
+                text=True,
+                timeout=10,
+            )
+
+            if result.returncode == 0:
+                self.logger.info(f"Memray report generated: {html_file}")
+            else:
+                self.logger.error(
+                    f"Failed to generate memray report: {result.stderr}. "
+                    f"Binary file preserved at {binary_file} for manual generation."
+                )
+
+            # Keep the binary file for manual report generation if needed
+            # Users can run: memray flamegraph {binary_file}
+
+        except subprocess.TimeoutExpired:
+            self.logger.error("Memray report generation timed out")
+        except Exception as e:
+            self.logger.error(f"Failed to cleanup memray profiling: {e}", exc_info=True)
diff --git a/frigate/util/rknn_converter.py b/frigate/util/rknn_converter.py
index 48fc0139e..f7ebbf5e6 100644
--- a/frigate/util/rknn_converter.py
+++ b/frigate/util/rknn_converter.py
@@ -1,6 +1,5 @@
 """RKNN model conversion utility for Frigate."""
 
-import fcntl
 import logging
 import os
 import subprocess
@@ -9,6 +8,9 @@ import time
 from pathlib import Path
 from typing import Optional
 
+from frigate.const import SUPPORTED_RK_SOCS
+from frigate.util.file import FileLock
+
 logger = logging.getLogger(__name__)
 
 MODEL_TYPE_CONFIGS = {
@@ -67,9 +69,20 @@ def is_rknn_compatible(model_path: str, model_type: str | None = None) -> bool:
         True if the model is RKNN-compatible, False otherwise
     """
     soc = get_soc_type()
+
     if soc is None:
         return False
 
+    # Check if the SoC is actually a supported RK device
+    # This prevents false positives on non-RK devices (e.g., macOS Docker)
+    # where /proc/device-tree/compatible might exist but contain non-RK content
+    if soc not in SUPPORTED_RK_SOCS:
+        logger.debug(
+            f"SoC '{soc}' is not a supported RK device for RKNN conversion. "
+            f"Supported SoCs: {SUPPORTED_RK_SOCS}"
+        )
+        return False
+
     if not model_type:
         model_type = get_rknn_model_type(model_path)
 
@@ -129,8 +142,13 @@ def get_soc_type() -> Optional[str]:
     """Get the SoC type from device tree."""
     try:
         with open("/proc/device-tree/compatible") as file:
-            soc = file.read().split(",")[-1].strip("\x00")
-            return soc
+            content = file.read()
+
+            # Check for Jetson devices
+            if "nvidia" in content:
+                return None
+
+            return content.split(",")[-1].strip("\x00")
     except FileNotFoundError:
         logger.debug("Could not determine SoC type from device tree")
         return None
@@ -245,112 +263,6 @@ def convert_onnx_to_rknn(
                 logger.warning(f"Failed to remove temporary ONNX file: {e}")
 
 
-def cleanup_stale_lock(lock_file_path: Path) -> bool:
-    """
-    Clean up a stale lock file if it exists and is old.
-
-    Args:
-        lock_file_path: Path to the lock file
-
-    Returns:
-        True if lock was cleaned up, False otherwise
-    """
-    try:
-        if lock_file_path.exists():
-            # Check if lock file is older than 10 minutes (stale)
-            lock_age = time.time() - lock_file_path.stat().st_mtime
-            if lock_age > 600:  # 10 minutes
-                logger.warning(
-                    f"Removing stale lock file: {lock_file_path} (age: {lock_age:.1f}s)"
-                )
-                lock_file_path.unlink()
-                return True
-    except Exception as e:
-        logger.error(f"Error cleaning up stale lock: {e}")
-
-    return False
-
-
-def acquire_conversion_lock(lock_file_path: Path, timeout: int = 300) -> bool:
-    """
-    Acquire a file-based lock for model conversion.
-
-    Args:
-        lock_file_path: Path to the lock file
-        timeout: Maximum time to wait for lock in seconds
-
-    Returns:
-        True if lock acquired, False if timeout or error
-    """
-    try:
-        lock_file_path.parent.mkdir(parents=True, exist_ok=True)
-        cleanup_stale_lock(lock_file_path)
-        lock_fd = os.open(lock_file_path, os.O_CREAT | os.O_RDWR)
-
-        # Try to acquire exclusive lock
-        start_time = time.time()
-        while time.time() - start_time < timeout:
-            try:
-                fcntl.flock(lock_fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
-                # Lock acquired successfully
-                logger.debug(f"Acquired conversion lock: {lock_file_path}")
-                return True
-            except (OSError, IOError):
-                # Lock is held by another process, wait and retry
-                if time.time() - start_time >= timeout:
-                    logger.warning(
-                        f"Timeout waiting for conversion lock: {lock_file_path}"
-                    )
-                    os.close(lock_fd)
-                    return False
-
-                logger.debug("Waiting for conversion lock to be released...")
-                time.sleep(1)
-
-        os.close(lock_fd)
-        return False
-
-    except Exception as e:
-        logger.error(f"Error acquiring conversion lock: {e}")
-        return False
-
-
-def release_conversion_lock(lock_file_path: Path) -> None:
-    """
-    Release the conversion lock.
-
-    Args:
-        lock_file_path: Path to the lock file
-    """
-    try:
-        if lock_file_path.exists():
-            lock_file_path.unlink()
-            logger.debug(f"Released conversion lock: {lock_file_path}")
-    except Exception as e:
-        logger.error(f"Error releasing conversion lock: {e}")
-
-
-def is_lock_stale(lock_file_path: Path, max_age: int = 600) -> bool:
-    """
-    Check if a lock file is stale (older than max_age seconds).
-
-    Args:
-        lock_file_path: Path to the lock file
-        max_age: Maximum age in seconds before considering lock stale
-
-    Returns:
-        True if lock is stale, False otherwise
-    """
-    try:
-        if lock_file_path.exists():
-            lock_age = time.time() - lock_file_path.stat().st_mtime
-            return lock_age > max_age
-    except Exception:
-        pass
-
-    return False
-
-
 def wait_for_conversion_completion(
     model_type: str, rknn_path: Path, lock_file_path: Path, timeout: int = 300
 ) -> bool:
@@ -358,6 +270,7 @@ def wait_for_conversion_completion(
     Wait for another process to complete the conversion.
 
     Args:
+        model_type: Type of model being converted
         rknn_path: Path to the expected RKNN model
         lock_file_path: Path to the lock file to monitor
         timeout: Maximum time to wait in seconds
@@ -366,6 +279,8 @@ def wait_for_conversion_completion(
         True if RKNN model appears, False if timeout
     """
     start_time = time.time()
+    lock = FileLock(lock_file_path, stale_timeout=600)
+
     while time.time() - start_time < timeout:
         # Check if RKNN model appeared
         if rknn_path.exists():
@@ -385,11 +300,14 @@ def wait_for_conversion_completion(
                 return False
 
         # Check if lock is stale
-        if is_lock_stale(lock_file_path):
+        if lock.is_stale():
             logger.warning("Lock file is stale, attempting to clean up and retry...")
-            cleanup_stale_lock(lock_file_path)
+            lock._cleanup_stale_lock()
             # Try to acquire lock again
-            if acquire_conversion_lock(lock_file_path, timeout=60):
+            retry_lock = FileLock(
+                lock_file_path, timeout=60, cleanup_stale_on_init=True
+            )
+            if retry_lock.acquire():
                 try:
                     # Check if RKNN file appeared while waiting
                     if rknn_path.exists():
@@ -415,7 +333,7 @@ def wait_for_conversion_completion(
                     return False
 
                 finally:
-                    release_conversion_lock(lock_file_path)
+                    retry_lock.release()
 
         logger.debug("Waiting for RKNN model to appear...")
         time.sleep(1)
@@ -452,8 +370,9 @@ def auto_convert_model(
             return str(rknn_path)
 
         lock_file_path = base_path.parent / f"{base_name}.conversion.lock"
+        lock = FileLock(lock_file_path, timeout=300, cleanup_stale_on_init=True)
 
-        if acquire_conversion_lock(lock_file_path):
+        if lock.acquire():
             try:
                 if rknn_path.exists():
                     logger.info(
@@ -476,7 +395,7 @@ def auto_convert_model(
                     return None
 
             finally:
-                release_conversion_lock(lock_file_path)
+                lock.release()
         else:
             logger.info(
                 f"Another process is converting {model_path}, waiting for completion..."
diff --git a/frigate/util/services.py b/frigate/util/services.py
index 28497e803..64d83833d 100644
--- a/frigate/util/services.py
+++ b/frigate/util/services.py
@@ -9,6 +9,7 @@ import resource
 import shutil
 import signal
 import subprocess as sp
+import time
 import traceback
 from datetime import datetime
 from typing import Any, List, Optional, Tuple
@@ -388,6 +389,39 @@ def get_intel_gpu_stats(intel_gpu_device: Optional[str]) -> Optional[dict[str, s
         return results
 
 
+def get_openvino_npu_stats() -> Optional[dict[str, str]]:
+    """Get NPU stats using openvino."""
+    NPU_RUNTIME_PATH = "/sys/devices/pci0000:00/0000:00:0b.0/power/runtime_active_time"
+
+    try:
+        with open(NPU_RUNTIME_PATH, "r") as f:
+            initial_runtime = float(f.read().strip())
+
+        initial_time = time.time()
+
+        # Sleep for 1 second to get an accurate reading
+        time.sleep(1.0)
+
+        # Read runtime value again
+        with open(NPU_RUNTIME_PATH, "r") as f:
+            current_runtime = float(f.read().strip())
+
+        current_time = time.time()
+
+        # Calculate usage percentage
+        runtime_diff = current_runtime - initial_runtime
+        time_diff = (current_time - initial_time) * 1000.0  # Convert to milliseconds
+
+        if time_diff > 0:
+            usage = min(100.0, max(0.0, (runtime_diff / time_diff * 100.0)))
+        else:
+            usage = 0.0
+
+        return {"npu": f"{round(usage, 2)}", "mem": "-"}
+    except (FileNotFoundError, PermissionError, ValueError):
+        return None
+
+
 def get_rockchip_gpu_stats() -> Optional[dict[str, str]]:
     """Get GPU stats using rk."""
     try:
@@ -506,18 +540,36 @@ def get_jetson_stats() -> Optional[dict[int, dict]]:
     try:
         results["mem"] = "-"  # no discrete gpu memory
 
-        with open("/sys/devices/gpu.0/load", "r") as f:
-            gpuload = float(f.readline()) / 10
-            results["gpu"] = f"{gpuload}%"
+        if os.path.exists("/sys/devices/gpu.0/load"):
+            with open("/sys/devices/gpu.0/load", "r") as f:
+                gpuload = float(f.readline()) / 10
+                results["gpu"] = f"{gpuload}%"
+        elif os.path.exists("/sys/devices/platform/gpu.0/load"):
+            with open("/sys/devices/platform/gpu.0/load", "r") as f:
+                gpuload = float(f.readline()) / 10
+                results["gpu"] = f"{gpuload}%"
+        else:
+            results["gpu"] = "-"
     except Exception:
         return None
 
     return results
 
 
-def ffprobe_stream(ffmpeg, path: str) -> sp.CompletedProcess:
+def ffprobe_stream(ffmpeg, path: str, detailed: bool = False) -> sp.CompletedProcess:
     """Run ffprobe on stream."""
     clean_path = escape_special_characters(path)
+
+    # Base entries that are always included
+    stream_entries = "codec_long_name,width,height,bit_rate,duration,display_aspect_ratio,avg_frame_rate"
+
+    # Additional detailed entries
+    if detailed:
+        stream_entries += ",codec_name,profile,level,pix_fmt,channels,sample_rate,channel_layout,r_frame_rate"
+        format_entries = "format_name,size,bit_rate,duration"
+    else:
+        format_entries = None
+
     ffprobe_cmd = [
         ffmpeg.ffprobe_path,
         "-timeout",
@@ -525,11 +577,15 @@ def ffprobe_stream(ffmpeg, path: str) -> sp.CompletedProcess:
         "-print_format",
         "json",
         "-show_entries",
-        "stream=codec_long_name,width,height,bit_rate,duration,display_aspect_ratio,avg_frame_rate",
-        "-loglevel",
-        "quiet",
-        clean_path,
+        f"stream={stream_entries}",
     ]
+
+    # Add format entries for detailed mode
+    if detailed and format_entries:
+        ffprobe_cmd.extend(["-show_entries", f"format={format_entries}"])
+
+    ffprobe_cmd.extend(["-loglevel", "error", clean_path])
+
     return sp.run(ffprobe_cmd, capture_output=True)
 
 
diff --git a/frigate/util/time.py b/frigate/util/time.py
new file mode 100644
index 000000000..1e7b49c24
--- /dev/null
+++ b/frigate/util/time.py
@@ -0,0 +1,100 @@
+"""Time utilities."""
+
+import datetime
+import logging
+from typing import Tuple
+from zoneinfo import ZoneInfoNotFoundError
+
+import pytz
+from tzlocal import get_localzone
+
+logger = logging.getLogger(__name__)
+
+
+def get_tz_modifiers(tz_name: str) -> Tuple[str, str, float]:
+    seconds_offset = (
+        datetime.datetime.now(pytz.timezone(tz_name)).utcoffset().total_seconds()
+    )
+    hours_offset = int(seconds_offset / 60 / 60)
+    minutes_offset = int(seconds_offset / 60 - hours_offset * 60)
+    hour_modifier = f"{hours_offset} hour"
+    minute_modifier = f"{minutes_offset} minute"
+    return hour_modifier, minute_modifier, seconds_offset
+
+
+def get_tomorrow_at_time(hour: int) -> datetime.datetime:
+    """Returns the datetime of the following day at 2am."""
+    try:
+        tomorrow = datetime.datetime.now(get_localzone()) + datetime.timedelta(days=1)
+    except ZoneInfoNotFoundError:
+        tomorrow = datetime.datetime.now(datetime.timezone.utc) + datetime.timedelta(
+            days=1
+        )
+        logger.warning(
+            "Using utc for maintenance due to missing or incorrect timezone set"
+        )
+
+    return tomorrow.replace(hour=hour, minute=0, second=0).astimezone(
+        datetime.timezone.utc
+    )
+
+
+def is_current_hour(timestamp: int) -> bool:
+    """Returns if timestamp is in the current UTC hour."""
+    start_of_next_hour = (
+        datetime.datetime.now(datetime.timezone.utc).replace(
+            minute=0, second=0, microsecond=0
+        )
+        + datetime.timedelta(hours=1)
+    ).timestamp()
+    return timestamp < start_of_next_hour
+
+
+def get_dst_transitions(
+    tz_name: str, start_time: float, end_time: float
+) -> list[tuple[float, float]]:
+    """
+    Find DST transition points and return time periods with consistent offsets.
+
+    Args:
+        tz_name: Timezone name (e.g., 'America/New_York')
+        start_time: Start timestamp (UTC)
+        end_time: End timestamp (UTC)
+
+    Returns:
+        List of (period_start, period_end, seconds_offset) tuples representing
+        continuous periods with the same UTC offset
+    """
+    try:
+        tz = pytz.timezone(tz_name)
+    except pytz.UnknownTimeZoneError:
+        # If timezone is invalid, return single period with no offset
+        return [(start_time, end_time, 0)]
+
+    periods = []
+    current = start_time
+
+    # Get initial offset
+    dt = datetime.datetime.utcfromtimestamp(current).replace(tzinfo=pytz.UTC)
+    local_dt = dt.astimezone(tz)
+    prev_offset = local_dt.utcoffset().total_seconds()
+    period_start = start_time
+
+    # Check each day for offset changes
+    while current <= end_time:
+        dt = datetime.datetime.utcfromtimestamp(current).replace(tzinfo=pytz.UTC)
+        local_dt = dt.astimezone(tz)
+        current_offset = local_dt.utcoffset().total_seconds()
+
+        if current_offset != prev_offset:
+            # Found a transition - close previous period
+            periods.append((period_start, current, prev_offset))
+            period_start = current
+            prev_offset = current_offset
+
+        current += 86400  # Check daily
+
+    # Add final period
+    periods.append((period_start, end_time, prev_offset))
+
+    return periods
diff --git a/frigate/video.py b/frigate/video.py
index 2b88b24ff..615c61d61 100755
--- a/frigate/video.py
+++ b/frigate/video.py
@@ -16,7 +16,7 @@ from frigate.comms.recordings_updater import (
     RecordingsDataSubscriber,
     RecordingsDataTypeEnum,
 )
-from frigate.config import CameraConfig, DetectConfig, ModelConfig
+from frigate.config import CameraConfig, DetectConfig, LoggerConfig, ModelConfig
 from frigate.config.camera.camera import CameraTypeEnum
 from frigate.config.camera.updater import (
     CameraConfigUpdateEnum,
@@ -34,7 +34,7 @@ from frigate.ptz.autotrack import ptz_moving_at_frame_time
 from frigate.track import ObjectTracker
 from frigate.track.norfair_tracker import NorfairTracker
 from frigate.track.tracked_object import TrackedObjectAttribute
-from frigate.util.builtin import EventsPerSecond, get_tomorrow_at_time
+from frigate.util.builtin import EventsPerSecond
 from frigate.util.image import (
     FrameManager,
     SharedMemoryFrameManager,
@@ -53,6 +53,7 @@ from frigate.util.object import (
     reduce_detections,
 )
 from frigate.util.process import FrigateProcess
+from frigate.util.time import get_tomorrow_at_time
 
 logger = logging.getLogger(__name__)
 
@@ -63,10 +64,12 @@ def stop_ffmpeg(ffmpeg_process: sp.Popen[Any], logger: logging.Logger):
     try:
         logger.info("Waiting for ffmpeg to exit gracefully...")
         ffmpeg_process.communicate(timeout=30)
+        logger.info("FFmpeg has exited")
     except sp.TimeoutExpired:
         logger.info("FFmpeg didn't exit. Force killing...")
         ffmpeg_process.kill()
         ffmpeg_process.communicate()
+        logger.info("FFmpeg has been killed")
     ffmpeg_process = None
 
 
@@ -123,45 +126,50 @@ def capture_frames(
         config_subscriber.check_for_updates()
         return config.enabled
 
-    while not stop_event.is_set():
-        if not get_enabled_state():
-            logger.debug(f"Stopping capture thread for disabled {config.name}")
-            break
-
-        fps.value = frame_rate.eps()
-        skipped_fps.value = skipped_eps.eps()
-        current_frame.value = datetime.now().timestamp()
-        frame_name = f"{config.name}_frame{frame_index}"
-        frame_buffer = frame_manager.write(frame_name)
-        try:
-            frame_buffer[:] = ffmpeg_process.stdout.read(frame_size)
-        except Exception:
-            # shutdown has been initiated
-            if stop_event.is_set():
+    try:
+        while not stop_event.is_set():
+            if not get_enabled_state():
+                logger.debug(f"Stopping capture thread for disabled {config.name}")
                 break
 
-            logger.error(f"{config.name}: Unable to read frames from ffmpeg process.")
+            fps.value = frame_rate.eps()
+            skipped_fps.value = skipped_eps.eps()
+            current_frame.value = datetime.now().timestamp()
+            frame_name = f"{config.name}_frame{frame_index}"
+            frame_buffer = frame_manager.write(frame_name)
+            try:
+                frame_buffer[:] = ffmpeg_process.stdout.read(frame_size)
+            except Exception:
+                # shutdown has been initiated
+                if stop_event.is_set():
+                    break
 
-            if ffmpeg_process.poll() is not None:
                 logger.error(
-                    f"{config.name}: ffmpeg process is not running. exiting capture thread..."
+                    f"{config.name}: Unable to read frames from ffmpeg process."
                 )
-                break
 
-            continue
+                if ffmpeg_process.poll() is not None:
+                    logger.error(
+                        f"{config.name}: ffmpeg process is not running. exiting capture thread..."
+                    )
+                    break
 
-        frame_rate.update()
+                continue
 
-        # don't lock the queue to check, just try since it should rarely be full
-        try:
-            # add to the queue
-            frame_queue.put((frame_name, current_frame.value), False)
-            frame_manager.close(frame_name)
-        except queue.Full:
-            # if the queue is full, skip this frame
-            skipped_eps.update()
+            frame_rate.update()
 
-        frame_index = 0 if frame_index == shm_frame_count - 1 else frame_index + 1
+            # don't lock the queue to check, just try since it should rarely be full
+            try:
+                # add to the queue
+                frame_queue.put((frame_name, current_frame.value), False)
+                frame_manager.close(frame_name)
+            except queue.Full:
+                # if the queue is full, skip this frame
+                skipped_eps.update()
+
+            frame_index = 0 if frame_index == shm_frame_count - 1 else frame_index + 1
+    finally:
+        config_subscriber.stop()
 
 
 class CameraWatchdog(threading.Thread):
@@ -195,7 +203,9 @@ class CameraWatchdog(threading.Thread):
         self.sleeptime = self.config.ffmpeg.retry_interval
 
         self.config_subscriber = CameraConfigUpdateSubscriber(
-            None, {config.name: config}, [CameraConfigUpdateEnum.enabled]
+            None,
+            {config.name: config},
+            [CameraConfigUpdateEnum.enabled, CameraConfigUpdateEnum.record],
         )
         self.requestor = InterProcessRequestor()
         self.was_enabled = self.config.enabled
@@ -231,6 +241,16 @@ class CameraWatchdog(threading.Thread):
                 else:
                     self.ffmpeg_detect_process.wait()
 
+        # Wait for old capture thread to fully exit before starting a new one
+        if self.capture_thread is not None and self.capture_thread.is_alive():
+            self.logger.info("Waiting for capture thread to exit...")
+            self.capture_thread.join(timeout=5)
+
+            if self.capture_thread.is_alive():
+                self.logger.warning(
+                    f"Capture thread for {self.config.name} did not exit in time"
+                )
+
         self.logger.error(
             "The following ffmpeg logs include the last 100 lines prior to exit."
         )
@@ -536,6 +556,7 @@ class CameraCapture(FrigateProcess):
         shm_frame_count: int,
         camera_metrics: CameraMetrics,
         stop_event: MpEvent,
+        log_config: LoggerConfig | None = None,
     ) -> None:
         super().__init__(
             stop_event,
@@ -546,9 +567,10 @@ class CameraCapture(FrigateProcess):
         self.config = config
         self.shm_frame_count = shm_frame_count
         self.camera_metrics = camera_metrics
+        self.log_config = log_config
 
     def run(self) -> None:
-        self.pre_run_setup()
+        self.pre_run_setup(self.log_config)
         camera_watchdog = CameraWatchdog(
             self.config,
             self.shm_frame_count,
@@ -574,6 +596,7 @@ class CameraTracker(FrigateProcess):
         ptz_metrics: PTZMetrics,
         region_grid: list[list[dict[str, Any]]],
         stop_event: MpEvent,
+        log_config: LoggerConfig | None = None,
     ) -> None:
         super().__init__(
             stop_event,
@@ -589,9 +612,10 @@ class CameraTracker(FrigateProcess):
         self.camera_metrics = camera_metrics
         self.ptz_metrics = ptz_metrics
         self.region_grid = region_grid
+        self.log_config = log_config
 
     def run(self) -> None:
-        self.pre_run_setup()
+        self.pre_run_setup(self.log_config)
         frame_queue = self.camera_metrics.frame_queue
         frame_shape = self.config.frame_shape
 
@@ -749,6 +773,7 @@ def process_frames(
             camera_enabled = camera_config.enabled
 
         if "motion" in updated_configs:
+            motion_detector.config = camera_config.motion
             motion_detector.update_mask()
 
         if (
diff --git a/migrations/001_create_events_table.py b/migrations/001_create_events_table.py
index 9e8ad1b60..57f9aa678 100644
--- a/migrations/001_create_events_table.py
+++ b/migrations/001_create_events_table.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/002_add_clip_snapshot.py b/migrations/002_add_clip_snapshot.py
index 1431c9c85..47a46f572 100644
--- a/migrations/002_add_clip_snapshot.py
+++ b/migrations/002_add_clip_snapshot.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/003_create_recordings_table.py b/migrations/003_create_recordings_table.py
index 77f9827cf..3956ae929 100644
--- a/migrations/003_create_recordings_table.py
+++ b/migrations/003_create_recordings_table.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/004_add_bbox_region_area.py b/migrations/004_add_bbox_region_area.py
index da4ca7ac8..a1aa35aab 100644
--- a/migrations/004_add_bbox_region_area.py
+++ b/migrations/004_add_bbox_region_area.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/005_make_end_time_nullable.py b/migrations/005_make_end_time_nullable.py
index 87d0e3fd4..d80d31d88 100644
--- a/migrations/005_make_end_time_nullable.py
+++ b/migrations/005_make_end_time_nullable.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/006_add_motion_active_objects.py b/migrations/006_add_motion_active_objects.py
index 6ab67ee3a..2fe1f908a 100644
--- a/migrations/006_add_motion_active_objects.py
+++ b/migrations/006_add_motion_active_objects.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/007_add_retain_indefinitely.py b/migrations/007_add_retain_indefinitely.py
index cb5f9da92..e5d07ab7a 100644
--- a/migrations/007_add_retain_indefinitely.py
+++ b/migrations/007_add_retain_indefinitely.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/008_add_sub_label.py b/migrations/008_add_sub_label.py
index 56c4bb75a..bba38343a 100644
--- a/migrations/008_add_sub_label.py
+++ b/migrations/008_add_sub_label.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/009_add_object_filter_ratio.py b/migrations/009_add_object_filter_ratio.py
index e5a00683d..77a25ebab 100644
--- a/migrations/009_add_object_filter_ratio.py
+++ b/migrations/009_add_object_filter_ratio.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/010_add_plus_image_id.py b/migrations/010_add_plus_image_id.py
index 6b8c7ccc6..d403dbb71 100644
--- a/migrations/010_add_plus_image_id.py
+++ b/migrations/010_add_plus_image_id.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/011_update_indexes.py b/migrations/011_update_indexes.py
index 5c13baa54..6d411d3df 100644
--- a/migrations/011_update_indexes.py
+++ b/migrations/011_update_indexes.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/012_add_segment_size.py b/migrations/012_add_segment_size.py
index 7a1c79736..8ea91a126 100644
--- a/migrations/012_add_segment_size.py
+++ b/migrations/012_add_segment_size.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/013_create_timeline_table.py b/migrations/013_create_timeline_table.py
index 7a83d96c7..9ed260621 100644
--- a/migrations/013_create_timeline_table.py
+++ b/migrations/013_create_timeline_table.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/014_event_updates_for_fp.py b/migrations/014_event_updates_for_fp.py
index caa609bfa..f44f6c93b 100644
--- a/migrations/014_event_updates_for_fp.py
+++ b/migrations/014_event_updates_for_fp.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/015_event_refactor.py b/migrations/015_event_refactor.py
index 1bcb9c510..92d8a165e 100644
--- a/migrations/015_event_refactor.py
+++ b/migrations/015_event_refactor.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/016_sublabel_increase.py b/migrations/016_sublabel_increase.py
index 536ea0a61..66411ffae 100644
--- a/migrations/016_sublabel_increase.py
+++ b/migrations/016_sublabel_increase.py
@@ -4,8 +4,8 @@ from frigate.models import Event
 
 
 def migrate(migrator, database, fake=False, **kwargs):
-    migrator.change_columns(Event, sub_label=pw.CharField(max_length=100, null=True))
+    migrator.change_fields(Event, sub_label=pw.CharField(max_length=100, null=True))
 
 
 def rollback(migrator, database, fake=False, **kwargs):
-    migrator.change_columns(Event, sub_label=pw.CharField(max_length=20, null=True))
+    migrator.change_fields(Event, sub_label=pw.CharField(max_length=20, null=True))
diff --git a/migrations/017_update_indexes.py b/migrations/017_update_indexes.py
index 66d1fcc6a..63685eaf7 100644
--- a/migrations/017_update_indexes.py
+++ b/migrations/017_update_indexes.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/018_add_dbfs.py b/migrations/018_add_dbfs.py
index 5b5c56b9d..485e954e3 100644
--- a/migrations/018_add_dbfs.py
+++ b/migrations/018_add_dbfs.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/019_create_regions_table.py b/migrations/019_create_regions_table.py
index 2900b78d2..961aaf81d 100644
--- a/migrations/019_create_regions_table.py
+++ b/migrations/019_create_regions_table.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/020_update_index_recordings.py b/migrations/020_update_index_recordings.py
index 7d0c2b860..d6af71c7c 100644
--- a/migrations/020_update_index_recordings.py
+++ b/migrations/020_update_index_recordings.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/021_create_previews_table.py b/migrations/021_create_previews_table.py
index 1036e7cdd..b77536099 100644
--- a/migrations/021_create_previews_table.py
+++ b/migrations/021_create_previews_table.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/022_create_review_segment_table.py b/migrations/022_create_review_segment_table.py
index 681795e37..91d0c8c6b 100644
--- a/migrations/022_create_review_segment_table.py
+++ b/migrations/022_create_review_segment_table.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/023_add_regions.py b/migrations/023_add_regions.py
index 17d93962a..7649baa14 100644
--- a/migrations/023_add_regions.py
+++ b/migrations/023_add_regions.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/024_create_export_table.py b/migrations/024_create_export_table.py
index 414bd712e..8de2f17d4 100644
--- a/migrations/024_create_export_table.py
+++ b/migrations/024_create_export_table.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/025_create_user_table.py b/migrations/025_create_user_table.py
index 6b971a6f1..dec57d66f 100644
--- a/migrations/025_create_user_table.py
+++ b/migrations/025_create_user_table.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/026_add_notification_tokens.py b/migrations/026_add_notification_tokens.py
index 37506c406..23860c58f 100644
--- a/migrations/026_add_notification_tokens.py
+++ b/migrations/026_add_notification_tokens.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/027_create_explore_index.py b/migrations/027_create_explore_index.py
index 6d0012c6c..f08c0bbc9 100644
--- a/migrations/027_create_explore_index.py
+++ b/migrations/027_create_explore_index.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/028_optional_event_thumbnail.py b/migrations/028_optional_event_thumbnail.py
index 3e36a28cc..52177004b 100644
--- a/migrations/028_optional_event_thumbnail.py
+++ b/migrations/028_optional_event_thumbnail.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/029_add_user_role.py b/migrations/029_add_user_role.py
index 484e0c548..e0fb1bb16 100644
--- a/migrations/029_add_user_role.py
+++ b/migrations/029_add_user_role.py
@@ -5,7 +5,7 @@ Some examples (model - class or model name)::
     > Model = migrator.orm['model_name']            # Return model in current state by name
 
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/030_create_user_review_status.py b/migrations/030_create_user_review_status.py
index 17f2b36b9..ddcf063ec 100644
--- a/migrations/030_create_user_review_status.py
+++ b/migrations/030_create_user_review_status.py
@@ -8,7 +8,7 @@ Some examples (model - class or model_name)::
 
     > Model = migrator.orm['model_name']            # Return model in current state by name
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
@@ -54,7 +54,9 @@ def migrate(migrator, database, fake=False, **kwargs):
 
     # Migrate existing has_been_reviewed data to UserReviewStatus for all users
     def migrate_data():
-        all_users = list(User.select())
+        # Use raw SQL to avoid ORM issues with columns that don't exist yet
+        cursor = database.execute_sql('SELECT "username" FROM "user"')
+        all_users = cursor.fetchall()
         if not all_users:
             return
 
@@ -63,7 +65,7 @@ def migrate(migrator, database, fake=False, **kwargs):
         )
         reviewed_segment_ids = [row[0] for row in cursor.fetchall()]
         # also migrate for anonymous (unauthenticated users)
-        usernames = [user.username for user in all_users] + ["anonymous"]
+        usernames = [user[0] for user in all_users] + ["anonymous"]
 
         for segment_id in reviewed_segment_ids:
             for username in usernames:
@@ -74,7 +76,7 @@ def migrate(migrator, database, fake=False, **kwargs):
                 )
 
     if not fake:  # Only run data migration if not faking
-        migrator.python(migrate_data)
+        migrator.run(migrate_data)
 
     migrator.sql('ALTER TABLE "reviewsegment" DROP COLUMN "has_been_reviewed"')
 
diff --git a/migrations/031_create_trigger_table.py b/migrations/031_create_trigger_table.py
index 7c8c289cc..c2ac2e026 100644
--- a/migrations/031_create_trigger_table.py
+++ b/migrations/031_create_trigger_table.py
@@ -6,7 +6,7 @@ Some examples (model - class or model_name)::
 
     > Model = migrator.orm['model_name']            # Return model in current state by name
     > migrator.sql(sql)                             # Run custom SQL
-    > migrator.python(func, *args, **kwargs)        # Run python code
+    > migrator.run(func, *args, **kwargs)           # Run python code
     > migrator.create_model(Model)                  # Create a model (could be used as decorator)
     > migrator.remove_model(model, cascade=True)    # Remove a model
     > migrator.add_fields(model, **fields)          # Add fields to a model
diff --git a/migrations/032_add_password_changed_at.py b/migrations/032_add_password_changed_at.py
new file mode 100644
index 000000000..5382c12e2
--- /dev/null
+++ b/migrations/032_add_password_changed_at.py
@@ -0,0 +1,42 @@
+"""Peewee migrations -- 032_add_password_changed_at.py.
+
+Some examples (model - class or model name)::
+
+    > Model = migrator.orm['model_name']            # Return model in current state by name
+
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.run(func, *args, **kwargs)           # Run python code
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.drop_index(model, *col_names)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+
+"""
+
+import peewee as pw
+
+SQL = pw.SQL
+
+
+def migrate(migrator, database, fake=False, **kwargs):
+    migrator.sql(
+        """
+        ALTER TABLE user ADD COLUMN password_changed_at DATETIME NULL
+        """
+    )
+
+
+def rollback(migrator, database, fake=False, **kwargs):
+    migrator.sql(
+        """
+        ALTER TABLE user DROP COLUMN password_changed_at
+        """
+    )
diff --git a/web/.gitignore b/web/.gitignore
index a547bf36d..1cac5597e 100644
--- a/web/.gitignore
+++ b/web/.gitignore
@@ -22,3 +22,4 @@ dist-ssr
 *.njsproj
 *.sln
 *.sw?
+.env
\ No newline at end of file
diff --git a/web/images/branding/LICENSE b/web/images/branding/LICENSE
new file mode 100644
index 000000000..6dbfbe644
--- /dev/null
+++ b/web/images/branding/LICENSE
@@ -0,0 +1,33 @@
+# COPYRIGHT AND TRADEMARK NOTICE
+
+The images, logos, and icons contained in this directory (the "Brand Assets") are
+proprietary to Frigate, Inc. and are NOT covered by the MIT License governing the
+rest of this repository.
+
+1. TRADEMARK STATUS
+   The "Frigate" name and the accompanying logo are common law trademarks™ of
+   Frigate, Inc. Frigate, Inc. reserves all rights to these marks.
+
+2. LIMITED PERMISSION FOR USE
+   Permission is hereby granted to display these Brand Assets strictly for the
+   following purposes:
+   a. To execute the software interface on a local machine.
+   b. To identify the software in documentation or reviews (nominative use).
+
+3. RESTRICTIONS
+   You may NOT:
+   a. Use these Brand Assets to represent a derivative work (fork) as an official
+   product of Frigate, Inc.
+   b. Use these Brand Assets in a way that implies endorsement, sponsorship, or
+   commercial affiliation with Frigate, Inc.
+   c. Modify or alter the Brand Assets.
+
+If you fork this repository with the intent to distribute a modified or competing
+version of the software, you must replace these Brand Assets with your own
+original content.
+
+For full usage guidelines, strictly see the TRADEMARK.md file in the
+repository root.
+
+ALL RIGHTS RESERVED.
+Copyright (c) 2026 Frigate, Inc.
diff --git a/web/images/apple-touch-icon.png b/web/images/branding/apple-touch-icon.png
similarity index 100%
rename from web/images/apple-touch-icon.png
rename to web/images/branding/apple-touch-icon.png
diff --git a/web/images/favicon-16x16.png b/web/images/branding/favicon-16x16.png
similarity index 100%
rename from web/images/favicon-16x16.png
rename to web/images/branding/favicon-16x16.png
diff --git a/web/images/favicon-32x32.png b/web/images/branding/favicon-32x32.png
similarity index 100%
rename from web/images/favicon-32x32.png
rename to web/images/branding/favicon-32x32.png
diff --git a/web/images/favicon.ico b/web/images/branding/favicon.ico
similarity index 100%
rename from web/images/favicon.ico
rename to web/images/branding/favicon.ico
diff --git a/web/images/favicon.png b/web/images/branding/favicon.png
similarity index 100%
rename from web/images/favicon.png
rename to web/images/branding/favicon.png
diff --git a/web/images/favicon.svg b/web/images/branding/favicon.svg
similarity index 100%
rename from web/images/favicon.svg
rename to web/images/branding/favicon.svg
diff --git a/web/images/mstile-150x150.png b/web/images/branding/mstile-150x150.png
similarity index 100%
rename from web/images/mstile-150x150.png
rename to web/images/branding/mstile-150x150.png
diff --git a/web/index.html b/web/index.html
index 0e361fb5a..0805deca3 100644
--- a/web/index.html
+++ b/web/index.html
@@ -2,29 +2,29 @@
 <html lang="en">
   <head>
     <meta charset="UTF-8" />
-    <link rel="icon" href="/images/favicon.ico" />
+    <link rel="icon" href="/images/branding/favicon.ico" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Frigate</title>
     <link
       rel="apple-touch-icon"
       sizes="180x180"
-      href="/images/apple-touch-icon.png"
+      href="/images/branding/apple-touch-icon.png"
     />
     <link
       rel="icon"
       type="image/png"
       sizes="32x32"
-      href="/images/favicon-32x32.png"
+      href="/images/branding/favicon-32x32.png"
     />
     <link
       rel="icon"
       type="image/png"
       sizes="16x16"
-      href="/images/favicon-16x16.png"
+      href="/images/branding/favicon-16x16.png"
     />
-    <link rel="icon" type="image/svg+xml" href="/images/favicon.svg" />
+    <link rel="icon" type="image/svg+xml" href="/images/branding/favicon.svg" />
     <link rel="manifest" href="/site.webmanifest" crossorigin="use-credentials" />
-    <link rel="mask-icon" href="/images/favicon.svg" color="#3b82f7" />
+    <link rel="mask-icon" href="/images/branding/favicon.svg" color="#3b82f7" />
     <meta name="theme-color" content="#ffffff" media="(prefers-color-scheme: light)" />
     <meta name="theme-color" content="#000000" media="(prefers-color-scheme: dark)" />
   </head>
diff --git a/web/login.html b/web/login.html
index 39ca78c3c..fc0fb551e 100644
--- a/web/login.html
+++ b/web/login.html
@@ -2,29 +2,29 @@
 <html lang="en">
   <head>
     <meta charset="UTF-8" />
-    <link rel="icon" href="/images/favicon.ico" />
+    <link rel="icon" href="/images/branding/favicon.ico" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Frigate</title>
     <link
       rel="apple-touch-icon"
       sizes="180x180"
-      href="/images/apple-touch-icon.png"
+      href="/images/branding/apple-touch-icon.png"
     />
     <link
       rel="icon"
       type="image/png"
       sizes="32x32"
-      href="/images/favicon-32x32.png"
+      href="/images/branding/favicon-32x32.png"
     />
     <link
       rel="icon"
       type="image/png"
       sizes="16x16"
-      href="/images/favicon-16x16.png"
+      href="/images/branding/favicon-16x16.png"
     />
-    <link rel="icon" type="image/svg+xml" href="/images/favicon.svg" />
+    <link rel="icon" type="image/svg+xml" href="/images/branding/favicon.svg" />
     <link rel="manifest" href="/site.webmanifest" crossorigin="use-credentials" />
-    <link rel="mask-icon" href="/images/favicon.svg" color="#3b82f7" />
+    <link rel="mask-icon" href="/images/branding/favicon.svg" color="#3b82f7" />
     <meta name="theme-color" content="#ffffff" media="(prefers-color-scheme: light)" />
     <meta name="theme-color" content="#000000" media="(prefers-color-scheme: dark)" />
   </head>
diff --git a/web/package-lock.json b/web/package-lock.json
index fe1bad521..cfd5aa2c6 100644
--- a/web/package-lock.json
+++ b/web/package-lock.json
@@ -14,6 +14,7 @@
         "@radix-ui/react-alert-dialog": "^1.1.6",
         "@radix-ui/react-aspect-ratio": "^1.1.2",
         "@radix-ui/react-checkbox": "^1.1.4",
+        "@radix-ui/react-collapsible": "^1.1.12",
         "@radix-ui/react-context-menu": "^2.2.6",
         "@radix-ui/react-dialog": "^1.1.15",
         "@radix-ui/react-dropdown-menu": "^2.1.6",
@@ -47,7 +48,7 @@
         "idb-keyval": "^6.2.1",
         "immer": "^10.1.1",
         "konva": "^9.3.18",
-        "lodash": "^4.17.21",
+        "lodash": "^4.17.23",
         "lucide-react": "^0.477.0",
         "monaco-yaml": "^5.3.1",
         "next-themes": "^0.3.0",
@@ -63,7 +64,7 @@
         "react-i18next": "^15.2.0",
         "react-icons": "^5.5.0",
         "react-konva": "^18.2.10",
-        "react-router-dom": "^6.26.0",
+        "react-router-dom": "^6.30.3",
         "react-swipeable": "^7.0.2",
         "react-tracked": "^2.0.1",
         "react-transition-group": "^4.4.5",
@@ -115,7 +116,7 @@
         "prettier-plugin-tailwindcss": "^0.6.5",
         "tailwindcss": "^3.4.9",
         "typescript": "^5.8.2",
-        "vite": "^6.2.0",
+        "vite": "^6.4.1",
         "vitest": "^3.0.7"
       }
     },
@@ -1380,6 +1381,171 @@
         }
       }
     },
+    "node_modules/@radix-ui/react-collapsible": {
+      "version": "1.1.12",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-collapsible/-/react-collapsible-1.1.12.tgz",
+      "integrity": "sha512-Uu+mSh4agx2ib1uIGPP4/CKNULyajb3p92LsVXmH2EHVMTfZWpll88XJ0j4W0z3f8NK1eYl1+Mf/szHPmcHzyA==",
+      "license": "MIT",
+      "dependencies": {
+        "@radix-ui/primitive": "1.1.3",
+        "@radix-ui/react-compose-refs": "1.1.2",
+        "@radix-ui/react-context": "1.1.2",
+        "@radix-ui/react-id": "1.1.1",
+        "@radix-ui/react-presence": "1.1.5",
+        "@radix-ui/react-primitive": "2.1.3",
+        "@radix-ui/react-use-controllable-state": "1.2.2",
+        "@radix-ui/react-use-layout-effect": "1.1.1"
+      },
+      "peerDependencies": {
+        "@types/react": "*",
+        "@types/react-dom": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc",
+        "react-dom": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        },
+        "@types/react-dom": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-collapsible/node_modules/@radix-ui/primitive": {
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/@radix-ui/primitive/-/primitive-1.1.3.tgz",
+      "integrity": "sha512-JTF99U/6XIjCBo0wqkU5sK10glYe27MRRsfwoiq5zzOEZLHU3A3KCMa5X/azekYRCJ0HlwI0crAXS/5dEHTzDg==",
+      "license": "MIT"
+    },
+    "node_modules/@radix-ui/react-collapsible/node_modules/@radix-ui/react-compose-refs": {
+      "version": "1.1.2",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-compose-refs/-/react-compose-refs-1.1.2.tgz",
+      "integrity": "sha512-z4eqJvfiNnFMHIIvXP3CY57y2WJs5g2v3X0zm9mEJkrkNv4rDxu+sg9Jh8EkXyeqBkB7SOcboo9dMVqhyrACIg==",
+      "license": "MIT",
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-collapsible/node_modules/@radix-ui/react-context": {
+      "version": "1.1.2",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-context/-/react-context-1.1.2.tgz",
+      "integrity": "sha512-jCi/QKUM2r1Ju5a3J64TH2A5SpKAgh0LpknyqdQ4m6DCV0xJ2HG1xARRwNGPQfi1SLdLWZ1OJz6F4OMBBNiGJA==",
+      "license": "MIT",
+      "peerDependencies": {
+        "@types/react": "*",
+        "react": "^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc"
+      },
+      "peerDependenciesMeta": {
+        "@types/react": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@radix-ui/react-collapsible/node_modules/@radix-ui/react-id": {
+      "version": "1.1.1",
+      "resolved": "https://registry.npmjs.org/@radix-ui/react-id/-/react-id-1.1.1.tgz",
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+      },
+      "funding": {
+        "url": "https://github.com/sponsors/SuperchupuDev"
+      }
+    },
+    "node_modules/tinyglobby/node_modules/fdir": {
+      "version": "6.5.0",
+      "resolved": "https://registry.npmjs.org/fdir/-/fdir-6.5.0.tgz",
+      "integrity": "sha512-tIbYtZbucOs0BRGqPJkshJUYdL+SDH7dVM8gjy+ERp3WAUjLEFJE+02kanyHtwjWOnwrKYBiwAmM0p4kLJAnXg==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=12.0.0"
+      },
+      "peerDependencies": {
+        "picomatch": "^3 || ^4"
+      },
+      "peerDependenciesMeta": {
+        "picomatch": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/tinyglobby/node_modules/picomatch": {
+      "version": "4.0.3",
+      "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.3.tgz",
+      "integrity": "sha512-5gTmgEY/sqK6gFXLIsQNH19lWb4ebPDLA4SdLP7dsWkIXHWlG66oPuVvXSGFPppYZz8ZDZq0dYYrbHfBCVUb1Q==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/jonschlinkert"
+      }
+    },
     "node_modules/tinypool": {
       "version": "1.0.2",
       "resolved": "https://registry.npmjs.org/tinypool/-/tinypool-1.0.2.tgz",
@@ -9702,15 +10078,18 @@
       }
     },
     "node_modules/vite": {
-      "version": "6.2.0",
-      "resolved": "https://registry.npmjs.org/vite/-/vite-6.2.0.tgz",
-      "integrity": "sha512-7dPxoo+WsT/64rDcwoOjk76XHj+TqNTIvHKcuMQ1k4/SeHDaQt5GFAeLYzrimZrMpn/O6DtdI03WUjdxuPM0oQ==",
+      "version": "6.4.1",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-6.4.1.tgz",
+      "integrity": "sha512-+Oxm7q9hDoLMyJOYfUYBuHQo+dkAloi33apOPP56pzj+vsdJDzr+j1NISE5pyaAuKL4A3UD34qd0lx5+kfKp2g==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
         "esbuild": "^0.25.0",
+        "fdir": "^6.4.4",
+        "picomatch": "^4.0.2",
         "postcss": "^8.5.3",
-        "rollup": "^4.30.1"
+        "rollup": "^4.34.9",
+        "tinyglobby": "^0.2.13"
       },
       "bin": {
         "vite": "bin/vite.js"
@@ -9804,6 +10183,37 @@
         "monaco-editor": ">=0.33.0"
       }
     },
+    "node_modules/vite/node_modules/fdir": {
+      "version": "6.5.0",
+      "resolved": "https://registry.npmjs.org/fdir/-/fdir-6.5.0.tgz",
+      "integrity": "sha512-tIbYtZbucOs0BRGqPJkshJUYdL+SDH7dVM8gjy+ERp3WAUjLEFJE+02kanyHtwjWOnwrKYBiwAmM0p4kLJAnXg==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=12.0.0"
+      },
+      "peerDependencies": {
+        "picomatch": "^3 || ^4"
+      },
+      "peerDependenciesMeta": {
+        "picomatch": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/vite/node_modules/picomatch": {
+      "version": "4.0.3",
+      "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.3.tgz",
+      "integrity": "sha512-5gTmgEY/sqK6gFXLIsQNH19lWb4ebPDLA4SdLP7dsWkIXHWlG66oPuVvXSGFPppYZz8ZDZq0dYYrbHfBCVUb1Q==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/jonschlinkert"
+      }
+    },
     "node_modules/vitest": {
       "version": "3.0.7",
       "resolved": "https://registry.npmjs.org/vitest/-/vitest-3.0.7.tgz",
diff --git a/web/package.json b/web/package.json
index c00bd77dd..46d667058 100644
--- a/web/package.json
+++ b/web/package.json
@@ -20,6 +20,7 @@
     "@radix-ui/react-alert-dialog": "^1.1.6",
     "@radix-ui/react-aspect-ratio": "^1.1.2",
     "@radix-ui/react-checkbox": "^1.1.4",
+    "@radix-ui/react-collapsible": "^1.1.12",
     "@radix-ui/react-context-menu": "^2.2.6",
     "@radix-ui/react-dialog": "^1.1.15",
     "@radix-ui/react-dropdown-menu": "^2.1.6",
@@ -53,7 +54,7 @@
     "idb-keyval": "^6.2.1",
     "immer": "^10.1.1",
     "konva": "^9.3.18",
-    "lodash": "^4.17.21",
+    "lodash": "^4.17.23",
     "lucide-react": "^0.477.0",
     "monaco-yaml": "^5.3.1",
     "next-themes": "^0.3.0",
@@ -69,7 +70,7 @@
     "react-i18next": "^15.2.0",
     "react-icons": "^5.5.0",
     "react-konva": "^18.2.10",
-    "react-router-dom": "^6.26.0",
+    "react-router-dom": "^6.30.3",
     "react-swipeable": "^7.0.2",
     "react-tracked": "^2.0.1",
     "react-transition-group": "^4.4.5",
@@ -121,7 +122,7 @@
     "prettier-plugin-tailwindcss": "^0.6.5",
     "tailwindcss": "^3.4.9",
     "typescript": "^5.8.2",
-    "vite": "^6.2.0",
+    "vite": "^6.4.1",
     "vitest": "^3.0.7"
   }
 }
diff --git a/web/public/locales/ab/views/classificationModel.json b/web/public/locales/ab/views/classificationModel.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ab/views/classificationModel.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ar/views/classificationModel.json b/web/public/locales/ar/views/classificationModel.json
new file mode 100644
index 000000000..bc814e6f5
--- /dev/null
+++ b/web/public/locales/ar/views/classificationModel.json
@@ -0,0 +1,5 @@
+{
+  "train": {
+    "titleShort": "الأخيرة"
+  }
+}
diff --git a/web/public/locales/ar/views/faceLibrary.json b/web/public/locales/ar/views/faceLibrary.json
index c6c2c394e..5a40c8c59 100644
--- a/web/public/locales/ar/views/faceLibrary.json
+++ b/web/public/locales/ar/views/faceLibrary.json
@@ -1,6 +1,6 @@
 {
   "description": {
-    "addFace": "قم بإضافة مجموعة جديدة لمكتبة الأوجه.",
+    "addFace": "أضف مجموعة جديدة إلى مكتبة الوجوه عن طريق رفع صورتك الأولى.",
     "invalidName": "أسم غير صالح. يجب أن يشمل الأسم فقط على الحروف، الأرقام، المسافات، الفاصلة العليا، الشرطة التحتية، والشرطة الواصلة.",
     "placeholder": "أدخل أسم لهذه المجموعة"
   },
@@ -21,6 +21,88 @@
   "collections": "المجموعات",
   "createFaceLibrary": {
     "title": "إنشاء المجاميع",
-    "desc": "إنشاء مجموعة جديدة"
+    "desc": "إنشاء مجموعة جديدة",
+    "new": "إضافة وجه جديد",
+    "nextSteps": "لبناء أساس قوي:<li>استخدم علامة التبويب \"التعرّفات الأخيرة\" لاختيار الصور والتدريب عليها لكل شخص تم اكتشافه.</li> <li>ركّز على الصور الأمامية المباشرة للحصول على أفضل النتائج؛ وتجنّب صور التدريب التي تُظهر الوجوه بزاوية.</li>"
+  },
+  "steps": {
+    "faceName": "ادخل اسم للوجه",
+    "uploadFace": "ارفع صورة للوجه",
+    "nextSteps": "الخطوة التالية",
+    "description": {
+      "uploadFace": "قم برفع صورة لـ {{name}} تُظهر وجهه من زاوية أمامية مباشرة. لا يلزم أن تكون الصورة مقتصرة على الوجه فقط."
+    }
+  },
+  "train": {
+    "title": "التعرّفات الأخيرة",
+    "titleShort": "الأخيرة",
+    "aria": "اختر التعرّفات الأخيرة",
+    "empty": "لا توجد أي محاولات حديثة للتعرّف على الوجوه"
+  },
+  "deleteFaceLibrary": {
+    "title": "احذف الاسم",
+    "desc": "هل أنت متأكد أنك تريد حذف المجموعة {{name}}؟ سيؤدي هذا إلى حذف جميع الوجوه المرتبطة بها نهائيًا."
+  },
+  "deleteFaceAttempts": {
+    "title": "احذف الوجوه",
+    "desc_zero": "وجه",
+    "desc_one": "وجه",
+    "desc_two": "وجهان",
+    "desc_few": "وجوه",
+    "desc_many": "وجهًا",
+    "desc_other": "وجه"
+  },
+  "renameFace": {
+    "title": "اعادة تسمية الوجه",
+    "desc": "ادخل اسم جديد لـ{{name}}"
+  },
+  "button": {
+    "deleteFaceAttempts": "احذف الوجوه",
+    "addFace": "اظف وجهًا",
+    "renameFace": "اعد تسمية وجه",
+    "deleteFace": "احذف وجهًا",
+    "uploadImage": "ارفع صورة",
+    "reprocessFace": "إعادة معالجة الوجه"
+  },
+  "imageEntry": {
+    "validation": {
+      "selectImage": "يرجى اختيار ملف صورة."
+    },
+    "dropActive": "اسحب الصورة إلى هنا…",
+    "dropInstructions": "اسحب وأفلت أو الصق صورة هنا، أو انقر للاختيار",
+    "maxSize": "الحجم الأقصى: {{size}} ميغابايت"
+  },
+  "nofaces": "لا توجد وجوه متاحة",
+  "trainFaceAs": "درّب الوجه كـ:",
+  "trainFace": "درّب الوجه",
+  "toast": {
+    "success": {
+      "uploadedImage": "تم رفع الصورة بنجاح.",
+      "addFaceLibrary": "تمت إضافة {{name}} بنجاح إلى مكتبة الوجوه!",
+      "deletedFace_zero": "وجه",
+      "deletedFace_one": "وجه",
+      "deletedFace_two": "وجهين",
+      "deletedFace_few": "وجوه",
+      "deletedFace_many": "وجهًا",
+      "deletedFace_other": "وجه",
+      "deletedName_zero": "وجه",
+      "deletedName_one": "وجه",
+      "deletedName_two": "وجهين",
+      "deletedName_few": "وجوه",
+      "deletedName_many": "وجهًا",
+      "deletedName_other": "وجه",
+      "renamedFace": "تمت إعادة تسمية الوجه بنجاح إلى {{name}}",
+      "trainedFace": "تم تدريب الوجه بنجاح.",
+      "updatedFaceScore": "تم تحديث درجة الوجه بنجاح إلى {{name}} ({{score}})."
+    },
+    "error": {
+      "uploadingImageFailed": "فشل في رفع الصورة: {{errorMessage}}",
+      "addFaceLibraryFailed": "فشل في تعيين اسم الوجه: {{errorMessage}}",
+      "deleteFaceFailed": "فشل الحذف: {{errorMessage}}",
+      "deleteNameFailed": "فشل في حذف الاسم: {{errorMessage}}",
+      "renameFaceFailed": "فشل في إعادة تسمية الوجه: {{errorMessage}}",
+      "trainFailed": "فشل التدريب: {{errorMessage}}",
+      "updateFaceScoreFailed": "فشل في تحديث درجة الوجه: {{errorMessage}}"
+    }
   }
 }
diff --git a/web/public/locales/bg/audio.json b/web/public/locales/bg/audio.json
index e59baf850..fcc7a3902 100644
--- a/web/public/locales/bg/audio.json
+++ b/web/public/locales/bg/audio.json
@@ -2,9 +2,9 @@
   "babbling": "Бърборене",
   "whispering": "Шепнене",
   "laughter": "Смях",
-  "crying": "Плача",
+  "crying": "Плач",
   "sigh": "Въздишка",
-  "singing": "Подписвам",
+  "singing": "Пеене",
   "choir": "Хор",
   "yodeling": "Йоделинг",
   "mantra": "Мантра",
@@ -264,5 +264,6 @@
   "pant": "Здъхване",
   "stomach_rumble": "Къркорене на стомах",
   "heartbeat": "Сърцебиене",
-  "scream": "Вик"
+  "scream": "Вик",
+  "snicker": "Хихикане"
 }
diff --git a/web/public/locales/bg/components/auth.json b/web/public/locales/bg/components/auth.json
index 0967ef424..094cd71a0 100644
--- a/web/public/locales/bg/components/auth.json
+++ b/web/public/locales/bg/components/auth.json
@@ -1 +1,16 @@
-{}
+{
+  "form": {
+    "user": "Потребителско име",
+    "password": "Парола",
+    "login": "Вход",
+    "firstTimeLogin": "Опитвате да влезете за първи път? Данните за вход са разпечатани в логовете на Frigate.",
+    "errors": {
+      "usernameRequired": "Потребителското име е задължително",
+      "passwordRequired": "Паролата е задължителна",
+      "rateLimit": "Надхвърлен брой опити. Моля Опитайте по-късно.",
+      "loginFailed": "Неуспешен вход",
+      "unknownError": "Неизвестна грешка. Поля проверете логовете.",
+      "webUnknownError": "Неизвестна грешка. Поля проверете изхода в конзолата."
+    }
+  }
+}
diff --git a/web/public/locales/bg/components/camera.json b/web/public/locales/bg/components/camera.json
index e95016ad9..cad1127a0 100644
--- a/web/public/locales/bg/components/camera.json
+++ b/web/public/locales/bg/components/camera.json
@@ -7,7 +7,7 @@
       "label": "Изтрий група за камери",
       "confirm": {
         "title": "Потвърди изтриването",
-        "desc": "Сигурни ли сте, че искате да изтриете група </em>{{name}}</em>?"
+        "desc": "Сигурни ли сте, че искате да изтриете група <em>{{name}}</em>?"
       }
     },
     "name": {
diff --git a/web/public/locales/bg/components/dialog.json b/web/public/locales/bg/components/dialog.json
index d58e72203..6a2d356b5 100644
--- a/web/public/locales/bg/components/dialog.json
+++ b/web/public/locales/bg/components/dialog.json
@@ -8,5 +8,12 @@
       "lastHour_other": "Последните {{count}} часа"
     },
     "select": "Избери"
+  },
+  "restart": {
+    "title": "Сигурен ли сте, че искате да рестартирате Frigate?",
+    "button": "Рестартирай",
+    "restarting": {
+      "title": "Frigare се рестартира"
+    }
   }
 }
diff --git a/web/public/locales/bg/components/icons.json b/web/public/locales/bg/components/icons.json
index 0967ef424..a978fa345 100644
--- a/web/public/locales/bg/components/icons.json
+++ b/web/public/locales/bg/components/icons.json
@@ -1 +1,8 @@
-{}
+{
+  "iconPicker": {
+    "selectIcon": "Изберете иконка",
+    "search": {
+      "placeholder": "Потърси за икона…"
+    }
+  }
+}
diff --git a/web/public/locales/bg/components/input.json b/web/public/locales/bg/components/input.json
index 0967ef424..9bd41d676 100644
--- a/web/public/locales/bg/components/input.json
+++ b/web/public/locales/bg/components/input.json
@@ -1 +1,10 @@
-{}
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Свали видео",
+      "toast": {
+        "success": "Вашето видео за преглеждане почна да се изтегля."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/bg/objects.json b/web/public/locales/bg/objects.json
index bb4ad4968..a12c53c3a 100644
--- a/web/public/locales/bg/objects.json
+++ b/web/public/locales/bg/objects.json
@@ -18,5 +18,6 @@
   "bicycle": "Велосипед",
   "skateboard": "Скейтборд",
   "door": "Врата",
-  "blender": "Блендер"
+  "blender": "Блендер",
+  "person": "Човек"
 }
diff --git a/web/public/locales/bg/views/classificationModel.json b/web/public/locales/bg/views/classificationModel.json
new file mode 100644
index 000000000..7b8ecb1dd
--- /dev/null
+++ b/web/public/locales/bg/views/classificationModel.json
@@ -0,0 +1,6 @@
+{
+  "documentTitle": "Модели за класификация - Frigate",
+  "description": {
+    "invalidName": "Невалидно име. Имената могат да съдържат единствено: букви, числа, празни места, долни черти и тирета."
+  }
+}
diff --git a/web/public/locales/bg/views/configEditor.json b/web/public/locales/bg/views/configEditor.json
index 0967ef424..955fb99b7 100644
--- a/web/public/locales/bg/views/configEditor.json
+++ b/web/public/locales/bg/views/configEditor.json
@@ -1 +1,18 @@
-{}
+{
+  "documentTitle": "Настройки на конфигурацията - Frigate",
+  "configEditor": "Конфигуратор",
+  "safeConfigEditor": "Конфигуратор (Safe Mode)",
+  "safeModeDescription": "Frigate е в режим \"Safe Mode\" тъй като конфигурацията не минава проверките за валидност.",
+  "copyConfig": "Копирай Конфигурацията",
+  "saveAndRestart": "Запази и Рестартирай",
+  "saveOnly": "Запази",
+  "confirm": "Изход без запис?",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Конфигурацията е копирана."
+    },
+    "error": {
+      "savingError": "Грешка при запис на конфигурацията"
+    }
+  }
+}
diff --git a/web/public/locales/bg/views/events.json b/web/public/locales/bg/views/events.json
index c355c8bec..affd0cb52 100644
--- a/web/public/locales/bg/views/events.json
+++ b/web/public/locales/bg/views/events.json
@@ -9,5 +9,10 @@
     "aria": "Избери събития",
     "noFoundForTimePeriod": "Няма намерени събития за този времеви период."
   },
-  "allCameras": "Всички камери"
+  "allCameras": "Всички камери",
+  "alerts": "Известия",
+  "detections": "Засичания",
+  "motion": {
+    "label": "Движение"
+  }
 }
diff --git a/web/public/locales/bg/views/explore.json b/web/public/locales/bg/views/explore.json
index ab04d4746..d6c074d4e 100644
--- a/web/public/locales/bg/views/explore.json
+++ b/web/public/locales/bg/views/explore.json
@@ -8,5 +8,7 @@
     }
   },
   "trackedObjectsCount_one": "{{count}} проследен обект ",
-  "trackedObjectsCount_other": "{{count}} проследени обекта "
+  "trackedObjectsCount_other": "{{count}} проследени обекта ",
+  "documentTitle": "Разгледай - Фригейт",
+  "generativeAI": "Генеративен Изкъствен Интелект"
 }
diff --git a/web/public/locales/bg/views/exports.json b/web/public/locales/bg/views/exports.json
index 0967ef424..5454a085d 100644
--- a/web/public/locales/bg/views/exports.json
+++ b/web/public/locales/bg/views/exports.json
@@ -1 +1,23 @@
-{}
+{
+  "documentTitle": "Експорт - Frigate",
+  "search": "Търси",
+  "noExports": "Няма намерени експорти",
+  "deleteExport": "Изтрий експорт",
+  "deleteExport.desc": "Сигурни ли сте, че искате да изтриете {{exportName}}?",
+  "editExport": {
+    "title": "Преименувай експорт",
+    "desc": "Въведете ново име за този експорт.",
+    "saveExport": "Запази експорт"
+  },
+  "tooltip": {
+    "shareExport": "Сподели експорт",
+    "downloadVideo": "Свали видео",
+    "editName": "Редактирай име",
+    "deleteExport": "Изтрий експорт"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Неуспешно преименуване на експорт: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/bg/views/faceLibrary.json b/web/public/locales/bg/views/faceLibrary.json
index a461ee3df..7d4a82211 100644
--- a/web/public/locales/bg/views/faceLibrary.json
+++ b/web/public/locales/bg/views/faceLibrary.json
@@ -10,5 +10,10 @@
       "deletedName_one": "{{count}} лице бе изтрито успешно.",
       "deletedName_other": "{{count}} лица бяха изтрити успешно."
     }
+  },
+  "description": {
+    "addFace": "Добавете нова колекция във библиотеката за лица при качването на първата ви снимка.",
+    "placeholder": "Напишете име за тази колекция",
+    "invalidName": "Невалидно име. Имената могат да съдържат единствено: букви, числа, празни места, долни черти и тирета."
   }
 }
diff --git a/web/public/locales/bg/views/live.json b/web/public/locales/bg/views/live.json
index c1b6ac1dc..01b3a5c34 100644
--- a/web/public/locales/bg/views/live.json
+++ b/web/public/locales/bg/views/live.json
@@ -63,5 +63,7 @@
   },
   "cameraSettings": {
     "cameraEnabled": "Камерата е включена"
-  }
+  },
+  "documentTitle": "Наживо - Frigate",
+  "documentTitle.withCamera": "{{camera}} - На живо - Фригейт"
 }
diff --git a/web/public/locales/bg/views/search.json b/web/public/locales/bg/views/search.json
index 8f710c14b..924682386 100644
--- a/web/public/locales/bg/views/search.json
+++ b/web/public/locales/bg/views/search.json
@@ -1,5 +1,8 @@
 {
   "button": {
     "save": "Запазване на търсенето"
-  }
+  },
+  "search": "Търси",
+  "savedSearches": "Запазени търсения",
+  "searchFor": "Търсене за {{inputValue}}"
 }
diff --git a/web/public/locales/bg/views/settings.json b/web/public/locales/bg/views/settings.json
index 830e0ffe8..08395e4db 100644
--- a/web/public/locales/bg/views/settings.json
+++ b/web/public/locales/bg/views/settings.json
@@ -12,5 +12,9 @@
       "point_one": "{{count}} точка",
       "point_other": "{{count}} точки"
     }
+  },
+  "documentTitle": {
+    "default": "Настройки - Фригейт",
+    "authentication": "Настройки за сигурността - Фругейт"
   }
 }
diff --git a/web/public/locales/bg/views/system.json b/web/public/locales/bg/views/system.json
index 39c14cb20..be1e23db1 100644
--- a/web/public/locales/bg/views/system.json
+++ b/web/public/locales/bg/views/system.json
@@ -1,5 +1,10 @@
 {
   "stats": {
     "healthy": "Системата е изправна"
+  },
+  "documentTitle": {
+    "cameras": "Статистики за Камери - Фригейт",
+    "storage": "Статистика за паметта - Фригейт",
+    "general": "Обща Статистика - Frigate"
   }
 }
diff --git a/web/public/locales/ca/audio.json b/web/public/locales/ca/audio.json
index 1af579479..27c44b40e 100644
--- a/web/public/locales/ca/audio.json
+++ b/web/public/locales/ca/audio.json
@@ -425,5 +425,79 @@
   "radio": "Ràdio",
   "pink_noise": "Soroll rosa",
   "power_windows": "Finestres elèctriques",
-  "artillery_fire": "Foc d'artilleria"
+  "artillery_fire": "Foc d'artilleria",
+  "sodeling": "Cant a la tirolesa",
+  "vibration": "Vibració",
+  "throbbing": "Palpitant",
+  "cacophony": "Cacofonia",
+  "sidetone": "To local",
+  "distortion": "Distorsió",
+  "mains_hum": "brunzit",
+  "noise": "Soroll",
+  "echo": "Echo",
+  "reverberation": "Reverberació",
+  "inside": "Interior",
+  "pulse": "Pols",
+  "outside": "Fora",
+  "chirp_tone": "To de grinyol",
+  "harmonic": "Harmònic",
+  "sine_wave": "Ona sinus",
+  "crunch": "Cruixit",
+  "hum": "Taral·lejar",
+  "plop": "Chof",
+  "clickety_clack": "Clic-Clac",
+  "clicking": "Clicant",
+  "clatter": "Soroll",
+  "chird": "Piular",
+  "liquid": "Líquid",
+  "splash": "Xof",
+  "slosh": "Xip-xap",
+  "boing": "Boing",
+  "zing": "Fiu",
+  "rumble": "Bum-bum",
+  "sizzle": "Xiu-xiu",
+  "whir": "Brrrm",
+  "rustle": "Fru-Fru",
+  "creak": "Clic-clac",
+  "clang": "Clang",
+  "squish": "Xaf",
+  "drip": "Plic-plic",
+  "pour": "Glug-glug",
+  "trickle": "Xiulet",
+  "gush": "Xuuuix",
+  "fill": "Glug-glug",
+  "ding": "Ding",
+  "ping": "Ping",
+  "beep": "Bip",
+  "squeal": "Xiscle",
+  "crumpling": "Arrugant-se",
+  "rub": "Fregar",
+  "scrape": "Raspar",
+  "scratch": "Rasca",
+  "whip": "Fuet",
+  "bouncing": "Rebotant",
+  "breaking": "Trencant",
+  "smash": "Aixafar",
+  "whack": "Cop",
+  "slap": "Bufetada",
+  "bang": "Bang",
+  "basketball_bounce": "Rebot de bàsquet",
+  "chorus_effect": "Efecte de cor",
+  "effects_unit": "Unitat d'Efectes",
+  "electronic_tuner": "Afinador electrònic",
+  "thunk": "Bruix",
+  "thump": "Cop fort",
+  "whoosh": "Xiuxiueig",
+  "arrow": "Fletxa",
+  "sonar": "Sonar",
+  "boiling": "Bullint",
+  "stir": "Remenar",
+  "pump": "Bomba",
+  "spray": "Esprai",
+  "shofar": "Xofar",
+  "crushing": "Aixafament",
+  "change_ringing": "Toc de campanes",
+  "flap": "Cop de peu",
+  "roll": "Rodament",
+  "tearing": "Esquinçat"
 }
diff --git a/web/public/locales/ca/common.json b/web/public/locales/ca/common.json
index ba8a11bb5..61faabea0 100644
--- a/web/public/locales/ca/common.json
+++ b/web/public/locales/ca/common.json
@@ -104,7 +104,8 @@
       "anonymous": "Anònim",
       "logout": "Tanca la sessió",
       "current": "Usuari actual: {{user}}"
-    }
+    },
+    "classification": "Classificació"
   },
   "pagination": {
     "previous": {
@@ -197,7 +198,10 @@
     "formattedTimestampMonthDayYearHourMinute": {
       "12hour": "MMM d yyyy, h:mm aaa",
       "24hour": "MMM d yyyy, HH:mm"
-    }
+    },
+    "inProgress": "En curs",
+    "invalidStartTime": "Hora d'inici no vàlida",
+    "invalidEndTime": "Hora de finalització no vàlida"
   },
   "unit": {
     "speed": {
@@ -207,10 +211,24 @@
     "length": {
       "feet": "peus",
       "meters": "metres"
+    },
+    "data": {
+      "kbps": "Kb/s",
+      "mbps": "Mb/s",
+      "gbps": "Gb/s",
+      "kbph": "kB/hora",
+      "mbph": "MB/hora",
+      "gbph": "GB/hora"
     }
   },
   "label": {
-    "back": "Torna enrere"
+    "back": "Torna enrere",
+    "hide": "Oculta {{item}}",
+    "show": "Mostra {{item}}",
+    "ID": "ID",
+    "none": "Cap",
+    "all": "Tots",
+    "other": "Altres"
   },
   "button": {
     "apply": "Aplicar",
@@ -247,7 +265,8 @@
     "off": "APAGAT",
     "unselect": "Desseleccionar",
     "enable": "Habilitar",
-    "enabled": "Habilitat"
+    "enabled": "Habilitat",
+    "continue": "Continua"
   },
   "toast": {
     "copyUrlToClipboard": "URL copiada al porta-retalls.",
@@ -270,5 +289,17 @@
     "desc": "Pàgina no trobada"
   },
   "selectItem": "Selecciona {{item}}",
-  "readTheDocumentation": "Llegir la documentació"
+  "readTheDocumentation": "Llegir la documentació",
+  "information": {
+    "pixels": "{{area}}px"
+  },
+  "list": {
+    "two": "{{0}} i {{1}}",
+    "many": "{{items}}, i {{last}}",
+    "separatorWithSpace": ",· "
+  },
+  "field": {
+    "optional": "Opcional",
+    "internalID": "L'ID intern que Frigate s'utilitza a la configuració i a la base de dades"
+  }
 }
diff --git a/web/public/locales/ca/components/auth.json b/web/public/locales/ca/components/auth.json
index 6cbe2877c..1ca91ee7a 100644
--- a/web/public/locales/ca/components/auth.json
+++ b/web/public/locales/ca/components/auth.json
@@ -10,6 +10,7 @@
       "loginFailed": "Error en l'inici de sessió",
       "unknownError": "Error desconegut. Comproveu els registres.",
       "webUnknownError": "Error desconegut. Comproveu els registres de la consola."
-    }
+    },
+    "firstTimeLogin": "Intentar iniciar sessió per primera vegada? Les credencials s'imprimeixen als registres de Frigate."
   }
 }
diff --git a/web/public/locales/ca/components/dialog.json b/web/public/locales/ca/components/dialog.json
index 20988372a..79e4bd864 100644
--- a/web/public/locales/ca/components/dialog.json
+++ b/web/public/locales/ca/components/dialog.json
@@ -53,12 +53,13 @@
     "export": "Exportar",
     "selectOrExport": "Seleccionar o exportar",
     "toast": {
-      "success": "Exportació inciada amb èxit. Pots veure l'arxiu a la carpeta /exports.",
+      "success": "Exportació inciada amb èxit. Pots veure l'arxiu a la pàgina d'exportacions.",
       "error": {
         "endTimeMustAfterStartTime": "L'hora de finalització ha de ser posterior a l'hora d'inici",
         "noVaildTimeSelected": "No s'ha seleccionat un rang de temps vàlid",
         "failed": "No s'ha pogut inciar l'exportació: {{error}}"
-      }
+      },
+      "view": "Vista"
     },
     "fromTimeline": {
       "saveExport": "Guardar exportació",
@@ -98,7 +99,8 @@
     "button": {
       "deleteNow": "Suprimir ara",
       "export": "Exportar",
-      "markAsReviewed": "Marcar com a revisat"
+      "markAsReviewed": "Marcar com a revisat",
+      "markAsUnreviewed": "Marcar com no revisat"
     },
     "confirmDelete": {
       "title": "Confirmar la supressió",
@@ -116,6 +118,7 @@
     "search": {
       "placeholder": "Cerca per etiqueta o subetiqueta..."
     },
-    "noImages": "No s'han trobat miniatures per a aquesta càmera"
+    "noImages": "No s'han trobat miniatures per a aquesta càmera",
+    "unknownLabel": "Imatge activadora desada"
   }
 }
diff --git a/web/public/locales/ca/components/filter.json b/web/public/locales/ca/components/filter.json
index e17897294..5a0a7b083 100644
--- a/web/public/locales/ca/components/filter.json
+++ b/web/public/locales/ca/components/filter.json
@@ -132,5 +132,9 @@
     },
     "count_one": "{{count}} Classe",
     "count_other": "{{count}} Classes"
+  },
+  "attributes": {
+    "label": "Atributs de classificació",
+    "all": "Tots els atributs"
   }
 }
diff --git a/web/public/locales/ca/views/classificationModel.json b/web/public/locales/ca/views/classificationModel.json
new file mode 100644
index 000000000..7a9a7571d
--- /dev/null
+++ b/web/public/locales/ca/views/classificationModel.json
@@ -0,0 +1,193 @@
+{
+  "documentTitle": "Models de classificació - Frigate",
+  "button": {
+    "deleteClassificationAttempts": "Suprimeix les imatges de classificació",
+    "renameCategory": "Reanomena la classe",
+    "deleteCategory": "Suprimeix la classe",
+    "deleteImages": "Suprimeix les imatges",
+    "trainModel": "Model de tren",
+    "addClassification": "Afegeix una classificació",
+    "deleteModels": "Suprimeix els models",
+    "editModel": "Edita el model"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Classe suprimida",
+      "deletedImage": "Imatges suprimides",
+      "categorizedImage": "Imatge classificada amb èxit",
+      "trainedModel": "Model entrenat amb èxit.",
+      "trainingModel": "S'ha iniciat amb èxit la formació de models.",
+      "deletedModel_one": "S'ha suprimit correctament {{count}} model",
+      "deletedModel_many": "S'han suprimit correctament els {{count}} models",
+      "deletedModel_other": "S'han suprimit correctament els {{count}} models",
+      "updatedModel": "S'ha actualitzat correctament la configuració del model",
+      "renamedCategory": "S'ha canviat el nom de la classe a {{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "No s'ha pogut suprimir: {{errorMessage}}",
+      "deleteCategoryFailed": "No s'ha pogut suprimir la classe: {{errorMessage}}",
+      "categorizeFailed": "No s'ha pogut categoritzar la imatge: {{errorMessage}}",
+      "trainingFailed": "Ha fallat l'entrenament del model. Comproveu els registres de fragata per a més detalls.",
+      "deleteModelFailed": "No s'ha pogut suprimir el model: {{errorMessage}}",
+      "updateModelFailed": "No s'ha pogut actualitzar el model: {{errorMessage}}",
+      "renameCategoryFailed": "No s'ha pogut canviar el nom de la classe: {{errorMessage}}",
+      "trainingFailedToStart": "Errar en arrencar l'entrenament del model: {{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "Suprimeix la classe",
+    "desc": "Esteu segur que voleu suprimir la classe {{name}}? Això suprimirà permanentment totes les imatges associades i requerirà tornar a entrenar el model.",
+    "minClassesTitle": "No es pot suprimir la classe",
+    "minClassesDesc": "Un model de classificació ha de tenir almenys 2 classes. Afegeix una altra classe abans d'eliminar aquesta."
+  },
+  "deleteDatasetImages": {
+    "title": "Suprimeix les imatges del conjunt de dades",
+    "desc_one": "Esteu segur que voleu suprimir {{count}} imatge de {{dataset}}? Aquesta acció no es pot desfer i requerirà tornar a entrenar el model.",
+    "desc_many": "Esteu segur que voleu suprimir {{count}} imatges de {{dataset}}? Aquesta acció no es pot desfer i requerirà tornar a entrenar el model.",
+    "desc_other": "Esteu segur que voleu suprimir {{count}} imatges de {{dataset}}? Aquesta acció no es pot desfer i requerirà tornar a entrenar el model."
+  },
+  "deleteTrainImages": {
+    "title": "Suprimeix les imatges del tren",
+    "desc_one": "Esteu segur que voleu suprimir {{count}} imatge? Aquesta acció no es pot desfer.",
+    "desc_many": "Esteu segur que voleu suprimir {{count}} imatges? Aquesta acció no es pot desfer.",
+    "desc_other": "Esteu segur que voleu suprimir {{count}} imatges? Aquesta acció no es pot desfer."
+  },
+  "renameCategory": {
+    "title": "Reanomena la classe",
+    "desc": "Introduïu un nom nou per {{name}}. Se us requerirà que torneu a entrenar el model per al canvi de nom afectar."
+  },
+  "description": {
+    "invalidName": "Nom no vàlid. Els noms només poden incloure lletres, números, espais, apòstrofs, guions baixos i guions."
+  },
+  "train": {
+    "title": "Classificacions recents",
+    "aria": "Selecciona les classificacions recents",
+    "titleShort": "Recent"
+  },
+  "categories": "Classes",
+  "createCategory": {
+    "new": "Crea una classe nova"
+  },
+  "categorizeImageAs": "Classifica la imatge com a:",
+  "categorizeImage": "Classifica la imatge",
+  "noModels": {
+    "object": {
+      "title": "No hi ha models de classificació d'objectes",
+      "description": "Crea un model personalitzat per classificar els objectes detectats.",
+      "buttonText": "Crea un model d'objecte"
+    },
+    "state": {
+      "title": "Cap model de classificació d'estat",
+      "description": "Crea un model personalitzat per a monitoritzar i classificar els canvis d'estat en àrees de càmera específiques.",
+      "buttonText": "Crea un model d'estat"
+    }
+  },
+  "wizard": {
+    "title": "Crea una classificació nova",
+    "steps": {
+      "nameAndDefine": "Nom i definició",
+      "stateArea": "Àrea estatal",
+      "chooseExamples": "Trieu exemples"
+    },
+    "step1": {
+      "description": "Els models estatals monitoritzen àrees de càmera fixes per als canvis (p. ex., porta oberta/tancada). Els models d'objectes afegeixen classificacions als objectes detectats (per exemple, animals coneguts, persones de lliurament, etc.).",
+      "name": "Nom",
+      "namePlaceholder": "Introduïu el nom del model...",
+      "type": "Tipus",
+      "typeState": "Estat",
+      "typeObject": "Objecte",
+      "objectLabel": "Etiqueta de l'objecte",
+      "objectLabelPlaceholder": "Selecciona el tipus d'objecte...",
+      "classificationType": "Tipus de classificació",
+      "classificationTypeTip": "Apreneu sobre els tipus de classificació",
+      "classificationTypeDesc": "Les subetiquetes afegeixen text addicional a l'etiqueta de l'objecte (p. ex., 'Person: UPS'). Els atributs són metadades cercables emmagatzemades per separat a les metadades de l'objecte.",
+      "classificationSubLabel": "Subetiqueta",
+      "classificationAttribute": "Atribut",
+      "classes": "Classes",
+      "classesTip": "Aprèn sobre les classes",
+      "classesStateDesc": "Defineix els diferents estats en què pot estar la teva àrea de càmera. Per exemple: \"obert\" i \"tancat\" per a una porta de garatge.",
+      "classesObjectDesc": "Defineix les diferents categories en què classificar els objectes detectats. Per exemple: 'lliuramentpersonpersona', 'resident', 'amenaça' per a la classificació de persones.",
+      "classPlaceholder": "Introduïu el nom de la classe...",
+      "errors": {
+        "nameRequired": "Es requereix el nom del model",
+        "nameLength": "El nom del model ha de tenir 64 caràcters o menys",
+        "nameOnlyNumbers": "El nom del model no pot contenir només números",
+        "classRequired": "Es requereix com a mínim 1 classe",
+        "classesUnique": "Els noms de classe han de ser únics",
+        "stateRequiresTwoClasses": "Els models d'estat requereixen almenys 2 classes",
+        "objectLabelRequired": "Seleccioneu una etiqueta d'objecte",
+        "objectTypeRequired": "Seleccioneu un tipus de classificació",
+        "noneNotAllowed": "La classe 'none' no està permesa"
+      },
+      "states": "Estats"
+    },
+    "step2": {
+      "description": "Seleccioneu les càmeres i definiu l'àrea a monitoritzar per a cada càmera. El model classificarà l'estat d'aquestes àrees.",
+      "cameras": "Càmeres",
+      "selectCamera": "Selecciona la càmera",
+      "noCameras": "Feu clic a + per a afegir càmeres",
+      "selectCameraPrompt": "Seleccioneu una càmera de la llista per definir la seva àrea de monitoratge"
+    },
+    "step3": {
+      "selectImagesPrompt": "Selecciona totes les imatges amb: {{className}}",
+      "selectImagesDescription": "Feu clic a les imatges per a seleccionar-les. Feu clic a Continua quan hàgiu acabat amb aquesta classe.",
+      "generating": {
+        "title": "S'estan generant imatges de mostra",
+        "description": "Frigate està traient imatges representatives dels vostres enregistraments. Això pot trigar un moment..."
+      },
+      "training": {
+        "title": "Model d'entrenament",
+        "description": "El teu model s'està entrenant en segon pla. Tanqueu aquest diàleg i el vostre model començarà a funcionar tan aviat com s'hagi completat l'entrenament."
+      },
+      "retryGenerate": "Torna a provar la generació",
+      "noImages": "No s'ha generat cap imatge de mostra",
+      "classifying": "Classificació i formació...",
+      "trainingStarted": "L'entrenament s'ha iniciat amb èxit",
+      "errors": {
+        "noCameras": "No s'ha configurat cap càmera",
+        "noObjectLabel": "No s'ha seleccionat cap etiqueta d'objecte",
+        "generateFailed": "No s'han pogut generar exemples: {{error}}",
+        "generationFailed": "Ha fallat la generació. Torneu-ho a provar.",
+        "classifyFailed": "No s'han pogut classificar les imatges: {{error}}"
+      },
+      "generateSuccess": "Imatges de mostra generades amb èxit",
+      "allImagesRequired_one": "Classifiqueu totes les imatges. Queda {{count}} imatge.",
+      "allImagesRequired_many": "Classifiqueu totes les imatges. Queden {{count}} imatges.",
+      "allImagesRequired_other": "Classifiqueu totes les imatges. Queden {{count}} imatges.",
+      "modelCreated": "El model s'ha creat correctament. Utilitzeu la vista Classificacions recents per a afegir imatges per als estats que falten i, a continuació, entrenar el model.",
+      "missingStatesWarning": {
+        "title": "Falten exemples d'estat",
+        "description": "Es recomana seleccionar exemples per a tots els estats per obtenir els millors resultats. Podeu continuar sense seleccionar tots els estats, però el model no serà entrenat fins que tots els estats tinguin imatges. Després de continuar, utilitzeu la vista Classificacions recents per classificar imatges per als estats que falten, i després entrenar el model."
+      }
+    }
+  },
+  "deleteModel": {
+    "title": "Suprimeix el model de classificació",
+    "single": "Esteu segur que voleu suprimir {{name}}? Això suprimirà permanentment totes les dades associades, incloses les imatges i les dades d'entrenament. Aquesta acció no es pot desfer.",
+    "desc_one": "Esteu segur que voleu suprimir el model {{count}}? Això suprimirà permanentment totes les dades associades, incloses les imatges i les dades d'entrenament. Aquesta acció no es pot desfer.",
+    "desc_many": "Esteu segur que voleu suprimir {{count}} models? Això suprimirà permanentment totes les dades associades, incloses les imatges i les dades d'entrenament. Aquesta acció no es pot desfer.",
+    "desc_other": "Esteu segur que voleu suprimir {{count}} models? Això suprimirà permanentment totes les dades associades, incloses les imatges i les dades d'entrenament. Aquesta acció no es pot desfer."
+  },
+  "menu": {
+    "objects": "Objectes",
+    "states": "Estats"
+  },
+  "details": {
+    "scoreInfo": "La puntuació representa la confiança mitjana de la classificació en totes les deteccions d'aquest objecte.",
+    "none": "Cap",
+    "unknown": "Desconegut"
+  },
+  "edit": {
+    "title": "Edita el model de classificació",
+    "descriptionState": "Edita les classes per a aquest model de classificació d'estats. Els canvis requeriran tornar a entrenar el model.",
+    "descriptionObject": "Edita el tipus d'objecte i el tipus de classificació per a aquest model de classificació d'objectes.",
+    "stateClassesInfo": "Nota: Canviar les classes d'estat requereix tornar a entrenar el model amb les classes actualitzades."
+  },
+  "tooltip": {
+    "trainingInProgress": "El model s'està entrenant actualment",
+    "noNewImages": "Sense noves imatges per entrenar. Classifica més imatges primer.",
+    "modelNotReady": "El model no está preparat per entrenar",
+    "noChanges": "No hi ha canvis al conjunt de dades des de l'última formació."
+  },
+  "none": "Cap"
+}
diff --git a/web/public/locales/ca/views/events.json b/web/public/locales/ca/views/events.json
index 99d56c1d9..5f3c5ea95 100644
--- a/web/public/locales/ca/views/events.json
+++ b/web/public/locales/ca/views/events.json
@@ -10,7 +10,11 @@
   "empty": {
     "alert": "Hi ha cap alerta per revisar",
     "detection": "Hi ha cap detecció per revisar",
-    "motion": "No s'haan trobat dades de moviment"
+    "motion": "No s'haan trobat dades de moviment",
+    "recordingsDisabled": {
+      "title": "S'han d'activar les gravacions",
+      "description": "Només es poden revisar temes quan s'han activat les gravacions de la càmera."
+    }
   },
   "timeline": "Línia de temps",
   "timeline.aria": "Seleccionar línia de temps",
@@ -36,5 +40,28 @@
   "selected_one": "{{count}} seleccionats",
   "selected_other": "{{count}} seleccionats",
   "suspiciousActivity": "Activitat sospitosa",
-  "threateningActivity": "Activitat amenaçadora"
+  "threateningActivity": "Activitat amenaçadora",
+  "detail": {
+    "noDataFound": "No hi ha dades detallades a revisar",
+    "trackedObject_one": "{{count}} objecte",
+    "aria": "Canvia la vista de detall",
+    "trackedObject_other": "{{count}} objectes",
+    "noObjectDetailData": "No hi ha dades de detall d'objecte disponibles.",
+    "label": "Detall",
+    "settings": "Configuració de la vista detallada",
+    "alwaysExpandActive": {
+      "title": "Expandeix sempre actiu",
+      "desc": "Expandeix sempre els detalls de l'objecte de la revisió activa quan estigui disponible."
+    }
+  },
+  "objectTrack": {
+    "clickToSeek": "Feu clic per cercar aquesta hora",
+    "trackedPoint": "Punt de seguiment"
+  },
+  "zoomIn": "Amplia",
+  "zoomOut": "Redueix",
+  "normalActivity": "Normal",
+  "needsReview": "Necessita revisió",
+  "securityConcern": "Preocupació per la seguretat",
+  "select_all": "Tots"
 }
diff --git a/web/public/locales/ca/views/explore.json b/web/public/locales/ca/views/explore.json
index 3b79a696f..2c94e50f5 100644
--- a/web/public/locales/ca/views/explore.json
+++ b/web/public/locales/ca/views/explore.json
@@ -84,7 +84,9 @@
     "details": "detalls",
     "snapshot": "instantània",
     "video": "vídeo",
-    "object_lifecycle": "cicle de vida de l'objecte"
+    "object_lifecycle": "cicle de vida de l'objecte",
+    "thumbnail": "miniatura",
+    "tracking_details": "detalls del seguiment"
   },
   "details": {
     "timestamp": "Marca temporal",
@@ -98,13 +100,15 @@
           "updatedSublabel": "Subetiqueta actualitzada amb èxit.",
           "updatedLPR": "Matrícula actualitzada amb èxit.",
           "regenerate": "El {{provider}} ha sol·licitat una nova descripció. En funció de la velocitat del vostre proveïdor, la nova descripció pot trigar un temps a regenerar-se.",
-          "audioTranscription": "Transcripció d'àudio sol·licitada amb èxit."
+          "audioTranscription": "S'ha sol·licitat correctament la transcripció d'àudio. Depenent de la velocitat del vostre servidor Frigate, la transcripció pot trigar una estona a completar-se.",
+          "updatedAttributes": "Els atributs s'han actualitzat correctament."
         },
         "error": {
           "regenerate": "No s'ha pogut contactar amb {{provider}} per obtenir una nova descripció: {{errorMessage}}",
           "updatedSublabelFailed": "No s'ha pogut actualitzar la subetiqueta: {{errorMessage}}",
           "updatedLPRFailed": "No s'ha pogut actualitzar la matrícula: {{errorMessage}}",
-          "audioTranscription": "Error en demanar la transcripció d'audio {{errorMessage}}"
+          "audioTranscription": "Error en demanar la transcripció d'audio {{errorMessage}}",
+          "updatedAttributesFailed": "No s'han pogut actualitzar els atributs: {{errorMessage}}"
         }
       },
       "title": "Revisar detalls de l'element",
@@ -160,6 +164,14 @@
     },
     "score": {
       "label": "Puntuació"
+    },
+    "editAttributes": {
+      "title": "Edita els atributs",
+      "desc": "Seleccioneu els atributs de classificació per a aquesta {{label}}"
+    },
+    "attributes": "Atributs de classificació",
+    "title": {
+      "label": "Títol"
     }
   },
   "searchResult": {
@@ -169,7 +181,9 @@
         "success": "L'objectes amb seguiment s'ha suprimit correctament.",
         "error": "No s'ha pogut suprimir l'objecte rastrejat: {{errorMessage}}"
       }
-    }
+    },
+    "nextTrackedObject": "Següent objecte rastrejat",
+    "previousTrackedObject": "Objecte rastrejat anterior"
   },
   "itemMenu": {
     "downloadVideo": {
@@ -206,13 +220,27 @@
     "audioTranscription": {
       "label": "Transcriu",
       "aria": "Demanar una transcripció d'audio"
+    },
+    "showObjectDetails": {
+      "label": "Mostra la ruta de l'objecte"
+    },
+    "hideObjectDetails": {
+      "label": "Amaga la ruta de l'objecte"
+    },
+    "viewTrackingDetails": {
+      "label": "Veure detalls de seguiment",
+      "aria": "Mostra els detalls de seguiment"
+    },
+    "downloadCleanSnapshot": {
+      "label": "Descarrega la instantània neta",
+      "aria": "Descarrega la instantània neta"
     }
   },
   "noTrackedObjects": "No s'han trobat objectes rastrejats",
   "dialog": {
     "confirmDelete": {
       "title": "Confirmar la supressió",
-      "desc": "Eliminant aquest objecte seguit borrarà l'snapshot, qualsevol embedding gravat, i qualsevol objecte associat. Les imatges gravades d'aquest objecte seguit en l'historial <em>NO</em> seràn eliminades.<br /><br />Estas segur que vols continuar?"
+      "desc": "Eliminant aquest objecte seguit borrarà l'snapshot, qualsevol embedding gravat, i qualsevol detall de seguiment. Les imatges gravades d'aquest objecte seguit en l'historial <em>NO</em> seràn eliminades.<br /><br />Estas segur que vols continuar?"
     }
   },
   "fetchingTrackedObjectsFailed": "Error al obtenir objectes rastrejats: {{errorMessage}}",
@@ -224,5 +252,54 @@
   },
   "concerns": {
     "label": "Preocupacions"
+  },
+  "trackingDetails": {
+    "title": "Detalls de seguiment",
+    "noImageFound": "No s'ha trobat cap imatge amb aquesta hora.",
+    "createObjectMask": "Crear màscara d'objecte",
+    "adjustAnnotationSettings": "Ajustar configuració d'anotacions",
+    "scrollViewTips": "Feu clic per veure els moments significatius del cicle de vida d'aquest objecte.",
+    "autoTrackingTips": "Limitar les posicións de la caixa serà inacurat per càmeras de seguiment automàtic.",
+    "count": "{{first}} de {{second}}",
+    "trackedPoint": "Punt Seguit",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} detectat",
+      "entered_zone": "{{label}} ha entrat a {{zones}}",
+      "active": "{{label}} ha esdevingut actiu",
+      "stationary": "{{label}} ha esdevingut estacionari",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} detectat per {{label}}",
+        "other": "{{label}} reconegut com a {{attribute}}"
+      },
+      "gone": "{{label}} esquerra",
+      "heard": "{{label}} sentit",
+      "external": "{{label}} detectat",
+      "header": {
+        "zones": "Zones",
+        "ratio": "Ràtio",
+        "area": "Àrea",
+        "score": "Puntuació"
+      }
+    },
+    "annotationSettings": {
+      "title": "Configuració d'anotacions",
+      "showAllZones": {
+        "title": "Mostra totes les Zones",
+        "desc": "Mostra sempre les zones amb marcs on els objectes hagin entrat a la zona."
+      },
+      "offset": {
+        "label": "Òfset d'Anotació",
+        "desc": "Aquestes dades provenen del flux de detecció de la càmera, però se superposen a les imatges del flux de gravació. És poc probable que els dos fluxos estiguin perfectament sincronitzats. Com a resultat, el quadre delimitador i les imatges no s'alinearan perfectament. Tanmateix, es pot utilitzar el camp <code>annotation_offset</code> per ajustar-ho.",
+        "millisecondsToOffset": "Millisegons per l'òfset de detecció d'anotacions per. <em>Per defecte: 0</em>",
+        "tips": "Reduïu el valor si la reproducció del vídeo es troba per davant dels quadres i els punts de ruta, i augmenteu-lo si es troba per darrere. Aquest valor pot ser negatiu.",
+        "toast": {
+          "success": "El desplaçament de l'anotació per {{camera}} s'ha desat al fitxer de configuració."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Diapositiva anterior",
+      "next": "Dispositiva posterior"
+    }
   }
 }
diff --git a/web/public/locales/ca/views/exports.json b/web/public/locales/ca/views/exports.json
index dfe5de963..dec2726ff 100644
--- a/web/public/locales/ca/views/exports.json
+++ b/web/public/locales/ca/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "Error al canviar el nom de l’exportació: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Comparteix l'exportació",
+    "downloadVideo": "Baixa el vídeo",
+    "editName": "Edita el nom",
+    "deleteExport": "Suprimeix l'exportació"
   }
 }
diff --git a/web/public/locales/ca/views/faceLibrary.json b/web/public/locales/ca/views/faceLibrary.json
index 356691315..d2a5fcf34 100644
--- a/web/public/locales/ca/views/faceLibrary.json
+++ b/web/public/locales/ca/views/faceLibrary.json
@@ -12,13 +12,14 @@
   "collections": "Col·leccions",
   "train": {
     "empty": "No hi ha intents recents de reconeixement de rostres",
-    "title": "Entrenar",
-    "aria": "Seleccionar entrenament"
+    "title": "Reconeixements recents",
+    "aria": "Selecciona els reconeixements recents",
+    "titleShort": "Recent"
   },
   "description": {
-    "addFace": "Guia per a agregar una nova colecció a la biblioteca de rostres.",
+    "addFace": "Afegiu una col·lecció nova a la biblioteca de cares pujant la vostra primera imatge.",
     "placeholder": "Introduïu un nom per a aquesta col·lecció",
-    "invalidName": "Nom no vàlid. Els noms només poden incloure lletres, números, espais, apòstrofs, guions baixos i guionets."
+    "invalidName": "Nom no vàlid. Els noms només poden incloure lletres, números, espais, apòstrofs, guions baixos i guions."
   },
   "documentTitle": "Biblioteca de rostres - Frigate",
   "uploadFaceImage": {
@@ -54,7 +55,7 @@
       "selectImage": "Siusplau, selecciona un fixer d'imatge."
     },
     "maxSize": "Mida màxima: {{size}}MB",
-    "dropInstructions": "Arrastra una imatge aquí, o fes clic per a selccionar-ne una"
+    "dropInstructions": "Arrossegueu i deixeu anar o enganxeu una imatge aquí, o feu clic per seleccionar"
   },
   "button": {
     "uploadImage": "Pujar imatge",
@@ -67,7 +68,7 @@
   "toast": {
     "success": {
       "trainedFace": "Rostre entrenat amb èxit.",
-      "updatedFaceScore": "Puntació de rostre actualitzada amb èxit.",
+      "updatedFaceScore": "S'ha actualitzat correctament la puntuació de la cara a {{name}} ({{score}}).",
       "uploadedImage": "Imatge pujada amb èxit.",
       "addFaceLibrary": "{{name}} s'ha afegit amb èxit a la biblioteca de rostres!",
       "deletedName_one": "{{count}} rostre s'ha suprimit amb èxit.",
diff --git a/web/public/locales/ca/views/live.json b/web/public/locales/ca/views/live.json
index f4d20fc70..d9245fe7c 100644
--- a/web/public/locales/ca/views/live.json
+++ b/web/public/locales/ca/views/live.json
@@ -86,8 +86,8 @@
     "disable": "Amaga estadístiques de la transmissió"
   },
   "manualRecording": {
-    "title": "Gravació sota demanda",
-    "tips": "Iniciar un event manual basat en els paràmetres de retenció de gravació per aquesta càmera.",
+    "title": "Sota demanda",
+    "tips": "Baixeu una instantània o inicieu un esdeveniment manual basat en la configuració de retenció d'enregistrament d'aquesta càmera.",
     "playInBackground": {
       "label": "Reproduir en segon pla",
       "desc": "Habilita aquesta opció per a continuar la transmissió quan el reproductor està amagat."
@@ -130,6 +130,9 @@
     "playInBackground": {
       "label": "Reproduir en segon pla",
       "tips": "Habilita aquesta opció per a contiuar la transmissió tot i que el reproductor estigui ocult."
+    },
+    "debug": {
+      "picker": "Selecció de stream no disponible en mode debug. La vista debug sempre fa servir el stream assignat pel rol de detecció."
     }
   },
   "streamingSettings": "Paràmetres de transmissió",
@@ -167,5 +170,20 @@
   "transcription": {
     "enable": "Habilita la transcripció d'àudio en temps real",
     "disable": "Deshabilita la transcripció d'àudio en temps real"
+  },
+  "snapshot": {
+    "takeSnapshot": "Descarregar una instantània",
+    "noVideoSource": "No hi ha cap font de video per fer una instantània.",
+    "captureFailed": "Error capturant una instantània.",
+    "downloadStarted": "Inici de baixada d'instantània."
+  },
+  "noCameras": {
+    "title": "No s'ha configurat cap càmera",
+    "description": "Comenceu connectant una càmera a Frigate.",
+    "buttonText": "Afegeix una càmera",
+    "restricted": {
+      "title": "No hi ha càmeres disponibles",
+      "description": "No teniu permís per veure cap càmera en aquest grup."
+    }
   }
 }
diff --git a/web/public/locales/ca/views/search.json b/web/public/locales/ca/views/search.json
index 3f5940348..71f333180 100644
--- a/web/public/locales/ca/views/search.json
+++ b/web/public/locales/ca/views/search.json
@@ -15,7 +15,8 @@
       "max_speed": "Velocitat màxima",
       "recognized_license_plate": "Matrícula reconeguda",
       "has_clip": "Té Clip",
-      "has_snapshot": "Té instantània"
+      "has_snapshot": "Té instantània",
+      "attributes": "Atributs"
     },
     "searchType": {
       "thumbnail": "Miniatura",
@@ -55,12 +56,12 @@
   "searchFor": "Buscar {{inputValue}}",
   "button": {
     "clear": "Netejar cerca",
-    "save": "Desar la cerca",
-    "delete": "Suprimeix la recerca desada",
-    "filterInformation": "Informació de filtre",
+    "save": "Desa la cerca",
+    "delete": "Elimina la recerca desada",
+    "filterInformation": "Informació del filtre",
     "filterActive": "Filtres actius"
   },
-  "trackedObjectId": "ID d'objecte rastrejat",
+  "trackedObjectId": "ID de l'objecte rastrejat",
   "placeholder": {
     "search": "Cercar…"
   },
diff --git a/web/public/locales/ca/views/settings.json b/web/public/locales/ca/views/settings.json
index 900c6b3c0..88b75bca6 100644
--- a/web/public/locales/ca/views/settings.json
+++ b/web/public/locales/ca/views/settings.json
@@ -7,9 +7,11 @@
     "authentication": "Configuració d'autenticació - Frigate",
     "camera": "Paràmetres de càmera - Frigate",
     "masksAndZones": "Editor de màscares i zones - Frigate",
-    "general": "Paràmetres Generals - Frigate",
+    "general": "Configuració de la interfície d'usuari - Fragata",
     "frigatePlus": "Paràmetres de Frigate+ - Frigate",
-    "notifications": "Paràmetres de notificació - Frigate"
+    "notifications": "Paràmetres de notificació - Frigate",
+    "cameraManagement": "Gestionar càmeres - Frigate",
+    "cameraReview": "Configuració Revisió de Càmeres - Frigate"
   },
   "menu": {
     "ui": "Interfície d'usuari",
@@ -21,7 +23,10 @@
     "debug": "Depuració",
     "frigateplus": "Frigate+",
     "enrichments": "Enriquiments",
-    "triggers": "Disparadors"
+    "triggers": "Disparadors",
+    "cameraManagement": "Gestió",
+    "cameraReview": "Revisió",
+    "roles": "Rols"
   },
   "dialog": {
     "unsavedChanges": {
@@ -34,7 +39,7 @@
     "noCamera": "Cap càmera"
   },
   "general": {
-    "title": "Paràmetres generals",
+    "title": "Paràmetres de la interfície d'usuari",
     "liveDashboard": {
       "title": "Panell en directe",
       "automaticLiveView": {
@@ -44,6 +49,14 @@
       "playAlertVideos": {
         "label": "Reproduir vídeos d’alerta",
         "desc": "Per defecte, les alertes recents al tauler en directe es reprodueixen com a vídeos petits en bucle. Desactiva aquesta opció per mostrar només una imatge estàtica de les alertes recents en aquest dispositiu/navegador."
+      },
+      "displayCameraNames": {
+        "label": "Mostra sempre els noms de la càmera",
+        "desc": "Mostra sempre els noms de les càmeres en un xip al tauler de visualització en directe multicàmera."
+      },
+      "liveFallbackTimeout": {
+        "label": "Temps d'espera per a la reserva del jugador en directe",
+        "desc": "Quan el flux en viu d'alta qualitat d'una càmera no està disponible, torneu al mode d'amplada de banda baixa després d'aquests molts segons. Per defecte: 3."
       }
     },
     "storedLayouts": {
@@ -109,7 +122,8 @@
           "mustBeAtLeastTwoCharacters": "El nom de la zona ha de contenir com a mínim 2 caràcters.",
           "mustNotContainPeriod": "El nom de la zona no pot contenir punts.",
           "alreadyExists": "Ja existeix una zona amb aquest nom per a aquesta càmera.",
-          "mustNotBeSameWithCamera": "El nom de la zona no pot ser el mateix que el nom de la càmera."
+          "mustNotBeSameWithCamera": "El nom de la zona no pot ser el mateix que el nom de la càmera.",
+          "mustHaveAtLeastOneLetter": "El nom de la zona ha de tenir almenys una lletra."
         }
       },
       "inertia": {
@@ -158,7 +172,7 @@
       "name": {
         "inputPlaceHolder": "Introduïu un nom…",
         "title": "Nom",
-        "tips": "El nom ha de tenir almenys 2 caràcters i no pot coincidir amb el nom d'una càmera ni amb el d'una altra zona."
+        "tips": "El nom ha de tenir almenys 2 caràcters, ha de tenir almenys una lletra, i no ha de ser el nom d'una càmera o una altra zona en aquesta càmera."
       },
       "label": "Zones",
       "desc": {
@@ -185,7 +199,7 @@
       },
       "clickDrawPolygon": "Fes click per a dibuixar un polígon a la imatge.",
       "toast": {
-        "success": "La zona {{zoneName}} ha estat desada. Reinicia Frigate per a aplicar els canvis."
+        "success": "S'ha desat la zona ({{zoneName}})."
       }
     },
     "filter": {
@@ -215,8 +229,8 @@
       "clickDrawPolygon": "Fes click per a dibuixar un polígon a la imatge.",
       "toast": {
         "success": {
-          "title": "{{polygonName}} s'ha desat. Reinicia Frigate per a aplicar els canvis.",
-          "noName": "La màscara de moviment ha estat desada. Reinicia Frigate per aplicar els canvis."
+          "title": "{{polygonName}} s'ha desat.",
+          "noName": "La màscara de moviment ha estat desada."
         }
       }
     },
@@ -240,8 +254,8 @@
       "clickDrawPolygon": "Fes click per a dibuixar un polígon a la imatge.",
       "toast": {
         "success": {
-          "title": "{{polygonName}} s'ha desat. Reinicia Frigate per a aplicar els canvis.",
-          "noName": "La màscara d'objectes ha estat desada. Reincia Frigate per a aplicar els canvis."
+          "title": "{{polygonName}} s'ha desat.",
+          "noName": "La màscara d'objectes ha estat desada."
         }
       },
       "context": "Les màscares de filtratge d’objectes s’utilitzen per descartar falsos positius d’un tipus d’objecte concret segons la seva ubicació."
@@ -470,7 +484,7 @@
   "users": {
     "table": {
       "username": "Usuari",
-      "password": "Contrasenya",
+      "password": "Restableix la contrasenya",
       "deleteUser": "Suprimir usuari",
       "noUsers": "No s'han trobat usuaris.",
       "changeRole": "Canviar la funció d’usuari",
@@ -513,7 +527,16 @@
           "notMatch": "Les contrasenyes no coincideixen",
           "match": "Les contrasenyes coincideixen",
           "placeholder": "Introdueix la contrasenya",
-          "title": "Contrasenya"
+          "title": "Contrasenya",
+          "show": "Mostra contrasenya",
+          "hide": "Amaga contrasenya",
+          "requirements": {
+            "title": "Requisits contrasenya:",
+            "length": "Com a mínim 8 carácters",
+            "uppercase": "Com a mínim una majúscula",
+            "digit": "Com a mínim un digit",
+            "special": "Com a mínim un carácter especial (!@#$%^&*(),.?\":{}|<>)"
+          }
         },
         "newPassword": {
           "title": "Nova contrasenya",
@@ -523,14 +546,23 @@
           }
         },
         "usernameIsRequired": "El nom d'usuari és obligatori",
-        "passwordIsRequired": "La contrasenya és obligatoria"
+        "passwordIsRequired": "La contrasenya és obligatoria",
+        "currentPassword": {
+          "title": "Constrasenya actual",
+          "placeholder": "Entra l'actual contrasenya"
+        }
       },
       "passwordSetting": {
         "updatePassword": "Contrasenya actualitzada per {{username}}",
         "setPassword": "Estableix Contrasenya",
         "cannotBeEmpty": "La contrasenya no pot ser buida",
         "doNotMatch": "Les contrasenyes no coincideixen",
-        "desc": "Crea un nova contrasenya segura per protegir aquest compte."
+        "desc": "Crea un nova contrasenya segura per protegir aquest compte.",
+        "currentPasswordRequired": "L'actual contrasenya es requerida",
+        "incorrectCurrentPassword": "L'actual contrasenya es incorrecte",
+        "passwordVerificationFailed": "Falla en la verificació de la contrasenya",
+        "multiDeviceWarning": "Serà necesari loguejarte en qualsevol altre dispositiu en que estiguis loguejat en {{refresh_time}}.",
+        "multiDeviceAdmin": "També pots forçar a tots els usuaris a tornar a autenticar-se immediatament rotant el teu secret JWT."
       },
       "deleteUser": {
         "title": "Suprimir usuari",
@@ -563,7 +595,7 @@
       "title": "Gestió d'usuaris",
       "desc": "Gestioneu els comptes d'usuari d'aquesta instància de Frigate."
     },
-    "updatePassword": "Actualitzar contrasenya"
+    "updatePassword": "Restableix la contrasenya"
   },
   "frigatePlus": {
     "snapshotConfig": {
@@ -664,7 +696,7 @@
       "title": "Classificació d'ocells",
       "desc": "La classificació d’ocells identifica ocells coneguts mitjançant un model TensorFlow quantitzat. Quan es reconeix un ocell conegut, el seu nom comú s’afegeix com a subetiqueta. Aquesta informació es mostra a la interfície d’usuari, als filtres i també a les notificacions."
     },
-    "title": "Parmàmetres complementaris",
+    "title": "Configuració dels enriquiments",
     "toast": {
       "error": "No s'han pogut guardar els canvis de configuració: {{errorMessage}}",
       "success": "Els paràmetres complementaris s'han desat. Reinicia Frigate per aplicar els canvis."
@@ -689,7 +721,9 @@
     },
     "actions": {
       "alert": "Marcar com Alerta",
-      "notification": "Enviar Notificació"
+      "notification": "Enviar Notificació",
+      "sub_label": "Afegeix una subetiqueta",
+      "attribute": "Afegeix un atribut"
     },
     "dialog": {
       "createTrigger": {
@@ -707,25 +741,28 @@
       "form": {
         "name": {
           "title": "Nom",
-          "placeholder": "Entrar el nom del disparador",
+          "placeholder": "Anomena aquest activador",
           "error": {
-            "minLength": "El nom ha de tenir almenys 2 caràcters de llargada.",
-            "invalidCharacters": "El nom només pot contenir lletres, números, guions i guinons baixos.",
+            "minLength": "El camp ha de tenir almenys 2 caràcters.",
+            "invalidCharacters": "El camp només pot contenir lletres, números, guions baixos i guions.",
             "alreadyExists": "El disparador amb aquest nom ja existeix per aquesta càmera."
-          }
+          },
+          "description": "Introduïu un nom o una descripció únics per a identificar aquest activador"
         },
         "enabled": {
           "description": "Activar o desactivar aquest disparador"
         },
         "type": {
           "title": "Tipus",
-          "placeholder": "Selecciona un tipus de disparador"
+          "placeholder": "Selecciona un tipus de disparador",
+          "description": "Activa quan es detecta una descripció similar d'un objecte rastrejat",
+          "thumbnail": "Activa quan es detecti una miniatura d'objecte rastrejada similar"
         },
         "content": {
           "title": "Contingut",
-          "imagePlaceholder": "Selecciona una imatge",
+          "imagePlaceholder": "Selecciona una miniatura",
           "textPlaceholder": "Entra el contingut de text",
-          "imageDesc": "Selecciona una imatge per disparar aquesta acció quan una imatge similar sigui detectada.",
+          "imageDesc": "Només es mostren les 100 miniatures més recents. Si no podeu trobar la miniatura desitjada, reviseu els objectes anteriors a Explora i configureu un activador des del menú.",
           "textDesc": "Entra el text per disparar aquesta acció quan es detecti una descripció d'objecte a rastrejar similar.",
           "error": {
             "required": "Contigunt requerit."
@@ -736,14 +773,20 @@
           "error": {
             "min": "El llindar ha de ser mínim 0",
             "max": "El llindar ha de ser máxim 1"
-          }
+          },
+          "desc": "Estableix el llindar de similitud per a aquest activador. Un llindar més alt significa que es requereix una coincidència més propera per disparar el disparador."
         },
         "actions": {
           "title": "Accions",
-          "desc": "Per defecte, Frigate dispara un missatge MQTT per tots els disparadors. Tria una acció adicional per realitzar quan aquest disparador dispari.",
+          "desc": "Per defecte, Frigate dispara un missatge MQTT per a tots els activadors. Subetiquetes afegeix el nom de l'activador a l'etiqueta de l'objecte. Els atributs són metadades cercables emmagatzemades per separat a les metadades de l'objecte rastrejat.",
           "error": {
             "min": "S'ha de seleccionar una acció com a mínim."
           }
+        },
+        "friendly_name": {
+          "title": "Nom amistós",
+          "placeholder": "Nom o descripció d'aquest disparador",
+          "description": "Un nom opcional amistós o text descriptiu per a aquest activador."
         }
       }
     },
@@ -761,10 +804,31 @@
     },
     "documentTitle": "Disparadors",
     "management": {
-      "title": "Gestió de disparadors",
-      "desc": "Gestionar els disparadors de {{camera}}. Usa les tipus de miniatures per disparar miniatures similars a l'objecte a seguir seleccionat, i el tipus de descripció per disparar en cas de descripcions similars a l'especificada."
+      "title": "Activadors",
+      "desc": "Gestionar els disparadors de {{camera}}. Usa els tipus de miniatures per disparar miniatures similars a l'objecte a seguir seleccionat, i el tipus de descripció per disparar en cas de descripcions similars a l'especificada."
     },
-    "addTrigger": "Afegir disaprador"
+    "addTrigger": "Afegir disaprador",
+    "semanticSearch": {
+      "desc": "La cerca semàntica ha d'estar activada per a utilitzar els activadors.",
+      "title": "La cerca semàntica està desactivada"
+    },
+    "wizard": {
+      "title": "Crea un activador",
+      "step1": {
+        "description": "Configura la configuració bàsica per al vostre activador."
+      },
+      "step2": {
+        "description": "Configura el contingut que activarà aquesta acció."
+      },
+      "step3": {
+        "description": "Configura el llindar i les accions d'aquest activador."
+      },
+      "steps": {
+        "nameAndType": "Nom i tipus",
+        "configureData": "Configura les dades",
+        "thresholdAndActions": "Llindar i accions"
+      }
+    }
   },
   "roles": {
     "dialog": {
@@ -816,7 +880,9 @@
         "createRole": "Rol {{role}} creat exitosament",
         "updateCameras": "Càmeres actualitzades per al rol {{role}}",
         "deleteRole": "Rol {{role}} eliminat exitosament",
-        "userRolesUpdated": "{{count}} usuari(s) asignats a aquest rol s'han actualitzat a 'visor', i tenen accés a totes les càmeres."
+        "userRolesUpdated_one": "{{count}} l'usuari assignat a aquest rol s'ha actualitzat a 'visor', que té accés a totes les càmeres.",
+        "userRolesUpdated_many": "{{count}} usuaris assignats a aquest rol s'han actualitzat a 'visor', que té accés a totes les càmeres.",
+        "userRolesUpdated_other": "{{count}} usuaris assignats a aquest rol s'han actualitzat a 'visor', que té accés a totes les càmeres."
       },
       "error": {
         "createRoleFailed": "Error al crear el rol: {{errorMessage}}",
@@ -825,5 +891,358 @@
         "userUpdateFailed": "Error a l'actualitzar els ros d'usuari: {{errorMessage}}"
       }
     }
+  },
+  "cameraWizard": {
+    "title": "Afegir Càmera",
+    "description": "Seguiu els passos de sota per afegir una nova càmera a la instal·lació.",
+    "steps": {
+      "nameAndConnection": "Nom i connexió",
+      "streamConfiguration": "Configuració de stream",
+      "validationAndTesting": "Validació i proves",
+      "probeOrSnapshot": "Prova o instantània"
+    },
+    "step1": {
+      "cameraBrand": "Marca de la càmera",
+      "description": "Introduïu els detalls de la càmera i trieu provar la càmera o seleccionar manualment la marca.",
+      "cameraName": "Nom de la càmera",
+      "cameraNamePlaceholder": "p. ex., vista general de la porta davantera o de la barra posterior",
+      "host": "Adreça de l'amfitrió/IP",
+      "port": "Port",
+      "username": "Nom d'usuari",
+      "usernamePlaceholder": "Opcional",
+      "password": "Contrasenya",
+      "passwordPlaceholder": "Opcional",
+      "selectTransport": "Selecciona el protocol de transport",
+      "brandInformation": "Informació de marca",
+      "brandUrlFormat": "Per a càmeres amb el format d'URL RTSP com: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://usuari:contrasenya@host:port/ruta",
+      "testConnection": "Prova la connexió",
+      "testSuccess": "Prova de connexió correcta!",
+      "testFailed": "Ha fallat la prova de connexió. Si us plau, comproveu la vostra entrada i torneu-ho a provar.",
+      "streamDetails": "Detalls del flux",
+      "warnings": {
+        "noSnapshot": "No s'ha pogut obtenir una instantània del flux configurat."
+      },
+      "errors": {
+        "brandOrCustomUrlRequired": "Seleccioneu una marca de càmera amb host/IP o trieu 'Altres' amb un URL personalitzat",
+        "nameRequired": "Es requereix el nom de la càmera",
+        "nameLength": "El nom de la càmera ha de tenir 64 caràcters o menys",
+        "invalidCharacters": "El nom de la càmera conté caràcters no vàlids",
+        "nameExists": "El nom de la càmera ja existeix",
+        "brands": {
+          "reolink-rtsp": "No es recomana Reolink RST. Es recomana habilitar HTTP a la configuració de la càmera i reiniciar l'assistent de la càmera."
+        },
+        "customUrlRtspRequired": "Els URL personalitzats han de començar amb \"rtsp://\". Es requereix configuració manual per a fluxos de càmera no RTSP."
+      },
+      "selectBrand": "Seleccioneu la marca de la càmera per a la plantilla d'URL",
+      "customUrl": "URL de flux personalitzat",
+      "docs": {
+        "reolink": "https://docs.frigate.video/configuration/camera_specific.html#reolink-cameras"
+      },
+      "testing": {
+        "probingMetadata": "S'estan provant les metadades de la càmera...",
+        "fetchingSnapshot": "S'està recuperant la instantània de la càmera..."
+      },
+      "connectionSettings": "Configuració de la connexió",
+      "detectionMethod": "Mètode de detecció de flux",
+      "onvifPort": "ONVIF Port",
+      "probeMode": "Càmera de prova",
+      "manualMode": "Selecció manual",
+      "detectionMethodDescription": "Proveu la càmera amb ONVIF (si és compatible) per trobar URL de flux de càmera, o seleccioneu manualment la marca de càmera per utilitzar URL predefinits. Per a introduir un URL RTSP personalitzat, trieu el mètode manual i seleccioneu \"Altres\".",
+      "onvifPortDescription": "Per a les càmeres que suporten ONVIF, això sol ser 80 o 8080.",
+      "useDigestAuth": "Utilitza l'autenticació digest",
+      "useDigestAuthDescription": "Usa l'autenticació de resum HTTP per a ONVIF. Algunes càmeres poden requerir un nom d'usuari/contrasenya ONVIF dedicat en lloc de l'usuari administrador estàndard."
+    },
+    "save": {
+      "failure": "SS'ha produït un error en desar {{cameraName}}.",
+      "success": "S'ha desat correctament la càmera nova {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Resolució",
+      "video": "Vídeo",
+      "audio": "Àudio",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Proporcioneu un URL de flux vàlid",
+      "testFailed": "Ha fallat la prova de flux: {{error}}"
+    },
+    "step2": {
+      "description": "Proveu la càmera per als fluxos disponibles o configureu la configuració manual basada en el mètode de detecció seleccionat.",
+      "streamsTitle": "Fluxos de la càmera",
+      "addStream": "Afegeix un flux",
+      "addAnotherStream": "Afegeix un altre flux",
+      "streamTitle": "Flux {{number}}",
+      "streamUrl": "URL del flux",
+      "url": "URL",
+      "resolution": "Resolució",
+      "selectResolution": "Selecciona la resolució",
+      "quality": "Qualitat",
+      "selectQuality": "Selecciona la qualitat",
+      "roleLabels": {
+        "detect": "Detecció d'objectes",
+        "record": "Enregistrament",
+        "audio": "Àudio"
+      },
+      "testStream": "Prova la connexió",
+      "testSuccess": "Prova de connexió correcta!",
+      "testFailed": "Ha fallat la prova de connexió. Si us plau, comproveu la vostra entrada i torneu-ho a provar.",
+      "testFailedTitle": "Ha fallat la prova",
+      "connected": "Connectat",
+      "notConnected": "No connectat",
+      "featuresTitle": "Característiques",
+      "go2rtc": "Redueix les connexions a la càmera",
+      "detectRoleWarning": "Almenys un flux ha de tenir el rol de \"detecte\" per continuar.",
+      "rolesPopover": {
+        "title": "Rols de flux",
+        "detect": "Canal principal per a la detecció d'objectes.",
+        "record": "Desa els segments del canal de vídeo basats en la configuració.",
+        "audio": "Canal per a la detecció basada en àudio."
+      },
+      "featuresPopover": {
+        "title": "Característiques del flux",
+        "description": "Utilitzeu el restreaming go2rtc per reduir les connexions a la càmera."
+      },
+      "roles": "Rols",
+      "streamUrlPlaceholder": "rtsp://usuari:contrasenya@host:port/ruta",
+      "streamDetails": "Detalls del flux",
+      "probing": "Provant càmera...",
+      "retry": "Intentar de nou",
+      "testing": {
+        "probingMetadata": "S'estan provant les metadades de la càmera...",
+        "fetchingSnapshot": "S'està recuperant la instantània de la càmera..."
+      },
+      "probeFailed": "No s'ha pogut provar la càmera: {{error}}",
+      "probingDevice": "Provant dispositiu...",
+      "probeSuccessful": "Prova exitosa",
+      "probeError": "Error de prova",
+      "probeNoSuccess": "La prova no ha tingut èxit",
+      "deviceInfo": "Informació del dispositiu",
+      "manufacturer": "Fabricant",
+      "model": "Model",
+      "firmware": "Firmware",
+      "profiles": "Perfils",
+      "ptzSupport": "Suport PTZ",
+      "autotrackingSupport": "Implementació de seguiment automàtic",
+      "presets": "Predefinits",
+      "rtspCandidates": "Candidats RTSP",
+      "rtspCandidatesDescription": "S'han trobat els següents URL RTSP de la sonda de la càmera. Proveu la connexió per a veure les metadades del flux.",
+      "noRtspCandidates": "No s'ha trobat cap URL RTSP a la càmera. Les vostres credencials poden ser incorrectes, o la càmera pot no admetre ONVIF o el mètode utilitzat per recuperar els URL RTSP. Torneu enrere i introduïu l'URL RTSP manualment.",
+      "candidateStreamTitle": "Candidat {{number}}",
+      "useCandidate": "Utilitza",
+      "uriCopy": "Copia",
+      "uriCopied": "URI copiat al porta-retalls",
+      "testConnection": "Prova la connexió",
+      "toggleUriView": "Feu clic per a commutar la vista completa de l'URI",
+      "errors": {
+        "hostRequired": "Es requereix l'adreça de l'amfitrió/IP"
+      }
+    },
+    "step3": {
+      "none": "Cap",
+      "error": "Error",
+      "saveAndApply": "Desa una càmera nova",
+      "saveError": "Configuració no vàlida. Si us plau, comproveu la configuració.",
+      "issues": {
+        "title": "Validació del flux",
+        "videoCodecGood": "El còdec de vídeo és {{codec}}.",
+        "audioCodecGood": "El còdec d'àudio és {{codec}}.",
+        "noAudioWarning": "No s'ha detectat cap àudio per a aquest flux, els enregistraments no tindran àudio.",
+        "audioCodecRecordError": "El còdec d'àudio AAC és necessari per a suportar l'àudio en els enregistraments.",
+        "audioCodecRequired": "Es requereix un flux d'àudio per admetre la detecció d'àudio.",
+        "restreamingWarning": "Reduir les connexions a la càmera per al flux de registre pot augmentar lleugerament l'ús de la CPU.",
+        "dahua": {
+          "substreamWarning": "El substream 1 està bloquejat a una resolució baixa. Moltes càmeres Dahua / Amcrest / EmpireTech suporten subfluxos addicionals que han d'estar habilitats a la configuració de la càmera. Es recomana comprovar i utilitzar aquests corrents si estan disponibles."
+        },
+        "hikvision": {
+          "substreamWarning": "El substream 1 està bloquejat a una resolució baixa. Moltes càmeres Hikvision suporten subfluxos addicionals que han d'estar habilitats a la configuració de la càmera. Es recomana comprovar i utilitzar aquests corrents si estan disponibles."
+        },
+        "resolutionHigh": "Una resolució de {{resolution}} pot causar un ús més gran dels recursos.",
+        "resolutionLow": "Una resolució de {{resolution}} pot ser massa baixa per a la detecció fiable d'objectes petits."
+      },
+      "description": "Configura els rols de flux i afegeix fluxos addicionals per a la càmera.",
+      "validationTitle": "Validació del flux",
+      "connectAllStreams": "Connecta tots els fluxos",
+      "reconnectionSuccess": "S'ha reconnectat correctament.",
+      "reconnectionPartial": "Alguns fluxos no s'han pogut tornar a connectar.",
+      "streamUnavailable": "La vista prèvia del flux no està disponible",
+      "reload": "Torna a carregar",
+      "connecting": "Connectant...",
+      "streamTitle": "Flux {{number}}",
+      "valid": "Vàlid",
+      "failed": "Ha fallat",
+      "notTested": "No provat",
+      "connectStream": "Connecta",
+      "connectingStream": "Connectant",
+      "disconnectStream": "Desconnecta",
+      "estimatedBandwidth": "Amplada de banda estimad",
+      "roles": "Rols",
+      "streamValidated": "El flux {{number}} s'ha validat correctament",
+      "streamValidationFailed": "Ha fallat la validació del flux {{number}}",
+      "ffmpegModule": "Usa el mode de compatibilitat del flux",
+      "ffmpegModuleDescription": "Si el flux no es carrega després de diversos intents, proveu d'activar-ho. Quan està activat, Frigate utilitzarà el mòdul ffmpeg amb go2rtc. Això pot proporcionar una millor compatibilitat amb alguns fluxos de càmera.",
+      "streamsTitle": "Fluxos de la càmera",
+      "addStream": "Afegeix un flux",
+      "addAnotherStream": "Afegeix un altre flux",
+      "streamUrl": "URL del flux",
+      "streamUrlPlaceholder": "rtsp://usuari:contrasenya@host:port/ruta",
+      "selectStream": "Selecciona un flux",
+      "searchCandidates": "Cerca candidats...",
+      "noStreamFound": "No s'ha trobat cap flux",
+      "url": "URL",
+      "resolution": "Resolució",
+      "selectResolution": "Selecciona la resolució",
+      "quality": "Qualitat",
+      "selectQuality": "Selecciona la qualitat",
+      "roleLabels": {
+        "detect": "Detecció d'objectes",
+        "record": "Enregistrament",
+        "audio": "Àudio"
+      },
+      "testStream": "Prova la connexió",
+      "testSuccess": "Prova de flux amb èxit!",
+      "testFailed": "Ha fallat la prova del flux",
+      "testFailedTitle": "Ha fallat la prova",
+      "connected": "Connectat",
+      "notConnected": "No connectat",
+      "featuresTitle": "Característiques",
+      "go2rtc": "Redueix les connexions a la càmera",
+      "detectRoleWarning": "Almenys un flux ha de tenir el rol de \"detecte\" per continuar.",
+      "rolesPopover": {
+        "title": "Roles de flux",
+        "detect": "Canal principal per a la detecció d'objectes.",
+        "record": "Desa els segments del canal de vídeo basats en la configuració.",
+        "audio": "Canal per a la detecció basada en àudio."
+      },
+      "featuresPopover": {
+        "title": "Característiques del flux",
+        "description": "Utilitzeu el restreaming go2rtc per reduir les connexions a la càmera."
+      }
+    },
+    "step4": {
+      "description": "Validació i anàlisi final abans de desar la nova càmera. Connecta cada flux abans de desar-lo.",
+      "validationTitle": "Validació del flux",
+      "connectAllStreams": "Connecta tots els fluxos",
+      "reconnectionSuccess": "S'ha reconnectat correctament.",
+      "reconnectionPartial": "Alguns fluxos no s'han pogut tornar a connecta.",
+      "streamUnavailable": "La vista prèvia del flux no està disponible",
+      "reload": "Torna a carregar",
+      "connecting": "S'està connectant...",
+      "streamTitle": "Flux {{number}}",
+      "valid": "Vàlid",
+      "failed": "Ha fallat",
+      "notTested": "No provat",
+      "connectStream": "Connecta",
+      "connectingStream": "Connectant",
+      "disconnectStream": "Desconnecta",
+      "estimatedBandwidth": "Amplada de banda estimada",
+      "roles": "Roles",
+      "ffmpegModule": "Usa el mode de compatibilitat del flux",
+      "ffmpegModuleDescription": "Si el flux no es carrega després de diversos intents, proveu d'activar-ho. Quan està activat, Frigate utilitzarà el mòdul ffmpeg amb go2rtc. Això pot proporcionar una millor compatibilitat amb alguns fluxos de càmera.",
+      "none": "Cap",
+      "error": "Error",
+      "streamValidated": "El flux {{number}} s'ha validat correctament",
+      "streamValidationFailed": "Ha fallat la validació del flux {{number}}",
+      "saveAndApply": "Desa una càmera nova",
+      "saveError": "Configuració no vàlida. Si us plau, comproveu la configuració.",
+      "issues": {
+        "title": "Validació del flux",
+        "videoCodecGood": "El còdec de vídeo és {{codec}}.",
+        "audioCodecGood": "El còdec d'àudio és {{codec}}.",
+        "resolutionHigh": "Una resolució de {{resolution}} pot causar un ús més gran dels recursos.",
+        "resolutionLow": "Una resolució de {{resolution}} pot ser massa baixa per a la detecció fiable d'objectes petits.",
+        "noAudioWarning": "No s'ha detectat cap àudio per a aquest flux, els enregistraments no tindran àudio.",
+        "audioCodecRecordError": "El còdec d'àudio AAC és necessari per a suportar l'àudio en els enregistraments.",
+        "audioCodecRequired": "Es requereix un flux d'àudio per admetre la detecció d'àudio.",
+        "restreamingWarning": "Reduir les connexions a la càmera per al flux de registre pot augmentar lleugerament l'ús de la CPU.",
+        "brands": {
+          "reolink-rtsp": "No és racomana utilitzar Reolink RSTP. Activeu HTTP a la configuració del microprogramari de la càmera i reinicieu l'assistent.",
+          "reolink-http": "Els fluxos HTTP de reenllaç haurien d'utilitzar FFmpeg per a una millor compatibilitat. Habilita «Utilitza el mode de compatibilitat del flux» per a aquest flux."
+        },
+        "dahua": {
+          "substreamWarning": "El substream 1 està bloquejat a una resolució baixa. Moltes càmeres Dahua / Amcrest / EmpireTech suporten subfluxos addicionals que han d'estar habilitats a la configuració de la càmera. Es recomana comprovar i utilitzar aquests corrents si estan disponibles."
+        },
+        "hikvision": {
+          "substreamWarning": "El substream 1 està bloquejat a una resolució baixa. Moltes càmeres Hikvision suporten subfluxos addicionals que han d'estar habilitats a la configuració de la càmera. Es recomana comprovar i utilitzar aquests corrents si estan disponibles."
+        }
+      }
+    }
+  },
+  "cameraManagement": {
+    "title": "Gestiona les càmeres",
+    "addCamera": "Afegeix una càmera nova",
+    "editCamera": "Edita la càmera:",
+    "selectCamera": "Selecciona una càmera",
+    "backToSettings": "Torna a la configuració de la càmera",
+    "streams": {
+      "title": "Habilita / Inhabilita les càmeres",
+      "desc": "Inhabilita temporalment una càmera fins que es reiniciï la fragata. La inhabilitació d'una càmera atura completament el processament de Frigate dels fluxos d'aquesta càmera. La detecció, l'enregistrament i la depuració no estaran disponibles.<br /> <em>Nota: això no desactiva les retransmissions de go2rtc.</em>"
+    },
+    "cameraConfig": {
+      "add": "Afegeix una càmera",
+      "edit": "Edita la càmera",
+      "description": "Configura la configuració de la càmera, incloses les entrades i els rols de flux.",
+      "name": "Nom de la càmera",
+      "nameRequired": "Es requereix el nom de la càmera",
+      "nameLength": "El nom de la càmera ha de tenir menys de 64 caràcters.",
+      "namePlaceholder": "p. ex., vista general de la porta davantera o de la barra posterior",
+      "enabled": "Habilitat",
+      "ffmpeg": {
+        "inputs": "Fluxos d'entrada",
+        "path": "Camí del flux",
+        "pathRequired": "Es requereix un camí de flux",
+        "pathPlaceholder": "rtsp://...",
+        "rolesRequired": "Es requereix almenys un rol",
+        "rolesUnique": "Cada rol (àudio, detecta, registra) només es pot assignar a un flux",
+        "addInput": "Afegeix un flux d'entrada",
+        "removeInput": "Elimina el flux d'entrada",
+        "inputsRequired": "Es requereix com a mínim un flux d'entrada",
+        "roles": "Rols"
+      },
+      "go2rtcStreams": "go2rtc Fluxos",
+      "streamUrls": "URL de flux",
+      "addUrl": "Afegeix un URL",
+      "addGo2rtcStream": "Afegeix go2rtc flux",
+      "toast": {
+        "success": "La càmera {{cameraName}} s'ha desat correctament"
+      }
+    }
+  },
+  "cameraReview": {
+    "object_descriptions": {
+      "title": "Descripcions d'objectes generadors d'IA",
+      "desc": "Activa/desactiva temporalment les descripcions d'objectes generatius d'IA per a aquesta càmera. Quan està desactivat, les descripcions generades per IA no se sol·licitaran per als objectes rastrejats en aquesta càmera."
+    },
+    "review_descriptions": {
+      "title": "Descripcions de la IA generativa",
+      "desc": "Activa/desactiva temporalment les descripcions de revisió de la IA generativa per a aquesta càmera. Quan està desactivat, les descripcions generades per IA no se sol·licitaran per als elements de revisió d'aquesta càmera."
+    },
+    "review": {
+      "title": "Revisió",
+      "desc": "Activa/desactiva temporalment les alertes i deteccions d'aquesta càmera fins que es reiniciï Frigate. Si està desactivat, no es generaran nous elements de revisió. ",
+      "alerts": "Alertes. ",
+      "detections": "Deteccions. "
+    },
+    "reviewClassification": {
+      "title": "Revisió de la classificació",
+      "desc": "Frigate categoritza els articles de revisió com Alertes i Deteccions. Per defecte, tots els objectes <em>persona</em> i <em>cotxe</em> es consideren Alertes. Podeu refinar la categorització dels elements de revisió configurant-los les zones requerides.",
+      "noDefinedZones": "No hi ha zones definides per a aquesta càmera.",
+      "selectAlertsZones": "Selecciona zones per a les alertes",
+      "selectDetectionsZones": "Selecció de zones per a les deteccions",
+      "limitDetections": "Limita les deteccions a zones específiques",
+      "toast": {
+        "success": "S'ha desat la configuració de la classificació de la revisió. Reinicia la fragata per aplicar canvis."
+      },
+      "unsavedChanges": "Paràmetres de classificació de revisions sense desar per {{camera}}",
+      "objectAlertsTips": "Totes els objectes {{alertsLabels}} de {{cameraName}} es mostraran com avisos.",
+      "zoneObjectAlertsTips": "Tots els objectes{{alertsLabels}} detectats en {{zone}} de {{cameraName}} es mostraran com a avisos.",
+      "objectDetectionsTips": "Tots els objectes {{detectionsLabels}} que no estiguin categoritzats de {{cameraName}} es mostraran com a Deteccions independentment de la zona on es trobin.",
+      "zoneObjectDetectionsTips": {
+        "text": "Tots els objectes {{detectionsLabels}} no categoritzats a {{zone}} de {{cameraName}} es mostraran com a Deteccions.",
+        "notSelectDetections": "Tots els objectes {{detectionsLabels}} detectats a {{zone}} de{{cameraName}} no categoritzats com a alertes es mostraran com a Deteccions independentment de la zona on es trobin.",
+        "regardlessOfZoneObjectDetectionsTips": "Tots els objectes {{detectionsLabels}} que no estiguin categoritzats de {{cameraName}} es mostraran com a Deteccions independentment de la zona on es trobin."
+      }
+    },
+    "title": "Paràmetres de Revisió de la Càmera"
   }
 }
diff --git a/web/public/locales/ca/views/system.json b/web/public/locales/ca/views/system.json
index 30f5257d1..312f3c299 100644
--- a/web/public/locales/ca/views/system.json
+++ b/web/public/locales/ca/views/system.json
@@ -76,12 +76,24 @@
         }
       },
       "npuUsage": "Ús de NPU",
-      "npuMemory": "Memòria de NPU"
+      "npuMemory": "Memòria de NPU",
+      "intelGpuWarning": {
+        "title": "Avís d'estadístiques de la GPU d'Intel",
+        "message": "Estadístiques de GPU no disponibles",
+        "description": "Aquest és un error conegut en les eines d'informació de les estadístiques de GPU d'Intel (intel.gpu.top) on es trencarà i retornarà repetidament un ús de GPU del 0% fins i tot en els casos en què l'acceleració del maquinari i la detecció d'objectes s'executen correctament a la (i)GPU. Això no és un error de fragata. Podeu reiniciar l'amfitrió per a corregir temporalment el problema i confirmar que la GPU funciona correctament. Això no afecta el rendiment."
+      }
     },
     "otherProcesses": {
       "title": "Altres processos",
       "processMemoryUsage": "Ús de memòria de procés",
-      "processCpuUsage": "Ús de la CPU del procés"
+      "processCpuUsage": "Ús de la CPU del procés",
+      "series": {
+        "recording": "gravant",
+        "review_segment": "segment de revisió",
+        "embeddings": "incrustacions",
+        "audio_detector": "detector d'àudio",
+        "go2rtc": "go2rtc"
+      }
     }
   },
   "storage": {
@@ -179,8 +191,18 @@
       "plate_recognition_speed": "Velocitat de reconeixement de matrícules",
       "text_embedding_speed": "Velocitat d'incrustació de text",
       "yolov9_plate_detection": "Detecció de matrícules YOLOv9",
-      "yolov9_plate_detection_speed": "Velocitat de detecció de matrícules YOLOv9"
+      "yolov9_plate_detection_speed": "Velocitat de detecció de matrícules YOLOv9",
+      "review_description": "Descripció de la revisió",
+      "review_description_speed": "Velocitat de la descripció de la revisió",
+      "review_description_events_per_second": "Descripció de la revisió",
+      "object_description": "Descripció de l'objecte",
+      "object_description_speed": "Velocitat de la descripció de l'objecte",
+      "object_description_events_per_second": "Descripció de l'objecte",
+      "classification": "{{name}} Classificació",
+      "classification_speed": "Velocitat de classificació de {{name}}",
+      "classification_events_per_second": "{{name}} Esdeveniments de classificació per segon"
     },
-    "infPerSecond": "Inferències per segon"
+    "infPerSecond": "Inferències per segon",
+    "averageInf": "Temps mitjà d'inferència"
   }
 }
diff --git a/web/public/locales/cs/components/auth.json b/web/public/locales/cs/components/auth.json
index a3dd01b32..00b0160cb 100644
--- a/web/public/locales/cs/components/auth.json
+++ b/web/public/locales/cs/components/auth.json
@@ -10,6 +10,7 @@
       "unknownError": "Neznámá chyba. Zkontrolujte logy.",
       "webUnknownError": "Neznámá chuba. Zkontrolujte logy konzoly.",
       "rateLimit": "Limit požadavků překročen. Zkuste to znovu později."
-    }
+    },
+    "firstTimeLogin": "Přihlašujete se poprvé? Přihlašovací údaje jsou vypsány v logu Frigate."
   }
 }
diff --git a/web/public/locales/cs/views/classificationModel.json b/web/public/locales/cs/views/classificationModel.json
new file mode 100644
index 000000000..f3713a255
--- /dev/null
+++ b/web/public/locales/cs/views/classificationModel.json
@@ -0,0 +1,47 @@
+{
+  "documentTitle": "Klasifikační modely - Frigate",
+  "button": {
+    "deleteClassificationAttempts": "Odstrániť Klasifikačné obrazy",
+    "renameCategory": "Přejmenovat třídu",
+    "deleteCategory": "Smazat třídu",
+    "deleteImages": "Smazat obrázek",
+    "trainModel": "Trénovat model",
+    "addClassification": "Přidat klasifikaci",
+    "deleteModels": "Smazat modely",
+    "editModel": "Upravit model"
+  },
+  "details": {
+    "scoreInfo": "Skóre predstavuje priemernú istotu klasifikácie naprieč detekciami tohoto objektu.",
+    "none": "Nic",
+    "unknown": "Neznámý"
+  },
+  "tooltip": {
+    "trainingInProgress": "Model se právě trénuje",
+    "noNewImages": "Žádné obrázky pro trénování. Nejdříve klasifikujte obrázky pro dataset.",
+    "noChanges": "Od posledního trénování nedošlo k žádné změně.",
+    "modelNotReady": "Model není připravený na trénování."
+  },
+  "toast": {
+    "success": {
+      "deletedImage": "Smazat obrázky",
+      "deletedModel_one": "Úspěšně odstraněný {{count}} model",
+      "deletedModel_few": "Úspěšně odstraněné {{count}} modely",
+      "deletedModel_other": "Úspěšně odstraněných {{count}} modelů",
+      "deletedCategory": "Smazat třídu",
+      "categorizedImage": "Obrázek úspěšně klasifikován",
+      "trainedModel": "Úspěšně vytrénovaný model.",
+      "trainingModel": "Trénování modelu bylo úspěšně zahájeno.",
+      "updatedModel": "Konfigurace modelu úspěšně aktualizována.",
+      "renamedCategory": "Třída úspěšně přejmenována na {{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "Chyba při mazání: {{errorMessage}}",
+      "deleteCategoryFailed": "Chyba při mazání třídy: {{errorMessage}}",
+      "deleteModelFailed": "Chyba při mazání modelu: {{errorMessage}}",
+      "categorizeFailed": "Chyba při mazání obrázku: {{errorMessage}}"
+    }
+  },
+  "train": {
+    "titleShort": "Nedávný"
+  }
+}
diff --git a/web/public/locales/cs/views/events.json b/web/public/locales/cs/views/events.json
index 34a00ce57..d05bd7cdc 100644
--- a/web/public/locales/cs/views/events.json
+++ b/web/public/locales/cs/views/events.json
@@ -36,5 +36,14 @@
   "selected_one": "{{count}} vybráno",
   "selected_other": "{{count}} vybráno",
   "suspiciousActivity": "Podezřelá aktivita",
-  "threateningActivity": "Ohrožující činnost"
+  "threateningActivity": "Ohrožující činnost",
+  "zoomIn": "Přiblížit",
+  "zoomOut": "Oddálit",
+  "detail": {
+    "label": "Detail",
+    "noDataFound": "Žádná detailní data k prohlédnutí",
+    "aria": "Přepnout detailní zobrazení",
+    "trackedObject_other": "{{count}} objektů",
+    "trackedObject_one": "{{count}} objektů"
+  }
 }
diff --git a/web/public/locales/cs/views/exports.json b/web/public/locales/cs/views/exports.json
index d27bf05e9..5fb25d638 100644
--- a/web/public/locales/cs/views/exports.json
+++ b/web/public/locales/cs/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "Nepodařilo se přejmenovat export: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Sdílet export",
+    "downloadVideo": "Stáhnout video",
+    "deleteExport": "Smazat export",
+    "editName": "Upravit jméno"
   }
 }
diff --git a/web/public/locales/cs/views/faceLibrary.json b/web/public/locales/cs/views/faceLibrary.json
index 8db564c37..cf4b1faea 100644
--- a/web/public/locales/cs/views/faceLibrary.json
+++ b/web/public/locales/cs/views/faceLibrary.json
@@ -36,12 +36,13 @@
     "desc": "Skutečně chcete vymazat kolekci {{name}}? Toto trvale vymaže všechny přiřazené obličeje."
   },
   "train": {
-    "title": "Trénovat",
+    "title": "Nedávná rozpoznání",
     "empty": "Nejsou zde žádné předchozí pokusy o rozpoznání obličeje",
-    "aria": "Vybrat trénink"
+    "aria": "Vybrat poslední rozpoznávání",
+    "titleShort": "Nedávný"
   },
   "description": {
-    "addFace": "Prúvodce přidání nové kolekce do Knižnice obličejů.",
+    "addFace": "Přidejte novou kolekci do Knihovny obličejů nahráním prvního obrázku.",
     "placeholder": "Zadejte název pro tuto kolekci",
     "invalidName": "Neplatný název. Názvy mohou obsahovat pouze písmena, čísla, mezery, apostrofy, podtržítka a pomlčky."
   },
@@ -76,7 +77,7 @@
       "deletedName_one": "{{count}} obličej byl úspěšně odstraněn.",
       "deletedName_few": "{{count}} tváře byly úspěšně odstraněny.",
       "deletedName_other": "{{count}} tváře byly úspěšně odstraněny.",
-      "updatedFaceScore": "Úspěšně aktualizováno skóre obličeje.",
+      "updatedFaceScore": "Úspěšně aktualizováno skóre obličeje na {{name}} ({{score}}).",
       "addFaceLibrary": "{{name}} byl(a) úspěšně přidán(a) do Knihovny obličejů!"
     },
     "error": {
diff --git a/web/public/locales/cs/views/search.json b/web/public/locales/cs/views/search.json
index e828a6716..2d699792c 100644
--- a/web/public/locales/cs/views/search.json
+++ b/web/public/locales/cs/views/search.json
@@ -26,7 +26,8 @@
       "min_score": "Minimální Skóre",
       "recognized_license_plate": "Rozpoznaná SPZ",
       "has_clip": "Má Klip",
-      "has_snapshot": "Má Snímek"
+      "has_snapshot": "Má Snímek",
+      "attributes": "Atributy"
     },
     "tips": {
       "desc": {
diff --git a/web/public/locales/cs/views/settings.json b/web/public/locales/cs/views/settings.json
index f4179763c..3875b8269 100644
--- a/web/public/locales/cs/views/settings.json
+++ b/web/public/locales/cs/views/settings.json
@@ -8,9 +8,11 @@
     "masksAndZones": "Editor masky a zón - Frigate",
     "motionTuner": "Ladění detekce pohybu - Frigate",
     "object": "Ladění - Frigate",
-    "general": "Obecné nastavení - Frigate",
+    "general": "Nastavení rozhraní - Frigate",
     "frigatePlus": "Frigate+ nastavení - Frigate",
-    "enrichments": "Nastavení obohacení - Frigate"
+    "enrichments": "Nastavení obohacení - Frigate",
+    "cameraManagement": "Správa kamer - Frigate",
+    "cameraReview": "Nastavení kontroly kamery - Frigate"
   },
   "frigatePlus": {
     "toast": {
@@ -304,7 +306,10 @@
     "notifications": "Notifikace",
     "frigateplus": "Frigate+",
     "enrichments": "Obohacení",
-    "triggers": "Spouštěče"
+    "triggers": "Spouštěče",
+    "cameraManagement": "Správa",
+    "cameraReview": "Kontrola",
+    "roles": "Role"
   },
   "dialog": {
     "unsavedChanges": {
@@ -845,7 +850,9 @@
         "createRole": "Role {{role}} byla úspěšně vytvořena",
         "updateCameras": "Kamery byly aktualizovány pro roli {{role}}",
         "deleteRole": "Role {{role}} byla úspěšně smazána",
-        "userRolesUpdated": "{{count}} uživatel(ů) přiřazených k této roli bylo aktualizováno na „Divák“, který má přístup ke všem kamerám."
+        "userRolesUpdated_one": "{{count}} uživatel(ů) přiřazených k této roli bylo aktualizováno na „Divák“, který má přístup ke všem kamerám.",
+        "userRolesUpdated_few": "",
+        "userRolesUpdated_other": ""
       },
       "error": {
         "createRoleFailed": "Nepodařilo se vytvořit roli: {{errorMessage}}",
diff --git a/web/public/locales/da/audio.json b/web/public/locales/da/audio.json
index bc4be50ee..81481336e 100644
--- a/web/public/locales/da/audio.json
+++ b/web/public/locales/da/audio.json
@@ -80,5 +80,9 @@
   "hammer": "Hammer",
   "drill": "Bore",
   "explosion": "Eksplosion",
-  "fireworks": "Nytårskrudt"
+  "fireworks": "Nytårskrudt",
+  "babbling": "Pludren",
+  "yell": "Råb",
+  "whoop": "Jubel",
+  "snicker": "Smålatter"
 }
diff --git a/web/public/locales/da/common.json b/web/public/locales/da/common.json
index 7625631c2..dbf6ff2d3 100644
--- a/web/public/locales/da/common.json
+++ b/web/public/locales/da/common.json
@@ -1,6 +1,6 @@
 {
   "time": {
-    "untilForTime": "Indtil{{time}}",
+    "untilForTime": "Indtil {{time}}",
     "untilForRestart": "Indtil Frigate genstarter.",
     "untilRestart": "Indtil genstart",
     "ago": "{{timeAgo}} siden",
diff --git a/web/public/locales/da/components/auth.json b/web/public/locales/da/components/auth.json
index 49b428fb8..ee1018299 100644
--- a/web/public/locales/da/components/auth.json
+++ b/web/public/locales/da/components/auth.json
@@ -7,7 +7,9 @@
       "usernameRequired": "Brugernavn kræves",
       "passwordRequired": "Kodeord kræves",
       "loginFailed": "Login fejlede",
-      "unknownError": "Ukendt fejl. Tjek logs."
-    }
+      "unknownError": "Ukendt fejl. Tjek logs.",
+      "rateLimit": "Grænsen for forespørgsler er overskredet. Prøv igen senere."
+    },
+    "firstTimeLogin": "Forsøger du at logge ind for første gang? Loginoplysningerne står i Frigate-loggene."
   }
 }
diff --git a/web/public/locales/da/components/camera.json b/web/public/locales/da/components/camera.json
index 5de77e997..769c6cc2a 100644
--- a/web/public/locales/da/components/camera.json
+++ b/web/public/locales/da/components/camera.json
@@ -11,7 +11,11 @@
       }
     },
     "name": {
-      "label": "Navn"
+      "label": "Navn",
+      "placeholder": "Indtast et navn…",
+      "errorMessage": {
+        "mustLeastCharacters": "Kameragruppens navn skal være mindst 2 tegn."
+      }
     }
   }
 }
diff --git a/web/public/locales/da/components/dialog.json b/web/public/locales/da/components/dialog.json
index 39e65d3b6..4d4a85174 100644
--- a/web/public/locales/da/components/dialog.json
+++ b/web/public/locales/da/components/dialog.json
@@ -3,7 +3,23 @@
     "title": "Er du sikker på at du vil genstarte Frigate?",
     "button": "Genstart",
     "restarting": {
-      "title": "Frigate genstarter"
+      "title": "Frigate genstarter",
+      "button": "Gennemtving genindlæsning nu",
+      "content": "Denne side genindlæses om {{countdown}} sekunder."
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Indsend til Frigate+",
+        "desc": "Objekter på steder, du ønsker at undgå, er ikke falske positiver. Hvis du indsender dem som falske positiver, vil det forvirre modellen."
+      },
+      "review": {
+        "question": {
+          "label": "Bekræft denne etiket til Frigate Plus",
+          "ask_a": "Er dette objekt et <code>{{label}}</code>?"
+        }
+      }
     }
   }
 }
diff --git a/web/public/locales/da/components/filter.json b/web/public/locales/da/components/filter.json
index 096374f16..3d16c1eb1 100644
--- a/web/public/locales/da/components/filter.json
+++ b/web/public/locales/da/components/filter.json
@@ -10,8 +10,41 @@
   },
   "labels": {
     "all": {
-      "short": "Labels"
+      "short": "Labels",
+      "title": "Alle etiketter"
     },
-    "count_one": "{{count}} Label"
+    "count_one": "{{count}} Label",
+    "label": "Etiketter"
+  },
+  "zones": {
+    "label": "Zoner",
+    "all": {
+      "title": "Alle zoner",
+      "short": "Zoner"
+    }
+  },
+  "more": "Flere filtre",
+  "sort": {
+    "label": "Sortér",
+    "dateAsc": "Dato (Stigende)",
+    "dateDesc": "Dato (Faldende)",
+    "speedAsc": "Anslået hastighed (Stigende)",
+    "speedDesc": "Anslået hastighed (Faldende)",
+    "relevance": "Relevans"
+  },
+  "dates": {
+    "selectPreset": "Vælg en forudindstilling…",
+    "all": {
+      "title": "Alle datoer",
+      "short": "Datoer"
+    }
+  },
+  "reset": {
+    "label": "Nulstille filtre til standardværdier"
+  },
+  "timeRange": "Tidsinterval",
+  "estimatedSpeed": "Anslået hastighed ({{unit}})",
+  "features": {
+    "hasVideoClip": "Har et videoklip"
   }
 }
diff --git a/web/public/locales/da/components/input.json b/web/public/locales/da/components/input.json
index 9d3f04a7f..0a8c89716 100644
--- a/web/public/locales/da/components/input.json
+++ b/web/public/locales/da/components/input.json
@@ -1,7 +1,10 @@
 {
   "button": {
     "downloadVideo": {
-      "label": "Download Video"
+      "label": "Download Video",
+      "toast": {
+        "success": "Din video til gennemgang er begyndt at blive downloadet."
+      }
     }
   }
 }
diff --git a/web/public/locales/da/components/player.json b/web/public/locales/da/components/player.json
index 0a4adcc0e..099369052 100644
--- a/web/public/locales/da/components/player.json
+++ b/web/public/locales/da/components/player.json
@@ -1,5 +1,15 @@
 {
-  "noRecordingsFoundForThisTime": "Ingen optagelser fundet i det angivet tidsrum",
+  "noRecordingsFoundForThisTime": "Ingen optagelser fundet i det angivne tidsrum",
   "noPreviewFound": "Ingen forhåndsvisning fundet",
-  "cameraDisabled": "Kamera er deaktiveret"
+  "cameraDisabled": "Kamera er deaktiveret",
+  "noPreviewFoundFor": "Ingen forhåndsvisning fundet for {{cameraName}}",
+  "submitFrigatePlus": {
+    "title": "Indsend denne frame til Frigate+?",
+    "submit": "Indsend"
+  },
+  "livePlayerRequiredIOSVersion": "iOS 17.1 eller nyere kræves for denne type livestream.",
+  "streamOffline": {
+    "title": "Stream offline",
+    "desc": "Der er ikke modtaget nogen frames på {{cameraName}}-<code>detect</code>-streamen, tjek fejlloggene."
+  }
 }
diff --git a/web/public/locales/da/views/classificationModel.json b/web/public/locales/da/views/classificationModel.json
new file mode 100644
index 000000000..a3aa81f28
--- /dev/null
+++ b/web/public/locales/da/views/classificationModel.json
@@ -0,0 +1,18 @@
+{
+  "documentTitle": "Klassifikationsmodeller",
+  "details": {
+    "scoreInfo": "Scoren repræsenterer den gennemsnitlige klassifikationssikkerhed på tværs af alle registreringer af dette objekt.",
+    "unknown": "Ukendt"
+  },
+  "description": {
+    "invalidName": "Ugyldigt navn. Navne må kun indeholde bogstaver, tal, mellemrum, apostroffer, understregninger og bindestreger."
+  },
+  "button": {
+    "deleteClassificationAttempts": "Slet klassifikationsbilleder",
+    "renameCategory": "Omdøb klasse",
+    "deleteCategory": "Slet klasse",
+    "deleteImages": "Slet billeder",
+    "trainModel": "Træn model",
+    "addClassification": "Tilføj klassifikation"
+  }
+}
diff --git a/web/public/locales/da/views/configEditor.json b/web/public/locales/da/views/configEditor.json
index 9d8a9a87f..ba1d6a715 100644
--- a/web/public/locales/da/views/configEditor.json
+++ b/web/public/locales/da/views/configEditor.json
@@ -2,5 +2,9 @@
   "documentTitle": "Konfigurationsstyring - Frigate",
   "copyConfig": "Kopiér konfiguration",
   "saveAndRestart": "Gem & Genstart",
-  "saveOnly": "Kun gem"
+  "saveOnly": "Kun gem",
+  "configEditor": "Konfigurationseditor",
+  "safeConfigEditor": "Konfigurationseditor (Sikker tilstand)",
+  "safeModeDescription": "Frigate er i sikker tilstand på grund af en fejl ved validering af konfigurationen.",
+  "confirm": "Afslut uden at gemme?"
 }
diff --git a/web/public/locales/da/views/events.json b/web/public/locales/da/views/events.json
index 9f065c38e..f59b2f356 100644
--- a/web/public/locales/da/views/events.json
+++ b/web/public/locales/da/views/events.json
@@ -7,5 +7,10 @@
   },
   "allCameras": "Alle kameraer",
   "timeline": "Tidslinje",
-  "camera": "Kamera"
+  "camera": "Kamera",
+  "empty": {
+    "alert": "Der er ingen advarsler at gennemgå",
+    "detection": "Der er ingen registreringer at gennemgå",
+    "motion": "Ingen bevægelsesdata fundet"
+  }
 }
diff --git a/web/public/locales/da/views/explore.json b/web/public/locales/da/views/explore.json
index ec8a805e8..afe962aea 100644
--- a/web/public/locales/da/views/explore.json
+++ b/web/public/locales/da/views/explore.json
@@ -13,7 +13,17 @@
   "exploreIsUnavailable": {
     "embeddingsReindexing": {
       "startingUp": "Starter…",
-      "estimatedTime": "Estimeret tid tilbage:"
-    }
+      "estimatedTime": "Estimeret tid tilbage:",
+      "context": "Udforsk kan bruges, når genindekseringen af de sporede objektindlejringer er fuldført.",
+      "finishingShortly": "Afsluttes om lidt",
+      "step": {
+        "thumbnailsEmbedded": "Miniaturer indlejret: "
+      }
+    },
+    "title": "Udforsk er ikke tilgængelig"
+  },
+  "exploreMore": "Udforsk flere {{label}}-objekter",
+  "details": {
+    "timestamp": "Tidsstempel"
   }
 }
diff --git a/web/public/locales/da/views/exports.json b/web/public/locales/da/views/exports.json
index ea9879a11..8c5f119c4 100644
--- a/web/public/locales/da/views/exports.json
+++ b/web/public/locales/da/views/exports.json
@@ -4,6 +4,9 @@
   "deleteExport.desc": "Er du sikker på at du vil slette {{exportName}}?",
   "editExport": {
     "title": "Omdøb Eksport",
-    "saveExport": "Gem Eksport"
-  }
+    "saveExport": "Gem Eksport",
+    "desc": "Indtast et nyt navn for denne eksport."
+  },
+  "noExports": "Ingen eksporter fundet",
+  "deleteExport": "Slet eksport"
 }
diff --git a/web/public/locales/da/views/faceLibrary.json b/web/public/locales/da/views/faceLibrary.json
index e826586f6..f309e6fa0 100644
--- a/web/public/locales/da/views/faceLibrary.json
+++ b/web/public/locales/da/views/faceLibrary.json
@@ -1,10 +1,19 @@
 {
   "selectItem": "Vælg {{item}}",
   "description": {
-    "addFace": "Gennemgang af tilføjelse til ansigts bibliotek",
-    "placeholder": "Angiv et navn for bibliotek"
+    "addFace": "Tilføj en ny samling til ansigtsbiblioteket ved at uploade dit første billede.",
+    "placeholder": "Angiv et navn for bibliotek",
+    "invalidName": "Ugyldigt navn. Navne må kun indeholde bogstaver, tal, mellemrum, apostroffer, understregninger og bindestreger."
   },
   "details": {
-    "person": "Person"
+    "person": "Person",
+    "timestamp": "Tidsstempel",
+    "unknown": "Ukendt",
+    "scoreInfo": "Scoren er et vægtet gennemsnit af alle ansigtsscorer, vægtet efter ansigtets størrelse på hvert billede."
+  },
+  "documentTitle": "Ansigtsbibliotek - Frigate",
+  "uploadFaceImage": {
+    "title": "Upload ansigtsbillede",
+    "desc": "Upload et billede for at scanne efter ansigter og inkludere det for {{pageToggle}}"
   }
 }
diff --git a/web/public/locales/da/views/live.json b/web/public/locales/da/views/live.json
index 73cf941c1..254539b38 100644
--- a/web/public/locales/da/views/live.json
+++ b/web/public/locales/da/views/live.json
@@ -8,5 +8,14 @@
   "cameraAudio": {
     "enable": "Aktivér kameralyd",
     "disable": "Deaktivér kamera lyd"
+  },
+  "lowBandwidthMode": "Lavbåndbredde-tilstand",
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Klik i billedrammen for at centrere kameraet",
+        "enable": "Aktivér klik for at flytte"
+      }
+    }
   }
 }
diff --git a/web/public/locales/da/views/recording.json b/web/public/locales/da/views/recording.json
index a78f4c793..4028727ac 100644
--- a/web/public/locales/da/views/recording.json
+++ b/web/public/locales/da/views/recording.json
@@ -5,7 +5,8 @@
   "filters": "Filtere",
   "toast": {
     "error": {
-      "endTimeMustAfterStartTime": "Sluttidspunkt skal være efter starttidspunkt"
+      "endTimeMustAfterStartTime": "Sluttidspunkt skal være efter starttidspunkt",
+      "noValidTimeSelected": "Intet gyldigt tidsinterval valgt"
     }
   }
 }
diff --git a/web/public/locales/da/views/search.json b/web/public/locales/da/views/search.json
index 5aea579ee..1cdc1460b 100644
--- a/web/public/locales/da/views/search.json
+++ b/web/public/locales/da/views/search.json
@@ -6,6 +6,7 @@
     "save": "Gem søgning",
     "delete": "Slet gemt søgning",
     "filterInformation": "Filter information",
-    "filterActive": "Filtre aktiv"
+    "filterActive": "Filtre aktiv",
+    "clear": "Ryd søgning"
   }
 }
diff --git a/web/public/locales/da/views/settings.json b/web/public/locales/da/views/settings.json
index 4563a1a76..61fce336f 100644
--- a/web/public/locales/da/views/settings.json
+++ b/web/public/locales/da/views/settings.json
@@ -3,6 +3,12 @@
     "default": "Indstillinger - Frigate",
     "authentication": "Bruger Indstillinger - Frigate",
     "camera": "Kamera indstillinger - Frigate",
-    "object": "Debug - Frigate"
+    "object": "Debug - Frigate",
+    "cameraManagement": "Administrér kameraer - Frigate",
+    "cameraReview": "Indstillinger for kameragennemgang - Frigate",
+    "enrichments": "Indstillinger for berigelser - Frigate",
+    "masksAndZones": "Maske- og zoneeditor - Frigate",
+    "motionTuner": "Bevægelsesjustering - Frigate",
+    "general": "Brugergrænsefladeindstillinger - Frigate"
   }
 }
diff --git a/web/public/locales/da/views/system.json b/web/public/locales/da/views/system.json
index 4fe2ea265..31d7ac946 100644
--- a/web/public/locales/da/views/system.json
+++ b/web/public/locales/da/views/system.json
@@ -6,7 +6,98 @@
       "frigate": "Frigate Logs - Frigate",
       "go2rtc": "Go2RTC Logs - Frigate",
       "nginx": "Nginx Logs - Frigate"
+    },
+    "general": "Generelle statistikker - Frigate",
+    "enrichments": "Beredningsstatistikker - Frigate"
+  },
+  "title": "System",
+  "logs": {
+    "copy": {
+      "label": "Kopier til udklipsholder",
+      "success": "Logs er kopieret til udklipsholder",
+      "error": "Kunne ikke kopiere logs til udklipsholder"
+    },
+    "type": {
+      "label": "Type",
+      "timestamp": "Tidsstempel",
+      "message": "Besked",
+      "tag": "Tag"
+    },
+    "tips": "Logs bliver streamet fra serveren",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Fejl ved indhentning af logs: {{errorMessage}}",
+        "whileStreamingLogs": "Fejl ved streaming af logs: {{errorMessage}}"
+      }
+    },
+    "download": {
+      "label": "Download logs"
     }
   },
-  "title": "System"
+  "general": {
+    "title": "Generelt",
+    "hardwareInfo": {
+      "gpuUsage": "GPU forbrug",
+      "gpuMemory": "GPU hukommelse",
+      "gpuEncoder": "GPU indkoder",
+      "gpuDecoder": "GPU afkoder",
+      "title": "Hardware information",
+      "gpuInfo": {
+        "closeInfo": {
+          "label": "Luk GPU information"
+        },
+        "copyInfo": {
+          "label": "Kopier GPU information"
+        },
+        "toast": {
+          "success": "Kopierede GPU information til udklipsholder"
+        }
+      },
+      "npuUsage": "NPU forbrug",
+      "npuMemory": "NPU hukommelse"
+    },
+    "detector": {
+      "title": "Detektorer",
+      "inferenceSpeed": "Detektorinferenshastighed",
+      "temperature": "Detektor temperatur",
+      "cpuUsage": "Detektor CPU forbrug",
+      "cpuUsageInformation": "CPU brugt til at forberede input- og outputdata til/fra detektionsmodeller. Denne værdi måler ikke inferensforbrug, selvom der bruges en GPU eller accelerator.",
+      "memoryUsage": "Detektorhummelsesforbrug"
+    },
+    "otherProcesses": {
+      "title": "Andre processer",
+      "processCpuUsage": "Proces CPU forbrug",
+      "processMemoryUsage": "Proceshukommelsesforbrug"
+    }
+  },
+  "metrics": "System metrikker",
+  "storage": {
+    "title": "Lagring",
+    "overview": "Overblik",
+    "recordings": {
+      "title": "Optagelser",
+      "tips": "Denne værdi repræsenterer den samlede lagerplads, der bruges af optagelserne i Frigates database. Frigate sporer ikke lagerpladsforbruget for alle filer på din disk.",
+      "earliestRecording": "Tidligste optagelse til rådighed:"
+    },
+    "shm": {
+      "title": "SHM (delt hukommelse) tildeling",
+      "warning": "Den nuværende SHM størrelse af {{total}}MB er for lille. Øg den til minimum {{min_shm}}MB."
+    },
+    "cameraStorage": {
+      "title": "Kamera lagring",
+      "camera": "Kamera",
+      "unusedStorageInformation": "Ubrugt lagringsinformation",
+      "storageUsed": "Lagring",
+      "percentageOfTotalUsed": "Procentandel af total",
+      "bandwidth": "Båndbredde",
+      "unused": {
+        "title": "Ubrugt",
+        "tips": "Denne værdi repræsenterer muligvis ikke nøjagtigt den ledige plads, der er tilgængelig for Frigate, hvis du har andre filer gemt på dit drev ud over Frigates optagelser. Frigate sporer ikke lagerforbrug ud over sine optagelser."
+      }
+    }
+  },
+  "cameras": {
+    "title": "Kameraer",
+    "overview": "Overblik"
+  }
 }
diff --git a/web/public/locales/de/audio.json b/web/public/locales/de/audio.json
index 0e0e50935..4b1877501 100644
--- a/web/public/locales/de/audio.json
+++ b/web/public/locales/de/audio.json
@@ -296,7 +296,7 @@
   "doorbell": "Türklingel",
   "ding-dong": "BimBam",
   "sliding_door": "Schiebetür",
-  "slam": "Knall",
+  "slam": "zuknallen",
   "knock": "Klopfen",
   "tap": "Schlag",
   "squeak": "Quietschen",
@@ -355,7 +355,7 @@
   "shatter": "Zerspringen",
   "silence": "Stille",
   "environmental_noise": "Umgebungsgeräusch",
-  "static": "Rauschen",
+  "static": "Statisch",
   "pink_noise": "Rosa Rauschen",
   "television": "Fernsehgerät",
   "radio": "Radio",
@@ -425,5 +425,79 @@
   "sanding": "Schleifen",
   "machine_gun": "Maschinengewehr",
   "boom": "Dröhnen",
-  "field_recording": "Außenaufnahme"
+  "field_recording": "Außenaufnahme",
+  "liquid": "Flüssigkeit",
+  "splash": "Spritzer",
+  "slosh": "Schwenken",
+  "squish": "Quetschen",
+  "drip": "Tropfen",
+  "pour": "Gießen",
+  "trickle": "Tröpfeln",
+  "fill": "Füllen",
+  "spray": "Sprühen",
+  "pump": "Pumpen",
+  "stir": "Umrühren",
+  "boiling": "Köchelnd",
+  "arrow": "Pfeil",
+  "electronic_tuner": "Elektronischer Tuner",
+  "effects_unit": "Effekteinheit",
+  "chorus_effect": "Chorus-Effekt",
+  "sodeling": "Verfilzen",
+  "chird": "Akkord",
+  "change_ringing": "Wechsle RingRing",
+  "shofar": "Schofar",
+  "gush": "sprudeln",
+  "sonar": "Sonar",
+  "whoosh": "Rauschen",
+  "thump": "Ruck",
+  "basketball_bounce": "Basketball Abbraller",
+  "bang": "Knall",
+  "slap": "Ohrfeige",
+  "whack": "verhauen",
+  "smash": "zerschlagen",
+  "breaking": "zerbrechen",
+  "bouncing": "Abbraller",
+  "whip": "Peitsche",
+  "flap": "Lasche",
+  "scratch": "Kratzer",
+  "scrape": "Abfall",
+  "rub": "scheuern",
+  "roll": "rollen",
+  "crushing": "Stauchen",
+  "crumpling": "zerknüllen",
+  "tearing": "Reißen",
+  "beep": "Piep",
+  "ping": "Ping",
+  "ding": "klingeln",
+  "thunk": "dumpfes Geräusch",
+  "clang": "Geklirr",
+  "squeal": "Ausruf",
+  "creak": "Knarren",
+  "rustle": "Geknister",
+  "whir": "schwirren",
+  "clatter": "Geratter",
+  "sizzle": "brutzeln",
+  "clicking": "Klicken",
+  "clickety_clack": "Klappergeräuschen",
+  "rumble": "Grollen",
+  "plop": "plumpsen",
+  "hum": "Brummen",
+  "zing": "Schwung",
+  "boing": "ferderndes Geräusch",
+  "crunch": "knirschendes",
+  "sine_wave": "Sinus Kurve",
+  "harmonic": "harmonisch",
+  "chirp_tone": "Frequenzwobbelung",
+  "pulse": "Takt",
+  "inside": "drinnen",
+  "outside": "draußen",
+  "reverberation": "Widerhall",
+  "echo": "Echo",
+  "noise": "Lärm",
+  "mains_hum": "Netzbrummen",
+  "distortion": "Verzerrung",
+  "sidetone": "Nebengeräusch",
+  "cacophony": "Dissonanz",
+  "throbbing": "Pochen",
+  "vibration": "Vibration"
 }
diff --git a/web/public/locales/de/common.json b/web/public/locales/de/common.json
index 2d20c7f0c..a9d13566e 100644
--- a/web/public/locales/de/common.json
+++ b/web/public/locales/de/common.json
@@ -12,7 +12,7 @@
     "24hours": "24 Stunden",
     "month_one": "{{time}} Monat",
     "month_other": "{{time}} Monate",
-    "d": "{{time}} Tag",
+    "d": "{{time}} Tg.",
     "day_one": "{{time}} Tag",
     "day_other": "{{time}} Tage",
     "m": "{{time}} Min",
@@ -37,12 +37,12 @@
     "30minutes": "30 Minuten",
     "1hour": "1 Stunde",
     "lastWeek": "Letzte Woche",
-    "h": "{{time}} Stunde",
+    "h": "{{time}} Std.",
     "ago": "vor {{timeAgo}}",
     "untilRestart": "Bis zum Neustart",
     "justNow": "Gerade",
     "pm": "nachmittags",
-    "mo": "{{time}}Monat",
+    "mo": "{{time}} Mon.",
     "formattedTimestamp": {
       "12hour": "d. MMM, hh:mm:ss aaa",
       "24hour": "dd. MMM, hh:mm:ss aaa"
@@ -81,7 +81,10 @@
     "formattedTimestampMonthDayYear": {
       "12hour": "d. MMM yyyy",
       "24hour": "d. MMM yyyy"
-    }
+    },
+    "inProgress": "Im Gange",
+    "invalidStartTime": "Ungültige Startzeit",
+    "invalidEndTime": "Ungültige Endzeit"
   },
   "button": {
     "save": "Speichern",
@@ -118,10 +121,17 @@
     "pictureInPicture": "Bild in Bild",
     "on": "AN",
     "suspended": "Pausierte",
-    "unsuspended": "fortsetzen"
+    "unsuspended": "fortsetzen",
+    "continue": "Weiter"
   },
   "label": {
-    "back": "Zurück"
+    "back": "Zurück",
+    "hide": "Verstecke {{item}}",
+    "show": "Zeige {{item}}",
+    "ID": "ID",
+    "none": "Nichts",
+    "all": "Alle",
+    "other": "andere"
   },
   "menu": {
     "configurationEditor": "Konfigurationseditor",
@@ -222,7 +232,8 @@
       "logout": "Abmelden"
     },
     "uiPlayground": "Testgebiet für Benutzeroberfläche",
-    "export": "Exportieren"
+    "export": "Exportieren",
+    "classification": "Klassifizierung"
   },
   "unit": {
     "speed": {
@@ -232,6 +243,14 @@
     "length": {
       "feet": "Fuß",
       "meters": "Meter"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/Stunde",
+      "mbph": "MB/Stunde",
+      "gbph": "GB/Stunde"
     }
   },
   "toast": {
@@ -273,5 +292,17 @@
     "desc": "Du hast keine Berechtigung diese Seite anzuzeigen.",
     "documentTitle": "Zugang verweigert - Frigate",
     "title": "Zugang verweigert"
+  },
+  "information": {
+    "pixels": "{{area}}px"
+  },
+  "field": {
+    "optional": "Optional",
+    "internalID": "Die interne ID, die Frigate in der Konfiguration und Datenbank verwendet"
+  },
+  "list": {
+    "two": "{{0}} und {{1}}",
+    "many": "{{items}}, und {{last}}",
+    "separatorWithSpace": ", "
   }
 }
diff --git a/web/public/locales/de/components/auth.json b/web/public/locales/de/components/auth.json
index 8cbd1ff8c..2c4886641 100644
--- a/web/public/locales/de/components/auth.json
+++ b/web/public/locales/de/components/auth.json
@@ -10,6 +10,7 @@
       "unknownError": "Unbekannter Fehler. Prüfe Logs."
     },
     "user": "Benutzername",
-    "password": "Kennwort"
+    "password": "Kennwort",
+    "firstTimeLogin": "Ist dies der erste Loginversuch? Die Zugangsdaten werden in den Frigate Logs angezeigt."
   }
 }
diff --git a/web/public/locales/de/components/dialog.json b/web/public/locales/de/components/dialog.json
index 578f02773..464db5adf 100644
--- a/web/public/locales/de/components/dialog.json
+++ b/web/public/locales/de/components/dialog.json
@@ -66,7 +66,8 @@
         "failed": "Fehler beim Starten des Exports: {{error}}",
         "noVaildTimeSelected": "Kein gültiger Zeitraum ausgewählt"
       },
-      "success": "Export erfolgreich gestartet. Die Datei befindet sich im Ordner /exports."
+      "success": "Export erfolgreich gestartet. Die Datei befindet sich auf der Exportseite.",
+      "view": "Ansicht"
     },
     "fromTimeline": {
       "saveExport": "Export speichern",
@@ -117,7 +118,8 @@
     "button": {
       "export": "Exportieren",
       "markAsReviewed": "Als geprüft markieren",
-      "deleteNow": "Jetzt löschen"
+      "deleteNow": "Jetzt löschen",
+      "markAsUnreviewed": "Als ungeprüft markieren"
     }
   },
   "imagePicker": {
@@ -125,6 +127,7 @@
     "search": {
       "placeholder": "Nach Label oder Unterlabel suchen..."
     },
-    "noImages": "Kein Vorschaubild für diese Kamera gefunden"
+    "noImages": "Kein Vorschaubild für diese Kamera gefunden",
+    "unknownLabel": "Gespeichertes Triggerbild"
   }
 }
diff --git a/web/public/locales/de/components/filter.json b/web/public/locales/de/components/filter.json
index 193877603..d593080cd 100644
--- a/web/public/locales/de/components/filter.json
+++ b/web/public/locales/de/components/filter.json
@@ -132,5 +132,9 @@
     },
     "count_one": "{{count}} Klasse",
     "count_other": "{{count}} Klassen"
+  },
+  "attributes": {
+    "label": "Klassifizierungsattribute",
+    "all": "Alle Attribute"
   }
 }
diff --git a/web/public/locales/de/components/player.json b/web/public/locales/de/components/player.json
index a6b251f01..56a195053 100644
--- a/web/public/locales/de/components/player.json
+++ b/web/public/locales/de/components/player.json
@@ -24,7 +24,7 @@
       "title": "Latenz:",
       "value": "{{seconds}} Sekunden",
       "short": {
-        "title": "Lazenz",
+        "title": "Latenz",
         "value": "{{seconds}} s"
       }
     },
diff --git a/web/public/locales/de/objects.json b/web/public/locales/de/objects.json
index 57fb35617..f3fdbd370 100644
--- a/web/public/locales/de/objects.json
+++ b/web/public/locales/de/objects.json
@@ -27,7 +27,7 @@
   "donut": "Donut",
   "cake": "Kuchen",
   "chair": "Stuhl",
-  "couch": "Couch",
+  "couch": "Sofa",
   "bed": "Bett",
   "dining_table": "Esstisch",
   "toilet": "Toilette",
diff --git a/web/public/locales/de/views/classificationModel.json b/web/public/locales/de/views/classificationModel.json
new file mode 100644
index 000000000..2de77e73e
--- /dev/null
+++ b/web/public/locales/de/views/classificationModel.json
@@ -0,0 +1,188 @@
+{
+  "documentTitle": "Klassifikationsmodelle - Frigate",
+  "details": {
+    "scoreInfo": "Die Punktzahl gibt die durchschnittliche Konfidenz aller Erkennungen dieses Objekts wieder.",
+    "none": "Keiner",
+    "unknown": "Unbekannt"
+  },
+  "button": {
+    "deleteClassificationAttempts": "Lösche klassifizierte Bilder",
+    "renameCategory": "Klasse umbenennen",
+    "deleteCategory": "Klasse löschen",
+    "deleteImages": "Bilder löschen",
+    "trainModel": "Modell trainieren",
+    "addClassification": "Klassifikationsmodell hinzufügen",
+    "deleteModels": "Modell löschen",
+    "editModel": "Modell bearbeiten"
+  },
+  "tooltip": {
+    "trainingInProgress": "Modell wird gerade trainiert",
+    "noNewImages": "Keine weiteren Bilder zum trainieren. Bitte klassifiziere weitere Bilder im Datensatz.",
+    "noChanges": "Keine Veränderungen des Datensatzes seit dem letzten Training.",
+    "modelNotReady": "Modell ist nicht bereit für das Training"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Klasse gelöscht",
+      "deletedImage": "Bilder gelöscht",
+      "deletedModel_one": "{{count}} Modell erfolgreich gelöscht",
+      "deletedModel_other": "{{count}} Modelle erfolgreich gelöscht",
+      "categorizedImage": "Erfolgreich klassifizierte Bilder",
+      "trainedModel": "Modell erfolgreich trainiert.",
+      "trainingModel": "Modelltraining erfolgreich gestartet.",
+      "updatedModel": "Modellkonfiguration erfolgreich aktualisiert",
+      "renamedCategory": "Klasse erfolgreich in {{name}} umbenannt"
+    },
+    "error": {
+      "deleteImageFailed": "Löschen fehlgeschlagen: {{errorMessage}}",
+      "deleteCategoryFailed": "Löschen der Klasse fehlgeschlagen: {{errorMessage}}",
+      "deleteModelFailed": "Model konnte nicht gelöscht werden: {{errorMessage}}",
+      "trainingFailedToStart": "Modelltraining konnte nicht gestartet werden: {{errorMessage}}",
+      "updateModelFailed": "Aktualisierung des Modells fehlgeschlagen: {{errorMessage}}",
+      "renameCategoryFailed": "Umbenennung der Klasse fehlgeschlagen: {{errorMessage}}",
+      "categorizeFailed": "Bildkategorisierung fehlgeschlagen: {{errorMessage}}",
+      "trainingFailed": "Modelltraining fehlgeschlagen. Details sind in den Frigate-Protokollen zu finden."
+    }
+  },
+  "deleteCategory": {
+    "title": "Klasse löschen",
+    "desc": "Möchten Sie die Klasse {{name}} wirklich löschen? Dadurch werden alle zugehörigen Bilder dauerhaft gelöscht und das Modell muss neu trainiert werden.",
+    "minClassesTitle": "Klasse kann nicht gelöscht werden",
+    "minClassesDesc": "Ein Klassifizierungsmodell benötigt mindestens zwei Klassen. Fügen Sie eine weitere Klasse hinzu, bevor Sie diese löschen."
+  },
+  "deleteModel": {
+    "title": "Klassifizierungsmodell löschen",
+    "single": "Möchten Sie {{name}} wirklich löschen? Dadurch werden alle zugehörigen Daten, einschließlich Bilder und Trainingsdaten, dauerhaft gelöscht. Diese Aktion kann nicht rückgängig gemacht werden.",
+    "desc_one": "Möchtest du {{count}} Modell wirklich löschen? Dadurch werden alle zugehörigen Daten, einschließlich Bilder und Trainingsdaten, dauerhaft gelöscht. Diese Aktion kann nicht rückgängig gemacht werden.",
+    "desc_other": "Möchtest du {{count}} Modelle wirklich löschen? Dadurch werden alle zugehörigen Daten, einschließlich Bilder und Trainingsdaten, dauerhaft gelöscht. Diese Aktion kann nicht rückgängig gemacht werden."
+  },
+  "edit": {
+    "title": "Klassifikationsmodell bearbeiten",
+    "descriptionState": "Bearbeite die Klassen für dieses Zustandsklassifikationsmodell. Änderungen erfordern ein erneutes Trainieren des Modells.",
+    "descriptionObject": "Bearbeite den Objekttyp und Klassifizierungstyp für dieses Objektklassifikationsmodell.",
+    "stateClassesInfo": "Hinweis: Die Änderung der Statusklassen erfordert ein erneutes Trainieren des Modells mit den aktualisierten Klassen."
+  },
+  "deleteDatasetImages": {
+    "title": "Datensatz Bilder löschen",
+    "desc_one": "Bist du sicher, dass {{count}} Bild von {{dataset}} gelöscht werden sollen? Diese Aktion kann nicht rückgängig gemacht werden und erfordert ein erneutes Trainieren des Modells.",
+    "desc_other": "Bist du sicher, dass {{count}} Bilder von {{dataset}} gelöscht werden sollen? Diese Aktion kann nicht rückgängig gemacht werden und erfordert ein erneutes Trainieren des Modells."
+  },
+  "deleteTrainImages": {
+    "title": "Trainingsbilder löschen",
+    "desc_one": "Bist du sicher, dass du {{count}} Bild löschen möchten? Diese Aktion kann nicht rückgängig gemacht werden.",
+    "desc_other": "Bist du sicher, dass du {{count}} Bilder löschen möchten? Diese Aktion kann nicht rückgängig gemacht werden."
+  },
+  "renameCategory": {
+    "title": "Klasse umbenennen",
+    "desc": "Neuen Namen für {{name}} eingeben. Das Modell muss neu trainiert werden, damit die Änderungen wirksam werden."
+  },
+  "description": {
+    "invalidName": "Ungültiger Name. Namen dürfen nur Buchstaben, Zahlen, Leerzeichen, Apostrophe, Unterstriche und Bindestriche enthalten."
+  },
+  "train": {
+    "title": "Neue Klassifizierungen",
+    "titleShort": "frisch",
+    "aria": "Neue Klassifizierungen auswählen"
+  },
+  "categories": "Klassen",
+  "createCategory": {
+    "new": "Neue Klasse erstellen"
+  },
+  "categorizeImageAs": "Bild klassifizieren als:",
+  "categorizeImage": "Bild klassifizieren",
+  "menu": {
+    "objects": "Objekte",
+    "states": "Zustände"
+  },
+  "noModels": {
+    "object": {
+      "title": "Keine Objektklassifikationsmodelle",
+      "description": "Erstelle ein benutzerdefiniertes Objektklassifikationsmodell, um erkannte Objekte zu klassifizieren.",
+      "buttonText": "Objektklassifikationsmodell erstellen"
+    },
+    "state": {
+      "title": "Keine Zustandsklassifikationsmodelle",
+      "description": "Erstellen Sie ein benutzerdefiniertes Zustandsklassifikationsmodell, um Zustandsänderungen in bestimmten Kamerabereichen zu überwachen und zu klassifizieren.",
+      "buttonText": "Zustandsklassifikationsmodell erstellen"
+    }
+  },
+  "wizard": {
+    "title": "Neues Klassifikationsmodell erstellen",
+    "steps": {
+      "nameAndDefine": "Benennen und definieren",
+      "stateArea": "Überwachungsbereich",
+      "chooseExamples": "Beispiel auswählen"
+    },
+    "step1": {
+      "description": "Zustandsmodelle überwachen fest definierte Kamerabereiche auf Veränderungen (z. B. Tür offen/geschlossen). Objektmodelle klassifizieren erkannte Objekte genauer (z. B. in bekannte Tiere, Lieferanten usw.).",
+      "name": "Name",
+      "namePlaceholder": "Modellname eingeben ...",
+      "type": "Typ",
+      "typeState": "Zustand",
+      "typeObject": "Objekt",
+      "objectLabel": "Objektbezeichnung",
+      "objectLabelPlaceholder": "Auswahl Objekt Typ...",
+      "classificationType": "Klassifizierungstyp",
+      "classificationTypeTip": "Etwas über Klassifizierungstyp lernen",
+      "classificationTypeDesc": "Unterbezeichnungen fügen dem Objektnamen zusätzlichen Text hinzu (z. B. „Person: UPS“). Attribute sind durchsuchbare Metadaten, die separat in den Objektmetadaten gespeichert sind.",
+      "classificationSubLabel": "Unterlabel",
+      "classificationAttribute": "Attribut",
+      "classes": "Klassen",
+      "states": "Zustände",
+      "classesTip": "Mehr über Klassen erfahren",
+      "classesStateDesc": "Definieren Sie die verschiedenen Zustände, in denen sich Ihr Kamerabereich befinden kann. Beispiel: „offen” und „geschlossen” für ein Garagentor.",
+      "classesObjectDesc": "Definieren Sie die verschiedenen Kategorien, in die erkannte Objekte klassifiziert werden sollen. Beispiel: „Lieferant“, „Bewohner“, „Fremder“ für die Klassifizierung von Personen.",
+      "classPlaceholder": "Klassenbezeichnung eingeben...",
+      "errors": {
+        "nameRequired": "Der Modellname ist erforderlich",
+        "nameLength": "Der Modellname darf maximal 64 Zeichen lang sein",
+        "nameOnlyNumbers": "Der Modellname darf nicht nur aus Zahlen bestehen",
+        "classRequired": "Mindestens eine Klasse ist erforderlich",
+        "classesUnique": "Der Klassenname muss eindeutig sein",
+        "stateRequiresTwoClasses": "Zustandsmodelle erfordern mindestens zwei Klassen",
+        "objectLabelRequired": "Bitte wähle eine Objektbeschriftung",
+        "objectTypeRequired": "Bitte wählen Sie einen Klassifizierungstyp aus",
+        "noneNotAllowed": "Die Klasse „none“ ist nicht zulässig"
+      }
+    },
+    "step2": {
+      "description": "Wählen Sie Kameras aus und legen Sie für jede Kamera den zu überwachenden Bereich fest. Das Modell klassifiziert den Zustand dieser Bereiche.",
+      "cameras": "Kameras",
+      "selectCamera": "Kamera auswählen",
+      "noCameras": "Klicke + zum Hinzufügen von Kameras",
+      "selectCameraPrompt": "Wählen Sie eine Kamera aus der Liste aus, um ihren Überwachungsbereich festzulegen"
+    },
+    "step3": {
+      "selectImagesPrompt": "Wählen Sie alle Bilder mit: {{className}}",
+      "selectImagesDescription": "Klicken Sie auf die Bilder, um sie auszuwählen. Klicken Sie auf „Weiter“, wenn Sie mit dieser Klasse fertig sind.",
+      "allImagesRequired_one": "Bitte klassifizieren Sie alle Bilder. {{count}} Bild verbleibend.",
+      "allImagesRequired_other": "Bitte klassifizieren Sie alle Bilder. {{count}} Bilder verbleiben.",
+      "generating": {
+        "title": "Beispielbilder generieren",
+        "description": "Frigate extrahiert repräsentative Bilder aus Ihren Aufnahmen. Dies kann einen Moment dauern..."
+      },
+      "training": {
+        "title": "Trainiere Modell",
+        "description": "Ihr Modell wird im Hintergrund trainiert. Schließen Sie diesen Dialog, und Ihr Modell wird ausgeführt, sobald das Training abgeschlossen ist."
+      },
+      "retryGenerate": "Generierung wiederholen",
+      "noImages": "Keine Bilder generiert",
+      "classifying": "Klassifizieren und Trainieren...",
+      "trainingStarted": "Training wurde erfolgreich gestartet",
+      "errors": {
+        "noCameras": "Keine Kameras konfiguriert",
+        "noObjectLabel": "Kein Objektlabel ausgewählt",
+        "generateFailed": "Beispiele konnten nicht generiert werden: {{error}}",
+        "generationFailed": "Generierung fehlgeschlagen. Bitte versuchen Sie es erneut.",
+        "classifyFailed": "Bilder konnten nicht klassifiziert werden: {{error}}"
+      },
+      "generateSuccess": "Erfolgreich generierte Beispielbilder",
+      "modelCreated": "Modell erfolgreich erstellt. Verwenden Sie die Ansicht „Aktuelle Klassifizierungen“, um Bilder für fehlende Zustände hinzuzufügen und trainieren Sie dann das Modell erneut.",
+      "missingStatesWarning": {
+        "title": "Beispiele für fehlende Zustände",
+        "description": "Es wird empfohlen für alle Zustände Beispiele auszuwählen. Das Modell wird erst trainiert, wenn für alle Zustände Bilder vorhanden sind. Fahren Sie fort und verwenden Sie die Ansicht „Aktuelle Klassifizierungen“, um Bilder für die fehlenden Zustände zu klassifizieren. Trainieren Sie anschließend das Modell."
+      }
+    }
+  },
+  "none": "Keiner"
+}
diff --git a/web/public/locales/de/views/events.json b/web/public/locales/de/views/events.json
index e9bdcf4ff..963482073 100644
--- a/web/public/locales/de/views/events.json
+++ b/web/public/locales/de/views/events.json
@@ -8,7 +8,11 @@
   "empty": {
     "alert": "Es gibt keine zu prüfenden Alarme",
     "detection": "Es gibt keine zu prüfenden Erkennungen",
-    "motion": "Keine Bewegungsdaten gefunden"
+    "motion": "Keine Bewegungsdaten gefunden",
+    "recordingsDisabled": {
+      "title": "Aufzeichnungen müssen aktiviert sein",
+      "description": "Überprüfungselemente können nur für eine Kamera erstellt werden, wenn Aufzeichnungen für diese Kamera aktiviert sind."
+    }
   },
   "timeline": "Zeitleiste",
   "timeline.aria": "Zeitleiste auswählen",
@@ -36,5 +40,28 @@
   "selected_other": "{{count}} ausgewählt",
   "detected": "erkannt",
   "suspiciousActivity": "Verdächtige Aktivität",
-  "threateningActivity": "Bedrohliche Aktivität"
+  "threateningActivity": "Bedrohliche Aktivität",
+  "zoomIn": "Hereinzoomen",
+  "zoomOut": "Herauszoomen",
+  "detail": {
+    "label": "Detail",
+    "aria": "Detailansicht umschalten",
+    "trackedObject_one": "{{count}} Objekt",
+    "trackedObject_other": "{{count}} Objekte",
+    "noObjectDetailData": "Keine detaillierten Daten des Objekt verfügbar.",
+    "noDataFound": "Keine Detaildaten zur Überprüfung",
+    "settings": "Detailansicht Einstellungen",
+    "alwaysExpandActive": {
+      "desc": "Immer die Objektdetails vom aktivem Überprüfungselement erweitern, sofern verfügbar.",
+      "title": "Immer aktiv erweitern"
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Verfolgter Punkt",
+    "clickToSeek": "Klicke, um zu dieser Zeit zu springen"
+  },
+  "normalActivity": "normal",
+  "needsReview": "benötigt Überprüfung",
+  "securityConcern": "Sicherheitsbedenken",
+  "select_all": "alle"
 }
diff --git a/web/public/locales/de/views/explore.json b/web/public/locales/de/views/explore.json
index 96d64e167..273c568a2 100644
--- a/web/public/locales/de/views/explore.json
+++ b/web/public/locales/de/views/explore.json
@@ -18,13 +18,15 @@
           "updatedSublabel": "Unterkategorie erfolgreich aktualisiert.",
           "updatedLPR": "Nummernschild erfolgreich aktualisiert.",
           "regenerate": "Eine neue Beschreibung wurde von {{provider}} angefordert. Je nach Geschwindigkeit des Anbieters kann es einige Zeit dauern, bis die neue Beschreibung generiert ist.",
-          "audioTranscription": "Audio Transkription erfolgreich angefordert."
+          "audioTranscription": "Die Audio-Transkription wurde erfolgreich angefordert. Je nach Geschwindigkeit Ihres Frigate-Servers kann die Transkription einige Zeit in Anspruch nehmen.",
+          "updatedAttributes": "Attribute erfolgreich aktualisiert."
         },
         "error": {
           "regenerate": "Der Aufruf von {{provider}} für eine neue Beschreibung ist fehlgeschlagen: {{errorMessage}}",
           "updatedSublabelFailed": "Untekategorie konnte nicht aktualisiert werden: {{errorMessage}}",
           "updatedLPRFailed": "Aktualisierung des Kennzeichens fehlgeschlagen: {{errorMessage}}",
-          "audioTranscription": "Die Anforderung der Audio Transkription ist fehlgeschlagen: {{errorMessage}}"
+          "audioTranscription": "Die Anforderung der Audio Transkription ist fehlgeschlagen: {{errorMessage}}",
+          "updatedAttributesFailed": "Attribute konnten nicht aktualisiert werden: {{errorMessage}}"
         }
       }
     },
@@ -72,6 +74,14 @@
     },
     "score": {
       "label": "Ergebnis"
+    },
+    "editAttributes": {
+      "title": "Attribute bearbeiten",
+      "desc": "Wählen Sie Klassifizierungsattribute für dieses {{label}} aus"
+    },
+    "attributes": "Klassifizierungsattribute",
+    "title": {
+      "label": "Titel"
     }
   },
   "documentTitle": "Erkunde - Frigate",
@@ -158,7 +168,9 @@
     "details": "Details",
     "video": "Video",
     "object_lifecycle": "Objekt-Lebenszyklus",
-    "snapshot": "Snapshot"
+    "snapshot": "Snapshot",
+    "thumbnail": "Vorschaubild",
+    "tracking_details": "Nachverfolgungs-Details"
   },
   "itemMenu": {
     "downloadSnapshot": {
@@ -195,12 +207,26 @@
     "addTrigger": {
       "aria": "Einen Trigger für dieses verfolgte Objekt hinzufügen",
       "label": "Trigger hinzufügen"
+    },
+    "viewTrackingDetails": {
+      "label": "Details zum Verfolgen anzeigen",
+      "aria": "Details zum Verfolgen anzeigen"
+    },
+    "showObjectDetails": {
+      "label": "Objektpfad anzeigen"
+    },
+    "hideObjectDetails": {
+      "label": "Objektpfad verbergen"
+    },
+    "downloadCleanSnapshot": {
+      "label": "Bereinigte Momentaufnahme herunterladen",
+      "aria": "Bereinigte Momentaufnahme herunterladen"
     }
   },
   "dialog": {
     "confirmDelete": {
       "title": "Löschen bestätigen",
-      "desc": "Beim Löschen dieses verfolgten Objekts werden der Schnappschuss, alle gespeicherten Einbettungen und alle zugehörigen Objektlebenszykluseinträge entfernt. Aufgezeichnetes Filmmaterial dieses verfolgten Objekts in der Verlaufsansicht wird <em>NICHT</em> gelöscht. <br /><br />Sind Sie sicher, dass Sie fortfahren möchten?"
+      "desc": "Beim Löschen dieses verfolgten Objekts werden der Schnappschuss, alle gespeicherten Einbettungen und alle zugehörigen Verfolgungsdetails entfernt. Aufgezeichnetes Filmmaterial dieses verfolgten Objekts in der Verlaufsansicht wird <em>NICHT</em> gelöscht. <br /><br />Sind Sie sicher, dass Sie fortfahren möchten?"
     }
   },
   "searchResult": {
@@ -210,7 +236,9 @@
         "error": "Das verfolgte Objekt konnte nicht gelöscht werden: {{errorMessage}}"
       }
     },
-    "tooltip": "Entspricht {{type}} bei {{confidence}}%"
+    "tooltip": "Entspricht {{type}} bei {{confidence}}%",
+    "previousTrackedObject": "Vorheriges verfolgtes Objekt",
+    "nextTrackedObject": "Nächstes verfolgtes Objekt"
   },
   "noTrackedObjects": "Keine verfolgten Objekte gefunden",
   "fetchingTrackedObjectsFailed": "Fehler beim Abrufen von verfolgten Objekten: {{errorMessage}}",
@@ -222,5 +250,54 @@
   },
   "concerns": {
     "label": "Bedenken"
+  },
+  "trackingDetails": {
+    "noImageFound": "Kein Bild mit diesem Zeitstempel gefunden.",
+    "createObjectMask": "Objekt-Maske erstellen",
+    "scrollViewTips": "Klicke, um die relevanten Momente aus dem Lebenszyklus dieses Objektes zu sehen.",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} erkannt",
+      "entered_zone": "{{label}} betrat {{zones}}",
+      "active": "{{label}} wurde aktiv",
+      "stationary": "{{label}} wurde stationär",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} erkannt für {{label}}",
+        "other": "{{label}} erkannt als {{attribute}}"
+      },
+      "gone": "{{label}} hat sich entfernt",
+      "heard": "{{label}} wurde gehört",
+      "external": "{{label}} erkannt",
+      "header": {
+        "zones": "Zonen",
+        "ratio": "Verhältnis",
+        "area": "Bereich",
+        "score": "Bewertung"
+      }
+    },
+    "annotationSettings": {
+      "title": "Anmerkungseinstellungen",
+      "showAllZones": {
+        "title": "Zeige alle Zonen",
+        "desc": "Immer Zonen auf Rahmen anzeigen, in die Objekte eingetreten sind."
+      },
+      "offset": {
+        "label": "Anmerkungen Versatz",
+        "desc": "Diese Daten stammen aus dem Erkennungsfeed der Kamera, werden jedoch über Bilder aus dem Aufzeichnungsfeed gelegt. Es ist unwahrscheinlich, dass beide Streams perfekt synchron sind. Daher stimmen der Begrenzungsrahmen und das Filmmaterial nicht vollständig überein. Mit dieser Einstellung lassen sich die Anmerkungen zeitlich nach vorne oder hinten verschieben, um sie besser an das aufgezeichnete Filmmaterial anzupassen.",
+        "millisecondsToOffset": "Millisekunden, um Erkennungs-Anmerkungen zu verschieben. <em>Standard: 0</em>",
+        "tips": "Verringere den Wert, wenn die Videowiedergabe den Boxen und Wegpunkten voraus ist, und erhöhe den Wert, wenn die Videowiedergabe hinter ihnen zurückbleibt. Dieser Wert kann negativ sein.",
+        "toast": {
+          "success": "Der Anmerkungs-Offset für {{camera}} wurde in der Konfigurationsdatei gespeichert."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Vorherige Anzeige",
+      "next": "Nächste Anzeige"
+    },
+    "title": "Verfolgungsdetails",
+    "adjustAnnotationSettings": "Anmerkungseinstellungen anpassen",
+    "autoTrackingTips": "Die Positionen der Begrenzungsrahmen sind bei Kameras mit automatischer Verfolgung ungenau.",
+    "count": "{{first}} von {{second}}",
+    "trackedPoint": "Verfolgter Punkt"
   }
 }
diff --git a/web/public/locales/de/views/exports.json b/web/public/locales/de/views/exports.json
index 2fb729cc2..c3bae1239 100644
--- a/web/public/locales/de/views/exports.json
+++ b/web/public/locales/de/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "Umbenennen des Exports fehlgeschlagen: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Export teilen",
+    "downloadVideo": "Video herunterladen",
+    "editName": "Name ändern",
+    "deleteExport": "Export löschen"
   }
 }
diff --git a/web/public/locales/de/views/faceLibrary.json b/web/public/locales/de/views/faceLibrary.json
index cda458b65..1c96176e5 100644
--- a/web/public/locales/de/views/faceLibrary.json
+++ b/web/public/locales/de/views/faceLibrary.json
@@ -1,7 +1,7 @@
 {
   "description": {
     "placeholder": "Gib einen Name für diese Kollektion ein",
-    "addFace": "Anleitung für das Hinzufügen einer neuen Kollektion zur Gesichtsbibliothek.",
+    "addFace": "Füge der Gesichtsbibliothek eine neue Sammlung hinzu, indem du ein Bild hochlädst.",
     "invalidName": "Ungültiger Name. Namen dürfen nur Buchstaben, Zahlen, Leerzeichen, Apostrophe, Unterstriche und Bindestriche enthalten."
   },
   "details": {
@@ -22,14 +22,14 @@
     "title": "Kollektion erstellen",
     "new": "Lege ein neues Gesicht an",
     "desc": "Erstelle eine neue Kollektion",
-    "nextSteps": "Um eine solide Grundlage zu bilden: <li> Benutze den Trainieren Tab, um Bilder für jede erkannte Person auszuwählen und zu trainieren.</li> <li>Konzentriere dich für gute Ergebnisse auf Frontalfotos; vermeide Bilder zu Trainingszwecken, bei denen Gesichter aus einem Winkel erfasst wurden.</li></ul>"
+    "nextSteps": "Um eine solide Grundlage zu bilden: <li> Benutze den \"Aktuelle Erkennungen\" Tab, um Bilder für jede erkannte Person auszuwählen und zu trainieren.</li> <li>Konzentriere dich für gute Ergebnisse auf Frontalfotos; vermeide Bilder zu Trainingszwecken, bei denen Gesichter aus einem Winkel erfasst wurden.</li></ul>"
   },
   "documentTitle": "Gesichtsbibliothek - Frigate",
   "selectItem": "Wähle {{item}}",
   "selectFace": "Wähle Gesicht",
   "imageEntry": {
     "dropActive": "Ziehe das Bild hierher…",
-    "dropInstructions": "Ziehe ein Bild hier her oder klicke um eines auszuwählen",
+    "dropInstructions": "Ziehe ein Bild hier her, füge es ein oder klicke um eines auszuwählen",
     "maxSize": "Maximale Größe: {{size}} MB",
     "validation": {
       "selectImage": "Bitte wähle ein Bild aus."
@@ -44,9 +44,10 @@
     "deleteFace": "Lösche Gesicht"
   },
   "train": {
-    "title": "Trainiere",
-    "aria": "Wähle Training",
-    "empty": "Es gibt keine aktuellen Versuche zur Gesichtserkennung"
+    "title": "Neueste Erkennungen",
+    "aria": "Wähle aktuelle Erkennungen",
+    "empty": "Es gibt keine aktuellen Versuche zur Gesichtserkennung",
+    "titleShort": "frisch"
   },
   "deleteFaceLibrary": {
     "title": "Lösche Name",
@@ -64,7 +65,7 @@
       "deletedName_other": "{{count}} Gesichter wurden erfolgreich gelöscht.",
       "addFaceLibrary": "{{name}} wurde erfolgreich in die Gesichtsbibliothek aufgenommen!",
       "trainedFace": "Gesicht erfolgreich trainiert.",
-      "updatedFaceScore": "Gesichtsbewertung erfolgreich aktualisiert.",
+      "updatedFaceScore": "Gesichtsbewertung erfolgreich auf {{name}} ({{score}}) aktualisiert.",
       "renamedFace": "Gesicht erfolgreich in {{name}} umbenannt"
     },
     "error": {
diff --git a/web/public/locales/de/views/live.json b/web/public/locales/de/views/live.json
index fea1cabd8..e0bf9955e 100644
--- a/web/public/locales/de/views/live.json
+++ b/web/public/locales/de/views/live.json
@@ -30,16 +30,16 @@
     },
     "zoom": {
       "in": {
-        "label": "PTZ-Kamera vergrößern"
+        "label": "PTZ-Kamera rein zoomen"
       },
       "out": {
-        "label": "PTZ-Kamera herauszoomen"
+        "label": "PTZ-Kamera heraus zoomen"
       }
     },
-    "presets": "PTZ-Kameravoreinstellungen",
+    "presets": "PTZ-Kamera Voreinstellungen",
     "frame": {
       "center": {
-        "label": "Klicken Sie in den Rahmen, um die PTZ-Kamera zu zentrieren"
+        "label": "Klicke in den Rahmen, um die PTZ-Kamera zu zentrieren"
       }
     },
     "focus": {
@@ -62,8 +62,8 @@
     "enable": "Aufzeichnung aktivieren"
   },
   "snapshots": {
-    "enable": "Snapshots aktivieren",
-    "disable": "Snapshots deaktivieren"
+    "enable": "Schnappschüsse aktivieren",
+    "disable": "Schnappschüsse deaktivieren"
   },
   "autotracking": {
     "disable": "Autotracking deaktivieren",
@@ -74,7 +74,7 @@
     "disable": "Stream-Statistiken ausblenden"
   },
   "manualRecording": {
-    "title": "On-Demand Aufzeichnung",
+    "title": "On-Demand",
     "showStats": {
       "label": "Statistiken anzeigen",
       "desc": "Aktivieren Sie diese Option, um Stream-Statistiken als Overlay über dem Kamera-Feed anzuzeigen."
@@ -88,7 +88,7 @@
       "desc": "Aktivieren Sie diese Option, um das Streaming fortzusetzen, wenn der Player ausgeblendet ist.",
       "label": "Im Hintergrund abspielen"
     },
-    "tips": "Starten Sie ein manuelles Ereignis basierend auf den Aufzeichnung Aufbewahrungseinstellungen dieser Kamera.",
+    "tips": "Lade einen Sofort-Schnappschuss herunter oder starte ein manuelles Ereignis basierend auf den Aufbewahrungseinstellungen für Aufzeichnungen dieser Kamera.",
     "debugView": "Debug-Ansicht",
     "start": "On-Demand Aufzeichnung starten",
     "failedToEnd": "Die manuelle On-Demand Aufzeichnung konnte nicht beendet werden."
@@ -118,6 +118,9 @@
     "playInBackground": {
       "tips": "Aktivieren Sie diese Option, um das Streaming fortzusetzen, wenn der Player ausgeblendet ist.",
       "label": "Im Hintergrund abspielen"
+    },
+    "debug": {
+      "picker": "Stream Auswahl nicht verfügbar im Debug Modus. Die Debug Ansicht nutzt immer den Stream, welcher der Rolle zugewiesen ist."
     }
   },
   "effectiveRetainMode": {
@@ -167,5 +170,20 @@
   "transcription": {
     "enable": "Live Audio Transkription einschalten",
     "disable": "Live Audio Transkription ausschalten"
+  },
+  "noCameras": {
+    "title": "Keine Kameras konfiguriert",
+    "description": "Beginne indem du eine Kamera anschließt.",
+    "buttonText": "Kamera hinzufügen",
+    "restricted": {
+      "title": "Keine Kamera verfügbar",
+      "description": "Sie haben keine Berechtigung, Kameras in dieser Gruppe anzuzeigen."
+    }
+  },
+  "snapshot": {
+    "takeSnapshot": "Sofort-Schnappschuss herunterladen",
+    "noVideoSource": "Keine Video-Quelle für Schnappschuss verfügbar.",
+    "captureFailed": "Die Aufnahme des Schnappschusses ist fehlgeschlagen.",
+    "downloadStarted": "Schnappschuss Download gestartet."
   }
 }
diff --git a/web/public/locales/de/views/search.json b/web/public/locales/de/views/search.json
index 5729716d8..0b6424f42 100644
--- a/web/public/locales/de/views/search.json
+++ b/web/public/locales/de/views/search.json
@@ -25,7 +25,8 @@
       "max_speed": "Maximalgeschwindigkeit",
       "time_range": "Zeitraum",
       "labels": "Labels",
-      "sub_labels": "Unterlabels"
+      "sub_labels": "Unterlabels",
+      "attributes": "Attribute"
     },
     "toast": {
       "error": {
diff --git a/web/public/locales/de/views/settings.json b/web/public/locales/de/views/settings.json
index 80902106f..4f10f2f51 100644
--- a/web/public/locales/de/views/settings.json
+++ b/web/public/locales/de/views/settings.json
@@ -3,14 +3,16 @@
     "default": "Einstellungen - Frigate",
     "authentication": "Authentifizierungseinstellungen – Frigate",
     "camera": "Kameraeinstellungen - Frigate",
-    "masksAndZones": "Masken- und Zonen-Editor – Frigate",
+    "masksAndZones": "Masken- und Zoneneditor – Frigate",
     "object": "Debug - Frigate",
-    "general": "Allgemeine Einstellungen – Frigate",
+    "general": "UI-Einstellungen - Frigate",
     "frigatePlus": "Frigate+ Einstellungen – Frigate",
     "classification": "Klassifizierungseinstellungen – Frigate",
     "motionTuner": "Bewegungserkennungs-Optimierer – Frigate",
-    "notifications": "Benachrichtigungs-Einstellungen",
-    "enrichments": "Erweiterte Statistiken - Frigate"
+    "notifications": "Benachrichtigungseinstellungen",
+    "enrichments": "Erweiterte Statistiken - Frigate",
+    "cameraManagement": "Kameras verwalten - Frigate",
+    "cameraReview": "Kameraeinstellungen prüfen - Frigate"
   },
   "menu": {
     "ui": "Benutzeroberfläche",
@@ -23,7 +25,10 @@
     "users": "Benutzer",
     "notifications": "Benachrichtigungen",
     "enrichments": "Erkennungsfunktionen",
-    "triggers": "Auslöser"
+    "triggers": "Auslöser",
+    "roles": "Rollen",
+    "cameraManagement": "Verwaltung",
+    "cameraReview": "Überprüfung"
   },
   "dialog": {
     "unsavedChanges": {
@@ -36,7 +41,7 @@
     "noCamera": "Keine Kamera"
   },
   "general": {
-    "title": "Allgemeine Einstellungen",
+    "title": "Einstellungen der Benutzeroberfläche",
     "liveDashboard": {
       "title": "Live Übersicht",
       "playAlertVideos": {
@@ -44,8 +49,16 @@
         "desc": "Standardmäßig werden die letzten Warnmeldungen auf dem Live-Dashboard als kurze Videoschleifen abgespielt. Deaktiviere diese Option, um nur ein statisches Bild der letzten Warnungen auf diesem Gerät/Browser anzuzeigen."
       },
       "automaticLiveView": {
-        "desc": "Wechsle automatisch zur Live Ansicht der Kamera, wenn einen Aktivität erkannt wurde. Wenn du diese Option deaktivierst, werden die statischen Kamerabilder auf der Liveübersicht nur einmal pro Minute aktualisiert.",
+        "desc": "Zeigt automatisch das Live-Bild einer Kamera an, wenn eine Aktivität erkannt wird. Ist diese Option deaktiviert, werden Kamerabilder im Live-Dashboard nur einmal pro Minute aktualisiert.",
         "label": "Automatische Live Ansicht"
+      },
+      "displayCameraNames": {
+        "label": "Immer Namen der Kamera anzeigen",
+        "desc": "Kamerabezeichnung immer im einem Chip im Live-View-Dashboard für mehrere Kameras anzeigen."
+      },
+      "liveFallbackTimeout": {
+        "label": "Live Player Ausfallzeitlimit",
+        "desc": "Wenn der hochwertige Live-Stream einer Kamera nicht verfügbar ist, wechsle nach dieser Anzahl von Sekunden in den Modus für geringe Bandbreite. Standard: 3."
       }
     },
     "storedLayouts": {
@@ -69,7 +82,7 @@
       "title": "Kalender",
       "firstWeekday": {
         "label": "Erster Wochentag",
-        "desc": "Der Tag, an dem die Wochen des Review Kalenders beginnen.",
+        "desc": "Der Tag, an dem die Wochen des Überprüfungs-Kalenders beginnen.",
         "sunday": "Sonntag",
         "monday": "Montag"
       }
@@ -227,7 +240,8 @@
           "alreadyExists": "Für diese Kamera existiert bereits eine Zone mit diesem Namen.",
           "mustBeAtLeastTwoCharacters": "Der Zonenname muss aus mindestens 2 Zeichen bestehen.",
           "mustNotBeSameWithCamera": "Der Zonenname darf nicht mit dem Kameranamen identisch sein.",
-          "mustNotContainPeriod": "Der Zonenname darf keine Punkte enthalten."
+          "mustNotContainPeriod": "Der Zonenname darf keine Punkte enthalten.",
+          "mustHaveAtLeastOneLetter": "Der Name der Zone muss mindestens einen Buchstaben enthalten."
         }
       },
       "loiteringTime": {
@@ -284,7 +298,7 @@
     "zones": {
       "edit": "Zone bearbeiten",
       "toast": {
-        "success": "Die Zone ({{zoneName}}) wurde gespeichert. Starten Sie Frigate neu, um die Änderungen zu übernehmen."
+        "success": "Die Zone ({{zoneName}}) wurde gespeichert."
       },
       "desc": {
         "documentation": "Dokumentation",
@@ -306,7 +320,7 @@
       "name": {
         "title": "Name",
         "inputPlaceHolder": "Geben Sie einen Namen ein…",
-        "tips": "Der Name muss aus mindestens 2 Zeichen bestehen und sollte nicht den Namen einer Kamera oder anderen Zone entsprechen."
+        "tips": "Die Bezeichnung muss mindestens 2 Zeichen lang sein, mindestens einen Buchstaben enthalten und darf nicht die Bezeichnung einer Kamera oder einer anderen Zone sein."
       },
       "objects": {
         "title": "Objekte",
@@ -347,8 +361,8 @@
       "clickDrawPolygon": "Klicke, um ein Polygon auf dem Bild zu zeichnen.",
       "toast": {
         "success": {
-          "noName": "Bewegungsmaske wurde gespeichert. Starte Frigate neu, um die Änderungen zu übernehmen.",
-          "title": "{{polygonName}} wurde gespeichert. Starte Frigate neu, um die Änderungen zu übernehmen."
+          "noName": "Bewegungsmaske wurde gespeichert.",
+          "title": "{{polygonName}} wurde gespeichert."
         }
       },
       "add": "Neue Bewegungsmaske",
@@ -368,8 +382,8 @@
       "documentTitle": "Objektmaske bearbeiten – Frigate",
       "toast": {
         "success": {
-          "noName": "Objektmaske wurde gespeichert. Starte Frigate neu, um die Änderungen zu übernehmen.",
-          "title": "{{polygonName}} wurde gespeichert. Starte Frigate neu, um die Änderungen zu übernehmen."
+          "noName": "Objektmaske wurde gespeichert.",
+          "title": "{{polygonName}} wurde gespeichert."
         }
       },
       "desc": {
@@ -476,7 +490,7 @@
   },
   "users": {
     "addUser": "Benutzer hinzufügen",
-    "updatePassword": "Passwort aktualisieren",
+    "updatePassword": "Passwort zurücksetzen",
     "toast": {
       "success": {
         "deleteUser": "Benutzer {{user}} wurde erfolgreich gelöscht",
@@ -500,7 +514,7 @@
       "changeRole": "Benutzerrolle ändern",
       "deleteUser": "Benutzer löschen",
       "noUsers": "Keine Benutzer gefunden.",
-      "password": "Passwort",
+      "password": "Passwort zurücksetzen",
       "username": "Benutzername",
       "actions": "Aktionen",
       "role": "Rolle"
@@ -527,7 +541,16 @@
           },
           "match": "Passwörter stimmen überein",
           "title": "Passwort",
-          "placeholder": "Passwort eingeben"
+          "placeholder": "Passwort eingeben",
+          "requirements": {
+            "title": "Passwort Anforderungen:",
+            "length": "Mindestens 8 Zeichen",
+            "uppercase": "Mindestens ein Großbuchstabe",
+            "digit": "Mindestens eine Ziffer",
+            "special": "Mindestens ein Sonderzeichen (!@#$%^&*(),.?\":{}|<>)"
+          },
+          "show": "Passwort anzeigen",
+          "hide": "Verberge Passwort"
         },
         "newPassword": {
           "title": "Neues Passwort",
@@ -537,7 +560,11 @@
           }
         },
         "usernameIsRequired": "Benutzername ist erforderlich",
-        "passwordIsRequired": "Passwort benötigt"
+        "passwordIsRequired": "Passwort benötigt",
+        "currentPassword": {
+          "title": "Aktuelles Passwort",
+          "placeholder": "Gib Dein aktuelles Passwort ein"
+        }
       },
       "changeRole": {
         "desc": "Berechtigungen für <strong>{{username}}</strong> aktualisieren",
@@ -568,7 +595,12 @@
         "setPassword": "Passwort festlegen",
         "desc": "Erstelle ein sicheres Passwort, um dieses Konto zu schützen.",
         "cannotBeEmpty": "Das Passwort darf nicht leer sein",
-        "doNotMatch": "Die Passwörter sind nicht identisch"
+        "doNotMatch": "Die Passwörter sind nicht identisch",
+        "currentPasswordRequired": "Aktuelles Passwort wird benötigt",
+        "incorrectCurrentPassword": "Aktuelles Passwort ist falsch",
+        "passwordVerificationFailed": "Passwort konnte nicht überprüft werden",
+        "multiDeviceWarning": "Alle anderen Geräte, auf denen Sie angemeldet sind, müssen sich innerhalb von {{refresh_time}} erneut anmelden.",
+        "multiDeviceAdmin": "Sie können auch alle Benutzer dazu zwingen, sich sofort erneut zu authentifizieren, indem Sie Ihr JWT-Geheimnis ändern."
       }
     }
   },
@@ -673,21 +705,21 @@
   },
   "enrichments": {
     "birdClassification": {
-      "title": "Vogel Klassifizierung",
-      "desc": "Die Vogelklassifizierung identifiziert bekannte Vögel mithilfe eines quantisierten Tensorflow-Modells. Wenn ein bekannter Vogel erkannt wird, wird sein allgemeiner Name als sub_label hinzugefügt. Diese Informationen sind in der Benutzeroberfläche, in Filtern und in Benachrichtigungen enthalten."
+      "title": "Vogelerkennung",
+      "desc": "Die Vogelerkennung identifiziert Vögelarten mithilfe eines quantisierten Tensorflowmodells. Wenn eine Vogelart erkannt wird, wird ihr Name als sub_label hinzugefügt. Diese Informationen sind in der Benutzeroberfläche, in Filtern und in Benachrichtigungen enthalten."
     },
     "title": "Anreicherungseinstellungen",
     "unsavedChanges": "Ungesicherte geänderte Verbesserungseinstellungen",
     "semanticSearch": {
       "reindexNow": {
         "confirmDesc": "Sind Sie sicher, dass Sie alle verfolgten Objekteinbettungen neu indizieren wollen? Dieser Prozess läuft im Hintergrund, kann aber Ihre CPU auslasten und eine gewisse Zeit in Anspruch nehmen. Sie können den Fortschritt auf der Seite Explore verfolgen.",
-        "label": "Jetzt neu indizien",
+        "label": "Jetzt neu indizieren",
         "desc": "Bei der Neuindizierung werden die Einbettungen für alle verfolgten Objekte neu generiert. Dieser Prozess läuft im Hintergrund und kann je nach Anzahl der verfolgten Objekte Ihre CPU auslasten und eine gewisse Zeit in Anspruch nehmen.",
-        "confirmTitle": "Neuinszenierung bestätigen",
+        "confirmTitle": "Neuindizierung bestätigen",
         "confirmButton": "Neuindizierung",
         "success": "Die Neuindizierung wurde erfolgreich gestartet.",
         "alreadyInProgress": "Die Neuindizierung ist bereits im Gange.",
-        "error": "Neuindizierung konnte nicht gestartet werden: {{errorMessage}}"
+        "error": "Die Neuindizierung konnte nicht gestartet werden: {{errorMessage}}"
       },
       "modelSize": {
         "small": {
@@ -698,7 +730,7 @@
         "desc": "Die Größe des für die Einbettung der semantischen Suche verwendeten Modells.",
         "large": {
           "title": "groß",
-          "desc": "Bei der Verwendung von <em>groß</em> wird das gesamte Jina-Modell verwendet und automatisch auf der GPU ausgeführt, falls zutreffend."
+          "desc": "Bei der Verwendung von <em>groß</em> wird das gesamte Jina-Modell verwendet und automatisch auf der GPU ausgeführt, falls möglich."
         }
       },
       "title": "Semantische Suche",
@@ -707,10 +739,10 @@
     },
     "faceRecognition": {
       "title": "Gesichtserkennung",
-      "desc": "Die Gesichtserkennung ermöglicht es, Personen Namen zuzuweisen, und wenn ihr Gesicht erkannt wird, ordnet Frigate den Namen der Person als Untertitel zu. Diese Informationen sind in der Benutzeroberfläche, den Filtern und in den Benachrichtigungen enthalten.",
+      "desc": "Die Gesichtserkennung ermöglicht es, Personen Namen zuzuweisen. Wenn ein Gesicht erkannt wird, ordnet Frigate den Namen der Person als Untertitel zu. Diese Informationen sind in der Benutzeroberfläche, den Filtern und in den Benachrichtigungen enthalten.",
       "readTheDocumentation": "Lies die Dokumentation",
       "modelSize": {
-        "label": "Modell Größe",
+        "label": "Modellgröße",
         "desc": "Die Größe des für die Gesichtserkennung verwendeten Modells.",
         "small": {
           "title": "klein",
@@ -736,7 +768,7 @@
   "triggers": {
     "documentTitle": "Auslöser",
     "management": {
-      "title": "Auslöser Verwaltung",
+      "title": "Auslöser",
       "desc": "Auslöser für {{camera}} verwalten. Verwenden Sie den Vorschaubild Typ, um ähnliche Vorschaubilder wie das ausgewählte verfolgte Objekt auszulösen, und den Beschreibungstyp, um ähnliche Beschreibungen wie den von Ihnen angegebenen Text auszulösen."
     },
     "addTrigger": "Auslöser hinzufügen",
@@ -757,7 +789,9 @@
     },
     "actions": {
       "alert": "Als Alarm markieren",
-      "notification": "Benachrichtigung senden"
+      "notification": "Benachrichtigung senden",
+      "sub_label": "Unterlabel hinzufügen",
+      "attribute": "Attribut hinzufügen"
     },
     "dialog": {
       "createTrigger": {
@@ -775,25 +809,28 @@
       "form": {
         "name": {
           "title": "Name",
-          "placeholder": "Auslöser Name eingeben",
+          "placeholder": "Benennen Sie diesen Auslöser",
           "error": {
             "minLength": "Der Name muss mindestens 2 Zeichen lang sein.",
             "invalidCharacters": "Der Name darf nur Buchstaben, Zahlen, Unterstriche und Bindestriche enthalten.",
             "alreadyExists": "Ein Auslöser mit diesem Namen existiert bereits für diese Kamera."
-          }
+          },
+          "description": "Geben Sie einen eindeutigen Namen oder eine Beschreibung ein, um diesen Auslöser zu identifizieren"
         },
         "enabled": {
           "description": "Diesen Auslöser aktivieren oder deaktivieren"
         },
         "type": {
           "title": "Typ",
-          "placeholder": "Auslöser Typ wählen"
+          "placeholder": "Auslöser Typ wählen",
+          "description": "Auslösen, wenn eine ähnliche Beschreibung eines verfolgten Objekts erkannt wird",
+          "thumbnail": "Auslösen, wenn eine ähnliche Miniaturansicht eines verfolgten Objekts erkannt wird"
         },
         "content": {
           "title": "Inhalt",
-          "imagePlaceholder": "Ein Bild auswählen",
+          "imagePlaceholder": "Miniaturansicht auswählen",
           "textPlaceholder": "Inhaltstext eingeben",
-          "imageDesc": "Ein Bild auswählen, um diese Aktion auszulösen, wenn ein ähnliches Bild erkannt wird.",
+          "imageDesc": "Es werden nur die letzten 100 Miniaturansichten angezeigt. Wenn Sie die gewünschte Miniaturansicht nicht finden können, überprüfen Sie bitte frühere Objekte in „Explore“ und richten Sie dort über das Menü einen Trigger ein.",
           "textDesc": "Einen Text eingeben, um diese Aktion auszulösen, wenn eine ähnliche Beschreibung eines verfolgten Objekts erkannt wird.",
           "error": {
             "required": "Inhalt ist erforderlich."
@@ -804,14 +841,20 @@
           "error": {
             "min": "Schwellenwert muss mindestens 0 sein",
             "max": "Schwellenwert darf höchstens 1 sein"
-          }
+          },
+          "desc": "Legen Sie den Ähnlichkeitsschwellenwert für diesen Trigger fest. Ein höherer Schwellenwert bedeutet, dass eine größere Übereinstimmung erforderlich ist, um den Trigger auszulösen."
         },
         "actions": {
           "title": "Aktionen",
-          "desc": "Standardmäßig sendet Frigate eine MQTT-Nachricht für alle Trigger. Wähle eine zusätzliche Aktion aus, die ausgeführt werden soll, wenn dieser Trigger ausgelöst wird.",
+          "desc": "Standardmäßig sendet Frigate für alle Trigger eine MQTT-Nachricht. Unterbezeichnungen fügen den Triggernamen zur Objektbezeichnung hinzu. Attribute sind durchsuchbare Metadaten, die separat in den Metadaten des verfolgten Objekts gespeichert werden.",
           "error": {
             "min": "Mindesten eine Aktion muss ausgewählt sein."
           }
+        },
+        "friendly_name": {
+          "title": "Nutzerfreundlicher Name",
+          "placeholder": "Benenne oder beschreibe diesen Auslöser",
+          "description": "Ein optionaler nutzerfreundlicher Name oder eine Beschreibung für diesen Auslöser."
         }
       }
     },
@@ -826,6 +869,27 @@
         "updateTriggerFailed": "Auslöser könnte nicht aktualisiert werden: {{errorMessage}}",
         "deleteTriggerFailed": "Auslöser konnte nicht gelöscht werden: {{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "title": "Semantische Suche ist deaktiviert",
+      "desc": "Semantische Suche muss aktiviert sein um Auslöser nutzen zu können."
+    },
+    "wizard": {
+      "title": "Auslöser erstellen",
+      "step1": {
+        "description": "Konfigurieren Sie die Grundeinstellungen für Ihren Auslöser."
+      },
+      "step2": {
+        "description": "Legen Sie den Inhalt fest, der diese Aktion auslöst."
+      },
+      "step3": {
+        "description": "Konfigurieren Sie den Schwellenwert und die Aktionen für diesen Trigger."
+      },
+      "steps": {
+        "nameAndType": "Name und Typ",
+        "configureData": "Daten konfigurieren",
+        "thresholdAndActions": "Schwellenwert und Maßnahmen"
+      }
     }
   },
   "roles": {
@@ -878,7 +942,8 @@
         "createRole": "Rolle {{role}} erfolgreich erstellt",
         "updateCameras": "Kameras für Rolle {{role}} aktualisiert",
         "deleteRole": "Rolle {{role}} erfolgreich gelöscht",
-        "userRolesUpdated": "{{count}} Benutzer, denen diese Rolle zugewiesen wurde, wurden auf „Zuschauer“ aktualisiert, der Zugriff auf alle Kameras hat."
+        "userRolesUpdated_one": "{{count}} Benutzer, denen diese Rolle zugewiesen wurde, wurden auf „Zuschauer“ aktualisiert, der Zugriff auf alle Kameras hat.",
+        "userRolesUpdated_other": "{{count}} Benutzer, denen diese Rollen zugewiesen wurde, wurden auf „Zuschauer“ aktualisiert, der Zugriff auf alle Kameras habem."
       },
       "error": {
         "createRoleFailed": "Fehler beim Erstellen der Rolle: {{errorMessage}}",
@@ -887,5 +952,350 @@
         "userUpdateFailed": "Aktualisierung der Benutzerrollen fehlgeschlagen: {{errorMessage}}"
       }
     }
+  },
+  "cameraWizard": {
+    "title": "Kamera hinzufügen",
+    "description": "Folge den Anweisungen unten, um eine neue Kamera zu deiner Frigate-Installation hinzuzufügen.",
+    "steps": {
+      "nameAndConnection": "Name & Verbindung",
+      "streamConfiguration": "Stream Konfiguration",
+      "validationAndTesting": "Überprüfung & Testen",
+      "probeOrSnapshot": "Test oder Momentaufnahme"
+    },
+    "save": {
+      "success": "Neue Kamera {{cameraName}} erfolgreich hinzugefügt.",
+      "failure": "Fehler beim Speichern von {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Auflösung",
+      "video": "Video",
+      "audio": "Audio",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Bitte korrekte Stream-URL eingeben",
+      "testFailed": "Stream Test fehlgeschlagen: {{error}}"
+    },
+    "step1": {
+      "description": "Geben Sie Ihre Kameradaten ein und wählen Sie, ob Sie die Kamera automatisch erkennen lassen oder die Marke manuell auswählen möchten.",
+      "cameraName": "Kameraname",
+      "cameraNamePlaceholder": "z.B. vordere_tür oder Hof Übersicht",
+      "host": "Host/IP Adresse",
+      "port": "Port",
+      "username": "Nutzername",
+      "usernamePlaceholder": "Optional",
+      "password": "Passwort",
+      "passwordPlaceholder": "Optional",
+      "selectTransport": "Transport-Protokoll auswählen",
+      "cameraBrand": "Kamerahersteller",
+      "selectBrand": "Wähle die Kamerahersteller für die URL-Vorlage aus",
+      "customUrl": "Benutzerdefinierte Stream-URL",
+      "brandInformation": "Hersteller Information",
+      "brandUrlFormat": "Für Kameras mit RTSP URL nutze folgendes Format: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://nutzername:passwort@host:port/pfad",
+      "testConnection": "Teste Verbindung",
+      "testSuccess": "Verbindungstest erfolgreich!",
+      "testFailed": "Verbindungstest fehlgeschlagen. Bitte prüfe deine Eingaben und versuche es erneut.",
+      "streamDetails": "Stream Details",
+      "warnings": {
+        "noSnapshot": "Es kann kein Snapshot aus dem konfigurierten Stream abgerufen werden."
+      },
+      "errors": {
+        "brandOrCustomUrlRequired": "Wählen Sie entweder einen Kamerahersteller mit Host/IP aus oder wählen Sie „Andere“ mit einer benutzerdefinierten URL",
+        "nameRequired": "Der Kameraname wird benötigt",
+        "nameLength": "Der Kameraname darf höchsten 64 Zeichen lang sein",
+        "invalidCharacters": "Der Kameraname enthält ungültige Zeichen",
+        "nameExists": "Der Kameraname existiert bereits",
+        "brands": {
+          "reolink-rtsp": "Reolink RTSP wird nicht empfohlen. Es wird empfohlen, http in den Kameraeinstellungen zu aktivieren und den Kamera-Assistenten neu zu starten."
+        },
+        "customUrlRtspRequired": "Benutzerdefinierte URLs müssen mit „rtsp://“ beginnen. Für Nicht-RTSP-Kamerastreams ist eine manuelle Konfiguration erforderlich."
+      },
+      "docs": {
+        "reolink": "https://docs.frigate.video/configuration/camera_specific.html#reolink-cameras"
+      },
+      "connectionSettings": "Verbindungseinstellungen",
+      "detectionMethod": "Stream Erkennungsmethode",
+      "onvifPort": "ONVIF Port",
+      "probeMode": "Untersuche Kamera",
+      "detectionMethodDescription": "Suchen Sie die Kamera mit ONVIF (sofern unterstützt), um die URLs der Kamerastreams zu finden, oder wählen Sie manuell die Kameramarke aus, um vordefinierte URLs zu verwenden. Um eine benutzerdefinierte RTSP-URL einzugeben, wählen Sie die manuelle Methode und dann „Andere“.",
+      "onvifPortDescription": "Bei Kameras, die ONVIF unterstützen, ist dies in der Regel 80 oder 8080.",
+      "useDigestAuth": "Digest-Authentifizierung verwenden",
+      "useDigestAuthDescription": "Verwenden Sie die HTTP-Digest-Authentifizierung für ONVIF. Einige Kameras erfordern möglicherweise einen speziellen ONVIF-Benutzernamen/ein spezielles ONVIF-Passwort anstelle des Standard-Admin-Benutzers.",
+      "manualMode": "Manuelle Auswahl"
+    },
+    "step2": {
+      "description": "Suchen Sie in der Kamera nach verfügbaren Streams oder konfigurieren Sie manuelle Einstellungen basierend auf der von Ihnen ausgewählten Erkennungsmethode.",
+      "streamsTitle": "Kamera Streams",
+      "addStream": "Stream hinzufügen",
+      "addAnotherStream": "Weiteren Stream hinzufügen",
+      "streamTitle": "Stream {{nummer}}",
+      "streamUrl": "Stream URL",
+      "streamUrlPlaceholder": "rtsp://nutzername:passwort@host:port/pfad",
+      "url": "URL",
+      "resolution": "Auflösung",
+      "selectResolution": "Auflösung auswählen",
+      "quality": "Qualität",
+      "selectQuality": "Qualität auswählen",
+      "roles": "Rollen",
+      "roleLabels": {
+        "detect": "Objekt-Erkennung",
+        "record": "Aufzeichnung",
+        "audio": "Audio"
+      },
+      "testStream": "Verbindung testen",
+      "testSuccess": "Verbindung erfolgreich getestet!",
+      "testFailed": "Verbindungstest fehlgeschlagen. Bitte überprüfen Sie ihre Eingaben und versuchen Sie es erneut.",
+      "testFailedTitle": "Test fehlgeschlagen",
+      "connected": "Verbunden",
+      "notConnected": "Nicht verbunden",
+      "featuresTitle": "Funktionen",
+      "go2rtc": "Verbindungen zur Kamera reduzieren",
+      "detectRoleWarning": "Mindestens ein Stream muss die Rolle „detect“ haben, um fortfahren zu können.",
+      "rolesPopover": {
+        "title": "Stream Rollen",
+        "detect": "Haupt-Feed für Objekt-Erkennung.",
+        "record": "Speichert Segmente des Video-Feeds basierend auf den Konfigurationseinstellungen.",
+        "audio": "Feed für audiobasierte Erkennung."
+      },
+      "featuresPopover": {
+        "title": "Stream Funktionen",
+        "description": "Verwende go2rtc Restreaming, um die Verbindungen zu deiner Kamera zu reduzieren."
+      },
+      "streamDetails": "Verbindungsdetails",
+      "probing": "Kamera wird geprüft...",
+      "retry": "Wiederholen",
+      "testing": {
+        "probingMetadata": "Metadaten der Kamera werden überprüft...",
+        "fetchingSnapshot": "Kamera-Schnappschuss wird abgerufen..."
+      },
+      "probeFailed": "Fehler beim Untersuchen der Kamera: {{error}}",
+      "probingDevice": "Untersuche Gerät...",
+      "probeSuccessful": "Erkennung erfolgreich",
+      "probeError": "Erkennungsfehler",
+      "probeNoSuccess": "Erkennung fehlgeschlagen",
+      "deviceInfo": "Geräteinformationen",
+      "manufacturer": "Hersteller",
+      "model": "Modell",
+      "firmware": "Firmware",
+      "profiles": "Profile",
+      "ptzSupport": "PTZ Unterstützung",
+      "autotrackingSupport": "Unterstützung für Autoverfolgung",
+      "presets": "Voreinstellung",
+      "rtspCandidates": "RTSP Kandidaten",
+      "rtspCandidatesDescription": "Die folgenden RTSP-URLs wurden bei der Kameraerkennung gefunden. Testen Sie die Verbindung, um die Stream-Metadaten anzuzeigen.",
+      "noRtspCandidates": "Es wurden keine RTSP-URLs von der Kamera gefunden. Möglicherweise sind Ihre Anmeldedaten falsch oder die Kamera unterstützt ONVIF oder die Methode zum Abrufen von RTSP-URLs nicht. Gehen Sie zurück und geben Sie die RTSP-URL manuell ein.",
+      "candidateStreamTitle": "Kandidate {{number}}",
+      "useCandidate": "Verwenden",
+      "uriCopy": "Kopieren",
+      "uriCopied": "URI in die Zwischenablage kopiert",
+      "testConnection": "Test Verbindung",
+      "toggleUriView": "Klicken Sie hier, um die vollständige URI zu sehen",
+      "errors": {
+        "hostRequired": "Host/IP adresse wird benötigt"
+      }
+    },
+    "step3": {
+      "description": "Konfigurieren Sie Stream-Rollen und fügen Sie zusätzliche Streams für Ihre Kamera hinzu.",
+      "validationTitle": "Stream Validierung",
+      "connectAllStreams": "Verbinde alle Streams",
+      "reconnectionSuccess": "Wiederverbindung erfolgreich.",
+      "reconnectionPartial": "Einige Streams konnten nicht wieder verbunden werden.",
+      "streamUnavailable": "Stream-Vorschau nicht verfügbar",
+      "reload": "Neu laden",
+      "connecting": "Verbinde...",
+      "streamTitle": "Stream {{number}}",
+      "valid": "Gültig",
+      "failed": "Fehlgeschlagen",
+      "notTested": "Nicht getestet",
+      "connectStream": "Verbinden",
+      "connectingStream": "Verbinde",
+      "disconnectStream": "Trennen",
+      "estimatedBandwidth": "Geschätzte Bandbreite",
+      "roles": "Rollen",
+      "none": "Keine",
+      "error": "Fehler",
+      "streamValidated": "Stream {{number}} wurde erfolgreich validiert",
+      "streamValidationFailed": "Stream {{number}} Validierung fehlgeschlagen",
+      "saveAndApply": "Neue Kamera speichern",
+      "saveError": "Ungültige Konfiguration. Bitte prüfe die Einstellungen.",
+      "issues": {
+        "title": "Stream Validierung",
+        "videoCodecGood": "Video-Codec ist {{codec}}.",
+        "audioCodecGood": "Audio-Codec ist {{codec}}.",
+        "noAudioWarning": "Für diesen Stream wurde kein Ton erkannt, die Aufzeichnungen enthalten keinen Ton.",
+        "audioCodecRecordError": "Der AAC-Audio-Codec ist erforderlich, um Audio in Aufnahmen zu unterstützen.",
+        "audioCodecRequired": "Ein Audiostream ist erforderlich, um Audioerkennung zu unterstützen.",
+        "restreamingWarning": "Eine Reduzierung der Verbindungen zur Kamera für den Aufzeichnungsstream kann zu einer etwas höheren CPU-Auslastung führen.",
+        "dahua": {
+          "substreamWarning": "Substream 1 ist auf eine niedrige Auflösung festgelegt. Viele Kameras von Dahua / Amcrest / EmpireTech unterstützen zusätzliche Substreams, die in den Kameraeinstellungen aktiviert werden müssen. Es wird empfohlen, diese Streams zu nutzen, sofern sie verfügbar sind."
+        },
+        "hikvision": {
+          "substreamWarning": "Substream 1 ist auf eine niedrige Auflösung festgelegt. Viele Hikvision-Kameras unterstützen zusätzliche Substreams, die in den Kameraeinstellungen aktiviert werden müssen. Es wird empfohlen, diese Streams zu nutzen, sofern sie verfügbar sind."
+        }
+      },
+      "streamsTitle": "Kamera Stream",
+      "addStream": "Stream hinzufügen",
+      "addAnotherStream": "weiteren Stream hinzufügen",
+      "streamUrl": "Stream URL",
+      "streamUrlPlaceholder": "rtsp://benutzername:passwort@host:port/path",
+      "selectStream": "Auswahl Stream",
+      "searchCandidates": "Suche Kandidaten...",
+      "noStreamFound": "Kein Stream gefunden",
+      "url": "URL",
+      "resolution": "Auflösung",
+      "selectResolution": "Wähle Auflösung",
+      "quality": "Qualität",
+      "selectQuality": "Wähle Qualität",
+      "roleLabels": {
+        "detect": "Objekterkennung",
+        "record": "Aufnahme",
+        "audio": "Ton"
+      },
+      "testStream": "Verbindungstest",
+      "testSuccess": "Verbindungstest erfolgreich!",
+      "testFailed": "Verbindungstest fehlgeschlagen",
+      "testFailedTitle": "Test fehlgeschlagen",
+      "connected": "Verbunden",
+      "notConnected": "nicht verbunden",
+      "featuresTitle": "Funktionen",
+      "go2rtc": "Verbindungen zur Kamera reduzieren",
+      "detectRoleWarning": "Mindestens ein Stream muss die Rolle „detect“ haben, um fortfahren zu können.",
+      "rolesPopover": {
+        "title": "Stream Rollen",
+        "detect": "Hauptfeed für die Objekterkennung.",
+        "record": "Speichert Segmente des Video-Feeds basierend auf den Konfigurationseinstellungen.",
+        "audio": "Feed für audiobasierte Erkennung."
+      },
+      "featuresPopover": {
+        "title": "Stream Funktionen",
+        "description": "Verwenden Sie go2rtc-Restreaming, um die Verbindungen zu Ihrer Kamera zu reduzieren."
+      }
+    },
+    "step4": {
+      "description": "Endgültige Validierung und Analyse vor dem Speichern Ihrer neuen Kamera. Verbinden Sie jeden Stream vor dem Speichern.",
+      "validationTitle": "Stream-Validierung",
+      "connectAllStreams": "Alle Streams verbinden",
+      "reconnectionSuccess": "Wiederverbindung erfolgreich.",
+      "reconnectionPartial": "Einige Streams konnten nicht wieder verbunden werden.",
+      "streamUnavailable": "Stream Vorschau nicht verfügbar",
+      "reload": "neu Laden",
+      "connecting": "Verbinden...",
+      "streamTitle": "Stream {{number}}",
+      "valid": "gültig",
+      "failed": "fehlgeschlagen",
+      "notTested": "nicht getestet",
+      "connectStream": "Verbinden",
+      "connectingStream": "Verbinden",
+      "disconnectStream": "getrennt",
+      "estimatedBandwidth": "Voraussichtliche Bandbreite",
+      "roles": "Rollen",
+      "ffmpegModule": "Stream-Kompatibilitätsmodus verwenden",
+      "ffmpegModuleDescription": "Wenn der Stream nach mehreren Versuchen nicht geladen wird, versuchen Sie, diese Option zu aktivieren. Wenn diese Option aktiviert ist, verwendet Frigate das ffmpeg-Modul mit go2rtc. Dies kann zu einer besseren Kompatibilität mit einigen Kamerastreams führen.",
+      "none": "keiner",
+      "error": "Fehler",
+      "streamValidated": "Steam {{number}} erfolgreich validiert",
+      "streamValidationFailed": "Stream {{number}} Validierung fehlgeschlagen",
+      "saveAndApply": "Neue Kamera speichern",
+      "saveError": "Ungültige Konfiguration. Bitte überprüfen Sie Ihre Einstellungen.",
+      "issues": {
+        "title": "Stream-Validierung",
+        "videoCodecGood": "Video codec ist {{codec}}.",
+        "audioCodecGood": "Audio codec ist {{codec}}.",
+        "resolutionHigh": "Eine Auflösung von {{resolution}} kann zu einem erhöhten Ressourcenverbrauch führen.",
+        "resolutionLow": "Eine Auflösung von {{resolution}} ist möglicherweise zu gering, um kleine Objekte zuverlässig zu erkennen.",
+        "noAudioWarning": "Für diesen Stream wurde kein Ton erkannt, die Aufzeichnungen enthalten keinen Ton.",
+        "audioCodecRecordError": "Der AAC-Audio-Codec ist erforderlich, um Audio in Aufnahmen zu unterstützen.",
+        "audioCodecRequired": "Ein Audiostream ist erforderlich, um die Audioerkennung zu unterstützen.",
+        "restreamingWarning": "Die Reduzierung der Verbindungen zur Kamera für den Aufzeichnungsstream kann zu einer geringfügigen Erhöhung der CPU-Auslastung führen.",
+        "brands": {
+          "reolink-rtsp": "Reolink RTSP wird nicht empfohlen. Aktivieren Sie HTTP in den Firmware-Einstellungen der Kamera und starten Sie den Assistenten neu.",
+          "reolink-http": "Für Reolink-HTTP-Streams sollten sie FFmpeg verwenden, um eine bessere Kompatibilität zu gewährleisten. Aktivieren Sie für diesen Stream die Option „Stream-Kompatibilitätsmodus verwenden“."
+        },
+        "dahua": {
+          "substreamWarning": "Substream 1 ist auf eine niedrige Auflösung festgelegt. Viele Kameras von Dahua / Amcrest / EmpireTech unterstützen zusätzliche Substreams, die in den Kameraeinstellungen aktiviert werden müssen. Es wird empfohlen, diese Streams zu überprüfen und zu nutzen, sofern sie verfügbar sind."
+        },
+        "hikvision": {
+          "substreamWarning": "Substream 1 ist auf eine niedrige Auflösung festgelegt. Viele Hikvision-Kameras unterstützen zusätzliche Substreams, die in den Kameraeinstellungen aktiviert werden müssen. Es wird empfohlen, diese Streams zu überprüfen und zu nutzen, sofern sie verfügbar sind."
+        }
+      }
+    }
+  },
+  "cameraManagement": {
+    "title": "Kameras verwalten",
+    "addCamera": "Neue Kamera hinzufügen",
+    "editCamera": "Kamera bearbeiten:",
+    "selectCamera": "Wähle eine Kamera",
+    "backToSettings": "Zurück zu Kameraeinstellungen",
+    "streams": {
+      "title": "Kameras aktivieren / deaktivieren",
+      "desc": "Deaktiviere eine Kamera vorübergehend, bis Frigate neu gestartet wird. Deaktivierung einer Kamera stoppt die Verarbeitung der Streams dieser Kamera durch Frigate vollständig. Erkennung, Aufzeichnung und Debugging sind dann nicht mehr verfügbar. <br /> <em>Hinweis: Dies deaktiviert nicht die go2rtc restreams.</em>"
+    },
+    "cameraConfig": {
+      "add": "Kamera hinzufügen",
+      "edit": "Kamera bearbeiten",
+      "description": "Konfiguriere die Kameraeinstellungen, einschließlich Streams und Rollen.",
+      "name": "Kameraname",
+      "nameRequired": "Kameraname benötigt",
+      "nameLength": "Kameraname darf maximal 64 Zeichen lang sein.",
+      "namePlaceholder": "z.B. vordere_tür oder Hof Übersicht",
+      "enabled": "Aktiviert",
+      "ffmpeg": {
+        "inputs": "Eingang Streams",
+        "path": "Stream-Pfad",
+        "pathRequired": "Stream-Pfad benötigt",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "Rollen",
+        "rolesRequired": "Mindestens eine Rolle wird benötigt",
+        "rolesUnique": "Jede Rolle (audio, detect, record) kann nur einem Stream zugewiesen werden",
+        "addInput": "Eingangs-Stream hinzufügen",
+        "removeInput": "Eingangs-Stream entfernen",
+        "inputsRequired": "Es wird mindestens ein Eingangs-Stream benötigt"
+      },
+      "go2rtcStreams": "go2rtc Streams",
+      "streamUrls": "Stream URLs",
+      "addUrl": "URL hinzufügen",
+      "addGo2rtcStream": "go2rtc Stream hinzufügen",
+      "toast": {
+        "success": "Kamera {{cameraName}} erfolgreich gespeichert"
+      }
+    }
+  },
+  "cameraReview": {
+    "title": "Kamera-Einstellungen überprüfen",
+    "object_descriptions": {
+      "title": "Generative KI Objektbeschreibungen",
+      "desc": "Aktiviere/deaktiviere vorübergehend die Objektbeschreibungen durch Generative KI für diese Kamera. Wenn diese Option deaktiviert ist, werden keine KI-generierten Beschreibungen für verfolgte Objekte dieser Kamera erstellt."
+    },
+    "review_descriptions": {
+      "title": "Generative KI Review Beschreibungen",
+      "desc": "Generative KI Review Beschreibungen für diese Kamera vorübergehend aktivieren/deaktivieren. Wenn diese Option deaktiviert ist, werden für die Review Elemente dieser Kamera keine KI-generierten Beschreibungen angefordert."
+    },
+    "review": {
+      "title": "Überprüfung",
+      "desc": "Aktivieren/deaktivieren Sie vorübergehend Warnmeldungen und Erkennungen für diese Kamera, bis Frigate neu gestartet wird. Wenn diese Funktion deaktiviert ist, werden keine neuen Überprüfungselemente generiert. ",
+      "alerts": "Warnungen ",
+      "detections": "Erkennungen "
+    },
+    "reviewClassification": {
+      "title": "Bewertungsklassifizierung",
+      "desc": "Frigate kategorisiert zu überprüfende Elemente als Warnmeldungen und Erkennungen. Standardmäßig werden alle Objekte vom Typ <em>Person</em> und <em>Auto</em> als Warnmeldungen betrachtet. Sie können die Kategorisierung der zu überprüfenden Elemente verfeinern, indem Sie die erforderlichen Zonen für sie konfigurieren.",
+      "noDefinedZones": "Für diese Kamera sind keine Zonen definiert.",
+      "objectAlertsTips": "Alle {{alertsLabels}}-Objekte auf {{cameraName}} werden als Warnmeldungen angezeigt.",
+      "zoneObjectAlertsTips": "Alle {{alertsLabels}}-Objekte, die in {{zone}} auf {{cameraName}} erkannt wurden, werden als Warnmeldungen angezeigt.",
+      "objectDetectionsTips": "Alle {{detectionsLabels}}-Objekte, die nicht unter {{cameraName}} kategorisiert sind, werden unabhängig davon, in welcher Zone sie sich befinden, als Erkennungen angezeigt.",
+      "zoneObjectDetectionsTips": {
+        "text": "Alle {{detectionsLabels}}-Objekte, die nicht in {{zone}} auf {{cameraName}} kategorisiert sind, werden als Erkennungen angezeigt.",
+        "notSelectDetections": "Alle {{detectionsLabels}}-Objekte, die in {{zone}} auf {{cameraName}} erkannt und nicht als Warnmeldungen kategorisiert wurden, werden unabhängig davon, in welcher Zone sie sich befinden, als Erkennungen angezeigt.",
+        "regardlessOfZoneObjectDetectionsTips": "Alle {{detectionsLabels}}-Objekte, die nicht unter {{cameraName}} kategorisiert sind, werden unabhängig davon, in welcher Zone sie sich befinden, als Erkennungen angezeigt."
+      },
+      "unsavedChanges": "Nicht gespeicherte Überprüfung der Klassifizierungseinstellungen für {{camera}}",
+      "selectAlertsZones": "Zonen für Warnmeldungen auswählen",
+      "selectDetectionsZones": "Zonen für Erkennungen auswählen",
+      "limitDetections": "Erkennungen auf bestimmte Zonen beschränken",
+      "toast": {
+        "success": "Die Konfiguration der Bewertungsklassifizierung wurde gespeichert. Starten Sie Frigate neu, um die Änderungen zu übernehmen."
+      }
+    }
   }
 }
diff --git a/web/public/locales/de/views/system.json b/web/public/locales/de/views/system.json
index b4720ef5f..0437c65b1 100644
--- a/web/public/locales/de/views/system.json
+++ b/web/public/locales/de/views/system.json
@@ -31,7 +31,12 @@
       "gpuDecoder": "GPU Decoder",
       "gpuEncoder": "GPU Encoder",
       "npuUsage": "NPU Verwendung",
-      "npuMemory": "NPU Speicher"
+      "npuMemory": "NPU Speicher",
+      "intelGpuWarning": {
+        "title": "Intel GPU Statistik Warnung",
+        "message": "GPU stats nicht verfügbar",
+        "description": "Dies ist ein bekannter Fehler in den GPU-Statistik-Tools von Intel (intel_gpu_top), bei dem das Tool ausfällt und wiederholt eine GPU-Auslastung von 0 % anzeigt, selbst wenn die Hardwarebeschleunigung und die Objekterkennung auf der (i)GPU korrekt funktionieren. Dies ist kein Fehler von Frigate. Du kannst den Host neu starten, um das Problem vorübergehend zu beheben und zu prüfen, ob die GPU korrekt funktioniert. Dies hat keine Auswirkungen auf die Leistung."
+      }
     },
     "title": "Allgemein",
     "detector": {
@@ -45,7 +50,14 @@
     "otherProcesses": {
       "title": "Andere Prozesse",
       "processCpuUsage": "CPU Auslastung für Prozess",
-      "processMemoryUsage": "Prozessspeicherauslastung"
+      "processMemoryUsage": "Prozessspeicherauslastung",
+      "series": {
+        "go2rtc": "go2rtc",
+        "recording": "Aufnahme",
+        "audio_detector": "Geräuscherkennung",
+        "review_segment": "Überprüfungsteil",
+        "embeddings": "Einbettungen"
+      }
     }
   },
   "documentTitle": {
@@ -167,10 +179,20 @@
       "face_recognition": "Gesichts Erkennung",
       "image_embedding": "Bild Embedding",
       "yolov9_plate_detection_speed": "YOLOv9 Kennzeichenerkennungsgeschwindigkeit",
-      "yolov9_plate_detection": "YOLOv9 Kennzeichenerkennung"
+      "yolov9_plate_detection": "YOLOv9 Kennzeichenerkennung",
+      "review_description": "Bewertung Beschreibung",
+      "review_description_speed": "Bewertungsbeschreibung Geschwindigkeit",
+      "review_description_events_per_second": "Bewertungsbeschreibung",
+      "object_description": "Objekt Beschreibung",
+      "object_description_speed": "Objektbeschreibung Geschwindigkeit",
+      "object_description_events_per_second": "Objektbeschreibung",
+      "classification": "{{name}} Klassifizierung",
+      "classification_speed": "{{name}} Klassifizierungsgeschwindigkeit",
+      "classification_events_per_second": "{{name}} Klassifizierungsereignisse pro Sekunde"
     },
     "title": "Optimierungen",
-    "infPerSecond": "Rückschlüsse pro Sekunde"
+    "infPerSecond": "Rückschlüsse pro Sekunde",
+    "averageInf": "Durchschnittliche Inferenzzeit"
   },
   "stats": {
     "healthy": "Das System läuft problemlos",
diff --git a/web/public/locales/el/common.json b/web/public/locales/el/common.json
index 04c1dc01b..3bcd3316f 100644
--- a/web/public/locales/el/common.json
+++ b/web/public/locales/el/common.json
@@ -1,10 +1,10 @@
 {
   "time": {
-    "untilForTime": "Ως{{time}}",
+    "untilForTime": "Ως {{time}}",
     "untilForRestart": "Μέχρι να γίνει επανεκίννηση του Frigate.",
     "untilRestart": "Μέχρι να γίνει επανεκκίνηση",
     "justNow": "Μόλις τώρα",
-    "ago": "{{timeAgo}} Πριν",
+    "ago": "Πριν {{timeAgo}}",
     "today": "Σήμερα",
     "yesterday": "Εχθές",
     "last7": "Τελευταίες 7 ημέρες",
@@ -31,7 +31,51 @@
     "lastMonth": "Τελευταίος Μήνας",
     "5minutes": "5 λεπτά",
     "10minutes": "10 λεπτά",
-    "30minutes": "30 λεπτά"
+    "30minutes": "30 λεπτά",
+    "1hour": "1 ώρα",
+    "12hours": "12 ώρες",
+    "24hours": "24 ώρες",
+    "pm": "μ.μ.",
+    "formattedTimestamp": {
+      "12hour": "d MMM, h:mm:ss aaa",
+      "24hour": "d MMM, HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "MM/dd h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "d MMM, h:mm aaa",
+      "24hour": "d MMM, HH:mm"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "d MMM yyyy",
+      "24hour": "d MMM yyyy"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "d MMM yyyy, h:mm aaa",
+      "24hour": "d MMM yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "d MMM",
+    "formattedTimestampFilename": {
+      "12hour": "dd-MM-yy-h-mm-ss-a",
+      "24hour": "dd-MM-yy-HH-mm-ss"
+    },
+    "d": "{{time}}η",
+    "h": "{{time}}ω",
+    "m": "{{time}}λ",
+    "s": "{{time}}δ",
+    "inProgress": "Σε εξέλιξη",
+    "invalidStartTime": "Μη έγκυρη ώρα έναρξης",
+    "invalidEndTime": "Μη έγκυρη ώρα λήξης"
   },
   "menu": {
     "live": {
@@ -40,5 +84,98 @@
         "count_other": "{{count}} Κάμερες"
       }
     }
+  },
+  "button": {
+    "save": "Αποθήκευση",
+    "apply": "Εφαρμογή",
+    "reset": "Επαναφορά",
+    "done": "Τέλος",
+    "enabled": "Ενεργοποιημένο",
+    "enable": "Ενεργοποίηση",
+    "disabled": "Απενεργοποιημένο",
+    "disable": "Απενεργοποίηση",
+    "saving": "Αποθήκευση…",
+    "cancel": "Ακύρωση",
+    "close": "Κλείσιμο",
+    "copy": "Αντιγραφή",
+    "back": "Πίσω",
+    "pictureInPicture": "Εικόνα σε εικόνα",
+    "cameraAudio": "Ήχος κάμερας",
+    "edit": "Επεξεργασία",
+    "copyCoordinates": "Αντιγραφή συντεταγμένων",
+    "delete": "Διαγραφή",
+    "yes": "Ναι",
+    "no": "Όχι",
+    "download": "Κατέβασμα",
+    "info": "Πληροφορίες",
+    "history": "Ιστορία"
+  },
+  "unit": {
+    "speed": {
+      "mph": "mph",
+      "kph": "χλμ/ώρα"
+    },
+    "length": {
+      "meters": "μέτρα"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/ώρα",
+      "mbph": "MB/ώρα",
+      "gbph": "GB/ώρα"
+    }
+  },
+  "label": {
+    "back": "Επιστροφή",
+    "hide": "Απόκρυψη {{item}}",
+    "show": "Εμφάνιση {{item}}",
+    "ID": "ID",
+    "none": "Κανένα",
+    "all": "Όλα"
+  },
+  "toast": {
+    "save": {
+      "title": "Αποθήκευση",
+      "error": {
+        "title": "Αποτυχία αποθήκευσης αλλαγών διαμόρφωσης: {{errorMessage}}",
+        "noMessage": "Αποτυχία αποθήκευσης αλλαγών διαμόρφωσης"
+      }
+    }
+  },
+  "role": {
+    "admin": "Διαχειριστής",
+    "desc": "Οι διαχειριστές έχουν πλήρη πρόσβαση σε όλες τις λειτουργίες του περιβάλλοντος χρήστη Frigate. Οι θεατές έχουν περιορισμένη πρόσβαση στην προβολή καμερών, στην αναθεώρηση στοιχείων και σε ιστορικό υλικό στο περιβάλλον χρήστη.",
+    "viewer": "Θεατής"
+  },
+  "pagination": {
+    "previous": {
+      "title": "Προηγούμενο",
+      "label": "Μετάβαση στην προηγούμενη σελίδα"
+    },
+    "next": {
+      "title": "Επόμενο",
+      "label": "Μετάβαση στην επόμενη σελίδα"
+    },
+    "more": "Περισσότερες σελίδες"
+  },
+  "accessDenied": {
+    "documentTitle": "Πρόσβαση απορρίφθηκε - Frigate",
+    "title": "Πρόσβαση απορρίφθηκε",
+    "desc": "Δεν έχετε άδεια να δείτε αυτή τη σελίδα."
+  },
+  "notFound": {
+    "documentTitle": "Δεν βρέθηκε - Frigate",
+    "title": "404",
+    "desc": "Η σελίδα δεν βρέθηκε"
+  },
+  "list": {
+    "two": "{{0}} και {{1}}",
+    "many": "{{items}} και {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "internalID": "Το εσωτερικό ID που χρησιμοποίησε η Fregate στη διαμόρφωση και τη βάση δεδομένων"
   }
 }
diff --git a/web/public/locales/el/components/auth.json b/web/public/locales/el/components/auth.json
index 95d30f919..c978b3667 100644
--- a/web/public/locales/el/components/auth.json
+++ b/web/public/locales/el/components/auth.json
@@ -10,6 +10,7 @@
       "loginFailed": "Αποτυχία σύνδεσης",
       "unknownError": "Άγνωστο σφάλμα. Ελέγξτε το αρχείο καταγραφής.",
       "webUnknownError": "Άγνωστο σφάλμα. Εξετάστε το αρχείο καταγραφής κονσόλας."
-    }
+    },
+    "firstTimeLogin": "Προσπαθείτε να συνδεθείτε για πρώτη φορά; Τα διαπιστευτήρια είναι τυπωμένα στα logs του Frigate."
   }
 }
diff --git a/web/public/locales/el/components/dialog.json b/web/public/locales/el/components/dialog.json
index c4826881a..40c3f0545 100644
--- a/web/public/locales/el/components/dialog.json
+++ b/web/public/locales/el/components/dialog.json
@@ -46,5 +46,10 @@
     "toast": {
       "success": "Επιτυχής έναρξη εξαγωγής. Δείτε το αρχείο στον φάκελο /exports."
     }
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Αποθήκευση αναζήτησης"
+    }
   }
 }
diff --git a/web/public/locales/el/views/classificationModel.json b/web/public/locales/el/views/classificationModel.json
new file mode 100644
index 000000000..3f7b88c7c
--- /dev/null
+++ b/web/public/locales/el/views/classificationModel.json
@@ -0,0 +1,7 @@
+{
+  "documentTitle": "Μοντέλα Ταξινόμησης - Frigate",
+  "details": {
+    "scoreInfo": "Η βαθμολογία αντιπροσωπεύει την κατά μέσο όρο ταξινομική εμπιστοσύνη μεταξύ όλων των ανιχνεύσεων αυτού του αντικειμένου.",
+    "none": "Καμία"
+  }
+}
diff --git a/web/public/locales/el/views/explore.json b/web/public/locales/el/views/explore.json
index 12390dcb9..a33fb17bf 100644
--- a/web/public/locales/el/views/explore.json
+++ b/web/public/locales/el/views/explore.json
@@ -42,5 +42,11 @@
     "noImageFound": "Δεν βρέθηκε εικόνα για αυτό το χρονικό σημείο."
   },
   "trackedObjectsCount_one": "{{count}} παρακολουθούμενο αντικείμενο ",
-  "trackedObjectsCount_other": "{{count}} παρακολουθούμενα αντικείμενα "
+  "trackedObjectsCount_other": "{{count}} παρακολουθούμενα αντικείμενα ",
+  "itemMenu": {
+    "downloadVideo": {
+      "label": "Λήψη βίντεο",
+      "aria": "Λήψη βίντεο"
+    }
+  }
 }
diff --git a/web/public/locales/el/views/exports.json b/web/public/locales/el/views/exports.json
index 8aff54238..f6526eea0 100644
--- a/web/public/locales/el/views/exports.json
+++ b/web/public/locales/el/views/exports.json
@@ -13,5 +13,10 @@
     "error": {
       "renameExportFailed": "Αποτυχία μετονομασίας εξαγωγής:{{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Κοινή χρήση εξαγωγής",
+    "downloadVideo": "Λήψη βίντεο",
+    "deleteExport": "Διαγραφή εξαγωγής"
   }
 }
diff --git a/web/public/locales/el/views/faceLibrary.json b/web/public/locales/el/views/faceLibrary.json
index f41e89c96..7bb548e07 100644
--- a/web/public/locales/el/views/faceLibrary.json
+++ b/web/public/locales/el/views/faceLibrary.json
@@ -1,6 +1,6 @@
 {
   "description": {
-    "addFace": "Οδηγός για την προσθήκη μιας νέας συλλογής στη Βιβλιοθήκη Προσώπων.",
+    "addFace": "Προσθέστε μια νέα συλλογή στη Βιβλιοθήκη Προσώπων ανεβάζοντας την πρώτη σας εικόνα.",
     "placeholder": "Εισαγάγετε ένα όνομα για αυτήν τη συλλογή",
     "invalidName": "Μη έγκυρο όνομα. Τα ονόματα μπορούν να περιλαμβάνουν γράμματα, αριθμούς, κενό διάστημα, απόστροφο, παύλα, κάτω παύλα."
   },
@@ -27,7 +27,8 @@
   },
   "documentTitle": "Βιβλιοθήκη προσώπων - Frigate",
   "uploadFaceImage": {
-    "title": "Μεταφόρτωση Εικόνας Προσώπου"
+    "title": "Μεταφόρτωση Εικόνας Προσώπου",
+    "desc": "Ανεβάστε μια εικόνα για να σαρώσετε πρόσωπα και να τα συμπεριλάβετε στο {{pageToggle}}"
   },
   "steps": {
     "nextSteps": "Επόμενα βήματα",
diff --git a/web/public/locales/el/views/live.json b/web/public/locales/el/views/live.json
index 8542f02be..b2427114e 100644
--- a/web/public/locales/el/views/live.json
+++ b/web/public/locales/el/views/live.json
@@ -62,5 +62,8 @@
   "audioDetect": {
     "enable": "Ενεργοποίηση Ανίχνευσης Ήχου",
     "disable": "Απενεργοποίηση Ανίχνευσης Ήχου"
+  },
+  "noCameras": {
+    "buttonText": "Προσθήκη Κάμερας"
   }
 }
diff --git a/web/public/locales/el/views/settings.json b/web/public/locales/el/views/settings.json
index 43a5a4a52..75884e0d2 100644
--- a/web/public/locales/el/views/settings.json
+++ b/web/public/locales/el/views/settings.json
@@ -7,9 +7,11 @@
     "masksAndZones": "Ρυθμίσεις Μασκών και Ζωνών - Frigate",
     "motionTuner": "Ρύθμιση Κίνησης - Frigate",
     "object": "Επίλυση σφαλμάτων - Frigate",
-    "general": "Γενικές ρυθμίσεις - Frigate",
+    "general": "Ρυθμίσεις UI - Frigate",
     "frigatePlus": "Ρυθμίσεις Frigate+ - Frigate",
-    "notifications": "Ρυθμίσεις Ειδοποιήσεων"
+    "notifications": "Ρυθμίσεις Ειδοποιήσεων",
+    "cameraManagement": "Διαχείριση καμερών - Frigate",
+    "cameraReview": "Ρυθμίσεις αξιολόγησης κάμερας - Frigate"
   },
   "masksAndZones": {
     "zones": {
@@ -42,5 +44,15 @@
   "cameraSetting": {
     "camera": "Κάμερα",
     "noCamera": "Δεν υπάρχει Κάμερα"
+  },
+  "triggers": {
+    "dialog": {
+      "form": {
+        "friendly_name": {
+          "placeholder": "Ονομάτισε ή περιέγραψε αυτό το εύνασμα",
+          "description": "Ένα προαιρετικό φιλικό όνομα, ή ένα περιγραφικό κείμενο για αυτό το εύνασμα."
+        }
+      }
+    }
   }
 }
diff --git a/web/public/locales/en/audio.json b/web/public/locales/en/audio.json
index de5f5638c..5c197e85b 100644
--- a/web/public/locales/en/audio.json
+++ b/web/public/locales/en/audio.json
@@ -425,5 +425,79 @@
   "television": "Television",
   "radio": "Radio",
   "field_recording": "Field Recording",
-  "scream": "Scream"
+  "scream": "Scream",
+  "sodeling": "Sodeling",
+  "chird": "Chird",
+  "change_ringing": "Change Ringing",
+  "shofar": "Shofar",
+  "liquid": "Liquid",
+  "splash": "Splash",
+  "slosh": "Slosh",
+  "squish": "Squish",
+  "drip": "Drip",
+  "pour": "Pour",
+  "trickle": "Trickle",
+  "gush": "Gush",
+  "fill": "Fill",
+  "spray": "Spray",
+  "pump": "Pump",
+  "stir": "Stir",
+  "boiling": "Boiling",
+  "sonar": "Sonar",
+  "arrow": "Arrow",
+  "whoosh": "Whoosh",
+  "thump": "Thump",
+  "thunk": "Thunk",
+  "electronic_tuner": "Electronic Tuner",
+  "effects_unit": "Effects Unit",
+  "chorus_effect": "Chorus Effect",
+  "basketball_bounce": "Basketball Bounce",
+  "bang": "Bang",
+  "slap": "Slap",
+  "whack": "Whack",
+  "smash": "Smash",
+  "breaking": "Breaking",
+  "bouncing": "Bouncing",
+  "whip": "Whip",
+  "flap": "Flap",
+  "scratch": "Scratch",
+  "scrape": "Scrape",
+  "rub": "Rub",
+  "roll": "Roll",
+  "crushing": "Crushing",
+  "crumpling": "Crumpling",
+  "tearing": "Tearing",
+  "beep": "Beep",
+  "ping": "Ping",
+  "ding": "Ding",
+  "clang": "Clang",
+  "squeal": "Squeal",
+  "creak": "Creak",
+  "rustle": "Rustle",
+  "whir": "Whir",
+  "clatter": "Clatter",
+  "sizzle": "Sizzle",
+  "clicking": "Clicking",
+  "clickety_clack": "Clickety Clack",
+  "rumble": "Rumble",
+  "plop": "Plop",
+  "hum": "Hum",
+  "zing": "Zing",
+  "boing": "Boing",
+  "crunch": "Crunch",
+  "sine_wave": "Sine Wave",
+  "harmonic": "Harmonic",
+  "chirp_tone": "Chirp Tone",
+  "pulse": "Pulse",
+  "inside": "Inside",
+  "outside": "Outside",
+  "reverberation": "Reverberation",
+  "echo": "Echo",
+  "noise": "Noise",
+  "mains_hum": "Mains Hum",
+  "distortion": "Distortion",
+  "sidetone": "Sidetone",
+  "cacophony": "Cacophony",
+  "throbbing": "Throbbing",
+  "vibration": "Vibration"
 }
diff --git a/web/public/locales/en/common.json b/web/public/locales/en/common.json
index 501f2d4bc..8bf13ca61 100644
--- a/web/public/locales/en/common.json
+++ b/web/public/locales/en/common.json
@@ -3,6 +3,7 @@
     "untilForTime": "Until {{time}}",
     "untilForRestart": "Until Frigate restarts.",
     "untilRestart": "Until restart",
+    "never": "Never",
     "ago": "{{timeAgo}} ago",
     "justNow": "Just now",
     "today": "Today",
@@ -72,7 +73,10 @@
     "formattedTimestampFilename": {
       "12hour": "MM-dd-yy-h-mm-ss-a",
       "24hour": "MM-dd-yy-HH-mm-ss"
-    }
+    },
+    "inProgress": "In progress",
+    "invalidStartTime": "Invalid start time",
+    "invalidEndTime": "Invalid end time"
   },
   "unit": {
     "speed": {
@@ -82,10 +86,33 @@
     "length": {
       "feet": "feet",
       "meters": "meters"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/hour",
+      "mbph": "MB/hour",
+      "gbph": "GB/hour"
     }
   },
   "label": {
-    "back": "Go back"
+    "back": "Go back",
+    "hide": "Hide {{item}}",
+    "show": "Show {{item}}",
+    "ID": "ID",
+    "none": "None",
+    "all": "All",
+    "other": "Other"
+  },
+  "list": {
+    "two": "{{0}} and {{1}}",
+    "many": "{{items}}, and {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "Optional",
+    "internalID": "The Internal ID Frigate uses in the configuration and database"
   },
   "button": {
     "apply": "Apply",
@@ -122,7 +149,8 @@
     "unselect": "Unselect",
     "export": "Export",
     "deleteNow": "Delete Now",
-    "next": "Next"
+    "next": "Next",
+    "continue": "Continue"
   },
   "menu": {
     "system": "System",
@@ -215,6 +243,7 @@
     "export": "Export",
     "uiPlayground": "UI Playground",
     "faceLibrary": "Face Library",
+    "classification": "Classification",
     "user": {
       "title": "User",
       "account": "Account",
diff --git a/web/public/locales/en/components/auth.json b/web/public/locales/en/components/auth.json
index 05c2a779f..56b750070 100644
--- a/web/public/locales/en/components/auth.json
+++ b/web/public/locales/en/components/auth.json
@@ -3,6 +3,7 @@
     "user": "Username",
     "password": "Password",
     "login": "Login",
+    "firstTimeLogin": "Trying to log in for the first time? Credentials are printed in the Frigate logs.",
     "errors": {
       "usernameRequired": "Username is required",
       "passwordRequired": "Password is required",
diff --git a/web/public/locales/en/components/dialog.json b/web/public/locales/en/components/dialog.json
index a64dbf594..a56c2b1da 100644
--- a/web/public/locales/en/components/dialog.json
+++ b/web/public/locales/en/components/dialog.json
@@ -52,7 +52,8 @@
     "export": "Export",
     "selectOrExport": "Select or Export",
     "toast": {
-      "success": "Successfully started export. View the file in the /exports folder.",
+      "success": "Successfully started export. View the file in the exports page.",
+      "view": "View",
       "error": {
         "failed": "Failed to start export: {{error}}",
         "endTimeMustAfterStartTime": "End time must be after start time",
@@ -106,11 +107,13 @@
     "button": {
       "export": "Export",
       "markAsReviewed": "Mark as reviewed",
+      "markAsUnreviewed": "Mark as unreviewed",
       "deleteNow": "Delete Now"
     }
   },
   "imagePicker": {
     "selectImage": "Select a tracked object's thumbnail",
+    "unknownLabel": "Saved Trigger Image",
     "search": {
       "placeholder": "Search by label or sub label..."
     },
diff --git a/web/public/locales/en/components/filter.json b/web/public/locales/en/components/filter.json
index 177234bed..e9ae5c769 100644
--- a/web/public/locales/en/components/filter.json
+++ b/web/public/locales/en/components/filter.json
@@ -38,6 +38,10 @@
     "label": "Sub Labels",
     "all": "All Sub Labels"
   },
+  "attributes": {
+    "label": "Classification Attributes",
+    "all": "All Attributes"
+  },
   "score": "Score",
   "estimatedSpeed": "Estimated Speed ({{unit}})",
   "features": {
diff --git a/web/public/locales/en/config/face_recognition.json b/web/public/locales/en/config/face_recognition.json
index ec6f8929b..705d75468 100644
--- a/web/public/locales/en/config/face_recognition.json
+++ b/web/public/locales/en/config/face_recognition.json
@@ -23,7 +23,7 @@
       "label": "Min face recognitions for the sub label to be applied to the person object."
     },
     "save_attempts": {
-      "label": "Number of face attempts to save in the train tab."
+      "label": "Number of face attempts to save in the recent recognitions tab."
     },
     "blur_confidence_filter": {
       "label": "Apply blur quality filter to face confidence."
diff --git a/web/public/locales/en/config/genai.json b/web/public/locales/en/config/genai.json
index 084b921c2..fed679d9e 100644
--- a/web/public/locales/en/config/genai.json
+++ b/web/public/locales/en/config/genai.json
@@ -15,6 +15,9 @@
     },
     "provider_options": {
       "label": "GenAI Provider extra options."
+    },
+    "runtime_options": {
+      "label": "Options to pass during inference calls."
     }
   }
-}
\ No newline at end of file
+}
diff --git a/web/public/locales/en/config/review.json b/web/public/locales/en/config/review.json
index a44c2cfa9..dba83ee1c 100644
--- a/web/public/locales/en/config/review.json
+++ b/web/public/locales/en/config/review.json
@@ -71,4 +71,4 @@
       }
     }
   }
-}
\ No newline at end of file
+}
diff --git a/web/public/locales/en/config/ui.json b/web/public/locales/en/config/ui.json
index fec0a9528..cdd91cb53 100644
--- a/web/public/locales/en/config/ui.json
+++ b/web/public/locales/en/config/ui.json
@@ -13,11 +13,8 @@
     "time_style": {
       "label": "Override UI timeStyle."
     },
-    "strftime_fmt": {
-      "label": "Override date and time format using strftime syntax."
-    },
     "unit_system": {
       "label": "The unit system to use for measurements."
     }
   }
-}
\ No newline at end of file
+}
diff --git a/web/public/locales/en/views/classificationModel.json b/web/public/locales/en/views/classificationModel.json
index 47b2b13bf..a07114b5c 100644
--- a/web/public/locales/en/views/classificationModel.json
+++ b/web/public/locales/en/views/classificationModel.json
@@ -1,53 +1,187 @@
 {
+  "documentTitle": "Classification Models - Frigate",
+  "details": {
+    "scoreInfo": "Score represents the average classification confidence across all detections of this object.",
+    "none": "None",
+    "unknown": "Unknown"
+  },
   "button": {
     "deleteClassificationAttempts": "Delete Classification Images",
     "renameCategory": "Rename Class",
     "deleteCategory": "Delete Class",
     "deleteImages": "Delete Images",
-    "trainModel": "Train Model"
+    "trainModel": "Train Model",
+    "addClassification": "Add Classification",
+    "deleteModels": "Delete Models",
+    "editModel": "Edit Model"
+  },
+  "tooltip": {
+    "trainingInProgress": "Model is currently training",
+    "noNewImages": "No new images to train. Classify more images in the dataset first.",
+    "noChanges": "No changes to the dataset since last training.",
+    "modelNotReady": "Model is not ready for training"
   },
   "toast": {
     "success": {
       "deletedCategory": "Deleted Class",
       "deletedImage": "Deleted Images",
+      "deletedModel_one": "Successfully deleted {{count}} model",
+      "deletedModel_other": "Successfully deleted {{count}} models",
       "categorizedImage": "Successfully Classified Image",
       "trainedModel": "Successfully trained model.",
-      "trainingModel": "Successfully started model training."
+      "trainingModel": "Successfully started model training.",
+      "updatedModel": "Successfully updated model configuration",
+      "renamedCategory": "Successfully renamed class to {{name}}"
     },
     "error": {
       "deleteImageFailed": "Failed to delete: {{errorMessage}}",
       "deleteCategoryFailed": "Failed to delete class: {{errorMessage}}",
+      "deleteModelFailed": "Failed to delete model: {{errorMessage}}",
       "categorizeFailed": "Failed to categorize image: {{errorMessage}}",
-      "trainingFailed": "Failed to start model training: {{errorMessage}}"
+      "trainingFailed": "Model training failed. Check Frigate logs for details.",
+      "trainingFailedToStart": "Failed to start model training: {{errorMessage}}",
+      "updateModelFailed": "Failed to update model: {{errorMessage}}",
+      "renameCategoryFailed": "Failed to rename class: {{errorMessage}}"
     }
   },
   "deleteCategory": {
     "title": "Delete Class",
-    "desc": "Are you sure you want to delete the class {{name}}? This will permanently delete all associated images and require re-training the model."
+    "desc": "Are you sure you want to delete the class {{name}}? This will permanently delete all associated images and require re-training the model.",
+    "minClassesTitle": "Cannot Delete Class",
+    "minClassesDesc": "A classification model must have at least 2 classes. Add another class before deleting this one."
+  },
+  "deleteModel": {
+    "title": "Delete Classification Model",
+    "single": "Are you sure you want to delete {{name}}? This will permanently delete all associated data including images and training data. This action cannot be undone.",
+    "desc_one": "Are you sure you want to delete {{count}} model? This will permanently delete all associated data including images and training data. This action cannot be undone.",
+    "desc_other": "Are you sure you want to delete {{count}} models? This will permanently delete all associated data including images and training data. This action cannot be undone."
+  },
+  "edit": {
+    "title": "Edit Classification Model",
+    "descriptionState": "Edit the classes for this state classification model. Changes will require retraining the model.",
+    "descriptionObject": "Edit the object type and classification type for this object classification model.",
+    "stateClassesInfo": "Note: Changing state classes requires retraining the model with the updated classes."
   },
   "deleteDatasetImages": {
     "title": "Delete Dataset Images",
-    "desc": "Are you sure you want to delete {{count}} images from {{dataset}}? This action cannot be undone and will require re-training the model."
+    "desc_one": "Are you sure you want to delete {{count}} image from {{dataset}}? This action cannot be undone and will require re-training the model.",
+    "desc_other": "Are you sure you want to delete {{count}} images from {{dataset}}? This action cannot be undone and will require re-training the model."
   },
   "deleteTrainImages": {
     "title": "Delete Train Images",
-    "desc": "Are you sure you want to delete {{count}} images? This action cannot be undone."
+    "desc_one": "Are you sure you want to delete {{count}} image? This action cannot be undone.",
+    "desc_other": "Are you sure you want to delete {{count}} images? This action cannot be undone."
   },
   "renameCategory": {
     "title": "Rename Class",
-    "desc": "Enter a new name for {{name}}. You will be required to retrain the model for the name change to take affect."
+    "desc": "Enter a new name for {{name}}. You will be required to retrain the model for the name change to take effect."
   },
   "description": {
     "invalidName": "Invalid name. Names can only include letters, numbers, spaces, apostrophes, underscores, and hyphens."
   },
   "train": {
-    "title": "Train",
-    "aria": "Select Train"
+    "title": "Recent Classifications",
+    "titleShort": "Recent",
+    "aria": "Select Recent Classifications"
   },
   "categories": "Classes",
   "createCategory": {
     "new": "Create New Class"
   },
   "categorizeImageAs": "Classify Image As:",
-  "categorizeImage": "Classify Image"
+  "categorizeImage": "Classify Image",
+  "menu": {
+    "objects": "Objects",
+    "states": "States"
+  },
+  "noModels": {
+    "object": {
+      "title": "No Object Classification Models",
+      "description": "Create a custom model to classify detected objects.",
+      "buttonText": "Create Object Model"
+    },
+    "state": {
+      "title": "No State Classification Models",
+      "description": "Create a custom model to monitor and classify state changes in specific camera areas.",
+      "buttonText": "Create State Model"
+    }
+  },
+  "wizard": {
+    "title": "Create New Classification",
+    "steps": {
+      "nameAndDefine": "Name & Define",
+      "stateArea": "State Area",
+      "chooseExamples": "Choose Examples"
+    },
+    "step1": {
+      "description": "State models monitor fixed camera areas for changes (e.g., door open/closed). Object models add classifications to detected objects (e.g., known animals, delivery persons, etc.).",
+      "name": "Name",
+      "namePlaceholder": "Enter model name...",
+      "type": "Type",
+      "typeState": "State",
+      "typeObject": "Object",
+      "objectLabel": "Object Label",
+      "objectLabelPlaceholder": "Select object type...",
+      "classificationType": "Classification Type",
+      "classificationTypeTip": "Learn about classification types",
+      "classificationTypeDesc": "Sub Labels add additional text to the object label (e.g., 'Person: UPS'). Attributes are searchable metadata stored separately in the object metadata.",
+      "classificationSubLabel": "Sub Label",
+      "classificationAttribute": "Attribute",
+      "classes": "Classes",
+      "states": "States",
+      "classesTip": "Learn about classes",
+      "classesStateDesc": "Define the different states your camera area can be in. For example: 'open' and 'closed' for a garage door.",
+      "classesObjectDesc": "Define the different categories to classify detected objects into. For example: 'delivery_person', 'resident', 'stranger' for person classification.",
+      "classPlaceholder": "Enter class name...",
+      "errors": {
+        "nameRequired": "Model name is required",
+        "nameLength": "Model name must be 64 characters or less",
+        "nameOnlyNumbers": "Model name cannot contain only numbers",
+        "classRequired": "At least 1 class is required",
+        "classesUnique": "Class names must be unique",
+        "noneNotAllowed": "The class 'none' is not allowed",
+        "stateRequiresTwoClasses": "State models require at least 2 classes",
+        "objectLabelRequired": "Please select an object label",
+        "objectTypeRequired": "Please select a classification type"
+      }
+    },
+    "step2": {
+      "description": "Select cameras and define the area to monitor for each camera. The model will classify the state of these areas.",
+      "cameras": "Cameras",
+      "selectCamera": "Select Camera",
+      "noCameras": "Click + to add cameras",
+      "selectCameraPrompt": "Select a camera from the list to define its monitoring area"
+    },
+    "step3": {
+      "selectImagesPrompt": "Select all images with: {{className}}",
+      "selectImagesDescription": "Click on images to select them. Click Continue when you're done with this class.",
+      "allImagesRequired_one": "Please classify all images. {{count}} image remaining.",
+      "allImagesRequired_other": "Please classify all images. {{count}} images remaining.",
+      "generating": {
+        "title": "Generating Sample Images",
+        "description": "Frigate is pulling representative images from your recordings. This may take a moment..."
+      },
+      "training": {
+        "title": "Training Model",
+        "description": "Your model is being trained in the background. Close this dialog, and your model will start running as soon as training is complete."
+      },
+      "retryGenerate": "Retry Generation",
+      "noImages": "No sample images generated",
+      "classifying": "Classifying & Training...",
+      "trainingStarted": "Training started successfully",
+      "modelCreated": "Model created successfully. Use the Recent Classifications view to add images for missing states, then train the model.",
+      "errors": {
+        "noCameras": "No cameras configured",
+        "noObjectLabel": "No object label selected",
+        "generateFailed": "Failed to generate examples: {{error}}",
+        "generationFailed": "Generation failed. Please try again.",
+        "classifyFailed": "Failed to classify images: {{error}}"
+      },
+      "generateSuccess": "Successfully generated sample images",
+      "missingStatesWarning": {
+        "title": "Missing State Examples",
+        "description": "It's recommended to select examples for all states for best results. You can continue without selecting all states, but the model will not be trained until all states have images. After continuing, use the Recent Classifications view to classify images for the missing states, then train the model."
+      }
+    }
+  }
 }
diff --git a/web/public/locales/en/views/events.json b/web/public/locales/en/views/events.json
index 77c626adf..ea3ee853d 100644
--- a/web/public/locales/en/views/events.json
+++ b/web/public/locales/en/views/events.json
@@ -9,15 +9,38 @@
   "empty": {
     "alert": "There are no alerts to review",
     "detection": "There are no detections to review",
-    "motion": "No motion data found"
+    "motion": "No motion data found",
+    "recordingsDisabled": {
+      "title": "Recordings must be enabled",
+      "description": "Review items can only be created for a camera when recordings are enabled for that camera."
+    }
   },
   "timeline": "Timeline",
   "timeline.aria": "Select timeline",
+  "zoomIn": "Zoom In",
+  "zoomOut": "Zoom Out",
   "events": {
     "label": "Events",
     "aria": "Select events",
     "noFoundForTimePeriod": "No events found for this time period."
   },
+  "detail": {
+    "label": "Detail",
+    "noDataFound": "No detail data to review",
+    "aria": "Toggle detail view",
+    "trackedObject_one": "{{count}} object",
+    "trackedObject_other": "{{count}} objects",
+    "noObjectDetailData": "No object detail data available.",
+    "settings": "Detail View Settings",
+    "alwaysExpandActive": {
+      "title": "Always expand active",
+      "desc": "Always expand the active review item's object details when available."
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Tracked point",
+    "clickToSeek": "Click to seek to this time"
+  },
   "documentTitle": "Review - Frigate",
   "recordings": {
     "documentTitle": "Recordings - Frigate"
@@ -33,8 +56,10 @@
   },
   "selected_one": "{{count}} selected",
   "selected_other": "{{count}} selected",
+  "select_all": "All",
   "camera": "Camera",
   "detected": "detected",
-  "suspiciousActivity": "Suspicious Activity",
-  "threateningActivity": "Threatening Activity"
+  "normalActivity": "Normal",
+  "needsReview": "Needs review",
+  "securityConcern": "Security concern"
 }
diff --git a/web/public/locales/en/views/explore.json b/web/public/locales/en/views/explore.json
index f35cfdc1d..53b04e6c4 100644
--- a/web/public/locales/en/views/explore.json
+++ b/web/public/locales/en/views/explore.json
@@ -33,15 +33,16 @@
   "type": {
     "details": "details",
     "snapshot": "snapshot",
+    "thumbnail": "thumbnail",
     "video": "video",
-    "object_lifecycle": "object lifecycle"
+    "tracking_details": "tracking details"
   },
-  "objectLifecycle": {
-    "title": "Object Lifecycle",
+  "trackingDetails": {
+    "title": "Tracking Details",
     "noImageFound": "No image found for this timestamp.",
     "createObjectMask": "Create Object Mask",
     "adjustAnnotationSettings": "Adjust annotation settings",
-    "scrollViewTips": "Scroll to view the significant moments of this object's lifecycle.",
+    "scrollViewTips": "Click to view the significant moments of this object's lifecycle.",
     "autoTrackingTips": "Bounding box positions will be inaccurate for autotracking cameras.",
     "count": "{{first}} of {{second}}",
     "trackedPoint": "Tracked Point",
@@ -60,7 +61,8 @@
       "header": {
         "zones": "Zones",
         "ratio": "Ratio",
-        "area": "Area"
+        "area": "Area",
+        "score": "Score"
       }
     },
     "annotationSettings": {
@@ -71,11 +73,11 @@
       },
       "offset": {
         "label": "Annotation Offset",
-        "desc": "This data comes from your camera's detect feed but is overlayed on images from the the record feed. It is unlikely that the two streams are perfectly in sync. As a result, the bounding box and the footage will not line up perfectly. However, the <code>annotation_offset</code> field can be used to adjust this.",
+        "desc": "This data comes from your camera's detect feed but is overlayed on images from the the record feed. It is unlikely that the two streams are perfectly in sync. As a result, the bounding box and the footage will not line up perfectly. You can use this setting to offset the annotations forward or backward in time to better align them with the recorded footage.",
         "millisecondsToOffset": "Milliseconds to offset detect annotations by. <em>Default: 0</em>",
-        "tips": "TIP: Imagine there is an event clip with a person walking from left to right. If the event timeline bounding box is consistently to the left of the person then the value should be decreased. Similarly, if a person is walking from left to right and the bounding box is consistently ahead of the person then the value should be increased.",
+        "tips": "Lower the value if the video playback is ahead of the boxes and path points, and increase the value if the video playback is behind them. This value can be negative.",
         "toast": {
-          "success": "Annotation offset for {{camera}} has been saved to the config file. Restart Frigate to apply your changes."
+          "success": "Annotation offset for {{camera}} has been saved to the config file."
         }
       }
     },
@@ -102,12 +104,14 @@
           "regenerate": "A new description has been requested from {{provider}}. Depending on the speed of your provider, the new description may take some time to regenerate.",
           "updatedSublabel": "Successfully updated sub label.",
           "updatedLPR": "Successfully updated license plate.",
-          "audioTranscription": "Successfully requested audio transcription."
+          "updatedAttributes": "Successfully updated attributes.",
+          "audioTranscription": "Successfully requested audio transcription. Depending on the speed of your Frigate server, the transcription may take some time to complete."
         },
         "error": {
           "regenerate": "Failed to call {{provider}} for a new description: {{errorMessage}}",
           "updatedSublabelFailed": "Failed to update sub label: {{errorMessage}}",
           "updatedLPRFailed": "Failed to update license plate: {{errorMessage}}",
+          "updatedAttributesFailed": "Failed to update attributes: {{errorMessage}}",
           "audioTranscription": "Failed to request audio transcription: {{errorMessage}}"
         }
       }
@@ -123,6 +127,10 @@
       "desc": "Enter a new license plate value for this {{label}}",
       "descNoLabel": "Enter a new license plate value for this tracked object"
     },
+    "editAttributes": {
+      "title": "Edit attributes",
+      "desc": "Select classification attributes for this {{label}}"
+    },
     "snapshotScore": {
       "label": "Snapshot Score"
     },
@@ -134,6 +142,7 @@
       "label": "Score"
     },
     "recognizedLicensePlate": "Recognized License Plate",
+    "attributes": "Classification Attributes",
     "estimatedSpeed": "Estimated Speed",
     "objects": "Objects",
     "camera": "Camera",
@@ -157,6 +166,9 @@
     "tips": {
       "descriptionSaved": "Successfully saved description",
       "saveDescriptionFailed": "Failed to update the description: {{errorMessage}}"
+    },
+    "title": {
+      "label": "Title"
     }
   },
   "itemMenu": {
@@ -168,9 +180,13 @@
       "label": "Download snapshot",
       "aria": "Download snapshot"
     },
-    "viewObjectLifecycle": {
-      "label": "View object lifecycle",
-      "aria": "Show the object lifecycle"
+    "downloadCleanSnapshot": {
+      "label": "Download clean snapshot",
+      "aria": "Download clean snapshot"
+    },
+    "viewTrackingDetails": {
+      "label": "View tracking details",
+      "aria": "Show the tracking details"
     },
     "findSimilar": {
       "label": "Find similar",
@@ -194,12 +210,18 @@
     },
     "deleteTrackedObject": {
       "label": "Delete this tracked object"
+    },
+    "showObjectDetails": {
+      "label": "Show object path"
+    },
+    "hideObjectDetails": {
+      "label": "Hide object path"
     }
   },
   "dialog": {
     "confirmDelete": {
       "title": "Confirm Delete",
-      "desc": "Deleting this tracked object removes the snapshot, any saved embeddings, and any associated object lifecycle entries. Recorded footage of this tracked object in History view will <em>NOT</em> be deleted.<br /><br />Are you sure you want to proceed?"
+      "desc": "Deleting this tracked object removes the snapshot, any saved embeddings, and any associated tracking details entries. Recorded footage of this tracked object in History view will <em>NOT</em> be deleted.<br /><br />Are you sure you want to proceed?"
     }
   },
   "noTrackedObjects": "No Tracked Objects Found",
@@ -208,6 +230,8 @@
   "trackedObjectsCount_other": "{{count}} tracked objects ",
   "searchResult": {
     "tooltip": "Matched {{type}} at {{confidence}}%",
+    "previousTrackedObject": "Previous tracked object",
+    "nextTrackedObject": "Next tracked object",
     "deleteTrackedObject": {
       "toast": {
         "success": "Tracked object deleted successfully.",
diff --git a/web/public/locales/en/views/exports.json b/web/public/locales/en/views/exports.json
index 729899443..4a79d20e1 100644
--- a/web/public/locales/en/views/exports.json
+++ b/web/public/locales/en/views/exports.json
@@ -9,6 +9,12 @@
     "desc": "Enter a new name for this export.",
     "saveExport": "Save Export"
   },
+  "tooltip": {
+    "shareExport": "Share export",
+    "downloadVideo": "Download video",
+    "editName": "Edit name",
+    "deleteExport": "Delete export"
+  },
   "toast": {
     "error": {
       "renameExportFailed": "Failed to rename export: {{errorMessage}}"
diff --git a/web/public/locales/en/views/faceLibrary.json b/web/public/locales/en/views/faceLibrary.json
index 3a0804511..2dbb1a4fd 100644
--- a/web/public/locales/en/views/faceLibrary.json
+++ b/web/public/locales/en/views/faceLibrary.json
@@ -1,16 +1,13 @@
 {
   "description": {
-    "addFace": "Walk through adding a new collection to the Face Library.",
+    "addFace": "Add a new collection to the Face Library by uploading your first image.",
     "placeholder": "Enter a name for this collection",
     "invalidName": "Invalid name. Names can only include letters, numbers, spaces, apostrophes, underscores, and hyphens."
   },
   "details": {
-    "subLabelScore": "Sub Label Score",
-    "scoreInfo": "The sub label score is the weighted score for all of the recognized face confidences, so this may differ from the score shown on the snapshot.",
-    "face": "Face Details",
-    "faceDesc": "Details of the tracked object that generated this face",
     "timestamp": "Timestamp",
-    "unknown": "Unknown"
+    "unknown": "Unknown",
+    "scoreInfo": "Score is a weighted average of all face scores, weighted by the size of the face in each image."
   },
   "documentTitle": "Face Library - Frigate",
   "uploadFaceImage": {
@@ -19,10 +16,8 @@
   },
   "collections": "Collections",
   "createFaceLibrary": {
-    "title": "Create Collection",
-    "desc": "Create a new collection",
     "new": "Create New Face",
-    "nextSteps": "To build a strong foundation:<li>Use the Train tab to select and train on images for each detected person.</li><li>Focus on straight-on images for best results; avoid training images that capture faces at an angle.</li></ul>"
+    "nextSteps": "To build a strong foundation:<li>Use the Recent Recognitions tab to select and train on images for each detected person.</li><li>Focus on straight-on images for best results; avoid training images that capture faces at an angle.</li></ul>"
   },
   "steps": {
     "faceName": "Enter Face Name",
@@ -33,12 +28,11 @@
     }
   },
   "train": {
-    "title": "Train",
-    "aria": "Select train",
+    "title": "Recent Recognitions",
+    "titleShort": "Recent",
+    "aria": "Select recent recognitions",
     "empty": "There are no recent face recognition attempts"
   },
-  "selectItem": "Select {{item}}",
-  "selectFace": "Select Face",
   "deleteFaceLibrary": {
     "title": "Delete Name",
     "desc": "Are you sure you want to delete the collection {{name}}? This will permanently delete all associated faces."
@@ -69,7 +63,6 @@
     "maxSize": "Max size: {{size}}MB"
   },
   "nofaces": "No faces available",
-  "pixels": "{{area}}px",
   "trainFaceAs": "Train Face as:",
   "trainFace": "Train Face",
   "toast": {
@@ -83,7 +76,7 @@
       "deletedName_other": "{{count}} faces have been successfully deleted.",
       "renamedFace": "Successfully renamed face to {{name}}",
       "trainedFace": "Successfully trained face.",
-      "updatedFaceScore": "Successfully updated face score."
+      "updatedFaceScore": "Successfully updated face score to {{name}} ({{score}})."
     },
     "error": {
       "uploadingImageFailed": "Failed to upload image: {{errorMessage}}",
diff --git a/web/public/locales/en/views/live.json b/web/public/locales/en/views/live.json
index 92c4cfbd8..c2efef84f 100644
--- a/web/public/locales/en/views/live.json
+++ b/web/public/locales/en/views/live.json
@@ -73,6 +73,12 @@
     "enable": "Enable Snapshots",
     "disable": "Disable Snapshots"
   },
+  "snapshot": {
+    "takeSnapshot": "Download instant snapshot",
+    "noVideoSource": "No video source available for snapshot.",
+    "captureFailed": "Failed to capture snapshot.",
+    "downloadStarted": "Snapshot download started."
+  },
   "audioDetect": {
     "enable": "Enable Audio Detect",
     "disable": "Disable Audio Detect"
@@ -90,8 +96,8 @@
     "disable": "Hide Stream Stats"
   },
   "manualRecording": {
-    "title": "On-Demand Recording",
-    "tips": "Start a manual event based on this camera's recording retention settings.",
+    "title": "On-Demand",
+    "tips": "Download an instant snapshot or start a manual event based on this camera's recording retention settings.",
     "playInBackground": {
       "label": "Play in background",
       "desc": "Enable this option to continue streaming when the player is hidden."
@@ -159,8 +165,7 @@
       "all": "All",
       "motion": "Motion",
       "active_objects": "Active Objects"
-    },
-    "notAllTips": "Your {{source}} recording retention configuration is set to <code>mode: {{effectiveRetainMode}}</code>, so this on-demand recording will only keep segments with {{effectiveRetainModeName}}."
+    }
   },
   "editLayout": {
     "label": "Edit Layout",
@@ -170,8 +175,22 @@
     "exitEdit": "Exit Editing"
   },
   "noCameras": {
-    "title": "No Cameras Set Up",
-    "description": "Get started by connecting a camera.",
-    "buttonText": "Add Camera"
+    "title": "No Cameras Configured",
+    "description": "Get started by connecting a camera to Frigate.",
+    "buttonText": "Add Camera",
+    "restricted": {
+      "title": "No Cameras Available",
+      "description": "You don't have permission to view any cameras in this group."
+    },
+    "default": {
+      "title": "No Cameras Configured",
+      "description": "Get started by connecting a camera to Frigate.",
+      "buttonText": "Add Camera"
+    },
+    "group": {
+      "title": "No Cameras in Group",
+      "description": "This camera group has no assigned or enabled cameras.",
+      "buttonText": "Manage Groups"
+    }
   }
 }
diff --git a/web/public/locales/en/views/search.json b/web/public/locales/en/views/search.json
index 22da7721f..dae622c70 100644
--- a/web/public/locales/en/views/search.json
+++ b/web/public/locales/en/views/search.json
@@ -16,6 +16,7 @@
       "labels": "Labels",
       "zones": "Zones",
       "sub_labels": "Sub Labels",
+      "attributes": "Attributes",
       "search_type": "Search Type",
       "time_range": "Time Range",
       "before": "Before",
diff --git a/web/public/locales/en/views/settings.json b/web/public/locales/en/views/settings.json
index 912d4f693..9f211a442 100644
--- a/web/public/locales/en/views/settings.json
+++ b/web/public/locales/en/views/settings.json
@@ -2,19 +2,21 @@
   "documentTitle": {
     "default": "Settings - Frigate",
     "authentication": "Authentication Settings - Frigate",
-    "camera": "Camera Settings - Frigate",
+    "cameraManagement": "Manage Cameras - Frigate",
+    "cameraReview": "Camera Review Settings - Frigate",
     "enrichments": "Enrichments Settings - Frigate",
     "masksAndZones": "Mask and Zone Editor - Frigate",
     "motionTuner": "Motion Tuner - Frigate",
     "object": "Debug - Frigate",
-    "general": "General Settings - Frigate",
+    "general": "UI Settings - Frigate",
     "frigatePlus": "Frigate+ Settings - Frigate",
     "notifications": "Notification Settings - Frigate"
   },
   "menu": {
     "ui": "UI",
     "enrichments": "Enrichments",
-    "cameras": "Camera Settings",
+    "cameraManagement": "Management",
+    "cameraReview": "Review",
     "masksAndZones": "Masks / Zones",
     "motionTuner": "Motion Tuner",
     "triggers": "Triggers",
@@ -35,7 +37,7 @@
     "noCamera": "No Camera"
   },
   "general": {
-    "title": "General Settings",
+    "title": "UI Settings",
     "liveDashboard": {
       "title": "Live Dashboard",
       "automaticLiveView": {
@@ -45,6 +47,14 @@
       "playAlertVideos": {
         "label": "Play Alert Videos",
         "desc": "By default, recent alerts on the Live dashboard play as small looping videos. Disable this option to only show a static image of recent alerts on this device/browser."
+      },
+      "displayCameraNames": {
+        "label": "Always Show Camera Names",
+        "desc": "Always show the camera names in a chip in the multi-camera live view dashboard."
+      },
+      "liveFallbackTimeout": {
+        "label": "Live Player Fallback Timeout",
+        "desc": "When a camera's high quality live stream is unavailable, fall back to low bandwidth mode after this many seconds. Default: 3."
       }
     },
     "storedLayouts": {
@@ -143,19 +153,244 @@
       "error": "Failed to save config changes: {{errorMessage}}"
     }
   },
-  "camera": {
-    "title": "Camera Settings",
+  "cameraWizard": {
+    "title": "Add Camera",
+    "description": "Follow the steps below to add a new camera to your Frigate installation.",
+    "steps": {
+      "nameAndConnection": "Name & Connection",
+      "probeOrSnapshot": "Probe or Snapshot",
+      "streamConfiguration": "Stream Configuration",
+      "validationAndTesting": "Validation & Testing"
+    },
+    "save": {
+      "success": "Successfully saved new camera {{cameraName}}.",
+      "failure": "Error saving {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Resolution",
+      "video": "Video",
+      "audio": "Audio",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Please provide a valid stream URL",
+      "testFailed": "Stream test failed: {{error}}"
+    },
+    "step1": {
+      "description": "Enter your camera details and choose to probe the camera or manually select the brand.",
+      "cameraName": "Camera Name",
+      "cameraNamePlaceholder": "e.g., front_door or Back Yard Overview",
+      "host": "Host/IP Address",
+      "port": "Port",
+      "username": "Username",
+      "usernamePlaceholder": "Optional",
+      "password": "Password",
+      "passwordPlaceholder": "Optional",
+      "selectTransport": "Select transport protocol",
+      "cameraBrand": "Camera Brand",
+      "selectBrand": "Select camera brand for URL template",
+      "customUrl": "Custom Stream URL",
+      "brandInformation": "Brand information",
+      "brandUrlFormat": "For cameras with the RTSP URL format as: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://username:password@host:port/path",
+      "connectionSettings": "Connection Settings",
+      "detectionMethod": "Stream Detection Method",
+      "onvifPort": "ONVIF Port",
+      "probeMode": "Probe camera",
+      "manualMode": "Manual selection",
+      "detectionMethodDescription": "Probe the camera with ONVIF (if supported) to find camera stream URLs, or manually select the camera brand to use pre-defined URLs. To enter a custom RTSP URL, choose the manual method and select \"Other\".",
+      "onvifPortDescription": "For cameras that support ONVIF, this is usually 80 or 8080.",
+      "useDigestAuth": "Use digest authentication",
+      "useDigestAuthDescription": "Use HTTP digest authentication for ONVIF. Some cameras may require a dedicated ONVIF username/password instead of the standard admin user.",
+      "errors": {
+        "brandOrCustomUrlRequired": "Either select a camera brand with host/IP or choose 'Other' with a custom URL",
+        "nameRequired": "Camera name is required",
+        "nameLength": "Camera name must be 64 characters or less",
+        "invalidCharacters": "Camera name contains invalid characters",
+        "nameExists": "Camera name already exists",
+        "customUrlRtspRequired": "Custom URLs must begin with \"rtsp://\". Manual configuration is required for non-RTSP camera streams."
+      }
+    },
+    "step2": {
+      "description": "Probe the camera for available streams or configure manual settings based on your selected detection method.",
+      "testSuccess": "Connection test successful!",
+      "testFailed": "Connection test failed. Please check your input and try again.",
+      "testFailedTitle": "Test Failed",
+      "streamDetails": "Stream Details",
+      "probing": "Probing camera...",
+      "retry": "Retry",
+      "testing": {
+        "probingMetadata": "Probing camera metadata...",
+        "fetchingSnapshot": "Fetching camera snapshot..."
+      },
+      "probeFailed": "Failed to probe camera: {{error}}",
+      "probingDevice": "Probing device...",
+      "probeSuccessful": "Probe successful",
+      "probeError": "Probe Error",
+      "probeNoSuccess": "Probe unsuccessful",
+      "deviceInfo": "Device Information",
+      "manufacturer": "Manufacturer",
+      "model": "Model",
+      "firmware": "Firmware",
+      "profiles": "Profiles",
+      "ptzSupport": "PTZ Support",
+      "autotrackingSupport": "Autotracking Support",
+      "presets": "Presets",
+      "rtspCandidates": "RTSP Candidates",
+      "rtspCandidatesDescription": "The following RTSP URLs were found from the camera probe. Test the connection to view stream metadata.",
+      "noRtspCandidates": "No RTSP URLs were found from the camera. Your credentials may be incorrect, or the camera may not support ONVIF or the method used to retrieve RTSP URLs. Go back and enter the RTSP URL manually.",
+      "candidateStreamTitle": "Candidate {{number}}",
+      "useCandidate": "Use",
+      "uriCopy": "Copy",
+      "uriCopied": "URI copied to clipboard",
+      "testConnection": "Test Connection",
+      "toggleUriView": "Click to toggle full URI view",
+      "connected": "Connected",
+      "notConnected": "Not Connected",
+      "errors": {
+        "hostRequired": "Host/IP address is required"
+      }
+    },
+    "step3": {
+      "description": "Configure stream roles and add additional streams for your camera.",
+      "streamsTitle": "Camera Streams",
+      "addStream": "Add Stream",
+      "addAnotherStream": "Add Another Stream",
+      "streamTitle": "Stream {{number}}",
+      "streamUrl": "Stream URL",
+      "streamUrlPlaceholder": "rtsp://username:password@host:port/path",
+      "selectStream": "Select a stream",
+      "searchCandidates": "Search candidates...",
+      "noStreamFound": "No stream found",
+      "url": "URL",
+      "resolution": "Resolution",
+      "selectResolution": "Select resolution",
+      "quality": "Quality",
+      "selectQuality": "Select quality",
+      "roles": "Roles",
+      "roleLabels": {
+        "detect": "Object Detection",
+        "record": "Recording",
+        "audio": "Audio"
+      },
+      "testStream": "Test Connection",
+      "testSuccess": "Stream test successful!",
+      "testFailed": "Stream test failed",
+      "testFailedTitle": "Test Failed",
+      "connected": "Connected",
+      "notConnected": "Not Connected",
+      "featuresTitle": "Features",
+      "go2rtc": "Reduce connections to camera",
+      "detectRoleWarning": "At least one stream must have the \"detect\" role to proceed.",
+      "rolesPopover": {
+        "title": "Stream Roles",
+        "detect": "Main feed for object detection.",
+        "record": "Saves segments of the video feed based on configuration settings.",
+        "audio": "Feed for audio based detection."
+      },
+      "featuresPopover": {
+        "title": "Stream Features",
+        "description": "Use go2rtc restreaming to reduce connections to your camera."
+      }
+    },
+    "step4": {
+      "description": "Final validation and analysis before saving your new camera. Connect each stream before saving.",
+      "validationTitle": "Stream Validation",
+      "connectAllStreams": "Connect All Streams",
+      "reconnectionSuccess": "Reconnection successful.",
+      "reconnectionPartial": "Some streams failed to reconnect.",
+      "streamUnavailable": "Stream preview unavailable",
+      "reload": "Reload",
+      "connecting": "Connecting...",
+      "streamTitle": "Stream {{number}}",
+      "valid": "Valid",
+      "failed": "Failed",
+      "notTested": "Not tested",
+      "connectStream": "Connect",
+      "connectingStream": "Connecting",
+      "disconnectStream": "Disconnect",
+      "estimatedBandwidth": "Estimated Bandwidth",
+      "roles": "Roles",
+      "ffmpegModule": "Use stream compatibility mode",
+      "ffmpegModuleDescription": "If the stream does not load after several attempts, try enabling this. When enabled, Frigate will use the ffmpeg module with go2rtc. This may provide better compatibility with some camera streams.",
+      "none": "None",
+      "error": "Error",
+      "streamValidated": "Stream {{number}} validated successfully",
+      "streamValidationFailed": "Stream {{number}} validation failed",
+      "saveAndApply": "Save New Camera",
+      "saveError": "Invalid configuration. Please check your settings.",
+      "issues": {
+        "title": "Stream Validation",
+        "videoCodecGood": "Video codec is {{codec}}.",
+        "audioCodecGood": "Audio codec is {{codec}}.",
+        "resolutionHigh": "A resolution of {{resolution}} may cause increased resource usage.",
+        "resolutionLow": "A resolution of {{resolution}} may be too low for reliable detection of small objects.",
+        "noAudioWarning": "No audio detected for this stream, recordings will not have audio.",
+        "audioCodecRecordError": "The AAC audio codec is required to support audio in recordings.",
+        "audioCodecRequired": "An audio stream is required to support audio detection.",
+        "restreamingWarning": "Reducing connections to the camera for the record stream may increase CPU usage slightly.",
+        "brands": {
+          "reolink-rtsp": "Reolink RTSP is not recommended. Enable HTTP in the camera's firmware settings and restart the wizard.",
+          "reolink-http": "Reolink HTTP streams should use FFmpeg for better compatibility. Enable 'Use stream compatibility mode' for this stream."
+        },
+        "dahua": {
+          "substreamWarning": "Substream 1 is locked to a low resolution. Many Dahua / Amcrest / EmpireTech cameras support additional substreams that need to be enabled in the camera's settings. It is recommended to check and utilize those streams if available."
+        },
+        "hikvision": {
+          "substreamWarning": "Substream 1 is locked to a low resolution. Many Hikvision cameras support additional substreams that need to be enabled in the camera's settings. It is recommended to check and utilize those streams if available."
+        }
+      }
+    }
+  },
+  "cameraManagement": {
+    "title": "Manage Cameras",
+    "addCamera": "Add New Camera",
+    "editCamera": "Edit Camera:",
+    "selectCamera": "Select a Camera",
+    "backToSettings": "Back to Camera Settings",
     "streams": {
-      "title": "Streams",
+      "title": "Enable / Disable Cameras",
       "desc": "Temporarily disable a camera until Frigate restarts. Disabling a camera completely stops Frigate's processing of this camera's streams. Detection, recording, and debugging will be unavailable.<br /> <em>Note: This does not disable go2rtc restreams.</em>"
     },
+    "cameraConfig": {
+      "add": "Add Camera",
+      "edit": "Edit Camera",
+      "description": "Configure camera settings including stream inputs and roles.",
+      "name": "Camera Name",
+      "nameRequired": "Camera name is required",
+      "nameLength": "Camera name must be less than 64 characters.",
+      "namePlaceholder": "e.g., front_door or Back Yard Overview",
+      "enabled": "Enabled",
+      "ffmpeg": {
+        "inputs": "Input Streams",
+        "path": "Stream Path",
+        "pathRequired": "Stream path is required",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "Roles",
+        "rolesRequired": "At least one role is required",
+        "rolesUnique": "Each role (audio, detect, record) can only be assigned to one stream",
+        "addInput": "Add Input Stream",
+        "removeInput": "Remove Input Stream",
+        "inputsRequired": "At least one input stream is required"
+      },
+      "go2rtcStreams": "go2rtc Streams",
+      "streamUrls": "Stream URLs",
+      "addUrl": "Add URL",
+      "addGo2rtcStream": "Add go2rtc Stream",
+      "toast": {
+        "success": "Camera {{cameraName}} saved successfully"
+      }
+    }
+  },
+  "cameraReview": {
+    "title": "Camera Review Settings",
     "object_descriptions": {
       "title": "Generative AI Object Descriptions",
-      "desc": "Temporarily enable/disable Generative AI object descriptions for this camera. When disabled, AI generated descriptions will not be requested for tracked objects on this camera."
+      "desc": "Temporarily enable/disable Generative AI object descriptions for this camera until Frigate restarts. When disabled, AI generated descriptions will not be requested for tracked objects on this camera."
     },
     "review_descriptions": {
       "title": "Generative AI Review Descriptions",
-      "desc": "Temporarily enable/disable Generative AI review descriptions for this camera. When disabled, AI generated descriptions will not be requested for review items on this camera."
+      "desc": "Temporarily enable/disable Generative AI review descriptions for this camera until Frigate restarts. When disabled, AI generated descriptions will not be requested for review items on this camera."
     },
     "review": {
       "title": "Review",
@@ -183,35 +418,6 @@
       "toast": {
         "success": "Review Classification configuration has been saved. Restart Frigate to apply changes."
       }
-    },
-    "addCamera": "Add New Camera",
-    "editCamera": "Edit Camera:",
-    "selectCamera": "Select a Camera",
-    "backToSettings": "Back to Camera Settings",
-    "cameraConfig": {
-      "add": "Add Camera",
-      "edit": "Edit Camera",
-      "description": "Configure camera settings including stream inputs and roles.",
-      "name": "Camera Name",
-      "nameRequired": "Camera name is required",
-      "nameLength": "Camera name must be less than 24 characters.",
-      "namePlaceholder": "e.g., front_door",
-      "enabled": "Enabled",
-      "ffmpeg": {
-        "inputs": "Input Streams",
-        "path": "Stream Path",
-        "pathRequired": "Stream path is required",
-        "pathPlaceholder": "rtsp://...",
-        "roles": "Roles",
-        "rolesRequired": "At least one role is required",
-        "rolesUnique": "Each role (audio, detect, record) can only be assigned to one stream",
-        "addInput": "Add Input Stream",
-        "removeInput": "Remove Input Stream",
-        "inputsRequired": "At least one input stream is required"
-      },
-      "toast": {
-        "success": "Camera {{cameraName}} saved successfully"
-      }
     }
   },
   "masksAndZones": {
@@ -236,7 +442,8 @@
           "mustNotBeSameWithCamera": "Zone name must not be the same as camera name.",
           "alreadyExists": "A zone with this name already exists for this camera.",
           "mustNotContainPeriod": "Zone name must not contain periods.",
-          "hasIllegalCharacter": "Zone name contains illegal characters."
+          "hasIllegalCharacter": "Zone name contains illegal characters.",
+          "mustHaveAtLeastOneLetter": "Zone name must have at least one letter."
         }
       },
       "distance": {
@@ -294,7 +501,7 @@
       "name": {
         "title": "Name",
         "inputPlaceHolder": "Enter a name…",
-        "tips": "Name must be at least 2 characters and must not be the name of a camera or another zone."
+        "tips": "Name must be at least 2 characters, must have at least one letter, and must not be the name of a camera or another zone on this camera."
       },
       "inertia": {
         "title": "Inertia",
@@ -328,7 +535,7 @@
         }
       },
       "toast": {
-        "success": "Zone ({{zoneName}}) has been saved. Restart Frigate to apply changes."
+        "success": "Zone ({{zoneName}}) has been saved."
       }
     },
     "motionMasks": {
@@ -352,8 +559,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} has been saved. Restart Frigate to apply changes.",
-          "noName": "Motion Mask has been saved. Restart Frigate to apply changes."
+          "title": "{{polygonName}} has been saved.",
+          "noName": "Motion Mask has been saved."
         }
       }
     },
@@ -377,8 +584,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} has been saved. Restart Frigate to apply changes.",
-          "noName": "Object Mask has been saved. Restart Frigate to apply changes."
+          "title": "{{polygonName}} has been saved.",
+          "noName": "Object Mask has been saved."
         }
       }
     }
@@ -472,7 +679,7 @@
       "desc": "Manage this Frigate instance's user accounts."
     },
     "addUser": "Add User",
-    "updatePassword": "Update Password",
+    "updatePassword": "Reset Password",
     "toast": {
       "success": {
         "createUser": "User {{user}} created successfully",
@@ -493,7 +700,7 @@
       "role": "Role",
       "noUsers": "No users found.",
       "changeRole": "Change user role",
-      "password": "Password",
+      "password": "Reset Password",
       "deleteUser": "Delete user"
     },
     "dialog": {
@@ -506,6 +713,8 @@
         "password": {
           "title": "Password",
           "placeholder": "Enter password",
+          "show": "Show password",
+          "hide": "Hide password",
           "confirm": {
             "title": "Confirm Password",
             "placeholder": "Confirm Password"
@@ -517,6 +726,13 @@
             "strong": "Strong",
             "veryStrong": "Very Strong"
           },
+          "requirements": {
+            "title": "Password requirements:",
+            "length": "At least 8 characters",
+            "uppercase": "At least one uppercase letter",
+            "digit": "At least one digit",
+            "special": "At least one special character (!@#$%^&*(),.?\":{}|<>)"
+          },
           "match": "Passwords match",
           "notMatch": "Passwords don't match"
         },
@@ -527,6 +743,10 @@
             "placeholder": "Re-enter new password"
           }
         },
+        "currentPassword": {
+          "title": "Current Password",
+          "placeholder": "Enter your current password"
+        },
         "usernameIsRequired": "Username is required",
         "passwordIsRequired": "Password is required"
       },
@@ -544,9 +764,14 @@
       "passwordSetting": {
         "cannotBeEmpty": "Password cannot be empty",
         "doNotMatch": "Passwords do not match",
+        "currentPasswordRequired": "Current password is required",
+        "incorrectCurrentPassword": "Current password is incorrect",
+        "passwordVerificationFailed": "Failed to verify password",
         "updatePassword": "Update Password for {{username}}",
         "setPassword": "Set Password",
-        "desc": "Create a strong password to secure this account."
+        "desc": "Create a strong password to secure this account.",
+        "multiDeviceWarning": "Any other devices where you are logged in will be required to re-login within {{refresh_time}}.",
+        "multiDeviceAdmin": "You can also force all users to re-authenticate immediately by rotating your JWT secret."
       },
       "changeRole": {
         "title": "Change User Role",
@@ -582,7 +807,8 @@
         "createRole": "Role {{role}} created successfully",
         "updateCameras": "Cameras updated for role {{role}}",
         "deleteRole": "Role {{role}} deleted successfully",
-        "userRolesUpdated": "{{count}} user(s) assigned to this role have been updated to 'viewer', which has access to all cameras."
+        "userRolesUpdated_one": "{{count}} user assigned to this role has been updated to 'viewer', which has access to all cameras.",
+        "userRolesUpdated_other": "{{count}} users assigned to this role have been updated to 'viewer', which has access to all cameras."
       },
       "error": {
         "createRoleFailed": "Failed to create role: {{errorMessage}}",
@@ -726,7 +952,7 @@
       "desc": "Semantic Search must be enabled to use Triggers."
     },
     "management": {
-      "title": "Trigger Management",
+      "title": "Triggers",
       "desc": "Manage triggers for {{camera}}. Use the thumbnail type to trigger on similar thumbnails to your selected tracked object, and the description type to trigger on similar descriptions to text you specify."
     },
     "addTrigger": "Add Trigger",
@@ -746,8 +972,9 @@
       "description": "Description"
     },
     "actions": {
-      "alert": "Mark as Alert",
-      "notification": "Send Notification"
+      "notification": "Send Notification",
+      "sub_label": "Add Sub Label",
+      "attribute": "Add Attribute"
     },
     "dialog": {
       "createTrigger": {
@@ -765,10 +992,11 @@
       "form": {
         "name": {
           "title": "Name",
-          "placeholder": "Enter trigger name",
+          "placeholder": "Name this trigger",
+          "description": "Enter a unique name or description to identify this trigger",
           "error": {
-            "minLength": "Name must be at least 2 characters long.",
-            "invalidCharacters": "Name can only contain letters, numbers, underscores, and hyphens.",
+            "minLength": "Field must be at least 2 characters long.",
+            "invalidCharacters": "Field can only contain letters, numbers, underscores, and hyphens.",
             "alreadyExists": "A trigger with this name already exists for this camera."
           }
         },
@@ -777,18 +1005,15 @@
         },
         "type": {
           "title": "Type",
-          "placeholder": "Select trigger type"
-        },
-        "friendly_name": {
-          "title": "Friendly Name",
-          "placeholder": "Name or describe this trigger",
-          "description": "An optional friendly name or descriptive text for this trigger."
+          "placeholder": "Select trigger type",
+          "description": "Trigger when a similar tracked object description is detected",
+          "thumbnail": "Trigger when a similar tracked object thumbnail is detected"
         },
         "content": {
           "title": "Content",
-          "imagePlaceholder": "Select an image",
+          "imagePlaceholder": "Select a thumbnail",
           "textPlaceholder": "Enter text content",
-          "imageDesc": "Select an image to trigger this action when a similar image is detected.",
+          "imageDesc": "Only the most recent 100 thumbnails are displayed. If you can't find your desired thumbnail, please review earlier objects in Explore and set up a trigger from the menu there.",
           "textDesc": "Enter text to trigger this action when a similar tracked object description is detected.",
           "error": {
             "required": "Content is required."
@@ -796,6 +1021,7 @@
         },
         "threshold": {
           "title": "Threshold",
+          "desc": "Set the similarity threshold for this trigger. A higher threshold means a closer match is required to fire the trigger.",
           "error": {
             "min": "Threshold must be at least 0",
             "max": "Threshold must be at most 1"
@@ -803,13 +1029,30 @@
         },
         "actions": {
           "title": "Actions",
-          "desc": "By default, Frigate fires an MQTT message for all triggers. Choose an additional action to perform when this trigger fires.",
+          "desc": "By default, Frigate fires an MQTT message for all triggers. Sub labels add the trigger name to the object label. Attributes are searchable metadata stored separately in the tracked object metadata.",
           "error": {
             "min": "At least one action must be selected."
           }
         }
       }
     },
+    "wizard": {
+      "title": "Create Trigger",
+      "step1": {
+        "description": "Configure the basic settings for your trigger."
+      },
+      "step2": {
+        "description": "Set up the content that will trigger this action."
+      },
+      "step3": {
+        "description": "Configure the threshold and actions for this trigger."
+      },
+      "steps": {
+        "nameAndType": "Name and Type",
+        "configureData": "Configure Data",
+        "thresholdAndActions": "Threshold and Actions"
+      }
+    },
     "toast": {
       "success": {
         "createTrigger": "Trigger {{name}} created successfully.",
diff --git a/web/public/locales/en/views/system.json b/web/public/locales/en/views/system.json
index c4c6fd4f6..da774e302 100644
--- a/web/public/locales/en/views/system.json
+++ b/web/public/locales/en/views/system.json
@@ -76,12 +76,24 @@
         }
       },
       "npuUsage": "NPU Usage",
-      "npuMemory": "NPU Memory"
+      "npuMemory": "NPU Memory",
+      "intelGpuWarning": {
+        "title": "Intel GPU Stats Warning",
+        "message": "GPU stats unavailable",
+        "description": "This is a known bug in Intel's GPU stats reporting tools (intel_gpu_top) where it will break and repeatedly return a GPU usage of 0% even in cases where hardware acceleration and object detection are correctly running on the (i)GPU. This is not a Frigate bug. You can restart the host to temporarily fix the issue and confirm that the GPU is working correctly. This does not affect performance."
+      }
     },
     "otherProcesses": {
       "title": "Other Processes",
       "processCpuUsage": "Process CPU Usage",
-      "processMemoryUsage": "Process Memory Usage"
+      "processMemoryUsage": "Process Memory Usage",
+      "series": {
+        "go2rtc": "go2rtc",
+        "recording": "recording",
+        "review_segment": "review segment",
+        "embeddings": "embeddings",
+        "audio_detector": "audio detector"
+      }
     }
   },
   "storage": {
@@ -169,6 +181,7 @@
   "enrichments": {
     "title": "Enrichments",
     "infPerSecond": "Inferences Per Second",
+    "averageInf": "Average Inference Time",
     "embeddings": {
       "image_embedding": "Image Embedding",
       "text_embedding": "Text Embedding",
@@ -180,7 +193,16 @@
       "plate_recognition_speed": "Plate Recognition Speed",
       "text_embedding_speed": "Text Embedding Speed",
       "yolov9_plate_detection_speed": "YOLOv9 Plate Detection Speed",
-      "yolov9_plate_detection": "YOLOv9 Plate Detection"
+      "yolov9_plate_detection": "YOLOv9 Plate Detection",
+      "review_description": "Review Description",
+      "review_description_speed": "Review Description Speed",
+      "review_description_events_per_second": "Review Description",
+      "object_description": "Object Description",
+      "object_description_speed": "Object Description Speed",
+      "object_description_events_per_second": "Object Description",
+      "classification": "{{name}} Classification",
+      "classification_speed": "{{name}} Classification Speed",
+      "classification_events_per_second": "{{name}} Classification Events Per Second"
     }
   }
 }
diff --git a/web/public/locales/es/audio.json b/web/public/locales/es/audio.json
index 16288b261..2641cb561 100644
--- a/web/public/locales/es/audio.json
+++ b/web/public/locales/es/audio.json
@@ -31,7 +31,7 @@
   "crying": "Llanto",
   "synthetic_singing": "Canto sintético",
   "rapping": "Rap",
-  "humming": "Tarareo",
+  "humming": "Zumbido leve",
   "groan": "Gemido",
   "grunt": "Gruñido",
   "whistling": "Silbido",
@@ -129,7 +129,7 @@
   "sitar": "Sitar",
   "mandolin": "Mandolina",
   "zither": "Cítara",
-  "ukulele": "Ukulele",
+  "ukulele": "Ukelele",
   "piano": "Piano",
   "organ": "Órgano",
   "electronic_organ": "Órgano electrónico",
@@ -153,7 +153,7 @@
   "mallet_percussion": "Percusión con mazas",
   "marimba": "Marimba",
   "glockenspiel": "Glockenspiel",
-  "steelpan": "Steelpan",
+  "steelpan": "SarténAcero",
   "orchestra": "Orquesta",
   "trumpet": "Trompeta",
   "string_section": "Sección de cuerdas",
@@ -183,13 +183,13 @@
   "psychedelic_rock": "Rock psicodélico",
   "rhythm_and_blues": "Rhythm and blues",
   "soul_music": "Música soul",
-  "country": "Country",
+  "country": "País",
   "swing_music": "Música swing",
   "disco": "Disco",
   "house_music": "Música House",
   "dubstep": "Dubstep",
   "drum_and_bass": "Drum and Bass",
-  "electronica": "Electronica",
+  "electronica": "Electrónica",
   "electronic_dance_music": "Música Dance Electronica",
   "music_of_latin_america": "Música de América Latina",
   "salsa_music": "Música Salsa",
@@ -207,7 +207,7 @@
   "song": "Canción",
   "background_music": "Música Background",
   "soundtrack_music": "Música de Pelicula",
-  "lullaby": "Lullaby",
+  "lullaby": "Cancion de cuna",
   "video_game_music": "Música de Videojuego",
   "christmas_music": "Música Navideña",
   "sad_music": "Música triste",
@@ -425,5 +425,79 @@
   "radio": "Radio",
   "gunshot": "Disparo",
   "fusillade": "Descarga de Fusilería",
-  "pink_noise": "Ruido Rosa"
+  "pink_noise": "Ruido Rosa",
+  "shofar": "Shofar",
+  "liquid": "Líquido",
+  "splash": "Chapoteo",
+  "slosh": "líquido_en_movimiento",
+  "squish": "Chapotear",
+  "drip": "Goteo",
+  "pour": "Derramar",
+  "trickle": "Chorrito",
+  "gush": "Chorro",
+  "fill": "Llenar",
+  "spray": "Pulverizar",
+  "pump": "Bombear",
+  "stir": "Remover",
+  "boiling": "Hirviendo",
+  "sonar": "Sonar",
+  "arrow": "Flecha",
+  "whoosh": "Zas",
+  "thump": "Golpear",
+  "thunk": "Golpe_sordo",
+  "electronic_tuner": "Afinador_electrónico",
+  "effects_unit": "Unidades de efecto",
+  "chorus_effect": "Efecto Coral",
+  "basketball_bounce": "Bote baloncesto",
+  "bang": "Bang",
+  "slap": "Bofeteada",
+  "whack": "Aporreo",
+  "smash": "Aplastar",
+  "breaking": "Romper",
+  "bouncing": "Botar",
+  "whip": "Latigazo",
+  "flap": "Aleteo",
+  "scratch": "Arañazo",
+  "scrape": "Arañar",
+  "rub": "Frotar",
+  "roll": "Roll",
+  "crushing": "aplastar",
+  "crumpling": "Arrugar",
+  "tearing": "Rasgar",
+  "beep": "Bip",
+  "ping": "Ping",
+  "ding": "Ding",
+  "clang": "Sonido metálico",
+  "squeal": "Chillido",
+  "creak": "Crujido",
+  "rustle": "Crujir",
+  "whir": "Zumbido de ventilador",
+  "clatter": "Estrépito",
+  "sizzle": "Chisporroteo",
+  "clicking": "Click",
+  "clickety_clack": "Clic-clac",
+  "rumble": "Retumbar",
+  "plop": "Plaf",
+  "hum": "Murmullo",
+  "zing": "silbido",
+  "boing": "Bote",
+  "crunch": "Crujido",
+  "sine_wave": "Onda Sinusoidal",
+  "harmonic": "Harmonica",
+  "chirp_tone": "Tono de chirrido",
+  "pulse": "Pulso",
+  "inside": "Dentro",
+  "outside": "Afuera",
+  "reverberation": "Reverberación",
+  "echo": "Eco",
+  "noise": "Ruido",
+  "mains_hum": "Zumbido de red",
+  "distortion": "Distorsión",
+  "sidetone": "Tono lateral",
+  "cacophony": "Cacofonía",
+  "throbbing": "Palpitación",
+  "vibration": "Vibración",
+  "sodeling": "Sodeling",
+  "chird": "Chird",
+  "change_ringing": "Cambio timbre"
 }
diff --git a/web/public/locales/es/common.json b/web/public/locales/es/common.json
index 3c682b706..13d094ac2 100644
--- a/web/public/locales/es/common.json
+++ b/web/public/locales/es/common.json
@@ -87,7 +87,10 @@
     "formattedTimestampMonthDayYear": {
       "12hour": "MMM d, yyyy",
       "24hour": "MMM d, yyyy"
-    }
+    },
+    "inProgress": "En progreso",
+    "invalidStartTime": "Hora de inicio no válida",
+    "invalidEndTime": "Hora de finalización no válida"
   },
   "menu": {
     "settings": "Ajustes",
@@ -189,7 +192,8 @@
     "review": "Revisar",
     "explore": "Explorar",
     "uiPlayground": "Zona de pruebas de la interfaz de usuario",
-    "faceLibrary": "Biblioteca de rostros"
+    "faceLibrary": "Biblioteca de rostros",
+    "classification": "Clasificación"
   },
   "unit": {
     "speed": {
@@ -199,6 +203,14 @@
     "length": {
       "meters": "Metros",
       "feet": "Pies"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/hora",
+      "mbph": "MB/hora",
+      "gbph": "GB/hora"
     }
   },
   "button": {
@@ -236,7 +248,8 @@
     "enabled": "Habilitado",
     "saving": "Guardando…",
     "exitFullscreen": "Salir de pantalla completa",
-    "on": "ENCENDIDO"
+    "on": "ENCENDIDO",
+    "continue": "Continuar"
   },
   "toast": {
     "save": {
@@ -249,7 +262,12 @@
     "copyUrlToClipboard": "URL copiada al portapapeles."
   },
   "label": {
-    "back": "Volver atrás"
+    "back": "Volver atrás",
+    "hide": "Ocultar {{item}}",
+    "show": "Mostrar {{item}}",
+    "ID": "ID",
+    "none": "Ninguno",
+    "all": "Todas"
   },
   "role": {
     "title": "Rol",
@@ -280,5 +298,17 @@
     "desc": "Página no encontrada"
   },
   "selectItem": "Seleccionar {{item}}",
-  "readTheDocumentation": "Leer la documentación"
+  "readTheDocumentation": "Leer la documentación",
+  "information": {
+    "pixels": "{{area}}px"
+  },
+  "list": {
+    "two": "{{0}} y {{1}}",
+    "many": "{{items}}, y {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "Opcional",
+    "internalID": "La ID interna que usa Frigate en la configuración y en la base de datos"
+  }
 }
diff --git a/web/public/locales/es/components/auth.json b/web/public/locales/es/components/auth.json
index fde9c5a9f..62d6c8445 100644
--- a/web/public/locales/es/components/auth.json
+++ b/web/public/locales/es/components/auth.json
@@ -10,6 +10,7 @@
       "loginFailed": "Error de inicio de sesión"
     },
     "password": "Contraseña",
-    "login": "Iniciar sesión"
+    "login": "Iniciar sesión",
+    "firstTimeLogin": "¿Estás tratando de iniciar sesión por primera vez? Las credenciales están impresas en los registros de Frigate."
   }
 }
diff --git a/web/public/locales/es/components/dialog.json b/web/public/locales/es/components/dialog.json
index 689b4fcc1..98c96528f 100644
--- a/web/public/locales/es/components/dialog.json
+++ b/web/public/locales/es/components/dialog.json
@@ -66,10 +66,11 @@
     "toast": {
       "error": {
         "failed": "No se pudo iniciar la exportación: {{error}}",
-        "noVaildTimeSelected": "No se seleccionó un rango de tiempo válido.",
-        "endTimeMustAfterStartTime": "La hora de finalización debe ser posterior a la hora de inicio."
+        "noVaildTimeSelected": "No se seleccionó un rango de tiempo válido",
+        "endTimeMustAfterStartTime": "La hora de finalización debe ser posterior a la hora de inicio"
       },
-      "success": "Exportación iniciada con éxito. Ver el archivo en la carpeta /exports."
+      "success": "Exportación iniciada con éxito. Ver el archivo en la página exportaciones.",
+      "view": "Ver"
     },
     "fromTimeline": {
       "saveExport": "Guardar exportación",
@@ -120,7 +121,8 @@
     "button": {
       "export": "Exportar",
       "markAsReviewed": "Marcar como revisado",
-      "deleteNow": "Eliminar ahora"
+      "deleteNow": "Eliminar ahora",
+      "markAsUnreviewed": "Marcar como no revisado"
     }
   },
   "imagePicker": {
@@ -128,6 +130,7 @@
     "search": {
       "placeholder": "Búsqueda por etiqueta o sub-etiqueta..."
     },
-    "noImages": "No se encontraron miniaturas para esta cámara"
+    "noImages": "No se encontraron miniaturas para esta cámara",
+    "unknownLabel": "Imagen de activación guardada"
   }
 }
diff --git a/web/public/locales/es/components/filter.json b/web/public/locales/es/components/filter.json
index 3625030f9..d9d77d6f9 100644
--- a/web/public/locales/es/components/filter.json
+++ b/web/public/locales/es/components/filter.json
@@ -133,5 +133,9 @@
     },
     "count_one": "{{count}} Clase",
     "count_other": "{{count}} Clases"
+  },
+  "attributes": {
+    "label": "Clasificación de Atributos",
+    "all": "Todos los Atributos"
   }
 }
diff --git a/web/public/locales/es/objects.json b/web/public/locales/es/objects.json
index 0e972102c..0fd02208a 100644
--- a/web/public/locales/es/objects.json
+++ b/web/public/locales/es/objects.json
@@ -102,7 +102,7 @@
   "baseball_bat": "Bate de béisbol",
   "oven": "Horno",
   "waste_bin": "Papelera",
-  "snowboard": "Snowboard",
+  "snowboard": "Tabla de Snow",
   "sandwich": "Sandwich",
   "fox": "Zorro",
   "nzpost": "NZPost",
diff --git a/web/public/locales/es/views/classificationModel.json b/web/public/locales/es/views/classificationModel.json
new file mode 100644
index 000000000..8d6087a8d
--- /dev/null
+++ b/web/public/locales/es/views/classificationModel.json
@@ -0,0 +1,192 @@
+{
+  "documentTitle": "Modelos de Clasificación - Frigate",
+  "button": {
+    "deleteClassificationAttempts": "Borrar Imágenes de Clasificación",
+    "renameCategory": "Renombrar Clase",
+    "deleteCategory": "Borrar Clase",
+    "deleteImages": "Borrar Imágenes",
+    "trainModel": "Entrenar Modelo",
+    "addClassification": "Añadir Clasificación",
+    "deleteModels": "Borrar Modelos",
+    "editModel": "Editar Modelo"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Clase Borrada",
+      "deletedImage": "Imágenes Borradas",
+      "deletedModel_one": "Borrado con éxito {{count}} modelo",
+      "deletedModel_many": "Borrados con éxito {{count}} modelos",
+      "deletedModel_other": "Borrados con éxito {{count}} modelos",
+      "categorizedImage": "Imagen Clasificada Correctamente",
+      "trainedModel": "Modelo entrenado correctamente.",
+      "trainingModel": "Entrenamiento del modelo iniciado correctamente.",
+      "updatedModel": "Configuración del modelo actualizada correctamente",
+      "renamedCategory": "Clase renombrada correctamente a {{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "Fallo al borrar: {{errorMessage}}",
+      "deleteCategoryFailed": "Fallo al borrar clase: {{errorMessage}}",
+      "deleteModelFailed": "Fallo al borrar modelo: {{errorMessage}}",
+      "categorizeFailed": "Fallo al categorizar imagen: {{errorMessage}}",
+      "trainingFailed": "El entrenamiento del modelo ha fallado. Revisa los registros de Frigate para más detalles.",
+      "updateModelFailed": "Fallo al actualizar modelo: {{errorMessage}}",
+      "trainingFailedToStart": "No se pudo iniciar el entrenamiento del modelo: {{errorMessage}}",
+      "renameCategoryFailed": "Falló el renombrado de la clase: {{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "Borrar Clase",
+    "desc": "¿Esta seguro de que quiere borrar la clase {{name}}? Esto borrará permanentemente todas las imágenes asociadas y requerirá reentrenar el modelo.",
+    "minClassesTitle": "No se puede Borrar la Clase",
+    "minClassesDesc": "Un modelo de clasificación debe tener al menos 2 clases. Añade otra clase antes de borrar esta."
+  },
+  "deleteModel": {
+    "title": "Borrar Modelo de Clasificación",
+    "single": "¿Está seguro de que quiere eliminar {{name}}? Esto borrar permanentemente todos los datos asociados incluidas las imágenes y los datos de entrenamiento. Esta acción no se puede deshacer.",
+    "desc_one": "¿Estas seguro de que quiere borrar {{count}} modelo? Esto borrara permanentemente todos los datos asociados, incluyendo imágenes y datos de entrenamiento. Esta acción no puede ser desehecha.",
+    "desc_many": "¿Estas seguro de que quiere borrar {{count}} modelos? Esto borrara permanentemente todos los datos asociados, incluyendo imágenes y datos de entrenamiento. Esta acción no puede ser desehecha.",
+    "desc_other": "¿Estas seguro de que quiere borrar {{count}} modelos? Esto borrara permanentemente todos los datos asociados, incluyendo imágenes y datos de entrenamiento. Esta acción no puede ser desehecha."
+  },
+  "edit": {
+    "title": "Editar modelo de clasificación",
+    "descriptionState": "Edita las clases para este modelo de clasificación de estados. Los cambios requerirán un reentrenamiento de modelo.",
+    "descriptionObject": "Edita el tipo de objeto y el tipo de clasificación para este modelo de clasificación de objetos.",
+    "stateClassesInfo": "Nota: El cambio de las clases de estado requiere reentrenar el modelo con las clases actualizadas."
+  },
+  "tooltip": {
+    "noChanges": "No se han realizado cambios en el conjunto de datos desde el último entrenamiento.",
+    "modelNotReady": "El modelo no está listo para el entrenamiento",
+    "trainingInProgress": "El modelo está entrenándose actualmente",
+    "noNewImages": "No hay imágenes nuevas para entrenar. Clasifica antes más imágenes del conjunto de datos."
+  },
+  "details": {
+    "scoreInfo": "La puntuación representa la confianza media de clasificación en todas las detecciones de este objeto.",
+    "unknown": "Desconocido",
+    "none": "Nada"
+  },
+  "categorizeImage": "Clasificar Imagen",
+  "menu": {
+    "objects": "Objetos",
+    "states": "Estados"
+  },
+  "wizard": {
+    "steps": {
+      "chooseExamples": "Seleccionar Ejemplos",
+      "nameAndDefine": "Nombrar y definir",
+      "stateArea": "Área de estado"
+    },
+    "step1": {
+      "name": "Nombre",
+      "namePlaceholder": "Introducir nombre del modelo...",
+      "type": "Tipo",
+      "typeState": "Estado",
+      "typeObject": "Objeto",
+      "objectLabel": "Etiqueta de Objeto",
+      "objectLabelPlaceholder": "Seleccionar tipo de objeto...",
+      "classificationAttribute": "Atributo",
+      "classes": "Clases",
+      "states": "Estados",
+      "classPlaceholder": "Introducir nombre de la clase...",
+      "errors": {
+        "nameRequired": "Se requiere nombre del modelo",
+        "nameLength": "El nombre del modelo debe tener 64 caracteres o menos",
+        "nameOnlyNumbers": "El nombre del modelo no puede contener solo números",
+        "classRequired": "Al menos se requiere una clase",
+        "classesUnique": "Los nombres de clase deben ser únicos",
+        "noneNotAllowed": "La clase 'none' no esta permitida",
+        "stateRequiresTwoClasses": "Los modelos de estado requieren al menos 2 clases",
+        "objectLabelRequired": "Por favor seleccione una etiqueta de objeto",
+        "objectTypeRequired": "Por favor seleccione un tipo de clasificación"
+      },
+      "description": "Los modelos de estado monitorean las áreas fijas de la cámara para detectar cambios (p. ej., puerta abierta/cerrada). Los modelos de objetos clasifican los objetos detectados (p. ej., animales conocidos, repartidores, etc.).",
+      "classificationType": "Tipo de clasificación",
+      "classificationTypeTip": "Conozca más sobre los tipos de clasificación",
+      "classificationTypeDesc": "Las subetiquetas añaden texto adicional a la etiqueta del objeto (p. ej., «Persona: UPS»). Los atributos son metadatos que permiten búsquedas y se almacenan por separado en los metadatos del objeto.",
+      "classificationSubLabel": "Sub etiqueta",
+      "classesTip": "Aprenda más sobre clases",
+      "classesStateDesc": "Define los diferentes estados en los que puede estar el área de tu cámara. Por ejemplo: \"abierta\" y \"cerrada\" para una puerta de garaje.",
+      "classesObjectDesc": "Define las diferentes categorías para clasificar los objetos detectados. Por ejemplo: \"persona de reparto\", \"residente\" y \"desconocido\" para la clasificación de personas."
+    },
+    "step2": {
+      "description": "Seleccione las cámaras y defina el area a monitorizar por cada cámara. El modelo clasificará el estado de estas cámaras.",
+      "cameras": "Camaras",
+      "selectCamera": "Selecciones Cámara",
+      "noCameras": "Haga clic en + para añadir cámaras",
+      "selectCameraPrompt": "Seleccione una cámara de la lista para definir su área de monitorización"
+    },
+    "step3": {
+      "selectImagesPrompt": "Seleccione todas las imágenes de: {{className}}",
+      "selectImagesDescription": "Haga clic en las imágenes para seleccionarlas. Haga clic en Continuar cuando esté listo para esta clase.",
+      "generating": {
+        "title": "Generando Imágenes de Ejemplo",
+        "description": "Frigate está seleccionando imágenes representativas de sus grabaciones. Esto puede llevar un tiempo..."
+      },
+      "training": {
+        "title": "Modelo de Entrenamiento",
+        "description": "Tu modelo se está entrenando en segundo plano. Cierra este cuadro de diálogo y tu modelo comenzará a ejecutarse en cuanto finalice el entrenamiento."
+      },
+      "retryGenerate": "Reintentar Generación",
+      "noImages": "No se han generado imágenes de ejemplo",
+      "classifying": "Clasificando y Entrenando...",
+      "trainingStarted": "Entrenamiento iniciado con éxito",
+      "modelCreated": "Modelo creado con éxito. Use la vista de Clasificaciones Recientes para añadir imágenes para los estados que falten, después entrene el modelo.",
+      "errors": {
+        "noCameras": "No hay cámaras configuradas",
+        "noObjectLabel": "No se ha seleccionado etiqueta de objeto",
+        "generateFailed": "Falló la generación de ejemplos: {{error}}",
+        "generationFailed": "Generación fallida. Por favor pruebe otra vez.",
+        "classifyFailed": "Falló la clasificación de imágenes: {{error}}"
+      },
+      "generateSuccess": "Imágenes de ejemplo generadas correctamente",
+      "missingStatesWarning": {
+        "title": "Faltan Ejemplos de Estado",
+        "description": "Se recomienda seleccionar ejemplos para todos los estados para obtener mejores resultados. Puede continuar sin seleccionar todos los estados, pero el modelo no se entrenará hasta que todos los estados tengan imágenes. Después de continuar, use la vista \"Clasificaciones recientes\" para clasificar las imágenes de los estados faltantes y luego entrene el modelo."
+      },
+      "allImagesRequired_one": "Por favor clasifique todas las imágenes. Queda {{count}} imagen.",
+      "allImagesRequired_many": "Por favor clasifique todas las imágenes. Quedan {{count}} imágenes.",
+      "allImagesRequired_other": "Por favor clasifique todas las imágenes. Quedan {{count}} imágenes."
+    },
+    "title": "Crear nueva Clasificación"
+  },
+  "deleteDatasetImages": {
+    "title": "Borrar Conjunto de Imágenes",
+    "desc_one": "¿Está seguro de que quiere eliminar {{count}} imagen de {{dataset}}? Esta acción no puede ser deshecha y requerirá reentrenar el modelo.",
+    "desc_many": "¿Está seguro de que quiere eliminar {{count}} imágenes de {{dataset}}? Esta acción no puede ser deshecha y requerirá reentrenar el modelo.",
+    "desc_other": "¿Está seguro de que quiere eliminar {{count}} imágenes de {{dataset}}? Esta acción no puede ser deshecha y requerirá reentrenar el modelo."
+  },
+  "deleteTrainImages": {
+    "title": "Borrar Imágenes de Entrenamiento",
+    "desc_one": "¿Está seguro de que quiere eliminar {{count}} imagen? Esta acción no puede ser deshecha.",
+    "desc_many": "¿Está seguro de que quiere eliminar {{count}} imágenes? Esta acción no puede ser deshecha.",
+    "desc_other": "¿Está seguro de que quiere eliminar {{count}} imágenes? Esta acción no puede ser deshecha."
+  },
+  "renameCategory": {
+    "title": "Renombrar Clase",
+    "desc": "Introduzca un nuevo nombre para {{name}}. Se requerirá que reentrene el modelo para que el cambio de nombre tenga efecto."
+  },
+  "description": {
+    "invalidName": "Nombre incorrecto. Los nombres solo pueden incluir letras, números, espacios, apóstrofes, guiones bajos, y guiones."
+  },
+  "train": {
+    "title": "Clasificaciones Recientes",
+    "titleShort": "Reciente",
+    "aria": "Seleccione Clasificaciones Recientes"
+  },
+  "categories": "Clases",
+  "createCategory": {
+    "new": "Crear Nueva Clase"
+  },
+  "categorizeImageAs": "Clasificar Imagen Como:",
+  "noModels": {
+    "object": {
+      "title": "No hay Modelos de Clasificación de Objetos",
+      "description": "Crear modelo a medida para clasificar los objetos detectados.",
+      "buttonText": "Crear Modelo de Objetos"
+    },
+    "state": {
+      "title": "No hay Modelos de Clasificación de Estados",
+      "description": "Cree un modelo personalizado para monitorear y clasificar los cambios de estado en áreas específicas de la cámara.",
+      "buttonText": "Crear modelo de estado"
+    }
+  }
+}
diff --git a/web/public/locales/es/views/events.json b/web/public/locales/es/views/events.json
index a428169a4..d13daff60 100644
--- a/web/public/locales/es/views/events.json
+++ b/web/public/locales/es/views/events.json
@@ -9,7 +9,11 @@
   "empty": {
     "alert": "No hay alertas para revisar",
     "detection": "No hay detecciones para revisar",
-    "motion": "No se encontraron datos de movimiento"
+    "motion": "No se encontraron datos de movimiento",
+    "recordingsDisabled": {
+      "title": "Las grabaciones deben estar habilitadas",
+      "description": "Solo se pueden crear elementos de revisión para una cámara cuando las grabaciones están habilitadas para esa cámara."
+    }
   },
   "timeline": "Línea de tiempo",
   "timeline.aria": "Seleccionar línea de tiempo",
@@ -37,5 +41,28 @@
   "selected_other": "{{count}} seleccionados",
   "detected": "detectado",
   "suspiciousActivity": "Actividad Sospechosa",
-  "threateningActivity": "Actividad Amenzadora"
+  "threateningActivity": "Actividad Amenzadora",
+  "zoomIn": "Agrandar",
+  "zoomOut": "Alejar",
+  "detail": {
+    "label": "Detalle",
+    "trackedObject_one": "{{count}} objeto",
+    "trackedObject_other": "{{count}} objetos",
+    "noObjectDetailData": "No hay datos detallados del objeto.",
+    "settings": "Configuración de la Vista Detalle",
+    "noDataFound": "No hay datos detallados para revisar",
+    "aria": "Alternar vista de detalles",
+    "alwaysExpandActive": {
+      "title": "Expandir siempre los activos",
+      "desc": "Expandir siempre los detalles del objeto activo cuando esten disponibles."
+    }
+  },
+  "objectTrack": {
+    "clickToSeek": "Clic para ir a este momento",
+    "trackedPoint": "Puntro trazado"
+  },
+  "select_all": "Todas",
+  "normalActivity": "Normal",
+  "needsReview": "Necesita revisión",
+  "securityConcern": "Aviso de seguridad"
 }
diff --git a/web/public/locales/es/views/explore.json b/web/public/locales/es/views/explore.json
index 4816a78ed..f8f61ce83 100644
--- a/web/public/locales/es/views/explore.json
+++ b/web/public/locales/es/views/explore.json
@@ -42,13 +42,15 @@
           "updatedSublabel": "Subetiqueta actualizada con éxito.",
           "regenerate": "Se ha solicitado una nueva descripción a {{provider}}. Dependiendo de la velocidad de tu proveedor, la nueva descripción puede tardar algún tiempo en regenerarse.",
           "updatedLPR": "Matrícula actualizada con éxito.",
-          "audioTranscription": "Transcripción de audio solicitada con éxito."
+          "audioTranscription": "Se solicitó correctamente la transcripción de audio. Dependiendo de la velocidad de su servidor Frigate, la transcripción puede tardar un tiempo.",
+          "updatedAttributes": "Atributos actualizados correctamente."
         },
         "error": {
           "regenerate": "No se pudo llamar a {{provider}} para una nueva descripción: {{errorMessage}}",
           "updatedSublabelFailed": "No se pudo actualizar la subetiqueta: {{errorMessage}}",
           "updatedLPRFailed": "No se pudo actualizar la matrícula: {{errorMessage}}",
-          "audioTranscription": "Transcripción de audio solicitada falló: {{errorMessage}}"
+          "audioTranscription": "Transcripción de audio solicitada falló: {{errorMessage}}",
+          "updatedAttributesFailed": "No se pudieron actualizar los atributos: {{errorMessage}}"
         }
       },
       "tips": {
@@ -102,6 +104,14 @@
     },
     "score": {
       "label": "Puntuación"
+    },
+    "editAttributes": {
+      "title": "Editar atributos",
+      "desc": "Seleccione atributos de clasificación para esta {{label}}"
+    },
+    "attributes": "Atributos de clasificación",
+    "title": {
+      "label": "Título"
     }
   },
   "documentTitle": "Explorar - Frigate",
@@ -110,7 +120,9 @@
     "snapshot": "captura instantánea",
     "video": "vídeo",
     "object_lifecycle": "ciclo de vida del objeto",
-    "details": "detalles"
+    "details": "detalles",
+    "thumbnail": "miniatura",
+    "tracking_details": "detalles de seguimiento"
   },
   "objectLifecycle": {
     "title": "Ciclo de vida del objeto",
@@ -196,12 +208,26 @@
     "addTrigger": {
       "label": "Añadir disparador",
       "aria": "Añadir disparador para el objeto seguido"
+    },
+    "downloadCleanSnapshot": {
+      "label": "Descargue instantánea limpia",
+      "aria": "Descargue instantánea limpia"
+    },
+    "viewTrackingDetails": {
+      "label": "Ver detalles de seguimiento",
+      "aria": "Ver detalles de seguimiento"
+    },
+    "showObjectDetails": {
+      "label": "Mostrar la ruta del objeto"
+    },
+    "hideObjectDetails": {
+      "label": "Ocultar la ruta del objeto"
     }
   },
   "dialog": {
     "confirmDelete": {
       "title": "Confirmar eliminación",
-      "desc": "Eliminar este objeto rastreado elimina la captura de pantalla, cualquier incrustación guardada y cualquier entrada asociada al ciclo de vida del objeto. Las grabaciones de este objeto rastreado en la vista de Historial <em>NO</em> se eliminarán.<br /><br />¿Estás seguro de que quieres proceder?"
+      "desc": "Al eliminar este objeto rastreado, se eliminan la instantánea, las incrustaciones guardadas y las entradas de detalles de seguimiento asociadas. Las grabaciones de este objeto rastreado en la vista Historial <em>NO</em> se eliminarán.<br /><br />¿Seguro que desea continuar?"
     }
   },
   "noTrackedObjects": "No se encontraron objetos rastreados",
@@ -213,7 +239,9 @@
         "error": "No se pudo eliminar el objeto rastreado: {{errorMessage}}"
       }
     },
-    "tooltip": "Coincidencia con {{type}} al {{confidence}}%"
+    "tooltip": "Coincidencia con {{type}} al {{confidence}}%",
+    "previousTrackedObject": "Objeto rastreado previo",
+    "nextTrackedObject": "Objeto rastreado siguiente"
   },
   "trackedObjectsCount_one": "{{count}} objeto rastreado ",
   "trackedObjectsCount_many": "{{count}} objetos rastreados ",
@@ -224,5 +252,54 @@
   },
   "concerns": {
     "label": "Preocupaciones"
+  },
+  "trackingDetails": {
+    "title": "Detalles del seguimiento",
+    "noImageFound": "No se ha encontrado imagen en este momento.",
+    "createObjectMask": "Crear máscara de objeto",
+    "adjustAnnotationSettings": "Ajustar configuración de anotaciones",
+    "scrollViewTips": "Haz clic para ver los momentos relevantes del ciclo de vida de este objeto.",
+    "count": "{{first}} de {{second}}",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} detectado",
+      "active": "{{label}} ha sido activado/a",
+      "stationary": "{{label}} se volvió estacionaria",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} detectado para {{label}}",
+        "other": "{{label}} reconocido como {{attribute}}"
+      },
+      "gone": "{{label}} ha salido",
+      "heard": "{{label}} escuchado/a",
+      "external": "{{label}} detectado",
+      "header": {
+        "zones": "Zonas",
+        "area": "Área",
+        "score": "Puntuación",
+        "ratio": "Ratio(proporción)"
+      },
+      "entered_zone": "{{label}} ha entrado en {{zones}}"
+    },
+    "trackedPoint": "Punto rastreado",
+    "annotationSettings": {
+      "title": "Configuración de anotaciones",
+      "showAllZones": {
+        "title": "Mostrar todas las Zonas",
+        "desc": "Mostrar siempre zonas en los marcos donde los objetos han entrado en una zona."
+      },
+      "offset": {
+        "label": "Desplazamiento de anotación",
+        "desc": "Estos datos provienen de la señal de detección de la cámara, pero se superponen a las imágenes de la señal de grabación. Es poco probable que ambas transmisiones estén perfectamente sincronizadas. Por lo tanto, el cuadro delimitador y el metraje no se alinearán perfectamente. Puede usar esta configuración para desplazar las anotaciones hacia adelante o hacia atrás en el tiempo para que se alineen mejor con el metraje grabado.",
+        "millisecondsToOffset": "Milisegundos para compensar la detección de anotaciones. <em>Predeterminado: 0</em>",
+        "tips": "Disminuya el valor si la reproducción de vídeo se produce antes de los cuadros y los puntos de ruta, y auméntelo si se produce después de ellos. Este valor puede ser negativo.",
+        "toast": {
+          "success": "El desplazamiento de anotación para {{camera}} se ha guardado en el archivo de configuración."
+        }
+      }
+    },
+    "autoTrackingTips": "Las posiciones del cuadro delimitador serán inexactas para las cámaras con seguimiento automático.",
+    "carousel": {
+      "previous": "Vista anterior",
+      "next": "Vista siguiente"
+    }
   }
 }
diff --git a/web/public/locales/es/views/exports.json b/web/public/locales/es/views/exports.json
index b3b686cae..9de2fa330 100644
--- a/web/public/locales/es/views/exports.json
+++ b/web/public/locales/es/views/exports.json
@@ -13,5 +13,11 @@
       "renameExportFailed": "No se pudo renombrar la exportación: {{errorMessage}}"
     }
   },
-  "deleteExport.desc": "¿Estás seguro de que quieres eliminar {{exportName}}?"
+  "deleteExport.desc": "¿Estás seguro de que quieres eliminar {{exportName}}?",
+  "tooltip": {
+    "shareExport": "Compartir exportación",
+    "downloadVideo": "Descargar video",
+    "editName": "Editar nombre",
+    "deleteExport": "Eliminar exportación"
+  }
 }
diff --git a/web/public/locales/es/views/faceLibrary.json b/web/public/locales/es/views/faceLibrary.json
index 5fe5baec4..44e1eba01 100644
--- a/web/public/locales/es/views/faceLibrary.json
+++ b/web/public/locales/es/views/faceLibrary.json
@@ -1,8 +1,8 @@
 {
   "description": {
-    "addFace": "Guía para agregar una nueva colección a la Biblioteca de Rostros.",
+    "addFace": "Agregar una nueva colección a la Biblioteca de Rostros subiendo tu primera imagen.",
     "placeholder": "Introduce un nombre para esta colección",
-    "invalidName": "Nombre inválido. Los nombres solo pueden incluir letras, números, espacios, apóstrofes, guiones bajos y guiones."
+    "invalidName": "Nombre incorrecto. Los nombres solo pueden incluir letras, números, espacios, apóstrofes, guiones bajos, y guiones."
   },
   "details": {
     "person": "Persona",
@@ -23,12 +23,13 @@
     "title": "Crear colección",
     "desc": "Crear una nueva colección",
     "new": "Crear nuevo rostro",
-    "nextSteps": "Para construir una base sólida: <li>Usa la pestaña Entrenar para seleccionar y entrenar con imágenes de cada persona detectada.</li> <li>Enfócate en imágenes frontales para obtener los mejores resultados; evita entrenar con imágenes que capturen rostros en ángulo.</li>"
+    "nextSteps": "Para construir una base sólida: <li>Usa la pestaña Reconocimientos Recientes para seleccionar y entrenar con imágenes de cada persona detectada.</li> <li>Céntrate en imágenes frontales para obtener los mejores resultados; evita entrenar con imágenes que capturen rostros de perfil.</li>"
   },
   "train": {
-    "title": "Entrenar",
-    "aria": "Seleccionar entrenamiento",
-    "empty": "No hay intentos recientes de reconocimiento facial"
+    "title": "Reconocimientos Recientes",
+    "aria": "Seleccionar reconocimientos recientes",
+    "empty": "No hay intentos recientes de reconocimiento facial",
+    "titleShort": "Reciente"
   },
   "selectItem": "Seleccionar {{item}}",
   "selectFace": "Seleccionar rostro",
@@ -49,7 +50,7 @@
       "selectImage": "Por favor, selecciona un archivo de imagen."
     },
     "dropActive": "Suelta la imagen aquí…",
-    "dropInstructions": "Arrastra y suelta una imagen aquí, o haz clic para seleccionar",
+    "dropInstructions": "Arrastra y suelta, o pega una imagen aquí, o haz clic para seleccionar",
     "maxSize": "Tamaño máximo: {{size}}MB"
   },
   "toast": {
@@ -59,10 +60,10 @@
       "deletedName_one": "{{count}} rostro ha sido eliminado con éxito.",
       "deletedName_many": "{{count}} rostros han sido eliminados con éxito.",
       "deletedName_other": "{{count}} rostros han sido eliminados con éxito.",
-      "updatedFaceScore": "Puntuación del rostro actualizada con éxito.",
-      "deletedFace_one": "{{count}} rostro eliminado con éxito",
-      "deletedFace_many": "{{count}} rostros eliminados con éxito",
-      "deletedFace_other": "{{count}} rostros eliminados con éxito",
+      "updatedFaceScore": "Puntuación del rostro actualizada con éxito a {{name}} ({{score}}).",
+      "deletedFace_one": "{{count}} rostro eliminado con éxito.",
+      "deletedFace_many": "{{count}} rostros eliminados con éxito.",
+      "deletedFace_other": "{{count}} rostros eliminados con éxito.",
       "uploadedImage": "Imagen subida con éxito.",
       "renamedFace": "Rostro renombrado con éxito a {{name}}"
     },
diff --git a/web/public/locales/es/views/live.json b/web/public/locales/es/views/live.json
index 5f567de06..664f7abec 100644
--- a/web/public/locales/es/views/live.json
+++ b/web/public/locales/es/views/live.json
@@ -85,8 +85,8 @@
     "disable": "Ocultar estadísticas de transmisión"
   },
   "manualRecording": {
-    "title": "Grabación bajo demanda",
-    "tips": "Iniciar un evento manual basado en la configuración de retención de grabaciones de esta cámara.",
+    "title": "Bajo demanda",
+    "tips": "Descargar una instantánea o Iniciar un evento manual basado en la configuración de retención de grabaciones de esta cámara.",
     "playInBackground": {
       "label": "Reproducir en segundo plano",
       "desc": "Habilitar esta opción para continuar transmitiendo cuando el reproductor esté oculto."
@@ -124,7 +124,7 @@
     "twoWayTalk": {
       "tips.documentation": "Leer la documentación ",
       "available": "La conversación bidireccional está disponible para esta transmisión",
-      "unavailable": "La conversación bidireccional está disponible para esta transmisión",
+      "unavailable": "La conversación bidireccional no está disponible para esta transmisión",
       "tips": "Tu dispositivo debe soportar la función y WebRTC debe estar configurado para la conversación bidireccional."
     },
     "lowBandwidth": {
@@ -147,7 +147,7 @@
     "snapshots": "Capturas de pantalla",
     "autotracking": "Seguimiento automático",
     "cameraEnabled": "Cámara habilitada",
-    "transcription": "Transcripción de audio"
+    "transcription": "Transcripción de Audio"
   },
   "history": {
     "label": "Mostrar grabaciones históricas"
@@ -170,5 +170,20 @@
   "transcription": {
     "enable": "Habilitar transcripción de audio en tiempo real",
     "disable": "Deshabilitar transcripción de audio en tiempo real"
+  },
+  "noCameras": {
+    "title": "No hay cámaras configuradas",
+    "description": "Comienza conectando una cámara a Frigate.",
+    "buttonText": "Añade Cámara",
+    "restricted": {
+      "title": "No hay cámaras disponibles",
+      "description": "No tiene permiso para ver ninguna cámara en este grupo."
+    }
+  },
+  "snapshot": {
+    "takeSnapshot": "Descarga captura instantánea",
+    "noVideoSource": "No hay ninguna fuente de video disponible para la instantánea.",
+    "captureFailed": "Fallo al capturar la instantánea.",
+    "downloadStarted": "La descarga de la instantánea ha comenzado."
   }
 }
diff --git a/web/public/locales/es/views/search.json b/web/public/locales/es/views/search.json
index 7458c491d..547b17f4e 100644
--- a/web/public/locales/es/views/search.json
+++ b/web/public/locales/es/views/search.json
@@ -26,7 +26,8 @@
       "max_speed": "Velocidad Máxima",
       "recognized_license_plate": "Matrícula Reconocida",
       "has_clip": "Tiene Clip",
-      "has_snapshot": "Tiene Instantánea"
+      "has_snapshot": "Tiene Instantánea",
+      "attributes": "Atributos"
     },
     "searchType": {
       "thumbnail": "Miniatura",
diff --git a/web/public/locales/es/views/settings.json b/web/public/locales/es/views/settings.json
index bde0d99ab..e9745c4f7 100644
--- a/web/public/locales/es/views/settings.json
+++ b/web/public/locales/es/views/settings.json
@@ -7,10 +7,12 @@
     "camera": "Configuración de cámara - Frigate",
     "motionTuner": "Ajuste de movimiento - Frigate",
     "classification": "Configuración de clasificación - Frigate",
-    "general": "Configuración General - Frigate",
+    "general": "Configuración de Interfaz de Usuario - Frigate",
     "frigatePlus": "Configuración de Frigate+ - Frigate",
     "notifications": "Configuración de Notificaciones - Frigate",
-    "enrichments": "Configuración de Análisis Avanzado - Frigate"
+    "enrichments": "Configuración de Análisis Avanzado - Frigate",
+    "cameraManagement": "Administrar Cámaras - Frigate",
+    "cameraReview": "Revisar Configuración de Cámaras - Frigate"
   },
   "menu": {
     "cameras": "Configuración de Cámara",
@@ -23,7 +25,10 @@
     "users": "Usuarios",
     "notifications": "Notificaciones",
     "enrichments": "Análisis avanzado",
-    "triggers": "Disparadores"
+    "triggers": "Disparadores",
+    "roles": "Rols",
+    "cameraManagement": "Administración",
+    "cameraReview": "Revisar"
   },
   "dialog": {
     "unsavedChanges": {
@@ -45,7 +50,15 @@
         "label": "Reproducir vídeos de alertas",
         "desc": "De forma predeterminada, las alertas recientes en el panel en directo se reproducen como pequeños vídeos en bucle. Desactiva esta opción para mostrar solo una imagen estática de las alertas recientes en este dispositivo/navegador."
       },
-      "title": "Panel en directo"
+      "title": "Panel en directo",
+      "displayCameraNames": {
+        "label": "Siempre mostrar nombres de las Camaras",
+        "desc": "Siempre mostrar nombres de cámaras en la vista en vivo multi-cámara."
+      },
+      "liveFallbackTimeout": {
+        "label": "Tiempo de espera de respaldo del reproductor en vivo",
+        "desc": "Cuando la reproducción en vivo de alta calidad de la cámara no está disponible, se usará el modo de ancho de banda bajo después de este número de segundos. Por defecto: 3."
+      }
     },
     "cameraGroupStreaming": {
       "desc": "La configuración de transmisión de cada grupo de cámaras se guarda en el almacenamiento local de tu navegador.",
@@ -73,7 +86,7 @@
       "title": "Diseños guardados",
       "clearAll": "Borrar todos los diseños"
     },
-    "title": "Configuración general",
+    "title": "Ajustes de Interfaz de Usuario",
     "toast": {
       "success": {
         "clearStoredLayout": "Diseño almacenado eliminado para {{cameraName}}",
@@ -227,7 +240,8 @@
           "mustNotBeSameWithCamera": "El nombre de la zona no debe ser el mismo que el nombre de la cámara.",
           "hasIllegalCharacter": "El nombre de la zona contiene caracteres no permitidos.",
           "mustBeAtLeastTwoCharacters": "El nombre de la zona debe tener al menos 2 caracteres.",
-          "mustNotContainPeriod": "El nombre de la zona no debe contener puntos."
+          "mustNotContainPeriod": "El nombre de la zona no debe contener puntos.",
+          "mustHaveAtLeastOneLetter": "El nombre de la Zona debe contener al menos una letra."
         }
       },
       "distance": {
@@ -293,7 +307,7 @@
       "name": {
         "title": "Nombre",
         "inputPlaceHolder": "Introduce un nombre…",
-        "tips": "El nombre debe tener al menos 2 caracteres y no debe ser el nombre de una cámara ni de otra zona."
+        "tips": "El nombre debe tener al menos 2 caracteres, al menos 1 letra y no debe coincidir con el nombre de una cámara ni de otra zona."
       },
       "documentTitle": "Editar Zona - Frigate",
       "clickDrawPolygon": "Haz clic para dibujar un polígono en la imagen.",
@@ -321,7 +335,7 @@
       "point_other": "{{count}} puntos",
       "allObjects": "Todos los objetos",
       "toast": {
-        "success": "La zona ({{zoneName}}) ha sido guardada. Reinicia Frigate para aplicar los cambios."
+        "success": "La zona ({{zoneName}}) ha sido guardada."
       }
     },
     "toast": {
@@ -355,8 +369,8 @@
       },
       "toast": {
         "success": {
-          "noName": "La máscara de movimiento ha sido guardada. Reinicia Frigate para aplicar los cambios.",
-          "title": "{{polygonName}} ha sido guardado. Reinicia Frigate para aplicar los cambios."
+          "noName": "La máscara de movimiento ha sido guardada.",
+          "title": "{{polygonName}} ha sido guardado."
         }
       },
       "documentTitle": "Editar Máscara de Movimiento - Frigate",
@@ -381,8 +395,8 @@
       },
       "toast": {
         "success": {
-          "noName": "La máscara de objetos ha sido guardada. Reinicia Frigate para aplicar los cambios.",
-          "title": "{{polygonName}} ha sido guardado. Reinicia Frigate para aplicar los cambios."
+          "noName": "La máscara de objetos ha sido guardada.",
+          "title": "{{polygonName}} ha sido guardado."
         }
       },
       "point_one": "{{count}} punto",
@@ -504,7 +518,7 @@
       "role": "Rol",
       "noUsers": "No se encontraron usuarios.",
       "changeRole": "Cambiar el rol del usuario",
-      "password": "Contraseña",
+      "password": "Restablecer Contraseña",
       "deleteUser": "Eliminar usuario"
     },
     "dialog": {
@@ -529,7 +543,16 @@
             "veryStrong": "Muy fuerte"
           },
           "match": "Las contraseñas coinciden",
-          "notMatch": "Las contraseñas no coinciden"
+          "notMatch": "Las contraseñas no coinciden",
+          "show": "Mostrar contraseña",
+          "hide": "Ocultar contraseña",
+          "requirements": {
+            "title": "Requisitos de contraseña:",
+            "length": "Al menos 8 caracteres",
+            "uppercase": "Al menos una mayúscula",
+            "digit": "Al menos un número",
+            "special": "Al menos un caracter especial (!@#$%^&*(),.?\":{}|<>)"
+          }
         },
         "newPassword": {
           "title": "Nueva contraseña",
@@ -539,14 +562,23 @@
           }
         },
         "usernameIsRequired": "Se requiere el nombre de usuario",
-        "passwordIsRequired": "Se requiere contraseña"
+        "passwordIsRequired": "Se requiere contraseña",
+        "currentPassword": {
+          "title": "Contraseña actual",
+          "placeholder": "Introduzca su contraseña actual"
+        }
       },
       "passwordSetting": {
         "updatePassword": "Actualizar contraseña para {{username}}",
         "setPassword": "Establecer contraseña",
         "desc": "Crear una contraseña fuerte para asegurar esta cuenta.",
         "cannotBeEmpty": "La contraseña no puede estar vacía",
-        "doNotMatch": "Las contraseñas no coinciden"
+        "doNotMatch": "Las contraseñas no coinciden",
+        "currentPasswordRequired": "Se requiere la contraseña actual",
+        "incorrectCurrentPassword": "La contraseña actual es incorrecta",
+        "passwordVerificationFailed": "Fallo al verificar la contraseña",
+        "multiDeviceWarning": "Cualquier otro dispositivo en el que haya iniciado sesión deberá iniciar sesión nuevamente con {{refresh_time}}.",
+        "multiDeviceAdmin": "También puede obligar a todos los usuarios a volver a autenticarse inmediatamente rotando su secreto JWT."
       },
       "createUser": {
         "desc": "Añadir una nueva cuenta de usuario y especificar un rol para el acceso a áreas de la interfaz de usuario de Frigate.",
@@ -573,7 +605,7 @@
         "desc": "Esta acción no se puede deshacer. Esto eliminará permanentemente la cuenta de usuario y eliminará todos los datos asociados."
       }
     },
-    "updatePassword": "Actualizar contraseña"
+    "updatePassword": "Restablecer contraseña"
   },
   "notification": {
     "title": "Notificaciones",
@@ -740,7 +772,7 @@
   "triggers": {
     "documentTitle": "Disparadores",
     "management": {
-      "title": "Gestión de disparadores",
+      "title": "Disparadores",
       "desc": "Gestionar disparadores para {{camera}}. Usa el tipo de miniatura para activar en miniaturas similares al objeto rastreado seleccionado, y el tipo de descripción para activar en descripciones similares al texto que especifiques."
     },
     "addTrigger": "Añadir Disparador",
@@ -761,7 +793,9 @@
     },
     "actions": {
       "alert": "Marcar como Alerta",
-      "notification": "Enviar Notificación"
+      "notification": "Enviar Notificación",
+      "sub_label": "Añadir una subetiqueta",
+      "attribute": "Añadir atributo"
     },
     "dialog": {
       "createTrigger": {
@@ -773,7 +807,92 @@
         "desc": "Editar configuractión del disparador para cámara {{camera}}"
       },
       "deleteTrigger": {
-        "title": "Eliminar Disparador"
+        "title": "Eliminar Disparador",
+        "desc": "Está seguro de que desea eliminar el disparador <strong>{{triggerName}}</strong>? Esta acción no se puede deshacer."
+      },
+      "form": {
+        "name": {
+          "title": "Nombre",
+          "placeholder": "Asigne nombre a este disparador",
+          "error": {
+            "minLength": "El campo debe tener al menos 2 caracteres.",
+            "invalidCharacters": "El campo sólo puede contener letras, números, guiones bajos, y guiones.",
+            "alreadyExists": "Un disparador con este nombre ya existe para esta cámara."
+          },
+          "description": "Ingrese un nombre o descripción únicos para identificar este disparador"
+        },
+        "enabled": {
+          "description": "Activa o desactiva este disparador"
+        },
+        "type": {
+          "title": "Tipo",
+          "placeholder": "Seleccione tipo de disparador",
+          "description": "Se dispara cuando se detecta una descripción de objeto rastreado similar",
+          "thumbnail": "Se dispara cuando se detecta una miniatura de un objeto rastreado similar"
+        },
+        "friendly_name": {
+          "title": "Nombre amigable",
+          "placeholder": "Nombre o describa este disparador",
+          "description": "Un nombre o texto descriptivo amigable (opcional) para este disparador."
+        },
+        "content": {
+          "title": "Contenido",
+          "imagePlaceholder": "Seleccione una imagen",
+          "textPlaceholder": "Entre contenido de texto",
+          "error": {
+            "required": "El contenido es requrido."
+          },
+          "imageDesc": "Solo se muestran las 100 miniaturas más recientes. Si no encuentra la miniatura que busca, revise los objetos anteriores en Explorar y configure un disparador desde el menú.",
+          "textDesc": "Entre texto para iniciar esta acción cuando la descripción de un objecto seguido similar es detectado."
+        },
+        "threshold": {
+          "title": "Umbral",
+          "error": {
+            "min": "El umbral debe ser al menos 0",
+            "max": "El umbral debe ser al menos 1"
+          },
+          "desc": "Establezca el umbral de similitud para este disparador. Un umbral más alto significa que se requiere una coincidencia más cercana para activar el disparador."
+        },
+        "actions": {
+          "title": "Acciones",
+          "error": {
+            "min": "Al menos una acción debe ser seleccionada."
+          },
+          "desc": "Por defecto, Frigate manda un mensaje MQTT para todos los disparadores. Las subetiquetas añaden el nombre del disparador a la etiqueta del objeto. Los atributos son metadatos de búsqueda que se almacenan por separado en los metadatos del objeto rastreado."
+        }
+      }
+    },
+    "semanticSearch": {
+      "title": "Búsqueda semántica desactivada",
+      "desc": "Búsqueda semántica debe estar activada para usar Disparadores."
+    },
+    "toast": {
+      "success": {
+        "createTrigger": "Disparador {{name}} creado exitosamente.",
+        "updateTrigger": "Disparador {{name}} actualizado exitosamente.",
+        "deleteTrigger": "Disparador {{name}} eliminado exitosamente."
+      },
+      "error": {
+        "createTriggerFailed": "Fallo al crear el disparador: {{errorMessage}}",
+        "updateTriggerFailed": "Fallo al actualizar el disparador: {{errorMessage}}",
+        "deleteTriggerFailed": "Fallo al eliminar el disparador: {{errorMessage}}"
+      }
+    },
+    "wizard": {
+      "title": "Crear disparador",
+      "step1": {
+        "description": "Configure los ajustes básicos para su disparador."
+      },
+      "step2": {
+        "description": "Configure el contenido que activará esta acción."
+      },
+      "step3": {
+        "description": "Configure el umbral y las acciones para este disparador."
+      },
+      "steps": {
+        "nameAndType": "Nombre y tipo",
+        "configureData": "Configurar datos",
+        "thresholdAndActions": "Umbral y acciones"
       }
     }
   },
@@ -796,7 +915,9 @@
         "createRole": "Rol {{role}} creado exitosamente",
         "updateCameras": "Cámara actualizada para el rol {{role}}",
         "deleteRole": "Rol {{role}} eliminado exitosamente",
-        "userRolesUpdated": "{{count}} usuarios asignados a este rol han sido actualizados a 'visor', que tiene acceso a todas las cámaras."
+        "userRolesUpdated_one": "{{count}} usuario asignado a este rol ha sido actualizado a 'revisor', que tiene acceso a todas las cámaras.",
+        "userRolesUpdated_many": "{{count}} usuarios asignados a este rol han sido actualizado a 'revisor', que tienen acceso a todas las cámaras.",
+        "userRolesUpdated_other": "{{count}} usuarios asignados a este rol han sido actualizado a 'revisor', que tienen acceso a todas las cámaras."
       },
       "error": {
         "createRoleFailed": "Creación de rol fallida: {{errorMessage}}",
@@ -836,5 +957,271 @@
         }
       }
     }
+  },
+  "cameraWizard": {
+    "step1": {
+      "errors": {
+        "nameRequired": "El nombre de la cámara es un campo obligatorio",
+        "nameLength": "El nombre de la cámara debe tener 64 caracteres o menos",
+        "invalidCharacters": "El nombre de la cámara contiene caracteres no válidos",
+        "nameExists": "El nombre de la cámara ya existe",
+        "customUrlRtspRequired": "Las URL personalizadas deben comenzar con \"rtsp://\". Se requiere configuración manual para transmisiones de cámara sin RTSP.",
+        "brandOrCustomUrlRequired": "Seleccione una marca de cámara con host/IP o elija \"Otro\" con una URL personalizada"
+      },
+      "description": "Ingrese los detalles de su cámara y elija probar la cámara o seleccionar manualmente la marca.",
+      "cameraName": "Nombre de la Cámara",
+      "cameraNamePlaceholder": "Ejempo: puerta_principal o Vista del Patio trasero",
+      "host": "Nombre Host / Dirección IP",
+      "port": "Puerto",
+      "username": "Nombre de usuario",
+      "usernamePlaceholder": "Opcional",
+      "password": "Contraseña",
+      "passwordPlaceholder": "Opcional",
+      "selectTransport": "Seleccionar protocolo de transporte",
+      "cameraBrand": "Marca de la cámara",
+      "selectBrand": "Seleccione la marca de la cámara para la plantilla de URL",
+      "customUrl": "URL de transmisión personalizada",
+      "brandInformation": "Información de la Marca",
+      "brandUrlFormat": "Para cámaras con formato de URL RTSP como: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://usuario:contraseña@hostname:puerto/ruta",
+      "connectionSettings": "Ajustes de conexión",
+      "detectionMethod": "Método de detección de transmisión",
+      "onvifPort": "Puerto ONVIF",
+      "probeMode": "Cámara de sonda",
+      "manualMode": "Selección manual",
+      "detectionMethodDescription": "Pruebe la cámara con ONVIF (si es compatible) para encontrar las URL de transmisión o seleccione manualmente la marca de la cámara para usar las URL predefinidas. Para introducir una URL RTSP personalizada, elija el método manual y seleccione \"Otro\".",
+      "onvifPortDescription": "Para las cámaras compatibles con ONVIF, normalmente es 80 o 8080.",
+      "useDigestAuth": "Use autenticación digest",
+      "useDigestAuthDescription": "Utilice la autenticación HTTP digest para ONVIF. Algunas cámaras pueden requerir un nombre de usuario y contraseña ONVIF específicos en lugar del usuario administrador estándar."
+    },
+    "step2": {
+      "description": "Pruebe la cámara para detectar transmisiones disponibles o configure ajustes manuales según el método de detección seleccionado.",
+      "testSuccess": "Test de conexión satisfactorio!",
+      "testFailed": "Test de conexión fallido. Revise la informacion proporcionada e inténtelo de nuevo.",
+      "testFailedTitle": "Test fallido",
+      "streamDetails": "Detalles de la transmisión",
+      "probing": "Probando la cámara...",
+      "retry": "Re-intentar",
+      "testing": {
+        "probingMetadata": "Probando metadatos de la cámara...",
+        "fetchingSnapshot": "Obteniendo una instantánea de la cámara..."
+      },
+      "probeFailed": "No se pudo alcanzar la cámara: {{error}}",
+      "probingDevice": "Probando el dispositivo...",
+      "probeSuccessful": "Prueba satisfactoria",
+      "probeError": "Error durante la prueba",
+      "probeNoSuccess": "Prueba fallida",
+      "deviceInfo": "Información de Dispositivo",
+      "manufacturer": "Fabricante",
+      "model": "Modelo",
+      "firmware": "Firmware",
+      "profiles": "Perfiles",
+      "ptzSupport": "Soporte PTZ",
+      "autotrackingSupport": "Soporte auto-seguimiento",
+      "presets": "Preestablecidos",
+      "rtspCandidates": "Candidatos RTSP",
+      "rtspCandidatesDescription": "Se encontraron las siguientes URL RTSP durante el sondeo de la cámara. Pruebe la conexión para ver los metadatos de la transmisión.",
+      "noRtspCandidates": "No se encontraron URL RTSP de la cámara. Es posible que sus credenciales sean incorrectas o que la cámara no sea compatible con ONVIF o el método utilizado para obtener las URL RTSP. Vuelva atrás e introduzca la URL RTSP manualmente.",
+      "candidateStreamTitle": "Candidato {{number}}",
+      "useCandidate": "Uso",
+      "uriCopy": "Copiar",
+      "uriCopied": "URI copiada al portapapeles",
+      "testConnection": "Probar conexión",
+      "toggleUriView": "Haga clic para alternar la vista completa de URI",
+      "connected": "Conectada",
+      "notConnected": "No conectada",
+      "errors": {
+        "hostRequired": "nombre host/dirección IP requeridos"
+      }
+    },
+    "step3": {
+      "description": "Configure los roles de transmisión y agregue transmisiones adicionales para su cámara.",
+      "streamsTitle": "Transmisiones de cámara",
+      "addStream": "Añadir ruta de transmisión",
+      "addAnotherStream": "Añadir otra ruta de transmisión",
+      "streamTitle": "Transmisión {{number}}",
+      "streamUrl": "URL de transmisión",
+      "streamUrlPlaceholder": "rtsp://usuario:contraseña@nombrehost:puerto/ruta",
+      "selectStream": "Seleccione una transmisión",
+      "searchCandidates": "Búsqueda de candidatos...",
+      "noStreamFound": "No se ha encontrado transmisión",
+      "url": "URL",
+      "resolution": "Resolución",
+      "selectResolution": "Seleccione resolución",
+      "quality": "Calidad",
+      "selectQuality": "Seleccione calidad",
+      "roles": "Roles",
+      "roleLabels": {
+        "detect": "Detección de objetos",
+        "record": "Grabando",
+        "audio": "Audio"
+      },
+      "testStream": "Pruebe la conexión",
+      "testSuccess": "Test de transmisión satisfactorio!",
+      "testFailed": "Test de transmisión fallido",
+      "testFailedTitle": "Prueba falló",
+      "connected": "Conectado",
+      "notConnected": "No conectado",
+      "featuresTitle": "Características",
+      "go2rtc": "Reduzca conexiones hacia la cámara",
+      "detectRoleWarning": "al menos una transmisión debe tener el roll de detección para continuar.",
+      "rolesPopover": {
+        "title": "Roles de transmisión",
+        "record": "Guarda segmentos de la transmisión de video según la configuración.",
+        "detect": "Hilo principal para detección de objetos.",
+        "audio": "Hilo para detección basada en audio."
+      },
+      "featuresPopover": {
+        "title": "Características de transmisión",
+        "description": "Utilice la retransmisión go2rtc para reducir las conexiones a su cámara."
+      }
+    },
+    "step4": {
+      "description": "Validación y análisis finales antes de guardar la nueva cámara. Conecte cada transmisión antes de guardar.",
+      "validationTitle": "Validacion de transmisión",
+      "connectAllStreams": "Conectar todas las transmisiones",
+      "reconnectionSuccess": "Reconexión satisfactoria.",
+      "reconnectionPartial": "Algunas transmisiones no pudieron reconectarse.",
+      "streamUnavailable": "Vista previa de transmisión no disponible",
+      "reload": "Recargar",
+      "connecting": "Conectando...",
+      "streamTitle": "Transmisión {{number}}",
+      "valid": "Válido",
+      "failed": "Falló",
+      "notTested": "No probado",
+      "connectStream": "Conectar",
+      "connectingStream": "Conectando",
+      "disconnectStream": "Desconectar",
+      "estimatedBandwidth": "Ancho de banda estimado",
+      "roles": "Roles",
+      "ffmpegModule": "Utilice el modo de compatibilidad de transmisión",
+      "ffmpegModuleDescription": "Si la transmisión no carga después de varios intentos, intenta activar esta opción. Al activarla, Frigate usará el módulo ffmpeg con go2rtc. Esto puede mejorar la compatibilidad con algunas transmisiones de cámara.",
+      "none": "Ninguna",
+      "error": "Error",
+      "streamValidated": "Transmisión {{number}} validada correctamente",
+      "streamValidationFailed": "Stream {{number}} falló la validación",
+      "saveAndApply": "Guardar nueva cámara",
+      "saveError": "Configuración inválida. Revise la configuración.",
+      "issues": {
+        "title": "Validación de transmisión",
+        "videoCodecGood": "El codec de video es {{codec}}.",
+        "audioCodecGood": "El codec de audio es {{codec}}.",
+        "resolutionHigh": "Una resolución de {{resolution}} puede provocar un mayor uso de recursos.",
+        "resolutionLow": "Una resolución de {{resolution}} puede ser demasiado baja para una detección confiable de objetos pequeños.",
+        "noAudioWarning": "No se detectó audio para esta transmisión, las grabaciones no tendrán audio.",
+        "audioCodecRecordError": "El códec de audio AAC es necesario para admitir audio en grabaciones.",
+        "audioCodecRequired": "Se requiere una transmisión de audio para admitir la detección de audio.",
+        "restreamingWarning": "Reducir las conexiones a la cámara para la transmisión de grabación puede aumentar ligeramente el uso de la CPU.",
+        "brands": {
+          "reolink-rtsp": "No se recomienda usar Reolink RTSP. Active HTTP en la configuración del firmware de la cámara y reinicie el asistente.",
+          "reolink-http": "Las transmisiones HTTP de Reolink deberían usar FFmpeg para una mejor compatibilidad. Active \"Usar modo de compatibilidad de transmisiones\" para esta transmisión."
+        },
+        "dahua": {
+          "substreamWarning": "La subtransmisión 1 está limitada a una resolución baja. Muchas cámaras Dahua/Amcrest/EmpireTech admiten subtransmisiones adicionales que deben habilitarse en la configuración de la cámara. Se recomienda comprobar y utilizar dichas transmisiones si están disponibles."
+        },
+        "hikvision": {
+          "substreamWarning": "La subtransmisión 1 está limitada a una resolución baja. Muchas cámaras Hikvision admiten subtransmisiones adicionales que deben habilitarse en la configuración de la cámara. Se recomienda comprobar y utilizar dichas transmisiones si están disponibles."
+        }
+      }
+    },
+    "title": "Añadir cámara",
+    "description": "Siga los siguientes pasos para agregar una nueva cámara a su instalación de Frigate.",
+    "steps": {
+      "nameAndConnection": "Nombre y conexión",
+      "probeOrSnapshot": "Sonda de prueba o hacer instantánea",
+      "streamConfiguration": "Configuración de transmisión",
+      "validationAndTesting": "Validación y pruebas"
+    },
+    "save": {
+      "success": "La nueva cámara {{cameraName}} se guardó correctamente.",
+      "failure": "Error al guardar {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Resolución",
+      "video": "Video",
+      "audio": "Audio",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Proporcione una URL de transmisión válida",
+      "testFailed": "Prueba de transmisión fallida: {{error}}"
+    }
+  },
+  "cameraManagement": {
+    "title": "Administrar cámaras",
+    "addCamera": "Añadir nueva cámara",
+    "editCamera": "Editar cámara:",
+    "selectCamera": "Seleccione una cámara",
+    "backToSettings": "Volver a configuración de la cámara",
+    "streams": {
+      "title": "Habilitar/deshabilitar cámaras",
+      "desc": "Desactiva temporalmente una cámara hasta que Frigate se reinicie. Desactivar una cámara detiene por completo el procesamiento de las transmisiones de Frigate. La detección, la grabación y la depuración no estarán disponibles.<br /> <em>Nota: Esto no desactiva las retransmisiones de go2rtc.</em>"
+    },
+    "cameraConfig": {
+      "add": "Añadir cámara",
+      "edit": "Editar cámara",
+      "description": "Configure los ajustes de la cámara, incluidas las entradas de transmisión y los roles.",
+      "name": "Nombre de la cámara",
+      "nameRequired": "El nombre de la cámara es obligatorio",
+      "nameLength": "El nombre de la cámara debe ser inferior a 64 caracteres.",
+      "namePlaceholder": "Ejemplo: puerta_principal o Vista general de patio trasero",
+      "enabled": "Habilitada",
+      "ffmpeg": {
+        "inputs": "Transmisiones entrantes",
+        "path": "Ruta de transmisión",
+        "pathRequired": "La ruta de transmisión es requerida",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "Roles",
+        "rolesRequired": "Al menos un rol es requerido",
+        "rolesUnique": "Cada rol (audio, detección, grabación) puede únicamente asignarse a una transmisión",
+        "addInput": "Añadir transmision entrante",
+        "removeInput": "Elimine transmisión entrante",
+        "inputsRequired": "Se requiere al menos una transmisión entrante"
+      },
+      "go2rtcStreams": "Transmisiones go2rtc",
+      "streamUrls": "URLs de transmisión",
+      "addUrl": "Añadir URL",
+      "addGo2rtcStream": "Añadir transmisión go2rtc",
+      "toast": {
+        "success": "Cámara {{cameraName}} guardada correctamente"
+      }
+    }
+  },
+  "cameraReview": {
+    "title": "Configuración de revisión de la cámara",
+    "object_descriptions": {
+      "title": "Descripciones de objetos de IA generativa",
+      "desc": "Habilite o deshabilite temporalmente las descripciones de objetos generadas por IA para esta cámara. Al deshabilitarlas, no se solicitarán descripciones generadas por IA para los objetos rastreados en esta cámara."
+    },
+    "review_descriptions": {
+      "title": "Revisión de descripciones de IA generativa",
+      "desc": "Habilita o deshabilita temporalmente las revisión de descripciones generadas por IA para esta cámara. Al deshabilitarlas, no se solicitarán descripciones generadas por IA para los elementos de revisión de esta cámara."
+    },
+    "review": {
+      "title": "Revisar",
+      "desc": "Habilite o deshabilite temporalmente las alertas y detecciones de esta cámara hasta que Frigate se reinicie. Al deshabilitarlas, no se generarán nuevas revisiones. ",
+      "alerts": "Alertas ",
+      "detections": "Detecciones "
+    },
+    "reviewClassification": {
+      "title": "Clasificación de la revisión",
+      "desc": "Frigate clasifica los elementos de revisión como Alertas y Detecciones. De forma predeterminada, todos los objetos de <em>persona</em> y <em>coche</em> se consideran Alertas. Puede refinar la categorización de sus elementos de revisión configurando las zonas requeridas para ellos.",
+      "noDefinedZones": "No hay Zonas definidas para esta cámara.",
+      "objectAlertsTips": "Todos los objetos {{alertsLabels}} en {{cameraName}} se mostrarán como alertas.",
+      "zoneObjectAlertsTips": "Todos los objetos {{alertsLabels}} detectados en {{zone}} en {{cameraName}} se mostrarán como alertas.",
+      "objectDetectionsTips": "Todos los objetos {{detectionsLabels}} no categorizados en {{cameraName}} se mostrarán como Detecciones independientemente de la zona en la que se encuentren.",
+      "zoneObjectDetectionsTips": {
+        "text": "Todos los objetos {{detectionsLabels}} no categorizados en {{zone}} en {{cameraName}} se mostrarán como Detecciones.",
+        "notSelectDetections": "Todos los objetos {{detectionsLabels}} detectados en {{zone}} en {{cameraName}} que no estén categorizados como Alertas se mostrarán como Detecciones independientemente de la zona en la que se encuentren.",
+        "regardlessOfZoneObjectDetectionsTips": "Todos los objetos {{detectionsLabels}} no categorizados en {{cameraName}} se mostrarán como Detecciones independientemente de la zona en la que se encuentren."
+      },
+      "unsavedChanges": "Configuración de clasificación de revisión no guardadas para {{camera}}",
+      "selectAlertsZones": "Seleccione Zonas para Alertas",
+      "selectDetectionsZones": "Seleccione Zonas para la Detección",
+      "limitDetections": "Limite la detección a zonas específicas",
+      "toast": {
+        "success": "Se ha guardado la configuración de la clasificación de revisión. Reinicie Frigate para aplicar los cambios."
+      }
+    }
   }
 }
diff --git a/web/public/locales/es/views/system.json b/web/public/locales/es/views/system.json
index 5b407bb91..0b441592e 100644
--- a/web/public/locales/es/views/system.json
+++ b/web/public/locales/es/views/system.json
@@ -76,12 +76,22 @@
       },
       "gpuMemory": "Memoria de GPU",
       "npuMemory": "Memoria de NPU",
-      "npuUsage": "Uso de NPU"
+      "npuUsage": "Uso de NPU",
+      "intelGpuWarning": {
+        "title": "Aviso de estadísticas Intel GPU",
+        "message": "Estadísticas de GPU no disponibles",
+        "description": "Este es un error conocido en las herramientas de informes de estadísticas de GPU de Intel (intel_gpu_top). El error se produce y muestra repetidamente un uso de GPU del 0 %, incluso cuando la aceleración de hardware y la detección de objetos se ejecutan correctamente en la (i)GPU. No se trata de un error de Frigate. Puede reiniciar el host para solucionar el problema temporalmente y confirmar que la GPU funciona correctamente. Esto no afecta al rendimiento."
+      }
     },
     "otherProcesses": {
       "title": "Otros Procesos",
       "processCpuUsage": "Uso de CPU del Proceso",
-      "processMemoryUsage": "Uso de Memoria del Proceso"
+      "processMemoryUsage": "Uso de Memoria del Proceso",
+      "series": {
+        "go2rtc": "go2rtc",
+        "recording": "grabación",
+        "review_segment": "revisar segmento"
+      }
     }
   },
   "storage": {
@@ -105,7 +115,7 @@
       "unusedStorageInformation": "Información de Almacenamiento No Utilizado"
     },
     "shm": {
-      "title": "Asignación SHM (memoria compartida)",
+      "title": "Asignación de SHM (memoria compartida)",
       "warning": "El tamaño actual de SHM de {{total}}MB es muy pequeño. Aumente al menos a {{min_shm}}MB."
     }
   },
@@ -169,9 +179,19 @@
       "plate_recognition": "Reconocimiento de Matrículas",
       "yolov9_plate_detection": "Detección de Matrículas YOLOv9",
       "image_embedding": "Incrustación de Imágenes",
-      "yolov9_plate_detection_speed": "Velocidad de Detección de Matrículas YOLOv9"
+      "yolov9_plate_detection_speed": "Velocidad de Detección de Matrículas YOLOv9",
+      "review_description": "Revisión de descripción",
+      "review_description_speed": "Velocidad de revisión de la descripción",
+      "review_description_events_per_second": "Revisión de la descripción",
+      "object_description": "Descripción de Objeto",
+      "object_description_speed": "Velocidad de descripción de objeto",
+      "object_description_events_per_second": "Descripción de objeto",
+      "classification": "Clasificación de {{name}}",
+      "classification_speed": "Velocidad de clasificación de {{name}}",
+      "classification_events_per_second": "Clasificacion de eventos por segundo de {{name}}"
     },
-    "title": "Enriquecimientos"
+    "title": "Enriquecimientos",
+    "averageInf": "Tiempo promedio de inferencia"
   },
   "stats": {
     "ffmpegHighCpuUsage": "{{camera}} tiene un uso elevado de CPU por FFmpeg ({{ffmpegAvg}}%)",
diff --git a/web/public/locales/et/audio.json b/web/public/locales/et/audio.json
new file mode 100644
index 000000000..b0dfec660
--- /dev/null
+++ b/web/public/locales/et/audio.json
@@ -0,0 +1,117 @@
+{
+  "bicycle": "Jalgratas",
+  "car": "Auto",
+  "motorcycle": "Mootorratas",
+  "bus": "Buss",
+  "train": "Rong",
+  "boat": "Väike laev",
+  "bird": "Lind",
+  "cat": "Kass",
+  "dog": "Koer",
+  "horse": "Hobune",
+  "sheep": "Lammas",
+  "skateboard": "Rula",
+  "breathing": "Hingamine",
+  "wheeze": "Kähinal hingamine",
+  "snoring": "Norskamine",
+  "pets": "Lemmikloomad",
+  "animal": "Loom",
+  "children_playing": "Laste mängimine",
+  "crowd": "Rahvamass",
+  "applause": "Plaksutamine",
+  "heartbeat": "Südamelöök",
+  "heart_murmur": "Südamekahin",
+  "clapping": "Käteplagin",
+  "finger_snapping": "Sõrmede naksutamine",
+  "hands": "Käed",
+  "camera": "Kaamera",
+  "speech": "Kõne",
+  "babbling": "Lobisemine",
+  "yell": "Karjumine",
+  "bellow": "Röökimine",
+  "whoop": "Kisamine",
+  "whispering": "Sosistamine",
+  "laughter": "Naermine",
+  "snicker": "Itsitamine",
+  "sigh": "Ohkamine",
+  "crying": "Nutmine",
+  "singing": "Laulmine",
+  "choir": "Koorilaulmine",
+  "yodeling": "Joodeldamine",
+  "chant": "Skandeerimine",
+  "mantra": "Mantra lugemine",
+  "child_singing": "Lastelaul",
+  "whistling": "Vilistamine",
+  "gasp": "Hingeldamine",
+  "pant": "Ähkimine",
+  "door": "Uks",
+  "mouse": "Hiir",
+  "keyboard": "Klahvistik",
+  "sink": "Kraanikauss",
+  "blender": "Kannmikser",
+  "clock": "Kell",
+  "scissors": "Käärid",
+  "hair_dryer": "Föön",
+  "toothbrush": "Hambahari",
+  "vehicle": "Sõiduk",
+  "bark": "Puukoor",
+  "goat": "Kits",
+  "snort": "Nuuskamine",
+  "cough": "Köhimine",
+  "throat_clearing": "Kurgu puhtaksköhatamine",
+  "sneeze": "Aevastamine",
+  "sniff": "Nuuskimine",
+  "run": "Jooksmine",
+  "cheering": "Hõiskamine",
+  "synthetic_singing": "Sünteesitud laulmine",
+  "rapping": "Räppimine",
+  "humming": "Ümisemine",
+  "groan": "Oigamine",
+  "grunt": "Röhatamine",
+  "chatter": "Jutuvada",
+  "shuffle": "Jalgade lohistamine",
+  "footsteps": "Sammumise heli",
+  "chewing": "Närimine",
+  "biting": "Hammustamine",
+  "gargling": "Kuristamine",
+  "stomach_rumble": "Kõhukorin",
+  "burping": "Röhitsemine",
+  "hiccup": "Luksumine",
+  "fart": "Peeretamine",
+  "yip": "Haukumine heleda häälega",
+  "howl": "Ulgumine",
+  "bow_wow": "Haukumise imiteerimine",
+  "growling": "Urisemine",
+  "whimper_dog": "Koera nuuksumine",
+  "purr": "Nurrumine",
+  "meow": "Näugumine",
+  "hiss": "Sisisemine",
+  "caterwaul": "Kräunumine",
+  "livestock": "Kariloomad",
+  "bleat": "Määgimine",
+  "dogs": "Koerad",
+  "rats": "Rotid",
+  "patter": "Pladin",
+  "insect": "Putukas",
+  "cricket": "Ritsikas",
+  "mosquito": "Sääsk",
+  "fly": "Kärbes",
+  "clip_clop": "Kabjaklobin",
+  "neigh": "Hirnumine",
+  "cattle": "Loomakari",
+  "moo": "Ammumine",
+  "cowbell": "Lehmakell",
+  "pig": "Siga",
+  "oink": "Röhkimine",
+  "fowl": "Kodulinnud",
+  "chicken": "Kana",
+  "cluck": "Kanade loksumine",
+  "cock_a_doodle_doo": "Kukeleegu",
+  "turkey": "Kalkun",
+  "gobble": "Kalkuni kulistamine",
+  "duck": "Part",
+  "quack": "Prääksumine",
+  "goose": "Hani",
+  "honk": "Kaagatamine",
+  "wild_animals": "Metsloomad"
+}
diff --git a/web/public/locales/et/common.json b/web/public/locales/et/common.json
new file mode 100644
index 000000000..ae2d13944
--- /dev/null
+++ b/web/public/locales/et/common.json
@@ -0,0 +1,298 @@
+{
+  "time": {
+    "untilForTime": "Kuni {{time}}",
+    "today": "Täna",
+    "untilForRestart": "Kuni Frigate käivitub uuesti.",
+    "untilRestart": "Kuni uuesti käivitamiseni",
+    "ago": "{{timeAgo}} tagasi",
+    "justNow": "Hetk tagasi",
+    "yesterday": "Eile",
+    "last7": "Viimase 7 päeva jooksul",
+    "last14": "Viimase 14 päeva jooksul",
+    "last30": "Viimase 30 päeva jooksul",
+    "thisWeek": "Sel nädalal",
+    "lastWeek": "Eelmisel nädalal",
+    "thisMonth": "Sel kuul",
+    "lastMonth": "Eelmisel kuul",
+    "5minutes": "5 minutit",
+    "10minutes": "10 minutit",
+    "30minutes": "30 minutit",
+    "1hour": "1 tund",
+    "12hours": "12 tundi",
+    "24hours": "24 tundi",
+    "pm": "pl",
+    "am": "el",
+    "yr": "{{time}} a",
+    "year_one": "{{time}} aasta",
+    "year_other": "{{time}} aastat",
+    "mo": "{{time}} k",
+    "month_one": "{{time}} kuu",
+    "month_other": "{{time}} kuud",
+    "d": "{{time}} pv",
+    "day_one": "{{time}} päev",
+    "day_other": "{{time}} päeva",
+    "h": "{{time}} t",
+    "hour_one": "{{time}} tund",
+    "hour_other": "{{time}} tundi",
+    "m": "{{time}} min",
+    "minute_one": "{{time}} minut",
+    "minute_other": "{{time}} minutit",
+    "s": "{{time}} sek",
+    "second_one": "{{time}} sekund",
+    "second_other": "{{time}} sekundit",
+    "formattedTimestampHourMinute": {
+      "24hour": "HH:mm",
+      "12hour": "hh:mm aaa"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "24hour": "HH:mm:ss",
+      "12hour": "hh:mm:ss aaa"
+    },
+    "formattedTimestampFilename": {
+      "12hour": "yy-MM-dd-hh-mm-ss-a",
+      "24hour": "yy-MM-dd-HH-mm-ss"
+    },
+    "formattedTimestamp": {
+      "12hour": "MMM d, hh:mm:ss aaa",
+      "24hour": "MMM d, HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "dd.MM hh:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "MMM d, hh:mm aaa",
+      "24hour": "MMM d, HH:mm"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "MMM d, yyyy",
+      "24hour": "MMM d, yyyy"
+    },
+    "inProgress": "Töös",
+    "invalidStartTime": "Vigane algusaeg",
+    "invalidEndTime": "Vigane lõpuaeg",
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "dd. MMM yyyy, hh:mm aaa",
+      "24hour": "dd. MMM yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "dd. MMM"
+  },
+  "menu": {
+    "user": {
+      "setPassword": "Lisa salasõna",
+      "logout": "Logi välja",
+      "title": "Kasutaja",
+      "account": "Kasutajakonto",
+      "current": "Praegune kasutaja: {{user}}",
+      "anonymous": "anonüümne"
+    },
+    "live": {
+      "allCameras": "Kõik kaamerad",
+      "title": "Otseülekanne",
+      "cameras": {
+        "title": "Kaamerad",
+        "count_one": "{{count}} kaamera",
+        "count_other": "{{count}} kaamerat"
+      }
+    },
+    "settings": "Seadistused",
+    "language": {
+      "withSystem": {
+        "label": "Kasuta keele jaoks süsteemi seadistusi"
+      },
+      "en": "English (inglise keel)",
+      "es": "Español (hispaania keel)",
+      "zhCN": "简体中文 (hiina keel lihtsustatud hieroglüüfidega)",
+      "hi": "हिन्दी (hindi keel)",
+      "fr": "Français (prantsuse keel)",
+      "ar": "العربية (araabia keel)",
+      "pt": "Português (portugali keel)",
+      "ptBR": "Português brasileiro (Brasiilia portugali keel)",
+      "ru": "Русский (vene keel)",
+      "de": "Deutsch (saksa keel)",
+      "ja": "日本語 (jaapani keel)",
+      "tr": "Türkçe (türgi keel)",
+      "it": "Italiano (itaalia keel)",
+      "nl": "Nederlands (hollandi keel)",
+      "sv": "Svenska (rootsi keel)",
+      "cs": "Čeština (tšehhi keel)",
+      "nb": "Norsk Bokmål (norra bokmål)",
+      "ko": "한국어 (korea keel)",
+      "vi": "Tiếng Việt (vietnami keel)",
+      "fa": "فارسی (pärsia keel)",
+      "pl": "Polski (poola keel)",
+      "uk": "Українська (ukraina keel)",
+      "he": "עברית (heebrea keel)",
+      "el": "Ελληνικά (kreeka keel)",
+      "ro": "Română (rumeenia keel)",
+      "hu": "Magyar (ungari keel)",
+      "fi": "Suomi (soome keel)",
+      "da": "Dansk (taani keel)",
+      "sk": "Slovenčina (slovaki keel)",
+      "yue": "粵語 (kantoni keel)",
+      "th": "ไทย (tai keel)",
+      "ca": "Català (katalaani keel)",
+      "sr": "Српски (serbia keel)",
+      "sl": "Slovenščina (sloveeni keel)",
+      "lt": "Lietuvių (leedu keel)",
+      "bg": "Български (bulgaaria keel)",
+      "gl": "Galego (galeegi keel)",
+      "id": "Bahasa Indonesia (indoneesia keel)",
+      "ur": "اردو (urdu keel)"
+    },
+    "system": "Süsteem",
+    "systemMetrics": "Süsteemi meetrika",
+    "configuration": "Seadistused",
+    "systemLogs": "Süsteemi logid",
+    "configurationEditor": "Seadistuste haldur",
+    "languages": "Keeled",
+    "appearance": "Välimus",
+    "darkMode": {
+      "label": "Tume kujundus",
+      "light": "Hele kujundus",
+      "dark": "Tume kujundus",
+      "withSystem": {
+        "label": "Kasuta süsteemi seadistusi heleda või tumeda kujunduse jaoks"
+      }
+    },
+    "withSystem": "Süsteem",
+    "theme": {
+      "label": "Kujundus",
+      "blue": "Sinine",
+      "green": "Roheline",
+      "nord": "Põhjala",
+      "red": "Punane",
+      "highcontrast": "Väga kontrastne",
+      "default": "Vaikimisi kujundus"
+    },
+    "help": "Abiteave",
+    "documentation": {
+      "title": "Dokumentatsioon",
+      "label": "Frigate'i dokumentatsioon"
+    },
+    "restart": "Käivita Frigate uuesti",
+    "review": "Ülevaatamine",
+    "explore": "Uuri",
+    "export": "Ekspordi",
+    "uiPlayground": "Leht kasutajaliidese katsetamiseks",
+    "faceLibrary": "Näoteek",
+    "classification": "Klassifikatsioon"
+  },
+  "unit": {
+    "speed": {
+      "mph": "ml/t",
+      "kph": "km/t"
+    },
+    "data": {
+      "kbps": "kB/sek",
+      "mbps": "MB/sek",
+      "gbps": "GB/sek",
+      "kbph": "kB/t",
+      "mbph": "MB/t",
+      "gbph": "GB/t"
+    },
+    "length": {
+      "feet": "jalga",
+      "meters": "meetrit"
+    }
+  },
+  "button": {
+    "apply": "Rakenda",
+    "reset": "Lähtesta",
+    "done": "Valmis",
+    "enabled": "Kasutusel",
+    "enable": "Võta kasutusele",
+    "disabled": "Pole kasutusel",
+    "disable": "Eemalda kasutuselt",
+    "save": "Salvesta",
+    "saving": "Salvestan…",
+    "cancel": "Katkesta",
+    "close": "Sulge",
+    "copy": "Kopeeri",
+    "back": "Tagasi",
+    "history": "Ajalugu",
+    "fullscreen": "Täisekraanivaade",
+    "exitFullscreen": "Välju täisekraanivaatest",
+    "pictureInPicture": "Pilt pildis vaade",
+    "twoWayTalk": "Kahepoolne kõneside",
+    "cameraAudio": "Kaamera heli",
+    "on": "SEES",
+    "off": "VÄLJAS",
+    "edit": "Muuda",
+    "copyCoordinates": "Kopeeri koordinaadid",
+    "delete": "Kustuta",
+    "yes": "Jah",
+    "no": "Ei",
+    "download": "Laadi alla",
+    "info": "Teave",
+    "suspended": "Peata",
+    "unsuspended": "Lõpeta peatamine",
+    "play": "Esita",
+    "unselect": "Eemalda valik",
+    "export": "Ekspordi",
+    "deleteNow": "Kustuta kohe",
+    "next": "Järgmine",
+    "continue": "Jätka"
+  },
+  "label": {
+    "back": "Mine tagasi",
+    "hide": "Peida: {{item}}",
+    "show": "Näita: {{item}}",
+    "all": "Kõik",
+    "ID": "Tunnus",
+    "none": "Puudub",
+    "other": "Muu"
+  },
+  "list": {
+    "two": "{{0}} ja {{1}}",
+    "many": "{{items}} ja {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "Valikuline",
+    "internalID": "Seadistustes ja andmebaasis kasutatav Frigate'i sisemine tunnus"
+  },
+  "toast": {
+    "copyUrlToClipboard": "Võrguaadress on kopeeritud lõikelauale.",
+    "save": {
+      "title": "Salvesta",
+      "error": {
+        "title": "Seadistuste muudatuste salvestamine ei õnnestunud: {{errorMessage}}",
+        "noMessage": "Seadistuste muudatuste salvestamine ei õnnestunud"
+      }
+    }
+  },
+  "role": {
+    "title": "Roll",
+    "admin": "Peakasutaja",
+    "viewer": "Vaataja",
+    "desc": "Peakasutajatel on Frigate'i kasutajaliideses kõik õigused. Vaatajad võivad vaid kaamerate pilti vaadata, objekte ülevaadata ning otsida arhiivist vanu videoid."
+  },
+  "pagination": {
+    "label": "lehenummerdus",
+    "previous": {
+      "title": "Eelmine",
+      "label": "Mine eelmisele lehele"
+    },
+    "next": {
+      "title": "Järgmine",
+      "label": "Mine järgmisele lehele"
+    },
+    "more": "Järgnevad lehed"
+  },
+  "accessDenied": {
+    "documentTitle": "Ligipääs on keelatud - Frigate",
+    "title": "Ligipääs on keelatud",
+    "desc": "Sul pole õigusi selle lehe vaatamiseks."
+  },
+  "notFound": {
+    "documentTitle": "Lehte ei leidu - Frigate",
+    "title": "404",
+    "desc": "Veebilehte ei leidu"
+  },
+  "selectItem": "Vali {{item}}",
+  "readTheDocumentation": "Loe dokumentatsiooni ja juhendit",
+  "information": {
+    "pixels": "{{area}} px"
+  }
+}
diff --git a/web/public/locales/et/components/auth.json b/web/public/locales/et/components/auth.json
new file mode 100644
index 000000000..f5588cd25
--- /dev/null
+++ b/web/public/locales/et/components/auth.json
@@ -0,0 +1,16 @@
+{
+  "form": {
+    "password": "Salasõna",
+    "errors": {
+      "passwordRequired": "Salasõna on vajalik",
+      "usernameRequired": "Kasutajanimi on vajalik",
+      "rateLimit": "Lubatud päringute ülempiir on käes. Proovi hiljem uuesti.",
+      "loginFailed": "Sisselogimine ei õnnestunud",
+      "unknownError": "Tundmatu viga. Lisateavet leiad logidest.",
+      "webUnknownError": "Tundmatu viga. Lisateavet leiad konsooli logidest."
+    },
+    "user": "Kasutajanimi",
+    "login": "Logi sisse",
+    "firstTimeLogin": "Kas proovid esimest korda logida sisse? Kasutajanimi ja salasõna leiduvad Frigate'i logides."
+  }
+}
diff --git a/web/public/locales/et/components/camera.json b/web/public/locales/et/components/camera.json
new file mode 100644
index 000000000..e5df620ec
--- /dev/null
+++ b/web/public/locales/et/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Kaameragrupid",
+    "camera": {
+      "setting": {
+        "label": "Kaamerate voogedastuse seadistused",
+        "title": "Voogedastuse seadistused: {{cameraName}}",
+        "stream": "Voogedastus",
+        "placeholder": "Vali videovoog",
+        "streamMethod": {
+          "label": "Voogedastuse meetod",
+          "placeholder": "Vali voogedastuse meetod",
+          "method": {
+            "noStreaming": {
+              "label": "Voogedastust pole",
+              "desc": "Kaamerapildid uuenevad kord minutis ja voogedastust pole."
+            },
+            "smartStreaming": {
+              "label": "Nutikas voogedastus (soovituslik)",
+              "desc": "Nutika voogedastuse puhul ilma igasuguse tuvastatava tegevuseta kaamerapildid uuenevad kord minutis ja voogedastust pole. Sellega säästad ribalaiud ja kuid ressursse. Tegevuse tuvastamisel käivitub tavapärane voogedastus."
+            },
+            "continuousStreaming": {
+              "label": "Pidev voogedastus",
+              "desc": {
+                "title": "Kaamera voogedastus toimub töölauavaates pidevalt, seda ka siis, kui seal pole mingit tegevust tuvastatud.",
+                "warning": "Pidev voogedastus võib põhjustada suurt andmeedastuse mahutu ja tekitada jõudlusprobleeme. Kasuta seda võimalust ettevaatlikult."
+              }
+            }
+          }
+        },
+        "audioIsAvailable": "Selle voogedastuse puhul on saadaval ka heliriba",
+        "audioIsUnavailable": "Selle voogedastuse puhul pole heliriba saadaval",
+        "compatibilityMode": {
+          "label": "Ühilduvusrežiim",
+          "desc": "Kasuta seda võimalust vaid olukorras, kus kaamera voogedastuses paistab visuaalseid vigu ja pidi paremas ääres on diagonaalne joon."
+        },
+        "desc": "Muuda selle kaamergrupi voogedastuse valikuid töölauavaates.<em>Need seadistused on seadme- ja veebibrauserikohased.</em>",
+        "audio": {
+          "tips": {
+            "title": "See kaamera peab oskama heli jäädvustada ja edastada ja go2rtc kontekstis seadistatud selle voogedastuse jaoks."
+          }
+        }
+      },
+      "birdseye": "Vaade linnulennult"
+    },
+    "add": "Lisa kaameragrupp",
+    "edit": "Muuda kaameragruppi",
+    "delete": {
+      "label": "Kustuta kaameragrupp",
+      "confirm": {
+        "title": "Kinnita kustutamine",
+        "desc": "Kas oled kindel, et soovid kustutada kaameragrupi: <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "Nimi",
+      "placeholder": "Sisesta nimi…",
+      "errorMessage": {
+        "mustLeastCharacters": "Kaameragrupi nimi peab olema vähemalt 2 tähemärki pikk.",
+        "exists": "Sellise nimega kaameragrupp on juba olemas.",
+        "nameMustNotPeriod": "Kaameragrupi nimes ei tohi olla tühikuid.",
+        "invalid": "Vigane kaameragrupi nimi."
+      }
+    },
+    "cameras": {
+      "label": "Kaamerad",
+      "desc": "Vali kaamerad selle grupi jaoks."
+    },
+    "icon": "Ikoon",
+    "success": "Kaameragrupp ({{name}}) on salvestatud."
+  },
+  "debug": {
+    "options": {
+      "label": "Seadistused",
+      "title": "Valikud",
+      "showOptions": "Näita valikuid",
+      "hideOptions": "Peida valikud"
+    },
+    "boundingBox": "Piirdekast",
+    "timestamp": "Ajatempel",
+    "zones": "Tsoonid",
+    "mask": "Mask",
+    "motion": "Liikumine",
+    "regions": "Alad"
+  }
+}
diff --git a/web/public/locales/et/components/dialog.json b/web/public/locales/et/components/dialog.json
new file mode 100644
index 000000000..946142d8a
--- /dev/null
+++ b/web/public/locales/et/components/dialog.json
@@ -0,0 +1,122 @@
+{
+  "restart": {
+    "title": "Kas oled kindel, et soovid Frigate'i uuesti käivitada?",
+    "button": "Käivita uuesti",
+    "restarting": {
+      "title": "Frigate käivitub uuesti",
+      "content": "See leht laaditakse uuesti {{countdown}} sekundi pärast.",
+      "button": "Laadi uuesti kohe"
+    }
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Salvesta otsing",
+      "desc": "Sisesta nimi salvestatud otsingu jaoks.",
+      "placeholder": "Sisesta nimi oma otsingu jaoks",
+      "overwrite": "„{{searchName}}“ on juba olemas. Salvestamisel kirjutad olemasoleva väärtuse üle.",
+      "success": "„{{searchName}}“ otsing on salvestatud.",
+      "button": {
+        "save": {
+          "label": "Salvesta see otsing"
+        }
+      }
+    }
+  },
+  "explore": {
+    "video": {
+      "viewInHistory": "Vaata ajaloos"
+    },
+    "plus": {
+      "review": {
+        "state": {
+          "submitted": "Saadetud"
+        },
+        "question": {
+          "ask_a": "Kas see objekt on <code>{{label}}</code>?",
+          "ask_an": "Kas see objekt on <code>{{label}}</code>?",
+          "ask_full": "Kas see objekt on <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?",
+          "label": "Kinnita see silt Frigate+ teenuse jaoks"
+        }
+      },
+      "submitToPlus": {
+        "label": "Saada teenusesse Frigate+",
+        "desc": "Objektid asukohtades, mida sa tahad vältida, pole valepositiivsed. Kui sa neid sellistena saadad teenusele, siis see ainult ajab tehisaru mudeli sassi."
+      }
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Vali ajajoonelt",
+      "lastHour_one": "Viimase tunni jooksul",
+      "lastHour_other": "Viimase {{count}} tunni jooksul",
+      "custom": "Sinu valitud ajavahemik",
+      "start": {
+        "title": "Algusaeg",
+        "label": "Vali algusaeg"
+      },
+      "end": {
+        "title": "Lõpuaeg",
+        "label": "Vali lõpuaeg"
+      }
+    },
+    "name": {
+      "placeholder": "Sisesta ekspordifaili nimi"
+    },
+    "select": "Vali",
+    "export": "Ekspordi",
+    "selectOrExport": "Vali või ekspordi",
+    "toast": {
+      "success": "Eksportimise käivitamine õnnestus. Faili leiad eksportimise lehelt.",
+      "view": "Vaata",
+      "error": {
+        "failed": "Eksportimise käivitamine ei õnnestunud: {{error}}",
+        "endTimeMustAfterStartTime": "Ajavahemiku lõpp peab olema peale algust",
+        "noVaildTimeSelected": "Ühtegi kehtivat ajavahemikku pole valitud"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "Salvesta eksporditud sisu",
+      "previewExport": "Eksporditud sisu eelvaade"
+    }
+  },
+  "streaming": {
+    "label": "Voogedastus",
+    "restreaming": {
+      "disabled": "Voogedastuse kordus pole selle kaamera puhul kasutatav.",
+      "desc": {
+        "title": "Kui tahad selle kaameraga kasutada täiendavaid otseeetri ja helivõimalusi, siis seadista go2rtc."
+      }
+    },
+    "debugView": "Veaotsinguvaade",
+    "showStats": {
+      "label": "Näita voogedastuse statistikat",
+      "desc": "Lülita see eelistus sisse, kui soovid kaamerapildi ülekattena näha voogedastuse statistikat."
+    }
+  },
+  "recording": {
+    "button": {
+      "export": "Ekspordi",
+      "markAsReviewed": "Märgi ülevaadatuks",
+      "markAsUnreviewed": "Märgi mitteülevaadatuks",
+      "deleteNow": "Kustuta kohe"
+    },
+    "confirmDelete": {
+      "title": "Kinnita kustutamine",
+      "desc": {
+        "selected": "Kas sa oled kindel et soovid selle kõik ülevaadatava objektiga seotud kirjed kustutada?<br /><br />Vajuta alla <em>Shift</em> klahv ja saad sellest vaatest tulevikus mööda minna."
+      },
+      "toast": {
+        "success": "Selle ülevaadatava objektiga seotud videosisu on kustutatud.",
+        "error": "Kustutamine ei õnnestunud: {{error}}"
+      }
+    }
+  },
+  "imagePicker": {
+    "selectImage": "Vali jälgitava objekti pisipilt",
+    "unknownLabel": "Päästikpilt on salvestatud",
+    "search": {
+      "placeholder": "Otsi sildi või alamsildi alusel..."
+    },
+    "noImages": "Selle kaamera kohta ei leidu pisipilte"
+  }
+}
diff --git a/web/public/locales/et/components/filter.json b/web/public/locales/et/components/filter.json
new file mode 100644
index 000000000..0df74f6d0
--- /dev/null
+++ b/web/public/locales/et/components/filter.json
@@ -0,0 +1,88 @@
+{
+  "filter": "Filter",
+  "trackedObjectDelete": {
+    "toast": {
+      "error": "Jälgitavate objektide kustutamine ei õnnestunud: {{errorMessage}}",
+      "success": "Jälgitavate objektide kustutamine õnnestus."
+    }
+  },
+  "cameras": {
+    "all": {
+      "title": "Kõik kaamerad",
+      "short": "Kaamerad"
+    }
+  },
+  "labels": {
+    "all": {
+      "title": "Kõik sildid",
+      "short": "Sildid"
+    },
+    "label": "Sildid",
+    "count_one": "{{count}} silt",
+    "count_other": "{{count}} silti"
+  },
+  "subLabels": {
+    "all": "Kõik alamsildid",
+    "label": "Alamsildid"
+  },
+  "dates": {
+    "all": {
+      "title": "Kõik kuupäevad",
+      "short": "Kuupäevad"
+    },
+    "selectPreset": "Vali eelseadistus…"
+  },
+  "explore": {
+    "settings": {
+      "title": "Seadistused",
+      "defaultView": {
+        "title": "Vaikimisi vaade",
+        "summary": "Kokkuvõte",
+        "unfilteredGrid": "Filtreerimata ruudustik"
+      },
+      "gridColumns": {
+        "title": "Ruudustiku veerud",
+        "desc": "Vali ruudustikus kuvatavate veergude arv."
+      },
+      "searchSource": {
+        "options": {
+          "thumbnailImage": "Pisipilt",
+          "description": "Kirjeldus"
+        }
+      }
+    }
+  },
+  "logSettings": {
+    "loading": {
+      "title": "Laadin"
+    },
+    "disableLogStreaming": "Keela logi voogedastus",
+    "allLogs": "Kõik logid"
+  },
+  "classes": {
+    "label": "Klassid",
+    "all": {
+      "title": "Kõik klassid"
+    },
+    "count_one": "{{count}} klass",
+    "count_other": "{{count}} klassi"
+  },
+  "zones": {
+    "label": "Tsoonid",
+    "all": {
+      "title": "Kõik tsoonid",
+      "short": "Tsoonid"
+    }
+  },
+  "more": "Täiendavad filtrid",
+  "timeRange": "Ajavahemik",
+  "reset": {
+    "label": "Lähtesta filtrid vaikimisi väärtusteks"
+  },
+  "score": "Punktiskoor",
+  "estimatedSpeed": "Hinnanguline kiirus: ({{unit}})",
+  "features": {
+    "label": "Omadused",
+    "hasSnapshot": "Leidub hetkvõte"
+  }
+}
diff --git a/web/public/locales/et/components/icons.json b/web/public/locales/et/components/icons.json
new file mode 100644
index 000000000..af0569f46
--- /dev/null
+++ b/web/public/locales/et/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Vali ikoon",
+    "search": {
+      "placeholder": "Otsi ikooni…"
+    }
+  }
+}
diff --git a/web/public/locales/et/components/input.json b/web/public/locales/et/components/input.json
new file mode 100644
index 000000000..127c8c7f8
--- /dev/null
+++ b/web/public/locales/et/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Laadi video alla",
+      "toast": {
+        "success": "Sinu ülevaatamisel video allalaadimine algas."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/et/components/player.json b/web/public/locales/et/components/player.json
new file mode 100644
index 000000000..76d41dd28
--- /dev/null
+++ b/web/public/locales/et/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "Hetkel ei leidu ühtegi salvestust",
+  "noPreviewFound": "Eelvaadet ei leidu",
+  "noPreviewFoundFor": "{{cameraName}} kaamera eelvaadet ei leidu",
+  "submitFrigatePlus": {
+    "submit": "Saada",
+    "title": "Kas saadad selle kaadri Frigate+ teenusesse?"
+  },
+  "cameraDisabled": "Kaamera on kasutuselt eemaldatud",
+  "stats": {
+    "streamType": {
+      "title": "Voogedastuse tüüp:",
+      "short": "Tüüp"
+    },
+    "bandwidth": {
+      "title": "Ribalaius:",
+      "short": "Ribalaius"
+    },
+    "latency": {
+      "title": "Latentsus:",
+      "value": "{{seconds}} sekundit",
+      "short": {
+        "title": "Latentsus",
+        "value": "{{seconds}} sek"
+      }
+    },
+    "totalFrames": "Kaadreid kokku:",
+    "droppedFrames": {
+      "title": "Vahelejäänud kaadreid:",
+      "short": {
+        "title": "Vahelejäänud",
+        "value": "{{droppedFrames}} kaadrit"
+      }
+    },
+    "decodedFrames": "Dekodeeritud kaadreid:",
+    "droppedFrameRate": "Vahelejäänud kaadrite sagedus:"
+  },
+  "livePlayerRequiredIOSVersion": "Selle voogedastuse tüübi jaoks on vajalik iOS-i versioon 17.1 või uuem.",
+  "streamOffline": {
+    "title": "Voogedastus ei toimi",
+    "desc": "„{{cameraName}}“ <code>detect</code>-tüüpi voogedastusest pole tulnud ühtegi kaadrit. Täpsemat teavet leiad vealogidest"
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Kaadri saatmine Frigate+ teenusesse õnnestus"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Kaadri saatmine Frigate+ teenusesse ei õnnestunud"
+    }
+  }
+}
diff --git a/web/public/locales/et/objects.json b/web/public/locales/et/objects.json
new file mode 100644
index 000000000..19830deaf
--- /dev/null
+++ b/web/public/locales/et/objects.json
@@ -0,0 +1,120 @@
+{
+  "person": "Inimene",
+  "bicycle": "Jalgratas",
+  "car": "Auto",
+  "motorcycle": "Mootorratas",
+  "airplane": "Lennuk",
+  "bus": "Buss",
+  "train": "Rong",
+  "boat": "Väike laev",
+  "traffic_light": "Valgusfoor",
+  "fire_hydrant": "Tuletõrjehüdrant",
+  "street_sign": "Liiklusmärk",
+  "stop_sign": "Stoppmärk",
+  "parking_meter": "Parkimispiletite automaat",
+  "bench": "Istepink",
+  "bird": "Lind",
+  "cat": "Kass",
+  "dog": "Koer",
+  "horse": "Hobune",
+  "sheep": "Lammas",
+  "cow": "Lehm",
+  "elephant": "Elevant",
+  "bear": "Karu",
+  "zebra": "Sebra",
+  "giraffe": "Kaelkirjak",
+  "hat": "Müts",
+  "backpack": "Seljakott",
+  "umbrella": "Vihmavari",
+  "shoe": "King",
+  "eye_glasses": "Prillid",
+  "handbag": "Käekott",
+  "tie": "Lips",
+  "suitcase": "Kohver",
+  "frisbee": "Lendav taldrik",
+  "skis": "Suusad",
+  "snowboard": "Lumelaud",
+  "sports_ball": "Pall",
+  "kite": "Tuulelohe",
+  "baseball_bat": "Pesapallikurikas",
+  "baseball_glove": "Pesapallikinnas",
+  "skateboard": "Rula",
+  "surfboard": "Surfilaud",
+  "tennis_racket": "Tennisereket",
+  "animal": "Loom",
+  "bottle": "Pudel",
+  "plate": "Taldrik",
+  "wine_glass": "Veiniklaas",
+  "cup": "Kruus",
+  "fork": "Kahvel",
+  "knife": "Nuga",
+  "spoon": "Lusikas",
+  "bowl": "Kauss",
+  "banana": "Banaan",
+  "apple": "Õun",
+  "sandwich": "Võileib",
+  "orange": "Apelsin",
+  "broccoli": "Spargelkapsas",
+  "carrot": "Porgand",
+  "hot_dog": "Viinerisai",
+  "pizza": "Pitsa",
+  "donut": "Sõõrik",
+  "cake": "Kook",
+  "chair": "Tool",
+  "couch": "Kušett",
+  "potted_plant": "Potilill",
+  "bed": "Voodi",
+  "mirror": "Peegel",
+  "dining_table": "Söögilaud",
+  "window": "Aken",
+  "desk": "Kirjutuslaud",
+  "toilet": "Tualett",
+  "door": "Uks",
+  "tv": "Teler",
+  "laptop": "Sülearvuti",
+  "mouse": "Hiir",
+  "remote": "Kaugjuhtimispult",
+  "keyboard": "Klahvistik",
+  "cell_phone": "Mobiiltelefon",
+  "microwave": "Mikrolaineahi",
+  "oven": "Ahi",
+  "toaster": "Röster",
+  "sink": "Kraanikauss",
+  "refrigerator": "Külmkapp",
+  "blender": "Kannmikser",
+  "book": "Raamat",
+  "clock": "Kell",
+  "vase": "Vaas",
+  "scissors": "Käärid",
+  "teddy_bear": "Mängukaru",
+  "hair_dryer": "Föön",
+  "toothbrush": "Hambahari",
+  "hair_brush": "Juuksehari",
+  "vehicle": "Sõiduk",
+  "squirrel": "Orav",
+  "deer": "Hirv",
+  "bark": "Puukoor",
+  "fox": "Rebane",
+  "goat": "Kits",
+  "rabbit": "Jänes",
+  "raccoon": "Pesukaru",
+  "robot_lawnmower": "Robotmuruniiduk",
+  "waste_bin": "Prügikast",
+  "on_demand": "Nõudmisel",
+  "face": "Nägu",
+  "license_plate": "Sõiduki numbrimärk",
+  "package": "Pakett",
+  "bbq_grill": "Väligrill",
+  "amazon": "Amazoni sõiduk",
+  "usps": "USPS-i sõiduk",
+  "ups": "UPS-i sõiduk",
+  "fedex": "FedExi sõiduk",
+  "dhl": "DHL-i sõiduk",
+  "an_post": "An Posti sõiduk",
+  "purolator": "Purolatori sõiduk",
+  "postnl": "PostNL-i sõiduk",
+  "nzpost": "NZPost-i sõiduk",
+  "postnord": "PostNordi sõiduk",
+  "gls": "GLS-i sõiduk",
+  "dpd": "DPD sõiduk"
+}
diff --git a/web/public/locales/et/views/classificationModel.json b/web/public/locales/et/views/classificationModel.json
new file mode 100644
index 000000000..93db04cba
--- /dev/null
+++ b/web/public/locales/et/views/classificationModel.json
@@ -0,0 +1,47 @@
+{
+  "toast": {
+    "success": {
+      "deletedModel_one": "{{count}} mudeli kustutamine õnnestus",
+      "deletedModel_other": "{{count}} mudeli kustutamine õnnestus"
+    }
+  },
+  "documentTitle": "Klassifitseerimise mudelid - Frigate",
+  "details": {
+    "scoreInfo": "Skoor näitab selle objekti kõigi tuvastuste keskmist klassifitseerimise usaldusväärsust.",
+    "none": "Puudub",
+    "unknown": "Pole teada"
+  },
+  "button": {
+    "deleteClassificationAttempts": "Kustuta klassifitseerimispildid",
+    "renameCategory": "Muuda klassi nimi",
+    "deleteCategory": "Kustuta klass",
+    "deleteImages": "Kustuta pildid",
+    "addClassification": "Lisa klassifikatsioon",
+    "deleteModels": "Kustuta mudelid",
+    "editModel": "Muuda mudelit"
+  },
+  "description": {
+    "invalidName": "Vigane nimi. Nimed võivad sisaldada ainult tähti, numbreid, tühikuid, ülakomasid, alakriipse ja sidekriipse."
+  },
+  "deleteModel": {
+    "desc_one": "Kas oled kindel, et soovid kustutada {{count}} mudeli? Järgnevaga kustuvad jäädavalt kõik seotud andmed, sealhulgas pildid ja koolitusandmed. Seda tegevust ei saa tagasi pöörata.",
+    "desc_other": "Kas oled kindel, et soovid kustutada {{count}} mudelit? Järgnevaga kustuvad jäädavalt kõik seotud andmed, sealhulgas pildid ja koolitusandmed. Seda tegevust ei saa tagasi pöörata."
+  },
+  "deleteDatasetImages": {
+    "desc_one": "Kas oled kindel, et soovid kustutada {{count}} pildi {{dataset}} andmekogust? Seda tegevust ei saa tagasi pöörata ja hiljem on vaja mudelit uuesti koolitada.",
+    "desc_other": "Kas oled kindel, et soovid kustutada {{count}} pilti {{dataset}} andmekogust? Seda tegevust ei saa tagasi pöörata ja hiljem on vaja mudelit uuesti koolitada."
+  },
+  "deleteTrainImages": {
+    "desc_one": "Kas oled kindel, et soovid kustutada {{count}} pildi? Seda tegevust ei saa tagasi pöörata.",
+    "desc_other": "Kas oled kindel, et soovid kustutada {{count}} pilti? Seda tegevust ei saa tagasi pöörata."
+  },
+  "wizard": {
+    "step3": {
+      "allImagesRequired_one": "Palun klassifitseeri kõik pildid. Jäänud on veel {{count}} pilt.",
+      "allImagesRequired_other": "Palun klassifitseeri kõik pildid. Jäänud on veel {{count}} pilti."
+    }
+  },
+  "tooltip": {
+    "trainingInProgress": "Mudel on parasjagu õppimas"
+  }
+}
diff --git a/web/public/locales/et/views/configEditor.json b/web/public/locales/et/views/configEditor.json
new file mode 100644
index 000000000..56371cd04
--- /dev/null
+++ b/web/public/locales/et/views/configEditor.json
@@ -0,0 +1,18 @@
+{
+  "toast": {
+    "error": {
+      "savingError": "Viga seadistuse salvestamisel"
+    },
+    "success": {
+      "copyToClipboard": "Seadistused on kopeeritud lõikelauale."
+    }
+  },
+  "documentTitle": "Seadistuste haldus - Frigate",
+  "safeConfigEditor": "Seadistuste haldus (ohutusrežiim)",
+  "configEditor": "Seadistuste haldus",
+  "safeModeDescription": "Seadistuste vea tõttu on Frigate hetkel ohutusrežiimis.",
+  "copyConfig": "Kopeeri seadistused",
+  "saveAndRestart": "Salvesta ja käivita uuesti",
+  "saveOnly": "Vaid salvesta",
+  "confirm": "Kas väljud ilma salvestamata?"
+}
diff --git a/web/public/locales/et/views/events.json b/web/public/locales/et/views/events.json
new file mode 100644
index 000000000..75e4a3d5c
--- /dev/null
+++ b/web/public/locales/et/views/events.json
@@ -0,0 +1,65 @@
+{
+  "alerts": "Häired",
+  "allCameras": "Kõik kaamerad",
+  "detail": {
+    "settings": "Üksikasjaliku vaate seadistused",
+    "label": "Üksikasjad",
+    "noDataFound": "Ülevaatamiseks pole üksikasjalikke andmeid",
+    "aria": "Lülita üksikasjalik vaade sisse/välja",
+    "trackedObject_one": "{{count}} objekt",
+    "trackedObject_other": "{{count}} objekti",
+    "noObjectDetailData": "Objekti üksikasjalikke andmeid pole saadaval.",
+    "alwaysExpandActive": {
+      "title": "Alati laienda aktiivse kirje andmeid",
+      "desc": "Kui vähegi saadaval, siis alati laienda aktiivse ülevaatamisel kirje andmeid."
+    }
+  },
+  "detections": "Tuvastamise tulemused",
+  "motion": {
+    "label": "Liikumine",
+    "only": "Vaid liikumine"
+  },
+  "empty": {
+    "alert": "Ülevaatamiseks ei leidu ühtegi häiret",
+    "detection": "Ülevaatamiseks ei leidu ühtegi tuvastamist",
+    "motion": "Liikumise andmeid ei leidu",
+    "recordingsDisabled": {
+      "title": "Salvestamine peab olema sisse lülitatud",
+      "description": "Objekte saad määrata ülevaadatamiseks vaid siis, kui selle kaamera puhul on salvestamine lülitatud sisse."
+    }
+  },
+  "select_all": "Kõik",
+  "camera": "Kaamera",
+  "detected": "tuvastatud",
+  "normalActivity": "Tavaline",
+  "needsReview": "Vajab ülevaatamist",
+  "securityConcern": "Võib olla turvaprobleem",
+  "timeline": "Ajajoon",
+  "timeline.aria": "Vali ajajoon",
+  "zoomIn": "Suumi sisse",
+  "zoomOut": "Suumi välja",
+  "events": {
+    "label": "Sündmused",
+    "aria": "Vali sündmused",
+    "noFoundForTimePeriod": "Selle ajavahemiku kohta ei leidu sündmusi."
+  },
+  "selected_one": "{{count}} valitud",
+  "selected_other": "{{count}} valitud",
+  "markAsReviewed": "Märgi ülevaadatuks",
+  "markTheseItemsAsReviewed": "Märgi need kirjed ülevaadatuks",
+  "newReviewItems": {
+    "label": "Vaata uusi ülevaatamiseks mõeldud kirjeid",
+    "button": "Uued ülevaatamiseks mõeldud kirjed"
+  },
+  "documentTitle": "Ülevaatamine - Frigate",
+  "recordings": {
+    "documentTitle": "Salvestised - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Viimased 24 tundi"
+  },
+  "objectTrack": {
+    "clickToSeek": "Klõpsa siia ajapunkti kerimiseks",
+    "trackedPoint": "Jälgitav punkt"
+  }
+}
diff --git a/web/public/locales/et/views/explore.json b/web/public/locales/et/views/explore.json
new file mode 100644
index 000000000..76592a97d
--- /dev/null
+++ b/web/public/locales/et/views/explore.json
@@ -0,0 +1,74 @@
+{
+  "trackedObjectsCount_one": "{{count}} jälgitav objekt ",
+  "trackedObjectsCount_other": "{{count}} jälgitavat objekti ",
+  "fetchingTrackedObjectsFailed": "Viga jälgitavate objektide laadimisel: {{errorMessage}}",
+  "noTrackedObjects": "Ühtegi jälgitavat objekti ei leidunud",
+  "itemMenu": {
+    "findSimilar": {
+      "aria": "Otsi sarnaseid jälgitavaid objekte"
+    },
+    "downloadSnapshot": {
+      "label": "Laadi hetkvõte alla",
+      "aria": "Laadi hetkvõte alla"
+    },
+    "downloadCleanSnapshot": {
+      "label": "Laadi puhas hetkvõte alla",
+      "aria": "Laadi puhas hetkvõte alla"
+    }
+  },
+  "trackingDetails": {
+    "annotationSettings": {
+      "showAllZones": {
+        "title": "Näita kõiki tsoone",
+        "desc": "Kui objekt on sisenenud tsooni, siis alati näida tsooni märgistust."
+      }
+    },
+    "lifecycleItemDesc": {
+      "attribute": {
+        "other": "{{label}} on tuvastatud kui {{attribute}}"
+      },
+      "stationary": "{{label}} jäi paigale",
+      "active": "{{label}} muutus aktiivseks",
+      "entered_zone": "{{label}} sisenes tsooni {{zones}}",
+      "visible": "{{label}} on tuvastatud"
+    },
+    "title": "Jälgimise üksikasjad",
+    "noImageFound": "Selle ajatempli kohta ei leidu pilti.",
+    "createObjectMask": "Loo objektimask"
+  },
+  "documentTitle": "Avasta - Frigate",
+  "generativeAI": "Generatiivne tehisaru",
+  "exploreMore": "Avasta rohkem {{label}}-tüüpi objekte",
+  "exploreIsUnavailable": {
+    "embeddingsReindexing": {
+      "step": {
+        "thumbnailsEmbedded": "Pisipildid on lõimitud: ",
+        "descriptionsEmbedded": "Kirjeldused on lõimitud: ",
+        "trackedObjectsProcessed": "Jälgitud objektid on töödeldud: "
+      },
+      "startingUp": "Käivitun…",
+      "estimatedTime": "Hinnanguliselt jäänud aega:",
+      "finishingShortly": "Lõpetan õige pea"
+    }
+  },
+  "type": {
+    "details": "üksikasjad",
+    "thumbnail": "pisipilt",
+    "snapshot": "hetkvõte",
+    "video": "video",
+    "tracking_details": "jälgimise üksikasjad"
+  },
+  "details": {
+    "item": {
+      "tips": {
+        "mismatch_one": "Tuvastasin {{count}} võõra objekti ja need on lisatud ülevaatamiseks. Need objektid kas ei ole piisavad häire või tuvastamise jaoks, aga ka võivad juba olla eemaldatud või kustutatud.",
+        "mismatch_other": "Tuvastasin {{count}} võõrast objekti ja need on lisatud ülevaatamiseks. Need objektid kas ei ole piisavad häire või tuvastamise jaoks, aga ka võivad juba olla eemaldatud või kustutatud."
+      }
+    },
+    "snapshotScore": {
+      "label": "Hetkvõttete punktiskoor"
+    },
+    "regenerateFromSnapshot": "Loo uuesti hetkvõttest",
+    "timestamp": "Ajatampel"
+  }
+}
diff --git a/web/public/locales/et/views/exports.json b/web/public/locales/et/views/exports.json
new file mode 100644
index 000000000..56814537e
--- /dev/null
+++ b/web/public/locales/et/views/exports.json
@@ -0,0 +1,23 @@
+{
+  "documentTitle": "Eksport Frigate'ist",
+  "search": "Otsi",
+  "noExports": "Eksporditud sisu ei leidu",
+  "deleteExport": "Kustuta eksporditud sisu",
+  "deleteExport.desc": "Kas sa oled kindel et soovid „{{exportName}}“ kustutada?",
+  "editExport": {
+    "title": "Muuda eksporditud sisu nime",
+    "desc": "Sisesta eksporditud sisu jaoks uus nimi.",
+    "saveExport": "Salvesta eksporditud sisu"
+  },
+  "tooltip": {
+    "shareExport": "Jaga eksporditud sisu",
+    "downloadVideo": "Laadi video alla",
+    "editName": "Muuda nime",
+    "deleteExport": "Kustuta eksporditud sisu"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Eksporditud sisu nime muutmine ei õnnestunud: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/et/views/faceLibrary.json b/web/public/locales/et/views/faceLibrary.json
new file mode 100644
index 000000000..42c795a06
--- /dev/null
+++ b/web/public/locales/et/views/faceLibrary.json
@@ -0,0 +1,38 @@
+{
+  "button": {
+    "uploadImage": "Laadi pilt üles"
+  },
+  "collections": "Kogumikud",
+  "description": {
+    "placeholder": "Sisesta nimi selle kogumiku jaoks",
+    "invalidName": "Vigane nimi. Nimed võivad sisaldada ainult tähti, numbreid, tühikuid, ülakomasid, alakriipse ja sidekriipse.",
+    "addFace": "Laadides üles oma esimese pildi saad lisada uue kogumiku Näoteeki."
+  },
+  "documentTitle": "Näoteek - Frigate",
+  "createFaceLibrary": {
+    "new": "Lisa uus nägu"
+  },
+  "deleteFaceLibrary": {
+    "title": "Kustuta nimi"
+  },
+  "toast": {
+    "error": {
+      "addFaceLibraryFailed": "Näo sidumine nimega ei õnnestunud: {{errorMessage}}"
+    },
+    "success": {
+      "addFaceLibrary": "Lisamine Näoteeki õnnestus: {{name}}!",
+      "deletedFace_one": "{{count}} näo kustutamine õnnestus.",
+      "deletedFace_other": "{{count}} näo kustutamine õnnestus.",
+      "deletedName_one": "{{count}} näo kustutamine õnnestus.",
+      "deletedName_other": "{{count}} näo kustutamine õnnestus."
+    }
+  },
+  "deleteFaceAttempts": {
+    "desc_one": "Kas oled kindel, et soovid kustutada {{count}} näo? Seda tegevust ei saa tagasi pöörata.",
+    "desc_other": "Kas oled kindel, et soovid kustutada {{count}} nägu? Seda tegevust ei saa tagasi pöörata."
+  },
+  "details": {
+    "timestamp": "Ajatampel",
+    "unknown": "Pole teada"
+  }
+}
diff --git a/web/public/locales/et/views/live.json b/web/public/locales/et/views/live.json
new file mode 100644
index 000000000..9ba1ba125
--- /dev/null
+++ b/web/public/locales/et/views/live.json
@@ -0,0 +1,134 @@
+{
+  "muteCameras": {
+    "enable": "Summuta kõik kaamerad",
+    "disable": "Lõpeta kõikide kaamerate summutamine"
+  },
+  "streamingSettings": "Voogedastuse seadistused",
+  "cameraSettings": {
+    "title": "Seadistused: {{camera}}",
+    "cameraEnabled": "Kaamera on kasutusel",
+    "objectDetection": "Objektide tuvastamine",
+    "audioDetection": "Heli tuvastus",
+    "transcription": "Heli üleskirjutus",
+    "snapshots": "Hetkvõtted"
+  },
+  "documentTitle": "Otseülekanne - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Otseülekanne - Frigate",
+  "lowBandwidthMode": "Väikese ribalaiusega režiim",
+  "twoWayTalk": {
+    "enable": "Lülita kahepoolne kõneside sisse",
+    "disable": "Lülita kahepoolne kõneside välja"
+  },
+  "cameraAudio": {
+    "enable": "Lülita kaamera heli sisse",
+    "disable": "Lülita kaamera heli välja"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Kaamerapildi joondamiseks keskele klõpsa kaadris",
+        "enable": "Kasuta klõpsamisega teisaldamist",
+        "disable": "Ära kasuta klõpsamisega teisaldamist"
+      },
+      "left": {
+        "label": "Pööra liigutatavat kaamerat vasakule"
+      },
+      "up": {
+        "label": "Pööra liigutatavat kaamerat üles"
+      },
+      "down": {
+        "label": "Pööra liigutatavat kaamerat alla"
+      },
+      "right": {
+        "label": "Pööra liigutatavat kaamerat paremale"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "Suumi liigutatavat kaamerat sisse"
+      },
+      "out": {
+        "label": "Suumi liigutatavat kaamerat välja"
+      }
+    },
+    "focus": {
+      "in": {
+        "label": "Fookusta liigutatavat kaamerat sisse"
+      },
+      "out": {
+        "label": "Fookusta liigutatavat kaamerat välja"
+      }
+    },
+    "presets": "Liigutatava kaamera eelseadistused",
+    "frame": {
+      "center": {
+        "label": "Klõpsa kaadrit liigutatava kaamera pildi sättimiseks keskele"
+      }
+    }
+  },
+  "camera": {
+    "enable": "Lülita kaamera sisse",
+    "disable": "Lülita kaamera välja"
+  },
+  "detect": {
+    "enable": "Lülita tuvastamine sisse",
+    "disable": "Lülita tuvastamine välja"
+  },
+  "recording": {
+    "enable": "Lülita salvestamine sisse",
+    "disable": "Lülita salvestamine välja"
+  },
+  "snapshots": {
+    "enable": "Lülita hetkvõtted sisse",
+    "disable": "Lülita hetkvõtted välja"
+  },
+  "streamStats": {
+    "enable": "Näita voogedastuse statistikat",
+    "disable": "Peida voogedastuse statistika"
+  },
+  "stream": {
+    "twoWayTalk": {
+      "available": "Kahepoolne kõneside on selle voogedastuse puhul saadaval",
+      "unavailable": "Kahepoolne kõneside pole selle voogedastuse puhul saadaval",
+      "tips": "Sinu seadme peab seda funktsionaalsust toetama ja WebRTC peab olema kahepoolse kõneside jaoks seadistatud."
+    },
+    "playInBackground": {
+      "label": "Esita taustal",
+      "tips": "Selle eelistusega saad määrata, et voogedastus jääb tööle ka siis, kui meesiaesitaja on suletud."
+    }
+  },
+  "notifications": "Teavitused",
+  "audio": "Heli",
+  "snapshot": {
+    "takeSnapshot": "Laadi hetkvõte alla",
+    "noVideoSource": "Hetkvõtte tegemiseks pole saadaval ühtegi videoallikat.",
+    "captureFailed": "Hetkvõtte jäädvustamine ei õnnestunud.",
+    "downloadStarted": "Hetkvõtte allalaadimine algas."
+  },
+  "audioDetect": {
+    "enable": "Lülita helituvastus sisse",
+    "disable": "Lülita helituvastus välja"
+  },
+  "transcription": {
+    "enable": "Lülita reaalajas heli üleskirjutus sisse",
+    "disable": "Lülita reaalajas heli üleskirjutus välja"
+  },
+  "autotracking": {
+    "enable": "Lülita automaatne jälgimine sisse",
+    "disable": "Lülita automaatne jälgimine välja"
+  },
+  "manualRecording": {
+    "title": "Nõudmisel",
+    "playInBackground": {
+      "label": "Esita taustal",
+      "desc": "Kasuta seda valikut, kui tahad voogedastuse jätkumist ka siis, kui pildivaade on peidetud."
+    }
+  },
+  "noCameras": {
+    "buttonText": "Lisa kaamera",
+    "restricted": {
+      "title": "Ühtegi kaamerat pole saadaval",
+      "description": "Sul pole õigust ühegi selle grupi kaamera vaatamiseks."
+    }
+  }
+}
diff --git a/web/public/locales/et/views/recording.json b/web/public/locales/et/views/recording.json
new file mode 100644
index 000000000..57ed97509
--- /dev/null
+++ b/web/public/locales/et/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "export": "Ekspordi",
+  "calendar": "Kalender",
+  "filter": "Filter",
+  "filters": "Filtrid",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Ühtegi kehtivat ajavahemikku pole valitud",
+      "endTimeMustAfterStartTime": "Ajavahemiku lõpp peab olema peale algust"
+    }
+  }
+}
diff --git a/web/public/locales/et/views/search.json b/web/public/locales/et/views/search.json
new file mode 100644
index 000000000..52b917d22
--- /dev/null
+++ b/web/public/locales/et/views/search.json
@@ -0,0 +1,23 @@
+{
+  "placeholder": {
+    "search": "Otsi…"
+  },
+  "search": "Otsi",
+  "savedSearches": "Salvestatud otsingud",
+  "searchFor": "Otsi: {{inputValue}}",
+  "button": {
+    "clear": "Tühjenda otsing",
+    "save": "Salvesta otsing",
+    "delete": "Kustuta salvestatud otsing",
+    "filterInformation": "Filtri teave"
+  },
+  "filter": {
+    "label": {
+      "has_snapshot": "Leidub hetkvõte",
+      "cameras": "Kaamerad",
+      "labels": "Sildid",
+      "zones": "Tsoonid",
+      "sub_labels": "Alamsildid"
+    }
+  }
+}
diff --git a/web/public/locales/et/views/settings.json b/web/public/locales/et/views/settings.json
new file mode 100644
index 000000000..c3398cf7b
--- /dev/null
+++ b/web/public/locales/et/views/settings.json
@@ -0,0 +1,193 @@
+{
+  "cameraWizard": {
+    "step1": {
+      "password": "Salasõna",
+      "passwordPlaceholder": "Valikuline",
+      "customUrlPlaceholder": "rtsp://kasutajanimi:salasõna@host:port/asukoht",
+      "connectionSettings": "Ühenduse seadistused"
+    },
+    "step3": {
+      "streamUrlPlaceholder": "rtsp://kasutajanimi:salasõna@host:port/asukoht"
+    },
+    "steps": {
+      "probeOrSnapshot": "Võta proov või tee hetkvõte"
+    },
+    "step2": {
+      "testing": {
+        "fetchingSnapshot": "Laadin kaamera hetkvõtet alla..."
+      }
+    }
+  },
+  "users": {
+    "updatePassword": "Lähtesta salasõna",
+    "toast": {
+      "success": {
+        "updatePassword": "Salasõna muutmine õnnestus."
+      },
+      "error": {
+        "setPasswordFailed": "Salasõna salvestamine ei õnnestunud: {{errorMessage}}"
+      }
+    },
+    "table": {
+      "password": "Lähtesta salasõna"
+    },
+    "dialog": {
+      "form": {
+        "password": {
+          "title": "Salasõna",
+          "placeholder": "Sisesta salasõna",
+          "confirm": {
+            "title": "Korda salasõna",
+            "placeholder": "Korda salasõna"
+          },
+          "strength": {
+            "title": "Salasõna tugevus: ",
+            "weak": "Nõrk",
+            "medium": "Keskmime",
+            "strong": "Tugev",
+            "veryStrong": "Väga tugev"
+          },
+          "match": "Salasõnad klapivad omavahel",
+          "notMatch": "Salasõnad ei klapi omavahel",
+          "show": "Näita salasõna",
+          "hide": "Peida salasõna",
+          "requirements": {
+            "title": "Salasõna reeglid:",
+            "length": "Vähemalt 8 tähemärki",
+            "uppercase": "Vähemalt üks suurtäht",
+            "digit": "Vähemalt üks number",
+            "special": "Vähemalt üks erimärk (!@#$%^&*(),.?\":{}|<>)"
+          }
+        },
+        "newPassword": {
+          "title": "Uus salasõna",
+          "placeholder": "Sisesta uus salasõna",
+          "confirm": {
+            "placeholder": "Sisesta uus salasõna uuesti"
+          }
+        },
+        "passwordIsRequired": "Salasõna on vajalik",
+        "currentPassword": {
+          "title": "Senine salasõna",
+          "placeholder": "Sisesta oma senine salasõna"
+        }
+      },
+      "createUser": {
+        "confirmPassword": "Palun kinnita oma uus salasõna"
+      },
+      "passwordSetting": {
+        "cannotBeEmpty": "Salasõna ei või jääda tühjaks",
+        "doNotMatch": "Salasõnad ei klapi omavahel",
+        "updatePassword": "Muuda kasutaja {{username}} salasõna",
+        "setPassword": "Sisesta salasõna",
+        "desc": "Selle kasutajakonto turvalisuse tagamiseks lisa tugev salasõna.",
+        "currentPasswordRequired": "Senine salasõna on vajalik",
+        "incorrectCurrentPassword": "Senine salasõna pole õige",
+        "passwordVerificationFailed": "Salasõna kontrollimine ei õnnestunud"
+      }
+    }
+  },
+  "debug": {
+    "boundingBoxes": {
+      "desc": "Näita jälgitavate objektide ümber märgiskaste"
+    }
+  },
+  "documentTitle": {
+    "default": "Seadistused - Frigate",
+    "authentication": "Autentimise seadistused - Frigate",
+    "cameraReview": "Kaamerate kordusvaatuste seadistused - Frigate",
+    "general": "Kasutajaliidese seadistused - Frigate",
+    "frigatePlus": "Frigate+ seadistused - Frigate",
+    "notifications": "Teavituste seadistused - Frigate",
+    "cameraManagement": "Kaamerate haldus - Frigate",
+    "masksAndZones": "Maskide ja tsoonide haldus - Frigate",
+    "object": "Silumine ja veaotsing - Frigate"
+  },
+  "general": {
+    "title": "Kasutajaliidese seadistused",
+    "cameraGroupStreaming": {
+      "clearAll": "Kustuta kõik voogedastuse seadistused"
+    },
+    "liveDashboard": {
+      "title": "Töölaud reaalajas",
+      "automaticLiveView": {
+        "label": "Automaatne otseülekande vaade"
+      }
+    }
+  },
+  "cameraManagement": {
+    "backToSettings": "Tagasi kaameraseadistuste juurde"
+  },
+  "notification": {
+    "notificationSettings": {
+      "title": "Teavituste seadistused"
+    },
+    "globalSettings": {
+      "title": "Üldseadistused"
+    },
+    "deviceSpecific": "Seadmekohased seadistused",
+    "toast": {
+      "success": {
+        "settingSaved": "Teavituste seadistused on salvestatud."
+      }
+    }
+  },
+  "frigatePlus": {
+    "title": "Frigate+ seadistused",
+    "unsavedChanges": "Frigate+ seadistuste muudatused on salvestamata",
+    "toast": {
+      "success": "Frigate+ seadistuste muudatused on salvestatud. Muudatuste kasutuselevõtmiseks käivita Frigate uuesti."
+    },
+    "snapshotConfig": {
+      "title": "Hetkvõtte seadistused",
+      "table": {
+        "snapshots": "Hetkvõtted",
+        "cleanCopySnapshots": "<code>clean_copy</code> Hetkvõtted",
+        "camera": "Kaamera"
+      }
+    }
+  },
+  "masksAndZones": {
+    "zones": {
+      "point_one": "{{count}} punkt",
+      "point_other": "{{count}} punkti"
+    },
+    "motionMasks": {
+      "point_one": "{{count}} punkt",
+      "point_other": "{{count}} punkti"
+    },
+    "objectMasks": {
+      "point_one": "{{count}} punkt",
+      "point_other": "{{count}} punkti"
+    }
+  },
+  "roles": {
+    "toast": {
+      "success": {
+        "userRolesUpdated_one": "{{count}} selle rolliga kasutaja on nüüd määratud Vaatajaks, kellel on ligipääs kõikidele kaameratele.",
+        "userRolesUpdated_other": "{{count}} selle rolliga kasutajat on nüüd määratud Vaatajaks, kellel on ligipääs kõikidele kaameratele."
+      }
+    }
+  },
+  "menu": {
+    "ui": "Kasutajaliides",
+    "cameraManagement": "Haldus",
+    "masksAndZones": "Maskid ja tsoonid",
+    "triggers": "Päästikud",
+    "debug": "Silumine ja veaotsing",
+    "users": "Kasutajad",
+    "roles": "Rollid",
+    "notifications": "Teavitused",
+    "frigateplus": "Frigate+"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Sul on salvestamata muudatusi.",
+      "desc": "Kas soovid muudatused enne jätkamist salvestada?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Kaamera",
+    "noCamera": "Kaamerat pole"
+  }
+}
diff --git a/web/public/locales/et/views/system.json b/web/public/locales/et/views/system.json
new file mode 100644
index 000000000..b3bbb33aa
--- /dev/null
+++ b/web/public/locales/et/views/system.json
@@ -0,0 +1,17 @@
+{
+  "documentTitle": {
+    "general": "Üldine statistika - Frigate",
+    "cameras": "Kaamerate statistika - Frigate",
+    "storage": "Andmeruumi statistika - Frigate"
+  },
+  "logs": {
+    "download": {
+      "label": "Laadi logid alla"
+    },
+    "copy": {
+      "label": "Kopeeri lõikelauale",
+      "success": "Logid on kopeeritud lõikelauale"
+    }
+  },
+  "title": "Süsteem"
+}
diff --git a/web/public/locales/fa/audio.json b/web/public/locales/fa/audio.json
index 965460f7f..b3e547006 100644
--- a/web/public/locales/fa/audio.json
+++ b/web/public/locales/fa/audio.json
@@ -23,5 +23,481 @@
   "bus": "اتوبوس",
   "motorcycle": "موتور سیکلت",
   "train": "قطار",
-  "bicycle": "دوچرخه"
+  "bicycle": "دوچرخه",
+  "child_singing": "آواز خواندن کودک",
+  "snort": "خرناس",
+  "cough": "سرفه",
+  "throat_clearing": "صاف کردن گلو",
+  "sneeze": "عطسه",
+  "sniff": "بو کشیدن",
+  "run": "دویدن",
+  "synthetic_singing": "آواز مصنوعی",
+  "rapping": "رپ‌خوانی",
+  "humming": "هوم‌خوانی",
+  "sheep": "گوسفند",
+  "groan": "ناله",
+  "grunt": "غرغر",
+  "whistling": "سوت زدن",
+  "breathing": "تنفس",
+  "wheeze": "خِس‌خِس",
+  "snoring": "خروپف",
+  "gasp": "به نفس‌نفس افتادن",
+  "pant": "نفس‌نفس‌زدن",
+  "shuffle": "پخش تصادفی",
+  "footsteps": "صدای قدم‌ها",
+  "chewing": "جویدن",
+  "biting": "گاز گرفتن",
+  "camera": "دوربین",
+  "gargling": "غرغره کردنغرغره کردن",
+  "stomach_rumble": "قاروقور شکم",
+  "burping": "آروغ زدن",
+  "skateboard": "اسکیت‌بورد",
+  "yip": "ییپ",
+  "howl": "زوزه",
+  "growling": "درحال غرغر",
+  "meow": "میو",
+  "caterwaul": "جیغ‌وداد",
+  "livestock": "دام",
+  "clip_clop": "تق‌تق",
+  "cattle": "گوساله",
+  "cowbell": "زنگولهٔ گاو",
+  "mouse": "موش",
+  "oink": "خِرخِر",
+  "keyboard": "صفحه‌کلید",
+  "goat": "بز",
+  "sink": "سینک",
+  "cluck": "قُدقُد",
+  "turkey": "بوقلمون",
+  "quack": "قاقا",
+  "scissors": "قیچی",
+  "honk": "بوق",
+  "hair_dryer": "سشوار",
+  "roar": "غرش",
+  "vehicle": "وسیلهٔ نقلیه",
+  "chirp": "جیک‌جیک",
+  "squawk": "جیغ زدن",
+  "coo": "قوقو",
+  "crow": "کلاغ",
+  "owl": "جغد",
+  "dogs": "سگ‌ها",
+  "patter": "شرشر",
+  "mosquito": "پشه",
+  "buzz": "وزوز",
+  "frog": "قورباغه",
+  "snake": "مار",
+  "rattle": "جغجغه کردن",
+  "music": "موسیقی",
+  "musical_instrument": "ساز موسیقی",
+  "guitar": "گیتار",
+  "electric_guitar": "گیتار برقی",
+  "acoustic_guitar": "گیتار آکوستیک",
+  "steel_guitar": "گیتار استیل",
+  "banjo": "بانجو",
+  "sitar": "سیتار",
+  "hiccup": "سکسکه",
+  "fart": "باد معده",
+  "finger_snapping": "بشکن زدن",
+  "clapping": "دست زدن",
+  "heartbeat": "ضربان قلب",
+  "heart_murmur": "سوفل قلبی",
+  "applause": "تشویق",
+  "chatter": "وراجی",
+  "crowd": "جمعیت",
+  "children_playing": "بازی کردن کودکان",
+  "animal": "حیوان",
+  "pets": "حیوانات خانگی",
+  "bark": "پارس",
+  "bow_wow": "هاپ‌هاپ",
+  "whimper_dog": "نالیدن سگ",
+  "purr": "خرخر",
+  "hiss": "هیس",
+  "neigh": "شیهه",
+  "door": "در",
+  "moo": "ماغ",
+  "pig": "خوک",
+  "bleat": "بع‌بع",
+  "fowl": "ماکیان",
+  "cock_a_doodle_doo": "قدقدی‌قدقد",
+  "blender": "مخلوط‌کن",
+  "chicken": "مرغ",
+  "gobble": "قورت دادن",
+  "clock": "ساعت",
+  "duck": "اردک",
+  "goose": "غاز",
+  "wild_animals": "حیوانات وحشی",
+  "toothbrush": "مسواک",
+  "roaring_cats": "غرش گربه‌ها",
+  "pigeon": "کبوتر",
+  "hoot": "هوهو",
+  "flapping_wings": "بال‌بال زدن",
+  "rats": "موش‌ها",
+  "insect": "حشره",
+  "cricket": "جیرجیرک",
+  "fly": "مگس",
+  "croak": "قارقار",
+  "whale_vocalization": "آواز نهنگ",
+  "plucked_string_instrument": "ساز زهی زخمه‌ای",
+  "bass_guitar": "گیتار باس",
+  "tapping": "ضربه‌زدن",
+  "strum": "زخمه‌زدن",
+  "mandolin": "ماندولین",
+  "zither": "زیتر",
+  "ukulele": "یوکللی",
+  "piano": "پیانو",
+  "electric_piano": "پیانوی الکتریکی",
+  "organ": "ارگ",
+  "electronic_organ": "ارگ الکترونیکی",
+  "hammond_organ": "ارگ هموند",
+  "synthesizer": "سینتی‌سایزر",
+  "sampler": "سمپلر",
+  "harpsichord": "هارپسیکورد",
+  "percussion": "سازهای کوبه‌ای",
+  "drum_kit": "ست درام",
+  "drum_machine": "درام ماشین",
+  "drum": "درام",
+  "snare_drum": "درام اسنیر",
+  "rimshot": "ریم‌شات",
+  "drum_roll": "درام رول",
+  "bass_drum": "درام باس",
+  "timpani": "تیمپانی",
+  "tabla": "طبلا",
+  "cymbal": "سنج",
+  "hi_hat": "های‌هت",
+  "wood_block": "بلوک چوبی",
+  "tambourine": "تامبورین",
+  "maraca": "ماراکا",
+  "gong": "گونگ",
+  "tubular_bells": "ناقوس‌های لوله‌ای",
+  "mallet_percussion": "سازهای کوبه‌ای مالت",
+  "marimba": "ماریمبا",
+  "glockenspiel": "گلوکن‌اشپیل",
+  "vibraphone": "ویبرافون",
+  "steelpan": "استیل‌پن",
+  "orchestra": "ارکستر",
+  "brass_instrument": "ساز بادی برنجی",
+  "french_horn": "هورن فرانسوی",
+  "trumpet": "ترومپت",
+  "trombone": "ترومبون",
+  "bowed_string_instrument": "ساز زهی آرشه‌ای",
+  "string_section": "بخش سازهای زهی",
+  "violin": "ویولن",
+  "pizzicato": "پیتزیکاتو",
+  "cello": "ویولنسل",
+  "double_bass": "کنترباس",
+  "wind_instrument": "ساز بادی",
+  "flute": "فلوت",
+  "saxophone": "ساکسوفون",
+  "clarinet": "کلارینت",
+  "harp": "چنگ",
+  "bell": "ناقوس",
+  "church_bell": "ناقوس کلیسا",
+  "jingle_bell": "زنگوله",
+  "bicycle_bell": "زنگ دوچرخه",
+  "tuning_fork": "دیاپازون",
+  "chime": "زنگ",
+  "wind_chime": "زنگ باد",
+  "harmonica": "سازدهنی",
+  "accordion": "آکاردئون",
+  "bagpipes": "نی‌انبان",
+  "didgeridoo": "دیجریدو",
+  "theremin": "ترمین",
+  "singing_bowl": "کاسهٔ آوازخوان",
+  "scratching": "خراشیدن",
+  "pop_music": "موسیقی پاپ",
+  "hip_hop_music": "موسیقی هیپ‌هاپ",
+  "beatboxing": "بیت‌باکس",
+  "rock_music": "موسیقی راک",
+  "heavy_metal": "هوی متال",
+  "punk_rock": "پانک راک",
+  "grunge": "گرانج",
+  "progressive_rock": "راک پراگرسیو",
+  "rock_and_roll": "راک اند رول",
+  "psychedelic_rock": "راک روان‌گردان",
+  "rhythm_and_blues": "ریتم اند بلوز",
+  "soul_music": "موسیقی سول",
+  "reggae": "رگی",
+  "country": "کانتری",
+  "swing_music": "موسیقی سوئینگ",
+  "bluegrass": "بلوگرس",
+  "funk": "فانک",
+  "folk_music": "موسیقی فولک",
+  "jazz": "جاز",
+  "disco": "دیسکو",
+  "classical_music": "موسیقی کلاسیک",
+  "opera": "اپرا",
+  "electronic_music": "موسیقی الکترونیک",
+  "house_music": "موسیقی هاوس",
+  "techno": "تکنو",
+  "dubstep": "داب‌استپ",
+  "drum_and_bass": "درام اند بیس",
+  "electronica": "الکترونیکا",
+  "electronic_dance_music": "موسیقی رقص الکترونیک",
+  "ambient_music": "موسیقی امبینت",
+  "trance_music": "موسیقی ترنس",
+  "music_of_latin_america": "موسیقی آمریکای لاتین",
+  "salsa_music": "موسیقی سالسا",
+  "flamenco": "فلامنکو",
+  "blues": "بلوز",
+  "music_for_children": "موسیقی برای کودکان",
+  "new-age_music": "موسیقی نیو ایج",
+  "vocal_music": "موسیقی آوازی",
+  "a_capella": "آکاپلا",
+  "music_of_africa": "موسیقی آفریقا",
+  "afrobeat": "آفروبیت",
+  "christian_music": "موسیقی مسیحی",
+  "gospel_music": "موسیقی گاسپل",
+  "music_of_asia": "موسیقی آسیا",
+  "carnatic_music": "موسیقی کارناتیک",
+  "music_of_bollywood": "موسیقی بالیوود",
+  "ska": "اسکا",
+  "traditional_music": "موسیقی سنتی",
+  "independent_music": "موسیقی مستقل",
+  "song": "آهنگ",
+  "background_music": "موسیقی پس‌زمینه",
+  "theme_music": "موسیقی تم",
+  "soundtrack_music": "موسیقی متن",
+  "lullaby": "لالایی",
+  "video_game_music": "موسیقی بازی‌های ویدیویی",
+  "christmas_music": "موسیقی کریسمس",
+  "dance_music": "موسیقی رقص",
+  "wedding_music": "موسیقی عروسی",
+  "happy_music": "موسیقی شاد",
+  "sad_music": "موسیقی غمگین",
+  "tender_music": "موسیقی لطیف",
+  "angry_music": "موسیقی خشمگین",
+  "exciting_music": "موسیقی هیجان‌انگیز",
+  "scary_music": "موسیقی ترسناک",
+  "wind": "باد",
+  "rustling_leaves": "خش‌خش برگ‌ها",
+  "wind_noise": "صدای باد",
+  "thunderstorm": "طوفان تندری",
+  "thunder": "رعد",
+  "water": "آب",
+  "rain": "باران",
+  "raindrop": "قطرهٔ باران",
+  "rain_on_surface": "باران روی سطح",
+  "waterfall": "آبشار",
+  "ocean": "اقیانوس",
+  "waves": "امواج",
+  "steam": "بخار",
+  "gurgling": "قل‌قل",
+  "motorboat": "قایق موتوری",
+  "ship": "کشتی",
+  "motor_vehicle": "وسیلهٔ نقلیهٔ موتوری",
+  "toot": "توت",
+  "car_alarm": "دزدگیر خودرو",
+  "truck": "کامیون",
+  "air_brake": "ترمز بادی",
+  "air_horn": "بوق بادی",
+  "reversing_beeps": "بوق دنده‌عقب",
+  "ice_cream_truck": "کامیون بستنی‌فروشی",
+  "traffic_noise": "صدای ترافیک",
+  "rail_transport": "حمل‌ونقل ریلی",
+  "train_whistle": "سوت قطار",
+  "train_horn": "بوق قطار",
+  "jet_engine": "موتور جت",
+  "propeller": "ملخ",
+  "helicopter": "بالگرد",
+  "fixed-wing_aircraft": "هواپیمای بال‌ثابت",
+  "medium_engine": "موتور متوسط",
+  "heavy_engine": "موتور سنگین",
+  "engine_knocking": "تق‌تق موتور",
+  "engine_starting": "روشن شدن موتور",
+  "idling": "درجا کار کردن",
+  "slam": "محکم کوبیدن",
+  "knock": "در زدن",
+  "tap": "ضربهٔ آرام",
+  "squeak": "جیرجیر",
+  "cupboard_open_or_close": "باز یا بسته شدن کمد",
+  "microwave_oven": "مایکروفر",
+  "water_tap": "شیر آب",
+  "bathtub": "وان حمام",
+  "toilet_flush": "سیفون توالت",
+  "keys_jangling": "جرینگ‌جرینگ کلیدها",
+  "coin": "سکه",
+  "electric_shaver": "ریش‌تراش برقی",
+  "shuffling_cards": "بر زدنِ کارت‌ها",
+  "telephone_bell_ringing": "زنگ خوردن تلفن",
+  "ringtone": "زنگ تماس",
+  "telephone_dialing": "شماره‌گیری تلفن",
+  "dial_tone": "بوق آزاد",
+  "busy_signal": "بوق اشغال",
+  "alarm_clock": "ساعت زنگ‌دار",
+  "fire_alarm": "هشدار آتش‌سوزی",
+  "foghorn": "بوق مه",
+  "whistle": "سوت",
+  "steam_whistle": "سوت بخار",
+  "mechanisms": "سازوکارها",
+  "pulleys": "قرقره‌ها",
+  "sewing_machine": "چرخ خیاطی",
+  "mechanical_fan": "پنکهٔ مکانیکی",
+  "air_conditioning": "تهویهٔ مطبوع",
+  "cash_register": "صندوق فروش",
+  "jackhammer": "چکش بادی",
+  "sawing": "اره‌کردن",
+  "drill": "دریل",
+  "sanding": "سنباده‌کاری",
+  "power_tool": "ابزار برقی",
+  "filing": "سوهان‌کاری",
+  "artillery_fire": "آتش توپخانه",
+  "cap_gun": "تفنگ ترقه‌ای",
+  "fireworks": "آتش‌بازی",
+  "firecracker": "ترقه",
+  "burst": "ترکیدن",
+  "crack": "ترک",
+  "glass": "شیشه",
+  "chink": "جرینگ",
+  "shatter": "خُرد شدن",
+  "silence": "سکوت",
+  "television": "تلویزیون",
+  "radio": "رادیو",
+  "field_recording": "ضبط میدانی",
+  "scream": "جیغ",
+  "chird": "جیرجیر",
+  "change_ringing": "زنگ خوردن پول خرد",
+  "shofar": "شوفار",
+  "liquid": "مایع",
+  "splash": "پاشیدن",
+  "gush": "فوران",
+  "fill": "پر کردن",
+  "spray": "اسپری",
+  "pump": "پمپ",
+  "stir": "هم زدن",
+  "thunk": "صدای افتادن",
+  "electronic_tuner": "تیونر الکترونیکی",
+  "effects_unit": "واحد افکت‌ها",
+  "chorus_effect": "افکت کُر",
+  "basketball_bounce": "پرش توپ بسکتبال",
+  "bouncing": "پرش",
+  "whip": "شلاق",
+  "flap": "بال‌بال زدن",
+  "scratch": "خراشیدن",
+  "scrape": "ساییدن",
+  "beep": "بیپ",
+  "ping": "پینگ",
+  "ding": "دینگ",
+  "clang": "تق",
+  "squeal": "جیغ",
+  "clicking": "کلیک‌کردن",
+  "clickety_clack": "تَق‌تَق",
+  "rumble": "غرّش",
+  "plop": "پَت",
+  "chirp_tone": "صدای جیک",
+  "pulse": "پالس",
+  "inside": "داخل",
+  "outside": "بیرون",
+  "reverberation": "پژواک",
+  "cacophony": "همهمه",
+  "throbbing": "تپش",
+  "vibration": "لرزش",
+  "hands": "دست‌ها",
+  "cheering": "تشویق کردن",
+  "caw": "قارقار",
+  "jingle": "جینگل",
+  "middle_eastern_music": "موسیقی خاورمیانه‌ای",
+  "stream": "جریان",
+  "fire": "آتش",
+  "crackle": "ترق‌تروق",
+  "sailboat": "قایق بادبانی",
+  "rowboat": "قایق پارویی",
+  "power_windows": "شیشه‌بالابر برقی",
+  "skidding": "سرخوردن",
+  "tire_squeal": "جیغ لاستیک",
+  "car_passing_by": "عبور خودرو",
+  "race_car": "خودروی مسابقه",
+  "emergency_vehicle": "خودروی امدادی",
+  "police_car": "خودروی پلیس",
+  "vacuum_cleaner": "جاروبرقی",
+  "zipper": "زیپ",
+  "typing": "تایپ کردن",
+  "typewriter": "ماشین تحریر",
+  "computer_keyboard": "صفحه‌کلید رایانه",
+  "writing": "نوشتن",
+  "alarm": "هشدار",
+  "telephone": "تلفن",
+  "siren": "آژیر",
+  "civil_defense_siren": "آژیر دفاع مدنی",
+  "buzzer": "بیزر",
+  "smoke_detector": "آشکارساز دود",
+  "ratchet": "جغجغه",
+  "tick-tock": "تیک‌تاک",
+  "gears": "چرخ‌دنده‌ها",
+  "printer": "چاپگر",
+  "single-lens_reflex_camera": "دوربین تک‌لنزی بازتابی",
+  "tools": "ابزارها",
+  "hammer": "چکش",
+  "explosion": "انفجار",
+  "gunshot": "شلیک",
+  "machine_gun": "مسلسل",
+  "fusillade": "رگبار",
+  "eruption": "فوران",
+  "boom": "بوم",
+  "wood": "چوب",
+  "sound_effect": "جلوهٔ صوتی",
+  "splinter": "تراشه",
+  "environmental_noise": "نویز محیطی",
+  "static": "ساکن",
+  "white_noise": "نویز سفید",
+  "squish": "فشردن",
+  "drip": "چکه",
+  "pour": "ریختن",
+  "trickle": "چکیدن",
+  "boiling": "جوشیدن",
+  "thump": "کوبیدن",
+  "bang": "بنگ",
+  "slap": "سیلی",
+  "whack": "ضربه",
+  "smash": "خرد کردن",
+  "roll": "غلتیدن",
+  "crushing": "خرد کردن",
+  "crumpling": "چروک شدن",
+  "tearing": "پاره کردن",
+  "creak": "جیرجیر",
+  "clatter": "قارقار",
+  "sizzle": "جوشیدن",
+  "hum": "زمزمه",
+  "zing": "زنگ",
+  "boing": "بویینگ",
+  "crunch": "خرد کردن",
+  "noise": "نویز",
+  "mains_hum": "زمزمهٔ برق",
+  "distortion": "اعوجاج",
+  "sidetone": "صدای گوشی",
+  "ambulance": "آمبولانس",
+  "fire_engine": "خودروی آتش‌نشانی",
+  "railroad_car": "واگن راه‌آهن",
+  "train_wheels_squealing": "جیرجیر چرخ‌های قطار",
+  "subway": "مترو",
+  "aircraft": "هوانورد",
+  "aircraft_engine": "موتور هواپیما",
+  "engine": "موتور",
+  "light_engine": "موتور سبک",
+  "dental_drill's_drill": "متهٔ دندانپزشکی",
+  "lawn_mower": "چمن‌زن",
+  "chainsaw": "ارهٔ زنجیری",
+  "accelerating": "شتاب‌گیری",
+  "doorbell": "زنگ در",
+  "ding-dong": "دینگ‌دونگ",
+  "sliding_door": "در کشویی",
+  "drawer_open_or_close": "باز یا بسته شدن کشو",
+  "dishes": "ظروف",
+  "cutlery": "قاشق و چنگال",
+  "chopping": "خرد کردن",
+  "frying": "سرخ کردن",
+  "electric_toothbrush": "مسواک برقی",
+  "tick": "تیک",
+  "chop": "خرد کردن",
+  "pink_noise": "نویز صورتی",
+  "sodeling": "سودلینگ",
+  "slosh": "پاشیدن",
+  "sonar": "سونار",
+  "arrow": "پیکان",
+  "whoosh": "ووش",
+  "breaking": "شکستن",
+  "rub": "مالیدن",
+  "rustle": "خش‌خش",
+  "whir": "وزوز",
+  "sine_wave": "موج سینوسی",
+  "harmonic": "هارمونیک",
+  "echo": "پژواک"
 }
diff --git a/web/public/locales/fa/common.json b/web/public/locales/fa/common.json
index e3b44ba55..3b9e02617 100644
--- a/web/public/locales/fa/common.json
+++ b/web/public/locales/fa/common.json
@@ -2,6 +2,296 @@
   "time": {
     "untilForTime": "تا {{time}}",
     "untilForRestart": "تا زمانی که فریگیت دوباره شروع به کار کند.",
-    "untilRestart": "تا زمان ری‌استارت"
+    "untilRestart": "تا زمان ری‌استارت",
+    "ago": "{{timeAgo}} قبل",
+    "justNow": "هم اکنون",
+    "today": "امروز",
+    "yesterday": "دیروز",
+    "last7": "۷ روز گذشته",
+    "last14": "۱۴ روز گذشته",
+    "last30": "۳۰ روز گذشته",
+    "thisWeek": "این هفته",
+    "lastWeek": "هفتهٔ گذشته",
+    "thisMonth": "این ماه",
+    "lastMonth": "ماه گذشته",
+    "5minutes": "۵ دقیقه",
+    "10minutes": "۱۰ دقیقه",
+    "day_one": "{{time}} روز",
+    "day_other": "{{time}} روز",
+    "h": "{{time}}س",
+    "hour_one": "{{time}} ساعت",
+    "hour_other": "{{time}} ساعت",
+    "m": "{{time}} دقیقه",
+    "minute_one": "{{time}} دقیقه",
+    "minute_other": "{{time}} دقیقه",
+    "s": "{{time}}ث",
+    "30minutes": "۳۰ دقیقه",
+    "1hour": "۱ ساعت",
+    "12hours": "۱۲ ساعت",
+    "24hours": "۲۴ ساعت",
+    "pm": "ب.ظ.",
+    "am": "ق.ظ.",
+    "yr": "{{time}} سال",
+    "year_one": "{{time}} سال",
+    "year_other": "{{time}} سال",
+    "mo": "{{time}} ماه",
+    "month_one": "{{time}} ماه",
+    "month_other": "{{time}} ماه",
+    "d": "{{time}} روز",
+    "second_one": "{{time}} ثانیه",
+    "second_other": "‏{{time}} ثانیه",
+    "formattedTimestamp": {
+      "12hour": "MMM d، h:mm:ss aaa",
+      "24hour": "MMM d، HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "MM/dd h:mm:ssa",
+      "24hour": "d MMM HH:mm:ssd MMM، HH:mm:ss"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "d MMM, h:mm aaa",
+      "24hour": "d MMM, HH:mm"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "d MMM, yyyy",
+      "24hour": "d MMM, yyyy"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "d MMM yyyy, h:mm aaa",
+      "24hour": "yyyy MMM d, HH:mm"
+    },
+    "formattedTimestampMonthDay": "d MMM",
+    "formattedTimestampFilename": {
+      "12hour": "MM-dd-yy-h-mm-ss-a",
+      "24hour": "MM-dd-yy-HH-mm-ss"
+    },
+    "inProgress": "در حال انجام",
+    "invalidStartTime": "زمان شروع نامعتبر است",
+    "invalidEndTime": "زمان پایان نامعتبر است"
+  },
+  "unit": {
+    "length": {
+      "feet": "فوت",
+      "meters": "متر"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "gbps": "GB/s",
+      "mbph": "مگابایت/ساعت",
+      "gbph": "گیگابایت/ساعت",
+      "mbps": "مگابایت/ثانیه",
+      "kbph": "کیلوبایت/ساعت"
+    },
+    "speed": {
+      "mph": "مایل/ساعت",
+      "kph": "کیلومتر/ساعت"
+    }
+  },
+  "label": {
+    "hide": "پنهان کردن {{item}}",
+    "ID": "شناسه",
+    "all": "همه",
+    "back": "برگشت به قبل",
+    "show": "نمایش {{item}}",
+    "none": "هیچ‌کدام"
+  },
+  "list": {
+    "many": "{{items}}، و {{last}}",
+    "two": "{{0}} و {{1}}",
+    "separatorWithSpace": ", · "
+  },
+  "field": {
+    "internalID": "شناسهٔ داخلی‌ای که Frigate در پیکربندی و پایگاه‌داده استفاده می‌کند",
+    "optional": "اختیاری"
+  },
+  "button": {
+    "apply": "اعمال",
+    "done": "انجام شد",
+    "enable": "فعال کردن",
+    "disabled": "غیرفعال",
+    "cancel": "لغو",
+    "close": "بستن",
+    "back": "بازگشت",
+    "fullscreen": "تمام‌صفحه",
+    "exitFullscreen": "خروج از حالت تمام‌صفحه",
+    "twoWayTalk": "مکالمهٔ دوطرفه",
+    "cameraAudio": "صدای دوربین",
+    "off": "خاموش",
+    "delete": "حذف",
+    "download": "دانلود",
+    "unsuspended": "برداشتن تعلیق",
+    "unselect": "لغو انتخاب",
+    "export": "خروجی گرفتن",
+    "next": "بعدی",
+    "reset": "بازنشانی",
+    "enabled": "فعال",
+    "disable": "غیرفعال کردن",
+    "save": "ذخیره",
+    "saving": "در حال ذخیره…",
+    "copy": "کپی",
+    "history": "تاریخچه",
+    "pictureInPicture": "تصویر در تصویر",
+    "copyCoordinates": "کپی مختصات",
+    "yes": "بله",
+    "no": "خیر",
+    "info": "اطلاعات",
+    "play": "پخش",
+    "deleteNow": "حذف فوری",
+    "continue": "ادامه",
+    "on": "روشن",
+    "edit": "ویرایش",
+    "suspended": "تعلیق‌شده"
+  },
+  "menu": {
+    "systemMetrics": "شاخص‌های سیستم",
+    "configuration": "پیکربندی",
+    "settings": "تنظیمات",
+    "language": {
+      "en": "انگلیسی (English)",
+      "hi": "هندی (Hindi)",
+      "fr": "فرانسوی (French)",
+      "ptBR": "پرتغالیِ برزیل (Brazilian Portuguese)",
+      "ru": "روسی (Russian)",
+      "es": "اسپانیایی (زبان اسپانیایی)",
+      "zhCN": "چینی ساده‌شده (چینی ساده)",
+      "ar": "عربی (زبان عربی)",
+      "pt": "پرتغالی (زبان پرتغالی)",
+      "de": "آلمانی (زبان آلمانی)",
+      "ja": "ژاپنی (زبان ژاپنی)",
+      "tr": "ترکی (زبان ترکی)",
+      "it": "ایتالیایی (زبان ایتالیایی)",
+      "nl": "هلندی (زبان هلندی)",
+      "sv": "سوئدی (زبان سوئدی)",
+      "cs": "چکی (زبان چکی)",
+      "nb": "بوکمل نروژیایی (بوکمل نروژی)",
+      "ko": "کره‌ای (زبان کره‌ای)",
+      "vi": "ویتنامی (زبان ویتنامی)",
+      "fa": "فارسی (زبان فارسی)",
+      "pl": "لهستانی (زبان لهستانی)",
+      "uk": "اوکراینی (زبان اوکراینی)",
+      "he": "عبری (زبان عبری)",
+      "el": "یونانی (زبان یونانی)",
+      "ro": "رومانیایی (زبان رومانیایی)",
+      "hu": "مجاری (زبان مجاری)",
+      "fi": "فنلاندی (زبان فنلاندی)",
+      "da": "دانمارکی (زبان دانمارکی)",
+      "sk": "اسلواکی (زبان اسلواکی)",
+      "yue": "کانتونی (زبان کانتونی)",
+      "th": "تایلندی (زبان تایلندی)",
+      "ca": "کاتالانی (زبان کاتالانی)",
+      "sr": "صربی (زبان صربی)",
+      "sl": "اسلوونیایی (زبان اسلوونیایی)",
+      "lt": "لیتوانیایی (زبان لیتوانیایی)",
+      "bg": "بلغاری (زبان بلغاری)",
+      "gl": "گالیسیایی (زبان گالیسیایی)",
+      "id": "اندونزیایی (زبان اندونزیایی)",
+      "ur": "اردو (زبان اردو)",
+      "withSystem": {
+        "label": "برای زبان از تنظیمات سامانه استفاده کنید"
+      }
+    },
+    "system": "سامانه",
+    "systemLogs": "لاگ‌های سامانه",
+    "configurationEditor": "ویرایشگر پیکربندی",
+    "languages": "زبان‌ها",
+    "appearance": "ظاهر",
+    "darkMode": {
+      "label": "حالت تاریک",
+      "light": "روشنایی",
+      "dark": "تاریک",
+      "withSystem": {
+        "label": "برای حالت روشن یا تاریک از تنظیمات سامانه استفاده کنید"
+      }
+    },
+    "withSystem": "سامانه",
+    "theme": {
+      "label": "پوسته",
+      "blue": "آبی",
+      "green": "سبز",
+      "nord": "نورد",
+      "red": "قرمز",
+      "highcontrast": "کنتراست بالا",
+      "default": "پیش‌فرض"
+    },
+    "help": "راهنما",
+    "documentation": {
+      "title": "مستندات",
+      "label": "مستندات Frigate"
+    },
+    "restart": "راه‌اندازی مجدد Frigate",
+    "live": {
+      "title": "زنده",
+      "allCameras": "همهٔ دوربین‌ها",
+      "cameras": {
+        "title": "دوربین‌ها",
+        "count_one": "{{count}} دوربین",
+        "count_other": "{{count}} دوربین"
+      }
+    },
+    "review": "بازبینی",
+    "explore": "کاوش",
+    "export": "خروجی گرفتن",
+    "uiPlayground": "محیط آزمایشی UI",
+    "faceLibrary": "کتابخانهٔ چهره",
+    "classification": "طبقه‌بندی",
+    "user": {
+      "title": "کاربر",
+      "account": "حساب کاربری",
+      "current": "کاربر فعلی: {{user}}",
+      "anonymous": "ناشناس",
+      "logout": "خروج",
+      "setPassword": "تنظیم گذرواژه"
+    }
+  },
+  "toast": {
+    "copyUrlToClipboard": "نشانی اینترنتی در کلیپ‌بورد کپی شد.",
+    "save": {
+      "title": "ذخیره",
+      "error": {
+        "title": "ذخیرهٔ تغییرات پیکربندی ناموفق بود: {{errorMessage}}",
+        "noMessage": "ذخیرهٔ تغییرات پیکربندی ناموفق بود"
+      }
+    }
+  },
+  "role": {
+    "title": "نقش",
+    "admin": "مدیر",
+    "viewer": "بیننده",
+    "desc": "مدیران به همهٔ ویژگی‌ها در رابط کاربری Frigate دسترسی کامل دارند. بیننده‌ها فقط می‌توانند دوربین‌ها، موارد بازبینی و ویدیوهای تاریخی را در رابط کاربری مشاهده کنند."
+  },
+  "pagination": {
+    "label": "صفحه‌بندی",
+    "previous": {
+      "title": "قبلی",
+      "label": "رفتن به صفحهٔ قبلی"
+    },
+    "next": {
+      "title": "بعدی",
+      "label": "رفتن به صفحهٔ بعدی"
+    },
+    "more": "صفحه‌های بیشتر"
+  },
+  "accessDenied": {
+    "documentTitle": "دسترسی ممنوع - Frigate",
+    "title": "دسترسی ممنوع",
+    "desc": "شما اجازهٔ مشاهدهٔ این صفحه را ندارید."
+  },
+  "notFound": {
+    "documentTitle": "یافت نشد - Frigate",
+    "title": "۴۰۴",
+    "desc": "صفحه پیدا نشد"
+  },
+  "selectItem": "انتخاب {{item}}",
+  "readTheDocumentation": "مستندات را بخوانید",
+  "information": {
+    "pixels": "{{area}}px"
   }
 }
diff --git a/web/public/locales/fa/components/auth.json b/web/public/locales/fa/components/auth.json
index b74e4b03f..3c4e021b2 100644
--- a/web/public/locales/fa/components/auth.json
+++ b/web/public/locales/fa/components/auth.json
@@ -2,6 +2,15 @@
   "form": {
     "user": "نام کاربری",
     "password": "رمز عبور",
-    "login": "ورود"
+    "login": "ورود",
+    "firstTimeLogin": "اولین باز است وارد می شود؟ اطلاعات هویتی در ثبت رخداد های فریگیت چاپ خواهد شد.",
+    "errors": {
+      "usernameRequired": "وارد کردن نام کاربری الزامی است",
+      "passwordRequired": "وارد کردن رمز عبور الزامی است",
+      "loginFailed": "ورود ناموفق بود",
+      "unknownError": "خطای ناشناخته. گزارش‌ها را بررسی کنید.",
+      "webUnknownError": "خطای ناشناخته. گزارش‌های کنسول را بررسی کنید.",
+      "rateLimit": "از حد مجاز درخواست‌ها فراتر رفت. بعداً دوباره تلاش کنید."
+    }
   }
 }
diff --git a/web/public/locales/fa/components/camera.json b/web/public/locales/fa/components/camera.json
index b5567927b..35f7ec517 100644
--- a/web/public/locales/fa/components/camera.json
+++ b/web/public/locales/fa/components/camera.json
@@ -2,6 +2,85 @@
   "group": {
     "label": "گروه‌های دوربین",
     "add": "افزودن گروه دوربین",
-    "edit": "ویرایش گروه دوربین"
+    "edit": "ویرایش گروه دوربین",
+    "delete": {
+      "label": "حذف گروه دوربین ها",
+      "confirm": {
+        "title": "تأیید حذف",
+        "desc": "آیا مطمئن هستید که می‌خواهید گروه دوربین «<em>{{name}}</em>» را حذف کنید؟"
+      }
+    },
+    "name": {
+      "label": "نام",
+      "placeholder": "یک نام وارد کنید…",
+      "errorMessage": {
+        "mustLeastCharacters": "نام گروه دوربین باید حداقل ۲ کاراکتر باشد.",
+        "exists": "نام گروه دوربین از قبل وجود دارد.",
+        "nameMustNotPeriod": "نام گروه دوربین نباید شامل نقطه باشد.",
+        "invalid": "نام گروه دوربین نامعتبر است."
+      }
+    },
+    "cameras": {
+      "desc": "دوربین‌های این گروه را انتخاب کنید.",
+      "label": "دوربین‌ها"
+    },
+    "icon": "آیکون",
+    "success": "گروه دوربین ({{name}}) ذخیره شد.",
+    "camera": {
+      "setting": {
+        "streamMethod": {
+          "method": {
+            "noStreaming": {
+              "label": "بدون پخش",
+              "desc": "تصاویر دوربین فقط هر یک دقیقه یک‌بار به‌روزرسانی می‌شوند و هیچ پخش زنده‌ای انجام نخواهد شد."
+            },
+            "smartStreaming": {
+              "label": "پخش هوشمند (پیشنهادی)",
+              "desc": "پخش هوشمند زمانی که فعالیت قابل تشخیصی وجود ندارد برای صرفه‌جویی در پهنای باند و منابع، تصویر دوربین شما را هر یک دقیقه یک‌بار به‌روزرسانی می‌کند. وقتی فعالیت تشخیص داده شود، تصویر به‌طور یکپارچه به پخش زنده تغییر می‌کند."
+            },
+            "continuousStreaming": {
+              "label": "پخش پیوسته",
+              "desc": {
+                "title": "تصویر دوربین وقتی در داشبورد قابل مشاهده باشد همیشه پخش زنده خواهد بود، حتی اگر هیچ فعالیتی تشخیص داده نشود.",
+                "warning": "پخش پیوسته ممکن است باعث مصرف بالای پهنای‌باند و مشکلات عملکردی شود. با احتیاط استفاده کنید."
+              }
+            }
+          },
+          "label": "روش پخش",
+          "placeholder": "یک روش پخش را انتخاب کنید"
+        },
+        "label": "تنظیمات پخش دوربین",
+        "title": "تنظیمات پخش {{cameraName}}",
+        "audioIsAvailable": "صدا برای این پخش در دسترس است",
+        "audioIsUnavailable": "صدا برای این پخش در دسترس نیست",
+        "audio": {
+          "tips": {
+            "title": "برای این پخش، صدا باید از دوربین شما خروجی گرفته شود و در go2rtc پیکربندی شده باشد."
+          }
+        },
+        "stream": "جریان",
+        "placeholder": "یک جریان را برگزینید",
+        "compatibilityMode": {
+          "label": "حالت سازگاری",
+          "desc": "این گزینه را فقط زمانی فعال کنید که پخش زندهٔ دوربین شما دچار آثار رنگی (artifact) است و در سمت راست تصویر یک خط مورب دیده می‌شود."
+        },
+        "desc": "گزینه‌های پخش زنده را برای داشبورد این گروه دوربین تغییر دهید. <em>این تنظیمات مخصوص دستگاه/مرورگر هستند. </em>"
+      },
+      "birdseye": "نمای پرنده"
+    }
+  },
+  "debug": {
+    "options": {
+      "label": "تنظیمات",
+      "title": "گزینه‌ها",
+      "showOptions": "نمایش گزینه‌ها",
+      "hideOptions": "پنهان کردن گزینه‌ها"
+    },
+    "boundingBox": "کادر محدوده",
+    "timestamp": "مهر زمانی",
+    "zones": "ناحیه‌ها",
+    "mask": "ماسک",
+    "motion": "حرکت",
+    "regions": "مناطق"
   }
 }
diff --git a/web/public/locales/fa/components/dialog.json b/web/public/locales/fa/components/dialog.json
index 05f66ce60..99095fc9d 100644
--- a/web/public/locales/fa/components/dialog.json
+++ b/web/public/locales/fa/components/dialog.json
@@ -1,9 +1,122 @@
 {
   "restart": {
-    "title": "آیا از ری‌استارت فریگیت اطمینان دارید؟",
+    "title": "آیا برای راه اندازی مجدد Frigate مطمئن هستید؟",
     "button": "ری‌استارت",
     "restarting": {
-      "title": "فریگیت در حال ری‌استارت شدن"
+      "title": "فریگیت در حال ری‌استارت شدن",
+      "content": "صفحه تا {{countdown}} ثانیه دیگر مجددا بارگزاری خواهد شد.",
+      "button": "بارگزاری مجدد هم اکنون اجرا شود"
     }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "ارسال به Frigate+",
+        "desc": "اشیایی که در مکان‌هایی هستند که می‌خواهید از آن‌ها اجتناب کنید، «مثبت کاذب» محسوب نمی‌شوند. ارسال آن‌ها به‌عنوان مثبت کاذب باعث می‌شود مدل دچار سردرگمی شود."
+      },
+      "review": {
+        "question": {
+          "label": "این برچسب را برای Frigate Plus تأیید کنید",
+          "ask_a": "آیا این شیء <code>{{label}}</code> است؟",
+          "ask_an": "آیا این شیء یک <code>{{label}}</code> است؟",
+          "ask_full": "آیا این شیء یک <code>{{untranslatedLabel}}</code> ({{translatedLabel}}) است؟"
+        },
+        "state": {
+          "submitted": "ارسال شد"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "مشاهده در تاریخچه"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "انتخاب از خط زمانی",
+      "lastHour_one": "ساعت گذشته",
+      "lastHour_other": "آخرین {{count}} ساعت",
+      "custom": "سفارشی",
+      "start": {
+        "title": "زمان شروع",
+        "label": "زمان شروع را انتخاب کنید"
+      },
+      "end": {
+        "title": "زمان پایان",
+        "label": "زمان پایان را انتخاب کنید"
+      }
+    },
+    "toast": {
+      "error": {
+        "endTimeMustAfterStartTime": "زمان پایان باید بعد از زمان شروع باشد",
+        "noVaildTimeSelected": "بازهٔ زمانی معتبر انتخاب نشده است",
+        "failed": "شروع خروجی‌گیری ناموفق بود: {{error}}"
+      },
+      "success": "ساخت خروجی با موفقیت آغاز شد. فایل را در صفحه خروجی‌ها مشاهده کنید.",
+      "view": "مشاهده"
+    },
+    "fromTimeline": {
+      "saveExport": "ذخیرهٔ خروجی",
+      "previewExport": "پیش‌نمایش خروجی"
+    },
+    "name": {
+      "placeholder": "برای خروجی نام بگذارید"
+    },
+    "select": "انتخاب",
+    "export": "خروجی",
+    "selectOrExport": "انتخاب یا خروجی"
+  },
+  "streaming": {
+    "label": "جریان",
+    "restreaming": {
+      "disabled": "بازپخش برای این دوربین فعال نیست.",
+      "desc": {
+        "title": "برای گزینه‌های بیشتر نمایش زنده و صدا برای این دوربین، go2rtc را تنظیم کنید."
+      }
+    },
+    "showStats": {
+      "label": "نمایش آمار جریان",
+      "desc": "این گزینه را فعال کنید تا آمار جریان به‌صورت پوششی روی تصویر دوربین نمایش داده شود."
+    },
+    "debugView": "نمای اشکال‌زدایی"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "ذخیره جست‌وجو",
+      "desc": "برای این جست‌وجوی ذخیره‌شده یک نام وارد کنید.",
+      "placeholder": "برای جستجوی خود یک نام وارد کنید",
+      "success": "جستجو ({{searchName}}) ذخیره شد.",
+      "button": {
+        "save": {
+          "label": "ذخیرهٔ این جستجو"
+        }
+      },
+      "overwrite": "{{searchName}} موجود است. ذخیره سازی منجر به بازنویسی مقدار موجود خواهد شد."
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "تأیید حذف",
+      "desc": {
+        "selected": "آیا مطمئن هستید که می‌خواهید همهٔ ویدیوهای ضبط‌شدهٔ مرتبط با این مورد بازبینی را حذف کنید؟<br /><br />برای رد کردن این پنجره در آینده، کلید <em>Shift</em> را نگه دارید."
+      },
+      "toast": {
+        "success": "ویدیوهای مرتبط با موارد بازبینیِ انتخاب‌شده با موفقیت حذف شد.",
+        "error": "حذف ناموفق بود: {{error}}"
+      }
+    },
+    "button": {
+      "export": "خروجی گرفتن",
+      "markAsReviewed": "علامت‌گذاری به‌عنوان بازبینی‌شده",
+      "markAsUnreviewed": "علامت‌گذاری به‌عنوان بازبینی‌نشده",
+      "deleteNow": "حذف فوری"
+    }
+  },
+  "imagePicker": {
+    "selectImage": "یک بندانگشتیِ شیء ردیابی‌شده را انتخاب کنید",
+    "unknownLabel": "تصویر محرک ذخیره شد",
+    "search": {
+      "placeholder": "جستجو بر اساس برچسب یا زیر‌برچسب…"
+    },
+    "noImages": "برای این دوربین بندانگشتی‌ای یافت نشد"
   }
 }
diff --git a/web/public/locales/fa/components/filter.json b/web/public/locales/fa/components/filter.json
index 97410c81e..a742be9f8 100644
--- a/web/public/locales/fa/components/filter.json
+++ b/web/public/locales/fa/components/filter.json
@@ -1,6 +1,140 @@
 {
   "filter": "فیلتر",
   "classes": {
-    "label": "کلاس‌ها"
+    "label": "کلاس‌ها",
+    "all": {
+      "title": "تمامی کلاس ها"
+    },
+    "count_one": "{{count}} کلاس",
+    "count_other": "{{count}} کلاس‌ها"
+  },
+  "labels": {
+    "label": "برچسب‌ها",
+    "all": {
+      "title": "همه برچسب‌ها",
+      "short": "برچسب‌ها"
+    },
+    "count_one": "{{count}} برچسب",
+    "count_other": "{{count}} برچسب‌ها"
+  },
+  "zones": {
+    "label": "ناحیه‌ها",
+    "all": {
+      "title": "همهٔ ناحیه‌ها",
+      "short": "ناحیه‌ها"
+    }
+  },
+  "dates": {
+    "selectPreset": "یک پیش‌تنظیم را انتخاب کنید…",
+    "all": {
+      "title": "همهٔ تاریخ‌ها",
+      "short": "تاریخ‌ها"
+    }
+  },
+  "features": {
+    "hasVideoClip": "دارای کلیپ ویدئویی است",
+    "submittedToFrigatePlus": {
+      "label": "ارسال‌شده به Frigate+",
+      "tips": "ابتدا باید روی اشیای ردیابی‌شده‌ای که عکس فوری دارند فیلتر کنید. <br /> <br />اشیای ردیابی‌شده بدون عکس فوری نمی‌توانند به Frigate+ ارسال شوند."
+    },
+    "label": "قابلیت‌ها",
+    "hasSnapshot": "دارای یک عکس فوری"
+  },
+  "sort": {
+    "label": "مرتب‌سازی",
+    "dateAsc": "تاریخ (صعودی)",
+    "dateDesc": "تاریخ (نزولی)",
+    "scoreAsc": "امتیاز شیء (صعودی)",
+    "scoreDesc": "امتیاز شیء (نزولی)",
+    "speedAsc": "سرعت تخمینی (صعودی)",
+    "speedDesc": "سرعت تخمینی (نزولی)",
+    "relevance": "آموزش چهره به‌عنوان:ارتباط"
+  },
+  "more": "فیلترهای بیشتر",
+  "reset": {
+    "label": "بازنشانی فیلترها به مقادیر پیش‌فرض"
+  },
+  "timeRange": "بازهٔ زمانی",
+  "subLabels": {
+    "label": "زیربرچسب‌ها",
+    "all": "همهٔ زیر برچسب‌ها"
+  },
+  "attributes": {
+    "label": "ویژگی‌های طبقه‌بندی",
+    "all": "همهٔ ویژگی‌ها"
+  },
+  "score": "امتیاز",
+  "estimatedSpeed": "سرعت تخمینی ( {{unit}})",
+  "cameras": {
+    "label": "فیلتر دوربین‌ها",
+    "all": {
+      "title": "همهٔ دوربین‌ها",
+      "short": "دوربین‌ها"
+    }
+  },
+  "logSettings": {
+    "filterBySeverity": "فیلتر کردن لاگ‌ها بر اساس شدت",
+    "loading": {
+      "desc": "وقتی پنل لاگ تا پایین‌ترین نقطه اسکرول شود، لاگ‌های جدید هنگام اضافه‌شدن به‌صورت خودکار نمایش داده می‌شوند.",
+      "title": "در حال بارگذاری"
+    },
+    "label": "فیلتر سطح لاگ",
+    "disableLogStreaming": "غیرفعال کردن پخش زندهٔ لاگ",
+    "allLogs": "همهٔ لاگ‌ها"
+  },
+  "trackedObjectDelete": {
+    "title": "تأیید حذف",
+    "toast": {
+      "success": "اشیای ردیابی‌شده با موفقیت حذف شدند.",
+      "error": "حذف اشیای ردیابی‌شده ناموفق بود: {{errorMessage}}"
+    },
+    "desc": "حذف این {{objectLength}} شیء ردیابی‌شده باعث حذف عکس فوری، هرگونه امبدینگِ ذخیره‌شده و همهٔ ورودی‌های مرتبط با چرخهٔ عمر شیء می‌شود. ویدیوهای ضبط‌شدهٔ این اشیای ردیابی‌شده در نمای تاریخچه <em>حذف نخواهند شد</em>.<br /><br />آیا مطمئن هستید که می‌خواهید ادامه دهید؟<br /><br />برای رد کردن این پنجره در آینده، کلید <em>Shift</em> را نگه دارید."
+  },
+  "zoneMask": {
+    "filterBy": "فیلتر بر اساس ماسک ناحیه"
+  },
+  "recognizedLicensePlates": {
+    "loadFailed": "بارگذاری پلاک‌های شناسایی‌شده ناموفق بود.",
+    "loading": "در حال بارگذاری پلاک‌های شناسایی‌شده…",
+    "noLicensePlatesFound": "هیچ پلاکی پیدا نشد.",
+    "selectAll": "انتخاب همه",
+    "title": "پلاک‌های شناسایی‌شده",
+    "placeholder": "برای جستجوی پلاک‌ها تایپ کنید…",
+    "selectPlatesFromList": "یک یا چند پلاک را از فهرست انتخاب کنید.",
+    "clearAll": "پاک کردن همه"
+  },
+  "review": {
+    "showReviewed": "نمایش بازبینی‌شده‌ها"
+  },
+  "motion": {
+    "showMotionOnly": "فقط نمایش حرکت"
+  },
+  "explore": {
+    "settings": {
+      "title": "تنظیمات",
+      "defaultView": {
+        "title": "نمای پیش‌فرض",
+        "summary": "خلاصه",
+        "unfilteredGrid": "شبکهٔ بدون فیلتر",
+        "desc": "هنگامی که هیچ فیلتری انتخاب نشده باشد، خلاصه ای از آخرین اشیاء ردیابی شده در هر برچسب یا یک شبکه فیلتر نشده نمایش داده خواهد شد."
+      },
+      "gridColumns": {
+        "title": "ستون‌های شبکه",
+        "desc": "تعداد ستون‌ها را در نمای شبکه انتخاب کنید."
+      },
+      "searchSource": {
+        "label": "منبع جستجو",
+        "desc": "انتخاب کنید که در بندانگشتی‌ها جستجو شود یا در توضیحات اشیای ردیابی‌شده.",
+        "options": {
+          "thumbnailImage": "تصویر پیش‌نمایش",
+          "description": "توضیحات"
+        }
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "یک تاریخ را برای فیلتر کردن انتخاب کنید"
+      }
+    }
   }
 }
diff --git a/web/public/locales/fa/components/icons.json b/web/public/locales/fa/components/icons.json
index 20111cbaa..0fa7bec26 100644
--- a/web/public/locales/fa/components/icons.json
+++ b/web/public/locales/fa/components/icons.json
@@ -2,7 +2,7 @@
   "iconPicker": {
     "selectIcon": "انتخاب آیکون",
     "search": {
-      "placeholder": "جستجو برای آیکون"
+      "placeholder": "جستجو برای آیکون…"
     }
   }
 }
diff --git a/web/public/locales/fa/components/player.json b/web/public/locales/fa/components/player.json
index dae6c8b37..38e543fb1 100644
--- a/web/public/locales/fa/components/player.json
+++ b/web/public/locales/fa/components/player.json
@@ -1,5 +1,51 @@
 {
   "noRecordingsFoundForThisTime": "ویدیویی برای این زمان وجود ندارد",
   "noPreviewFound": "پیش‌نمایش پیدا نشد",
-  "noPreviewFoundFor": "هیچ پیش‌نمایشی برای  {{cameraName}} پیدا نشد"
+  "noPreviewFoundFor": "هیچ پیش‌نمایشی برای {{cameraName}} پیدا نشد",
+  "submitFrigatePlus": {
+    "title": "این فریم به فریگیت+ ارسال شود؟",
+    "submit": "ارسال"
+  },
+  "livePlayerRequiredIOSVersion": "برای این نوع پخش زنده، iOS 17.1 یا بالاتر لازم است.",
+  "streamOffline": {
+    "title": "جریان آفلاین",
+    "desc": "هیچ فریمی از جریان <code>detect</code> دوربین {{cameraName}} دریافت نشده است، گزارش‌های خطا را بررسی کنید"
+  },
+  "cameraDisabled": "دوربین غیرفعال است",
+  "stats": {
+    "streamType": {
+      "title": "نوع جریان:",
+      "short": "نوع"
+    },
+    "bandwidth": {
+      "title": "پهنای باند:",
+      "short": "پهنای باند"
+    },
+    "latency": {
+      "title": "تأخیر:",
+      "value": "{{seconds}} ثانیه‌ها",
+      "short": {
+        "title": "تأخیر",
+        "value": "{{seconds}} ثانیه"
+      }
+    },
+    "totalFrames": "مجموع فریم‌ها:",
+    "droppedFrames": {
+      "title": "فریم‌های از دست‌رفته:",
+      "short": {
+        "title": "از دست‌رفته",
+        "value": "{{droppedFrames}} فریم"
+      }
+    },
+    "decodedFrames": "فریم‌های رمزگشایی‌شده:",
+    "droppedFrameRate": "نرخ فریم‌های از دست‌رفته:"
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "فریم با موفقیت به Frigate+ ارسال شد"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "ارسال فریم به Frigate+ ناموفق بود"
+    }
+  }
 }
diff --git a/web/public/locales/fa/objects.json b/web/public/locales/fa/objects.json
index 278086db2..c2ce4e4cf 100644
--- a/web/public/locales/fa/objects.json
+++ b/web/public/locales/fa/objects.json
@@ -16,5 +16,105 @@
   "bird": "پرنده",
   "cat": "گربه",
   "dog": "سگ",
-  "horse": "اسب"
+  "horse": "اسب",
+  "shoe": "کفش",
+  "eye_glasses": "عینک",
+  "handbag": "کیف دستی",
+  "tie": "کراوات",
+  "suitcase": "چمدان",
+  "frisbee": "فریزبی",
+  "sheep": "گوسفند",
+  "cow": "گاو",
+  "elephant": "فیل",
+  "bear": "خرس",
+  "zebra": "گورخر",
+  "giraffe": "زرافه",
+  "hat": "کلاه",
+  "umbrella": "چتر",
+  "skis": "اسکی",
+  "snowboard": "اسنوبورد",
+  "sports_ball": "توپ ورزشی",
+  "kite": "بادبادک",
+  "baseball_bat": "برای استفاده از چند فیلتر، آن‌ها را یکی پس از دیگری با یک فاصله از هم اضافه کنید.چوب بیسبال",
+  "baseball_glove": "دستکش بیسبال",
+  "skateboard": "اسکیت‌بورد",
+  "hot_dog": "هات‌داگ",
+  "cake": "کیک",
+  "couch": "مبل",
+  "bed": "تخت",
+  "dining_table": "میز ناهارخوری",
+  "toilet": "توالت",
+  "tv": "تلویزیون",
+  "mouse": "موش",
+  "keyboard": "صفحه‌کلید",
+  "goat": "بز",
+  "oven": "فر",
+  "sink": "سینک",
+  "refrigerator": "یخچال",
+  "book": "کتاب",
+  "vase": "گلدان",
+  "scissors": "قیچی",
+  "hair_dryer": "سشوار",
+  "hair_brush": "برس مو",
+  "vehicle": "وسیلهٔ نقلیه",
+  "deer": "گوزن",
+  "fox": "روباه",
+  "raccoon": "راکون",
+  "on_demand": "در صورت نیاز",
+  "license_plate": "پلاک خودرو",
+  "package": "بسته",
+  "amazon": "آمازون",
+  "usps": "USPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "purolator": "پرولاتور",
+  "postnord": "PostNord",
+  "backpack": "کوله‌پشتی",
+  "tennis_racket": "راکت تنیس",
+  "bottle": "بطری",
+  "plate": "پلاک",
+  "wine_glass": "جام شراب",
+  "cup": "فنجان",
+  "fork": "چنگال",
+  "knife": "چاقو",
+  "spoon": "قاشق",
+  "bowl": "کاسه",
+  "banana": "موز",
+  "apple": "سیب",
+  "animal": "حیوان",
+  "sandwich": "ساندویچ",
+  "orange": "پرتقال",
+  "broccoli": "بروکلی",
+  "bark": "پارس",
+  "carrot": "هویج",
+  "pizza": "پیتزا",
+  "donut": "دونات",
+  "chair": "صندلی",
+  "potted_plant": "گیاه گلدانی",
+  "mirror": "آینه",
+  "window": "پنجره",
+  "desk": "میز",
+  "door": "در",
+  "laptop": "لپ‌تاپ",
+  "remote": "ریموت",
+  "cell_phone": "گوشی موبایل",
+  "microwave": "مایکروویو",
+  "toaster": "توستر",
+  "blender": "مخلوط‌کن",
+  "clock": "ساعت",
+  "teddy_bear": "خرس عروسکی",
+  "toothbrush": "مسواک",
+  "squirrel": "سنجاب",
+  "rabbit": "خرگوش",
+  "robot_lawnmower": "چمن‌زن رباتی",
+  "waste_bin": "سطل زباله",
+  "face": "چهره",
+  "bbq_grill": "گریل کباب",
+  "ups": "یو‌پی‌اس",
+  "an_post": "آن پُست",
+  "postnl": "پست‌اِن‌اِل",
+  "nzpost": "اِن‌زد پُست",
+  "gls": "جی‌اِل‌اِس",
+  "dpd": "دی‌پی‌دی",
+  "surfboard": "تخته موج سواری"
 }
diff --git a/web/public/locales/fa/views/classificationModel.json b/web/public/locales/fa/views/classificationModel.json
new file mode 100644
index 000000000..b61d55e4d
--- /dev/null
+++ b/web/public/locales/fa/views/classificationModel.json
@@ -0,0 +1,187 @@
+{
+  "button": {
+    "deleteClassificationAttempts": "حذف تصاویر طبقه بندی",
+    "renameCategory": "تغییر نام کلاس",
+    "deleteCategory": "حذف کردن کلاس",
+    "deleteImages": "حذف کردن عکس ها",
+    "trainModel": "مدل آموزش",
+    "addClassification": "افزودن دسته‌بندی",
+    "deleteModels": "حذف مدل‌ها",
+    "editModel": "ویرایش مدل"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "کلاس حذف شده",
+      "deletedImage": "عکس های حذف شده",
+      "categorizedImage": "تصویر طبقه بندی شده",
+      "trainedModel": "مدل آموزش دیده شده.",
+      "trainingModel": "آموزش دادن مدل با موفقیت شروع شد.",
+      "deletedModel_one": "{{count}} مدل با موفقیت حذف شد",
+      "deletedModel_other": "{{count}} مدل با موفقیت حذف شدند",
+      "updatedModel": "پیکربندی مدل با موفقیت به‌روزرسانی شد",
+      "renamedCategory": "نام کلاس با موفقیت به {{name}} تغییر یافت"
+    },
+    "error": {
+      "deleteImageFailed": "حذف نشد: {{errorMessage}}",
+      "deleteCategoryFailed": "کلاس حذف نشد: {{errorMessage}}",
+      "deleteModelFailed": "حذف مدل ناموفق بود: {{errorMessage}}",
+      "categorizeFailed": "دسته‌بندی تصویر ناموفق بود: {{errorMessage}}",
+      "trainingFailed": "آموزش مدل ناموفق بود. برای جزئیات، گزارش‌های Frigate را بررسی کنید.",
+      "trainingFailedToStart": "شروع آموزش مدل ناموفق بود: {{errorMessage}}",
+      "updateModelFailed": "به‌روزرسانی مدل ناموفق بود: {{errorMessage}}",
+      "renameCategoryFailed": "تغییر نام کلاس ناموفق بود: {{errorMessage}}"
+    }
+  },
+  "documentTitle": "دسته بندی مدل ها - فریگیت",
+  "description": {
+    "invalidName": "نام نامعتبر، نام ها فقط می توانند شامل حروف، اعداد، فاصله، آپستروف، زیرخط و خط فاصله باشند."
+  },
+  "details": {
+    "none": "هیچکدام",
+    "scoreInfo": "امتیاز، نشان دهنده میانگین دقت در تشخیص و دسته بندی این شیء در بین تمام تشخیص‌هاست.",
+    "unknown": "ناشناخته"
+  },
+  "tooltip": {
+    "trainingInProgress": "مدل در حال آموزش است",
+    "noNewImages": "هیچ تصویر جدیدی برای آموزش وجود ندارد. ابتدا تصاویر بیشتری را در مجموعه‌داده دسته‌بندی کنید.",
+    "noChanges": "از آخرین آموزش، هیچ تغییری در مجموعه‌داده ایجاد نشده است.",
+    "modelNotReady": "مدل برای آموزش آماده نیست"
+  },
+  "deleteCategory": {
+    "title": "(pending)",
+    "desc": "آیا مطمئن هستید که می‌خواهید کلاس {{name}} را حذف کنید؟ این کار همهٔ تصاویر مرتبط را برای همیشه حذف می‌کند و نیاز به آموزش مجدد مدل دارد.",
+    "minClassesTitle": "امکان حذف کلاس وجود ندارد",
+    "minClassesDesc": "یک مدل دسته‌بندی باید دست‌کم ۲ کلاس داشته باشد. پیش از حذف این مورد، یک کلاس دیگر اضافه کنید."
+  },
+  "train": {
+    "titleShort": "اخیر",
+    "title": "طبقه‌بندی‌های اخیر",
+    "aria": "انتخاب طبقه‌بندی‌های اخیر"
+  },
+  "deleteModel": {
+    "title": "حذف مدل دسته‌بندی",
+    "single": "آیا مطمئن هستید که می‌خواهید {{name}} را حذف کنید؟ این کار همهٔ داده‌های مرتبط از جمله تصاویر و داده‌های آموزش را برای همیشه حذف می‌کند. این عمل قابل بازگشت نیست.",
+    "desc_one": "آیا مطمئن هستید که می‌خواهید این {{count}} مدل را حذف کنید؟ این کار همهٔ داده‌های مرتبط از جمله تصاویر و داده‌های آموزشی را برای همیشه حذف می‌کند. این عمل قابل بازگشت نیست.",
+    "desc_other": "آیا مطمئن هستید که می‌خواهید {{count}} مدل را حذف کنید؟ این کار همهٔ داده‌های مرتبط از جمله تصاویر و داده‌های آموزشی را برای همیشه حذف می‌کند. این عمل قابل بازگشت نیست."
+  },
+  "categorizeImage": "طبقه‌بندی تصویر",
+  "menu": {
+    "states": "حالت‌ها",
+    "objects": "اشیاء"
+  },
+  "noModels": {
+    "object": {
+      "description": "یک مدل سفارشی ایجاد کنید تا اشیای شناسایی‌شده را طبقه‌بندی کند.",
+      "title": "هیچ مدل طبقه‌بندی شیء وجود ندارد",
+      "buttonText": "ایجاد مدل شیء"
+    },
+    "state": {
+      "title": "هیچ مدل طبقه‌بندی حالت وجود ندارد",
+      "description": "یک مدل سفارشی ایجاد کنید تا تغییرات وضعیت را در نواحی مشخصِ دوربین پایش و طبقه‌بندی کند.",
+      "buttonText": "ایجاد مدل وضعیت"
+    }
+  },
+  "wizard": {
+    "title": "ایجاد طبقه‌بندی جدید",
+    "steps": {
+      "stateArea": "ناحیهٔ حالت",
+      "nameAndDefine": "نام‌گذاری و تعریف",
+      "chooseExamples": "انتخاب نمونه‌ها"
+    },
+    "step1": {
+      "description": "مدل‌های حالت نواحی ثابت دوربین را برای تغییرات پایش می‌کنند (مثلاً درِ باز/بسته). مدل‌های شیء به اشیای شناسایی‌شده طبقه‌بندی اضافه می‌کنند (مثلاً حیوانات شناخته‌شده، مأموران تحویل، و غیره).",
+      "namePlaceholder": "نام مدل را وارد کنید...",
+      "type": "نوع",
+      "typeObject": "شیء",
+      "objectLabelPlaceholder": "نوع شیء را انتخاب کنید...",
+      "classificationTypeDesc": "زیر‌برچسب‌ها متن اضافی به برچسب شیء اضافه می‌کنند (مثلاً «Person: UPS»). ویژگی‌ها فرادادهٔ قابل جست‌وجو هستند که جداگانه در فرادادهٔ شیء ذخیره می‌شوند.",
+      "classificationAttribute": "ویژگی",
+      "classes": "کلاس‌ها",
+      "classesTip": "دربارهٔ کلاس‌ها بیشتر بدانید",
+      "classesObjectDesc": "دسته‌بندی‌های مختلف را برای طبقه‌بندی اشیای شناسایی‌شده تعریف کنید. برای نمونه: «delivery_person»، «resident»، «stranger» برای طبقه‌بندی افراد.",
+      "errors": {
+        "nameLength": "نام مدل باید ۶۴ نویسه یا کم‌تر باشد",
+        "classesUnique": "نام کلاس‌ها باید یکتا باشند",
+        "stateRequiresTwoClasses": "مدل‌های حالت دست‌کم به ۲ کلاس نیاز دارند",
+        "objectLabelRequired": "لطفاً یک برچسب شیء را انتخاب کنید",
+        "nameRequired": "نام مدل الزامی است",
+        "nameOnlyNumbers": "نام مدل نمی‌تواند فقط شامل عدد باشد",
+        "noneNotAllowed": "کلاس «none» مجاز نیست",
+        "classRequired": "حداقل ۱ کلاس لازم است",
+        "objectTypeRequired": "لطفاً یک نوع طبقه‌بندی را انتخاب کنید"
+      },
+      "name": "نام",
+      "typeState": "وضعیت",
+      "objectLabel": "برچسب شیء",
+      "classificationType": "نوع طبقه‌بندی",
+      "classificationSubLabel": "زیر‌برچسب",
+      "classificationTypeTip": "دربارهٔ انواع طبقه‌بندی بیشتر بدانید",
+      "states": "وضعیت‌ها",
+      "classesStateDesc": "حالت‌های مختلفی را که ناحیهٔ دوربین شما می‌تواند در آن باشد تعریف کنید. برای مثال: «باز» و «بسته» برای یک درِ گاراژ.",
+      "classPlaceholder": "نام کلاس را وارد کنید…"
+    },
+    "step2": {
+      "description": "دوربین‌ها را انتخاب کنید و ناحیه‌ای را که باید برای هر دوربین پایش شود تعریف کنید. مدل، وضعیت این ناحیه‌ها را طبقه‌بندی می‌کند.",
+      "cameras": "دوربین‌ها",
+      "noCameras": "برای افزودن دوربین‌ها روی + کلیک کنید",
+      "selectCamera": "انتخاب دوربین",
+      "selectCameraPrompt": "برای تعریف ناحیهٔ پایش، یک دوربین را از فهرست انتخاب کنید"
+    },
+    "step3": {
+      "selectImagesDescription": "برای انتخاب، روی تصاویر کلیک کنید. وقتی کارتان با این کلاس تمام شد روی «ادامه» کلیک کنید.",
+      "generating": {
+        "description": "Frigate در حال استخراج تصاویر نماینده از ضبط‌های شماست. ممکن است کمی زمان ببرد…",
+        "title": "در حال تولید تصاویر نمونه"
+      },
+      "retryGenerate": "تلاش دوباره برای تولید",
+      "classifying": "در حال طبقه‌بندی و آموزش…",
+      "trainingStarted": "آموزش با موفقیت شروع شد",
+      "errors": {
+        "noCameras": "هیچ دوربینی پیکربندی نشده است",
+        "noObjectLabel": "هیچ برچسب شیئی انتخاب نشده است",
+        "generationFailed": "تولید ناموفق بود. لطفاً دوباره تلاش کنید.",
+        "classifyFailed": "طبقه‌بندی تصاویر ناموفق بود: {{error}}",
+        "generateFailed": "تولید نمونه‌ها ناموفق بود: {{error}}"
+      },
+      "missingStatesWarning": {
+        "title": "نمونه‌های وضعیتِ جاافتاده",
+        "description": "برای بهترین نتیجه، توصیه می‌شود برای همهٔ حالت‌ها نمونه انتخاب کنید. می‌توانید بدون انتخاب همهٔ حالت‌ها ادامه دهید، اما تا زمانی که همهٔ حالت‌ها تصویر نداشته باشند مدل آموزش داده نمی‌شود. پس از ادامه، از نمای «طبقه‌بندی‌های اخیر» برای طبقه‌بندی تصاویرِ حالت‌های جاافتاده استفاده کنید، سپس مدل را آموزش دهید."
+      },
+      "allImagesRequired_one": "لطفاً همهٔ تصاویر را طبقه‌بندی کنید. {{count}} تصویر باقی مانده است.",
+      "allImagesRequired_other": "لطفاً همهٔ تصاویر را طبقه‌بندی کنید. {{count}} تصویر باقی مانده است.",
+      "training": {
+        "title": "در حال آموزش مدل",
+        "description": "مدل شما در پس‌زمینه در حال آموزش است. این پنجره را ببندید؛ به‌محض تکمیل آموزش، مدل شما شروع به اجرا می‌کند."
+      },
+      "noImages": "هیچ تصویر نمونه‌ای تولید نشد",
+      "modelCreated": "مدل با موفقیت ایجاد شد. از نمای «طبقه‌بندی‌های اخیر» برای افزودن تصاویرِ وضعیت‌هایِ جاافتاده استفاده کنید، سپس مدل را آموزش دهید.",
+      "generateSuccess": "تصاویر نمونه با موفقیت تولید شد",
+      "selectImagesPrompt": "همهٔ تصاویر با {{className}} را انتخاب کنید"
+    }
+  },
+  "edit": {
+    "title": "ویرایش مدل طبقه‌بندی",
+    "descriptionState": "کلاس‌های این مدل طبقه‌بندی حالت را ویرایش کنید. اعمال تغییرات نیاز به بازآموزی مدل دارد.",
+    "descriptionObject": "نوع شیء و نوع طبقه‌بندی را برای این مدل طبقه‌بندی شیء ویرایش کنید.",
+    "stateClassesInfo": "توجه: تغییر کلاس‌های وضعیت نیازمند بازآموزی مدل با کلاس‌های به‌روزرسانی‌شده است."
+  },
+  "deleteDatasetImages": {
+    "title": "حذف تصاویر مجموعه‌داده",
+    "desc_one": "آیا مطمئن هستید که می‌خواهید این {{count}} تصویر را از {{dataset}} حذف کنید؟ این عمل قابل بازگشت نیست و نیاز به بازآموزی مدل دارد.",
+    "desc_other": "آیا مطمئن هستید که می‌خواهید {{count}} تصویر را از {{dataset}} حذف کنید؟ این عمل قابل بازگشت نیست و نیاز به بازآموزی مدل دارد."
+  },
+  "deleteTrainImages": {
+    "title": "حذف تصاویر آموزش",
+    "desc_one": "آیا مطمئن هستید که می‌خواهید این {{count}} تصویر را حذف کنید؟ این عمل قابل بازگشت نیست.",
+    "desc_other": "آیا مطمئن هستید که می‌خواهید {{count}} تصویر را حذف کنید؟ این عمل قابل بازگشت نیست."
+  },
+  "renameCategory": {
+    "title": "تغییر نام کلاس",
+    "desc": "یک نام جدید برای {{name}} وارد کنید. برای اعمال تغییر نام، لازم است مدل را بازآموزی کنید."
+  },
+  "categories": "کلاس‌ها",
+  "createCategory": {
+    "new": "ایجاد کلاس جدید"
+  },
+  "categorizeImageAs": "طبقه‌بندی تصویر به‌عنوان:"
+}
diff --git a/web/public/locales/fa/views/configEditor.json b/web/public/locales/fa/views/configEditor.json
index 0a57836db..c43489dbb 100644
--- a/web/public/locales/fa/views/configEditor.json
+++ b/web/public/locales/fa/views/configEditor.json
@@ -1,4 +1,18 @@
 {
   "documentTitle": "ویرایشگر کانفیگ - فریگیت",
-  "configEditor": "ویرایشگر کانفیگ"
+  "configEditor": "ویرایشگر کانفیگ",
+  "safeConfigEditor": "ویرایشگر تنظیمات (حالت امن)",
+  "safeModeDescription": "فریگیت به دلیل خطا در صحت سنجی پیکربندی، در حالت امن می باشد.",
+  "copyConfig": "کپی پیکربندی",
+  "saveAndRestart": "ذخیره و راه‌اندازی مجدد",
+  "saveOnly": "فقط ذخیره",
+  "confirm": "بدون ذخیره خارج می‌شوید؟",
+  "toast": {
+    "success": {
+      "copyToClipboard": "پیکربندی در کلیپ‌بورد کپی شد."
+    },
+    "error": {
+      "savingError": "خطا در ذخیره‌سازی پیکربندی"
+    }
+  }
 }
diff --git a/web/public/locales/fa/views/events.json b/web/public/locales/fa/views/events.json
index 4fc9338d6..cf3ca7871 100644
--- a/web/public/locales/fa/views/events.json
+++ b/web/public/locales/fa/views/events.json
@@ -2,6 +2,64 @@
   "alerts": "هشدار‌ها",
   "detections": "تشخیص‌ها",
   "motion": {
-    "label": "حرکت"
-  }
+    "label": "حرکت",
+    "only": "فقط حرکتی"
+  },
+  "allCameras": "همه دوربین‌ها",
+  "empty": {
+    "alert": "هیچ هشداری برای بازبینی وجود ندارد",
+    "detection": "هیچ تشخیصی برای بازبینی وجود ندارد",
+    "motion": "هیچ داده‌ای از حرکت پیدا نشد",
+    "recordingsDisabled": {
+      "title": "ضبط‌ها بایستی فعال باشند",
+      "description": "موارد بازبینی برای یک دوربین تنها درصورتی امکان ساخت دارند که ضبط‌ها برای آن دورین فعال باشد."
+    }
+  },
+  "timeline": "خط زمانی",
+  "timeline.aria": "انتخاب خط زمانی",
+  "zoomIn": "بزرگ‌نمایی",
+  "zoomOut": "کوچک‌نمایی",
+  "events": {
+    "aria": "انتخاب رویدادها",
+    "noFoundForTimePeriod": "برای این بازهٔ زمانی هیچ رویدادی یافت نشد.",
+    "label": "رویدادها"
+  },
+  "recordings": {
+    "documentTitle": "ضبط‌ها - فریگیت"
+  },
+  "calendarFilter": {
+    "last24Hours": "۲۴ ساعت گذشته"
+  },
+  "markAsReviewed": "علامت‌گذاری به‌عنوان بازبینی‌شده",
+  "markTheseItemsAsReviewed": "این موارد را به‌عنوان بازبینی‌شده علامت‌گذاری کنید",
+  "newReviewItems": {
+    "label": "مشاهدهٔ موارد جدید برای بازبینی",
+    "button": "موارد جدید برای بازبینی"
+  },
+  "detail": {
+    "label": "جزئیات",
+    "noDataFound": "داده‌ای برای بازبینیِ جزئیات وجود ندارد",
+    "aria": "تغییر وضعیتِ نمای جزئیات",
+    "trackedObject_one": "{{count}} شیء",
+    "trackedObject_other": "{{count}} اشیاء",
+    "noObjectDetailData": "دادهٔ جزئیات شیء در دسترس نیست.",
+    "settings": "تنظیمات نمای جزئیات",
+    "alwaysExpandActive": {
+      "title": "همیشه فعال را باز کنید",
+      "desc": "در صورت امکان، همیشه جزئیات شیء مربوط به موردِ بازبینیِ فعال را باز کنید."
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "نقطهٔ ردیابی‌شده",
+    "clickToSeek": "برای رفتن به این زمان کلیک کنید"
+  },
+  "documentTitle": "بازبینی - Frigate",
+  "selected_one": "{{count}} انتخاب شد",
+  "selected_other": "{{count}} انتخاب شدند",
+  "select_all": "همه",
+  "camera": "دوربین",
+  "detected": "گزینه‌هاشناسایی شد",
+  "normalActivity": "عادی",
+  "needsReview": "نیاز به بازبینی",
+  "securityConcern": "نگرانی امنیتی"
 }
diff --git a/web/public/locales/fa/views/explore.json b/web/public/locales/fa/views/explore.json
index f98ef706f..d532878c4 100644
--- a/web/public/locales/fa/views/explore.json
+++ b/web/public/locales/fa/views/explore.json
@@ -1,3 +1,248 @@
 {
-  "generativeAI": "هوش مصنوعی تولید کننده"
+  "generativeAI": "هوش مصنوعی تولید کننده",
+  "documentTitle": "کاوش - فریگیت",
+  "exploreMore": "نمایش اشیا {{label}} بیشتر",
+  "details": {
+    "timestamp": "زمان دقیق",
+    "item": {
+      "desc": "بررسی جزئیات مورد",
+      "button": {
+        "viewInExplore": "مشاهده در کاوش",
+        "share": "اشتراک‌گذاری این مورد بازبینی"
+      },
+      "tips": {
+        "hasMissingObjects": "اگر می‌خواهید Frigate اشیای ردیابی‌شده را برای برچسب‌های زیر ذخیره کند، پیکربندی خود را تنظیم کنید: <em> {{objects}} </em>",
+        "mismatch_one": "{{count}} شیء غیرقابلدسترس شناسایی شد و در این مورد بازبینی گنجانده شد. این اشیا یا شرایط لازم برای هشدار یا تشخیص را نداشتند یا قبلاً پاکسازی/حذف شدهاند.",
+        "mismatch_other": "{{count}} شیء غیرقابلدسترس شناسایی شدند و در این مورد بازبینی گنجانده شدند. این اشیا یا شرایط لازم برای هشدار یا تشخیص را نداشتند یا قبلاً پاکسازی/حذف شدهاند."
+      },
+      "toast": {
+        "success": {
+          "regenerate": "یک توضیح جدید از {{provider}} درخواست شد. بسته به سرعت ارائه‌دهندهٔ شما، بازتولیدِ توضیح جدید ممکن است کمی زمان ببرد.",
+          "updatedLPR": "پلاک با موفقیت به‌روزرسانی شد.",
+          "audioTranscription": "درخواست تبدیل گفتارِ صوت با موفقیت ثبت شد. بسته به سرعت سرور Frigate شما، تکمیل تبدیل گفتار ممکن است کمی زمان ببرد.",
+          "updatedSublabel": "زیر برچسب با موفقیت به‌روزرسانی شد.",
+          "updatedAttributes": "ویژگی‌ها با موفقیت به‌روزرسانی شد."
+        },
+        "error": {
+          "updatedSublabelFailed": "به‌روزرسانی زیر‌برچسب ناموفق بود: {{errorMessage}}",
+          "updatedAttributesFailed": "به‌روزرسانی ویژگی‌ها ناموفق بود: {{errorMessage}}",
+          "regenerate": "فراخوانی {{provider}} برای توضیح جدید ناموفق بود: {{errorMessage}}",
+          "updatedLPRFailed": "به‌روزرسانی پلاک ناموفق بود: {{errorMessage}}",
+          "audioTranscription": "درخواست رونویسی صدا ناموفق بود: {{errorMessage}}"
+        }
+      },
+      "title": "جزئیات مورد بازبینی"
+    },
+    "editSubLabel": {
+      "title": "ویرایش زیر‌برچسب",
+      "descNoLabel": "برای این شیء ردیابی‌شده یک زیر‌برچسب جدید وارد کنید",
+      "desc": "برای این {{label}} یک زیر‌برچسب جدید وارد کنید"
+    },
+    "editLPR": {
+      "desc": "برای {{label}} یک مقدار جدید برای پلاک وارد کنید",
+      "descNoLabel": "برای این شیء ردیابی‌شده یک مقدار جدید برای پلاک وارد کنید",
+      "title": "ویرایش پلاک"
+    },
+    "editAttributes": {
+      "desc": "ویژگی‌های طبقه‌بندی را برای {{label}} انتخاب کنید",
+      "title": "ویرایش ویژگی‌ها"
+    },
+    "topScore": {
+      "label": "بالاترین امتیاز",
+      "info": "بالاترین امتیاز، بالاترین امتیاز میانه برای شیء ردیابی‌شده است؛ بنابراین ممکن است با امتیازی که روی تصویر بندانگشتیِ نتیجهٔ جست‌وجو نمایش داده می‌شود متفاوت باشد."
+    },
+    "recognizedLicensePlate": "پلاک شناسایی‌شده",
+    "estimatedSpeed": "سرعت تخمینی",
+    "objects": "اشیا",
+    "zones": "ناحیه‌ها",
+    "button": {
+      "regenerate": {
+        "title": "بازتولید",
+        "label": "بازسازی توضیح شیء ردیابی‌شده"
+      },
+      "findSimilar": "یافتن مشابه"
+    },
+    "description": {
+      "placeholder": "توضیحِ شیء ردیابی‌شده",
+      "label": "توضیحات",
+      "aiTips": "Frigate تا زمانی که چرخهٔ عمر شیء ردیابی‌شده پایان نیابد، از ارائه‌دهندهٔ هوش مصنوعی مولد شما درخواست توضیح نمی‌کند."
+    },
+    "expandRegenerationMenu": "باز کردن منوی بازتولید",
+    "regenerateFromSnapshot": "بازتولید از اسنپ‌شات",
+    "tips": {
+      "descriptionSaved": "توضیح با موفقیت ذخیره شد",
+      "saveDescriptionFailed": "به‌روزرسانی توضیح ناموفق بود: {{errorMessage}}"
+    },
+    "label": "برچسب",
+    "snapshotScore": {
+      "label": "امتیاز عکس فوری"
+    },
+    "score": {
+      "label": "امتیاز"
+    },
+    "attributes": "ویژگی‌های طبقه‌بندی",
+    "camera": "دوربین",
+    "regenerateFromThumbnails": "بازسازی از تصاویر بندانگشتی",
+    "title": {
+      "label": "عنوان"
+    }
+  },
+  "exploreIsUnavailable": {
+    "title": "کاوش کردن در دسترس نیست",
+    "embeddingsReindexing": {
+      "startingUp": "درحال شروع…",
+      "context": "پس از اینکه جاسازی‌های شیء ردیابی‌شده، نمایه‌سازی مجدد را به پایان رساندند، می‌توان از کاوش استفاده کرد.",
+      "estimatedTime": "زمان تخمینی باقی‌مانده:",
+      "finishingShortly": "به‌زودی تمام می‌شود",
+      "step": {
+        "thumbnailsEmbedded": "تصاویر بندانگشتی جاسازی‌شده: ",
+        "descriptionsEmbedded": "توضیحات جاسازی‌شده: ",
+        "trackedObjectsProcessed": "اشیای ردیابی‌شدهٔ پردازش‌شده: "
+      }
+    },
+    "downloadingModels": {
+      "context": "Frigate در حال دانلود مدل‌های بردارسازی لازم برای پشتیبانی از قابلیت «جست‌وجوی معنایی» است. بسته به سرعت اتصال شبکه شما، این کار ممکن است چند دقیقه طول بکشد.",
+      "setup": {
+        "visionModel": "مدل بینایی",
+        "visionModelFeatureExtractor": "استخراج‌کنندهٔ ویژگی‌های مدل بینایی",
+        "textModel": "مدل متنی",
+        "textTokenizer": "توکن‌ساز متن"
+      },
+      "tips": {
+        "context": "ممکن است بخواهید پس از دانلود مدل‌ها، تعبیه‌های اشیای ردیابی‌شدهٔ خود را دوباره ایندکس کنید."
+      },
+      "error": "خطایی رخ داده است. گزارش‌های Frigate را بررسی کنید."
+    }
+  },
+  "trackingDetails": {
+    "adjustAnnotationSettings": "تنظیمات حاشیه‌نویسی را تنظیم کنید",
+    "scrollViewTips": "برای مشاهدهٔ لحظه‌های مهم چرخهٔ زندگی این شیء کلیک کنید.",
+    "autoTrackingTips": "موقعیت کادرها برای دوربین‌های ردیابی خودکار دقیق نخواهد بود.",
+    "count": "{{first}} از {{second}}",
+    "trackedPoint": "نقطهٔ ردیابی‌شده",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} شناسایی شد",
+      "entered_zone": "{{label}} وارد {{zones}} شد",
+      "active": "{{label}} فعال شد",
+      "stationary": "{{label}} ساکن شد",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} برای {{label}} شناسایی شد",
+        "other": "{{label}} به‌عنوان {{attribute}} شناسایی شد"
+      },
+      "gone": "{{label}} خارج شد",
+      "heard": "{{label}} شنیده شد",
+      "external": "{{label}} شناسایی شد",
+      "header": {
+        "zones": "ناحیه‌ها",
+        "ratio": "نسبت",
+        "area": "مساحت",
+        "score": "امتیاز"
+      }
+    },
+    "title": "جزئیات ردیابی",
+    "noImageFound": "برای این برچسب زمانی هیچ تصویری یافت نشد.",
+    "createObjectMask": "ایجاد ماسک شیء",
+    "annotationSettings": {
+      "title": "تنظیمات حاشیه‌نویسی",
+      "showAllZones": {
+        "title": "نمایش همهٔ مناطق",
+        "desc": "همیشه مناطق را روی فریم‌هایی که اشیا وارد یک منطقه شده‌اند نمایش دهید."
+      },
+      "offset": {
+        "toast": {
+          "success": "افست حاشیه‌نویسی برای {{camera}} در فایل پیکربندی ذخیره شد."
+        },
+        "label": "افست حاشیه‌نویسی",
+        "desc": "این داده از فید تشخیص دوربین شما می‌آید، اما روی تصاویر فید ضبط‌شده قرار می‌گیرد. بعید است این دو جریان کاملاً هم‌زمان باشند. در نتیجه، کادر محدوده و ویدیو دقیقاً روی هم منطبق نخواهند بود. می‌توانید با این تنظیمات، حاشیه‌نویسی‌ها را در زمان به جلو یا عقب جابه‌جا کنید تا با ویدئوی ضبط‌شده بهتر هم‌تراز شوند.",
+        "millisecondsToOffset": "میلی‌ثانیه برای جابه‌جایی حاشیه‌نویسی‌های تشخیص. <em>پیش‌فرض: 0 </em>",
+        "tips": "اگر پخش ویدیو جلوتر از کادرها و نقاط مسیر است مقدار را کمتر کنید و اگر پخش ویدیو عقب‌تر از آن‌هاست مقدار را بیشتر کنید. این مقدار می‌تواند منفی باشد."
+      }
+    },
+    "carousel": {
+      "previous": "اسلاید قبلی",
+      "next": "اسلاید بعدی"
+    }
+  },
+  "trackedObjectDetails": "جزئیات شیء ردیابی‌شده",
+  "type": {
+    "details": "جزئیات‌ها",
+    "snapshot": "عکس فوری",
+    "thumbnail": "پیش‌نمایش",
+    "video": "ویدیو",
+    "tracking_details": "جزئیات ردیابی"
+  },
+  "itemMenu": {
+    "downloadVideo": {
+      "aria": "دانلود ویدئو",
+      "label": "دانلود ویدیو"
+    },
+    "downloadSnapshot": {
+      "label": "دانلود اسنپ‌شات",
+      "aria": "دانلود عکس"
+    },
+    "downloadCleanSnapshot": {
+      "label": "دانلود اسنپ‌شاتِ بدون کادر",
+      "aria": "دانلود عکس فوری بدون کادر"
+    },
+    "viewTrackingDetails": {
+      "aria": "نمایش جزئیات ردیابی",
+      "label": "مشاهدهٔ جزئیات ردیابی"
+    },
+    "findSimilar": {
+      "label": "یافتن مشابه",
+      "aria": "یافتن اشیای ردیابی‌شدهٔ مشابه"
+    },
+    "addTrigger": {
+      "label": "افزودن تریگر",
+      "aria": "افزودن تریگر برای این شیء ردیابی‌شده"
+    },
+    "audioTranscription": {
+      "aria": "درخواست رونویسیِ صوتی",
+      "label": "رونویسی"
+    },
+    "submitToPlus": {
+      "aria": "ارسال به Frigate Plus",
+      "label": "ارسال به Frigate+"
+    },
+    "viewInHistory": {
+      "label": "مشاهده در تاریخچه",
+      "aria": "مشاهده در تاریخچه"
+    },
+    "showObjectDetails": {
+      "label": "نمایش مسیر شیء"
+    },
+    "hideObjectDetails": {
+      "label": "پنهان کردن مسیر شیء"
+    },
+    "deleteTrackedObject": {
+      "label": "حذف این شیء ردیابی‌شده"
+    }
+  },
+  "noTrackedObjects": "هیچ شیء ردیابی‌شده‌ای پیدا نشد",
+  "fetchingTrackedObjectsFailed": "خطا در دریافت اشیای ردیابی‌شده: {{errorMessage}}",
+  "trackedObjectsCount_one": "{{count}} شیء ردیابیشده ",
+  "trackedObjectsCount_other": "{{count}} اشیای ردیابیشده ",
+  "dialog": {
+    "confirmDelete": {
+      "title": "تأیید حذف",
+      "desc": "حذف این شیء ردیابی‌شده عکس فوری، هرگونه امبدینگ ذخیره‌شده و هر ورودی مرتبط با جزئیات ردیابی را حذف می‌کند. فیلم ضبط‌شدهٔ این شیء ردیابی‌شده در نمای تاریخ <em>حذف نخواهد شد</em>.<br /><br />آیا مطمئنید می‌خواهید ادامه دهید؟"
+    }
+  },
+  "searchResult": {
+    "tooltip": "{{type}} با {{confidence}}٪ مطابقت داشت",
+    "previousTrackedObject": "شیء ردیابی‌شدهٔ قبلی",
+    "nextTrackedObject": "شیء ردیابی‌شدهٔ بعدی",
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "شیء ردیابی‌شده با موفقیت حذف شد.",
+        "error": "حذف شیء ردیابی‌شده ناموفق بود: {{errorMessage}}"
+      }
+    }
+  },
+  "aiAnalysis": {
+    "title": "تحلیل هوش مصنوعی"
+  },
+  "concerns": {
+    "label": "نگرانی‌ها"
+  }
 }
diff --git a/web/public/locales/fa/views/exports.json b/web/public/locales/fa/views/exports.json
index a025b0752..46aec6287 100644
--- a/web/public/locales/fa/views/exports.json
+++ b/web/public/locales/fa/views/exports.json
@@ -1,5 +1,23 @@
 {
-  "search": "جستجو",
+  "search": "یافتن",
   "documentTitle": "گرفتن خروجی - فریگیت",
-  "noExports": "هیچ خروجی یافت نشد"
+  "noExports": "هیچ خروجی یافت نشد",
+  "deleteExport": "حذف خروجی",
+  "deleteExport.desc": "آیا مطمئن هستید که می‌خواهید {{exportName}} را حذف کنید؟",
+  "editExport": {
+    "title": "تغییر نام خروجی",
+    "desc": "یک نام جدید برای این خروجی وارد کنید.",
+    "saveExport": "ذخیرهٔ خروجی"
+  },
+  "tooltip": {
+    "shareExport": "اشتراک‌گذاری خروجی",
+    "downloadVideo": "دانلود ویدئو",
+    "editName": "ویرایش نام",
+    "deleteExport": "حذف خروجی"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "تغییر نام خروجی ناموفق بود: {{errorMessage}}"
+    }
+  }
 }
diff --git a/web/public/locales/fa/views/faceLibrary.json b/web/public/locales/fa/views/faceLibrary.json
index d14ad4fdc..4cf24c268 100644
--- a/web/public/locales/fa/views/faceLibrary.json
+++ b/web/public/locales/fa/views/faceLibrary.json
@@ -1,6 +1,90 @@
 {
   "description": {
-    "addFace": "مراحل اضافه کردن یک مجموعه جدید به کتابخانه چهره را دنبال کنید.",
-    "placeholder": "نامی برای این مجموعه وارد کنید"
+    "addFace": "با بارگزاری اولین عکستان، یک مجموعه جدید به کتابخانه چهره اضافه کنید.",
+    "placeholder": "نامی برای این مجموعه وارد کنید",
+    "invalidName": "نام نامعتبر، نام ها فقط می توانند شامل حروف، اعداد، فاصله، آپستروف، زیرخط و خط فاصله باشند."
+  },
+  "details": {
+    "timestamp": "زمان دقیق",
+    "unknown": "ناشناخته",
+    "scoreInfo": "امتیاز، میانگینِ وزن‌دارِ امتیاز همهٔ چهره‌هاست که وزن آن براساس اندازهٔ چهره در هر تصویر تعیین می‌شود."
+  },
+  "documentTitle": "کتابخانه چهره - Frigate",
+  "uploadFaceImage": {
+    "title": "بارگذاری تصویر چهره",
+    "desc": "یک تصویر بارگذاری کنید تا چهره‌ها اسکن شوند و برای {{pageToggle}} در نظر گرفته شود"
+  },
+  "collections": "مجموعه‌ها",
+  "createFaceLibrary": {
+    "new": "ایجاد چهرهٔ جدید",
+    "nextSteps": "برای ایجاد یک پایهٔ محکم:<li>از تب «تشخیص‌های اخیر» برای انتخاب و آموزش با تصاویر هر شخصِ شناسایی‌شده استفاده کنید.</li><li>برای بهترین نتیجه روی تصاویر روبه‌رو تمرکز کنید؛ از آموزش با تصاویری که چهره را از زاویه نشان می‌دهند خودداری کنید.</li></ul>"
+  },
+  "steps": {
+    "faceName": "نام چهره را وارد کنید",
+    "uploadFace": "بارگذاری تصویر چهره",
+    "nextSteps": "مراحل بعدی",
+    "description": {
+      "uploadFace": "تصویری از {{name}} بارگذاری کنید که چهرهٔ او را از زاویهٔ روبه‌رو نشان دهد. لازم نیست تصویر فقط به چهرهٔ او برش داده شود."
+    }
+  },
+  "button": {
+    "addFace": "افزودن چهره",
+    "renameFace": "تغییر نام چهره",
+    "deleteFace": "حذف چهره",
+    "uploadImage": "بارگذاری تصویر",
+    "reprocessFace": "پردازش مجدد چهره",
+    "deleteFaceAttempts": "حذف چهره‌ها"
+  },
+  "imageEntry": {
+    "validation": {
+      "selectImage": "لطفاً یک فایل تصویر انتخاب کنید."
+    },
+    "dropActive": "تصویر را اینجا رها کنید…",
+    "dropInstructions": "یک تصویر را اینجا بکشید و رها کنید یا جای‌گذاری کنید، یا برای انتخاب کلیک کنید",
+    "maxSize": "حداکثر اندازه: {{size}}MB"
+  },
+  "train": {
+    "title": "تشخیص‌های اخیر",
+    "titleShort": "اخیر",
+    "aria": "تشخیص‌های اخیر را انتخاب کنید",
+    "empty": "تلاشِ اخیر برای تشخیص چهره وجود ندارد"
+  },
+  "deleteFaceLibrary": {
+    "title": "حذف نام",
+    "desc": "آیا مطمئن هستید می‌خواهید مجموعهٔ {{name}} را حذف کنید؟ این کار همهٔ چهره‌های مرتبط را برای همیشه حذف می‌کند."
+  },
+  "deleteFaceAttempts": {
+    "title": "حذف چهره‌ها",
+    "desc_one": "آیا مطمئن هستید که می‌خواهید {{count}} چهره را حذف کنید؟ این عمل قابل بازگشت نیست.",
+    "desc_other": "آیا مطمئن هستید که می‌خواهید {{count}} چهره را حذف کنید؟ این عمل قابل بازگشت نیست."
+  },
+  "renameFace": {
+    "title": "تغییر نام چهره",
+    "desc": "یک نام جدید برای {{name}} وارد کنید"
+  },
+  "nofaces": "هیچ چهره‌ای موجود نیست",
+  "trainFaceAs": "شناسایی شدآموزش چهره به‌عنوان:",
+  "trainFace": "آموزش چهره",
+  "toast": {
+    "success": {
+      "uploadedImage": "تصویر با موفقیت بارگذاری شد.",
+      "addFaceLibrary": "{{name}} با موفقیت به کتابخانهٔ چهره اضافه شد!",
+      "deletedFace_one": "حذف این {{count}} چهره با موفقیت انجام شد.",
+      "deletedFace_other": "حذف {{count}} چهره با موفقیت انجام شد.",
+      "deletedName_one": "{{count}} چهره با موفقیت حذف شد.",
+      "deletedName_other": "{{count}} چهره با موفقیت حذف شدند.",
+      "renamedFace": "نام چهره با موفقیت به {{name}} تغییر یافت",
+      "trainedFace": "آموزش چهره با موفقیت انجام شد.",
+      "updatedFaceScore": "امتیاز چهره با موفقیت به {{name}} ( {{score}}) به‌روزرسانی شد."
+    },
+    "error": {
+      "uploadingImageFailed": "آپلود تصویر ناموفق بود: {{errorMessage}}",
+      "addFaceLibraryFailed": "تنظیم نام چهره ناموفق بود: {{errorMessage}}",
+      "deleteFaceFailed": "حذف ناموفق بود: {{errorMessage}}",
+      "deleteNameFailed": "حذف نام ناموفق بود: {{errorMessage}}",
+      "renameFaceFailed": "تغییر نام چهره ناموفق بود: {{errorMessage}}",
+      "trainFailed": "آموزش ناموفق بود: {{errorMessage}}",
+      "updateFaceScoreFailed": "به‌روزرسانی امتیاز چهره ناموفق بود: {{errorMessage}}"
+    }
   }
 }
diff --git a/web/public/locales/fa/views/live.json b/web/public/locales/fa/views/live.json
index b459a7cff..383da433c 100644
--- a/web/public/locales/fa/views/live.json
+++ b/web/public/locales/fa/views/live.json
@@ -1,4 +1,186 @@
 {
   "documentTitle": "زنده - فریگیت",
-  "documentTitle.withCamera": "{{camera}} - زنده - فریگیت"
+  "documentTitle.withCamera": "{{camera}} - زنده - فریگیت",
+  "lowBandwidthMode": "حالت کاهش مصرف پهنای باند",
+  "twoWayTalk": {
+    "enable": "فعال سازی مکالمه دوطرفه",
+    "disable": "غیرفعال کردن گفتگوی دوطرفه"
+  },
+  "cameraAudio": {
+    "enable": "فعالسازی صدای دوربین",
+    "disable": "غیرفعال کردن صدای دوربین"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "برای قرار دادن دوربین در مرکز، در کادر کلیک کنید",
+        "enable": "فعال‌سازی کلیک برای جابه‌جایی",
+        "disable": "غیرفعال‌سازی کلیک برای جابه‌جایی"
+      },
+      "left": {
+        "label": "دوربین PTZ را به چپ حرکت دهید"
+      },
+      "up": {
+        "label": "دوربین PTZ را به بالا حرکت دهید"
+      },
+      "right": {
+        "label": "دوربین PTZ را به راست حرکت دهید"
+      },
+      "down": {
+        "label": "دوربین PTZ را به پایین حرکت دهید"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "روی دوربین PTZ بزرگ‌نمایی کنید"
+      },
+      "out": {
+        "label": "روی دوربین PTZ کوچک‌نمایی کنید"
+      }
+    },
+    "focus": {
+      "in": {
+        "label": "فوکوس دوربین PTZ را به داخل ببرید"
+      },
+      "out": {
+        "label": "فوکوس دوربین PTZ را به بیرون ببرید"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "برای قرار دادن دوربین PTZ در مرکز، داخل کادر کلیک کنید"
+      }
+    },
+    "presets": "پیش‌تنظیم‌های دوربین PTZ"
+  },
+  "recording": {
+    "disable": "غیرفعال کردن ضبط",
+    "enable": "فعال‌سازی ضبط"
+  },
+  "snapshots": {
+    "enable": "فعال کردن عکس‌های فوری",
+    "disable": "غیرفعال کردن عکس‌های فوری"
+  },
+  "snapshot": {
+    "takeSnapshot": "دانلود عکس فوری",
+    "noVideoSource": "منبع ویدیویی برای عکس فوری در دسترس نیست.",
+    "captureFailed": "گرفتن عکس فوری ناموفق بود.",
+    "downloadStarted": "دانلود عکس فوری آغاز شد."
+  },
+  "camera": {
+    "enable": "فعال کردن دوربین",
+    "disable": "غیرفعال کردن دوربین"
+  },
+  "muteCameras": {
+    "enable": "بی‌صدا کردن همهٔ دوربین‌ها",
+    "disable": "قطع بی‌صدا برای همهٔ دوربین‌ها"
+  },
+  "detect": {
+    "enable": "فعال‌سازی تشخیص",
+    "disable": "غیرفعال‌سازی تشخیص"
+  },
+  "audioDetect": {
+    "enable": "فعال‌سازی تشخیص صدا",
+    "disable": "غیرفعال‌سازی تشخیص صدا"
+  },
+  "transcription": {
+    "enable": "فعال‌سازی رونوشت‌برداری زندهٔ صدا",
+    "disable": "غیرفعال‌سازی رونوشت‌برداری زندهٔ صدا"
+  },
+  "autotracking": {
+    "enable": "فعال‌سازی ردیابی خودکار",
+    "disable": "غیرفعال کردن ردیابی خودکار"
+  },
+  "streamingSettings": "تنظیمات استریم",
+  "audio": "صدا",
+  "stream": {
+    "title": "جریان",
+    "audio": {
+      "tips": {
+        "title": "برای این استریم، صدا باید از دوربین شما خروجی داده شود و در go2rtc پیکربندی شده باشد."
+      },
+      "unavailable": "صدا برای این استریم در دسترس نیست",
+      "available": "برای این جریان صدا در دسترس است"
+    },
+    "twoWayTalk": {
+      "tips": "دستگاه شما باید از این قابلیت پشتیبانی کند و WebRTC برای مکالمهٔ دوطرفه پیکربندی شده باشد.",
+      "unavailable": "مکالمهٔ دوطرفه برای این استریم در دسترس نیست",
+      "available": "گفت‌وگوی دوطرفه برای این جریان در دسترس است"
+    },
+    "playInBackground": {
+      "label": "پخش در پس‌زمینه",
+      "tips": "این گزینه را فعال کنید تا هنگام پنهان بودن پخش‌کننده، پخش زنده ادامه یابد."
+    },
+    "debug": {
+      "picker": "انتخاب جریان در حالت اشکال‌زدایی در دسترس نیست. نمای اشکال‌زدایی همیشه از جریانی استفاده می‌کند که نقش detect به آن اختصاص داده شده است."
+    },
+    "lowBandwidth": {
+      "tips": "به‌دلیل بافر شدن یا خطاهای جریان، نمای زنده در حالت کم‌پهنای‌باند است.",
+      "resetStream": "بازنشانی جریان"
+    }
+  },
+  "cameraSettings": {
+    "title": "تنظیمات {{camera}}",
+    "objectDetection": "تشخیص شیء",
+    "snapshots": "اسنپ‌شات‌ها",
+    "audioDetection": "تشخیص صدا",
+    "autotracking": "ردیابی خودکار",
+    "cameraEnabled": "دوربین فعال",
+    "recording": "ضبط",
+    "transcription": "رونویسی صوتی"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "motion": "حرکت",
+      "all": "همه",
+      "active_objects": "اشیای فعال"
+    }
+  },
+  "editLayout": {
+    "label": "ویرایش چیدمان",
+    "group": {
+      "label": "ویرایش گروه دوربین"
+    },
+    "exitEdit": "خروج از حالت ویرایش"
+  },
+  "noCameras": {
+    "title": "هیچ دوربینی پیکربندی نشده است",
+    "buttonText": "افزودن دوربین",
+    "restricted": {
+      "description": "شما اجازهٔ مشاهدهٔ هیچ دوربینی را در این گروه ندارید.",
+      "title": "هیچ دوربینی در دسترس نیست"
+    },
+    "description": "برای شروع، یک دوربین را به Frigate متصل کنید."
+  },
+  "streamStats": {
+    "enable": "نمایش آمار پخش",
+    "disable": "پنهان کردن آمار پخش"
+  },
+  "manualRecording": {
+    "tips": "بر اساس تنظیمات نگهداری ضبطِ این دوربین، یک عکس فوری دانلود کنید یا یک رویداد دستی را شروع کنید.",
+    "playInBackground": {
+      "label": "پخش در پس‌زمینه",
+      "desc": "این گزینه را فعال کنید تا هنگام پنهان بودن پخش‌کننده، پخش زنده ادامه یابد."
+    },
+    "showStats": {
+      "label": "نمایش آمار",
+      "desc": "این گزینه را فعال کنید تا آمار پخش به‌صورت هم‌پوشان روی تصویر دوربین نمایش داده شود."
+    },
+    "debugView": "نمای اشکال‌زدایی",
+    "start": "شروع ضبط درخواستی",
+    "started": "ضبط دستیِ درخواستی شروع شد.",
+    "failedToStart": "شروع ضبط دستیِ درخواستی ناموفق بود.",
+    "recordDisabledTips": "از آن‌جا که ضبط برای این دوربین در تنظیمات غیرفعال یا محدود شده است، فقط یک عکس فوری ذخیره می‌شود.",
+    "end": "پایان ضبط درخواستی",
+    "ended": "ضبط دستیِ درخواستی پایان یافت.",
+    "failedToEnd": "پایان دادنِ ضبط دستیِ درخواستی ناموفق بود.",
+    "title": "بر حسب تقاضا"
+  },
+  "notifications": "اعلان‌ها",
+  "suspend": {
+    "forTime": "تعلیق به مدت: "
+  },
+  "history": {
+    "label": "نمایش ویدیوهای تاریخی"
+  }
 }
diff --git a/web/public/locales/fa/views/recording.json b/web/public/locales/fa/views/recording.json
index 5dbfe95be..a7a9a133c 100644
--- a/web/public/locales/fa/views/recording.json
+++ b/web/public/locales/fa/views/recording.json
@@ -1,5 +1,12 @@
 {
   "filter": "فیلتر",
-  "export": "گرفتن خروجی",
-  "calendar": "تفویم"
+  "export": "خروجی گرفتن",
+  "calendar": "تقویم",
+  "filters": "فیلترها",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "بازهٔ زمانی معتبری انتخاب نشده است",
+      "endTimeMustAfterStartTime": "زمان پایان باید بعد از زمان شروع باشد"
+    }
+  }
 }
diff --git a/web/public/locales/fa/views/search.json b/web/public/locales/fa/views/search.json
index b4931ae70..007abe106 100644
--- a/web/public/locales/fa/views/search.json
+++ b/web/public/locales/fa/views/search.json
@@ -1,5 +1,73 @@
 {
-  "search": "جستجو",
+  "search": "یافتن",
   "savedSearches": "جستجوهای ذخیره شده",
-  "searchFor": "جستجو برای  {{inputValue}}"
+  "searchFor": "جستجو برای {{inputValue}}",
+  "button": {
+    "clear": "پاک کردن جستجو",
+    "save": "ذخیره جست‌وجو",
+    "delete": "حذف جستجوی ذخیره‌شده",
+    "filterInformation": "اطلاعات فیلتر",
+    "filterActive": "فیلترها فعال‌اند"
+  },
+  "trackedObjectId": "شناسهٔ شیء ردیابی‌شده",
+  "filter": {
+    "label": {
+      "cameras": "دوربین‌ها",
+      "labels": "برچسب‌ها",
+      "sub_labels": "زیر‌برچسب‌ها",
+      "attributes": "صفت‌ها",
+      "search_type": "نوع جستجو",
+      "time_range": "بازهٔ زمانی",
+      "zones": "ناحیه‌ها",
+      "before": "قبل از",
+      "after": "بعد از",
+      "min_score": "حداقل امتیاز",
+      "max_score": "حداکثر امتیاز",
+      "min_speed": "حداقل سرعت",
+      "max_speed": "حداکثر سرعت",
+      "recognized_license_plate": "پلاک شناسایی‌شده",
+      "has_clip": "دارای کلیپ",
+      "has_snapshot": "دارای عکس فوری"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "تاریخ 'قبل از' باید بعد از تاریخ 'بعد از' باشد.",
+        "afterDatebeEarlierBefore": "تاریخ 'بعد از' باید قبل از تاریخ 'قبل از' باشد.",
+        "minScoreMustBeLessOrEqualMaxScore": "'min_score' باید کمتر یا مساوی 'max_score' باشد.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "'max_score' باید بزرگ‌تر یا مساوی 'min_score' باشد.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "'min_speed' باید کمتر یا مساوی 'max_speed' باشد.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "'max_speed' باید بزرگ‌تر یا مساوی 'min_speed' باشد."
+      }
+    },
+    "searchType": {
+      "thumbnail": "پیش‌نمایش",
+      "description": "توضیحات"
+    },
+    "tips": {
+      "title": "نحوهٔ استفاده از فیلترهای متنی",
+      "desc": {
+        "text": "فیلترها به شما کمک می‌کنند نتایج جست‌وجوی خود را محدودتر کنید. در اینجا نحوهٔ استفاده از آن‌ها در فیلد ورودی آمده است:",
+        "step1": "نام کلید فیلتر را بنویسید و بعد از آن دونقطه بگذارید (مثلاً \"cameras:\").",
+        "step2": "از پیشنهادها یک مقدار را انتخاب کنید یا مقدار دلخواه خود را تایپ کنید.",
+        "step3": "برای استفاده از چند فیلتر، آن‌ها را یکی پس از دیگری با یک فاصله از هم اضافه کنید.",
+        "step4": "فیلترهای تاریخ (before: و after:) از قالب {{DateFormat}} استفاده می‌کنند.",
+        "step5": "فیلتر بازهٔ زمانی از قالب {{exampleTime}} استفاده می‌کند.",
+        "exampleLabel": "مثال:",
+        "step6": "فیلترها را با کلیک بر روی 'x' کنار آنها حذف کنید."
+      }
+    },
+    "header": {
+      "currentFilterType": "مقادیر فیلتر",
+      "noFilters": "فیلترها",
+      "activeFilters": "فیلترهای فعال"
+    }
+  },
+  "similaritySearch": {
+    "title": "جستجوی مشابهت",
+    "active": "جستجوی مشابهت فعال است",
+    "clear": "پاک کردن جستجوی مشابهت"
+  },
+  "placeholder": {
+    "search": "جستجو…"
+  }
 }
diff --git a/web/public/locales/fa/views/settings.json b/web/public/locales/fa/views/settings.json
index ea7753a5b..d2f7ce17b 100644
--- a/web/public/locales/fa/views/settings.json
+++ b/web/public/locales/fa/views/settings.json
@@ -2,6 +2,1068 @@
   "documentTitle": {
     "default": "تنظیمات - فریگیت",
     "authentication": "تنظیمات احراز هویت - فریگیت",
-    "camera": "تنظیمات دوربین - فریگیت"
+    "camera": "تنظیمات دوربین - فریگیت",
+    "cameraManagement": "مدیریت دوربین ها - فریگیت",
+    "cameraReview": "بازبینی تنظیمات دوربین - فریگیت",
+    "masksAndZones": "ویرایشگر ماسک و منطقه - فریگیت",
+    "enrichments": "تنظیمات غنی‌سازی‌ها - Frigate",
+    "motionTuner": "تنظیم‌کنندهٔ حرکت - Frigate",
+    "object": "اشکال‌زدایی - Frigate",
+    "general": "تنظیمات رابط کاربری - فریگیت",
+    "frigatePlus": "تنظیمات Frigate+ - Frigate",
+    "notifications": "تنظیمات اعلان‌ها - Frigate"
+  },
+  "menu": {
+    "ui": "رابط کاربری",
+    "enrichments": "غنی‌سازی‌ها",
+    "cameraManagement": "مدیریت",
+    "cameraReview": "بازبینی",
+    "masksAndZones": "ماسک‌ها / ناحیه‌ها",
+    "motionTuner": "تنظیم‌کنندهٔ حرکت",
+    "triggers": "محرک‌ها",
+    "debug": "اشکال‌زدایی",
+    "users": "کاربران",
+    "roles": "نقش‌ها",
+    "notifications": "اعلان‌ها",
+    "frigateplus": "فریگیت+"
+  },
+  "general": {
+    "title": "تنظیمات رابط کاربری",
+    "liveDashboard": {
+      "title": "داشبورد زنده",
+      "automaticLiveView": {
+        "label": "نمای زندهٔ خودکار",
+        "desc": "وقتی فعالیت تشخیص داده شود، به‌طور خودکار به نمای زندهٔ دوربین جابه‌جا شوید. غیرفعال کردن این گزینه باعث می‌شود تصاویر ثابت دوربین در داشبورد زنده فقط هر یک دقیقه یک‌بار به‌روزرسانی شوند."
+      },
+      "playAlertVideos": {
+        "label": "پخش ویدیوهای هشدار",
+        "desc": "به‌طور پیش‌فرض، هشدارهای اخیر در داشبورد زنده به‌صورت ویدیوهای کوچکِ حلقه‌ای پخش می‌شوند. این گزینه را غیرفعال کنید تا فقط یک تصویر ثابت از هشدارهای اخیر در این دستگاه/مرورگر نمایش داده شود."
+      },
+      "displayCameraNames": {
+        "label": "نمایش همیشهٔ نام دوربین‌ها",
+        "desc": "نام دوربین‌ها را همیشه به‌صورت یک برچسب در داشبورد نمای زندهٔ چند دوربینه نشان بده."
+      },
+      "liveFallbackTimeout": {
+        "label": "مهلت بازگشت پخش زنده",
+        "desc": "وقتی پخش زندهٔ باکیفیتِ دوربین در دسترس نیست، پس از این تعداد ثانیه به حالت کم‌پهنای‌باند برگردد. پیش‌فرض: ۳."
+      }
+    },
+    "storedLayouts": {
+      "title": "چیدمان‌های ذخیره‌شده",
+      "desc": "چیدمان دوربین‌ها در یک گروه دوربین قابل کشیدن و تغییر اندازه است. موقعیت‌ها در فضای ذخیره‌سازی محلی مرورگر شما ذخیره می‌شوند.",
+      "clearAll": "پاک کردن همهٔ چیدمان‌ها"
+    },
+    "cameraGroupStreaming": {
+      "title": "تنظیمات پخش گروه دوربین",
+      "desc": "تنظیمات پخش برای هر گروه دوربین در فضای ذخیره‌سازی محلی مرورگر شما ذخیره می‌شود.",
+      "clearAll": "پاک کردن همهٔ تنظیمات پخش"
+    },
+    "recordingsViewer": {
+      "title": "نمایشگر ضبط‌ها",
+      "defaultPlaybackRate": {
+        "label": "نرخ پخش پیش‌فرض",
+        "desc": "نرخ پخش پیش‌فرض برای پخش ضبط‌ها."
+      }
+    },
+    "calendar": {
+      "title": "تقویم",
+      "firstWeekday": {
+        "label": "اولین روز هفته",
+        "desc": "روزی که هفته‌های تقویمِ بازبینی از آن آغاز می‌شوند.",
+        "sunday": "یکشنبه",
+        "monday": "دوشنبه"
+      }
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "چیدمان ذخیره‌شده برای {{cameraName}} پاک شد",
+        "clearStreamingSettings": "تنظیمات پخش برای همهٔ گروه‌های دوربین پاک شد."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "پاک کردن چیدمان ذخیره‌شده ناموفق بود: {{errorMessage}}",
+        "clearStreamingSettingsFailed": "پاک کردن تنظیمات پخش ناموفق بود: {{errorMessage}}"
+      }
+    }
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "تغییرات ذخیره‌نشده دارید.",
+      "desc": "آیا می‌خواهید پیش از ادامه، تغییرات خود را ذخیره کنید؟"
+    }
+  },
+  "cameraSetting": {
+    "camera": "دوربین",
+    "noCamera": "بدون دوربین"
+  },
+  "enrichments": {
+    "unsavedChanges": "تغییرات ذخیره‌نشدهٔ تنظیمات غنی‌سازی",
+    "birdClassification": {
+      "desc": "طبقه‌بندی پرندگان با استفاده از یک مدل Tensorflow کوانتیزه‌شده، پرندگان شناخته‌شده را شناسایی می‌کند. وقتی یک پرندهٔ شناخته‌شده شناسایی شود، نام رایج آن به‌عنوان sub_label اضافه می‌شود. این اطلاعات در رابط کاربری، فیلترها و همچنین در اعلان‌ها گنجانده می‌شود.",
+      "title": "طبقه‌بندی پرندگان"
+    },
+    "semanticSearch": {
+      "desc": "جست‌وجوی معنایی در Frigate به شما اجازه می‌دهد اشیای ردیابی‌شده را در آیتم‌های بازبینی، با استفاده از خودِ تصویر، یک توضیح متنیِ تعریف‌شده توسط کاربر، یا یک توضیحِ تولیدشدهٔ خودکار پیدا کنید.",
+      "reindexNow": {
+        "confirmTitle": "تأیید بازنمایه‌سازی",
+        "confirmButton": "بازنمایه‌سازی",
+        "alreadyInProgress": "بازنمایه‌سازی از قبل در حال انجام است.",
+        "label": "بازنمایه‌سازی اکنون",
+        "desc": "بازنمایه‌سازی، امبدینگ‌ها را برای همهٔ اشیای ردیابی‌شده دوباره تولید می‌کند. این فرایند در پس‌زمینه اجرا می‌شود و بسته به تعداد اشیای ردیابی‌شده‌ای که دارید، ممکن است CPU شما را به سقف برساند و زمان قابل‌توجهی طول بکشد.",
+        "confirmDesc": "آیا مطمئن هستید که می‌خواهید همهٔ امبدینگ‌های اشیای ردیابی‌شده را بازنمایه‌سازی کنید؟ این فرایند در پس‌زمینه اجرا می‌شود، اما ممکن است CPU شما را به سقف برساند و زمان قابل‌توجهی طول بکشد. می‌توانید پیشرفت را در صفحهٔ Explore مشاهده کنید.",
+        "success": "بازنمایه‌سازی با موفقیت شروع شد.",
+        "error": "شروع بازنمایه‌سازی ناموفق بود: {{errorMessage}}"
+      },
+      "modelSize": {
+        "label": "اندازهٔ مدل",
+        "desc": "اندازهٔ مدلی که برای بردارهای جست‌وجوی معنایی استفاده می‌شود.",
+        "small": {
+          "desc": "استفاده از <em>small </em> از نسخهٔ کوانتیزهٔ مدل استفاده می‌کند که RAM کم‌تری مصرف می‌کند و روی CPU سریع‌تر اجرا می‌شود، با تفاوت بسیار ناچیز در کیفیت embedding.",
+          "title": "کوچک"
+        },
+        "large": {
+          "desc": "استفاده از <em>large </em> از مدل کامل Jina استفاده می‌کند و در صورت امکان به‌طور خودکار روی GPU اجرا می‌شود.",
+          "title": "بزرگ"
+        }
+      },
+      "title": "جستجوی معنایی"
+    },
+    "faceRecognition": {
+      "desc": "تشخیص چهره امکان می‌دهد برای افراد نام تعیین شود و وقتی چهرهٔ آن‌ها شناسایی شود، Frigate نام فرد را به‌عنوان زیر‌برچسب اختصاص می‌دهد. این اطلاعات در رابط کاربری، فیلترها و همچنین در اعلان‌ها گنجانده می‌شود.",
+      "modelSize": {
+        "label": "اندازهٔ مدل",
+        "small": {
+          "title": "کوچک",
+          "desc": "استفاده از <em>کوچک</em> یک مدل امبدینگ چهرهٔ FaceNet را به‌کار می‌گیرد که روی بیشتر CPUها به‌صورت بهینه اجرا می‌شود."
+        },
+        "large": {
+          "title": "بزرگ",
+          "desc": "استفاده از <em>large </em> از مدل embedding چهرهٔ ArcFace استفاده می‌کند و در صورت امکان به‌طور خودکار روی GPU اجرا می‌شود."
+        },
+        "desc": "اندازه مدل مورد استفاده برای تشخیص چهره."
+      },
+      "title": "شناسایی چهره"
+    },
+    "licensePlateRecognition": {
+      "desc": "Frigate می‌تواند پلاک خودروها را تشخیص دهد و نویسه‌های شناسایی‌شده را به‌طور خودکار به فیلد recognized_license_plate اضافه کند، یا یک نام شناخته‌شده را به‌عنوان sub_label به اشیایی که از نوع car هستند اضافه کند. یک کاربرد رایج می‌تواند خواندن پلاک خودروهایی باشد که وارد پارکینگ/حیاط می‌شوند یا خودروهایی که از خیابان عبور می‌کنند.",
+      "title": "شناسایی پلاک خودرو"
+    },
+    "toast": {
+      "success": "تنظیمات غنی‌سازی ذخیره شد. برای اعمال تغییرات، Frigate را دوباره راه‌اندازی کنید.",
+      "error": "ذخیرهٔ تغییرات پیکربندی ناموفق بود: {{errorMessage}}"
+    },
+    "title": "تنظیمات غنی‌سازی‌ها",
+    "restart_required": "نیاز به راه‌اندازی مجدد (تنظیمات غنی‌سازی‌ها تغییر کرد)"
+  },
+  "cameraWizard": {
+    "description": "برای افزودن یک دوربین جدید به نصب Frigate خود، مراحل زیر را دنبال کنید.",
+    "steps": {
+      "streamConfiguration": "پیکربندی استریم",
+      "nameAndConnection": "نام و اتصال",
+      "probeOrSnapshot": "پروب یا اسنپ‌شات",
+      "validationAndTesting": "اعتبارسنجی و آزمون"
+    },
+    "save": {
+      "success": "دوربین جدید {{cameraName}} با موفقیت ذخیره شد.",
+      "failure": "خطا در ذخیرهٔ {{cameraName}}."
+    },
+    "testResultLabels": {
+      "video": "ویدئو",
+      "audio": "صدا",
+      "fps": "FPS",
+      "resolution": "وضوح"
+    },
+    "commonErrors": {
+      "noUrl": "لطفاً یک URL معتبر برای استریم ارائه کنید",
+      "testFailed": "آزمون استریم ناموفق بود: {{error}}"
+    },
+    "step1": {
+      "cameraName": "نام دوربین",
+      "port": "پورت",
+      "password": "گذرواژه",
+      "cameraBrand": "برند دوربین",
+      "customUrl": "URL سفارشی استریم",
+      "brandInformation": "اطلاعات برند",
+      "customUrlPlaceholder": "rtsp://نام‌کاربری:رمز@سرور:پورت/مسیر",
+      "connectionSettings": "تنظیمات اتصال",
+      "probeMode": "پروبِ دوربین",
+      "onvifPortDescription": "برای دوربین‌هایی که از ONVIF پشتیبانی می‌کنند، معمولاً ۸۰ یا ۸۰۸۰ است.",
+      "useDigestAuth": "استفاده از احراز هویت Digest",
+      "description": "جزئیات دوربین خود را وارد کنید و انتخاب کنید دوربین بررسی شود یا برند را به‌صورت دستی انتخاب کنید.",
+      "cameraNamePlaceholder": "مثلاً front_door یا Back Yard Overview",
+      "host": "میزبان/آدرس IP",
+      "username": "نام کاربری",
+      "usernamePlaceholder": "اختیاری",
+      "passwordPlaceholder": "اختیاری",
+      "selectTransport": "انتخاب پروتکل انتقال",
+      "selectBrand": "برند دوربین را برای قالب URL انتخاب کنید",
+      "brandUrlFormat": "برای دوربین‌هایی با قالب URL ‏RTSP به‌شکل: {{exampleUrl}}",
+      "detectionMethod": "روش تشخیص جریان",
+      "onvifPort": "پورت ONVIF",
+      "manualMode": "انتخاب دستی",
+      "detectionMethodDescription": "دوربین را با ONVIF (در صورت پشتیبانی) بررسی کنید تا URLهای جریان دوربین پیدا شوند، یا برند دوربین را به‌صورت دستی انتخاب کنید تا از URLهای ازپیش‌تعریف‌شده استفاده شود. برای وارد کردن یک URL سفارشی RTSP، روش دستی را انتخاب کنید و «Other» را برگزینید.",
+      "useDigestAuthDescription": "برای ONVIF از احراز هویت Digest‏ HTTP استفاده کنید. برخی دوربین‌ها ممکن است به‌جای کاربر مدیر استاندارد، به یک نام‌کاربری/گذرواژهٔ اختصاصی ONVIF نیاز داشته باشند.",
+      "errors": {
+        "brandOrCustomUrlRequired": "یا یک برند دوربین را همراه با میزبان/آدرس IP انتخاب کنید یا «Other» را با یک URL سفارشی برگزینید",
+        "nameRequired": "نام دوربین الزامی است",
+        "nameLength": "نام دوربین باید ۶۴ کاراکتر یا کمتر باشد",
+        "invalidCharacters": "نام دوربین شامل نویسه‌های نامعتبر است",
+        "nameExists": "نام دوربین از قبل وجود دارد",
+        "customUrlRtspRequired": "URLهای سفارشی باید با «rtsp://» شروع شوند. برای جریان‌های دوربینِ غیر RTSP پیکربندی دستی لازم است."
+      }
+    },
+    "title": "افزودن دوربین",
+    "step2": {
+      "description": "دوربین را برای جریان‌های در دسترس بررسی کنید یا بر اساس روش تشخیصِ انتخاب‌شده، تنظیمات دستی را پیکربندی کنید.",
+      "testSuccess": "آزمون اتصال با موفقیت انجام شد!",
+      "testFailed": "آزمون اتصال ناموفق بود. لطفاً ورودی‌های خود را بررسی کنید و دوباره تلاش کنید.",
+      "testFailedTitle": "آزمون ناموفق",
+      "streamDetails": "جزئیات جریان",
+      "probing": "در حال بررسی دوربین…",
+      "retry": "تلاش مجدد",
+      "testing": {
+        "probingMetadata": "در حال بررسی فرادادهٔ دوربین…",
+        "fetchingSnapshot": "در حال دریافت عکس فوریِ دوربین…"
+      },
+      "probeFailed": "بررسی دوربین ناموفق بود: {{error}}",
+      "probingDevice": "در حال بررسی دستگاه…",
+      "probeSuccessful": "بررسی موفق",
+      "probeError": "خطای بررسی",
+      "probeNoSuccess": "بررسی ناموفق",
+      "deviceInfo": "اطلاعات دستگاه",
+      "manufacturer": "سازنده",
+      "model": "مدل",
+      "firmware": "فرم‌ور",
+      "profiles": "پروفایل‌ها",
+      "ptzSupport": "پشتیبانی PTZ",
+      "autotrackingSupport": "پشتیبانی از ردیابی خودکار",
+      "presets": "پیش‌تنظیم‌ها",
+      "rtspCandidates": "کاندیداهای RTSP",
+      "rtspCandidatesDescription": "URLهای RTSP زیر از بررسی دوربین به‌دست آمد. برای مشاهدهٔ فرادادهٔ جریان، اتصال را آزمایش کنید.",
+      "noRtspCandidates": "هیچ URL ‏RTSPای از دوربین پیدا نشد. ممکن است اطلاعات کاربری شما نادرست باشد، یا دوربین از ONVIF یا روشِ استفاده‌شده برای بازیابی URLهای RTSP پشتیبانی نکند. برگردید و URL ‏RTSP را به‌صورت دستی وارد کنید.",
+      "candidateStreamTitle": "کاندیدا {{number}}",
+      "useCandidate": "استفاده",
+      "uriCopy": "کپی",
+      "uriCopied": "نشانی URI در کلیپ‌بورد کپی شد",
+      "testConnection": "آزمون اتصال",
+      "toggleUriView": "برای تغییر به نمایش کامل URI کلیک کنید",
+      "connected": "متصل",
+      "notConnected": "متصل نیست",
+      "errors": {
+        "hostRequired": "میزبان/آدرس IP الزامی است"
+      }
+    },
+    "step3": {
+      "description": "نقش‌های جریان را پیکربندی کنید و برای دوربین خود جریان‌های بیشتری اضافه کنید.",
+      "streamsTitle": "جریان‌های دوربین",
+      "addStream": "افزودن جریان",
+      "addAnotherStream": "افزودن جریان دیگر",
+      "streamTitle": "جریان {{number}}",
+      "streamUrl": "نشانی جریان",
+      "streamUrlPlaceholder": "rtsp://نام‌کاربری:رمز@سرور:پورت/مسیر",
+      "selectStream": "یک جریان را انتخاب کنید",
+      "searchCandidates": "جستجوی گزینه‌ها…",
+      "noStreamFound": "هیچ جریانی پیدا نشد",
+      "url": "نشانی URL",
+      "resolution": "وضوح",
+      "selectResolution": "انتخاب وضوح",
+      "quality": "کیفیت",
+      "selectQuality": "انتخاب کیفیت",
+      "roles": "نقش‌ها",
+      "roleLabels": {
+        "detect": "تشخیص شیء",
+        "record": "ضبط",
+        "audio": "صدا"
+      },
+      "testStream": "آزمون اتصال",
+      "testSuccess": "آزمون جریان با موفقیت انجام شد!",
+      "testFailed": "آزمون جریان ناموفق بود",
+      "testFailedTitle": "آزمون ناموفق بود",
+      "connected": "متصل",
+      "notConnected": "متصل نیست",
+      "featuresTitle": "ویژگی‌ها",
+      "go2rtc": "کاهش تعداد اتصال‌ها به دوربین",
+      "detectRoleWarning": "برای ادامه، حداقل یک جریان باید نقش «detect» داشته باشد.",
+      "rolesPopover": {
+        "title": "نقش‌های جریان",
+        "detect": "فید اصلی برای تشخیص شیء.",
+        "record": "بر اساس تنظیمات پیکربندی، بخش‌هایی از فید ویدیو را ذخیره می‌کند.",
+        "audio": "فید برای تشخیص مبتنی بر صدا."
+      },
+      "featuresPopover": {
+        "title": "ویژگی‌های جریان",
+        "description": "برای کاهش تعداد اتصال‌ها به دوربین خود از بازپخش go2rtc استفاده کنید."
+      }
+    },
+    "step4": {
+      "validationTitle": "اعتبارسنجی جریان",
+      "connectAllStreams": "اتصال همهٔ جریان‌ها",
+      "reconnectionSuccess": "اتصال مجدد با موفقیت انجام شد.",
+      "reconnectionPartial": "اتصال مجدد برخی جریان‌ها ناموفق بود.",
+      "streamUnavailable": "پیش‌نمایش جریان در دسترس نیست",
+      "reload": "بارگذاری مجدد",
+      "streamTitle": "جریان {{number}}",
+      "valid": "معتبر",
+      "failed": "ناموفق",
+      "notTested": "آزمون نشده",
+      "connectStream": "اتصال",
+      "connectingStream": "در حال اتصال",
+      "disconnectStream": "قطع اتصال",
+      "estimatedBandwidth": "پهنای باند تخمینی",
+      "roles": "نقش‌ها",
+      "ffmpegModule": "استفاده از حالت سازگاری جریان",
+      "ffmpegModuleDescription": "اگر جریان پس از چند تلاش بارگذاری نشد، فعال‌کردن این گزینه را امتحان کنید. وقتی فعال باشد، Frigate از ماژول ffmpeg همراه با go2rtc استفاده می‌کند. این کار ممکن است با برخی جریان‌های دوربین سازگاری بهتری فراهم کند.",
+      "none": "هیچ‌کدام",
+      "error": "خطا",
+      "streamValidated": "اعتبارسنجی جریان {{number}} با موفقیت انجام شد",
+      "streamValidationFailed": "اعتبارسنجی جریان {{number}} ناموفق بود",
+      "saveAndApply": "ذخیرهٔ دوربین جدید",
+      "saveError": "پیکربندی نامعتبر است. لطفاً تنظیمات خود را بررسی کنید.",
+      "issues": {
+        "title": "اعتبارسنجی جریان",
+        "videoCodecGood": "کدک ویدیو {{codec}} است.",
+        "audioCodecGood": "کدک صدا {{codec}} است.",
+        "resolutionHigh": "وضوح {{resolution}} ممکن است باعث افزایش مصرف منابع شود.",
+        "resolutionLow": "وضوح {{resolution}} ممکن است برای تشخیص قابل‌اعتماد اشیای کوچک بیش از حد پایین باشد.",
+        "noAudioWarning": "برای این جریان صدایی شناسایی نشد؛ ضبط‌ها صدا نخواهند داشت.",
+        "audioCodecRecordError": "برای پشتیبانی از صدا در ضبط‌ها، کدک صوتی AAC لازم است.",
+        "audioCodecRequired": "برای پشتیبانی از تشخیص صدا، یک جریان صوتی لازم است.",
+        "restreamingWarning": "کاهش تعداد اتصال‌ها به دوربین برای جریان ضبط ممکن است کمی مصرف CPU را افزایش دهد.",
+        "brands": {
+          "reolink-rtsp": "RTSP در Reolink توصیه نمی‌شود. در تنظیمات میان‌افزار دوربین، HTTP را فعال کنید و جادوگر را دوباره اجرا کنید.",
+          "reolink-http": "جریان‌های HTTP در Reolink برای سازگاری بهتر باید از FFmpeg استفاده کنند. برای این جریان، «استفاده از حالت سازگاری جریان» را فعال کنید."
+        },
+        "dahua": {
+          "substreamWarning": "زیرجریان ۱ روی وضوح پایین قفل شده است. بسیاری از دوربین‌های Dahua / Amcrest / EmpireTech از زیرجریان‌های اضافی پشتیبانی می‌کنند که باید در تنظیمات دوربین فعال شوند. توصیه می‌شود در صورت وجود، آن جریان‌ها را بررسی کرده و استفاده کنید."
+        },
+        "hikvision": {
+          "substreamWarning": "زیرجریان ۱ روی وضوح پایین قفل شده است. بسیاری از دوربین‌های Hikvision از زیرجریان‌های اضافی پشتیبانی می‌کنند که باید در تنظیمات دوربین فعال شوند. توصیه می‌شود در صورت وجود، آن جریان‌ها را بررسی کرده و استفاده کنید."
+        }
+      },
+      "connecting": "در حال اتصال...",
+      "description": "پیش از ذخیره کردن دوربین جدیدتان، اعتبارسنجی و تحلیل نهایی انجام می‌شود. پیش از ذخیره، هر استریم را متصل کنید."
+    }
+  },
+  "cameraManagement": {
+    "title": "مدیریت دوربین‌ها",
+    "addCamera": "افزودن دوربین جدید",
+    "selectCamera": "یک دوربین را انتخاب کنید",
+    "backToSettings": "بازگشت به تنظیمات دوربین",
+    "streams": {
+      "title": "فعال‌سازی / غیرفعال‌سازی دوربین‌ها",
+      "desc": "یک دوربین را تا زمانی که Frigate دوباره راه‌اندازی شود، موقتاً غیرفعال کنید. غیرفعال‌کردن یک دوربین باعث می‌شود پردازش جریان‌های این دوربین توسط Frigate کاملاً متوقف شود. تشخیص، ضبط و اشکال‌زدایی در دسترس نخواهد بود.<br /><em>نکته: این کار بازپخش‌های go2rtc را غیرفعال نمی‌کند.</em>"
+    },
+    "cameraConfig": {
+      "add": "افزودن دوربین",
+      "edit": "ویرایش دوربین",
+      "description": "تنظیمات دوربین از جمله ورودی‌های جریان و نقش‌ها را پیکربندی کنید.",
+      "name": "نام دوربین",
+      "nameLength": "نام دوربین باید کمتر از ۶۴ کاراکتر باشد.",
+      "nameRequired": "نام دوربین الزامی است",
+      "namePlaceholder": "مثلاً front_door یا Back Yard Overview",
+      "enabled": "فعال",
+      "ffmpeg": {
+        "inputs": "جریان‌های ورودی",
+        "path": "مسیر جریان",
+        "pathRequired": "مسیر جریان الزامی است",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "نقش‌ها",
+        "rolesRequired": "حداقل یک نقش لازم است",
+        "rolesUnique": "هر نقش (audio، detect، record) فقط می‌تواند به یک جریان اختصاص داده شود",
+        "addInput": "افزودن جریان ورودی",
+        "removeInput": "حذف جریان ورودی",
+        "inputsRequired": "حداقل یک جریان ورودی لازم است"
+      },
+      "go2rtcStreams": "جریان‌های go2rtc",
+      "streamUrls": "نشانی‌های جریان",
+      "addGo2rtcStream": "افزودن جریان go2rtc",
+      "toast": {
+        "success": "دوربین {{cameraName}} با موفقیت ذخیره شد"
+      },
+      "addUrl": "افزودن نشانی"
+    },
+    "editCamera": "ویرایش دوربین:"
+  },
+  "cameraReview": {
+    "title": "تنظیمات بازبینی دوربین",
+    "object_descriptions": {
+      "title": "توضیحات شیء با هوش مصنوعی مولد",
+      "desc": "موقتاً توضیحات اشیای هوش مصنوعی مولد را برای این دوربین فعال/غیرفعال کنید. وقتی غیرفعال باشد، برای اشیای ردیابی‌شده در این دوربین، توضیحات تولیدشده با هوش مصنوعی درخواست نخواهد شد."
+    },
+    "reviewClassification": {
+      "title": "طبقه‌بندی بازبینی",
+      "desc": "Frigate موارد بازبینی را به‌عنوان اعلان‌ها و تشخیص‌ها دسته‌بندی می‌کند. به‌طور پیش‌فرض، همهٔ اشیای <em>person </em> و <em>car </em> به‌عنوان اعلان در نظر گرفته می‌شوند. می‌توانید با پیکربندی نواحی لازم برای آن‌ها، طبقه‌بندی موارد بازبینی خود را دقیق‌تر کنید.",
+      "noDefinedZones": "هیچ ناحیه‌ای برای این دوربین تعریف نشده است.",
+      "objectAlertsTips": "همهٔ اشیای {{alertsLabels}} در {{cameraName}} به‌صورت اعلان نمایش داده می‌شوند.",
+      "zoneObjectAlertsTips": "همهٔ اشیای {{alertsLabels}} که در {{zone}} روی {{cameraName}} تشخیص داده می‌شوند، به‌صورت اعلان نمایش داده خواهند شد.",
+      "selectAlertsZones": "ناحیه‌ها را برای اعلان‌ها انتخاب کنید",
+      "selectDetectionsZones": "ناحیه‌ها را برای تشخیص‌ها انتخاب کنید",
+      "limitDetections": "تشخیص‌ها را به نواحی مشخص محدود کنید",
+      "toast": {
+        "success": "پیکربندی طبقه‌بندی بازبینی ذخیره شد. برای اعمال تغییرات، Frigate را راه‌اندازی مجدد کنید."
+      },
+      "objectDetectionsTips": "همهٔ اشیای {{detectionsLabels}} که در {{cameraName}} دسته‌بندی نشده‌اند، صرف‌نظر از اینکه در کدام ناحیه هستند، به‌صورت «تشخیص‌ها» نمایش داده می‌شوند.",
+      "zoneObjectDetectionsTips": {
+        "text": "همهٔ اشیای {{detectionsLabels}} که در {{zone}} برای {{cameraName}} دسته‌بندی نشده‌اند، به‌صورت «تشخیص‌ها» نمایش داده می‌شوند.",
+        "notSelectDetections": "همهٔ اشیای {{detectionsLabels}} که در {{zone}} روی {{cameraName}} شناسایی شده‌اند و به‌عنوان «هشدار» دسته‌بندی نشده‌اند، صرف‌نظر از اینکه در کدام ناحیه هستند، به‌صورت «تشخیص‌ها» نمایش داده می‌شوند.",
+        "regardlessOfZoneObjectDetectionsTips": "همهٔ اشیای {{detectionsLabels}} که در {{cameraName}} دسته‌بندی نشده‌اند، بدون توجه به این‌که در کدام ناحیه هستند، به‌صورت «تشخیص‌ها» نمایش داده خواهند شد."
+      },
+      "unsavedChanges": "تنظیمات ذخیره‌نشدهٔ طبقه‌بندی بازبینی برای {{camera}}"
+    },
+    "review_descriptions": {
+      "title": "توضیحات بازبینیِ هوش مصنوعی مولد",
+      "desc": "توضیحات بازبینیِ هوش مصنوعی مولد را برای این دوربین به‌طور موقت فعال/غیرفعال کنید. وقتی غیرفعال باشد، برای موارد بازبینی این دوربین، توضیحات تولیدشده توسط هوش مصنوعی درخواست نخواهد شد."
+    },
+    "review": {
+      "title": "بازبینی",
+      "desc": "هشدارها و تشخیص‌ها را برای این دوربین تا زمان راه‌اندازی مجدد Frigate به‌طور موقت فعال/غیرفعال کنید. وقتی غیرفعال باشد، هیچ مورد بازبینی جدیدی ایجاد نخواهد شد. ",
+      "alerts": "هشدارها ",
+      "detections": "تشخیص‌ها "
+    }
+  },
+  "masksAndZones": {
+    "filter": {
+      "all": "همهٔ ماسک‌ها و ناحیه‌ها"
+    },
+    "form": {
+      "zoneName": {
+        "error": {
+          "mustNotBeSameWithCamera": "نام ناحیه نباید با نام دوربین یکسان باشد.",
+          "alreadyExists": "ناحیه‌ای با این نام از قبل برای این دوربین وجود دارد.",
+          "mustNotContainPeriod": "نام ناحیه نباید شامل نقطه باشد.",
+          "hasIllegalCharacter": "نام ناحیه شامل نویسه‌های غیرمجاز است.",
+          "mustHaveAtLeastOneLetter": "نام ناحیه باید حداقل یک حرف داشته باشد.",
+          "mustBeAtLeastTwoCharacters": "نام ناحیه باید حداقل ۲ کاراکتر باشد."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "فاصله باید بزرگ‌تر یا مساوی 0.1 باشد.",
+          "mustBeFilled": "همهٔ فیلدهای فاصله باید پر شوند تا بتوان از تخمین سرعت استفاده کرد."
+        }
+      },
+      "polygonDrawing": {
+        "reset": {
+          "label": "پاک کردن همهٔ نقاط"
+        },
+        "snapPoints": {
+          "true": "چسباندن به نقاط",
+          "false": "چسباندن به نقاط انجام نشود"
+        },
+        "delete": {
+          "title": "تأیید حذف",
+          "desc": "آیا مطمئن هستید که می‌خواهید {{type}} <em> {{name}} </em> را حذف کنید؟",
+          "success": "{{name}} حذف شد."
+        },
+        "removeLastPoint": "حذف آخرین نقطه",
+        "error": {
+          "mustBeFinished": "رسم چندضلعی باید قبل از ذخیره کامل شود."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "لختی باید بیشتر از ۰ باشد."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "زمان توقف باید بیشتر از یا مساوی ۰ باشد."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "آستانهٔ سرعت باید بیشتر از یا مساوی ۰.۱ باشد."
+        }
+      }
+    },
+    "zones": {
+      "add": "افزودن ناحیه",
+      "edit": "ویرایش ناحیه",
+      "point_one": "{{count}} نقطه",
+      "point_other": "{{count}} نقطه",
+      "clickDrawPolygon": "برای رسم یک چندضلعی روی تصویر کلیک کنید.",
+      "loiteringTime": {
+        "desc": "یک حداقل زمان (به ثانیه) تعیین می‌کند که شیء باید در ناحیه باشد تا فعال شود. <em>پیش‌فرض: 0 </em>",
+        "title": "زمان توقف"
+      },
+      "objects": {
+        "title": "اشیا",
+        "desc": "فهرست اشیایی که برای این ناحیه اعمال می‌شوند."
+      },
+      "allObjects": "همهٔ اشیا",
+      "speedEstimation": {
+        "title": "تخمین سرعت",
+        "desc": "فعال‌سازی تخمین سرعت برای اشیا در این ناحیه. ناحیه باید دقیقاً ۴ نقطه داشته باشد.",
+        "lineADistance": "فاصلهٔ خط A ( {{unit}})",
+        "lineBDistance": "فاصلهٔ خط B ( {{unit}})",
+        "lineCDistance": "فاصلهٔ خط C ( {{unit}})",
+        "lineDDistance": "فاصلهٔ خط D ( {{unit}})"
+      },
+      "speedThreshold": {
+        "title": "آستانهٔ سرعت ( {{unit}})",
+        "desc": "حداقل سرعتی را مشخص می‌کند تا اشیا در این ناحیه در نظر گرفته شوند.",
+        "toast": {
+          "error": {
+            "pointLengthError": "تخمین سرعت برای این ناحیه غیرفعال شد. ناحیه‌هایی که تخمین سرعت دارند باید دقیقاً ۴ نقطه داشته باشند.",
+            "loiteringTimeError": "ناحیه‌هایی با زمان پرسه‌زنیِ بیشتر از ۰ نباید با تخمین سرعت استفاده شوند."
+          }
+        }
+      },
+      "toast": {
+        "success": "ناحیه ( {{zoneName}}) ذخیره شد."
+      },
+      "label": "ناحیه‌ها",
+      "documentTitle": "ویرایش ناحیه - Frigate",
+      "desc": {
+        "title": "ناحیه‌ها به شما امکان تعریف یک ناحیهٔ مشخص از فریم را می‌دهند تا بتوانید تعیین کنید که آیا یک شیء در یک ناحیهٔ خاص قرار دارد یا خیر.",
+        "documentation": "مستندات"
+      },
+      "name": {
+        "title": "نام",
+        "inputPlaceHolder": "یک نام وارد کنید…",
+        "tips": "نام باید حداقل ۲ کاراکتر باشد، باید حداقل یک حرف داشته باشد، و نباید نام یک دوربین یا ناحیهٔ دیگری در این دوربین باشد."
+      },
+      "inertia": {
+        "title": "لختی",
+        "desc": "تعداد فریم‌هایی را مشخص می‌کند که یک شیء باید در یک ناحیه باشد تا در آن ناحیه محسوب شود. <em>پیش‌فرض: ۳</em>"
+      }
+    },
+    "motionMasks": {
+      "label": "ماسک حرکت",
+      "context": {
+        "title": "ماسک‌های حرکت برای جلوگیری از این‌که انواع ناخواستهٔ حرکت باعث فعال‌شدن تشخیص شوند استفاده می‌شوند (مثلاً شاخه‌های درخت، مهر زمانیِ دوربین). ماسک‌های حرکت باید <em>با نهایت صرفه‌جویی </em> استفاده شوند؛ ماسک‌گذاریِ بیش‌ازحد باعث می‌شود ردیابی اشیا دشوارتر شود."
+      },
+      "point_one": "{{count}} نقطه",
+      "point_other": "{{count}} نقطه",
+      "clickDrawPolygon": "برای رسم یک چندضلعی روی تصویر کلیک کنید.",
+      "polygonAreaTooLarge": {
+        "title": "ماسک حرکت {{polygonArea}}٪ از قاب دوربین را پوشش می‌دهد. ماسک‌های حرکتِ بزرگ توصیه نمی‌شوند.",
+        "tips": "ماسک‌های حرکت مانعِ تشخیص اشیا نمی‌شوند. به‌جای آن باید از «ناحیهٔ الزامی» استفاده کنید."
+      },
+      "add": "ماسک حرکت جدید",
+      "edit": "ویرایش ماسک حرکت",
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} ذخیره شد.",
+          "noName": "ماسک حرکت ذخیره شد."
+        }
+      },
+      "documentTitle": "ویرایش ماسک حرکت - Frigate",
+      "desc": {
+        "title": "ماسک‌های حرکت برای جلوگیری از فعال‌سازی تشخیص توسط انواع ناخواستهٔ حرکت استفاده می‌شوند. ماسک‌گذاری بیش‌ازحد ردیابی اشیا را دشوارتر می‌کند.",
+        "documentation": "مستندات"
+      }
+    },
+    "objectMasks": {
+      "desc": {
+        "documentation": "مستندات",
+        "title": "ماسک‌های فیلترِ اشیا برای فیلتر کردن مثبت‌های کاذبِ یک نوع شیء مشخص بر اساس موقعیت استفاده می‌شوند."
+      },
+      "add": "افزودن ماسک شیء",
+      "edit": "ویرایش ماسک شیء",
+      "context": "ماسک‌های فیلترِ شیء برای فیلتر کردن مثبت‌های کاذب برای یک نوع شیء مشخص بر اساس موقعیت استفاده می‌شوند.",
+      "point_one": "{{count}} نقطه",
+      "point_other": "{{count}} نقطه",
+      "clickDrawPolygon": "برای رسم یک چندضلعی روی تصویر کلیک کنید.",
+      "toast": {
+        "success": {
+          "noName": "ماسک شیء ذخیره شد.",
+          "title": "{{polygonName}} ذخیره شد."
+        }
+      },
+      "label": "ماسک‌های شیء",
+      "documentTitle": "ویرایش ماسک شیء - Frigate",
+      "objects": {
+        "title": "اشیا",
+        "desc": "نوع شیئی که به این ماسک شیء مربوط می‌شود.",
+        "allObjectTypes": "همهٔ انواع شیء"
+      }
+    },
+    "restart_required": "نیاز به راه‌اندازی مجدد (ماسک‌ها/ناحیه‌ها تغییر کرده‌اند)",
+    "toast": {
+      "success": {
+        "copyCoordinates": "مختصات {{polyName}} در کلیپ‌بورد کپی شد."
+      },
+      "error": {
+        "copyCoordinatesFailed": "امکان کپی کردن مختصات در کلیپ‌بورد نبود."
+      }
+    },
+    "motionMaskLabel": "ماسک حرکت {{number}}",
+    "objectMaskLabel": "ماسک شیء {{number}} ( {{label}})"
+  },
+  "motionDetectionTuner": {
+    "title": "تنظیم‌گر تشخیص حرکت",
+    "unsavedChanges": "تغییرات ذخیره‌نشدهٔ تنظیم‌گر تشخیص حرکت ( {{camera}})",
+    "desc": {
+      "title": "Frigate از تشخیص حرکت به‌عنوان نخستین بررسی استفاده می‌کند تا ببیند آیا در قاب چیزی رخ می‌دهد که ارزش بررسی با تشخیص شیء را داشته باشد یا نه.",
+      "documentation": "راهنمای تنظیم تشخیص حرکت را بخوانید"
+    },
+    "improveContrast": {
+      "desc": "بهبود کنتراست برای صحنه‌های تاریک‌تر. <em>پیش‌فرض: روشن </em>",
+      "title": "بهبود کنتراست"
+    },
+    "toast": {
+      "success": "تنظیمات حرکت ذخیره شد."
+    },
+    "Threshold": {
+      "title": "آستانه",
+      "desc": "مقدار آستانه تعیین می‌کند برای اینکه تغییر روشناییِ یک پیکسل «حرکت» محسوب شود، چه میزان تغییر لازم است. <em>پیش‌فرض: 30</em>"
+    },
+    "contourArea": {
+      "title": "مساحت کانتور",
+      "desc": "مقدار مساحت کانتور برای تعیین اینکه کدام گروه‌های پیکسل‌های تغییر‌یافته به‌عنوان حرکت محسوب می‌شوند استفاده می‌شود. <em>پیش‌فرض: ۱۰</em>"
+    }
+  },
+  "debug": {
+    "title": "اشکال‌زدایی",
+    "detectorDesc": "Frigate از آشکارسازهای شما ( {{detectors}}) برای تشخیص اشیا در جریان ویدیوی دوربین شما استفاده می‌کند.",
+    "desc": "نمای اشکال‌زدایی، نمایی بلادرنگ از اشیای ردیابی‌شده و آمار آن‌ها را نشان می‌دهد. فهرست اشیا یک خلاصهٔ با تأخیر زمانی از اشیای تشخیص‌داده‌شده را نمایش می‌دهد.",
+    "audio": {
+      "score": "امتیاز",
+      "currentRMS": "RMS فعلی",
+      "currentdbFS": "dbFS فعلی",
+      "title": "صدا",
+      "noAudioDetections": "هیچ تشخیص صدایی وجود ندارد"
+    },
+    "boundingBoxes": {
+      "title": "کادرهای محدوده",
+      "desc": "نمایش جعبه‌های مرزی دور اشیای ردیابی‌شده",
+      "colors": {
+        "label": "رنگ‌های جعبهٔ مرزی شیء",
+        "info": "<li>در زمان راه‌اندازی، رنگ‌های مختلف به هر برچسب شیء اختصاص داده می‌شود</li> <li>یک خط نازک آبی تیره نشان می‌دهد که شیء در این لحظه تشخیص داده نشده است</li> <li>یک خط نازک خاکستری نشان می‌دهد که شیء به‌عنوان ساکن تشخیص داده شده است</li> <li>یک خط ضخیم نشان می‌دهد که شیء موضوع ردیابی خودکار است (وقتی فعال باشد)</li>"
+      }
+    },
+    "zones": {
+      "desc": "یک طرح کلی از هر ناحیهٔ تعریف‌شده را نمایش می‌دهد",
+      "title": "ناحیه‌ها"
+    },
+    "mask": {
+      "title": "ماسک‌های حرکت",
+      "desc": "چندضلعی‌های ماسک حرکت را نشان می‌دهد"
+    },
+    "motion": {
+      "title": "کادرهای حرکت",
+      "desc": "کادرهایی را پیرامون نواحی‌ای که در آن‌ها حرکت تشخیص داده می‌شود نشان می‌دهد",
+      "tips": "<p><strong>جعبه‌های حرکت</strong></p><br><p>جعبه‌های قرمز روی نواحی فریمی که در حال حاضر حرکت در آن‌ها تشخیص داده می‌شود نمایش داده می‌شوند</p>"
+    },
+    "paths": {
+      "desc": "نقاط مهم مسیر شیء ردیابی‌شده را نشان می‌دهد",
+      "tips": "<p><strong>مسیرها</strong></p><br><p>خط‌ها و دایره‌ها نقاط مهمی را که شیء ردیابی‌شده در طول چرخهٔ عمر خود طی کرده است نشان می‌دهند.</p>",
+      "title": "مسیرها"
+    },
+    "objectShapeFilterDrawing": {
+      "title": "رسم فیلتر شکل شیء",
+      "desc": "برای مشاهدهٔ جزئیات مساحت و نسبت، روی تصویر یک مستطیل رسم کنید",
+      "tips": "این گزینه را فعال کنید تا بتوانید روی تصویر دوربین یک مستطیل رسم کنید و مساحت و نسبت آن را ببینید. سپس می‌توان از این مقادیر برای تنظیم پارامترهای فیلتر شکل شیء در پیکربندی شما استفاده کرد.",
+      "score": "امتیاز",
+      "ratio": "نسبت",
+      "area": "مساحت"
+    },
+    "openCameraWebUI": "رابط وبِ {{camera}} را باز کنید",
+    "debugging": "انجام اشکال‌زدایی",
+    "objectList": "فهرست اشیا",
+    "noObjects": "هیچ شیئی وجود ندارد",
+    "timestamp": {
+      "title": "مهر زمان",
+      "desc": "نمایش مهر زمان روی تصویر"
+    },
+    "regions": {
+      "title": "مناطق",
+      "desc": "نمایش جعبهٔ ناحیهٔ مورد علاقهٔ ارسال‌شده به تشخیص‌دهندهٔ شیء",
+      "tips": "<p><strong>جعبه‌های ناحیه</strong></p><br><p>جعبه‌های سبز روشن روی نواحی مورد علاقه در فریم که به تشخیص‌دهندهٔ شیء ارسال می‌شوند نمایش داده می‌شوند.</p>"
+    }
+  },
+  "users": {
+    "management": {
+      "desc": "حساب‌های کاربری این نمونهٔ Frigate را مدیریت کنید.",
+      "title": "مدیریت کاربران"
+    },
+    "addUser": "افزودن کاربر",
+    "updatePassword": "بازنشانی گذرواژه",
+    "toast": {
+      "success": {
+        "createUser": "کاربر {{user}} با موفقیت ایجاد شد",
+        "deleteUser": "کاربر {{user}} با موفقیت حذف شد",
+        "updatePassword": "گذرواژه با موفقیت به‌روزرسانی شد.",
+        "roleUpdated": "نقش برای {{user}} به‌روزرسانی شد"
+      },
+      "error": {
+        "setPasswordFailed": "ذخیرهٔ گذرواژه ناموفق بود: {{errorMessage}}",
+        "createUserFailed": "ایجاد کاربر ناموفق بود: {{errorMessage}}",
+        "deleteUserFailed": "حذف کاربر ناموفق بود: {{errorMessage}}",
+        "roleUpdateFailed": "به‌روزرسانی نقش ناموفق بود: {{errorMessage}}"
+      }
+    },
+    "table": {
+      "changeRole": "تغییر نقش کاربر",
+      "password": "بازنشانی گذرواژه",
+      "deleteUser": "حذف کاربر",
+      "username": "نام کاربری",
+      "actions": "اقدامات",
+      "role": "نقش",
+      "noUsers": "هیچ کاربری یافت نشد."
+    },
+    "dialog": {
+      "form": {
+        "user": {
+          "title": "نام کاربری",
+          "desc": "فقط حروف، اعداد، نقطه و زیرخط مجاز هستند.",
+          "placeholder": "نام کاربری را وارد کنید"
+        },
+        "password": {
+          "confirm": {
+            "title": "تأیید گذرواژه",
+            "placeholder": "تأیید گذرواژه"
+          },
+          "strength": {
+            "title": "قدرت گذرواژه: · ",
+            "weak": "ضعیف",
+            "medium": "متوسط",
+            "strong": "قوی",
+            "veryStrong": "خیلی قوی"
+          },
+          "requirements": {
+            "digit": "حداقل یک رقم",
+            "special": "حداقل یک نویسهٔ ویژه (!@#$%^&*(),.?\":{}|<>)",
+            "title": "الزامات رمز عبور:",
+            "length": "حداقل ۸ کاراکتر",
+            "uppercase": "حداقل یک حرف بزرگ"
+          },
+          "match": "گذرواژه‌ها مطابقت دارند",
+          "notMatch": "گذرواژه‌ها مطابقت ندارند",
+          "show": "نمایش رمز عبور",
+          "hide": "پنهان کردن رمز عبور",
+          "title": "رمز عبور",
+          "placeholder": "رمز عبور را وارد کنید"
+        },
+        "newPassword": {
+          "title": "گذرواژهٔ جدید",
+          "confirm": {
+            "placeholder": "رمز عبور جدید را دوباره وارد کنید"
+          },
+          "placeholder": "رمز عبور جدید را وارد کنید"
+        },
+        "passwordIsRequired": "گذرواژه الزامی است",
+        "currentPassword": {
+          "title": "رمز عبور فعلی",
+          "placeholder": "رمز عبور فعلی خود را وارد کنید"
+        },
+        "usernameIsRequired": "نام کاربری الزامی است"
+      },
+      "createUser": {
+        "title": "ایجاد کاربر جدید",
+        "desc": "یک حساب کاربری جدید اضافه کنید و یک نقش برای دسترسی به بخش‌های رابط کاربری Frigate تعیین کنید.",
+        "usernameOnlyInclude": "نام کاربری فقط می‌تواند شامل حروف، اعداد، . یا _ باشد",
+        "confirmPassword": "لطفاً گذرواژهٔ خود را تأیید کنید"
+      },
+      "passwordSetting": {
+        "currentPasswordRequired": "گذرواژهٔ فعلی الزامی است",
+        "incorrectCurrentPassword": "گذرواژهٔ فعلی نادرست است",
+        "passwordVerificationFailed": "اعتبارسنجی گذرواژه ناموفق بود",
+        "updatePassword": "به‌روزرسانی گذرواژه برای {{username}}",
+        "setPassword": "تنظیم گذرواژه",
+        "desc": "برای ایمن‌سازی این حساب، یک گذرواژهٔ قوی بسازید.",
+        "doNotMatch": "رمزهای عبور مطابقت ندارند",
+        "multiDeviceWarning": "هر دستگاه دیگری که در آن وارد شده‌اید باید ظرف {{refresh_time}} دوباره وارد شود.",
+        "multiDeviceAdmin": "همچنین می‌توانید با چرخش رمز JWT خود، همهٔ کاربران را فوراً مجبور به احراز هویت مجدد کنید.",
+        "cannotBeEmpty": "رمز عبور نمی‌تواند خالی باشد"
+      },
+      "changeRole": {
+        "desc": "به‌روزرسانی مجوزها برای <strong> {{username}} </strong>",
+        "roleInfo": {
+          "intro": "نقش مناسب برای این کاربر را انتخاب کنید:",
+          "admin": "مدیر",
+          "adminDesc": "دسترسی کامل به همهٔ قابلیت‌ها.",
+          "viewer": "بیننده",
+          "customDesc": "نقش سفارشی با دسترسی مشخص به دوربین.",
+          "viewerDesc": "محدود به داشبوردهای زنده، بررسی، کاوش و خروجی‌گیری فقط."
+        },
+        "title": "تغییر نقش کاربر",
+        "select": "یک نقش انتخاب کنید"
+      },
+      "deleteUser": {
+        "title": "حذف کاربر",
+        "desc": "این عمل قابل بازگشت نیست. این کار حساب کاربری را به‌طور دائم حذف می‌کند و همهٔ داده‌های مرتبط را حذف می‌کند.",
+        "warn": "آیا مطمئن هستید که می‌خواهید <strong> {{username}} </strong> را حذف کنید؟"
+      }
+    },
+    "title": "کاربران"
+  },
+  "roles": {
+    "table": {
+      "role": "نقش",
+      "cameras": "دوربین‌ها",
+      "actions": "اقدام‌ها",
+      "noRoles": "هیچ نقش سفارشی‌ای یافت نشد.",
+      "editCameras": "ویرایش دوربین‌ها",
+      "deleteRole": "حذف نقش"
+    },
+    "toast": {
+      "success": {
+        "createRole": "نقش {{role}} با موفقیت ایجاد شد",
+        "updateCameras": "دوربین‌ها برای نقش {{role}} به‌روزرسانی شدند",
+        "deleteRole": "نقش {{role}} با موفقیت حذف شد",
+        "userRolesUpdated_one": "{{count}} کاربری که به این نقش اختصاص داده شده بود به «بیننده» تغییر یافت و اکنون به همهٔ دوربین‌ها دسترسی دارد.",
+        "userRolesUpdated_other": "{{count}} کاربری که به این نقش اختصاص داده شده بودند به «بیننده» تغییر یافتند و اکنون به همهٔ دوربین‌ها دسترسی دارند."
+      },
+      "error": {
+        "createRoleFailed": "ایجاد نقش ناموفق بود: {{errorMessage}}",
+        "updateCamerasFailed": "به‌روزرسانی دوربین‌ها ناموفق بود: {{errorMessage}}",
+        "deleteRoleFailed": "حذف نقش ناموفق بود: {{errorMessage}}",
+        "userUpdateFailed": "به‌روزرسانی نقش‌های کاربر ناموفق بود: {{errorMessage}}"
+      }
+    },
+    "dialog": {
+      "createRole": {
+        "title": "ایجاد نقش جدید",
+        "desc": "یک نقش جدید اضافه کنید و سطح دسترسی به دوربین‌ها را تعیین کنید."
+      },
+      "form": {
+        "role": {
+          "roleExists": "نقشی با این نام از قبل وجود دارد.",
+          "placeholder": "نام نقش را وارد کنید",
+          "desc": "فقط حروف، اعداد، نقطه و زیرخط مجاز است.",
+          "roleIsRequired": "نام نقش الزامی است",
+          "roleOnlyInclude": "نام نقش فقط می‌تواند شامل حروف، اعداد، . یا _ باشد",
+          "title": "نام نقش"
+        },
+        "cameras": {
+          "title": "دوربین‌ها",
+          "desc": "دوربین‌هایی را که این نقش به آن‌ها دسترسی دارد انتخاب کنید. حداقل یک دوربین لازم است.",
+          "required": "حداقل باید یک دوربین انتخاب شود."
+        }
+      },
+      "editCameras": {
+        "title": "ویرایش دوربین‌های نقش",
+        "desc": "به‌روزرسانی دسترسی به دوربین برای نقش <strong> {{role}} </strong>."
+      },
+      "deleteRole": {
+        "title": "حذف نقش",
+        "desc": "این عمل قابل بازگشت نیست. این کار نقش را به‌طور دائم حذف می‌کند و همهٔ کاربرانی که این نقش را دارند به نقش 'بیننده' اختصاص می‌دهد که دسترسی بیننده به همهٔ دوربین‌ها را می‌دهد.",
+        "warn": "آیا مطمئن هستید که می‌خواهید <strong> {{role}} </strong> را حذف کنید؟",
+        "deleting": "در حال حذف…"
+      }
+    },
+    "management": {
+      "title": "مدیریت نقش بیننده",
+      "desc": "مدیریت نقش‌های بینندهٔ سفارشی و مجوزهای دسترسی به دوربین آن‌ها برای این نمونهٔ Frigate."
+    },
+    "addRole": "افزودن نقش"
+  },
+  "notification": {
+    "title": "اعلان‌ها",
+    "notificationSettings": {
+      "title": "تنظیمات اعلان‌ها",
+      "desc": "Frigate می‌تواند به‌صورت بومی وقتی در مرورگر اجرا می‌شود یا به‌عنوان PWA نصب شده است، اعلان‌های پوش را به دستگاه شما ارسال کند."
+    },
+    "notificationUnavailable": {
+      "title": "اعلان‌ها در دسترس نیستند",
+      "desc": "اعلان‌های پوش وب نیاز به یک بستر امن دارند ( <code>https://… </code>). این محدودیت مرورگر است. برای استفاده از اعلان‌ها، به‌صورت امن به Frigate دسترسی پیدا کنید."
+    },
+    "globalSettings": {
+      "title": "تنظیمات عمومی",
+      "desc": "به‌طور موقت اعلان‌ها را برای دوربین‌های مشخص در همهٔ دستگاه‌های ثبت‌شده متوقف کنید."
+    },
+    "sendTestNotification": "ارسال اعلان آزمایشی",
+    "unsavedRegistrations": "ثبت‌نام‌های اعلان ذخیره‌نشده",
+    "unsavedChanges": "تغییرات اعلان ذخیره‌نشده",
+    "active": "اعلان‌ها فعال هستند",
+    "suspended": "اعلان‌ها تعلیق شده‌اند {{time}}",
+    "suspendTime": {
+      "suspend": "تعلیق",
+      "5minutes": "تعلیق به مدت ۵ دقیقه",
+      "10minutes": "تعلیق به مدت ۱۰ دقیقه",
+      "30minutes": "تعلیق به مدت ۳۰ دقیقه",
+      "1hour": "تعلیق به مدت ۱ ساعت",
+      "24hours": "متوقف کردن به مدت ۲۴ ساعت",
+      "untilRestart": "متوقف کردن تا راه‌اندازی مجدد",
+      "12hours": "متوقف کردن به مدت ۱۲ ساعت"
+    },
+    "email": {
+      "title": "ایمیل",
+      "placeholder": "مثلاً example@email.com",
+      "desc": "یک ایمیل معتبر الزامی است و در صورت بروز مشکل در سرویس push برای اطلاع‌رسانی به شما استفاده می‌شود."
+    },
+    "cameras": {
+      "title": "دوربین‌ها",
+      "noCameras": "هیچ دوربینی در دسترس نیست",
+      "desc": "انتخاب کنید که برای کدام دوربین‌ها اعلان فعال شود."
+    },
+    "cancelSuspension": "لغو توقف",
+    "toast": {
+      "success": {
+        "registered": "با موفقیت برای اعلان‌ها ثبت شد. راه‌اندازی مجدد Frigate قبل از ارسال هر اعلانی (از جمله اعلان آزمایشی) الزامی است.",
+        "settingSaved": "تنظیمات اعلان ذخیره شد."
+      },
+      "error": {
+        "registerFailed": "ذخیرهٔ ثبت‌نام اعلان ناموفق بود."
+      }
+    },
+    "deviceSpecific": "تنظیمات خاص دستگاه",
+    "registerDevice": "ثبت این دستگاه",
+    "unregisterDevice": "لغو ثبت این دستگاه"
+  },
+  "frigatePlus": {
+    "apiKey": {
+      "notValidated": "کلید API ‏Frigate+ شناسایی نشده یا معتبرسازی نشده است",
+      "desc": "کلید API ‏Frigate+ امکان یکپارچه‌سازی با سرویس Frigate+ را فراهم می‌کند.",
+      "plusLink": "دربارهٔ Frigate+ بیشتر بخوانید",
+      "title": "کلید API فرigate+",
+      "validated": "کلید API فرigate+ شناسایی و تأیید شد"
+    },
+    "snapshotConfig": {
+      "title": "پیکربندی عکس فوری",
+      "desc": "ارسال به Frigate+ نیازمند فعال بودنِ هم «عکس‌های فوری» و هم عکس‌های فوریِ <code>clean_copy </code> در پیکربندی شماست.",
+      "cleanCopyWarning": "برای برخی دوربین‌ها عکس فوری فعال است اما clean copy غیرفعال است. برای این‌که بتوانید تصاویر این دوربین‌ها را به Frigate+ ارسال کنید، باید <code>clean_copy </code> را در پیکربندی عکس فوری خود فعال کنید.",
+      "table": {
+        "camera": "دوربین",
+        "snapshots": "عکس‌های فوری",
+        "cleanCopySnapshots": "عکس‌های فوریِ <code>clean_copy </code>"
+      }
+    },
+    "modelInfo": {
+      "title": "اطلاعات مدل",
+      "loadingAvailableModels": "در حال بارگذاری مدل‌های موجود…",
+      "modelSelect": "مدل‌های موجود شما در Frigate+ را می‌توان از اینجا انتخاب کرد. توجه داشته باشید که فقط مدل‌های سازگار با پیکربندی فعلی آشکارساز شما قابل انتخاب هستند.",
+      "modelType": "نوع مدل",
+      "cameras": "دوربین‌ها",
+      "loading": "در حال بارگذاری اطلاعات مدل…",
+      "error": "بارگذاری اطلاعات مدل ناموفق بود",
+      "availableModels": "مدل‌های موجود",
+      "trainDate": "تاریخ آموزش",
+      "baseModel": "مدل پایه",
+      "plusModelType": {
+        "baseModel": "مدل پایه",
+        "userModel": "بهینه‌شده"
+      },
+      "supportedDetectors": "تشخیص‌دهنده‌های پشتیبانی‌شده"
+    },
+    "unsavedChanges": "تغییرات تنظیمات Frigate+ ذخیره‌نشده",
+    "restart_required": "نیاز به راه‌اندازی مجدد (مدل Frigate+ تغییر کرد)",
+    "toast": {
+      "success": "تنظیمات Frigate+ ذخیره شد. برای اعمال تغییرات، Frigate را راه‌اندازی مجدد کنید.",
+      "error": "ذخیرهٔ تغییرات پیکربندی ناموفق بود: {{errorMessage}}"
+    },
+    "title": "تنظیمات Frigate+"
+  },
+  "triggers": {
+    "documentTitle": "تریگرها",
+    "semanticSearch": {
+      "title": "جستجوی معنایی غیرفعال است",
+      "desc": "برای استفاده از تریگرها باید جستجوی معنایی فعال باشد."
+    },
+    "management": {
+      "title": "تریگرها",
+      "desc": "مدیریت محرک‌ها برای {{camera}}. از نوع بندانگشتی برای فعال‌سازی روی بندانگشتی‌های مشابه به شیء ردیابی‌شدهٔ انتخابی‌تان استفاده کنید، و از نوع توضیحات برای فعال‌سازی روی توضیحات مشابه به متنی که مشخص می‌کنید."
+    },
+    "table": {
+      "lastTriggered": "آخرین بار فعال‌شده",
+      "noTriggers": "هیچ محرکی برای این دوربین پیکربندی نشده است.",
+      "edit": "ویرایش",
+      "deleteTrigger": "حذف محرک",
+      "name": "نام",
+      "type": "نوع",
+      "content": "محتوا",
+      "threshold": "آستانه",
+      "actions": "اقدامات"
+    },
+    "type": {
+      "thumbnail": "پیش‌نمایش",
+      "description": "توضیحات"
+    },
+    "actions": {
+      "notification": "ارسال اعلان",
+      "sub_label": "افزودن زیر‌برچسب",
+      "attribute": "افزودن ویژگی"
+    },
+    "dialog": {
+      "createTrigger": {
+        "title": "ایجاد تریگر",
+        "desc": "برای دوربین {{camera}} یک تریگر ایجاد کنید"
+      },
+      "editTrigger": {
+        "title": "ویرایش تریگر",
+        "desc": "تنظیمات تریگر روی دوربین {{camera}} را ویرایش کنید"
+      },
+      "deleteTrigger": {
+        "title": "حذف تریگر",
+        "desc": "آیا مطمئن هستید که می‌خواهید تریگر <strong> {{triggerName}} </strong> را حذف کنید؟ این عمل قابل بازگشت نیست."
+      },
+      "form": {
+        "name": {
+          "title": "نام",
+          "placeholder": "این تریگر را نام‌گذاری کنید",
+          "description": "یک نام یا توضیح یکتا وارد کنید تا این تریگر قابل شناسایی باشد",
+          "error": {
+            "minLength": "فیلد باید حداقل ۲ کاراکتر باشد.",
+            "invalidCharacters": "فیلد فقط می‌تواند شامل حروف، اعداد، زیرخط (_) و خط تیره (-) باشد.",
+            "alreadyExists": "تریگری با این نام از قبل برای این دوربین وجود دارد."
+          }
+        },
+        "enabled": {
+          "description": "این تریگر را فعال یا غیرفعال کنید"
+        },
+        "type": {
+          "title": "نوع",
+          "placeholder": "نوع تریگر را انتخاب کنید",
+          "description": "وقتی توضیحی مشابهِ شیء ردیابی‌شده تشخیص داده شود تریگر شود",
+          "thumbnail": "وقتی بندانگشتیِ مشابهِ شیء ردیابی‌شده تشخیص داده شود تریگر شود"
+        },
+        "content": {
+          "title": "محتوا",
+          "imagePlaceholder": "یک بندانگشتی انتخاب کنید",
+          "textPlaceholder": "محتوای متنی را وارد کنید",
+          "imageDesc": "فقط ۱۰۰ بندانگشتیِ آخر نمایش داده می‌شوند. اگر بندانگشتیِ موردنظر خود را پیدا نمی‌کنید، لطفاً اشیای قدیمی‌تر را در Explore مرور کنید و از همان‌جا از منو یک تریگر تنظیم کنید.",
+          "textDesc": "متنی وارد کنید تا وقتی توضیحی مشابهِ شیء ردیابی‌شده تشخیص داده شد، این اقدام تریگر شود.",
+          "error": {
+            "required": "محتوا الزامی است."
+          }
+        },
+        "threshold": {
+          "title": "آستانه",
+          "desc": "آستانهٔ شباهت را برای این تریگر تعیین کنید. آستانهٔ بالاتر یعنی برای فعال شدن تریگر، تطابق نزدیک‌تری لازم است.",
+          "error": {
+            "min": "آستانه باید حداقل ۰ باشد",
+            "max": "آستانه باید حداکثر ۱ باشد"
+          }
+        },
+        "actions": {
+          "title": "اقدام‌ها",
+          "desc": "به‌طور پیش‌فرض، Frigate برای همهٔ تریگرها یک پیام MQTT ارسال می‌کند. زیر‌برچسب‌ها نام تریگر را به برچسب شیء اضافه می‌کنند. ویژگی‌ها فراداده‌های قابل جستجو هستند که جداگانه در فرادادهٔ شیء ردیابی‌شده ذخیره می‌شوند.",
+          "error": {
+            "min": "حداقل باید یک اقدام انتخاب شود."
+          }
+        }
+      }
+    },
+    "wizard": {
+      "title": "ایجاد تریگر",
+      "step1": {
+        "description": "تنظیمات پایهٔ تریگر خود را پیکربندی کنید."
+      },
+      "step2": {
+        "description": "محتوایی را که این اقدام را فعال می‌کند تنظیم کنید."
+      },
+      "step3": {
+        "description": "آستانه و اقدام‌های این تریگر را پیکربندی کنید."
+      },
+      "steps": {
+        "nameAndType": "نام و نوع",
+        "configureData": "پیکربندی داده‌ها",
+        "thresholdAndActions": "آستانه و اقدام‌ها"
+      }
+    },
+    "toast": {
+      "success": {
+        "createTrigger": "تریگر {{name}} با موفقیت ایجاد شد.",
+        "updateTrigger": "تریگر {{name}} با موفقیت به‌روزرسانی شد.",
+        "deleteTrigger": "تریگر {{name}} با موفقیت حذف شد."
+      },
+      "error": {
+        "createTriggerFailed": "ایجاد تریگر ناموفق بود: {{errorMessage}}",
+        "updateTriggerFailed": "به‌روزرسانی تریگر ناموفق بود: {{errorMessage}}",
+        "deleteTriggerFailed": "حذف تریگر ناموفق بود: {{errorMessage}}"
+      }
+    },
+    "addTrigger": "افزودن محرک"
   }
 }
diff --git a/web/public/locales/fa/views/system.json b/web/public/locales/fa/views/system.json
index 4cc9550d7..090d4a97f 100644
--- a/web/public/locales/fa/views/system.json
+++ b/web/public/locales/fa/views/system.json
@@ -2,6 +2,200 @@
   "documentTitle": {
     "cameras": "آمار دوربین‌ها - فریگیت",
     "storage": "آمار حافظه - فریگیت",
-    "general": "آمار عمومی - فریگیت"
-  }
+    "general": "آمار عمومی - فریگیت",
+    "enrichments": "آمار بهینه سازی - فریگیت",
+    "logs": {
+      "frigate": "ثبت رخدادهای فریگیت - فریگیت",
+      "go2rtc": "گزارش‌های Go2RTC - فریگیت",
+      "nginx": "گزارش‌های Nginx - فریگیت"
+    }
+  },
+  "title": "سیستم",
+  "metrics": "شاخص‌های سیستم",
+  "logs": {
+    "download": {
+      "label": "دانلود گزارش‌ها"
+    },
+    "copy": {
+      "label": "کپی در کلیپ‌بورد",
+      "success": "گزارش‌ها در کلیپ‌بورد کپی شدند",
+      "error": "نمی‌توان گزارش‌ها را در کلیپ‌بورد کپی کرد"
+    },
+    "type": {
+      "label": "نوع",
+      "timestamp": "برچسب زمانی",
+      "tag": "تگ",
+      "message": "پیام"
+    },
+    "tips": "گزارش‌ها از سرور به‌صورت زنده در حال دریافت هستند",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "خطا در دریافت گزارش‌ها: {{errorMessage}}",
+        "whileStreamingLogs": "خطا هنگام پخش زندهٔ گزارش‌ها: {{errorMessage}}"
+      }
+    }
+  },
+  "general": {
+    "hardwareInfo": {
+      "title": "اطلاعات سخت‌افزار",
+      "gpuUsage": "مصرف GPU",
+      "gpuMemory": "حافظهٔ GPU",
+      "gpuEncoder": "رمزگذار GPU",
+      "gpuDecoder": "رمزگشای GPU",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "خروجی Vainfo",
+          "returnCode": "کد بازگشتی: {{code}}",
+          "processOutput": "خروجی فرایند:",
+          "processError": "خطای فرایند:"
+        },
+        "nvidiaSMIOutput": {
+          "title": "خروجی Nvidia SMI",
+          "name": "ذخیرهٔ جست‌وجونام: {{name}}",
+          "driver": "درایور: {{driver}}",
+          "cudaComputerCapability": "قابلیت محاسباتی CUDA: {{cuda_compute}}",
+          "vbios": "اطلاعات VBios: {{vbios}}"
+        },
+        "closeInfo": {
+          "label": "بستن اطلاعات GPU"
+        },
+        "copyInfo": {
+          "label": "کپی اطلاعات GPU"
+        },
+        "toast": {
+          "success": "اطلاعات GPU در کلیپ‌بورد کپی شد"
+        }
+      },
+      "npuUsage": "میزان استفاده از NPU",
+      "npuMemory": "حافظهٔ NPU",
+      "intelGpuWarning": {
+        "title": "هشدار آمار GPU اینتل",
+        "message": "آمار GPU در دسترس نیست",
+        "description": "این یک باگ شناخته‌شده در ابزارهای گزارش‌دهی آمار GPU اینتل (intel_gpu_top) است که باعث می‌شود از کار بیفتد و حتی در مواردی که شتاب‌دهی سخت‌افزاری و تشخیص شیء به‌درستی روی (i)GPU اجرا می‌شوند، به‌طور مکرر میزان استفادهٔ GPU را ۰٪ برگرداند. این مشکل مربوط به Frigate نیست. می‌توانید میزبان را ری‌استارت کنید تا موقتاً مشکل برطرف شود و تأیید کنید که GPU درست کار می‌کند. این موضوع روی عملکرد تأثیری ندارد."
+      }
+    },
+    "title": "عمومی",
+    "detector": {
+      "title": "آشکارسازها",
+      "inferenceSpeed": "سرعت استنتاج آشکارساز",
+      "temperature": "دمای آشکارساز",
+      "cpuUsage": "مصرف CPU آشکارساز",
+      "cpuUsageInformation": "CPU برای آماده‌سازی داده‌های ورودی و خروجی به/از مدل‌های تشخیص استفاده می‌شود. این مقدار مصرف استنتاج را اندازه‌گیری نمی‌کند، حتی اگر از GPU یا شتاب‌دهنده استفاده شود.",
+      "memoryUsage": "مصرف حافظهٔ آشکارساز"
+    },
+    "otherProcesses": {
+      "title": "فرایندهای دیگر",
+      "processCpuUsage": "میزان استفادهٔ CPU فرایند",
+      "processMemoryUsage": "میزان استفادهٔ حافظهٔ فرایند"
+    }
+  },
+  "storage": {
+    "recordings": {
+      "earliestRecording": "قدیمی‌ترین ضبط موجود:",
+      "title": "ضبط‌ها",
+      "tips": "این مقدار نشان‌دهندهٔ کل فضای ذخیره‌سازیِ استفاده‌شده توسط ضبط‌ها در پایگاه‌دادهٔ Frigate است. Frigate میزان استفاده از فضای ذخیره‌سازیِ همهٔ فایل‌های روی دیسک شما را ردیابی نمی‌کند."
+    },
+    "shm": {
+      "warning": "اندازهٔ فعلی SHM برابر {{total}}MB خیلی کوچک است. آن را دست‌کم به {{min_shm}}MB افزایش دهید.",
+      "title": "اختصاص SHM (حافظهٔ اشتراکی)"
+    },
+    "cameraStorage": {
+      "title": "ذخیره‌سازی دوربین",
+      "unusedStorageInformation": "اطلاعات فضای ذخیره‌سازیِ استفاده‌نشده",
+      "percentageOfTotalUsed": "درصد از کل",
+      "unused": {
+        "title": "استفاده‌نشده",
+        "tips": "اگر فایل‌های دیگری غیر از ضبط‌های Frigate روی دیسک شما ذخیره شده باشد، این مقدار ممکن است فضای آزادِ در دسترس برای Frigate را دقیق نشان ندهد. Frigate میزان استفاده از فضای ذخیره‌سازی خارج از ضبط‌های خودش را ردیابی نمی‌کند."
+      },
+      "camera": "دوربین",
+      "storageUsed": "ذخیره‌سازی",
+      "bandwidth": "پهنای باند"
+    },
+    "title": "ذخیره‌سازی",
+    "overview": "نمای کلی"
+  },
+  "cameras": {
+    "overview": "نمای کلی",
+    "info": {
+      "cameraProbeInfo": "اطلاعات پروب دوربین {{camera}}",
+      "fetching": "در حال دریافت داده‌های دوربین",
+      "video": "ویدئو:",
+      "fps": "FPS:",
+      "audio": "صدا:",
+      "aspectRatio": "نسبت تصویر",
+      "streamDataFromFFPROBE": "داده‌های جریان با <code>ffprobe</code> به‌دست می‌آید.",
+      "stream": "جریان {{idx}}",
+      "codec": "کدک:",
+      "resolution": "وضوح:",
+      "unknown": "نامشخص",
+      "error": "خطا: {{error}}",
+      "tips": {
+        "title": "اطلاعات بررسی دوربین"
+      }
+    },
+    "framesAndDetections": "فریم‌ها / تشخیص‌ها",
+    "label": {
+      "detect": "تشخیص",
+      "capture": "گرفتن",
+      "overallDetectionsPerSecond": "مجموع تشخیص‌ها در ثانیه",
+      "cameraCapture": "گرفتن {{camName}}",
+      "cameraDetectionsPerSecond": "تشخیص‌ها در ثانیهٔ {{camName}}",
+      "camera": "دوربین",
+      "skipped": "رد شد",
+      "ffmpeg": "FFmpeg",
+      "overallFramesPerSecond": "نرخ کلی فریم بر ثانیه",
+      "overallSkippedDetectionsPerSecond": "نرخ کلی تشخیص‌های ردشده بر ثانیه",
+      "cameraDetect": "تشخیص {{camName}}",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraFramesPerSecond": "{{camName}} فریم بر ثانیه",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} تشخیص‌های ردشده در ثانیه"
+    },
+    "toast": {
+      "error": {
+        "unableToProbeCamera": "پروبِ دوربین ناموفق بود: {{errorMessage}}"
+      },
+      "success": {
+        "copyToClipboard": "داده‌های بررسی در کلیپ‌بورد کپی شد."
+      }
+    },
+    "title": "دوربین‌ها"
+  },
+  "stats": {
+    "ffmpegHighCpuUsage": "{{camera}} استفادهٔ CPU بالایی برای FFmpeg دارد ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} استفادهٔ CPU بالایی برای تشخیص دارد ({{detectAvg}}%)",
+    "reindexingEmbeddings": "بازتولید نمایهٔ embeddingها ({{processed}}% تکمیل شده)",
+    "cameraIsOffline": "{{camera}} آفلاین است",
+    "detectIsVerySlow": "{{detect}} بسیار کند است ({{speed}} ms)",
+    "shmTooLow": "اختصاص /dev/shm ({{total}} MB) باید دست‌کم تا {{min}} MB افزایش یابد.",
+    "healthy": "سامانه سالم است",
+    "detectIsSlow": "{{detect}} کند است ( {{speed}} میلی‌ثانیه )"
+  },
+  "enrichments": {
+    "infPerSecond": "استنتاج‌ها در ثانیه",
+    "embeddings": {
+      "text_embedding": "امبدینگ متن",
+      "image_embedding_speed": "سرعت امبدینگ تصویر",
+      "plate_recognition_speed": "سرعت تشخیص پلاک",
+      "yolov9_plate_detection": "تشخیص پلاک YOLOv9",
+      "review_description_events_per_second": "توضیح بازبینی",
+      "object_description": "توضیح شیء",
+      "image_embedding": "امبدینگ تصویر",
+      "face_recognition": "شناسایی چهره",
+      "plate_recognition": "شناسایی پلاک",
+      "face_embedding_speed": "سرعت امبدینگ چهره",
+      "face_recognition_speed": "سرعت شناسایی چهره",
+      "text_embedding_speed": "سرعت امبدینگ متن",
+      "yolov9_plate_detection_speed": "سرعت تشخیص پلاک YOLOv9",
+      "review_description": "توضیحات بازبینی",
+      "review_description_speed": "سرعت توضیحات بازبینی",
+      "object_description_speed": "سرعت توضیحات شیء",
+      "object_description_events_per_second": "توضیحات شیء",
+      "classification": "طبقه‌بندی {{name}}",
+      "classification_speed": "سرعت طبقه‌بندی {{name}}",
+      "classification_events_per_second": "رویدادهای طبقه‌بندی {{name}} در ثانیه"
+    },
+    "title": "غنی‌سازی‌ها",
+    "averageInf": "میانگین زمان استنتاج"
+  },
+  "lastRefreshed": "آخرین به‌روزرسانی: · "
 }
diff --git a/web/public/locales/fi/views/classificationModel.json b/web/public/locales/fi/views/classificationModel.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/fi/views/classificationModel.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/fr/audio.json b/web/public/locales/fr/audio.json
index b773f026b..b34615853 100644
--- a/web/public/locales/fr/audio.json
+++ b/web/public/locales/fr/audio.json
@@ -1,10 +1,10 @@
 {
-  "speech": "Conversation",
+  "speech": "Parole",
   "babbling": "Babillage",
-  "yell": "Crier",
+  "yell": "Cri",
   "bicycle": "Vélo",
   "car": "Voiture",
-  "bellow": "Ci-dessous",
+  "bellow": "Beuglement",
   "whispering": "Chuchotement",
   "laughter": "Rires",
   "snicker": "Ricanement",
@@ -13,7 +13,7 @@
   "bus": "Bus",
   "train": "Train",
   "motorcycle": "Moto",
-  "whoop": "Cri",
+  "whoop": "Cri strident",
   "sigh": "Soupir",
   "singing": "Chant",
   "choir": "Chorale",
@@ -22,7 +22,7 @@
   "mantra": "Mantra",
   "child_singing": "Chant d'enfant",
   "bird": "Oiseau",
-  "cat": "chat",
+  "cat": "Chat",
   "synthetic_singing": "Chant synthétique",
   "rapping": "Rap",
   "horse": "Cheval",
@@ -31,15 +31,15 @@
   "whistling": "Sifflement",
   "breathing": "Respiration",
   "snoring": "Ronflement",
-  "gasp": "Souffle",
+  "gasp": "Souffle coupé",
   "pant": "halètement",
-  "snort": "Reniflement",
+  "snort": "Ébrouement",
   "camera": "Caméra",
-  "cough": "Toussotement",
+  "cough": "Toux",
   "groan": "Gémissement",
   "grunt": "Grognement",
-  "throat_clearing": "Éclaircissement de la gorge",
-  "wheeze": "Respiration bruyante",
+  "throat_clearing": "Raclement de gorge",
+  "wheeze": "Respiration sifflante",
   "sneeze": "Éternuement",
   "sniff": "Reniflement",
   "chewing": "Mastication",
@@ -72,7 +72,7 @@
   "burping": "Rots",
   "fart": "Pet",
   "crowd": "Foule",
-  "children_playing": "Enfants en train de jouer",
+  "children_playing": "Jeux d'enfants",
   "animal": "Animal",
   "bark": "Aboiement",
   "pig": "Cochon",
@@ -80,7 +80,7 @@
   "chicken": "Poulet",
   "turkey": "Dinde",
   "duck": "Canard",
-  "goose": "Dindon",
+  "goose": "Oie",
   "wild_animals": "Animaux Sauvages",
   "crow": "Corbeau",
   "dogs": "Chiens",
@@ -99,31 +99,31 @@
   "vehicle": "Véhicule",
   "skateboard": "Skateboard",
   "door": "Porte",
-  "blender": "Mixer",
-  "hair_dryer": "Sèche cheveux",
+  "blender": "Mixeur",
+  "hair_dryer": "Sèche-cheveux",
   "toothbrush": "Brosse à dents",
-  "sink": "Lavabo",
-  "scissors": "Paire de ciseaux",
+  "sink": "Évier",
+  "scissors": "Ciseaux",
   "humming": "Bourdonnement",
-  "shuffle": "Mélanger",
-  "footsteps": "Pas",
+  "shuffle": "Pas traînants",
+  "footsteps": "Bruits de pas",
   "hiccup": "Hoquet",
   "finger_snapping": "Claquement de doigts",
   "clapping": "Claquements",
   "applause": "Applaudissements",
   "heartbeat": "Battements de coeur",
-  "cheering": "Applaudissement",
+  "cheering": "Acclamations",
   "electric_shaver": "Rasoir électrique",
   "truck": "Camion",
-  "run": "Démarrer",
+  "run": "Course",
   "biting": "Mordre",
   "stomach_rumble": "Gargouillements d'estomac",
   "hands": "Mains",
   "heart_murmur": "Souffle au cœur",
-  "chatter": "Bavarder",
+  "chatter": "Bavardage",
   "pets": "Animaux de compagnie",
-  "yip": "Ouais",
-  "howl": "Hurler",
+  "yip": "Jappement",
+  "howl": "Hurlement",
   "growling": "Grondement",
   "whimper_dog": "Gémissements de chien",
   "purr": "Ronronnements",
@@ -132,8 +132,8 @@
   "livestock": "Bétail",
   "neigh": "Hennissement",
   "quack": "Coin-coin",
-  "honk": "Klaxon",
-  "roaring_cats": "Feulements",
+  "honk": "Cacardement",
+  "roaring_cats": "Rugissement de félins",
   "roar": "Rugissements",
   "chirp": "Gazouillis",
   "squawk": "Braillement",
@@ -191,7 +191,7 @@
   "steelpan": "Pan",
   "orchestra": "Orchestre",
   "brass_instrument": "Cuivres",
-  "french_horn": "Cor français",
+  "french_horn": "Cor d'harmonie",
   "trumpet": "Trompette",
   "bowed_string_instrument": "Instrument à cordes frottées",
   "string_section": "Section des cordes",
@@ -247,7 +247,7 @@
   "sad_music": "Musique triste",
   "tender_music": "Musique tendre",
   "exciting_music": "Musique stimulante",
-  "angry_music": "Musique énervée",
+  "angry_music": "Musique agressive",
   "scary_music": "Musique effrayante",
   "wind": "Vent",
   "rustling_leaves": "Bruissements de feuilles",
@@ -277,7 +277,7 @@
   "skidding": "Dérapage",
   "tire_squeal": "Crissements de pneu",
   "car_passing_by": "Passage de voiture",
-  "race_car": "Course de voitures",
+  "race_car": "Voiture de course",
   "air_brake": "Frein pneumatique",
   "air_horn": "Klaxon à air",
   "reversing_beeps": "Bips de marche arrière",
@@ -311,7 +311,7 @@
   "squeak": "Grincement",
   "cupboard_open_or_close": "Ouverture ou fermeture de placard",
   "drawer_open_or_close": "Ouverture ou fermeture de tiroir",
-  "dishes": "Plats",
+  "dishes": "Bruit de vaisselle",
   "cutlery": "Couverts",
   "chopping": "Hacher",
   "frying": "Friture",
@@ -324,7 +324,7 @@
   "zipper": "Fermeture éclair",
   "keys_jangling": "Tintements de clés",
   "coin": "Pièce de monnaie",
-  "shuffling_cards": "Mélange de cartes",
+  "shuffling_cards": "Battement de cartes",
   "typing": "Frappe au clavier",
   "typewriter": "Machine à écrire",
   "writing": "Écriture",
@@ -414,16 +414,90 @@
   "idling": "Ralenti",
   "radio": "Radio",
   "telephone": "Téléphone",
-  "bow_wow": "Ouaf ouaf",
+  "bow_wow": "Aboiement",
   "hiss": "Sifflement",
   "clip_clop": "Clic-clac",
   "cattle": "Bétail",
   "moo": "Meuglement",
   "cowbell": "Clochette",
   "oink": "Grouin-grouin",
-  "bleat": "Bêler",
+  "bleat": "Bêlement",
   "fowl": "Volaille",
   "cluck": "Gloussement",
   "cock_a_doodle_doo": "Cocorico",
-  "gobble": "Glouglou"
+  "gobble": "Glouglou",
+  "chird": "Accord",
+  "change_ringing": "Carillon de cloches",
+  "sodeling": "Sodèle",
+  "shofar": "Choffar",
+  "liquid": "Liquide",
+  "splash": "Éclaboussure",
+  "slosh": "Clapotis",
+  "squish": "Bruit de pataugeage",
+  "drip": "Goutte à goutte",
+  "trickle": "Filet",
+  "gush": "Jet",
+  "fill": "Remplir",
+  "spray": "Pulvérisation",
+  "pump": "Pompe",
+  "stir": "Remuer",
+  "boiling": "Ébullition",
+  "arrow": "Flèche",
+  "pour": "Verser",
+  "sonar": "Sonar",
+  "whoosh": "Whoosh",
+  "thump": "Coup sourd",
+  "thunk": "Bruit sourd",
+  "electronic_tuner": "Accordeur électronique",
+  "effects_unit": "Unité d'effets",
+  "chorus_effect": "Effet de chœur",
+  "basketball_bounce": "Rebond de basket-ball",
+  "bang": "Détonation",
+  "slap": "Gifle",
+  "whack": "Coup sec",
+  "smash": "Fracasser",
+  "breaking": "Bruit de casse",
+  "bouncing": "Rebondissement",
+  "whip": "Fouet",
+  "flap": "Battement",
+  "scratch": "Grattement",
+  "scrape": "Raclement",
+  "rub": "Frottement",
+  "roll": "Roulement",
+  "crushing": "Écrasement",
+  "crumpling": "Froissement",
+  "tearing": "Déchirure",
+  "beep": "Bip",
+  "ping": "Ping",
+  "ding": "Ding",
+  "clang": "Bruit métallique",
+  "squeal": "Grincement",
+  "creak": "Craquer",
+  "rustle": "Bruissement",
+  "whir": "Vrombissement",
+  "clatter": "Bruit",
+  "sizzle": "Grésillement",
+  "clicking": "Cliquetis",
+  "clickety_clack": "Clic-clac",
+  "rumble": "Grondement",
+  "plop": "Ploc",
+  "hum": "Hum",
+  "harmonic": "Harmonique",
+  "outside": "Extérieur",
+  "reverberation": "Réverbération",
+  "echo": "Écho",
+  "distortion": "Distorsion",
+  "vibration": "Vibration",
+  "zing": "Sifflement",
+  "crunch": "Croque",
+  "sine_wave": "Onde sinusoïdale",
+  "chirp_tone": "Gazouillis",
+  "pulse": "Impulsion",
+  "inside": "Intérieur",
+  "noise": "Bruit",
+  "mains_hum": "Bourdonnement du secteur",
+  "sidetone": "Retour de voix",
+  "cacophony": "Cacophonie",
+  "throbbing": "Pulsation",
+  "boing": "Boing"
 }
diff --git a/web/public/locales/fr/common.json b/web/public/locales/fr/common.json
index 960dd1d0d..a1132a01e 100644
--- a/web/public/locales/fr/common.json
+++ b/web/public/locales/fr/common.json
@@ -1,6 +1,6 @@
 {
   "time": {
-    "untilForRestart": "Jusqu'au redémarrage de Frigate.",
+    "untilForRestart": "Jusqu'au redémarrage de Frigate",
     "untilRestart": "Jusqu'au redémarrage",
     "untilForTime": "Jusqu'à {{time}}",
     "justNow": "À l'instant",
@@ -22,10 +22,10 @@
     "pm": "PM",
     "am": "AM",
     "yr": "{{time}} a",
-    "year_one": "{{time}} année",
-    "year_many": "{{time}} années",
-    "year_other": "{{time}} années",
-    "mo": "{{time}} m",
+    "year_one": "{{time}} an",
+    "year_many": "{{time}} ans",
+    "year_other": "{{time}} ans",
+    "mo": "{{time}} mois",
     "month_one": "{{time}} mois",
     "month_many": "{{time}} mois",
     "month_other": "{{time}} mois",
@@ -33,7 +33,7 @@
     "second_one": "{{time}} seconde",
     "second_many": "{{time}} secondes",
     "second_other": "{{time}} secondes",
-    "m": "{{time}} mn",
+    "m": "{{time}} min",
     "hour_one": "{{time}} heure",
     "hour_many": "{{time}} heures",
     "hour_other": "{{time}} heures",
@@ -65,29 +65,32 @@
     },
     "formattedTimestampHourMinute": {
       "24hour": "HH:mm",
-      "12hour": "HH:mm aaa"
+      "12hour": "HH:mm"
     },
     "formattedTimestampMonthDay": "d MMM",
     "formattedTimestampFilename": {
-      "12hour": "dd-MM-yy-HH-mm-ss-a",
+      "12hour": "dd-MM-yy-HH-mm-ss",
       "24hour": "dd-MM-yy-HH-mm-ss"
     },
     "formattedTimestampMonthDayHourMinute": {
-      "12hour": "d MMM, HH:mm aaa",
+      "12hour": "d MMM, HH:mm",
       "24hour": "d MMM, HH:mm"
     },
     "formattedTimestampHourMinuteSecond": {
       "24hour": "HH:mm:ss",
-      "12hour": "HH:mm:ss aaa"
+      "12hour": "HH:mm:ss"
     },
     "formattedTimestampMonthDayYearHourMinute": {
-      "12hour": "d MMM yyyy, HH:mm aaa",
+      "12hour": "d MMM yyyy, HH:mm",
       "24hour": "d MMM yyyy, HH:mm"
     },
     "formattedTimestampMonthDayYear": {
       "12hour": "d MMM, yyyy",
       "24hour": "d MMM,yyyy"
-    }
+    },
+    "inProgress": "En cours",
+    "invalidStartTime": "Heure de début invalide",
+    "invalidEndTime": "Heure de fin invalide"
   },
   "button": {
     "apply": "Appliquer",
@@ -98,16 +101,16 @@
     "close": "Fermer",
     "copy": "Copier",
     "back": "Retour",
-    "history": "Historique",
-    "pictureInPicture": "Image en incrustation",
+    "history": "Chronologie",
+    "pictureInPicture": "Image dans l'image",
     "twoWayTalk": "Conversation bidirectionnelle",
-    "off": "Inactif",
-    "edit": "Editer",
+    "off": "OFF",
+    "edit": "Modifier",
     "copyCoordinates": "Copier les coordonnées",
     "delete": "Supprimer",
     "yes": "Oui",
     "no": "Non",
-    "unsuspended": "Reprendre",
+    "unsuspended": "Réactiver",
     "play": "Lire",
     "unselect": "Désélectionner",
     "suspended": "Suspendu",
@@ -120,11 +123,12 @@
     "next": "Suivant",
     "exitFullscreen": "Sortir du mode plein écran",
     "cameraAudio": "Son de la caméra",
-    "on": "Actif",
+    "on": "ON",
     "export": "Exporter",
     "deleteNow": "Supprimer maintenant",
     "download": "Télécharger",
-    "done": "Terminé"
+    "done": "Terminé",
+    "continue": "Continuer"
   },
   "menu": {
     "configuration": "Configuration",
@@ -142,14 +146,14 @@
       "nl": "Nederlands (Néerlandais)",
       "sv": "Svenska (Suédois)",
       "cs": "Čeština (Tchèque)",
-      "nb": "Norsk Bokmål (Bokmål Norvégien)",
+      "nb": "Norsk Bokmål (Norvégien Bokmål)",
       "ko": "한국어 (Coréen)",
-      "fa": "فارسی (Perse)",
+      "fa": "فارسی (Persan)",
       "pl": "Polski (Polonais)",
       "el": "Ελληνικά (Grec)",
       "ro": "Română (Roumain)",
       "hu": "Magyar (Hongrois)",
-      "he": "עברית (Hebreu)",
+      "he": "עברית (Hébreu)",
       "ru": "Русский (Russe)",
       "de": "Deutsch (Allemand)",
       "es": "Español (Espagnol)",
@@ -163,14 +167,14 @@
       "yue": "粵語 (Cantonais)",
       "th": "ไทย (Thai)",
       "ca": "Català (Catalan)",
-      "ptBR": "Português brasileiro (portugais brésilien)",
+      "ptBR": "Português brasileiro (Portugais brésilien)",
       "sr": "Српски (Serbe)",
-      "sl": "Slovenščina (slovène)",
-      "lt": "Lietuvių (lithuanien)",
-      "bg": "Български (bulgare)",
-      "gl": "Galego (galicien)",
-      "id": "Bahasa Indonesia (indonésien)",
-      "ur": "اردو (ourdou)"
+      "sl": "Slovenščina (Slovène)",
+      "lt": "Lietuvių (Lithuanien)",
+      "bg": "Български (Bulgare)",
+      "gl": "Galego (Galicien)",
+      "id": "Bahasa Indonesia (Indonésien)",
+      "ur": "اردو (Ourdou)"
     },
     "appearance": "Apparence",
     "darkMode": {
@@ -181,7 +185,7 @@
       },
       "label": "Mode sombre"
     },
-    "review": "Revue d'événements",
+    "review": "Activités",
     "explore": "Explorer",
     "export": "Exporter",
     "user": {
@@ -199,18 +203,18 @@
     },
     "system": "Système",
     "help": "Aide",
-    "configurationEditor": "Editeur de configuration",
+    "configurationEditor": "Éditeur de configuration",
     "theme": {
       "contrast": "Contraste élevé",
       "blue": "Bleu",
       "green": "Vert",
       "nord": "Nord",
       "red": "Rouge",
-      "default": "Défaut",
+      "default": "Par défaut",
       "label": "Thème",
       "highcontrast": "Contraste élevé"
     },
-    "systemMetrics": "Indicateurs systèmes",
+    "systemMetrics": "Métriques du système",
     "settings": "Paramètres",
     "withSystem": "Système",
     "restart": "Redémarrer Frigate",
@@ -224,25 +228,26 @@
       "allCameras": "Toutes les caméras",
       "title": "Direct"
     },
-    "uiPlayground": "Gestion de l'interface",
+    "uiPlayground": "Bac à sable de l'interface",
     "faceLibrary": "Bibliothèque de visages",
-    "languages": "Langues"
+    "languages": "Langues",
+    "classification": "Classification"
   },
   "toast": {
     "save": {
       "title": "Enregistrer",
       "error": {
         "noMessage": "Echec lors de l'enregistrement des changements de configuration",
-        "title": "Echec lors de l'enregistrement des changements de configuration : {{errorMessage}}"
+        "title": "Échec de l'enregistrement des changements de configuration : {{errorMessage}}"
       }
     },
-    "copyUrlToClipboard": "Lien copié dans le presse-papier."
+    "copyUrlToClipboard": "URL copiée dans le presse-papiers"
   },
   "role": {
     "title": "Rôle",
     "viewer": "Observateur",
     "admin": "Administrateur",
-    "desc": "Les administrateurs accèdent à l'ensemble des fonctionnalités de l'interface Frigate. Les observateurs sont limités à la consultation des caméras, de la revue d'événements, et à l'historique des enregistrements dans l'interface utilisateur."
+    "desc": "Les administrateurs ont un accès complet à toutes les fonctionnalités de l'interface Frigate. Les observateurs sont limités à la consultation des caméras, des activités, et à l'historique des enregistrements dans l'interface."
   },
   "pagination": {
     "next": {
@@ -266,10 +271,15 @@
   "accessDenied": {
     "title": "Accès refusé",
     "documentTitle": "Accès refusé - Frigate",
-    "desc": "Vous n'avez pas l'autorisation de voir cette page."
+    "desc": "Vous n'avez pas l'autorisation de consulter cette page."
   },
   "label": {
-    "back": "Retour"
+    "back": "Retour",
+    "hide": "Masquer {{item}}",
+    "show": "Afficher {{item}}",
+    "ID": "ID",
+    "none": "Aucun",
+    "all": "Tous"
   },
   "unit": {
     "speed": {
@@ -279,6 +289,26 @@
     "length": {
       "feet": "pieds",
       "meters": "mètres"
+    },
+    "data": {
+      "kbps": "ko/s",
+      "mbps": "Mo/s",
+      "gbps": "Go/s",
+      "kbph": "ko/heure",
+      "mbph": "Mo/heure",
+      "gbph": "Go/heure"
     }
+  },
+  "information": {
+    "pixels": "{{area}}px"
+  },
+  "field": {
+    "optional": "Facultatif",
+    "internalID": "L'ID interne utilisée par Frigate dans la configuration et la base de donnêes"
+  },
+  "list": {
+    "two": "{{0}} et {{1}}",
+    "many": "{{items}}, et {{last}}",
+    "separatorWithSpace": ", "
   }
 }
diff --git a/web/public/locales/fr/components/auth.json b/web/public/locales/fr/components/auth.json
index 65e26691b..3e600fb71 100644
--- a/web/public/locales/fr/components/auth.json
+++ b/web/public/locales/fr/components/auth.json
@@ -1,15 +1,16 @@
 {
   "form": {
     "password": "Mot de passe",
-    "login": "Identifiant",
+    "login": "Connexion",
     "user": "Nom d'utilisateur",
     "errors": {
       "unknownError": "Erreur inconnue. Vérifiez les journaux.",
       "webUnknownError": "Erreur inconnue. Vérifiez les journaux de la console.",
-      "passwordRequired": "Un mot de passe est requis",
+      "passwordRequired": "Mot de passe est requis",
       "loginFailed": "Échec de l'authentification",
-      "usernameRequired": "Un nom d'utilisateur est requis",
-      "rateLimit": "Nombre d'essais dépassé. Réessayez plus tard."
-    }
+      "usernameRequired": "Nom d'utilisateur requis",
+      "rateLimit": "Trop de tentatives. Veuillez réessayer plus tard."
+    },
+    "firstTimeLogin": "Première connexion ? Vos identifiants se trouvent dans les journaux de Frigate."
   }
 }
diff --git a/web/public/locales/fr/components/camera.json b/web/public/locales/fr/components/camera.json
index 8595697bc..0e95c70e3 100644
--- a/web/public/locales/fr/components/camera.json
+++ b/web/public/locales/fr/components/camera.json
@@ -1,38 +1,38 @@
 {
   "group": {
-    "edit": "Éditer le groupe de caméras",
-    "label": "Groupe de caméras",
+    "edit": "Modifier le groupe de caméras",
+    "label": "Groupes de caméras",
     "add": "Ajouter un groupe de caméras",
     "delete": {
       "label": "Supprimer le groupe de caméras",
       "confirm": {
-        "title": "Confirmer la suppression",
+        "title": "Confirmez la suppression",
         "desc": "Êtes-vous sûr de vouloir supprimer le groupe de caméras <em>{{name}}</em> ?"
       }
     },
     "name": {
-      "placeholder": "Saisissez un nom…",
+      "placeholder": "Saisissez un nom.",
       "label": "Nom",
       "errorMessage": {
         "mustLeastCharacters": "Le nom du groupe de caméras doit comporter au moins 2 caractères.",
         "exists": "Le nom du groupe de caméras existe déjà.",
-        "nameMustNotPeriod": "Le nom de groupe de caméras ne doit pas contenir de période.",
-        "invalid": "Nom de groupe de caméras invalide."
+        "nameMustNotPeriod": "Le nom de groupe de caméras ne doit pas contenir de point.",
+        "invalid": "Nom de groupe de caméras invalide"
       }
     },
     "cameras": {
       "label": "Caméras",
-      "desc": "Sélectionner les caméras pour ce groupe."
+      "desc": "Sélectionnez les caméras pour ce groupe."
     },
     "success": "Le groupe de caméras ({{name}}) a été enregistré.",
     "icon": "Icône",
     "camera": {
       "setting": {
-        "label": "Paramètres de flux de caméra",
-        "title": "Paramètres de flux de {{cameraName}}",
-        "audioIsUnavailable": "L'audio n'est pas disponible pour ce flux",
-        "audioIsAvailable": "L'audio est disponible pour ce flux",
-        "desc": "Modifie les options du flux temps réel pour le tableau de bord de ce groupe de caméras. <em>Ces paramètres sont spécifiques à un périphérique et/ou navigateur.</em>",
+        "label": "Paramètres du flux de la caméra",
+        "title": "Paramètres du flux de {{cameraName}}",
+        "audioIsUnavailable": "L'audio n'est pas disponible pour ce flux.",
+        "audioIsAvailable": "L'audio est disponible pour ce flux.",
+        "desc": "Modifier les options du flux temps réel pour le tableau de bord de ce groupe de caméras. <em>Ces paramètres sont spécifiques à l'appareil ou au navigateur.</em>",
         "audio": {
           "tips": {
             "document": "Lire la documentation ",
@@ -40,32 +40,32 @@
           }
         },
         "streamMethod": {
-          "label": "Méthode de streaming",
+          "label": "Méthode de diffusion",
           "method": {
             "noStreaming": {
-              "label": "Pas de diffusion",
-              "desc": "Les images provenant de la caméra ne seront mises à jour qu'une fois par minute et il n'y aura pas de diffusion en direct."
+              "label": "Aucune diffusion",
+              "desc": "Les images provenant de la caméra ne seront mises à jour qu'une fois par minute et il n'y aura aucune diffusion en direct."
             },
             "smartStreaming": {
-              "label": "Diffusion intelligente (recommandé)",
-              "desc": "La diffusion intelligente mettra à jour les images de la caméra une fois par minute lorsqu'aucune activité n'est détectée afin de conserver la bande-passante et les ressources. Quand une activité est détectée, le flux bascule automatiquement en diffusion temps réel."
+              "label": "Diffusion intelligente (recommandée)",
+              "desc": "La diffusion intelligente mettra à jour l'image de la caméra une fois par minute lorsqu'aucune activité n'est détectée, afin de préserver la bande passante et les ressources. Quand une activité est détectée, l'image bascule automatiquement en flux temps réel."
             },
             "continuousStreaming": {
               "label": "Diffusion en continu",
               "desc": {
                 "title": "L'image de la caméra sera toujours un flux temps réel lorsqu'elle est visible dans le tableau de bord, même si aucune activité n'est détectée.",
-                "warning": "La diffusion en continu peut engendrer une bande-passante élevée et des problèmes de performance. A utiliser avec précaution."
+                "warning": "La diffusion en continu peut entraîner une consommation de bande passante élevée et des problèmes de performance. À utiliser avec prudence."
               }
             }
           },
-          "placeholder": "Choisissez une méthode de diffusion"
+          "placeholder": "Choisissez une méthode de diffusion."
         },
         "compatibilityMode": {
           "label": "Mode de compatibilité",
-          "desc": "Activer cette option uniquement si votre flux temps réel affiche des erreurs chromatiques et a une ligne diagonale sur le côté droit de l'image."
+          "desc": "Activez cette option uniquement si votre flux temps réel affiche des artefacts chromatiques et présente une ligne diagonale sur le côté droit de l'image."
         },
         "stream": "Flux",
-        "placeholder": "Choisissez un flux"
+        "placeholder": "Choisissez un flux."
       },
       "birdseye": "Birdseye"
     }
@@ -80,7 +80,7 @@
       "label": "Paramètres",
       "hideOptions": "Masquer les options"
     },
-    "boundingBox": "Boîte de délimitation",
+    "boundingBox": "Cadre de détection",
     "zones": "Zones",
     "regions": "Régions"
   }
diff --git a/web/public/locales/fr/components/dialog.json b/web/public/locales/fr/components/dialog.json
index 111baf88c..f0b542b70 100644
--- a/web/public/locales/fr/components/dialog.json
+++ b/web/public/locales/fr/components/dialog.json
@@ -2,8 +2,8 @@
   "restart": {
     "title": "Êtes-vous sûr de vouloir redémarrer Frigate ?",
     "restarting": {
-      "title": "Frigate redémarre",
-      "content": "Actualisation de la page dans {{countdown}} secondes.",
+      "title": "Redémarrage de Frigate en cours",
+      "content": "Cette page sera rechargée dans {{countdown}} secondes.",
       "button": "Forcer l'actualisation maintenant"
     },
     "button": "Redémarrer"
@@ -31,10 +31,10 @@
           "submitted": "Soumis"
         },
         "question": {
-          "label": "Confirmez ce libellé pour Frigate+",
-          "ask_an": "Est-ce que cet objet est un(e) <code>{{label}}</code> ?",
-          "ask_a": "Est-ce que cet objet est un(e) <code>{{label}}</code> ?",
-          "ask_full": "Est-ce-que cet objet est un(e) <code>{{translatedLabel}}</code>  ?"
+          "label": "Confirmez cette étiquette pour Frigate+.",
+          "ask_an": "Cet objet est-il un(e) <code>{{label}}</code> ?",
+          "ask_a": "Cet objet est-il un(e) <code>{{label}}</code> ?",
+          "ask_full": "Cet objet est-il un(e) <code>{{translatedLabel}}</code>  ?"
         }
       }
     },
@@ -61,25 +61,26 @@
     "selectOrExport": "Sélectionner ou exporter",
     "toast": {
       "error": {
-        "failed": "Échec du démarrage de l'export : {{error}}",
-        "endTimeMustAfterStartTime": "L'heure de fin doit être postérieure à l'heure de début",
-        "noVaildTimeSelected": "La plage horaire sélectionnée n'est pas valide"
+        "failed": "Échec du démarrage de l'exportation : {{error}}",
+        "endTimeMustAfterStartTime": "L'heure de fin doit être postérieure à l'heure de début.",
+        "noVaildTimeSelected": "La plage horaire sélectionnée n'est pas valide."
       },
-      "success": "Exportation démarrée avec succès. Consultez le fichier dans le dossier /exports."
+      "success": "Exportation démarrée avec succès. Consultez le fichier sur la page des exportations.",
+      "view": "Vue"
     },
     "select": "Sélectionner",
     "name": {
-      "placeholder": "Nommer l'export"
+      "placeholder": "Nommer l'exportation"
     },
     "export": "Exporter",
     "fromTimeline": {
-      "saveExport": "Enregistrer l'export",
-      "previewExport": "Prévisualiser l'export"
+      "saveExport": "Enregistrer l'exportation",
+      "previewExport": "Aperçu de l'exportation"
     }
   },
   "search": {
     "saveSearch": {
-      "desc": "Donnez un nom à cette recherche enregistrée.",
+      "desc": "Saisissez un nom pour cette recherche enregistrée.",
       "label": "Enregistrer la recherche",
       "success": "La recherche ({{searchName}}) a été enregistrée.",
       "button": {
@@ -88,7 +89,7 @@
         }
       },
       "overwrite": "{{searchName}} existe déjà. L'enregistrement écrasera la recherche existante.",
-      "placeholder": "Saisissez un nom pour votre recherche"
+      "placeholder": "Saisissez un nom pour votre recherche."
     }
   },
   "streaming": {
@@ -102,32 +103,34 @@
     },
     "showStats": {
       "label": "Afficher les statistiques du flux",
-      "desc": "Activez cette option pour montrer les statistiques de diffusion en incrustation sur le flux vidéo de la caméra."
+      "desc": "Activez cette option pour afficher les statistiques de diffusion en incrustation sur le flux vidéo de la caméra."
     },
     "debugView": "Affichage de débogage"
   },
   "recording": {
     "confirmDelete": {
       "desc": {
-        "selected": "Êtes-vous sûr(e) de vouloir supprimer toutes les vidéos enregistrées associées à cet élément de la revue d'événements ? <br /><br />Maintenez la touche <em>Maj</em> enfoncée pour éviter cette boîte de dialogue à l'avenir."
+        "selected": "Êtes-vous sûr(e) de vouloir supprimer toutes les vidéos enregistrées associées à cette activité ? <br /><br />Maintenez la touche <em>Maj</em> enfoncée pour éviter cette boîte de dialogue à l'avenir."
       },
       "title": "Confirmer la suppression",
       "toast": {
-        "success": "Les vidéos associées aux éléments de revue d'événements sélectionnés ont été supprimées.",
+        "success": "Les vidéos associées aux activités sélectionnées ont été supprimées.",
         "error": "Échec de la suppression : {{error}}"
       }
     },
     "button": {
       "export": "Exporter",
-      "markAsReviewed": "Marquer comme passé en revue",
-      "deleteNow": "Supprimer maintenant"
+      "markAsReviewed": "Marquer comme traité",
+      "deleteNow": "Supprimer maintenant",
+      "markAsUnreviewed": "Marquer comme non traité"
     }
   },
   "imagePicker": {
-    "selectImage": "Sélectionnez une vignette d'objet suivi",
+    "selectImage": "Sélectionnez une vignette d'objet suivi.",
     "search": {
-      "placeholder": "Chercher par libellé ou sous-libellé..."
+      "placeholder": "Rechercher par étiquette ou sous-étiquette"
     },
-    "noImages": "Aucune vignette trouvée pour cette caméra"
+    "noImages": "Aucune vignette trouvée pour cette caméra",
+    "unknownLabel": "Image de déclencheur enregistrée"
   }
 }
diff --git a/web/public/locales/fr/components/filter.json b/web/public/locales/fr/components/filter.json
index 58a03de93..0af924f8b 100644
--- a/web/public/locales/fr/components/filter.json
+++ b/web/public/locales/fr/components/filter.json
@@ -1,13 +1,13 @@
 {
   "labels": {
-    "label": "Libellés",
+    "label": "Étiquettes",
     "all": {
-      "title": "Tous les libellés",
-      "short": "Libellés"
+      "title": "Toutes les étiquettes",
+      "short": "Étiquettes"
     },
     "count": "{{count}} Étiquettes",
-    "count_one": "{{count}} libellé",
-    "count_other": "{{count}} libellés"
+    "count_one": "{{count}} étiquette",
+    "count_other": "{{count}} étiquettes"
   },
   "filter": "Filtre",
   "zones": {
@@ -22,16 +22,16 @@
       "title": "Toutes les dates",
       "short": "Dates"
     },
-    "selectPreset": "Sélectionnez un préréglage…"
+    "selectPreset": "Sélectionnez un préréglage."
   },
   "more": "Plus de filtres",
   "reset": {
     "label": "Réinitialiser les filtres aux valeurs par défaut"
   },
-  "timeRange": "Plage de temps",
+  "timeRange": "Plage horaire",
   "subLabels": {
-    "label": "Sous-libellés",
-    "all": "Tous les sous-libellés"
+    "label": "Sous-étiquettes",
+    "all": "Toutes les sous-étiquettes"
   },
   "score": "Score",
   "estimatedSpeed": "Vitesse estimée ({{unit}})",
@@ -50,9 +50,9 @@
       "tips": "Vous devez d'abord filtrer les objets suivis qui ont un instantané.<br /><br />Les objets suivis sans instantané ne peuvent pas être soumis à Frigate+.",
       "label": "Soumis à Frigate+"
     },
-    "hasVideoClip": "A un clip vidéo",
-    "hasSnapshot": "A un instantané",
-    "label": "Fonctionnalités"
+    "hasVideoClip": "Avec une séquence vidéo",
+    "hasSnapshot": "Avec un instantané",
+    "label": "Caractéristiques"
   },
   "explore": {
     "settings": {
@@ -61,7 +61,7 @@
         "title": "Vue par défaut",
         "summary": "Résumé",
         "unfilteredGrid": "Grille non filtrée",
-        "desc": "Lorsqu'aucun filtre n'est sélectionné, affiche un résumé des objets suivis les plus récents par libellé, ou affiche une grille non filtrée."
+        "desc": "Lorsqu'aucun filtre n'est sélectionné, afficher un résumé des objets suivis les plus récents par étiquette, ou afficher une grille non filtrée"
       },
       "gridColumns": {
         "desc": "Sélectionner le nombre de colonnes dans la vue grille.",
@@ -70,7 +70,7 @@
       "searchSource": {
         "label": "Source de recherche",
         "options": {
-          "thumbnailImage": "Image de miniature",
+          "thumbnailImage": "Miniature",
           "description": "Description"
         },
         "desc": "Choisissez si vous souhaitez rechercher les miniatures ou les descriptions de vos objets suivis."
@@ -83,7 +83,7 @@
     }
   },
   "review": {
-    "showReviewed": "Montrer les éléments passés en revue"
+    "showReviewed": "Afficher les activités traitées"
   },
   "cameras": {
     "label": "Filtre des caméras",
@@ -101,27 +101,27 @@
       "title": "Chargement",
       "desc": "Lorsque le volet de journalisation est défilé jusqu'en bas, les nouveaux enregistrements s'affichent automatiquement au fur et à mesure qu'ils sont ajoutés."
     },
-    "label": "Niveau de journalisation du filtre",
-    "disableLogStreaming": "Désactiver la diffusion des journaux",
+    "label": "Filtrer par niveau de journal",
+    "disableLogStreaming": "Désactiver le flux des journaux",
     "allLogs": "Tous les journaux"
   },
   "recognizedLicensePlates": {
-    "placeholder": "Tapez pour rechercher des plaques d'immatriculation…",
-    "noLicensePlatesFound": "Aucune plaque d'immatriculation trouvée.",
+    "placeholder": "Tapez pour rechercher des plaques d'immatriculation.",
+    "noLicensePlatesFound": "Aucune plaque d'immatriculation trouvée",
     "loading": "Chargement des plaques d'immatriculation reconnues…",
     "title": "Plaques d'immatriculation reconnues",
     "loadFailed": "Échec du chargement des plaques d'immatriculation reconnues.",
-    "selectPlatesFromList": "Sélectionner une ou plusieurs plaques d'immatriculation dans la liste.",
+    "selectPlatesFromList": "Sélectionnez une ou plusieurs plaques d'immatriculation dans la liste.",
     "selectAll": "Tout sélectionner",
-    "clearAll": "Tout effacer"
+    "clearAll": "Tout désélectionner"
   },
   "trackedObjectDelete": {
     "title": "Confirmer la suppression",
     "toast": {
-      "success": "Les objets suivis ont été supprimés avec succès.",
+      "success": "Objets suivis supprimés avec succès.",
       "error": "Échec de la suppression des objets suivis : {{errorMessage}}"
     },
-    "desc": "Supprimer ces objets suivis {{objectLength}} retirera l'instantané, les représentations numériques enregistrées et les entrées du cycle de vie de l'objet associées. Les séquences enregistrées de ces objets suivis dans la vue Historique <em>NE</em> seront <em>PAS</em> supprimées.<br /><br />Voulez-vous vraiment continuer ?<br /><br />Maintenez la touche <em>Maj</em> enfoncée pour ignorer cette boîte de dialogue à l'avenir."
+    "desc": "La suppression de ces {{objectLength}} objets suivis retirera l'instantané, les embeddings enregistrés et les entrées du cycle de vie de l'objet associées. Les séquences enregistrées de ces objets suivis dans la vue Chronologie <em>NE</em> seront <em>PAS</em> supprimées.<br /><br />Voulez-vous vraiment continuer?<br /><br />Maintenez la touche <em>Maj</em> enfoncée pour ignorer cette boîte de dialogue à l'avenir."
   },
   "zoneMask": {
     "filterBy": "Filtrer par masque de zone"
@@ -133,5 +133,9 @@
     },
     "count_one": "{{count}} classe",
     "count_other": "{{count}} classes"
+  },
+  "attributes": {
+    "label": "Attributs de classification",
+    "all": "Tous les attributs"
   }
 }
diff --git a/web/public/locales/fr/components/icons.json b/web/public/locales/fr/components/icons.json
index f713f2f52..fd5f1f8f6 100644
--- a/web/public/locales/fr/components/icons.json
+++ b/web/public/locales/fr/components/icons.json
@@ -1,8 +1,8 @@
 {
   "iconPicker": {
     "search": {
-      "placeholder": "Rechercher une icône…"
+      "placeholder": "Rechercher une icône"
     },
-    "selectIcon": "Sélectionnez une icône"
+    "selectIcon": "Sélectionnez une icône."
   }
 }
diff --git a/web/public/locales/fr/components/input.json b/web/public/locales/fr/components/input.json
index 36874788e..0d8130cf5 100644
--- a/web/public/locales/fr/components/input.json
+++ b/web/public/locales/fr/components/input.json
@@ -3,7 +3,7 @@
     "downloadVideo": {
       "label": "Télécharger la vidéo",
       "toast": {
-        "success": "Le téléchargement de la vidéo de votre élément de la revue d'événements a commencé."
+        "success": "Le téléchargement de la vidéo a commencé."
       }
     }
   }
diff --git a/web/public/locales/fr/components/player.json b/web/public/locales/fr/components/player.json
index 7dd7346e5..6450c1261 100644
--- a/web/public/locales/fr/components/player.json
+++ b/web/public/locales/fr/components/player.json
@@ -10,8 +10,8 @@
     "title": "Flux hors ligne",
     "desc": "Aucune image n'a été reçue sur le flux de <code>détection</code> de la caméra {{cameraName}}. Vérifiez le journal d'erreurs."
   },
-  "livePlayerRequiredIOSVersion": "iOS 17.1 ou une version supérieure est requis pour ce type de flux en direct.",
-  "cameraDisabled": "La caméra est désactivée",
+  "livePlayerRequiredIOSVersion": "iOS 17.1 ou une version supérieure est requise pour ce type de flux en direct.",
+  "cameraDisabled": "La caméra est désactivée.",
   "stats": {
     "streamType": {
       "title": "Type de flux :",
@@ -37,7 +37,7 @@
       "title": "Images perdues :"
     },
     "decodedFrames": "Images décodées :",
-    "droppedFrameRate": "Proportion d'images perdues :",
+    "droppedFrameRate": "Taux d'images perdues :",
     "totalFrames": "Total images :"
   },
   "toast": {
diff --git a/web/public/locales/fr/objects.json b/web/public/locales/fr/objects.json
index d959a8e42..9c9d5a6cf 100644
--- a/web/public/locales/fr/objects.json
+++ b/web/public/locales/fr/objects.json
@@ -9,17 +9,17 @@
   "boat": "Bateau",
   "traffic_light": "Feu de circulation",
   "fire_hydrant": "Bouche d'incendie",
-  "street_sign": "Plaque de rue",
+  "street_sign": "Panneau de signalisation",
   "parking_meter": "Parcmètre",
   "bench": "Banc",
   "bird": "Oiseau",
-  "cat": "chat",
+  "cat": "Chat",
   "stop_sign": "Panneau de stop",
   "dog": "Chien",
   "horse": "Cheval",
   "sheep": "Mouton",
   "cow": "Vache",
-  "elephant": "Eléphant",
+  "elephant": "Éléphant",
   "bear": "Ours",
   "zebra": "Zèbre",
   "hat": "Chapeau",
@@ -27,10 +27,10 @@
   "suitcase": "Valise",
   "frisbee": "Frisbee",
   "skis": "Skis",
-  "snowboard": "Surf des neiges",
-  "sports_ball": "Ballon des sports",
+  "snowboard": "Snowboard",
+  "sports_ball": "Ballon de sport",
   "kite": "Cerf-volant",
-  "baseball_bat": "Batte de base-ball",
+  "baseball_bat": "Batte de baseball",
   "umbrella": "Parapluie",
   "giraffe": "Girafe",
   "eye_glasses": "Lunettes",
@@ -42,7 +42,7 @@
   "baseball_glove": "Gant de baseball",
   "skateboard": "Skateboard",
   "surfboard": "Planche de surf",
-  "tennis_racket": "Raquette de Tennis",
+  "tennis_racket": "Raquette de tennis",
   "plate": "Assiette",
   "cup": "Tasse",
   "banana": "Banane",
@@ -63,7 +63,7 @@
   "toaster": "Grille-pain",
   "book": "Livre",
   "teddy_bear": "Ours en peluche",
-  "blender": "Mixer",
+  "blender": "Mixeur",
   "toothbrush": "Brosse à dents",
   "hair_brush": "Brosse à cheveux",
   "vehicle": "Véhicule",
@@ -92,7 +92,7 @@
   "refrigerator": "Réfrigérateur",
   "bark": "Aboiement",
   "oven": "Four",
-  "scissors": "Paire de ciseaux",
+  "scissors": "Ciseaux",
   "toilet": "Toilettes",
   "carrot": "Carotte",
   "bed": "Lit",
@@ -100,11 +100,11 @@
   "fork": "Fourchette",
   "squirrel": "Écureuil",
   "microwave": "Micro-ondes",
-  "hair_dryer": "Sèche cheveux",
+  "hair_dryer": "Sèche-cheveux",
   "bowl": "Bol",
   "spoon": "Cuillère",
   "sandwich": "Sandwich",
-  "sink": "Lavabo",
+  "sink": "Évier",
   "broccoli": "Brocoli",
   "knife": "Couteau",
   "nzpost": "NZPost",
diff --git a/web/public/locales/fr/views/classificationModel.json b/web/public/locales/fr/views/classificationModel.json
new file mode 100644
index 000000000..0926f4cd6
--- /dev/null
+++ b/web/public/locales/fr/views/classificationModel.json
@@ -0,0 +1,193 @@
+{
+  "documentTitle": "Modèles de classification - Frigate",
+  "button": {
+    "deleteClassificationAttempts": "Supprimer les images de classification",
+    "renameCategory": "Renommer la classe",
+    "deleteCategory": "Supprimer la classe",
+    "deleteImages": "Supprimer les images",
+    "trainModel": "Entraîner le modèle",
+    "addClassification": "Ajouter une classification",
+    "deleteModels": "Supprimer les modèles",
+    "editModel": "Modifier le modèle"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Classe supprimée",
+      "deletedImage": "Images supprimées",
+      "categorizedImage": "Image classifiée avec succès",
+      "trainedModel": "Modèle entraîné avec succès.",
+      "trainingModel": "L'entraînement du modèle a démarré avec succès.",
+      "deletedModel_one": "{{count}} modèle supprimé avec succès",
+      "deletedModel_many": "{{count}} modèles supprimés avec succès",
+      "deletedModel_other": "{{count}} modèles supprimés avec succès",
+      "updatedModel": "Configuration du modèle mise à jour avec succès",
+      "renamedCategory": "Classe renommée en {{name}} avec succès"
+    },
+    "error": {
+      "deleteImageFailed": "Échec de la suppression : {{errorMessage}}",
+      "deleteCategoryFailed": "Échec de la suppression de la classe : {{errorMessage}}",
+      "categorizeFailed": "Échec de la catégorisation de l'image : {{errorMessage}}",
+      "trainingFailed": "L'entraînement du modèle a échoué. Consultez les journaux de Frigate pour plus de détails.",
+      "deleteModelFailed": "Impossible de supprimer le modèle : {{errorMessage}}",
+      "updateModelFailed": "Impossible de mettre à jour le modèle : {{errorMessage}}",
+      "renameCategoryFailed": "Impossible de renommer la classe : {{errorMessage}}",
+      "trainingFailedToStart": "Impossible de démarrer l'entraînement du modèle : {{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "Supprimer la classe",
+    "desc": "Êtes-vous sûr de vouloir supprimer la classe {{name}} ? Cette action supprimera définitivement toutes les images associées et nécessitera un réentraînement du modèle.",
+    "minClassesTitle": "Impossible de supprimer la classe",
+    "minClassesDesc": "Un modèle de classification doit avoir au moins 2 classes. Ajoutez une autre classe avant de supprimer celle-ci."
+  },
+  "deleteDatasetImages": {
+    "title": "Supprimer les images du jeu de données",
+    "desc_one": "Êtes-vous sûr de vouloir supprimer {{count}} image du jeu de données {{dataset}} ? Cette action est irréversible et nécessitera un réentraînement du modèle.",
+    "desc_many": "Êtes-vous sûr de vouloir supprimer {{count}} images du jeu de données {{dataset}} ? Cette action est irréversible et nécessitera un réentraînement du modèle.",
+    "desc_other": "Êtes-vous sûr de vouloir supprimer {{count}} images du jeu de données {{dataset}} ? Cette action est irréversible et nécessitera un réentraînement du modèle."
+  },
+  "deleteTrainImages": {
+    "title": "Supprimer les images d'entraînement",
+    "desc_one": "Êtes-vous sûr de vouloir supprimer {{count}} image ? Cette action est irréversible.",
+    "desc_many": "Êtes-vous sûr de vouloir supprimer {{count}} images ? Cette action est irréversible.",
+    "desc_other": "Êtes-vous sûr de vouloir supprimer {{count}} images ? Cette action est irréversible."
+  },
+  "renameCategory": {
+    "title": "Renommer la classe",
+    "desc": "Saisissez un nouveau nom pour {{name}}. Vous devrez réentraîner le modèle pour que le changement de nom prenne effet."
+  },
+  "description": {
+    "invalidName": "Nom invalide. Les noms ne peuvent contenir que des lettres, des chiffres, des espaces, des apostrophes, des traits de soulignement et des tirets."
+  },
+  "train": {
+    "title": "Classifications récentes",
+    "aria": "Sélectionner des classifications récentes",
+    "titleShort": "Récent"
+  },
+  "categories": "Classes",
+  "createCategory": {
+    "new": "Créer une nouvelle classe"
+  },
+  "categorizeImageAs": "Classifier comme :",
+  "categorizeImage": "Classifier l'image",
+  "noModels": {
+    "object": {
+      "title": "Aucun modèle de classification d'objets",
+      "description": "Créer un modèle personnalisé pour classifier les objets détectés",
+      "buttonText": "Créer un modèle d'objets"
+    },
+    "state": {
+      "title": "Aucun modèle de classification d'états",
+      "description": "Créer un modèle personnalisé pour surveiller et classifier les changements d'état dans des zones de caméra spécifiques",
+      "buttonText": "Créer un modèle d'états"
+    }
+  },
+  "wizard": {
+    "title": "Créer une nouvelle classification",
+    "steps": {
+      "nameAndDefine": "Nom et définition",
+      "stateArea": "Zone d'état",
+      "chooseExamples": "Choisir des exemples"
+    },
+    "step1": {
+      "description": "Les modèles d'état surveillent des zones de caméra fixes pour détecter des changements (par ex., porte ouverte/fermée). Les modèles d'objets ajoutent des classifications aux objets détectés (par ex., animaux connus, livreurs, etc.).",
+      "name": "Nom",
+      "namePlaceholder": "Saisissez un nom de modèle.",
+      "type": "Type",
+      "typeState": "État",
+      "typeObject": "Objet",
+      "objectLabel": "Étiquette d'objet",
+      "objectLabelPlaceholder": "Sélectionnez un type d'objet.",
+      "classificationType": "Type de classification",
+      "classificationTypeTip": "En savoir plus sur les types de classification",
+      "classificationTypeDesc": "Les sous-étiquettes ajoutent du texte supplémentaire à l'étiquette d'objet (par ex., « Personne : UPS »). Les attributs sont des métadonnées recherchables stockées séparément dans les métadonnées de l'objet.",
+      "classificationSubLabel": "Sous-étiquette",
+      "classificationAttribute": "Attribut",
+      "classes": "Classes",
+      "classesTip": "En savoir plus sur les classes",
+      "classesStateDesc": "Définissez les différents états que votre zone de caméra peut avoir. Par exemple : « ouvert » et « fermé » pour une porte de garage.",
+      "classesObjectDesc": "Définissez les différentes catégories pour classifier les objets détectés. Par exemple : « livreur », « résident », « inconnu » pour la classification des personnes.",
+      "classPlaceholder": "Saisissez le nom de la classe.",
+      "errors": {
+        "nameRequired": "Le nom du modèle est requis.",
+        "nameLength": "Le nom du modèle ne doit pas dépasser 64 caractères.",
+        "nameOnlyNumbers": "Le nom du modèle ne peut pas contenir uniquement des chiffres.",
+        "classRequired": "Au moins une classe est requise.",
+        "classesUnique": "Les noms de classe doivent être uniques.",
+        "stateRequiresTwoClasses": "Les modèles d'état nécessitent au moins deux classes.",
+        "objectLabelRequired": "Veuillez sélectionner une étiquette d'objet.",
+        "objectTypeRequired": "Veuillez sélectionner un type de classification.",
+        "noneNotAllowed": "La classe 'aucun' n'est pas autorisée."
+      },
+      "states": "États"
+    },
+    "step2": {
+      "description": "Sélectionnez les caméras et définissez la zone à surveiller pour chaque caméra. Le modèle classifiera l'état de ces zones.",
+      "cameras": "Caméras",
+      "selectCamera": "Sélectionner une caméra",
+      "noCameras": "Cliquez sur + pour ajouter des caméras.",
+      "selectCameraPrompt": "Sélectionnez une caméra dans la liste pour définir sa zone de surveillance."
+    },
+    "step3": {
+      "selectImagesPrompt": "Sélectionner toutes les images contenant : {{className}}",
+      "selectImagesDescription": "Cliquez sur les images pour les sélectionner. Cliquez sur Continuer lorsque vous avez terminé avec cette classe.",
+      "generating": {
+        "title": "Génération d'images d'exemple en cours",
+        "description": "Frigate récupère des images représentatives à partir de vos enregistrements. Cela peut prendre un moment..."
+      },
+      "training": {
+        "title": "Entraînement du modèle",
+        "description": "Votre modèle est en cours d'entraînement en arrière-plan. Fermez cette boîte de dialogue. Votre modèle se lancera dès que l'entraînement sera terminé."
+      },
+      "retryGenerate": "Réessayer la génération",
+      "noImages": "Aucune image d'exemple générée",
+      "classifying": "Classification et entraînement en cours...",
+      "trainingStarted": "Entraînement démarré avec succès",
+      "errors": {
+        "noCameras": "Aucune caméra n'est configurée.",
+        "noObjectLabel": "Aucune étiquette d'objet sélectionnée",
+        "generateFailed": "Échec de la génération des exemples : {{error}}",
+        "generationFailed": "Échec de la génération. Veuillez réessayer.",
+        "classifyFailed": "Échec de la classification des images : {{error}}"
+      },
+      "generateSuccess": "Génération des images d'exemple réussie",
+      "allImagesRequired_one": "Veuillez classifier toutes les images. {{count}} image restante.",
+      "allImagesRequired_many": "Veuillez classifier toutes les images. {{count}} images restantes.",
+      "allImagesRequired_other": "Veuillez classifier toutes les images. {{count}} images restantes.",
+      "modelCreated": "Modèle créé avec succès. Utilisez la vue Classifications récentes pour ajouter des images pour les états manquants, puis entraînez le modèle.",
+      "missingStatesWarning": {
+        "title": "Exemples d'états manquants",
+        "description": "Pour des résultats optimaux, il est recommandé de sélectionner des exemples pour tous les états. Vous pouvez continuer sans cette étape, mais le modèle ne sera entraîné que lorsque chaque état disposera d'images. Continuez, puis utilisez la vue Classifications récentes pour classer les images manquantes et lancer l'entraînement."
+      }
+    }
+  },
+  "deleteModel": {
+    "title": "Supprimer le modèle de classification",
+    "single": "Voulez-vous vraiment supprimer {{name}} ? Cela supprimera définitivement toutes les données associées, y compris les images et les données d'entraînement. Cette action est irréversible.",
+    "desc_one": "Voulez-vous vraiment supprimer {{count}} modèle ? Cela supprimera définitivement toutes les données associées, y compris les images et les données d'entraînement. Cette action est irréversible.",
+    "desc_many": "Voulez-vous vraiment supprimer {{count}} modèles ? Cela supprimera définitivement toutes les données associées, y compris les images et les données d'entraînement. Cette action est irréversible.",
+    "desc_other": "Voulez-vous vraiment supprimer {{count}} modèles ? Cela supprimera définitivement toutes les données associées, y compris les images et les données d'entraînement. Cette action est irréversible."
+  },
+  "menu": {
+    "objects": "Objets",
+    "states": "États"
+  },
+  "details": {
+    "scoreInfo": "Le score représente la moyenne de la confiance de classification pour toutes les détections de cet objet.",
+    "none": "Aucun",
+    "unknown": "Inconnu"
+  },
+  "edit": {
+    "title": "Modifier le modèle de classification",
+    "descriptionState": "Modifier les classes pour ce modèle de classification d'état. Les modifications nécessiteront un réentraînement du modèle.",
+    "descriptionObject": "Modifier le type d'objet et le type de classification pour ce modèle de classification d'objet",
+    "stateClassesInfo": "Note : La modification des classes d'état nécessite un réentraînement du modèle avec les classes mises à jour."
+  },
+  "tooltip": {
+    "trainingInProgress": "Modèle en cours d'entraînement",
+    "noNewImages": "Aucune nouvelle image pour l'entraînement. Veuillez d'abord classifier plus d'images dans le jeu de données.",
+    "modelNotReady": "Le modèle n'est pas prêt pour l'entraînement.",
+    "noChanges": "Aucune modification du jeu de données depuis le dernier entraînement"
+  },
+  "none": "Aucun"
+}
diff --git a/web/public/locales/fr/views/configEditor.json b/web/public/locales/fr/views/configEditor.json
index ce4c3292e..0ab9b2c40 100644
--- a/web/public/locales/fr/views/configEditor.json
+++ b/web/public/locales/fr/views/configEditor.json
@@ -2,7 +2,7 @@
   "configEditor": "Éditeur de configuration",
   "documentTitle": "Éditeur de configuration - Frigate",
   "copyConfig": "Copier la configuration",
-  "saveOnly": "Enregistrer seulement",
+  "saveOnly": "Enregistrer uniquement",
   "saveAndRestart": "Enregistrer et redémarrer",
   "toast": {
     "success": {
diff --git a/web/public/locales/fr/views/events.json b/web/public/locales/fr/views/events.json
index cf4f5e142..6baaf9b93 100644
--- a/web/public/locales/fr/views/events.json
+++ b/web/public/locales/fr/views/events.json
@@ -2,22 +2,26 @@
   "detections": "Détections",
   "motion": {
     "label": "Mouvement",
-    "only": "Mouvement seulement"
+    "only": "Mouvement uniquement"
   },
   "alerts": "Alertes",
   "allCameras": "Toutes les caméras",
   "empty": {
-    "alert": "Il n'y a aucune alerte à passer en revue",
-    "detection": "Il n'y a aucune détection à passer en revue",
-    "motion": "Aucune donnée de mouvement trouvée"
+    "alert": "Aucune alerte à traiter",
+    "detection": "Aucune détection à traiter",
+    "motion": "Aucune donnée de mouvement trouvée",
+    "recordingsDisabled": {
+      "title": "Les enregistrements doivent être activés.",
+      "description": "Les activités ne peuvent être générées pour une caméra que si l'enregistrement est activé pour celle-ci."
+    }
   },
   "timeline": "Chronologie",
   "events": {
     "label": "Événements",
     "aria": "Sélectionner les événements",
-    "noFoundForTimePeriod": "Aucun événement trouvé pour cette plage de temps."
+    "noFoundForTimePeriod": "Aucun événement n'a été trouvé pour cette plage de temps."
   },
-  "documentTitle": "Revue d'événements -Frigate",
+  "documentTitle": "Activités - Frigate",
   "recordings": {
     "documentTitle": "Enregistrements - Frigate"
   },
@@ -25,17 +29,40 @@
     "last24Hours": "Dernières 24 heures"
   },
   "timeline.aria": "Sélectionner une chronologie",
-  "markAsReviewed": "Marqué comme passé en revue",
+  "markAsReviewed": "Marquer comme traitê",
   "newReviewItems": {
-    "button": "Nouveaux éléments à passer en revue",
-    "label": "Afficher les nouveaux éléments de la revue d'événements"
+    "button": "Nouvelles activités à traiter",
+    "label": "Afficher les nouvelles activités"
   },
   "camera": "Caméra",
-  "markTheseItemsAsReviewed": "Marquer ces éléments comme passés en revue",
+  "markTheseItemsAsReviewed": "Marquer ces activités comme traitées",
   "selected": "{{count}} sélectionné(s)",
   "selected_other": "{{count}} sélectionné(s)",
   "selected_one": "{{count}} sélectionné(s)",
   "detected": "détecté",
   "suspiciousActivity": "Activité suspecte",
-  "threateningActivity": "Activité menaçante"
+  "threateningActivity": "Activité menaçante",
+  "detail": {
+    "noDataFound": "Aucun détail à traiter",
+    "aria": "Activer/désactiver la vue détaillée",
+    "trackedObject_one": "{{count}} objet",
+    "trackedObject_other": "{{count}} objets",
+    "noObjectDetailData": "Aucun détail d'objet disponible",
+    "label": "Détail",
+    "settings": "Paramètres de la vue Détail",
+    "alwaysExpandActive": {
+      "title": "Toujours développer l'élément actif",
+      "desc": "Toujours développer les détails de l'objet pour l'activité en cours"
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Point suivi",
+    "clickToSeek": "Cliquez pour atteindre ce moment."
+  },
+  "zoomIn": "Zoom avant",
+  "zoomOut": "Zoom arrière",
+  "normalActivity": "Normal",
+  "needsReview": "À traiter",
+  "securityConcern": "Problème de sécurité",
+  "select_all": "Tous"
 }
diff --git a/web/public/locales/fr/views/explore.json b/web/public/locales/fr/views/explore.json
index 064a71a37..637936450 100644
--- a/web/public/locales/fr/views/explore.json
+++ b/web/public/locales/fr/views/explore.json
@@ -5,17 +5,17 @@
     "title": "L'exploration est indisponible",
     "embeddingsReindexing": {
       "estimatedTime": "Temps restant estimé :",
-      "finishingShortly": "Termine bientôt",
-      "context": "L'exploration peut être utilisée une fois la réindexation des représentations numériques des objets suivis terminée.",
+      "finishingShortly": "Bientôt fini",
+      "context": "L'exploration peut être utilisée une fois la réindexation des embeddings des objets suivis terminée.",
       "startingUp": "Démarrage…",
       "step": {
-        "thumbnailsEmbedded": "Miniatures intégrées : ",
-        "descriptionsEmbedded": "Descriptions intégrées : ",
+        "thumbnailsEmbedded": "Embeddings des miniatures : ",
+        "descriptionsEmbedded": "Embeddings des descriptions  : ",
         "trackedObjectsProcessed": "Objets suivis traités : "
       }
     },
     "downloadingModels": {
-      "context": "Frigate télécharge les modèles de représentations numériques nécessaires pour prendre en charge la fonctionnalité de recherche sémantique. Cette opération peut prendre plusieurs minutes selon la vitesse de votre connexion réseau.",
+      "context": "Frigate télécharge les modèles d'embeddings nécessaires pour prendre en charge la fonctionnalité de recherche sémantique. Cette opération peut prendre plusieurs minutes selon la vitesse de votre connexion réseau.",
       "setup": {
         "visionModelFeatureExtractor": "Extracteur de caractéristiques de modèle de vision",
         "textTokenizer": "Tokeniseur de texte",
@@ -24,50 +24,52 @@
       },
       "tips": {
         "documentation": "Lire la documentation",
-        "context": "Une fois les modèles téléchargés, il est conseillé de réindexer vos objets suivis."
+        "context": "Une fois les modèles téléchargés, il est conseillé de réindexer les embeddings de vos objets suivis."
       },
-      "error": "Une erreur est survenue. Vérifier les journaux Frigate."
+      "error": "Une erreur est survenue. Vérifiez les journaux Frigate."
     }
   },
   "details": {
     "timestamp": "Horodatage",
     "item": {
-      "title": "Détails de l'élément de la revue d'événements",
+      "title": "Détails de l'activité",
       "button": {
-        "share": "Partager cet élément de la revue d'événements",
+        "share": "Partager cette activité",
         "viewInExplore": "Afficher dans Explorer"
       },
       "toast": {
         "success": {
           "regenerate": "Une nouvelle description a été demandée à {{provider}}. Selon la vitesse de votre fournisseur, la régénération de la nouvelle description peut prendre un certain temps.",
-          "updatedSublabel": "Sous-libellé mis à jour avec succès.",
-          "updatedLPR": "Plaque d'immatriculation mise à jour avec succès.",
-          "audioTranscription": "Requête de la transcription audio réussie."
+          "updatedSublabel": "Sous-étiquette mise à jour avec succès",
+          "updatedLPR": "Plaque d'immatriculation mise à jour avec succès",
+          "audioTranscription": "Transcription audio demandée avec succès. Selon la vitesse de votre serveur Frigate, la transcription peut prendre un certain temps.",
+          "updatedAttributes": "Attributs mis à jour avec succès"
         },
         "error": {
           "regenerate": "Échec de l'appel de {{provider}} pour une nouvelle description : {{errorMessage}}",
-          "updatedSublabelFailed": "Échec de la mise à jour du sous-libellé : {{errorMessage}}",
+          "updatedSublabelFailed": "Échec de la mise à jour de la sous-étiquette : {{errorMessage}}",
           "updatedLPRFailed": "Échec de la mise à jour de la plaque d'immatriculation : {{errorMessage}}",
-          "audioTranscription": "Échec de la requête de transcription audio : {{errorMessage}}"
+          "audioTranscription": "Échec de la demande de transcription audio : {{errorMessage}}",
+          "updatedAttributesFailed": "Échec de la mise à jour des attributs  : {{errorMessage}}"
         }
       },
       "tips": {
-        "mismatch_one": "{{count}} objet indisponible a été détecté et intégré dans cet élément de la revue d'événements. Cet objet n'a pas été qualifié comme une alerte ou une détection, ou a déjà été nettoyé / supprimé.",
-        "mismatch_many": "{{count}} objets indisponibles ont été détectés et intégrés dans cet élément de la revue d'événements. Ces objets n'ont pas été qualifiés comme une alerte ou une détection, ou ont déjà été nettoyés / supprimés.",
-        "mismatch_other": "{{count}} objets indisponibles ont été détectés et intégrés dans cet élément de la revue d'événements. Ces objets n'ont pas été qualifiés comme une alerte ou une détection, ou ont déjà été nettoyés / supprimés.",
-        "hasMissingObjects": "Ajustez votre configuration si vous souhaitez que Frigate enregistre les objets suivis pour les libellés suivants : <em>{{objects}}</em>"
+        "mismatch_one": "{{count}} objet indisponible a été détecté et intégré dans cette activité. Cet objet n'a pas été qualifié comme une alerte ou une détection, ou a déjà été nettoyé / supprimé.",
+        "mismatch_many": "{{count}} objets indisponibles ont été détectés et intégrés dans cette activité. Ces objets n'ont pas été qualifiés comme une alerte ou une détection, ou ont déjà été nettoyés / supprimés.",
+        "mismatch_other": "{{count}} objets indisponibles ont été détectés et intégrés dans cette activité. Ces objets n'ont pas été qualifiés comme une alerte ou une détection, ou ont déjà été nettoyés / supprimés.",
+        "hasMissingObjects": "Ajustez votre configuration si vous souhaitez que Frigate enregistre les objets suivis pour les étiquettes suivantes : <em>{{objects}}</em>"
       },
-      "desc": "Détails de l'élément de la revue d'événements"
+      "desc": "Détails de l'activité"
     },
-    "label": "Libellé",
+    "label": "Étiquette",
     "editSubLabel": {
-      "title": "Modifier le sous-libellé",
-      "desc": "Saisissez un nouveau sous-libellé pour {{label}}",
-      "descNoLabel": "Entrer un nouveau sous-libellé pour cet objet suivi"
+      "title": "Modifier la sous-étiquette",
+      "desc": "Saisissez une nouvelle sous-étiquette pour {{label}}.",
+      "descNoLabel": "Saisissez une nouvelle sous-étiquette pour cet objet suivi."
     },
     "topScore": {
       "label": "Meilleur score",
-      "info": "Le score le plus élevé est le score médian le plus haut pour l'objet suivi ; il peut donc différer du score affiché sur la miniature du résultat de recherche."
+      "info": "Le meilleur score correspond au score médian le plus élevé de l'objet suivi, il peut donc différer du score affiché sur la miniature du résultat de recherche."
     },
     "objects": "Objets",
     "button": {
@@ -86,8 +88,8 @@
     "regenerateFromThumbnails": "Générer à nouveau à partir des miniatures",
     "editLPR": {
       "title": "Modifier la plaque d'immatriculation",
-      "desc": "Saisissez une nouvelle valeur de plaque d'immatriculation pour {{label}}",
-      "descNoLabel": "Saisir une nouvelle valeur de plaque d'immatriculation pour cet objet suivi"
+      "desc": "Saisissez une nouvelle valeur de plaque d'immatriculation pour {{label}}.",
+      "descNoLabel": "Saisissez une nouvelle valeur de plaque d'immatriculation pour cet objet suivi."
     },
     "recognizedLicensePlate": "Plaque d'immatriculation reconnue",
     "estimatedSpeed": "Vitesse estimée",
@@ -103,13 +105,23 @@
     },
     "score": {
       "label": "Score"
+    },
+    "editAttributes": {
+      "title": "Modifier les attributs",
+      "desc": "Sélectionnez les attributs de classification pour : {{label}}"
+    },
+    "attributes": "Attributs de classification",
+    "title": {
+      "label": "Titre"
     }
   },
   "type": {
     "details": "détails",
     "video": "vidéo",
     "object_lifecycle": "cycle de vie de l'objet",
-    "snapshot": "instantané"
+    "snapshot": "instantané",
+    "thumbnail": "Miniature",
+    "tracking_details": "Détails du suivi"
   },
   "objectLifecycle": {
     "title": "Cycle de vie de l'objet",
@@ -120,8 +132,8 @@
     "autoTrackingTips": "Les positions des cadres englobants seront imprécises pour les caméras à suivi automatique.",
     "lifecycleItemDesc": {
       "visible": "{{label}} détecté",
-      "entered_zone": "{{label}} est entré dans {{zones}}",
-      "stationary": "{{label}} est devenu stationnaire",
+      "entered_zone": "{{label}} est entré dans {{zones}}.",
+      "stationary": "{{label}} est devenu stationnaire.",
       "attribute": {
         "other": "{{label}} reconnu comme {{attribute}}",
         "faceOrLicense_plate": "{{attribute}} détecté pour {{label}}"
@@ -129,7 +141,7 @@
       "gone": "{{label}} parti",
       "heard": "{{label}} entendu",
       "external": "{{label}} détecté",
-      "active": "{{label}} est devenu actif",
+      "active": "{{label}} est devenu actif.",
       "header": {
         "zones": "Zones",
         "area": "Aire",
@@ -139,7 +151,7 @@
     "annotationSettings": {
       "title": "Paramètres d'annotation",
       "showAllZones": {
-        "title": "Montrer toutes les zones",
+        "title": "Afficher toutes les zones",
         "desc": "Afficher systématiquement les zones sur les images quand des objets y sont entrés"
       },
       "offset": {
@@ -175,8 +187,8 @@
       "label": "Visualiser le cycle de vie de l'objet"
     },
     "viewInHistory": {
-      "label": "Afficher dans l'historique",
-      "aria": "Afficher dans l'historique"
+      "label": "Afficher dans la chronologie",
+      "aria": "Afficher dans la chronologie"
     },
     "downloadVideo": {
       "label": "Télécharger la vidéo",
@@ -196,12 +208,26 @@
     "audioTranscription": {
       "label": "Transcrire",
       "aria": "Demander une transcription audio"
+    },
+    "showObjectDetails": {
+      "label": "Afficher le parcours de l'objet"
+    },
+    "hideObjectDetails": {
+      "label": "Masquer le parcours de l'objet"
+    },
+    "viewTrackingDetails": {
+      "label": "Voir les détails du suivi",
+      "aria": "Afficher les détails du suivi"
+    },
+    "downloadCleanSnapshot": {
+      "label": "Télécharger l'instantané vierge",
+      "aria": "Télécharger l'instantané vierge"
     }
   },
   "dialog": {
     "confirmDelete": {
       "title": "Confirmer la suppression",
-      "desc": "La suppression de cet objet suivi supprime l'instantané, les représentations numériques enregistrées et les entrées du cycle de vie de l'objet associé. Les images enregistrées de cet objet suivi dans la vue Historique <em>NE</em> seront <em>PAS</em> supprimées.<br /><br />Êtes-vous sûr de vouloir continuer ?"
+      "desc": "La suppression de cet objet suivi supprime l'instantané, les embeddings enregistrés et les entrées du cycle de vie de l'objet associé. Les images enregistrées de cet objet suivi dans la vue Chronologie <em>NE</em> seront <em>PAS</em> supprimées.<br /><br />Êtes-vous sûr de vouloir continuer ?"
     }
   },
   "noTrackedObjects": "Aucun objet suivi trouvé",
@@ -216,13 +242,64 @@
         "error": "Échec de la suppression de l'objet suivi : {{errorMessage}}"
       }
     },
-    "tooltip": "Correspondance : {{type}} à {{confidence}}%"
+    "tooltip": "Correspondance : {{type}} à {{confidence}}%",
+    "previousTrackedObject": "Objet suivi précédent",
+    "nextTrackedObject": "Objet suivi suivant"
   },
   "exploreMore": "Explorer plus d'objets {{label}}",
   "aiAnalysis": {
     "title": "Analyse IA"
   },
   "concerns": {
-    "label": "Préoccupations"
+    "label": "Points de vigilance"
+  },
+  "trackingDetails": {
+    "title": "Détails du suivi",
+    "noImageFound": "Aucune image trouvée pour cet horodatage",
+    "createObjectMask": "Créer un masque d'objet",
+    "adjustAnnotationSettings": "Ajuster les paramètres d'annotation",
+    "scrollViewTips": "Cliquez pour voir les moments significatifs du cycle de vie de cet objet.",
+    "autoTrackingTips": "Les positions des cadres de détection seront imprécises pour les caméras à suivi automatique.",
+    "count": "{{first}} sur {{second}}",
+    "trackedPoint": "Point suivi",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} détecté",
+      "entered_zone": "{{label}} est entré(e) dans {{zones}}.",
+      "active": "{{label}} est devenu(e) actif(ve).",
+      "stationary": "{{label}} s'est immobilisé(e)",
+      "attribute": {
+        "faceOrLicense_plate": "Détection de {{attribute}} pour {{label}}",
+        "other": "{{label}} reconnu(e) comme {{attribute}}"
+      },
+      "gone": "Sortie de {{label}}",
+      "heard": "{{label}} entendu(e)",
+      "external": "{{label}} détecté(e)",
+      "header": {
+        "zones": "Zones",
+        "ratio": "Ratio",
+        "area": "Surface",
+        "score": "Score"
+      }
+    },
+    "annotationSettings": {
+      "offset": {
+        "desc": "Ces données proviennent du flux de détection de votre caméra, mais elles sont superposées aux images du flux d'enregistrement. Il est peu probable que les deux flux soient parfaitement synchronisés. Par conséquent, le cadre de délimitation et la vidéo ne s'aligneront pas parfaitement. Vous pouvez utiliser ce paramètre pour décaler les annotations vers l'avant ou vers l'arrière dans le temps afin de mieux les aligner avec la vidéo enregistrée.",
+        "millisecondsToOffset": "Millisecondes de décalage pour les annotations de détection. <em>Par défaut : 0</em>",
+        "tips": "Diminuez la valeur si la lecture vidéo est en avance sur les cadres de détection et les points de tracé, et augmentez-la si la lecture vidéo est en retard sur ceux-ci. Cette valeur peut être négative.",
+        "toast": {
+          "success": "Le décalage des annotations pour {{camera}} a été sauvegardé dans le fichier de configuration."
+        },
+        "label": "Décalage d'annotation"
+      },
+      "title": "Paramètres d'annotation",
+      "showAllZones": {
+        "title": "Afficher toutes les zones",
+        "desc": "Toujours afficher les zones sur les images lorsqu'un objet pénètre une zone"
+      }
+    },
+    "carousel": {
+      "previous": "Diapositive précédente",
+      "next": "Diapositive suivante"
+    }
   }
 }
diff --git a/web/public/locales/fr/views/exports.json b/web/public/locales/fr/views/exports.json
index ff8275a50..3b698d003 100644
--- a/web/public/locales/fr/views/exports.json
+++ b/web/public/locales/fr/views/exports.json
@@ -1,17 +1,23 @@
 {
-  "documentTitle": "Exporter - Frigate",
+  "documentTitle": "Exports - Frigate",
   "search": "Rechercher",
-  "noExports": "Aucun export trouvé",
-  "deleteExport": "Supprimer l'export",
-  "deleteExport.desc": "Êtes-vous sûr de vouloir supprimer {{exportName}}?",
+  "noExports": "Aucune exportation trouvée",
+  "deleteExport": "Supprimer l'exportation",
+  "deleteExport.desc": "Êtes-vous sûr de vouloir supprimer {{exportName}} ?",
   "editExport": {
-    "title": "Renommer l'export",
-    "desc": "Saisissez un nouveau nom pour cet export.",
-    "saveExport": "Enregistrer l'export"
+    "title": "Renommer l'exportation",
+    "desc": "Saisissez un nouveau nom pour cette exportation.",
+    "saveExport": "Enregistrer l'exportation"
   },
   "toast": {
     "error": {
-      "renameExportFailed": "Échec du renommage de l'export : {{errorMessage}}"
+      "renameExportFailed": "Échec du renommage de l'exportation : {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Partager l'exportation",
+    "downloadVideo": "Télécharger la vidéo",
+    "editName": "Modifier le nom",
+    "deleteExport": "Supprimer l'exportation"
   }
 }
diff --git a/web/public/locales/fr/views/faceLibrary.json b/web/public/locales/fr/views/faceLibrary.json
index 618185d23..7d65a5e91 100644
--- a/web/public/locales/fr/views/faceLibrary.json
+++ b/web/public/locales/fr/views/faceLibrary.json
@@ -1,7 +1,7 @@
 {
   "description": {
-    "addFace": "Guide pour ajouter une nouvelle collection à la bibliothèque de visages",
-    "placeholder": "Saisissez un nom pour cette collection",
+    "addFace": "Ajoutez une nouvelle collection à la bibliothèque de visages en téléversant votre première image.",
+    "placeholder": "Saisissez un nom pour cette collection.",
     "invalidName": "Nom invalide. Les noms ne peuvent contenir que des lettres, des chiffres, des espaces, des apostrophes, des traits de soulignement et des tirets."
   },
   "details": {
@@ -17,18 +17,19 @@
   "documentTitle": "Bibliothèque de visages - Frigate",
   "uploadFaceImage": {
     "title": "Téléverser l'image du visage",
-    "desc": "Téléversez une image pour rechercher des visages et l'inclure dans {{pageToggle}}"
+    "desc": "Téléversez une image pour rechercher des visages et l'inclure dans {{pageToggle}}."
   },
   "createFaceLibrary": {
     "title": "Créer une collection",
     "desc": "Créer une nouvelle collection",
     "new": "Créer un nouveau visage",
-    "nextSteps": "Pour construire une base solide :<li>Utilisez l'onglet Entraîner pour sélectionner et entraîner des images pour chaque personne détectée.</li><li>Privilégiez les images de face pour de meilleurs résultats ; évitez d'utiliser des images d'entraînement où les visages sont capturés de biais.</li></ul>"
+    "nextSteps": "Pour construire une base solide :<li>Utilisez l'onglet Reconnaissances récentes pour sélectionner et entraîner des images pour chaque personne détectée.</li><li>Privilégiez les images de face pour de meilleurs résultats et évitez d'entraîner le modèle avec des images où les visages sont de biais.</li></ul>"
   },
   "train": {
-    "title": "Entraîner",
-    "aria": "Sélectionner entraîner",
-    "empty": "Il n'y a pas de tentatives récentes de reconnaissance faciale"
+    "title": "Reconnaissances récentes",
+    "aria": "Sélectionnez des reconnaissances récentes.",
+    "empty": "Il n'y a pas de tentatives récentes de reconnaissance faciale.",
+    "titleShort": "Récent"
   },
   "selectFace": "Sélectionner un visage",
   "button": {
@@ -41,12 +42,12 @@
   },
   "selectItem": "Sélectionner {{item}}",
   "deleteFaceLibrary": {
-    "title": "Supprimer un nom",
-    "desc": "Etes-vous certain de vouloir supprimer la collection {{name}} ? Cette action supprimera définitivement tous les visages associés."
+    "title": "Supprimer le nom",
+    "desc": "Êtes-vous certain de vouloir supprimer la collection {{name}} ? Cette action supprimera définitivement tous les visages associés."
   },
   "imageEntry": {
-    "dropActive": "Déposez l'image ici…",
-    "dropInstructions": "Glissez et déposez une image ici, ou cliquez pour sélectionner",
+    "dropActive": "Déposez l'image ici.",
+    "dropInstructions": "Glissez-déposez ou collez une image ici, ou cliquez pour la sélectionner.",
     "maxSize": "Taille max : {{size}}Mo",
     "validation": {
       "selectImage": "Veuillez sélectionner un fichier image."
@@ -58,30 +59,30 @@
       "deletedName_one": "{{count}} visage a été supprimé avec succès.",
       "deletedName_many": "{{count}} visages ont été supprimés avec succès.",
       "deletedName_other": "{{count}} visages ont été supprimés avec succès.",
-      "uploadedImage": "Image téléversée avec succès.",
+      "uploadedImage": "Image téléversée avec succès",
       "addFaceLibrary": "{{name}} a été ajouté avec succès à la bibliothèque de visages !",
-      "updatedFaceScore": "Score du visage mis à jour avec succès.",
-      "deletedFace_one": "{{count}} visage a été supprimé avec succès.",
-      "deletedFace_many": "{{count}} visages ont été supprimés avec succès.",
-      "deletedFace_other": "{{count}} visages ont été supprimés avec succès.",
-      "trainedFace": "Visage entraîné avec succès.",
-      "renamedFace": "Visage renommé avec succés en {{name}}"
+      "updatedFaceScore": "Score du visage ({{score}}) de {{name}} mis à jour avec succès",
+      "deletedFace_one": "{{count}} visage supprimé avec succès",
+      "deletedFace_many": "{{count}} visages supprimés avec succès",
+      "deletedFace_other": "{{count}} visages supprimés avec succès",
+      "trainedFace": "Visage entraîné avec succès",
+      "renamedFace": "Visage renommé avec succès en {{name}}"
     },
     "error": {
       "uploadingImageFailed": "Échec du téléversement de l'image : {{errorMessage}}",
       "deleteFaceFailed": "Échec de la suppression : {{errorMessage}}",
-      "trainFailed": "Échec de l'entrainement : {{errorMessage}}",
+      "trainFailed": "Échec de l'entraînement : {{errorMessage}}",
       "updateFaceScoreFailed": "Échec de la mise à jour du score du visage : {{errorMessage}}",
-      "addFaceLibraryFailed": "Échec du nommage du visage : {{errorMessage}}",
+      "addFaceLibraryFailed": "Échec de l'attribution du nom au visage : {{errorMessage}}",
       "deleteNameFailed": "Échec de la suppression du nom : {{errorMessage}}",
-      "renameFaceFailed": "Échec du renommage du visage : {{errorMessage}}"
+      "renameFaceFailed": "Échec du changement de nom du visage : {{errorMessage}}"
     }
   },
   "trainFaceAs": "Entraîner le visage comme :",
-  "trainFace": "Entraîner un visage",
+  "trainFace": "Entraîner le visage",
   "steps": {
     "uploadFace": "Téléverser une image de visage",
-    "faceName": "Entrer un nom pour le visage",
+    "faceName": "Saisissez le nom du visage.",
     "nextSteps": "Prochaines étapes",
     "description": {
       "uploadFace": "Téléversez une image de {{name}} qui montre son visage de face. L'image n'a pas besoin d'être recadrée pour ne montrer que son visage."
@@ -89,7 +90,7 @@
   },
   "renameFace": {
     "title": "Renommer le visage",
-    "desc": "Saisissez un nouveau nom pour {{name}}"
+    "desc": "Saisissez un nouveau nom pour {{name}}."
   },
   "collections": "Collections",
   "deleteFaceAttempts": {
@@ -98,6 +99,6 @@
     "desc_many": "Êtes-vous sûr de vouloir supprimer {{count}} visages ? Cette action est irréversible.",
     "desc_other": "Êtes-vous sûr de vouloir supprimer {{count}} visages ? Cette action est irréversible."
   },
-  "nofaces": "Pas de visage disponible",
+  "nofaces": "Aucun visage disponible",
   "pixels": "{{area}} pixels"
 }
diff --git a/web/public/locales/fr/views/live.json b/web/public/locales/fr/views/live.json
index 0ced5dc1a..e3edc5a0f 100644
--- a/web/public/locales/fr/views/live.json
+++ b/web/public/locales/fr/views/live.json
@@ -1,6 +1,6 @@
 {
   "documentTitle": "Direct - Frigate",
-  "lowBandwidthMode": "Mode faible bande-passante",
+  "lowBandwidthMode": "Mode bande passante faible",
   "documentTitle.withCamera": "{{camera}} - Direct - Frigate",
   "twoWayTalk": {
     "disable": "Désactiver la conversation bidirectionnelle",
@@ -14,17 +14,17 @@
     "move": {
       "clickMove": {
         "label": "Cliquez dans le cadre pour centrer la caméra",
-        "enable": "Activer le click pour déplacer",
-        "disable": "Désactiver le click pour déplacer"
+        "enable": "Activer le clic pour déplacer",
+        "disable": "Désactiver le clic pour déplacer"
       },
       "left": {
-        "label": "Déplacer la caméra PTZ sur la gauche"
+        "label": "Déplacer la caméra PTZ vers la gauche"
       },
       "up": {
         "label": "Déplacer la caméra PTZ vers le haut"
       },
       "right": {
-        "label": "Déplacer la caméra PTZ sur la droite"
+        "label": "Déplacer la caméra PTZ vers la droite"
       },
       "down": {
         "label": "Déplacer la caméra PTZ vers le bas"
@@ -32,18 +32,18 @@
     },
     "zoom": {
       "in": {
-        "label": "Zoomer avant de la caméra PTZ"
+        "label": "Zoom avant sur la caméra PTZ"
       },
       "out": {
-        "label": "Zoom arrière de la caméra PTZ"
+        "label": "Zoom arrière sur la caméra PTZ"
       }
     },
     "frame": {
       "center": {
-        "label": "Cliquez dans le cadre pour centrer la caméra PTZ"
+        "label": "Cliquez dans le cadre pour centrer la caméra PTZ."
       }
     },
-    "presets": "Paramètres prédéfinis pour les caméras PTZ",
+    "presets": "Préréglages de la caméra PTZ",
     "focus": {
       "in": {
         "label": "Mise au point rapprochée de la caméra PTZ"
@@ -79,51 +79,51 @@
   },
   "manualRecording": {
     "playInBackground": {
-      "label": "Jouer en arrière plan",
-      "desc": "Activer cette option pour continuer à streamer lorsque le lecteur est masqué."
+      "label": "Jouer en arrière-plan",
+      "desc": "Activez cette option pour continuer à diffuser lorsque le lecteur est masqué."
     },
     "showStats": {
       "label": "Afficher les statistiques",
-      "desc": "Activer cette option pour afficher les statistiques de flux en surimpression sur le flux de la caméra."
+      "desc": "Activez cette option pour afficher les statistiques de flux en surimpression sur le flux de la caméra."
     },
     "debugView": "Vue de débogage",
     "start": "Démarrer l'enregistrement à la demande",
-    "failedToStart": "Echec du démarrage de l'enregistrement à la demande manuel.",
+    "failedToStart": "Échec du démarrage de l'enregistrement manuel à la demande",
     "end": "Terminer l'enregistrement à la demande",
-    "ended": "Enregistrement à la demande terminé.",
-    "failedToEnd": "Impossible de terminer l'enregistrement manuel à la demande.",
-    "started": "Enregistrement à la demande démarré.",
+    "ended": "Enregistrement manuel à la demande terminé",
+    "failedToEnd": "Impossible de terminer l'enregistrement manuel à la demande",
+    "started": "Enregistrement manuel à la demande démarré",
     "recordDisabledTips": "Puisque l'enregistrement est désactivé ou restreint dans la configuration de cette caméra, seul un instantané sera enregistré.",
-    "title": "Enregistrement à la demande",
-    "tips": "Démarrez un événement manuel en fonction des paramètres de conservation d'enregistrement de cette caméra."
+    "title": "À la demande",
+    "tips": "Téléchargez un instantané ou démarrez un événement manuel en fonction des paramètres de conservation des enregistrements de cette caméra."
   },
-  "streamingSettings": "Paramètres de streaming",
+  "streamingSettings": "Paramètres de diffusion",
   "notifications": "Notifications",
   "suspend": {
     "forTime": "Mettre en pause pour : "
   },
   "stream": {
     "audio": {
-      "available": "Audio disponible pour ce flux",
+      "available": "L'audio est disponible pour ce flux",
       "tips": {
         "documentation": "Lire la documentation ",
-        "title": "L'audio doit être capté par votre caméra et configuré dans go2rtc pour ce flux."
+        "title": "L'audio doit provenir de votre caméra et être configuré dans go2rtc pour ce flux."
       },
-      "unavailable": "Audio non disponible pour ce flux"
+      "unavailable": "L'audio n'est pas disponible pour ce flux"
     },
     "twoWayTalk": {
-      "tips": "Votre périphérique doit supporter la fonctionnalité et WebRTC doit être configuré pour supporter la conversation bidirectionnelle.",
+      "tips": "Votre appareil doit prendre en charge cette fonctionnalité et WebRTC doit être configuré pour la conversation bidirectionnelle.",
       "tips.documentation": "Lire la documention ",
       "available": "Conversation bidirectionnelle disponible pour ce flux",
       "unavailable": "Conversation bidirectionnelle non disponible pour ce flux"
     },
     "lowBandwidth": {
-      "tips": "La vue temps réel est en mode faible bande passante à cause d'erreurs de cache ou de flux.",
+      "tips": "La vue temps réel est en mode bande passante faible à cause de problèmes de mise en mémoire tampon ou d'erreurs de flux.",
       "resetStream": "Réinitialiser le flux"
     },
     "playInBackground": {
-      "tips": "Activer cette option pour continuer le streaming lorsque le lecteur est masqué.",
-      "label": "Jouer en arrière plan"
+      "tips": "Activez cette option pour continuer la diffusion lorsque le lecteur est masqué.",
+      "label": "Jouer en arrière-plan"
     },
     "title": "Flux",
     "debug": {
@@ -141,7 +141,7 @@
     "transcription": "Transcription audio"
   },
   "history": {
-    "label": "Afficher l'historique de capture"
+    "label": "Afficher les vidéos archivées"
   },
   "effectiveRetainMode": {
     "modes": {
@@ -165,10 +165,25 @@
     "group": {
       "label": "Modifier le groupe de caméras"
     },
-    "exitEdit": "Quitter l'édition"
+    "exitEdit": "Quitter le mode édition"
   },
   "transcription": {
     "enable": "Activer la transcription audio en direct",
     "disable": "Désactiver la transcription audio en direct"
+  },
+  "noCameras": {
+    "title": "Aucune caméra n'est configurée",
+    "description": "Pour commencer, connectez une caméra à Frigate.",
+    "buttonText": "Ajouter une caméra",
+    "restricted": {
+      "title": "Aucune caméra disponible",
+      "description": "Vous n'avez pas la permission de visionner les caméras de ce groupe."
+    }
+  },
+  "snapshot": {
+    "takeSnapshot": "Télécharger un instantané",
+    "noVideoSource": "Aucune source vidéo disponible pour l'instantané",
+    "captureFailed": "Échec de la capture de l'instantané",
+    "downloadStarted": "Téléchargement de l'instantané démarré"
   }
 }
diff --git a/web/public/locales/fr/views/recording.json b/web/public/locales/fr/views/recording.json
index f04812f4c..e1960a754 100644
--- a/web/public/locales/fr/views/recording.json
+++ b/web/public/locales/fr/views/recording.json
@@ -1,12 +1,12 @@
 {
-  "export": "Exporter",
+  "export": "Exports",
   "calendar": "Calendrier",
   "filter": "Filtre",
   "filters": "Filtres",
   "toast": {
     "error": {
-      "noValidTimeSelected": "Pas de période valide sélectionnée",
-      "endTimeMustAfterStartTime": "L'heure de fin doit être après l'heure de début"
+      "noValidTimeSelected": "Aucune plage horaire valide sélectionnée",
+      "endTimeMustAfterStartTime": "L'heure de fin doit être postérieure à l'heure de début."
     }
   }
 }
diff --git a/web/public/locales/fr/views/search.json b/web/public/locales/fr/views/search.json
index b656ab889..a9938bff7 100644
--- a/web/public/locales/fr/views/search.json
+++ b/web/public/locales/fr/views/search.json
@@ -1,7 +1,7 @@
 {
   "savedSearches": "Recherches enregistrées",
   "search": "Rechercher",
-  "searchFor": "Chercher {{inputValue}}",
+  "searchFor": "Rechercher {{inputValue}}",
   "button": {
     "clear": "Effacer la recherche",
     "filterInformation": "Filtrer les informations",
@@ -13,20 +13,21 @@
   "filter": {
     "label": {
       "zones": "Zones",
-      "sub_labels": "Sous-libellés",
+      "sub_labels": "Sous-étiquettes",
       "search_type": "Type de recherche",
-      "time_range": "Plage de temps",
-      "labels": "Libellés",
+      "time_range": "Plage horaire",
+      "labels": "Étiquettes",
       "cameras": "Caméras",
       "after": "Après",
       "before": "Avant",
-      "min_speed": "Vitesse minimum",
-      "max_speed": "Vitesse maximum",
+      "min_speed": "Vitesse minimale",
+      "max_speed": "Vitesse maximale",
       "min_score": "Score minimum",
-      "recognized_license_plate": "Plaques d'immatriculation reconnues",
-      "has_clip": "Contient un clip",
-      "has_snapshot": "Contient un instantané",
-      "max_score": "Score maximum"
+      "recognized_license_plate": "Plaque d'immatriculation reconnue",
+      "has_clip": "Avec une séquence vidéo",
+      "has_snapshot": "Avec un instantané",
+      "max_score": "Score maximum",
+      "attributes": "Attributs"
     },
     "searchType": {
       "thumbnail": "Miniature",
@@ -34,11 +35,11 @@
     },
     "toast": {
       "error": {
-        "beforeDateBeLaterAfter": "La date de début « avant » doit être postérieure à la date « après ».",
+        "beforeDateBeLaterAfter": "La date « avant » doit être postérieure à la date « après ».",
         "afterDatebeEarlierBefore": "La date « après » doit être antérieure à la date « avant ».",
         "minScoreMustBeLessOrEqualMaxScore": "Le « min_score » doit être inférieur ou égal au « max_score ».",
         "maxScoreMustBeGreaterOrEqualMinScore": "Le « max_score » doit être supérieur ou égal au « min_score ».",
-        "minSpeedMustBeLessOrEqualMaxSpeed": "La « vitesse_min » doit être inférieure ou égale à la « vitesse_max ».",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "La vitesse minimale doit être inférieure ou égale à la vitesse maximale.",
         "maxSpeedMustBeGreaterOrEqualMinSpeed": "La « vitesse maximale » doit être supérieure ou égale à la « vitesse minimale »."
       }
     },
@@ -54,11 +55,11 @@
         "example": "Exemple: <code className=\"text-primary\">cameras:front_door label:person before:01012024 time_range:3:00PM-4:00PM </code>",
         "step": "<ul className=\"list-disc pl-5 text-sm text-primary-variant\"><li>Saisissez un nom de filtre suivi de deux points (par exemple, «cameras:»).</li><li>Sélectionnez une valeur parmi les suggestions ou saisissez la vôtre.</li><li>Utilisez plusieurs filtres en les ajoutant les uns après les autres, en laissant un espace entre eux.</li><li>Les filtres de date (avant: et après:) utilisent le format <em>{{DateFormat}}</em>.</li><li>Le filtre de plage horaire utilise le format <em>{{exampleTime}}</em>.</li><li>Supprimez les filtres en cliquant sur le «x» à côté d'eux.</li></ul>",
         "step1": "Saisissez un nom de clé de filtre suivi de deux points (par exemple, \"cameras:\").",
-        "step2": "Sélectionnez une valeur pour la suggestion ou saisissez la vôtre.",
+        "step2": "Sélectionnez une valeur parmi les suggestions ou saisissez la vôtre.",
         "step3": "Utilisez plusieurs filtres en les ajoutant les uns après les autres avec un espace entre eux.",
         "step5": "Le filtre de plage horaire utilise le format {{exampleTime}}.",
-        "step6": "Supprimez les filtres en cliquant sur le ' x' à côté d'eux.",
-        "step4": "Filtres de dates (avant : et après :) utilisez le format {{DateFormat}}.",
+        "step6": "Supprimez les filtres en cliquant sur le \"x\" à côté d'eux.",
+        "step4": "Les filtres de dates (avant : et après :) utilisent le format {{DateFormat}}.",
         "exampleLabel": "Exemple :"
       }
     }
diff --git a/web/public/locales/fr/views/settings.json b/web/public/locales/fr/views/settings.json
index 6a3e61462..d44b0117a 100644
--- a/web/public/locales/fr/views/settings.json
+++ b/web/public/locales/fr/views/settings.json
@@ -4,26 +4,31 @@
     "authentication": "Paramètres d'authentification - Frigate",
     "camera": "Paramètres des caméras - Frigate",
     "classification": "Paramètres de classification - Frigate",
-    "motionTuner": "Réglages du mouvement - Frigate",
-    "general": "Paramètres généraux - Frigate",
+    "motionTuner": "Réglage de la détection de mouvement - Frigate",
+    "general": "Paramètres de l'interface utilisateur - Frigate",
     "masksAndZones": "Éditeur de masques et de zones - Frigate",
     "object": "Débogage - Frigate",
     "frigatePlus": "Paramètres Frigate+ - Frigate",
     "notifications": "Paramètres de notification - Frigate",
-    "enrichments": "Paramètres d'enrichissements - Frigate"
+    "enrichments": "Paramètres d'enrichissements - Frigate",
+    "cameraManagement": "Gestion des caméras - Frigate",
+    "cameraReview": "Paramètres des activités caméra - Frigate"
   },
   "menu": {
     "ui": "Interface utilisateur",
     "classification": "Classification",
     "masksAndZones": "Masques / Zones",
-    "motionTuner": "Réglages du mouvement",
+    "motionTuner": "Réglage de la détection de mouvement",
     "debug": "Débogage",
     "cameras": "Paramètres des caméras",
     "users": "Utilisateurs",
     "notifications": "Notifications",
     "frigateplus": "Frigate+",
     "enrichments": "Enrichissements",
-    "triggers": "Déclencheurs"
+    "triggers": "Déclencheurs",
+    "roles": "Rôles",
+    "cameraManagement": "Gestion",
+    "cameraReview": "Activités"
   },
   "dialog": {
     "unsavedChanges": {
@@ -36,7 +41,7 @@
     "noCamera": "Aucune caméra"
   },
   "general": {
-    "title": "Paramètres généraux",
+    "title": "Paramètres de l'interface utilisateur",
     "liveDashboard": {
       "title": "Tableau de bord en direct",
       "automaticLiveView": {
@@ -44,8 +49,16 @@
         "desc": "Basculez automatiquement vers la vue en direct d'une caméra lorsqu'une activité est détectée. La désactivation de cette option limite la mise à jour des images statiques de la caméra sur le tableau de bord en direct à une fois par minute seulement."
       },
       "playAlertVideos": {
-        "label": "Lire les vidéos d'alertes",
+        "label": "Lire les vidéos d'alerte",
         "desc": "Par défaut, les alertes récentes du tableau de bord en direct sont diffusées sous forme de petites vidéos en boucle. Désactivez cette option pour afficher uniquement une image statique des alertes récentes sur cet appareil/navigateur."
+      },
+      "displayCameraNames": {
+        "label": "Toujours afficher les noms des caméras",
+        "desc": "Toujours afficher les noms des caméras dans une puce sur le tableau de bord de la vue en direct multi-caméras"
+      },
+      "liveFallbackTimeout": {
+        "label": "Délai d'attente avant repli (Lecteur en direct)",
+        "desc": "Lorsque le flux en direct haute qualité d'une caméra est indisponible, le lecteur bascule en mode faible bande passante après ce nombre de secondes. Par défaut : 3."
       }
     },
     "storedLayouts": {
@@ -62,13 +75,13 @@
       "title": "Visionneuse d'enregistrements",
       "defaultPlaybackRate": {
         "label": "Vitesse de lecture par défaut",
-        "desc": "Vitesse de lecture par défaut pour la lecture des enregistrements."
+        "desc": "Vitesse de lecture par défaut pour la lecture des enregistrements"
       }
     },
     "calendar": {
       "firstWeekday": {
         "label": "Premier jour de la semaine",
-        "desc": "Le jour du début de semaine du calendrier de la revue d'évènements.",
+        "desc": "Jour du début de la semaine du calendrier des activités",
         "sunday": "Dimanche",
         "monday": "Lundi"
       },
@@ -127,7 +140,7 @@
     },
     "cameras": {
       "title": "Caméras",
-      "noCameras": "Aucune caméra disponible",
+      "noCameras": "Aucune caméra n'est disponible",
       "desc": "Sélectionnez les caméras pour lesquelles activer les notifications."
     },
     "deviceSpecific": "Paramètres spécifiques de l'appareil",
@@ -137,12 +150,12 @@
     "registerDevice": "Enregistrer cet appareil",
     "unregisterDevice": "Désenregistrer cet appareil",
     "sendTestNotification": "Envoyer une notification de test",
-    "unsavedChanges": "Modifications des notifications non enregistrés",
+    "unsavedChanges": "Modifications des notifications non enregistrées",
     "unsavedRegistrations": "Enregistrements des notifications non enregistrés"
   },
   "frigatePlus": {
     "apiKey": {
-      "notValidated": "La clé API Frigate+ n'est pas détectée ou non validée",
+      "notValidated": "La clé API Frigate+ n'est pas détectée ou n'est pas validée.",
       "title": "Clé API Frigate+",
       "validated": "La clé API Frigate+ est détectée et validée",
       "desc": "La clé API Frigate+ permet l'intégration avec le service Frigate+.",
@@ -151,12 +164,12 @@
     "title": "Paramètres Frigate+",
     "snapshotConfig": {
       "documentation": "Lire la documentation",
-      "desc": "La soumission à Frigate+ nécessite que les instantanés et les instantanés <code>clean_copy</code> soient activés dans votre configuration.",
-      "title": "Configuration de l'instantané",
+      "desc": "La soumission à Frigate+ nécessite à la fois que les instantanés et les instantanés <code>clean_copy</code> soient activés dans votre configuration.",
+      "title": "Configuration des instantanés",
       "table": {
         "snapshots": "Instantanés",
         "camera": "Caméra",
-        "cleanCopySnapshots": "<code>clean_copy</code> Instantanés"
+        "cleanCopySnapshots": "Instantanés <code>clean_copy</code>"
       },
       "cleanCopyWarning": "Certaines caméras ont des instantanés activés, mais la copie propre est désactivée. Vous devez activer <code>clean_copy</code> dans votre configuration d'instantanés pour pouvoir envoyer les images de ces caméras à Frigate+."
     },
@@ -167,7 +180,7 @@
       "supportedDetectors": "Détecteurs pris en charge",
       "loading": "Chargement des informations du modèle…",
       "title": "Informations sur le modèle",
-      "trainDate": "Date d'entrainement",
+      "trainDate": "Date d'entraînement",
       "error": "Échec du chargement des informations du modèle",
       "availableModels": "Modèles disponibles",
       "dimensions": "Dimensions",
@@ -183,7 +196,7 @@
       "error": "Échec de l'enregistrement des modifications de configuration : {{errorMessage}}"
     },
     "restart_required": "Redémarrage requis (modèle Frigate+ changé)",
-    "unsavedChanges": "Modifications de paramètres de Frigate+ non enregistrés"
+    "unsavedChanges": "Modifications de paramètres de Frigate+ non enregistrées"
   },
   "classification": {
     "title": "Paramètres de classification",
@@ -327,7 +340,8 @@
           "mustNotBeSameWithCamera": "Le nom de la zone ne doit pas être le même que le nom de la caméra.",
           "mustNotContainPeriod": "Le nom de la zone ne doit pas contenir de points.",
           "hasIllegalCharacter": "Le nom de la zone contient des caractères interdits.",
-          "alreadyExists": "Une zone portant ce nom existe déjà pour cette caméra."
+          "alreadyExists": "Une zone portant ce nom existe déjà pour cette caméra.",
+          "mustHaveAtLeastOneLetter": "Le nom de la zone doit comporter au moins une lettre."
         }
       },
       "distance": {
@@ -351,7 +365,7 @@
         },
         "snapPoints": {
           "true": "Points d'accrochage",
-          "false": "Ne cassez pas les points"
+          "false": "Ne pas réunir les points"
         }
       },
       "loiteringTime": {
@@ -366,7 +380,7 @@
       },
       "speed": {
         "error": {
-          "mustBeGreaterOrEqualTo": "Le seuil de vitesse soit être égal ou supérieur à 0.1."
+          "mustBeGreaterOrEqualTo": "Le seuil de vitesse doit être supérieur ou égal à 0.1."
         }
       }
     },
@@ -380,12 +394,12 @@
       "edit": "Modifier une zone",
       "name": {
         "title": "Nom",
-        "inputPlaceHolder": "Entrer un nom…",
-        "tips": "Le nom doit comporter au moins 2 caractères et ne doit pas être le nom d'une caméra ou d'une autre zone."
+        "inputPlaceHolder": "Saisissez un nom.",
+        "tips": "Le nom doit comporter au moins 2 caractères, dont une lettre, et ne doit pas être le nom d'une caméra ou d'une autre zone sur cette caméra."
       },
       "loiteringTime": {
         "desc": "Définit une durée minimale en secondes pendant laquelle l'objet doit rester dans la zone pour qu'elle s'active. <em>Par défaut : 0</em>",
-        "title": "Temps de latence"
+        "title": "Temps de maraudage"
       },
       "speedEstimation": {
         "title": "Estimation de la vitesse",
@@ -411,11 +425,11 @@
       "point_other": "{{count}} points",
       "label": "Zones",
       "inertia": {
-        "desc": "Spécifie le nombre d'images qu'un objet doit avoir dans une zone avant d'être considéré comme faisant partie de la zone. <em>Par défaut : 3</em>",
+        "desc": "Spécifie le nombre d'images pendant lesquelles un objet doit être dans une zone avant d'être considéré comme y étant. <em>Par défaut : 3</em>",
         "title": "Inertie"
       },
       "toast": {
-        "success": "La zone ({{zoneName}}) a été enregistrée. Redémarrez Frigate pour appliquer les modifications."
+        "success": "La zone ({{zoneName}}) a été enregistrée."
       },
       "objects": {
         "title": "Objets",
@@ -426,7 +440,7 @@
     },
     "motionMasks": {
       "label": "Masque de mouvement",
-      "documentTitle": "Modifier masque de mouvement - Frigate",
+      "documentTitle": "Modifier le masque de mouvement - Frigate",
       "context": {
         "documentation": "Lire la documentation",
         "title": "Les masques de mouvement servent à empêcher les mouvements indésirables de déclencher la détection (par exemple : branches d'arbres, horodatage des caméras). Ils doivent être utilisés <em>avec parcimonie</em>, car un surmasquage complique le suivi des objets."
@@ -443,8 +457,8 @@
       "clickDrawPolygon": "Cliquer pour dessiner un polygone sur l'image.",
       "toast": {
         "success": {
-          "title": "{{polygonName}} a été enregistré. Redémarrez Frigate pour appliquer les modifications.",
-          "noName": "Le masque de mouvement a été enregistré. Redémarrez Frigate pour appliquer les modifications."
+          "title": "{{polygonName}} a été enregistré.",
+          "noName": "Le masque de mouvement a été enregistré."
         }
       },
       "desc": {
@@ -454,7 +468,7 @@
       "add": "Nouveau masque de mouvement"
     },
     "objectMasks": {
-      "label": "Masques de l'objet",
+      "label": "Masques d'objet",
       "desc": {
         "documentation": "Documentation",
         "title": "Les masques de filtrage d'objets sont utilisés pour filtrer les faux positifs pour un type d'objet donné en fonction de l'emplacement."
@@ -468,15 +482,15 @@
       },
       "toast": {
         "success": {
-          "noName": "Le masque d'objet a été enregistré. Redémarrez Frigate pour appliquer les modifications.",
-          "title": "{{polygonName}} a été enregistré. Redémarrez Frigate pour appliquer les modifications."
+          "noName": "Le masque d'objet a été enregistré.",
+          "title": "{{polygonName}} a été enregistré."
         }
       },
       "point_one": "{{count}} point",
       "point_many": "{{count}} points",
       "point_other": "{{count}} points",
       "add": "Ajouter un masque d'objet",
-      "documentTitle": "Modifier le masque de l'objet - Frigate",
+      "documentTitle": "Modifier le masque d'objet - Frigate",
       "context": "Les masques de filtrage d'objets sont utilisés pour filtrer les faux positifs pour un type d'objet donné en fonction de l'emplacement."
     },
     "filter": {
@@ -498,7 +512,7 @@
     "title": "Réglage de la détection de mouvement",
     "desc": {
       "documentation": "Lisez le guide de réglage de mouvement",
-      "title": "Frigate utilise la détection de mouvement comme première ligne de contrôle pour voir s'il se passe quelque chose dans l'image qui mérite d'être vérifié avec la détection d'objet."
+      "title": "Frigate utilise la détection de mouvement comme première ligne de contrôle pour voir s'il se passe quelque chose dans l'image qui mérite d'être vérifié avec la détection d'objets."
     },
     "Threshold": {
       "title": "Seuil",
@@ -521,12 +535,12 @@
     "debugging": "Débogage",
     "objectList": "Liste d'objets",
     "boundingBoxes": {
-      "title": "Cadres de délimitation",
+      "title": "Cadres de détection",
       "colors": {
-        "label": "Couleurs du cadre de délimitation d'un objet",
-        "info": "<li>Au démarrage, différentes couleurs seront attribuées à chaque libellé d'objet</li><li>Une fine ligne bleu foncé indique que l'objet n'est pas détecté à ce moment précis</li><li>Une fine ligne grise indique que l'objet est détecté comme étant stationnaire</li><li>Une ligne épaisse indique que l'objet fait l'objet d'un suivi automatique (lorsqu'il est activé)</li>"
+        "label": "Couleurs des cadres de détection d'objet",
+        "info": "<li>Au démarrage, différentes couleurs seront attribuées à chaque étiquette d'objet</li><li>Une fine ligne bleu foncé indique que cet objet n'est pas détecté à ce moment précis</li><li>Une fine ligne grise indique que cet objet est détecté comme étant immobile</li><li>Une ligne épaisse indique que cet objet fait l'objet d'un suivi automatique (lorsqu'il est activé)</li>"
       },
-      "desc": "Afficher les cadres de délimitation autour des objets suivis"
+      "desc": "Afficher les cadres de détection autour des objets suivis"
     },
     "timestamp": {
       "title": "Horodatage",
@@ -543,11 +557,11 @@
     "motion": {
       "desc": "Afficher des cadres autour des zones où un mouvement est détecté",
       "title": "Cadres de mouvement",
-      "tips": "<p><strong>Cadres de mouvement</strong></p><br><p>Des cadres rouges seront superposées sur les zones de l'image où un mouvement est actuellement détecté</p>"
+      "tips": "<p><strong>Cadres de mouvement</strong></p><br><p>Des cadres rouges seront superposés sur les zones de l'image où un mouvement est actuellement détecté</p>"
     },
     "regions": {
       "title": "Régions",
-      "desc": "Afficher une boîte de la région d'intérêt envoyée au détecteur d'objet",
+      "desc": "Afficher un cadre de la région d'intérêt envoyée au détecteur d'objet",
       "tips": "<p><strong>Cadres de région</strong></p><br><p>Des cadres verts lumineux seront superposés sur les zones d'intérêt de l'image qui sont envoyées au détecteur d'objets.</p>"
     },
     "objectShapeFilterDrawing": {
@@ -564,9 +578,9 @@
     "detectorDesc": "Frigate utilise vos détecteurs ({{detectors}}) pour détecter les objets dans le flux vidéo de votre caméra.",
     "desc": "La vue de débogage affiche en temps réel les objets suivis et leurs statistiques. La liste des objets affiche un résumé différé des objets détectés.",
     "paths": {
-      "title": "Chemins",
-      "desc": "Montrer les points notables du chemin de l'objet suivi",
-      "tips": "<p><strong>Chemins</strong></p><br><p>Les lignes et les cercles indiqueront les points notables des déplacements de l'objet suivi pendant son cycle de vie.</p>"
+      "title": "Trajets",
+      "desc": "Afficher les points notables du trajet de l'objet suivi",
+      "tips": "<p><strong>Trajets</strong></p><br><p>Les lignes et les cercles indiqueront les points notables où l'objet suivi s'est déplacé pendant son cycle de vie.</p>"
     },
     "audio": {
       "title": "Audio",
@@ -575,7 +589,7 @@
       "currentRMS": "RMS actuel",
       "currentdbFS": "dbFS actuel"
     },
-    "openCameraWebUI": "Ouvre l'interface Web de {{camera}}"
+    "openCameraWebUI": "Ouvrir l'interface Web de {{camera}}"
   },
   "users": {
     "title": "Utilisateurs",
@@ -584,7 +598,7 @@
       "desc": "Gérez les comptes utilisateurs de cette instance Frigate."
     },
     "addUser": "Ajouter un utilisateur",
-    "updatePassword": "Mettre à jour le mot de passe",
+    "updatePassword": "Réinitialiser le mot de passe",
     "toast": {
       "success": {
         "roleUpdated": "Rôle mis à jour pour {{user}}",
@@ -604,7 +618,7 @@
       "actions": "Actions",
       "noUsers": "Aucun utilisateur trouvé.",
       "changeRole": "Changer le rôle d'utilisateur",
-      "password": "Mot de passe",
+      "password": "Réinitialiser le mot de passe",
       "deleteUser": "Supprimer un utilisateur",
       "role": "Rôle"
     },
@@ -612,35 +626,48 @@
       "form": {
         "user": {
           "title": "Nom d'utilisateur",
-          "placeholder": "Entrez le nom d'utilisateur",
+          "placeholder": "Saisir le nom d'utilisateur",
           "desc": "Seules les lettres, les chiffres, les points et les traits de soulignement sont autorisés."
         },
         "password": {
           "strength": {
             "weak": "Faible",
-            "title": "Sécurité du mot de passe : ",
+            "title": "Niveau de sécurité du mot de passe : ",
             "medium": "Moyen",
             "strong": "Fort",
             "veryStrong": "Très fort"
           },
           "match": "Les mots de passe correspondent",
-          "notMatch": "Les mots de passe ne correspondent pas",
-          "placeholder": "Entrez le mot de passe",
+          "notMatch": "Les mots de passe ne correspondent pas.",
+          "placeholder": "Saisir le mot de passe",
           "title": "Mot de passe",
           "confirm": {
-            "title": "Confirmez le mot de passe",
-            "placeholder": "Confirmez le mot de passe"
+            "title": "Confirmer le mot de passe",
+            "placeholder": "Confirmer le mot de passe"
+          },
+          "show": "Afficher le mot de passe",
+          "hide": "Masquer le mot de passe",
+          "requirements": {
+            "title": "Critères du mot de passe :",
+            "length": "Au moins 8 caractères",
+            "uppercase": "Au moins une lettre majuscule",
+            "digit": "Au moins un chiffre",
+            "special": "Au moins un caractère spécial (!@#$%^&*(),.?\":{}|<>)"
           }
         },
         "newPassword": {
           "title": "Nouveau mot de passe",
-          "placeholder": "Entrez le nouveau mot de passe",
+          "placeholder": "Saisissez le nouveau mot de passe.",
           "confirm": {
-            "placeholder": "Ré-entrez le nouveau mot de passe"
+            "placeholder": "Confirmez le nouveau mot de passe."
           }
         },
-        "usernameIsRequired": "Le nom d'utilisateur est requis",
-        "passwordIsRequired": "Mot de passe requis"
+        "usernameIsRequired": "Nom d'utilisateur requis",
+        "passwordIsRequired": "Mot de passe requis",
+        "currentPassword": {
+          "title": "Mot de passe actuel",
+          "placeholder": "Saisissez votre mot de passe actuel"
+        }
       },
       "deleteUser": {
         "title": "Supprimer un utilisateur",
@@ -649,10 +676,15 @@
       },
       "passwordSetting": {
         "updatePassword": "Mettre à jour le mot de passe pour {{username}}",
-        "setPassword": "Définir le mot de passe",
+        "setPassword": "Configurer un mot de passe",
         "desc": "Créez un mot de passe fort pour sécuriser ce compte.",
         "doNotMatch": "Les mots de passe ne correspondent pas",
-        "cannotBeEmpty": "Le mot de passe ne peut être vide"
+        "cannotBeEmpty": "Le mot de passe ne peut être vide",
+        "currentPasswordRequired": "Le mot de passe actuel est requis.",
+        "incorrectCurrentPassword": "Le mot de passe actuel est incorrect",
+        "passwordVerificationFailed": "Échec de la vérification du mot de passe",
+        "multiDeviceWarning": "Tout autre appareil connecté devra se reconnecter dans un délai de {{refresh_time}}.",
+        "multiDeviceAdmin": "Vous pouvez également forcer la ré-authentification immédiate de tous les utilisateurs en renouvelant votre clé de sécurité JWT."
       },
       "changeRole": {
         "title": "Changer le rôle de l'utilisateur",
@@ -662,7 +694,7 @@
           "admin": "Administrateur",
           "adminDesc": "Accès complet à l'ensemble des fonctionnalités.",
           "viewer": "Observateur",
-          "viewerDesc": "Limité aux tableaux de bord Direct, Revue d'événements, Explorer et Exports.",
+          "viewerDesc": "Limité aux tableaux de bord Direct, Activités, Explorer et Exports.",
           "customDesc": "Rôle personnalisé avec accès spécifique à la caméra"
         },
         "select": "Sélectionnez un rôle"
@@ -670,7 +702,7 @@
       "createUser": {
         "title": "Créer un nouvel utilisateur",
         "desc": "Ajoutez un nouveau compte utilisateur et spécifiez un rôle pour accéder aux zones de l'interface utilisateur Frigate.",
-        "usernameOnlyInclude": "Le nom d'utilisateur ne peut inclure que des lettres, des chiffres, . ou _",
+        "usernameOnlyInclude": "Le nom d'utilisateur ne peut inclure que des lettres, des chiffres, des points (.) ou des traits de soulignement (_).",
         "confirmPassword": "Veuillez confirmer votre mot de passe"
       }
     }
@@ -679,26 +711,26 @@
     "title": "Paramètres d'enrichissements",
     "birdClassification": {
       "title": "Identification des oiseaux",
-      "desc": "L'identification des oiseaux est réalisée à l'aide d'un modèle TensorFlow quantifié. Lorsqu'un oiseau est reconnu, son nom commun est automatiquement ajouté comme sous-libellé. Cette information est intégréesà l'interface utilisateur, aux filtres de recherche et aux notifications."
+      "desc": "L'identification des oiseaux est réalisée à l'aide d'un modèle TensorFlow quantifié. Lorsqu'un oiseau est reconnu, son nom commun est automatiquement ajouté comme sous-étiquette. Cette information est intégrée à l'interface utilisateur, aux filtres de recherche et aux notifications."
     },
     "semanticSearch": {
       "title": "Recherche sémantique",
       "readTheDocumentation": "Lire la documentation",
       "reindexNow": {
         "label": "Réindexer maintenant",
-        "desc": "La réindexation va régénérer les représentations numériques pour tous les objets suivis. Ce processus s'exécute en arrière-plan et peut saturer votre processeur et prendre un temps considérable, en fonction du nombre d'objets suivis.",
-        "confirmTitle": "Confirmez la réindexation",
+        "desc": "La réindexation va régénérer les embeddings pour tous les objets suivis. Ce processus s'exécute en arrière-plan et peut saturer votre processeur et prendre un temps considérable en fonction du nombre d'objets suivis.",
+        "confirmTitle": "Confirmer la réindexation",
         "confirmButton": "Réindexer",
         "success": "La réindexation a démarré avec succès.",
         "alreadyInProgress": "La réindexation est déjà en cours.",
         "error": "Échec du démarrage de la réindexation : {{errorMessage}}",
-        "confirmDesc": "Êtes-vous sûr de vouloir réindexer tous les représentations numériques des objets suivis ? Ce processus s'exécutera en arrière-plan, mais il pourrait saturer votre processeur et prendre un temps considérable. Vous pouvez suivre la progression sur la page Explorer."
+        "confirmDesc": "Êtes-vous sûr de vouloir réindexer tous les embeddings des objets suivis ? Ce processus s'exécutera en arrière-plan, mais il pourrait saturer votre processeur et prendre un temps considérable. Vous pouvez suivre la progression sur la page Explorer."
       },
       "modelSize": {
-        "desc": "La taille du modèle utilisé pour les représentations numériques de recherche sémantique.",
+        "desc": "La taille du modèle utilisé pour les embeddings de recherche sémantique",
         "small": {
           "title": "petit",
-          "desc": "Utiliser <em>petit</em> emploie une version quantifiée du modèle qui utilise moins de mémoire et s'exécute plus rapidement sur le processeur avec une différence négligeable dans la qualité des représentations numériques."
+          "desc": "Utiliser <em>petit</em> emploie une version quantifiée du modèle qui utilise moins de mémoire et s'exécute plus rapidement sur le processeur avec une différence négligeable dans la qualité des embeddings."
         },
         "large": {
           "title": "grand",
@@ -706,7 +738,7 @@
         },
         "label": "Taille du modèle"
       },
-      "desc": "La recherche sémantique de Frigate vous permet de retrouver les objets suivis dans votre revue d'évènements en utilisant soit l'image elle-même, soit une description textuelle définie par l'utilisateur, soit une description générée automatiquement."
+      "desc": "La recherche sémantique de Frigate permet de retrouver des objets suivis au sein de vos activités en utilisant l'image elle-même, une description personnalisée ou une description générée automatiquement."
     },
     "unsavedChanges": "Modifications non enregistrées des paramètres d'enrichissements",
     "faceRecognition": {
@@ -714,33 +746,33 @@
       "readTheDocumentation": "Lire la documentation",
       "modelSize": {
         "label": "Taille du modèle",
-        "desc": "La taille du modèle utilisé pour la reconnaissance faciale.",
+        "desc": "La taille du modèle utilisé pour la reconnaissance faciale",
         "small": {
           "title": "petit",
-          "desc": "Utiliser <em>petit</em> emploie un modèle de représentation numérique faciale FaceNet qui s'exécute efficacement sur la plupart des processeurs."
+          "desc": "Utiliser <em>petit</em> emploie un modèle d'embedding facial FaceNet qui s'exécute efficacement sur la plupart des processeurs."
         },
         "large": {
           "title": "grand",
-          "desc": "Utiliser <em>grand</em> emploie un modèle de représentation numérique faciale ArcFace et s'exécutera automatiquement sur le GPU si disponible."
+          "desc": "Utiliser <em>grand</em> emploie un modèle d'embedding facial ArcFace et s'exécutera automatiquement sur le GPU si disponible."
         }
       },
-      "desc": "La reconnaissance faciale permet à Frigate d'identifier les individus par leur nom. Dès qu'un visage est reconnu, Frigate associe ce nom comme sous-libellé à l'événement. Ces informations sont ensuite intégrées dans l'interface utilisateur, les options de filtrage et les notifications."
+      "desc": "La reconnaissance faciale permet à Frigate d'identifier les individus par leur nom. Dès qu'un visage est reconnu, Frigate associe ce nom comme sous-étiquette à l'événement. Ces informations sont ensuite intégrées dans l'interface utilisateur, les options de filtrage et les notifications."
     },
     "licensePlateRecognition": {
       "title": "Reconnaissance des plaques d'immatriculation",
       "readTheDocumentation": "Lire la documentation",
-      "desc": "Frigate identifie les plaques d'immatriculation des véhicules et peut automatiquement insérer les caractères détectés dans le champ recognized_license_plate. Il est également capable d'assigner un nom familier comme sous-libellé aux objets de type \"voiture\". Par exemple, cette fonction est souvent utilisée pour lire les plaques des véhicules empruntant une allée ou une rue."
+      "desc": "Frigate identifie les plaques d'immatriculation des véhicules et peut automatiquement insérer les caractères détectés dans le champ recognized_license_plate. Il est également capable d'assigner un nom familier comme sous-étiquette aux objets de type \"voiture\". Par exemple, cette fonction est souvent utilisée pour lire les plaques des véhicules empruntant une allée ou une rue."
     },
     "toast": {
       "error": "Échec de l'enregistrement des modifications de configuration : {{errorMessage}}",
-      "success": "Les paramètres d'enrichissements ont été enregistrés. Redémarrez Frigate pour appliquer les modifications."
+      "success": "Les paramètres d'enrichissements ont été enregistrés. Redémarrez Frigate pour appliquer vos modifications."
     },
     "restart_required": "Redémarrage nécessaire (paramètres d'enrichissements modifiés)"
   },
   "triggers": {
     "documentTitle": "Déclencheurs",
     "management": {
-      "title": "Gestion des déclencheurs",
+      "title": "Déclencheurs",
       "desc": "Gérer les déclencheurs pour {{camera}}. Utilisez le type vignette pour déclencher à partir de vignettes similaires à l'objet suivi sélectionné. Utilisez le type description pour déclencher à partir de textes de description similaires que vous avez spécifiés."
     },
     "addTrigger": "Ajouter un déclencheur",
@@ -751,7 +783,7 @@
       "threshold": "Seuil",
       "actions": "Actions",
       "noTriggers": "Aucun déclencheur configuré pour cette caméra.",
-      "edit": "Éditer",
+      "edit": "Modifier",
       "deleteTrigger": "Supprimer le déclencheur",
       "lastTriggered": "Dernier déclencheur"
     },
@@ -761,7 +793,9 @@
     },
     "actions": {
       "alert": "Marquer comme alerte",
-      "notification": "Envoyer une notification"
+      "notification": "Envoyer une notification",
+      "sub_label": "Ajouter une sous-étiquette",
+      "attribute": "Ajouter un attribut"
     },
     "dialog": {
       "createTrigger": {
@@ -769,8 +803,8 @@
         "desc": "Créer un déclencheur pour la caméra {{camera}}"
       },
       "editTrigger": {
-        "title": "Éditer le déclencheur",
-        "desc": "Éditer les paramètres du déclencheur de la caméra {{camera}}"
+        "title": "Modifier le déclencheur",
+        "desc": "Modifier les paramètres du déclencheur de la caméra {{camera}}"
       },
       "deleteTrigger": {
         "title": "Supprimer le déclencheur",
@@ -779,25 +813,28 @@
       "form": {
         "name": {
           "title": "Nom",
-          "placeholder": "Entrez le nom du déclencheur",
+          "placeholder": "Nommez ce déclencheur",
           "error": {
-            "minLength": "Le nom soit comporter au moins deux caractères.",
-            "invalidCharacters": "Le nom peut contenir uniquement des lettres, des nombres, des tirets bas, et des tirets.",
+            "minLength": "Le champ doit comporter au moins deux caractères.",
+            "invalidCharacters": "Le champ peut contenir uniquement des lettres, des nombres, des tirets bas, et des tirets.",
             "alreadyExists": "Un déclencheur avec le même nom existe déjà pour cette caméra."
-          }
+          },
+          "description": "Saisissez un nom ou une description unique pour identifier ce déclencheur."
         },
         "enabled": {
           "description": "Activer ou désactiver ce déclencheur"
         },
         "type": {
           "title": "Type",
-          "placeholder": "Sélectionner un type de déclencheur"
+          "placeholder": "Sélectionner un type de déclencheur",
+          "description": "Déclencher lorsqu'une description d'objet suivi similaire est détectée",
+          "thumbnail": "Déclencher lorsqu'une vignette d'objet suivi similaire est détectée"
         },
         "content": {
           "title": "Contenu",
-          "imagePlaceholder": "Sélectionner une image",
+          "imagePlaceholder": "Sélectionner une vignette",
           "textPlaceholder": "Saisir le contenu du texte",
-          "imageDesc": "Sélectionnez une image pour déclencher cette action lorsqu'une image similaire est détectée.",
+          "imageDesc": "Seules les 100 vignettes les plus récentes sont affichées. Si vous ne trouvez pas la vignette souhaitée, veuillez consulter les objets précédents dans Explorer et configurer un déclencheur à partir de ce menu.",
           "textDesc": "Entrez un texte pour déclencher cette action lorsqu'une description similaire d'objet suivi est détectée.",
           "error": {
             "required": "Le contenu est requis."
@@ -808,14 +845,20 @@
           "error": {
             "min": "Le seuil doit être au moins 0",
             "max": "Le seuil peut être au plus 1"
-          }
+          },
+          "desc": "Définissez le seuil de similarité pour ce déclencheur. Un seuil plus élevé signifie qu'une correspondance plus exacte est requise pour activer le déclencheur."
         },
         "actions": {
           "title": "Actions",
-          "desc": "Par défaut, Frigate publie un message MQTT à chaque déclenchement. Sélectionnez une action complémentaire à exécuter lors de ce déclenchement.",
+          "desc": "Par défaut, Frigate envoie un message MQTT pour tous les déclencheurs. Les sous-étiquettes ajoutent le nom du déclencheur à l'étiquette de l'objet. Les attributs sont des métadonnées recherchables stockées séparément dans les métadonnées de l'objet suivi.",
           "error": {
             "min": "Au moins une action doit être sélectionnée."
           }
+        },
+        "friendly_name": {
+          "title": "Nom convivial",
+          "placeholder": "Nommez ou décrivez ce déclencheur",
+          "description": "Nom convivial ou texte descriptif facultatif pour ce déclencheur."
         }
       }
     },
@@ -830,12 +873,33 @@
         "updateTriggerFailed": "Échec de la mise à jour du déclencheur : {{errorMessage}}",
         "deleteTriggerFailed": "Échec de la suppression du déclencheur : {{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "title": "La recherche sémantique est désactivée",
+      "desc": "La recherche sémantique doit être activée pour utiliser les déclencheurs."
+    },
+    "wizard": {
+      "title": "Créer un déclencheur",
+      "step1": {
+        "description": "Configurez les paramètres de base pour votre déclencheur."
+      },
+      "step2": {
+        "description": "Configurez le contenu qui déclenchera cette action."
+      },
+      "step3": {
+        "description": "Configurez le seuil et les actions pour ce déclencheur."
+      },
+      "steps": {
+        "nameAndType": "Nom et type",
+        "configureData": "Configuration des données",
+        "thresholdAndActions": "Seuil et actions"
+      }
     }
   },
   "roles": {
     "management": {
-      "title": "Gestion des rôles de visionnage",
-      "desc": "Gérer les rôles personnalisés de visionnage et leurs permissions d'accès aux caméras pour cette instance de Frigate."
+      "title": "Gestion des rôles Observateur",
+      "desc": "Gérer les rôles Observateur personnalisés et leurs permissions d'accès aux caméras pour cette instance de Frigate."
     },
     "addRole": "Ajouter un rôle",
     "table": {
@@ -843,7 +907,7 @@
       "cameras": "Caméras",
       "actions": "Actions",
       "noRoles": "Aucun rôle personnalisé trouvé.",
-      "editCameras": "Éditer les caméras",
+      "editCameras": "Modifier les caméras",
       "deleteRole": "Supprimer le rôle"
     },
     "toast": {
@@ -851,7 +915,9 @@
         "createRole": "Rôle {{role}} créé avec succès",
         "updateCameras": "Caméras mis à jour pour le rôle {{role}}",
         "deleteRole": "Rôle {{role}} supprimé avec succès",
-        "userRolesUpdated": "{{count}} utilisateurs affectés à ce rôle ont été mis à jour avec des droits 'visionnage', et ont accès à toutes les caméras."
+        "userRolesUpdated_one": "{{count}} utilisateur affecté à ce rôle a été mis à jour avec des droits \"Observateur\", et a accès à toutes les caméras.",
+        "userRolesUpdated_many": "{{count}} utilisateurs affectés à ce rôle ont été mis à jour avec des droits \"Observateur\", et ont accès à toutes les caméras.",
+        "userRolesUpdated_other": "{{count}} utilisateurs affectés à ce rôle ont été mis à jour avec des droits \"Observateur\", et ont accès à toutes les caméras."
       },
       "error": {
         "createRoleFailed": "Échec dans la création du rôle : {{errorMessage}}",
@@ -866,22 +932,22 @@
         "desc": "Ajouter un nouveau rôle et définir les permissions d'accès à la caméra."
       },
       "editCameras": {
-        "title": "Editer les caméras du rôle",
+        "title": "Modifier les caméras du rôle",
         "desc": "Mettre à jour les accès aux caméras pour le rôle <strong>{{role}}</strong>."
       },
       "deleteRole": {
         "title": "Suppression du rôle",
-        "desc": "Cette action est irréversible. Elle supprimera définitivement le rôle et tous les utilisateurs associés seront affectés au rôle 'visionnage', avec un accès à toutes les caméras.",
+        "desc": "Cette action est irréversible. Elle supprimera définitivement le rôle et tous les utilisateurs associés seront affectés au rôle \"Observateur\", avec un accès à toutes les caméras.",
         "warn": "Êtes-vous sûr de vouloir supprimer <strong>{{role}}</strong> ?",
         "deleting": "En cours de suppression..."
       },
       "form": {
         "role": {
           "title": "Nom du rôle",
-          "placeholder": "Saisissez un nom de rôle",
-          "desc": "Seuls les lettres, nombres, points et tirets bas sont autorisés.",
+          "placeholder": "Saisissez un nom de rôle.",
+          "desc": "Seuls les lettres, les chiffres, les points et les traits de soulignement sont autorisés.",
           "roleIsRequired": "Un nom de rôle est requis",
-          "roleOnlyInclude": "Le nom de rôle peut uniquement contenir des lettres, nombres, . ou _",
+          "roleOnlyInclude": "Le nom de rôle ne peut inclure que des lettres, des chiffres, des points (.) ou des traits de soulignement (_).",
           "roleExists": "Un rôle avec ce nom existe déjà."
         },
         "cameras": {
@@ -891,5 +957,358 @@
         }
       }
     }
+  },
+  "cameraWizard": {
+    "title": "Ajouter une caméra",
+    "description": "Suivez les étapes ci-dessous pour ajouter une nouvelle caméra à votre installation Frigate.",
+    "steps": {
+      "nameAndConnection": "Nom et connexion",
+      "streamConfiguration": "Configuration du flux",
+      "validationAndTesting": "Validation et tests",
+      "probeOrSnapshot": "Sondage ou Instantané"
+    },
+    "save": {
+      "success": "Nouvelle caméra {{cameraName}} enregistrée avec succès",
+      "failure": "Échec lors de l'enregistrement de {{cameraName}}"
+    },
+    "testResultLabels": {
+      "resolution": "Résolution",
+      "video": "Vidéo",
+      "audio": "Audio",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Veuillez saisir une URL de flux valide.",
+      "testFailed": "Échec du test de flux : {{error}}"
+    },
+    "step1": {
+      "description": "Saisissez les détails de votre caméra et choisissez d'interroger la caméra ou de sélectionner manuellement la marque.",
+      "cameraName": "Nom de la caméra",
+      "cameraNamePlaceholder": "par ex., porte_entree ou apercu_cour_arriere",
+      "host": "Hôte / Adresse IP",
+      "port": "Port",
+      "username": "Nom d'utilisateur",
+      "usernamePlaceholder": "Facultatif",
+      "password": "Mot de passe",
+      "passwordPlaceholder": "Facultatif",
+      "selectTransport": "Sélectionnez le protocole de transport.",
+      "cameraBrand": "Marque de la caméra",
+      "selectBrand": "Sélectionnez la marque de la caméra pour déterminer la forme de l'URL.",
+      "customUrl": "URL de flux personnalisé",
+      "brandInformation": "Information sur la marque",
+      "brandUrlFormat": "Pour les caméras avec un format d'URL RTSP comme : {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://nomutilisateur:motdepasse@hote:port/chemin",
+      "testConnection": "Tester la connexion",
+      "testSuccess": "Test de connexion réussi !",
+      "testFailed": "Échec du test de connexion. Veuillez vérifier votre saisie et réessayez.",
+      "streamDetails": "Détails du flux",
+      "warnings": {
+        "noSnapshot": "Impossible de récupérer un instantané à partir du flux configuré"
+      },
+      "errors": {
+        "brandOrCustomUrlRequired": "Sélectionnez une marque de caméra avec hôte/IP ou choisissez « Autre » avec une URL personnalisée.",
+        "nameRequired": "Le nom de la caméra est requis.",
+        "nameLength": "Le nom de la caméra ne doit pas dépasser 64 caractères.",
+        "invalidCharacters": "Le nom de la caméra contient des caractères invalides.",
+        "nameExists": "Ce nom de caméra est déjà utilisé.",
+        "brands": {
+          "reolink-rtsp": "Le protocole RTSP de Reolink est déconseillé. Activez le protocole HTTP dans les paramètres du firmware de la caméra, puis relancez l'assistant."
+        },
+        "customUrlRtspRequired": "Les URL personnalisées doivent commencer par \"rtsp://\". Une configuration manuelle est requise pour les flux de caméra non-RTSP."
+      },
+      "docs": {
+        "reolink": "https://docs.frigate.video/configuration/camera_specific.html#reolink-cameras"
+      },
+      "testing": {
+        "probingMetadata": "Vérification des métadonnées de la caméra en cours...",
+        "fetchingSnapshot": "Récupération de l'instantané de la caméra en cours..."
+      },
+      "connectionSettings": "Paramètres de connexion",
+      "detectionMethod": "Méthode de détection du flux",
+      "onvifPort": "Port ONVIF",
+      "probeMode": "Interroger la caméra",
+      "manualMode": "Sélection manuelle",
+      "detectionMethodDescription": "Interrogez la caméra avec ONVIF (si pris en charge) pour trouver les URL de flux de la caméra, ou sélectionnez manuellement la marque de la caméra pour utiliser des URL prédéfinies. Pour saisir une URL RTSP personnalisée, choisissez la méthode manuelle et sélectionnez \"Autre\".",
+      "onvifPortDescription": "Pour les caméras prenant en charge ONVIF, il s'agit généralement de 80 ou 8080.",
+      "useDigestAuth": "Utiliser l'authentification Digest",
+      "useDigestAuthDescription": "Utilisez l'authentification Digest HTTP pour ONVIF. Certaines caméras peuvent nécessiter un nom d'utilisateur/mot de passe ONVIF dédié au lieu de l'utilisateur administrateur standard."
+    },
+    "step2": {
+      "description": "Interrogez la caméra pour les flux disponibles ou configurez des paramètres manuels en fonction de la méthode de détection sélectionnée.",
+      "streamsTitle": "Flux de caméra",
+      "addStream": "Ajouter un flux",
+      "addAnotherStream": "Ajouter un autre flux",
+      "streamTitle": "Flux {{number}}",
+      "streamUrl": "URL du flux",
+      "streamUrlPlaceholder": "rtsp://nomutilisateur:motdepasse@hote:port/chemin",
+      "url": "URL",
+      "resolution": "Résolution",
+      "selectResolution": "Sélectionnez la résolution.",
+      "quality": "Qualité",
+      "selectQuality": "Sélectionnez la qualité.",
+      "roles": "Rôles",
+      "roleLabels": {
+        "record": "Enregistrement",
+        "audio": "Audio",
+        "detect": "Détection d'objets"
+      },
+      "testStream": "Tester la connexion",
+      "testSuccess": "Test de connexion réussi !",
+      "testFailed": "Échec du test de connexion. Veuillez vérifier votre saisie et réessayer.",
+      "testFailedTitle": "Échec du test",
+      "connected": "Connecté",
+      "notConnected": "Non connecté",
+      "featuresTitle": "Caractéristiques",
+      "go2rtc": "Réduire le nombre de connexions à la caméra",
+      "detectRoleWarning": "Pour continuer, au moins un flux doit avoir le rôle \"détection\".",
+      "rolesPopover": {
+        "title": "Rôles du flux",
+        "detect": "Flux principal pour la détection d'objets",
+        "record": "Enregistre des extraits du flux vidéo en fonction des paramètres de configuration.",
+        "audio": "Flux pour la détection audio"
+      },
+      "featuresPopover": {
+        "title": "Fonctionnalités du flux",
+        "description": "Utilisez la rediffusion du flux go2rtc pour réduire le nombre de connexions à votre caméra."
+      },
+      "streamDetails": "Détails du flux",
+      "probing": "Interrogation de la caméra en cours...",
+      "retry": "Réessayer",
+      "testing": {
+        "probingMetadata": "Interrogation des métadonnées de la caméra en cours...",
+        "fetchingSnapshot": "Récupération de l'instantané de la caméra en cours..."
+      },
+      "probeFailed": "Impossible d'interroger la caméra : {{error}}",
+      "probingDevice": "Interrogation de l'appareil en cours...",
+      "probeSuccessful": "Interrogation réussie",
+      "probeError": "Erreur d'interrogation",
+      "probeNoSuccess": "Échec de l'interrogation",
+      "deviceInfo": "Informations sur l'appareil",
+      "manufacturer": "Fabricant",
+      "model": "Modèle",
+      "firmware": "Micrologiciel",
+      "profiles": "Profils",
+      "ptzSupport": "Prise en charge PTZ",
+      "autotrackingSupport": "Prise en charge du suivi automatique",
+      "presets": "Préréglages",
+      "rtspCandidates": "Candidats RTSP",
+      "rtspCandidatesDescription": "Les URL RTSP suivantes ont été trouvées lors de l'interrogation de la caméra. Testez la connexion pour afficher les métadonnées du flux.",
+      "noRtspCandidates": "Aucune URL RTSP n'a été trouvée sur la caméra. Vos identifiants sont peut-être incorrects, ou la caméra ne prend peut-être pas en charge ONVIF ou la méthode utilisée pour récupérer les URL RTSP. Revenez en arrière et saisissez l'URL RTSP manuellement.",
+      "candidateStreamTitle": "Candidat {{number}}",
+      "useCandidate": "Utiliser",
+      "uriCopy": "Copier",
+      "uriCopied": "URI copiée dans le presse-papiers",
+      "testConnection": "Tester la connexion",
+      "toggleUriView": "Cliquer pour basculer l'affichage de l'URI complet",
+      "errors": {
+        "hostRequired": "L'hôte/adresse IP est requis."
+      }
+    },
+    "step3": {
+      "description": "Configurez les rôles des flux et ajoutez des flux supplémentaires pour votre caméra.",
+      "validationTitle": "Validation du flux",
+      "connectAllStreams": "Connecter tous les flux",
+      "reconnectionSuccess": "Reconnexion réussie.",
+      "reconnectionPartial": "La reconnexion de certains flux a échoué.",
+      "streamUnavailable": "Aperçu du flux indisponible",
+      "reload": "Recharger",
+      "connecting": "Connexion en cours...",
+      "streamTitle": "Flux {{number}}",
+      "failed": "Échec",
+      "notTested": "Non testé",
+      "connectStream": "Connecter",
+      "connectingStream": "Connexion en cours",
+      "disconnectStream": "Déconnecter",
+      "estimatedBandwidth": "Débit estimé",
+      "roles": "Rôles",
+      "none": "Aucun",
+      "error": "Erreur",
+      "streamValidated": "Flux {{number}} validé avec succès",
+      "streamValidationFailed": "La validation du flux {{number}} a échoué",
+      "saveAndApply": "Enregistrer une nouvelle caméra",
+      "saveError": "Configuration invalide. Veuillez vérifier vos paramètres.",
+      "issues": {
+        "title": "Validation du flux",
+        "videoCodecGood": "Le codec vidéo est {{codec}}.",
+        "audioCodecGood": "Le codec audio est {{codec}}.",
+        "noAudioWarning": "Aucun son n'est détecté sur ce flux, les enregistrements seront muets.",
+        "audioCodecRecordError": "Le codec audio AAC est requis pour la prise en charge du son dans les enregistrements.",
+        "audioCodecRequired": "Un flux audio est requis pour prendre en charge la détection audio.",
+        "restreamingWarning": "La réduction des connexions à la caméra pour le flux d'enregistrement peut augmenter légèrement l'utilisation du processeur.",
+        "dahua": {
+          "substreamWarning": "Le flux secondaire 1 est limité en basse résolution. De nombreuses caméras (Dahua, Amcrest, EmpireTech...) proposent des flux supplémentaires qu'il suffit d'activer dans leurs propres paramètres. Il est recommandé de vérifier leur disponibilité et de les utiliser."
+        },
+        "hikvision": {
+          "substreamWarning": "Le flux secondaire 1 est limité en basse résolution. De nombreuses caméras Hikvision proposent des flux supplémentaires qu'il suffit d'activer dans leurs propres paramètres. Il est recommandé de vérifier leur disponibilité et de les utiliser."
+        },
+        "resolutionHigh": "La résolution {{resolution}} risque d'augmenter l'utilisation des ressources.",
+        "resolutionLow": "La résolution {{resolution}} risque d'être trop faible pour détecter les petits objets de manière fiable."
+      },
+      "valid": "Valide",
+      "ffmpegModule": "Utiliser le mode de compatibilité du flux",
+      "ffmpegModuleDescription": "Si le flux ne se charge pas après plusieurs tentatives, essayez d'activer cette option. Lorsqu'elle est activée, Frigate utilisera le module ffmpeg avec go2rtc. Cela peut offrir une meilleure compatibilité avec certains flux de caméra.",
+      "streamsTitle": "Flux de la caméra",
+      "addStream": "Ajouter un flux",
+      "addAnotherStream": "Ajouter un autre flux",
+      "streamUrl": "URL du flux",
+      "streamUrlPlaceholder": "rtsp://nomdutilisateur:motdepasse@hote:port/chemin",
+      "selectStream": "Sélectionner un flux",
+      "searchCandidates": "Rechercher des candidats",
+      "noStreamFound": "Aucun flux trouvé",
+      "url": "URL",
+      "resolution": "Résolution",
+      "selectResolution": "Sélectionner la résolution",
+      "quality": "Qualité",
+      "selectQuality": "Sélectionner la qualité",
+      "roleLabels": {
+        "detect": "Détection d'objet",
+        "record": "Enregistrement",
+        "audio": "Audio"
+      },
+      "testStream": "Tester la connexion",
+      "testSuccess": "Test du flux réussi !",
+      "testFailed": "Échec du test du flux",
+      "testFailedTitle": "Échec du test",
+      "connected": "Connecté",
+      "notConnected": "Non connecté",
+      "featuresTitle": "Fonctionnalités",
+      "go2rtc": "Réduire les connexions à la caméra",
+      "detectRoleWarning": "Au moins un flux doit avoir le rôle 'détection' pour continuer.",
+      "rolesPopover": {
+        "title": "Rôles du flux",
+        "detect": "Flux principal pour la détection d'objet",
+        "record": "Enregistre des segments du flux vidéo en fonction des paramètres de configuration",
+        "audio": "Flux pour la détection basée sur l'audio"
+      },
+      "featuresPopover": {
+        "title": "Fonctionnalités du flux",
+        "description": "Utiliser la rediffusion go2rtc pour réduire les connexions à votre caméra"
+      }
+    },
+    "step4": {
+      "description": "Validation et analyse finales avant d'enregistrer votre nouvelle caméra. Connectez chaque flux avant d'enregistrer.",
+      "validationTitle": "Validation du flux",
+      "connectAllStreams": "Connecter tous les flux",
+      "reconnectionSuccess": "Reconnexion réussie",
+      "reconnectionPartial": "Certains flux n'ont pas réussi à se reconnecter.",
+      "streamUnavailable": "Aperçu du flux non disponible",
+      "reload": "Recharger",
+      "connecting": "En cours de connexion...",
+      "streamTitle": "Flux {{number}}",
+      "valid": "Valide",
+      "failed": "Échec",
+      "notTested": "Non testé",
+      "connectStream": "Connecter",
+      "connectingStream": "En cours de connexion",
+      "disconnectStream": "Déconnecter",
+      "estimatedBandwidth": "Bande passante estimée",
+      "roles": "Rôles",
+      "ffmpegModule": "Utiliser le mode de compatibilité du flux",
+      "ffmpegModuleDescription": "Si le flux ne se charge pas après plusieurs tentatives, essayez d'activer cette option. Lorsqu'elle est activée, Frigate utilisera le module ffmpeg avec go2rtc. Cela peut offrir une meilleure compatibilité avec certains flux de caméra.",
+      "none": "Aucun",
+      "error": "Erreur",
+      "streamValidated": "Flux {{number}} validé avec succès",
+      "streamValidationFailed": "Échec de la validation du flux {{number}}",
+      "saveAndApply": "Enregistrer la nouvelle caméra",
+      "saveError": "Configuration invalide. Veuillez vérifier vos paramètres.",
+      "issues": {
+        "title": "Validation du flux",
+        "videoCodecGood": "Le codec vidéo est {{codec}}.",
+        "audioCodecGood": "Le codec audio est {{codec}}.",
+        "resolutionHigh": "Une résolution de {{resolution}} peut entraîner une utilisation accrue des ressources.",
+        "resolutionLow": "Une résolution de {{resolution}} peut être trop faible pour une détection fiable des petits objets.",
+        "noAudioWarning": "Aucun audio détecté pour ce flux, les enregistrements n'auront pas de son.",
+        "audioCodecRecordError": "Le codec audio AAC est requis pour prendre en charge l'audio dans les enregistrements.",
+        "audioCodecRequired": "Un flux audio est requis pour prendre en charge la détection audio.",
+        "restreamingWarning": "Réduire les connexions à la caméra pour le flux d'enregistrement peut légèrement augmenter l'utilisation du processeur.",
+        "brands": {
+          "reolink-rtsp": "Le RTSP Reolink n'est pas recommandé. Activez HTTP dans les paramètres du micrologiciel de la caméra et redémarrez l'assistant.",
+          "reolink-http": "Les flux HTTP de Reolink devraient utiliser FFmpeg pour une meilleure compatibilité. Activez 'Utiliser le mode de compatibilité du flux' pour ce flux."
+        },
+        "dahua": {
+          "substreamWarning": "Le sous-flux 1 est limité à une basse résolution. De nombreuses caméras Dahua / Amcrest / EmpireTech prennent en charge des sous-flux supplémentaires qui doivent être activés dans les paramètres de la caméra. Il est recommandé de vérifier et d'utiliser ces flux s'ils sont disponibles."
+        },
+        "hikvision": {
+          "substreamWarning": "Le sous-flux 1 est limité à une basse résolution. De nombreuses caméras Hikvision prennent en charge des sous-flux supplémentaires qui doivent être activés dans les paramètres de la caméra. Il est recommandé de vérifier et d'utiliser ces flux s'ils sont disponibles."
+        }
+      }
+    }
+  },
+  "cameraManagement": {
+    "title": "Gérer les caméras",
+    "addCamera": "Ajouter une nouvelle caméra",
+    "editCamera": "Modifier la caméra :",
+    "selectCamera": "Sélectionnez une caméra",
+    "backToSettings": "Retour aux paramètres de la caméra",
+    "streams": {
+      "title": "Activer / désactiver les caméras",
+      "desc": "Désactive temporairement une caméra jusqu'au redémarrage de Frigate. La désactivation d'une caméra interrompt complètement le traitement des flux de la caméra par Frigate. La détection, l'enregistrement et le débogage deviennent alors indisponibles.<br /><em>Remarque : cela n'affecte pas les rediffusions des flux go2rtc.</em>"
+    },
+    "cameraConfig": {
+      "add": "Ajouter une caméra",
+      "edit": "Modifier la caméra",
+      "description": "Configurez les paramètres de la caméra, notamment les flux entrants et les rôles.",
+      "name": "Nom de la caméra",
+      "nameRequired": "Le nom de la caméra est requis",
+      "nameLength": "Le nom de la caméra doit comporter moins de 64 caractères.",
+      "namePlaceholder": "par exemple, porte d'entrée ou aperçu de la cour arrière",
+      "enabled": "Activé",
+      "ffmpeg": {
+        "inputs": "Flux d'entrée",
+        "path": "Chemin du flux",
+        "pathRequired": "Chemin du flux requis",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "Rôles",
+        "rolesRequired": "Au moins un rôle est requis",
+        "rolesUnique": "Chaque rôle (audio, détection, enregistrement) ne peut être attribué qu'à un seul flux",
+        "addInput": "Ajouter un flux d'entrée",
+        "removeInput": "Supprimer le flux d'entrée",
+        "inputsRequired": "Au moins un flux d'entrée est requis"
+      },
+      "go2rtcStreams": "Flux go2rtc",
+      "streamUrls": "URL des flux",
+      "addUrl": "Ajouter une URL",
+      "addGo2rtcStream": "Ajouter un flux go2rtc",
+      "toast": {
+        "success": "La caméra {{cameraName}} a été enregistrée avec succès"
+      }
+    }
+  },
+  "cameraReview": {
+    "title": "Paramètres des activités caméra",
+    "object_descriptions": {
+      "title": "Descriptions d'objets par l'IA générative",
+      "desc": "Active ou désactive temporairement les descriptions d'objets générées par l'IA générative pour cette caméra. Lorsque cette option est désactivée, aucune description par l'IA n'est générée pour les objets suivis sur cette caméra."
+    },
+    "review_descriptions": {
+      "title": "Descriptions des activités par l'IA générative",
+      "desc": "Active ou désactive temporairement les descriptions par l'IA générative pour cette caméra. Lorsque cette option est désactivée, aucune description nouvelle n'est générée pour les activités sur cette caméra."
+    },
+    "review": {
+      "title": "Activités",
+      "desc": "Active ou désactive temporairement les alertes et les détections pour cette caméra jusqu'au redémarrage de Frigate. Lorsque cette option est désactivée, aucune activité nouvelle n'est générée. ",
+      "alerts": "Alertes ",
+      "detections": "Détections "
+    },
+    "reviewClassification": {
+      "title": "Classification des activités",
+      "desc": "Frigate classe les activités en deux catégories : \"Alertes\" et \"Détections\". Par défaut, les objets de type <em>personne</em> et <em>voiture</em> sont considérés comme des \"Alertes\". Vous pouvez affiner cette classification en définissant des zones spécifiques pour chaque objet.",
+      "noDefinedZones": "Aucune zone n'est définie pour cette caméra.",
+      "objectAlertsTips": "Sur la caméra {{cameraName}}, tous les objets {{alertsLabels}} apparaîtront en tant qu'\"Alertes\".",
+      "zoneObjectAlertsTips": "Sur la caméra {{cameraName}}, tous les objets {{alertsLabels}} détectés dans la zone {{zone}} apparaîtront en tant qu'\"Alertes\".",
+      "objectDetectionsTips": "Sur la caméra {{cameraName}}, tous les objets {{detectionsLabels}} non catégorisés apparaîtront en tant que \"Détections\", peu importe leur zone.",
+      "zoneObjectDetectionsTips": {
+        "text": "Sur la caméra {{cameraName}}, tous les objets {{detectionsLabels}} non catégorisés dans la zone {{zone}} apparaîtront en tant que \"Détections\".",
+        "notSelectDetections": "Sur la caméra {{cameraName}}, tous les objets {{detectionsLabels}} détectés dans la zone {{zone}} qui ne sont pas catégorisés comme \"Alertes\" apparaîtront en tant que \"Détections\", et ce, quelle que soit leur zone.",
+        "regardlessOfZoneObjectDetectionsTips": "Sur la caméra {{cameraName}}, tous les objets {{detectionsLabels}} non catégorisés apparaîtront en tant que \"Détections\", peu importe leur zone."
+      },
+      "unsavedChanges": "Paramètres de classification des activités non enregistrés pour {{camera}}",
+      "selectAlertsZones": "Sélectionnez les zones pour les alertes",
+      "selectDetectionsZones": "Sélectionner les zones pour les détections",
+      "limitDetections": "Limiter les détections à des zones spécifiques",
+      "toast": {
+        "success": "La configuration de la classification des activités a été enregistrée. Redémarrez Frigate pour appliquer les modifications."
+      }
+    }
   }
 }
diff --git a/web/public/locales/fr/views/system.json b/web/public/locales/fr/views/system.json
index cf9c1699e..fde436292 100644
--- a/web/public/locales/fr/views/system.json
+++ b/web/public/locales/fr/views/system.json
@@ -18,8 +18,8 @@
     },
     "copy": {
       "label": "Copier dans le presse-papiers",
-      "success": "Journaux copiés vers le presse-papiers",
-      "error": "Échec du copiage des journaux dans le presse-papiers"
+      "success": "Journaux copiés dans le presse-papiers",
+      "error": "Échec de la copie des journaux dans le presse-papiers"
     },
     "type": {
       "label": "Type",
@@ -27,7 +27,7 @@
       "tag": "Balise",
       "message": "Message"
     },
-    "tips": "Les logs sont diffusés en continu depuis le serveur",
+    "tips": "Les journaux sont diffusés en continu depuis le serveur",
     "toast": {
       "error": {
         "fetchingLogsFailed": "Erreur lors de la récupération des logs : {{errorMessage}}",
@@ -40,23 +40,23 @@
     "detector": {
       "title": "Détecteurs",
       "inferenceSpeed": "Vitesse d'inférence du détecteur",
-      "cpuUsage": "Utilisation processeur du détecteur",
+      "cpuUsage": "Utilisation CPU du détecteur",
       "memoryUsage": "Utilisation mémoire du détecteur",
       "temperature": "Température du détecteur",
-      "cpuUsageInformation": "Utilisation du processeur pour préparer les données avant et après leur passage dans les modèles de détection. Cette valeur ne mesure pas les calculs d'inférence, même si un GPU ou un autre accélérateur est utilisé."
+      "cpuUsageInformation": "Utilisation CPU pour préparer les données en entrée et en sortie des modèles de détection. Cette valeur ne mesure pas l'utilisation de l'inférence, même si un GPU ou un accélérateur est utilisé."
     },
     "hardwareInfo": {
-      "title": "Info matériel",
-      "gpuUsage": "Utilisation carte graphique",
-      "gpuMemory": "Mémoire carte graphique",
-      "gpuEncoder": "Encodeur carte graphique",
-      "gpuDecoder": "Décodeur carte graphique",
+      "title": "Informations sur le matériel",
+      "gpuUsage": "Utilisation du GPU",
+      "gpuMemory": "Mémoire du GPU",
+      "gpuEncoder": "Encodeur GPU",
+      "gpuDecoder": "Décodeur GPU",
       "gpuInfo": {
         "vainfoOutput": {
           "title": "Sortie Vainfo",
           "returnCode": "Code de retour : {{code}}",
-          "processOutput": "Tâche de sortie :",
-          "processError": "Erreur de tâche :"
+          "processOutput": "Sortie du processus :",
+          "processError": "Erreur du processus :"
         },
         "nvidiaSMIOutput": {
           "title": "Sortie Nvidia SMI",
@@ -66,22 +66,31 @@
           "driver": "Pilote : {{driver}}"
         },
         "copyInfo": {
-          "label": "Information de copie du GPU"
+          "label": "Copier les informations du GPU"
         },
         "toast": {
-          "success": "Informations GPU copiées dans le presse-papier"
+          "success": "Informations GPU copiées dans le presse-papiers"
         },
         "closeInfo": {
-          "label": "Information de fermeture du GPU"
+          "label": "Fermer les informations du GPU"
         }
       },
       "npuUsage": "Utilisation NPU",
-      "npuMemory": "Mémoire NPU"
+      "npuMemory": "Mémoire NPU",
+      "intelGpuWarning": {
+        "title": "Avertissement relatif aux statistiques du GPU Intel",
+        "message": "Statistiques du GPU non disponibles",
+        "description": "Il s'agit d'un bug connu de l'outil de statistiques GPU d'Intel (intel_gpu_top) : il peut afficher à tort une utilisation de 0 %, même lorsque l'accélération matérielle et la détection d'objets fonctionnent correctement sur l'iGPU. Ce problème ne vient pas de Frigate. Vous pouvez redémarrer l'hôte pour rétablir temporairement l'affichage et confirmer le fonctionnement du GPU. Les performances ne sont pas affectées."
+      }
     },
     "otherProcesses": {
-      "title": "Autres tâches",
-      "processCpuUsage": "Utilisation processeur des tâches",
-      "processMemoryUsage": "Utilisation mémoire des tâches"
+      "title": "Autres processus",
+      "processCpuUsage": "Utilisation CPU du processus",
+      "processMemoryUsage": "Utilisation mémoire du processus",
+      "series": {
+        "go2rtc": "go2rtc",
+        "recording": "enregistrement"
+      }
     }
   },
   "storage": {
@@ -89,78 +98,78 @@
     "recordings": {
       "title": "Enregistrements",
       "earliestRecording": "Enregistrement le plus ancien :",
-      "tips": "Cette valeur correspond au stockage total utilisé par les enregistrements dans la base de données Frigate. Frigate ne suit pas l'utilisation du stockage pour tous les fichiers sur votre disque."
+      "tips": "Cette valeur correspond au stockage total utilisé par les enregistrements dans la base de données Frigate. Frigate ne suit pas l'utilisation du stockage pour tous les fichiers de votre disque."
     },
     "cameraStorage": {
       "title": "Stockage de la caméra",
       "bandwidth": "Bande passante",
       "unused": {
         "title": "Inutilisé",
-        "tips": "Cette valeur ne représente peut-être pas précisément l'espace libre et utilisable par Frigate si vous avez d'autres fichiers stockés sur ce disque en plus des enregistrements Frigate. Frigate ne suit pas l'utilisation du stockage en dehors de ses propres enregistrements."
+        "tips": "Cette valeur peut ne pas représenter précisément l'espace libre disponible pour Frigate si d'autres fichiers sont stockés sur votre disque en plus des enregistrements Frigate. Frigate ne suit pas l'utilisation du stockage en dehors de ses enregistrements."
       },
       "percentageOfTotalUsed": "Pourcentage du total",
       "storageUsed": "Stockage",
       "camera": "Caméra",
-      "unusedStorageInformation": "Information sur le stockage non utilisé"
+      "unusedStorageInformation": "Informations sur le stockage non utilisé"
     },
     "overview": "Vue d'ensemble",
     "shm": {
       "title": "Allocation de mémoire partagée SHM",
-      "warning": "La taille actuelle de la SHM de {{total}} Mo est trop faible. Augmentez la au moins à {{min_shm}} Mo."
+      "warning": "La taille actuelle de la SHM de {{total}} Mo est trop petite. Augmentez-la au moins à {{min_shm}} Mo."
     }
   },
   "cameras": {
     "title": "Caméras",
     "info": {
-      "cameraProbeInfo": "{{camera}} Information récupérée depuis la caméra",
-      "fetching": "En cours de récupération des données de la caméra",
+      "cameraProbeInfo": "Informations de la sonde pour {{camera}}",
+      "fetching": "Récupération des données de la caméra en cours",
       "stream": "Flux {{idx}}",
-      "fps": "Images par seconde :",
+      "fps": "IPS :",
       "unknown": "Inconnu",
       "audio": "Audio :",
       "tips": {
-        "title": "Information récupérée depuis la caméra"
+        "title": "Informations de la sonde caméra"
       },
-      "streamDataFromFFPROBE": "Le flux de données est obtenu par <code>ffprobe</code>.",
+      "streamDataFromFFPROBE": "Les données du flux sont obtenues avec <code>ffprobe</code>.",
       "resolution": "Résolution :",
       "error": "Erreur : {{error}}",
       "codec": "Codec :",
       "video": "Vidéo :",
-      "aspectRatio": "ratio d'aspect"
+      "aspectRatio": "rapport d'aspect"
     },
     "framesAndDetections": "Images / Détections",
     "label": {
       "camera": "caméra",
-      "detect": "Détecter",
-      "skipped": "ignoré",
+      "detect": "détection",
+      "skipped": "ignorées",
       "ffmpeg": "FFmpeg",
       "capture": "capture",
       "cameraFfmpeg": "{{camName}} FFmpeg",
-      "cameraSkippedDetectionsPerSecond": "{{camName}} détections manquées par seconde",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} détections ignorées par seconde",
       "overallDetectionsPerSecond": "Moyenne de détections par seconde",
-      "overallFramesPerSecond": "Moyenne d'images par seconde",
-      "overallSkippedDetectionsPerSecond": "Moyenne de détections manquées par seconde",
+      "overallFramesPerSecond": "Moyenne d'images par seconde (IPS)",
+      "overallSkippedDetectionsPerSecond": "Moyenne de détections ignorées par seconde",
       "cameraCapture": "{{camName}} capture",
       "cameraDetect": "{{camName}} détection",
-      "cameraFramesPerSecond": "{{camName}} images par seconde",
+      "cameraFramesPerSecond": "{{camName}} images par seconde (IPS)",
       "cameraDetectionsPerSecond": "{{camName}} détections par seconde"
     },
     "overview": "Vue d'ensemble",
     "toast": {
       "success": {
-        "copyToClipboard": "Données récupérées copiées dans le presse-papier."
+        "copyToClipboard": "Données de la sonde copiées dans le presse-papiers"
       },
       "error": {
-        "unableToProbeCamera": "Impossible de récupérer des infos depuis la caméra : {{errorMessage}}"
+        "unableToProbeCamera": "Impossible d'interroger la caméra : {{errorMessage}}"
       }
     }
   },
   "lastRefreshed": "Dernier rafraichissement : ",
   "stats": {
     "ffmpegHighCpuUsage": "{{camera}} a un taux élevé d'utilisation processeur par FFmpeg ({{ffmpegAvg}}%)",
-    "detectHighCpuUsage": "{{camera}} a un taux élevé d'utilisation processeur ({{detectAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} : charge CPU détection élevée ({{detectAvg}}%)",
     "healthy": "Le système est sain",
-    "reindexingEmbeddings": "Réindexation des représentations numériques ({{processed}}% complété)",
+    "reindexingEmbeddings": "Réindexation des embeddings ({{processed}} % terminée)",
     "cameraIsOffline": "{{camera}} est hors ligne",
     "detectIsSlow": "{{detect}} est lent ({{speed}} ms)",
     "detectIsVerySlow": "{{detect}} est très lent ({{speed}} ms)",
@@ -170,17 +179,27 @@
     "title": "Enrichissements",
     "infPerSecond": "Inférences par seconde",
     "embeddings": {
-      "face_embedding_speed": "Vitesse de capture des données complémentaires de visage",
-      "text_embedding_speed": "Vitesse de capture des données complémentaire de texte",
-      "image_embedding_speed": "Vitesse de capture des données complémentaires à l'image",
+      "face_embedding_speed": "Vitesse de vectorisation des visages",
+      "text_embedding_speed": "Vitesse d'embedding de texte",
+      "image_embedding_speed": "Vitesse d'embedding d'image",
       "plate_recognition_speed": "Vitesse de reconnaissance des plaques d'immatriculation",
       "face_recognition_speed": "Vitesse de reconnaissance faciale",
       "plate_recognition": "Reconnaissance de plaques d'immatriculation",
-      "image_embedding": "Représentations numériques d'image",
+      "image_embedding": "Embedding d'image",
       "yolov9_plate_detection": "Détection de plaques d'immatriculation YOLOv9",
       "face_recognition": "Reconnaissance faciale",
-      "text_embedding": "Représentation numérique de texte",
-      "yolov9_plate_detection_speed": "Vitesse de détection de plaques d'immatriculation YOLOv9"
-    }
+      "text_embedding": "Vitesse d'embedding de visage",
+      "yolov9_plate_detection_speed": "Vitesse de détection de plaques d'immatriculation YOLOv9",
+      "review_description": "Description de l'activité",
+      "review_description_speed": "Vitesse de description des activités",
+      "review_description_events_per_second": "Description de l'activité",
+      "object_description": "Description de l'objet",
+      "object_description_speed": "Vitesse de la description d'objet",
+      "object_description_events_per_second": "Description de l'objet",
+      "classification": "Classification {{name}}",
+      "classification_speed": "Vitesse de classification {{name}}",
+      "classification_events_per_second": "Événements de classification par seconde {{name}}"
+    },
+    "averageInf": "Temps d'inférence moyen"
   }
 }
diff --git a/web/public/locales/gl/views/classificationModel.json b/web/public/locales/gl/views/classificationModel.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/gl/views/classificationModel.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/he/audio.json b/web/public/locales/he/audio.json
index f7369853c..711a8d338 100644
--- a/web/public/locales/he/audio.json
+++ b/web/public/locales/he/audio.json
@@ -18,7 +18,7 @@
   "humming": "זמזום",
   "groan": "אנקה",
   "grunt": "לנחור",
-  "whistling": "שריקה",
+  "whistling": "לשרוק",
   "breathing": "נשימה",
   "wheeze": "גניחה",
   "snoring": "נחירה",
@@ -69,7 +69,7 @@
   "fly": "זבוב",
   "buzz": "זמזם.",
   "frog": "צפרדע",
-  "croak": "קרקור.",
+  "croak": "קִרקוּר",
   "snake": "נחש",
   "rattle": "טרטור",
   "whale_vocalization": "קולות לוויתן",
@@ -81,7 +81,7 @@
   "bass_guitar": "גיטרה בס",
   "acoustic_guitar": "גיטרה אקוסטית",
   "steel_guitar": "גיטרה פלדה",
-  "tapping": "הקשה.",
+  "tapping": "להקיש",
   "strum": "פריטה",
   "banjo": "בנג'ו",
   "sitar": "סיטאר",
@@ -94,7 +94,7 @@
   "electronic_organ": "אורגן חשמלי",
   "hammond_organ": "עוגב המונד",
   "synthesizer": "סינתיסייזר",
-  "sampler": "דגם",
+  "sampler": "דוגם",
   "harpsichord": "צֶ'מבָּלוֹ",
   "percussion": "הַקָשָׁה",
   "boat": "סירה",
@@ -102,7 +102,7 @@
   "motorcycle": "אופנוע",
   "bus": "אוטובוס",
   "bicycle": "אופניים",
-  "train": "למד פנים",
+  "train": "אימון",
   "skateboard": "סקייטבורד",
   "camera": "מצלמה",
   "howl": "יללה",
@@ -189,7 +189,7 @@
   "church_bell": "פעמון כנסיה",
   "jingle_bell": "ג'ינגל בל",
   "bicycle_bell": "פעמון אופניים",
-  "chime": "צלצול",
+  "chime": "צִלצוּל",
   "wind_chime": "פעמון רוח",
   "harmonica": "הרמוניקה",
   "accordion": "אקורדיון",
@@ -341,7 +341,7 @@
   "microwave_oven": "מיקרוגל",
   "water_tap": "ברז מים",
   "bathtub": "אמבטיה",
-  "dishes": "כלים.",
+  "dishes": "מנות",
   "scissors": "מספריים",
   "toothbrush": "מברשת שיניים",
   "toilet_flush": "הורדת מים לאסלה",
@@ -355,7 +355,7 @@
   "computer_keyboard": "מקלדת מחשב",
   "writing": "כתיבה",
   "telephone_bell_ringing": "צלצול טלפון",
-  "ringtone": "צליל חיוג.",
+  "ringtone": "צלצול",
   "clock": "שעון",
   "telephone_dialing": "טלפון מחייג",
   "dial_tone": "צליל חיוג",
@@ -425,5 +425,79 @@
   "slam": "טריקה",
   "telephone": "טלפון",
   "tuning_fork": "מזלג כוונון",
-  "raindrop": "טיפות גשם"
+  "raindrop": "טיפות גשם",
+  "smash": "רסק",
+  "boiling": "רותח",
+  "sonar": "סונר",
+  "arrow": "חץ",
+  "whack": "מַהֲלוּמָה",
+  "sine_wave": "גל סינוס",
+  "harmonic": "הרמוניה",
+  "chirp_tone": "צליל ציוץ",
+  "pulse": "דוֹפֶק",
+  "inside": "בְּתוֹך",
+  "outside": "בחוץ",
+  "reverberation": "הִדהוּד",
+  "echo": "הד",
+  "noise": "רעש",
+  "mains_hum": "זמזום ראשי",
+  "distortion": "סַלְפָנוּת",
+  "sidetone": "צליל צדדי",
+  "cacophony": "קָקוֹפוֹניָה",
+  "throbbing": "פְּעִימָה",
+  "vibration": "רֶטֶט",
+  "sodeling": "מיזוג",
+  "change_ringing": "שינוי צלצול",
+  "shofar": "שופר",
+  "liquid": "נוזל",
+  "splash": "התזה",
+  "slosh": "שכשוך",
+  "squish": "מעיכה",
+  "drip": "טפטוף",
+  "pour": "לִשְׁפּוֹך",
+  "trickle": "לְטַפטֵף",
+  "gush": "פֶּרֶץ",
+  "fill": "מילוי",
+  "spray": "ריסוס",
+  "pump": "משאבה",
+  "stir": "בחישה",
+  "whoosh": "מהיר",
+  "thump": "חֲבָטָה",
+  "thunk": "תרועה",
+  "electronic_tuner": "מכוון אלקטרוני",
+  "effects_unit": "יחידת אפקטים",
+  "chorus_effect": "אפקט מקהלה",
+  "basketball_bounce": "קפיצת כדורסל",
+  "bang": "לִדפּוֹק",
+  "slap": "סְטִירָה",
+  "breaking": "שְׁבִירָה",
+  "bouncing": "הַקפָּצָה",
+  "whip": "שׁוֹט",
+  "flap": "מַדָף",
+  "scratch": "לְגַרֵד",
+  "scrape": "סריקה",
+  "rub": "שפשוף",
+  "roll": "גלגול",
+  "crushing": "מעיכה",
+  "crumpling": "קימוט",
+  "tearing": "קריעה",
+  "beep": "ביפ",
+  "ping": "פינג",
+  "ding": "דינג",
+  "clang": "צלצול מתכתי",
+  "squeal": "חריקה",
+  "creak": "חריקה",
+  "rustle": "רשרוש",
+  "whir": "זמזום",
+  "clatter": "רעש נקישות",
+  "chird": "Chird",
+  "sizzle": "צליל חריכה",
+  "clicking": "נקישות",
+  "clickety_clack": "נקישות רצופות",
+  "rumble": "רעם נמוך",
+  "plop": "פלופ",
+  "hum": "המהום",
+  "zing": "זמזום חד",
+  "boing": "בּוֹאִינְג (צליל קפיצי / אלסטי)",
+  "crunch": "חריקה / פיצוח"
 }
diff --git a/web/public/locales/he/common.json b/web/public/locales/he/common.json
index 813d44e51..1059ae300 100644
--- a/web/public/locales/he/common.json
+++ b/web/public/locales/he/common.json
@@ -78,7 +78,10 @@
       "12hour": "MMM d, yyyy"
     },
     "30minutes": "30 דקות",
-    "thisMonth": "החודש"
+    "thisMonth": "החודש",
+    "inProgress": "בתהליך",
+    "invalidStartTime": "זמן התחלה לא תקין",
+    "invalidEndTime": "זמן סיום לא תקין"
   },
   "unit": {
     "speed": {
@@ -88,10 +91,24 @@
     "length": {
       "feet": "רגל",
       "meters": "מטרים"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/hour",
+      "mbph": "MB/hour",
+      "gbph": "GB/hour"
     }
   },
   "label": {
-    "back": "אחורה"
+    "back": "אחורה",
+    "hide": "הסתר {{item}}",
+    "show": "הצג {{item}}",
+    "ID": "ID",
+    "none": "ללא",
+    "all": "הכל",
+    "other": "אחר"
   },
   "button": {
     "apply": "החל",
@@ -128,7 +145,8 @@
     "on": "פעיל",
     "download": "הורדה",
     "info": "מידע",
-    "next": "הבא"
+    "next": "הבא",
+    "continue": "המשך"
   },
   "menu": {
     "system": "מערכת",
@@ -229,7 +247,8 @@
       "current": "משתמש מחובר: {{user}}",
       "setPassword": "קביעת סיסמה",
       "title": "משתמש"
-    }
+    },
+    "classification": "סיווג"
   },
   "toast": {
     "copyUrlToClipboard": "כתובת האתר המועתקת.",
@@ -270,5 +289,17 @@
     "desc": "דף לא נמצא"
   },
   "selectItem": "בחירה:{{item}}",
-  "readTheDocumentation": "קרא את התיעוד"
+  "readTheDocumentation": "קרא את התיעוד",
+  "list": {
+    "two": "{{0}} ו־{{1}}",
+    "many": "{{items}}, ו־{{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "אופציונלי",
+    "internalID": "המזהה הפנימי ש־Frigate משתמש בו בהגדרות ובמסד הנתונים"
+  },
+  "information": {
+    "pixels": "{{area}}px"
+  }
 }
diff --git a/web/public/locales/he/components/auth.json b/web/public/locales/he/components/auth.json
index 17b28cba1..0f6caf3cf 100644
--- a/web/public/locales/he/components/auth.json
+++ b/web/public/locales/he/components/auth.json
@@ -10,6 +10,7 @@
       "webUnknownError": "שגיאה לא ידועה, בדוק את הלוגים.",
       "rateLimit": "חרגת מהמגבלת בקשות. נסה שוב מאוחר יותר.",
       "loginFailed": "ההתחברות נכשלה"
-    }
+    },
+    "firstTimeLogin": "מתחבר בפעם הראשונה? פרטי ההתחברות מודפסים בלוגים של פריגייט."
   }
 }
diff --git a/web/public/locales/he/components/camera.json b/web/public/locales/he/components/camera.json
index f9de9a6c1..184b192bd 100644
--- a/web/public/locales/he/components/camera.json
+++ b/web/public/locales/he/components/camera.json
@@ -41,7 +41,8 @@
           "label": "מצב תאימות",
           "desc": "הפעל אפשרות זו רק אם השידור החי של המצלמה שלך מציג עיוותים בצבע ויש לו קו אלכסוני בצד ימין של התמונה."
         }
-      }
+      },
+      "birdseye": "מבט על"
     },
     "edit": "ערכית קבוצת מצלמות",
     "delete": {
diff --git a/web/public/locales/he/components/dialog.json b/web/public/locales/he/components/dialog.json
index 472d3d541..85353b993 100644
--- a/web/public/locales/he/components/dialog.json
+++ b/web/public/locales/he/components/dialog.json
@@ -15,7 +15,8 @@
         "failed": "נכשל בהתחלת הייצוא: {{error}}",
         "noVaildTimeSelected": "לא נבחר טווח זמן תקף"
       },
-      "success": "הייצוא הוחל בהצלחה. הצג את הקובץ בתיקייה /ייצוא."
+      "success": "הייצוא התחיל בהצלחה. ניתן לצפות בקובץ בעמוד הייצוא.",
+      "view": "תצוגה"
     },
     "time": {
       "end": {
@@ -108,7 +109,16 @@
     "button": {
       "export": "ייצוא",
       "markAsReviewed": "סמן כסוקר",
-      "deleteNow": "מחיקה כעת"
+      "deleteNow": "מחיקה כעת",
+      "markAsUnreviewed": "סימון כלא נבדק"
     }
+  },
+  "imagePicker": {
+    "selectImage": "בחר תמונה ממוזערת של אובייקט במעקב",
+    "unknownLabel": "תמונת הטריגר נשמרה",
+    "search": {
+      "placeholder": "חיפוש לפי תווית או תווית משנה…"
+    },
+    "noImages": "לא נמצאו תמונות ממוזערות עבור מצלמה זו"
   }
 }
diff --git a/web/public/locales/he/components/filter.json b/web/public/locales/he/components/filter.json
index 2316722ca..b11aba954 100644
--- a/web/public/locales/he/components/filter.json
+++ b/web/public/locales/he/components/filter.json
@@ -1,11 +1,11 @@
 {
-  "filter": "לסנן",
+  "filter": "מסנן",
   "features": {
     "submittedToFrigatePlus": {
       "tips": "עליך תחילה לסנן לפי אובייקטים במעקב שיש להם תמונת מצב.<br /><br />לא ניתן לשלוח ל-Frigate+ אובייקטים במעקב ללא תמונת מצב.",
       "label": "העלאה ל- +Frigate"
     },
-    "label": "מאפיינים",
+    "label": "תכונות",
     "hasVideoClip": "קיים סרטון",
     "hasSnapshot": "קיימת לכידת תמונה"
   },
@@ -26,7 +26,7 @@
     }
   },
   "dates": {
-    "selectPreset": "בחר פריסט…",
+    "selectPreset": "בחר הגדרה…",
     "all": {
       "title": "כל התאריכים",
       "short": "תאריכים"
@@ -71,16 +71,16 @@
       "title": "הגדרות",
       "defaultView": {
         "summary": "סיכום",
-        "unfilteredGrid": "תצוגה מלאה",
+        "unfilteredGrid": "טבלה לא מסוננת",
         "title": "תצוגת ברירת מחדל",
         "desc": "כאשר לא נבחרו מסננים, הצג סיכום של האובייקטים האחרונים שעברו מעקב לפי תווית, או הצג רשת לא מסוננת."
       },
       "gridColumns": {
-        "title": "עמודות גריד",
-        "desc": "בחר את מספר העמודות בגריד."
+        "title": "עמודות טבלה",
+        "desc": "בחר את מספר העמודות בטבלה."
       },
       "searchSource": {
-        "label": "מקור חיפוש",
+        "label": "חיפוש במקור",
         "desc": "בחר אם לחפש בתמונות הממוזערות או בתיאורים של האובייקטים שבמעקב.",
         "options": {
           "thumbnailImage": "תמונה ממוזערת",
@@ -100,7 +100,7 @@
       "error": "מחיקת אובייקטים במעקב נכשלה: {{errorMessage}}"
     },
     "title": "אישור מחיקה",
-    "desc": "מחיקת אובייקטים אלה שעברו מעקב ({{objectLength}}) מסירה את לכידת התמונה, כל ההטמעות שנשמרו וכל ערכי שלבי האובייקט המשויכים. קטעי וידאו מוקלטים של אובייקטים אלה שעברו מעקב בתצוגת היסטוריה <em>לא</em> יימחקו.<br /><br />האם אתה בטוח שברצונך להמשיך?<br /><br />החזק את מקש <em>Shift</em> כדי לעקוף תיבת דו-שיח זו בעתיד."
+    "desc": "מחיקת אובייקטים אלה ({{objectLength}}) שעברו מעקב מסירה את לכידת התמונה, כל ההטמעות שנשמרו וכל ערכי שלבי האובייקט המשויכים. קטעי וידאו מוקלטים של אובייקטים אלה שעברו מעקב בתצוגת היסטוריה <em>לא</em> יימחקו.<br /><br />האם אתה בטוח שברצונך להמשיך?<br /><br />החזק את מקש <em>Shift</em> כדי לעקוף תיבת דו-שיח זו בעתיד."
   },
   "zoneMask": {
     "filterBy": "סינון לפי מיסוך אזור"
@@ -111,16 +111,30 @@
     "loading": "טוען לוחיות רישוי מזוהות…",
     "placeholder": "הקלד כדי לחפש לוחיות רישוי…",
     "noLicensePlatesFound": "לא נמצאו לוחיות רישוי.",
-    "selectPlatesFromList": "בחירת לוחית אחת או יותר מהרשימה."
+    "selectPlatesFromList": "בחירת לוחית אחת או יותר מהרשימה.",
+    "selectAll": "בחר הכל",
+    "clearAll": "נקה הכל"
   },
   "logSettings": {
     "label": "סינון רמת לוג",
-    "filterBySeverity": "סנן לוגים לפי חומרה",
+    "filterBySeverity": "סנן לוגים לפי חוּמרָה",
     "loading": {
       "title": "טוען",
-      "desc": "כאשר חלונית הלוגים גוללת לתחתית, לוגים חדשים מוזרמים אוטומטית עם הוספתם."
+      "desc": "כאשר חלונית הלוגים מגוללת לתחתית, לוגים חדשים מוזרמים אוטומטית עם הוספתם."
     },
     "disableLogStreaming": "השבתת זרימה של לוגים",
     "allLogs": "כל הלוגים"
+  },
+  "classes": {
+    "label": "מחלקות",
+    "all": {
+      "title": "כל המחלקות"
+    },
+    "count_one": "{{count}} מחלקה",
+    "count_other": "{{count}} מחלקות"
+  },
+  "attributes": {
+    "label": "מאפייני סיווג",
+    "all": "כל המאפיינים"
   }
 }
diff --git a/web/public/locales/he/objects.json b/web/public/locales/he/objects.json
index 68f648da0..65f00b1b7 100644
--- a/web/public/locales/he/objects.json
+++ b/web/public/locales/he/objects.json
@@ -5,7 +5,7 @@
   "motorcycle": "אופנוע",
   "airplane": "מטוס",
   "bus": "אוטובוס",
-  "train": "למד פנים",
+  "train": "אימון",
   "boat": "סירה",
   "traffic_light": "רמזור",
   "fire_hydrant": "ברז כיבוי אש",
diff --git a/web/public/locales/he/views/classificationModel.json b/web/public/locales/he/views/classificationModel.json
new file mode 100644
index 000000000..0e965eb74
--- /dev/null
+++ b/web/public/locales/he/views/classificationModel.json
@@ -0,0 +1,192 @@
+{
+  "documentTitle": "מודלי סיווג - Frigate",
+  "details": {
+    "scoreInfo": "הציון מייצג את ממוצע רמת הביטחון של הסיווג, על פני כל הזיהויים של האובייקט הזה.",
+    "none": "ללא ערך",
+    "unknown": "לא ידוע"
+  },
+  "button": {
+    "deleteClassificationAttempts": "מחיקת אוסף התמונות",
+    "renameCategory": "שינוי שם קטגוריה",
+    "deleteCategory": "מחיקת קטגוריה",
+    "deleteImages": "מחיקת תמונות",
+    "trainModel": "אימון מודל",
+    "addClassification": "הוספת סיווג",
+    "deleteModels": "מחיקת מודלים",
+    "editModel": "עריכת מודל"
+  },
+  "tooltip": {
+    "trainingInProgress": "המודל נמצא כרגע בתהליך אימון",
+    "noNewImages": "אין תמונות חדשות לאימון. קודם סווג עוד תמונות במערך הנתונים (Dataset).",
+    "noChanges": "לא בוצעו שינויים במערך הנתונים מאז האימון האחרון.",
+    "modelNotReady": "המודל עדיין לא מוכן לאימון"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "הקטגוריה נמחקה",
+      "deletedImage": "התמונות נמחקו",
+      "deletedModel_one": "נמחק בהצלחה {{count}} מודל",
+      "deletedModel_two": "נמחקו בהצלחה {{count}} מודלים",
+      "deletedModel_other": "",
+      "categorizedImage": "התמונה סווגה בהצלחה",
+      "trainedModel": "המודל אומן בהצלחה.",
+      "trainingModel": "אימון המודל התחיל בהצלחה.",
+      "updatedModel": "תצורת המודל עודכנה בהצלחה.",
+      "renamedCategory": "שם הקטגוריה שונה בהצלחה ל־{{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "המחיקה נכשלה: {{errorMessage}}",
+      "deleteCategoryFailed": "מחיקת הקטגוריה נכשלה: {{errorMessage}}",
+      "deleteModelFailed": "מחיקת המודל נכשלה: {{errorMessage}}",
+      "categorizeFailed": "סיווג התמונה נכשל: {{errorMessage}}",
+      "trainingFailed": "אימון המודל נכשל. בדוק בלוגים של Frigate לפרטים.",
+      "trainingFailedToStart": "הפעלת אימון המודל נכשלה: {{errorMessage}}",
+      "updateModelFailed": "עדכון המודל נכשל: {{errorMessage}}",
+      "renameCategoryFailed": "שינוי שם הקטגוריה נכשל: {{errorMessage}}"
+    }
+  },
+  "train": {
+    "titleShort": "לאחרונה",
+    "title": "סיווגים אחרונים",
+    "aria": "בחר סיווגים אחרונים"
+  },
+  "deleteCategory": {
+    "title": "מחיקת קטגוריה",
+    "desc": "האם אתה בטוח שברצונך למחוק את הקטגוריה {{name}}? פעולה זו תמחק לצמיתות את כל התמונות המשויכות, ותדרוש אימון מחדש של המודל.",
+    "minClassesTitle": "לא ניתן למחוק את הקטגוריה",
+    "minClassesDesc": "מודל סיווג חייב לכלול לפחות 2 קטגוריות. הוסף קטגוריה נוספת לפני שתמחק את הקטגוריה הזו."
+  },
+  "deleteModel": {
+    "title": "מחיקת מודל סיווג",
+    "single": "האם אתה בטוח שברצונך למחוק את {{name}}? פעולה זו תמחק לצמיתות את כל הנתונים המשויכים, כולל תמונות ונתוני אימון. לא ניתן לבטל פעולה זו.",
+    "desc_one": "האם אתה בטוח שברצונך למחוק מודל אחד ({{count}})? פעולה זו תמחק לצמיתות את כל הנתונים המשויכים, כולל תמונות ונתוני אימון. לא ניתן לבטל פעולה זו.",
+    "desc_two": "האם אתה בטוח שברצונך למחוק {{count}} מודלים? פעולה זו תמחק לצמיתות את כל הנתונים המשויכים, כולל תמונות ונתוני אימון. לא ניתן לבטל פעולה זו.",
+    "desc_other": ""
+  },
+  "edit": {
+    "title": "עריכת מודל סיווג",
+    "descriptionState": "ערוך את הקטגוריות של מודל הסיווג הזה. כל שינוי ידרוש אימון מחדש של המודל.",
+    "descriptionObject": "ערוך את סוג האובייקט ואת סוג הסיווג עבור מודל סיווג האובייקטים הזה.",
+    "stateClassesInfo": "הערה: שינוי קטגוריות המצבים מחייב אימון מחדש של המודל עם הקטגוריות המעודכנות."
+  },
+  "deleteDatasetImages": {
+    "title": "מחיקת תמונות מערך הנתונים",
+    "desc_one": "האם אתה בטוח שברצונך למחוק {{count}} תמונה מתוך {{dataset}}? לא ניתן לבטל פעולה זו, והיא תדרוש אימון מחדש של המודל.",
+    "desc_two": "האם אתה בטוח שברצונך למחוק {{count}} תמונות מתוך {{dataset}}? לא ניתן לבטל פעולה זו, והיא תדרוש אימון מחדש של המודל.",
+    "desc_other": ""
+  },
+  "deleteTrainImages": {
+    "title": "מחיקת תמונות אימון",
+    "desc_one": "האם אתה בטוח שברצונך למחוק {{count}} תמונה? לא ניתן לבטל פעולה זו.",
+    "desc_two": "האם אתה בטוח שברצונך למחוק {{count}} תמונות? לא ניתן לבטל פעולה זו.",
+    "desc_other": ""
+  },
+  "renameCategory": {
+    "title": "שינוי שם קטגוריה",
+    "desc": "הזן שם חדש עבור {{name}}. יהיה עליך לאמן מחדש את המודל כדי שהשינוי בשם ייכנס לתוקף."
+  },
+  "description": {
+    "invalidName": "שם לא תקין. שמות יכולים לכלול רק אותיות, מספרים, רווחים, גרש (’), קו תחתון (_) ומקף (-)."
+  },
+  "categories": "קטגוריות",
+  "createCategory": {
+    "new": "יצירת קטגוריה חדשה"
+  },
+  "wizard": {
+    "step3": {
+      "errors": {
+        "noObjectLabel": "לא נבחרה תווית אובייקט",
+        "generateFailed": "יצירת דוגמאות נכשלה: {{error}}",
+        "generationFailed": "היצירה נכשלה. נסה שוב.",
+        "classifyFailed": "סיווג התמונות נכשל: {{error}}",
+        "noCameras": "לא הוגדרו מצלמות"
+      },
+      "generateSuccess": "תמונות לדוגמה נוצרו בהצלחה",
+      "missingStatesWarning": {
+        "title": "חסרות דוגמאות מצב",
+        "description": "מומלץ לבחור דוגמאות לכל המצבים כדי לקבל את התוצאות הטובות ביותר. אפשר להמשיך גם בלי לבחור את כל המצבים, אבל המודל לא יאומן עד שלכל המצבים יהיו תמונות.\nאחרי שתמשיך, השתמש בתצוגת סיווגים אחרונים כדי לסווג תמונות למצבים החסרים, ואז בצע אימון מודל."
+      },
+      "training": {
+        "title": "אימון מודל",
+        "description": "המודל שלך נמצא כעת בתהליך אימון ברקע. אפשר לסגור את החלון הזה, והמודל יתחיל לפעול מיד לאחר סיום האימון."
+      },
+      "classifying": "מסווג ומאמן...",
+      "trainingStarted": "האימון התחיל בהצלחה",
+      "modelCreated": "המודל נוצר בהצלחה. השתמש בתצוגת סיווגים אחרונים כדי להוסיף תמונות למצבים חסרים, ולאחר מכן אמן את המודל.",
+      "selectImagesPrompt": "בחר את כל התמונות עם: {{className}}",
+      "selectImagesDescription": "לחץ על תמונות כדי לבחור אותן. לחץ על המשך כשתסיים עם מחלקה זו.",
+      "allImagesRequired_one": "אנא סווג את כל התמונות. נותרה {{count}} תמונה.",
+      "allImagesRequired_two": "אנא סווג את כל התמונות. נותרו {{count}} תמונות.",
+      "allImagesRequired_other": "",
+      "generating": {
+        "title": "יוצר תמונות לדוגמה",
+        "description": "Frigate שואב תמונות מייצגות מההקלטות שלך. פעולה זו עשויה להימשך מספר רגעים..."
+      },
+      "retryGenerate": "נסה ליצור מחדש",
+      "noImages": "לא נוצרו תמונות לדוגמה"
+    },
+    "title": "צור סיווג חדש",
+    "steps": {
+      "nameAndDefine": "תן שם והגדר",
+      "stateArea": "אזור מצב",
+      "chooseExamples": "בחר דוגמאות"
+    },
+    "step1": {
+      "description": "מודלי מצבים מנטרים אזורים קבועים במצלמה ומזהים בהם שינויי מצב (למשל: דלת פתוחה/סגורה). מודלי אובייקטים מוסיפים סיווגים לאובייקטים שזוהו (למשל: בעלי חיים מוכרים, שליחים, וכד׳).",
+      "name": "שם",
+      "namePlaceholder": "הזן שם למודל...",
+      "type": "סוג",
+      "typeState": "מצב",
+      "typeObject": "אובייקט",
+      "objectLabel": "תווית אובייקט",
+      "objectLabelPlaceholder": "בחר סוג אובייקט...",
+      "classificationType": "סוג סיווג",
+      "classificationTypeTip": "למד על סוגי הסיווגים",
+      "classificationTypeDesc": "תוויות משנה (Sub Labels) מוסיפות טקסט נוסף לתווית האובייקט (למשל: 'Person: UPS'). מאפיינים (Attributes) הם מטא־נתונים שניתנים לחיפוש, הנשמרים בנפרד בתוך מטא־הנתונים של האובייקט.",
+      "classificationSubLabel": "תווית משנה",
+      "classificationAttribute": "מאפיינים",
+      "classes": "מחלקות",
+      "states": "מצבים",
+      "classesTip": "למד על מחלקות",
+      "classesStateDesc": "הגדר את המצבים השונים שבהם אזור המצלמה יכול להיות. לדוגמה: 'open' ו־'closed' עבור דלת מוסך.",
+      "classesObjectDesc": "הגדר את הקטגוריות השונות לסיווג אובייקטים שזוהו. לדוגמה:\n'delivery_person', 'resident', 'stranger' עבור סיווג אנשים.",
+      "classPlaceholder": "הזן שם מחלקה...",
+      "errors": {
+        "nameRequired": "שם מודל הוא שדה חובה",
+        "nameLength": "שם המודל חייב להיות באורך של עד 64 תווים",
+        "nameOnlyNumbers": "שם המודל אינו יכול להכיל מספרים בלבד",
+        "classRequired": "נדרשת לפחות מחלקה אחת",
+        "classesUnique": "שמות המחלקות חייבים להיות ייחודיים",
+        "noneNotAllowed": "המחלקה 'none' אינה מותרת",
+        "stateRequiresTwoClasses": "מודלי מצבים דורשים לפחות שתי מחלקות",
+        "objectLabelRequired": "אנא בחר תווית אובייקט",
+        "objectTypeRequired": "אנא בחר סוג סיווג"
+      }
+    },
+    "step2": {
+      "description": "בחר מצלמות והגדר את האזור לניטור עבור כל מצלמה. המודל יסווג את מצב האזורים הללו.",
+      "cameras": "מצלמות",
+      "selectCamera": "בחר מצלמה",
+      "noCameras": "לחץ על ‎+‎ כדי להוסיף מצלמות",
+      "selectCameraPrompt": "בחר מצלמה מהרשימה כדי להגדיר את אזור הניטור שלה"
+    }
+  },
+  "categorizeImageAs": "סווג תמונה כ־:",
+  "categorizeImage": "סווג תמונה",
+  "menu": {
+    "objects": "אובייקטים",
+    "states": "מצבים"
+  },
+  "noModels": {
+    "object": {
+      "title": "אין מודלים לסיווג אובייקטים",
+      "description": "צור מודל מותאם אישית לסיווג אובייקטים שזוהו.",
+      "buttonText": "צור מודל אובייקט"
+    },
+    "state": {
+      "title": "אין מודלים לסיווג מצבים",
+      "description": "צור מודל מותאם אישית לניטור ולסיווג שינויים במצב באזורים מסוימים במצלמה.",
+      "buttonText": "צור מודל מצב"
+    }
+  }
+}
diff --git a/web/public/locales/he/views/configEditor.json b/web/public/locales/he/views/configEditor.json
index 7f9120a31..535619a34 100644
--- a/web/public/locales/he/views/configEditor.json
+++ b/web/public/locales/he/views/configEditor.json
@@ -1,5 +1,5 @@
 {
-  "documentTitle": "עורך הגדרות - פריגטה",
+  "documentTitle": "עורך הגדרות - Frigate",
   "configEditor": "עורך תצורה",
   "copyConfig": "העתקת הגדרות",
   "saveAndRestart": "שמירה והפעלה מחדש",
@@ -12,5 +12,7 @@
     "error": {
       "savingError": "שגיאה בשמירת ההגדרות"
     }
-  }
+  },
+  "safeConfigEditor": "עורך תצורה (מצב בטוח)",
+  "safeModeDescription": "Frigate במצב בטוח עקב שגיאת אימות הגדרות."
 }
diff --git a/web/public/locales/he/views/events.json b/web/public/locales/he/views/events.json
index 21b551e2a..636a073b1 100644
--- a/web/public/locales/he/views/events.json
+++ b/web/public/locales/he/views/events.json
@@ -9,7 +9,11 @@
   "empty": {
     "detection": "אין גילויים לבדיקה",
     "alert": "אין התראות להצגה",
-    "motion": "לא נמצאו נתוני תנועה"
+    "motion": "לא נמצאו נתוני תנועה",
+    "recordingsDisabled": {
+      "title": "יש להפעיל הקלטות",
+      "description": "ניתן ליצור פריטי סקירה עבור מצלמה רק כאשר הקלטות מופעלות עבור אותה מצלמה."
+    }
   },
   "timeline": "ציר זמן",
   "timeline.aria": "בחירת ציר זמן",
@@ -34,5 +38,28 @@
   "selected_one": "נבחרו {{count}}",
   "selected_other": "{{count}} נבחרו",
   "camera": "מצלמה",
-  "detected": "זוהה"
+  "detected": "זוהה",
+  "detail": {
+    "noDataFound": "אין נתונים מפורטים לבדיקה",
+    "aria": "הפעלה/כיבוי תצוגת פרטים",
+    "trackedObject_one": "אובייקט {{count}}",
+    "trackedObject_other": "{{count}} אובייקטים",
+    "noObjectDetailData": "אין נתוני אובייקט זמינים.",
+    "label": "פרטים",
+    "settings": "הגדרות תצוגת פרטים",
+    "alwaysExpandActive": {
+      "title": "תמיד להרחיב את הפעיל",
+      "desc": "כאשר אפשר, תמיד להציג בהרחבה את פרטי האובייקט של פריט הבדיקה הפעיל."
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "נקודה במעקב",
+    "clickToSeek": "לחץ כדי לחפש את הזמן הזה"
+  },
+  "zoomIn": "הגדל (זום פנימה)",
+  "zoomOut": "הקטן (זום החוצה)",
+  "select_all": "הכל",
+  "normalActivity": "רגיל",
+  "needsReview": "טעון בדיקה",
+  "securityConcern": "חשש אבטחה"
 }
diff --git a/web/public/locales/he/views/explore.json b/web/public/locales/he/views/explore.json
index 0646e5089..6042b4329 100644
--- a/web/public/locales/he/views/explore.json
+++ b/web/public/locales/he/views/explore.json
@@ -27,6 +27,28 @@
     },
     "deleteTrackedObject": {
       "label": "מחק את אובייקט המעקב הזה"
+    },
+    "audioTranscription": {
+      "aria": "בקשת תמלול אודיו",
+      "label": "תמלל"
+    },
+    "showObjectDetails": {
+      "label": "הצגת מסלול האובייקט"
+    },
+    "hideObjectDetails": {
+      "label": "הסתרת מסלול האובייקט"
+    },
+    "downloadCleanSnapshot": {
+      "label": "הורד תמונה נקיה",
+      "aria": "הורד תמונה נקיה"
+    },
+    "viewTrackingDetails": {
+      "label": "הצג פרטי מעקב",
+      "aria": "הצג את פרטי המעקב"
+    },
+    "addTrigger": {
+      "label": "הוסף טריגר",
+      "aria": "הוסף טריגר לאובייקט במעקב זה"
     }
   },
   "generativeAI": "Generative - AI",
@@ -64,7 +86,9 @@
     "details": "פרטים",
     "snapshot": "לכידת תמונה",
     "video": "וידיאו",
-    "object_lifecycle": "שלבי זיהוי של האובייקט"
+    "object_lifecycle": "שלבי זיהוי של האובייקט",
+    "thumbnail": "תמונה ממוזערת",
+    "tracking_details": "פרטי מעקב"
   },
   "objectLifecycle": {
     "title": "שלבי זיהוי של האובייקט",
@@ -132,12 +156,16 @@
         "success": {
           "updatedSublabel": "תווית המשנה עודכנה בהצלחה.",
           "updatedLPR": "לוחית הרישוי עודכנה בהצלחה.",
-          "regenerate": "תיאור חדש התבקש מ-{{provider}}. בהתאם למהירות הספק שלך, ייתכן שייקח זמן מה ליצירת התיאור החדש."
+          "regenerate": "תיאור חדש התבקש מ-{{provider}}. בהתאם למהירות הספק שלך, ייתכן שייקח זמן מה ליצירת התיאור החדש.",
+          "updatedAttributes": "המאפיינים עודכנו בהצלחה.",
+          "audioTranscription": "בקשת תמלול האודיו נשלחה בהצלחה. בהתאם למהירות שרת ה־Frigate שלך, התמלול עשוי להימשך זמן מה עד להשלמתו."
         },
         "error": {
           "regenerate": "ההתקשרות ל-{{provider}} לקבלת תיאור חדש נכשלה: {{errorMessage}}",
           "updatedSublabelFailed": "עדכון תווית המשנה נכשל: {{errorMessage}}",
-          "updatedLPRFailed": "עדכון לוחית הרישוי נכשל: {{errorMessage}}"
+          "updatedLPRFailed": "עדכון לוחית הרישוי נכשל: {{errorMessage}}",
+          "updatedAttributesFailed": "נכשל בעדכון המאפיינים: {{errorMessage}}",
+          "audioTranscription": "נכשל בשליחת בקשה לתמלול אודיו: {{errorMessage}}"
         }
       },
       "title": "סקירת הפריט",
@@ -184,12 +212,23 @@
       "descriptionSaved": "התיאור נשמר בהצלחה",
       "saveDescriptionFailed": "עדכון התיאור נכשל: {{errorMessage}}"
     },
-    "zones": "אזורים"
+    "zones": "אזורים",
+    "editAttributes": {
+      "title": "ערוך מאפיינים",
+      "desc": "בחר מאפייני סיווג עבור {{label}} זה"
+    },
+    "score": {
+      "label": "ציון"
+    },
+    "attributes": "מאפייני סיווג",
+    "title": {
+      "label": "כותרת"
+    }
   },
   "dialog": {
     "confirmDelete": {
       "title": "אישור מחיקה",
-      "desc": "מחיקת אובייקט זה במעקב מסירה את תמונת המצב, כל ההטמעות שנשמרו וכל ערכי שלבי האובייקט המשויכים. קטעי וידאו מוקלטים של אובייקט זה במעקב בתצוגת היסטוריה <em>לא</em> יימחקו.<br /><br />האם אתה בטוח שברצונך להמשיך?"
+      "desc": "מחיקת אובייקט זה במעקב תסיר את הצילום, כל ה־embeddings השמורים וכל רשומות פרטי המעקב המשויכות. קטעי וידאו מוקלטים של אובייקט זה בתצוגת היסטוריה <em>לא</em> יימחקו.<br /><br />האם אתה בטוח שברצונך להמשיך?"
     }
   },
   "searchResult": {
@@ -199,11 +238,68 @@
         "error": "מחיקת האובייקט במעקב נכשלה: {{errorMessage}}",
         "success": "האובייקט המעקב נמחק בהצלחה."
       }
-    }
+    },
+    "previousTrackedObject": "האובייקט הקודם במעקב",
+    "nextTrackedObject": "האובייקט הבא במעקב"
   },
   "noTrackedObjects": "לא נמצאו אובייקטים במעקב",
   "fetchingTrackedObjectsFailed": "שגיאה באחזור אובייקטים במעקב: {{errorMessage}}",
   "trackedObjectsCount_one": "אובייקט במעקב ({{count}}) ",
   "trackedObjectsCount_two": "אובייקטים במעקב ({{count}}) ",
-  "trackedObjectsCount_other": "אובייקטים במעקב ({{count}}) "
+  "trackedObjectsCount_other": "אובייקטים במעקב ({{count}}) ",
+  "trackingDetails": {
+    "title": "פרטי מעקב",
+    "noImageFound": "לא נמצאה תמונה עבור חותמת הזמן הזו.",
+    "createObjectMask": "יצירת מסכת אובייקט",
+    "adjustAnnotationSettings": "התאמת הגדרות הסימון",
+    "scrollViewTips": "לחץ כדי לראות את הרגעים החשובים לאורך כל זמן המעקב אחרי האובייקט הזה.",
+    "autoTrackingTips": "מיקומי תיבות התחימה (Bounding Boxes) לא יהיו מדויקים עבור מצלמות עם מעקב אוטומטי (Autotracking).",
+    "count": "{{first}} מתוך {{second}}",
+    "trackedPoint": "נקודת מעקב",
+    "lifecycleItemDesc": {
+      "visible": "זוהה {{label}}",
+      "entered_zone": "{{label}} נכנס ל־{{zones}}",
+      "active": "{{label}} הפך לפעיל",
+      "stationary": "{{label}} הפך לנייח",
+      "attribute": {
+        "faceOrLicense_plate": "זוהה {{attribute}} עבור {{label}}",
+        "other": "{{label}} זוהה כ־{{attribute}}"
+      },
+      "gone": "{{label}} יצא",
+      "heard": "{{label}} נשמע",
+      "external": "זוהה {{label}}",
+      "header": {
+        "zones": "אזורים",
+        "ratio": "יחס",
+        "area": "אזור",
+        "score": "ציון"
+      }
+    },
+    "annotationSettings": {
+      "title": "הגדרות סימון",
+      "showAllZones": {
+        "title": "הצגת כל האזורים",
+        "desc": "תמיד להציג אזורים בפריימים שבהם אובייקטים נכנסו לאזור."
+      },
+      "offset": {
+        "label": "היסט סימון",
+        "desc": "הנתונים האלה מגיעים מזרם ה־Detect של המצלמה, אבל מוצגים כשכבה מעל תמונות מזרם ה־Record. סביר ששני הזרמים לא מסונכרנים בצורה מושלמת. לכן, מסגרת הזיהוי (Bounding Box) והווידאו לא תמיד יסתדרו בדיוק אחד על השני.\nאפשר להשתמש בהגדרה הזו כדי להזיז את הסימונים קדימה או אחורה בזמן (היסט), וכך ליישר אותם טוב יותר עם ההקלטה.",
+        "millisecondsToOffset": "מספר המילישניות להיסט סימוני ה־Detect. <em>ברירת מחדל: 0</em>",
+        "tips": "הקטן את הערך אם הווידאו מקדים את המסגרות ונקודות המסלול, והגדל את הערך אם הווידאו מאחוריהם. הערך יכול להיות גם שלילי.",
+        "toast": {
+          "success": "היסט הסימון עבור {{camera}} נשמר בקובץ התצורה."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "שקופית קודמת",
+      "next": "שקופית הבאה"
+    }
+  },
+  "aiAnalysis": {
+    "title": "ניתוח AI"
+  },
+  "concerns": {
+    "label": "סיכונים"
+  }
 }
diff --git a/web/public/locales/he/views/exports.json b/web/public/locales/he/views/exports.json
index 93e26a7b8..2bd8c7e00 100644
--- a/web/public/locales/he/views/exports.json
+++ b/web/public/locales/he/views/exports.json
@@ -13,5 +13,11 @@
     "title": "שנה שם ייצוא",
     "desc": "הכנס שם חדש עבור הייצוא הזה.",
     "saveExport": "שמירת ייצוא"
+  },
+  "tooltip": {
+    "shareExport": "שתף ייצוא",
+    "downloadVideo": "הורדת סרטון",
+    "editName": "עריכת שם",
+    "deleteExport": "מחיקת ייצוא"
   }
 }
diff --git a/web/public/locales/he/views/faceLibrary.json b/web/public/locales/he/views/faceLibrary.json
index 96b248100..0918c847d 100644
--- a/web/public/locales/he/views/faceLibrary.json
+++ b/web/public/locales/he/views/faceLibrary.json
@@ -1,11 +1,11 @@
 {
   "description": {
-    "addFace": "עיין בהוספת אוסף חדש לספריית הפנים.",
+    "addFace": "הוסף אוסף חדש לספריית הפנים באמצעות העלאת התמונה הראשונה שלך.",
     "placeholder": "הזנת שם לאוסף זה",
-    "invalidName": "שם לא חוקי. שמות יכולים לכלול רק אותיות, מספרים, רווחים, גרשים, קווים תחתונים ומקפים."
+    "invalidName": "שם לא תקין. שמות יכולים לכלול רק אותיות, מספרים, רווחים, גרש (’), קו תחתון (_) ומקף (-)."
   },
   "createFaceLibrary": {
-    "nextSteps": "כדי לבנות בסיס חזק:<li>השתמשו בכרטיסייה 'אימון' כדי לבחור ולאמן תמונות עבור כל אדם שזוהה.</li><li>התמקדו בתמונות ישירות לקבלת התוצאות הטובות ביותר; הימנעו מאימון תמונות שלוכדות פנים בזווית.</li></ul>",
+    "nextSteps": "כדי לבנות בסיס חזק:<li>השתמש בלשונית <strong>זיהויים אחרונים</strong> כדי לבחור ולאמן על תמונות עבור כל אדם שזוהה.</li><li>כדי לקבל תוצאות מיטביות, התמקד בתמונות פנים מלפנים; הימנע מתמונות אימון שבהן הפנים מצולמות בזווית.</li></ul>",
     "title": "יצירת אוסף",
     "desc": "יצירת אוסף חדש",
     "new": "יצירת פנים חדשות"
@@ -22,7 +22,7 @@
       "addFaceLibrary": "{{name}} נוסף בהצלחה לספריית הפנים!",
       "renamedFace": "שם הפנים שונה בהצלחה ל-{{name}}",
       "trainedFace": "פנים אומנו בהצלחה.",
-      "updatedFaceScore": "ציון הפנים עודכן בהצלחה."
+      "updatedFaceScore": "ציון הפנים עבור {{name}} עודכן בהצלחה ({{score}})."
     },
     "error": {
       "deleteFaceFailed": "המחיקה נכשלה: {{errorMessage}}",
@@ -58,9 +58,10 @@
     }
   },
   "train": {
-    "title": "רכבת",
-    "aria": "בחירת אימון",
-    "empty": "אין ניסיונות זיהוי פנים אחרונים"
+    "title": "זיהויים אחרונים",
+    "aria": "בחירת זיהויים אחרונים",
+    "empty": "אין ניסיונות זיהוי פנים אחרונים",
+    "titleShort": "לאחרונה"
   },
   "selectItem": "בחירה:{{item}}",
   "selectFace": "בחירת פנים",
@@ -91,7 +92,7 @@
       "selectImage": "בחירת קובץ תמונה."
     },
     "dropActive": "שחרר/י את התמונה כאן…",
-    "dropInstructions": "גרור ושחרר תמונה כאן, או לחץ כדי לבחור",
+    "dropInstructions": "גרור ושחרר או הדבק תמונה כאן, או לחץ כדי לבחור",
     "maxSize": "גודל מקסימאלי: {{size}}MB"
   },
   "nofaces": "אין פנים זמינים",
diff --git a/web/public/locales/he/views/live.json b/web/public/locales/he/views/live.json
index 9fccbd158..5426392b9 100644
--- a/web/public/locales/he/views/live.json
+++ b/web/public/locales/he/views/live.json
@@ -1,7 +1,7 @@
 {
   "manualRecording": {
-    "title": "הקלטה לפי דרישה",
-    "tips": "התחלת אירוע הקלטה ידני המבוסס על הגדרות שמירת ההקלטה של מצלמה זו.",
+    "title": "לפי דרישה",
+    "tips": "הורד צילום מיידי או התחל אירוע ידני בהתאם להגדרות שמירת ההקלטות של מצלמה זו.",
     "playInBackground": {
       "label": "ניגון ברקע",
       "desc": "הפעל אפשרות זו כדי להמשיך להזרים גם כאשר הנגן מוסתר."
@@ -63,7 +63,15 @@
         "label": "לחץ בתוך המסגרת כדי למרכז את המצלמה הממונעת"
       }
     },
-    "presets": "מצלמה ממונעת - פריסטים"
+    "presets": "מצלמה ממונעת - פריסטים",
+    "focus": {
+      "in": {
+        "label": "כניסת פוקוס מצלמת PTZ"
+      },
+      "out": {
+        "label": "יציאת פוקוס מצלמת PTZ"
+      }
+    }
   },
   "camera": {
     "enable": "אפשור מצלמה",
@@ -120,6 +128,9 @@
       },
       "available": "קול זמין עבור שידור זה",
       "unavailable": "קול אינו זמין עבור שידור זה"
+    },
+    "debug": {
+      "picker": "בחירת זרם אינה זמינה במצב Debug. תצוגת Debug תמיד משתמשת בזרם שמוגדר עם הייעוד detect."
     }
   },
   "cameraSettings": {
@@ -129,7 +140,8 @@
     "recording": "הקלטה",
     "snapshots": "לכידת תמונה",
     "audioDetection": "זיהוי קול",
-    "autotracking": "מעקב אוטומטי"
+    "autotracking": "מעקב אוטומטי",
+    "transcription": "תמלול אודיו"
   },
   "streamingSettings": "הגדרות שידור",
   "notifications": "התראות",
@@ -154,5 +166,24 @@
       "label": "עריכת קבוצת מצלמות"
     },
     "exitEdit": "יציאה מעריכה"
+  },
+  "snapshot": {
+    "takeSnapshot": "הורדת תמונת מצב מיידית",
+    "noVideoSource": "אין מקור וידאו זמין לצילום תמונת מצב.",
+    "captureFailed": "צילום תמונת מצב נכשל.",
+    "downloadStarted": "התחילה הורדת תמונת המצב."
+  },
+  "transcription": {
+    "enable": "הפעלת תמלול אודיו חי",
+    "disable": "השבתת תמלול אודיו חי"
+  },
+  "noCameras": {
+    "title": "לא הוגדרו מצלמות",
+    "description": "התחל על-ידי חיבור מצלמה ל-Frigate.",
+    "buttonText": "הוסף מצלמה",
+    "restricted": {
+      "title": "אין מצלמות זמינות",
+      "description": "אין לך הרשאה לצפות במצלמות כלשהן בקבוצה זו."
+    }
   }
 }
diff --git a/web/public/locales/he/views/recording.json b/web/public/locales/he/views/recording.json
index 91817595b..1e45f6b6b 100644
--- a/web/public/locales/he/views/recording.json
+++ b/web/public/locales/he/views/recording.json
@@ -1,5 +1,5 @@
 {
-  "filter": "לסנן",
+  "filter": "מסנן",
   "export": "ייצוא",
   "calendar": "לוח שנה",
   "filters": "מסננים",
diff --git a/web/public/locales/he/views/search.json b/web/public/locales/he/views/search.json
index 0865e4654..199171375 100644
--- a/web/public/locales/he/views/search.json
+++ b/web/public/locales/he/views/search.json
@@ -4,7 +4,7 @@
   "searchFor": "חפש את{{inputValue}}",
   "button": {
     "clear": "ניקוי חיפוש",
-    "save": "שמירת החיפוש",
+    "save": "שמור חיפוש",
     "delete": "מחיקת חיפוש שמור",
     "filterInformation": "סינון מידע",
     "filterActive": "מסננים פעילים"
@@ -26,7 +26,8 @@
       "min_speed": "מהירות מינמאלית",
       "recognized_license_plate": "לוחית רישוי מוכרת",
       "has_clip": "קיים סרטון קליפ",
-      "has_snapshot": "לכידת תמונה קיימת"
+      "has_snapshot": "לכידת תמונה קיימת",
+      "attributes": "מאפיינים"
     },
     "searchType": {
       "thumbnail": "תמונה ממוזערת",
diff --git a/web/public/locales/he/views/settings.json b/web/public/locales/he/views/settings.json
index 1ab0ab917..cb24111c0 100644
--- a/web/public/locales/he/views/settings.json
+++ b/web/public/locales/he/views/settings.json
@@ -46,7 +46,8 @@
           "mustBeAtLeastTwoCharacters": "שם האזור חייב להיות באורך של לפחות 2 תווים.",
           "mustNotBeSameWithCamera": "שם האזור לא חייב להיות זהה לשם המצלמה.",
           "mustNotContainPeriod": "שם האזור אינו יכול להכיל נקודות.",
-          "hasIllegalCharacter": "שם האזור מכיל תווים לא חוקיים."
+          "hasIllegalCharacter": "שם האזור מכיל תווים לא חוקיים.",
+          "mustHaveAtLeastOneLetter": "שם האזור חייב לכלול לפחות אות אחת."
         }
       },
       "distance": {
@@ -111,7 +112,7 @@
       "name": {
         "title": "שם",
         "inputPlaceHolder": "הזן שם…",
-        "tips": "השם חייב להיות באורך של לפחות 2 תווים ואינו יכול להיות שם של מצלמה או אזור אחר."
+        "tips": "השם חייב להכיל לפחות 2 תווים, לכלול לפחות אות אחת, ואסור שיהיה זהה לשם של מצלמה או של אזור אחר במצלמה זו."
       },
       "point_one": "נקודה {{count}}",
       "point_two": "נקודות {{count}}",
@@ -125,7 +126,7 @@
         "desc": "קובע את משך הזמן המינימלי בשניות שהאובייקט חייב להיות באזור כדי שיופעל. <em>ברירת מחדל: 0</em>"
       },
       "objects": {
-        "title": "אובייקט",
+        "title": "אובייקטים",
         "desc": "רשימת אובייקטים החלים על אזור זה."
       },
       "speedEstimation": {
@@ -148,7 +149,7 @@
         }
       },
       "toast": {
-        "success": "האזור ({{zoneName}}) נשמר. הפעל מחדש את Frigate כדי להחיל את השינויים."
+        "success": "האזור ({{zoneName}}) נשמר בהצלחה."
       },
       "allObjects": "כל האובייקטים"
     },
@@ -176,8 +177,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} נשמר. הפעל מחדש את Frigate כדי להחיל את השינויים.",
-          "noName": "מיסוך התנועה נשמר. הפעל מחדש את Frigate כדי להחיל את השינויים."
+          "title": "{{polygonName}} נשמר בהצלחה.",
+          "noName": "מסכת תנועה נשמרה בהצלחה."
         }
       }
     },
@@ -202,8 +203,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} נשמר. הפעל מחדש את Frigate כדי להחיל את השינויים.",
-          "noName": "מיסוך האובייקט נשמר. הפעל מחדש את Frigate כדי להחיל את השינויים."
+          "title": "{{polygonName}} נשמר בהצלחה.",
+          "noName": "מיסוך האובייקט נשמר."
         }
       }
     }
@@ -225,6 +226,14 @@
       "playAlertVideos": {
         "label": "ניגון סרטוני התראות",
         "desc": "כברירת מחדל, התראות אחרונות בדשבורד שידור חי מופעלות כסרטונים קצרים בלולאה. השבת אפשרות זו כדי להציג רק תמונה סטטית של התראות אחרונות במכשיר/דפדפן זה."
+      },
+      "displayCameraNames": {
+        "label": "תמיד להציג שם מצלמה",
+        "desc": "תמיד להציג את שמות המצלמות בצ’יפ בתצוגת הלייב מרובת המצלמות בדשבורד."
+      },
+      "liveFallbackTimeout": {
+        "label": "זמן המתנה למעבר לנגן חלופי בשידור חי",
+        "desc": "כאשר זרם השידור חי באיכות גבוהה של מצלמה אינו זמין, המערכת תעבור למצב רוחב־פס נמוך לאחר מספר השניות הזה. ברירת מחדל: 3."
       }
     },
     "cameraGroupStreaming": {
@@ -232,7 +241,7 @@
       "title": "הגדרות הזרמת קבוצת מצלמות",
       "clearAll": "נקה את כל הגדרות השידור"
     },
-    "title": "הגדרות כלליות",
+    "title": "הגדרות UI",
     "storedLayouts": {
       "title": "פריסות תצוגה שמורות",
       "desc": "ניתן לגרור/לשנות את גודל הפריסה של המצלמות בקבוצת מצלמות. המיקומים נשמרים באחסון המקומי של הדפדפן שלך.",
@@ -268,7 +277,9 @@
     "notifications": "הגדרת התראות - Frigate",
     "authentication": "הגדרות אימות - Frigate",
     "default": "הגדרות - Frigate",
-    "general": "הגדרות כלליות - Frigate"
+    "general": "הגדרות ממשק (UI) - Frigate",
+    "cameraManagement": "ניהול מצלמות - Frigate",
+    "cameraReview": "הגדרות סקירת מצלמה - Frigate"
   },
   "menu": {
     "ui": "UI - ממשק משתמש",
@@ -280,7 +291,10 @@
     "notifications": "התראות",
     "frigateplus": "+Frigate",
     "enrichments": "תוספות",
-    "triggers": "הפעלות"
+    "triggers": "הפעלות",
+    "cameraManagement": "ניהול",
+    "cameraReview": "סְקִירָה",
+    "roles": "תפקידים"
   },
   "dialog": {
     "unsavedChanges": {
@@ -422,7 +436,20 @@
       "area": "אזור",
       "tips": "הפעל אפשרות זו כדי לצייר מלבן על תמונת המצלמה כדי להציג את השטח והיחס שלה. ניתן להשתמש בערכים אלה כדי להגדיר פרמטרים של מסנן צורת אובייקט בתצורה שלך."
     },
-    "desc": "תצוגת ניפוי שגיאות מציגה תצוגה בזמן אמת של אובייקטים במעקב והסטטיסטיקות שלהם. רשימת האובייקטים מציגה סיכום בהשהיית זמן של האובייקטים שזוהו."
+    "desc": "תצוגת ניפוי שגיאות מציגה תצוגה בזמן אמת של אובייקטים במעקב והסטטיסטיקות שלהם. רשימת האובייקטים מציגה סיכום בהשהיית זמן של האובייקטים שזוהו.",
+    "openCameraWebUI": "פתח את ממשק ה־Web של {{camera}}",
+    "audio": {
+      "title": "אודיו",
+      "noAudioDetections": "אין זיהויי אודיו",
+      "score": "ציון",
+      "currentRMS": "RMS נוכחי",
+      "currentdbFS": "dbFS נוכחי"
+    },
+    "paths": {
+      "title": "נתיבים",
+      "desc": "הצג נקודות משמעותיות במסלול התנועה של האובייקט במעקב",
+      "tips": "<p><strong>נתיבים</strong></p><br><p>קווים ועיגולים יציינו נקודות משמעותיות שבהן האובייקט במעקב נע במהלך מחזור חייו.</p>"
+    }
   },
   "users": {
     "title": "משתמשים",
@@ -431,7 +458,7 @@
       "desc": "נהל את חשבונות המשתמשים של מופע Frigate זה."
     },
     "addUser": "הוספת משתמש",
-    "updatePassword": "עדכון סיסמה",
+    "updatePassword": "איפוס סיסמה",
     "toast": {
       "success": {
         "createUser": "המשתמש {{user}} נוצר בהצלחה",
@@ -451,7 +478,7 @@
       "role": "הרשאות",
       "noUsers": "לא נמצאו משתמשים.",
       "changeRole": "שינוי הרשאות משתמש",
-      "password": "סיסמה",
+      "password": "איפוס סיסמה",
       "deleteUser": "מחיקת משתמש",
       "username": "שם משתמש"
     },
@@ -477,7 +504,16 @@
             "veryStrong": "מאוד חזק"
           },
           "match": "סיסמאות תואמות",
-          "notMatch": "הסיסמאות אינן תואמות."
+          "notMatch": "הסיסמאות אינן תואמות.",
+          "show": "הצג סיסמה",
+          "hide": "הסתר סיסמה",
+          "requirements": {
+            "title": "דרישות סיסמה:",
+            "length": "לפחות 8 תווים",
+            "uppercase": "לפחות אות גדולה אחת",
+            "digit": "לפחות ספרה אחת",
+            "special": "לפחות תו מיוחד אחד (!@#$%^&*(),.?\":{}|<>)"
+          }
         },
         "newPassword": {
           "title": "סיסמה חדשה",
@@ -487,7 +523,11 @@
           }
         },
         "usernameIsRequired": "נדרש שם משתמש",
-        "passwordIsRequired": "נדרשת סיסמה"
+        "passwordIsRequired": "נדרשת סיסמה",
+        "currentPassword": {
+          "title": "סיסמה נוכחית",
+          "placeholder": "הזן את הסיסמה הנוכחית שלך"
+        }
       },
       "createUser": {
         "title": "יצירת משתמש חדש",
@@ -505,7 +545,12 @@
         "doNotMatch": "הסיסמאות אינן תואמות",
         "updatePassword": "עדכון סיסמה עבור {{username}}",
         "setPassword": "קבע סיסמה",
-        "desc": "צור סיסמה חזקה כדי לאבטח חשבון זה."
+        "desc": "צור סיסמה חזקה כדי לאבטח חשבון זה.",
+        "currentPasswordRequired": "נדרשת הסיסמה הנוכחית",
+        "incorrectCurrentPassword": "הסיסמה הנוכחית שגויה",
+        "passwordVerificationFailed": "נכשל באימות הסיסמה",
+        "multiDeviceWarning": "כל מכשיר אחר שבו אתה מחובר יידרש להתחבר מחדש בתוך {{refresh_time}}.",
+        "multiDeviceAdmin": "ניתן גם לאלץ את כל המשתמשים להתחבר מחדש באופן מיידי על־ידי החלפת מפתח ה־JWT שלך."
       },
       "changeRole": {
         "title": "שינוי הרשאות משתמש",
@@ -516,7 +561,8 @@
           "admin": "מנהל",
           "adminDesc": "גישה מלאה לכל התכונות.",
           "viewer": "צופה",
-          "viewerDesc": "מוגבל לדשבורד שידור חי, סקירה, גילוי וייצוא בלבד."
+          "viewerDesc": "מוגבל לדשבורד שידור חי, סקירה, גילוי וייצוא בלבד.",
+          "customDesc": "תפקיד מותאם אישית עם גישה למצלמות מסוימות."
         }
       }
     }
@@ -619,5 +665,454 @@
       "success": "הגדרות Frigate+ נשמרו. הפעל מחדש את Frigate כדי להחיל את השינויים.",
       "error": "שמירת שינויי התצורה נכשלה: {{errorMessage}}"
     }
+  },
+  "cameraWizard": {
+    "step1": {
+      "brandInformation": "פרטי יצרן",
+      "brandUrlFormat": "למצלמות עם פורמט כתובת RTSP כמו: {{exampleUrl}}",
+      "connectionSettings": "הגדרות חיבור",
+      "detectionMethod": "שיטת זיהוי זרם",
+      "onvifPort": "פורט ONVIF",
+      "probeMode": "בדיקת מצלמה",
+      "manualMode": "בחירה ידנית",
+      "detectionMethodDescription": "בדוק את המצלמה באמצעות ONVIF (אם נתמך) כדי למצוא את כתובות הזרמים שלה, או בחר ידנית את יצרן המצלמה כדי להשתמש בכתובות מוגדרות מראש.\nכדי להזין כתובת RTSP מותאמת אישית, בחר בשיטה ידנית ואז בחר \"אחר\".",
+      "onvifPortDescription": "במצלמות שתומכות ב-ONVIF, זה בדרך כלל 80 או 8080.",
+      "useDigestAuth": "שימוש באימות Digest",
+      "useDigestAuthDescription": "השתמש באימות HTTP Digest עבור ONVIF. בחלק מהמצלמות נדרש שם משתמש/סיסמה ייעודיים ל-ONVIF, ולא משתמש ה-Admin הרגיל.",
+      "errors": {
+        "brandOrCustomUrlRequired": "בחר יצרן מצלמה והזן Host/IP, או בחר “אחר” והזן כתובת מותאמת אישית",
+        "nameRequired": "שם המצלמה הוא שדה חובה",
+        "nameLength": "שם המצלמה חייב להיות באורך של עד 64 תווים",
+        "invalidCharacters": "שם המצלמה מכיל תווים לא חוקיים",
+        "nameExists": "שם המצלמה כבר קיים",
+        "customUrlRtspRequired": "כתובות מותאמות אישית חייבות להתחיל ב־\"rtsp://\". עבור זרמי מצלמה שאינם RTSP נדרשת הגדרה ידנית."
+      },
+      "description": "הזן את פרטי המצלמה ובחר אם לבצע בדיקה למצלמה או לבחור ידנית את היצרן.",
+      "cameraName": "שם מצלמה",
+      "cameraNamePlaceholder": "לדוגמה: front_door או סקירת החצר האחורית",
+      "host": "HOST / כתובת IP",
+      "port": "פורט",
+      "username": "שם משתמש",
+      "usernamePlaceholder": "אופציונלי",
+      "password": "סיסמה",
+      "passwordPlaceholder": "אופציונלי",
+      "selectTransport": "בחר פרוטוקול תעבורה",
+      "cameraBrand": "יצרן מצלמה",
+      "selectBrand": "בחר יצרן מצלמה עבור תבנית כתובת ה-URL",
+      "customUrl": "כתובת (URL) זרם מותאמת אישית",
+      "customUrlPlaceholder": "rtsp://username:password@host:port/path"
+    },
+    "step2": {
+      "description": "בדוק את המצלמה כדי לאתר זרמים זמינים, או הגדר ידנית את ההגדרות לפי שיטת הזיהוי שבחרת.",
+      "testSuccess": "בדיקת החיבור הצליחה!",
+      "testFailed": "בדיקת החיבור נכשלה. בדוק את הנתונים שהזנת ונסה שוב.",
+      "testFailedTitle": "הבדיקה נכשלה",
+      "streamDetails": "פרטי זרם",
+      "probing": "בודק מצלמה...",
+      "retry": "נסה שוב",
+      "testing": {
+        "probingMetadata": "בודק את נתוני המטא של המצלמה…",
+        "fetchingSnapshot": "שולף תמונת מצב מהמצלמה…"
+      },
+      "probeFailed": "בדיקת המצלמה נכשלה: {{error}}",
+      "probingDevice": "בודק את ההתקן…",
+      "probeSuccessful": "הבדיקה הצליחה",
+      "probeError": "בדיקה נכשלה",
+      "probeNoSuccess": "הבדיקה לא הצליחה",
+      "deviceInfo": "מידע על ההתקן",
+      "manufacturer": "יצרן",
+      "model": "דגם",
+      "firmware": "קושחה",
+      "profiles": "פרופילים",
+      "ptzSupport": "תמיכה ב-PTZ",
+      "autotrackingSupport": "תמיכה ב-Autotracking",
+      "presets": "פריסטים",
+      "rtspCandidates": "כתובות RTSP מוצעות",
+      "rtspCandidatesDescription": "כתובות ה־RTSP הבאות נמצאו בבדיקת המצלמה. בצע בדיקת חיבור כדי לצפות בנתוני הזרם (Metadata).",
+      "noRtspCandidates": "לא נמצאו כתובות RTSP מהמצלמה. ייתכן שפרטי ההתחברות שגויים, או שהמצלמה לא תומכת ב-ONVIF, או שהשיטה שבה השתמשנו לשליפת כתובות RTSP אינה נתמכת. חזור אחורה והזן את כתובת ה-RTSP ידנית.",
+      "candidateStreamTitle": "אפשרות {{number}}",
+      "useCandidate": "השתמש",
+      "uriCopy": "העתק",
+      "uriCopied": "הכתובת (URI) הועתקה ללוח",
+      "testConnection": "בדיקת חיבור",
+      "toggleUriView": "לחץ כדי להציג/להסתיר את הכתובת המלאה",
+      "connected": "מחובר",
+      "notConnected": "לא מחובר",
+      "errors": {
+        "hostRequired": "כתובת Host/IP היא שדה חובה"
+      }
+    },
+    "step3": {
+      "description": "הגדר תפקידי זרם (Roles) והוסף זרמים נוספים למצלמה שלך.",
+      "streamsTitle": "זרמי מצלמה",
+      "addStream": "הוסף זרם",
+      "addAnotherStream": "הוסף זרם נוסף",
+      "streamTitle": "זרם {{number}}",
+      "streamUrl": "כתובת הזרם (URL)",
+      "selectStream": "בחר זרם",
+      "searchCandidates": "חיפוש אפשרויות…",
+      "noStreamFound": "לא נמצא זרם",
+      "url": "URL",
+      "resolution": "רזולוציה",
+      "selectResolution": "בחר רזולוציה",
+      "quality": "איכות",
+      "selectQuality": "בחר איכות",
+      "roles": "תפקידים",
+      "roleLabels": {
+        "detect": "זיהוי אובייקטים",
+        "record": "הקלטה",
+        "audio": "קול (Audio)"
+      },
+      "testStream": "בדיקת חיבור",
+      "testSuccess": "בדיקת הזרם הצליחה!",
+      "testFailed": "בדיקת הזרם נכשלה",
+      "testFailedTitle": "הבדיקה נכשלה",
+      "connected": "מחובר",
+      "notConnected": "לא מחובר",
+      "featuresTitle": "תכונות",
+      "go2rtc": "הפחתת חיבורים למצלמה",
+      "detectRoleWarning": "כדי להמשיך, לפחות זרם אחד חייב להיות עם ייעוד \"detect\".",
+      "rolesPopover": {
+        "title": "ייעודי הזרם",
+        "detect": "הזרם הראשי לזיהוי אובייקטים.",
+        "record": "שומר קטעים מזרם הווידאו לפי הגדרות התצורה.",
+        "audio": "זרם לזיהוי מבוסס אודיו."
+      },
+      "featuresPopover": {
+        "title": "תכונות הזרם",
+        "description": "השתמש ב־go2rtc לריסטרים (Restream) כדי להפחית את מספר החיבורים למצלמה שלך."
+      },
+      "streamUrlPlaceholder": "rtsp://username:password@host:port/path"
+    },
+    "step4": {
+      "description": "אימות וניתוח סופיים לפני שמירת המצלמה החדשה. התחבר לכל זרם לפני השמירה.",
+      "validationTitle": "אימות הזרם",
+      "connectAllStreams": "התחברות לכל הזרמים",
+      "reconnectionSuccess": "חיבור מחדש הצליח.",
+      "reconnectionPartial": "חלק מהזרמים לא הצליחו להתחבר מחדש.",
+      "streamUnavailable": "תצוגה מקדימה של הזרם אינה זמינה",
+      "reload": "טעינה מחדש",
+      "connecting": "מתחבר...",
+      "streamTitle": "זרם {{number}}",
+      "valid": "תקין",
+      "failed": "נכשל",
+      "notTested": "לא נבדק",
+      "connectStream": "התחבר",
+      "connectingStream": "מתחבר",
+      "disconnectStream": "נתק",
+      "estimatedBandwidth": "רוחב־פס משוער",
+      "roles": "ייעודים",
+      "ffmpegModule": "שימוש במצב תאימות לזרם",
+      "ffmpegModuleDescription": "אם הזרם לא נטען אחרי כמה ניסיונות, נסה להפעיל את זה. כשהאפשרות פעילה, Frigate ישתמש במודול ffmpeg יחד עם go2rtc. זה עשוי לשפר תאימות עם זרמים של חלק מהמצלמות.",
+      "none": "ללא",
+      "error": "שגיאה",
+      "streamValidated": "הזרם {{number}} אומת בהצלחה",
+      "streamValidationFailed": "אימות הזרם {{number}} נכשל",
+      "saveAndApply": "שמירת מצלמה חדשה",
+      "saveError": "תצורה לא תקינה. בדוק את ההגדרות שלך.",
+      "issues": {
+        "title": "אימות הזרם",
+        "videoCodecGood": "קידוד הווידאו הוא {{codec}}.",
+        "audioCodecGood": "קידוד האודיו הוא {{codec}}.",
+        "resolutionHigh": "רזולוציה של {{resolution}} עשויה לגרום לשימוש מוגבר במשאבים.",
+        "resolutionLow": "רזולוציה של {{resolution}} עשויה להיות נמוכה מדי לזיהוי אמין של אובייקטים קטנים.",
+        "noAudioWarning": "לא זוהה אודיו בזרם הזה, ולכן ההקלטות יהיו ללא שמע.",
+        "audioCodecRecordError": "כדי לכלול אודיו בהקלטות נדרש קידוד שמע AAC.",
+        "audioCodecRequired": "כדי לאפשר זיהוי אודיו נדרש זרם שמע.",
+        "restreamingWarning": "הפחתת מספר החיבורים למצלמה עבור זרם ההקלטה (record) עשויה להעלות מעט את השימוש ב־CPU.",
+        "brands": {
+          "reolink-rtsp": "RTSP של Reolink לא מומלץ. הפעל HTTP בהגדרות הקושחה של המצלמה, ואז הפעל מחדש את אשף ההגדרה.",
+          "reolink-http": "בזרמי HTTP של Reolink מומלץ להשתמש ב־FFmpeg לתאימות טובה יותר. הפעל עבור הזרם הזה את האפשרות “שימוש במצב תאימות לזרם”."
+        },
+        "dahua": {
+          "substreamWarning": "זרם משנה 1 נעול לרזולוציה נמוכה. מצלמות רבות של Dahua / Amcrest / EmpireTech תומכות בזרמי משנה נוספים שצריך להפעיל בהגדרות המצלמה מומלץ לבדוק אם קיימים זרמי משנה כאלה ולהשתמש בהם במידה וזמינים."
+        },
+        "hikvision": {
+          "substreamWarning": "זרם משנה 1 נעול לרזולוציה נמוכה. מצלמות רבות של Hikvision תומכות בזרמי משנה נוספים שצריך להפעיל בהגדרות המצלמה. מומלץ לבדוק אם קיימים זרמי משנה כאלה ולהשתמש בהם, אם הם זמינים."
+        }
+      }
+    },
+    "title": "הוסף מצלמה",
+    "description": "בצע את השלבים הבאים כדי להוסיף מצלמה חדשה להתקנת ה־Frigate שלך.",
+    "steps": {
+      "nameAndConnection": "שם וחיבור",
+      "probeOrSnapshot": "בדיקה (Probe) או צילום תמונה (Snapshot)",
+      "streamConfiguration": "הגדרות זרם",
+      "validationAndTesting": "אימות ובדיקה"
+    },
+    "save": {
+      "success": "המצלמה החדשה {{cameraName}} נשמרה בהצלחה.",
+      "failure": "שגיאה בשמירת {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "רזולוציה",
+      "video": "וידיאו",
+      "audio": "אודיו",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "אנא ספק כתובת URL תקינה לזרם",
+      "testFailed": "בדיקת הזרם נכשלה: {{error}}"
+    }
+  },
+  "cameraManagement": {
+    "title": "ניהול מצלמות",
+    "addCamera": "הוספת מצלמה חדשה",
+    "editCamera": "עריכת מצלמה:",
+    "selectCamera": "בחירת מצלמה",
+    "backToSettings": "חזרה להגדרות מצלמה",
+    "streams": {
+      "title": "הפעלה / השבתה של מצלמות",
+      "desc": "השבת מצלמה זמנית עד ש־Frigate יופעל מחדש. השבתת מצלמה עוצרת לחלוטין את העיבוד של Frigate עבור זרמי המצלמה הזו. זיהוי, הקלטה וניפוי שגיאות לא יהיו זמינים.<br />\n<em>הערה: פעולה זו לא משביתה את ה־restreams של go2rtc.</em>"
+    },
+    "cameraConfig": {
+      "add": "הוספת מצלמה",
+      "edit": "עריכת מצלמה",
+      "description": "נהל את הגדרות המצלמה, כולל קלטי הזרמים והייעודים שלהם.",
+      "name": "שם מצלמה",
+      "nameRequired": "שם המצלמה הוא שדה חובה",
+      "nameLength": "שם המצלמה חייב להיות קצר מ־64 תווים.",
+      "namePlaceholder": "לדוגמה: front_door או תצוגת סקירה של החצר האחורית",
+      "enabled": "מופעל",
+      "ffmpeg": {
+        "inputs": "זרמי קלט",
+        "path": "נתיב זרם",
+        "pathRequired": "נתיב זרם הוא שדה חובה",
+        "roles": "ייעודים",
+        "rolesRequired": "נדרש לפחות ייעוד אחד",
+        "rolesUnique": "כל ייעוד (audio, detect, record) ניתן להקצות לזרם אחד בלבד",
+        "addInput": "הוסף זרם קלט",
+        "removeInput": "הסר זרם קלט",
+        "inputsRequired": "נדרש לפחות זרם קלט אחד",
+        "pathPlaceholder": "rtsp://..."
+      },
+      "go2rtcStreams": "זרמי go2rtc",
+      "streamUrls": "כתובות URL של הזרמים",
+      "addUrl": "הוסף URL",
+      "addGo2rtcStream": "הוסף זרם go2rtc",
+      "toast": {
+        "success": "המצלמה {{cameraName}} נשמרה בהצלחה"
+      }
+    }
+  },
+  "cameraReview": {
+    "title": "הגדרות סקירת מצלמה",
+    "object_descriptions": {
+      "title": "Generative AI תיאורי אובייקטים",
+      "desc": "הפעל/השבת זמנית תיאורי אובייקטים של Generative AI עבור מצלמה זו. כאשר האפשרות מושבתת, לא יתבקשו תיאורים שנוצרו ע״י AI עבור אובייקטים במעקב במצלמה זו."
+    },
+    "review_descriptions": {
+      "title": "תיאורי סקירה של Generative AI",
+      "desc": "הפעל/השבת זמנית תיאורי סקירה של Generative AI עבור מצלמה זו. כאשר האפשרות מושבתת, לא יתבקשו תיאורים שנוצרו ע״י AI עבור פריטי סקירה במצלמה זו."
+    },
+    "review": {
+      "title": "סקירה",
+      "desc": "הפעל/השבת זמנית התראות וזיהויים עבור מצלמה זו עד ש-Frigate יופעל מחדש. כאשר האפשרות מושבתת, לא ייווצרו פריטי סקירה חדשים. ",
+      "alerts": "התראות. ",
+      "detections": "זיהויים. "
+    },
+    "reviewClassification": {
+      "title": "סיווג סקירה",
+      "desc": "Frigate מסווג פריטי סקירה ל־התראות ול־זיהויים. כברירת מחדל, כל אובייקט מסוג <em>person</em> ו־<em>car</em> נחשב ל־התראה. ניתן לדייק את הסיווג של פריטי הסקירה שלך באמצעות הגדרת אזורים נדרשים עבורם.",
+      "noDefinedZones": "לא הוגדרו אזורים למצלמה זו.",
+      "objectAlertsTips": "כל האובייקטים מסוג {{alertsLabels}} ב־{{cameraName}} יוצגו כהתראות.",
+      "zoneObjectAlertsTips": "כל האובייקטים מסוג {{alertsLabels}} שזוהו בתוך {{zone}} ב־{{cameraName}} יוצגו כהתראות.",
+      "objectDetectionsTips": "כל האובייקטים מסוג {{detectionsLabels}} שלא סווגו ב־{{cameraName}} יוצגו כזיהויים, ללא קשר לאיזה אזור הם נמצאים בו.",
+      "zoneObjectDetectionsTips": {
+        "text": "כל האובייקטים מסוג {{detectionsLabels}} שלא סווגו בתוך {{zone}} ב־{{cameraName}} יוצגו כזיהויים.",
+        "notSelectDetections": "כל האובייקטים מסוג {{detectionsLabels}} שזוהו בתוך {{zone}} ב־{{cameraName}} ושאינם מסווגים כהתראות יוצגו כזיהויים, ללא קשר לאיזה אזור הם נמצאים בו.",
+        "regardlessOfZoneObjectDetectionsTips": "כל האובייקטים מסוג {{detectionsLabels}} שלא סווגו ב־{{cameraName}} יוצגו כזיהויים, ללא קשר לאיזה אזור הם נמצאים בו."
+      },
+      "unsavedChanges": "הגדרות סיווג סקירה שלא נשמרו עבור {{camera}}",
+      "selectAlertsZones": "בחר אזורים עבור התראות",
+      "selectDetectionsZones": "בחר אזורים עבור זיהויים",
+      "limitDetections": "הגבל זיהויים לאזורים מסוימים",
+      "toast": {
+        "success": "הגדרות סיווג הסקירה נשמרו. הפעל מחדש את Frigate כדי להחיל את השינויים."
+      }
+    }
+  },
+  "roles": {
+    "management": {
+      "title": "ניהול תפקיד צופה",
+      "desc": "נהל תפקידי צופה מותאמים אישית ואת הרשאות הגישה שלהם למצלמות עבור מופע Frigate זה."
+    },
+    "addRole": "הוסף תפקיד",
+    "table": {
+      "role": "תפקיד",
+      "cameras": "מצלמות",
+      "actions": "פעולות",
+      "noRoles": "לא נמצאו תפקידים מותאמים אישית.",
+      "editCameras": "ערוך מצלמות",
+      "deleteRole": "מחק תפקיד"
+    },
+    "toast": {
+      "success": {
+        "createRole": "התפקיד {{role}} נוצר בהצלחה",
+        "updateCameras": "המצלמות עודכנו עבור התפקיד {{role}}",
+        "deleteRole": "התפקיד {{role}} נמחק בהצלחה",
+        "userRolesUpdated_one": "המשתמש {{count}} שהוקצה לתפקיד זה עודכן ל־צופה (viewer), שלו יש גישה לכל המצלמות.",
+        "userRolesUpdated_two": "{{count}} משתמשים שהוקצו לתפקיד זה עודכנו ל־צופה (viewer), שלו יש גישה לכל המצלמות.",
+        "userRolesUpdated_other": ""
+      },
+      "error": {
+        "createRoleFailed": "נכשל ביצירת התפקיד: {{errorMessage}}",
+        "updateCamerasFailed": "נכשל בעדכון המצלמות: {{errorMessage}}",
+        "deleteRoleFailed": "נכשל במחיקת התפקיד: {{errorMessage}}",
+        "userUpdateFailed": "נכשל בעדכון תפקידי המשתמשים: {{errorMessage}}"
+      }
+    },
+    "dialog": {
+      "createRole": {
+        "title": "צור תפקיד חדש",
+        "desc": "הוסף תפקיד חדש והגדר הרשאות גישה למצלמות."
+      },
+      "editCameras": {
+        "title": "ערוך מצלמות לתפקיד",
+        "desc": "עדכן את גישת המצלמות עבור התפקיד <strong>{{role}}</strong>."
+      },
+      "deleteRole": {
+        "title": "מחק תפקיד",
+        "desc": "לא ניתן לבטל פעולה זו. הפעולה תמחק לצמיתות את התפקיד ותעביר כל משתמש שהוקצה לתפקיד זה לתפקיד צופה (viewer), המעניק גישה לכל המצלמות.",
+        "warn": "האם אתה בטוח שברצונך למחוק את <strong>{{role}}</strong>?",
+        "deleting": "מוחק..."
+      },
+      "form": {
+        "role": {
+          "title": "שם תפקיד",
+          "placeholder": "הזן שם תפקיד",
+          "desc": "מותר להשתמש רק באותיות, מספרים, נקודות וקווים תחתונים.",
+          "roleIsRequired": "שם תפקיד הוא שדה חובה",
+          "roleOnlyInclude": "שם התפקיד יכול לכלול רק אותיות, מספרים, נקודות או קווים תחתונים",
+          "roleExists": "כבר קיים תפקיד בשם זה."
+        },
+        "cameras": {
+          "title": "מצלמות",
+          "desc": "בחר את המצלמות שלתפקיד זה יש גישה אליהן. נדרשת לפחות מצלמה אחת.",
+          "required": "חובה לבחור לפחות מצלמה אחת."
+        }
+      }
+    }
+  },
+  "triggers": {
+    "documentTitle": "טריגרים",
+    "semanticSearch": {
+      "title": "חיפוש סמנטי מושבת",
+      "desc": "כדי להשתמש בטריגרים, יש להפעיל חיפוש סמנטי."
+    },
+    "management": {
+      "title": "טריגרים",
+      "desc": "נהל טריגרים עבור {{camera}}. השתמש בסוג תמונה ממוזערת (Thumbnail) כדי להפעיל טריגרים על תמונות ממוזערות דומות לאובייקט שבחרת למעקב, ובסוג תיאור (Description) כדי להפעיל טריגרים על תיאורים דומים לטקסט שתגדיר."
+    },
+    "addTrigger": "הוסף טריגר",
+    "table": {
+      "name": "שם",
+      "type": "סוג",
+      "content": "תוכן",
+      "threshold": "סף",
+      "actions": "פעולות",
+      "noTriggers": "לא הוגדרו טריגרים למצלמה זו.",
+      "edit": "עריכה",
+      "deleteTrigger": "מחק טריגר",
+      "lastTriggered": "הפעלה אחרונה"
+    },
+    "type": {
+      "thumbnail": "תמונה ממוזערת",
+      "description": "תיאור"
+    },
+    "actions": {
+      "notification": "שלח התראה",
+      "sub_label": "הוסף תווית משנה",
+      "attribute": "הוסף מאפיינים"
+    },
+    "dialog": {
+      "createTrigger": {
+        "title": "צור טריגר",
+        "desc": "צור טריגר עבור המצלמה {{camera}}"
+      },
+      "editTrigger": {
+        "title": "ערוך טריגר",
+        "desc": "ערוך את ההגדרות עבור הטריגר במצלמה {{camera}}"
+      },
+      "deleteTrigger": {
+        "title": "מחק טריגר",
+        "desc": "האם אתה בטוח שברצונך למחוק את הטריגר <strong>{{triggerName}}</strong>? פעולה זו אינה ניתנת לביטול."
+      },
+      "form": {
+        "name": {
+          "title": "שם",
+          "placeholder": "תן שם לטריגר",
+          "description": "הזן שם או תיאור ייחודיים לזיהוי הטריגר הזה",
+          "error": {
+            "minLength": "השדה חייב להכיל לפחות 2 תווים.",
+            "invalidCharacters": "השדה יכול להכיל רק אותיות, מספרים, קווים תחתונים (_) ומקפים (-).",
+            "alreadyExists": "כבר קיים טריגר בשם זה עבור מצלמה זו."
+          }
+        },
+        "enabled": {
+          "description": "הפעל או השבת טריגר זה"
+        },
+        "type": {
+          "title": "סוג",
+          "placeholder": "בחר סוג טריגר",
+          "description": "הפעל טריגר כאשר מזוהה תיאור דומה של אובייקט במעקב",
+          "thumbnail": "הפעל טריגר כאשר מזוהה תמונה ממוזערת דומה של אובייקט במעקב"
+        },
+        "content": {
+          "title": "תוכן",
+          "imagePlaceholder": "בחר תמונה ממוזערת",
+          "textPlaceholder": "הזן תוכן טקסט",
+          "imageDesc": "מוצגות רק 100 התמונות הממוזערות האחרונות. אם אינך מוצא את התמונה הממוזערת הרצויה, אנא סקור אובייקטים מוקדמים יותר ב־Explore והגדר משם טריגר דרך התפריט.",
+          "textDesc": "הזן טקסט להפעלת פעולה זו כאשר מזוהה תיאור דומה של אובייקט במעקב.",
+          "error": {
+            "required": "נדרש תוכן."
+          }
+        },
+        "threshold": {
+          "title": "סף",
+          "desc": "הגדר את סף הדמיון עבור טריגר זה. סף גבוה יותר מחייב התאמה קרובה יותר כדי להפעיל את הטריגר.",
+          "error": {
+            "min": "הסף חייב להיות לפחות 0",
+            "max": "הסף חייב להיות לכל היותר 1"
+          }
+        },
+        "actions": {
+          "title": "פעולות",
+          "desc": "כברירת מחדל, Frigate שולח הודעת MQTT עבור כל הטריגרים. תוויות משנה (Sub Labels) מוסיפות את שם הטריגר לתווית האובייקט. מאפיינים (Attributes) הם מטא־נתונים הניתנים לחיפוש, הנשמרים בנפרד במטא־הנתונים של האובייקט במעקב.",
+          "error": {
+            "min": "חובה לבחור לפחות פעולה אחת."
+          }
+        }
+      }
+    },
+    "wizard": {
+      "title": "צור טריגר",
+      "step1": {
+        "description": "הגדר את ההגדרות הבסיסיות של הטריגר שלך."
+      },
+      "step2": {
+        "description": "הגדר את התוכן שיפעיל פעולה זו."
+      },
+      "step3": {
+        "description": "הגדר את הסף והפעולות עבור טריגר זה."
+      },
+      "steps": {
+        "nameAndType": "שם וסוג",
+        "configureData": "הגדר נתונים",
+        "thresholdAndActions": "סף ופעולות"
+      }
+    },
+    "toast": {
+      "success": {
+        "createTrigger": "הטריגר {{name}} נוצר בהצלחה.",
+        "updateTrigger": "הטריגר {{name}} עודכן בהצלחה.",
+        "deleteTrigger": "הטריגר {{name}} נמחק בהצלחה."
+      },
+      "error": {
+        "createTriggerFailed": "נכשל ביצירת הטריגר: {{errorMessage}}",
+        "updateTriggerFailed": "נכשל בעדכון הטריגר: {{errorMessage}}",
+        "deleteTriggerFailed": "נכשל במחיקת הטריגר: {{errorMessage}}"
+      }
+    }
   }
 }
diff --git a/web/public/locales/he/views/system.json b/web/public/locales/he/views/system.json
index 4e21f1a0a..fa32918f6 100644
--- a/web/public/locales/he/views/system.json
+++ b/web/public/locales/he/views/system.json
@@ -7,7 +7,8 @@
     "reindexingEmbeddings": "אינדקס מחדש של ההטמעות ({{processed}}% הושלם)",
     "cameraIsOffline": "{{camera}} לא זמינה",
     "detectIsSlow": "{{detect}} איטי ({{speed}} אלפיות שנייה)",
-    "detectIsVerySlow": "{{detect}} איטי מאוד ({{speed}} אלפיות שנייה)"
+    "detectIsVerySlow": "{{detect}} איטי מאוד ({{speed}} אלפיות שנייה)",
+    "shmTooLow": "יש להגדיל את הקצאת ‎/dev/shm‏ ({{total}} MB) לפחות ל־{{min}} MB."
   },
   "documentTitle": {
     "cameras": "מצב מצלמות - Frigate",
@@ -52,7 +53,8 @@
       "inferenceSpeed": "מהירות זיהוי",
       "temperature": "טמפרטורת הגלאי",
       "cpuUsage": "ניצול מעבד על ידי הגלאי",
-      "memoryUsage": "שימוש בזיכרון על ידי הגלאי"
+      "memoryUsage": "שימוש בזיכרון על ידי הגלאי",
+      "cpuUsageInformation": "המעבד המשמש להכנת נתוני קלט ופלט אל/ממודלי זיהוי. ערך זה אינו מודד את השימוש בהסקה, גם אם נעשה שימוש במעבד גרפי או מאיץ."
     },
     "hardwareInfo": {
       "gpuMemory": "זיכרון GPU",
@@ -85,12 +87,24 @@
         }
       },
       "npuUsage": "שימוש ב-NPU",
-      "npuMemory": "NPU זיכרון"
+      "npuMemory": "NPU זיכרון",
+      "intelGpuWarning": {
+        "title": "אזהרת סטטיסטיקות GPU של Intel",
+        "message": "נתוני ה־GPU אינם זמינים",
+        "description": "זהו באג ידוע בכלי הדיווח של Intel לסטטיסטיקות GPU ‏(intel_gpu_top): לפעמים הוא “נשבר” ומתחיל להחזיר שוב ושוב שימוש GPU של 0%, גם במקרים שבהם ההאצה החומרתית וזיהוי האובייקטים כן עובדים תקין על ה־(i)GPU.\nזה לא באג של Frigate. אפשר לאתחל את ה־Host כדי לתקן את זה זמנית, וככה גם לוודא שה־GPU באמת עובד כמו שצריך.\nהתקלה הזו לא משפיעה על הביצועים."
+      }
     },
     "otherProcesses": {
       "title": "תהליכים אחרים",
       "processCpuUsage": "ניצול CPU של התהליך",
-      "processMemoryUsage": "ניצול זיכרון של תהליך"
+      "processMemoryUsage": "ניצול זיכרון של תהליך",
+      "series": {
+        "go2rtc": "go2rtc",
+        "recording": "מקליט",
+        "review_segment": "קטע סקירה",
+        "embeddings": "הטמעות",
+        "audio_detector": "זיהוי שמע"
+      }
     }
   },
   "enrichments": {
@@ -107,8 +121,18 @@
       "plate_recognition_speed": "מהירות זיהוי לוחית",
       "text_embedding_speed": "מהירות הטמעת טקסט",
       "yolov9_plate_detection_speed": "מהירות זיהוי לוחיות YOLOv9",
-      "yolov9_plate_detection": "זיהוי לוחיות YOLOv9"
-    }
+      "yolov9_plate_detection": "זיהוי לוחיות YOLOv9",
+      "review_description": "תיאור סקירה",
+      "review_description_speed": "מהירות תיאור הסקירה",
+      "review_description_events_per_second": "תיאור סקירה",
+      "object_description": "תיאור אובייקט",
+      "object_description_speed": "מהירות תיאור האובייקט",
+      "object_description_events_per_second": "תיאור אובייקט",
+      "classification": "סיווג {{name}}",
+      "classification_speed": "מהירות סיווג {{name}}",
+      "classification_events_per_second": "אירועי סיווג לשנייה עבור {{name}}"
+    },
+    "averageInf": "זמן הסקה ממוצע"
   },
   "storage": {
     "cameraStorage": {
@@ -129,6 +153,10 @@
       "title": "הקלטות",
       "earliestRecording": "ההקלטה המוקדמת ביותר הזמינה:",
       "tips": "ערך זה מייצג את סך האחסון בו משתמשים ההקלטות במסד הנתונים של Frigate. Frigate אינו עוקב אחר ניצול האחסון עבור כל הקבצים בדיסק שלך."
+    },
+    "shm": {
+      "title": "הקצאת SHM (זיכרון משותף)",
+      "warning": "גודל ה־SHM הנוכחי של {{total}}MB קטן מדי. הגדל אותו לפחות ל־{{min_shm}}MB."
     }
   },
   "cameras": {
diff --git a/web/public/locales/hi/views/classificationModel.json b/web/public/locales/hi/views/classificationModel.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/hi/views/classificationModel.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/hr/audio.json b/web/public/locales/hr/audio.json
index 5b518113a..55d1e5fce 100644
--- a/web/public/locales/hr/audio.json
+++ b/web/public/locales/hr/audio.json
@@ -1,3 +1,503 @@
 {
-  "speech": "Govor"
+  "speech": "Govor",
+  "babbling": "Brbljanje",
+  "bicycle": "Bicikl",
+  "yell": "Vikanje",
+  "car": "Automobil",
+  "bellow": "Rika",
+  "motorcycle": "Motocikl",
+  "whispering": "Šaptanje",
+  "bus": "Autobus",
+  "laughter": "Smijeh",
+  "train": "Vlak",
+  "snicker": "Smješkanje",
+  "boat": "ÄŒamac",
+  "crying": "Plakanje",
+  "singing": "Pjevanje",
+  "choir": "Zbor",
+  "yodeling": "Jodlanje",
+  "mantra": "Mantra",
+  "bird": "Ptica",
+  "child_singing": "Dijete pjeva",
+  "cat": "Mačka",
+  "dog": "Pas",
+  "horse": "Konj",
+  "sheep": "Ovca",
+  "whoop": "Ups",
+  "sigh": "Uzdah",
+  "chant": "Pjevanje",
+  "synthetic_singing": "Sintetičko pjevanje",
+  "rapping": "Repanje",
+  "humming": "Pjevušenje",
+  "groan": "Jauk",
+  "grunt": "Mrmljanje",
+  "whistling": "Zviždanje",
+  "breathing": "Disanje",
+  "wheeze": "Piskanje",
+  "snoring": "Hrkanje",
+  "gasp": "Izdisaj",
+  "pant": "Dahćanje",
+  "snort": "Šmrk",
+  "cough": "Kašalj",
+  "skateboard": "Skejtboard",
+  "door": "Vrata",
+  "mouse": "Miš",
+  "keyboard": "Tipkovnica",
+  "sink": "Sudoper",
+  "blender": "Blender",
+  "clock": "Sat",
+  "scissors": "Škare",
+  "hair_dryer": "Fen",
+  "toothbrush": "Četkica za zube",
+  "vehicle": "Vozilo",
+  "animal": "Životinja",
+  "bark": "Kora",
+  "goat": "Koza",
+  "camera": "Kamera",
+  "throat_clearing": "Pročišćavanje grla",
+  "sneeze": "Kihati",
+  "sniff": "Njuškanje",
+  "run": "Trčanje",
+  "shuffle": "Geganje",
+  "footsteps": "Koraci",
+  "chewing": "Žvakanje",
+  "biting": "Grizenje",
+  "gargling": "Grgljanje",
+  "stomach_rumble": "Kruljenje u želucu",
+  "burping": "Podrigivanje",
+  "hiccup": "Štucanje",
+  "fart": "Prdac",
+  "hands": "Ruke",
+  "finger_snapping": "Pucketanje prstima",
+  "clapping": "Pljesak",
+  "heartbeat": "Otkucaji srca",
+  "heart_murmur": "Šum na srcu",
+  "cheering": "Navijanje",
+  "applause": "Pljesak",
+  "chatter": "Brbljanje",
+  "crowd": "Publika",
+  "children_playing": "Djeca se igraju",
+  "pets": "Kućni ljubimci",
+  "yip": "Kevtanje",
+  "howl": "Zavijanje",
+  "bow_wow": "Bow Wow",
+  "growling": "Režanje",
+  "whimper_dog": "Ps Cvilenje",
+  "purr": "Purr",
+  "meow": "Mijau",
+  "hiss": "Šuštanje",
+  "caterwaul": "Caterlaul",
+  "livestock": "Stočarstvo",
+  "clip_clop": "Clip Clop",
+  "neigh": "Njiši",
+  "cattle": "Goveda",
+  "moo": "Muu",
+  "cowbell": "Kravlje zvono",
+  "pig": "Svinja",
+  "oink": "Oink",
+  "bleat": "Blejanje",
+  "fowl": "Perad",
+  "chicken": "Piletina",
+  "cluck": "Kljuc",
+  "cock_a_doodle_doo": "Kukurikurik",
+  "turkey": "Turska",
+  "gobble": "Halapljivo jedenje",
+  "duck": "Patka",
+  "quack": "Kvak",
+  "goose": "Guska",
+  "honk": "Truba",
+  "wild_animals": "Divlje životinje",
+  "roaring_cats": "Rikuće mačke",
+  "roar": "Rika",
+  "chirp": "Cvrkut",
+  "squawk": "Krik",
+  "pigeon": "Golub",
+  "coo": "Cvrkut",
+  "crow": "Vrana",
+  "caw": "Krak",
+  "owl": "Sova",
+  "hoot": "Hookanje",
+  "flapping_wings": "Mahanje krilima",
+  "dogs": "Psi",
+  "rats": "Štakori",
+  "patter": "Patkanje",
+  "insect": "Insekt",
+  "cricket": "Kriket",
+  "mosquito": "Komarac",
+  "fly": "Leti",
+  "buzz": "Bzz",
+  "frog": "Žaba",
+  "croak": "Krek",
+  "snake": "Zmija",
+  "rattle": "Zveckanje",
+  "whale_vocalization": "Vokalizacija kita",
+  "music": "Glazba",
+  "musical_instrument": "Glazbeni instrument",
+  "plucked_string_instrument": "Trzajući žičani instrument",
+  "guitar": "Gitara",
+  "electric_guitar": "Električna gitara",
+  "bass_guitar": "Bas gitara",
+  "acoustic_guitar": "Akustična gitara",
+  "steel_guitar": "Steel gitara",
+  "tapping": "Tapkanje",
+  "strum": "Tunganje",
+  "banjo": "Banjo (Instrument)",
+  "sitar": "Sitar (Instrument)",
+  "mandolin": "Mandolina",
+  "zither": "Cither",
+  "ukulele": "Ukulele (Instrument)",
+  "piano": "Klavir",
+  "electric_piano": "Električni klavir",
+  "organ": "Orgulje",
+  "electronic_organ": "Elektroničke orgulje",
+  "hammond_organ": "Hammond orgulje",
+  "synthesizer": "Sintesajzer",
+  "sampler": "Sampler (Instrument)",
+  "harpsichord": "Čembalo",
+  "percussion": "Udaraljke",
+  "drum_kit": "Bubnjarski set",
+  "drum_machine": "Bubnjarski stroj",
+  "drum": "Bubanj",
+  "snare_drum": "Doboš",
+  "rimshot": "Rimshot (udaranje po rubu bubnja)",
+  "drum_roll": "Bubnjarski uvod",
+  "bass_drum": "Bas bubanj",
+  "timpani": "Timpani bubnjevi",
+  "tabla": "Tabla",
+  "cymbal": "Činela",
+  "hi_hat": "Hi-Hat bubanj",
+  "wood_block": "Drveni blok",
+  "tambourine": "Tamburin",
+  "maraca": "Maraca (Instrument)",
+  "gong": "Gong (Instrument)",
+  "tubular_bells": "Tubular Bells (Instrument)",
+  "mallet_percussion": "Mallet udaraljke",
+  "marimba": "Marimba (Instrument)",
+  "glockenspiel": "Glockenspiel (Instrument)",
+  "vibraphone": "Vibrafon",
+  "steelpan": "Steelpan (Instrument)",
+  "orchestra": "Orkestar",
+  "brass_instrument": "Limeni instrumenti",
+  "french_horn": "Francuski rog",
+  "trumpet": "Truba",
+  "trombone": "Trombon",
+  "bowed_string_instrument": "Gudački žičani instrument",
+  "string_section": "Gudačka sekcija",
+  "violin": "Violina",
+  "pizzicato": "Pizzicato (Instrument)",
+  "cello": "Violončelo",
+  "double_bass": "Kontrabas",
+  "wind_instrument": "Puhački instrument",
+  "flute": "Flauta",
+  "saxophone": "Saksofon",
+  "clarinet": "Klarinet",
+  "harp": "Harfa",
+  "bell": "Zvono",
+  "church_bell": "Crkveno zvono",
+  "jingle_bell": "Zvončić",
+  "bicycle_bell": "Biciklističko zvono",
+  "tuning_fork": "Vilica za ugađanje",
+  "chime": "Zvono",
+  "wind_chime": "Zvono na vjetru",
+  "harmonica": "Usna harmonika",
+  "accordion": "Harmonika",
+  "bagpipes": "Gajde",
+  "didgeridoo": "Didgeridoo (Instrument)",
+  "theremin": "Theremin (Instrument)",
+  "singing_bowl": "Pjevajuća zdjela",
+  "scratching": "Grebanje",
+  "pop_music": "Pop glazba",
+  "hip_hop_music": "Hip-hop glazba",
+  "beatboxing": "Beatbox",
+  "rock_music": "Rock glazba",
+  "heavy_metal": "Heavy Metal (žanr rock glazbe)",
+  "punk_rock": "Punk Rock (žanr glazbe)",
+  "grunge": "Grunge (žanr glazbe)",
+  "progressive_rock": "Progresivni rock",
+  "rock_and_roll": "Rock and Roll (žanr glazbe)",
+  "psychedelic_rock": "Psihodelični rock",
+  "rhythm_and_blues": "Rhythm and Blues (žanr glazbe)",
+  "soul_music": "Soul glazba",
+  "reggae": "Reggae (žanr glazbe)",
+  "country": "Zemlja",
+  "swing_music": "Swing glazba",
+  "bluegrass": "Bluegrass (žanr glazbe)",
+  "funk": "Funk (žanr glazbe)",
+  "folk_music": "Narodna glazba",
+  "middle_eastern_music": "Bliskoistočna glazba",
+  "jazz": "Jazz (žanr glazbe)",
+  "disco": "Disco (žanr glazbe)",
+  "classical_music": "Klasična glazba",
+  "opera": "Opera",
+  "electronic_music": "Elektronička glazba",
+  "house_music": "House glazba",
+  "techno": "Techno (žanr glazbe)",
+  "dubstep": "Dubstep (žanr glazbe)",
+  "drum_and_bass": "Drum and Bass (žanr glazbe)",
+  "electronica": "Elektronika",
+  "electronic_dance_music": "Elektronička plesna glazba",
+  "ambient_music": "Ambijentalna glazba",
+  "trance_music": "Trance glazba",
+  "music_of_latin_america": "Glazba Latinske Amerike",
+  "salsa_music": "Salsa glazba",
+  "flamenco": "Flamenco (žanr glazbe)",
+  "blues": "Blues (žanr glazbe)",
+  "music_for_children": "Glazba za djecu",
+  "new-age_music": "New Age glazba",
+  "vocal_music": "Vokalna glazba",
+  "a_capella": "A Capella (Izvedba glazbe bez instrumenata)",
+  "music_of_africa": "Glazba Afrike",
+  "afrobeat": "Afrobeat (žanr glazbe)",
+  "christian_music": "Kršćanska glazba",
+  "gospel_music": "Gospel glazba",
+  "music_of_asia": "Glazba Azije",
+  "carnatic_music": "Karnatska glazba",
+  "music_of_bollywood": "Glazba Bollywooda",
+  "ska": "Ska (žanr glazbe)",
+  "traditional_music": "Tradicionalna glazba",
+  "independent_music": "Nezavisna glazba",
+  "song": "Pjesma",
+  "background_music": "Pozadinska glazba",
+  "theme_music": "Tematska glazba",
+  "jingle": "Jingle",
+  "soundtrack_music": "Glazba za glazbu",
+  "lullaby": "Uspavanka",
+  "video_game_music": "Glazba iz videoigara",
+  "christmas_music": "Božićna glazba",
+  "dance_music": "Plesna glazba",
+  "wedding_music": "Svadbena glazba",
+  "happy_music": "Sretna glazba",
+  "sad_music": "Tužna glazba",
+  "tender_music": "Nježna glazba",
+  "exciting_music": "Uzbudljiva glazba",
+  "angry_music": "Ljutita glazba",
+  "scary_music": "Strašna glazba",
+  "wind": "Vjetar",
+  "rustling_leaves": "Šuštanje lišća",
+  "wind_noise": "Buka vjetra",
+  "thunderstorm": "Grmljavinska oluja",
+  "thunder": "Grmljavina",
+  "water": "Voda",
+  "rain": "Kiša",
+  "raindrop": "Kap kiše",
+  "rain_on_surface": "Kiša na površini",
+  "stream": "Potok",
+  "waterfall": "Vodopad",
+  "ocean": "Ocean",
+  "waves": "Valovi",
+  "steam": "Parni vlakovi",
+  "gurgling": "Grgljanje",
+  "fire": "Požar",
+  "crackle": "Pucketanje",
+  "sailboat": "Jedrilica",
+  "rowboat": "Čamac na vesla",
+  "motorboat": "Motorni čamac",
+  "ship": "Brod",
+  "motor_vehicle": "Motorna vozila",
+  "toot": "Tut",
+  "car_alarm": "Automobilski alarm",
+  "power_windows": "Električni prozori",
+  "skidding": "Klizanje",
+  "tire_squeal": "Škripa guma",
+  "car_passing_by": "Prolazak automobila",
+  "race_car": "Trkaći automobil",
+  "truck": "Kamion",
+  "air_brake": "Zračna kočnica",
+  "air_horn": "Zračni rog",
+  "reversing_beeps": "Zvuk unatrag",
+  "ice_cream_truck": "Kamion za sladoled",
+  "emergency_vehicle": "Vozilo hitne pomoći",
+  "police_car": "Policijski automobil",
+  "ambulance": "Hitna pomoć",
+  "fire_engine": "Vatrogasno vozilo",
+  "traffic_noise": "Buka prometa",
+  "rail_transport": "Željeznički promet",
+  "train_whistle": "Zviždaljka vlaka",
+  "train_horn": "Sirena vlaka",
+  "railroad_car": "Željeznički vagon",
+  "train_wheels_squealing": "Škripa kotača vlaka",
+  "subway": "Podzemna željeznica",
+  "aircraft": "Zrakoplovi",
+  "aircraft_engine": "Zrakoplovni motor",
+  "jet_engine": "Mlazni motor",
+  "propeller": "Propeler",
+  "helicopter": "Helikopter",
+  "fixed-wing_aircraft": "Zrakoplovi s fiksnim krilima",
+  "engine": "Motor",
+  "light_engine": "Laka lokomotiva",
+  "dental_drill's_drill": "Dentalna bušilica",
+  "lawn_mower": "Kosilica za travu",
+  "chainsaw": "Motorna pila",
+  "medium_engine": "Srednji motor",
+  "heavy_engine": "Teški motor",
+  "engine_knocking": "Kucanje motora",
+  "engine_starting": "Pokretanje motora",
+  "idling": "Rad u praznom hodu",
+  "accelerating": "Ubrzavanje",
+  "doorbell": "Zvono na vratima",
+  "ding-dong": "Ding-Dong",
+  "sliding_door": "Klizna vrata",
+  "slam": "Slam (žanr glazbe)",
+  "knock": "Kuc",
+  "tap": "Tap",
+  "squeak": "Cvrkut",
+  "cupboard_open_or_close": "Otvaranje ili zatvaranje ormara",
+  "drawer_open_or_close": "Otvaranje ili zatvaranje ladice",
+  "dishes": "Jela",
+  "cutlery": "Pribor za jelo",
+  "chopping": "Sjeckanje",
+  "frying": "Prženje",
+  "microwave_oven": "Mikrovalna pećnica",
+  "water_tap": "Vodovodna slavina",
+  "bathtub": "Kada",
+  "toilet_flush": "Ispiranje WC-a",
+  "electric_toothbrush": "Električna četkica za zube",
+  "vacuum_cleaner": "Usisavač",
+  "zipper": "Patentni zatvarač",
+  "keys_jangling": "Zvuk ključeva",
+  "coin": "Novčić",
+  "electric_shaver": "Električni brijač",
+  "shuffling_cards": "Miješanje karata",
+  "typing": "Tipkanje",
+  "typewriter": "Pisaća mašina",
+  "computer_keyboard": "Računalna tipkovnica",
+  "writing": "Pisanje",
+  "alarm": "Alarm",
+  "telephone": "Telefon",
+  "telephone_bell_ringing": "Zvono telefona zvoni",
+  "ringtone": "Melodija zvona",
+  "telephone_dialing": "Telefonsko biranje",
+  "dial_tone": "Ton biranja",
+  "busy_signal": "Zauzeti signal",
+  "alarm_clock": "Budilica",
+  "siren": "Sirena",
+  "civil_defense_siren": "Sirena civilne zaštite",
+  "buzzer": "Buzzer (Uređaj)",
+  "smoke_detector": "Detektor dima",
+  "fire_alarm": "Protupožarni alarm",
+  "foghorn": "Maglenka",
+  "whistle": "Zviždaljka",
+  "steam_whistle": "Parna zviždaljka",
+  "mechanisms": "Mehanizmi",
+  "ratchet": "Zupčanik sa zaporom (ratchet)",
+  "tick": "Tik",
+  "tick-tock": "Tik-tak",
+  "gears": "Zupčanici",
+  "pulleys": "Koloture",
+  "sewing_machine": "Šivaći stroj",
+  "mechanical_fan": "Mehanički ventilator",
+  "air_conditioning": "Klima uređaj",
+  "cash_register": "Blagajna",
+  "printer": "Pisač",
+  "single-lens_reflex_camera": "Jednooki refleksni fotoaparat",
+  "tools": "Alati",
+  "hammer": "Čekić",
+  "jackhammer": "Pneumatski čekić",
+  "sawing": "Piljenje",
+  "filing": "Podnošenje",
+  "sanding": "Brušenje",
+  "power_tool": "Električni alat",
+  "drill": "Vježba",
+  "explosion": "Eksplozija",
+  "gunshot": "Pucanj",
+  "machine_gun": "Mitraljez",
+  "fusillade": "Pucnjava",
+  "artillery_fire": "Topnička paljba",
+  "cap_gun": "Cap Gun",
+  "fireworks": "Vatromet",
+  "firecracker": "Petarda",
+  "burst": "Prasak",
+  "eruption": "Erupcija",
+  "boom": "Bum",
+  "wood": "Drvo",
+  "chop": "Brzo.",
+  "splinter": "Rascijepanje",
+  "crack": "Pukotina",
+  "glass": "Staklo",
+  "chink": "Kinez",
+  "shatter": "Razbijanje",
+  "silence": "Tišina",
+  "sound_effect": "Zvučni efekt",
+  "environmental_noise": "Okolišna buka",
+  "static": "Statički",
+  "white_noise": "Bijeli šum",
+  "pink_noise": "Ružičasti šum",
+  "television": "Televizija",
+  "radio": "Radio",
+  "field_recording": "Terensko snimanje",
+  "scream": "Vrisak",
+  "sodeling": "Sodeling",
+  "chird": "Chird",
+  "change_ringing": "Trčanje zvona",
+  "shofar": "Šofar",
+  "liquid": "Tekućina",
+  "splash": "Pljusak",
+  "slosh": "Pljusak",
+  "squish": "Zgnječenje",
+  "drip": "Kapanje",
+  "pour": "Usipanje",
+  "trickle": "Kapljanje",
+  "gush": "Brzo izlijevanje",
+  "fill": "Napuni",
+  "spray": "Prskanje",
+  "pump": "Pumpa",
+  "stir": "Miješaj",
+  "boiling": "Kuhanje",
+  "sonar": "Sonar",
+  "arrow": "Strijela",
+  "whoosh": "Whoosh",
+  "thump": "Tup",
+  "thunk": "Tup",
+  "electronic_tuner": "Elektronički tuner",
+  "effects_unit": "Jedinica za efekte",
+  "chorus_effect": "Efekt zbora",
+  "basketball_bounce": "Košarkaški odskok",
+  "bang": "Bam",
+  "slap": "Pljusak",
+  "whack": "Udarac",
+  "smash": "Slamanje",
+  "breaking": "Razbijanje",
+  "bouncing": "Skakanje",
+  "whip": "Bič",
+  "flap": "Flop",
+  "scratch": "Grebanje",
+  "scrape": "Struganje",
+  "rub": "Trljanje",
+  "roll": "Rolanje",
+  "crushing": "Drobljenje",
+  "crumpling": "Gužvanje",
+  "tearing": "Razdiruća",
+  "beep": "Bip",
+  "ping": "Ping",
+  "ding": "Ding",
+  "clang": "Klang",
+  "squeal": "Cviljenje",
+  "creak": "Škripa",
+  "rustle": "Šuštanje",
+  "whir": "Šuštanje",
+  "clatter": "Zveket",
+  "sizzle": "Crvčanje",
+  "clicking": "Klikovi",
+  "clickety_clack": "Klikety klak",
+  "rumble": "Tutnjanje",
+  "plop": "Plop",
+  "hum": "Šum",
+  "zing": "Cing",
+  "boing": "Boing",
+  "crunch": "Krckanje",
+  "sine_wave": "Sinusni val",
+  "harmonic": "Harmonik",
+  "chirp_tone": "Ton cvrkuta",
+  "pulse": "Puls",
+  "inside": "Unutra",
+  "outside": "Izvana",
+  "reverberation": "Reverberacija",
+  "echo": "Jeka",
+  "noise": "Buka",
+  "mains_hum": "Zujanje glavnih zvučnika",
+  "distortion": "Izobličenje",
+  "sidetone": "Bočni Ton",
+  "cacophony": "Kakofonija",
+  "throbbing": "Pulsirajuća",
+  "vibration": "Vibracija"
 }
diff --git a/web/public/locales/hr/common.json b/web/public/locales/hr/common.json
index af7c7980c..1b080afe1 100644
--- a/web/public/locales/hr/common.json
+++ b/web/public/locales/hr/common.json
@@ -1,5 +1,305 @@
 {
   "time": {
-    "untilForTime": "Do {{time}}"
+    "untilForTime": "Do {{time}}",
+    "untilForRestart": "Dok se Frigate ponovno pokrene.",
+    "untilRestart": "Do ponovnog pokretanja",
+    "justNow": "Upravo",
+    "today": "Danas",
+    "yesterday": "Jučer",
+    "last7": "Zadnjih 7 dana",
+    "last14": "Zadnjih 14 dana",
+    "last30": "Zadnjih 30 dana",
+    "thisWeek": "Ovaj tjedan",
+    "lastWeek": "Prošli tjedan",
+    "thisMonth": "Ovaj mjesec",
+    "lastMonth": "Prošli mjesec",
+    "5minutes": "5 minuta",
+    "10minutes": "10 minuta",
+    "30minutes": "30 minuta",
+    "1hour": "1 sat",
+    "12hours": "12 sati",
+    "24hours": "24 sata",
+    "pm": "pm",
+    "am": "am",
+    "ago": "prije {{timeAgo}}",
+    "yr": "{{time}}g.",
+    "year_one": "{{time}} godina",
+    "year_few": "{{time}} godine",
+    "year_other": "{{time}} godina",
+    "mo": "{{time}}mj.",
+    "month_one": "{{time}} mjesec",
+    "month_few": "{{time}} mjeseca",
+    "month_other": "{{time}} mjeseci",
+    "day_one": "{{time}} dan",
+    "day_few": "{{time}} dana",
+    "day_other": "{{time}} dana",
+    "h": "{{time}}h",
+    "hour_one": "{{time}} sat",
+    "hour_few": "{{time}} sata",
+    "hour_other": "{{time}} sati",
+    "minute_one": "{{time}} minuta",
+    "minute_few": "{{time}} minute",
+    "minute_other": "{{time}} minuta",
+    "second_one": "{{time}} sekunda",
+    "second_few": "{{time}} sekunde",
+    "second_other": "{{time}} sekundi",
+    "d": "{{time}}d",
+    "m": "{{time}}m",
+    "s": "{{time}}s",
+    "formattedTimestamp": {
+      "12hour": "d. MMM, h:mm:ss aaa",
+      "24hour": "d. MMM, HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "dd/MM h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "d MMM, h:mm aaa",
+      "24hour": "d. MMM, HH:mm"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "d. MMM, yyyy",
+      "24hour": "d. MMM, yyyy"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "d. MMM yyyy, h:mm aaa",
+      "24hour": "d. MMM yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "d. MMM",
+    "formattedTimestampFilename": {
+      "12hour": "dd-MM-yy-h-mm-ss-a",
+      "24hour": "dd-MM-yy-HH-mm-ss"
+    },
+    "inProgress": "U tijeku",
+    "invalidStartTime": "Nevažeće vrijeme početka",
+    "invalidEndTime": "Nevažeće vrijeme završetka"
+  },
+  "menu": {
+    "live": {
+      "cameras": {
+        "count_one": "{{count}} kamera",
+        "count_few": "{{count}} kamere",
+        "count_other": "{{count}} kamera",
+        "title": "Kamere"
+      },
+      "title": "Uživo",
+      "allCameras": "Sve Kamere"
+    },
+    "system": "Sustav",
+    "systemMetrics": "Metrike sustava",
+    "configuration": "Konfiguracija",
+    "systemLogs": "Zapisnici sustava",
+    "settings": "Postavke",
+    "configurationEditor": "Uređivač konfiguracije",
+    "languages": "Jezici",
+    "language": {
+      "en": "Engleski",
+      "es": "Španjolski",
+      "zhCN": "简体中文 (Pojednostavljeni Kineski)",
+      "hi": "हिन्दी (Hindi)",
+      "fr": "Francuski",
+      "ar": "العربية (Arapski)",
+      "pt": "Portugalski",
+      "ptBR": "Brazilski Portugalski",
+      "ru": "Ruski",
+      "de": "Njemački",
+      "ja": "Japanski",
+      "tr": "Turski",
+      "it": "Talijanski",
+      "nl": "Nizozemski",
+      "sv": "Švedski",
+      "cs": "Češki",
+      "nb": "Norveški bokmål",
+      "ko": "Korejski",
+      "vi": "Vietnamski",
+      "fa": "Perzijski",
+      "pl": "Poljski",
+      "uk": "Ukrajinski",
+      "he": "Hebrejski",
+      "el": "Grčki",
+      "ro": "Rumunjski",
+      "hu": "Mađarski",
+      "fi": "Finski",
+      "da": "Danski",
+      "sk": "Slovački",
+      "yue": "Kantonščina",
+      "th": "Tajski",
+      "ca": "Katalonski",
+      "sr": "Srpski",
+      "sl": "Slovenski",
+      "lt": "Litvanski",
+      "bg": "Bulgarski",
+      "gl": "Galicijski",
+      "id": "Indonezijski",
+      "ur": "Urdu",
+      "withSystem": {
+        "label": "Koristi postavke sustava za jezik"
+      }
+    },
+    "appearance": "Izgled",
+    "darkMode": {
+      "label": "Tamni način",
+      "light": "Svijetla",
+      "dark": "Tamna",
+      "withSystem": {
+        "label": "Koristi postavke sustava za svijetli ili tamni način rada"
+      }
+    },
+    "withSystem": "Sustav",
+    "theme": {
+      "label": "Tema",
+      "blue": "Plava",
+      "green": "Zelena",
+      "nord": "Nord",
+      "red": "Crvena",
+      "highcontrast": "Visoki Kontrast",
+      "default": "Zadana"
+    },
+    "help": "Pomoć",
+    "documentation": {
+      "title": "Dokumentacija",
+      "label": "Frigate dokumentacija"
+    },
+    "restart": "Ponovno pokreni Frigate",
+    "review": "Pregled",
+    "explore": "Istraži",
+    "export": "Izvezi",
+    "uiPlayground": "Igralište korisničkog sučelja",
+    "faceLibrary": "Biblioteka Lica",
+    "classification": "Klasifikacija",
+    "user": {
+      "title": "Korisnik",
+      "account": "Račun",
+      "current": "Trenutni Korisnik: {{user}}",
+      "anonymous": "anonimno",
+      "logout": "Odjava",
+      "setPassword": "Postavi Lozinku"
+    }
+  },
+  "button": {
+    "save": "Spremi",
+    "apply": "Primjeni",
+    "reset": "Resetiraj",
+    "done": "Gotovo",
+    "enabled": "Omogućeno",
+    "enable": "Omogući",
+    "disabled": "Onemogućeno",
+    "disable": "Onemogući",
+    "saving": "Spremanje…",
+    "cancel": "Odustani",
+    "close": "Zatvori",
+    "copy": "Kopiraj",
+    "back": "Nazad",
+    "history": "Povijest",
+    "fullscreen": "Cijeli zaslon",
+    "exitFullscreen": "Izađi iz cijelog zaslona",
+    "pictureInPicture": "Slika u Slici",
+    "twoWayTalk": "Dvosmjerni razgovor",
+    "cameraAudio": "Kamera Zvuk",
+    "on": "UKLJUČENO",
+    "off": "ISKLJUČENO",
+    "edit": "Uredi",
+    "copyCoordinates": "Kopiraj koordinate",
+    "delete": "Izbriši",
+    "yes": "Da",
+    "no": "Ne",
+    "download": "Preuzmi",
+    "info": "Informacije",
+    "suspended": "Obustavljeno",
+    "unsuspended": "Ponovno aktiviraj",
+    "play": "Reproduciraj",
+    "unselect": "Odznači",
+    "export": "Izvezi",
+    "deleteNow": "Izbriši Sada",
+    "next": "Sljedeće",
+    "continue": "Nastavi"
+  },
+  "unit": {
+    "speed": {
+      "mph": "mph",
+      "kph": "km/h"
+    },
+    "length": {
+      "feet": "stopa",
+      "meters": "metri"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/sat",
+      "mbph": "MB/sat",
+      "gbph": "GB/sat"
+    }
+  },
+  "label": {
+    "back": "Idi nazad",
+    "hide": "Sakrij {{item}}",
+    "show": "Prikaži {{item}}",
+    "ID": "ID",
+    "none": "Nema",
+    "all": "Sve",
+    "other": "Druge"
+  },
+  "list": {
+    "two": "{{0}} i {{1}}",
+    "many": "{{items}} i {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "Opcionalno",
+    "internalID": "Interni ID koji Frigate koristi u konfiguraciji i bazi podataka"
+  },
+  "toast": {
+    "copyUrlToClipboard": "Kopiran URL u međuspremnik.",
+    "save": {
+      "title": "Spremi",
+      "error": {
+        "title": "Neuspješno spremanje promjena konfiguracije: {{errorMessage}}",
+        "noMessage": "Neuspješno spremanje promjena konfiguracije"
+      }
+    }
+  },
+  "role": {
+    "title": "Uloge",
+    "admin": "Administrator",
+    "viewer": "Gledatelj",
+    "desc": "Administratori imaju potpuni pristup svim značajkama u Frigate korisnickom sučelju. Gledatelji su ograničeni na pregled kamera, pregled stavki i povijesnog snimka u korisničkom sučelju."
+  },
+  "pagination": {
+    "label": "paginacija",
+    "previous": {
+      "title": "Prethodno",
+      "label": "Idi na prethodnu stranicu"
+    },
+    "next": {
+      "title": "Sljedeće",
+      "label": "Idi na sljedeću stranicu"
+    },
+    "more": "Više stranica"
+  },
+  "accessDenied": {
+    "documentTitle": "Pristup Odbijen - Frigate",
+    "title": "Pristup Odbijen",
+    "desc": "Nemaš dopuštenje za pregled ove stranice."
+  },
+  "notFound": {
+    "documentTitle": "Nije Nađeno - Frigate",
+    "title": "404",
+    "desc": "Stranica nije pronađena"
+  },
+  "selectItem": "Odaberi {{item}}",
+  "readTheDocumentation": "Čitaj dokumentaciju",
+  "information": {
+    "pixels": "{{area}}px"
   }
 }
diff --git a/web/public/locales/hr/components/auth.json b/web/public/locales/hr/components/auth.json
index f3b92ea45..74a83d2a4 100644
--- a/web/public/locales/hr/components/auth.json
+++ b/web/public/locales/hr/components/auth.json
@@ -1,5 +1,16 @@
 {
   "form": {
-    "user": "Korisničko ime"
+    "user": "Korisničko ime",
+    "password": "Lozinka",
+    "login": "Prijava",
+    "errors": {
+      "usernameRequired": "Korisničko ime je obavezno",
+      "passwordRequired": "Lozinka je obavezna",
+      "loginFailed": "Prijava nije uspjela",
+      "unknownError": "Nepoznata greška. Provjeri dnevnik.",
+      "webUnknownError": "Nepoznata greška. Provjerite logove u konzoli.",
+      "rateLimit": "Prekoračeno ograničenje. Pokušaj opet kasnije."
+    },
+    "firstTimeLogin": "Prokušavaš se prijaviti prvi put? Vjerodajnice su ispisane u Frigate logovima."
   }
 }
diff --git a/web/public/locales/hr/components/camera.json b/web/public/locales/hr/components/camera.json
index 271949a85..c973fa3f2 100644
--- a/web/public/locales/hr/components/camera.json
+++ b/web/public/locales/hr/components/camera.json
@@ -33,8 +33,54 @@
         "title": "{{cameraName}} Streaming Postavke",
         "desc": "Promijenite opcije streamanja uživo za nadzornu ploču ove grupe kamera. <em>Ove postavke su specifične za uređaj/preglednik.</em>",
         "audioIsAvailable": "Za ovaj prijenos dostupan je zvuk",
-        "audioIsUnavailable": "Za ovaj prijenos zvuk nije dostupan"
+        "audioIsUnavailable": "Za ovaj prijenos zvuk nije dostupan",
+        "audio": {
+          "tips": {
+            "title": "Audio mora dolaziti s vaše kamere i biti konfiguriran u go2rtc za ovaj prijenos."
+          }
+        },
+        "stream": "Prijenos",
+        "placeholder": "Izaberi prijenos",
+        "streamMethod": {
+          "label": "Metoda Prijenosa",
+          "placeholder": "Odaberi metodu prijenosa",
+          "method": {
+            "noStreaming": {
+              "label": "Nema Prijenosa",
+              "desc": "Slike s kamere bit će ažurirane samo jednom u minuti, a prijenos uživo neće biti dostupan."
+            },
+            "smartStreaming": {
+              "desc": "Pametno emitiranje ažurirat će sliku vaše kamere jednom u minuti kada nema prepoznatljive aktivnosti kako bi uštedjelo propusnost i resurse. Kada se detektira aktivnost, slika će se besprijekorno prebaciti na prijenos uživo.",
+              "label": "Pametno Emitiranje (preporučeno)"
+            },
+            "continuousStreaming": {
+              "label": "Kontinuirano Emitiranje",
+              "desc": {
+                "title": "Slika kamere uvijek će biti prijenos uživo kada je vidljiva na nadzornoj ploči, čak i ako nije detektirana nikakva aktivnost.",
+                "warning": "Neprekidno emitiranje može uzrokovati visok unos propusnosti i probleme s izvedbom. Koristite s oprezom."
+              }
+            }
+          }
+        },
+        "compatibilityMode": {
+          "label": "Način kompatibilnosti",
+          "desc": "Omogućite ovu opciju samo ako vaš prijenos uživo s kamere prikazuje artefakte boje i ima dijagonalnu liniju na desnoj strani slike."
+        }
       }
     }
+  },
+  "debug": {
+    "options": {
+      "label": "Postavke",
+      "title": "Opcije",
+      "showOptions": "Pokaži Opcije",
+      "hideOptions": "Sakrij Opcije"
+    },
+    "boundingBox": "Granični okvir",
+    "timestamp": "Vremenska oznaka",
+    "zones": "Zone",
+    "mask": "Maska",
+    "motion": "Kretnja",
+    "regions": "Regije"
   }
 }
diff --git a/web/public/locales/hr/components/dialog.json b/web/public/locales/hr/components/dialog.json
index 660031e5e..42030519d 100644
--- a/web/public/locales/hr/components/dialog.json
+++ b/web/public/locales/hr/components/dialog.json
@@ -1,5 +1,123 @@
 {
   "restart": {
-    "title": "Jeste li sigurni da želite ponovno pokrenuti Frigate?"
+    "title": "Jeste li sigurni da želite ponovno pokrenuti Frigate?",
+    "button": "Ponovno pokreni",
+    "restarting": {
+      "title": "Frigate se ponovno pokreće",
+      "content": "Ova stranica će se osvježiti za {{countdown}} sekundi.",
+      "button": "Forsiraj ponovno pokretanje odmah"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Pošalji u Frigate+",
+        "desc": "Objekti u lokacijama koje želiš izbjeći nisu lažno pozitivni. Slanjem njih kao lažno pozitivnih će zbuniti model."
+      },
+      "review": {
+        "question": {
+          "label": "Potvrdi oznaku za Frigate Plus",
+          "ask_a": "Da li je ovaj objekt <code>{{label}}</code>?",
+          "ask_an": "Da li je ovaj objekt <code>{{label}}</code>?",
+          "ask_full": "Da li je ovaj objekt <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        },
+        "state": {
+          "submitted": "Poslano"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Pogledaj u povijesti"
+    }
+  },
+  "export": {
+    "time": {
+      "lastHour_one": "Zadnji sat",
+      "lastHour_few": "Zadnja {{count}} sata",
+      "lastHour_other": "Zadnjih {{count}} sati",
+      "start": {
+        "title": "Vrijeme početka",
+        "label": "Odaberi vrijeme početka"
+      },
+      "end": {
+        "title": "Vrijeme kraja",
+        "label": "Odaberi vrijeme kraja"
+      },
+      "fromTimeline": "Izaberi sa vremenske crte",
+      "custom": "Prilagođeno"
+    },
+    "name": {
+      "placeholder": "Imenuj Izvoz"
+    },
+    "select": "Odaberi",
+    "export": "Izvoz",
+    "selectOrExport": "Odaberi ili Izvezi",
+    "toast": {
+      "success": "Izvoz je uspješno pokrenut. Datoteku možete pregledati na stranici za izvoz.",
+      "view": "Prikaz",
+      "error": {
+        "failed": "Nije uspjelo pokretanje izvoza: {{error}}",
+        "endTimeMustAfterStartTime": "Vrijeme završetka mora biti nakon vremena početka",
+        "noVaildTimeSelected": "Nema odabranog valjanog vremenskog raspona"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "Spremi Izvoz",
+      "previewExport": "Pregledaj Izvoz"
+    }
+  },
+  "streaming": {
+    "label": "Emitiraj",
+    "restreaming": {
+      "disabled": "Ponovno emitiranje nije omogućeno za ovu kameru.",
+      "desc": {
+        "title": "Postavi go2rtc za opcije dodatnog prikaza uživo i zvuk za ovu kameru."
+      }
+    },
+    "showStats": {
+      "label": "Pokaži statistike emitiranja",
+      "desc": "Omogući ovu opciju za prikaz statistike emitiranja kao proziran prozor na slici kamere."
+    },
+    "debugView": "Debug Prikaz"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Spremi Pretragu",
+      "desc": "Dodaj ime za ovu spremljenu pretragu.",
+      "placeholder": "Unesi ime za svoju pretragu",
+      "overwrite": "{{searchName}} već postoji. Spremanje će prepisati postojeću vrijednost.",
+      "success": "Pretraga ({{searchName}}) je spremljena.",
+      "button": {
+        "save": {
+          "label": "Spremi ovu pretragu"
+        }
+      }
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "Potvrdi Brisanje",
+      "desc": {
+        "selected": "Jeste li sigurni da želite izbrisati sav snimljen video povezan s ovom preglednom stavkom?<br /><br />Drži<em>Shift</em> tipku za zaobilaženje ove poruke u budućnosti."
+      },
+      "toast": {
+        "success": "Video snimke povezane s odabranim preglednim stavkama su uspješno izbrisane.",
+        "error": "Neuspješno brisanje: {{error}}"
+      }
+    },
+    "button": {
+      "export": "Izvezi",
+      "markAsReviewed": "Označi kao pregledano",
+      "markAsUnreviewed": "Označi kao nepregledano",
+      "deleteNow": "Izbriši sada"
+    }
+  },
+  "imagePicker": {
+    "selectImage": "Odaberi sličicu praćenog objekta",
+    "unknownLabel": "Spremljena Slika Okinuća",
+    "search": {
+      "placeholder": "Traži prema oznaci ili podoznaci..."
+    },
+    "noImages": "Sličica nisu nađene za ovu kameru"
   }
 }
diff --git a/web/public/locales/hr/components/filter.json b/web/public/locales/hr/components/filter.json
index e81df54d8..deac5b18b 100644
--- a/web/public/locales/hr/components/filter.json
+++ b/web/public/locales/hr/components/filter.json
@@ -1,6 +1,140 @@
 {
-  "filter": "Filtar",
+  "filter": "Filter",
   "classes": {
-    "label": "Klase"
+    "label": "Klase",
+    "all": {
+      "title": "Sve klase"
+    },
+    "count_one": "{{count}} Klasa",
+    "count_other": "{{count}} Klase"
+  },
+  "labels": {
+    "label": "Oznake",
+    "all": {
+      "title": "Sve oznake",
+      "short": "Oznake"
+    },
+    "count_one": "{{count}} oznake",
+    "count_other": "{{count}} oznake"
+  },
+  "zones": {
+    "label": "Zone",
+    "all": {
+      "title": "Sve zone",
+      "short": "Zone"
+    }
+  },
+  "dates": {
+    "selectPreset": "Odaberi predložak…",
+    "all": {
+      "title": "Svi datumi",
+      "short": "Datumi"
+    }
+  },
+  "more": "Više filtera",
+  "reset": {
+    "label": "Ponovno postavi filtere na zadane vrijednosti"
+  },
+  "timeRange": "Vremenski Raspon",
+  "subLabels": {
+    "label": "Podoznake",
+    "all": "Sve Podoznake"
+  },
+  "attributes": {
+    "label": "Klasifikacijski Atributi",
+    "all": "Svi Atributi"
+  },
+  "score": "Rezultat",
+  "estimatedSpeed": "Procijenjena Brzina ({{unit}})",
+  "features": {
+    "label": "Značajke",
+    "hasSnapshot": "Ima snimku",
+    "hasVideoClip": "Ima video isječak",
+    "submittedToFrigatePlus": {
+      "label": "Poslano na Frigate+",
+      "tips": "Prvo moraš filtrirati praćene objekte koji imaju snimku stanja.<br /><br />Praćeni objekti bez snimke stanja ne mogu se poslati Frigate+."
+    }
+  },
+  "sort": {
+    "label": "Poredaj",
+    "dateAsc": "Datum (Uzlazno)",
+    "dateDesc": "Datum (Silazno)",
+    "scoreAsc": "Ocjena Objekta (Uzlazno)",
+    "scoreDesc": "Ocjena objekta (uzlazno)",
+    "speedAsc": "Procijenjena Brzina (Uzlazno)",
+    "speedDesc": "Procijenjena Brzina (Silazno)",
+    "relevance": "Značajnost"
+  },
+  "cameras": {
+    "label": "Filter Kamera",
+    "all": {
+      "title": "Sve Kamere",
+      "short": "Kamere"
+    }
+  },
+  "review": {
+    "showReviewed": "Prikaži Pregledano"
+  },
+  "motion": {
+    "showMotionOnly": "Prikaži Jedino Pokrete"
+  },
+  "explore": {
+    "settings": {
+      "title": "Postavke",
+      "defaultView": {
+        "title": "Zadani Prikaz",
+        "summary": "Sažetak",
+        "unfilteredGrid": "Nefiltrirana mreža",
+        "desc": "Kada filteri nisu odabrani, prikazan je sažetak najnovijih objekata po oznaci, ili je prikazana nefiltrirana mreža."
+      },
+      "gridColumns": {
+        "title": "Stupci Mreže",
+        "desc": "Odaberi broj stupaca u mrežnom prikazu."
+      },
+      "searchSource": {
+        "label": "Traži Izvor",
+        "desc": "Odaberi želiš li tražiti sličice ili opise tvojih praćenih objekata.",
+        "options": {
+          "thumbnailImage": "Sličica",
+          "description": "Opis"
+        }
+      }
+    },
+    "date": {
+      "selectDateBy": {
+        "label": "Odaberi datum za filtriranje"
+      }
+    }
+  },
+  "logSettings": {
+    "label": "Filtriraj stupanj zapisnika",
+    "filterBySeverity": "Filtriraj zapisnike po ozbiljnosti",
+    "loading": {
+      "title": "Učitavanje",
+      "desc": "Kada je prozor zapisnika listan do dna, novi zapisi se prikazuju automatski nakon stvaranja."
+    },
+    "disableLogStreaming": "Onemogući prijenos zapisa uživo",
+    "allLogs": "Svi zapisi"
+  },
+  "trackedObjectDelete": {
+    "title": "Potvrdi Brisanje",
+    "desc": "Brisanjem ovih praćenih objekata ({{objectLength}}) uklanja se snimak, svi spremljeni ugradbeni elementi i svi povezani unosi životnog ciklusa objekta. Snimljeni materijali ovih praćenih objekata u prikazu povijesti <em>NEĆE</em> biti izbrisani.<br /><br />Jeste li sigurni da želite nastaviti?<br /><br />Držite tipku <em>Shift</em> da biste u budućnosti zaobišli ovaj dijalog.",
+    "toast": {
+      "success": "Praćeni objekti su uspješno izbrisani.",
+      "error": "Neuspješno brisanje praćenih objekata: {{errorMessage}}"
+    }
+  },
+  "zoneMask": {
+    "filterBy": "Filtritaj prema maski zone"
+  },
+  "recognizedLicensePlates": {
+    "title": "Prepoznate Registracijske Oznake",
+    "loadFailed": "Neuspješno učitavanje prepoznatih registracijskih oznaka.",
+    "loading": "Učitavanje prepoznatih registracijskih oznaka…",
+    "placeholder": "Upiši za traženje registracijskih oznaka…",
+    "noLicensePlatesFound": "Registracijske oznake nisu nađene.",
+    "selectPlatesFromList": "Odaberi jednu ili više registracijskih oznaka iz liste.",
+    "selectAll": "Odaberi sve",
+    "clearAll": "Očisti sve"
   }
 }
diff --git a/web/public/locales/hr/components/icons.json b/web/public/locales/hr/components/icons.json
index b973f1072..f6c0fa5d5 100644
--- a/web/public/locales/hr/components/icons.json
+++ b/web/public/locales/hr/components/icons.json
@@ -1,5 +1,8 @@
 {
   "iconPicker": {
-    "selectIcon": "Odaberite ikonu"
+    "selectIcon": "Odaberite ikonu",
+    "search": {
+      "placeholder": "Traži ikonu…"
+    }
   }
 }
diff --git a/web/public/locales/hr/components/input.json b/web/public/locales/hr/components/input.json
index ffeca81c5..0df384bea 100644
--- a/web/public/locales/hr/components/input.json
+++ b/web/public/locales/hr/components/input.json
@@ -1,7 +1,10 @@
 {
   "button": {
     "downloadVideo": {
-      "label": "Preuzmi video"
+      "label": "Preuzmi video",
+      "toast": {
+        "success": "Preuzimanje vašeg videa za recenziju je počelo."
+      }
     }
   }
 }
diff --git a/web/public/locales/hr/components/player.json b/web/public/locales/hr/components/player.json
index 752b358dc..67a1d91a0 100644
--- a/web/public/locales/hr/components/player.json
+++ b/web/public/locales/hr/components/player.json
@@ -1,3 +1,51 @@
 {
-  "noRecordingsFoundForThisTime": "Nisu pronađene snimke za ovo vrijeme"
+  "noRecordingsFoundForThisTime": "Nisu pronađene snimke za ovo vrijeme",
+  "submitFrigatePlus": {
+    "title": "Pošalji ovaj kadar u Frigate+?",
+    "submit": "Pošalji"
+  },
+  "cameraDisabled": "Kamera je onemogućena",
+  "stats": {
+    "streamType": {
+      "short": "Vrsta",
+      "title": "Tip Streama:"
+    },
+    "latency": {
+      "value": "{{seconds}} sekundi",
+      "short": {
+        "value": "{{seconds}} sekundi",
+        "title": "Kašnjenje"
+      },
+      "title": "Kašnjenje:"
+    },
+    "bandwidth": {
+      "title": "Mrežna propusnost:",
+      "short": "Mrežna propusnost"
+    },
+    "totalFrames": "Ukupni broj kadrova (slika):",
+    "droppedFrames": {
+      "title": "Izgubljeni kadrovi:",
+      "short": {
+        "title": "Izgubljeno",
+        "value": "{{droppedFrames}} kadrova"
+      }
+    },
+    "decodedFrames": "Dekodirani kadrovi:",
+    "droppedFrameRate": "Stopa izgubljenih kadrova:"
+  },
+  "noPreviewFound": "Nije nađen pretpregled",
+  "noPreviewFoundFor": "Pretpregled nije nađen za {{cameraName}}",
+  "livePlayerRequiredIOSVersion": "iOS 17.1 ili noviji je potreban za ovu vrstu uživog prijenosa.",
+  "streamOffline": {
+    "title": "Stream nije dostupan",
+    "desc": "Slike nisu primljene sa {{cameraName}} <code>detect</code> stream-a, provjeri logove"
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Kadar je uspješno poslan u Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Neuspješno slanje kadra u Frigate+"
+    }
+  }
 }
diff --git a/web/public/locales/hr/objects.json b/web/public/locales/hr/objects.json
index afc133807..955ebe0cd 100644
--- a/web/public/locales/hr/objects.json
+++ b/web/public/locales/hr/objects.json
@@ -1,3 +1,120 @@
 {
-  "person": "Osoba"
+  "person": "Osoba",
+  "bicycle": "Bicikl",
+  "car": "Automobil",
+  "motorcycle": "Motocikl",
+  "airplane": "Zrakoplov",
+  "bus": "Autobus",
+  "train": "Vlak",
+  "boat": "ÄŒamac",
+  "traffic_light": "Semafor",
+  "fire_hydrant": "Hidrant",
+  "street_sign": "Prometni znak",
+  "stop_sign": "Znak stop",
+  "bench": "Klupa",
+  "bird": "Ptica",
+  "cat": "Mačka",
+  "dog": "Pas",
+  "horse": "Konj",
+  "sheep": "Ovca",
+  "cow": "Krava",
+  "parking_meter": "Parkirni Automat",
+  "elephant": "Slon",
+  "bear": "Medvjed",
+  "zebra": "Zebra",
+  "giraffe": "Žirafa",
+  "hat": "Kapa",
+  "backpack": "Ruksak",
+  "umbrella": "Kišobran",
+  "shoe": "Cipela",
+  "eye_glasses": "Naočale",
+  "handbag": "Ručna torba",
+  "tie": "Kravata",
+  "suitcase": "Kovčeg",
+  "frisbee": "Frizbi",
+  "skis": "Skije",
+  "snowboard": "Snowboard",
+  "sports_ball": "Sportska Lopta",
+  "kite": "Zmaj",
+  "baseball_bat": "Baseball Palica",
+  "baseball_glove": "Baseball Rukavica",
+  "skateboard": "Skejtboard",
+  "surfboard": "Daska za surfanje",
+  "tennis_racket": "Teniski reket",
+  "bottle": "Boca",
+  "plate": "Tanjur",
+  "wine_glass": "Vinska Čaša",
+  "cup": "Šalica",
+  "fork": "Vilica",
+  "knife": "Nož",
+  "spoon": "Žlica",
+  "bowl": "Zdjela",
+  "banana": "Banana",
+  "apple": "Jabuka",
+  "sandwich": "Sendvič",
+  "orange": "Naranča",
+  "broccoli": "Brokula",
+  "carrot": "Mrkva",
+  "hot_dog": "Hot Dog",
+  "pizza": "Pizza",
+  "donut": "Krafna",
+  "cake": "Torta",
+  "chair": "Stolica",
+  "couch": "Kauč",
+  "potted_plant": "Biljka u Loncu",
+  "bed": "Krevet",
+  "mirror": "Ogledalo",
+  "dining_table": "Blagovaonski Stol",
+  "window": "Prozor",
+  "desk": "Radni Stol",
+  "toilet": "WC",
+  "door": "Vrata",
+  "tv": "TV",
+  "laptop": "Laptop",
+  "mouse": "Miš",
+  "remote": "Daljinski",
+  "keyboard": "Tipkovnica",
+  "cell_phone": "Mobilni Telefon",
+  "microwave": "Mikrovalna",
+  "oven": "Pećnica",
+  "toaster": "Toster",
+  "sink": "Sudoper",
+  "refrigerator": "Frižider",
+  "blender": "Blender",
+  "book": "Knjiga",
+  "clock": "Sat",
+  "vase": "Vaza",
+  "scissors": "Škare",
+  "teddy_bear": "Plišani Medo",
+  "hair_dryer": "Fen",
+  "toothbrush": "Četkica za zube",
+  "hair_brush": "Četka za kosu",
+  "vehicle": "Vozilo",
+  "squirrel": "Vjeverica",
+  "deer": "Jelen",
+  "animal": "Životinja",
+  "bark": "Kora",
+  "fox": "Lisica",
+  "goat": "Koza",
+  "rabbit": "Zec",
+  "raccoon": "Rakun",
+  "robot_lawnmower": "Robotska Kosilica",
+  "waste_bin": "Kanta za smeće",
+  "on_demand": "Na Zahtjev",
+  "face": "Lice",
+  "license_plate": "Registracijska oznaka",
+  "package": "Paket",
+  "bbq_grill": "Roštilj",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "purolator": "Purolator",
+  "postnl": "PostNL",
+  "nzpost": "NZPost",
+  "postnord": "PostNord",
+  "gls": "GLS",
+  "dpd": "DPD"
 }
diff --git a/web/public/locales/hr/views/classificationModel.json b/web/public/locales/hr/views/classificationModel.json
new file mode 100644
index 000000000..a588d5607
--- /dev/null
+++ b/web/public/locales/hr/views/classificationModel.json
@@ -0,0 +1,72 @@
+{
+  "documentTitle": "Klasifikacijski modeli - Frigate",
+  "button": {
+    "deleteImages": "Obriši slike",
+    "trainModel": "Treniraj model",
+    "addClassification": "Dodaj klasifikaciju",
+    "deleteModels": "Obriši modele",
+    "editModel": "Uredi model",
+    "deleteClassificationAttempts": "Izbriši Klasifikacijske Slike",
+    "renameCategory": "Preimenuj klasu",
+    "deleteCategory": "Izbriši Klasu"
+  },
+  "tooltip": {
+    "trainingInProgress": "Model se trenutno trenira",
+    "modelNotReady": "Model nije spreman za treniranje",
+    "noNewImages": "Nema novih slika za treniranje. Prvo klasificirajte više slika u skupu podataka.",
+    "noChanges": "Nema promjena u skupu podataka od posljednjeg treniranja."
+  },
+  "details": {
+    "unknown": "Nepoznato",
+    "none": "Nijedan",
+    "scoreInfo": "Rezultat predstavlja prosječnu klasifikacijsku pouzdanost kroz sve detekcije ovog objekta."
+  },
+  "toast": {
+    "success": {
+      "deletedImage": "Obrisane slike",
+      "deletedCategory": "Izbrisana Klasa",
+      "deletedModel_one": "Uspješno izbrisan {{count}} model",
+      "deletedModel_few": "Uspješno izbrisana {{count}} modela",
+      "deletedModel_other": "Uspješno izbrisano {{count}} modela",
+      "categorizedImage": "Uspješno klasificirana slika",
+      "trainedModel": "Uspješno treniran model.",
+      "trainingModel": "Uspješno započeto treniranje modela.",
+      "updatedModel": "Uspješno ažurirana konfiguracija modela",
+      "renamedCategory": "Uspješno preimenovana klasa na {{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "Neuspješno brisanje: {{errorMessage}}",
+      "deleteCategoryFailed": "Neuspješno brisanje klase: {{errorMessage}}",
+      "deleteModelFailed": "Nije uspjelo brisanje modela: {{errorMessage}}",
+      "categorizeFailed": "Nije uspjelo kategoriziranje slike: {{errorMessage}}"
+    }
+  },
+  "description": {
+    "invalidName": "Nevaljano ime. Ime može samo uključivati slova, brojeve, razmake, navodnike, podcrte i crtice."
+  },
+  "train": {
+    "titleShort": "Nedavno"
+  },
+  "deleteModel": {
+    "desc_one": "Jeste li sigurni da želite izbrisati {{count}} model? Ovo će trajno izbrisati sve povezane podatke, uključujući slike i podatke za treniranje. Ova radnja se ne može poništiti.",
+    "desc_few": "Jeste li sigurni da želite izbrisati {{count}} modela? Ovo će trajno izbrisati sve povezane podatke, uključujući slike i podatke za treniranje. Ova radnja se ne može poništiti.",
+    "desc_other": "Jeste li sigurni da želite izbrisati {{count}} modela? Ovo će trajno izbrisati sve povezane podatke, uključujući slike i podatke za treniranje. Ova radnja se ne može poništiti."
+  },
+  "deleteDatasetImages": {
+    "desc_one": "Jeste li sigurni da želite izbrisati {{count}} sliku iz {{dataset}}? Ova radnja se ne može poništiti i zahtijevat će ponovno treniranje modela.",
+    "desc_few": "Jeste li sigurni da želite izbrisati {{count}} slike iz {{dataset}}? Ova radnja se ne može poništiti i zahtijevat će ponovno treniranje modela.",
+    "desc_other": "Jeste li sigurni da želite izbrisati {{count}} slika iz {{dataset}}? Ova radnja se ne može poništiti i zahtijevat će ponovno treniranje modela."
+  },
+  "deleteTrainImages": {
+    "desc_one": "Jeste li sigurni da želite izbrisati {{count}} sliku? Ova radnja se ne može poništiti.",
+    "desc_few": "Jeste li sigurni da želite izbrisati {{count}} slike? Ova radnja se ne može poništiti.",
+    "desc_other": "Jeste li sigurni da želite izbrisati {{count}} slika? Ova radnja se ne može poništiti."
+  },
+  "wizard": {
+    "step3": {
+      "allImagesRequired_one": "Molimo klasificirajte sve slike. Preostala je {{count}} slika.",
+      "allImagesRequired_few": "Molimo klasificirajte sve slike. Preostale su {{count}} slike.",
+      "allImagesRequired_other": "Molimo klasificirajte sve slike. Preostalo je {{count}} slika."
+    }
+  }
+}
diff --git a/web/public/locales/hr/views/configEditor.json b/web/public/locales/hr/views/configEditor.json
index 6443eaa83..1a5f2d23e 100644
--- a/web/public/locales/hr/views/configEditor.json
+++ b/web/public/locales/hr/views/configEditor.json
@@ -1,3 +1,18 @@
 {
-  "documentTitle": "Uređivač konfiguracije - Frigate"
+  "documentTitle": "Uređivač konfiguracije - Frigate",
+  "copyConfig": "Kopiraj konfiguraciju",
+  "saveAndRestart": "Spremi i pokreni ponovno",
+  "saveOnly": "Samo spremi",
+  "confirm": "Izađi bez spremanja?",
+  "toast": {
+    "error": {
+      "savingError": "Greška pri spremanju konfiguracije"
+    },
+    "success": {
+      "copyToClipboard": "Konfiguracija je kopirana u međuspremnik."
+    }
+  },
+  "configEditor": "Uređivač konfiguracije",
+  "safeModeDescription": "Frigate je u sigurnom načinu zbog greške u validaciji konfiguracije.",
+  "safeConfigEditor": "Uređivač konfiguracije (Siguran Način)"
 }
diff --git a/web/public/locales/hr/views/events.json b/web/public/locales/hr/views/events.json
index b38704712..3bafeee22 100644
--- a/web/public/locales/hr/views/events.json
+++ b/web/public/locales/hr/views/events.json
@@ -1,3 +1,65 @@
 {
-  "alerts": "Upozorenja"
+  "alerts": "Upozorenja",
+  "detections": "Detekcije",
+  "motion": {
+    "label": "Kretnja",
+    "only": "Samo kretnje"
+  },
+  "allCameras": "Sve kamere",
+  "empty": {
+    "alert": "Nema uzbuna za pregledati",
+    "detection": "Nema detekcija za pregled",
+    "motion": "Nema podataka o pokretu",
+    "recordingsDisabled": {
+      "title": "Snimanja moraju biti uključena",
+      "description": "Stavke za pregled mogu biti stvorene za kameru jedino kada su snimanja uključena za tu kameru."
+    }
+  },
+  "timeline": "Vremenska linija",
+  "timeline.aria": "Odaberi vremensku liniju",
+  "zoomOut": "Udalji",
+  "events": {
+    "label": "Događaji",
+    "aria": "Odaberi događaje",
+    "noFoundForTimePeriod": "Nema pronađenih događaja za ovaj vremenski period."
+  },
+  "zoomIn": "Približi",
+  "detail": {
+    "label": "Detalji",
+    "noDataFound": "Nema detaljnih podataka za pregled",
+    "aria": "Uključi/isključi prikaz detalja",
+    "trackedObject_one": "{{count}} objekt",
+    "trackedObject_other": "{{count}} objekta",
+    "noObjectDetailData": "Nema dostupnih detaljnih podataka o objektu.",
+    "settings": "Postavke detaljnog prikaza",
+    "alwaysExpandActive": {
+      "title": "Uvijek proširi aktivno",
+      "desc": "Uvijek proširite detalje objekta aktivnog pregledanog stavka kada su dostupni."
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Praćena točka",
+    "clickToSeek": "Kliknite za pomicanje na ovo vrijeme"
+  },
+  "documentTitle": "Pregled - Frigate",
+  "recordings": {
+    "documentTitle": "Snimke - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Zadnja 24 sata"
+  },
+  "markAsReviewed": "Označi kao Pregledano",
+  "markTheseItemsAsReviewed": "Označi ove stavke kao pregledane",
+  "newReviewItems": {
+    "label": "Pogledaj nove stavke za pregled",
+    "button": "Nove stavke za pregled"
+  },
+  "selected_one": "{{count}} odabran",
+  "selected_other": "{{count}} odabrano",
+  "select_all": "Sve",
+  "camera": "Kamera",
+  "detected": "detektirano",
+  "normalActivity": "Normalno",
+  "needsReview": "Potreban pregled",
+  "securityConcern": "Sigurnosna zabrinutost"
 }
diff --git a/web/public/locales/hr/views/explore.json b/web/public/locales/hr/views/explore.json
index c4f84e742..83a7412b0 100644
--- a/web/public/locales/hr/views/explore.json
+++ b/web/public/locales/hr/views/explore.json
@@ -1,3 +1,59 @@
 {
-  "documentTitle": "Istražite - Frigate"
+  "documentTitle": "Istražite - Frigate",
+  "generativeAI": "Generativni AI",
+  "exploreIsUnavailable": {
+    "title": "Istraživanje je nedostupno",
+    "embeddingsReindexing": {
+      "startingUp": "Pokretanje…",
+      "finishingShortly": "Završava uskoro",
+      "estimatedTime": "Procjenjeno preostalo vrijeme:",
+      "context": "Istraživanje se može koristiti nakon što je završeno ponovno indeksiranje ugrađivanja praćenih objekata.",
+      "step": {
+        "thumbnailsEmbedded": "Ugrađene sličice: ",
+        "descriptionsEmbedded": "Ugrađeni opisi: ",
+        "trackedObjectsProcessed": "Procesirani praćeni objekti: "
+      }
+    },
+    "downloadingModels": {
+      "setup": {
+        "textModel": "Tekstualni model",
+        "visionModel": "Model za vid",
+        "visionModelFeatureExtractor": "Ekstraktor značajki modela vizije",
+        "textTokenizer": "Tokenizator teksta"
+      },
+      "context": "Frigate preuzima potrebne modele ugrađivanja (embeddings) kako bi podržao značajku semantičkog pretraživanja. To može potrajati nekoliko minuta, ovisno o brzini vaše mrežne veze.",
+      "tips": {
+        "context": "Možda ćete htjeti ponovno indeksirati ugrađivanja (embeddings) svojih praćenih objekata kada se modeli preuzmu."
+      },
+      "error": "Došlo je do pogreške. Provjerite Frigate logove."
+    }
+  },
+  "details": {
+    "timestamp": "Vremenska oznaka",
+    "item": {
+      "tips": {
+        "mismatch_one": "{{count}} nedostupan objekt je otkriven i uključen u ovaj pregledni stavak. Ti objekti ili nisu kvalificirani kao upozorenje ili detekcija, ili su već uklonjeni/izbrisani.",
+        "mismatch_few": "{{count}} nedostupna objekta su otkrivena i uključena u ovaj pregledni stavak. Ti objekti ili nisu kvalificirani kao upozorenje ili detekcija, ili su već uklonjeni/izbrisani.",
+        "mismatch_other": "{{count}} nedostupnih objekata je otkriveno i uključeno u ovaj pregledni stavak. Ti objekti ili nisu kvalificirani kao upozorenje ili detekcija, ili su već uklonjeni/izbrisani."
+      }
+    }
+  },
+  "trackedObjectDetails": "Detalji praćenog objekta",
+  "type": {
+    "details": "detalji",
+    "snapshot": "snimka",
+    "thumbnail": "Sličica",
+    "video": "video",
+    "tracking_details": "detalji praćenja"
+  },
+  "exploreMore": "Istraži više {{label}} objekata",
+  "trackingDetails": {
+    "title": "Detalji Praćenja",
+    "noImageFound": "Slika nije nađena za ovaj vremenski zapis.",
+    "createObjectMask": "Napravi Masku Objekta",
+    "adjustAnnotationSettings": "Podesi postavke anotacije"
+  },
+  "trackedObjectsCount_one": "{{count}} praćeni objekt ",
+  "trackedObjectsCount_few": "{{count}} praćena objekta ",
+  "trackedObjectsCount_other": "{{count}} praćenih objekata "
 }
diff --git a/web/public/locales/hr/views/exports.json b/web/public/locales/hr/views/exports.json
index 529e7c42e..0762ed6c7 100644
--- a/web/public/locales/hr/views/exports.json
+++ b/web/public/locales/hr/views/exports.json
@@ -1,4 +1,23 @@
 {
   "documentTitle": "Izvoz - Frigate",
-  "search": "Pretraga"
+  "search": "Pretraga",
+  "deleteExport.desc": "Da li si siguran da želiš obrisati {{exportName}}?",
+  "editExport": {
+    "saveExport": "Spremi izvoz",
+    "title": "Preimenuj izvoz",
+    "desc": "Unesite novo ime ovog izvoza."
+  },
+  "tooltip": {
+    "shareExport": "Podijeli izvoz",
+    "downloadVideo": "Preuzmi video",
+    "editName": "Uredi ime",
+    "deleteExport": "Obriši izvoz"
+  },
+  "noExports": "Izvozi nisu pronađeni",
+  "deleteExport": "Obriši izvoz",
+  "toast": {
+    "error": {
+      "renameExportFailed": "Neuspjeh preimenovanja izvoza: {{errorMessage}}"
+    }
+  }
 }
diff --git a/web/public/locales/hr/views/faceLibrary.json b/web/public/locales/hr/views/faceLibrary.json
index 242c150b1..29883ae67 100644
--- a/web/public/locales/hr/views/faceLibrary.json
+++ b/web/public/locales/hr/views/faceLibrary.json
@@ -1,5 +1,93 @@
 {
   "description": {
-    "addFace": "Vodič za dodavanje nove kolekcije u Biblioteku lica."
-  }
+    "addFace": "Dodaj novu kolekcije u Biblioteku lica učitavanjem prve slike.",
+    "placeholder": "Unesi ime za ovu kolekciju",
+    "invalidName": "Nevaljano ime. Ime može samo uključivati slova, brojeve, razmake, navodnike, podcrte i crtice."
+  },
+  "steps": {
+    "faceName": "Unesi Ime Lica",
+    "uploadFace": "Prenesi Sliku Lica",
+    "nextSteps": "Sljedeći Koraci",
+    "description": {
+      "uploadFace": "Prenesite sliku {{name}} koja prikazuje njezino lice iz prednjeg kuta. Slika ne mora biti obrezana samo na njezino lice."
+    }
+  },
+  "train": {
+    "title": "Nedavna Prepoznavanja",
+    "aria": "Odaberite nedavna prepoznavanja",
+    "empty": "Nema nedavnih pokušaja prepoznavanja lica",
+    "titleShort": "Nedavno"
+  },
+  "deleteFaceLibrary": {
+    "title": "Izbriši Ime",
+    "desc": "Jeste li sigurni da želite izbrisati kolekciju {{name}}? Ovim će se trajno izbrisati sva povezana lica."
+  },
+  "deleteFaceAttempts": {
+    "title": "Izbriši Lica",
+    "desc_one": "Jeste li sigurni da želite izbrisati {{count}} lice? Ova se radnja ne može poništiti.",
+    "desc_few": "Jeste li sigurni da želite izbrisati {{count}} lica? Ova se radnja ne može poništiti.",
+    "desc_other": "Jeste li sigurni da želite izbrisati {{count}} lica? Ova se radnja ne može poništiti."
+  },
+  "details": {
+    "timestamp": "Vremenska oznaka",
+    "unknown": "Nepoznato",
+    "scoreInfo": "Rezultat je ponderirani prosjek svih rezultata lica, pri čemu su ponderi određeni veličinom lica na svakoj slici."
+  },
+  "documentTitle": "Biblioteka lica - Frigate",
+  "uploadFaceImage": {
+    "title": "Učitaj sliku lica",
+    "desc": "Učitaj sliku za skeniranje lica i uključi za {{pageToggle}}"
+  },
+  "collections": "Kolekcije",
+  "createFaceLibrary": {
+    "new": "Stvori novo lice",
+    "nextSteps": "Kako biste izgradili čvrste temelje:<li>Koristite karticu Nedavna prepoznavanja za odabir i treniranje na slikama za svaku detektiranu osobu.</li> <li>Usredotočite se na slike snimljene direktno ispred lica za najbolje rezultate; izbjegavajte slike za treniranje koje prikazuju lica pod kutom.</li> </ul>"
+  },
+  "renameFace": {
+    "title": "Preimenuj Lice",
+    "desc": "Unesi novo ime za {{name}}"
+  },
+  "toast": {
+    "success": {
+      "deletedFace_one": "Uspješno izbrisano {{count}} lice.",
+      "deletedFace_few": "Uspješno izbrisana {{count}} lica.",
+      "deletedFace_other": "Uspješno izbrisano {{count}} lica.",
+      "deletedName_one": "{{count}} lice je uspješno izbrisano.",
+      "deletedName_few": "{{count}} lica su uspješno izbrisana.",
+      "deletedName_other": "{{count}} lica je uspješno izbrisano.",
+      "uploadedImage": "Uspješno učitana slika.",
+      "addFaceLibrary": "{{name}} je uspješno dodano u Biblioteku Lica!",
+      "renamedFace": "Uspješno preimenovano lice na {{name}}",
+      "trainedFace": "Uspješno trenirano lice.",
+      "updatedFaceScore": "Uspješno ažurirana ocjena lica na {{name}} ({{score}})."
+    },
+    "error": {
+      "uploadingImageFailed": "Neuspješno učitavanje slike: {{errorMessage}}",
+      "addFaceLibraryFailed": "Neuspješno postavljanje imena lica: {{errorMessage}}",
+      "deleteFaceFailed": "Neuspješno brisanje: {{errorMessage}}",
+      "deleteNameFailed": "Neuspješno brisanje imena: {{errorMessage}}",
+      "renameFaceFailed": "Neuspješno preimenovanje lica: {{errorMessage}}",
+      "trainFailed": "Neuspješno treniranje: {{errorMessage}}",
+      "updateFaceScoreFailed": "Neuspješno ažuriranje ocjene lica: {{errorMessage}}"
+    }
+  },
+  "button": {
+    "deleteFaceAttempts": "Izbriši Lica",
+    "addFace": "Dodaj Lice",
+    "renameFace": "Preimenuj Lice",
+    "deleteFace": "Izbriši Lice",
+    "uploadImage": "Učitaj Sliku",
+    "reprocessFace": "Ponovno Procesiraj Lice"
+  },
+  "imageEntry": {
+    "validation": {
+      "selectImage": "Molim izaberi datoteku slike."
+    },
+    "dropActive": "Ispusti sliku ovdje…",
+    "dropInstructions": "Povuci i ispusti ili zalijepi sliku ovdje, ili odaberi klikom",
+    "maxSize": "Max veličina: {{size}}MB"
+  },
+  "nofaces": "Nema dostupnih lica",
+  "trainFaceAs": "Treniraj lice kao:",
+  "trainFace": "Treniraj Lice"
 }
diff --git a/web/public/locales/hr/views/live.json b/web/public/locales/hr/views/live.json
index 93f59972a..82c150edb 100644
--- a/web/public/locales/hr/views/live.json
+++ b/web/public/locales/hr/views/live.json
@@ -1,3 +1,101 @@
 {
-  "documentTitle": "Uživo - Frigate"
+  "documentTitle": "Uživo - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Uživo - Frigate",
+  "twoWayTalk": {
+    "enable": "Omogući dvosmjerni razgovor",
+    "disable": "Onemogući dvosmjerni razgovor"
+  },
+  "cameraAudio": {
+    "enable": "Omogući zvuk kamere",
+    "disable": "Onemogući zvuk kamere"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "Klikni unutar kadra da centriraš kameru",
+        "enable": "Omogući pomicanje klikom",
+        "disable": "Onemogući pomicanje klikom"
+      },
+      "left": {
+        "label": "Pomakni PTZ kameru u lijevo"
+      },
+      "up": {
+        "label": "Pomakni PTZ kameru gore"
+      },
+      "down": {
+        "label": "Pomakni PTZ kameru dolje"
+      },
+      "right": {
+        "label": "Pomakni PTZ kameru u desno"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "Približi PTZ kameru"
+      },
+      "out": {
+        "label": "Udalji PTZ kameru"
+      }
+    },
+    "focus": {
+      "in": {
+        "label": "Izoštri fokus PTZ kamere"
+      },
+      "out": {
+        "label": "Fokusirajte PTZ kameru prema van"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "Kliknite unutar kadra da centrirate PTZ kameru"
+      }
+    },
+    "presets": "Unaprijed postavljene pozicije PTZ kamere"
+  },
+  "lowBandwidthMode": "Način niskog bandwidtha",
+  "camera": {
+    "enable": "Omogući Kameru",
+    "disable": "Onemogući Kameru"
+  },
+  "muteCameras": {
+    "enable": "Isključi zvuk svih kamera",
+    "disable": "Uključi zvuk svih kamera"
+  },
+  "detect": {
+    "enable": "Omogući Detekciju",
+    "disable": "Onemogući detekciju"
+  },
+  "recording": {
+    "enable": "Omogući Snimanje",
+    "disable": "Onemogući Snimanje"
+  },
+  "snapshots": {
+    "enable": "Omogući Snimke",
+    "disable": "Onemogući snimke slike"
+  },
+  "snapshot": {
+    "takeSnapshot": "Preuzmi instantnu snimku slike",
+    "noVideoSource": "Video izvor nije dostupan za snimku slike.",
+    "captureFailed": "Snimanje slike neuspješno.",
+    "downloadStarted": "Preuzimanje snimke slike započeto."
+  },
+  "audioDetect": {
+    "enable": "Omogući Zvučnu Detekciju",
+    "disable": "Onemogući Zvučnu Detekciju"
+  },
+  "transcription": {
+    "enable": "Omogući Transkripciju Zvuka Uživo",
+    "disable": "Onemogući Transkripciju Zvuka Uživo"
+  },
+  "autotracking": {
+    "enable": "Omogući Automatsko Praćenje",
+    "disable": "Onemogući Auto Praćenje"
+  },
+  "streamStats": {
+    "enable": "Prikaži statistike emitiranja",
+    "disable": "Sakrij statistike emitiranja"
+  },
+  "manualRecording": {
+    "title": "Na Zahtjev"
+  }
 }
diff --git a/web/public/locales/hr/views/recording.json b/web/public/locales/hr/views/recording.json
index a408537b3..8470b3e3d 100644
--- a/web/public/locales/hr/views/recording.json
+++ b/web/public/locales/hr/views/recording.json
@@ -1,4 +1,12 @@
 {
-  "filter": "Filtar",
-  "export": "Izvoz"
+  "filter": "Filter",
+  "export": "Izvoz",
+  "calendar": "Kalendar",
+  "filters": "Filteri",
+  "toast": {
+    "error": {
+      "endTimeMustAfterStartTime": "Vrijeme završetka mora biti nakon vremena početka",
+      "noValidTimeSelected": "Nije izabran ispravan vremenski raspon"
+    }
+  }
 }
diff --git a/web/public/locales/hr/views/search.json b/web/public/locales/hr/views/search.json
index 370cb28b9..984c3f37a 100644
--- a/web/public/locales/hr/views/search.json
+++ b/web/public/locales/hr/views/search.json
@@ -1,3 +1,73 @@
 {
-  "search": "Pretraga"
+  "search": "Pretraga",
+  "savedSearches": "Spremljene pretrage",
+  "searchFor": "Pretraži {{inputValue}}",
+  "button": {
+    "clear": "Izbriši pretragu",
+    "save": "Spremi pretragu",
+    "delete": "Obriši spremljene pretrage",
+    "filterInformation": "Filtriraj informacije",
+    "filterActive": "Filteri aktivni"
+  },
+  "filter": {
+    "label": {
+      "cameras": "Kamere",
+      "labels": "Oznake",
+      "zones": "Zone",
+      "search_type": "Pretraži vrstu",
+      "time_range": "Vremenski raspon",
+      "attributes": "Atributi",
+      "before": "Prije",
+      "after": "Poslije",
+      "min_score": "Min ocjena",
+      "sub_labels": "Podoznake",
+      "max_score": "Maksimalni rezultat",
+      "min_speed": "Minimalna Brzina",
+      "max_speed": "Maksimalna Brzina",
+      "recognized_license_plate": "Prepoznata Registarska Oznaka",
+      "has_clip": "Ima isječak",
+      "has_snapshot": "Ima Snimku"
+    },
+    "searchType": {
+      "thumbnail": "Sličica",
+      "description": "Opis"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "Datum 'prije' mora biti kasniji od datuma 'poslije'.",
+        "afterDatebeEarlierBefore": "Datum 'poslije' mora biti raniji od datuma 'prije'.",
+        "minScoreMustBeLessOrEqualMaxScore": "Vrijednost 'min_score' mora biti manja ili jednaka vrijednosti 'max_score'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "Vrijednost 'max_score' mora biti veća ili jednaka vrijednosti 'min_score'.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "Vrijednost 'min_speed' mora biti manja ili jednaka vrijednosti 'max_speed'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "Vrijednost 'max_speed' mora biti veća ili jednaka vrijednosti 'min_speed'."
+      }
+    },
+    "tips": {
+      "title": "Kako koristiti text filtere",
+      "desc": {
+        "text": "Filtri pomažu suziti rezultate pretraživanja. Evo kako ih koristiti u polju za unos:",
+        "step1": "Upišite naziv ključa filtra, a zatim dvotočku (npr. 'cameras:').",
+        "step2": "Odaberite vrijednost iz prijedloga ili unesite svoju.",
+        "step3": "Koristite više filtera tako da ih dodajete jedan za drugim s razmakom između.",
+        "step4": "Filteri po datumu (before: i after:) koriste format {{DateFormat}}.",
+        "step5": "Filter vremenskog raspona koristi format {{exampleTime}}.",
+        "step6": "Uklonite filtre klikom na 'x' pored njih.",
+        "exampleLabel": "Primjer:"
+      }
+    },
+    "header": {
+      "currentFilterType": "Vrijednosti Filtra",
+      "noFilters": "Filteri",
+      "activeFilters": "Aktivni Filteri"
+    }
+  },
+  "trackedObjectId": "ID Praćenog Objekta",
+  "similaritySearch": {
+    "title": "Pretraga po sličnosti",
+    "active": "Pretraživanje po sličnosti aktivno",
+    "clear": "Deaktiviraj pretraživanje po sličnosti"
+  },
+  "placeholder": {
+    "search": "Pretraži…"
+  }
 }
diff --git a/web/public/locales/hr/views/settings.json b/web/public/locales/hr/views/settings.json
index c2153a609..df374e02f 100644
--- a/web/public/locales/hr/views/settings.json
+++ b/web/public/locales/hr/views/settings.json
@@ -1,5 +1,71 @@
 {
   "documentTitle": {
-    "default": "Postavke - Frigate"
+    "default": "Postavke - Frigate",
+    "authentication": "Postavke autentikacije - Frigate",
+    "cameraManagement": "Upravljaj kamerama - Frigate",
+    "masksAndZones": "Uređivač maski i zona - Frigate",
+    "general": "Postavke sučelja - Frigate",
+    "frigatePlus": "Frigate+ postavke - Frigate",
+    "notifications": "Postavke notifikacija - Frigate",
+    "enrichments": "Postavke obogaćivanja - Frigate",
+    "cameraReview": "Postavke Pregleda Kamere - Frigate",
+    "motionTuner": "Uređivač pokreta - Frigate",
+    "object": "Debug - Frigate"
+  },
+  "menu": {
+    "ui": "Sučelje",
+    "cameraReview": "Pregled",
+    "enrichments": "Obogaćenja",
+    "masksAndZones": "Maske / Zone",
+    "triggers": "Okidači",
+    "users": "Korisnici",
+    "cameraManagement": "Upravljanje",
+    "motionTuner": "Podešavač pokreta",
+    "debug": "Debug",
+    "roles": "Uloga",
+    "notifications": "Obavijesti",
+    "frigateplus": "Frigate+"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Imaš nespremljene promjene.",
+      "desc": "Želiš li spremiti promjene prije nastavka?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Kamera",
+    "noCamera": "Nema Kamere"
+  },
+  "masksAndZones": {
+    "zones": {
+      "point_one": "{{count}} točka",
+      "point_few": "{{count}} točke",
+      "point_other": "{{count}} točaka"
+    },
+    "motionMasks": {
+      "point_one": "{{count}} točka",
+      "point_few": "{{count}} točke",
+      "point_other": "{{count}} točaka"
+    },
+    "objectMasks": {
+      "point_one": "{{count}} točka",
+      "point_few": "{{count}} točke",
+      "point_other": "{{count}} točaka"
+    }
+  },
+  "roles": {
+    "toast": {
+      "success": {
+        "userRolesUpdated_one": "{{count}} korisnik dodijeljen ovoj ulozi ažuriran je na 'gledatelj', koji ima pristup svim kamerama.",
+        "userRolesUpdated_few": "{{count}} korisnika dodijeljena ovoj ulozi ažurirana su na 'gledatelj', koji imaju pristup svim kamerama.",
+        "userRolesUpdated_other": "{{count}} korisnika dodijeljena ovoj ulozi ažurirana su na 'gledatelj', koji imaju pristup svim kamerama."
+      }
+    }
+  },
+  "general": {
+    "title": "Postavke Korisničkog Sučelja",
+    "liveDashboard": {
+      "title": "Uživo Nadzorna Ploča"
+    }
   }
 }
diff --git a/web/public/locales/hr/views/system.json b/web/public/locales/hr/views/system.json
index 076c823a0..0b4d07df8 100644
--- a/web/public/locales/hr/views/system.json
+++ b/web/public/locales/hr/views/system.json
@@ -1,5 +1,64 @@
 {
   "documentTitle": {
-    "cameras": "Statistika kamera - Frigate"
+    "cameras": "Statistika kamera - Frigate",
+    "general": "Generalne statistike - Frigate",
+    "logs": {
+      "go2rtc": "Go2RTC Zapisnici- Frigate",
+      "nginx": "Nginx Zapisnici - Frigate",
+      "frigate": "Frigate Zapisnici - Frigate"
+    },
+    "storage": "Statistika pohrane - Frigate",
+    "enrichments": "Statistika obogaćivanja - Frigate"
+  },
+  "title": "Sustav",
+  "logs": {
+    "download": {
+      "label": "Preuzmi Zapisnike"
+    },
+    "type": {
+      "label": "Tip",
+      "timestamp": "Vremenska oznaka",
+      "tag": "Oznaka",
+      "message": "Poruka"
+    },
+    "copy": {
+      "label": "Kopiraj u Međuspremnik",
+      "success": "Kopirani zapisnici u međuspremnik",
+      "error": "Nisam mogao kopirati zapisnike u međuspremnik"
+    },
+    "tips": "Zapisnici se prenose s poslužitelja",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "Greška dohvaćanja zapisnika: {{errorMessage}}",
+        "whileStreamingLogs": "Pogreška tijekom prijenosa zapisnika: {{errorMessage}}"
+      }
+    }
+  },
+  "metrics": "Metrike sustava",
+  "general": {
+    "title": "Općenito",
+    "detector": {
+      "title": "Detektori",
+      "inferenceSpeed": "Brzina izvođenja detektora",
+      "temperature": "Temperatura Detektora",
+      "cpuUsage": "Detektorova iskorištenost CPU-a",
+      "cpuUsageInformation": "CPU korišten za pripremu ulaznih i izlaznih podataka za modele detekcije. Ova vrijednost ne mjeri korištenje tijekom izvođenja modela, čak ni ako se koristi GPU ili akcelerator.",
+      "memoryUsage": "Detektorova Iskorištenost Memorije"
+    },
+    "hardwareInfo": {
+      "title": "Informacije o hardveru",
+      "gpuUsage": "Iskorištenost GPU-a",
+      "gpuMemory": "GPU Memorija",
+      "gpuEncoder": "GPU Enkoder",
+      "gpuDecoder": "GPU Dekoder",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Ispis Vainfo",
+          "returnCode": "Povratni kod: {{code}}",
+          "processOutput": "Ispis procesa:",
+          "processError": "Greška procesa:"
+        }
+      }
+    }
   }
 }
diff --git a/web/public/locales/hu/common.json b/web/public/locales/hu/common.json
index f75193fd1..99e0450c2 100644
--- a/web/public/locales/hu/common.json
+++ b/web/public/locales/hu/common.json
@@ -176,7 +176,7 @@
   },
   "role": {
     "viewer": "Néző",
-    "title": "Szerep",
+    "title": "Szerepkör",
     "admin": "Adminisztrátor",
     "desc": "Az adminisztrátoroknak teljes hozzáférése van az összes feature-höz. A nézők csak a kamerákat láthatják, áttekinthetik az elemeket és az előzményeket a UI-on."
   },
@@ -221,6 +221,14 @@
     "length": {
       "feet": "láb",
       "meters": "méter"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/óra",
+      "mbph": "MB/óra",
+      "gbph": "GB/óra"
     }
   },
   "button": {
@@ -263,5 +271,8 @@
   "label": {
     "back": "Vissza"
   },
-  "readTheDocumentation": "Olvassa el a dokumentációt"
+  "readTheDocumentation": "Olvassa el a dokumentációt",
+  "information": {
+    "pixels": "{{area}}px"
+  }
 }
diff --git a/web/public/locales/hu/components/auth.json b/web/public/locales/hu/components/auth.json
index 37dc3a2e4..43b8e9e17 100644
--- a/web/public/locales/hu/components/auth.json
+++ b/web/public/locales/hu/components/auth.json
@@ -10,6 +10,7 @@
       "unknownError": "Ismeretlen hiba. Ellenőrizze a naplókat.",
       "webUnknownError": "Ismeretlen hiba. Ellenőrizze a konzol naplókat.",
       "rateLimit": "Túl sokszor próbálkozott. Próbálja meg később."
-    }
+    },
+    "firstTimeLogin": "Először próbálsz bejelentkezni? A hitelesítési adatok a Frigate naplóiban vannak feltüntetve."
   }
 }
diff --git a/web/public/locales/hu/components/dialog.json b/web/public/locales/hu/components/dialog.json
index 8a6a452ed..c45eac1fc 100644
--- a/web/public/locales/hu/components/dialog.json
+++ b/web/public/locales/hu/components/dialog.json
@@ -4,7 +4,7 @@
     "button": "Újraindítás",
     "restarting": {
       "title": "A Frigate újraindul",
-      "content": "Az oldal újrtölt {{countdown}} másodperc múlva.",
+      "content": "Az oldal újratölt {{countdown}} másodperc múlva.",
       "button": "Erőltetett újraindítás azonnal"
     }
   },
@@ -107,7 +107,8 @@
     "button": {
       "markAsReviewed": "Megjelölés áttekintettként",
       "deleteNow": "Törlés Most",
-      "export": "Exportálás"
+      "export": "Exportálás",
+      "markAsUnreviewed": "Megjelölés nem ellenőrzöttként"
     }
   },
   "imagePicker": {
diff --git a/web/public/locales/hu/views/classificationModel.json b/web/public/locales/hu/views/classificationModel.json
new file mode 100644
index 000000000..75ef202c6
--- /dev/null
+++ b/web/public/locales/hu/views/classificationModel.json
@@ -0,0 +1,47 @@
+{
+  "documentTitle": "Osztályozási modellek - Frigate",
+  "button": {
+    "deleteClassificationAttempts": "Osztályozási képek törlése",
+    "deleteImages": "Képek törlése",
+    "trainModel": "Modell betanítása",
+    "deleteModels": "Modellek törlése",
+    "editModel": "Modell szerkesztése",
+    "renameCategory": "Osztály átnevezése",
+    "deleteCategory": "Osztály törlése",
+    "addClassification": "Osztályozás hozzáadása"
+  },
+  "toast": {
+    "success": {
+      "deletedImage": "Törölt képek",
+      "deletedModel_one": "Sikeresen törölt {{count}} modellt",
+      "deletedModel_other": "",
+      "categorizedImage": "A kép sikeresen osztályozva",
+      "deletedCategory": "Osztály törlése"
+    },
+    "error": {
+      "deleteImageFailed": "Törlés sikertelen: {{errorMessage}}"
+    }
+  },
+  "details": {
+    "none": "Nincs",
+    "unknown": "Ismeretlen",
+    "scoreInfo": "A pontszám az objektum összes észlelésében mért átlagos osztályozási megbízhatóságot jelöli."
+  },
+  "edit": {
+    "title": "Osztályozási modell szerkesztése"
+  },
+  "wizard": {
+    "step1": {
+      "name": "Név"
+    },
+    "step2": {
+      "cameras": "Kamerák"
+    }
+  },
+  "tooltip": {
+    "trainingInProgress": "A modell betanítás alatt van",
+    "noNewImages": "Nincsenek új képek a betanításhoz. Először osztályozzon több képet az adathalmazban.",
+    "noChanges": "Az adathalmazban nem történt változás az utolsó betanítás óta.",
+    "modelNotReady": "A modell nem áll készen a betanításra"
+  }
+}
diff --git a/web/public/locales/hu/views/events.json b/web/public/locales/hu/views/events.json
index d470abbd5..313d8e553 100644
--- a/web/public/locales/hu/views/events.json
+++ b/web/public/locales/hu/views/events.json
@@ -36,5 +36,7 @@
   "selected_one": "{{count}} kiválasztva",
   "selected_other": "{{count}} kiválasztva",
   "suspiciousActivity": "Gyanús Tevékenység",
-  "threateningActivity": "Fenyegető Tevékenység"
+  "threateningActivity": "Fenyegető Tevékenység",
+  "zoomIn": "Nagyítás",
+  "zoomOut": "Kicsinyítés"
 }
diff --git a/web/public/locales/hu/views/exports.json b/web/public/locales/hu/views/exports.json
index f54c70923..ab07aba94 100644
--- a/web/public/locales/hu/views/exports.json
+++ b/web/public/locales/hu/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "Sikertelen export átnevezés: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "downloadVideo": "Videó letöltése",
+    "editName": "Név szerkesztése",
+    "deleteExport": "Export törlése",
+    "shareExport": "Export megosztása"
   }
 }
diff --git a/web/public/locales/hu/views/faceLibrary.json b/web/public/locales/hu/views/faceLibrary.json
index 7b12521d5..c7fb67547 100644
--- a/web/public/locales/hu/views/faceLibrary.json
+++ b/web/public/locales/hu/views/faceLibrary.json
@@ -42,12 +42,12 @@
     "title": "Gyűjtemény létrehozása",
     "desc": "Új gyűjtemény létrehozása",
     "new": "Új arc létrhozása",
-    "nextSteps": "A jó alap készítéséhez:<li>Használja a Tanítás fület az egyes észlelt személyekhez tartozó képek kiválasztására és betanítására.</li>A legjobb eredmény érdekében válassza az egyenesen előre néző arcokat ábrázoló képeket és kerülje a ferde szögből készült arcképeket a tanításhoz.</li></ul>"
+    "nextSteps": "A jó alap készítéséhez:<li>Használja a Legutóbbi felismerések fület az egyes észlelt személyekhez tartozó képek kiválasztásához és betanításához.</li>A legjobb eredmény érdekében válassza az egyenesen előre néző arcokat ábrázoló képeket és kerülje a ferde szögből készült arcképeket a tanításhoz.</li></ul>"
   },
   "description": {
     "placeholder": "Adj nevet ennek a gyűjteménynek",
     "invalidName": "Nem megfelelő név. A nevek csak betűket, számokat, szóközöket, aposztrófokat, alulhúzásokat és kötőjeleket tartalmazhatnak.",
-    "addFace": "Segédlet új gyűjtemény hozzáadásához az arckép könyvtárban."
+    "addFace": "Adj hozzá egy új gyűjteményt az Arcképtárhoz az első képed feltöltésével."
   },
   "selectFace": "Arc kiválasztása",
   "deleteFaceLibrary": {
@@ -90,7 +90,7 @@
   "nofaces": "Nincs elérhető arc",
   "documentTitle": "Arc könyvtár - Frigate",
   "train": {
-    "title": "Tanít",
+    "title": "Friss felismerések",
     "empty": "Nincs friss arcfelismerés",
     "aria": "Válassza ki a tanítást"
   },
diff --git a/web/public/locales/hu/views/live.json b/web/public/locales/hu/views/live.json
index 04f0836f0..b7a5ff967 100644
--- a/web/public/locales/hu/views/live.json
+++ b/web/public/locales/hu/views/live.json
@@ -134,6 +134,9 @@
     "playInBackground": {
       "label": "Lejátszás a háttérben",
       "tips": "Engedélyezze ezt az opciót a folyamatos közvetítéshez akkor is, ha a lejátszó rejtve van."
+    },
+    "debug": {
+      "picker": "A stream kiválasztása nem érhető el hibakeresési módban. A hibakeresési nézet mindig az észlelési szerepkörhöz rendelt streamet használja."
     }
   },
   "cameraSettings": {
@@ -167,5 +170,16 @@
   "transcription": {
     "enable": "Élő Audio Feliratozás Engedélyezése",
     "disable": "Élő Audio Feliratozás Kikapcsolása"
+  },
+  "noCameras": {
+    "title": "Nincsenek kamerák beállítva",
+    "description": "Kezdje egy kamera csatlakoztatásával.",
+    "buttonText": "Kamera hozzáadása"
+  },
+  "snapshot": {
+    "takeSnapshot": "Azonnali pillanatkép letöltése",
+    "noVideoSource": "Ehhez a pillanatképhez videó forrás nem elérhető.",
+    "captureFailed": "Pillanatkép készítése sikertelen.",
+    "downloadStarted": "Pillanatkép letöltése elindítva."
   }
 }
diff --git a/web/public/locales/hu/views/search.json b/web/public/locales/hu/views/search.json
index 185a060e5..488ad43c3 100644
--- a/web/public/locales/hu/views/search.json
+++ b/web/public/locales/hu/views/search.json
@@ -26,7 +26,8 @@
       "max_speed": "Maximális Sebesség",
       "recognized_license_plate": "Felismert Rendszám",
       "has_clip": "Van Klip",
-      "has_snapshot": "Van pillanatképe"
+      "has_snapshot": "Van pillanatképe",
+      "attributes": "Tulajdonságok"
     },
     "searchType": {
       "description": "Leírás",
diff --git a/web/public/locales/hu/views/settings.json b/web/public/locales/hu/views/settings.json
index 29f6ba33f..573342eba 100644
--- a/web/public/locales/hu/views/settings.json
+++ b/web/public/locales/hu/views/settings.json
@@ -6,11 +6,13 @@
     "classification": "Osztályozási beállítások - Frigate",
     "masksAndZones": "Maszk és zónaszerkesztő - Frigate",
     "object": "Hibakeresés - Frigate",
-    "general": "Áltlános Beállítások - Frigate",
+    "general": "Felhasználói felület beállításai - Frigate",
     "frigatePlus": "Frigate+ beállítások - Frigate",
     "notifications": "Értesítések beállítása - Frigate",
     "motionTuner": "Mozgás Hangoló - Frigate",
-    "enrichments": "Kiegészítés Beállítások - Frigate"
+    "enrichments": "Kiegészítés Beállítások - Frigate",
+    "cameraManagement": "Kamerák kezelése - Frigate",
+    "cameraReview": "Kamera beállítások áttekintése – Frigate"
   },
   "menu": {
     "ui": "UI",
@@ -23,7 +25,10 @@
     "notifications": "Értesítések",
     "frigateplus": "Frigate+",
     "enrichments": "Extra funkciók",
-    "triggers": "Triggerek"
+    "triggers": "Triggerek",
+    "roles": "Szerepkörök",
+    "cameraManagement": "Menedzsment",
+    "cameraReview": "Vizsgálat"
   },
   "dialog": {
     "unsavedChanges": {
@@ -254,7 +259,8 @@
           "admin": "Adminisztrátor",
           "intro": "Válassza ki a megfelelő szerepkört ehhez a felhasználóhoz:",
           "adminDesc": "Teljes hozzáférés az összes funkcióhoz.",
-          "viewerDesc": "Csak az Élő irányítópultokhoz, Ellenőrzéshez, Felfedezéshez és Exportokhoz korlátozva."
+          "viewerDesc": "Csak az Élő irányítópultokhoz, Ellenőrzéshez, Felfedezéshez és Exportokhoz korlátozva.",
+          "customDesc": "Egyéni szerepkör meghatározott kamerahozzáféréssel."
         },
         "title": "Felhasználói szerepkör módosítása",
         "select": "Válasszon szerepkört",
@@ -317,7 +323,7 @@
       "username": "Felhasználói név",
       "password": "Jelszó",
       "deleteUser": "Felhasználó törlése",
-      "actions": "Műveletek",
+      "actions": "Akciók",
       "role": "Szerepkör",
       "changeRole": "felhasználói szerepkör módosítása"
     },
@@ -749,6 +755,11 @@
           "error": {
             "min": "Legalább egy műveletet ki kell választani."
           }
+        },
+        "friendly_name": {
+          "title": "Barátságos név",
+          "placeholder": "Nevezd meg vagy írd le ezt a triggert",
+          "description": "Egy opcionális felhasználóbarát név vagy leíró szöveg ehhez az eseményindítóhoz."
         }
       }
     },
@@ -763,6 +774,80 @@
         "updateTriggerFailed": "A trigger módosítása sikertelen: {{errorMessage}}",
         "deleteTriggerFailed": "A trigger törlése sikertelen: {{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "title": "Szemantikus keresés le van tiltva",
+      "desc": "A Triggerek használatához engedélyezni kell a szemantikus keresést."
+    }
+  },
+  "roles": {
+    "management": {
+      "title": "Megtekintői szerepkör-kezelés",
+      "desc": "Kezelje az egyéni nézői szerepköröket és a kamera-hozzáférési engedélyeiket ehhez a Frigate-példányhoz."
+    },
+    "addRole": "Szerepkör hozzáadása",
+    "table": {
+      "role": "Szerepkör",
+      "cameras": "Kamerák",
+      "actions": "Akciók",
+      "noRoles": "Nem találhatók egyéni szerepkörök.",
+      "editCameras": "Kamerák módosítása",
+      "deleteRole": "Szerepkör törlése"
+    },
+    "toast": {
+      "success": {
+        "createRole": "Szerepkör létrehozva: {{role}}",
+        "updateCameras": "Kamerák frissítve a szerepkörhöz: {{role}}",
+        "deleteRole": "Szerepkör sikeresen törölve: {{role}}",
+        "userRolesUpdated_one": "{{count}} felhasználó, akit ehhez a szerepkörhöz rendeltünk, frissült „néző”-re, amely hozzáféréssel rendelkezik az összes kamerához.",
+        "userRolesUpdated_other": ""
+      },
+      "error": {
+        "createRoleFailed": "Nem sikerült létrehozni a szerepkört: {{errorMessage}}",
+        "updateCamerasFailed": "Nem sikerült frissíteni a kamerákat: {{errorMessage}}",
+        "deleteRoleFailed": "Nem sikerült törölni a szerepkört: {{errorMessage}}",
+        "userUpdateFailed": "Nem sikerült frissíteni a felhasználói szerepköröket: {{errorMessage}}"
+      }
+    },
+    "dialog": {
+      "createRole": {
+        "title": "Új szerepkör létrehozása",
+        "desc": "Adjon hozzá egy új szerepkört, és adja meg a kamera hozzáférési engedélyeit."
+      },
+      "editCameras": {
+        "title": "Szerepkör kamerák szerkesztése",
+        "desc": "Frissítse a kamerahozzáférést a(z) <strong>{{role}}</strong> szerepkörhöz."
+      },
+      "deleteRole": {
+        "title": "Szerepkör törlése",
+        "desc": "Ez a művelet nem vonható vissza. Ez véglegesen törli a szerepkört, és az ezzel a szerepkörrel rendelkező összes felhasználót a „megtekintő” szerepkörhöz rendeli, amivel a megtekintő hozzáférhet az összes kamerához.",
+        "warn": "Biztosan törölni szeretnéd a(z) <strong>{{role}}</strong> szerepkört?",
+        "deleting": "Törlés..."
+      },
+      "form": {
+        "role": {
+          "title": "Szerepkör neve",
+          "placeholder": "Adja meg a szerepkör nevét",
+          "desc": "Csak betűk, számok, pontok és aláhúzásjelek engedélyezettek.",
+          "roleIsRequired": "A szerepkör nevének megadása kötelező",
+          "roleOnlyInclude": "A szerepkör neve csak betűket, számokat , . vagy _ karaktereket tartalmazhat",
+          "roleExists": "Már létezik egy ilyen nevű szerepkör."
+        },
+        "cameras": {
+          "title": "Kamerák",
+          "desc": "Válassza ki azokat a kamerákat, amelyekhez ennek a szerepkörnek hozzáférése van. Legalább egy kamera megadása szükséges.",
+          "required": "Legalább egy kamerát ki kell választani."
+        }
+      }
+    }
+  },
+  "cameraWizard": {
+    "title": "Kamera hozzáadása",
+    "description": "Kövesse az alábbi lépéseket, hogy új kamerát adjon hozzá a Frigate telepítéséhez.",
+    "steps": {
+      "nameAndConnection": "Név & adatkapcsolat",
+      "streamConfiguration": "Stream beállítások",
+      "validationAndTesting": "Validálás és tesztelés"
     }
   }
 }
diff --git a/web/public/locales/id/audio.json b/web/public/locales/id/audio.json
index d065bf137..0f759c193 100644
--- a/web/public/locales/id/audio.json
+++ b/web/public/locales/id/audio.json
@@ -81,5 +81,9 @@
   "electric_guitar": "Gitar Elektrik",
   "acoustic_guitar": "Gitar Akustik",
   "strum": "Genjreng",
-  "banjo": "Banjo"
+  "banjo": "Banjo",
+  "snoring": "Ngorok",
+  "cough": "Batuk",
+  "clapping": "Tepukan",
+  "camera": "Kamera"
 }
diff --git a/web/public/locales/id/common.json b/web/public/locales/id/common.json
index 9072354dc..34ededad1 100644
--- a/web/public/locales/id/common.json
+++ b/web/public/locales/id/common.json
@@ -9,7 +9,8 @@
     "untilForTime": "Hingga {{time}}",
     "last7": "7 hari terakhir",
     "last14": "14 hari terakhir",
-    "last30": "30 hari terakhir"
+    "last30": "30 hari terakhir",
+    "thisWeek": "Minggu Ini"
   },
   "readTheDocumentation": "Baca dokumentasi"
 }
diff --git a/web/public/locales/id/components/auth.json b/web/public/locales/id/components/auth.json
index 0bc931d99..742e3111a 100644
--- a/web/public/locales/id/components/auth.json
+++ b/web/public/locales/id/components/auth.json
@@ -4,12 +4,13 @@
     "password": "Kata sandi",
     "login": "Masuk",
     "errors": {
-      "usernameRequired": "Wajib Menggunakan Username",
-      "passwordRequired": "Wajib memakai Password",
+      "usernameRequired": "Username diperlukan",
+      "passwordRequired": "Password diperlukan",
       "rateLimit": "Melewati batas permintaan. Coba lagi nanti.",
       "loginFailed": "Gagal Masuk",
       "unknownError": "Eror tidak diketahui. Mohon lihat log.",
       "webUnknownError": "Eror tidak diketahui. Mohon lihat log konsol."
-    }
+    },
+    "firstTimeLogin": "Mencoba masuk untuk pertama kali? Kredensial sudah dicetak di dalam riwayat Frigate."
   }
 }
diff --git a/web/public/locales/id/components/dialog.json b/web/public/locales/id/components/dialog.json
index 5d5f20fb8..1a2c284fb 100644
--- a/web/public/locales/id/components/dialog.json
+++ b/web/public/locales/id/components/dialog.json
@@ -17,7 +17,9 @@
       "review": {
         "question": {
           "label": "Konfirmasi label ini untuk Frigate Plus",
-          "ask_a": "Apakah objek ini adalah sebuah<code>{{label}}</code>?"
+          "ask_a": "Apakah objek ini adalah sebuah<code>{{label}}</code>?",
+          "ask_an": "Apakah objek ini <code>{{label}}</code>?",
+          "ask_full": "Apakah ini object <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
         }
       }
     }
diff --git a/web/public/locales/id/components/filter.json b/web/public/locales/id/components/filter.json
index 0ea01e61b..070963bad 100644
--- a/web/public/locales/id/components/filter.json
+++ b/web/public/locales/id/components/filter.json
@@ -15,5 +15,13 @@
       "title": "Semua Zona",
       "short": "Zona"
     }
+  },
+  "classes": {
+    "label": "Kelas",
+    "all": {
+      "title": "Semua Kelas"
+    },
+    "count_one": "{{count}} Kelas",
+    "count_other": "{{count}} Kelas"
   }
 }
diff --git a/web/public/locales/id/components/player.json b/web/public/locales/id/components/player.json
index 097e50a68..151fd41ce 100644
--- a/web/public/locales/id/components/player.json
+++ b/web/public/locales/id/components/player.json
@@ -14,7 +14,8 @@
   "cameraDisabled": "Kamera dinonaktifkan",
   "stats": {
     "streamType": {
-      "title": "Tipe stream:"
+      "title": "Tipe stream:",
+      "short": "Jenis"
     }
   }
 }
diff --git a/web/public/locales/id/objects.json b/web/public/locales/id/objects.json
index bfeeca8ea..43d98cdde 100644
--- a/web/public/locales/id/objects.json
+++ b/web/public/locales/id/objects.json
@@ -16,5 +16,6 @@
   "horse": "Kuda",
   "goat": "Kambing",
   "sheep": "Domba",
-  "bird": "Burung"
+  "bird": "Burung",
+  "street_sign": "Rambu Jalan"
 }
diff --git a/web/public/locales/id/views/classificationModel.json b/web/public/locales/id/views/classificationModel.json
new file mode 100644
index 000000000..6ea3a7915
--- /dev/null
+++ b/web/public/locales/id/views/classificationModel.json
@@ -0,0 +1,16 @@
+{
+  "documentTitle": "Klasifikasi Model - Frigate",
+  "details": {
+    "scoreInfo": "Skor tersebut mewakili rata-rata kepercayaan klasifikasi di seluruh deteksi objek ini."
+  },
+  "button": {
+    "deleteClassificationAttempts": "Hapus Gambar Klasifikasi",
+    "renameCategory": "Ubah Nama Kelas",
+    "deleteCategory": "Hapus Kelas",
+    "deleteImages": "Hapus Gambar",
+    "trainModel": "Latih Model",
+    "addClassification": "Tambah Klasifikasi",
+    "deleteModels": "Hapus Model",
+    "editModel": "Ubah Model"
+  }
+}
diff --git a/web/public/locales/id/views/configEditor.json b/web/public/locales/id/views/configEditor.json
index 3577999ab..a4d7baeaa 100644
--- a/web/public/locales/id/views/configEditor.json
+++ b/web/public/locales/id/views/configEditor.json
@@ -13,5 +13,6 @@
     }
   },
   "confirm": "Keluar tanpa menyimpan?",
-  "safeModeDescription": "Frigate sedang dalam mode aman karena kesalahan validasi konfigurasi."
+  "safeModeDescription": "Frigate sedang dalam mode aman karena kesalahan validasi konfigurasi.",
+  "safeConfigEditor": "Editor Konfigurasi(Mode Aman)"
 }
diff --git a/web/public/locales/id/views/events.json b/web/public/locales/id/views/events.json
index f320bae8f..94ee3d47d 100644
--- a/web/public/locales/id/views/events.json
+++ b/web/public/locales/id/views/events.json
@@ -12,5 +12,48 @@
     "motion": "Data gerakan tidak ditemukan"
   },
   "timeline.aria": "Pilih timeline",
-  "timeline": "Linimasa"
+  "timeline": "Linimasa",
+  "zoomIn": "Perbesar",
+  "zoomOut": "Perkecil",
+  "events": {
+    "label": "Peristiwa-Peristiwa",
+    "aria": "Pilih peristiwa",
+    "noFoundForTimePeriod": "Tidak ada peristiwa dalam periode waktu berikut."
+  },
+  "detail": {
+    "label": "Detil",
+    "noDataFound": "Tidak ada detil data untuk di review",
+    "aria": "Beralih tampilan detil",
+    "trackedObject_one": "objek",
+    "trackedObject_other": "objek-objek",
+    "noObjectDetailData": "Tidak ada data objek detil tersedia.",
+    "settings": "Pengaturan Tampilan Detil",
+    "alwaysExpandActive": {
+      "title": "Selalu lebarkan yang aktif",
+      "desc": "Selalu perluas detil objek item tinjauan aktif jika tersedia."
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Titik terlacak",
+    "clickToSeek": "Klik untuk mencari waktu ini"
+  },
+  "documentTitle": "Tinjauan - Frigate",
+  "recordings": {
+    "documentTitle": "Rekaman - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "24 Jam Terakhir"
+  },
+  "markAsReviewed": "Tandai sebagai sudah ditinjau",
+  "markTheseItemsAsReviewed": "Tandai item-item berikut sebagai sudah ditinjau",
+  "newReviewItems": {
+    "button": "Item Batu Untuk Ditinjau",
+    "label": "Lihat item ulasan baru"
+  },
+  "selected_one": "{{count}} terpilih",
+  "selected_other": "{{count}} terpilih",
+  "camera": "Kamera",
+  "detected": "terdeteksi",
+  "suspiciousActivity": "Aktivitas Mencurigakan",
+  "threateningActivity": "Aktivitas yang Mengancam"
 }
diff --git a/web/public/locales/id/views/explore.json b/web/public/locales/id/views/explore.json
index de062e132..979ceaf7b 100644
--- a/web/public/locales/id/views/explore.json
+++ b/web/public/locales/id/views/explore.json
@@ -9,7 +9,8 @@
       "estimatedTime": "Perkiraan waktu tersisa:",
       "finishingShortly": "Selesai sesaat lagi",
       "step": {
-        "thumbnailsEmbedded": "Keluku dilampirkan "
+        "thumbnailsEmbedded": "Keluku dilampirkan ",
+        "descriptionsEmbedded": "Deskripsi terlampir: "
       }
     }
   },
diff --git a/web/public/locales/id/views/exports.json b/web/public/locales/id/views/exports.json
index ebb88a9f7..043c313de 100644
--- a/web/public/locales/id/views/exports.json
+++ b/web/public/locales/id/views/exports.json
@@ -1,17 +1,23 @@
 {
   "documentTitle": "Expor - Frigate",
   "search": "Cari",
-  "noExports": "Tidak bisa mengekspor",
+  "noExports": "Ekspor tidak ditemukan",
   "deleteExport": "Hapus Ekspor",
   "deleteExport.desc": "Apakah Anda yakin ingin menghapus {{exportName}}?",
   "editExport": {
-    "title": "Ganti Nama saat Ekspor",
-    "desc": "Masukkan nama baru untuk mengekspor.",
+    "title": "Ganti Nama Ekspor",
+    "desc": "Masukkan nama baru untuk ekspor ini.",
     "saveExport": "Simpan Ekspor"
   },
   "toast": {
     "error": {
-      "renameExportFailed": "Gagal mengganti nama export: {{errorMessage}}"
+      "renameExportFailed": "Gagal mengganti nama ekspor: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Bagikan Ekspor",
+    "downloadVideo": "Unduh Video",
+    "editName": "Ubah nama",
+    "deleteExport": "Hapus ekspor"
   }
 }
diff --git a/web/public/locales/id/views/faceLibrary.json b/web/public/locales/id/views/faceLibrary.json
index ff1fd4b61..bde637fa0 100644
--- a/web/public/locales/id/views/faceLibrary.json
+++ b/web/public/locales/id/views/faceLibrary.json
@@ -1,6 +1,6 @@
 {
   "description": {
-    "addFace": "Tambah ke koleksi Pustaka Wajah.",
+    "addFace": "Tambah ke koleksi Pustaka Wajah dengan men-upload gambar pertama anda.",
     "placeholder": "Masukkan Nama untuk koleksi ini",
     "invalidName": "Nama tidak valid. Nama hanya dapat berisi huruf, angka, spasi, apostrof, garis bawah, dan tanda hubung."
   },
@@ -18,13 +18,75 @@
   "createFaceLibrary": {
     "desc": "Buat koleksi baru",
     "title": "Buat Koleksi",
-    "nextSteps": "Untuk membangun fondasi yang kuat:<li>Gunakan tab Latih untuk memilih dan melatih gambar untuk setiap orang yang terdeteksi.</li><li>Fokus pada gambar lurus untuk hasil terbaik; hindari melatih gambar yang menangkap wajah pada sudut tertentu.</li></ul>"
+    "nextSteps": "Untuk membangun fondasi yang kuat:<li>Gunakan tab Pengenalan Terbaru untuk memilih dan melatih gambar untuk setiap orang yang terdeteksi.</li><li>Fokus pada gambar langsung untuk hasil terbaik; hindari melatih gambar yang menangkap wajah pada sudut tertentu.</li></ul>",
+    "new": "Buat Wajah Baru"
   },
   "uploadFaceImage": {
     "desc": "Unggah gambar untuk dipindai wajah dan sertakan untuk {{pageToggle}}",
     "title": "Unggah Gambar Wajah"
   },
   "steps": {
-    "faceName": "Masukkan Nama Wajah"
+    "faceName": "Masukkan Nama Wajah",
+    "uploadFace": "Unggah Gambar Wajah",
+    "nextSteps": "Langkah Berikutnya",
+    "description": {
+      "uploadFace": "Upload sebuah gambar dari {{name}} yang menunjukkan wajah mereka dari sisi depan. Gambar tidak perlu dipotong ke wajah mereka."
+    }
+  },
+  "train": {
+    "title": "Pengenalan Terkini",
+    "aria": "Pilih pengenalan terkini",
+    "empty": "Tidak ada percobaan pengenalan wajah baru-baru ini"
+  },
+  "deleteFaceLibrary": {
+    "title": "Hapus Nama",
+    "desc": "Apakah anda yakin ingin menghapus koleksi {{name}}? Ini akan menghapus semua wajah terkait secara permanen."
+  },
+  "deleteFaceAttempts": {
+    "title": "Hapus Wajah-Wajah",
+    "desc_other": "Apakah anda yakin ingin menghapis {{count}} wajah? Aksi ini tidak dapat diurungkan."
+  },
+  "renameFace": {
+    "title": "Ganti Nama Wajah",
+    "desc": "Masukkan nama baru untuk {{name}}"
+  },
+  "button": {
+    "deleteFaceAttempts": "Hapus Wajah",
+    "addFace": "Tambah Wajah",
+    "renameFace": "Ganti Nama Wajah",
+    "deleteFace": "Hapus Wajah",
+    "uploadImage": "Unggah Gambar",
+    "reprocessFace": "Proses Ulang Wajah"
+  },
+  "imageEntry": {
+    "validation": {
+      "selectImage": "Silahkan pilih sebuah file gambar."
+    },
+    "dropActive": "Letakkan gambar di sini…",
+    "dropInstructions": "Seret dan lepaskan atau tempel gambar di sini, atau klik untuk memilih",
+    "maxSize": "Ukuran maksimum: {{size}}MB"
+  },
+  "nofaces": "Tidak ada wajah tersedia",
+  "trainFaceAs": "Latih Gambar sebagai:",
+  "trainFace": "Latih Wajah",
+  "toast": {
+    "success": {
+      "uploadedImage": "Berhasil men unggah gambar.",
+      "addFaceLibrary": "{{name}} telah berhasil ditambahkan ke Pustaka Wajah!",
+      "deletedFace_other": "Berhasil menghapus {{count}} wajah.",
+      "deletedName_other": "{{count}} wajah telah berhasil dihapus.",
+      "renamedFace": "Berhasil mengganti nama wajah ke {{name}}",
+      "trainedFace": "Berhasil melatih wajah.",
+      "updatedFaceScore": "Berhasil memperbaharui nilai wajah."
+    },
+    "error": {
+      "uploadingImageFailed": "Gagal menunggah gambar: {{errorMessage}}",
+      "addFaceLibraryFailed": "Gagal mengatur nama wajah: {{errorMessage}}",
+      "deleteFaceFailed": "Gagal untuk menghapus: {{errorMessage}}",
+      "deleteNameFailed": "Gagal menghapus nama: {{errorMessage}}",
+      "renameFaceFailed": "Gagal mengganti nama wajah: {{errorMessage}}",
+      "trainFailed": "Gagal untuk melatih: {{errorMessage}}",
+      "updateFaceScoreFailed": "Gagal untuk memperbaharui nilai wajah: {{errorMessage}}"
+    }
   }
 }
diff --git a/web/public/locales/id/views/live.json b/web/public/locales/id/views/live.json
index 97a733541..51817a84b 100644
--- a/web/public/locales/id/views/live.json
+++ b/web/public/locales/id/views/live.json
@@ -14,7 +14,8 @@
     "move": {
       "clickMove": {
         "label": "Klik kotak ini untuk menengahkan kamera",
-        "enable": "Aktifkan klik untuk bergerak"
+        "enable": "Aktifkan klik untuk bergerak",
+        "disable": "Non-aktifkan klik untuk bergerak"
       }
     }
   }
diff --git a/web/public/locales/id/views/search.json b/web/public/locales/id/views/search.json
index c4c598990..fbca84c8d 100644
--- a/web/public/locales/id/views/search.json
+++ b/web/public/locales/id/views/search.json
@@ -9,5 +9,10 @@
     "filterInformation": "Saring Informasi",
     "filterActive": "Filter aktif"
   },
-  "trackedObjectId": "Tracked Object ID"
+  "trackedObjectId": "Tracked Object ID",
+  "filter": {
+    "label": {
+      "cameras": "Kamera"
+    }
+  }
 }
diff --git a/web/public/locales/id/views/settings.json b/web/public/locales/id/views/settings.json
index 43c59244e..45e49fd1e 100644
--- a/web/public/locales/id/views/settings.json
+++ b/web/public/locales/id/views/settings.json
@@ -8,6 +8,41 @@
     "motionTuner": "Penyetel Gerakan - Frigate",
     "general": "Frigate - Pengaturan Umum",
     "object": "Debug - Frigate",
-    "enrichments": "Frigate - Pengaturan Pengayaan"
+    "enrichments": "Frigate - Pengaturan Pengayaan",
+    "cameraManagement": "Pengaturan Kamera - Frigate",
+    "cameraReview": "Pengaturan Ulasan Kamera - Frigate",
+    "frigatePlus": "Pengaturan Frigate+ - Frigate"
+  },
+  "menu": {
+    "cameraManagement": "Manajemen",
+    "notifications": "Notifikasi",
+    "ui": "Antarmuka Pengguna",
+    "enrichments": "Peningkatan",
+    "cameraReview": "Ulasan",
+    "motionTuner": "Pengatur Gerak",
+    "triggers": "Pemicu",
+    "users": "Pengguna",
+    "roles": "Peran",
+    "frigateplus": "Frigate+"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "Anda memiliki perubahan yang belum disimpan.",
+      "desc": "Apakah Anda ingin menyimpan perubahan Anda sebelum melanjutkan?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "Kamera",
+    "noCamera": "Tidak Ada Kamera"
+  },
+  "general": {
+    "title": "Pengaturan Antarmuka Pengguna",
+    "liveDashboard": {
+      "title": "Dashboard Langsung",
+      "automaticLiveView": {
+        "label": "Tampilan Langsung Otomatis",
+        "desc": "Secara otomatis beralih ke tampilan langsung kamera saat aktivitas terdeteksi. Menonaktifkan opsi ini menyebabkan gambar statis kamera di dasbor langsung hanya diperbarui sekali per menit."
+      }
+    }
   }
 }
diff --git a/web/public/locales/id/views/system.json b/web/public/locales/id/views/system.json
index 183e7ca34..9a70ff6ca 100644
--- a/web/public/locales/id/views/system.json
+++ b/web/public/locales/id/views/system.json
@@ -11,5 +11,10 @@
     }
   },
   "title": "Sistem",
-  "metrics": "Metrik sistem"
+  "metrics": "Metrik sistem",
+  "logs": {
+    "download": {
+      "label": "Unduh Log"
+    }
+  }
 }
diff --git a/web/public/locales/it/audio.json b/web/public/locales/it/audio.json
index 9a08719ad..17ca12ce1 100644
--- a/web/public/locales/it/audio.json
+++ b/web/public/locales/it/audio.json
@@ -399,7 +399,7 @@
   "mechanical_fan": "Ventilatore meccanico",
   "air_conditioning": "Aria condizionata",
   "cash_register": "Registratore di cassa",
-  "single-lens_reflex_camera": "Fotocamera reflex a obiettivo singolo",
+  "single-lens_reflex_camera": "Telecamera reflex a obiettivo singolo",
   "tools": "Utensili",
   "jackhammer": "Martello pneumatico",
   "sawing": "Segare",
@@ -425,5 +425,79 @@
   "white_noise": "Rumore bianco",
   "pink_noise": "Rumore rosa",
   "field_recording": "Registrazione sul campo",
-  "scream": "Grido"
+  "scream": "Grido",
+  "vibration": "Vibrazione",
+  "sodeling": "Zollatura",
+  "chird": "Accordo",
+  "change_ringing": "Cambia suoneria",
+  "shofar": "Shofar",
+  "liquid": "Liquido",
+  "splash": "Schizzo",
+  "slosh": "Sciabordio",
+  "squish": "Schiacciare",
+  "drip": "Gocciolare",
+  "pour": "Versare",
+  "trickle": "Gocciolare",
+  "gush": "Sgorgare",
+  "fill": "Riempire",
+  "spray": "Spruzzare",
+  "pump": "Pompare",
+  "stir": "Mescolare",
+  "boiling": "Ebollizione",
+  "sonar": "Sonar",
+  "arrow": "Freccia",
+  "whoosh": "Sibilo",
+  "thump": "Tonfo",
+  "thunk": "Tonfo",
+  "electronic_tuner": "Accordatore elettronico",
+  "effects_unit": "Unità degli effetti",
+  "chorus_effect": "Effetto coro",
+  "basketball_bounce": "Rimbalzo di basket",
+  "bang": "Botto",
+  "slap": "Schiaffo",
+  "whack": "Colpo",
+  "smash": "Distruggere",
+  "breaking": "Rottura",
+  "bouncing": "Rimbalzo",
+  "whip": "Frusta",
+  "flap": "Patta",
+  "scratch": "Graffio",
+  "scrape": "Graffio",
+  "rub": "Strofinio",
+  "roll": "Rotolio",
+  "crushing": "Schiacciamento",
+  "crumpling": "Accartocciamento",
+  "tearing": "Strappo",
+  "beep": "Segnale acustico",
+  "ping": "Segnale",
+  "ding": "Bip",
+  "clang": "Fragore",
+  "squeal": "Strillo",
+  "creak": "Scricchiolio",
+  "rustle": "Fruscio",
+  "whir": "Ronzio",
+  "clatter": "Rumore",
+  "sizzle": "Sfrigolio",
+  "clicking": "Cliccando",
+  "clickety_clack": "Clic-clac",
+  "rumble": "Rombo",
+  "plop": "Tonfo",
+  "hum": "Ronzio",
+  "zing": "Brio",
+  "boing": "Balzo",
+  "crunch": "Scricchiolio",
+  "sine_wave": "Onda sinusoidale",
+  "harmonic": "Armonica",
+  "chirp_tone": "Tono di cinguettio",
+  "pulse": "Impulso",
+  "inside": "Dentro",
+  "outside": "Fuori",
+  "reverberation": "Riverbero",
+  "echo": "Eco",
+  "noise": "Rumore",
+  "mains_hum": "Ronzio di rete",
+  "distortion": "Distorsione",
+  "sidetone": "Effetto laterale",
+  "cacophony": "Cacofonia",
+  "throbbing": "Palpitante"
 }
diff --git a/web/public/locales/it/common.json b/web/public/locales/it/common.json
index f4ee9086f..7967311bd 100644
--- a/web/public/locales/it/common.json
+++ b/web/public/locales/it/common.json
@@ -87,7 +87,10 @@
     "formattedTimestampMonthDayYear": {
       "12hour": "d MMM, yyyy",
       "24hour": "d MMM, yyyy"
-    }
+    },
+    "inProgress": "In corso",
+    "invalidStartTime": "Ora di inizio non valida",
+    "invalidEndTime": "Ora di fine non valida"
   },
   "button": {
     "cancel": "Annulla",
@@ -124,7 +127,8 @@
     "back": "Indietro",
     "pictureInPicture": "Immagine nell'immagine",
     "twoWayTalk": "Comunicazione bidirezionale",
-    "cameraAudio": "Audio della telecamera"
+    "cameraAudio": "Audio della telecamera",
+    "continue": "Continua"
   },
   "unit": {
     "speed": {
@@ -134,10 +138,24 @@
     "length": {
       "feet": "piedi",
       "meters": "metri"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/ora",
+      "mbph": "MB/ora",
+      "gbph": "GB/ora"
     }
   },
   "label": {
-    "back": "Vai indietro"
+    "back": "Vai indietro",
+    "hide": "Nascondi {{item}}",
+    "show": "Mostra {{item}}",
+    "ID": "ID",
+    "none": "Nessuna",
+    "all": "Tutte",
+    "other": "Altro"
   },
   "menu": {
     "configuration": "Configurazione",
@@ -239,7 +257,8 @@
       "setPassword": "Imposta password"
     },
     "withSystem": "Sistema",
-    "faceLibrary": "Raccolta volti"
+    "faceLibrary": "Raccolta volti",
+    "classification": "Classificazione"
   },
   "pagination": {
     "next": {
@@ -257,7 +276,7 @@
     "title": "Ruolo",
     "admin": "Amministratore",
     "viewer": "Spettatore",
-    "desc": "Gli Amministratori hanno accesso completo a tutte le funzionalità dell'interfaccia di Frigate. Gli Spettatori sono limitati alla sola visualizzazione delle telecamere, rivedono gli oggetti e le registrazioni storiche nell'interfaccia utente."
+    "desc": "Gli amministratori hanno accesso completo a tutte le funzionalità dell'interfaccia utente di Frigate. Gli spettatori possono visualizzare solo le telecamere, gli elementi di revisione e i filmati storici nell'interfaccia utente."
   },
   "accessDenied": {
     "desc": "Non hai i permessi per visualizzare questa pagina.",
@@ -280,5 +299,17 @@
     }
   },
   "selectItem": "Seleziona {{item}}",
-  "readTheDocumentation": "Leggi la documentazione"
+  "readTheDocumentation": "Leggi la documentazione",
+  "information": {
+    "pixels": "{{area}}px"
+  },
+  "list": {
+    "two": "{{0}} e {{1}}",
+    "many": "{{items}}, e {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "Opzionale",
+    "internalID": "L'ID interno che Frigate utilizza nella configurazione e nel database"
+  }
 }
diff --git a/web/public/locales/it/components/auth.json b/web/public/locales/it/components/auth.json
index bb6e2200d..f74387766 100644
--- a/web/public/locales/it/components/auth.json
+++ b/web/public/locales/it/components/auth.json
@@ -10,6 +10,7 @@
       "unknownError": "Errore sconosciuto. Controlla i registri.",
       "webUnknownError": "Errore sconosciuto. Controlla i registri della console.",
       "loginFailed": "Accesso non riuscito"
-    }
+    },
+    "firstTimeLogin": "Stai cercando di accedere per la prima volta? Le credenziali sono scritte nei registri di Frigate."
   }
 }
diff --git a/web/public/locales/it/components/dialog.json b/web/public/locales/it/components/dialog.json
index f5a124779..5e88d1f7d 100644
--- a/web/public/locales/it/components/dialog.json
+++ b/web/public/locales/it/components/dialog.json
@@ -61,12 +61,13 @@
     "export": "Esporta",
     "selectOrExport": "Seleziona o esporta",
     "toast": {
-      "success": "Esportazione avviata correttamente. Visualizza il file nella cartella /exports.",
+      "success": "Esportazione avviata correttamente. Visualizza il file nella pagina delle esportazioni.",
       "error": {
         "failed": "Impossibile avviare l'esportazione: {{error}}",
         "endTimeMustAfterStartTime": "L'ora di fine deve essere successiva all'ora di inizio",
         "noVaildTimeSelected": "Nessun intervallo di tempo valido selezionato"
-      }
+      },
+      "view": "Visualizzazione"
     },
     "fromTimeline": {
       "saveExport": "Salva esportazione",
@@ -110,7 +111,8 @@
     "button": {
       "export": "Esporta",
       "markAsReviewed": "Segna come visto",
-      "deleteNow": "Elimina ora"
+      "deleteNow": "Elimina ora",
+      "markAsUnreviewed": "Segna come non visto"
     },
     "confirmDelete": {
       "desc": {
@@ -128,6 +130,7 @@
     "search": {
       "placeholder": "Cerca per etichetta o sottoetichetta..."
     },
-    "noImages": "Nessuna miniatura trovata per questa fotocamera"
+    "noImages": "Nessuna miniatura trovata per questa telecamera",
+    "unknownLabel": "Immagine di attivazione salvata"
   }
 }
diff --git a/web/public/locales/it/components/filter.json b/web/public/locales/it/components/filter.json
index 85dabf7e7..ac5eaebad 100644
--- a/web/public/locales/it/components/filter.json
+++ b/web/public/locales/it/components/filter.json
@@ -63,7 +63,7 @@
         "label": "Cerca la fonte",
         "desc": "Scegli se cercare nelle miniature o nelle descrizioni degli oggetti tracciati.",
         "options": {
-          "thumbnailImage": "Immagine anteprima",
+          "thumbnailImage": "Immagine in miniatura",
           "description": "Descrizione"
         }
       }
@@ -132,5 +132,9 @@
     },
     "count_one": "{{count}} Classe",
     "count_other": "{{count}} Classi"
+  },
+  "attributes": {
+    "label": "Attributi di classificazione",
+    "all": "Tutti gli attributi"
   }
 }
diff --git a/web/public/locales/it/views/classificationModel.json b/web/public/locales/it/views/classificationModel.json
new file mode 100644
index 000000000..a35a39172
--- /dev/null
+++ b/web/public/locales/it/views/classificationModel.json
@@ -0,0 +1,193 @@
+{
+  "documentTitle": "Modelli di classificazione",
+  "button": {
+    "deleteClassificationAttempts": "Elimina immagini di classificazione",
+    "renameCategory": "Rinomina classe",
+    "deleteCategory": "Elimina classe",
+    "deleteImages": "Elimina immagini",
+    "trainModel": "Modello di addestramento",
+    "addClassification": "Aggiungi classificazione",
+    "deleteModels": "Elimina modelli",
+    "editModel": "Modifica modello"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Classe eliminata",
+      "deletedImage": "Immagini eliminate",
+      "categorizedImage": "Immagine classificata con successo",
+      "trainedModel": "Modello addestrato con successo.",
+      "trainingModel": "Avviato con successo l'addestramento del modello.",
+      "deletedModel_one": "Eliminato con successo {{count}} modello",
+      "deletedModel_many": "Eliminati con successo {{count}} modelli",
+      "deletedModel_other": "Eliminati con successo {{count}} modelli",
+      "updatedModel": "Configurazione del modello aggiornata correttamente",
+      "renamedCategory": "Classe rinominata correttamente in {{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "Impossibile eliminare: {{errorMessage}}",
+      "deleteCategoryFailed": "Impossibile eliminare la classe: {{errorMessage}}",
+      "categorizeFailed": "Impossibile categorizzare l'immagine: {{errorMessage}}",
+      "trainingFailed": "Addestramento del modello fallito. Controlla i registri di Frigate per i dettagli.",
+      "deleteModelFailed": "Impossibile eliminare il modello: {{errorMessage}}",
+      "updateModelFailed": "Impossibile aggiornare il modello: {{errorMessage}}",
+      "trainingFailedToStart": "Impossibile avviare l'addestramento del modello: {{errorMessage}}",
+      "renameCategoryFailed": "Impossibile rinominare la classe: {{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "Elimina classe",
+    "desc": "Vuoi davvero eliminare la classe {{name}}? Questa operazione eliminerà definitivamente tutte le immagini associate e richiederà un nuovo addestramento del modello.",
+    "minClassesTitle": "Impossibile eliminare la classe",
+    "minClassesDesc": "Un modello di classificazione deve avere almeno 2 classi. Aggiungi un'altra classe prima di eliminare questa."
+  },
+  "deleteDatasetImages": {
+    "title": "Elimina immagini della base dati",
+    "desc_one": "Vuoi davvero eliminare {{count}} immagine da {{dataset}}? Questa azione non può essere annullata e richiederà un nuovo addestramento del modello.",
+    "desc_many": "Vuoi davvero eliminare {{count}} immagini da {{dataset}}? Questa azione non può essere annullata e richiederà un nuovo addestramento del modello.",
+    "desc_other": "Vuoi davvero eliminare {{count}} immagini da {{dataset}}? Questa azione non può essere annullata e richiederà un nuovo addestramento del modello."
+  },
+  "deleteTrainImages": {
+    "title": "Elimina le immagini di addestramento",
+    "desc_one": "Vuoi davvero eliminare {{count}} immagine? Questa azione non può essere annullata.",
+    "desc_many": "Vuoi davvero eliminare {{count}} immagini? Questa azione non può essere annullata.",
+    "desc_other": "Vuoi davvero eliminare {{count}} immagini? Questa azione non può essere annullata."
+  },
+  "renameCategory": {
+    "title": "Rinomina classe",
+    "desc": "Inserisci un nuovo nome per {{name}}. Sarà necessario riaddestrare il modello affinché la modifica del nome abbia effetto."
+  },
+  "description": {
+    "invalidName": "Nome non valido. I nomi possono contenere solo lettere, numeri, spazi, apostrofi, caratteri di sottolineatura e trattini."
+  },
+  "train": {
+    "title": "Classificazioni recenti",
+    "titleShort": "Recente",
+    "aria": "Seleziona classificazioni recenti"
+  },
+  "categories": "Classi",
+  "createCategory": {
+    "new": "Crea nuova classe"
+  },
+  "categorizeImageAs": "Classifica immagine come:",
+  "categorizeImage": "Classifica immagine",
+  "noModels": {
+    "object": {
+      "title": "Nessun modello di classificazione degli oggetti",
+      "description": "Crea un modello personalizzato per classificare gli oggetti rilevati.",
+      "buttonText": "Crea modello oggetto"
+    },
+    "state": {
+      "title": "Nessun modello di classificazione dello stato",
+      "description": "Crea un modello personalizzato per monitorare e classificare i cambiamenti di stato in aree specifiche della telecamera.",
+      "buttonText": "Crea modello di stato"
+    }
+  },
+  "wizard": {
+    "title": "Crea nuova classificazione",
+    "steps": {
+      "nameAndDefine": "Nome e definizione",
+      "stateArea": "Area di stato",
+      "chooseExamples": "Scegli esempi"
+    },
+    "step1": {
+      "description": "I modelli di stato monitorano le aree fisse delle telecamere per rilevare eventuali cambiamenti (ad esempio, porta aperta/chiusa). I modelli di oggetti aggiungono classificazioni agli oggetti rilevati (ad esempio, animali noti, addetti alle consegne, ecc.).",
+      "name": "Nome",
+      "namePlaceholder": "Inserisci il nome del modello...",
+      "type": "Tipo",
+      "typeState": "Stato",
+      "typeObject": "Oggetto",
+      "objectLabel": "Etichetta oggetto",
+      "objectLabelPlaceholder": "Seleziona il tipo di oggetto...",
+      "classificationType": "Tipo di classificazione",
+      "classificationTypeTip": "Scopri i tipi di classificazione",
+      "classificationTypeDesc": "Le sottoetichette aggiungono testo aggiuntivo all'etichetta dell'oggetto (ad esempio, \"Persona: UPS\"). Gli attributi sono metadati ricercabili, archiviati separatamente nei metadati dell'oggetto.",
+      "classificationSubLabel": "Etichetta secondaria",
+      "classificationAttribute": "Attributo",
+      "classes": "Classi",
+      "classesTip": "Scopri di più sulle classi",
+      "classesStateDesc": "Definisci i diversi stati in cui può trovarsi l'area della tua telecamera. Ad esempio: \"aperto\" e \"chiuso\" per una porta del garage.",
+      "classesObjectDesc": "Definisci le diverse categorie in cui classificare gli oggetti rilevati. Ad esempio: \"corriere\", \"residente\", \"straniero\" per la classificazione delle persone.",
+      "classPlaceholder": "Inserisci il nome della classe...",
+      "errors": {
+        "nameRequired": "Il nome del modello è obbligatorio",
+        "nameLength": "Il nome del modello deve contenere al massimo 64 caratteri",
+        "nameOnlyNumbers": "Il nome del modello non può contenere solo numeri",
+        "classRequired": "È richiesta almeno 1 classe",
+        "classesUnique": "I nomi delle classi devono essere univoci",
+        "stateRequiresTwoClasses": "I modelli di stato richiedono almeno 2 classi",
+        "objectLabelRequired": "Seleziona un'etichetta per l'oggetto",
+        "objectTypeRequired": "Seleziona un tipo di classificazione",
+        "noneNotAllowed": "La classe 'nessuno' non è consentita"
+      },
+      "states": "Stati"
+    },
+    "step2": {
+      "description": "Seleziona le telecamere e definisci l'area da monitorare per ciascuna telecamera. Il modello classificherà lo stato di queste aree.",
+      "cameras": "Telecamere",
+      "selectCamera": "Seleziona telecamera",
+      "noCameras": "Fai clic su + per aggiungere telecamere",
+      "selectCameraPrompt": "Selezionare una telecamera dall'elenco per definire la sua area di monitoraggio"
+    },
+    "step3": {
+      "selectImagesPrompt": "Seleziona tutte le immagini con: {{className}}",
+      "selectImagesDescription": "Clicca sulle immagini per selezionarle. Clicca su Continua quando hai finito con questa classe.",
+      "generating": {
+        "title": "Generazione di immagini campione",
+        "description": "Frigate sta estraendo immagini rappresentative dalle registrazioni. L'operazione potrebbe richiedere qualche istante..."
+      },
+      "training": {
+        "title": "Modello di addestramento",
+        "description": "Il tuo modello è in fase di addestramento in sottofondo. Chiudi questa finestra di dialogo e il tuo modello inizierà a funzionare non appena l'addestramento sarà completato."
+      },
+      "retryGenerate": "Riprova generazione",
+      "noImages": "Nessuna immagine campione generata",
+      "classifying": "Classificazione e addestramento...",
+      "trainingStarted": "Addestramento iniziato con successo",
+      "errors": {
+        "noCameras": "Nessuna telecamera configurata",
+        "noObjectLabel": "Nessuna etichetta oggetto selezionata",
+        "generateFailed": "Impossibile generare esempi: {{error}}",
+        "generationFailed": "Generazione fallita. Per favore riprova.",
+        "classifyFailed": "Impossibile classificare le immagini: {{error}}"
+      },
+      "generateSuccess": "Immagini campione generate correttamente",
+      "allImagesRequired_one": "Classifica tutte le immagini. Rimane {{count}} immagine.",
+      "allImagesRequired_many": "Classifica tutte le immagini. Rimangono {{count}} immagini.",
+      "allImagesRequired_other": "Classifica tutte le immagini. Rimangono {{count}} immagini.",
+      "modelCreated": "Modello creato correttamente. Utilizza la vista Classificazioni recenti per aggiungere immagini per gli stati mancanti, quindi addestrare il modello.",
+      "missingStatesWarning": {
+        "title": "Esempi di stati mancanti",
+        "description": "Per ottenere risultati ottimali, si consiglia di selezionare esempi per tutti gli stati. È possibile continuare senza selezionare tutti gli stati, ma il modello non verrà addestrato finché tutti gli stati non avranno immagini. Dopo aver continuato, utilizza la vista Classificazioni recenti per classificare le immagini per gli stati mancanti, quindi addestra il modello."
+      }
+    }
+  },
+  "deleteModel": {
+    "title": "Elimina modello di classificazione",
+    "single": "Vuoi davvero eliminare {{name}}? Questa operazione eliminerà definitivamente tutti i dati associati, comprese le immagini e i dati di allenamento. Questa azione non può essere annullata.",
+    "desc_one": "Vuoi davvero eliminare {{count}} modello? Questa operazione eliminerà definitivamente tutti i dati associati, comprese le immagini e i dati di addestramento. Questa azione non può essere annullata.",
+    "desc_many": "Vuoi davvero eliminare {{count}} modelli? Questa operazione eliminerà definitivamente tutti i dati associati, comprese le immagini e i dati di addestramento. Questa azione non può essere annullata.",
+    "desc_other": "Vuoi davvero eliminare {{count}} modelli? Questa operazione eliminerà definitivamente tutti i dati associati, comprese le immagini e i dati di addestramento. Questa azione non può essere annullata."
+  },
+  "menu": {
+    "objects": "Oggetti",
+    "states": "Stati"
+  },
+  "details": {
+    "scoreInfo": "Il punteggio rappresenta la confidenza media della classificazione in tutti i rilevamenti di questo oggetto.",
+    "none": "Nessuno",
+    "unknown": "Sconosciuto"
+  },
+  "edit": {
+    "title": "Modifica modello di classificazione",
+    "descriptionState": "Modifica le classi per questo modello di classificazione dello stato. Le modifiche richiederanno un nuovo addestramento del modello.",
+    "descriptionObject": "Modifica il tipo di oggetto e il tipo di classificazione per questo modello di classificazione degli oggetti.",
+    "stateClassesInfo": "Nota: la modifica delle classi di stato richiede il riaddestramento del modello con le classi aggiornate."
+  },
+  "tooltip": {
+    "trainingInProgress": "Il modello è attualmente in addestramento",
+    "modelNotReady": "Il modello non è pronto per l'addestramento",
+    "noNewImages": "Nessuna nuova immagine da addestrare. Classifica prima più immagini nel database.",
+    "noChanges": "Nessuna modifica al database dall'ultimo addestramento."
+  },
+  "none": "Nessuno"
+}
diff --git a/web/public/locales/it/views/events.json b/web/public/locales/it/views/events.json
index 791bcc135..f1a9255f7 100644
--- a/web/public/locales/it/views/events.json
+++ b/web/public/locales/it/views/events.json
@@ -8,7 +8,11 @@
   "empty": {
     "alert": "Non ci sono avvisi da rivedere",
     "detection": "Non ci sono rilevamenti da rivedere",
-    "motion": "Nessun dato di movimento trovato"
+    "motion": "Nessun dato di movimento trovato",
+    "recordingsDisabled": {
+      "description": "Gli elementi di revisione possono essere creati per una telecamera solo quando le registrazioni sono abilitate per quella telecamera.",
+      "title": "Le registrazioni devono essere abilitate"
+    }
   },
   "newReviewItems": {
     "label": "Visualizza i nuovi elementi da rivedere",
@@ -37,5 +41,28 @@
   "selected_other": "{{count}} selezionati",
   "detected": "rilevato",
   "suspiciousActivity": "Attività sospetta",
-  "threateningActivity": "Attività minacciosa"
+  "threateningActivity": "Attività minacciosa",
+  "detail": {
+    "noDataFound": "Nessun dato dettagliato da rivedere",
+    "aria": "Attiva/disattiva la visualizzazione dettagliata",
+    "trackedObject_one": "{{count}} oggetto",
+    "trackedObject_other": "{{count}} oggetti",
+    "noObjectDetailData": "Non sono disponibili dati dettagliati sull'oggetto.",
+    "label": "Dettaglio",
+    "settings": "Impostazioni di visualizzazione dettagliata",
+    "alwaysExpandActive": {
+      "title": "Espandi sempre attivo",
+      "desc": "Espandere sempre i dettagli dell'oggetto dell'elemento di revisione attivo quando disponibili."
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Punto tracciato",
+    "clickToSeek": "Premi per cercare in questo momento"
+  },
+  "zoomIn": "Ingrandisci",
+  "zoomOut": "Rimpicciolisci",
+  "normalActivity": "Normale",
+  "needsReview": "Necessita revisione",
+  "securityConcern": "Rischio per la sicurezza",
+  "select_all": "Tutti"
 }
diff --git a/web/public/locales/it/views/explore.json b/web/public/locales/it/views/explore.json
index a440e0281..498e09465 100644
--- a/web/public/locales/it/views/explore.json
+++ b/web/public/locales/it/views/explore.json
@@ -53,13 +53,15 @@
           "regenerate": "È stata richiesta una nuova descrizione a {{provider}}. A seconda della velocità del tuo provider, la rigenerazione della nuova descrizione potrebbe richiedere del tempo.",
           "updatedSublabel": "Sottoetichetta aggiornata correttamente.",
           "updatedLPR": "Targa aggiornata con successo.",
-          "audioTranscription": "Trascrizione audio richiesta con successo."
+          "audioTranscription": "Trascrizione audio richiesta con successo. A seconda della velocità del server Frigate, la trascrizione potrebbe richiedere del tempo.",
+          "updatedAttributes": "Attributi aggiornati correttamente."
         },
         "error": {
           "regenerate": "Impossibile chiamare {{provider}} per una nuova descrizione: {{errorMessage}}",
           "updatedSublabelFailed": "Impossibile aggiornare la sottoetichetta: {{errorMessage}}",
           "updatedLPRFailed": "Impossibile aggiornare la targa: {{errorMessage}}",
-          "audioTranscription": "Impossibile richiedere la trascrizione audio: {{errorMessage}}"
+          "audioTranscription": "Impossibile richiedere la trascrizione audio: {{errorMessage}}",
+          "updatedAttributesFailed": "Impossibile aggiornare gli attributi: {{errorMessage}}"
         }
       }
     },
@@ -103,6 +105,14 @@
     },
     "score": {
       "label": "Punteggio"
+    },
+    "editAttributes": {
+      "title": "Modifica attributi",
+      "desc": "Seleziona gli attributi di classificazione per questa {{label}}"
+    },
+    "attributes": "Attributi di classificazione",
+    "title": {
+      "label": "Titolo"
     }
   },
   "objectLifecycle": {
@@ -158,7 +168,9 @@
     "snapshot": "istantanea",
     "object_lifecycle": "ciclo di vita dell'oggetto",
     "details": "dettagli",
-    "video": "video"
+    "video": "video",
+    "thumbnail": "miniatura",
+    "tracking_details": "dettagli di tracciamento"
   },
   "itemMenu": {
     "downloadSnapshot": {
@@ -195,11 +207,25 @@
     "audioTranscription": {
       "label": "Trascrivere",
       "aria": "Richiedi la trascrizione audio"
+    },
+    "showObjectDetails": {
+      "label": "Mostra il percorso dell'oggetto"
+    },
+    "hideObjectDetails": {
+      "label": "Nascondi il percorso dell'oggetto"
+    },
+    "viewTrackingDetails": {
+      "label": "Visualizza i dettagli di tracciamento",
+      "aria": "Mostra i dettagli di tracciamento"
+    },
+    "downloadCleanSnapshot": {
+      "label": "Scarica istantanea pulita",
+      "aria": "Scarica istantanea pulita"
     }
   },
   "dialog": {
     "confirmDelete": {
-      "desc": "L'eliminazione di questo oggetto tracciato rimuove l'istantanea, eventuali incorporamenti salvati e tutte le voci associate al ciclo di vita dell'oggetto. Il filmato registrato di questo oggetto tracciato nella vista Storico <em>NON</em> verrà eliminato.<br /><br />Vuoi davvero procedere?",
+      "desc": "L'eliminazione di questo oggetto tracciato rimuove l'istantanea, eventuali incorporamenti salvati e tutte le voci associate ai dettagli di tracciamento. Il filmato registrato di questo oggetto tracciato nella vista Storico <em>NON</em> verrà eliminato.<br /><br />Vuoi davvero procedere?",
       "title": "Conferma eliminazione"
     }
   },
@@ -211,7 +237,9 @@
         "success": "Oggetto tracciato eliminato correttamente."
       }
     },
-    "tooltip": "Corrispondenza {{type}} al {{confidence}}%"
+    "tooltip": "Corrispondenza {{type}} al {{confidence}}%",
+    "previousTrackedObject": "Oggetto tracciato in precedenza",
+    "nextTrackedObject": "Prossimo oggetto tracciato"
   },
   "trackedObjectsCount_one": "{{count}} oggetto tracciato ",
   "trackedObjectsCount_many": "{{count}} oggetti tracciati ",
@@ -224,5 +252,54 @@
   },
   "concerns": {
     "label": "Preoccupazioni"
+  },
+  "trackingDetails": {
+    "title": "Dettagli di tracciamento",
+    "noImageFound": "Nessuna immagine trovata per questo orario.",
+    "createObjectMask": "Crea maschera oggetto",
+    "adjustAnnotationSettings": "Regola le impostazioni di annotazione",
+    "scrollViewTips": "Clicca per visualizzare i momenti più significativi del ciclo di vita di questo oggetto.",
+    "autoTrackingTips": "Le posizioni dei riquadri di delimitazione saranno imprecise per le telecamere con tracciamento automatico.",
+    "count": "{{first}} di {{second}}",
+    "trackedPoint": "Punto tracciato",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} rilevato",
+      "entered_zone": "{{label}} è entrato in {{zones}}",
+      "active": "{{label}} è diventato attivo",
+      "stationary": "{{label}} è diventato stazionario",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} rilevato per {{label}}",
+        "other": "{{label}} riconosciuto come {{attribute}}"
+      },
+      "gone": "{{label}} lasciato",
+      "heard": "{{label}} sentito",
+      "external": "{{label}} rilevato",
+      "header": {
+        "zones": "Zone",
+        "ratio": "Rapporto",
+        "area": "Area",
+        "score": "Punteggio"
+      }
+    },
+    "annotationSettings": {
+      "title": "Impostazioni di annotazione",
+      "showAllZones": {
+        "title": "Mostra tutte le zone",
+        "desc": "Mostra sempre le zone nei fotogrammi in cui gli oggetti sono entrati in una zona."
+      },
+      "offset": {
+        "label": "Differenza annotazione",
+        "desc": "Questi dati provengono dal flusso di rilevamento della telecamera, ma vengono sovrapposti alle immagini del flusso di registrazione. È improbabile che i due flussi siano perfettamente sincronizzati. Di conseguenza, il riquadro di delimitazione e il filmato non saranno perfettamente allineati. È possibile utilizzare questa impostazione per spostare le annotazioni in avanti o indietro nel tempo per allinearle meglio al filmato registrato.",
+        "millisecondsToOffset": "Millisecondi per compensare il rilevamento delle annotazioni. <em>Predefinito: 0</em>",
+        "tips": "Ridurre il valore se la riproduzione video è in anticipo rispetto ai riquadri e ai punti del percorso, e aumentarlo se la riproduzione video è in ritardo rispetto ad essi. Questo valore può essere negativo.",
+        "toast": {
+          "success": "La differenza dell'annotazione per {{camera}} è stato salvato nel file di configurazione."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Diapositiva precedente",
+      "next": "Diapositiva successiva"
+    }
   }
 }
diff --git a/web/public/locales/it/views/exports.json b/web/public/locales/it/views/exports.json
index 0c42816ef..186647521 100644
--- a/web/public/locales/it/views/exports.json
+++ b/web/public/locales/it/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "Impossibile rinominare l'esportazione: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Condividi esportazione",
+    "downloadVideo": "Scarica video",
+    "editName": "Modifica nome",
+    "deleteExport": "Elimina esportazione"
   }
 }
diff --git a/web/public/locales/it/views/faceLibrary.json b/web/public/locales/it/views/faceLibrary.json
index 54fe6adb0..b40e7fbcf 100644
--- a/web/public/locales/it/views/faceLibrary.json
+++ b/web/public/locales/it/views/faceLibrary.json
@@ -1,7 +1,7 @@
 {
   "selectItem": "Seleziona {{item}}",
   "description": {
-    "addFace": "Procedura per aggiungere una nuova raccolta alla Libreria dei Volti.",
+    "addFace": "Aggiungi una nuova raccolta alla Libreria dei Volti caricando la tua prima immagine.",
     "placeholder": "Inserisci un nome per questa raccolta",
     "invalidName": "Nome non valido. I nomi possono contenere solo lettere, numeri, spazi, apostrofi, caratteri di sottolineatura e trattini."
   },
@@ -16,9 +16,10 @@
     "unknown": "Sconosciuto"
   },
   "train": {
-    "title": "Addestra",
-    "aria": "Seleziona addestramento",
-    "empty": "Non ci sono recenti tentativi di riconoscimento facciale"
+    "title": "Riconoscimenti recenti",
+    "aria": "Seleziona i riconoscimenti recenti",
+    "empty": "Non ci sono recenti tentativi di riconoscimento facciale",
+    "titleShort": "Recente"
   },
   "button": {
     "addFace": "Aggiungi volto",
@@ -38,7 +39,7 @@
       "deletedFace_one": "Eliminato con successo {{count}} volto.",
       "deletedFace_many": "Eliminati con successo {{count}} volti.",
       "deletedFace_other": "Eliminati con successo {{count}} volti.",
-      "updatedFaceScore": "Punteggio del volto aggiornato con successo.",
+      "updatedFaceScore": "Punteggio del volto aggiornato con successo a {{name}} ({{score}}).",
       "uploadedImage": "Immagine caricata correttamente.",
       "addFaceLibrary": "{{name}} è stato aggiunto con successo alla Libreria dei Volti!",
       "renamedFace": "Rinominato correttamente il volto in {{name}}"
@@ -55,7 +56,7 @@
   },
   "imageEntry": {
     "dropActive": "Rilascia l'immagine qui…",
-    "dropInstructions": "Trascina e rilascia un'immagine qui oppure fai clic per selezionarla",
+    "dropInstructions": "Trascina e rilascia o incolla un'immagine qui oppure fai clic per selezionarla",
     "maxSize": "Dimensione massima: {{size}} MB",
     "validation": {
       "selectImage": "Seleziona un file immagine."
@@ -63,7 +64,7 @@
   },
   "createFaceLibrary": {
     "title": "Crea raccolta",
-    "nextSteps": "Per costruire una base solida:<li>Usa la scheda Addestra per selezionare e addestrare le immagini per ogni persona rilevata.</li><li>Concentrati sulle immagini dritte per ottenere risultati migliori; evita di addestrare immagini che catturano i volti da un'angolazione.</li></ul>",
+    "nextSteps": "Per costruire una base solida:<li>Usa la scheda \"Riconoscimenti recenti\" per selezionare e addestrare le immagini per ogni persona rilevata.</li><li>Concentrati sulle immagini dritte per ottenere risultati migliori; evita di addestrare immagini che catturano i volti da un'angolazione.</li></ul>",
     "desc": "Crea una nuova raccolta",
     "new": "Crea nuovo volto"
   },
diff --git a/web/public/locales/it/views/live.json b/web/public/locales/it/views/live.json
index b264fecb7..c32113e66 100644
--- a/web/public/locales/it/views/live.json
+++ b/web/public/locales/it/views/live.json
@@ -12,8 +12,8 @@
   },
   "manualRecording": {
     "recordDisabledTips": "Poiché la registrazione è disabilitata o limitata nella configurazione di questa telecamera, verrà salvata solo un'istantanea.",
-    "title": "Registrazione su richiesta",
-    "tips": "Avvia un evento manuale in base alle impostazioni di conservazione della registrazione di questa telecamera.",
+    "title": "Su richiesta",
+    "tips": "Scarica un'istantanea attuale o avvia un evento manuale in base alle impostazioni di conservazione della registrazione di questa telecamera.",
     "playInBackground": {
       "label": "Riproduci in sottofondo",
       "desc": "Abilita questa opzione per continuare la trasmissione quando il lettore è nascosto."
@@ -147,6 +147,9 @@
     "lowBandwidth": {
       "tips": "La visualizzazione dal vivo è in modalità a bassa larghezza di banda a causa di errori di caricamento o di trasmissione.",
       "resetStream": "Reimposta flusso"
+    },
+    "debug": {
+      "picker": "Selezione del flusso non disponibile in modalità correzioni. La visualizzazione correzioni utilizza sempre il flusso a cui è assegnato il ruolo di rilevamento."
     }
   },
   "effectiveRetainMode": {
@@ -167,5 +170,20 @@
   "transcription": {
     "enable": "Abilita la trascrizione audio in tempo reale",
     "disable": "Disabilita la trascrizione audio in tempo reale"
+  },
+  "noCameras": {
+    "buttonText": "Aggiungi telecamera",
+    "title": "Nessuna telecamera configurata",
+    "description": "Per iniziare, collega una telecamera a Frigate.",
+    "restricted": {
+      "title": "Nessuna telecamera disponibile",
+      "description": "Non hai l'autorizzazione per visualizzare alcuna telecamera in questo gruppo."
+    }
+  },
+  "snapshot": {
+    "takeSnapshot": "Scarica l'istantanea attuale",
+    "noVideoSource": "Nessuna sorgente video disponibile per l'istantanea.",
+    "captureFailed": "Impossibile catturare l'istantanea.",
+    "downloadStarted": "Scaricamento istantanea avviato."
   }
 }
diff --git a/web/public/locales/it/views/search.json b/web/public/locales/it/views/search.json
index 873ef007c..97f8000c1 100644
--- a/web/public/locales/it/views/search.json
+++ b/web/public/locales/it/views/search.json
@@ -25,7 +25,8 @@
       "after": "Dopo",
       "max_speed": "Velocità massima",
       "recognized_license_plate": "Targa riconosciuta",
-      "sub_labels": "Sottoetichette"
+      "sub_labels": "Sottoetichette",
+      "attributes": "Attributi"
     },
     "tips": {
       "desc": {
diff --git a/web/public/locales/it/views/settings.json b/web/public/locales/it/views/settings.json
index 48a1ca0bd..9cdcea5fb 100644
--- a/web/public/locales/it/views/settings.json
+++ b/web/public/locales/it/views/settings.json
@@ -7,10 +7,12 @@
     "masksAndZones": "Editor di maschere e zone - Frigate",
     "motionTuner": "Regolatore di movimento - Frigate",
     "object": "Correzioni - Frigate",
-    "general": "Impostazioni generali - Frigate",
+    "general": "Impostazioni interfaccia - Frigate",
     "frigatePlus": "Impostazioni Frigate+ - Frigate",
     "notifications": "Impostazioni di notifiche - Frigate",
-    "enrichments": "Impostazioni di miglioramento - Frigate"
+    "enrichments": "Impostazioni di miglioramento - Frigate",
+    "cameraManagement": "Gestisci telecamere - Frigate",
+    "cameraReview": "Impostazioni revisione telecamera - Frigate"
   },
   "frigatePlus": {
     "snapshotConfig": {
@@ -141,8 +143,8 @@
       "add": "Nuova maschera di movimento",
       "toast": {
         "success": {
-          "title": "{{polygonName}} è stato salvato. Riavvia Frigate per applicare le modifiche.",
-          "noName": "La maschera di movimento è stata salvata. Riavvia Frigate per applicare le modifiche."
+          "title": "{{polygonName}} è stato salvato.",
+          "noName": "La maschera di movimento è stata salvata."
         }
       }
     },
@@ -153,7 +155,8 @@
           "mustNotBeSameWithCamera": "Il nome della zona non deve essere uguale al nome della telecamera.",
           "mustBeAtLeastTwoCharacters": "Il nome della zona deve essere composto da almeno 2 caratteri.",
           "alreadyExists": "Per questa telecamera esiste già una zona con questo nome.",
-          "mustNotContainPeriod": "Il nome della zona non deve contenere punti."
+          "mustNotContainPeriod": "Il nome della zona non deve contenere punti.",
+          "mustHaveAtLeastOneLetter": "Il nome della zona deve contenere almeno una lettera."
         }
       },
       "distance": {
@@ -236,7 +239,7 @@
       "name": {
         "inputPlaceHolder": "Inserisci un nome…",
         "title": "Nome",
-        "tips": "Il nome deve essere composto da almeno 2 caratteri e non deve essere il nome di una telecamera o di un'altra zona."
+        "tips": "Il nome deve essere composto da almeno 2 caratteri, contenere almeno una lettera e non deve essere il nome di una telecamera o di un'altra zona di questa telecamera."
       },
       "clickDrawPolygon": "Fai clic per disegnare un poligono sull'immagine.",
       "point_one": "{{count}} punto",
@@ -258,7 +261,7 @@
       },
       "allObjects": "Tutti gli oggetti",
       "toast": {
-        "success": "La zona ({{zoneName}}) è stata salvata. Riavvia Frigate per applicare le modifiche."
+        "success": "La zona ({{zoneName}}) è stata salvata."
       }
     },
     "objectMasks": {
@@ -280,8 +283,8 @@
       },
       "toast": {
         "success": {
-          "noName": "La maschera oggetto è stata salvata. Riavvia Frigate per applicare le modifiche.",
-          "title": "{{polygonName}} è stato salvato. Riavvia Frigate per applicare le modifiche."
+          "noName": "La maschera oggetto è stata salvata.",
+          "title": "{{polygonName}} è stato salvato."
         }
       },
       "label": "Maschere di oggetti",
@@ -378,7 +381,10 @@
     "users": "Utenti",
     "frigateplus": "Frigate+",
     "enrichments": "Miglioramenti",
-    "triggers": "Inneschi"
+    "triggers": "Inneschi",
+    "roles": "Ruoli",
+    "cameraManagement": "Gestione",
+    "cameraReview": "Rivedi"
   },
   "users": {
     "dialog": {
@@ -421,7 +427,16 @@
           "title": "Password",
           "placeholder": "Inserisci la password",
           "match": "Le password corrispondono",
-          "notMatch": "Le password non corrispondono"
+          "notMatch": "Le password non corrispondono",
+          "show": "Mostra password",
+          "hide": "Nascondi password",
+          "requirements": {
+            "title": "Requisiti password:",
+            "length": "Almeno 8 caratteri",
+            "uppercase": "Almeno una lettera maiuscola",
+            "digit": "Almeno una cifra",
+            "special": "Almeno un carattere speciale (!@#$%^&*(),.?\":{}|<>)"
+          }
         },
         "newPassword": {
           "title": "Nuova password",
@@ -431,7 +446,11 @@
           }
         },
         "usernameIsRequired": "Il nome utente è obbligatorio",
-        "passwordIsRequired": "La password è obbligatoria"
+        "passwordIsRequired": "La password è obbligatoria",
+        "currentPassword": {
+          "title": "Password attuale",
+          "placeholder": "Inserisci la password attuale"
+        }
       },
       "createUser": {
         "desc": "Aggiungi un nuovo account utente e specifica un ruolo per l'accesso alle aree dell'interfaccia utente di Frigate.",
@@ -444,11 +463,16 @@
         "setPassword": "Imposta password",
         "desc": "Crea una password complessa per proteggere questo account.",
         "cannotBeEmpty": "La password non può essere vuota",
-        "doNotMatch": "Le password non corrispondono"
+        "doNotMatch": "Le password non corrispondono",
+        "currentPasswordRequired": "È richiesta la password attuale",
+        "incorrectCurrentPassword": "La password attuale è errata",
+        "passwordVerificationFailed": "Impossibile verificare la password",
+        "multiDeviceWarning": "Sarà necessario effettuare nuovamente l'accesso su qualsiasi altro dispositivo entro {{refresh_time}}.",
+        "multiDeviceAdmin": "Puoi anche forzare tutti gli utenti a riautenticarsi immediatamente ruotando il tuo segreto JWT."
       }
     },
     "table": {
-      "password": "Password",
+      "password": "Reimposta password",
       "username": "Nome utente",
       "actions": "Azioni",
       "role": "Ruolo",
@@ -476,7 +500,7 @@
       "desc": "Gestisci gli account utente di questa istanza Frigate."
     },
     "addUser": "Aggiungi utente",
-    "updatePassword": "Aggiorna password"
+    "updatePassword": "Reimposta password"
   },
   "general": {
     "liveDashboard": {
@@ -488,9 +512,17 @@
         "label": "Riproduci video di avvisi",
         "desc": "Per impostazione predefinita, gli avvisi recenti nella schermata dal vivo vengono riprodotti come brevi video in ciclo. Disattiva questa opzione per visualizzare solo un'immagine statica degli avvisi recenti su questo dispositivo/browser."
       },
-      "title": "Schermata dal vivo"
+      "title": "Schermata dal vivo",
+      "displayCameraNames": {
+        "label": "Mostra sempre i nomi delle telecamere",
+        "desc": "Mostra sempre i nomi delle telecamere in una scheda nel cruscotto della visualizzazione dal vivo multi telecamera."
+      },
+      "liveFallbackTimeout": {
+        "label": "Scadenza attesa lettore dal vivo",
+        "desc": "Quando la trasmissione dal vivo ad alta qualità di una telecamera non è disponibile, dopo questo numero di secondi torna alla modalità a bassa larghezza di banda. Valore predefinito: 3."
+      }
     },
-    "title": "Impostazioni generali",
+    "title": "Impostazioni interfaccia",
     "storedLayouts": {
       "title": "Formati memorizzati",
       "desc": "La disposizione delle telecamere in un gruppo può essere trascinata/ridimensionata. Le posizioni vengono salvate nella memoria locale del browser.",
@@ -739,7 +771,7 @@
   "triggers": {
     "documentTitle": "Inneschi",
     "management": {
-      "title": "Gestione inneschi",
+      "title": "Inneschi",
       "desc": "Gestisci gli inneschi per {{camera}}. Utilizza il tipo miniatura per attivare miniature simili all'oggetto tracciato selezionato e il tipo descrizione per attivare descrizioni simili al testo specificato."
     },
     "addTrigger": "Aggiungi innesco",
@@ -760,7 +792,9 @@
     },
     "actions": {
       "alert": "Contrassegna come avviso",
-      "notification": "Invia notifica"
+      "notification": "Invia notifica",
+      "sub_label": "Aggiungi sottoetichetta",
+      "attribute": "Aggiungi attributo"
     },
     "dialog": {
       "createTrigger": {
@@ -778,25 +812,28 @@
       "form": {
         "name": {
           "title": "Nome",
-          "placeholder": "Inserisci il nome dell'innesco",
+          "placeholder": "Assegna un nome a questo innesco",
           "error": {
-            "minLength": "Il nome deve essere lungo almeno 2 caratteri.",
-            "invalidCharacters": "Il nome può contenere solo lettere, numeri, caratteri di sottolineatura e trattini.",
+            "minLength": "Il campo deve contenere almeno 2 caratteri.",
+            "invalidCharacters": "Il campo può contenere solo lettere, numeri, caratteri di sottolineatura e trattini.",
             "alreadyExists": "Per questa telecamera esiste già un innesco con questo nome."
-          }
+          },
+          "description": "Inserisci un nome o una descrizione univoca per identificare questo innesco"
         },
         "enabled": {
           "description": "Abilita o disabilita questo innesco"
         },
         "type": {
           "title": "Tipo",
-          "placeholder": "Seleziona il tipo di innesco"
+          "placeholder": "Seleziona il tipo di innesco",
+          "description": "Si attiva quando viene rilevata una descrizione di un oggetto simile tracciato",
+          "thumbnail": "Attiva quando viene rilevata una miniatura di un oggetto simile tracciato"
         },
         "content": {
           "title": "Contenuto",
-          "imagePlaceholder": "Seleziona un'immagine",
+          "imagePlaceholder": "Seleziona una miniatura",
           "textPlaceholder": "Inserisci il contenuto del testo",
-          "imageDesc": "Seleziona un'immagine per attivare questa azione quando viene rilevata un'immagine simile.",
+          "imageDesc": "Vengono visualizzate solo le 100 miniature più recenti. Se non riesci a trovare la miniatura desiderata, controlla gli oggetti precedenti in Esplora e imposta un innesco dal menu.",
           "textDesc": "Inserisci il testo per attivare questa azione quando viene rilevata una descrizione simile dell'oggetto tracciato.",
           "error": {
             "required": "Il contenuto è obbligatorio."
@@ -807,14 +844,20 @@
           "error": {
             "min": "La soglia deve essere almeno 0",
             "max": "La soglia deve essere al massimo 1"
-          }
+          },
+          "desc": "Imposta la soglia di similarità per questo innesco. Una soglia più alta indica che è necessaria una corrispondenza più vicina per attivare l'innesco."
         },
         "actions": {
           "title": "Azioni",
-          "desc": "Per impostazione predefinita, Frigate invia un messaggio MQTT per tutti gli inneschi. Scegli un'azione aggiuntiva da eseguire quando questo innesco si attiva.",
+          "desc": "Per impostazione predefinita, Frigate invia un messaggio MQTT per tutti gli inneschi. Le sottoetichette aggiungono il nome dell'innesco all'etichetta dell'oggetto. Gli attributi sono metadati ricercabili, memorizzati separatamente nei metadati dell'oggetto tracciato.",
           "error": {
             "min": "È necessario selezionare almeno un'azione."
           }
+        },
+        "friendly_name": {
+          "title": "Nome semplice",
+          "placeholder": "Assegna un nome o descrivi questo innesco",
+          "description": "Un nome semplice o un testo descrittivo facoltativo per questo innesco."
         }
       }
     },
@@ -829,6 +872,27 @@
         "updateTriggerFailed": "Impossibile aggiornare l'innesco: {{errorMessage}}",
         "deleteTriggerFailed": "Impossibile eliminare l'innesco: {{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "title": "La ricerca semantica è disabilitata",
+      "desc": "Per utilizzare gli inneschi, è necessario abilitare la ricerca semantica."
+    },
+    "wizard": {
+      "title": "Crea innesco",
+      "step1": {
+        "description": "Configura le impostazioni di base per il tuo innesco."
+      },
+      "step2": {
+        "description": "Imposta il contenuto che attiverà questa azione."
+      },
+      "step3": {
+        "description": "Configura la soglia e le azioni per questo innesco."
+      },
+      "steps": {
+        "nameAndType": "Nome e tipo",
+        "configureData": "Configurare i dati",
+        "thresholdAndActions": "Soglia e azioni"
+      }
     }
   },
   "roles": {
@@ -850,7 +914,9 @@
         "createRole": "Ruolo {{role}} creato con successo",
         "updateCameras": "Telecamere aggiornate per il ruolo {{role}}",
         "deleteRole": "Ruolo {{role}} eliminato con successo",
-        "userRolesUpdated": "{{count}} utenti assegnati a questo ruolo sono stati aggiornati a \"spettatore\", che ha accesso a tutte le telecamere."
+        "userRolesUpdated_one": "{{count}} utente assegnato a questo ruolo è stato aggiornato a \"spettatore\", che ha accesso a tutte le telecamere.",
+        "userRolesUpdated_many": "{{count}} utenti assegnati a questo ruolo sono stati aggiornati a \"spettatore\", che ha accesso a tutte le telecamere.",
+        "userRolesUpdated_other": "{{count}} utenti assegnati a questo ruolo sono stati aggiornati a \"spettatore\", che ha accesso a tutte le telecamere."
       },
       "error": {
         "createRoleFailed": "Impossibile creare il ruolo: {{errorMessage}}",
@@ -890,5 +956,358 @@
         }
       }
     }
+  },
+  "cameraReview": {
+    "title": "Impostazioni revisione telecamera",
+    "object_descriptions": {
+      "title": "Descrizioni oggetti IA generativa",
+      "desc": "Abilita/disabilita temporaneamente le descrizioni degli oggetti generate dall'IA per questa telecamera. Se disabilitate, le descrizioni generate dall'IA non verranno richieste per gli oggetti tracciati su questa telecamera."
+    },
+    "review_descriptions": {
+      "title": "Descrizioni revisioni IA generativa",
+      "desc": "Abilita/disabilita temporaneamente le descrizioni delle revisioni generate dall'IA per questa telecamera. Se disabilitate, le descrizioni generate dall'IA non verranno richieste per gli elementi da rivedere su questa telecamera."
+    },
+    "review": {
+      "title": "Rivedi",
+      "desc": "Abilita/disabilita temporaneamente avvisi e rilevamenti per questa telecamera fino al riavvio di Frigate. Se disabilitato, non verranno generati nuovi elementi di revisione. ",
+      "alerts": "Avvisi ",
+      "detections": "Rilevamenti "
+    },
+    "reviewClassification": {
+      "title": "Classificazione revisione",
+      "desc": "Frigate categorizza gli elementi di revisione come Avvisi e Rilevamenti. Per impostazione predefinita, tutti gli oggetti <em>persona</em> e <em>auto</em> sono considerati Avvisi. È possibile perfezionare la categorizzazione degli elementi di revisione configurando le zone richieste per ciascuno di essi.",
+      "noDefinedZones": "Per questa telecamera non sono definite zone.",
+      "objectAlertsTips": "Tutti gli oggetti {{alertsLabels}} su {{cameraName}} verranno mostrati come Avvisi.",
+      "zoneObjectAlertsTips": "Tutti gli oggetti {{alertsLabels}} rilevati in {{zone}} su {{cameraName}} verranno mostrati come Avvisi.",
+      "objectDetectionsTips": "Tutti gli oggetti {{detectionsLabels}} non categorizzati su {{cameraName}} verranno mostrati come Rilevamenti, indipendentemente dalla zona in cui si trovano.",
+      "zoneObjectDetectionsTips": {
+        "text": "Tutti gli oggetti {{detectionsLabels}} non categorizzati in {{zone}} su {{cameraName}} verranno mostrati come Rilevamenti.",
+        "notSelectDetections": "Tutti gli oggetti {{detectionsLabels}} rilevati in {{zone}} su {{cameraName}} non classificati come Avvisi verranno mostrati come Rilevamenti, indipendentemente dalla zona in cui si trovano.",
+        "regardlessOfZoneObjectDetectionsTips": "Tutti gli oggetti {{detectionsLabels}} non categorizzati su {{cameraName}} verranno mostrati come Rilevamenti, indipendentemente dalla zona in cui si trovano."
+      },
+      "unsavedChanges": "Impostazioni di classificazione delle revisioni non salvate per {{camera}}",
+      "selectAlertsZones": "Seleziona le zone per gli Avvisi",
+      "selectDetectionsZones": "Seleziona le zone per i Rilevamenti",
+      "limitDetections": "Limita i rilevamenti a zone specifiche",
+      "toast": {
+        "success": "La configurazione della classificazione di revisione è stata salvata. Riavvia Frigate per applicare le modifiche."
+      }
+    }
+  },
+  "cameraWizard": {
+    "step3": {
+      "streamUnavailable": "Anteprima trasmissione non disponibile",
+      "description": "Configura i ruoli del flusso e aggiungi altri flussi alla tua telecamera.",
+      "validationTitle": "Convalida del flusso",
+      "connectAllStreams": "Connetti tutti i flussi",
+      "reconnectionSuccess": "Riconnessione riuscita.",
+      "reconnectionPartial": "Alcuni flussi non sono riusciti a riconnettersi.",
+      "reload": "Ricarica",
+      "connecting": "Connessione...",
+      "streamTitle": "Flusso {{number}}",
+      "valid": "Convalida",
+      "failed": "Fallito",
+      "notTested": "Non verificata",
+      "connectStream": "Connetti",
+      "connectingStream": "Connessione",
+      "disconnectStream": "Disconnetti",
+      "estimatedBandwidth": "Larghezza di banda stimata",
+      "roles": "Ruoli",
+      "none": "Nessuno",
+      "error": "Errore",
+      "streamValidated": "Flusso {{number}} convalidato con successo",
+      "streamValidationFailed": "Convalida del flusso {{number}} non riuscita",
+      "saveAndApply": "Salva nuova telecamera",
+      "saveError": "Configurazione non valida. Controlla le impostazioni.",
+      "issues": {
+        "title": "Convalida del flusso",
+        "videoCodecGood": "Il codec video è {{codec}}.",
+        "audioCodecGood": "Il codec audio è {{codec}}.",
+        "noAudioWarning": "Nessun audio rilevato per questo flusso, le registrazioni non avranno audio.",
+        "audioCodecRecordError": "Per supportare l'audio nelle registrazioni è necessario il codec audio AAC.",
+        "audioCodecRequired": "Per supportare il rilevamento audio è necessario un flusso audio.",
+        "restreamingWarning": "Riducendo le connessioni alla telecamera per il flusso di registrazione l'utilizzo della CPU potrebbe aumentare leggermente.",
+        "dahua": {
+          "substreamWarning": "Il flusso 1 è bloccato a bassa risoluzione. Molte telecamere Dahua/Amcrest/EmpireTech supportano flussi aggiuntivi che devono essere abilitati nelle impostazioni della telecamera. Si consiglia di controllare e utilizzare tali flussi, se disponibili."
+        },
+        "hikvision": {
+          "substreamWarning": "Il flusso 1 è bloccato a bassa risoluzione. Molte telecamere Hikvision supportano flussi aggiuntivi che devono essere abilitati nelle impostazioni della telecamera. Si consiglia di controllare e utilizzare tali flussi, se disponibili."
+        },
+        "resolutionHigh": "Una risoluzione di {{resolution}} potrebbe causare un aumento dell'utilizzo delle risorse.",
+        "resolutionLow": "Una risoluzione di {{resolution}} potrebbe essere troppo bassa per un rilevamento affidabile di oggetti di piccole dimensioni."
+      },
+      "ffmpegModule": "Utilizza la modalità di compatibilità della trasmissione",
+      "ffmpegModuleDescription": "Se il flusso non si carica dopo diversi tentativi, prova ad abilitare questa opzione. Se abilitata, Frigate utilizzerà il modulo ffmpeg con go2rtc. Questo potrebbe garantire una migliore compatibilità con alcuni flussi di telecamere.",
+      "streamsTitle": "Flussi della telecamera",
+      "addStream": "Aggiungi flusso",
+      "addAnotherStream": "Aggiungi un altro flusso",
+      "streamUrl": "URL del flusso",
+      "streamUrlPlaceholder": "rtsp://nomeutente:password@sistema:porta/percorso",
+      "selectStream": "Seleziona un flusso",
+      "searchCandidates": "Ricerca candidati in corso...",
+      "noStreamFound": "Nessun flusso trovato",
+      "url": "URL",
+      "resolution": "Risoluzione",
+      "selectResolution": "Seleziona la risoluzione",
+      "quality": "Qualità",
+      "selectQuality": "Seleziona la qualità",
+      "roleLabels": {
+        "detect": "Rilevamento di oggetti",
+        "record": "Registrazione",
+        "audio": "Audio"
+      },
+      "testStream": "Prova di connessione",
+      "testSuccess": "Prova del flusso riuscita!",
+      "testFailed": "Prova del flusso fallita",
+      "testFailedTitle": "Prova fallita",
+      "connected": "Connesso",
+      "notConnected": "Non connesso",
+      "featuresTitle": "Caratteristiche",
+      "go2rtc": "Riduci le connessioni alla telecamera",
+      "detectRoleWarning": "Per procedere, almeno un flusso deve avere il ruolo \"rilevamento\".",
+      "rolesPopover": {
+        "title": "Ruoli del flusso",
+        "detect": "Flusso principale per il rilevamento degli oggetti.",
+        "record": "Salva segmenti del flusso video in base alle impostazioni di configurazione.",
+        "audio": "Flusso per il rilevamento basato sull'audio."
+      },
+      "featuresPopover": {
+        "title": "Caratteristiche del flusso",
+        "description": "Utilizza la ritrasmissione go2rtc per ridurre le connessioni alla tua telecamera."
+      }
+    },
+    "title": "Aggiungi telecamera",
+    "description": "Per aggiungere una nuova telecamera alla tua installazione Frigate, segui i passaggi indicati di seguito.",
+    "steps": {
+      "nameAndConnection": "Nome e connessione",
+      "streamConfiguration": "Configurazione flusso",
+      "validationAndTesting": "Validazione e prova",
+      "probeOrSnapshot": "Analisi o istantanea"
+    },
+    "save": {
+      "success": "Nuova telecamera {{cameraName}} salvata correttamente.",
+      "failure": "Errore durante il salvataggio di {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Risoluzione",
+      "video": "Video",
+      "audio": "Audio",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Fornisci un URL di flusso valido",
+      "testFailed": "Prova del flusso fallita: {{error}}"
+    },
+    "step1": {
+      "description": "Inserisci i dettagli della tua telecamera e scegli se analizzarla o selezionarne manualmente la marca.",
+      "cameraName": "Nome telecamera",
+      "cameraNamePlaceholder": "ad esempio, porta_anteriore o Panoramica cortile",
+      "host": "Indirizzo sistema/IP",
+      "port": "Porta",
+      "username": "Nome utente",
+      "usernamePlaceholder": "Opzionale",
+      "password": "Password",
+      "passwordPlaceholder": "Opzionale",
+      "selectTransport": "Seleziona il protocollo di trasmissione",
+      "cameraBrand": "Marca telecamera",
+      "selectBrand": "Seleziona la marca della telecamera per il modello URL",
+      "customUrl": "URL del flusso personalizzato",
+      "brandInformation": "Informazioni sul marchio",
+      "brandUrlFormat": "Per le telecamere con formato URL RTSP come: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://nomeutente:password@sistema:porta/percorso",
+      "testConnection": "Prova connessione",
+      "testSuccess": "Prova di connessione riuscita!",
+      "testFailed": "Prova di connessione fallita. Controlla i dati immessi e riprova.",
+      "streamDetails": "Dettagli del flusso",
+      "warnings": {
+        "noSnapshot": "Impossibile recuperare un'immagine dal flusso configurato."
+      },
+      "errors": {
+        "brandOrCustomUrlRequired": "Seleziona una marca di telecamera con sistema/IP oppure scegli \"Altro\" con un URL personalizzato",
+        "nameRequired": "Il nome della telecamera è obbligatorio",
+        "nameLength": "Il nome della telecamera deve contenere al massimo 64 caratteri",
+        "invalidCharacters": "Il nome della telecamera contiene caratteri non validi",
+        "nameExists": "Il nome della telecamera esiste già",
+        "brands": {
+          "reolink-rtsp": "Reolink RTSP non è consigliato. Abilita HTTP nelle impostazioni del firmware della telecamera e riavvia la procedura guidata."
+        },
+        "customUrlRtspRequired": "Gli URL personalizzati devono iniziare con \"rtsp://\". Per i flussi di telecamere non RTSP è richiesta la configurazione manuale."
+      },
+      "docs": {
+        "reolink": "https://docs.frigate.video/configuration/camera_specific.html#reolink-cameras"
+      },
+      "testing": {
+        "probingMetadata": "Analisi dei metadati della telecamera in corso...",
+        "fetchingSnapshot": "Recupero istantanea della telecamera in corso..."
+      },
+      "probeMode": "Analisi telecamera",
+      "detectionMethodDescription": "Analizza la telecamera con ONVIF (se supportato) per trovare gli URL dei flussi video della telecamera oppure seleziona manualmente la marca della telecamera per utilizzare URL predefiniti. Per inserire un URL RTSP personalizzato, scegli il metodo manuale e seleziona \"Altro\".",
+      "connectionSettings": "Impostazioni di connessione",
+      "detectionMethod": "Metodo di rilevamento del flusso",
+      "onvifPort": "Porta ONVIF",
+      "manualMode": "Selezione manuale",
+      "onvifPortDescription": "Per le telecamere che supportano ONVIF, in genere è 80 o 8080.",
+      "useDigestAuth": "Utilizza l'autenticazione digest",
+      "useDigestAuthDescription": "Utilizza l'autenticazione HTTP digest per ONVIF. Alcune telecamere potrebbero richiedere un nome utente e una password ONVIF dedicati, anziché l'utente amministratore classico."
+    },
+    "step2": {
+      "description": "Analizza la telecamera per individuare i flussi disponibili oppure configura le impostazioni manuali in base al metodo di rilevamento selezionato.",
+      "streamsTitle": "Flussi della telecamera",
+      "addStream": "Aggiungi flusso",
+      "addAnotherStream": "Aggiungi un altro flusso",
+      "streamTitle": "Flusso {{number}}",
+      "streamUrl": "URL del flusso",
+      "streamUrlPlaceholder": "rtsp://nomeutente:password@sistema:porta/percorso",
+      "url": "URL",
+      "resolution": "Risoluzione",
+      "selectResolution": "Seleziona la risoluzione",
+      "quality": "Qualità",
+      "selectQuality": "Seleziona la qualità",
+      "roles": "Ruoli",
+      "roleLabels": {
+        "detect": "Rilevamento oggetti",
+        "record": "Registrazione",
+        "audio": "Audio"
+      },
+      "testStream": "Prova connessione",
+      "testSuccess": "Prova di connessione riuscita!",
+      "testFailed": "Prova di connessione fallita. Controlla i dati inseriti e riprova.",
+      "testFailedTitle": "Prova fallita",
+      "connected": "Connessa",
+      "notConnected": "Non connessa",
+      "featuresTitle": "Caratteristiche",
+      "go2rtc": "Riduci le connessioni alla telecamera",
+      "detectRoleWarning": "Per procedere, almeno un flusso deve avere il ruolo \"rileva\".",
+      "rolesPopover": {
+        "title": "Ruoli del flusso",
+        "detect": "Flusso principale per il rilevamento degli oggetti.",
+        "record": "Salva segmenti del flusso video in base alle impostazioni di configurazione.",
+        "audio": "Flusso per il rilevamento basato sull'audio."
+      },
+      "featuresPopover": {
+        "title": "Caratteristiche del flusso",
+        "description": "Utilizza la ritrasmissione go2rtc per ridurre le connessioni alla tua telecamera."
+      },
+      "probeFailed": "Impossibile analizzare la telecamera: {{error}}",
+      "probeSuccessful": "Analisi riuscita",
+      "probeError": "Errore analisi",
+      "probeNoSuccess": "Analisi non riuscita",
+      "rtspCandidatesDescription": "I seguenti URL RTSP sono stati trovati dall'analisi della telecamera. Prova la connessione per visualizzare i metadati della trasmissione.",
+      "streamDetails": "Dettagli del flusso",
+      "probing": "Analisi telecamera in corso...",
+      "retry": "Riprova",
+      "testing": {
+        "probingMetadata": "Analisi dei metadati della telecamera in corso...",
+        "fetchingSnapshot": "Recupero dell'istantanea della telecamera in corso..."
+      },
+      "probingDevice": "Analisi del dispositivo in corso...",
+      "deviceInfo": "Informazioni sul dispositivo",
+      "manufacturer": "Produttore",
+      "model": "Modello",
+      "firmware": "Firmware",
+      "profiles": "Profili",
+      "ptzSupport": "Supporto PTZ",
+      "autotrackingSupport": "Supporto per il tracciamento automatico",
+      "presets": "Preimpostazioni",
+      "rtspCandidates": "Candidati RTSP",
+      "noRtspCandidates": "Nessun URL RTSP trovato dalla telecamera. Le credenziali potrebbero essere errate oppure la telecamera potrebbe non supportare ONVIF o il metodo utilizzato per recuperare gli URL RTSP. Torna indietro e inserisci manualmente l'URL RTSP.",
+      "candidateStreamTitle": "Candidato {{number}}}}",
+      "useCandidate": "Utilizza",
+      "uriCopy": "Copia",
+      "uriCopied": "URI copiato negli appunti",
+      "testConnection": "Prova di connessione",
+      "toggleUriView": "Fai clic per attivare/disattivare la visualizzazione completa dell'URI",
+      "errors": {
+        "hostRequired": "È richiesto il nome sistema/indirizzo IP"
+      }
+    },
+    "step4": {
+      "description": "Convalida e analisi finale prima di salvare la nuova telecamera. Collega ogni flusso prima di salvare.",
+      "validationTitle": "Validazione del flusso",
+      "connectAllStreams": "Connetti tutti i flussi",
+      "reconnectionSuccess": "Riconnessione riuscita.",
+      "reconnectionPartial": "Alcuni flussi non sono riusciti a riconnettersi.",
+      "streamUnavailable": "Anteprima del flusso non disponibile",
+      "reload": "Ricarica",
+      "connecting": "Connessione in corso...",
+      "streamTitle": "Flusso {{number}}",
+      "valid": "Valida",
+      "failed": "Fallito",
+      "notTested": "Non verificato",
+      "connectStream": "Connetti",
+      "connectingStream": "Connessione in corso",
+      "disconnectStream": "Disconnetti",
+      "estimatedBandwidth": "Larghezza di banda stimata",
+      "roles": "Ruoli",
+      "ffmpegModule": "Utilizza la modalità di compatibilità del flusso",
+      "ffmpegModuleDescription": "Se il flusso non si carica dopo diversi tentativi, prova ad abilitare questa opzione. Se abilitata, Frigate utilizzerà il modulo ffmpeg con go2rtc. Questo potrebbe garantire una migliore compatibilità con alcuni flussi di telecamere.",
+      "none": "Nessuno",
+      "error": "Errore",
+      "streamValidated": "Flusso {{number}} convalidato con successo",
+      "streamValidationFailed": "Convalida del flusso {{number}} non riuscita",
+      "saveAndApply": "Salva nuova telecamera",
+      "saveError": "Configurazione non valida. Controlla le impostazioni.",
+      "issues": {
+        "title": "Validazione del flusso",
+        "videoCodecGood": "Il codec video è {{codec}}.",
+        "audioCodecGood": "Il codec audio è {{codec}}.",
+        "resolutionHigh": "Una risoluzione di {{resolution}} potrebbe causare un aumento dell'utilizzo delle risorse.",
+        "resolutionLow": "Una risoluzione di {{resolution}} potrebbe essere troppo bassa per un rilevamento affidabile di oggetti di piccole dimensioni.",
+        "noAudioWarning": "Nessun audio rilevato per questo flusso, le registrazioni non avranno audio.",
+        "audioCodecRecordError": "Per supportare l'audio nelle registrazioni è necessario il codec audio AAC.",
+        "audioCodecRequired": "Per supportare il rilevamento audio è necessario un flusso audio.",
+        "restreamingWarning": "Riducendo le connessioni alla telecamera per il flusso di registrazione l'utilizzo della CPU potrebbe aumentare leggermente.",
+        "brands": {
+          "reolink-rtsp": "Reolink RTSP non è consigliato. Abilita HTTP nelle impostazioni del firmware della telecamera e riavvia la procedura guidata.",
+          "reolink-http": "I flussi HTTP di Reolink dovrebbero utilizzare FFmpeg per una migliore compatibilità. Abilita \"Usa modalità compatibilità flusso\" per questo flusso."
+        },
+        "dahua": {
+          "substreamWarning": "Il sottoflusso 1 è bloccato a bassa risoluzione. Molte telecamere Dahua/Amcrest/EmpireTech supportano sottoflussi aggiuntivi che devono essere abilitati nelle impostazioni della telecamera. Si consiglia di controllare e utilizzare tali flussi, se disponibili."
+        },
+        "hikvision": {
+          "substreamWarning": "Il sottoflusso 1 è bloccato a bassa risoluzione. Molte telecamere Hikvision supportano sottoflussi aggiuntivi che devono essere abilitati nelle impostazioni della telecamera. Si consiglia di controllare e utilizzare tali flussi, se disponibili."
+        }
+      }
+    }
+  },
+  "cameraManagement": {
+    "title": "Gestisci telecamere",
+    "addCamera": "Aggiungi nuova telecamera",
+    "editCamera": "Modifica telecamera:",
+    "selectCamera": "Seleziona una telecamera",
+    "backToSettings": "Torna alle impostazioni della telecamera",
+    "streams": {
+      "title": "Abilita/Disabilita telecamere",
+      "desc": "Disattiva temporaneamente una telecamera fino al riavvio di Frigate. La disattivazione completa di una telecamera interrompe l'elaborazione dei flussi di questa telecamera da parte di Frigate. Rilevamento, registrazione e correzioni non saranno disponibili.<br /> <em>Nota: questa operazione non disattiva le ritrasmissioni di go2rtc.</em>"
+    },
+    "cameraConfig": {
+      "add": "Aggiungi telecamera",
+      "edit": "Modifica telecamera",
+      "description": "Configura le impostazioni della telecamera, inclusi gli ingressi ed i ruoli dei flussi.",
+      "name": "Nome telecamera",
+      "nameRequired": "Il nome della telecamera è obbligatorio",
+      "nameLength": "Il nome della telecamera deve contenere al massimo 64 caratteri.",
+      "namePlaceholder": "ad esempio, porta_anteriore o Panoramica cortile",
+      "toast": {
+        "success": "La telecamera {{cameraName}} è stata salvata correttamente"
+      },
+      "enabled": "Abilitata",
+      "ffmpeg": {
+        "inputs": "Flussi di ingresso",
+        "path": "Percorso del flusso",
+        "pathRequired": "Il percorso del flusso è obbligatorio",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "Ruoli",
+        "rolesRequired": "È richiesto almeno un ruolo",
+        "rolesUnique": "Ogni ruolo (audio, rilevamento, registrazione) può essere assegnato solo ad un flusso",
+        "addInput": "Aggiungi flusso di ingresso",
+        "removeInput": "Rimuovi flusso di ingresso",
+        "inputsRequired": "È richiesto almeno un flusso di ingresso"
+      },
+      "go2rtcStreams": "Flussi go2rtc",
+      "streamUrls": "URL dei flussi",
+      "addUrl": "Aggiungi URL",
+      "addGo2rtcStream": "Aggiungi flusso go2rtc"
+    }
   }
 }
diff --git a/web/public/locales/it/views/system.json b/web/public/locales/it/views/system.json
index 695b83213..d5e92543b 100644
--- a/web/public/locales/it/views/system.json
+++ b/web/public/locales/it/views/system.json
@@ -65,7 +65,12 @@
       "gpuUsage": "Utilizzo GPU",
       "gpuMemory": "Memoria GPU",
       "npuUsage": "Utilizzo NPU",
-      "npuMemory": "Memoria NPU"
+      "npuMemory": "Memoria NPU",
+      "intelGpuWarning": {
+        "title": "Avviso statistiche GPU Intel",
+        "message": "Statistiche GPU non disponibili",
+        "description": "Si tratta di un problema noto negli strumenti di reportistica delle statistiche GPU di Intel (intel_gpu_top), che si interrompe e restituisce ripetutamente un utilizzo della GPU pari a 0% anche nei casi in cui l'accelerazione hardware e il rilevamento degli oggetti funzionano correttamente sulla (i)GPU. Non si tratta di un problema di Frigate. È possibile riavviare il sistema per risolvere temporaneamente il problema e verificare che la GPU funzioni correttamente. Ciò non influisce sulle prestazioni."
+      }
     },
     "detector": {
       "inferenceSpeed": "Velocità inferenza rilevatore",
@@ -79,7 +84,14 @@
     "otherProcesses": {
       "title": "Altri processi",
       "processCpuUsage": "Utilizzo CPU processo",
-      "processMemoryUsage": "Utilizzo memoria processo"
+      "processMemoryUsage": "Utilizzo memoria processo",
+      "series": {
+        "go2rtc": "go2rtc",
+        "recording": "registrazione",
+        "review_segment": "segmento di revisione",
+        "embeddings": "incorporamenti",
+        "audio_detector": "rilevatore audio"
+      }
     }
   },
   "enrichments": {
@@ -94,16 +106,26 @@
       "yolov9_plate_detection_speed": "Velocità di rilevamento della targa con YOLOv9",
       "yolov9_plate_detection": "Rilevamento della targa con YOLOv9",
       "image_embedding": "Incorporamento di immagini",
-      "text_embedding": "Incorporamento di testo"
+      "text_embedding": "Incorporamento di testo",
+      "review_description": "Descrizione della revisione",
+      "review_description_speed": "Velocità della descrizione di revisione",
+      "review_description_events_per_second": "Descrizione della revisione",
+      "object_description": "Descrizione dell'oggetto",
+      "object_description_speed": "Velocità della descrizione dell'oggetto",
+      "object_description_events_per_second": "Descrizione dell'oggetto",
+      "classification": "Classificazione {{name}}",
+      "classification_speed": "Velocità di classificazione {{name}}",
+      "classification_events_per_second": "Eventi di classificazione {{name}} al secondo"
     },
     "title": "Miglioramenti",
-    "infPerSecond": "Inferenze al secondo"
+    "infPerSecond": "Inferenze al secondo",
+    "averageInf": "Tempo medio di inferenza"
   },
   "cameras": {
     "info": {
       "fetching": "Recupero dati della telecamera",
       "streamDataFromFFPROBE": "I dati del flusso vengono ottenuti con <code>ffprobe</code>.",
-      "cameraProbeInfo": "Informazioni flussi telecamera {{camera}}",
+      "cameraProbeInfo": "Informazioni analisi telecamera {{camera}}",
       "stream": "Flusso {{idx}}",
       "video": "Video:",
       "codec": "Codec:",
@@ -113,7 +135,7 @@
       "audio": "Audio:",
       "error": "Errore: {{error}}",
       "tips": {
-        "title": "Informazioni flussi telecamera"
+        "title": "Informazioni analisi telecamera"
       },
       "aspectRatio": "rapporto d'aspetto"
     },
diff --git a/web/public/locales/ja/audio.json b/web/public/locales/ja/audio.json
index c546c09b2..43811ed76 100644
--- a/web/public/locales/ja/audio.json
+++ b/web/public/locales/ja/audio.json
@@ -57,7 +57,7 @@
   "animal": "動物",
   "pets": "ペット",
   "dog": "犬",
-  "bark": "樹皮",
+  "bark": "吠え声",
   "yip": "キャンキャン鳴く声",
   "howl": "遠吠え",
   "bow_wow": "ワンワン",
@@ -425,5 +425,79 @@
   "television": "テレビ",
   "radio": "ラジオ",
   "field_recording": "フィールド録音",
-  "scream": "悲鳴"
+  "scream": "悲鳴",
+  "sodeling": "ソデリング",
+  "chird": "チャープ",
+  "change_ringing": "着信音の変更",
+  "shofar": "ショファー",
+  "liquid": "液体",
+  "splash": "水しぶき",
+  "slosh": "水が揺れる音",
+  "squish": "ぐちゃっという音",
+  "drip": "滴る音",
+  "pour": "注ぐ",
+  "trickle": "ちょろちょろ流れる音",
+  "gush": "勢いよく噴き出す",
+  "fill": "満たす",
+  "spray": "噴霧",
+  "pump": "ポンプ",
+  "stir": "かき混ぜる",
+  "boiling": "沸騰",
+  "sonar": "ソナー",
+  "arrow": "矢",
+  "whoosh": "ヒューという音",
+  "thump": "ドンという音",
+  "thunk": "鈍い衝撃音",
+  "electronic_tuner": "電子チューナー",
+  "effects_unit": "エフェクター",
+  "chorus_effect": "コーラス効果",
+  "basketball_bounce": "バスケットボールのバウンド",
+  "bang": "バンという音",
+  "slap": "平手打ち",
+  "whack": "強打",
+  "smash": "粉砕",
+  "breaking": "破壊",
+  "bouncing": "跳ねる音",
+  "whip": "ムチの音",
+  "flap": "はためく音",
+  "scratch": "引っかく音",
+  "scrape": "こする音",
+  "rub": "こする",
+  "roll": "転がる",
+  "crushing": "押しつぶす",
+  "crumpling": "くしゃくしゃにする音",
+  "tearing": "引き裂く音",
+  "beep": "ビープ音",
+  "ping": "ピン音",
+  "ding": "ディン音",
+  "clang": "金属音",
+  "squeal": "きしむ音",
+  "creak": "きしみ",
+  "rustle": "かさかさ音",
+  "whir": "ブーンという音",
+  "clatter": "ガタガタ音",
+  "sizzle": "ジュージュー音",
+  "clicking": "クリック音",
+  "clickety_clack": "カチカチ音",
+  "rumble": "ゴロゴロ音",
+  "plop": "ポチャン",
+  "hum": "ハム音",
+  "zing": "ジーン音",
+  "boing": "ボイン音",
+  "crunch": "バリバリ音",
+  "sine_wave": "正弦波",
+  "harmonic": "倍音",
+  "chirp_tone": "チャープ音",
+  "pulse": "パルス",
+  "inside": "内側",
+  "outside": "外側",
+  "reverberation": "残響",
+  "echo": "エコー",
+  "noise": "ノイズ",
+  "mains_hum": "電源ハム",
+  "distortion": "歪み",
+  "sidetone": "サイドトーン",
+  "cacophony": "不協和音",
+  "throbbing": "脈動",
+  "vibration": "振動"
 }
diff --git a/web/public/locales/ja/common.json b/web/public/locales/ja/common.json
index 90eeba7ef..7cef62aa5 100644
--- a/web/public/locales/ja/common.json
+++ b/web/public/locales/ja/common.json
@@ -66,7 +66,10 @@
     "formattedTimestampFilename": {
       "12hour": "MM-dd-yy-h-mm-ss-a",
       "24hour": "MM-dd-yy-HH-mm-ss"
-    }
+    },
+    "inProgress": "処理中",
+    "invalidStartTime": "開始時刻が無効です",
+    "invalidEndTime": "終了時刻が無効です"
   },
   "readTheDocumentation": "ドキュメントを見る",
   "unit": {
@@ -77,10 +80,23 @@
     "length": {
       "feet": "フィート",
       "meters": "メートル"
+    },
+    "data": {
+      "gbph": "GB/hour",
+      "gbps": "GB/s",
+      "kbph": "kB/hour",
+      "kbps": "kB/s",
+      "mbph": "MB/hour",
+      "mbps": "MB/s"
     }
   },
   "label": {
-    "back": "戻る"
+    "back": "戻る",
+    "hide": "{{item}} を非表示",
+    "show": "{{item}} を表示",
+    "ID": "ID",
+    "none": "なし",
+    "all": "すべて"
   },
   "button": {
     "apply": "適用",
@@ -117,7 +133,8 @@
     "unselect": "選択解除",
     "export": "書き出し",
     "deleteNow": "今すぐ削除",
-    "next": "次へ"
+    "next": "次へ",
+    "continue": "続行"
   },
   "menu": {
     "system": "システム",
@@ -216,7 +233,8 @@
       "withSystem": {
         "label": "システム設定に従う"
       }
-    }
+    },
+    "classification": "分類"
   },
   "toast": {
     "copyUrlToClipboard": "URLをクリップボードにコピーしました。",
@@ -256,5 +274,17 @@
     "title": "404",
     "desc": "ページが見つかりません"
   },
-  "selectItem": "{{item}} を選択"
+  "selectItem": "{{item}} を選択",
+  "information": {
+    "pixels": "{{area}}ピクセル"
+  },
+  "list": {
+    "two": "{{0}} と {{1}}",
+    "many": "{{items}}と {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "任意",
+    "internalID": "Frigate が設定で使用する内部 ID です"
+  }
 }
diff --git a/web/public/locales/ja/components/auth.json b/web/public/locales/ja/components/auth.json
index b9ff98325..d767e3282 100644
--- a/web/public/locales/ja/components/auth.json
+++ b/web/public/locales/ja/components/auth.json
@@ -10,6 +10,7 @@
       "loginFailed": "ログインに失敗しました",
       "unknownError": "不明なエラー。ログを確認してください。",
       "webUnknownError": "不明なエラー。コンソールログを確認してください。"
-    }
+    },
+    "firstTimeLogin": "初めてログインしますか？認証情報は Frigate のログに表示されています。"
   }
 }
diff --git a/web/public/locales/ja/components/dialog.json b/web/public/locales/ja/components/dialog.json
index c97fc475b..629474548 100644
--- a/web/public/locales/ja/components/dialog.json
+++ b/web/public/locales/ja/components/dialog.json
@@ -51,12 +51,13 @@
     "export": "書き出し",
     "selectOrExport": "選択または書き出し",
     "toast": {
-      "success": "書き出しを開始しました。/exports フォルダでファイルを確認できます。",
+      "success": "書き出しを開始しました。出力ページでファイルを確認できます。",
       "error": {
         "failed": "書き出しの開始に失敗しました: {{error}}",
         "endTimeMustAfterStartTime": "終了時間は開始時間より後である必要があります",
         "noVaildTimeSelected": "有効な時間範囲が選択されていません"
-      }
+      },
+      "view": "表示"
     },
     "fromTimeline": {
       "saveExport": "書き出しを保存",
@@ -105,7 +106,8 @@
     "button": {
       "export": "書き出し",
       "markAsReviewed": "レビュー済みにする",
-      "deleteNow": "今すぐ削除"
+      "deleteNow": "今すぐ削除",
+      "markAsUnreviewed": "未レビューに戻す"
     }
   },
   "imagePicker": {
@@ -113,6 +115,7 @@
     "search": {
       "placeholder": "ラベルまたはサブラベルで検索…"
     },
-    "noImages": "このカメラのサムネイルは見つかりません"
+    "noImages": "このカメラのサムネイルは見つかりません",
+    "unknownLabel": "保存済みトリガー画像"
   }
 }
diff --git a/web/public/locales/ja/components/filter.json b/web/public/locales/ja/components/filter.json
index 66a52a29e..bbcc3149d 100644
--- a/web/public/locales/ja/components/filter.json
+++ b/web/public/locales/ja/components/filter.json
@@ -132,5 +132,9 @@
     "selectPlatesFromList": "リストから1件以上選択してください。",
     "selectAll": "すべて選択",
     "clearAll": "すべてクリア"
+  },
+  "attributes": {
+    "label": "分類属性",
+    "all": "すべての属性"
   }
 }
diff --git a/web/public/locales/ja/objects.json b/web/public/locales/ja/objects.json
index c8b24e800..c3e41af3f 100644
--- a/web/public/locales/ja/objects.json
+++ b/web/public/locales/ja/objects.json
@@ -6,7 +6,7 @@
   "airplane": "飛行機",
   "animal": "動物",
   "dog": "犬",
-  "bark": "樹皮",
+  "bark": "吠え声",
   "cat": "猫",
   "horse": "馬",
   "goat": "ヤギ",
diff --git a/web/public/locales/ja/views/classificationModel.json b/web/public/locales/ja/views/classificationModel.json
new file mode 100644
index 000000000..e16f1fce5
--- /dev/null
+++ b/web/public/locales/ja/views/classificationModel.json
@@ -0,0 +1,182 @@
+{
+  "documentTitle": "分類モデル - Frigate",
+  "button": {
+    "deleteImages": "画像を削除",
+    "deleteClassificationAttempts": "分類画像を削除",
+    "renameCategory": "クラス名を変更",
+    "deleteCategory": "クラスを削除",
+    "trainModel": "モデルを学習",
+    "addClassification": "分類を追加",
+    "deleteModels": "モデルを削除",
+    "editModel": "モデルを編集"
+  },
+  "toast": {
+    "success": {
+      "deletedImage": "削除された画像",
+      "categorizedImage": "画像の分類に成功しました",
+      "trainedModel": "モデルを正常に学習させました。",
+      "trainingModel": "モデルのトレーニングを正常に開始しました。",
+      "deletedCategory": "クラスを削除しました",
+      "deletedModel_other": "{{count}} 件のモデルを削除しました",
+      "updatedModel": "モデル設定を更新しました",
+      "renamedCategory": "クラス名を {{name}} に変更しました"
+    },
+    "error": {
+      "deleteImageFailed": "削除に失敗しました: {{errorMessage}}",
+      "deleteCategoryFailed": "クラスの削除に失敗しました: {{errorMessage}}",
+      "deleteModelFailed": "モデルの削除に失敗しました: {{errorMessage}}",
+      "categorizeFailed": "画像の分類に失敗しました: {{errorMessage}}",
+      "trainingFailed": "モデルの学習に失敗しました。Frigate のログを確認してください。",
+      "trainingFailedToStart": "モデルの学習を開始できませんでした: {{errorMessage}}",
+      "updateModelFailed": "モデルの更新に失敗しました: {{errorMessage}}",
+      "renameCategoryFailed": "クラス名の変更に失敗しました: {{errorMessage}}"
+    }
+  },
+  "train": {
+    "titleShort": "Classifications,最近の分類結果を選択,,False,train.aria,,",
+    "title": "最近の分類結果",
+    "aria": "最近の分類結果を選択"
+  },
+  "wizard": {
+    "step1": {
+      "typeObject": "Classification",
+      "typeState": "Classification",
+      "description": "状態モデルは固定カメラ領域の状態変化（例：ドアの開閉）を監視し、オブジェクトモデルは検出されたオブジェクトに分類（例：既知の動物や配達員など）を追加します。",
+      "name": "名前",
+      "namePlaceholder": "モデル名を入力...",
+      "type": "タイプ",
+      "objectLabel": "オブジェクトラベル",
+      "objectLabelPlaceholder": "オブジェクトタイプを選択...",
+      "classificationType": "分類タイプ",
+      "classificationTypeTip": "分類タイプについて",
+      "classificationTypeDesc": "サブラベルはオブジェクトのラベルに追加のテキストを追加します（例：「人: UPS」）。属性は、オブジェクトのメタデータとは別に保存される、検索可能なメタデータです。",
+      "classificationSubLabel": "サブラベル",
+      "classificationAttribute": "属性",
+      "classes": "クラス",
+      "states": "状態",
+      "classesTip": "クラスについて",
+      "classesStateDesc": "カメラ領域の状態を定義します。例: ガレージドアの「開」「閉」。",
+      "classesObjectDesc": "検出されたオブジェクトを分類するための、異なるカテゴリを定義します。例：人物の分類として「delivery_person」「resident」「stranger」など。",
+      "classPlaceholder": "クラス名を入力...",
+      "errors": {
+        "nameRequired": "モデル名は必須です",
+        "nameLength": "モデル名は 64 文字以内で入力してください",
+        "nameOnlyNumbers": "モデル名を数字のみにはできません",
+        "classRequired": "少なくとも 1 つのクラスが必要です",
+        "classesUnique": "クラス名は一意である必要があります",
+        "noneNotAllowed": "「none」というクラス名は使用できません",
+        "stateRequiresTwoClasses": "状態モデルには少なくとも 2 つのクラスが必要です",
+        "objectLabelRequired": "オブジェクトラベルを選択してください",
+        "objectTypeRequired": "分類タイプを選択してください"
+      }
+    },
+    "title": "新しい分類を作成",
+    "steps": {
+      "nameAndDefine": "名前と定義",
+      "stateArea": "状態エリア",
+      "chooseExamples": "例を選択"
+    },
+    "step2": {
+      "description": "カメラを選択し、それぞれの監視エリアを定義します。モデルはこれらのエリアの状態を分類します。",
+      "cameras": "カメラ",
+      "selectCamera": "カメラを選択",
+      "noCameras": "+ をクリックしてカメラを追加",
+      "selectCameraPrompt": "リストからカメラを選択して監視エリアを定義します"
+    },
+    "step3": {
+      "selectImagesPrompt": "{{className}} の画像をすべて選択",
+      "selectImagesDescription": "画像をクリックして選択します。このクラスの作業が完了したら「続行」をクリックしてください。",
+      "allImagesRequired_other": "すべての画像を分類してください。残り {{count}} 枚です。",
+      "generating": {
+        "title": "サンプル画像を生成中",
+        "description": "Frigate が録画から代表的な画像を抽出しています。しばらくお待ちください..."
+      },
+      "training": {
+        "title": "モデルを学習中",
+        "description": "モデルはバックグラウンドで学習されています。このダイアログを閉じると、学習完了後すぐにモデルが有効になります。"
+      },
+      "retryGenerate": "再生成",
+      "noImages": "サンプル画像が生成されませんでした",
+      "classifying": "分類・学習中...",
+      "trainingStarted": "学習を開始しました",
+      "modelCreated": "モデルを作成しました。不足している状態の画像を「最近の分類」から追加し、モデルを学習してください。",
+      "errors": {
+        "noCameras": "カメラが設定されていません",
+        "noObjectLabel": "オブジェクトラベルが選択されていません",
+        "generateFailed": "例の生成に失敗しました: {{error}}",
+        "generationFailed": "生成に失敗しました。もう一度お試しください。",
+        "classifyFailed": "画像の分類に失敗しました: {{error}}"
+      },
+      "generateSuccess": "サンプル画像を生成しました",
+      "missingStatesWarning": {
+        "title": "状態の例が不足しています",
+        "description": "最良の結果を得るため、すべての状態の例を選択することを推奨します。すべてを選択しなくても続行できますが、全状態に画像が揃うまでモデルは学習されません。続行後、「最近の分類」から不足分を分類し、学習を行ってください。"
+      }
+    }
+  },
+  "details": {
+    "scoreInfo": "このスコアは、このオブジェクトに対するすべての検出結果の分類信頼度の平均を表します。",
+    "none": "なし",
+    "unknown": "不明"
+  },
+  "tooltip": {
+    "trainingInProgress": "モデルは現在学習中です",
+    "noNewImages": "学習に使用できる新しい画像がありません。先にデータセット内の画像を分類してください。",
+    "noChanges": "前回の学習以降、データセットに変更はありません。",
+    "modelNotReady": "モデルはまだ学習可能な状態ではありません"
+  },
+  "deleteCategory": {
+    "title": "クラスを削除",
+    "desc": "クラス {{name}} を削除してもよろしいですか？関連するすべての画像が完全に削除され、モデルの再学習が必要になります。",
+    "minClassesTitle": "クラスを削除できません",
+    "minClassesDesc": "分類モデルには少なくとも 2 つのクラスが必要です。別のクラスを追加してから削除してください。"
+  },
+  "deleteModel": {
+    "title": "分類モデルを削除",
+    "single": "{{name}} を削除してもよろしいですか？画像や学習データを含むすべての関連データが完全に削除され、この操作は元に戻せません。",
+    "desc_other": "{{count}} 件のモデルを削除してもよろしいですか？関連するすべてのデータが完全に削除され、この操作は元に戻せません。"
+  },
+  "edit": {
+    "title": "分類モデルを編集",
+    "descriptionState": "この状態分類モデルのクラスを編集します。変更を反映するにはモデルの再学習が必要です。",
+    "descriptionObject": "このオブジェクト分類モデルのオブジェクトタイプおよび分類タイプを編集します。",
+    "stateClassesInfo": "注意: 状態クラスを変更すると、更新後のクラスでモデルを再学習する必要があります。"
+  },
+  "deleteDatasetImages": {
+    "title": "データセット画像を削除",
+    "desc_other": "{{dataset}} から {{count}} 枚の画像を削除してもよろしいですか？この操作は元に戻せず、モデルの再学習が必要になります。"
+  },
+  "deleteTrainImages": {
+    "title": "学習用画像を削除",
+    "desc_other": "{{count}} 枚の画像を削除してもよろしいですか？この操作は元に戻すことができません。"
+  },
+  "renameCategory": {
+    "title": "クラス名を変更",
+    "desc": "{{name}} の新しい名前を入力してください。変更を有効にするにはモデルの再学習が必要です。"
+  },
+  "description": {
+    "invalidName": "無効な名前です。使用できるのは、英数字、空白、アポストロフィ、アンダースコア、ハイフンのみです。"
+  },
+  "categories": "クラス",
+  "createCategory": {
+    "new": "新しいクラスを作成"
+  },
+  "categorizeImageAs": "画像を次として分類:",
+  "categorizeImage": "画像を分類",
+  "menu": {
+    "objects": "オブジェクト",
+    "states": "状態"
+  },
+  "noModels": {
+    "object": {
+      "title": "オブジェクト分類モデルがありません",
+      "description": "検出されたオブジェクトを分類するためのカスタムモデルを作成します。",
+      "buttonText": "オブジェクトモデルを作成"
+    },
+    "state": {
+      "title": "状態分類モデルがありません",
+      "description": "特定のカメラ領域の状態変化を監視・分類するためのカスタムモデルを作成します。",
+      "buttonText": "状態モデルを作成"
+    }
+  }
+}
diff --git a/web/public/locales/ja/views/events.json b/web/public/locales/ja/views/events.json
index b19ad9553..544412974 100644
--- a/web/public/locales/ja/views/events.json
+++ b/web/public/locales/ja/views/events.json
@@ -8,7 +8,11 @@
   "empty": {
     "detection": "レビューする検出はありません",
     "alert": "レビューするアラートはありません",
-    "motion": "モーションデータは見つかりません"
+    "motion": "モーションデータは見つかりません",
+    "recordingsDisabled": {
+      "title": "録画を有効にする必要があります",
+      "description": "カメラの録画が有効になっている場合にのみ、そのカメラに対してレビューアイテムを作成できます。"
+    }
   },
   "camera": "カメラ",
   "allCameras": "全カメラ",
@@ -36,5 +40,28 @@
   "selected_other": "{{count}} 件選択",
   "detected": "検出",
   "suspiciousActivity": "不審なアクティビティ",
-  "threateningActivity": "脅威となるアクティビティ"
+  "threateningActivity": "脅威となるアクティビティ",
+  "zoomIn": "ズームイン",
+  "zoomOut": "ズームアウト",
+  "detail": {
+    "label": "詳細",
+    "noDataFound": "確認する詳細データはありません",
+    "aria": "詳細表示を切り替え",
+    "trackedObject_one": "{{count}} 件のオブジェクト",
+    "trackedObject_other": "{{count}} 件のオブジェクト",
+    "noObjectDetailData": "オブジェクトの詳細データがありません。",
+    "settings": "詳細表示設定",
+    "alwaysExpandActive": {
+      "title": "アクティブ項目を常に展開",
+      "desc": "利用可能な場合、アクティブなレビュー項目のオブジェクト詳細を常に展開する。"
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "追跡ポイント",
+    "clickToSeek": "クリックしてこの時点に移動"
+  },
+  "select_all": "すべて",
+  "normalActivity": "通常",
+  "needsReview": "要確認",
+  "securityConcern": "セキュリティ上の懸念"
 }
diff --git a/web/public/locales/ja/views/explore.json b/web/public/locales/ja/views/explore.json
index 5be336cfa..35265cc50 100644
--- a/web/public/locales/ja/views/explore.json
+++ b/web/public/locales/ja/views/explore.json
@@ -19,13 +19,15 @@
           "regenerate": "{{provider}} に新しい説明をリクエストしました。プロバイダの速度により再生成に時間がかかる場合があります。",
           "updatedSublabel": "サブラベルを更新しました。",
           "updatedLPR": "ナンバープレートを更新しました。",
-          "audioTranscription": "音声文字起こしをリクエストしました。"
+          "audioTranscription": "音声文字起こしのリクエストは正常に送信されました。Frigate サーバーの処理速度によっては、文字起こしの完了までにしばらく時間がかかる場合があります。",
+          "updatedAttributes": "属性が正常に更新されました。"
         },
         "error": {
           "regenerate": "{{provider}} への新しい説明の呼び出しに失敗しました: {{errorMessage}}",
           "updatedSublabelFailed": "サブラベルの更新に失敗しました: {{errorMessage}}",
           "updatedLPRFailed": "ナンバープレートの更新に失敗しました: {{errorMessage}}",
-          "audioTranscription": "音声文字起こしのリクエストに失敗しました: {{errorMessage}}"
+          "audioTranscription": "音声文字起こしのリクエストに失敗しました: {{errorMessage}}",
+          "updatedAttributesFailed": "属性の更新に失敗しました: {{errorMessage}}"
         }
       }
     },
@@ -73,6 +75,14 @@
     "tips": {
       "descriptionSaved": "説明を保存しました",
       "saveDescriptionFailed": "説明の更新に失敗しました: {{errorMessage}}"
+    },
+    "editAttributes": {
+      "title": "属性を編集",
+      "desc": "この {{label}} の分類属性を選択してください"
+    },
+    "attributes": "分類属性",
+    "title": {
+      "label": "タイトル"
     }
   },
   "exploreMore": "{{label}} のオブジェクトをさらに探索",
@@ -90,7 +100,7 @@
       }
     },
     "downloadingModels": {
-      "context": "Frigate はセマンティック検索をサポートするために必要な埋め込みモデルをダウンロードしています。ネットワーク速度により数分かかる場合があります。",
+      "context": "Frigate はセマンティック検索(意味理解型画像検索)をサポートするために必要な埋め込みモデルをダウンロードしています。ネットワーク速度により数分かかる場合があります。",
       "setup": {
         "visionModel": "ビジョンモデル",
         "visionModelFeatureExtractor": "ビジョンモデル特徴抽出器",
@@ -108,7 +118,9 @@
     "details": "詳細",
     "snapshot": "スナップショット",
     "video": "動画",
-    "object_lifecycle": "オブジェクトのライフサイクル"
+    "object_lifecycle": "オブジェクトのライフサイクル",
+    "thumbnail": "サムネイル",
+    "tracking_details": "追跡詳細"
   },
   "objectLifecycle": {
     "title": "オブジェクトのライフサイクル",
@@ -193,12 +205,26 @@
     },
     "deleteTrackedObject": {
       "label": "この追跡オブジェクトを削除"
+    },
+    "downloadCleanSnapshot": {
+      "label": "クリーンなスナップショットをダウンロード",
+      "aria": "クリーンなスナップショットをダウンロード"
+    },
+    "viewTrackingDetails": {
+      "label": "追跡詳細を表示",
+      "aria": "追跡詳細を表示"
+    },
+    "showObjectDetails": {
+      "label": "オブジェクトの移動経路を表示"
+    },
+    "hideObjectDetails": {
+      "label": "オブジェクトの移動経路を非表示"
     }
   },
   "dialog": {
     "confirmDelete": {
       "title": "削除の確認",
-      "desc": "この追跡オブジェクトを削除すると、スナップショット、保存された埋め込み、および関連するライフサイクル項目が削除されます。履歴ビューの録画映像は削除<em>されません</em>。<br /><br />続行してもよろしいですか？"
+      "desc": "この追跡オブジェクトを削除すると、スナップショット、保存された埋め込み、および関連する追跡詳細項目が削除されます。履歴ビューの録画映像は削除<em>されません</em>。<br /><br />続行してもよろしいですか？"
     }
   },
   "noTrackedObjects": "追跡オブジェクトは見つかりませんでした",
@@ -211,12 +237,63 @@
         "success": "追跡オブジェクトを削除しました。",
         "error": "追跡オブジェクトの削除に失敗しました: {{errorMessage}}"
       }
-    }
+    },
+    "previousTrackedObject": "前の追跡オブジェクト",
+    "nextTrackedObject": "次の追跡オブジェクト"
   },
   "aiAnalysis": {
     "title": "AI 解析"
   },
   "concerns": {
     "label": "懸念"
+  },
+  "trackingDetails": {
+    "title": "追跡詳細",
+    "noImageFound": "このタイムスタンプに対応する画像が見つかりません。",
+    "createObjectMask": "オブジェクトマスクを作成",
+    "adjustAnnotationSettings": "注釈設定を調整",
+    "scrollViewTips": "クリックして、このオブジェクトのライフサイクルにおける重要な瞬間を表示します。",
+    "autoTrackingTips": "自動追跡カメラでは、バウンディングボックスの位置が不正確になる場合があります。",
+    "count": "{{second}} 件中 {{first}} 件目",
+    "trackedPoint": "追跡ポイント",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} が検出されました",
+      "entered_zone": "{{label}} が {{zones}} に入りました",
+      "active": "{{label}} がアクティブになりました",
+      "stationary": "{{label}} が静止状態になりました",
+      "attribute": {
+        "faceOrLicense_plate": "{{label}} に {{attribute}} が検出されました",
+        "other": "{{label}} は {{attribute}} と認識されました"
+      },
+      "gone": "{{label}} が離脱しました",
+      "heard": "{{label}} の音が検出されました",
+      "external": "{{label}} が検出されました",
+      "header": {
+        "zones": "ゾーン",
+        "ratio": "比率",
+        "area": "面積",
+        "score": "スコア"
+      }
+    },
+    "annotationSettings": {
+      "title": "注釈設定",
+      "showAllZones": {
+        "title": "すべてのゾーンを表示",
+        "desc": "オブジェクトがゾーンに入ったフレームでは常にゾーンを表示します。"
+      },
+      "offset": {
+        "label": "注釈オフセット",
+        "millisecondsToOffset": "検出アノテーションをオフセットするミリ秒数です。<em>デフォルト: 0</em>",
+        "toast": {
+          "success": "{{camera}} のアノテーションオフセットが設定ファイルに保存されました。"
+        },
+        "desc": "このデータはカメラの detect ストリーム から取得されていますが、表示される画像自体は record ストリーム のものです。そのため、2 つのストリームが完全に同期している可能性は低く、バウンディングボックスと実際の映像が正確に一致しない場合があります。この設定を使用すると、注釈（アノテーション）を 時間的に前後へオフセット することができ、録画映像との位置合わせをより正確に行えます。",
+        "tips": "映像の再生がバウンディングボックスや軌跡ポイントより先行している場合は値を小さくし、遅れている場合は値を大きくしてください。この値は負の値も指定できます。"
+      }
+    },
+    "carousel": {
+      "previous": "前のスライド",
+      "next": "次のスライド"
+    }
   }
 }
diff --git a/web/public/locales/ja/views/exports.json b/web/public/locales/ja/views/exports.json
index b5107f475..3e8ce14d4 100644
--- a/web/public/locales/ja/views/exports.json
+++ b/web/public/locales/ja/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "書き出し名の変更に失敗しました: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "エクスポートを共有",
+    "downloadVideo": "動画をダウンロード",
+    "editName": "名前を編集",
+    "deleteExport": "エクスポートを削除"
   }
 }
diff --git a/web/public/locales/ja/views/faceLibrary.json b/web/public/locales/ja/views/faceLibrary.json
index 7e7c2879d..5b9392caf 100644
--- a/web/public/locales/ja/views/faceLibrary.json
+++ b/web/public/locales/ja/views/faceLibrary.json
@@ -1,8 +1,8 @@
 {
   "description": {
     "placeholder": "このコレクションの名前を入力",
-    "addFace": "顔データベースに新しいコレクションを追加する手順を案内します。",
-    "invalidName": "無効な名前です。名前に使用できるのは英数字、スペース、アポストロフィ、アンダースコア、ハイフンのみです。"
+    "addFace": "最初の画像をアップロードして、フェイスライブラリに新しいコレクションを追加してください。",
+    "invalidName": "無効な名前です。使用できるのは、英数字、空白、アポストロフィ、アンダースコア、ハイフンのみです。"
   },
   "details": {
     "person": "人物",
@@ -23,7 +23,7 @@
     "title": "コレクションを作成",
     "desc": "新しいコレクションを作成",
     "new": "新しい顔を作成",
-    "nextSteps": "強固な基盤を作るために:<li>［学習］タブで各人物に対して画像を選択し学習させてください。</li><li>最良の結果のため、正面を向いた画像に集中し、斜めからの顔画像は学習に使わないでください。</li></ul>"
+    "nextSteps": "強固な基盤を作るために:<li>［過去の学習］タブで各人物に対して画像を選択し学習させてください。</li><li>最良の結果のため、正面を向いた画像に集中し、斜めからの顔画像は学習に使わないでください。</li></ul>"
   },
   "selectItem": "{{item}} を選択",
   "steps": {
@@ -35,9 +35,10 @@
     }
   },
   "train": {
-    "title": "学習",
-    "aria": "学習を選択",
-    "empty": "最近の顔認識の試行はありません"
+    "title": "過去の学習",
+    "aria": "過去の学習を選択",
+    "empty": "最近の顔認識の試行はありません",
+    "titleShort": "Classifications,最近の分類結果を選択,,False,train.aria,,"
   },
   "selectFace": "顔を選択",
   "deleteFaceLibrary": {
@@ -65,7 +66,7 @@
       "selectImage": "画像ファイルを選択してください。"
     },
     "dropActive": "ここに画像をドロップ…",
-    "dropInstructions": "画像をここにドラッグ＆ドロップ、またはクリックして選択",
+    "dropInstructions": "画像をここにドラッグ＆ドロップ、ペースト、またはクリックして選択",
     "maxSize": "最大サイズ: {{size}}MB"
   },
   "nofaces": "顔はありません",
@@ -80,7 +81,7 @@
       "deletedName_other": "{{count}} 件の顔を削除しました。",
       "renamedFace": "顔の名前を {{name}} に変更しました",
       "trainedFace": "顔の学習が完了しました。",
-      "updatedFaceScore": "顔のスコアを更新しました。"
+      "updatedFaceScore": "顔のスコアを {{name}} ({{score}})に更新しました。"
     },
     "error": {
       "uploadingImageFailed": "画像のアップロードに失敗しました: {{errorMessage}}",
diff --git a/web/public/locales/ja/views/live.json b/web/public/locales/ja/views/live.json
index c47b6d817..f88901ab8 100644
--- a/web/public/locales/ja/views/live.json
+++ b/web/public/locales/ja/views/live.json
@@ -91,7 +91,7 @@
   },
   "manualRecording": {
     "title": "オンデマンド録画",
-    "tips": "このカメラの録画保持設定に基づく手動イベントを開始します。",
+    "tips": "このカメラの録画保持設定に基づいて、即時スナップショットをダウンロードするか、手動イベントを開始してください。",
     "playInBackground": {
       "label": "バックグラウンドで再生",
       "desc": "プレーヤーが非表示の場合でもストリーミングを継続するにはこのオプションを有効にします。"
@@ -136,6 +136,9 @@
     "playInBackground": {
       "label": "バックグラウンドで再生",
       "tips": "プレーヤーが非表示でもストリーミングを継続するにはこのオプションを有効にします。"
+    },
+    "debug": {
+      "picker": "デバッグモードではストリームの選択はできません。デバッグビューは常に 検出ロールに割り当てられたストリームを使用します。"
     }
   },
   "cameraSettings": {
@@ -165,5 +168,20 @@
       "label": "カメラグループを編集"
     },
     "exitEdit": "編集を終了"
+  },
+  "noCameras": {
+    "title": "カメラが設定されていません",
+    "buttonText": "カメラを追加",
+    "description": "開始するには、Frigateにカメラを接続してください。",
+    "restricted": {
+      "title": "利用可能なカメラがありません",
+      "description": "このグループ内のカメラを表示する権限がありません。"
+    }
+  },
+  "snapshot": {
+    "takeSnapshot": "即時スナップショットをダウンロード",
+    "noVideoSource": "スナップショットに使用できる映像ソースがありません。",
+    "captureFailed": "スナップショットの取得に失敗しました。",
+    "downloadStarted": "スナップショットのダウンロードを開始しました。"
   }
 }
diff --git a/web/public/locales/ja/views/search.json b/web/public/locales/ja/views/search.json
index d5be5ed30..540606c83 100644
--- a/web/public/locales/ja/views/search.json
+++ b/web/public/locales/ja/views/search.json
@@ -26,7 +26,8 @@
       "max_speed": "最大速度",
       "recognized_license_plate": "認識されたナンバープレート",
       "has_clip": "クリップあり",
-      "has_snapshot": "スナップショットあり"
+      "has_snapshot": "スナップショットあり",
+      "attributes": "属性"
     },
     "searchType": {
       "thumbnail": "サムネイル",
diff --git a/web/public/locales/ja/views/settings.json b/web/public/locales/ja/views/settings.json
index 004fd73b3..5c36b1919 100644
--- a/web/public/locales/ja/views/settings.json
+++ b/web/public/locales/ja/views/settings.json
@@ -3,17 +3,19 @@
     "authentication": "認証設定 - Frigate",
     "camera": "カメラ設定 - Frigate",
     "default": "設定 - Frigate",
-    "enrichments": "エンリッチメント設定 - Frigate",
+    "enrichments": "高度解析設定 - Frigate",
     "masksAndZones": "マスク／ゾーンエディタ - Frigate",
     "motionTuner": "モーションチューナー - Frigate",
     "object": "デバッグ - Frigate",
-    "general": "一般設定 - Frigate",
+    "general": "UI設定 - Frigate",
     "frigatePlus": "Frigate+ 設定 - Frigate",
-    "notifications": "通知設定 - Frigate"
+    "notifications": "通知設定 - Frigate",
+    "cameraManagement": "カメラ設定 - Frigate",
+    "cameraReview": "カメラレビュー設定 - Frigate"
   },
   "menu": {
     "ui": "UI",
-    "enrichments": "エンリッチメント",
+    "enrichments": "高度解析",
     "cameras": "カメラ設定",
     "masksAndZones": "マスク／ゾーン",
     "motionTuner": "モーションチューナー",
@@ -21,7 +23,10 @@
     "debug": "デバッグ",
     "users": "ユーザー",
     "notifications": "通知",
-    "frigateplus": "Frigate+"
+    "frigateplus": "Frigate+",
+    "cameraManagement": "管理",
+    "cameraReview": "レビュー",
+    "roles": "区分"
   },
   "dialog": {
     "unsavedChanges": {
@@ -34,7 +39,7 @@
     "noCamera": "カメラなし"
   },
   "general": {
-    "title": "一般設定",
+    "title": "UI設定",
     "liveDashboard": {
       "title": "ライブダッシュボード",
       "automaticLiveView": {
@@ -44,6 +49,14 @@
       "playAlertVideos": {
         "label": "アラート動画を再生",
         "desc": "既定では、ライブダッシュボードの最近のアラートは小さなループ動画として再生されます。無効にすると、最近のアラートはこのデバイス／ブラウザでは静止画像のみ表示されます。"
+      },
+      "displayCameraNames": {
+        "label": "常にカメラ名を表示",
+        "desc": "マルチカメラのライブビュー ダッシュボードで、カメラ名を常にチップ表示します。"
+      },
+      "liveFallbackTimeout": {
+        "label": "ライブプレイヤーのフォールバック タイムアウト",
+        "desc": "カメラの高画質ライブストリームが利用できない場合、指定した秒数後に低帯域モードへ切り替えます。デフォルト：3 秒"
       }
     },
     "storedLayouts": {
@@ -84,8 +97,8 @@
     }
   },
   "enrichments": {
-    "title": "エンリッチメント設定",
-    "unsavedChanges": "未保存のエンリッチメント設定の変更",
+    "title": "高度解析設定",
+    "unsavedChanges": "未保存の高度解析設定の変更",
     "birdClassification": {
       "title": "鳥類分類",
       "desc": "量子化された TensorFlow モデルを使って既知の鳥を識別します。既知の鳥を認識した場合、その一般名を sub_label として追加します。この情報は UI、フィルタ、通知に含まれます。"
@@ -136,9 +149,9 @@
       "title": "ナンバープレート認識",
       "desc": "車両のナンバープレートを認識し、検出文字列を recognized_license_plate フィールドへ、または既知の名称を car タイプのオブジェクトの sub_label として自動追加できます。一般的な用途として、私道に入ってくる車や道路を通過する車のナンバー読み取りがあります。"
     },
-    "restart_required": "再起動が必要です（エンリッチメント設定を変更）",
+    "restart_required": "再起動が必要です（高度解析設定を変更）",
     "toast": {
-      "success": "エンリッチメント設定を保存しました。変更を適用するには Frigate を再起動してください。",
+      "success": "高度解析設定を保存しました。変更を適用するには Frigate を再起動してください。",
       "error": "設定変更の保存に失敗しました: {{errorMessage}}"
     }
   },
@@ -234,7 +247,8 @@
           "mustNotBeSameWithCamera": "ゾーン名はカメラ名と同一にできません。",
           "alreadyExists": "この名前のゾーンはこのカメラに既に存在します。",
           "mustNotContainPeriod": "ゾーン名にピリオドは使用できません。",
-          "hasIllegalCharacter": "ゾーン名に不正な文字が含まれています。"
+          "hasIllegalCharacter": "ゾーン名に不正な文字が含まれています。",
+          "mustHaveAtLeastOneLetter": "ゾーン名には少なくとも 1 文字が必要です。"
         }
       },
       "distance": {
@@ -291,7 +305,7 @@
       "name": {
         "title": "名称",
         "inputPlaceHolder": "名前を入力…",
-        "tips": "名前は2文字以上、かつカメラ名や他のゾーン名と重複しない必要があります。"
+        "tips": "名前は2文字以上で、少なくとも1文字のアルファベットを含み、このカメラ上の他のゾーン名やカメラ名と同一であってはなりません。"
       },
       "inertia": {
         "title": "慣性",
@@ -325,7 +339,7 @@
         }
       },
       "toast": {
-        "success": "ゾーン（{{zoneName}}）を保存しました。変更を適用するには Frigate を再起動してください。"
+        "success": "ゾーン（{{zoneName}}）を保存しました。"
       }
     },
     "motionMasks": {
@@ -348,8 +362,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} を保存しました。変更を適用するには Frigate を再起動してください。",
-          "noName": "モーションマスクを保存しました。変更を適用するには Frigate を再起動してください。"
+          "title": "{{polygonName}} を保存しました。",
+          "noName": "モーションマスクを保存しました。"
         }
       }
     },
@@ -372,8 +386,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} を保存しました。変更を適用するには Frigate を再起動してください。",
-          "noName": "オブジェクトマスクを保存しました。変更を適用するには Frigate を再起動してください。"
+          "title": "{{polygonName}} を保存しました。",
+          "noName": "オブジェクトマスクを保存しました。"
         }
       }
     }
@@ -467,7 +481,7 @@
       "desc": "この Frigate インスタンスのユーザーアカウントを管理します。"
     },
     "addUser": "ユーザーを追加",
-    "updatePassword": "パスワードを更新",
+    "updatePassword": "パスワードをリセット",
     "toast": {
       "success": {
         "createUser": "ユーザー {{user}} を作成しました",
@@ -488,7 +502,7 @@
       "role": "ロール",
       "noUsers": "ユーザーが見つかりません。",
       "changeRole": "ユーザーロールを変更",
-      "password": "パスワード",
+      "password": "パスワードをリセット",
       "deleteUser": "ユーザーを削除"
     },
     "dialog": {
@@ -513,7 +527,16 @@
             "veryStrong": "非常に強い"
           },
           "match": "パスワードが一致しています",
-          "notMatch": "パスワードが一致しません"
+          "notMatch": "パスワードが一致しません",
+          "show": "パスワードを表示",
+          "hide": "パスワードを非表示",
+          "requirements": {
+            "title": "パスワード要件：",
+            "length": "8 文字以上",
+            "uppercase": "大文字を 1 文字以上含める",
+            "digit": "数字を 1 文字以上含める",
+            "special": "少なくとも 1 つの特殊文字（!@#$%^&*(),.?”:{}|<>）が必要です"
+          }
         },
         "newPassword": {
           "title": "新しいパスワード",
@@ -523,7 +546,11 @@
           }
         },
         "usernameIsRequired": "ユーザー名は必須です",
-        "passwordIsRequired": "パスワードは必須です"
+        "passwordIsRequired": "パスワードは必須です",
+        "currentPassword": {
+          "title": "現在のパスワード",
+          "placeholder": "現在のパスワードを入力"
+        }
       },
       "createUser": {
         "title": "新規ユーザーを作成",
@@ -541,7 +568,12 @@
         "doNotMatch": "パスワードが一致しません",
         "updatePassword": "{{username}} のパスワードを更新",
         "setPassword": "パスワードを設定",
-        "desc": "強力なパスワードを作成して、このアカウントを保護してください。"
+        "desc": "強力なパスワードを作成して、このアカウントを保護してください。",
+        "currentPasswordRequired": "現在のパスワードは必須です",
+        "incorrectCurrentPassword": "現在のパスワードが正しくありません",
+        "passwordVerificationFailed": "パスワードの確認に失敗しました",
+        "multiDeviceWarning": "他のログイン中のデバイスは {{refresh_time}} 以内に再ログインが必要になります。",
+        "multiDeviceAdmin": "JWT シークレットをローテーションすることで、すべてのユーザーに即時再認証を強制することもできます。"
       },
       "changeRole": {
         "title": "ユーザーロールを変更",
@@ -577,7 +609,7 @@
         "createRole": "ロール {{role}} を作成しました",
         "updateCameras": "ロール {{role}} のカメラを更新しました",
         "deleteRole": "ロール {{role}} を削除しました",
-        "userRolesUpdated": "このロールに割り当てられていた {{count}} ユーザーは「viewer」に更新され、すべてのカメラへの閲覧アクセスが付与されました。"
+        "userRolesUpdated_other": "このロールに割り当てられていた {{count}} ユーザーは「viewer」に更新され、すべてのカメラへの閲覧アクセスが付与されました。"
       },
       "error": {
         "createRoleFailed": "ロールの作成に失敗しました: {{errorMessage}}",
@@ -717,7 +749,7 @@
   "triggers": {
     "documentTitle": "トリガー",
     "management": {
-      "title": "トリガー管理",
+      "title": "トリガー",
       "desc": "{{camera}} のトリガーを管理します。サムネイルタイプでは、選択した追跡オブジェクトに類似するサムネイルでトリガーし、説明タイプでは、指定したテキストに類似する説明でトリガーします。"
     },
     "addTrigger": "トリガーを追加",
@@ -738,7 +770,9 @@
     },
     "actions": {
       "alert": "アラートとしてマーク",
-      "notification": "通知を送信"
+      "notification": "通知を送信",
+      "sub_label": "サブラベルを追加",
+      "attribute": "属性を追加"
     },
     "dialog": {
       "createTrigger": {
@@ -758,23 +792,26 @@
           "title": "名称",
           "placeholder": "トリガー名を入力",
           "error": {
-            "minLength": "名称は2文字以上である必要があります。",
-            "invalidCharacters": "名称に使用できるのは英数字、アンダースコア、ハイフンのみです。",
+            "minLength": "この項目は2文字以上で入力してください。",
+            "invalidCharacters": "このフィールドに使用できるのは英数字、アンダースコア、ハイフンのみです。",
             "alreadyExists": "このカメラには同名のトリガーが既に存在します。"
-          }
+          },
+          "description": "このトリガーを識別するための一意の名前または説明を入力してください"
         },
         "enabled": {
           "description": "このトリガーを有効／無効にする"
         },
         "type": {
           "title": "タイプ",
-          "placeholder": "トリガータイプを選択"
+          "placeholder": "トリガータイプを選択",
+          "description": "類似した追跡オブジェクトの説明が検出されたときにトリガー",
+          "thumbnail": "類似した追跡オブジェクトのサムネイルが検出されたときにトリガー"
         },
         "content": {
           "title": "コンテンツ",
-          "imagePlaceholder": "画像を選択",
+          "imagePlaceholder": "サムネイルを選択",
           "textPlaceholder": "テキストを入力",
-          "imageDesc": "類似画像が検出されたときにこのアクションをトリガーするための画像を選択します。",
+          "imageDesc": "最新のサムネイル100件のみが表示されます。目的のサムネイルが見つからない場合は、探索で過去のオブジェクトを確認し、そこのメニューからトリガーを設定してください。",
           "textDesc": "類似する追跡オブジェクトの説明が検出されたときにこのアクションをトリガーするためのテキストを入力します。",
           "error": {
             "required": "コンテンツは必須です。"
@@ -785,14 +822,20 @@
           "error": {
             "min": "しきい値は 0 以上である必要があります",
             "max": "しきい値は 1 以下である必要があります"
-          }
+          },
+          "desc": "このトリガーの類似度しきい値を設定します。値が高いほど、より近い一致が必要になります。"
         },
         "actions": {
           "title": "アクション",
-          "desc": "既定では、すべてのトリガーに対して MQTT メッセージが送信されます。必要に応じて、トリガー時に実行する追加アクションを選択してください。",
+          "desc": "デフォルトでは、Frigate はすべてのトリガーに対して MQTT メッセージを送信します。サブラベルは、トリガー名をオブジェクトのラベルに追加します。属性（Attributes）は、追跡オブジェクトのメタデータとは別に保存される検索可能なメタデータです。",
           "error": {
             "min": "少なくとも1つのアクションを選択してください。"
           }
+        },
+        "friendly_name": {
+          "title": "表示名",
+          "placeholder": "このトリガーの名前または説明",
+          "description": "このトリガーの表示名または説明文"
         }
       }
     },
@@ -807,6 +850,372 @@
         "updateTriggerFailed": "トリガーの更新に失敗しました: {{errorMessage}}",
         "deleteTriggerFailed": "トリガーの削除に失敗しました: {{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "desc": "トリガーを使用するにはセマンティック検索を有効にする必要があります。",
+      "title": "セマンティック検索が無効です"
+    },
+    "wizard": {
+      "title": "トリガーを作成",
+      "step1": {
+        "description": "トリガーの基本設定を構成します。"
+      },
+      "step2": {
+        "description": "このアクションをトリガーする内容を設定します。"
+      },
+      "step3": {
+        "description": "このトリガーのしきい値とアクションを設定します。"
+      },
+      "steps": {
+        "nameAndType": "名前と種類",
+        "configureData": "データを設定",
+        "thresholdAndActions": "しきい値とアクション"
+      }
+    }
+  },
+  "cameraWizard": {
+    "step3": {
+      "saveAndApply": "新しいカメラを保存",
+      "description": "カメラのストリームの役割を設定し、必要に応じてストリームを追加します。",
+      "validationTitle": "ストリーム検証",
+      "connectAllStreams": "すべてのストリームを接続",
+      "reconnectionSuccess": "再接続に成功しました。",
+      "reconnectionPartial": "一部のストリームの再接続に失敗しました。",
+      "streamUnavailable": "ストリームプレビューは利用できません",
+      "reload": "再読み込み",
+      "connecting": "接続中…",
+      "streamTitle": "ストリーム {{number}}",
+      "valid": "有効",
+      "failed": "失敗",
+      "notTested": "未テスト",
+      "connectStream": "接続",
+      "connectingStream": "接続中",
+      "disconnectStream": "切断",
+      "estimatedBandwidth": "推定帯域幅",
+      "roles": "ロール",
+      "none": "なし",
+      "error": "エラー",
+      "streamValidated": "ストリーム {{number}} の検証に成功しました",
+      "streamValidationFailed": "ストリーム {{number}} の検証に失敗しました",
+      "saveError": "無効な構成です。設定を確認してください。",
+      "issues": {
+        "title": "ストリーム検証",
+        "videoCodecGood": "ビデオコーデックは {{codec}} です。",
+        "audioCodecGood": "オーディオコーデックは {{codec}} です。",
+        "noAudioWarning": "このストリームでは音声が検出されません。録画には音声が含まれません。",
+        "audioCodecRecordError": "録画に音声を含めるには AAC オーディオコーデックが必要です。",
+        "audioCodecRequired": "音声検出を有効にするには音声ストリームが必要です。",
+        "restreamingWarning": "録画ストリームでカメラへの接続数を減らすと、CPU 使用率がわずかに増加する場合があります。",
+        "hikvision": {
+          "substreamWarning": "サブストリーム1は低解像度に固定されています。多くの Hikvision 製カメラでは、追加のサブストリームが利用可能であり、カメラ本体の設定で有効化する必要があります。使用できる場合は、それらのストリームを確認して活用することを推奨します。"
+        },
+        "dahua": {
+          "substreamWarning": "サブストリーム1は低解像度に固定されています。多くの Dahua／Amcrest／EmpireTech 製カメラでは、追加のサブストリームが利用可能であり、カメラ本体の設定で有効化する必要があります。使用できる場合は、それらのストリームを確認して活用することを推奨します。"
+        }
+      },
+      "streamsTitle": "カメラ ストリーム",
+      "addStream": "ストリームを追加",
+      "addAnotherStream": "別のストリームを追加",
+      "streamUrl": "ストリーム URL",
+      "streamUrlPlaceholder": "rtsp://ユーザー名:パスワード@ホスト:ポート/パス",
+      "selectStream": "ストリームを選択",
+      "searchCandidates": "候補を検索…",
+      "noStreamFound": "ストリームが見つかりません",
+      "url": "URL",
+      "resolution": "解像度",
+      "selectResolution": "解像度を選択",
+      "quality": "品質",
+      "selectQuality": "品質を選択",
+      "roleLabels": {
+        "detect": "オブジェクト検出",
+        "record": "録画",
+        "audio": "音声"
+      },
+      "testStream": "接続をテスト",
+      "testSuccess": "ストリーム テスト成功！",
+      "testFailed": "ストリーム テスト失敗",
+      "testFailedTitle": "テスト失敗",
+      "connected": "接続済み",
+      "notConnected": "未接続",
+      "featuresTitle": "機能",
+      "go2rtc": "カメラへの接続数を削減",
+      "detectRoleWarning": "続行するには、少なくとも 1 つのストリームに「検出」ロールが必要です。",
+      "rolesPopover": {
+        "title": "ストリーム ロール",
+        "detect": "オブジェクト検出用のメイン フィードです。",
+        "record": "設定に基づいて映像フィードのセグメントを保存します。",
+        "audio": "音声ベース検出用のフィードです。"
+      },
+      "featuresPopover": {
+        "title": "ストリーム機能",
+        "description": "go2rtc の再配信を使用してカメラへの接続数を削減します。"
+      }
+    },
+    "title": "カメラを追加",
+    "description": "以下の手順に従って、Frigate に新しいカメラを追加します。",
+    "steps": {
+      "nameAndConnection": "名称と接続",
+      "streamConfiguration": "ストリーム設定",
+      "validationAndTesting": "検証とテスト",
+      "probeOrSnapshot": "プローブまたはスナップショット"
+    },
+    "save": {
+      "success": "新しいカメラ {{cameraName}} を保存しました。",
+      "failure": "保存エラー: {{cameraName}}。"
+    },
+    "testResultLabels": {
+      "resolution": "解像度",
+      "video": "ビデオ",
+      "audio": "オーディオ",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "有効なストリーム URL を入力してください",
+      "testFailed": "ストリームテストに失敗しました: {{error}}"
+    },
+    "step1": {
+      "description": "カメラの詳細を入力し、カメラを自動検出するか、メーカーを手動で選択してください。",
+      "cameraName": "カメラ名",
+      "cameraNamePlaceholder": "例: front_door または Back Yard Overview",
+      "host": "ホスト／IP アドレス",
+      "port": "ポート",
+      "username": "ユーザー名",
+      "usernamePlaceholder": "任意",
+      "password": "パスワード",
+      "passwordPlaceholder": "任意",
+      "selectTransport": "トランスポートプロトコルを選択",
+      "cameraBrand": "カメラブランド",
+      "selectBrand": "URL テンプレート用のカメラブランドを選択",
+      "customUrl": "カスタムストリーム URL",
+      "brandInformation": "ブランド情報",
+      "brandUrlFormat": "RTSP URL 形式が {{exampleUrl}} のカメラ向け",
+      "customUrlPlaceholder": "rtsp://username:password@host:port/path",
+      "testConnection": "接続テスト",
+      "testSuccess": "接続テストに成功しました！",
+      "testFailed": "接続テストに失敗しました。入力内容を確認して再試行してください。",
+      "streamDetails": "ストリーム詳細",
+      "warnings": {
+        "noSnapshot": "設定されたストリームからスナップショットを取得できません。"
+      },
+      "errors": {
+        "brandOrCustomUrlRequired": "ホスト／IP とブランドを選択するか、「その他」を選んでカスタム URL を指定してください",
+        "nameRequired": "カメラ名は必須です",
+        "nameLength": "カメラ名は64文字以下である必要があります",
+        "invalidCharacters": "カメラ名に無効な文字が含まれています",
+        "nameExists": "このカメラ名は既に存在します",
+        "brands": {
+          "reolink-rtsp": "Reolink の RTSP は推奨されません。カメラ設定で http を有効にし、カメラウィザードを再起動することを推奨します。"
+        },
+        "customUrlRtspRequired": "カスタム URL は「rtsp://」で始まる必要があります。非 RTSP カメラ ストリームの場合は手動構成が必要です。"
+      },
+      "docs": {
+        "reolink": "https://docs.frigate.video/configuration/camera_specific.html#reolink-cameras"
+      },
+      "connectionSettings": "接続設定",
+      "detectionMethod": "ストリーム検出方法",
+      "onvifPort": "ONVIF ポート",
+      "probeMode": "カメラをプローブ",
+      "manualMode": "手動選択",
+      "useDigestAuth": "ダイジェスト認証を使用",
+      "useDigestAuthDescription": "ONVIF に HTTP ダイジェスト認証を使用します。一部のカメラでは、通常の管理者ユーザーではなく専用の ONVIF ユーザー名／パスワードが必要な場合があります。",
+      "detectionMethodDescription": "（対応している場合）ONVIF を使用してカメラを自動設定し、カメラのストリーム URL を検出するか、カメラのブランドを手動で選択して事前定義された URL を使用します。カスタム RTSP URL を入力する場合は、手動設定を選択し、「その他」を選んでください。",
+      "onvifPortDescription": "ONVIF に対応しているカメラの場合、通常は 80 または 8080 です。"
+    },
+    "step2": {
+      "description": "選択した検出方法に応じて、カメラから利用可能なストリームを自動検出するか、手動で設定してください。",
+      "streamsTitle": "カメラストリーム",
+      "addStream": "ストリームを追加",
+      "addAnotherStream": "ストリームをさらに追加",
+      "streamTitle": "ストリーム {{number}}",
+      "streamUrl": "ストリーム URL",
+      "streamUrlPlaceholder": "rtsp://username:password@host:port/path",
+      "url": "URL",
+      "resolution": "解像度",
+      "selectResolution": "解像度を選択",
+      "quality": "品質",
+      "selectQuality": "品質を選択",
+      "roles": "ロール",
+      "roleLabels": {
+        "detect": "物体検出",
+        "record": "録画",
+        "audio": "音声"
+      },
+      "testStream": "接続テスト",
+      "testSuccess": "接続テストに成功しました！",
+      "testFailed": "接続テストに失敗しました。入力を確認し、もう一度実行してください。",
+      "testFailedTitle": "テスト失敗",
+      "connected": "接続済み",
+      "notConnected": "未接続",
+      "featuresTitle": "機能",
+      "go2rtc": "カメラへの接続数を削減",
+      "detectRoleWarning": "\"detect\" ロールを持つストリームが少なくとも1つ必要です。",
+      "rolesPopover": {
+        "title": "ストリームロール",
+        "detect": "物体検出のメインフィード。",
+        "record": "設定に基づいて映像フィードのセグメントを保存します。",
+        "audio": "音声検出用のフィード。"
+      },
+      "featuresPopover": {
+        "title": "ストリーム機能",
+        "description": "go2rtc のリストリーミングを使用してカメラへの接続数を削減します。"
+      },
+      "streamDetails": "ストリームの詳細",
+      "probing": "カメラをプローブ中…",
+      "retry": "再試行",
+      "testing": {
+        "probingMetadata": "カメラのメタデータを取得中…",
+        "fetchingSnapshot": "カメラのスナップショットを取得中…"
+      },
+      "probeFailed": "カメラのプローブに失敗しました: {{error}}",
+      "probingDevice": "デバイスをプローブ中…",
+      "probeSuccessful": "プローブ成功",
+      "probeError": "プローブ エラー",
+      "probeNoSuccess": "プローブ失敗",
+      "deviceInfo": "デバイス情報",
+      "manufacturer": "メーカー",
+      "model": "モデル",
+      "firmware": "ファームウェア",
+      "profiles": "プロファイル",
+      "ptzSupport": "PTZ 対応",
+      "autotrackingSupport": "自動追跡対応",
+      "presets": "プリセット",
+      "rtspCandidates": "RTSP 候補",
+      "rtspCandidatesDescription": "カメラのプローブから以下の RTSP URL が見つかりました。接続をテストしてストリームのメタデータを確認してください。",
+      "candidateStreamTitle": "候補 {{number}}",
+      "useCandidate": "使用",
+      "uriCopy": "コピー",
+      "uriCopied": "URI をクリップボードにコピーしました",
+      "testConnection": "接続をテスト",
+      "toggleUriView": "クリックして URI の全表示を切り替え",
+      "errors": {
+        "hostRequired": "ホスト／IP アドレスは必須です"
+      },
+      "noRtspCandidates": "カメラから RTSP URL を取得できませんでした。認証情報が正しくないか、カメラが ONVIF に対応していない、または RTSP URL を取得する方法がサポートされていない可能性があります。RTSP URL を手動で入力してください。"
+    },
+    "step4": {
+      "description": "新しいカメラを保存する前の最終検証と分析です。保存前に各ストリームを接続してください。",
+      "validationTitle": "ストリーム検証",
+      "connectAllStreams": "すべてのストリームを接続",
+      "reconnectionSuccess": "再接続に成功しました。",
+      "reconnectionPartial": "一部のストリームで再接続に失敗しました。",
+      "streamUnavailable": "ストリームのプレビューを表示できません",
+      "reload": "再読み込み",
+      "connecting": "接続中…",
+      "streamTitle": "ストリーム {{number}}",
+      "valid": "有効",
+      "failed": "失敗",
+      "notTested": "未テスト",
+      "connectStream": "接続",
+      "connectingStream": "接続中",
+      "disconnectStream": "切断",
+      "estimatedBandwidth": "推定帯域幅",
+      "roles": "ロール",
+      "ffmpegModule": "ストリーム互換モードを使用",
+      "none": "なし",
+      "error": "エラー",
+      "streamValidated": "ストリーム {{number}} の検証に成功しました",
+      "streamValidationFailed": "ストリーム {{number}} の検証に失敗しました",
+      "saveAndApply": "新しいカメラを保存",
+      "saveError": "無効な設定です。設定を確認してください。",
+      "issues": {
+        "title": "ストリーム検証",
+        "videoCodecGood": "ビデオ コーデックは {{codec}} です。",
+        "audioCodecGood": "オーディオ コーデックは {{codec}} です。",
+        "resolutionHigh": "解像度 {{resolution}} はリソース使用量が増加する可能性があります。",
+        "resolutionLow": "解像度 {{resolution}} は小さなオブジェクトを確実に検出するには低すぎる可能性があります。",
+        "audioCodecRecordError": "録画で音声をサポートするには AAC オーディオ コーデックが必要です。",
+        "audioCodecRequired": "音声検出をサポートするには音声ストリームが必要です。",
+        "restreamingWarning": "録画用ストリームでカメラへの接続数を削減すると、CPU 使用率がわずかに増加する場合があります。",
+        "brands": {
+          "reolink-rtsp": "Reolink の RTSP は推奨されません。カメラのファームウェア設定で HTTP を有効にし、ウィザードを再起動してください。",
+          "reolink-http": "Reolink の HTTP ストリームは互換性向上のため FFmpeg を使用してください。このストリームで「ストリーム互換モードを使用」を有効にしてください。"
+        },
+        "dahua": {
+          "substreamWarning": "サブストリーム 1 は低解像度に固定されています。多くの Dahua / Amcrest / EmpireTech カメラは追加のサブストリームをサポートしており、カメラ設定で有効化する必要があります。利用可能であればそれらのストリームを使用することを推奨します。"
+        },
+        "hikvision": {
+          "substreamWarning": "サブストリーム 1 は低解像度に固定されています。多くの Hikvision カメラは追加のサブストリームをサポートしており、カメラ設定で有効化する必要があります。利用可能であればそれらのストリームを使用することを推奨します。"
+        },
+        "noAudioWarning": "このストリームでは音声が検出されていません。録画には音声が含まれません。"
+      },
+      "ffmpegModuleDescription": "何度か試してもストリームが読み込まれない場合は、このオプションを有効にしてください。有効にすると、Frigate は go2rtc と併用して ffmpeg モジュールを使用します。一部のカメラストリームでは、互換性が向上する場合があります。"
+    }
+  },
+  "cameraManagement": {
+    "title": "カメラ管理",
+    "addCamera": "新しいカメラを追加",
+    "editCamera": "カメラを編集:",
+    "selectCamera": "カメラを選択",
+    "backToSettings": "カメラ設定に戻る",
+    "streams": {
+      "title": "カメラの有効化／無効化",
+      "desc": "Frigate を再起動するまで一時的にカメラを無効化します。無効化すると、このカメラのストリーム処理は完全に停止し、検出・録画・デバッグは利用できません。<br /> <em>注: これは go2rtc のリストリームを無効にはしません。</em>"
+    },
+    "cameraConfig": {
+      "add": "カメラを追加",
+      "edit": "カメラを編集",
+      "description": "ストリーム入力とロールを含むカメラ設定を構成します。",
+      "name": "カメラ名",
+      "nameRequired": "カメラ名は必須です",
+      "nameLength": "カメラ名は64文字未満である必要があります。",
+      "namePlaceholder": "例: front_door または Back Yard Overview",
+      "enabled": "有効",
+      "ffmpeg": {
+        "inputs": "入力ストリーム",
+        "path": "ストリームパス",
+        "pathRequired": "ストリームパスは必須です",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "ロール",
+        "rolesRequired": "少なくとも1つのロールが必要です",
+        "rolesUnique": "各ロール（audio、detect、record）は1つのストリームにのみ割り当て可能です",
+        "addInput": "入力ストリームを追加",
+        "removeInput": "入力ストリームを削除",
+        "inputsRequired": "少なくとも1つの入力ストリームが必要です"
+      },
+      "go2rtcStreams": "go2rtc ストリーム",
+      "streamUrls": "ストリーム URL",
+      "addUrl": "URL を追加",
+      "addGo2rtcStream": "go2rtc ストリームを追加",
+      "toast": {
+        "success": "カメラ {{cameraName}} を保存しました"
+      }
+    }
+  },
+  "cameraReview": {
+    "title": "カメラレビュー設定",
+    "object_descriptions": {
+      "title": "生成AIによるオブジェクト説明",
+      "desc": "このカメラに対する生成AIのオブジェクト説明を一時的に有効／無効にします。無効にすると、このカメラの追跡オブジェクトについてAI生成の説明は要求されません。"
+    },
+    "review_descriptions": {
+      "title": "生成AIによるレビュー説明",
+      "desc": "このカメラに対する生成AIのレビュー説明を一時的に有効／無効にします。無効にすると、このカメラのレビュー項目についてAI生成の説明は要求されません。"
+    },
+    "review": {
+      "title": "レビュー",
+      "desc": "Frigate を再起動するまで、このカメラのアラートと検出を一時的に有効／無効にします。無効にすると、新しいレビュー項目は生成されません。 ",
+      "alerts": "アラート ",
+      "detections": "検出 "
+    },
+    "reviewClassification": {
+      "title": "レビュー分類",
+      "desc": "Frigate はレビュー項目をアラートと検出に分類します。既定では、すべての <em>person</em> と <em>car</em> オブジェクトはアラートとして扱われます。必須ゾーンを設定することで、分類をより細かく調整できます。",
+      "noDefinedZones": "このカメラにはゾーンが定義されていません。",
+      "objectAlertsTips": "すべての {{alertsLabels}} オブジェクトは {{cameraName}} でアラートとして表示されます。",
+      "zoneObjectAlertsTips": "{{cameraName}} の {{zone}} で検出されたすべての {{alertsLabels}} オブジェクトはアラートとして表示されます。",
+      "objectDetectionsTips": "{{cameraName}} で分類されていないすべての {{detectionsLabels}} オブジェクトは、どのゾーンにあっても検出として表示されます。",
+      "zoneObjectDetectionsTips": {
+        "text": "{{cameraName}} の {{zone}} で分類されていないすべての {{detectionsLabels}} オブジェクトは検出として表示されます。",
+        "notSelectDetections": "{{cameraName}} の {{zone}} で検出され、アラートに分類されなかったすべての {{detectionsLabels}} オブジェクトは、ゾーンに関係なく検出として表示されます。",
+        "regardlessOfZoneObjectDetectionsTips": "{{cameraName}} で分類されていないすべての {{detectionsLabels}} オブジェクトは、どのゾーンにあっても検出として表示されます。"
+      },
+      "unsavedChanges": "未保存のレビュー分類設定（{{camera}}）",
+      "selectAlertsZones": "アラート用のゾーンを選択",
+      "selectDetectionsZones": "検出用のゾーンを選択",
+      "limitDetections": "特定のゾーンに検出を限定する",
+      "toast": {
+        "success": "レビュー分類の設定を保存しました。変更を適用するには Frigate を再起動してください。"
+      }
     }
   }
 }
diff --git a/web/public/locales/ja/views/system.json b/web/public/locales/ja/views/system.json
index 66c77021b..222b65b3c 100644
--- a/web/public/locales/ja/views/system.json
+++ b/web/public/locales/ja/views/system.json
@@ -3,7 +3,7 @@
     "cameras": "カメラ統計 - Frigate",
     "general": "一般統計 - Frigate",
     "storage": "ストレージ統計 - Frigate",
-    "enrichments": "エンリッチメント統計 - Frigate",
+    "enrichments": "高度解析統計 - Frigate",
     "logs": {
       "frigate": "Frigate ログ - Frigate",
       "go2rtc": "Go2RTC ログ - Frigate",
@@ -38,7 +38,7 @@
   "general": {
     "title": "全般",
     "detector": {
-      "title": "ディテクタ",
+      "title": "検出器",
       "inferenceSpeed": "ディテクタ推論速度",
       "temperature": "ディテクタ温度",
       "cpuUsage": "ディテクタの CPU 使用率",
@@ -76,7 +76,12 @@
         }
       },
       "npuUsage": "NPU 使用率",
-      "npuMemory": "NPU メモリ"
+      "npuMemory": "NPU メモリ",
+      "intelGpuWarning": {
+        "title": "Intel GPU 統計情報の警告",
+        "message": "GPU の統計情報を取得できません",
+        "description": "これは Intel の GPU 統計取得ツール（intel_gpu_top）における既知の不具合です。ハードウェアアクセラレーションやオブジェクト検出が (i)GPU 上で正しく動作している場合でも、GPU 使用率が 0% と繰り返し表示されることがあります。これは Frigate の不具合ではありません。ホストを再起動することで一時的に解消し、GPU が正常に動作していることを確認できます。本問題はパフォーマンスには影響しません。"
+      }
     },
     "otherProcesses": {
       "title": "その他のプロセス",
@@ -167,7 +172,7 @@
     "shmTooLow": "/dev/shm の割り当て（{{total}} MB）は少なくとも {{min}} MB に増やす必要があります。"
   },
   "enrichments": {
-    "title": "エンリッチメント",
+    "title": "高度解析",
     "infPerSecond": "毎秒推論回数",
     "embeddings": {
       "image_embedding": "画像埋め込み",
@@ -180,7 +185,17 @@
       "plate_recognition_speed": "ナンバープレート認識速度",
       "text_embedding_speed": "テキスト埋め込み速度",
       "yolov9_plate_detection_speed": "YOLOv9 ナンバープレート検出速度",
-      "yolov9_plate_detection": "YOLOv9 ナンバープレート検出"
-    }
+      "yolov9_plate_detection": "YOLOv9 ナンバープレート検出",
+      "review_description": "レビュー説明",
+      "review_description_speed": "レビュー説明の処理速度",
+      "review_description_events_per_second": "レビュー説明",
+      "object_description": "オブジェクト説明",
+      "object_description_speed": "オブジェクト説明の処理速度",
+      "object_description_events_per_second": "オブジェクト説明",
+      "classification": "{{name}} の分類",
+      "classification_speed": "{{name}} 分類の処理速度",
+      "classification_events_per_second": "{{name}} 分類の毎秒イベント数"
+    },
+    "averageInf": "平均推論時間"
   }
 }
diff --git a/web/public/locales/ko/audio.json b/web/public/locales/ko/audio.json
index 3f0992b47..d9db04e9f 100644
--- a/web/public/locales/ko/audio.json
+++ b/web/public/locales/ko/audio.json
@@ -1,9 +1,9 @@
 {
   "crying": "울음",
   "snoring": "코골이",
-  "singing": "노래하기",
+  "singing": "노래",
   "yell": "비명",
-  "speech": "발표",
+  "speech": "말소리",
   "babbling": "옹알이",
   "bicycle": "자전거",
   "a_capella": "아카펠라",
@@ -11,5 +11,62 @@
   "accordion": "아코디언",
   "acoustic_guitar": "어쿠스틱 기타",
   "car": "차량",
-  "motorcycle": "원동기"
+  "motorcycle": "원동기",
+  "bus": "버스",
+  "train": "기차",
+  "boat": "보트",
+  "bird": "새",
+  "cat": "고양이",
+  "dog": "강아지",
+  "horse": "말",
+  "sheep": "양",
+  "skateboard": "스케이트보드",
+  "door": "문",
+  "mouse": "마우스",
+  "keyboard": "키보드",
+  "sink": "싱크대",
+  "blender": "블렌더",
+  "clock": "벽시계",
+  "scissors": "가위",
+  "hair_dryer": "헤어 드라이어",
+  "toothbrush": "칫솔",
+  "vehicle": "탈 것",
+  "animal": "동물",
+  "bark": "개",
+  "goat": "염소",
+  "bellow": "포효",
+  "whoop": "환성",
+  "whispering": "속삭임",
+  "laughter": "웃음",
+  "snicker": "낄낄 웃음",
+  "sigh": "한숨",
+  "choir": "합창",
+  "yodeling": "요들링",
+  "chant": "성가",
+  "mantra": "만트라",
+  "child_singing": "어린이 노래",
+  "synthetic_singing": "Synthetic Singing",
+  "rapping": "랩",
+  "humming": "허밍",
+  "groan": "신음",
+  "grunt": "으르렁",
+  "whistling": "휘파람",
+  "breathing": "숨쉬는 소리",
+  "wheeze": "헐떡임",
+  "gasp": "헐떡임",
+  "pant": "거친숨",
+  "snort": "코골이",
+  "cough": "기침",
+  "throat_clearing": "목 긁는 소리",
+  "sneeze": "재채기",
+  "sniff": "훌쩍",
+  "run": "달리기",
+  "shuffle": "Shuffle",
+  "footsteps": "발소리",
+  "chewing": "씹는 소리",
+  "biting": "치는 소리",
+  "gargling": "가글",
+  "stomach_rumble": "배 꼬르륵",
+  "burping": "트림",
+  "camera": "카메라"
 }
diff --git a/web/public/locales/ko/common.json b/web/public/locales/ko/common.json
index 29eae6ae4..e5c8ef9a9 100644
--- a/web/public/locales/ko/common.json
+++ b/web/public/locales/ko/common.json
@@ -10,18 +10,262 @@
     "30minutes": "30분",
     "5minutes": "5분",
     "untilRestart": "재시작 될 때까지",
-    "ago": "{{timeAgo}} 전"
+    "ago": "{{timeAgo}} 전",
+    "justNow": "지금 막",
+    "today": "오늘",
+    "yesterday": "어제",
+    "last7": "최근 7일",
+    "last14": "최근 14일",
+    "last30": "최근 30일",
+    "thisWeek": "이번 주",
+    "lastWeek": "저번 주",
+    "thisMonth": "이번 달",
+    "lastMonth": "저번 달",
+    "pm": "오후",
+    "am": "오전",
+    "yr": "{{time}}년",
+    "year_other": "{{time}} 년",
+    "mo": "{{time}}월",
+    "month_other": "{{time}} 월",
+    "d": "{{time}}일",
+    "day_other": "{{time}} 일",
+    "h": "{{time}}시",
+    "hour_other": "{{time}} 시",
+    "m": "{{time}}분",
+    "minute_other": "{{time}} 분",
+    "s": "{{time}}초",
+    "second_other": "{{time}} 초",
+    "formattedTimestamp": {
+      "12hour": "MMM d, h:mm:ss aaa",
+      "24hour": "MMM d, HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "MM/dd h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "MMM d, h:mm aaa",
+      "24hour": "MMM d, HH:mm"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "MMM d, yyyy",
+      "24hour": "MMM d, yyyy"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "MMM d yyyy, h:mm aaa",
+      "24hour": "MMM d yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "MMM d",
+    "formattedTimestampFilename": {
+      "12hour": "MM-dd-yy-h-mm-ss-a",
+      "24hour": "MM-dd-yy-HH-mm-ss"
+    }
   },
   "notFound": {
-    "title": "404"
+    "title": "404",
+    "documentTitle": "찾을 수 없음 - Frigate",
+    "desc": "페이지 찾을 수 없음"
   },
   "accessDenied": {
     "title": "접근 거부",
-    "documentTitle": "접근 거부 - Frigate"
+    "documentTitle": "접근 거부 - Frigate",
+    "desc": "이 페이지 접근 권한이 없습니다."
   },
   "menu": {
     "user": {
-      "account": "계정"
+      "account": "계정",
+      "title": "사용자",
+      "current": "현재 사용자:{{user}}",
+      "anonymous": "익명",
+      "logout": "로그아웃",
+      "setPassword": "비밀번호 설정"
+    },
+    "system": "시스템",
+    "systemMetrics": "시스템 지표",
+    "configuration": "설정",
+    "systemLogs": "시스템 로그",
+    "settings": "설정",
+    "configurationEditor": "설정 편집기",
+    "languages": "언어",
+    "language": {
+      "en": "English (English)",
+      "es": "Español (Spanish)",
+      "zhCN": "简体中文 (Simplified Chinese)",
+      "hi": "हिन्दी (Hindi)",
+      "fr": "Français (French)",
+      "ar": "العربية (Arabic)",
+      "pt": "Português (Portuguese)",
+      "ptBR": "Português brasileiro (Brazilian Portuguese)",
+      "ru": "Русский (Russian)",
+      "de": "Deutsch (German)",
+      "ja": "日本語 (Japanese)",
+      "tr": "Türkçe (Turkish)",
+      "it": "Italiano (Italian)",
+      "nl": "Nederlands (Dutch)",
+      "sv": "Svenska (Swedish)",
+      "cs": "Čeština (Czech)",
+      "nb": "Norsk Bokmål (Norwegian Bokmål)",
+      "ko": "한국어 (Korean)",
+      "vi": "Tiếng Việt (Vietnamese)",
+      "fa": "فارسی (Persian)",
+      "pl": "Polski (Polish)",
+      "uk": "Українська (Ukrainian)",
+      "he": "עברית (Hebrew)",
+      "el": "Ελληνικά (Greek)",
+      "ro": "Română (Romanian)",
+      "hu": "Magyar (Hungarian)",
+      "fi": "Suomi (Finnish)",
+      "da": "Dansk (Danish)",
+      "sk": "Slovenčina (Slovak)",
+      "yue": "粵語 (Cantonese)",
+      "th": "ไทย (Thai)",
+      "ca": "Català (Catalan)",
+      "sr": "Српски (Serbian)",
+      "sl": "Slovenščina (Slovenian)",
+      "lt": "Lietuvių (Lithuanian)",
+      "bg": "Български (Bulgarian)",
+      "gl": "Galego (Galician)",
+      "id": "Bahasa Indonesia (Indonesian)",
+      "ur": "اردو (Urdu)",
+      "withSystem": {
+        "label": "시스템 설정 언어 사용"
+      }
+    },
+    "appearance": "화면 설정",
+    "darkMode": {
+      "label": "다크 모드",
+      "light": "라이트",
+      "dark": "다크",
+      "withSystem": {
+        "label": "시스템 설정에 따라 설정"
+      }
+    },
+    "withSystem": "시스템",
+    "theme": {
+      "label": "테마",
+      "blue": "파랑",
+      "green": "녹색",
+      "nord": "노드 (Nord)",
+      "red": "빨강",
+      "highcontrast": "고 대비",
+      "default": "기본값"
+    },
+    "help": "도움말",
+    "documentation": {
+      "title": "문서",
+      "label": "Frigate 문서"
+    },
+    "restart": "Frigate 재시작",
+    "live": {
+      "title": "실시간",
+      "allCameras": "모든 카메라",
+      "cameras": {
+        "title": "카메라",
+        "count_other": "{{count}} 카메라"
+      }
+    },
+    "review": "다시보기",
+    "explore": "탐색",
+    "export": "내보내기",
+    "uiPlayground": "UI 실험장",
+    "faceLibrary": "얼굴 라이브러리"
+  },
+  "unit": {
+    "speed": {
+      "mph": "mph",
+      "kph": "km/h"
+    },
+    "length": {
+      "feet": "피트",
+      "meters": "미터"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/hour",
+      "mbph": "MB/hour",
+      "gbph": "GB/hour"
     }
+  },
+  "label": {
+    "back": "뒤로"
+  },
+  "button": {
+    "apply": "적용",
+    "reset": "리셋",
+    "done": "완료",
+    "enabled": "활성화됨",
+    "enable": "활성화",
+    "disabled": "비활성화됨",
+    "disable": "비활성화",
+    "save": "저장",
+    "saving": "저장 중…",
+    "cancel": "취소",
+    "close": "닫기",
+    "copy": "복사",
+    "back": "뒤로",
+    "history": "히스토리",
+    "fullscreen": "전체화면",
+    "exitFullscreen": "전체화면 나가기",
+    "pictureInPicture": "Picture in Picture",
+    "twoWayTalk": "양방향 말하기",
+    "cameraAudio": "카메라 오디오",
+    "on": "켜기",
+    "off": "끄기",
+    "edit": "편집",
+    "copyCoordinates": "코디네이트 복사",
+    "delete": "삭제",
+    "yes": "예",
+    "no": "아니오",
+    "download": "다운로드",
+    "info": "정보",
+    "suspended": "일시 정지됨",
+    "unsuspended": "재개",
+    "play": "재생",
+    "unselect": "선택 해제",
+    "export": "내보내기",
+    "deleteNow": "바로 삭제하기",
+    "next": "다음"
+  },
+  "toast": {
+    "copyUrlToClipboard": "클립보드에 URL이 복사되었습니다.",
+    "save": {
+      "title": "저장",
+      "error": {
+        "title": "설정 저장 실패: {{errorMessage}}",
+        "noMessage": "설정 저장이 실패했습니다"
+      }
+    }
+  },
+  "role": {
+    "title": "역할",
+    "admin": "관리자",
+    "viewer": "감시자",
+    "desc": "관리자는 Frigate UI에 모든 접근 권한이 있습니다. 감시자는 카메라 감시, 돌아보기, 과거 영상 조회만 가능합니다."
+  },
+  "pagination": {
+    "label": "나눠보기",
+    "previous": {
+      "title": "이전",
+      "label": "이전 페이지"
+    },
+    "next": {
+      "title": "다음",
+      "label": "다음 페이지"
+    },
+    "more": "더 많은 페이지"
+  },
+  "selectItem": "{{item}} 선택",
+  "information": {
+    "pixels": "{{area}}px"
   }
 }
diff --git a/web/public/locales/ko/components/auth.json b/web/public/locales/ko/components/auth.json
index d0b29a82a..65df51e36 100644
--- a/web/public/locales/ko/components/auth.json
+++ b/web/public/locales/ko/components/auth.json
@@ -1,11 +1,11 @@
 {
   "form": {
     "user": "사용자명",
-    "password": "패스워드",
+    "password": "비밀번호",
     "login": "로그인",
     "errors": {
       "usernameRequired": "사용자명은 필수입니다",
-      "passwordRequired": "패스워드는 필수입니다",
+      "passwordRequired": "비밀번호는 필수입니다",
       "rateLimit": "너무 많이 시도했습니다. 다음에 다시 시도하세요.",
       "loginFailed": "로그인 실패",
       "unknownError": "알려지지 않은 에러. 로그를 확인하세요.",
diff --git a/web/public/locales/ko/components/camera.json b/web/public/locales/ko/components/camera.json
index a04bcaf34..67b1a2ee6 100644
--- a/web/public/locales/ko/components/camera.json
+++ b/web/public/locales/ko/components/camera.json
@@ -4,7 +4,83 @@
     "add": "카메라 그룹 추가",
     "edit": "카메라 그룹 편집",
     "delete": {
-      "label": "카메라 그룹 삭제"
+      "label": "카메라 그룹 삭제",
+      "confirm": {
+        "title": "삭제 확인",
+        "desc": "정말로 카메라 그룹을 삭제하시겠습니까 <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "이름",
+      "placeholder": "이름을 입력하세요…",
+      "errorMessage": {
+        "mustLeastCharacters": "카메라 그룹 이름은 최소 2자 이상 써야합니다.",
+        "exists": "이미 존재하는 카메라 그룹 이름입니다.",
+        "nameMustNotPeriod": "카메라 그룹 이름에 마침표(.)를 넣을 수 없습니다.",
+        "invalid": "설정 불가능한 카메라 그룹 이름."
+      }
+    },
+    "cameras": {
+      "label": "카메라",
+      "desc": "이 그룹에 넣을 카메라 선택하기."
+    },
+    "icon": "아이콘",
+    "success": "카메라 그룹 {{name}} 저장되었습니다.",
+    "camera": {
+      "birdseye": "버드아이",
+      "setting": {
+        "label": "카메라 스트리밍 설정",
+        "title": "{{cameraName}} 스트리밍 설정",
+        "desc": "카메라 그룹 대시보드의 실시간 스트리밍 옵션을 변경하세요. <em>이 설정은 기기/브라우저에 따라 다릅니다.</em>",
+        "audioIsAvailable": "이 카메라는 오디오 기능을 사용할 수 있습니다",
+        "audioIsUnavailable": "이 카메라는 오디오 기능을 사용할 수 없습니다",
+        "audio": {
+          "tips": {
+            "title": "오디오를 출력하려면 카메라가 지원하거나 go2rtc에서 설정해야합니다."
+          }
+        },
+        "stream": "스트림",
+        "placeholder": "스트림 선택",
+        "streamMethod": {
+          "label": "스트리밍 방식",
+          "placeholder": "스트리밍 방식 선택",
+          "method": {
+            "noStreaming": {
+              "label": "스트리밍 없음",
+              "desc": "카메라 이미지는 1분에 한 번만 보여지며 라이브 스트리밍은 되지 않습니다."
+            },
+            "smartStreaming": {
+              "label": "스마트 스트리밍 (추천함)",
+              "desc": "스마트 스트리밍은 감지되는 활동이 없을 때 대역폭과 자원을 절약하기 위해 1분마다 한 번 카메라 이미지를 업데이트합니다. 활동이 감지되면, 이미지는 자동으로 라이브 스트림으로 원활하게 전환됩니다."
+            },
+            "continuousStreaming": {
+              "label": "지속적인 스트리밍",
+              "desc": {
+                "title": "활동이 감지되지 않더라도 카메라 이미지가 대시보드에서 항상 실시간 스트림됩니다.",
+                "warning": "지속적인 스트리밍은 높은 대역폭 사용과 퍼포먼스 이슈를 발생할 수 있습니다. 사용에 주의해주세요."
+              }
+            }
+          }
+        },
+        "compatibilityMode": {
+          "label": "호환 모드",
+          "desc": "이 옵션은 카메라 라이브 스트림 화면의 색상이 왜곡 되었거나 이미지 오른쪽에 대각선이 나타날때만 사용하세요."
+        }
+      }
     }
+  },
+  "debug": {
+    "options": {
+      "label": "설정",
+      "title": "옵션",
+      "showOptions": "옵션 보기",
+      "hideOptions": "옵션 숨기기"
+    },
+    "boundingBox": "감지 영역 상자",
+    "timestamp": "시간 기록",
+    "zones": "구역 (Zones)",
+    "mask": "마스크",
+    "motion": "움직임",
+    "regions": "영역 (Regions)"
   }
 }
diff --git a/web/public/locales/ko/components/dialog.json b/web/public/locales/ko/components/dialog.json
index 9e562d24e..f701526ef 100644
--- a/web/public/locales/ko/components/dialog.json
+++ b/web/public/locales/ko/components/dialog.json
@@ -1,10 +1,92 @@
 {
   "restart": {
-    "title": "Frigate를 정말로 다시 시작할까요?",
+    "title": "Frigate을 정말로 다시 시작할까요?",
     "button": "재시작",
     "restarting": {
-      "title": "Frigate가 재시작 중입니다",
-      "content": "이 페이지는 {{countdown}} 뒤에 새로 고침 됩니다."
+      "title": "Frigate이 재시작 중입니다",
+      "content": "이 페이지는 {{countdown}} 뒤에 새로 고침 됩니다.",
+      "button": "강제 재시작"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Frigate+에 등록하기"
+      },
+      "review": {
+        "question": {
+          "label": "Frigate +에 이 레이블 등록하기"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "히스토리 보기"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "타임라인에서 선택하기",
+      "lastHour_other": "지난 시간",
+      "custom": "커스텀",
+      "start": {
+        "title": "시작 시간",
+        "label": "시작 시간 선택"
+      },
+      "end": {
+        "title": "종료 시간",
+        "label": "종료 시간 선택"
+      }
+    },
+    "name": {
+      "placeholder": "내보내기 이름"
+    },
+    "select": "선택",
+    "export": "내보내기",
+    "selectOrExport": "선택 또는 내보내기",
+    "toast": {
+      "success": "내보내기가 성공적으로 시작되었습니다. /exports 폴더에서 파일을 보실 수 있습니다.",
+      "error": {
+        "failed": "내보내기 시작 실패:{{error}}",
+        "endTimeMustAfterStartTime": "종료 시간은 시작 시간보다 뒤에 있어야합니다",
+        "noVaildTimeSelected": "유효한 시간 범위가 선택되지 않았습니다"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "내보내기 저장",
+      "previewExport": "내보내기 미리보기"
+    }
+  },
+  "streaming": {
+    "label": "스트림",
+    "restreaming": {
+      "disabled": "이 카메라는 재 스트리밍이 되지 않습니다.",
+      "desc": {
+        "title": "이 카메라를 위해 추가적인 라이브 뷰 옵션과 오디오를 go2rtc에서 설정하세요."
+      }
+    },
+    "showStats": {
+      "label": "스트림 통계 보기",
+      "desc": "이 옵션을 활성화하면 스트림 통계가 카메라 피드에 나타납니다."
+    },
+    "debugView": "디버그 뷰"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "검색 저장",
+      "desc": "저장된 검색에 이름을 지정해주세요.",
+      "placeholder": "검색에 이름 입력하기",
+      "overwrite": "{{searchName}} (이/가) 이미 존재합니다. 값을 덮어 씌웁니다.",
+      "success": "{{searchName}} 검색이 저장되었습니다.",
+      "button": {
+        "save": {
+          "label": "이 검색 저장하기"
+        }
+      }
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "삭제 확인"
     }
   }
 }
diff --git a/web/public/locales/ko/components/filter.json b/web/public/locales/ko/components/filter.json
index c0d378839..942b97c7d 100644
--- a/web/public/locales/ko/components/filter.json
+++ b/web/public/locales/ko/components/filter.json
@@ -1,3 +1,39 @@
 {
-  "filter": "필터"
+  "filter": "필터",
+  "labels": {
+    "label": "레이블",
+    "all": {
+      "title": "모든 레이블",
+      "short": "레이블"
+    }
+  },
+  "zones": {
+    "label": "구역",
+    "all": {
+      "title": "모든 구역",
+      "short": "구역"
+    }
+  },
+  "dates": {
+    "selectPreset": "프리셋 선택",
+    "all": {
+      "title": "모든 날짜",
+      "short": "날짜"
+    }
+  },
+  "timeRange": "시간 구역",
+  "subLabels": {
+    "label": "서브 레이블",
+    "all": "모든 서브 레이블"
+  },
+  "more": "더 많은 필터",
+  "classes": {
+    "label": "분류",
+    "all": {
+      "title": "모든 분류"
+    }
+  },
+  "reset": {
+    "label": "기본값으로 필터 초기화"
+  }
 }
diff --git a/web/public/locales/ko/components/input.json b/web/public/locales/ko/components/input.json
index b697d11da..00a19b702 100644
--- a/web/public/locales/ko/components/input.json
+++ b/web/public/locales/ko/components/input.json
@@ -3,7 +3,7 @@
     "downloadVideo": {
       "label": "비디오 다운로드",
       "toast": {
-        "success": "선택한 비디오들의 다운로드가 시작되었습니다."
+        "success": "다시보기 항목 다운로드가 시작되었습니다."
       }
     }
   }
diff --git a/web/public/locales/ko/components/player.json b/web/public/locales/ko/components/player.json
index 1d8cddaff..38ef7daac 100644
--- a/web/public/locales/ko/components/player.json
+++ b/web/public/locales/ko/components/player.json
@@ -1,7 +1,7 @@
 {
   "submitFrigatePlus": {
     "submit": "제출",
-    "title": "이 프레임을 Frigate+로 전송하시겠습니까?"
+    "title": "이 프레임을 Frigate+에 제출하시겠습니까?"
   },
   "stats": {
     "bandwidth": {
@@ -10,17 +10,42 @@
     },
     "latency": {
       "short": {
-        "title": "지연"
+        "title": "지연",
+        "value": "{{seconds}} 초"
       },
-      "title": "지연:"
+      "title": "지연:",
+      "value": "{{seconds}} 초"
     },
     "streamType": {
       "short": "종류",
       "title": "스트림 종류:"
     },
-    "totalFrames": "총 프레임:"
+    "totalFrames": "총 프레임:",
+    "droppedFrames": {
+      "title": "손실 프레임:",
+      "short": {
+        "title": "손실됨",
+        "value": "{{droppedFrames}} 프레임"
+      }
+    },
+    "decodedFrames": "복원된 프레임:",
+    "droppedFrameRate": "프레임 손실률:"
   },
-  "noRecordingsFoundForThisTime": "이 시간에는 녹화본이 없습니다",
-  "noPreviewFound": "미리 보기가 없습니다",
-  "noPreviewFoundFor": "{{cameraName}}에 미리보기가 없습니다"
+  "noRecordingsFoundForThisTime": "이 시간대에는 녹화본이 없습니다",
+  "noPreviewFound": "미리 보기를 찾을 수 없습니다",
+  "noPreviewFoundFor": "{{cameraName}}에 미리보기를 찾을 수 없습니다",
+  "livePlayerRequiredIOSVersion": "이 라이브 스트림 방식은 iOS 17.1 이거나 높은 버전이 필요합니다.",
+  "streamOffline": {
+    "title": "스트림 오프라인",
+    "desc": "{{cameraName}} 카메라에 <code>감지(detect)</code> 스트림의 프레임을 얻지 못했습니다. 에러 로그를 확인하세요"
+  },
+  "cameraDisabled": "카메라를 이용할 수 없습니다",
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Frigate+에 프레임이 성공적으로 제출됐습니다"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Frigate+에 프레임을 보내지 못했습니다"
+    }
+  }
 }
diff --git a/web/public/locales/ko/objects.json b/web/public/locales/ko/objects.json
index 769a51276..e3506b15d 100644
--- a/web/public/locales/ko/objects.json
+++ b/web/public/locales/ko/objects.json
@@ -2,5 +2,119 @@
   "person": "사람",
   "bicycle": "자전거",
   "car": "차량",
-  "motorcycle": "원동기"
+  "motorcycle": "원동기",
+  "airplane": "비행기",
+  "bus": "버스",
+  "train": "기차",
+  "boat": "보트",
+  "traffic_light": "신호등",
+  "fire_hydrant": "소화전",
+  "street_sign": "도로 표지판",
+  "stop_sign": "정지 표지판",
+  "parking_meter": "주차 요금 정산기",
+  "bench": "벤치",
+  "bird": "새",
+  "cat": "고양이",
+  "dog": "강아지",
+  "horse": "말",
+  "sheep": "양",
+  "cow": "소",
+  "elephant": "코끼리",
+  "bear": "곰",
+  "zebra": "얼룩말",
+  "giraffe": "기린",
+  "hat": "모자",
+  "backpack": "백팩",
+  "umbrella": "우산",
+  "shoe": "신발",
+  "eye_glasses": "안경",
+  "handbag": "핸드백",
+  "tie": "타이",
+  "suitcase": "슈트케이스",
+  "frisbee": "프리스비",
+  "skis": "스키",
+  "snowboard": "스노우보드",
+  "sports_ball": "스포츠 볼",
+  "kite": "연",
+  "baseball_bat": "야구 방망이",
+  "baseball_glove": "야구 글로브",
+  "skateboard": "스케이트보드",
+  "surfboard": "서핑보드",
+  "tennis_racket": "테니스 라켓",
+  "bottle": "병",
+  "plate": "번호판",
+  "wine_glass": "와인잔",
+  "cup": "컵",
+  "fork": "포크",
+  "knife": "칼",
+  "spoon": "숟가락",
+  "bowl": "보울",
+  "banana": "바나나",
+  "apple": "사과",
+  "sandwich": "샌드위치",
+  "orange": "오렌지",
+  "broccoli": "브로콜리",
+  "carrot": "당근",
+  "hot_dog": "핫도그",
+  "pizza": "피자",
+  "donut": "도넛",
+  "cake": "케이크",
+  "chair": "의자",
+  "couch": "소파",
+  "potted_plant": "화분",
+  "bed": "침대",
+  "mirror": "거울",
+  "dining_table": "식탁",
+  "window": "창문",
+  "desk": "책상",
+  "toilet": "화장실",
+  "door": "문",
+  "tv": "TV",
+  "laptop": "랩탑",
+  "mouse": "마우스",
+  "remote": "리모콘",
+  "keyboard": "키보드",
+  "cell_phone": "휴대폰",
+  "microwave": "전자레인지",
+  "oven": "오븐",
+  "toaster": "토스터기",
+  "sink": "싱크대",
+  "refrigerator": "냉장고",
+  "blender": "블렌더",
+  "book": "책",
+  "clock": "벽시계",
+  "vase": "꽃병",
+  "scissors": "가위",
+  "teddy_bear": "테디베어",
+  "hair_dryer": "헤어 드라이어",
+  "toothbrush": "칫솔",
+  "hair_brush": "빗",
+  "vehicle": "탈 것",
+  "squirrel": "다람쥐",
+  "deer": "사슴",
+  "animal": "동물",
+  "bark": "개",
+  "fox": "여우",
+  "goat": "염소",
+  "rabbit": "토끼",
+  "raccoon": "라쿤",
+  "robot_lawnmower": "로봇 잔디깎기",
+  "waste_bin": "쓰레기통",
+  "on_demand": "수동",
+  "face": "얼굴",
+  "license_plate": "차량 번호판",
+  "package": "패키지",
+  "bbq_grill": "바베큐 그릴",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "purolator": "Purolator",
+  "postnl": "PostNL",
+  "nzpost": "NZPost",
+  "postnord": "PostNord",
+  "gls": "GLS",
+  "dpd": "DPD"
 }
diff --git a/web/public/locales/ko/views/classificationModel.json b/web/public/locales/ko/views/classificationModel.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ko/views/classificationModel.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ko/views/configEditor.json b/web/public/locales/ko/views/configEditor.json
index 30311c9b7..bb8a84c2a 100644
--- a/web/public/locales/ko/views/configEditor.json
+++ b/web/public/locales/ko/views/configEditor.json
@@ -1,5 +1,18 @@
 {
   "documentTitle": "설정 편집기 - Frigate",
   "configEditor": "설정 편집기",
-  "safeConfigEditor": "설정 편집기 (안전 모드)"
+  "safeConfigEditor": "설정 편집기 (안전 모드)",
+  "safeModeDescription": "설정 오류로 인해 Frigate가 안전 모드로 전환되었습니다.",
+  "copyConfig": "설정 복사",
+  "saveAndRestart": "저장 & 재시작",
+  "saveOnly": "저장만 하기",
+  "confirm": "저장 없이 나갈까요?",
+  "toast": {
+    "success": {
+      "copyToClipboard": "설정이 클립보드에 저장되었습니다."
+    },
+    "error": {
+      "savingError": "설정 저장 오류"
+    }
+  }
 }
diff --git a/web/public/locales/ko/views/events.json b/web/public/locales/ko/views/events.json
index c5b16d90f..971494a81 100644
--- a/web/public/locales/ko/views/events.json
+++ b/web/public/locales/ko/views/events.json
@@ -1,8 +1,51 @@
 {
-  "alerts": "알림",
-  "detections": "탐지",
+  "alerts": "경보",
+  "detections": "대상 감지",
   "motion": {
-    "label": "움직임",
-    "only": "움직임만"
-  }
+    "label": "움직임 감지",
+    "only": "움직임 감지만"
+  },
+  "allCameras": "모든 카메라",
+  "empty": {
+    "alert": "다시 볼 '경보' 영상이 없습니다",
+    "detection": "다시 볼 '대상 감지' 영상이 없습니다",
+    "motion": "움직임 감지 데이터가 없습니다"
+  },
+  "timeline": "타임라인",
+  "timeline.aria": "타임라인 선택",
+  "events": {
+    "label": "이벤트",
+    "aria": "이벤트 선택",
+    "noFoundForTimePeriod": "이 시간대에 이벤트가 없습니다."
+  },
+  "detail": {
+    "noDataFound": "다시 볼 상세 데이터가 없습니다",
+    "aria": "상세 보기",
+    "trackedObject_one": "추적 대상",
+    "trackedObject_other": "추적 대상",
+    "noObjectDetailData": "상세 보기 데이터가 없습니다."
+  },
+  "objectTrack": {
+    "trackedPoint": "추적 포인트",
+    "clickToSeek": "이 시점으로 이동"
+  },
+  "documentTitle": "다시 보기 - Frigate",
+  "recordings": {
+    "documentTitle": "녹화 - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "최근 24시간"
+  },
+  "markAsReviewed": "'다시 봤음'으로 표시",
+  "markTheseItemsAsReviewed": "이 영상들을 '다시 봤음'으로 표시",
+  "newReviewItems": {
+    "label": "새로운 '다시 보기' 영상 보기",
+    "button": "새로운 '다시 보기' 영상"
+  },
+  "selected_one": "{{count}} 선택됨",
+  "selected_other": "{{count}} 선택됨",
+  "camera": "카메라",
+  "detected": "감지됨",
+  "suspiciousActivity": "수상한 행동",
+  "threateningActivity": "위협적인 행동"
 }
diff --git a/web/public/locales/ko/views/explore.json b/web/public/locales/ko/views/explore.json
index 17aee9232..231eade30 100644
--- a/web/public/locales/ko/views/explore.json
+++ b/web/public/locales/ko/views/explore.json
@@ -1,4 +1,31 @@
 {
   "documentTitle": "탐색 - Frigate",
-  "generativeAI": "생성형 AI"
+  "generativeAI": "생성형 AI",
+  "exploreMore": "{{label}} 더 많은 감지 대상 탐색하기",
+  "exploreIsUnavailable": {
+    "title": "탐색을 사용할 수 없습니다",
+    "embeddingsReindexing": {
+      "context": "감지 정보 재처리가 완료되면 탐색할 수 있습니다.",
+      "startingUp": "시작 중…",
+      "estimatedTime": "예상 남은시간:",
+      "finishingShortly": "곧 완료됩니다",
+      "step": {
+        "thumbnailsEmbedded": "처리된 썸네일: ",
+        "descriptionsEmbedded": "처리된 설명: ",
+        "trackedObjectsProcessed": "처리된 추적 감지: "
+      }
+    },
+    "downloadingModels": {
+      "context": "Frigate가 시맨틱 검색 기능을 지원하기 위해 필요한 임베딩 모델을 다운로드하고 있습니다. 네트워크 연결 속도에 따라 몇 분 정도 소요될 수 있습니다.",
+      "setup": {
+        "visionModel": "Vision model",
+        "visionModelFeatureExtractor": "Vision model feature extractor",
+        "textModel": "Text model",
+        "textTokenizer": "Text tokenizer"
+      }
+    }
+  },
+  "details": {
+    "timestamp": "시간 기록"
+  }
 }
diff --git a/web/public/locales/ko/views/exports.json b/web/public/locales/ko/views/exports.json
index adc9fc3b1..f4c902602 100644
--- a/web/public/locales/ko/views/exports.json
+++ b/web/public/locales/ko/views/exports.json
@@ -2,7 +2,7 @@
   "documentTitle": "내보내기 - Frigate",
   "search": "검색",
   "noExports": "내보내기가 없습니다",
-  "deleteExport": "내보내기 제거",
+  "deleteExport": "내보내기 삭제",
   "deleteExport.desc": "{{exportName}}을 지우시겠습니까?",
   "editExport": {
     "title": "내보내기 이름 변경",
diff --git a/web/public/locales/ko/views/faceLibrary.json b/web/public/locales/ko/views/faceLibrary.json
index 09b5d1a2a..e1204d852 100644
--- a/web/public/locales/ko/views/faceLibrary.json
+++ b/web/public/locales/ko/views/faceLibrary.json
@@ -1,10 +1,84 @@
 {
   "description": {
     "placeholder": "이 모음집의 이름을 입력해주세요",
-    "addFace": "얼굴 라이브러리에 새 컬렉션 추가하는 방법을 단계별로 알아보세요.",
+    "addFace": "얼굴 라이브러리에 새 모음집 추가하는 방법을 단계별로 알아보세요.",
     "invalidName": "잘못된 이름입니다. 이름은 문자, 숫자, 공백, 따옴표 ('), 밑줄 (_), 그리고 붙임표 (-)만 포함이 가능합니다."
   },
   "details": {
-    "person": "사람"
+    "person": "사람",
+    "subLabelScore": "보조 레이블 신뢰도",
+    "face": "얼굴 상세정보",
+    "timestamp": "시간 기록",
+    "unknown": "알 수 없음"
+  },
+  "selectItem": "{{item}} 선택",
+  "documentTitle": "얼굴 라이브러리 - Frigate",
+  "uploadFaceImage": {
+    "title": "얼굴 사진 올리기"
+  },
+  "collections": "모음집",
+  "createFaceLibrary": {
+    "title": "모음집 만들기",
+    "desc": "새로운 모음집 만들기",
+    "new": "새 얼굴 만들기"
+  },
+  "steps": {
+    "faceName": "얼굴 이름 입력",
+    "uploadFace": "얼굴 사진 올리기",
+    "nextSteps": "다음 단계"
+  },
+  "train": {
+    "title": "학습",
+    "aria": "학습 선택"
+  },
+  "selectFace": "얼굴 선택",
+  "deleteFaceLibrary": {
+    "title": "이름 삭제"
+  },
+  "deleteFaceAttempts": {
+    "title": "얼굴 삭제"
+  },
+  "renameFace": {
+    "title": "얼굴 이름 바꾸기",
+    "desc": "{{name}}의 새 이름을 입력하세요"
+  },
+  "button": {
+    "deleteFaceAttempts": "얼굴 삭제",
+    "addFace": "얼굴 추가",
+    "renameFace": "얼굴 이름 바꾸기",
+    "deleteFace": "얼굴 삭제",
+    "uploadImage": "이미지 올리기",
+    "reprocessFace": "얼굴 재조정"
+  },
+  "imageEntry": {
+    "validation": {
+      "selectImage": "이미지 파일을 선택해주세요."
+    },
+    "dropActive": "여기에 이미지 놓기…",
+    "dropInstructions": "이미지를 끌어다 놓거나 여기에 붙여넣으세요. 선택할 수도 있습니다.",
+    "maxSize": "최대 용량: {{size}}MB"
+  },
+  "nofaces": "얼굴을 찾을 수 없습니다",
+  "pixels": "{{area}}px",
+  "trainFaceAs": "얼굴을 다음과 같이 훈련하기:",
+  "trainFace": "얼굴 훈련하기",
+  "toast": {
+    "success": {
+      "uploadedImage": "이미지 업로드에 성공했습니다.",
+      "addFaceLibrary": "{{name}} 을 성공적으로 얼굴 라이브러리에 추가했습니다!",
+      "deletedFace_other": "{{count}} 얼굴을 성공적으로 삭제했습니다.",
+      "renamedFace": "얼굴 이름을 {{name}} 으로 성공적으로 바꿨습니다",
+      "trainedFace": "얼굴 훈련을 성공적으로 마쳤습니다.",
+      "updatedFaceScore": "얼굴 신뢰도를 성공적으로 업데이트 했습니다."
+    },
+    "error": {
+      "uploadingImageFailed": "이미지 업로드 실패:{{errorMessage}}",
+      "addFaceLibraryFailed": "얼굴 이름 설정 실패:{{errorMessage}}",
+      "deleteFaceFailed": "삭제 실패:{{errorMessage}}",
+      "deleteNameFailed": "이름 삭제 실패:{{errorMessage}}",
+      "renameFaceFailed": "이름 바꾸기 실패:{{errorMessage}}",
+      "trainFailed": "훈련 실패:{{errorMessage}}",
+      "updateFaceScoreFailed": "얼굴 신뢰도 업데이트 실패:{{errorMessage}}"
+    }
   }
 }
diff --git a/web/public/locales/ko/views/live.json b/web/public/locales/ko/views/live.json
index 835a4a7f9..bfc44d18f 100644
--- a/web/public/locales/ko/views/live.json
+++ b/web/public/locales/ko/views/live.json
@@ -1,8 +1,183 @@
 {
-  "documentTitle": "실시간 - Frigate",
-  "documentTitle.withCamera": "실시간 - {{camera}} - Frigate",
+  "documentTitle": "실시간 보기 - Frigate",
+  "documentTitle.withCamera": "{{camera}} - 실시간 보기 - Frigate",
   "lowBandwidthMode": "저대역폭 모드",
   "twoWayTalk": {
-    "enable": "양방향 말하기 활성화"
+    "enable": "양방향 말하기 활성화",
+    "disable": "양방향 말하기 비활성화"
+  },
+  "cameraAudio": {
+    "enable": "카메라 오디오 활성화",
+    "disable": "카메라 오디오 비활성화"
+  },
+  "ptz": {
+    "move": {
+      "clickMove": {
+        "label": "클릭해서 카메라 중앙 배치",
+        "enable": "클릭해서 움직이기 기능 활성화",
+        "disable": "클릭해서 움직이기 기능 비활성화"
+      },
+      "left": {
+        "label": "PTZ 카메라 왼쪽으로 이동"
+      },
+      "up": {
+        "label": "PTZ 카메라 위로 이동"
+      },
+      "down": {
+        "label": "PTZ 카메라 아래로 이동"
+      },
+      "right": {
+        "label": "PTZ 카메라 오른쪽으로 이동"
+      }
+    },
+    "zoom": {
+      "in": {
+        "label": "PTZ 카메라 확대"
+      },
+      "out": {
+        "label": "PTZ 카메라 축소"
+      }
+    },
+    "focus": {
+      "in": {
+        "label": "PTZ 카메라 포커스 인"
+      },
+      "out": {
+        "label": "PTZ 카메라 포커스 아웃"
+      }
+    },
+    "frame": {
+      "center": {
+        "label": "클릭해서 PTZ 카메라 중앙 배치"
+      }
+    },
+    "presets": "PTZ 카메라 프리셋"
+  },
+  "camera": {
+    "enable": "카메라 활성화",
+    "disable": "카메라 비활성화"
+  },
+  "muteCameras": {
+    "enable": "모든 카메라 음소거",
+    "disable": "모든 카메라 음소거 해제"
+  },
+  "detect": {
+    "enable": "감지 활성화",
+    "disable": "감지 비활성화"
+  },
+  "recording": {
+    "enable": "녹화 활성화",
+    "disable": "녹화 비활성화"
+  },
+  "snapshots": {
+    "enable": "스냅샷 활성화",
+    "disable": "스냅샷 비활성화"
+  },
+  "audioDetect": {
+    "enable": "오디오 감지 활성화",
+    "disable": "오디오 감지 비활성화"
+  },
+  "transcription": {
+    "enable": "실시간 오디오 자막 활성화",
+    "disable": "실시간 오디오 자막 비활성화"
+  },
+  "autotracking": {
+    "enable": "자동 추적 활성화",
+    "disable": "자동 추적 비활성화"
+  },
+  "streamStats": {
+    "enable": "스트림 통계 보기",
+    "disable": "스트림 통계 숨기기"
+  },
+  "manualRecording": {
+    "title": "수동 녹화",
+    "tips": "이 카메라의 녹화 보관 설정에 따라 인스턴트 스냅샷을 다운로드하거나 수동 녹화를 시작할 수 있습니다.",
+    "playInBackground": {
+      "label": "백그라운드에서 재생",
+      "desc": "이 옵션을 활성화하면 플레이어가 숨겨져도 계속 스트리밍됩니다."
+    },
+    "showStats": {
+      "label": "통계 보기",
+      "desc": "이 옵션을 활성화하면 카메라 피드에 스트림 통계가 나타납니다."
+    },
+    "debugView": "디버그 보기",
+    "start": "수동 녹화 시작",
+    "started": "수동 녹화 시작되었습니다.",
+    "failedToStart": "수동 녹화 시작이 실패했습니다.",
+    "recordDisabledTips": "이 카메라 설정에서 녹화가 비활성화 되었거나 제한되어 있어 스냅샷만 저장됩니다.",
+    "end": "수동 녹화 종료",
+    "ended": "수동 녹화가 종료되었습니다.",
+    "failedToEnd": "수동 녹화 종료가 실패했습니다."
+  },
+  "streamingSettings": "스트리밍 설정",
+  "notifications": "알림",
+  "audio": "오디오",
+  "suspend": {
+    "forTime": "일시정지 시간: "
+  },
+  "stream": {
+    "title": "스트림",
+    "audio": {
+      "available": "이 스트림에서 오디오를 사용할 수 있습니다",
+      "unavailable": "이 스트림에서 오디오를 사용할 수 없습니다",
+      "tips": {
+        "title": "이 스트림에서 오디오를 사용하려면 카메라에서 오디오를 출력하고 go2rtc에서 설정해야 합니다."
+      }
+    },
+    "debug": {
+      "picker": "디버그 모드에선 스트림 모드를 선택할 수 없습니다. 디버그 뷰에서는 항상 감지(Detect) 역할로 설정한 스트림을 사용합니다."
+    },
+    "twoWayTalk": {
+      "tips": "양방향 말하기 기능을 사용하려면 기기에서 기능을 지원해야하며 WebRTC를 설정해야합니다.",
+      "available": "이 기기는 양방향 말하기 기능을 사용할 수 있습니다",
+      "unavailable": "이 기기는 양방향 말하기 기능을 사용할 수 없습니다"
+    },
+    "lowBandwidth": {
+      "tips": "버퍼링 또는 스트림 오류로 실시간 화면을 저대역폭 모드로 변경되었습니다.",
+      "resetStream": "스트림 리셋"
+    },
+    "playInBackground": {
+      "label": "백그라운드에서 재생",
+      "tips": "이 옵션을 활성화하면 플레이어가 숨겨져도 스트리밍이 지속됩니다."
+    }
+  },
+  "cameraSettings": {
+    "title": "{{camera}} 설정",
+    "cameraEnabled": "카메라 활성화",
+    "objectDetection": "대상 감지",
+    "recording": "녹화",
+    "snapshots": "스냅샷",
+    "audioDetection": "오디오 감지",
+    "transcription": "오디오 자막",
+    "autotracking": "자동 추적"
+  },
+  "history": {
+    "label": "이전 영상 보기"
+  },
+  "effectiveRetainMode": {
+    "modes": {
+      "all": "전체",
+      "motion": "움직임 감지",
+      "active_objects": "활성 대상"
+    },
+    "notAllTips": "{{source}} 녹화 보관 설정이 <code>mode: {{effectiveRetainMode}}</code>로 되어 있어, 이 수동 녹화는 {{effectiveRetainModeName}}이(가) 있는 구간만 저장됩니다."
+  },
+  "editLayout": {
+    "label": "레이아웃 편집",
+    "group": {
+      "label": "카메라 그룹 편집"
+    },
+    "exitEdit": "편집 종료"
+  },
+  "noCameras": {
+    "title": "설정된 카메라 없음",
+    "description": "카메라를 연결해 시작하세요.",
+    "buttonText": "카메라 추가"
+  },
+  "snapshot": {
+    "takeSnapshot": "인스턴트 스냅샷 다운로드",
+    "noVideoSource": "스냅샷 찍을 비디오 소스가 없습니다.",
+    "captureFailed": "스냅샷 캡쳐를 하지 못했습니다.",
+    "downloadStarted": "스냅샷 다운로드가 시작됐습니다."
   }
 }
diff --git a/web/public/locales/ko/views/recording.json b/web/public/locales/ko/views/recording.json
index aa2715665..2aa9934de 100644
--- a/web/public/locales/ko/views/recording.json
+++ b/web/public/locales/ko/views/recording.json
@@ -1,5 +1,12 @@
 {
   "filter": "필터",
   "export": "내보내기",
-  "calendar": "달력"
+  "calendar": "날짜",
+  "filters": "필터",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "올바른 시간 범위를 선택하세요",
+      "endTimeMustAfterStartTime": "종료 시간은 시작 시간보다 뒤에 있어야합니다"
+    }
+  }
 }
diff --git a/web/public/locales/ko/views/settings.json b/web/public/locales/ko/views/settings.json
index 90d864e5d..a5b1d5580 100644
--- a/web/public/locales/ko/views/settings.json
+++ b/web/public/locales/ko/views/settings.json
@@ -24,11 +24,99 @@
   "documentTitle": {
     "default": "설정 - Frigate",
     "authentication": "인증 설정 - Frigate",
-    "camera": "카메라 설정 - Frigate"
+    "camera": "카메라 설정 - Frigate",
+    "enrichments": "고급 설정 - Frigate",
+    "masksAndZones": "마스크와 구역 편집기 - Frigate",
+    "motionTuner": "움직임 감지 조정 - Frigate",
+    "object": "디버그 - Frigate",
+    "general": "일반 설정 - Frigate",
+    "frigatePlus": "Frigate+ 설정 - Frigate",
+    "notifications": "알림 설정 - Frigate",
+    "cameraManagement": "카메라 관리 - Frigate",
+    "cameraReview": "카메라 다시보기 설정 - Frigate"
   },
   "users": {
     "table": {
       "actions": "액션"
     }
+  },
+  "menu": {
+    "ui": "UI",
+    "enrichments": "고급",
+    "cameras": "카메라 설정",
+    "masksAndZones": "마스크 / 구역",
+    "motionTuner": "움직임 감지 조정",
+    "triggers": "트리거",
+    "debug": "디버그",
+    "users": "사용자",
+    "roles": "역할",
+    "notifications": "알림",
+    "frigateplus": "Frigate+",
+    "cameraManagement": "관리",
+    "cameraReview": "다시보기"
+  },
+  "dialog": {
+    "unsavedChanges": {
+      "title": "저장되지 않은 변경 사항이 있습니다.",
+      "desc": "계속하기 전에 변경 사항을 저장하시겠습니까?"
+    }
+  },
+  "cameraSetting": {
+    "camera": "카메라",
+    "noCamera": "카메라 없음"
+  },
+  "general": {
+    "title": "일반 세팅",
+    "liveDashboard": {
+      "title": "실시간 보기 대시보드",
+      "automaticLiveView": {
+        "label": "자동으로 실시간 보기 전환",
+        "desc": "활동이 감지되면 자동으로 실시간 보기로 전환합니다. 이 옵션을 끄면 대시보드의 카메라 화면은 1분마다 한 번만 갱신됩니다."
+      },
+      "playAlertVideos": {
+        "label": "경보 영상 보기",
+        "desc": "기본적으로 실시간 보기 대시보드의 최근 경보 영상을 작은 반복 영상으로 재생됩니다. 이 옵션을 끄면 이 기기(또는 브라우저)에서는 정적 이미지로만 표시됩니다."
+      }
+    },
+    "storedLayouts": {
+      "title": "저장된 레이아웃",
+      "desc": "카메라 그룹의 화면 배치는 드래그하거나 크기를 조정할 수 있습니다. 변경된 위치는 브라우저의 로컬 저장소에 저장됩니다.",
+      "clearAll": "레이아웃 지우기"
+    },
+    "cameraGroupStreaming": {
+      "title": "카메라 그룹 스트리밍 설정",
+      "desc": "각각의 카메라 그룹의 스트리밍 설정은 브라우저의 로컬 저장소에 저장됩니다.",
+      "clearAll": "스트리밍 설정 모두 지우기"
+    },
+    "recordingsViewer": {
+      "title": "녹화 영상 보기",
+      "defaultPlaybackRate": {
+        "label": "기본으로 설정된 다시보기 배속",
+        "desc": "다시보기 영상 재생할 때 기본 배속을 설정합니다."
+      }
+    },
+    "calendar": {
+      "title": "캘린더",
+      "firstWeekday": {
+        "label": "주 첫째날",
+        "desc": "다시보기 캘린더에서 주가 시작되는 첫째날을 설정합니다.",
+        "sunday": "일요일",
+        "monday": "월요일"
+      }
+    },
+    "toast": {
+      "success": {
+        "clearStoredLayout": "{{cameraName}}의 레이아웃을 지웠습니다",
+        "clearStreamingSettings": "모든 카메라 그룹 스트리밍 설정을 지웠습니다."
+      },
+      "error": {
+        "clearStoredLayoutFailed": "레이아웃 지우기에 실패했습니다:{{errorMessage}}",
+        "clearStreamingSettingsFailed": "카메라 스트리밍 설정 지우기에 실패했습니다:{{errorMessage}}"
+      }
+    }
+  },
+  "enrichments": {
+    "title": "고급 설정",
+    "unsavedChanges": "변경된 고급 설정을 저장하지 않았습니다"
   }
 }
diff --git a/web/public/locales/ko/views/system.json b/web/public/locales/ko/views/system.json
index b6cae8635..4ed89d1ce 100644
--- a/web/public/locales/ko/views/system.json
+++ b/web/public/locales/ko/views/system.json
@@ -1,7 +1,186 @@
 {
   "documentTitle": {
     "cameras": "카메라 통계 - Frigate",
-    "storage": "스토리지 통계 - Frigate",
-    "general": "기본 통계 - Frigate"
+    "storage": "저장소 통계 - Frigate",
+    "general": "기본 통계 - Frigate",
+    "enrichments": "고급 통계 - Frigate",
+    "logs": {
+      "frigate": "Frigate 로그 -Frigate",
+      "go2rtc": "Go2RTC 로그 - Frigate",
+      "nginx": "Nginx 로그 - Frigate"
+    }
+  },
+  "title": "시스템",
+  "metrics": "시스템 통계",
+  "logs": {
+    "download": {
+      "label": "다운로드 로그"
+    },
+    "copy": {
+      "label": "클립보드에 복사하기",
+      "success": "클립보드에 로그가 복사되었습니다",
+      "error": "클립보드에 로그를 저장할 수 없습니다"
+    },
+    "type": {
+      "label": "타입",
+      "timestamp": "시간 기록",
+      "tag": "태그",
+      "message": "메시지"
+    },
+    "tips": "서버에서 로그 스트리밍 중",
+    "toast": {
+      "error": {
+        "fetchingLogsFailed": "로그 가져오기 오류: {{errorMessage}}",
+        "whileStreamingLogs": "스크리밍 로그 중 오류: {{errorMessage}}"
+      }
+    }
+  },
+  "general": {
+    "title": "기본",
+    "detector": {
+      "title": "감지기",
+      "inferenceSpeed": "감지 추론 속도",
+      "temperature": "감지기 온도",
+      "cpuUsage": "감지기 CPU 사용률",
+      "memoryUsage": "감지기 메모리 사용률",
+      "cpuUsageInformation": "감지 모델로 데이터를 입력/출력하기 위한 전처리 과정에서 사용되는 CPU 사용량입니다. GPU나 가속기를 사용하는 경우에도 추론 자체의 사용량은 포함되지 않습니다."
+    },
+    "hardwareInfo": {
+      "title": "하드웨어 정보",
+      "gpuUsage": "GPU 사용률",
+      "gpuMemory": "GPU 메모리",
+      "gpuEncoder": "GPU 인코더",
+      "gpuDecoder": "GPU 디코더",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Vainfo 출력",
+          "processOutput": "프로세스 출력:",
+          "processError": "프로세스 오류:",
+          "returnCode": "리턴 코드:{{code}}"
+        },
+        "nvidiaSMIOutput": {
+          "title": "Nvidia SMI 출력",
+          "name": "이름:{{name}}",
+          "driver": "드라이버:{{driver}}",
+          "cudaComputerCapability": "CUDA Compute Capability:{{cuda_compute}}",
+          "vbios": "VBios Info: {{vbios}}"
+        },
+        "copyInfo": {
+          "label": "GPU 정보 복사"
+        },
+        "toast": {
+          "success": "GPU 정보가 클립보드에 복사되었습니다"
+        },
+        "closeInfo": {
+          "label": "GPU 정보 닫기"
+        }
+      },
+      "npuUsage": "NPU 사용률",
+      "npuMemory": "NPU 메모리"
+    },
+    "otherProcesses": {
+      "title": "다른 프로세스들",
+      "processCpuUsage": "사용중인 CPU 사용률",
+      "processMemoryUsage": "사용중인 메모리 사용률"
+    }
+  },
+  "storage": {
+    "title": "스토리지",
+    "overview": "전체 현황",
+    "recordings": {
+      "title": "녹화",
+      "tips": "이 값은 Frigate 데이터베이스의 녹화 영상이 사용 중인 전체 저장 공간입니다. Frigate는 디스크 내 다른 파일들의 저장 공간은 추적하지 않습니다.",
+      "earliestRecording": "가장 오래된 녹화 영상:"
+    },
+    "cameraStorage": {
+      "title": "카메라 저장소",
+      "camera": "카메라",
+      "unusedStorageInformation": "미사용 저장소 정보",
+      "storageUsed": "용량",
+      "percentageOfTotalUsed": "전체 대비 비율",
+      "bandwidth": "대역폭",
+      "unused": {
+        "title": "미사용",
+        "tips": "드라이브에 Frigate 녹화 영상 외에 다른 파일이 저장되어 있는 경우, 이 값은 Frigate에서 실제 사용 가능한 여유 공간을 정확히 나타내지 않을 수 있습니다. Frigate는 녹화 영상 외의 저장 공간 사용량을 추적하지 않습니다."
+      }
+    },
+    "shm": {
+      "title": "SHM (공유 메모리) 할당량",
+      "warning": "현재 SHM 사이즈가 {{total}}MB로 너무 적습니다. 최소 {{min_shm}}MB 이상 올려주세요."
+    }
+  },
+  "cameras": {
+    "title": "카메라",
+    "overview": "전체 현황",
+    "info": {
+      "aspectRatio": "종횡비",
+      "fetching": "카메라 데이터 수집 중",
+      "stream": "스트림 {{idx}}",
+      "streamDataFromFFPROBE": "스트림 데이터는 <code>ffprobe</code>에서 받습니다.",
+      "video": "비디오:",
+      "codec": "코덱:",
+      "resolution": "해상도:",
+      "fps": "FPS:",
+      "unknown": "알 수 없음",
+      "audio": "오디오:",
+      "error": "오류:{{error}}",
+      "cameraProbeInfo": "{{camera}} 카메라 장치 정보",
+      "tips": {
+        "title": "카메라 장치 정보"
+      }
+    },
+    "framesAndDetections": "프레임 / 감지 (Detections)",
+    "label": {
+      "camera": "카메라",
+      "detect": "감지",
+      "skipped": "건너뜀",
+      "ffmpeg": "FFmpeg",
+      "capture": "캡쳐",
+      "overallFramesPerSecond": "전체 초당 프레임",
+      "overallDetectionsPerSecond": "전체 초당 감지",
+      "overallSkippedDetectionsPerSecond": "전체 초당 건너뛴 감지",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraCapture": "{{camName}} 캡쳐",
+      "cameraDetect": "{{camName}} 감지",
+      "cameraFramesPerSecond": "{{camName}} 초당 프레임",
+      "cameraDetectionsPerSecond": "{{camName}} 초당 감지",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} 초당 건너뛴 감지"
+    },
+    "toast": {
+      "success": {
+        "copyToClipboard": "데이터 정보가 클립보드에 복사되었습니다."
+      },
+      "error": {
+        "unableToProbeCamera": "카메라 정보 알 수 없음: {{errorMessage}}"
+      }
+    }
+  },
+  "lastRefreshed": "마지막 새로고침: ",
+  "stats": {
+    "ffmpegHighCpuUsage": "{{camera}} FFmpeg CPU 사용량이 높습니다 ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} 감지 CPU 사용량이 높습니다 ({{detectAvg}}%)",
+    "healthy": "시스템 정상",
+    "reindexingEmbeddings": "Reindexing embeddings ({{processed}}% complete)",
+    "cameraIsOffline": "{{camera}} 오프라인입니다",
+    "detectIsSlow": "{{detect}} (이/가) 느립니다 ({{speed}} ms)",
+    "detectIsVerySlow": "{{detect}} (이/가) 매우 느립니다 ({{speed}} ms)",
+    "shmTooLow": "/dev/shm 할당량을 ({{total}} MB) 최소 {{min}} MB 이상 증가시켜야합니다."
+  },
+  "enrichments": {
+    "title": "추가 분석 정보",
+    "infPerSecond": "초당 추론 속도",
+    "embeddings": {
+      "image_embedding": "이미지 임베딩",
+      "text_embedding": "텍스트 임베딩",
+      "face_recognition": "얼굴 인식",
+      "plate_recognition": "번호판 인식",
+      "image_embedding_speed": "이미지 임베딩 속도",
+      "face_embedding_speed": "얼굴 임베딩 속도",
+      "face_recognition_speed": "얼굴 인식 속도",
+      "plate_recognition_speed": "번호판 인식 속도",
+      "text_embedding_speed": "텍스트 임베딩 속도",
+      "yolov9_plate_detection_speed": "YOLOv9 플레이트 감지 속도",
+      "yolov9_plate_detection": "YOLOv9 플레이트 감지"
+    }
   }
 }
diff --git a/web/public/locales/lt/audio.json b/web/public/locales/lt/audio.json
index a1b599904..2e8d481ce 100644
--- a/web/public/locales/lt/audio.json
+++ b/web/public/locales/lt/audio.json
@@ -366,7 +366,7 @@
   "busy_signal": "Užimtas Signalas",
   "dial_tone": "Numerio Rinkimo Tonas",
   "telephone_dialing": "Telefono Rinkimas",
-  "ringtone": "Skambutis",
+  "ringtone": "Skambėjimo Tonas",
   "telephone_bell_ringing": "Skamba Telefonas",
   "alarm": "Signalizacija",
   "computer_keyboard": "Kopiuterio Klaviatūra",
diff --git a/web/public/locales/lt/common.json b/web/public/locales/lt/common.json
index 936cb217a..712e004cf 100644
--- a/web/public/locales/lt/common.json
+++ b/web/public/locales/lt/common.json
@@ -78,7 +78,10 @@
     "formattedTimestampFilename": {
       "12hour": "MM-dd-yy-h-mm-ss-a",
       "24hour": "MM-dd-yy-HH-mm-ss"
-    }
+    },
+    "inProgress": "Apdorojama",
+    "invalidStartTime": "Netinkamas pradžios laikas",
+    "invalidEndTime": "Netinkamas pabaigos laikas"
   },
   "unit": {
     "speed": {
@@ -88,10 +91,20 @@
     "length": {
       "feet": "pėdos",
       "meters": "metrai"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/val",
+      "mbph": "MB/val",
+      "gbph": "GB/val"
     }
   },
   "label": {
-    "back": "Eiti atgal"
+    "back": "Eiti atgal",
+    "hide": "Slėpti {{item}}",
+    "show": "Rodyti {{item}}"
   },
   "button": {
     "apply": "Pritaikyti",
@@ -270,5 +283,8 @@
     "desc": "Puslapis nerastas"
   },
   "selectItem": "Pasirinkti {{item}}",
-  "readTheDocumentation": "Skaityti dokumentaciją"
+  "readTheDocumentation": "Skaityti dokumentaciją",
+  "information": {
+    "pixels": "{{area}}px"
+  }
 }
diff --git a/web/public/locales/lt/components/auth.json b/web/public/locales/lt/components/auth.json
index 7b3737040..3ba7d103b 100644
--- a/web/public/locales/lt/components/auth.json
+++ b/web/public/locales/lt/components/auth.json
@@ -10,6 +10,7 @@
       "loginFailed": "Prisijungti nepavyko",
       "unknownError": "Nežinoma klaida. Patikrinkite įrašus.",
       "webUnknownError": "Nežinoma klaida. Patikrinkite konsolės įrašus."
-    }
+    },
+    "firstTimeLogin": "Bandote prisijungti pirmą kartą? Prisijungimo informaciją rasite Frigate loguose."
   }
 }
diff --git a/web/public/locales/lt/components/camera.json b/web/public/locales/lt/components/camera.json
index 7f4f5d857..2e3ef8a87 100644
--- a/web/public/locales/lt/components/camera.json
+++ b/web/public/locales/lt/components/camera.json
@@ -77,7 +77,7 @@
       "showOptions": "Rodyti Pasirinkimus",
       "hideOptions": "Slėpti Pasirinkimus"
     },
-    "boundingBox": "Ribojantis Kvadratas",
+    "boundingBox": "Apribojantis Stačiakampis",
     "timestamp": "Laiko žymė",
     "zones": "Zonos",
     "mask": "Maskuotė",
diff --git a/web/public/locales/lt/components/dialog.json b/web/public/locales/lt/components/dialog.json
index 84b98af86..ae5760132 100644
--- a/web/public/locales/lt/components/dialog.json
+++ b/web/public/locales/lt/components/dialog.json
@@ -42,7 +42,7 @@
       "label": "Rodyti transliacijos statistiką",
       "desc": "Įjungti šią galimybę rodyti transliacijos statistiką kaip pridėtinę informaciją kameros vaizde."
     },
-    "debugView": "Derinimo Vaizdas"
+    "debugView": "Debug Vaizdas"
   },
   "export": {
     "time": {
@@ -71,19 +71,21 @@
     "export": "Eksportuoti",
     "selectOrExport": "Pasirinkti ar Eksportuoti",
     "toast": {
-      "success": "Sėkmingai pradėtas eksportavimas. Įrašą galima peržiūrėti /exports kataloge.",
+      "success": "Sėkmingai pradėtas eksportavimas. Peržiūrėti įrašą exports puslapyje.",
       "error": {
         "failed": "Nepavyko pradėti eksportavimo: {{error}}",
         "endTimeMustAfterStartTime": "Pabaigos Laikas privalo būti vėliau nei pradžios laikas",
         "noVaildTimeSelected": "Nėra pasirinkto tinkamo laikotarpio"
-      }
+      },
+      "view": "Žiūrėti"
     }
   },
   "recording": {
     "button": {
       "markAsReviewed": "Žymėti kaip peržiūrėtą",
       "export": "Eksportuoti",
-      "deleteNow": "Ištrinti Dabar"
+      "deleteNow": "Ištrinti Dabar",
+      "markAsUnreviewed": "Pažymėti kaip nematytą"
     },
     "confirmDelete": {
       "desc": {
@@ -115,6 +117,7 @@
     "search": {
       "placeholder": "Ieškoti pagal etiketę arba sub etiketę..."
     },
-    "noImages": "Šiai kamerai miniatiūrų nerasta"
+    "noImages": "Šiai kamerai miniatiūrų nerasta",
+    "unknownLabel": "Išsaugotas Trigerio Paveiksliukas"
   }
 }
diff --git a/web/public/locales/lt/components/filter.json b/web/public/locales/lt/components/filter.json
index f5beaf8d2..0f276efc9 100644
--- a/web/public/locales/lt/components/filter.json
+++ b/web/public/locales/lt/components/filter.json
@@ -132,5 +132,9 @@
     "selectPlatesFromList": "Pasirinkti vieną ar daugiau numerių iš sąrašo.",
     "selectAll": "Pasirinkti viską",
     "clearAll": "Išvalyti viską"
+  },
+  "attributes": {
+    "label": "Klasifikavimo Atributai",
+    "all": "Visi Atributai"
   }
 }
diff --git a/web/public/locales/lt/views/classificationModel.json b/web/public/locales/lt/views/classificationModel.json
new file mode 100644
index 000000000..df38fe0eb
--- /dev/null
+++ b/web/public/locales/lt/views/classificationModel.json
@@ -0,0 +1,125 @@
+{
+  "documentTitle": "Klasifikavimo Modeliai - Frigate",
+  "button": {
+    "deleteClassificationAttempts": "Trinti Klasisifikavimo Nuotraukas",
+    "renameCategory": "Pervadinti Klasę",
+    "deleteCategory": "Trinti Klasę",
+    "deleteImages": "Trinti Nuotraukas",
+    "trainModel": "Treniruoti Modelį",
+    "addClassification": "Pridėti Klasifikatorių",
+    "deleteModels": "Ištrinti Modelius",
+    "editModel": "Koreguoti Modelį"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Ištrinta Klasę",
+      "deletedImage": "Ištrinti Nuotraukas",
+      "categorizedImage": "Sekmingai Klasifikuotas Nuotrauka",
+      "trainedModel": "Modelis sėkmingai apmokytas.",
+      "trainingModel": "Sėkmingai pradėtas modelio apmokymas.",
+      "deletedModel_one": "Sėkmingai ištrintas {{count}} modelis",
+      "deletedModel_few": "Sėkmingai ištrinti {{count}} modeliai",
+      "deletedModel_other": "Sėkmingai ištrinta {{count}} modelių",
+      "updatedModel": "Modelio nustatymai atnaujinti sėkmingai",
+      "renamedCategory": "Klasifikatorius sėkmingai pervadintas į {{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "Nepavyko ištrinti:{{errorMessage}}",
+      "deleteCategoryFailed": "Nepavyko ištrinti klasės:{{errorMessage}}",
+      "categorizeFailed": "Nepavyko kategorizuoti nuotraukos:{{errorMessage}}",
+      "trainingFailed": "Modelio treniravimas nepavyko. Patikrinkite Frigate log'ų detales.",
+      "deleteModelFailed": "Nepavyko ištrinti modelio: {{errorMessage}}",
+      "trainingFailedToStart": "Nepavyko pradėti modelio treniravimo: {{errorMessage}}",
+      "updateModelFailed": "Nepavyko atnaujinti modelio: {{errorMessage}}",
+      "renameCategoryFailed": "Nepavyko pervadinti klasifikatoriaus: {{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "Trinti Klasę",
+    "desc": "Esate įsitikinę, norite ištrinti klasę {{name}}? Tai negrįžtamai ištrins visas susijusias nuotraukas ir reikės iš naujo apmokinti modelį.",
+    "minClassesTitle": "Negalima Ištrinti Klasifikatoriaus",
+    "minClassesDesc": "Klasifikavimo modelis turi turėti bent 2 klasifikatorius. Pridėkite dar vieną klasifikatoriu prieš ištrinant šį."
+  },
+  "deleteDatasetImages": {
+    "title": "Ištrinti Imties Nuotraukas",
+    "desc_one": "Esate įsitikinę norite ištrinti {{count}} nautrauką iš {{dataset}}? Šis veiksmas negrįžtamas ir reikės iš naujo apmokinti modelį.",
+    "desc_few": "Esate įsitikinę norite ištrinti {{count}} nautraukas iš {{dataset}}? Šis veiksmas negrįžtamas ir reikės iš naujo apmokinti modelį.",
+    "desc_other": "Esate įsitikinę norite ištrinti {{count}} nautraukų iš {{dataset}}? Šis veiksmas negrįžtamas ir reikės iš naujo apmokinti modelį."
+  },
+  "deleteTrainImages": {
+    "title": "Ištrinti Apmokymo Nuotraukas",
+    "desc_one": "Ar esate įsitikinę, kad norite ištrinti {{count}} nuotrauką? Šis veiksmas negrįžtamas.",
+    "desc_few": "Ar esate įsitikinę, kad norite ištrinti {{count}} nuotraukas? Šis veiksmas negrįžtamas.",
+    "desc_other": "Ar esate įsitikinę, kad norite ištrinti {{count}} nuotraukų? Šis veiksmas negrįžtamas."
+  },
+  "renameCategory": {
+    "title": "Pervadinti Klasę",
+    "desc": "Įveskite naują vardą vietoje {{name}}. Jums reikės iš naujo apmokinti modelį, kad pavadinimas įsigaliotų."
+  },
+  "description": {
+    "invalidName": "Netinkamas vardas. Vardas gali būti sudarytas tik iš raidžiū, skaičių, tarpų, apostrofų, pabraukimų ar brūkšnelių."
+  },
+  "train": {
+    "title": "Pastarosios Klasifikacijos",
+    "aria": "Pasirinkti Pastarasias Klasifikacijas",
+    "titleShort": "Paskutiniai"
+  },
+  "categories": "Klasės",
+  "createCategory": {
+    "new": "Sukurti Naują Klasę"
+  },
+  "categorizeImageAs": "Klasifikuoti Nuotrauką Kaip:",
+  "categorizeImage": "Klasifikuoti Nuotrauką",
+  "noModels": {
+    "object": {
+      "title": "Nėra Objektų Klasifikavimo Modelių",
+      "description": "Sukurti individualų modelį ištrintų objektų klasifikavimui.",
+      "buttonText": "Sukurti Objekto Modelį"
+    },
+    "state": {
+      "title": "Nėra Būklės Klasifikavimo Modelių",
+      "description": "Sukurti individualų modelį sekti ir klasifikuoti būsenų pokyčius konkrečiuose kameros plotuose.",
+      "buttonText": "Sukurti Būsenos Modelį"
+    }
+  },
+  "details": {
+    "scoreInfo": "Įvertinimas atspindi vidutinį klasivikavimo pasitikėjimą tarp visų šio objekto atpažinimų.",
+    "none": "Nėra",
+    "unknown": "Nežinoma"
+  },
+  "tooltip": {
+    "trainingInProgress": "Šiuo metu vyksta modelio apmokymas",
+    "noNewImages": "Nėra naujų paveikslėlių apmokymui. Pradžiai suklasifikuokite daugiau paveikslėlių duomenų rinkinyje.",
+    "noChanges": "Po paskutinio apmokymo duomenų rinkinyje pakeitimų nėra.",
+    "modelNotReady": "Modelis neparuoštas apmokymui"
+  },
+  "deleteModel": {
+    "title": "Ištrinti Klasifikavimo Modelį",
+    "single": "Ar įsitikinę kad norite trinti {{name}}? Tai negrįžtamai ištrins ir susijusius paveikslėlius bei apmokymo duomenis. Tai negali būti sugražinta.",
+    "desc_one": "Ar esate įsitikinę kad norite ištrinti {{count}} modelį? Tai negrįžtamai ištrins ir susijusius paveikslėlius bei apmokymo duomenis. Tai negali būti sugražinta.",
+    "desc_few": "Ar esate įsitikinę kad norite ištrinti {{count}} modelius? Tai negrįžtamai ištrins ir susijusius paveikslėlius bei apmokymo duomenis. Tai negali būti sugražinta.",
+    "desc_other": "Ar esate įsitikinę kad norite ištrinti {{count}} modelių? Tai negrįžtamai ištrins ir susijusius paveikslėlius bei apmokymo duomenis. Tai negali būti sugražinta."
+  },
+  "edit": {
+    "title": "Koreguoti Klasifikavimo Modelį",
+    "descriptionState": "Koreguoti klasifikatorius šiam būklės klasifikavimo modeliui. Pokyčiams reikės išnaujo apmokinti modelį.",
+    "descriptionObject": "Koreguoti objekto tipą ir klasifikavimo tipą šiam objektų klasifikavimo modeliui.",
+    "stateClassesInfo": "Pastaba: Keičiant statuso klasifikatorius privaloma iš naujo apmokinti modelį."
+  },
+  "wizard": {
+    "step3": {
+      "allImagesRequired_one": "Prašom klasifikuoti visus paveikslėlius. Liko {{count}} paveikslėlis.",
+      "allImagesRequired_few": "Prašom klasifikuoti visus paveikslėlius. Liko {{count}} paveikslėliai.",
+      "allImagesRequired_other": "Prašom klasifikuoti visus paveikslėlius. Liko {{count}} paveikslėlių."
+    },
+    "title": "Sukurti Naują Klasifikavimą",
+    "steps": {
+      "nameAndDefine": "Pavadinimas ir Apibūdinimas",
+      "stateArea": "Būsenos Plotas"
+    }
+  },
+  "menu": {
+    "objects": "Objektai",
+    "states": "Būsenos"
+  }
+}
diff --git a/web/public/locales/lt/views/events.json b/web/public/locales/lt/views/events.json
index 79a222371..c3e670a16 100644
--- a/web/public/locales/lt/views/events.json
+++ b/web/public/locales/lt/views/events.json
@@ -22,7 +22,11 @@
   "empty": {
     "alert": "Nėra pranešimų peržiūrai",
     "detection": "Nėra aptikimų peržiūrai",
-    "motion": "Duomenų apie judesius nėra"
+    "motion": "Duomenų apie judesius nėra",
+    "recordingsDisabled": {
+      "title": "Įrašai privalo būti įjungti",
+      "description": "Peržiūros gali būti kuriamos tik tada kai kamerai yra aktyvuoti įrašymai."
+    }
   },
   "documentTitle": "Peržiūros - Frigate",
   "recordings": {
@@ -36,5 +40,28 @@
   },
   "detected": "aptikta",
   "suspiciousActivity": "Įtartina Veikla",
-  "threateningActivity": "Grėsminga Veikla"
+  "threateningActivity": "Grėsminga Veikla",
+  "detail": {
+    "noDataFound": "Peržiūrai informacijos nėra",
+    "aria": "Perjungti į detalų vaizdą",
+    "trackedObject_one": "{{count}} objektas",
+    "trackedObject_other": "{{count}} objektai",
+    "noObjectDetailData": "Nėra objekto detalių duomenų.",
+    "label": "Detalės",
+    "settings": "Vaizdo Nustatymai Detaliau",
+    "alwaysExpandActive": {
+      "title": "Visada išskleisti aktyvų",
+      "desc": "Aktyviai peržiūrimam įrašui visada išskleisti objekto detales jei jos yra."
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Susektas taškas",
+    "clickToSeek": "Spustelkite perkelti į šį laiką"
+  },
+  "zoomIn": "Priartinti",
+  "zoomOut": "Patolinti",
+  "select_all": "Viską",
+  "normalActivity": "Normali veikla",
+  "needsReview": "Reikalinga peržiūra",
+  "securityConcern": "Saugumo rūpestis"
 }
diff --git a/web/public/locales/lt/views/explore.json b/web/public/locales/lt/views/explore.json
index 0186e7365..b68a3233b 100644
--- a/web/public/locales/lt/views/explore.json
+++ b/web/public/locales/lt/views/explore.json
@@ -49,7 +49,8 @@
           "regenerate": "Gauta nauja užklausa iš {{provider}} naujam aprašymui. Priklausomai nuo jūsų tiekėjo greičio, naują aprašymą sukurti gali užtrukti.",
           "updatedSublabel": "Sėkmingai atnaujinta sub etiketė.",
           "updatedLPR": "Sėkmingai atnaujinti registracijos numeriai.",
-          "audioTranscription": "Sėkmingai užklausta garso aprašymo."
+          "audioTranscription": "Sėkmingai užklausta garso aprašymo. Priklausomai nuo jūsų Frigate serverio pajėgumų, tai gali užtrukti.",
+          "updatedAttributes": "Atributai sekmingai užkelti."
         },
         "error": {
           "regenerate": "Nepavyko pakviesti {{provider}} naujam aprašymui: {{errorMessage}}",
@@ -158,7 +159,7 @@
   },
   "dialog": {
     "confirmDelete": {
-      "desc": "Trinant šį sekamą objektą taip pat bus pašalintos momentinės iškarpos, išsaugoti įterpiai, priskirti objekto gyvavimo ciklo įrašai. Šių sekamų objektų įrašyta filmuota medžiaga Istorijos vaizde ištrinta <em>NEBUS</em>.<br /><br />Ar esate įsitikinę, kad norite tęsti?",
+      "desc": "Trinant šį sekamą objektą taip pat bus pašalintos momentinės iškarpos, išsaugoti įterpiai ir kitos susios sekimo detalės. Šių sekamų objektų įrašyta filmuota medžiaga Istorijos vaizde ištrinta <em>NEBUS</em>.<br /><br />Ar esate įsitikinę, kad norite tęsti?",
       "title": "Patvirtinti Ištrynimą"
     }
   },
@@ -167,7 +168,9 @@
     "details": "detalės",
     "snapshot": "momentinės nuotraukos",
     "video": "vaizdas",
-    "object_lifecycle": "objekto gyvavimo ciklas"
+    "object_lifecycle": "objekto gyvavimo ciklas",
+    "thumbnail": "miniatiūra",
+    "tracking_details": "sekimo detalės"
   },
   "itemMenu": {
     "downloadVideo": {
@@ -222,5 +225,54 @@
   },
   "concerns": {
     "label": "Rūpesčiai"
+  },
+  "trackingDetails": {
+    "title": "Sekimo Detalės",
+    "noImageFound": "Šiai miniatiūrai paveikslėlis nerastas.",
+    "createObjectMask": "Sukurti Objekto Maskavimą",
+    "adjustAnnotationSettings": "Patikslinti pastabų nustatymus",
+    "scrollViewTips": "Spustelkite pamatyti svarbius objekto gyvavimo momentus.",
+    "autoTrackingTips": "Apribojančio stačiakampio pozicijos nebus tikslios kameroms su autosekimu.",
+    "count": "{{first}} iš {{second}}",
+    "trackedPoint": "Sekamas Taškas",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} aptiktas",
+      "entered_zone": "{{label}} pateko į {{zones}}",
+      "active": "{{label}} tapo aktyvus",
+      "stationary": "{{label}} tapo statinis",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} aptiktas etiketei {{label}}",
+        "other": "{{label}} atpažintas kaip {{attribute}}"
+      },
+      "gone": "{{label}} kairė",
+      "heard": "{{label}} girdėta",
+      "external": "{{label}} aptikta",
+      "header": {
+        "zones": "Zonos",
+        "ratio": "Santykis",
+        "area": "Plotas",
+        "score": "Balas"
+      }
+    },
+    "annotationSettings": {
+      "title": "Anotacijų Nustatymai",
+      "showAllZones": {
+        "title": "Rodyti Visas Zonas",
+        "desc": "Visada rodyti zonas kadruose kur objektas patenka į zoną."
+      },
+      "offset": {
+        "label": "Anotacijų offset",
+        "desc": "Šie duomenys gaunami iš kameros aptikimo srauto, tačiau yra užkeliami ant atvaizdo sluoksnio iš įrašymo srauto. Tobulai synchronizuoti du srautai yra mažai tikėtini. Kaip rezultatas, apribojančio stačiakampio ir vaizdo medžiaga tobulai nesusilygiuos. Norėdami geriau sulygiuoti su įrašų medžiaga, jūs galite naudoti šį nustatymą srauto perslinkimui pirmyn arba atgal.",
+        "millisecondsToOffset": "Aptikimo anotacijų perslinkimas milisekundėmis. <em>Default: 0</em>",
+        "tips": "Sumažinkite reikšmę jei video įrašas yra pirmesnis nei kvadratai ar kelio taškai, ir padidinkite reikšmė jei video įrašas atsilieka. Ši reikšmė gali būti neigiama.",
+        "toast": {
+          "success": "Anotacijų perslinkimas kamerai {{camera}} išsaugotas konfiguracijoje."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Ankstesnė skaidrė",
+      "next": "Kita skaidrė"
+    }
   }
 }
diff --git a/web/public/locales/lt/views/exports.json b/web/public/locales/lt/views/exports.json
index c8b257a54..dbb5483b7 100644
--- a/web/public/locales/lt/views/exports.json
+++ b/web/public/locales/lt/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "Nepavyko pervadinti eksportuojamo įrašo: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Pasidalinti įrašu",
+    "downloadVideo": "Atsisiųsti video",
+    "editName": "Koreguoti pavadinimą",
+    "deleteExport": "Ištrinti eksportus"
   }
 }
diff --git a/web/public/locales/lt/views/faceLibrary.json b/web/public/locales/lt/views/faceLibrary.json
index b2cb8d332..cd7307a27 100644
--- a/web/public/locales/lt/views/faceLibrary.json
+++ b/web/public/locales/lt/views/faceLibrary.json
@@ -1,8 +1,8 @@
 {
   "description": {
-    "addFace": "Apžiūrėkite naujų kolekcijų pridėjimą prie Veidų Bibliotekos.",
+    "addFace": "Pridėkite naują kolekciją į Veidų Kolekciją įkeldami savo pirmą nuotrauką.",
     "placeholder": "Įveskite pavadinimą šiai kolekcijai",
-    "invalidName": "Netinkamas vardas. Vardai gali turėti tik raides, numerius, tarpus, apostrofus, pabraukimus ir brukšnelius."
+    "invalidName": "Netinkamas vardas. Vardas gali būti sudarytas tik iš raidžiū, skaičių, tarpų, apostrofų, pabraukimų ar brūkšnelių."
   },
   "details": {
     "person": "Žmogus",
@@ -32,7 +32,7 @@
       "addFaceLibrary": "{{name}} vardas buvo sėkmingai pridėtas į Veidų Katalogą!",
       "renamedFace": "Sėkmingai veidas pervadintas į {{name}}",
       "trainedFace": "Veidas apmokytas sėkmingai.",
-      "updatedFaceScore": "Veido balas atnaujintas sėkmingai."
+      "updatedFaceScore": "Veido balas atnaujintas sėkmingai į {{name}} {{score}}."
     },
     "error": {
       "uploadingImageFailed": "Nepavyko įkelti nuotraukos: {{errorMessage}}",
@@ -45,7 +45,7 @@
     }
   },
   "createFaceLibrary": {
-    "nextSteps": "Kad sukurtumėte stiprų pagrindą:<li>Naudokite Apmokymų skirtuką pasirinkti ir paveikslėliais apmokyti kiekvieną aptiktą asmenį.</li><li>Norint pasiekti geriausią režultatą, susitelkite prie nuotraukų iš priekio; Venkite naudoti veidų nuotraukas kampu pasuktu veidu.</li></ul>",
+    "nextSteps": "Kad sukurtumėte stiprų pagrindą:<li>Naudokite Pastarieji Atpažinimai skirtuką pasirinkti ir paveikslėliais apmokyti kiekvieną aptiktą asmenį.</li><li>Norint pasiekti geriausią režultatą, susitelkite prie nuotraukų iš priekio; Venkite naudoti veidų nuotraukas kampu pasuktu veidu.</li></ul>",
     "title": "Sukurti Kolekciją",
     "desc": "Sukurti naują kolekciją",
     "new": "Sukurti Naują Veidą"
@@ -69,9 +69,10 @@
     }
   },
   "train": {
-    "title": "Traukinys",
-    "aria": "Pasirinkti traukinį",
-    "empty": "Pastaruoju metu nebuvo atliktas veidų atpažinimas"
+    "title": "Pastarieji Atpažinimai",
+    "aria": "Pasirinkti pastaruosius atpažinimus",
+    "empty": "Pastaruoju metu nebuvo atliktas veidų atpažinimas",
+    "titleShort": "Paskutiniai"
   },
   "selectFace": "Pasirinkti Veidą",
   "renameFace": {
@@ -91,7 +92,7 @@
       "selectImage": "Prašome pasirinkti nuotraukos bylą."
     },
     "dropActive": "Įkelkite nuotrauką čia…",
-    "dropInstructions": "Drag and drop nuotrauką čia, arba spragtelkite pasirinkti",
+    "dropInstructions": "Užvilkite nuotrauką čia, arba spragtelkite pasirinkti",
     "maxSize": "Max dydis: {{size}}MB"
   },
   "nofaces": "Nėra veidų",
diff --git a/web/public/locales/lt/views/live.json b/web/public/locales/lt/views/live.json
index 5aa388aaf..06f1577f5 100644
--- a/web/public/locales/lt/views/live.json
+++ b/web/public/locales/lt/views/live.json
@@ -20,13 +20,13 @@
   },
   "cameraSettings": {
     "objectDetection": "Objektų Aptikimai",
-    "audioDetection": "Garso Aptikimai",
+    "audioDetection": "Garso Aptikimas",
     "title": "{{camera}} Nustatymai",
     "cameraEnabled": "Kamera įjungta",
     "recording": "Įrašinėjimas",
     "snapshots": "Momentinės Nuotraukos",
-    "transcription": "Garso Aprašymas",
-    "autotracking": "Autosekimas"
+    "transcription": "Garso Transkripcija",
+    "autotracking": "Automatinis sekimas"
   },
   "ptz": {
     "move": {
@@ -100,8 +100,8 @@
     "disable": "Paslėpti Transliacijos Stats"
   },
   "manualRecording": {
-    "title": "Įrašymai pagal poreikį",
-    "tips": "Kurti manualaus saugojimo nustatymus pagal įvykius iš šios kameros.",
+    "title": "Pagal-Poreikį",
+    "tips": "Atsisiųsti momentinę nuotrauką arba kurti manualaus saugojimo nustatymus pagal įvykius iš šios kameros.",
     "playInBackground": {
       "label": "Paleisti fone",
       "desc": "Įjungti šią funkciją kad transliaciją išliktų net paslėpus grotuvą."
@@ -110,20 +110,20 @@
       "label": "Rodytis Stats",
       "desc": "Įjungti šią funkciją, kad matytumėte transliacijos statistiką kameros vaizde."
     },
-    "debugView": "Derinimo Vaizdas",
-    "start": "Pradėti įrašymą pagal poreikį",
-    "started": "Pradėtas rankinis pagal poreikį įrašinėjimas.",
-    "failedToStart": "Nepavyko pradėti rankinio įrašinėjimo pagal poreikį.",
-    "recordDisabledTips": "Tik momentinės nuotraukos bus saugomos, nes įrašinėjimai šiai kamera yra išjungti.",
-    "end": "Baigti įrašymą pagal poreikį",
-    "ended": "Baigtas rankinis įrašymas pagal poreikį.",
-    "failedToEnd": "Nepavyko nutraukti rankinio įrašinėjimo pagal poreikį."
+    "debugView": "Debug Vaizdas",
+    "start": "Pradėti įrašymą pagal pageidavimą",
+    "started": "Pradėtas įrašymas pagal pageidavimą.",
+    "failedToStart": "Nepavyko pradėti įrašymo pagal poreikį.",
+    "recordDisabledTips": "Įrašymas šiai kamerai yra išjungtas todėl bus saugomos tik momentinės nuotraukos.",
+    "end": "Baigti įrašymą pagal pageidavimą",
+    "ended": "Baigtas įrašymas pagal pageidavimą.",
+    "failedToEnd": "Nepavyko sustabdyti įrašymo pagal pageidavimą."
   },
   "streamingSettings": "Transliacijos Nustatymai",
   "notifications": "Pranešimai",
   "audio": "Garsas",
   "suspend": {
-    "forTime": "Sustabdymo laikas: "
+    "forTime": "Sustabdyti laikui: "
   },
   "stream": {
     "title": "Transliacija",
@@ -131,8 +131,8 @@
       "tips": {
         "title": "Šiai transliacijai garso išvestis turi būti sukonfiguruota naudojant go2rtc."
       },
-      "available": "Šioje transliacijoje yra garsas",
-      "unavailable": "Šioje transliacijoje nėra garso"
+      "available": "Ši transliacija palaiko garsą",
+      "unavailable": "Ši transliacija nepalaiko garso"
     },
     "twoWayTalk": {
       "tips": "Jūsų įranga turi palaikyti šią funkciją, taip pat dvipusiam pokalbiui reikia sukonfiguruoti WebRTC.",
@@ -146,6 +146,9 @@
     "playInBackground": {
       "label": "Paleisti fone",
       "tips": "Norėdami kad transliacija tęstūsi kai grotuvas paslėpiamas įjunkite šią funkciją."
+    },
+    "debug": {
+      "picker": "Debug rėžime srauto pasirinkimas negalimas. Debug lange naudojamas tas srautas, kuris priskirtas aptikimo rolei."
     }
   },
   "history": {
@@ -162,8 +165,19 @@
   "editLayout": {
     "label": "Redaguoti Išdėstymą",
     "group": {
-      "label": "Koreguoti Kamerų Grupę"
+      "label": "Redaguoti Kamerų Grupę"
     },
-    "exitEdit": "Palikti Redagavimą"
+    "exitEdit": "Išeiti Iš Redagavimo"
+  },
+  "noCameras": {
+    "title": "Nėra Sukonfiguruotų Kamerų",
+    "description": "Pradėti nuo kameros prijungimo pire Frigate.",
+    "buttonText": "Pridėti Kamerą"
+  },
+  "snapshot": {
+    "takeSnapshot": "Atsisiųsti momentinį kadrą",
+    "noVideoSource": "Momentinei nuotraukai nėra prieinamo video šaltinio.",
+    "captureFailed": "Nepavyko užfiksuoti kadro.",
+    "downloadStarted": "Momentinės nuotraukos atsisiuntimas pradėtas."
   }
 }
diff --git a/web/public/locales/lt/views/search.json b/web/public/locales/lt/views/search.json
index 054efd004..eac3b4f55 100644
--- a/web/public/locales/lt/views/search.json
+++ b/web/public/locales/lt/views/search.json
@@ -26,7 +26,8 @@
       "recognized_license_plate": "Atpažinti Registracijos Numeriai",
       "has_clip": "Turi Klipą",
       "has_snapshot": "Turi Nuotrauką",
-      "sub_labels": "Sub Etiketės"
+      "sub_labels": "Sub Etiketės",
+      "attributes": "Atributai"
     },
     "searchType": {
       "thumbnail": "Miniatiūra",
diff --git a/web/public/locales/lt/views/settings.json b/web/public/locales/lt/views/settings.json
index bef8b8519..3cad3b210 100644
--- a/web/public/locales/lt/views/settings.json
+++ b/web/public/locales/lt/views/settings.json
@@ -3,13 +3,15 @@
     "default": "Nustatymai - Frigate",
     "authentication": "Autentifikavimo Nustatymai - Frigate",
     "camera": "Kameros Nustatymai - Frigate",
-    "object": "Derinti - Frigate",
-    "general": "Bendrieji Nustatymai - Frigate",
+    "object": "Debug - Frigate",
+    "general": "Vartotojo Sąsajos Nustatymai - Frigate",
     "frigatePlus": "Frigate+ Nustatymai - Frigate",
     "notifications": "Pranešimų Nustatymai - Frigate",
     "motionTuner": "Judesio Derinimas - Frigate",
     "enrichments": "Patobulinimų Nustatymai - Frigate",
-    "masksAndZones": "Maskavimo ir Zonų redaktorius - Frigate"
+    "masksAndZones": "Maskavimo ir Zonų redaktorius - Frigate",
+    "cameraManagement": "Valdyti Kameras - Frigate",
+    "cameraReview": "Kameros Peržiūros Nustatymai - Frigate"
   },
   "menu": {
     "ui": "UI",
@@ -17,11 +19,14 @@
     "cameras": "Kameros Nustatymai",
     "masksAndZones": "Maskavimai / Zonos",
     "motionTuner": "Judesio Derintojas",
-    "debug": "Derinimas",
+    "debug": "Debug",
     "users": "Vartotojai",
     "notifications": "Pranešimai",
     "frigateplus": "Frigate+",
-    "triggers": "Trigeriai"
+    "triggers": "Trigeriai",
+    "roles": "Rolės",
+    "cameraManagement": "Valdymas",
+    "cameraReview": "Peržiūra"
   },
   "dialog": {
     "unsavedChanges": {
@@ -34,7 +39,7 @@
     "noCamera": "Nėra Kameros"
   },
   "general": {
-    "title": "Bendri Nustatymai",
+    "title": "Vartotojo Sąsajos Nustatymai",
     "liveDashboard": {
       "title": "Tiesioginės Transliacijos Skydelis",
       "automaticLiveView": {
@@ -44,6 +49,14 @@
       "playAlertVideos": {
         "label": "Leist Įspejimų Vaizdus",
         "desc": "Pagal nutylėjimą, paskutinieji įspėjimai rodomį kaip maži cikliški vaizdo įrašai. Šią funkciją išjunkite jei norite matyti statinius įspėjimų paveiksliukus šiame įrenginyje/naršyklėje."
+      },
+      "displayCameraNames": {
+        "label": "Visada Rodyti Kamerų Pavadinimus",
+        "desc": "Keletos kamerų tiesioginės transliacijos tinklelyje visada rodyti kameros pavadinimą žymoje."
+      },
+      "liveFallbackTimeout": {
+        "label": "Transliacijos atstatymas neišlauktas",
+        "desc": "Kai kameros aukštos raiškos transliacija nepasiekiama, persijungti į žemos raiškos rėžimą po tiek tai sekundžių. Default: 3."
       }
     },
     "storedLayouts": {
@@ -146,7 +159,7 @@
     "title": "Kamerų Nustatymai",
     "streams": {
       "title": "Transliacijos",
-      "desc": "Laikinai išjunkite kamerą kol Frigate bus perkrautas. Išjungiant kamerą visiškai sustabdo Frigate veiklą šiai kamerai. Nebus aptikimų, įrašų ar derinimų.<br /><em>Pastaba: Tai neišjungs go2rtc sratų.</em>"
+      "desc": "Laikinai išjunkite kamerą kol Frigate bus perkrautas. Išjungiant kamerą visiškai sustabdo Frigate veiklą šiai kamerai. Nebus aptikimų, įrašų ar debug informacijos.<br /><em>Pastaba: Tai neišjungs go2rtc sratų.</em>"
     },
     "review": {
       "desc": "Trumpam įjungti/išjungti įspėjimus ir aptikimus šiai kamerai iki kol Frigate bus perkrautas. Kai išjungta, naujos peržiūros nebus kuriamos. ",
@@ -229,7 +242,7 @@
       "name": {
         "title": "Pavadinimas",
         "inputPlaceHolder": "Įveskite pavadinimą …",
-        "tips": "Pavadinimas privalo būti bent 2 simboliai ir negali būti toks pat kaip kita kamera ar zona."
+        "tips": "Pavadinimas privalo būti bent 2 simboliai, privalo turėti bent vieną raidę ir negali būti toks pat kaip kita kamera ar kita šios kameros zona."
       },
       "inertia": {
         "title": "Inercija",
@@ -263,7 +276,7 @@
         }
       },
       "toast": {
-        "success": "Zona ({{zoneName}}) buvo išsaugota. Perkrauti Frigate kad įgalinti pokyčius."
+        "success": "Zona ({{zoneName}}) buvo išsaugota."
       }
     },
     "motionMasks": {
@@ -288,8 +301,8 @@
       "clickDrawPolygon": "Spragtelti kad piešti poligoną ant atvaizdo.",
       "toast": {
         "success": {
-          "title": "{{polygonName}} išsaugotas. Perkrauti Frigate, kad pritaikyti pokyčius.",
-          "noName": "Judesio Maskuotė buvo išsaugota. Perkrauti Frigate, kad pritaikyti pokyčius."
+          "title": "{{polygonName}} išsaugotas.",
+          "noName": "Judesio Maskuotė buvo išsaugota."
         }
       }
     },
@@ -314,8 +327,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} buvo išsaugotas. Perkrauti Frigate, kad pritaikyti pokyčius.",
-          "noName": "Objektų Maskuotė buvo išsaugota. Perkrauti Frigate, kad pritaikyti pokyčius."
+          "title": "{{polygonName}} buvo išsaugotas.",
+          "noName": "Objektų Maskuotė buvo išsaugota."
         }
       }
     },
@@ -416,17 +429,17 @@
       "currentRMS": "Dabartinis RMS",
       "currentdbFS": "Dabartinis dbFS"
     },
-    "title": "Derinti",
-    "desc": "Derinimo vaizde rodomas tiesioginis vaizdas sekamų objektų ir statistikos. Objektų sąrašas rodo užvėlintą santrauką aptiktų objektų.",
+    "title": "Debug",
+    "desc": "Debug vaizde rodomas tiesioginis vaizdas sekamų objektų ir statistikos. Objektų sąrašas rodo užvėlintą santrauką aptiktų objektų.",
     "openCameraWebUI": "Atverti {{camera}} kameros Web prieigą",
-    "debugging": "Derinama",
+    "debugging": "Debugging",
     "objectList": "Objektų sąrašas",
     "noObjects": "Objektų nėra",
     "boundingBoxes": {
-      "title": "Apibrėžiančios dėžutės",
-      "desc": "Rodyti apibrėžiančias dėžutes aplink sekamus objektus",
+      "title": "Apribojantys stačiakampiai",
+      "desc": "Rodyti apribojančius stačiakampius aplink sekamus objektus",
       "colors": {
-        "label": "Objektus Apibrėžiančių Dėžučių Spalvos",
+        "label": "Objektus Apribojančių Stačiakampių Spalvos",
         "info": "<li>Pradžioje, skirtingos spalvos bus priskirtos kiekvienai objekto etiketei</li><li>Tamsiai mėlyna plona linija simbolizuoja, kad objektas esamu momentu dar nėra aptiktas</li><li>Pilka linija nurodo kad objektas yra aptiktas kaip nejudantis</li><li> Stora linija nurodo kad objektas yra automatiškai sekamas (kai įjungta)</li>"
       }
     },
@@ -539,7 +552,7 @@
       "desc": "Valdyti šios Frigate aplinkos vartotojų paskyras."
     },
     "addUser": "Pridėti Vartotoją",
-    "updatePassword": "Atnaujinti Slaptažodį",
+    "updatePassword": "Atkurti Slaptažodį",
     "toast": {
       "success": {
         "createUser": "Vartotojas {{user}} sėkmingai sukurtas",
@@ -560,7 +573,7 @@
       "role": "Rolė",
       "noUsers": "Vartotojų nerasta.",
       "changeRole": "Pakeisti vartotojo rolę",
-      "password": "Slaptažodis",
+      "password": "Atkurti Slaptažodį",
       "deleteUser": "Ištrinti vartotoją"
     }
   },
@@ -581,10 +594,10 @@
       "form": {
         "name": {
           "title": "Pavadinimas",
-          "placeholder": "Įvesti trigerio pavadinimą",
+          "placeholder": "Užvadinkite trigerį",
           "error": {
-            "minLength": "Pavadinimas turi būti bent dviejų simbolių ilgio.",
-            "invalidCharacters": "Pavadinime gali būti tik raidės, skaičiai, pabraukimai ir brūkšnelis.",
+            "minLength": "Laukelis turi būti bent dviejų simbolių ilgio.",
+            "invalidCharacters": "Laukelyje gali būti tik raidės, skaičiai, pabraukimai ir brūkšnelis.",
             "alreadyExists": "Trigeris su tokiu vardu jau yra šiai kamerai."
           }
         },
@@ -597,9 +610,9 @@
         },
         "content": {
           "title": "Turinys",
-          "imagePlaceholder": "Pasirinkti paveikslėlį",
+          "imagePlaceholder": "Parinkti miniatiūrą",
           "textPlaceholder": "Įvesti teksto turinį",
-          "imageDesc": "Pasirinkite paveikslėli kad inicijuotumėte veiksmą kai panašus vaizdas bus aptiktas.",
+          "imageDesc": "Rodoma tik 100 paskutinių miniatiūrų. Jei norimos miniatiūros nerandate, galite ieškoti senesnių įrašų per Paieškų meniu ir tenai kurti trigerį.",
           "textDesc": "Įveskite tekstą kad inicijuotumėte veiksmą kai panašus sekamo objekto aprašymas bus aptiktas.",
           "error": {
             "required": "Turinys privalomas."
@@ -614,16 +627,21 @@
         },
         "actions": {
           "title": "Veiksmai",
-          "desc": "Pagal nutylėjimą, Frigate sukuria MQTT žinutę visiem trigeriams. Pasirinkite kokius papildomus veiksmus atlikti kai trigeris suveiks.",
+          "desc": "Pagal nutylėjimą, Frigate sukuria MQTT žinutę visiem trigeriams. Subetiketės prideda trigerio pavadinimą prie objekto etiketės. Atributai, tai paieškai pasiekiami metaduomenys saugomi atskirai sekamų objektų metaduomenyse.",
           "error": {
             "min": "Bent vienas veiksmas privalo būti parinktas."
           }
+        },
+        "friendly_name": {
+          "title": "Draugiškas Pavadinimas",
+          "placeholder": "Pavadinikite ar apibūdinkite trigerį",
+          "description": "Draugiškas pavadinimas ar apibūdinimas šiam trigeriui nėra būtinas."
         }
       }
     },
     "documentTitle": "Trigeriai",
     "management": {
-      "title": "Trigerių Valdymas",
+      "title": "Trigeriai",
       "desc": "Valdykite trigerius kamerai {{camera}}. Naudokite miniatiūros tipą, kad panašios miniatiūros būtų jūsų pasirinkto objekto trigeris, o aprašymo trigerį kad panašūs aprašymai būtų trigeris pagal jūsų parašytą tekstą."
     },
     "addTrigger": "Pridėti Trigerį",
@@ -657,6 +675,10 @@
         "updateTriggerFailed": "Nepavyko atnaujinti trigerio: {{errorMessage}}",
         "deleteTriggerFailed": "Nepavyko ištrinti trigerio: {{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "title": "Semantic Paieška išjungta",
+      "desc": "Norint naudoti Trigerius Semantic Paieška privalo būti įjungta."
     }
   },
   "notification": {
@@ -768,7 +790,9 @@
     "toast": {
       "success": {
         "deleteRole": "Rolė {{role}} sėkmingai pašalinta",
-        "userRolesUpdated": "{{count}} šios rolės vartotojai buvo priskirti rolei 'žiūrovas', kuri turi prieigą prie visų kamerų.",
+        "userRolesUpdated_one": "{{count}} šios rolės vartotojas buvo priskirti rolei 'žiūrovas', kuri turi prieigą prie visų kamerų.",
+        "userRolesUpdated_few": "{{count}} šios rolės vartotojai buvo priskirti rolei 'žiūrovas', kuri turi prieigą prie visų kamerų.",
+        "userRolesUpdated_other": "{{count}} šios rolės vartotojų buvo priskirti rolei 'žiūrovas', kuri turi prieigą prie visų kamerų.",
         "createRole": "Rolė {{role}} sėkmingai sukurta",
         "updateCameras": "Atnaujintos kameros rolei {{role}}"
       },
@@ -814,5 +838,48 @@
       "title": "Žiūrovo Rolės Valdymas",
       "desc": "Valdyti šios Frigate aplinkos specializuotas žiūrovo roles ir kamerų prieigos leidimus."
     }
+  },
+  "cameraWizard": {
+    "title": "Pridėti Kamerą",
+    "description": "Sekite žemiau nurodytus žingsnius norėdami pridėti naują kamerą prie savo Frigate.",
+    "steps": {
+      "nameAndConnection": "Pavadinimas ir Jungtis",
+      "streamConfiguration": "Transliacijos Nustatymai",
+      "validationAndTesting": "Patikra ir Testavimas"
+    },
+    "save": {
+      "success": "Nauja kamera sėkmingai išsaugota {{cameraName}}.",
+      "failure": "Klaida išsaugant {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Rezoliucija",
+      "video": "Vaizdas",
+      "audio": "Garsas",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Prašau pateikti galiojantį transliacijos URL",
+      "testFailed": "Transliacijos testas nepavyko: {{error}}"
+    },
+    "step1": {
+      "description": "Įveskite savo kameros informaciją ir pasirinkite \"probe\" kamerai arba rankiniu būdų pasirinkite gamintoją.",
+      "cameraName": "Kameros Pavadinimas",
+      "cameraNamePlaceholder": "pvz., priekines_durys arba Galinio Kiemo Vaizdas",
+      "host": "Host/IP Adresas",
+      "port": "Port",
+      "username": "Vartotojo vardas",
+      "usernamePlaceholder": "Pasirinktinai",
+      "password": "Slaptažodis",
+      "passwordPlaceholder": "Pasirinktinai",
+      "selectTransport": "Pasirinkite perdavimo protokolą",
+      "cameraBrand": "Kameros Gamintojas",
+      "selectBrand": "Pasirinkite kameros gamintoją URL šablonui",
+      "customUrl": "Kameros Transliacijos URL",
+      "brandInformation": "Gamintojo informacija",
+      "brandUrlFormat": "Kamerai su RTSP URL formatas kaip: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://vartotojas:slaptažodis@host:port/path",
+      "testConnection": "Testuoti Susijungimą",
+      "testSuccess": "Susijungimo testas sėkmingas!"
+    }
   }
 }
diff --git a/web/public/locales/lt/views/system.json b/web/public/locales/lt/views/system.json
index 8918ad32d..f390d9671 100644
--- a/web/public/locales/lt/views/system.json
+++ b/web/public/locales/lt/views/system.json
@@ -76,7 +76,12 @@
         }
       },
       "npuUsage": "NPU Naudojimas",
-      "npuMemory": "NPU Atmintis"
+      "npuMemory": "NPU Atmintis",
+      "intelGpuWarning": {
+        "title": "Intel GPU statistikų įspėjimas",
+        "message": "GPU statistika negalima",
+        "description": "Tai žinoma problema su Intel GPU statistikos raportavimo įrankiu (intel_gpu_top), kai jis stringa ir pakartotinai grąžina GPU vartojimas 0% net tais atvejais kai hardware acceleration ir objektų aptikimas taisiklingai veikia naudojant (i)GPU. Tai nėra Frigate klaida. Laikinai padeda įrenginio perkrovimas, kad įsitikinti teisingu GPU funkcionavimu. Tai neįtakoja spartos."
+      }
     },
     "otherProcesses": {
       "title": "Kiti Procesai",
diff --git a/web/public/locales/lv/audio.json b/web/public/locales/lv/audio.json
new file mode 100644
index 000000000..aab12a1b2
--- /dev/null
+++ b/web/public/locales/lv/audio.json
@@ -0,0 +1,35 @@
+{
+  "speech": "Runāšana",
+  "bicycle": "Velosipēds",
+  "babbling": "Pļāpāšana",
+  "car": "Automašīna",
+  "yell": "Kliedziens",
+  "motorcycle": "Motocikls",
+  "bellow": "Rēciens",
+  "whoop": "Izsauciens",
+  "bus": "Autobuss",
+  "whispering": "Čuksti",
+  "train": "Vilciens",
+  "insect": "Kukainis",
+  "mosquito": "Ods",
+  "fly": "Muša",
+  "frog": "Varde",
+  "snake": "Čūska",
+  "music": "Mūzika",
+  "musical_instrument": "Mūzikas instruments",
+  "plucked_string_instrument": "Stīgu instruments",
+  "guitar": "Ģitāra",
+  "electric_guitar": "Elektriskā ģitāra",
+  "bass_guitar": "Basģitāra",
+  "acoustic_guitar": "Akustiskā ģitāra",
+  "banjo": "Bandžo",
+  "piano": "Klavieres",
+  "electric_piano": "Sintezators",
+  "organ": "Ērģeles",
+  "electronic_organ": "Elektriskās ērģeles",
+  "harpsichord": "Klavesīns",
+  "laughter": "Smiekli",
+  "boat": "Laiva",
+  "snicker": "Ķiķināšana",
+  "camera": "Kamera"
+}
diff --git a/web/public/locales/lv/common.json b/web/public/locales/lv/common.json
new file mode 100644
index 000000000..3e8d06126
--- /dev/null
+++ b/web/public/locales/lv/common.json
@@ -0,0 +1,304 @@
+{
+  "time": {
+    "untilForTime": "Līdz {{time}}",
+    "today": "Šodien",
+    "yesterday": "Vakar",
+    "last7": "Pēdējās 7 dienas",
+    "last14": "Pēdējās 14 dienas",
+    "last30": "Pēdējās 30 dienas",
+    "thisWeek": "Šonedēļ",
+    "lastWeek": "Pagājušajā nedēļā",
+    "thisMonth": "Šomēnes",
+    "lastMonth": "Pagājušajā mēnesī",
+    "5minutes": "5 minūtes",
+    "10minutes": "10 minūtes",
+    "30minutes": "30 minūtes",
+    "1hour": "1 stunda",
+    "12hours": "12 stundas",
+    "24hours": "24 stundas",
+    "pm": "pm",
+    "am": "am",
+    "yr": "{{time}}g",
+    "year_zero": "{{time}} gadi",
+    "year_one": "{{time}} gads",
+    "year_other": "{{time}} gadi",
+    "mo": "{{time}}mēn",
+    "month_zero": "{{time}}mēneši",
+    "month_one": "{{time}}mēnesis",
+    "month_other": "{{time}}mēneši",
+    "d": "{{time}}d",
+    "day_zero": "{{time}} dienas",
+    "day_one": "{{time}} diena",
+    "day_other": "{{time}} dienas",
+    "h": "{{time}}s",
+    "hour_zero": "{{time}}stundas",
+    "hour_one": "{{time}}stunda",
+    "hour_other": "{{time}}stundas",
+    "m": "{{time}}m",
+    "minute_zero": "{{time}} minutes",
+    "minute_one": "{{time}} minute",
+    "minute_other": "{{time}} minutes",
+    "s": "{{time}}sek",
+    "second_zero": "{{time}} sekundes",
+    "second_one": "{{time}} sekunde",
+    "second_other": "{{time}} sekundes",
+    "formattedTimestamp": {
+      "12hour": "MMM d, h:mm:ss aaa",
+      "24hour": "MMM d, HH:mm:ss"
+    },
+    "formattedTimestamp2": {
+      "12hour": "MM/dd h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
+    },
+    "formattedTimestampHourMinute": {
+      "12hour": "h:mm aaa",
+      "24hour": "HH:mm"
+    },
+    "formattedTimestampHourMinuteSecond": {
+      "12hour": "h:mm:ss aaa",
+      "24hour": "HH:mm:ss"
+    },
+    "formattedTimestampMonthDayHourMinute": {
+      "12hour": "MMM d, h:mm aaa",
+      "24hour": "MMM d, HH:mm"
+    },
+    "formattedTimestampMonthDayYear": {
+      "12hour": "MMM d, yyyy",
+      "24hour": "MMM d, yyyy"
+    },
+    "formattedTimestampMonthDayYearHourMinute": {
+      "12hour": "MMM d yyyy, h:mm aaa",
+      "24hour": "MMM d yyyy, HH:mm"
+    },
+    "formattedTimestampMonthDay": "MMM d",
+    "formattedTimestampFilename": {
+      "12hour": "MM-dd-yy-h-mm-ss-a",
+      "24hour": "MM-dd-yy-HH-mm-ss"
+    },
+    "inProgress": "Izpilda",
+    "invalidStartTime": "Nederīgs sākuma laiks",
+    "invalidEndTime": "Nederīgs beigu laiks",
+    "untilForRestart": "Līdz Frigate pārstartējas.",
+    "untilRestart": "Līdz pārstartēšanai",
+    "ago": "{{timeAgo}} pirms",
+    "justNow": "Nupat"
+  },
+  "unit": {
+    "speed": {
+      "mph": "mp/h",
+      "kph": "km/h"
+    },
+    "length": {
+      "feet": "Pēda",
+      "meters": "metri"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/stundā",
+      "mbph": "MB/stundā",
+      "gbph": "GB/stundā"
+    }
+  },
+  "label": {
+    "back": "Atgriezties",
+    "hide": "Paslēpt {{item}}",
+    "show": "Rādīt {{item}}",
+    "ID": "ID",
+    "none": "Nav",
+    "all": "Viss"
+  },
+  "list": {
+    "two": "{{0}} un {{1}}",
+    "many": "{{items}}, un {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "Pēc izvēles",
+    "internalID": "Iekšējais frigates identifikators, ko izmanto konfigurācijā un datubāzē"
+  },
+  "button": {
+    "apply": "Apstiprināt",
+    "reset": "Atiestatīt",
+    "done": "Gatavs",
+    "enabled": "Ieslēgts",
+    "enable": "Ieslēgt",
+    "disabled": "Izslēgts",
+    "disable": "Izslēgt",
+    "save": "Saglabāt",
+    "saving": "Saglabā…",
+    "cancel": "Atcelt",
+    "close": "Aizvērt",
+    "copy": "Kopēt",
+    "back": "Atpakaļ",
+    "history": "Vēsture",
+    "fullscreen": "Pilnekrāna režīms",
+    "exitFullscreen": "Iziet no pilnekrāna režīma",
+    "pictureInPicture": "Attēls attēlā",
+    "twoWayTalk": "Divvirzienu saruna",
+    "cameraAudio": "Kameras Audio",
+    "on": "Iesl",
+    "off": "Izsl",
+    "edit": "Labot",
+    "copyCoordinates": "Kopēt koordinātas",
+    "delete": "Dzēst",
+    "yes": "Jā",
+    "no": "Nē",
+    "download": "Lejupielādēt",
+    "info": "Informācija",
+    "suspended": "Apturēts",
+    "unsuspended": "Atjaunot",
+    "play": "Atskaņot",
+    "unselect": "Noņemt izvēlēto",
+    "export": "Eksportēt",
+    "deleteNow": "Izdzēst tagad",
+    "next": "Nākamais",
+    "continue": "Turpināt"
+  },
+  "menu": {
+    "system": "Sistēma",
+    "systemMetrics": "Sistēmas rādītāji",
+    "configuration": "Konfigurācija",
+    "systemLogs": "Sistēmas žurnāli",
+    "settings": "Iestatījumi",
+    "configurationEditor": "Konfigurācijas redaktors",
+    "languages": "Valodas",
+    "language": {
+      "en": "English (angļu)",
+      "es": "Español (spāņu)",
+      "zhCN": "简体中文 (Vienkāršotā ķīniešu)",
+      "hi": "हिन्दी (hindi)",
+      "fr": "Français (Franču)",
+      "ar": "العربية (Arābu)",
+      "pt": "Português (Portugāļu)",
+      "ptBR": "Português brasileiro (Brazīlijas portugāļu)",
+      "ru": "Русский (Krievu)",
+      "de": "Deutsch (Vācu)",
+      "ja": "日本語 (Japāņu)",
+      "tr": "Türkçe (Turku)",
+      "it": "Italiano (Itāļu)",
+      "nl": "Nederlands (Nīderlandiešu)",
+      "sv": "Svenska (Zviedru)",
+      "cs": "Čeština (Čehu)",
+      "nb": "Norsk Bokmål (Norvēģu Bokmål)",
+      "ko": "한국어 (Korejiešu)",
+      "vi": "Tiếng Việt (Vjetnamiešu)",
+      "fa": "فارسی (Persiešu)",
+      "pl": "Polski (Poļu)",
+      "uk": "Українська (Ukraiņu)",
+      "he": "עברית (Ebreju)",
+      "el": "Ελληνικά (Grieķu)",
+      "ro": "Română (Rumāņu)",
+      "hu": "Magyar (Ungāru)",
+      "fi": "Suomi (Somu)",
+      "da": "Dansk (Dāņu)",
+      "sk": "Slovenčina (Slovāku)",
+      "yue": "粵語 (Kantonas)",
+      "th": "ไทย (Taju)",
+      "ca": "Català (Katalāņu)",
+      "sr": "Српски (Serbu)",
+      "sl": "Slovenščina (Slovēņu)",
+      "lt": "Lietuvių (Lietuviešu)",
+      "bg": "Български (Bulgāru)",
+      "gl": "Galego (Galisiešu)",
+      "id": "Bahasa Indonesia (Indonēziešu)",
+      "ur": "اردو (urdu)",
+      "withSystem": {
+        "label": "Izmantojiet sistēmas iestatījumus valodai"
+      }
+    },
+    "appearance": "Izskats",
+    "darkMode": {
+      "label": "Tumšais režīms",
+      "light": "Gaišs",
+      "dark": "Tumšs",
+      "withSystem": {
+        "label": "Izmantojiet sistēmas iestatījumus gaišajam vai tumšajam režīmam"
+      }
+    },
+    "withSystem": "Sistēma",
+    "theme": {
+      "label": "Tēma",
+      "blue": "Zila",
+      "green": "Zaļa",
+      "nord": "Ziemeļu",
+      "red": "Sarkana",
+      "highcontrast": "Augsta kontrasta",
+      "default": "Noklusējuma"
+    },
+    "help": "Palīdzība",
+    "documentation": {
+      "title": "Dokumentācija",
+      "label": "Frigates dokumentācija"
+    },
+    "restart": "Restartēt Frigate",
+    "live": {
+      "title": "Tiešraide",
+      "allCameras": "Visas kameras",
+      "cameras": {
+        "title": "Kameras",
+        "count_zero": "{{count}}kameras",
+        "count_one": "{{count}}kamera",
+        "count_other": "{{count}}kameras"
+      }
+    },
+    "review": "Pārskats",
+    "explore": "Meklēt notikumus",
+    "export": "Eksportēt",
+    "uiPlayground": "Interfeisa testēšanas vide",
+    "faceLibrary": "Seju bibliotēka",
+    "classification": "Atpazīšana",
+    "user": {
+      "title": "Lietotājs",
+      "account": "Konts",
+      "current": "Pašreizējais lietotājs: {{user}}",
+      "anonymous": "anonīms",
+      "logout": "Iziet",
+      "setPassword": "Izveidot paroli"
+    }
+  },
+  "toast": {
+    "copyUrlToClipboard": "Adrese nokopēta.",
+    "save": {
+      "title": "Saglabāt",
+      "error": {
+        "title": "Neizdevās saglabāt konfigurācijas izmaiņas: {{errorMessage}}",
+        "noMessage": "Neizdevās saglabāt konfigurācijas izmaiņas"
+      }
+    }
+  },
+  "role": {
+    "title": "Loma",
+    "admin": "Administrators",
+    "viewer": "Skatītājs",
+    "desc": "Administratoriem ir pilna piekļuve visām Frigate funkcijām. Skatītāji var skatīt tikai kameras, skatāmos elementus un arhivētos ierakstus."
+  },
+  "pagination": {
+    "label": "lappuse",
+    "previous": {
+      "title": "Iepriekšējais",
+      "label": "Pāriet uz iepriekšējo lapu"
+    },
+    "next": {
+      "title": "Nākamā",
+      "label": "Dodieties uz nākamo lapu"
+    },
+    "more": "Vairāk lapas"
+  },
+  "accessDenied": {
+    "documentTitle": "Piekļuve liegta - Frigate",
+    "title": "Piekļuve liegta",
+    "desc": "Jums nav atļaujas skatīt šo lapu."
+  },
+  "notFound": {
+    "documentTitle": "Nav atrasts - Frigate",
+    "title": "404",
+    "desc": "Lapa nav atrasta"
+  },
+  "selectItem": "Izvēlēties {{item}}",
+  "readTheDocumentation": "Laslīt dokumentāciju",
+  "information": {
+    "pixels": "{{area}}px"
+  }
+}
diff --git a/web/public/locales/lv/components/auth.json b/web/public/locales/lv/components/auth.json
new file mode 100644
index 000000000..b8b99fa54
--- /dev/null
+++ b/web/public/locales/lv/components/auth.json
@@ -0,0 +1,16 @@
+{
+  "form": {
+    "user": "Lietotājvārds",
+    "password": "Parole",
+    "login": "Pieteikties",
+    "firstTimeLogin": "Vai mēģināt pieteikties pirmo reizi? Jūsu akreditācijas dati ir norādīti Frigate žurnālos.",
+    "errors": {
+      "usernameRequired": "Nepieciešams lietotājvārds",
+      "passwordRequired": "Nepieciešams ievadīt paroli",
+      "rateLimit": "Pārsniegts mēģinājumu skaits. Lūdzu, mēģiniet vēlreiz vēlāk.",
+      "loginFailed": "Pieteikšanās neizdevās",
+      "unknownError": "Nezināma kļūda. Pārbaudiet žurnālu.",
+      "webUnknownError": "Nezināma kļūda. Pārbaudiet konsoles žurnālus."
+    }
+  }
+}
diff --git a/web/public/locales/lv/components/camera.json b/web/public/locales/lv/components/camera.json
new file mode 100644
index 000000000..d061f554d
--- /dev/null
+++ b/web/public/locales/lv/components/camera.json
@@ -0,0 +1,86 @@
+{
+  "group": {
+    "label": "Kameru grupas",
+    "add": "Pievienot kameru grupu",
+    "edit": "Rediģēt kameru grupu",
+    "delete": {
+      "label": "Dzēst kameru grupu",
+      "confirm": {
+        "title": "Apstiprināt dzēšanu",
+        "desc": "Vai esi pārliecināts, ka vēlies izdzēst kameru grupu <em>{{name}}</em>?"
+      }
+    },
+    "name": {
+      "label": "Nosaukums",
+      "placeholder": "Ievadiet vārdu…",
+      "errorMessage": {
+        "mustLeastCharacters": "Kameru grupas nosaukumam jāsastāv no vismaz 2 rakstzīmēm.",
+        "exists": "Kameru grupas nosaukums jau pastāv.",
+        "nameMustNotPeriod": "Kameru grupas nosaukumā nedrīkst būt punkts.",
+        "invalid": "Nederīgs kameru grupas nosaukums."
+      }
+    },
+    "cameras": {
+      "label": "Kameras",
+      "desc": "Atlasiet kameras šai grupai."
+    },
+    "icon": "Ikona",
+    "success": "Kameru grupa ({{name}}) ir saglabāta.",
+    "camera": {
+      "birdseye": "Birds-eye",
+      "setting": {
+        "label": "Kameras straumēšanas iestatījumi",
+        "title": "Straumēšanas iestatījumi{{cameraName}}",
+        "desc": "Mainiet šīs kameru grupas paneļa tiešraides straumes iestatījumus. <em>Šie iestatījumi ir atkarīgi no ierīces/pārlūkprogrammas.</em>",
+        "audioIsAvailable": "Šai straumei ir pieejams audio",
+        "audioIsUnavailable": "Šai straumei nav pieejams audio.",
+        "audio": {
+          "tips": {
+            "title": "Šai straumei audio ir jāizvada no kameras un tas ir jākonfigurē go2rtc."
+          }
+        },
+        "stream": "Straume",
+        "placeholder": "Izvēlieties straumi",
+        "streamMethod": {
+          "label": "Straumēšanas metode",
+          "placeholder": "Izvēlieties straumēšanas metodi",
+          "method": {
+            "noStreaming": {
+              "label": "Nav straumēšanas",
+              "desc": "Kameru attēli tiks atjaunināti tikai reizi minūtē, bez tiešraides straumēšanas."
+            },
+            "smartStreaming": {
+              "label": "Viedā straumēšana (ieteicams)",
+              "desc": "Viedā straumēšana atjauninās kameras attēlu reizi minūtē, ja netiks konstatēta aktivitāte, lai taupītu joslas platumu un resursus. Kad tiks konstatēta aktivitāte, attēls nemanāmi pārslēdzas uz tiešraides straumēšanu."
+            },
+            "continuousStreaming": {
+              "label": "Nepārtraukta straumēšana",
+              "desc": {
+                "title": "Kameras attēls vienmēr būs tiešraidē, kad tas būs redzams informācijas panelī, pat ja netiks konstatēta nekāda aktivitāte.",
+                "warning": "Nepārtraukta straumēšana var izraisīt lielu joslas platuma izmantošanu un veiktspējas problēmas. Izmantojiet to piesardzīgi."
+              }
+            }
+          }
+        },
+        "compatibilityMode": {
+          "label": "Saderības režīms",
+          "desc": "Iespējojiet šo opciju tikai tad, ja kameras tiešraides straumē tiek rādīti krāsu artefakti un attēla labajā pusē ir diagonāla līnija."
+        }
+      }
+    }
+  },
+  "debug": {
+    "options": {
+      "label": "Iestatījumi",
+      "title": "Iespējas",
+      "showOptions": "Rādīt Iespējas",
+      "hideOptions": "Paslēpt Iespējas"
+    },
+    "boundingBox": "Ierobežojošs rāmis",
+    "timestamp": "Laika zīmogs",
+    "zones": "Zonas",
+    "mask": "Maska",
+    "motion": "Kustība",
+    "regions": "Reģioni"
+  }
+}
diff --git a/web/public/locales/lv/components/dialog.json b/web/public/locales/lv/components/dialog.json
new file mode 100644
index 000000000..3f52bc65d
--- /dev/null
+++ b/web/public/locales/lv/components/dialog.json
@@ -0,0 +1,123 @@
+{
+  "restart": {
+    "title": "Vai esi pārliecināts, ka vēlies pārstartēt Frigati?",
+    "button": "Pārstartēt",
+    "restarting": {
+      "title": "Frigate tiek pārstartēta",
+      "content": "Šī lapa tiks atkārtoti ielādēta pēc {{countdown}} sekundēm.",
+      "button": "Atjaunot tagad"
+    }
+  },
+  "explore": {
+    "plus": {
+      "submitToPlus": {
+        "label": "Sūtīt uz Frigate+",
+        "desc": "Objekti vietās, no kurām vēlaties izvairīties, nav kļūdaini pozitīvi. To iesniegšana kā kļūdaini pozitīvi radīs modelim neskaidrības."
+      },
+      "review": {
+        "question": {
+          "label": "Apstipriniet šo tagu pakalpojumam Frigate Plus",
+          "ask_a": "Vai šis objekts<code>{{label}}</code>?",
+          "ask_an": "Vai šis objekts ir<code>{{label}}</code>?",
+          "ask_full": "Vai šis objekts<code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
+        },
+        "state": {
+          "submitted": "Iesniegts"
+        }
+      }
+    },
+    "video": {
+      "viewInHistory": "Skatīt vēsturē"
+    }
+  },
+  "export": {
+    "time": {
+      "fromTimeline": "Izvēlieties no laika skalas",
+      "lastHour_zero": "Pēdējās stundas",
+      "lastHour_one": "Pēdējās{{count}}stundas",
+      "lastHour_other": "Pēdējās {{count}} stundas",
+      "custom": "Pielāgots",
+      "start": {
+        "title": "Sākuma laiks",
+        "label": "Izvēlieties Sākuma laiks"
+      },
+      "end": {
+        "title": "Beigu laiks",
+        "label": "Atlasiet Beigu laiks"
+      }
+    },
+    "name": {
+      "placeholder": "Ievadiet eksporta nosaukumu"
+    },
+    "select": "Izvēlieties",
+    "export": "Eksportēt",
+    "selectOrExport": "Atlasīt vai Eksportēt",
+    "toast": {
+      "success": "Eksportēšana veiksmīgi sākta. Skatiet failu eksportēšanas lapā.",
+      "view": "Skatīt",
+      "error": {
+        "failed": "Neizdevās sākt eksportēšanu: {{error}}",
+        "endTimeMustAfterStartTime": "Beigu laikam ir jābūt pēc sākuma laika",
+        "noVaildTimeSelected": "Nav izvēlēts derīgs laika diapazons"
+      }
+    },
+    "fromTimeline": {
+      "saveExport": "Saglabāt Eksportu",
+      "previewExport": "Priekšskatīt Eksportu"
+    }
+  },
+  "streaming": {
+    "label": "Straume",
+    "restreaming": {
+      "disabled": "Šai kamerai nav iespējota atkārtota straumēšana.",
+      "desc": {
+        "title": "Konfigurējiet go2rtc, lai šai kamerai varētu piekļūt papildu tiešraides skatīšanās un audio opcijām."
+      }
+    },
+    "showStats": {
+      "label": "Rādīt straumes statistiku",
+      "desc": "Iespējojiet šo opciju, lai straumes statistika tiktu rādīta kā pārklājums kameras attēlam."
+    },
+    "debugView": "Atkļūdošanas režīms"
+  },
+  "search": {
+    "saveSearch": {
+      "label": "Saglabāt meklēšanu",
+      "desc": "Norādiet šīs saglabātās meklēšanas nosaukumu.",
+      "placeholder": "Ievadiet meklēšanas nosaukumu",
+      "overwrite": "{{searchName}} jau pastāv. Saglabājot, esošā vērtība tiks pārrakstīta.",
+      "success": "Meklēšanas ({{searchName}}) ir saglabāts.",
+      "button": {
+        "save": {
+          "label": "Saglabāt šo meklēšanu"
+        }
+      }
+    }
+  },
+  "recording": {
+    "confirmDelete": {
+      "title": "Apstipriniet dzēšanu",
+      "desc": {
+        "selected": "Vai tiešām vēlaties dzēst visus ierakstītos video, kas saistīti ar šo pārskata vienumu?<br /><br />Turiet nospiestu taustiņu <em>Shift</em>, lai turpmāk apietu šo dialoglodziņu."
+      },
+      "toast": {
+        "success": "Ar atlasītajiem pārskata vienumiem saistītais videoieraksts ir veiksmīgi izdzēsts.",
+        "error": "Neizdevās dzēst: {{error}}"
+      }
+    },
+    "button": {
+      "export": "Eksportēt",
+      "markAsReviewed": "Atzīmēt kā skatītu",
+      "markAsUnreviewed": "Atzīmēt kā neskatītu",
+      "deleteNow": "Dzēst tūlīt"
+    }
+  },
+  "imagePicker": {
+    "selectImage": "Izsekojamā objekta sīktēla atlasīšana",
+    "unknownLabel": "Saglabāts sprūda attēls",
+    "search": {
+      "placeholder": "Meklēt pēc etiķetes vai apakšetiķetes..."
+    },
+    "noImages": "Šai kamerai nav atrasti sīktēli"
+  }
+}
diff --git a/web/public/locales/lv/components/filter.json b/web/public/locales/lv/components/filter.json
new file mode 100644
index 000000000..292946831
--- /dev/null
+++ b/web/public/locales/lv/components/filter.json
@@ -0,0 +1,52 @@
+{
+  "filter": "Filtrs",
+  "classes": {
+    "label": "Klases",
+    "all": {
+      "title": "Visas klases"
+    },
+    "count_one": "{{count}} klase",
+    "count_other": "{{count}} klases"
+  },
+  "labels": {
+    "label": "Atzīmes",
+    "all": {
+      "title": "Visas atzīmes",
+      "short": "Atzīmes"
+    },
+    "count_one": "{{count}} atzīme",
+    "count_other": "{{count}} Atzīmes"
+  },
+  "zones": {
+    "label": "Zonas",
+    "all": {
+      "title": "Visas zonas",
+      "short": "Zonas"
+    }
+  },
+  "dates": {
+    "selectPreset": "Periods…",
+    "all": {
+      "title": "Visi datumi",
+      "short": "Datumi"
+    }
+  },
+  "more": "Vairāk filtru",
+  "reset": {
+    "label": "Atiestatīt filtrus uz noklusējuma vērtībām"
+  },
+  "timeRange": "Laika diapazons",
+  "subLabels": {
+    "label": "Papildus atzīmes",
+    "all": "Visas papildus atzīmes"
+  },
+  "attributes": {
+    "label": "Klasifikācijas atribūti",
+    "all": "Visi atribūti"
+  },
+  "score": "Vērtējums",
+  "estimatedSpeed": "Paredzamais ātrums ({{unit}})",
+  "features": {
+    "label": "Funkcijas"
+  }
+}
diff --git a/web/public/locales/lv/components/icons.json b/web/public/locales/lv/components/icons.json
new file mode 100644
index 000000000..180b0b031
--- /dev/null
+++ b/web/public/locales/lv/components/icons.json
@@ -0,0 +1,8 @@
+{
+  "iconPicker": {
+    "selectIcon": "Izvēlēties ikonu",
+    "search": {
+      "placeholder": "Meklēt ikonu…"
+    }
+  }
+}
diff --git a/web/public/locales/lv/components/input.json b/web/public/locales/lv/components/input.json
new file mode 100644
index 000000000..f4af8fe4c
--- /dev/null
+++ b/web/public/locales/lv/components/input.json
@@ -0,0 +1,10 @@
+{
+  "button": {
+    "downloadVideo": {
+      "label": "Lejuplādēt video",
+      "toast": {
+        "success": "Video augšupielāde ir sākusies."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/lv/components/player.json b/web/public/locales/lv/components/player.json
new file mode 100644
index 000000000..43f8359f9
--- /dev/null
+++ b/web/public/locales/lv/components/player.json
@@ -0,0 +1,51 @@
+{
+  "noRecordingsFoundForThisTime": "Šim laika brīdim nav atrasti ieraksti",
+  "noPreviewFound": "Priekšskatījums nav atrasts",
+  "noPreviewFoundFor": "{{cameraName}} nav atrasts priekšskatījums",
+  "submitFrigatePlus": {
+    "title": "Nosūtīt šo kadru uz Frigate+?",
+    "submit": "Iesniegt"
+  },
+  "livePlayerRequiredIOSVersion": "Šāda veida straumēšanai nepieciešama iOS 17.1 vai jaunāka versija.",
+  "streamOffline": {
+    "title": "Bezsaistes straume",
+    "desc": "No kameras {{cameraName}} <code>detect</code> straumes netika saņemti kadri, pārbaudiet kļūdu žurnālus."
+  },
+  "cameraDisabled": "Kamera ir izslēgta",
+  "stats": {
+    "streamType": {
+      "title": "Straumes veids:",
+      "short": "Tips"
+    },
+    "bandwidth": {
+      "title": "Joslas platums:",
+      "short": "Joslas platums"
+    },
+    "latency": {
+      "title": "Latentums:",
+      "value": "{{seconds}} sekundes",
+      "short": {
+        "title": "Latentums",
+        "value": "{{seconds}} sek"
+      }
+    },
+    "totalFrames": "Kopējais kadru skaits:",
+    "droppedFrames": {
+      "title": "Izlaisti kadri:",
+      "short": {
+        "title": "Izlaisti",
+        "value": "{{droppedFrames}} kadri"
+      }
+    },
+    "decodedFrames": "Dekodētie kadri:",
+    "droppedFrameRate": "Kadru nomaiņas ātruma kritums:"
+  },
+  "toast": {
+    "success": {
+      "submittedFrigatePlus": "Kadrs veiksmīgi iesniegts pakalpojumam Frigate+"
+    },
+    "error": {
+      "submitFrigatePlusFailed": "Neizdevās iesniegt kadru Frigate+"
+    }
+  }
+}
diff --git a/web/public/locales/lv/objects.json b/web/public/locales/lv/objects.json
new file mode 100644
index 000000000..981d5cb44
--- /dev/null
+++ b/web/public/locales/lv/objects.json
@@ -0,0 +1,19 @@
+{
+  "person": "Persona",
+  "bicycle": "Velosipēds",
+  "car": "Automašīna",
+  "motorcycle": "Motocikls",
+  "airplane": "Lidmašīna",
+  "bus": "Autobuss",
+  "train": "Vilciens",
+  "package": "Paciņa",
+  "bbq_grill": "Grils",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "postnl": "PostNL",
+  "dpd": "DPD",
+  "boat": "Laiva"
+}
diff --git a/web/public/locales/lv/views/classificationModel.json b/web/public/locales/lv/views/classificationModel.json
new file mode 100644
index 000000000..5d26d5b74
--- /dev/null
+++ b/web/public/locales/lv/views/classificationModel.json
@@ -0,0 +1,36 @@
+{
+  "documentTitle": "Klassifikācijas modeļi",
+  "details": {
+    "scoreInfo": "Rezultāts atbilst vidējai klasifikācijas ticamībai no visām objekta detektēšanas reizēm.",
+    "none": "Nav",
+    "unknown": "Nezināms"
+  },
+  "description": {
+    "invalidName": "Nederīgs nosaukums. Nosaukumi drīkst saturēt tikai burtus, ciparus, atstarpes, apostrofus, pasvītras un defises."
+  },
+  "button": {
+    "deleteClassificationAttempts": "Dzēst klasifikācijas attēlus",
+    "renameCategory": "Pārdēvēt klasi",
+    "deleteCategory": "Dzēst klasi",
+    "deleteImages": "Dzēst attēlus"
+  },
+  "wizard": {
+    "step3": {
+      "training": {
+        "title": "Trenē modeli",
+        "description": "Tavs modelis tiek trenēts. Aizver šo paziņojumu, un tavs modelis tiks izmantots, tiklīdz trenēšana ir pabeigta."
+      },
+      "retryGenerate": "Atkārtot ģenerēšanu",
+      "classifying": "Klasificē un trenē...",
+      "trainingStarted": "Trenēšana veiksmīgi uzsākta",
+      "errors": {
+        "generateFailed": "Neizdevās ģenerēt piemērus: {{error}}",
+        "generationFailed": "Ģenerēšana neizdevās. Mēģini vēlreiz.",
+        "classifyFailed": "Neizdevās klasificēt attēlus: {{error}}"
+      }
+    }
+  },
+  "train": {
+    "titleShort": "Pēdējās"
+  }
+}
diff --git a/web/public/locales/lv/views/configEditor.json b/web/public/locales/lv/views/configEditor.json
new file mode 100644
index 000000000..286da8e9a
--- /dev/null
+++ b/web/public/locales/lv/views/configEditor.json
@@ -0,0 +1,18 @@
+{
+  "documentTitle": "Konfigurācijas rediģēšana - Frigate",
+  "configEditor": "Konfigurācijas redaktors",
+  "safeConfigEditor": "Konfigurācijas redaktors (drošais režīms)",
+  "safeModeDescription": "Frigate ir drošajā režīmā konfigurācijas pārbaudes kļūdas dēļ.",
+  "copyConfig": "Kopēt konfigurāciju",
+  "saveAndRestart": "Saglabāt un pārstartēt",
+  "saveOnly": "Tikai saglabāt",
+  "confirm": "Vai iziet, nesaglabājot?",
+  "toast": {
+    "success": {
+      "copyToClipboard": "Konfigurācija ir kopēta starpliktuvē."
+    },
+    "error": {
+      "savingError": "Saglabājot konfigurāciju, radās kļūda"
+    }
+  }
+}
diff --git a/web/public/locales/lv/views/events.json b/web/public/locales/lv/views/events.json
new file mode 100644
index 000000000..77d4d34e5
--- /dev/null
+++ b/web/public/locales/lv/views/events.json
@@ -0,0 +1,61 @@
+{
+  "alerts": "Paziņojumi",
+  "detections": "Atklājumi",
+  "motion": {
+    "label": "Kustība",
+    "only": "Tikai kustība"
+  },
+  "allCameras": "Visas kameras",
+  "empty": {
+    "alert": "Nav paziņojumu, kurus pārskatīt",
+    "detection": "Nav apskatāmu konstatējumu",
+    "motion": "Nav atrasti kustības dati"
+  },
+  "timeline": "Laika skala",
+  "timeline.aria": "Izvēlieties laika skalu",
+  "zoomIn": "Pietuvināt",
+  "zoomOut": "Tālināt",
+  "events": {
+    "label": "Notikumi",
+    "aria": "Izvēlieties notikumus",
+    "noFoundForTimePeriod": "Šajā laika periodā nav atrasts neviens notikums."
+  },
+  "detail": {
+    "label": "Detaļas",
+    "noDataFound": "Nav detalizētu datu pārskatīšanai",
+    "aria": "Pārslēgt detalizēto skatu",
+    "trackedObject_one": "{{count}} objekts",
+    "trackedObject_other": "{{count}} objekti",
+    "noObjectDetailData": "Nav pieejami objekta detalizēti dati.",
+    "settings": "Detaļas skata iestatījumi",
+    "alwaysExpandActive": {
+      "title": "Vienmēr izvērst aktīvs",
+      "desc": "Vienmēr izvērsiet aktīvā pārskata vienuma objekta informāciju, ja tāda ir pieejama."
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Izsekots punkts",
+    "clickToSeek": "Noklikšķiniet, lai pārietu uz šo laiku"
+  },
+  "documentTitle": "Pārskats - Frigate",
+  "recordings": {
+    "documentTitle": "Ieraksti - Frigate"
+  },
+  "calendarFilter": {
+    "last24Hours": "Pēdējās 24 stundas"
+  },
+  "markAsReviewed": "Atzīmēt kā pārskatītu",
+  "markTheseItemsAsReviewed": "Atzīmēt šos vienumus kā pārskatītus",
+  "newReviewItems": {
+    "label": "Skatīt jaunus atsauksmju vienumus",
+    "button": "Jauni vienumi, kas jāpārskata"
+  },
+  "selected_one": "atlasīts {{count}}",
+  "selected_other": "atlasīts {{count}}",
+  "select_all": "Viss",
+  "camera": "Kamera",
+  "detected": "atklāts",
+  "normalActivity": "Normāls",
+  "needsReview": "Nepieciešama pārskatīšana",
+  "securityConcern": "Drošības jautājums"
+}
diff --git a/web/public/locales/lv/views/explore.json b/web/public/locales/lv/views/explore.json
new file mode 100644
index 000000000..63a2d2cbc
--- /dev/null
+++ b/web/public/locales/lv/views/explore.json
@@ -0,0 +1,49 @@
+{
+  "documentTitle": "Notikumu meklēšana - Frigate",
+  "generativeAI": "Ģeneratīvs AI",
+  "exploreMore": "Paskatīt vairāk objektu{{label}}",
+  "details": {
+    "timestamp": "Laika zīmogs"
+  },
+  "exploreIsUnavailable": {
+    "title": "Notikumu meklēšana nav pieejama",
+    "embeddingsReindexing": {
+      "context": "Meklēšana būs pieejama pēc tam, kad būs pabeigta izsekoto objektu atkārtota indeksēšana.",
+      "startingUp": "Notiek palaišana…",
+      "estimatedTime": "Paredzamais atlikušais laiks:"
+    }
+  },
+  "itemMenu": {
+    "findSimilar": {
+      "label": "Atrast līdzīgus",
+      "aria": "Atrast līdzīgus izsekotos priekšmetus"
+    },
+    "submitToPlus": {
+      "label": "Iesniegt Frigate+",
+      "aria": "Iesniegt Frigate Plus"
+    },
+    "viewInHistory": {
+      "label": "Atrast vēsturē"
+    },
+    "deleteTrackedObject": {
+      "label": "Dzēst šo izsekoto priekšmetu"
+    }
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "Apstiprināt dzēšanu"
+    }
+  },
+  "searchResult": {
+    "nextTrackedObject": "Nākamais izsekotais objekts",
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "Izsekotais objekts veiksmīgi izdzēsts.",
+        "error": "Neizdevās izdzēst izsekoto objektu: {{errorMessage}}"
+      }
+    }
+  },
+  "aiAnalysis": {
+    "title": "MI analīze"
+  }
+}
diff --git a/web/public/locales/lv/views/exports.json b/web/public/locales/lv/views/exports.json
new file mode 100644
index 000000000..73209ce9e
--- /dev/null
+++ b/web/public/locales/lv/views/exports.json
@@ -0,0 +1,23 @@
+{
+  "documentTitle": "Eksportēt - Frigate",
+  "search": "Meklēt",
+  "noExports": "Eksporti nav atrasti",
+  "deleteExport": "Dzēst eksportu",
+  "deleteExport.desc": "Vai esi pārliecināts, ka vēlies izdzēst{{exportName}}?",
+  "editExport": {
+    "title": "Pārdēvēt eksportu",
+    "desc": "Ievadiet jaunu nosaukumu šim eksportam.",
+    "saveExport": "Saglabāt eksportu"
+  },
+  "tooltip": {
+    "shareExport": "Kopīgot eksportu",
+    "downloadVideo": "Lejupielādēt video",
+    "editName": "Rediģēt nosaukumu",
+    "deleteExport": "Eksporta dzēšana"
+  },
+  "toast": {
+    "error": {
+      "renameExportFailed": "Neizdevās pārdēvēt eksporta failu: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/lv/views/faceLibrary.json b/web/public/locales/lv/views/faceLibrary.json
new file mode 100644
index 000000000..f6e254c22
--- /dev/null
+++ b/web/public/locales/lv/views/faceLibrary.json
@@ -0,0 +1,93 @@
+{
+  "description": {
+    "addFace": "Pievienojiet savai seju bibliotēkai jaunu kolekciju, augšupielādējot savu pirmo attēlu.",
+    "placeholder": "Ievadi kolekcijas nosaukumu",
+    "invalidName": "Nederīgs nosaukums. Nosaukumi drīkst saturēt tikai burtus, ciparus, atstarpes, apostrofus, pasvītras un defises."
+  },
+  "details": {
+    "timestamp": "Laika zīmogs",
+    "unknown": "Nezināms",
+    "scoreInfo": "Rezultāts ir visu seju rezultāta vidējais, svērts pēc sejas izmēra katrā attēlā."
+  },
+  "documentTitle": "Seju bibliotēka - Frigate",
+  "uploadFaceImage": {
+    "title": "Augšupielādējiet sejas attēlu",
+    "desc": "Augšupielādējiet attēlu, lai skenētu sejas un iekļautu to lapā {{pageToggle}}"
+  },
+  "collections": "Kolekcijas",
+  "createFaceLibrary": {
+    "new": "Izveidojiet jaunu seju",
+    "nextSteps": "Lai izveidotu stabilu pamatu:<li>izmantojiet cilni “Nesenās atpazīšanas”, lai atlasītu un apmācītu attēlus katrai atpazītajai personai.</li><li>Lai iegūtu labākos rezultātus, koncentrējieties uz tiešiem attēliem; izvairieties no attēlu apmācības, kuros sejas ir attēlotas leņķī.</li></ul>"
+  },
+  "steps": {
+    "faceName": "Ievadiet sejas nosaukumu",
+    "uploadFace": "Augšupielādējiet sejas attēlu",
+    "nextSteps": "Nākamie soļi",
+    "description": {
+      "uploadFace": "Augšupielādējiet lietotāja {{name}} attēlu, kurā redzama viņa seja no priekšpuses. Attēls nav jāapgriež, lai redzētu tikai viņa seju."
+    }
+  },
+  "train": {
+    "title": "Pēdējās atpazīšanas",
+    "titleShort": "Pēdējās",
+    "aria": "Atlasiet pēdējās atpazīšanas",
+    "empty": "Nav pēdējo sejas atpazīšanas mēģinājumu"
+  },
+  "deleteFaceLibrary": {
+    "title": "Dzēst Vārdu",
+    "desc": "Vai tiešām vēlaties dzēst kolekciju {{name}}? Tas neatgriezeniski dzēsīs visas saistītās sejas."
+  },
+  "deleteFaceAttempts": {
+    "title": "Dzēst sejas",
+    "desc_zero": "Vai tiešām vēlaties dzēst {{count}} sejas? Šo darbību nevar atsaukt.",
+    "desc_one": "Vai tiešām vēlaties dzēst {{count}} seju? Šo darbību nevar atsaukt.",
+    "desc_other": "Vai tiešām vēlaties dzēst {{count}} sejas? Šo darbību nevar atsaukt."
+  },
+  "renameFace": {
+    "title": "Pārdēvēt seju",
+    "desc": "Ievadiet jaunu vārdu priekš {{name}}"
+  },
+  "button": {
+    "deleteFaceAttempts": "Dzēst sejas",
+    "addFace": "Pievienot seju",
+    "renameFace": "Pārdēvēt seju",
+    "deleteFace": "Dzēst seju",
+    "uploadImage": "Augšupielādēt attēlu",
+    "reprocessFace": "Atkārtoti apstrādāt seju"
+  },
+  "imageEntry": {
+    "validation": {
+      "selectImage": "Lūdzu, atlasiet attēla failu."
+    },
+    "dropActive": "Ievelciet attēlu šeit…",
+    "dropInstructions": "Velciet un nometiet vai ielīmējiet attēlu šeit vai noklikšķiniet, lai atlasītu",
+    "maxSize": "Max izmērs: {{size}} MB"
+  },
+  "nofaces": "Nav pieejama neviena seja",
+  "trainFaceAs": "Atcerieties seju kā:",
+  "trainFace": "Atcerieties seju",
+  "toast": {
+    "success": {
+      "uploadedImage": "Attēls veiksmīgi augšupielādēts.",
+      "addFaceLibrary": "{{name}} ir veiksmīgi pievienots seju bibliotēkai!",
+      "deletedFace_zero": "Veiksmīgi izdzēstas {{count}} sejas.",
+      "deletedFace_one": "Veiksmīgi izdzēsta {{count}} seja.",
+      "deletedFace_other": "Veiksmīgi izdzēstas {{count}} sejas.",
+      "deletedName_zero": "{{count}} sejas ir veiksmīgi izdzēstas.",
+      "deletedName_one": "{{count}} seja ir veiksmīgi izdzēsta.",
+      "deletedName_other": "{{count}} sejas ir veiksmīgi izdzēstas.",
+      "renamedFace": "Seja veiksmīgi pārdēvēta par {{name}}",
+      "trainedFace": "Seja ir veiksmīgi iegaumēta.",
+      "updatedFaceScore": "Sejas vērtējums ir veiksmīgi atjaunināts uz {{name}} ({{score}})."
+    },
+    "error": {
+      "uploadingImageFailed": "Neizdevās augšupielādēt attēlu: {{errorMessage}}",
+      "addFaceLibraryFailed": "Neizdevās iestatīt sejas vārdu: {{errorMessage}}",
+      "deleteFaceFailed": "Neizdevās dzēst: {{errorMessage}}",
+      "deleteNameFailed": "Neizdevās izdzēst vārdu: {{errorMessage}}",
+      "renameFaceFailed": "Neizdevās pārdēvēt seju: {{errorMessage}}",
+      "trainFailed": "Neizdevās atcerēties: {{errorMessage}}",
+      "updateFaceScoreFailed": "Neizdevās atjaunināt sejas vērtējumu: {{errorMessage}}"
+    }
+  }
+}
diff --git a/web/public/locales/lv/views/live.json b/web/public/locales/lv/views/live.json
new file mode 100644
index 000000000..b0f6887c5
--- /dev/null
+++ b/web/public/locales/lv/views/live.json
@@ -0,0 +1,13 @@
+{
+  "documentTitle": "Tiešraide - Frigate",
+  "documentTitle.withCamera": "{{camera}} - Tiešraide - Frigate",
+  "lowBandwidthMode": "Eko režīms",
+  "twoWayTalk": {
+    "enable": "Iespējot divvirzienu saziņu",
+    "disable": "Izslēgt divvirzienu sarunu"
+  },
+  "cameraAudio": {
+    "enable": "Iespējot kameras audio",
+    "disable": "Izslēgt kameras audio"
+  }
+}
diff --git a/web/public/locales/lv/views/recording.json b/web/public/locales/lv/views/recording.json
new file mode 100644
index 000000000..f2fb16614
--- /dev/null
+++ b/web/public/locales/lv/views/recording.json
@@ -0,0 +1,12 @@
+{
+  "export": "Eksportēt",
+  "filter": "Filtrs",
+  "calendar": "Kalendārs",
+  "filters": "Filtri",
+  "toast": {
+    "error": {
+      "noValidTimeSelected": "Atlasīts nederīgs laika diapazons",
+      "endTimeMustAfterStartTime": "Beigu laikam jābūt pēc sākuma laika"
+    }
+  }
+}
diff --git a/web/public/locales/lv/views/search.json b/web/public/locales/lv/views/search.json
new file mode 100644
index 000000000..b8bb465a9
--- /dev/null
+++ b/web/public/locales/lv/views/search.json
@@ -0,0 +1,73 @@
+{
+  "search": "Meklēt",
+  "savedSearches": "Saglabātie meklējumi",
+  "searchFor": "Meklēt {{inputValue}}",
+  "button": {
+    "clear": "Notīrīt meklēšanu",
+    "save": "Saglabāt meklēto",
+    "delete": "Izdzēst saglabāto meklējumu",
+    "filterInformation": "Filtra informācija",
+    "filterActive": "Filtri aktīvi"
+  },
+  "trackedObjectId": "Izsekojamā objekta ID",
+  "filter": {
+    "label": {
+      "cameras": "Kameras",
+      "labels": "Etiķetes",
+      "zones": "Zonas",
+      "sub_labels": "Papildu etiķetes",
+      "attributes": "Atribūti",
+      "search_type": "Meklēšanas veids",
+      "time_range": "Laika diapazons",
+      "before": "Pirms",
+      "after": "Pēc",
+      "min_score": "Minimālais rezultāts",
+      "max_score": "Maksimālais rezultāts",
+      "min_speed": "Minimālais ātrums",
+      "max_speed": "Maksimālais ātrums",
+      "recognized_license_plate": "Atpazīta numura zīme",
+      "has_clip": "Ir klips",
+      "has_snapshot": "Ir momentuzņēmums"
+    },
+    "searchType": {
+      "thumbnail": "Sīktēls",
+      "description": "Apraksts"
+    },
+    "toast": {
+      "error": {
+        "beforeDateBeLaterAfter": "'Pirms' datumam jābūt vēlākam par 'pēc' datumu.",
+        "afterDatebeEarlierBefore": "Datumam 'pēc' ir jābūt agrākam par datumu 'pirms'.",
+        "minScoreMustBeLessOrEqualMaxScore": "'Min_score' vērtībai ir jābūt mazākai vai vienādai ar 'max_score'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "Vērtībai 'max_score' ir jābūt lielākai vai vienādai ar 'min_score'.",
+        "minSpeedMustBeLessOrEqualMaxSpeed": "'Min_speed' ir jābūt mazākam vai vienādam ar 'max_speed'.",
+        "maxSpeedMustBeGreaterOrEqualMinSpeed": "Vērtībai 'max_speed' ir jābūt lielākai vai vienādai ar 'min_speed'."
+      }
+    },
+    "tips": {
+      "title": "Kā lietot teksta filtrus",
+      "desc": {
+        "text": "Filtri palīdz sašaurināt meklēšanas rezultātus. Lūk, kā tos izmantot ievades laukā:",
+        "step1": "Ierakstiet filtra atslēgas nosaukumu, kam seko kols (piemēram, \"kameras:\").",
+        "step2": "Atlasiet vērtību no ieteikumiem vai ierakstiet savu.",
+        "step3": "Izmantojiet vairākus filtrus, pievienojot tos vienu pēc otra ar atstarpi starp tiem.",
+        "step4": "Datuma filtri (pirms: un pēc:) izmanto formātu {{DateFormat}}.",
+        "step5": "Laika diapazona filtrs izmanto formātu {{exampleTime}}.",
+        "step6": "Noņemiet filtrus, noklikšķinot uz 'x' blakus tiem.",
+        "exampleLabel": "Piemērs:"
+      }
+    },
+    "header": {
+      "currentFilterType": "Filtrēt vērtības",
+      "noFilters": "Filtri",
+      "activeFilters": "Aktīvie filtri"
+    }
+  },
+  "similaritySearch": {
+    "title": "Līdzības meklēšana",
+    "active": "Aktīva līdzības meklēšana",
+    "clear": "Notīrīt līdzības meklēšanu"
+  },
+  "placeholder": {
+    "search": "Meklēt…"
+  }
+}
diff --git a/web/public/locales/lv/views/settings.json b/web/public/locales/lv/views/settings.json
new file mode 100644
index 000000000..57c27b436
--- /dev/null
+++ b/web/public/locales/lv/views/settings.json
@@ -0,0 +1,28 @@
+{
+  "documentTitle": {
+    "default": "Iestatījumi - Frigate",
+    "authentication": "Autentifikācijas iestatījumi - Frigate",
+    "cameraManagement": "Pārvaldīt kameras - Frigate",
+    "cameraReview": "Kameras skata iestatījumi - Frigate",
+    "enrichments": "Bagātināšanas iestatījumi - Frigate",
+    "masksAndZones": "Masku un zonu rediģētājs - Frigate",
+    "motionTuner": "Kustības noteikšana - Frigate"
+  },
+  "cameraWizard": {
+    "step1": {
+      "cameraName": "Kameras nosaukums",
+      "cameraNamePlaceholder": "piem. ieejas_durvis vai Pagalma kopskats",
+      "username": "Lietotājvārds",
+      "password": "Parole",
+      "cameraBrand": "Kameras ražotājs",
+      "brandInformation": "Ražotāja informācija",
+      "onvifPortDescription": "Kamerām, kas atbalsta ONVIF, ports parasti ir 80 vai 8080.",
+      "errors": {
+        "nameRequired": "Nepieciešams kameras noaukums",
+        "nameLength": "Kameras nosaukums nedrīkst būt garāks par 64 simboliem",
+        "invalidCharacters": "Kameras nosaukumā ir neatļauti simboli",
+        "nameExists": "Kameras nosaukums jau pastāv"
+      }
+    }
+  }
+}
diff --git a/web/public/locales/lv/views/system.json b/web/public/locales/lv/views/system.json
new file mode 100644
index 000000000..76db6be13
--- /dev/null
+++ b/web/public/locales/lv/views/system.json
@@ -0,0 +1,29 @@
+{
+  "documentTitle": {
+    "cameras": "Kameru statistika - Frigate",
+    "storage": "Uzglabāšanas statistika - Frigate",
+    "general": "Vispārīgā statistika - Frigate",
+    "enrichments": "Bagātināšanas statistika - Frigate",
+    "logs": {
+      "frigate": "Frigate konfigurācija - Frigate",
+      "go2rtc": "Logi Go2RTC - Frigate",
+      "nginx": "Logi Nginx - Frigate"
+    }
+  },
+  "stats": {
+    "cameraIsOffline": "{{camera}} ir izslēgta",
+    "detectIsSlow": "{{detect}} ir lēns ({{speed}} ms)",
+    "detectIsVerySlow": "{{detect}} ir ļoti lēns ({{speed}} ms)"
+  },
+  "enrichments": {
+    "infPerSecond": "Inferences sekundē",
+    "averageInf": "Vidējais inferences ilgums",
+    "embeddings": {
+      "face_recognition": "Seju atpazīšana",
+      "plate_recognition": "Numurzīmju atpazīšana",
+      "plate_recognition_speed": "Numurzīmju atpazīšanas ātrums",
+      "object_description": "Objekta apraksts",
+      "object_description_events_per_second": "Objekta apraksts"
+    }
+  }
+}
diff --git a/web/public/locales/ml/audio.json b/web/public/locales/ml/audio.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/audio.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/common.json b/web/public/locales/ml/common.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/common.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/components/auth.json b/web/public/locales/ml/components/auth.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/components/auth.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/components/camera.json b/web/public/locales/ml/components/camera.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/components/camera.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/components/dialog.json b/web/public/locales/ml/components/dialog.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/components/dialog.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/components/filter.json b/web/public/locales/ml/components/filter.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/components/filter.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/components/icons.json b/web/public/locales/ml/components/icons.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/components/icons.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/components/input.json b/web/public/locales/ml/components/input.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/components/input.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/components/player.json b/web/public/locales/ml/components/player.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/components/player.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/objects.json b/web/public/locales/ml/objects.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/objects.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/views/classificationModel.json b/web/public/locales/ml/views/classificationModel.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/views/classificationModel.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/views/configEditor.json b/web/public/locales/ml/views/configEditor.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/views/configEditor.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/views/events.json b/web/public/locales/ml/views/events.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/views/events.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/views/explore.json b/web/public/locales/ml/views/explore.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/views/explore.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/views/exports.json b/web/public/locales/ml/views/exports.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/views/exports.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/views/faceLibrary.json b/web/public/locales/ml/views/faceLibrary.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/views/faceLibrary.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/views/live.json b/web/public/locales/ml/views/live.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/views/live.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/views/recording.json b/web/public/locales/ml/views/recording.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/views/recording.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/views/search.json b/web/public/locales/ml/views/search.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/views/search.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/views/settings.json b/web/public/locales/ml/views/settings.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/views/settings.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/ml/views/system.json b/web/public/locales/ml/views/system.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ml/views/system.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/nb-NO/audio.json b/web/public/locales/nb-NO/audio.json
index 289d8273f..cdc92c4dd 100644
--- a/web/public/locales/nb-NO/audio.json
+++ b/web/public/locales/nb-NO/audio.json
@@ -425,5 +425,79 @@
   "pink_noise": "Rosa støy",
   "television": "Fjernsyn",
   "radio": "Radio",
-  "scream": "Skrik"
+  "scream": "Skrik",
+  "sodeling": "sodeling",
+  "chird": "chird",
+  "change_ringing": "klokkeringing",
+  "shofar": "shofar",
+  "liquid": "væske",
+  "splash": "plask",
+  "slosh": "skvulp",
+  "squish": "klemmelyd",
+  "drip": "drypp",
+  "pour": "helle",
+  "trickle": "sildre",
+  "gush": "strøm",
+  "fill": "fylle",
+  "spray": "spray",
+  "pump": "pumpe",
+  "stir": "røre",
+  "boiling": "koking",
+  "sonar": "sonar",
+  "arrow": "pil",
+  "whoosh": "sus",
+  "thump": "dump",
+  "thunk": "dunk",
+  "electronic_tuner": "elektronisk stemmeapparat",
+  "effects_unit": "effektenhet",
+  "chorus_effect": "kor-effekt",
+  "basketball_bounce": "basketsprettp",
+  "bang": "smell",
+  "slap": "klask",
+  "whack": "slag",
+  "smash": "knuselyd",
+  "breaking": "bryting",
+  "bouncing": "spretting",
+  "whip": "pisk",
+  "flap": "flaks",
+  "scratch": "skrap",
+  "scrape": "skrape",
+  "rub": "gnidning",
+  "roll": "rulling",
+  "crushing": "knusing",
+  "crumpling": "krølling",
+  "tearing": "riving",
+  "beep": "pip",
+  "ping": "ping",
+  "ding": "ding",
+  "clang": "klang",
+  "squeal": "hvin",
+  "creak": "knirk",
+  "rustle": "rasling",
+  "whir": "surr",
+  "clatter": "klirrelyd",
+  "sizzle": "susing",
+  "clicking": "klikkelyd",
+  "clickety_clack": "klikk-klakk",
+  "rumble": "rumling",
+  "plop": "plopp",
+  "hum": "brumming",
+  "zing": "svisj",
+  "boing": "boing",
+  "crunch": "knekk",
+  "sine_wave": "sinusbølge",
+  "harmonic": "harmonisk",
+  "chirp_tone": "pipetone",
+  "pulse": "puls",
+  "inside": "innendørs",
+  "outside": "utendørs",
+  "reverberation": "etterklang",
+  "echo": "ekko",
+  "noise": "støy",
+  "mains_hum": "nettbrumming",
+  "distortion": "forvrengning",
+  "sidetone": "sidetone",
+  "cacophony": "kakofoni",
+  "throbbing": "pulsering",
+  "vibration": "vibrasjon"
 }
diff --git a/web/public/locales/nb-NO/common.json b/web/public/locales/nb-NO/common.json
index af3d8b7b7..f58f12ea4 100644
--- a/web/public/locales/nb-NO/common.json
+++ b/web/public/locales/nb-NO/common.json
@@ -81,7 +81,10 @@
     "formattedTimestampMonthDayYear": {
       "24hour": "d. MMM, yyyy",
       "12hour": "d. MMM, yyyy"
-    }
+    },
+    "inProgress": "Pågår",
+    "invalidStartTime": "Ugyldig starttid",
+    "invalidEndTime": "Ugyldig sluttid"
   },
   "button": {
     "copy": "Kopier",
@@ -118,7 +121,8 @@
     "unselect": "Fjern valg",
     "export": "Eksporter",
     "deleteNow": "Slett nå",
-    "next": "Neste"
+    "next": "Neste",
+    "continue": "Fortsett"
   },
   "menu": {
     "help": "Hjelp",
@@ -139,7 +143,7 @@
     "review": "Inspiser",
     "explore": "Utforsk",
     "export": "Eksporter",
-    "uiPlayground": "UI Sandkasse",
+    "uiPlayground": "UI-Sandkasse",
     "faceLibrary": "Ansiktsbibliotek",
     "user": {
       "title": "Bruker",
@@ -219,7 +223,8 @@
       "contrast": "Høy kontrast",
       "default": "Standard",
       "highcontrast": "Høy kontrast"
-    }
+    },
+    "classification": "Klassifisering"
   },
   "pagination": {
     "next": {
@@ -241,10 +246,24 @@
     "length": {
       "meters": "meter",
       "feet": "fot"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/time",
+      "mbph": "MB/time",
+      "gbph": "GB/time"
     }
   },
   "label": {
-    "back": "Gå tilbake"
+    "back": "Gå tilbake",
+    "hide": "Skjul {{item}}",
+    "show": "Vis {{item}}",
+    "ID": "ID",
+    "none": "Ingen",
+    "all": "Alle",
+    "other": "Andre"
   },
   "toast": {
     "copyUrlToClipboard": "Nettadresse kopiert til utklippstavlen.",
@@ -273,5 +292,17 @@
     "desc": "Siden ble ikke funnet"
   },
   "selectItem": "Velg {{item}}",
-  "readTheDocumentation": "Se dokumentasjonen"
+  "readTheDocumentation": "Se dokumentasjonen",
+  "information": {
+    "pixels": "{{area}}piklser"
+  },
+  "field": {
+    "internalID": "Den interne ID-en som Frigate bruker i konfigurasjonen og databasen",
+    "optional": "Valgfritt"
+  },
+  "list": {
+    "two": "{{0}} og {{1}}",
+    "many": "{{items}}, og {{last}}",
+    "separatorWithSpace": ", "
+  }
 }
diff --git a/web/public/locales/nb-NO/components/auth.json b/web/public/locales/nb-NO/components/auth.json
index caf6a2ca6..c59cd4eb8 100644
--- a/web/public/locales/nb-NO/components/auth.json
+++ b/web/public/locales/nb-NO/components/auth.json
@@ -10,6 +10,7 @@
       "loginFailed": "Innlogging mislyktes",
       "unknownError": "Ukjent feil. Sjekk loggene.",
       "webUnknownError": "Ukjent feil. Sjekk konsoll-loggene."
-    }
+    },
+    "firstTimeLogin": "Prøver du å logge inn for første gang? Påloggingsinformasjonen er skrevet ut i Frigate-loggene."
   }
 }
diff --git a/web/public/locales/nb-NO/components/camera.json b/web/public/locales/nb-NO/components/camera.json
index 6c7e9966b..750e09e63 100644
--- a/web/public/locales/nb-NO/components/camera.json
+++ b/web/public/locales/nb-NO/components/camera.json
@@ -77,7 +77,7 @@
       "showOptions": "Vis alternativer",
       "hideOptions": "Skjul alternativer"
     },
-    "boundingBox": "Omsluttende boks",
+    "boundingBox": "Avgrensningsboks",
     "timestamp": "Tidsstempel",
     "zones": "Soner",
     "mask": "Maske",
diff --git a/web/public/locales/nb-NO/components/dialog.json b/web/public/locales/nb-NO/components/dialog.json
index 58ff2e3f9..fb9bb312d 100644
--- a/web/public/locales/nb-NO/components/dialog.json
+++ b/web/public/locales/nb-NO/components/dialog.json
@@ -29,7 +29,7 @@
           "false_other": "Dette er ikke en {{label}}"
         },
         "question": {
-          "label": "Bekreft denne merkelappen for Frigate Plus",
+          "label": "Bekreft denne etiketten for Frigate Plus",
           "ask_an": "Er dette objekt en <code>{{label}}</code>?",
           "ask_a": "Er dette objektet en <code>{{label}}</code>?",
           "ask_full": "Er dette objekt en <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?"
@@ -56,12 +56,13 @@
       }
     },
     "toast": {
-      "success": "Eksporten startet. Se filen i /exports-mappen.",
+      "success": "Eksport startet. Se filen på eksportsiden.",
       "error": {
         "failed": "Klarte ikke å starte eksport: {{error}}",
         "noVaildTimeSelected": "Ingen gyldig tidsperiode valgt",
         "endTimeMustAfterStartTime": "Sluttid må være etter starttid"
-      }
+      },
+      "view": "Vis"
     },
     "fromTimeline": {
       "previewExport": "Forhåndsvis eksport",
@@ -117,14 +118,16 @@
     "button": {
       "export": "Eksportér",
       "markAsReviewed": "Merk som inspisert",
-      "deleteNow": "Slett nå"
+      "deleteNow": "Slett nå",
+      "markAsUnreviewed": "Merk som ikke inspisert"
     }
   },
   "imagePicker": {
     "selectImage": "Velg et sporet objekts miniatyrbilde",
     "search": {
-      "placeholder": "Søk etter (under-)merkelapp..."
+      "placeholder": "Søk etter (under-)etikett..."
     },
-    "noImages": "Ingen miniatyrbilder funnet for dette kameraet"
+    "noImages": "Ingen miniatyrbilder funnet for dette kameraet",
+    "unknownLabel": "Lagret utløserbilde"
   }
 }
diff --git a/web/public/locales/nb-NO/components/filter.json b/web/public/locales/nb-NO/components/filter.json
index b7b81da9b..eb0684619 100644
--- a/web/public/locales/nb-NO/components/filter.json
+++ b/web/public/locales/nb-NO/components/filter.json
@@ -1,30 +1,30 @@
 {
   "filter": "Filter",
   "labels": {
-    "label": "Merkelapper",
+    "label": "Etiketter",
     "all": {
-      "title": "Alle masker / soner",
-      "short": "Merkelapper"
+      "title": "Alle etiketter",
+      "short": "Etiketter"
     },
     "count": "{{count}} merkelapper",
-    "count_other": "{{count}} Merkelapper",
-    "count_one": "{{count}} Merkelapp"
+    "count_other": "{{count}} Etiketter",
+    "count_one": "{{count}} Etikett"
   },
   "features": {
     "hasVideoClip": "Har et videoklipp",
     "submittedToFrigatePlus": {
       "label": "Sendt til Frigate+",
-      "tips": "Du må først filtrere på sporede objekter som har et øyeblikksbilde.<br /><br />Sporede objekter uten et øyeblikksbilde kan ikke sendes til Frigate+."
+      "tips": "Du må først filtrere på sporede objekter som har et stillbilde.<br /><br />Sporede objekter uten et stillbilde kan ikke sendes til Frigate+."
     },
     "label": "Funksjoner",
-    "hasSnapshot": "Har et øyeblikksbilde"
+    "hasSnapshot": "Har et stillbilde"
   },
   "sort": {
     "label": "Sorter",
     "dateAsc": "Dato (Stigende)",
     "dateDesc": "Dato (Synkende)",
-    "scoreAsc": "Objektpoengsum (Stigende)",
-    "scoreDesc": "Objektpoengsum (Synkende)",
+    "scoreAsc": "Objektscore (Stigende)",
+    "scoreDesc": "Objektscore (Synkende)",
     "speedAsc": "Estimert hastighet (Stigende)",
     "speedDesc": "Estimert hastighet (Synkende)",
     "relevance": "Relevans"
@@ -39,7 +39,7 @@
       "title": "Innstillinger",
       "defaultView": {
         "title": "Standard visning",
-        "desc": "Når ingen filtre er valgt, vis et sammendrag av de nyeste sporede objektene per merkelapp, eller vis et ufiltrert rutenett.",
+        "desc": "Når ingen filtre er valgt, vis et sammendrag av de nyeste sporede objektene per etikett, eller vis et ufiltrert rutenett.",
         "summary": "Sammendrag",
         "unfilteredGrid": "Ufiltrert rutenett"
       },
@@ -69,7 +69,7 @@
   },
   "trackedObjectDelete": {
     "title": "Bekreft sletting",
-    "desc": "Sletting av disse {{objectLength}} sporede objektene fjerner øyeblikksbildet, eventuelle lagrede vektorrepresentasjoner og tilhørende objekt livssyklusoppføringer. Opptak av disse sporede objektene i Historikkvisning vil <em>IKKE</em> bli slettet.<br /><br />Er du sikker på at du vil fortsette?<br /><br />Hold <em>Shift</em>-tasten for å unngå denne dialogboksen i fremtiden.",
+    "desc": "Sletting av disse {{objectLength}} sporede objektene fjerner stillbildet, eventuelle lagrede vektorrepresentasjoner og tilhørende objekt livssyklusoppføringer. Opptak av disse sporede objektene i Historikkvisning vil <em>IKKE</em> bli slettet.<br /><br />Er du sikker på at du vil fortsette?<br /><br />Hold <em>Shift</em>-tasten for å unngå denne dialogboksen i fremtiden.",
     "toast": {
       "success": "Sporede objekter ble slettet.",
       "error": "Kunne ikke slette sporede objekter: {{errorMessage}}"
@@ -101,10 +101,10 @@
   },
   "timeRange": "Tidsrom",
   "subLabels": {
-    "label": "Under-Merkelapper",
-    "all": "Alle under-Merkelapper"
+    "label": "Underetiketter",
+    "all": "Alle underetiketter"
   },
-  "score": "Poengsum",
+  "score": "Score",
   "estimatedSpeed": "Estimert hastighet ({{unit}})",
   "cameras": {
     "all": {
@@ -133,5 +133,9 @@
     },
     "count_one": "{{count}} Klasse",
     "count_other": "{{count}} Klasser"
+  },
+  "attributes": {
+    "label": "Klassifiseringsattributter",
+    "all": "Alle attributter"
   }
 }
diff --git a/web/public/locales/nb-NO/components/player.json b/web/public/locales/nb-NO/components/player.json
index 5396af367..b08459cfc 100644
--- a/web/public/locales/nb-NO/components/player.json
+++ b/web/public/locales/nb-NO/components/player.json
@@ -37,7 +37,7 @@
   "livePlayerRequiredIOSVersion": "iOS 17.1 eller høyere kreves for denne typen direkte-strømming.",
   "streamOffline": {
     "title": "Strømmen er frakoblet",
-    "desc": "Ingen bilder er mottatt på {{cameraName}} <code>detekt</code> strømmen, sjekk feilloggene"
+    "desc": "Ingen bilder er mottatt på {{cameraName}} <code>detekt</code>-strømmen, sjekk feilloggene"
   },
   "cameraDisabled": "Kameraet er deaktivert",
   "toast": {
diff --git a/web/public/locales/nb-NO/objects.json b/web/public/locales/nb-NO/objects.json
index d292b63b8..5c7c5edd2 100644
--- a/web/public/locales/nb-NO/objects.json
+++ b/web/public/locales/nb-NO/objects.json
@@ -101,7 +101,7 @@
   "raccoon": "Vaskebjørn",
   "robot_lawnmower": "Robotgressklipper",
   "waste_bin": "Avfallsbeholder",
-  "on_demand": "På forespørsel",
+  "on_demand": "Manuelt opptak",
   "face": "Ansikt",
   "license_plate": "Kjennemerke",
   "package": "Pakke",
diff --git a/web/public/locales/nb-NO/views/classificationModel.json b/web/public/locales/nb-NO/views/classificationModel.json
new file mode 100644
index 000000000..e7ee73f08
--- /dev/null
+++ b/web/public/locales/nb-NO/views/classificationModel.json
@@ -0,0 +1,185 @@
+{
+  "documentTitle": "Klassifiseringsmodeller - Frigate",
+  "button": {
+    "deleteClassificationAttempts": "Slett klassifiseringsbilder",
+    "renameCategory": "Omdøp klasse",
+    "deleteCategory": "Slett klasse",
+    "deleteImages": "Slett bilder",
+    "trainModel": "Tren modell",
+    "addClassification": "Legg til klassifisering",
+    "deleteModels": "Slett modeller",
+    "editModel": "Rediger modell"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Klasse slettet",
+      "deletedImage": "Bilder slettet",
+      "categorizedImage": "Klassifiserte bildet",
+      "trainedModel": "Modellen ble trent.",
+      "trainingModel": "Modelltrening startet.",
+      "deletedModel_one": "{{count}} modell ble slettet",
+      "deletedModel_other": "{{count}} modeller ble slettet",
+      "updatedModel": "Modellkonfigurasjonen ble oppdatert",
+      "renamedCategory": "Klassen ble omdøpt til {{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "Kunne ikke slette: {{errorMessage}}",
+      "deleteCategoryFailed": "Kunne ikke slette klasse: {{errorMessage}}",
+      "categorizeFailed": "Kunne ikke klassifisere bilde: {{errorMessage}}",
+      "trainingFailed": "Modelltrening mislyktes. Sjekk Frigate-loggene for detaljer.",
+      "deleteModelFailed": "Kunne ikke slette modell: {{errorMessage}}",
+      "trainingFailedToStart": "Kunne ikke starte modelltrening: {{errorMessage}}",
+      "updateModelFailed": "Kunne ikke oppdatere modell: {{errorMessage}}",
+      "renameCategoryFailed": "Kunne ikke omdøpe klasse: {{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "Slett klasse",
+    "desc": "Er du sikker på at du vil slette klassen {{name}}? Dette vil permanent slette alle tilknyttede bilder og kreve at modellen trenes på nytt.",
+    "minClassesTitle": "Kan ikke slette klasse",
+    "minClassesDesc": "En klassifiseringsmodell må ha minst 2 klasser. Legg til en ny klasse før du sletter denne."
+  },
+  "deleteDatasetImages": {
+    "title": "Slett datasettbilder",
+    "desc": "Er du sikker på at du vil slette {{count}} bilder fra {{dataset}}? Denne handlingen kan ikke angres og krever at modellen trenes på nytt."
+  },
+  "deleteTrainImages": {
+    "title": "Slett treningsbilder",
+    "desc": "Er du sikker på at du vil slette {{count}} bilder? Denne handlingen kan ikke angres."
+  },
+  "renameCategory": {
+    "title": "Omdøp klasse",
+    "desc": "Skriv inn et nytt navn for {{name}}. Du må trene modellen på nytt for at navneendringen skal tre i kraft."
+  },
+  "description": {
+    "invalidName": "Ugyldig navn. Navn kan kun inneholde bokstaver, tall, mellomrom, apostrof, understrek og bindestrek."
+  },
+  "train": {
+    "title": "Nylige klassifiseringer",
+    "aria": "Velg nylige klassifiseringer",
+    "titleShort": "Nylige"
+  },
+  "categories": "Klasser",
+  "createCategory": {
+    "new": "Opprett ny klasse"
+  },
+  "categorizeImageAs": "Klassifiser bilde som:",
+  "categorizeImage": "Klassifiser bilde",
+  "noModels": {
+    "object": {
+      "title": "Ingen objektklassifiseringsmodeller",
+      "description": "Opprett en tilpasset modell for å klassifisere oppdagede objekter.",
+      "buttonText": "Opprett objektmodell"
+    },
+    "state": {
+      "title": "Ingen tilstandsklassifiseringsmodeller",
+      "description": "Opprett en tilpasset modell for å overvåke og klassifisere tilstandsendringer i spesifikke kamerasoner.",
+      "buttonText": "Opprett tilstandsmodell"
+    }
+  },
+  "wizard": {
+    "title": "Opprett ny klassifisering",
+    "steps": {
+      "nameAndDefine": "Navn og definér",
+      "stateArea": "Tilstandsområde",
+      "chooseExamples": "Velg eksempler"
+    },
+    "step1": {
+      "description": "Tilstandsmodeller overvåker faste kamerasoner for endringer (f.eks. dør åpen/lukket). Objektmodeller legger til klassifiseringer for oppdagede objekter (f.eks. kjente dyr, bud, osv.).",
+      "name": "Navn",
+      "namePlaceholder": "Skriv inn modellnavn...",
+      "type": "Type",
+      "typeState": "Tilstand",
+      "typeObject": "Objekt",
+      "objectLabel": "Objektetikett",
+      "objectLabelPlaceholder": "Velg objekttype...",
+      "classificationType": "Klassifiseringstype",
+      "classificationTypeTip": "Lær om klassifiseringstyper",
+      "classificationTypeDesc": "Underetiketter legger til ekstra tekst på objektetiketten (f.eks. 'Person: Posten'). Attributter er søkbare metadata som lagres separat i objektets metadata.",
+      "classificationSubLabel": "Underetikett",
+      "classificationAttribute": "Attributt",
+      "classes": "Klasser",
+      "classesTip": "Lær om klasser",
+      "classesStateDesc": "Definer de ulike tilstandene kamerasonen kan være i. For eksempel: 'åpen' og 'lukket' for en garasjeport.",
+      "classesObjectDesc": "Definer klassene du vil klassifisere oppdagede objekter i. For eksempel: 'bud', 'beboer', 'fremmed' for personklassifisering.",
+      "classPlaceholder": "Skriv inn klassenavn...",
+      "errors": {
+        "nameRequired": "Modellnavn er påkrevd",
+        "nameLength": "Modellnavn må være på 64 tegn eller mindre",
+        "nameOnlyNumbers": "Modellnavn kan ikke bare inneholde tall",
+        "classRequired": "Minst én klasse er påkrevd",
+        "classesUnique": "Klassenavn må være unike",
+        "stateRequiresTwoClasses": "Tilstandsmodeller krever minst 2 klasser",
+        "objectLabelRequired": "Velg en objektetikett",
+        "objectTypeRequired": "Velg en klassifiseringstype",
+        "noneNotAllowed": "Klassen 'ingen' er ikke tillatt"
+      },
+      "states": "Tilstander"
+    },
+    "step2": {
+      "description": "Velg kameraer og definer området som skal overvåkes for hvert kamera. Modellen vil klassifisere tilstanden til disse områdene.",
+      "cameras": "Kameraer",
+      "selectCamera": "Velg kamera",
+      "noCameras": "Klikk + for å legge til kameraer",
+      "selectCameraPrompt": "Velg et kamera fra listen for å definere overvåkingsområdet"
+    },
+    "step3": {
+      "selectImagesPrompt": "Velg alle bilder med: {{className}}",
+      "selectImagesDescription": "Klikk på bilder for å velge dem. Klikk Fortsett når du er ferdig med denne klassen.",
+      "generating": {
+        "title": "Genererer eksempelbilder",
+        "description": "Frigate henter representative bilder fra opptakene dine. Dette kan ta litt tid..."
+      },
+      "training": {
+        "title": "Trener modell",
+        "description": "Modellen din trenes i bakgrunnen. Lukk dette vinduet, så starter modellen når treningen er ferdig."
+      },
+      "retryGenerate": "Prøv å generere på nytt",
+      "noImages": "Ingen eksempelbilder generert",
+      "classifying": "Klassifiserer og trener...",
+      "trainingStarted": "Trening startet",
+      "errors": {
+        "noCameras": "Ingen kameraer konfigurert",
+        "noObjectLabel": "Ingen objektetikett valgt",
+        "generateFailed": "Kunne ikke generere eksempler: {{error}}",
+        "generationFailed": "Generering mislyktes. Prøv igjen.",
+        "classifyFailed": "Kunne ikke klassifisere bilder: {{error}}"
+      },
+      "generateSuccess": "Eksempelbilder ble generert",
+      "allImagesRequired_one": "Vennligst klassifiser alle bildene. {{count}} bilde gjenstår.",
+      "allImagesRequired_other": "Vennligst klassifiser alle bildene. {{count}} bilder gjenstår.",
+      "modelCreated": "Modellen ble opprettet. Bruk visningen Nylige klassifiseringer for å legge til bilder for manglende tilstander, og tren deretter modellen.",
+      "missingStatesWarning": {
+        "title": "Manglende tilstandseksempler",
+        "description": "Det anbefales å velge eksempler for alle tilstander for å oppnå best mulig resultat. Du kan fortsette uten å velge alle tilstander, men modellen vil ikke bli trent før alle tilstander har bilder. Etter at du har gått videre, bruk visningen Nylige klassifiseringer for å klassifisere bilder for de manglende tilstandene, og tren deretter modellen."
+      }
+    }
+  },
+  "deleteModel": {
+    "title": "Slett klassifiseringsmodell",
+    "single": "Er du sikker på at du vil slette {{name}}? Dette vil permanent slette alle tilknyttede data, inkludert bilder og treningsdata. Denne handlingen kan ikke angres.",
+    "desc": "Er du sikker på at du vil slette {{count}} modell(er)? Dette vil permanent slette alle tilknyttede data, inkludert bilder og treningsdata. Denne handlingen kan ikke angres."
+  },
+  "menu": {
+    "objects": "Objekter",
+    "states": "Tilstander"
+  },
+  "details": {
+    "scoreInfo": "Score representerer gjennomsnittlig klassifiseringskonfidens på tvers av alle deteksjoner av dette objektet.",
+    "none": "Ingen",
+    "unknown": "Ukjent"
+  },
+  "tooltip": {
+    "trainingInProgress": "Modellen trenes nå",
+    "noNewImages": "Ingen nye bilder å trene på. Klassifiser flere bilder i datasettet først.",
+    "noChanges": "Ingen endringer i datasettet siden forrige trening.",
+    "modelNotReady": "Modellen er ikke klar til å trenes"
+  },
+  "edit": {
+    "title": "Rediger klassifiseringsmodell",
+    "descriptionState": "Rediger klassene for denne tilstandsklassifiseringsmodellen. Endringer vil kreve at modellen trenes på nytt.",
+    "descriptionObject": "Rediger objekttypen og klassifiseringstypen for denne objektklassifiseringsmodellen.",
+    "stateClassesInfo": "Merk: Endring av tilstandsklasser krever at modellen trenes på nytt med de oppdaterte klassene."
+  },
+  "none": "Ingen"
+}
diff --git a/web/public/locales/nb-NO/views/events.json b/web/public/locales/nb-NO/views/events.json
index e333fb5ef..5e77f38ed 100644
--- a/web/public/locales/nb-NO/views/events.json
+++ b/web/public/locales/nb-NO/views/events.json
@@ -3,7 +3,11 @@
   "empty": {
     "alert": "Det er ingen varsler å inspisere",
     "detection": "Det er ingen deteksjoner å inspisere",
-    "motion": "Ingen bevegelsesdata funnet"
+    "motion": "Ingen bevegelsesdata funnet",
+    "recordingsDisabled": {
+      "title": "Opptak må være aktivert",
+      "description": "Inspeksjonselementer kan kun opprettes for et kamera når opptak er aktivert for det kameraet."
+    }
   },
   "timeline": "Tidslinje",
   "events": {
@@ -23,7 +27,7 @@
   },
   "allCameras": "Alle kameraer",
   "timeline.aria": "Velg tidslinje",
-  "documentTitle": "Inspiser - Frigate",
+  "documentTitle": "Inspeksjon - Frigate",
   "recordings": {
     "documentTitle": "Opptak - Frigate"
   },
@@ -36,5 +40,28 @@
   "selected_other": "{{count}} valgt",
   "detected": "detektert",
   "suspiciousActivity": "Mistenkelig aktivitet",
-  "threateningActivity": "Truende aktivitet"
+  "threateningActivity": "Truende aktivitet",
+  "detail": {
+    "noDataFound": "Ingen detaljer å inspisere",
+    "aria": "Vis/skjul detaljvisning",
+    "trackedObject_one": "{{count}} objekt",
+    "trackedObject_other": "{{count}} objekter",
+    "noObjectDetailData": "Ingen detaljdata for objektet tilgjengelig.",
+    "label": "Detalj",
+    "settings": "Detaljvisning – innstillinger",
+    "alwaysExpandActive": {
+      "desc": "Utvid alltid objektdetaljene for det aktive gjennomgangselementet når tilgjengelig.",
+      "title": "Utvid alltid for aktive"
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Sporingspunkt",
+    "clickToSeek": "Klikk for å gå til dette tidspunktet"
+  },
+  "zoomIn": "Zoom inn",
+  "zoomOut": "Zoom ut",
+  "normalActivity": "Normal",
+  "needsReview": "Trenger inspeksjon",
+  "securityConcern": "Sikkerhetsrisiko",
+  "select_all": "Alle"
 }
diff --git a/web/public/locales/nb-NO/views/explore.json b/web/public/locales/nb-NO/views/explore.json
index 9f14df89f..a9fe5230a 100644
--- a/web/public/locales/nb-NO/views/explore.json
+++ b/web/public/locales/nb-NO/views/explore.json
@@ -19,7 +19,7 @@
         "visionModel": "Visjonsmodell",
         "visionModelFeatureExtractor": "Funksjonsekstraktor for visjonsmodell",
         "textModel": "Tekstmodell",
-        "textTokenizer": "Tekst symbolbygger"
+        "textTokenizer": "Tekst-tokeniserer"
       },
       "context": "Frigate laster ned de nødvendige vektorrepresentasjonsmodellene for å støtte funksjonen for semantisk søk. Dette kan ta flere minutter, avhengig av hastigheten på nettverksforbindelsen din.",
       "tips": {
@@ -87,28 +87,30 @@
       },
       "toast": {
         "success": {
-          "updatedSublabel": "Under-merkelapp oppdatert med suksess.",
+          "updatedSublabel": "Underetikett ble oppdatert.",
           "updatedLPR": "Vellykket oppdatering av kjennemerke.",
           "regenerate": "En ny beskrivelse har blitt anmodet fra {{provider}}. Avhengig av hastigheten til leverandøren din, kan den nye beskrivelsen ta litt tid å regenerere.",
-          "audioTranscription": "Lydtranskripsjon ble forespurt."
+          "audioTranscription": "Lydtranskripsjon ble forespurt. Avhengig av ytelsen på din Frigate server kan transkripsjonen ta noe tid å fullføre.",
+          "updatedAttributes": "Attributter ble oppdatert."
         },
         "error": {
           "regenerate": "Feil ved anrop til {{provider}} for en ny beskrivelse: {{errorMessage}}",
           "updatedLPRFailed": "Oppdatering av kjennemerke feilet: {{errorMessage}}",
-          "updatedSublabelFailed": "Feil ved oppdatering av under-merkelapp: {{errorMessage}}",
-          "audioTranscription": "Forespørsel om lydtranskripsjon feilet: {{errorMessage}}"
+          "updatedSublabelFailed": "Feil ved oppdatering av underetikett: {{errorMessage}}",
+          "audioTranscription": "Forespørsel om lydtranskripsjon feilet: {{errorMessage}}",
+          "updatedAttributesFailed": "Kunne ikke oppdatere attributter: {{errorMessage}}"
         }
       },
       "desc": "Detaljer for inspeksjonselement",
       "tips": {
         "mismatch_one": "{{count}} utilgjengelig objekt ble oppdaget og inkludert i dette inspeksjonselementet. Disse objektene kvalifiserte ikke som et varsel eller deteksjon, eller har allerede blitt ryddet opp/slettet.",
         "mismatch_other": "{{count}} utilgjengelige objekter ble oppdaget og inkludert i dette inspeksjonselementet. Disse objektene kvalifiserte ikke som et varsel eller deteksjon, eller har allerede blitt ryddet opp/slettet.",
-        "hasMissingObjects": "Juster konfigurasjonen hvis du vil at Frigate skal lagre sporede objekter for følgende merkelapper: <em>{{objects}}</em>"
+        "hasMissingObjects": "Juster konfigurasjonen hvis du vil at Frigate skal lagre sporede objekter for følgende etiketter: <em>{{objects}}</em>"
       }
     },
     "topScore": {
-      "info": "Den høyeste poengsummen er den høyeste medianverdi for det sporede objektet, så denne kan avvike fra poengsummen som vises på miniatyrbildet for søkeresultatet.",
-      "label": "Høyeste poengsum"
+      "info": "Toppscoren er den høyeste medianverdien for det sporede objektet, så denne kan avvike fra scoren som vises på miniatyrbildet i søkeresultatet.",
+      "label": "Toppscore"
     },
     "estimatedSpeed": "Estimert hastighet",
     "objects": "Objekter",
@@ -126,10 +128,10 @@
     },
     "regenerateFromThumbnails": "Regenerer fra miniatyrbilder",
     "tips": {
-      "descriptionSaved": "Beskrivelse lagret med suksess",
+      "descriptionSaved": "Beskrivelsen ble lagret",
       "saveDescriptionFailed": "Feil ved lagring av beskrivelse: {{errorMessage}}"
     },
-    "label": "Merkelapp",
+    "label": "Etikett",
     "editLPR": {
       "title": "Rediger kjennemerke",
       "descNoLabel": "Skriv inn et nytt kjennemerke for dette sporede objekt",
@@ -140,17 +142,25 @@
     "zones": "Soner",
     "timestamp": "Tidsstempel",
     "expandRegenerationMenu": "Utvid regenereringsmenyen",
-    "regenerateFromSnapshot": "Regenerer fra øyeblikksbilde",
+    "regenerateFromSnapshot": "Regenerer fra stillbilde",
     "editSubLabel": {
-      "title": "Rediger under-merkelapp",
-      "desc": "Angi en ny under-merkelapp for denne {{label}}",
-      "descNoLabel": "Angi en ny under-merkelapp for dette sporede objektet"
+      "title": "Rediger underetikett",
+      "desc": "Angi en ny underetikett for \"{{label}}\"",
+      "descNoLabel": "Angi en ny underetikett for dette sporede objektet"
     },
     "snapshotScore": {
-      "label": "Øyeblikksbilde poengsum"
+      "label": "Stillbilde score"
     },
     "score": {
-      "label": "Poengsum"
+      "label": "Score"
+    },
+    "editAttributes": {
+      "title": "Rediger attributter",
+      "desc": "Velg klassifiseringsattributter for denne {{label}}"
+    },
+    "attributes": "Klassifiseringsattributter",
+    "title": {
+      "label": "Tittel"
     }
   },
   "itemMenu": {
@@ -163,8 +173,8 @@
       "label": "Last ned video"
     },
     "downloadSnapshot": {
-      "label": "Last ned øyeblikksbilde",
-      "aria": "Last ned øyeblikksbilde"
+      "label": "Last ned stillbilde",
+      "aria": "Last ned stillbilde"
     },
     "viewObjectLifecycle": {
       "label": "Vis objektets livssyklus",
@@ -188,28 +198,46 @@
     "audioTranscription": {
       "label": "Transkriber",
       "aria": "Forespør lydtranskripsjon"
+    },
+    "showObjectDetails": {
+      "label": "Vis objektets sti"
+    },
+    "hideObjectDetails": {
+      "label": "Skjul objektets sti"
+    },
+    "viewTrackingDetails": {
+      "label": "Vis sporingsdetaljer",
+      "aria": "Vis sporingsdetaljene"
+    },
+    "downloadCleanSnapshot": {
+      "label": "Last ned rent stillbilde",
+      "aria": "Last ned stillbilde uten markeringer"
     }
   },
   "searchResult": {
     "deleteTrackedObject": {
       "toast": {
         "error": "Feil ved sletting av sporet objekt: {{errorMessage}}",
-        "success": "Sporet objekt ble slettet med suksess."
+        "success": "Sporet objekt ble slettet."
       }
     },
-    "tooltip": "Samsvarer {{type}} til {{confidence}}%"
+    "tooltip": "Samsvarer {{type}} til {{confidence}}%",
+    "previousTrackedObject": "Forrige sporede objekt",
+    "nextTrackedObject": "Neste sporede objekt"
   },
   "trackedObjectDetails": "Detaljer om sporet objekt",
   "type": {
     "details": "detaljer",
-    "snapshot": "øyeblikksbilde",
+    "snapshot": "stillbilde",
     "video": "video",
-    "object_lifecycle": "objektets livssyklus"
+    "object_lifecycle": "objektets livssyklus",
+    "thumbnail": "miniatyrbilde",
+    "tracking_details": "sporingsdetaljer"
   },
   "dialog": {
     "confirmDelete": {
       "title": "Bekreft sletting",
-      "desc": "Sletting av dette sporede objektet fjerner øyeblikksbildet, eventuelle lagrede vektorrepresentasjoner og alle tilknyttede livssykloppføringer for objektet. Opptak av dette sporede objektet i Historikk-visningen vil <em>IKKE</em> bli slettet.<br /><br />Er du sikker på at du vil fortsette?"
+      "desc": "Sletting av dette sporede objektet fjerner stillbildet, alle lagrede vektorrepresentasjoner og tilknyttede oppføringer for sporingsdetaljer. Opptak av dette objektet i Historikk-visningen vil <em>IKKE</em> bli slettet.<br /><br />Er du sikker på at du vil fortsette?"
     }
   },
   "noTrackedObjects": "Fant ingen sporede objekter",
@@ -222,5 +250,54 @@
   },
   "concerns": {
     "label": "Bekymringer"
+  },
+  "trackingDetails": {
+    "title": "Sporingsdetaljer",
+    "noImageFound": "Ingen bilder funnet for dette tidsstempelet.",
+    "createObjectMask": "Opprett objektmaske",
+    "adjustAnnotationSettings": "Juster annoteringsinnstillinger",
+    "scrollViewTips": "Klikk for å se de viktige øyeblikkene i dette objektets livssyklus.",
+    "autoTrackingTips": "Posisjonene til avgrensningsboksene vil være unøyaktige for kameraer med automatisk sporing.",
+    "count": "{{first}} av {{second}}",
+    "trackedPoint": "Sporet punkt",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} oppdaget",
+      "entered_zone": "{{label}} gikk inn i {{zones}}",
+      "active": "{{label}} ble aktiv",
+      "stationary": "{{label}} ble stasjonær",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} oppdaget for {{label}}",
+        "other": "{{label}} gjenkjent som {{attribute}}"
+      },
+      "gone": "{{label}} forsvant",
+      "heard": "{{label}} hørt",
+      "external": "{{label}} oppdaget",
+      "header": {
+        "zones": "Soner",
+        "ratio": "Sideforhold",
+        "area": "Område",
+        "score": "Score"
+      }
+    },
+    "annotationSettings": {
+      "title": "Annoteringsinnstillinger",
+      "showAllZones": {
+        "title": "Vis alle soner",
+        "desc": "Alltid vis soner på bilderammer der objekter har gått inn i en sone."
+      },
+      "offset": {
+        "label": "Annoteringsforskyvning",
+        "desc": "Disse dataene kommer fra kameraets deteksjonsstrøm, men legges over bilder fra opptaksstrømmen. Det er lite sannsynlig at de to strømmene er perfekt synkronisert. Som et resultat vil avgrensningsboksen og opptaket ikke stemme perfekt overens. Du kan bruke denne innstillingen til å forskyve annoteringene fremover eller bakover i tid for å tilpasse dem bedre til det innspilte opptaket.",
+        "millisecondsToOffset": "Antall millisekunder deteksjonsannoteringene skal forskyves med. <em>Standard: 0</em>",
+        "tips": "TIPS: Se for deg et hendelsesklipp med en person som går fra venstre mot høyre. Hvis avgrensningsboksen på tidslinjen for hendelsen konsekvent er til venstre for personen, bør verdien reduseres. På samme måte, hvis en person går fra venstre mot høyre og avgrensningsboksen konsekvent er foran personen, bør verdien økes.",
+        "toast": {
+          "success": "Annoteringsforskyvning for {{camera}} er lagret i konfigurasjonsfilen."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Forrige lysbilde",
+      "next": "Neste lysbilde"
+    }
   }
 }
diff --git a/web/public/locales/nb-NO/views/exports.json b/web/public/locales/nb-NO/views/exports.json
index 2c1fe59a7..4ced2fcdc 100644
--- a/web/public/locales/nb-NO/views/exports.json
+++ b/web/public/locales/nb-NO/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "Kunne ikke gi nytt navn til eksport: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Del eksport",
+    "downloadVideo": "Last ned video",
+    "editName": "Rediger navn",
+    "deleteExport": "Slett eksport"
   }
 }
diff --git a/web/public/locales/nb-NO/views/faceLibrary.json b/web/public/locales/nb-NO/views/faceLibrary.json
index 9b5ca0288..d2e0f6bd4 100644
--- a/web/public/locales/nb-NO/views/faceLibrary.json
+++ b/web/public/locales/nb-NO/views/faceLibrary.json
@@ -1,9 +1,9 @@
 {
   "selectItem": "Velg {{item}}",
   "description": {
-    "addFace": "Gå gjennom prosessen med å legge til en ny samling i ansiktsbiblioteket.",
+    "addFace": "Legg til en ny samling i ansiktsbiblioteket ved å laste opp ditt første bilde.",
     "placeholder": "Skriv inn et navn for denne samlingen",
-    "invalidName": "Ugyldig navn. Navn kan kun inneholde bokstaver, tall, mellomrom, apostrofer, understreker og bindestreker."
+    "invalidName": "Ugyldig navn. Navn kan kun inneholde bokstaver, tall, mellomrom, apostrof, understrek og bindestrek."
   },
   "details": {
     "person": "Person",
@@ -11,7 +11,7 @@
     "face": "Ansiktsdetaljer",
     "faceDesc": "Detaljer for sporet objekt som genererte dette ansiktet",
     "timestamp": "Tidsstempel",
-    "scoreInfo": "Under-merkelappens poengsum er basert på en vektet sum ut ifra hvor sikre gjenkjenningene av ansiktene er, så den kan avvike fra poengsummen som vises på øyeblikksbildet.",
+    "scoreInfo": "Score er et vektet gjennomsnitt av alle ansiktsscorer, vektet etter størrelsen på ansiktet i hvert bilde.",
     "subLabelScore": "Poengsum for under-merkelapp",
     "unknown": "Ukjent"
   },
@@ -20,12 +20,13 @@
     "new": "Opprett nytt ansikt",
     "title": "Opprett samling",
     "desc": "Opprett en ny samling",
-    "nextSteps": "For å bygge et sterkt grunnlag:<li>Bruk Tren-fanen for å velge og trene på bilder for hver oppdaget person.</li><li>Fokuser på bilder rett forfra for best resultat; unngå å trene bilder som fanger ansikter i vinkel.</li></ul>"
+    "nextSteps": "For å bygge et sterkt grunnlag:<li>Bruk Nylige gjenkjennelser-fanen for å velge og trene på bilder for hver oppdaget person.</li><li>Fokuser på bilder rett forfra for best resultat; unngå å trene bilder som fanger ansikter i vinkel.</li></ul>"
   },
   "train": {
-    "aria": "Velg tren",
-    "title": "Tren",
-    "empty": "Det er ingen nylige forsøk på ansiktsgjenkjenning"
+    "aria": "Velg nylige gjenkjennelser",
+    "title": "Nylige gjenkjennelser",
+    "empty": "Det er ingen nylige forsøk på ansiktsgjenkjenning",
+    "titleShort": "Nylige"
   },
   "selectFace": "Velg ansikt",
   "deleteFaceLibrary": {
@@ -38,7 +39,7 @@
       "deleteFaceFailed": "Kunne ikke slette: {{errorMessage}}",
       "uploadingImageFailed": "Kunne ikke laste opp bilde: {{errorMessage}}",
       "trainFailed": "Kunne ikke trene: {{errorMessage}}",
-      "updateFaceScoreFailed": "Kunne ikke oppdatere ansiktsskåring: {{errorMessage}}",
+      "updateFaceScoreFailed": "Kunne ikke oppdatere ansiktsscore: {{errorMessage}}",
       "addFaceLibraryFailed": "Kunne ikke angi ansiktsnavn: {{errorMessage}}",
       "deleteNameFailed": "Kunne ikke slette navn: {{errorMessage}}",
       "renameFaceFailed": "Kunne ikke gi nytt navn til ansikt: {{errorMessage}}"
@@ -49,7 +50,7 @@
       "deletedName_one": "{{count}} ansikt ble slettet.",
       "deletedName_other": "{{count}} ansikter ble slettet.",
       "trainedFace": "Ansiktet ble trent.",
-      "updatedFaceScore": "Ansiktsskåring ble oppdatert.",
+      "updatedFaceScore": "Oppdaterte ansiktsscore for {{name}} ({{score}}).",
       "uploadedImage": "Bildet ble lastet opp.",
       "addFaceLibrary": "{{name}} ble lagt til i ansiktsbiblioteket!",
       "renamedFace": "Nytt navn ble gitt til ansikt {{name}}"
@@ -57,7 +58,7 @@
   },
   "imageEntry": {
     "dropActive": "Slipp bildet her…",
-    "dropInstructions": "Dra og slipp et bilde her, eller klikk for å velge",
+    "dropInstructions": "Dra og slipp, lim inn et bilde her eller klikk for å velge",
     "maxSize": "Maks størrelse: {{size}}MB",
     "validation": {
       "selectImage": "Vennligst velg en bildefil."
diff --git a/web/public/locales/nb-NO/views/live.json b/web/public/locales/nb-NO/views/live.json
index 4c2711839..e23fa9baa 100644
--- a/web/public/locales/nb-NO/views/live.json
+++ b/web/public/locales/nb-NO/views/live.json
@@ -38,10 +38,10 @@
     },
     "focus": {
       "in": {
-        "label": "Fokuser inn på PTZ kamera"
+        "label": "Fokuser inn på PTZ-kameraet"
       },
       "out": {
-        "label": "Fokuser ut på PTZ kamera"
+        "label": "Fokuser ut på PTZ-kameraet"
       }
     }
   },
@@ -50,8 +50,8 @@
     "disable": "Deaktiver kamera"
   },
   "snapshots": {
-    "enable": "Aktiver øyeblikksbilder",
-    "disable": "Deaktiver øyeblikksbilder"
+    "enable": "Aktiver stillbilder",
+    "disable": "Deaktiver stillbilder"
   },
   "audioDetect": {
     "enable": "Aktiver lydregistrering",
@@ -62,7 +62,7 @@
     "disable": "Deaktiver automatisk sporing"
   },
   "manualRecording": {
-    "tips": "Start en manuell hendelse basert på kameraets innstillinger for opptaksbevaring.",
+    "tips": "Last ned et stillbilde, eller start en manuell hendelse basert på dette kameraets innstillinger for opptaksbevaring.",
     "playInBackground": {
       "label": "Spill av i bakgrunnen",
       "desc": "Aktiver dette alternativet for å fortsette strømming når spilleren er skjult."
@@ -71,15 +71,15 @@
       "label": "Vis statistikk",
       "desc": "Aktiver dette alternativet for å vise strømmestatistikk som et overlegg på kamerastrømmen."
     },
-    "started": "Startet manuelt opptak på forespørsel.",
-    "end": "Avslutt opptak på forespørsel",
-    "title": "Opptak på forespørsel",
+    "started": "Startet manuelt opptak.",
+    "end": "Avslutt manuelt opptak",
+    "title": "Manuelt opptak",
     "debugView": "Feilsøkingsvisning",
-    "start": "Start opptak på forespørsel",
-    "failedToStart": "Kunne ikke starte manuelt opptak på forespørsel.",
-    "recordDisabledTips": "Siden opptak er deaktivert eller begrenset i konfigurasjonen for dette kameraet, vil kun et øyeblikksbilde bli lagret.",
-    "ended": "Avsluttet manuelt opptak på forespørsel.",
-    "failedToEnd": "Kunne ikke avslutte manuelt opptak på forespørsel."
+    "start": "Start manuelt opptak",
+    "failedToStart": "Kunne ikke starte manuelt opptak.",
+    "recordDisabledTips": "Siden opptak er deaktivert eller begrenset i konfigurasjonen for dette kameraet, vil kun et stillbilde bli lagret.",
+    "ended": "Avsluttet manuelt opptak.",
+    "failedToEnd": "Kunne ikke avslutte manuelt opptak."
   },
   "audio": "Lyd",
   "suspend": {
@@ -162,7 +162,7 @@
     "cameraEnabled": "Kamera aktivert",
     "objectDetection": "Objektdeteksjon",
     "recording": "Opptak",
-    "snapshots": "Øyeblikksbilder",
+    "snapshots": "Stillbilder",
     "audioDetection": "Lydregistrering",
     "autotracking": "Automatisk sporing",
     "transcription": "Lydtranskripsjon"
@@ -170,5 +170,20 @@
   "transcription": {
     "enable": "Aktiver direkte lydtranskripsjon",
     "disable": "Deaktiver direkte lydtranskripsjon"
+  },
+  "snapshot": {
+    "noVideoSource": "Ingen videokilde tilgjengelig for stillbilde.",
+    "captureFailed": "Kunne ikke ta stillbilde.",
+    "downloadStarted": "Nedlasting av stillbilde startet.",
+    "takeSnapshot": "Last ned stillbilde"
+  },
+  "noCameras": {
+    "title": "Ingen kameraer konfigurert",
+    "description": "Kom i gang ved å koble et kamera til Frigate.",
+    "buttonText": "Legg til kamera",
+    "restricted": {
+      "title": "Ingen kameraer tilgjengelig",
+      "description": "Du har ikke tilgang for å se noen kameraer i denne gruppen."
+    }
   }
 }
diff --git a/web/public/locales/nb-NO/views/search.json b/web/public/locales/nb-NO/views/search.json
index baf25a900..f25bf709e 100644
--- a/web/public/locales/nb-NO/views/search.json
+++ b/web/public/locales/nb-NO/views/search.json
@@ -12,20 +12,21 @@
   "filter": {
     "label": {
       "cameras": "Kameraer",
-      "labels": "Merkelapper",
+      "labels": "Etiketter",
       "search_type": "Søketype",
       "after": "Etter",
-      "min_score": "Min. poengsum",
-      "max_score": "Maks. poengsum",
+      "min_score": "Min. score",
+      "max_score": "Maks. score",
       "min_speed": "Min. hastighet",
       "zones": "Soner",
-      "sub_labels": "Under-merkelapper",
+      "sub_labels": "Underetiketter",
       "time_range": "Tidsintervall",
       "before": "Før",
       "max_speed": "Maks. hastighet",
       "recognized_license_plate": "Gjenkjent kjennemerke",
       "has_clip": "Har videoklipp",
-      "has_snapshot": "Har øyeblikksbilde"
+      "has_snapshot": "Har stillbilde",
+      "attributes": "Attributter"
     },
     "searchType": {
       "thumbnail": "Miniatyrbilde",
@@ -36,8 +37,8 @@
         "minSpeedMustBeLessOrEqualMaxSpeed": "Minimum hastighet 'min_speed' må være mindre enn eller lik maksimum hastighet 'max_speed'.",
         "beforeDateBeLaterAfter": "Før-datoen 'before' må være senere enn etter-datoen 'after'.",
         "afterDatebeEarlierBefore": "Etter-datoen 'after' må være tidligere enn før-datoen 'before'.",
-        "minScoreMustBeLessOrEqualMaxScore": "Minimum poengsum 'min_score' må være mindre enn eller lik maksimum poengsum 'max_score'.",
-        "maxScoreMustBeGreaterOrEqualMinScore": "Maksimum poengsum 'max_score' må være større enn eller lik minimum poengsum 'min_score'.",
+        "minScoreMustBeLessOrEqualMaxScore": "Minimum score 'min_score' må være mindre enn eller lik maksimum score 'max_score'.",
+        "maxScoreMustBeGreaterOrEqualMinScore": "Maksimum score 'max_score' må være større enn eller lik minimum score 'min_score'.",
         "maxSpeedMustBeGreaterOrEqualMinSpeed": "Maksimum hastighet 'max_speed' må være større enn eller lik minimum hastighet 'min_speed'."
       }
     },
diff --git a/web/public/locales/nb-NO/views/settings.json b/web/public/locales/nb-NO/views/settings.json
index ba8d4c326..0ea43438d 100644
--- a/web/public/locales/nb-NO/views/settings.json
+++ b/web/public/locales/nb-NO/views/settings.json
@@ -6,11 +6,13 @@
     "masksAndZones": "Maske- og soneeditor - Frigate",
     "motionTuner": "Bevegelsesjustering - Frigate",
     "object": "Test og feilsøk - Frigate",
-    "general": "Generelle innstillinger - Frigate",
+    "general": "Innstillinger for brukergrensesnitt - Frigate",
     "classification": "Klassifiseringsinnstillinger - Frigate",
     "frigatePlus": "Frigate+ innstillinger - Frigate",
-    "notifications": "Meldingsvarsler Innstillinger - Frigate",
-    "enrichments": "Utvidelser Innstillinger - Frigate"
+    "notifications": "Innstillinger for meldingsvarsler - Frigate",
+    "enrichments": "Innstillinger for utvidelser - Frigate",
+    "cameraManagement": "Administrer kameraer - Frigate",
+    "cameraReview": "Innstillinger for kamerainspeksjon - Frigate"
   },
   "menu": {
     "classification": "Klassifisering",
@@ -23,7 +25,10 @@
     "ui": "Brukergrensesnitt",
     "notifications": "Meldingsvarsler",
     "enrichments": "Utvidelser",
-    "triggers": "Utløsere"
+    "triggers": "Utløsere",
+    "cameraManagement": "Administrasjon",
+    "cameraReview": "Inspeksjon",
+    "roles": "Roller"
   },
   "dialog": {
     "unsavedChanges": {
@@ -45,6 +50,14 @@
       "automaticLiveView": {
         "label": "Automatisk direktevisning",
         "desc": "Bytt automatisk til et kameras direktevisning når aktivitet oppdages. Deaktivering av dette valget gjør at statiske kamerabilder i Direkte-dashbord kun oppdateres én gang i minuttet."
+      },
+      "displayCameraNames": {
+        "label": "Vis alltid kameranavn",
+        "desc": "Vis alltid kameranavnene i en merkelapp i dashbordet for direktevisning med flere kameraer."
+      },
+      "liveFallbackTimeout": {
+        "label": "Tidsavbrudd for reserveløsning for direkteavspiller",
+        "desc": "Når et kameras direktestrøm med høy kvalitet er utilgjengelig, bytt til lav båndbreddemodus etter dette antallet sekunder. Standard: 3."
       }
     },
     "storedLayouts": {
@@ -78,7 +91,7 @@
         "clearStreamingSettingsFailed": "Kunne ikke fjerne strømmingsinnstillinger: {{errorMessage}}"
       }
     },
-    "title": "Generelle innstillinger",
+    "title": "Innstillinger for brukergrensesnitt",
     "cameraGroupStreaming": {
       "title": "Strømmingsinnstillinger for kameragrupper",
       "desc": "Strømmingsinnstillingene lagres lokalt i nettleseren.",
@@ -238,7 +251,8 @@
           "alreadyExists": "En sone med dette navnet finnes allerede for dette kameraet.",
           "mustBeAtLeastTwoCharacters": "Sonenavnet må være minst 2 tegn langt.",
           "mustNotContainPeriod": "Sonenavnet kan ikke inneholde punktum.",
-          "hasIllegalCharacter": "Sonenavnet inneholder ugyldige tegn."
+          "hasIllegalCharacter": "Sonenavnet inneholder ugyldige tegn.",
+          "mustHaveAtLeastOneLetter": "Sonenavnet må inneholde minst én bokstav."
         }
       },
       "distance": {
@@ -300,7 +314,7 @@
       "name": {
         "title": "Navn",
         "inputPlaceHolder": "Skriv inn et navn…",
-        "tips": "Navnet må være minst 2 tegn langt og må ikke være det samme som et kamera- eller sone-navn."
+        "tips": "Navnet må være minst 2 tegn langt, inneholde minst én bokstav, og må ikke være det samme som et kamera- eller sone-navn for dette kameraet."
       },
       "loiteringTime": {
         "title": "Oppholdstid",
@@ -331,7 +345,7 @@
         }
       },
       "toast": {
-        "success": "Sone ({{zoneName}}) er lagret. Start Frigate på nytt for å bruke endringer."
+        "success": "Sone ({{zoneName}}) er lagret."
       }
     },
     "motionMasks": {
@@ -357,8 +371,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} er lagret. Start Frigate på nytt for å aktivere endringene.",
-          "noName": "Bevegelsesmasken er lagret. Start Frigate på nytt for å aktivere endringene."
+          "title": "{{polygonName}} er lagret.",
+          "noName": "Bevegelsesmasken er lagret."
         }
       }
     },
@@ -382,8 +396,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} er lagret. Start Frigate på nytt for å aktivere endringene.",
-          "noName": "Objektmasken er lagret. Start Frigate på nytt for å aktivere endringene."
+          "title": "{{polygonName}} er lagret.",
+          "noName": "Objektmasken er lagret."
         }
       }
     },
@@ -419,7 +433,7 @@
     "objectList": "Objektliste",
     "noObjects": "Ingen objekter",
     "boundingBoxes": {
-      "title": "Omsluttende bokser",
+      "title": "Avgrensningsbokser",
       "desc": "Vis omsluttende bokser rundt sporede objekter",
       "colors": {
         "label": "Farge på omsluttende bokser for objekt",
@@ -446,8 +460,8 @@
     },
     "objectShapeFilterDrawing": {
       "document": "Se dokumentasjonen ",
-      "score": "Poengsum",
-      "ratio": "Forhold",
+      "score": "Score",
+      "ratio": "Sideforhold",
       "area": "Areal",
       "title": "Tegning av objektformfilter",
       "desc": "Tegn et rektangel på bildet for å vise areal- og størrelsesforhold",
@@ -464,7 +478,7 @@
     "audio": {
       "title": "Lyd",
       "noAudioDetections": "Ingen lyddeteksjoner",
-      "score": "poengsum",
+      "score": "score",
       "currentRMS": "Nåværende RMS",
       "currentdbFS": "Nåværende dbFS"
     },
@@ -481,7 +495,7 @@
       "desc": "Administrer brukerprofiler for denne Frigate-instansen."
     },
     "addUser": "Legg til bruker",
-    "updatePassword": "Oppdater passord",
+    "updatePassword": "Nullstill passord",
     "toast": {
       "success": {
         "deleteUser": "Bruker {{user}} ble slettet",
@@ -518,7 +532,16 @@
             "strong": "Sterkt"
           },
           "match": "Passordene samsvarer",
-          "notMatch": "Passordene samsvarer ikke"
+          "notMatch": "Passordene samsvarer ikke",
+          "show": "Vis passord",
+          "hide": "Skjul passord",
+          "requirements": {
+            "title": "Passordkrav:",
+            "length": "Minst 8 tegn",
+            "uppercase": "Minst en stor bokstav",
+            "digit": "Minst ett tall",
+            "special": "Minst ett spesialtegn (!@#$%^&*(),.?\":{}|<>)"
+          }
         },
         "newPassword": {
           "title": "Nytt passord",
@@ -528,7 +551,11 @@
           }
         },
         "usernameIsRequired": "Brukernavn er påkrevd",
-        "passwordIsRequired": "Passord er påkrevd"
+        "passwordIsRequired": "Passord er påkrevd",
+        "currentPassword": {
+          "title": "Nåværende passord",
+          "placeholder": "Skriv inn nåværende passord"
+        }
       },
       "changeRole": {
         "desc": "Oppdater tillatelser for <strong>{{username}}</strong>",
@@ -559,7 +586,12 @@
         "setPassword": "Angi passord",
         "desc": "Opprett et sterkt passord for å sikre denne kontoen.",
         "cannotBeEmpty": "Passordet kan ikke være tomt",
-        "doNotMatch": "Passordene samsvarer ikke"
+        "doNotMatch": "Passordene samsvarer ikke",
+        "currentPasswordRequired": "Nåværende passord er påkrevd",
+        "incorrectCurrentPassword": "Nåværende passord er feil",
+        "passwordVerificationFailed": "Kunne ikke verifisere passord",
+        "multiDeviceWarning": "Andre enheter du er logget inn på vil kreve ny innlogging innen {{refresh_time}}.",
+        "multiDeviceAdmin": "Du kan også tvinge alle brukere til å logge inn på nytt umiddelbart ved å rotere JWT-hemmeligheten din."
       }
     },
     "table": {
@@ -567,7 +599,7 @@
       "actions": "Handlinger",
       "role": "Rolle",
       "changeRole": "Endre brukerrolle",
-      "password": "Passord",
+      "password": "Nullstill passord",
       "deleteUser": "Slett bruker",
       "noUsers": "Ingen brukere funnet."
     }
@@ -655,15 +687,15 @@
     },
     "title": "Frigate+ Innstillinger",
     "snapshotConfig": {
-      "title": "Konfigurasjon av øyeblikksbilde",
-      "desc": "Innsending til Frigate+ krever at både øyeblikksbilder og <code>clean_copy</code>-øyeblikksbilder er aktivert i konfigurasjonen din.",
+      "title": "Konfigurasjon av stillbilde",
+      "desc": "Innsending til Frigate+ krever at både stillbilder og <code>clean_copy</code>-stillbilder er aktivert i konfigurasjonen din.",
       "documentation": "Se dokumentasjonen",
       "table": {
         "camera": "Kamera",
-        "snapshots": "Øyeblikksbilder",
-        "cleanCopySnapshots": "<code>clean_copy</code>-øyeblikksbilder"
+        "snapshots": "Stillbilder",
+        "cleanCopySnapshots": "<code>clean_copy</code>-stillbilder"
       },
-      "cleanCopyWarning": "Noen kameraer har øyeblikksbilder aktivert, men ren kopi er deaktivert. Du må aktivere <code>clean_copy</code> i øyeblikksbilde-konfigurasjonen for å kunne sende bilder fra disse kameraene til Frigate+."
+      "cleanCopyWarning": "Noen kameraer har stillbilder aktivert, men ren kopi er deaktivert. Du må aktivere <code>clean_copy</code> i stillbilde-konfigurasjonen for å kunne sende bilder fra disse kameraene til Frigate+."
     },
     "toast": {
       "success": "Frigate+ innstillingene er lagret. Start Frigate på nytt for å aktivere endringene.",
@@ -675,12 +707,12 @@
   "enrichments": {
     "title": "Innstillinger for utvidelser",
     "licensePlateRecognition": {
-      "desc": "Frigate kan gjenkjenne kjennemerker på kjøretøy og automatisk legge til de oppdagede tegnene i feltet \"recognized_license_plate\", eller et kjent navn som en under-merkelapp på objekter av typen bil. Et vanlig brukstilfelle kan være å lese kjennemerker på biler som kjører inn i en innkjørsel eller biler som passerer på en gate.",
+      "desc": "Frigate kan gjenkjenne kjennemerker på kjøretøy og automatisk legge til de oppdagede tegnene i feltet \"recognized_license_plate\", eller et kjent navn som en underetikett på objekter av typen bil. Et vanlig brukstilfelle kan være å lese kjennemerker på biler som kjører inn i en innkjørsel eller biler som passerer på en gate.",
       "title": "Kjennemerke gjenkjenning",
       "readTheDocumentation": "Se dokumentasjonen"
     },
     "birdClassification": {
-      "desc": "Fugleklassifisering identifiserer kjente fugler ved hjelp av en kvantisert TensorFlow-modell. Når en fugl gjenkjennes, vil det vanlige navnet legges til som en under-merkelapp. Denne informasjonen vises i brukergrensesnittet, filtre, samt i meldingsvarsler.",
+      "desc": "Fugleklassifisering identifiserer kjente fugler ved hjelp av en kvantisert TensorFlow-modell. Når en fugl gjenkjennes, vil det vanlige navnet legges til som en underetikett. Denne informasjonen vises i brukergrensesnittet, filtre, samt i meldingsvarsler.",
       "title": "Klassifisering av fugler"
     },
     "semanticSearch": {
@@ -724,7 +756,7 @@
         }
       },
       "title": "Ansiktsgjenkjenning",
-      "desc": "Ansiktsgjenkjenning gjør det mulig å tildele navn til personer, og når ansiktet deres gjenkjennes, vil Frigate tildele personens navn som en under-merkelapp. Denne informasjonen vises i brukergrensesnittet, filtre, samt i meldingsvarsler.",
+      "desc": "Ansiktsgjenkjenning gjør det mulig å tildele navn til personer, og når ansiktet deres gjenkjennes, vil Frigate tildele personens navn som en underetikett. Denne informasjonen vises i brukergrensesnittet, filtre, samt i meldingsvarsler.",
       "readTheDocumentation": "Se dokumentasjonen"
     },
     "unsavedChanges": "Ulagrede endringer i innstillinger for utvidelser",
@@ -737,10 +769,10 @@
   "triggers": {
     "documentTitle": "Utløsere",
     "management": {
-      "title": "Utløserhåndtering",
+      "title": "Utløser",
       "desc": "Administrer utløsere for {{camera}}. Bruk miniatyrbilde-type for å utløse på lignende miniatyrbilder som det sporede objektet du har valgt, og beskrivelsestype for å utløse på lignende beskrivelser basert på teksten du spesifiserer."
     },
-    "addTrigger": "Legg til utløs­er",
+    "addTrigger": "Legg til utløser",
     "table": {
       "name": "Navn",
       "type": "Type",
@@ -758,7 +790,9 @@
     },
     "actions": {
       "alert": "Marker som varsel",
-      "notification": "Send meldingsvarsel"
+      "notification": "Send meldingsvarsel",
+      "sub_label": "Legg til underetikett",
+      "attribute": "Legg til attributt"
     },
     "dialog": {
       "createTrigger": {
@@ -776,25 +810,28 @@
       "form": {
         "name": {
           "title": "Navn",
-          "placeholder": "Skriv inn navn på utløser",
+          "placeholder": "Navngi denne utløseren",
           "error": {
-            "minLength": "Navnet må være minst 2 tegn langt.",
-            "invalidCharacters": "Navnet kan bare inneholde bokstaver, tall, understreker og bindestreker.",
+            "minLength": "Feltet må være minst 2 tegn langt.",
+            "invalidCharacters": "Feltet kan bare inneholde bokstaver, tall, understreker og bindestreker.",
             "alreadyExists": "En utløser med dette navnet finnes allerede for dette kameraet."
-          }
+          },
+          "description": "Skriv inn et unikt navn eller beskrivelse for å identifisere denne utløseren"
         },
         "enabled": {
           "description": "Aktiver eller deaktiver denne utløseren"
         },
         "type": {
           "title": "Type",
-          "placeholder": "Velg utløsertype"
+          "placeholder": "Velg utløsertype",
+          "description": "Utløs når en lignende sporet objektbeskrivelse blir detektert",
+          "thumbnail": "Utløs når et lignende sporet miniatyrbilde blir detektert"
         },
         "content": {
           "title": "Innhold",
-          "imagePlaceholder": "Velg et bilde",
+          "imagePlaceholder": "Velg et miniatyrbilde",
           "textPlaceholder": "Skriv inn tekstinnhold",
-          "imageDesc": "Velg et bilde for å utløse denne handlingen når et lignende bilde oppdages.",
+          "imageDesc": "Kun de siste 100 miniatyrbildene vises. Hvis du ikke finner ønsket miniatyrbilde, kan du se gjennom tidligere objekter i Utforsk og opprette en utløser fra menyen der.",
           "textDesc": "Skriv inn tekst for å utløse denne handlingen når en lignende beskrivelse av et sporet objekt oppdages.",
           "error": {
             "required": "Innhold er påkrevd."
@@ -805,14 +842,20 @@
           "error": {
             "min": "Terskelverdien må minst være 0",
             "max": "Terskelverdien kan maksimum være 1"
-          }
+          },
+          "desc": "Angi likhetsgrensen for denne utløseren. En høyere grense betyr at et høyere samsvar kreves for å utløse hendelsen."
         },
         "actions": {
           "title": "Handlinger",
-          "desc": "Som standard sender Frigate en MQTT-melding for alle utløsere. Velg en ekstra handling som skal utføres når denne utløseren aktiveres.",
+          "desc": "Som standard sender Frigate en MQTT-melding for alle utløsere. Underetiketter legger til navnet på utløseren i objektetiketten. Attributter er søkbare metadata som lagres separat i objektets sporingsmetadata.",
           "error": {
             "min": "Minst én handling må velges."
           }
+        },
+        "friendly_name": {
+          "description": "Et valgfritt brukervennlig navn eller beskrivende tekst for denne utløseren.",
+          "title": "Brukervennlig navn",
+          "placeholder": "Navngi eller beskriv denne utløseren"
         }
       }
     },
@@ -827,6 +870,27 @@
         "updateTriggerFailed": "Kunne ikke oppdatere utløser: {{errorMessage}}",
         "deleteTriggerFailed": "Kunne ikke slette utløser: {{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "title": "Semantisk søk er deaktivert",
+      "desc": "Semantisk søk må aktiveres for å bruke utløsere."
+    },
+    "wizard": {
+      "title": "Opprett utløser",
+      "step1": {
+        "description": "Konfigurer grunnleggende innstillinger for utløseren."
+      },
+      "step2": {
+        "description": "Sett opp innholdet som skal utløse denne handlingen."
+      },
+      "step3": {
+        "description": "Konfigurer terskelen og handlingene for denne utløseren."
+      },
+      "steps": {
+        "nameAndType": "Navn og type",
+        "configureData": "Konfigurer data",
+        "thresholdAndActions": "Terskel og handlinger"
+      }
     }
   },
   "roles": {
@@ -848,7 +912,8 @@
         "createRole": "Rollen {{role}} ble opprettet",
         "updateCameras": "Kameraer oppdatert for rollen {{role}}",
         "deleteRole": "Rollen {{role}} ble slettet",
-        "userRolesUpdated": "{{count}} bruker(e) som var tildelt denne rollen er oppdatert til \"visningsbruker\", som har tilgang til alle kameraer."
+        "userRolesUpdated_one": "{{count}} bruker tildelt denne rollen er oppdatert til \"visningsbruker\", som har tilgang til alle kameraer.",
+        "userRolesUpdated_other": "{{count}} brukere tildelt denne rollen er oppdatert til \"visningsbruker\", som har tilgang til alle kameraer."
       },
       "error": {
         "createRoleFailed": "Kunne ikke opprette rolle: {{errorMessage}}",
@@ -888,5 +953,358 @@
         }
       }
     }
+  },
+  "cameraWizard": {
+    "title": "Legg til kamera",
+    "description": "Følg trinnene nedenfor for å legge til et nytt kamera i din Frigate-installasjon.",
+    "steps": {
+      "nameAndConnection": "Navn og tilkobling",
+      "streamConfiguration": "Strømkonfigurasjon",
+      "validationAndTesting": "Validering og testing",
+      "probeOrSnapshot": "Sjekk eller stillbilde"
+    },
+    "save": {
+      "success": "Lagret nytt kamera {{cameraName}}.",
+      "failure": "Feil ved lagring av {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Oppløsning",
+      "video": "Video",
+      "audio": "Lyd",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Vennligst oppgi en gyldig strøm-URL",
+      "testFailed": "Strømmetest feilet: {{error}}"
+    },
+    "step1": {
+      "description": "Skriv inn kameradetaljene dine og velg å sjekke kameraet eller manuelt velg produsent.",
+      "cameraName": "Kameranavn",
+      "cameraNamePlaceholder": "f.eks. front_dor eller Hageoversikt",
+      "host": "Vert/IP-adresse",
+      "port": "Port",
+      "username": "Brukernavn",
+      "usernamePlaceholder": "Valgfritt",
+      "password": "Passord",
+      "passwordPlaceholder": "Valgfritt",
+      "selectTransport": "Velg transportprotokoll",
+      "cameraBrand": "Kameramerke",
+      "selectBrand": "Velg kameramerke for URL-mal",
+      "customUrl": "Egendefinert strømme-URL",
+      "brandInformation": "Merkevare-informasjon",
+      "brandUrlFormat": "For kameraer med RTSP URL-format som: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://brukernavn:passord@vert:port/sti",
+      "testConnection": "Test tilkobling",
+      "testSuccess": "Tilkoblingstesten var vellykket!",
+      "testFailed": "Tilkoblingstesten feilet. Vennligst sjekk inntastingen din og prøv igjen.",
+      "streamDetails": "Strømdetaljer",
+      "warnings": {
+        "noSnapshot": "Kunne ikke hente et øyeblikksbilde fra den konfigurerte strømmen."
+      },
+      "errors": {
+        "brandOrCustomUrlRequired": "Enten velg et kameramerke med vert/IP eller velg 'Annet' med en egendefinert URL",
+        "nameRequired": "Kameranavn er påkrevd",
+        "nameLength": "Kameranavnet må være 64 tegn eller mindre",
+        "invalidCharacters": "Kameranavnet inneholder ugyldige tegn",
+        "nameExists": "Kameranavnet finnes allerede",
+        "brands": {
+          "reolink-rtsp": "Reolink RTSP anbefales ikke. Aktiver HTTP i kameraets fastvare-innstillinger og start kameraveiviseren på nytt."
+        },
+        "customUrlRtspRequired": "Egendefinerte URL-er må begynne med \"rtsp://\". Manuell konfigurering kreves for kamera­strømmer som ikke bruker RTSP."
+      },
+      "docs": {
+        "reolink": "https://docs.frigate.video/configuration/camera_specific.html#reolink-cameras"
+      },
+      "testing": {
+        "probingMetadata": "Henter kamerametadata…",
+        "fetchingSnapshot": "Henter øyeblikksbilde for kamera..."
+      },
+      "connectionSettings": "Tilkoblingsinnstillinger",
+      "detectionMethod": "Metode for strømdeteksjon",
+      "onvifPort": "ONVIF-port",
+      "probeMode": "Sjekk kamera",
+      "manualMode": "Manuelt valg",
+      "detectionMethodDescription": "Sjekk kameraet med ONVIF (hvis støttet) for å finne kameraets strømme-URL-er, eller velg kameramerke manuelt for å bruke forhåndsdefinerte URL-er. For å skrive inn en egendefinert RTSP URL, velg manuell metode og velg \"Annet\".",
+      "onvifPortDescription": "For kameraer som støtter ONVIF, er dette vanligvis 80 eller 8080.",
+      "useDigestAuth": "Bruk digest-autentisering",
+      "useDigestAuthDescription": "Bruk HTTP digest-autentisering for ONVIF. Noen kameraer kan kreve et dedikert ONVIF brukernavn/passord i stedet for standard administrator-bruker."
+    },
+    "step2": {
+      "description": "Sjekk kameraet for tilgjengelige strømmer eller konfigurer manuelle innstillinger basert på valgt deteksjonsmetode.",
+      "streamsTitle": "Kamerastrømmer",
+      "addStream": "Legg til strøm",
+      "addAnotherStream": "Legg til en annen strøm",
+      "streamTitle": "Strøm {{number}}",
+      "streamUrl": "Strøm-URL",
+      "streamUrlPlaceholder": "rtsp://brukernavn:passord@vert:port/sti",
+      "url": "URL",
+      "resolution": "Oppløsning",
+      "selectResolution": "Velg oppløsning",
+      "quality": "Kvalitet",
+      "selectQuality": "Velg kvalitet",
+      "roles": "Roller",
+      "roleLabels": {
+        "detect": "Objektdeteksjon",
+        "record": "Opptak",
+        "audio": "Lyd"
+      },
+      "testStream": "Test tilkobling",
+      "testSuccess": "Tilkoblingstest vellykket!",
+      "testFailed": "Tilkoblingstest feilet. Vennligst sjekk inndataene dine og prøv igjen.",
+      "testFailedTitle": "Test feilet",
+      "connected": "Tilkoblet",
+      "notConnected": "Ikke tilkoblet",
+      "featuresTitle": "Funksjoner",
+      "go2rtc": "Reduser tilkoblinger til kameraet",
+      "detectRoleWarning": "Minst én strøm må ha rollen «deteksjon» for å fortsette.",
+      "rolesPopover": {
+        "title": "Strømroller",
+        "detect": "Hovedstrøm for objektdeteksjon.",
+        "record": "Lagrer segmenter av videostrømmen basert på konfigurasjonsinnstillinger.",
+        "audio": "Strøm for lydbasert deteksjon."
+      },
+      "featuresPopover": {
+        "title": "Strømfunksjoner",
+        "description": "Bruk go2rtc-restrømming for å redusere antall tilkoblinger til kameraet ditt."
+      },
+      "streamDetails": "Strømdetaljer",
+      "probing": "Test kamera...",
+      "retry": "Prøv på nytt",
+      "testing": {
+        "probingMetadata": "Sjekker metadata for kamera...",
+        "fetchingSnapshot": "Henter stillbilde fra kamera..."
+      },
+      "probeFailed": "Kunne ikke å sjekke kamera: {{error}}",
+      "probingDevice": "Tester enhet...",
+      "probeSuccessful": "Sjekk vellykket",
+      "probeError": "Sjekk feilet",
+      "probeNoSuccess": "Sjekk mislyktes",
+      "deviceInfo": "Enhetsinformasjon",
+      "manufacturer": "Produsent",
+      "model": "Modell",
+      "firmware": "Fastvare",
+      "profiles": "Profiler",
+      "ptzSupport": "PTZ-støtte",
+      "autotrackingSupport": "Autosporing-støtte",
+      "presets": "Forhåndsinnstillinger",
+      "rtspCandidates": "RTSP-kandidater",
+      "rtspCandidatesDescription": "Følgende RTSP URL-er ble funnet ved sjekk av kameraet. Test tilkoblingen for å se strømmetadata.",
+      "noRtspCandidates": "Ingen RTSP URL-er ble funnet fra kameraet. Det kan hende at påloggingsinformasjonen din er feil, eller at kameraet ikke støtter ONVIF eller metoden som brukes for å hente RTSP URL-er. Gå tilbake og skriv inn RTSP URL-en manuelt.",
+      "candidateStreamTitle": "Kandidat {{number}}",
+      "useCandidate": "Bruk",
+      "uriCopy": "Kopier",
+      "uriCopied": "URI kopiert til utklippstavlen",
+      "testConnection": "Test tilkobling",
+      "toggleUriView": "Klikk for å vise/skjule full URI",
+      "errors": {
+        "hostRequired": "Vert/IP-adresse er påkrevd"
+      }
+    },
+    "step3": {
+      "description": "Konfigurer strømroller og legg til flere strømmer for kameraet ditt.",
+      "validationTitle": "Strømvalidering",
+      "connectAllStreams": "Koble til alle strømmer",
+      "reconnectionSuccess": "Gjenoppkobling vellykket.",
+      "reconnectionPartial": "Noen strømmer kunne ikke gjenoppkobles.",
+      "streamUnavailable": "Forhåndsvisning av strøm utilgjengelig",
+      "reload": "Last inn på nytt",
+      "connecting": "Kobler til...",
+      "streamTitle": "Strøm {{number}}",
+      "valid": "Gyldig",
+      "failed": "Feilet",
+      "notTested": "Ikke testet",
+      "connectStream": "Koble til",
+      "connectingStream": "Kobler til",
+      "disconnectStream": "Koble fra",
+      "estimatedBandwidth": "Estimert båndbredde",
+      "roles": "Roller",
+      "none": "Ingen",
+      "error": "Feil",
+      "streamValidated": "Strøm {{number}} ble validert",
+      "streamValidationFailed": "Validering av strøm {{number}} feilet",
+      "saveAndApply": "Lagre nytt kamera",
+      "saveError": "Ugyldig konfigurasjon. Vennligst sjekk innstillingene dine.",
+      "issues": {
+        "title": "Strømvalidering",
+        "videoCodecGood": "Video-kodek er {{codec}}.",
+        "audioCodecGood": "Lyd-kodek er {{codec}}.",
+        "noAudioWarning": "Ingen lyd oppdaget for denne strømmen, opptak vil ikke ha lyd.",
+        "audioCodecRecordError": "AAC lyd-kodek er påkrevd for å støtte lyd i opptak.",
+        "audioCodecRequired": "En lydstrøm er påkrevd for å støtte lyddeteksjon.",
+        "restreamingWarning": "Å redusere tilkoblinger til kameraet for opptaksstrømmen kan øke CPU-bruken noe.",
+        "dahua": {
+          "substreamWarning": "Substrøm 1 er låst til lav oppløsning. Mange Dahua / Amcrest / EmpireTech-kameraer støtter flere substrømmer som må aktiveres i kameraets innstillinger. Det anbefales å sjekke og benytte disse strømmene hvis de er tilgjengelige."
+        },
+        "hikvision": {
+          "substreamWarning": "Substrøm 1 er låst til lav oppløsning. Mange Hikvision-kameraer støtter flere substrømmer som må aktiveres i kameraets innstillinger. Det anbefales å sjekke og benytte disse strømmene hvis de er tilgjengelige."
+        },
+        "resolutionHigh": "En oppløsning på {{resolution}} kan føre til økt ressursbruk.",
+        "resolutionLow": "En oppløsning på {{resolution}} kan være for lav for pålitelig deteksjon av små objekter."
+      },
+      "ffmpegModuleDescription": "Hvis strømmen ikke lastes inn etter flere forsøk, kan du prøve å aktivere dette. Når det er aktivert, vil Frigate bruke ffmpeg-modulen sammen med go2rtc. Dette kan gi bedre kompatibilitet med enkelte kamerastrømmer.",
+      "ffmpegModule": "Bruk kompatibilitetsmodus for strøm",
+      "streamsTitle": "Kamerastrømmer",
+      "addStream": "Legg til strøm",
+      "addAnotherStream": "Legg til en annen strøm",
+      "streamUrl": "Strøm-URL",
+      "streamUrlPlaceholder": "rtsp://brukernavn:passord@vert:port/sti",
+      "selectStream": "Velg en strøm",
+      "searchCandidates": "Søk blant kandidater...",
+      "noStreamFound": "Ingen strøm funnet",
+      "url": "URL",
+      "resolution": "Oppløsning",
+      "selectResolution": "Velg oppløsning",
+      "quality": "Kvalitet",
+      "selectQuality": "Velg kvalitet",
+      "roleLabels": {
+        "detect": "Objektdeteksjon",
+        "record": "Opptak",
+        "audio": "Lyd"
+      },
+      "testStream": "Test tilkobling",
+      "testSuccess": "Strømmetest vellykket!",
+      "testFailed": "Strømmetest feilet",
+      "testFailedTitle": "Test feilet",
+      "connected": "Tilkoblet",
+      "notConnected": "Ikke tilkoblet",
+      "featuresTitle": "Funksjoner",
+      "go2rtc": "Reduser antall tilkoblinger til kamera",
+      "detectRoleWarning": "Minst én strøm må ha \"deteksjon\"-rollen for å fortsette.",
+      "rolesPopover": {
+        "title": "Strømroller",
+        "detect": "Hovedstrøm for objektdeteksjon.",
+        "record": "Lagrer segmenter av videostrømmen basert på konfigurasjonsinnstillinger.",
+        "audio": "Strøm for lydbasert deteksjon."
+      },
+      "featuresPopover": {
+        "title": "Strømfunksjoner",
+        "description": "Bruk go2rtc-restrømming for å redusere antall tilkoblinger til kameraet."
+      }
+    },
+    "step4": {
+      "description": "Endelig validering og analyse før du lagrer det nye kameraet. Koble til hver strøm før du lagrer.",
+      "validationTitle": "Strømvalidering",
+      "connectAllStreams": "Koble til alle strømmer",
+      "reconnectionSuccess": "Tilkobling vellykket.",
+      "reconnectionPartial": "Noen strømmer kunne ikke koble til på nytt.",
+      "streamUnavailable": "Forhåndsvisning av strøm utilgjengelig",
+      "reload": "Last på nytt",
+      "connecting": "Kobler til...",
+      "streamTitle": "Strøm {{number}}",
+      "valid": "Gyldig",
+      "failed": "Feilet",
+      "notTested": "Ikke testet",
+      "connectStream": "Koble til",
+      "connectingStream": "Kobler til",
+      "disconnectStream": "Koble fra",
+      "estimatedBandwidth": "Estimert båndbredde",
+      "roles": "Roller",
+      "ffmpegModule": "Bruk kompatibilitetsmodus for strøm",
+      "ffmpegModuleDescription": "Hvis strømmen ikke lastes etter flere forsøk, prøv å aktivere dette. Når aktivert, vil Frigate bruke ffmpeg-modulen med go2rtc. Dette kan gi bedre kompatibilitet med noen kamerastrømmer.",
+      "none": "Ingen",
+      "error": "Feil",
+      "streamValidated": "Strøm {{number}} validert",
+      "streamValidationFailed": "Validering av strøm {{number}} feilet",
+      "saveAndApply": "Lagre nytt kamera",
+      "saveError": "Ugyldig konfigurasjon. Vennligst sjekk innstillingene dine.",
+      "issues": {
+        "title": "Strømvalidering",
+        "videoCodecGood": "Videokodek er {{codec}}.",
+        "audioCodecGood": "Lydkodek er {{codec}}.",
+        "resolutionHigh": "En oppløsning på {{resolution}} kan føre til økt ressursbruk.",
+        "resolutionLow": "En oppløsning på {{resolution}} kan være for lav for pålitelig deteksjon av små objekter.",
+        "noAudioWarning": "Ingen lyd oppdaget for denne strømmen, opptak vil ikke ha lyd.",
+        "audioCodecRecordError": "AAC-lydkodeken kreves for å støtte lyd i opptak.",
+        "audioCodecRequired": "En lydstrøm kreves for å støtte lyddeteksjon.",
+        "restreamingWarning": "Å redusere tilkoblinger til kameraet for opptaksstrømmen kan øke CPU-bruken noe.",
+        "brands": {
+          "reolink-rtsp": "Reolink RTSP anbefales ikke. Aktiver HTTP i kameraets fastvareinnstillinger og start veiviseren på nytt.",
+          "reolink-http": "Reolink HTTP-strømmer bør bruke FFmpeg for bedre kompatibilitet. Aktiver 'Bruk kompatibilitetsmodus for strøm' for denne strømmen."
+        },
+        "dahua": {
+          "substreamWarning": "Substrøm 1 er låst til lav oppløsning. Mange Dahua / Amcrest / EmpireTech-kameraer støtter flere substrømmer som må aktiveres i kameraets innstillinger. Det anbefales å sjekke og benytte disse strømmene hvis de er tilgjengelige."
+        },
+        "hikvision": {
+          "substreamWarning": "Substrøm 1 er låst til lav oppløsning. Mange Hikvision-kameraer støtter flere substrømmer som må aktiveres i kameraets innstillinger. Det anbefales å sjekke og benytte disse strømmene hvis de er tilgjengelige."
+        }
+      }
+    }
+  },
+  "cameraManagement": {
+    "title": "Administrer kameraer",
+    "addCamera": "Legg til nytt kamera",
+    "editCamera": "Rediger kamera:",
+    "selectCamera": "Velg et kamera",
+    "backToSettings": "Tilbake til kamerainnstillinger",
+    "streams": {
+      "title": "Aktiver / Deaktiver kameraer",
+      "desc": "Midlertidig deaktiver et kamera til Frigate startes på nytt. Deaktivering av et kamera stopper Frigates behandling av dette kameraets strømmer fullstendig. Deteksjon, opptak og feilsøking vil være utilgjengelig.<br /> <em>Merk: Dette deaktiverer ikke go2rtc-restrømming.</em>"
+    },
+    "cameraConfig": {
+      "add": "Legg til kamera",
+      "edit": "Rediger kamera",
+      "description": "Konfigurer kamerainnstillinger, inkludert strømmeinnganger og roller.",
+      "name": "Kameranavn",
+      "nameRequired": "Kameranavn er påkrevd",
+      "nameLength": "Kameranavnet må være mindre enn 64 tegn.",
+      "namePlaceholder": "f.eks front_dor eller Hage Oversikt",
+      "enabled": "Aktivert",
+      "ffmpeg": {
+        "inputs": "Inngangsstrømmer",
+        "path": "Lenke til strøm",
+        "pathRequired": "Lenke til strøm er påkrevd",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "Roller",
+        "rolesRequired": "Minst én rolle er påkrevd",
+        "rolesUnique": "Hver rolle (lyd, deteksjon, opptak) kan bare tildeles én strøm",
+        "addInput": "Legg til inngangsstrøm",
+        "removeInput": "Fjern inngangsstrøm",
+        "inputsRequired": "Minst én inngangsstrøm er påkrevd"
+      },
+      "go2rtcStreams": "go2rtc-strømmer",
+      "streamUrls": "Strøm-URL'er",
+      "addUrl": "Legg til URL",
+      "addGo2rtcStream": "Legg til go2rtc-strøm",
+      "toast": {
+        "success": "Kamera {{cameraName}} ble lagret"
+      }
+    }
+  },
+  "cameraReview": {
+    "title": "Innstillinger for kamerainspeksjon",
+    "object_descriptions": {
+      "title": "Generative KI-objektbeskrivelser",
+      "desc": "Midlertidig aktiver/deaktiver generative KI-objektbeskrivelser for dette kameraet. Når deaktivert, vil KI-genererte beskrivelser ikke bli forespurt for sporede objekter på dette kameraet."
+    },
+    "review_descriptions": {
+      "title": "Generative KI beskrivelser for inspeksjon",
+      "desc": "Midlertidig aktiver/deaktiver inspeksjonsbeskrivelser med generativ KI for dette kameraet. Når deaktivert, vil det ikke bli bedt om KI-genererte beskrivelser for inspeksjonselementer på dette kameraet."
+    },
+    "review": {
+      "title": "Inspiser",
+      "desc": "Aktiver/deaktiver varsler og deteksjoner midlertidig for dette kameraet til Frigate startes på nytt. Når deaktivert, vil det ikke genereres nye inspeksjonselementer. ",
+      "alerts": "Varsler ",
+      "detections": "Deteksjoner "
+    },
+    "reviewClassification": {
+      "title": "Inspeksjonsklassifisering",
+      "desc": "Frigate kategoriserer inspeksjonselementer som Varsler og Deteksjoner. Som standard regnes alle <em>person</em>- og <em>bil</em>-objekter som Varsler. Du kan finjustere klassifiseringen ved å konfigurere nødvendige soner.",
+      "noDefinedZones": "Ingen soner er definert for dette kameraet.",
+      "objectAlertsTips": "Alle {{alertsLabels}}-objekter på {{cameraName}} vil bli vist som varsler.",
+      "zoneObjectAlertsTips": "Alle {{alertsLabels}}-objekter oppdaget i {{zone}} på {{cameraName}} vil bli vist som varsler.",
+      "objectDetectionsTips": "Alle {{detectionsLabels}}-objekter som ikke er kategorisert på {{cameraName}}, vil bli vist som deteksjoner uavhengig av hvilken sone de er i.",
+      "zoneObjectDetectionsTips": {
+        "text": "Alle {{detectionsLabels}}-objekter som ikke er kategorisert i {{zone}} på {{cameraName}}, vil bli vist som deteksjoner.",
+        "notSelectDetections": "Alle {{detectionsLabels}}-objekter oppdaget i {{zone}} på {{cameraName}} som ikke er kategorisert som varsler, vil bli vist som deteksjoner uavhengig av hvilken sone de er i.",
+        "regardlessOfZoneObjectDetectionsTips": "Alle {{detectionsLabels}}-objekter som ikke er kategorisert på {{cameraName}}, vil bli vist som deteksjoner uavhengig av hvilken sone de er i."
+      },
+      "unsavedChanges": "Ulagrede innstillinger for inspeksjonsklassifisering for {{camera}}",
+      "selectAlertsZones": "Velg soner for varsler",
+      "selectDetectionsZones": "Velg soner for deteksjoner",
+      "limitDetections": "Avgrens deteksjoner til bestemte soner",
+      "toast": {
+        "success": "Konfigurasjonen for inspeksjonsklassifisering er lagret. Start Frigate på nytt for å aktivere endringer."
+      }
+    }
   }
 }
diff --git a/web/public/locales/nb-NO/views/system.json b/web/public/locales/nb-NO/views/system.json
index d242d69d8..d04cefd93 100644
--- a/web/public/locales/nb-NO/views/system.json
+++ b/web/public/locales/nb-NO/views/system.json
@@ -74,12 +74,24 @@
       "title": "Maskinvareinformasjon",
       "gpuUsage": "GPU-belastning",
       "npuMemory": "NPU minne",
-      "npuUsage": "NPU belastning"
+      "npuUsage": "NPU-belastning",
+      "intelGpuWarning": {
+        "title": "Til info om Intel GPU-statistikk",
+        "message": "GPU statistikk ikke tilgjengelig",
+        "description": "Dette er en kjent feil i Intels verktøy for rapportering av GPU-statistikk (intel_gpu_top), der verktøyet slutter å fungere og gjentatte ganger viser 0 % GPU-bruk, selv om maskinvareakselerasjon og objektdeteksjon kjører korrekt på (i)GPU-en. Dette er ikke en feil i Frigate. Du kan starte verten på nytt for å løse problemet midlertidig, og for å bekrefte at GPU-en fungerer som den skal. Dette påvirker ikke ytelsen."
+      }
     },
     "otherProcesses": {
       "title": "Andre prosesser",
       "processCpuUsage": "Prosessenes CPU-belastning",
-      "processMemoryUsage": "Prosessenes minnebruk"
+      "processMemoryUsage": "Prosessenes minnebruk",
+      "series": {
+        "go2rtc": "go2rtc",
+        "recording": "opptak",
+        "review_segment": "inspeksjonselementer",
+        "embeddings": "vektorrepresentasjoner",
+        "audio_detector": "lyddetektor"
+      }
     }
   },
   "storage": {
@@ -118,7 +130,7 @@
       "fetching": "Henter kameradata",
       "stream": "Strøm {{idx}}",
       "video": "Video:",
-      "fps": "Bilder per sekund:",
+      "fps": "FPS:",
       "unknown": "Ukjent",
       "tips": {
         "title": "Kamerainformasjon"
@@ -165,10 +177,20 @@
       "text_embedding": "Tekst-vektorrepresentasjoner",
       "plate_recognition": "Kjennemerke gjenkjenning",
       "yolov9_plate_detection_speed": "Hastighet for YOLOv9 kjennemerkedeteksjon",
-      "yolov9_plate_detection": "YOLOv9 kjennemerkedeteksjon"
+      "yolov9_plate_detection": "YOLOv9 kjennemerkedeteksjon",
+      "object_description": "Objektbeskrivelse",
+      "object_description_speed": "Objektbeskrivelse hastighet",
+      "object_description_events_per_second": "Objektbeskrivelse",
+      "review_description": "Inspeksjonsbeskrivelse",
+      "review_description_events_per_second": "Inspeksjonsbeskrivelse",
+      "review_description_speed": "Inspeksjonsbeskrivelse hastighet",
+      "classification": "{{name}} Klassifisering",
+      "classification_speed": "{{name}} klassifisering hastighet",
+      "classification_events_per_second": "{{name}} klassifiseringshendelser per sekund"
     },
     "title": "Utvidelser",
-    "infPerSecond": "Inferenser per sekund"
+    "infPerSecond": "Inferenser per sekund",
+    "averageInf": "Gjennomsnittlig inferenstid"
   },
   "title": "System",
   "metrics": "Systemmålinger",
diff --git a/web/public/locales/nl/audio.json b/web/public/locales/nl/audio.json
index e99acca9e..59268c7ef 100644
--- a/web/public/locales/nl/audio.json
+++ b/web/public/locales/nl/audio.json
@@ -16,7 +16,7 @@
   "snoring": "Snurken",
   "gasp": "Snakken naar adem",
   "pant": "Hijgen",
-  "snort": "Snorren",
+  "snort": "Snuiven",
   "sneeze": "Niezen",
   "shuffle": "Schudden",
   "footsteps": "Voetstappen",
@@ -425,5 +425,79 @@
   "environmental_noise": "Omgevingsgeluid",
   "silence": "Stilte",
   "sound_effect": "Geluidseffect",
-  "scream": "Schreeuw"
+  "scream": "Schreeuw",
+  "sodeling": "Sodeling",
+  "chird": "Chird",
+  "change_ringing": "Beltoon wijzigen",
+  "shofar": "Sjofar",
+  "liquid": "Vloeistof",
+  "splash": "Plons",
+  "slosh": "Klotsen",
+  "squish": "Pletten",
+  "drip": "Druppelen",
+  "pour": "Gieten",
+  "trickle": "Gerinkel",
+  "gush": "Stroom",
+  "fill": "Vullen",
+  "spray": "Spuiten",
+  "pump": "Pomp",
+  "stir": "Roeren",
+  "boiling": "Koken",
+  "sonar": "Sonar",
+  "arrow": "Pijl",
+  "whoosh": "Woesj",
+  "thump": "Dreun",
+  "thunk": "doffe dreun",
+  "electronic_tuner": "Elektronische tuner",
+  "effects_unit": "Effecteneenheid",
+  "chorus_effect": "Kooreffect",
+  "basketball_bounce": "Basketbal stuiteren",
+  "bang": "Knal",
+  "slap": "Klap",
+  "whack": "Mep",
+  "smash": "Verpletteren",
+  "breaking": "Breken",
+  "bouncing": "Stuiteren",
+  "whip": "Zweep",
+  "flap": "Klep",
+  "scratch": "Kras",
+  "scrape": "Schrapen",
+  "rub": "Wrijven",
+  "roll": "Rollen",
+  "crushing": "Verpletteren",
+  "crumpling": "Verpletteren",
+  "tearing": "Scheuren",
+  "beep": "Piep",
+  "ping": "Ping",
+  "ding": "Ding",
+  "clang": "Klang",
+  "squeal": "Piepen",
+  "creak": "Kraken",
+  "rustle": "Geritsel",
+  "whir": "Snorren",
+  "clatter": "Gekletter",
+  "sizzle": "Sissen",
+  "clicking": "Klikken",
+  "clickety_clack": "Klik-klak",
+  "rumble": "Gerommel",
+  "plop": "Plop",
+  "hum": "Hum",
+  "zing": "Zing",
+  "boing": "Boing",
+  "crunch": "Kraak",
+  "sine_wave": "Sinusgolf",
+  "harmonic": "Harmonisch",
+  "chirp_tone": "Pieptoon",
+  "pulse": "Puls",
+  "inside": "Binnen",
+  "outside": "Buiten",
+  "reverberation": "Nagalm",
+  "echo": "Echo",
+  "noise": "Lawaai",
+  "mains_hum": "Netstroomgezoe",
+  "distortion": "Vervorming",
+  "sidetone": "Zijtoon",
+  "cacophony": "Kakofonie",
+  "throbbing": "Bonzend",
+  "vibration": "Trilling"
 }
diff --git a/web/public/locales/nl/common.json b/web/public/locales/nl/common.json
index 166dee4b5..045ce5199 100644
--- a/web/public/locales/nl/common.json
+++ b/web/public/locales/nl/common.json
@@ -81,7 +81,10 @@
     "formattedTimestampMonthDayYear": {
       "12hour": "d MMM yyyy",
       "24hour": "d MMM yyyy"
-    }
+    },
+    "inProgress": "Wordt uitgevoerd",
+    "invalidStartTime": "Ongeldige starttijd",
+    "invalidEndTime": "Ongeldige eindtijd"
   },
   "button": {
     "enabled": "Ingeschakeld",
@@ -118,7 +121,8 @@
     "download": "Download",
     "unselect": "Deselecteren",
     "next": "Volgende",
-    "deleteNow": "Nu verwijderen"
+    "deleteNow": "Nu verwijderen",
+    "continue": "Doorgaan"
   },
   "unit": {
     "speed": {
@@ -128,10 +132,24 @@
     "length": {
       "feet": "voet",
       "meters": "meter"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/uur",
+      "mbph": "MB/uur",
+      "gbph": "GB/uur"
     }
   },
   "label": {
-    "back": "Ga terug"
+    "back": "Ga terug",
+    "hide": "Verberg {{item}}",
+    "show": "Toon {{item}}",
+    "ID": "ID",
+    "none": "Geen",
+    "all": "Alle",
+    "other": "Overige"
   },
   "menu": {
     "system": "Systeem",
@@ -232,7 +250,8 @@
       "setPassword": "Wachtwoord instellen",
       "account": "Account",
       "anonymous": "anoniem"
-    }
+    },
+    "classification": "Classificatie"
   },
   "toast": {
     "copyUrlToClipboard": "URL naar klembord gekopieerd.",
@@ -247,7 +266,7 @@
   "role": {
     "title": "Rol",
     "admin": "Beheerder",
-    "viewer": "Gebruiker",
+    "viewer": "Kijker",
     "desc": "Beheerders hebben volledige toegang tot alle functies in de Frigate-interface. Kijkers kunnen alleen camera’s bekijken, items beoordelen en historische beelden terugkijken."
   },
   "pagination": {
@@ -273,5 +292,17 @@
     "documentTitle": "Niet gevonden - Frigate"
   },
   "selectItem": "Selecteer {{item}}",
-  "readTheDocumentation": "Lees de documentatie"
+  "readTheDocumentation": "Lees de documentatie",
+  "information": {
+    "pixels": "{{area}}px"
+  },
+  "list": {
+    "two": "{{0}} en {{1}}",
+    "many": "{{items}}, en {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "Optioneel",
+    "internalID": "De interne ID die Frigate gebruikt in de configuratie en database"
+  }
 }
diff --git a/web/public/locales/nl/components/auth.json b/web/public/locales/nl/components/auth.json
index 78ae8e55e..14fb57adf 100644
--- a/web/public/locales/nl/components/auth.json
+++ b/web/public/locales/nl/components/auth.json
@@ -10,6 +10,7 @@
       "unknownError": "Onbekende fout. Bekijk de logs.",
       "webUnknownError": "Onbekende fout. Controleer consolelogboeken."
     },
-    "user": "Gebruikersnaam"
+    "user": "Gebruikersnaam",
+    "firstTimeLogin": "Probeer je voor het eerst in te loggen? De inloggegevens staan vermeld in de Frigate-logs."
   }
 }
diff --git a/web/public/locales/nl/components/dialog.json b/web/public/locales/nl/components/dialog.json
index 65ee012fd..b666c2b0c 100644
--- a/web/public/locales/nl/components/dialog.json
+++ b/web/public/locales/nl/components/dialog.json
@@ -12,7 +12,7 @@
     "plus": {
       "submitToPlus": {
         "label": "Verzenden naar Frigate+",
-        "desc": "Objecten op locaties die je wilt vermijden, zijn geen valspositieven. Als je ze als valspositieven indient, brengt dit het model in verwarring."
+        "desc": "Objecten op locaties die je wilt vermijden, zijn geen vals-positieven. Als je ze als vals-positieven indient, brengt dit het model in verwarring."
       },
       "review": {
         "true": {
@@ -42,7 +42,7 @@
   },
   "export": {
     "time": {
-      "fromTimeline": "Selecteer uit tijdlijn",
+      "fromTimeline": "Selecteer uit Tijdlijn",
       "end": {
         "label": "Selecteer eindtijd",
         "title": "Eindtijd"
@@ -65,7 +65,8 @@
         "noVaildTimeSelected": "Geen geldig tijdsbereik geselecteerd",
         "endTimeMustAfterStartTime": "Eindtijd moet na starttijd zijn"
       },
-      "success": "Export is succesvol gestart. Bekijk het bestand in de map /exports."
+      "success": "Export is succesvol gestart. Bekijk het bestand op de exportpagina.",
+      "view": "Weergeven"
     },
     "fromTimeline": {
       "saveExport": "Export opslaan",
@@ -105,9 +106,10 @@
   },
   "recording": {
     "button": {
-      "deleteNow": "Nu verwijderen",
+      "deleteNow": "Verwijder nu",
       "export": "Exporteren",
-      "markAsReviewed": "Markeren als beoordeeld"
+      "markAsReviewed": "Markeren als beoordeeld",
+      "markAsUnreviewed": "Markeren als niet beoordeeld"
     },
     "confirmDelete": {
       "desc": {
@@ -121,10 +123,11 @@
     }
   },
   "imagePicker": {
-    "selectImage": "Kies thumbnail van gevolgd object",
-    "noImages": "Geen thumbnails gevonden voor deze camera",
+    "selectImage": "Kies miniatuur van gevolgd object",
+    "noImages": "Geen miniaturen gevonden voor deze camera",
     "search": {
       "placeholder": "Zoeken op label of sub label..."
-    }
+    },
+    "unknownLabel": "Opgeslagen triggerafbeelding"
   }
 }
diff --git a/web/public/locales/nl/components/filter.json b/web/public/locales/nl/components/filter.json
index 95a98146f..e910acd83 100644
--- a/web/public/locales/nl/components/filter.json
+++ b/web/public/locales/nl/components/filter.json
@@ -133,5 +133,9 @@
     },
     "count_one": "{{count}} klasse",
     "count_other": "{{count}} Klassen"
+  },
+  "attributes": {
+    "label": "Classificatie-kenmerken",
+    "all": "Alle attributen"
   }
 }
diff --git a/web/public/locales/nl/objects.json b/web/public/locales/nl/objects.json
index a0b21657b..1fc914a77 100644
--- a/web/public/locales/nl/objects.json
+++ b/web/public/locales/nl/objects.json
@@ -14,7 +14,7 @@
   "traffic_light": "Verkeerslicht",
   "street_sign": "Verkeersbord",
   "stop_sign": "Stopbord",
-  "parking_meter": "Parkeer Meter",
+  "parking_meter": "Parkeermeter",
   "bench": "Bankje",
   "cow": "Koe",
   "giraffe": "Giraffe",
diff --git a/web/public/locales/nl/views/classificationModel.json b/web/public/locales/nl/views/classificationModel.json
new file mode 100644
index 000000000..a94c7956b
--- /dev/null
+++ b/web/public/locales/nl/views/classificationModel.json
@@ -0,0 +1,188 @@
+{
+  "documentTitle": "Classificatiemodellen - Frigate",
+  "button": {
+    "deleteClassificationAttempts": "Classificatieafbeeldingen verwijderen",
+    "renameCategory": "Klasse hernoemen",
+    "deleteCategory": "Klasse verwijderen",
+    "deleteImages": "Afbeeldingen verwijderen",
+    "trainModel": "Model trainen",
+    "addClassification": "Classificatie toevoegen",
+    "deleteModels": "Modellen verwijderen",
+    "editModel": "Model bewerken"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Verwijderde klasse",
+      "deletedImage": "Verwijderde afbeeldingen",
+      "categorizedImage": "Succesvol geclassificeerde afbeelding",
+      "trainedModel": "Succesvol getraind model.",
+      "trainingModel": "Modeltraining succesvol gestart.",
+      "deletedModel_one": "{{count}} model succesvol verwijderd",
+      "deletedModel_other": "{{count}} modellen succesvol verwijderd",
+      "updatedModel": "Modelconfiguratie succesvol bijgewerkt",
+      "renamedCategory": "Klasse succesvol hernoemd naar {{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "Verwijderen mislukt: {{errorMessage}}",
+      "deleteCategoryFailed": "Het verwijderen van de klasse is mislukt: {{errorMessage}}",
+      "categorizeFailed": "Afbeelding categoriseren mislukt: {{errorMessage}}",
+      "trainingFailed": "Modeltraining mislukt. Raadpleeg de Frigate-logs voor details.",
+      "deleteModelFailed": "Model verwijderen mislukt: {{errorMessage}}",
+      "updateModelFailed": "Bijwerken van model mislukt: {{errorMessage}}",
+      "renameCategoryFailed": "Hernoemen van klasse mislukt: {{errorMessage}}",
+      "trainingFailedToStart": "Het is niet gelukt om het model te trainen: {{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "Klasse verwijderen",
+    "desc": "Weet je zeker dat je de klasse {{name}} wilt verwijderen? Hiermee worden alle bijbehorende afbeeldingen permanent verwijderd en moet het model opnieuw worden getraind.",
+    "minClassesTitle": "Kan klasse niet verwijderen",
+    "minClassesDesc": "Een classificatiemodel moet minimaal twee klassen hebben. Voeg een andere klasse toe voordat u deze verwijdert."
+  },
+  "deleteDatasetImages": {
+    "title": "Datasetafbeeldingen verwijderen",
+    "desc_one": "Weet u zeker dat u {{count}} afbeelding uit {{dataset}} wilt verwijderen? Deze actie kan niet ongedaan worden gemaakt en vereist een hertraining van het model.",
+    "desc_other": "Weet u zeker dat u {{count}} afbeeldingen uit {{dataset}} wilt verwijderen? Deze actie kan niet ongedaan worden gemaakt en vereist een hertraining van het model."
+  },
+  "deleteTrainImages": {
+    "title": "Trainingsafbeeldingen verwijderen",
+    "desc_one": "Weet je zeker dat je {{count}} afbeelding wilt verwijderen? Deze actie kan niet ongedaan worden gemaakt.",
+    "desc_other": "Weet je zeker dat je {{count}} afbeeldingen wilt verwijderen? Deze actie kan niet ongedaan worden gemaakt."
+  },
+  "renameCategory": {
+    "title": "Klasse hernoemen",
+    "desc": "Voer een nieuwe naam in voor {{name}}. U moet het model opnieuw trainen om de naamswijziging door te voeren."
+  },
+  "description": {
+    "invalidName": "Ongeldige naam. Namen mogen alleen letters, cijfers, spaties, apostroffen, underscores en koppeltekens bevatten."
+  },
+  "train": {
+    "title": "Recente classificaties",
+    "aria": "Selecteer recente classificaties",
+    "titleShort": "Recent"
+  },
+  "categories": "Klassen",
+  "createCategory": {
+    "new": "Nieuwe klasse maken"
+  },
+  "categorizeImageAs": "Afbeelding classificeren als:",
+  "categorizeImage": "Afbeelding classificeren",
+  "noModels": {
+    "object": {
+      "title": "Geen objectclassificatiemodellen",
+      "description": "Maak een aangepast model om gedetecteerde objecten te classificeren.",
+      "buttonText": "Objectmodel maken"
+    },
+    "state": {
+      "title": "Geen status-classificatiemodellen",
+      "description": "Maak een aangepast model om statuswijzigingen in specifieke cameragebieden te monitoren en te classificeren.",
+      "buttonText": "Maak een statusmodel"
+    }
+  },
+  "wizard": {
+    "title": "Nieuwe classificatie maken",
+    "steps": {
+      "nameAndDefine": "Naam & definiëren",
+      "stateArea": "Staatsgebied",
+      "chooseExamples": "Voorbeelden kiezen"
+    },
+    "step1": {
+      "description": "Statusmodellen houden vaste cameragebieden in de gaten op veranderingen (bijv. deur open/dicht). Objectmodellen voegen classificaties toe aan gedetecteerde objecten (bijv. bekende dieren, bezorgers, enz.).",
+      "name": "Naam",
+      "namePlaceholder": "Voer modelnaam in...",
+      "type": "Type",
+      "typeState": "Staat",
+      "typeObject": "Object",
+      "objectLabel": "Objectlabel",
+      "objectLabelPlaceholder": "Selecteer objecttype...",
+      "classificationType": "Classificatietype",
+      "classificationTypeTip": "Leer meer over classificatietypen",
+      "classificationTypeDesc": "Sublabels voegen extra tekst toe aan het objectlabel (bijv. ‘Persoon: UPS’). Attributen zijn doorzoekbare metadata die apart in de objectmetadata worden opgeslagen.",
+      "classificationSubLabel": "Sublabel",
+      "classificationAttribute": "Attribuut",
+      "classes": "Klassen",
+      "classesTip": "Meer over klassen leren",
+      "classesStateDesc": "Definieer de verschillende staten waarin uw cameragebied zich kan bevinden. Bijvoorbeeld: ‘open’ en ‘gesloten’ voor een garagedeur.",
+      "classesObjectDesc": "Definieer de verschillende categorieën om gedetecteerde objecten in te classificeren. Bijvoorbeeld: ‘bezorger’, ‘bewoner’, ‘vreemdeling’ voor persoonsclassificatie.",
+      "classPlaceholder": "Voer klassenaam in...",
+      "errors": {
+        "nameRequired": "Modelnaam is vereist",
+        "nameLength": "De modelnaam mag maximaal 64 tekens lang zijn",
+        "nameOnlyNumbers": "Modelnaam mag niet alleen uit cijfers bestaan",
+        "classRequired": "Minimaal 1 klasse is vereist",
+        "classesUnique": "Klassennamen moeten uniek zijn",
+        "stateRequiresTwoClasses": "Statusmodellen vereisen minimaal 2 klassen",
+        "objectLabelRequired": "Selecteer een objectlabel",
+        "objectTypeRequired": "Selecteer een classificatietype",
+        "noneNotAllowed": "De klasse 'none' is niet toegestaan"
+      },
+      "states": "Staten"
+    },
+    "step2": {
+      "description": "Selecteer camera’s en definieer voor elke camera het te monitoren gebied. Het model zal de status van deze gebieden classificeren.",
+      "cameras": "Camera's",
+      "selectCamera": "Selecteer camera",
+      "noCameras": "Klik op + om camera’s toe te voegen",
+      "selectCameraPrompt": "Selecteer een camera uit de lijst om het te monitoren gebied te definiëren"
+    },
+    "step3": {
+      "selectImagesPrompt": "Selecteer alle afbeeldingen met: {{className}}",
+      "selectImagesDescription": "Klik op afbeeldingen om ze te selecteren. Klik op doorgaan wanneer je klaar bent met deze klasse.",
+      "generating": {
+        "title": "Voorbeeldafbeeldingen genereren",
+        "description": "Frigate haalt representatieve afbeeldingen uit je opnames. Dit kan even duren..."
+      },
+      "training": {
+        "title": "Model trainen",
+        "description": "Je model wordt op de achtergrond getraind. Sluit dit venster, en je model zal starten zodra de training is voltooid."
+      },
+      "retryGenerate": "Generatie opnieuw proberen",
+      "noImages": "Geen voorbeeldafbeeldingen gegenereerd",
+      "classifying": "Classificeren en trainen...",
+      "trainingStarted": "Training succesvol gestart",
+      "errors": {
+        "noCameras": "Geen camera’s geconfigureerd",
+        "noObjectLabel": "Geen objectlabel geselecteerd",
+        "generateFailed": "Genereren van voorbeelden mislukt: {{error}}",
+        "generationFailed": "Generatie mislukt. Probeer het opnieuw.",
+        "classifyFailed": "Afbeeldingen classificeren mislukt: {{error}}"
+      },
+      "generateSuccess": "Met succes gegenereerde voorbeeldafbeeldingen",
+      "allImagesRequired_one": "Classificeer alle afbeeldingen. {{count}} afbeelding resterend.",
+      "allImagesRequired_other": "Classificeer alle afbeeldingen. {{count}} afbeeldingen resterend.",
+      "modelCreated": "Model succesvol aangemaakt. Gebruik de weergave Recente classificaties om afbeeldingen voor ontbrekende statussen toe te voegen en train vervolgens het model.",
+      "missingStatesWarning": {
+        "title": "Voorbeelden van ontbrekende staten",
+        "description": "Het wordt aanbevolen om voor alle staten voorbeelden te selecteren voor het beste resultaat. Je kunt doorgaan zonder alle staten te selecteren, maar het model wordt pas getraind zodra alle staten afbeeldingen hebben. Na het doorgaan kun je in de weergave ‘Recente Classificaties’ de ontbrekende staten van afbeeldingen voorzien, en daarna het model trainen."
+      }
+    }
+  },
+  "deleteModel": {
+    "title": "Classificatiemodel verwijderen",
+    "single": "Weet u zeker dat u {{name}} wilt verwijderen? Hiermee worden alle bijbehorende gegevens, inclusief afbeeldingen en trainingsgegevens, definitief verwijderd. Deze actie kan niet ongedaan worden gemaakt.",
+    "desc_one": "Weet u zeker dat u {{count}} model wilt verwijderen? Hiermee worden alle bijbehorende gegevens, inclusief afbeeldingen en trainingsgegevens, permanent verwijderd. Deze actie kan niet ongedaan worden gemaakt.",
+    "desc_other": "Weet u zeker dat u {{count}} modellen wilt verwijderen? Hiermee worden alle bijbehorende gegevens, inclusief afbeeldingen en trainingsgegevens, permanent verwijderd. Deze actie kan niet ongedaan worden gemaakt."
+  },
+  "menu": {
+    "objects": "Objecten",
+    "states": "Staten"
+  },
+  "details": {
+    "scoreInfo": "Score geeft het gemiddelde classificatievertrouwen weer over alle detecties van dit object.",
+    "none": "Geen overeenkomst",
+    "unknown": "Onbekend"
+  },
+  "edit": {
+    "title": "Classificatiemodel bewerken",
+    "descriptionState": "Bewerk de klassen voor dit statusclassificatiemodel. Wijzigingen vereisen dat het model opnieuw wordt getraind.",
+    "descriptionObject": "Bewerk het objecttype en het classificatietype voor dit objectclassificatiemodel.",
+    "stateClassesInfo": "Let op: het wijzigen van statusklassen vereist dat het model opnieuw wordt getraind met de bijgewerkte klassen."
+  },
+  "tooltip": {
+    "trainingInProgress": "Model is momenteel aan het trainen",
+    "noNewImages": "Geen nieuwe afbeeldingen om te trainen. Classificeer eerst meer afbeeldingen in de dataset.",
+    "modelNotReady": "Model is niet klaar voor training",
+    "noChanges": "Geen wijzigingen in de dataset sinds de laatste training."
+  },
+  "none": "Geen overeenkomst"
+}
diff --git a/web/public/locales/nl/views/events.json b/web/public/locales/nl/views/events.json
index 3f42b6c29..b4be69aef 100644
--- a/web/public/locales/nl/views/events.json
+++ b/web/public/locales/nl/views/events.json
@@ -13,7 +13,11 @@
   "empty": {
     "alert": "Er zijn geen meldingen om te beoordelen",
     "detection": "Er zijn geen detecties om te beoordelen",
-    "motion": "Geen bewegingsgegevens gevonden"
+    "motion": "Geen bewegingsgegevens gevonden",
+    "recordingsDisabled": {
+      "title": "Opnames moeten zijn ingeschakeld",
+      "description": "Beoordelingsitems kunnen alleen voor een camera worden aangemaakt als opnames voor die camera zijn ingeschakeld."
+    }
   },
   "events": {
     "aria": "Selecteer activiteiten",
@@ -36,5 +40,28 @@
   "selected_one": "{{count}} geselecteerd",
   "detected": "gedetecteerd",
   "suspiciousActivity": "Verdachte activiteit",
-  "threateningActivity": "Bedreigende activiteit"
+  "threateningActivity": "Bedreigende activiteit",
+  "detail": {
+    "noDataFound": "Geen gedetailleerde gegevens om te beoordelen",
+    "aria": "Detailweergave in- of uitschakelen",
+    "trackedObject_one": "{{count}} object",
+    "trackedObject_other": "{{count}} objecten",
+    "noObjectDetailData": "Geen objectdetails beschikbaar.",
+    "label": "Detail",
+    "settings": "Instellingen voor detailweergave",
+    "alwaysExpandActive": {
+      "desc": "Altijd de objectdetails van het actieve beoordelingsitem uitklappen wanneer deze beschikbaar zijn.",
+      "title": "Het huidige item altijd uitvouwen"
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Gevolgd punt",
+    "clickToSeek": "Klik om naar deze tijd te zoeken"
+  },
+  "zoomIn": "Zoom in",
+  "zoomOut": "Zoom uit",
+  "normalActivity": "Normaal",
+  "needsReview": "Heeft een beoordeling nodig",
+  "securityConcern": "Beveiligingsprobleem",
+  "select_all": "Alle"
 }
diff --git a/web/public/locales/nl/views/explore.json b/web/public/locales/nl/views/explore.json
index a7a8f41e4..dcef557f0 100644
--- a/web/public/locales/nl/views/explore.json
+++ b/web/public/locales/nl/views/explore.json
@@ -33,7 +33,9 @@
     "details": "Details",
     "video": "video",
     "snapshot": "snapshot",
-    "object_lifecycle": "objectlevenscyclus"
+    "object_lifecycle": "objectlevenscyclus",
+    "thumbnail": "thumbnail",
+    "tracking_details": "trackinggegevens"
   },
   "objectLifecycle": {
     "createObjectMask": "Objectmasker maken",
@@ -103,13 +105,15 @@
           "regenerate": "Er is een nieuwe beschrijving aangevraagd bij {{provider}}. Afhankelijk van de snelheid van je provider kan het regenereren van de nieuwe beschrijving enige tijd duren.",
           "updatedSublabel": "Sublabel succesvol bijgewerkt.",
           "updatedLPR": "Kenteken succesvol bijgewerkt.",
-          "audioTranscription": "Audiotranscriptie succesvol aangevraagd."
+          "audioTranscription": "Audio-transcriptie succesvol aangevraagd. Afhankelijk van de snelheid van uw Frigate-server kan het even duren voordat de transcriptie voltooid is.",
+          "updatedAttributes": "Attributen succesvol bijgewerkt."
         },
         "error": {
           "updatedSublabelFailed": "Het is niet gelukt om het sublabel bij te werken: {{errorMessage}}",
           "regenerate": "Het is niet gelukt om {{provider}} aan te roepen voor een nieuwe beschrijving: {{errorMessage}}",
           "updatedLPRFailed": "Kentekenplaat bijwerken mislukt: {{errorMessage}}",
-          "audioTranscription": "Audiotranscriptie aanvragen mislukt: {{errorMessage}}"
+          "audioTranscription": "Audiotranscriptie aanvragen mislukt: {{errorMessage}}",
+          "updatedAttributesFailed": "Attributen konden niet worden bijgewerkt: {{errorMessage}}"
         }
       }
     },
@@ -154,10 +158,18 @@
     },
     "recognizedLicensePlate": "Erkende kentekenplaat",
     "snapshotScore": {
-      "label": "Snapshot scoren"
+      "label": "Snapshot score"
     },
     "score": {
       "label": "Score"
+    },
+    "editAttributes": {
+      "title": "Bewerk attributen",
+      "desc": "Selecteer classificatiekenmerken voor dit {{label}}"
+    },
+    "attributes": "Classificatie-kenmerken",
+    "title": {
+      "label": "Titel"
     }
   },
   "itemMenu": {
@@ -195,6 +207,20 @@
     "audioTranscription": {
       "label": "Transcriberen",
       "aria": "Audiotranscriptie aanvragen"
+    },
+    "showObjectDetails": {
+      "label": "Objectpad weergeven"
+    },
+    "hideObjectDetails": {
+      "label": "Verberg objectpad"
+    },
+    "viewTrackingDetails": {
+      "label": "Bekijk trackinggegevens",
+      "aria": "Toon de trackinggegevens"
+    },
+    "downloadCleanSnapshot": {
+      "label": "Download schone snapshot",
+      "aria": "Download schone snapshot"
     }
   },
   "noTrackedObjects": "Geen gevolgde objecten gevonden",
@@ -207,12 +233,14 @@
         "error": "Verwijderen van gevolgd object mislukt: {{errorMessage}}"
       }
     },
-    "tooltip": "{{type}} komt voor {{confidence}}% overeen met de zoekopdracht"
+    "tooltip": "{{type}} komt voor {{confidence}}% overeen met de zoekopdracht",
+    "previousTrackedObject": "Vorig gevolgd object",
+    "nextTrackedObject": "Volgende gevolgde object"
   },
   "dialog": {
     "confirmDelete": {
       "title": "Bevestig Verwijderen",
-      "desc": "Het verwijderen van dit gevolgde object verwijdert de snapshot, alle opgeslagen embeddings en eventuele bijbehorende levenscyclusgegevens van het object. Opgenomen videobeelden van dit object in de Geschiedenisweergave worden <em>NIET</em> verwijderd.<br /><br />Weet je zeker dat je wilt doorgaan?"
+      "desc": "Het verwijderen van dit gevolgde object verwijdert de snapshot, alle opgeslagen embeddings en eventuele bijbehorende trackinggegevens van het object. Opgenomen videobeelden van dit object in de Geschiedenisweergave worden <em>NIET</em> verwijderd.<br /><br />Weet je zeker dat je wilt doorgaan?"
     }
   },
   "fetchingTrackedObjectsFailed": "Fout bij het ophalen van gevolgde objecten: {{errorMessage}}",
@@ -222,5 +250,54 @@
   },
   "concerns": {
     "label": "Zorgen"
+  },
+  "trackingDetails": {
+    "title": "Trackinggegevens",
+    "noImageFound": "Er is geen afbeelding beschikbaar voor dit tijdstip.",
+    "createObjectMask": "Objectmasker maken",
+    "adjustAnnotationSettings": "Annotatie-instellingen aanpassen",
+    "scrollViewTips": "Klik om de belangrijke momenten uit de levenscyclus van dit object te bekijken.",
+    "autoTrackingTips": "Als u een automatische objectvolgende camera gebruikt, zal het objectkader onnauwkeurig zijn.",
+    "count": "{{first}} van {{second}}",
+    "trackedPoint": "Volgpunt",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} gedetecteerd",
+      "entered_zone": "{{label}} in zone {{zones}}",
+      "active": "{{label}} Werd actief",
+      "stationary": "{{label}} werd stationair",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} Gedetecteerd voor {{label}}",
+        "other": "{{label}} Herkend als {{attribute}}"
+      },
+      "gone": "{{label}} vertrok",
+      "heard": "{{label}} gehoord",
+      "external": "{{label}} gedetecteerd",
+      "header": {
+        "zones": "Zones",
+        "ratio": "Verhouding",
+        "area": "Gebied",
+        "score": "Score"
+      }
+    },
+    "annotationSettings": {
+      "title": "Annotatie-instellingen",
+      "showAllZones": {
+        "title": "Toon alle zones",
+        "desc": "Toon altijd zones op frames waar objecten een zone zijn binnengegaan."
+      },
+      "offset": {
+        "label": "Annotatie-afwijking",
+        "desc": "Deze gegevens zijn afkomstig van de detectiestream van je camera, maar worden weergegeven op beelden uit de opnamestream. Het is onwaarschijnlijk dat deze twee streams perfect gesynchroniseerd zijn. Hierdoor zullen het objectkader en het beeld niet exact op elkaar aansluiten. Met deze instelling kun je de annotaties vooruit of achteruit in de tijd verschuiven om ze beter uit te lijnen met het opgenomen beeldmateriaal.",
+        "millisecondsToOffset": "Aantal milliseconden om objectkader mee te verschuiven. <em>Standaard: 0</em>",
+        "tips": "Verlaag de waarde als de videoweergave sneller is dan de objectkaders en hun trajectpunten, en verhoog de waarde als de videoweergave achterloopt. Deze waarde kan negatief zijn.",
+        "toast": {
+          "success": "Annotatieverschuiving voor {{camera}} is opgeslagen in het configuratiebestand."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Vorige dia",
+      "next": "Volgende dia"
+    }
   }
 }
diff --git a/web/public/locales/nl/views/exports.json b/web/public/locales/nl/views/exports.json
index 2589f37c7..b4223a612 100644
--- a/web/public/locales/nl/views/exports.json
+++ b/web/public/locales/nl/views/exports.json
@@ -13,5 +13,11 @@
   },
   "noExports": "Geen export gevonden",
   "deleteExport": "Verwijder Export",
-  "deleteExport.desc": "Weet je zeker dat je dit wilt wissen: {{exportName}}?"
+  "deleteExport.desc": "Weet je zeker dat je dit wilt wissen: {{exportName}}?",
+  "tooltip": {
+    "shareExport": "Deel export",
+    "downloadVideo": "Download video",
+    "editName": "Naam bewerken",
+    "deleteExport": "Verwijder export"
+  }
 }
diff --git a/web/public/locales/nl/views/faceLibrary.json b/web/public/locales/nl/views/faceLibrary.json
index ecc636fda..88ce52e0f 100644
--- a/web/public/locales/nl/views/faceLibrary.json
+++ b/web/public/locales/nl/views/faceLibrary.json
@@ -13,13 +13,14 @@
   "documentTitle": "Gezichtsbibliotheek - Frigate",
   "description": {
     "placeholder": "Voer een naam in voor deze verzameling",
-    "addFace": "Doorloop het toevoegen van een nieuwe collectie aan de gezichtenbibliotheek.",
+    "addFace": "Voeg een nieuwe collectie toe aan de gezichtenbibliotheek door je eerste afbeelding te uploaden.",
     "invalidName": "Ongeldige naam. Namen mogen alleen letters, cijfers, spaties, apostroffen, underscores en koppeltekens bevatten."
   },
   "train": {
-    "title": "Train",
-    "aria": "Selecteer trainen",
-    "empty": "Er zijn geen recente pogingen tot gezichtsherkenning"
+    "title": "Recente herkenningen",
+    "aria": "Selecteer recente herkenningen",
+    "empty": "Er zijn geen recente pogingen tot gezichtsherkenning",
+    "titleShort": "Recent"
   },
   "selectFace": "Selecteer gezicht",
   "toast": {
@@ -36,7 +37,7 @@
       "deletedFace_one": "{{count}} gezicht is succesvol verwijderd.",
       "deletedFace_other": "{{count}} gezichten zijn succesvol verwijderd.",
       "trainedFace": "Met succes getraind gezicht.",
-      "updatedFaceScore": "De gezichtsscore is succesvol bijgewerkt.",
+      "updatedFaceScore": "De gezichtsscore is succesvol bijgewerkt naar {{name}} ({{score}}).",
       "deletedName_one": "{{count}} gezicht is succesvol verwijderd.",
       "deletedName_other": "{{count}} gezichten zijn succesvol verwijderd.",
       "uploadedImage": "Afbeelding succesvol geüpload.",
@@ -46,7 +47,7 @@
   },
   "imageEntry": {
     "dropActive": "Zet de afbeelding hier neer…",
-    "dropInstructions": "Sleep een afbeelding hierheen of klik om te selecteren",
+    "dropInstructions": "Sleep een afbeelding hierheen, of klik om te selecteren",
     "maxSize": "Maximale grootte: {{size}}MB",
     "validation": {
       "selectImage": "Selecteer een afbeeldingbestand."
@@ -56,7 +57,7 @@
     "title": "Collectie maken",
     "desc": "Een nieuwe collectie maken",
     "new": "Creëer een nieuw gezicht",
-    "nextSteps": "Om een sterke basis op te bouwen:<li>Gebruik het tabblad Trainen om per gedetecteerd persoon afbeeldingen te selecteren en te trainen.</li> <li>Richt je op frontale afbeeldingen voor het beste resultaat; vermijd trainingsbeelden waarop gezichten vanuit een hoek te zien zijn.</li>"
+    "nextSteps": "Om een sterke basis op te bouwen:<li>Gebruik het tabblad ‘Recente herkenningen’ om afbeeldingen te selecteren en te trainen voor elke gedetecteerde persoon.</li> <li>Richt je op afbeeldingen die recht van voren genomen zijn voor de beste resultaten, vermijd trainingsafbeeldingen waarop gezichten onder een hoek te zien zijn.</li>"
   },
   "button": {
     "addFace": "Gezicht toevoegen",
diff --git a/web/public/locales/nl/views/live.json b/web/public/locales/nl/views/live.json
index 25b6b3e6a..e6dd73bea 100644
--- a/web/public/locales/nl/views/live.json
+++ b/web/public/locales/nl/views/live.json
@@ -91,8 +91,8 @@
       "desc": "Schakel deze optie in om te blijven streamen wanneer de speler verborgen is."
     },
     "recordDisabledTips": "Aangezien opnemen is uitgeschakeld of beperkt in de configuratie van deze camera, zal alleen een momentopname worden opgeslagen.",
-    "title": "Opname op aanvraag",
-    "tips": "Start een handmatige gebeurtenis op basis van de opnamebehoudinstellingen van deze camera.",
+    "title": "Op aanvraag",
+    "tips": "Download direct een snapshot of start handmatig een gebeurtenis op basis van de opnamebewaarinstellingen van deze camera.",
     "failedToStart": "Handmatige opname starten mislukt."
   },
   "notifications": "Meldingen",
@@ -128,7 +128,7 @@
         "documentation": "Lees de documentatie ",
         "title": "Audio moet via je camera komen en in go2rtc geconfigureerd zijn voor deze stream."
       },
-      "unavailable": "Audio is niet beschikbaar voor deze stroom",
+      "unavailable": "Audio is niet beschikbaar voor deze stream",
       "available": "Audio is beschikbaar voor deze stream"
     },
     "playInBackground": {
@@ -170,5 +170,20 @@
   "transcription": {
     "enable": "Live audiotranscriptie inschakelen",
     "disable": "Live audiotranscriptie uitschakelen"
+  },
+  "snapshot": {
+    "takeSnapshot": "Direct een snapshot downloaden",
+    "noVideoSource": "Geen videobron beschikbaar voor snapshot.",
+    "captureFailed": "Het is niet gelukt om een snapshot te maken.",
+    "downloadStarted": "Snapshot downloaden gestart."
+  },
+  "noCameras": {
+    "title": "Geen camera’s ingesteld",
+    "description": "Begin door een camera te verbinden met Frigate.",
+    "buttonText": "Camera toevoegen",
+    "restricted": {
+      "title": "Geen camera's beschikbaar",
+      "description": "Je hebt geen toestemming om camera's in deze groep te bekijken."
+    }
   }
 }
diff --git a/web/public/locales/nl/views/search.json b/web/public/locales/nl/views/search.json
index 47487be38..7552d1439 100644
--- a/web/public/locales/nl/views/search.json
+++ b/web/public/locales/nl/views/search.json
@@ -26,7 +26,8 @@
       "search_type": "Zoektype",
       "zones": "Zones",
       "max_speed": "Max snelheid",
-      "after": "Na"
+      "after": "Na",
+      "attributes": "Kenmerken"
     },
     "toast": {
       "error": {
diff --git a/web/public/locales/nl/views/settings.json b/web/public/locales/nl/views/settings.json
index e60e3af39..dade19f15 100644
--- a/web/public/locales/nl/views/settings.json
+++ b/web/public/locales/nl/views/settings.json
@@ -7,10 +7,12 @@
     "classification": "Classificatie-instellingen - Frigate",
     "masksAndZones": "Masker- en zone-editor - Frigate",
     "object": "Foutopsporing Frigate",
-    "general": "Algemene instellingen - Frigate",
+    "general": "Gebruikersinterface-instellingen - Frigate",
     "frigatePlus": "Frigate+ Instellingen - Frigate",
     "notifications": "Meldingsinstellingen - Frigate",
-    "enrichments": "Verrijkingsinstellingen - Frigate"
+    "enrichments": "Verrijkingsinstellingen - Frigate",
+    "cameraManagement": "Camera's beheren - Frigate",
+    "cameraReview": "Camera Review Instellingen - Frigate"
   },
   "menu": {
     "ui": "Gebruikersinterface",
@@ -23,7 +25,10 @@
     "cameras": "Camera-instellingen",
     "frigateplus": "Frigate+",
     "enrichments": "Verrijkingen",
-    "triggers": "Triggers"
+    "triggers": "Triggers",
+    "roles": "Rollen",
+    "cameraManagement": "Beheer",
+    "cameraReview": "Beoordeel"
   },
   "dialog": {
     "unsavedChanges": {
@@ -45,9 +50,17 @@
       "playAlertVideos": {
         "label": "Meldingen afspelen",
         "desc": "Standaard worden recente meldingen op het Live dashboard afgespeeld als kleine lusvideo's. Schakel deze optie uit om alleen een statische afbeelding van recente meldingen weer te geven op dit apparaat/browser."
+      },
+      "displayCameraNames": {
+        "label": "Altijd cameranamen weergeven",
+        "desc": "Toon altijd de cameranamen in een label op het live-cameradashboard."
+      },
+      "liveFallbackTimeout": {
+        "label": "Live speler fallback time-out",
+        "desc": "Wanneer de hoogwaardige livestream van een camera niet beschikbaar is, schakel dan na dit aantal seconden terug naar de modus voor lage bandbreedte. Standaard: 3."
       }
     },
-    "title": "Algemene instellingen",
+    "title": "Gebruikersinterface instellingen",
     "storedLayouts": {
       "title": "Opgeslagen indelingen",
       "clearAll": "Alle indelingen wissen",
@@ -59,7 +72,7 @@
       "clearAll": "Alle streaminginstellingen wissen"
     },
     "recordingsViewer": {
-      "title": "Opnamebekijker",
+      "title": "Opnameweergave",
       "defaultPlaybackRate": {
         "label": "Standaard afspeelsnelheid",
         "desc": "Standaard afspeelsnelheid voor het afspelen van opnames."
@@ -238,7 +251,8 @@
           "mustNotContainPeriod": "De zonenaam mag geen punten bevatten.",
           "hasIllegalCharacter": "De zonenaam bevat ongeldige tekens.",
           "mustNotBeSameWithCamera": "De zonenaam mag niet gelijk zijn aan de cameranaam.",
-          "alreadyExists": "Er bestaat al een zone met deze naam voor deze camera."
+          "alreadyExists": "Er bestaat al een zone met deze naam voor deze camera.",
+          "mustHaveAtLeastOneLetter": "De zonenaam moet minimaal één letter bevatten."
         }
       },
       "distance": {
@@ -292,7 +306,7 @@
       "name": {
         "title": "Naam",
         "inputPlaceHolder": "Voer een naam in…",
-        "tips": "De naam moet minimaal 2 tekens lang zijn en mag niet gelijk zijn aan de naam van een camera of een andere zone."
+        "tips": "De naam moet minimaal 2 tekens lang zijn, minimaal één letter bevatten en mag niet gelijk zijn aan de naam van een camera of andere zone op deze camera."
       },
       "inertia": {
         "title": "Traagheid",
@@ -331,7 +345,7 @@
       "add": "Zone toevoegen",
       "allObjects": "Alle objecten",
       "toast": {
-        "success": "Zone ({{zoneName}}) is opgeslagen. Start Frigate opnieuw om de wijzigingen toe te passen."
+        "success": "Zone ({{zoneName}}) is opgeslagen."
       }
     },
     "motionMasks": {
@@ -356,8 +370,8 @@
       "point_other": "{{count}} punten",
       "toast": {
         "success": {
-          "title": "{{polygonName}} is opgeslagen. Herstart Frigate om de wijzigingen toe te passen.",
-          "noName": "Bewegingsmasker is opgeslagen. Herstart Frigate om de wijzigingen toe te passen."
+          "title": "{{polygonName}} is opgeslagen.",
+          "noName": "Bewegingsmasker is opgeslagen."
         }
       },
       "add": "Nieuw bewegingsmasker"
@@ -377,8 +391,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} is opgeslagen. Herstart Frigate om de wijzigingen toe te passen.",
-          "noName": "Objectmasker is opgeslagen. Herstart Frigate om de wijzigingen toe te passen."
+          "title": "{{polygonName}} is opgeslagen.",
+          "noName": "Objectmasker is opgeslagen."
         }
       },
       "point_one": "{{count}} punt",
@@ -481,7 +495,7 @@
       "title": "Gebruikersbeheer"
     },
     "addUser": "Gebruiker toevoegen",
-    "updatePassword": "Wachtwoord bijwerken",
+    "updatePassword": "Wachtwoord opnieuw instellen",
     "toast": {
       "success": {
         "createUser": "Gebruiker {{user}} succesvol aangemaakt",
@@ -501,7 +515,7 @@
       "role": "Rol",
       "noUsers": "Geen gebruikers gevonden.",
       "changeRole": "Gebruikersrol wijzigen",
-      "password": "Wachtwoord",
+      "password": "Wachtwoord opnieuw instellen",
       "deleteUser": "Verwijder gebruiker",
       "username": "Gebruikersnaam"
     },
@@ -527,7 +541,16 @@
             "placeholder": "Wachtwoord bevestigen"
           },
           "placeholder": "Wachtwoord invoeren",
-          "notMatch": "Wachtwoorden komen niet overeen"
+          "notMatch": "Wachtwoorden komen niet overeen",
+          "show": "Wachtwoord weergeven",
+          "hide": "Wachtwoord verbergen",
+          "requirements": {
+            "title": "Wachtwoordvereisten:",
+            "length": "Minimaal 8 tekens",
+            "uppercase": "Minimaal één hoofdletter",
+            "digit": "Minimaal één cijfer",
+            "special": "Minimaal één speciaal teken (!@#$%^&*(),.?\":{}|<>)"
+          }
         },
         "newPassword": {
           "title": "Nieuw wachtwoord",
@@ -537,7 +560,11 @@
           }
         },
         "usernameIsRequired": "Gebruikersnaam is vereist",
-        "passwordIsRequired": "Wachtwoord is vereist"
+        "passwordIsRequired": "Wachtwoord is vereist",
+        "currentPassword": {
+          "title": "Huidig wachtwoord",
+          "placeholder": "Voer uw huidige wachtwoord in"
+        }
       },
       "createUser": {
         "title": "Nieuwe gebruiker aanmaken",
@@ -557,7 +584,7 @@
           "intro": "Selecteer een gepaste rol voor deze gebruiker:",
           "admin": "Beheerder",
           "adminDesc": "Volledige toegang tot alle functies.",
-          "viewer": "Gebruiker",
+          "viewer": "Kijker",
           "viewerDesc": "Alleen toegang tot Live-dashboards, Beoordelen, Verkennen en Exports.",
           "customDesc": "Aangepaste rol met specifieke cameratoegang."
         },
@@ -568,7 +595,12 @@
         "updatePassword": "Wachtwoord bijwerken voor {{username}}",
         "desc": "Maak een sterk wachtwoord aan om dit account te beveiligen.",
         "cannotBeEmpty": "Het wachtwoord kan niet leeg zijn",
-        "doNotMatch": "Wachtwoorden komen niet overeen"
+        "doNotMatch": "Wachtwoorden komen niet overeen",
+        "currentPasswordRequired": "Huidig wachtwoord is vereist",
+        "incorrectCurrentPassword": "Het huidige wachtwoord is onjuist",
+        "passwordVerificationFailed": "Wachtwoord kan niet worden geverifieerd",
+        "multiDeviceWarning": "Op alle andere apparaten waarop u bent ingelogd, moet u binnen {{refresh_time}} opnieuw inloggen.",
+        "multiDeviceAdmin": "Je kunt ook alle gebruikers forceren zich onmiddellijk opnieuw te authenticeren door je JWT-geheim te roteren."
       }
     }
   },
@@ -737,7 +769,7 @@
   "triggers": {
     "documentTitle": "Triggers",
     "management": {
-      "title": "Triggerbeheer",
+      "title": "Triggers",
       "desc": "Beheer triggers voor {{camera}}. Gebruik een thumbnail om te triggeren op vergelijkbare thumbnails van het door jou gevolgde object, of gebruik een objectbeschrijving om te triggeren op vergelijkbare beschrijvingen van de door jou opgegeven tekst."
     },
     "addTrigger": "Trigger toevoegen",
@@ -758,7 +790,9 @@
     },
     "actions": {
       "alert": "Markeren als waarschuwing",
-      "notification": "Melding verzenden"
+      "notification": "Melding verzenden",
+      "sub_label": "Sublabel toevoegen",
+      "attribute": "Attribuut toevoegen"
     },
     "dialog": {
       "createTrigger": {
@@ -776,25 +810,28 @@
       "form": {
         "name": {
           "title": "Naam",
-          "placeholder": "Voer de naam van de trigger in",
+          "placeholder": "Geef deze trigger een naam",
           "error": {
-            "minLength": "De naam moet minimaal 2 tekens lang zijn.",
-            "invalidCharacters": "De naam mag alleen letters, cijfers, onderstrepingstekens en koppeltekens bevatten.",
+            "minLength": "Het veld moet minimaal 2 tekens lang zijn.",
+            "invalidCharacters": "Dit veld mag alleen letters, cijfers, onderstrepingstekens en koppeltekens bevatten.",
             "alreadyExists": "Er bestaat al een trigger met deze naam voor deze camera."
-          }
+          },
+          "description": "Voer een unieke naam of beschrijving in om deze trigger te identificeren"
         },
         "enabled": {
           "description": "Deze trigger in- of uitschakelen"
         },
         "type": {
           "title": "Type",
-          "placeholder": "Selecteer het type trigger"
+          "placeholder": "Selecteer het type trigger",
+          "description": "Activeer wanneer een vergelijkbare beschrijving van een gevolgd object wordt gedetecteerd",
+          "thumbnail": "Activeer wanneer een vergelijkbare thumbnail van een gevolgd object wordt gedetecteerd"
         },
         "content": {
           "title": "Inhoud",
-          "imagePlaceholder": "Selecteer een afbeelding",
+          "imagePlaceholder": "Selecteer een thumbnail",
           "textPlaceholder": "Tekst invoeren",
-          "imageDesc": "Selecteer een afbeelding om deze actie te activeren wanneer een vergelijkbare afbeelding wordt gedetecteerd.",
+          "imageDesc": "Alleen de meest recente 100 thumbnails worden weergegeven. Als je de gewenste thumbnail niet kunt vinden, bekijk dan eerdere objecten in Verkennen en stel daar een trigger in via het menu.",
           "textDesc": "Voer tekst in om deze actie te activeren wanneer een vergelijkbare beschrijving van een gevolgd object wordt gedetecteerd.",
           "error": {
             "required": "Inhoud is vereist."
@@ -805,14 +842,20 @@
           "error": {
             "min": "De drempelwaarde moet minimaal 0 zijn",
             "max": "De drempelwaarde mag maximaal 1 zijn"
-          }
+          },
+          "desc": "Stel de vergelijkingsdrempel in voor deze trigger. Een hogere drempel betekent dat er een nauwere overeenkomst vereist is om de trigger te activeren."
         },
         "actions": {
           "title": "Acties",
-          "desc": "Standaard verstuurt Frigate een MQTT-bericht voor alle triggers. Kies een extra actie die moet worden uitgevoerd wanneer deze trigger wordt geactiveerd.",
+          "desc": "Standaard stuurt Frigate een MQTT-bericht voor alle triggers. Sublabels voegen de triggernaam toe aan het objectlabel. Attributen zijn doorzoekbare metadata die afzonderlijk worden opgeslagen in de metadata van het gevolgde object.",
           "error": {
             "min": "Er moet ten minste één actie worden geselecteerd."
           }
+        },
+        "friendly_name": {
+          "title": "Gebruiksvriendelijke naam",
+          "placeholder": "Geef een naam of beschrijf deze trigger",
+          "description": "Een optionele gebruiksvriendelijke naam of beschrijvende tekst voor deze trigger."
         }
       }
     },
@@ -827,6 +870,27 @@
         "updateTriggerFailed": "Trigger kan niet worden bijgewerkt: {{errorMessage}}",
         "deleteTriggerFailed": "Trigger kan niet worden verwijderd: {{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "title": "Semantisch zoeken is uitgeschakeld",
+      "desc": "Semantisch zoeken moet ingeschakeld zijn om triggers te kunnen gebruiken."
+    },
+    "wizard": {
+      "title": "Trigger maken",
+      "step1": {
+        "description": "Configureer de basisinstellingen voor uw trigger."
+      },
+      "step2": {
+        "description": "Stel de inhoud in die deze trigger activeert."
+      },
+      "step3": {
+        "description": "Configureer de drempelwaarde en acties voor deze trigger."
+      },
+      "steps": {
+        "nameAndType": "Naam en type",
+        "configureData": "Gegevens configureren",
+        "thresholdAndActions": "Drempel en acties"
+      }
     }
   },
   "roles": {
@@ -848,7 +912,8 @@
         "createRole": "Rol {{role}} succesvol aangemaakt",
         "updateCameras": "Camera's bijgewerkt voor rol {{role}}",
         "deleteRole": "Rol {{role}} succesvol verwijderd",
-        "userRolesUpdated": "{{count}} gebruiker(s) die aan deze rol waren toegewezen, zijn bijgewerkt naar ‘kijker’, die toegang heeft tot alle camera’s."
+        "userRolesUpdated_one": "{{count}} gebruiker die aan deze rol was toegewezen, is bijgewerkt naar de rol ‘kijker’, die toegang heeft tot alle camera’s.",
+        "userRolesUpdated_other": "{{count}} gebruikers die aan deze rol waren toegewezen, zijn bijgewerkt naar de rol ‘kijker’, die toegang heeft tot alle camera’s."
       },
       "error": {
         "createRoleFailed": "Kan rol niet aanmaken: {{errorMessage}}",
@@ -888,5 +953,358 @@
         }
       }
     }
+  },
+  "cameraWizard": {
+    "title": "Camera toevoegen",
+    "description": "Volg de onderstaande stappen om een nieuwe camera toe te voegen aan uw Frigate-installatie.",
+    "steps": {
+      "nameAndConnection": "Naam & Verbinding",
+      "streamConfiguration": "Streamconfiguratie",
+      "validationAndTesting": "Validatie & testen",
+      "probeOrSnapshot": "Test of Snapshot"
+    },
+    "save": {
+      "success": "Nieuwe camera {{cameraName}} succesvol opgeslagen.",
+      "failure": "Fout bij het opslaan van {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Resolutie",
+      "video": "Video",
+      "audio": "Audio",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Geef een geldige stream-URL op",
+      "testFailed": "Streamtest mislukt: {{error}}"
+    },
+    "step1": {
+      "description": "Voer de gegevens van uw camera in en kies ervoor om de camera te scannen of selecteer handmatig het merk.",
+      "cameraName": "Cameranaam",
+      "cameraNamePlaceholder": "bijv. voordeur of achtertuin camera",
+      "host": "Host/IP-adres",
+      "port": "Port",
+      "username": "Gebruikersnaam",
+      "usernamePlaceholder": "Optioneel",
+      "password": "Wachtwoord",
+      "passwordPlaceholder": "Optioneel",
+      "selectTransport": "Selecteer transportprotocol",
+      "cameraBrand": "Cameramerk",
+      "selectBrand": "Selecteer cameramerk voor URL-sjabloon",
+      "customUrl": "Aangepaste stream-URL",
+      "brandInformation": "Merkinformatie",
+      "brandUrlFormat": "Voor camera's met het RTSP URL-formaat als: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://gebruikersnaam:wachtwoord@host:poort/pad",
+      "testConnection": "Testverbinding",
+      "testSuccess": "Verbindingstest succesvol!",
+      "testFailed": "Verbindingstest mislukt. Controleer uw invoer en probeer het opnieuw.",
+      "streamDetails": "Streamdetails",
+      "warnings": {
+        "noSnapshot": "Er kan geen snapshot worden opgehaald uit de geconfigureerde stream."
+      },
+      "errors": {
+        "brandOrCustomUrlRequired": "Selecteer een cameramerk met host/IP of kies 'Overig' voor een aangepaste URL",
+        "nameRequired": "Cameranaam is vereist",
+        "nameLength": "De cameranaam mag maximaal 64 tekens lang zijn",
+        "invalidCharacters": "Cameranaam bevat ongeldige tekens",
+        "nameExists": "Cameranaam bestaat al",
+        "brands": {
+          "reolink-rtsp": "Reolink RTSP wordt niet aanbevolen. Schakel HTTP in via de firmware-instellingen van de camera en start de wizard opnieuw."
+        },
+        "customUrlRtspRequired": "Aangepaste URL’s moeten beginnen met “rtsp://”. Handmatige configuratie is vereist voor camera­streams die geen RTSP gebruiken."
+      },
+      "docs": {
+        "reolink": "https://docs.frigate.video/configuration/camera_specific.html#reolink-cameras"
+      },
+      "testing": {
+        "probingMetadata": "Camerametadata wordt onderzocht...",
+        "fetchingSnapshot": "Camerasnapshot ophalen..."
+      },
+      "connectionSettings": "Verbindingsinstellingen",
+      "detectionMethod": "Stream-detectiemethode",
+      "onvifPort": "ONVIF-poort",
+      "probeMode": "Camera testen",
+      "manualMode": "Handmatige selectie",
+      "detectionMethodDescription": "Test de camera met ONVIF (indien ondersteund) om de stream-URL’s van de camera te vinden, of selecteer handmatig het cameramerk om vooraf gedefinieerde URL’s te gebruiken. Om een aangepaste RTSP-URL in te voeren, kies de handmatige methode en selecteer “Anders”.",
+      "onvifPortDescription": "Voor camera's die ONVIF ondersteunen, is dit meestal 80 of 8080.",
+      "useDigestAuth": "Gebruik digest-authenticatie",
+      "useDigestAuthDescription": "Gebruik HTTP-digestauthenticatie voor ONVIF. Sommige camera’s vereisen mogelijk een aparte ONVIF-gebruikersnaam en -wachtwoord in plaats van de standaard ‘admin’ gebruiker."
+    },
+    "step2": {
+      "description": "Controleer de camera op beschikbare streams of configureer handmatige instellingen op basis van de door u geselecteerde detectiemethode.",
+      "streamsTitle": "Camerastreams",
+      "addStream": "Stream toevoegen",
+      "addAnotherStream": "Voeg een extra stream toe",
+      "streamTitle": "Stream {{number}}",
+      "streamUrl": "Stream-URL",
+      "streamUrlPlaceholder": "rtsp://gebruikersnaam:wachtwoord@host:poort/pad",
+      "url": "URL",
+      "resolution": "Resolutie",
+      "selectResolution": "Selecteer resolutie",
+      "quality": "Kwaliteit",
+      "selectQuality": "Selecteer kwaliteit",
+      "roles": "Functie",
+      "roleLabels": {
+        "detect": "Objectdetectie",
+        "record": "Opname",
+        "audio": "Audio"
+      },
+      "testStream": "Testverbinding",
+      "testSuccess": "Verbindingstest succesvol!",
+      "testFailed": "Verbindingstest mislukt. Controleer uw invoer en probeer het opnieuw.",
+      "testFailedTitle": "Test mislukt",
+      "connected": "Aangesloten",
+      "notConnected": "Niet verbonden",
+      "featuresTitle": "Functies",
+      "go2rtc": "Verminder verbindingen met de camera",
+      "detectRoleWarning": "Er moet minimaal één stream de rol 'detecteren' hebben om door te kunnen gaan.",
+      "rolesPopover": {
+        "title": "Streamrollen",
+        "detect": "Hoofdfeed voor objectdetectie.",
+        "record": "Slaat segmenten van de videofeed op op basis van de configuratie-instellingen.",
+        "audio": "Feed voor op audio gebaseerde detectie."
+      },
+      "featuresPopover": {
+        "title": "Streamfuncties",
+        "description": "Gebruik go2rtc-herstreaming om het aantal verbindingen met je camera te verminderen."
+      },
+      "streamDetails": "Streamdetails",
+      "probing": "Camera wordt getest...",
+      "retry": "Opnieuw proberen",
+      "testing": {
+        "probingMetadata": "Camera-metadata onderzoeken...",
+        "fetchingSnapshot": "Camerasnapshot ophalen..."
+      },
+      "probeFailed": "Het testen van de camera is mislukt: {{error}}",
+      "probingDevice": "Onderzoekapparaat...",
+      "probeSuccessful": "Test succesvol",
+      "probeError": "Testfout",
+      "probeNoSuccess": "Test mislukt",
+      "deviceInfo": "Apparaatinformatie",
+      "manufacturer": "Fabrikant",
+      "model": "Model",
+      "firmware": "Firmware",
+      "profiles": "Profielen",
+      "ptzSupport": "PTZ-ondersteuning",
+      "autotrackingSupport": "Ondersteuning voor automatische tracking",
+      "presets": "Standaardinstellingen",
+      "rtspCandidates": "RTSP-kandidaten",
+      "rtspCandidatesDescription": "De volgende RTSP-URL's zijn gevonden door de camera te scannen. Test de verbinding om de metagegevens van de stream te bekijken.",
+      "noRtspCandidates": "Er zijn geen RTSP-URL’s gevonden van de camera. Je inloggegevens zijn mogelijk onjuist, of de camera ondersteunt ONVIF of de gebruikte methode voor het ophalen van RTSP-URL’s niet. Ga terug en voer de RTSP-URL handmatig in.",
+      "candidateStreamTitle": "Kandidaat {{number}}",
+      "useCandidate": "Gebruik",
+      "uriCopy": "Kopiëren",
+      "uriCopied": "URI gekopieerd naar klembord",
+      "testConnection": "Testverbinding",
+      "toggleUriView": "Klik om te schakelen tussen volledige URI-weergave",
+      "errors": {
+        "hostRequired": "Host/IP-adres is vereist"
+      }
+    },
+    "step3": {
+      "description": "Configureer streamrollen en voeg extra streams toe voor uw camera.",
+      "validationTitle": "Streamvalidatie",
+      "connectAllStreams": "Verbind alle streams",
+      "reconnectionSuccess": "Opnieuw verbinden gelukt.",
+      "reconnectionPartial": "Bij sommige streams kon de verbinding niet worden hersteld.",
+      "streamUnavailable": "Streamvoorbeeld niet beschikbaar",
+      "reload": "Herladen",
+      "connecting": "Verbinden...",
+      "streamTitle": "Stream {{number}}",
+      "valid": "Geldig",
+      "failed": "Mislukt",
+      "notTested": "Niet getest",
+      "connectStream": "Verbinden",
+      "connectingStream": "Verbinden",
+      "disconnectStream": "Verbreek verbinding",
+      "estimatedBandwidth": "Geschatte bandbreedte",
+      "roles": "Functie",
+      "none": "Niets",
+      "error": "Fout",
+      "streamValidated": "Stream {{number}} is succesvol gevalideerd",
+      "streamValidationFailed": "Stream {{number}} validatie mislukt",
+      "saveAndApply": "Nieuwe camera opslaan",
+      "saveError": "Ongeldige configuratie, Controleer uw instellingen.",
+      "issues": {
+        "title": "Streamvalidatie",
+        "videoCodecGood": "Videocodec is {{codec}}.",
+        "audioCodecGood": "Audiocodec is {{codec}}.",
+        "noAudioWarning": "Geen audio gedetecteerd voor deze stream, opnames bevatten geen audio.",
+        "audioCodecRecordError": "De AAC-audiocodec is vereist om audio in opnames te ondersteunen.",
+        "audioCodecRequired": "Ter ondersteuning van audiodetectie is een audiostream vereist.",
+        "restreamingWarning": "Als u het aantal verbindingen met de camera voor de opnamestream vermindert, kan het CPU-gebruik iets toenemen.",
+        "dahua": {
+          "substreamWarning": "Substream 1 is beperkt tot een lage resolutie. Veel Dahua / Amcrest / EmpireTech camera’s ondersteunen extra substreams die in de instellingen van de camera ingeschakeld moeten worden. Het wordt aanbevolen deze streams te controleren en te gebruiken indien beschikbaar."
+        },
+        "hikvision": {
+          "substreamWarning": "Substream 1 is beperkt tot een lage resolutie. Veel Hikvision-camera’s ondersteunen extra substreams die in de instellingen van de camera ingeschakeld moeten worden. Het wordt aanbevolen deze streams te controleren en te gebruiken indien beschikbaar."
+        },
+        "resolutionHigh": "Een resolutie van {{resolution}} kan leiden tot een verhoogd gebruik van systeembronnen.",
+        "resolutionLow": "Een resolutie van {{resolution}} kan te laag zijn voor betrouwbare detectie van kleine objecten."
+      },
+      "ffmpegModule": "Gebruik stream-compatibiliteitsmodus",
+      "ffmpegModuleDescription": "Als de stream na meerdere pogingen niet wordt geladen, probeer dit dan in te schakelen. Wanneer deze optie is ingeschakeld, gebruikt Frigate de ffmpeg-module samen met go2rtc. Dit kan zorgen voor een betere compatibiliteit met sommige camerastreams.",
+      "streamsTitle": "Camerastreams",
+      "addStream": "Stream toevoegen",
+      "addAnotherStream": "Voeg een extra stream toe",
+      "streamUrl": "Stream-URL",
+      "streamUrlPlaceholder": "rtsp://gebruikersnaam:wachtwoord@host:poort/pad",
+      "selectStream": "Selecteer een stream",
+      "searchCandidates": "Zoek kandidaten...",
+      "noStreamFound": "Geen stream gevonden",
+      "url": "URL",
+      "resolution": "Resolutie",
+      "selectResolution": "Selecteer resolutie",
+      "quality": "Kwaliteit",
+      "selectQuality": "Selecteer kwaliteit",
+      "roleLabels": {
+        "detect": "Objectdetectie",
+        "record": "Opname",
+        "audio": "Audio"
+      },
+      "testStream": "Testverbinding",
+      "testSuccess": "Streamtest succesvol!",
+      "testFailed": "Streamtest mislukt",
+      "testFailedTitle": "Test mislukt",
+      "connected": "Aangesloten",
+      "notConnected": "Niet verbonden",
+      "featuresTitle": "Functies",
+      "go2rtc": "Verminder verbindingen met de camera",
+      "detectRoleWarning": "Er moet minimaal één stream de rol 'detecteren' hebben om door te kunnen gaan.",
+      "rolesPopover": {
+        "title": "Streamrollen",
+        "detect": "Hoofdstream voor objectdetectie.",
+        "record": "Slaat segmenten van de videostream op op basis van de configuratie-instellingen.",
+        "audio": "Stream voor op audio gebaseerde detectie."
+      },
+      "featuresPopover": {
+        "title": "Streamfuncties",
+        "description": "Gebruik go2rtc-herstreaming om het aantal verbindingen met je camera te verminderen."
+      }
+    },
+    "step4": {
+      "description": "Laatste controle en analyse voordat je je nieuwe camera opslaat. Verbind elke stream voordat je opslaat.",
+      "validationTitle": "Streamvalidatie",
+      "connectAllStreams": "Verbind alle streams",
+      "reconnectionSuccess": "Opnieuw verbinden gelukt.",
+      "reconnectionPartial": "Bij sommige streams kon de verbinding niet worden hersteld.",
+      "streamUnavailable": "Streamvoorbeeld niet beschikbaar",
+      "reload": "Herladen",
+      "connecting": "Verbinden...",
+      "streamTitle": "Stream {{number}}",
+      "valid": "Geldig",
+      "failed": "Mislukt",
+      "notTested": "Niet getest",
+      "connectStream": "Verbinden",
+      "connectingStream": "Verbinden",
+      "disconnectStream": "Verbreek verbinding",
+      "estimatedBandwidth": "Geschatte bandbreedte",
+      "roles": "Rollen",
+      "ffmpegModule": "Gebruik stream-compatibiliteitsmodus",
+      "ffmpegModuleDescription": "Als de stream na meerdere pogingen niet wordt geladen, probeer dit dan in te schakelen. Wanneer deze optie is ingeschakeld, gebruikt Frigate de ffmpeg-module samen met go2rtc. Dit kan zorgen voor een betere compatibiliteit met sommige camerastreams.",
+      "none": "Geen",
+      "error": "Fout",
+      "streamValidated": "Stream {{number}} is succesvol gevalideerd",
+      "streamValidationFailed": "Stream {{number}} validatie mislukt",
+      "saveAndApply": "Nieuwe camera opslaan",
+      "saveError": "Ongeldige configuratie, Controleer uw instellingen.",
+      "issues": {
+        "title": "Streamvalidatie",
+        "videoCodecGood": "Videocodec is {{codec}}.",
+        "audioCodecGood": "Audiocodec is {{codec}}.",
+        "resolutionHigh": "Een resolutie van {{resolution}} kan leiden tot een verhoogd gebruik van systeembronnen.",
+        "resolutionLow": "Een resolutie van {{resolution}} kan te laag zijn voor betrouwbare detectie van kleine objecten.",
+        "noAudioWarning": "Geen audio gedetecteerd voor deze stream, opnames bevatten geen audio.",
+        "audioCodecRecordError": "De AAC-audiocodec is vereist om audio in opnames te ondersteunen.",
+        "audioCodecRequired": "Ter ondersteuning van audiodetectie is een audiostream vereist.",
+        "restreamingWarning": "Als u het aantal verbindingen met de camera voor de opnamestream vermindert, kan het CPU-gebruik iets toenemen.",
+        "brands": {
+          "reolink-rtsp": "Reolink RTSP wordt niet aanbevolen. Schakel HTTP in via de firmware-instellingen van de camera en start de wizard opnieuw.",
+          "reolink-http": "Reolink HTTP-streams moeten FFmpeg gebruiken voor een betere compatibiliteit. Schakel ‘stream-compatibiliteitsmodus’ in voor deze stream."
+        },
+        "dahua": {
+          "substreamWarning": "Substream 1 is beperkt tot een lage resolutie. Veel Dahua / Amcrest / EmpireTech camera’s ondersteunen extra substreams die in de instellingen van de camera ingeschakeld moeten worden. Het wordt aanbevolen deze streams te controleren en te gebruiken indien beschikbaar."
+        },
+        "hikvision": {
+          "substreamWarning": "Substream 1 is beperkt tot een lage resolutie. Veel Hikvision-camera’s ondersteunen extra substreams die in de instellingen van de camera ingeschakeld moeten worden. Het wordt aanbevolen deze streams te controleren en te gebruiken indien beschikbaar."
+        }
+      }
+    }
+  },
+  "cameraManagement": {
+    "title": "Camera’s beheren",
+    "addCamera": "Nieuwe camera toevoegen",
+    "editCamera": "Camera bewerken:",
+    "selectCamera": "Selecteer een camera",
+    "backToSettings": "Terug naar camera-instellingen",
+    "streams": {
+      "title": "Camera's in-/uitschakelen",
+      "desc": "Schakel een camera tijdelijk uit totdat Frigate opnieuw wordt gestart. Het uitschakelen van een camera stopt de verwerking van de streams van deze camera volledig door Frigate. Detectie, opname en foutopsporing zijn dan niet beschikbaar.<br /> <em>Let op: dit schakelt go2rtc-restreams niet uit.</em>"
+    },
+    "cameraConfig": {
+      "add": "Camera toevoegen",
+      "edit": "Camera bewerken",
+      "description": "Configureer de camera-instellingen, inclusief streaming-inputs en functies.",
+      "name": "Cameranaam",
+      "nameRequired": "Cameranaam is vereist",
+      "nameLength": "Cameranaam mag niet langer zijn dan 64 tekens.",
+      "namePlaceholder": "bijv. voordeur of achtertuin camera",
+      "enabled": "Ingeschakeld",
+      "ffmpeg": {
+        "inputs": "Streams-Input",
+        "path": "Streampad",
+        "pathRequired": "Streampad is vereist",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "Functie",
+        "rolesRequired": "Er is ten minste één functie vereist",
+        "rolesUnique": "Elke functie (audio, detecteren, opnemen) kan slechts aan één stream worden toegewezen",
+        "addInput": "Inputstream toevoegen",
+        "removeInput": "Inputstream verwijderen",
+        "inputsRequired": "Er is ten minste één stream-input vereist"
+      },
+      "go2rtcStreams": "go2C Streams",
+      "streamUrls": "Stream URLs",
+      "addUrl": "URL toevoegen",
+      "addGo2rtcStream": "Voeg go2rtc Stream toe",
+      "toast": {
+        "success": "Camera {{cameraName}} is succesvol opgeslagen"
+      }
+    }
+  },
+  "cameraReview": {
+    "title": "Camerabeoordelings-instellingen",
+    "object_descriptions": {
+      "title": "AI-gegenereerde objectomschrijvingen",
+      "desc": "AI-gegenereerde objectomschrijvingen tijdelijk uitschakelen voor deze camera. Wanneer uitgeschakeld, zullen omschrijvingen van gevolgde objecten op deze camera niet aangevraagd worden."
+    },
+    "review_descriptions": {
+      "title": "Generatieve-AI Beoordelingsbeschrijvingen",
+      "desc": "Tijdelijk generatieve-AI-beoordelingsbeschrijvingen voor deze camera in- of uitschakelen. Wanneer dit is uitgeschakeld, worden er geen door AI gegenereerde beschrijvingen opgevraagd voor beoordelingsitems van deze camera."
+    },
+    "review": {
+      "title": "Beoordeel",
+      "desc": "Schakel waarschuwingen en detecties voor deze camera tijdelijk in of uit totdat Frigate opnieuw wordt gestart. Wanneer uitgeschakeld, worden er geen nieuwe beoordelingsitems gegenereerd. ",
+      "alerts": "Meldingen ",
+      "detections": "Detecties "
+    },
+    "reviewClassification": {
+      "title": "Beoordelingsclassificatie",
+      "desc": "Frigate categoriseert beoordelingsitems als meldingen en detecties.Standaard worden alle <em>person</em>- en <em>car</em>-objecten als meldingen beschouwd. Je kunt de categorisatie verfijnen door zones te configureren waarin uitsluitend deze objecten gedetecteerd moeten worden.",
+      "noDefinedZones": "Voor deze camera zijn nog geen zones ingesteld.",
+      "objectAlertsTips": "Alle {{alertsLabels}}-objecten op {{cameraName}} worden weergegeven als meldingen.",
+      "zoneObjectAlertsTips": "Alle {{alertsLabels}}-objecten die zijn gedetecteerd in {{zone}} op {{cameraName}} worden weergegeven als meldingen.",
+      "objectDetectionsTips": "Alle {{detectionsLabels}}-objecten die op {{cameraName}} niet zijn gecategoriseerd, worden weergegeven als detecties ongeacht in welke zone ze zich bevinden.",
+      "zoneObjectDetectionsTips": {
+        "text": "Alle {{detectionsLabels}}-objecten die in {{zone}} op {{cameraName}} niet zijn gecategoriseerd, worden weergegeven als detecties.",
+        "notSelectDetections": "Alle {{detectionsLabels}}-objecten die in {{zone}} op {{cameraName}} worden gedetecteerd en niet als melding zijn gecategoriseerd, worden weergegeven als detecties – ongeacht in welke zone ze zich bevinden.",
+        "regardlessOfZoneObjectDetectionsTips": "Alle {{detectionsLabels}}-objecten die op {{cameraName}} niet zijn gecategoriseerd, worden weergegeven als detecties ongeacht in welke zone ze zich bevinden."
+      },
+      "unsavedChanges": "Niet-opgeslagen classificatie-instellingen voor {{camera}}",
+      "selectAlertsZones": "Zones selecteren voor meldingen",
+      "selectDetectionsZones": "Selecteer zones voor detecties",
+      "limitDetections": "Beperk detecties tot specifieke zones",
+      "toast": {
+        "success": "Configuratie voor beoordelingsclassificatie is opgeslagen. Herstart Frigate om de wijzigingen toe te passen."
+      }
+    }
   }
 }
diff --git a/web/public/locales/nl/views/system.json b/web/public/locales/nl/views/system.json
index 2a0fe9e8d..73ba194d0 100644
--- a/web/public/locales/nl/views/system.json
+++ b/web/public/locales/nl/views/system.json
@@ -75,12 +75,24 @@
       "gpuEncoder": "GPU Encodeerder",
       "gpuMemory": "GPU-geheugen",
       "npuUsage": "NPU-gebruik",
-      "npuMemory": "NPU-geheugen"
+      "npuMemory": "NPU-geheugen",
+      "intelGpuWarning": {
+        "title": "Waarschuwing Intel GPU-statistieken",
+        "message": "GPU-statistieken niet beschikbaar",
+        "description": "Dit is een bekend probleem in de GPU-statistiekentools van Intel (intel_gpu_top). Deze raken defect en geven herhaaldelijk een GPU-gebruik van 0% weer, zelfs wanneer hardware-acceleratie en objectdetectie correct draaien op de (i)GPU. Dit is geen bug in Frigate. Je kunt de host opnieuw opstarten om het tijdelijk op te lossen en te controleren dat de GPU goed werkt. Dit heeft geen invloed op de prestaties."
+      }
     },
     "otherProcesses": {
       "processMemoryUsage": "Process Geheugen Gebruik",
       "processCpuUsage": "Process CPU-verbruik",
-      "title": "Verdere Processen"
+      "title": "Verdere Processen",
+      "series": {
+        "go2rtc": "go2rtc",
+        "recording": "opname",
+        "review_segment": "beoordelingssegment",
+        "embeddings": "inbeddingen",
+        "audio_detector": "Geluidsdetector"
+      }
     },
     "title": "Algemeen"
   },
@@ -181,7 +193,17 @@
       "face_recognition": "Gezichtsherkenning",
       "yolov9_plate_detection_speed": "YOLOv9 Kentekenplaat Detectiesnelheid",
       "yolov9_plate_detection": "YOLOv9 Kentekenplaatdetectie",
-      "plate_recognition": "Kentekenherkenning"
-    }
+      "plate_recognition": "Kentekenherkenning",
+      "review_description": "Beoordelingsbeschrijving",
+      "review_description_speed": "Snelheid beoordelingsbeschrijving",
+      "review_description_events_per_second": "Beoordelingsbeschrijving",
+      "object_description": "Objectbeschrijving",
+      "object_description_speed": "Objectbeschrijvingssnelheid",
+      "object_description_events_per_second": "Objectbeschrijving",
+      "classification": "{{name}} Classificatie",
+      "classification_speed": "{{name}} Classificatiesnelheid",
+      "classification_events_per_second": "{{name}} Classificatie gebeurtenissen per seconde"
+    },
+    "averageInf": "Gemiddelde inferentietijd"
   }
 }
diff --git a/web/public/locales/peo/audio.json b/web/public/locales/peo/audio.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/audio.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/common.json b/web/public/locales/peo/common.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/common.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/components/auth.json b/web/public/locales/peo/components/auth.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/components/auth.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/components/camera.json b/web/public/locales/peo/components/camera.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/components/camera.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/components/dialog.json b/web/public/locales/peo/components/dialog.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/components/dialog.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/components/filter.json b/web/public/locales/peo/components/filter.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/components/filter.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/components/icons.json b/web/public/locales/peo/components/icons.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/components/icons.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/components/input.json b/web/public/locales/peo/components/input.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/components/input.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/components/player.json b/web/public/locales/peo/components/player.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/components/player.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/objects.json b/web/public/locales/peo/objects.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/objects.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/views/classificationModel.json b/web/public/locales/peo/views/classificationModel.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/views/classificationModel.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/views/configEditor.json b/web/public/locales/peo/views/configEditor.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/views/configEditor.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/views/events.json b/web/public/locales/peo/views/events.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/views/events.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/views/explore.json b/web/public/locales/peo/views/explore.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/views/explore.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/views/exports.json b/web/public/locales/peo/views/exports.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/views/exports.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/views/faceLibrary.json b/web/public/locales/peo/views/faceLibrary.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/views/faceLibrary.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/views/live.json b/web/public/locales/peo/views/live.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/views/live.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/views/recording.json b/web/public/locales/peo/views/recording.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/views/recording.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/views/search.json b/web/public/locales/peo/views/search.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/views/search.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/views/settings.json b/web/public/locales/peo/views/settings.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/views/settings.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/peo/views/system.json b/web/public/locales/peo/views/system.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/peo/views/system.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/pl/audio.json b/web/public/locales/pl/audio.json
index 62cd7b465..4d8e1f28d 100644
--- a/web/public/locales/pl/audio.json
+++ b/web/public/locales/pl/audio.json
@@ -124,7 +124,7 @@
   "zither": "Cytra",
   "ukulele": "Ukulele",
   "keyboard": "Klawiatura",
-  "rimshot": "Rimshot",
+  "rimshot": "Uderzenie w obręcz",
   "drum_roll": "Werbel (tremolo)",
   "bass_drum": "Bęben basowy",
   "timpani": "Kotły",
@@ -168,14 +168,14 @@
   "didgeridoo": "Didgeridoo",
   "theremin": "Theremin",
   "singing_bowl": "Misa dźwiękowa",
-  "scratching": "Scratching",
+  "scratching": "Drapanie",
   "pop_music": "Muzyka pop",
   "hip_hop_music": "Muzyka hip-hopowa",
   "beatboxing": "Beatbox",
   "rock_music": "Muzyka rockowa",
   "heavy_metal": "Heavy metal",
   "punk_rock": "Punk rock",
-  "grunge": "Grunge",
+  "grunge": "Paskudztwo",
   "progressive_rock": "Rock progresywny",
   "rock_and_roll": "Rock and roll",
   "psychedelic_rock": "Rock psychodeliczny",
@@ -425,5 +425,79 @@
   "pulleys": "Bloczki",
   "sanding": "Szlifowanie",
   "clock": "Zegar",
-  "tick": "Tykanie"
+  "tick": "Tykanie",
+  "sodeling": "Sodeling",
+  "liquid": "Płyn",
+  "splash": "Plusk",
+  "slosh": "Rozchlapywanie",
+  "squish": "Ściskanie",
+  "drip": "Kapanie",
+  "pour": "Wlewanie",
+  "spray": "Pryskanie",
+  "pump": "Pompowanie",
+  "stir": "Mieszanie",
+  "boiling": "Gotowanie",
+  "arrow": "Strzała",
+  "breaking": "Łamanie",
+  "bouncing": "Odbijanie",
+  "beep": "Pisk",
+  "clicking": "Klikanie",
+  "inside": "Wewnątrz",
+  "outside": "Na zewnątrz",
+  "chird": "Child",
+  "change_ringing": "Zmienny dzwonek",
+  "shofar": "Shofar",
+  "trickle": "Trickle",
+  "gush": "Wylew",
+  "fill": "Napełnianie",
+  "sonar": "Sonar",
+  "whoosh": "Szybki ruch",
+  "thump": "Uderzenie",
+  "thunk": "Odgłos uderzenia",
+  "electronic_tuner": "Tuner elektroniczny",
+  "effects_unit": "Moduł efektów",
+  "chorus_effect": "Efekt chóru",
+  "basketball_bounce": "Odbijanie piłki",
+  "bang": "Bum",
+  "slap": "Policzkowanie",
+  "whack": "Uderzyć",
+  "smash": "Rozbić",
+  "whip": "Bicz",
+  "flap": "Klapa",
+  "scratch": "Zdrapywanie",
+  "scrape": "Skrobać",
+  "rub": "Pocierać",
+  "roll": "Rolować",
+  "crushing": "Rozbijać",
+  "crumpling": "Zgniatanie",
+  "tearing": "Rozrywanie",
+  "ping": "Ping",
+  "ding": "Dzwonienie",
+  "clang": "Brzdęk",
+  "squeal": "Piszczenie",
+  "creak": "Skrzypieć",
+  "rustle": "Szelest",
+  "whir": "Świst",
+  "clatter": "Stukot",
+  "sizzle": "Sizzle",
+  "clickety_clack": "Klik-klak",
+  "rumble": "Grzmot",
+  "plop": "Plop",
+  "hum": "Szum",
+  "zing": "Zing",
+  "boing": "Odbicie",
+  "crunch": "Chrupnięcie",
+  "sine_wave": "Sinusoida",
+  "harmonic": "Harmoniczna",
+  "chirp_tone": "Ustawianie tonów",
+  "pulse": "Puls",
+  "reverberation": "Pogłos",
+  "echo": "Echo",
+  "noise": "Hałas",
+  "mains_hum": "Szum sieciowy",
+  "distortion": "Zniekształcenie",
+  "sidetone": "Sygnał zwrotny",
+  "throbbing": "Pulsowanie",
+  "vibration": "Wibracja",
+  "cacophony": "Kakofonia"
 }
diff --git a/web/public/locales/pl/common.json b/web/public/locales/pl/common.json
index 058c74733..dbf1576a0 100644
--- a/web/public/locales/pl/common.json
+++ b/web/public/locales/pl/common.json
@@ -22,18 +22,18 @@
     "yesterday": "Wczoraj",
     "pm": "po południu",
     "am": "przed południem",
-    "yr": "{{time}}r.",
+    "yr": "{{time}}r",
     "year_one": "{{time}} rok",
     "year_few": "{{time}} lata",
     "year_many": "{{time}} lat",
-    "mo": "{{time}}m.",
-    "d": "{{time}}d.",
+    "mo": "{{time}}m",
+    "d": "{{time}}d",
     "day_one": "{{time}} dzień",
     "day_few": "{{time}} dni",
     "day_many": "{{time}} dni",
-    "h": "{{time}}godz.",
-    "m": "{{time}}min.",
-    "s": "{{time}}s.",
+    "h": "{{time}}godz",
+    "m": "{{time}}min",
+    "s": "{{time}}s",
     "month_one": "{{time}} miesiąc",
     "month_few": "{{time}} miesiące",
     "month_many": "{{time}} miesięcy",
@@ -87,7 +87,10 @@
     "formattedTimestampMonthDayYear": {
       "12hour": "d MMMM yyyy",
       "24hour": "d MMMM yyyy"
-    }
+    },
+    "inProgress": "W trakcie",
+    "invalidStartTime": "Nieprawidłowy czas rozpoczęcia",
+    "invalidEndTime": "Nieprawidłowy czas zakończenia"
   },
   "unit": {
     "speed": {
@@ -97,10 +100,23 @@
     "length": {
       "feet": "stopy",
       "meters": "metry"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/godz",
+      "mbph": "MB/godz",
+      "gbph": "GB/godz"
     }
   },
   "label": {
-    "back": "Wróć"
+    "back": "Wróć",
+    "hide": "Ukryj {{item}}",
+    "show": "Pokaż {{item}}",
+    "ID": "ID",
+    "none": "Brak",
+    "all": "Wszystko"
   },
   "button": {
     "apply": "Zastosuj",
@@ -137,7 +153,8 @@
     "cameraAudio": "Dźwięk kamery",
     "off": "WYŁĄCZ",
     "edit": "Edytuj",
-    "copyCoordinates": "Kopiuj współrzędne"
+    "copyCoordinates": "Kopiuj współrzędne",
+    "continue": "Kontynuuj"
   },
   "menu": {
     "system": "System",
@@ -239,7 +256,8 @@
     "configurationEditor": "Edytor konfiguracji",
     "help": "Pomoc",
     "settings": "Ustawienia",
-    "export": "Eksportuj"
+    "export": "Eksportuj",
+    "classification": "Klasyfikacja"
   },
   "role": {
     "viewer": "Przeglądający",
@@ -280,5 +298,17 @@
       "title": "Zapisz"
     }
   },
-  "readTheDocumentation": "Przeczytaj dokumentację"
+  "readTheDocumentation": "Przeczytaj dokumentację",
+  "information": {
+    "pixels": "{{area}}px"
+  },
+  "list": {
+    "two": "{{0}} i {{1}}",
+    "many": "{{items}}, oraz {{last}}",
+    "separatorWithSpace": "; "
+  },
+  "field": {
+    "optional": "Opcjonalny",
+    "internalID": "Wewnętrzny identyfikator używany przez Frigate w konfiguracji i bazie danych"
+  }
 }
diff --git a/web/public/locales/pl/components/auth.json b/web/public/locales/pl/components/auth.json
index 094e0ca97..12aba0fb6 100644
--- a/web/public/locales/pl/components/auth.json
+++ b/web/public/locales/pl/components/auth.json
@@ -10,6 +10,7 @@
       "unknownError": "Nieznany błąd. Sprawdź logi.",
       "webUnknownError": "Nieznany błąd. Sprawdź konsolę.",
       "rateLimit": "Przekroczono limit częstotliwości. Spróbuj ponownie później."
-    }
+    },
+    "firstTimeLogin": "Próbujesz się zalogować po raz pierwszy? Dane logowania są dostępne w logach Frigate."
   }
 }
diff --git a/web/public/locales/pl/components/dialog.json b/web/public/locales/pl/components/dialog.json
index 2066a667d..24842e140 100644
--- a/web/public/locales/pl/components/dialog.json
+++ b/web/public/locales/pl/components/dialog.json
@@ -65,12 +65,13 @@
     "export": "Eksportuj",
     "selectOrExport": "Wybierz lub Eksportuj",
     "toast": {
-      "success": "Pomyślnie rozpoczęto eksport. Zobacz plik w folderze /exports.",
+      "success": "Pomyślnie rozpoczęto eksport. Zobacz plik na stronie eksportów.",
       "error": {
         "failed": "Nie udało się rozpocząć eksportu: {{error}}",
         "endTimeMustAfterStartTime": "Czas zakończenia musi być późniejszy niż czas rozpoczęcia",
         "noVaildTimeSelected": "Nie wybrano prawidłowego zakresu czasu"
-      }
+      },
+      "view": "Widok"
     },
     "fromTimeline": {
       "saveExport": "Zapisz Eksport",
@@ -81,7 +82,8 @@
     "button": {
       "markAsReviewed": "Oznacz jako sprawdzone",
       "deleteNow": "Usuń teraz",
-      "export": "Eksportuj"
+      "export": "Eksportuj",
+      "markAsUnreviewed": "Oznacz jako niesprawdzone"
     },
     "confirmDelete": {
       "title": "Potwierdź Usunięcie",
@@ -128,6 +130,7 @@
     "search": {
       "placeholder": "Wyszukaj po etykiecie (label) lub etykiecie potomnej (sub label)..."
     },
-    "noImages": "Brak miniatur dla tej kamery"
+    "noImages": "Brak miniatur dla tej kamery",
+    "unknownLabel": "Zapisany obraz wyzwalacza"
   }
 }
diff --git a/web/public/locales/pl/components/filter.json b/web/public/locales/pl/components/filter.json
index b604c98c2..7de30b2dd 100644
--- a/web/public/locales/pl/components/filter.json
+++ b/web/public/locales/pl/components/filter.json
@@ -132,5 +132,9 @@
     },
     "count_one": "{{count}} Klasa",
     "count_other": "{{count}} Klas(y)"
+  },
+  "attributes": {
+    "all": "Wszystkie atrybuty",
+    "label": "Atrybuty klasyfikacji"
   }
 }
diff --git a/web/public/locales/pl/views/classificationModel.json b/web/public/locales/pl/views/classificationModel.json
new file mode 100644
index 000000000..c68baf133
--- /dev/null
+++ b/web/public/locales/pl/views/classificationModel.json
@@ -0,0 +1,193 @@
+{
+  "documentTitle": "Modele klasyfikacji - Frigate",
+  "button": {
+    "deleteClassificationAttempts": "Usuń obrazy klasyfikacyjne",
+    "renameCategory": "Zmień nazwę klasy",
+    "deleteCategory": "Usuń klasyfikację",
+    "deleteImages": "Usuń obrazy",
+    "trainModel": "Trenuj model",
+    "addClassification": "Dodaj klasyfikację",
+    "deleteModels": "Usuń modele",
+    "editModel": "Edytuj model"
+  },
+  "details": {
+    "scoreInfo": "Wynik przedstawia średnią pewność klasyfikacji wszystkich wykryć danego obiektu.",
+    "none": "Brak",
+    "unknown": "Nieznany"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Usunięte klasy",
+      "deletedImage": "Usunięte obrazy",
+      "deletedModel_one": "Pomyślenie usunięto {{count}} model",
+      "deletedModel_few": "Pomyślenie usunięto {{count}} modele",
+      "deletedModel_many": "Pomyślenie usunięto {{count}} modeli",
+      "categorizedImage": "Obraz pomyślnie sklasyfikowany",
+      "trainedModel": "Model pomyślnie wytrenowany.",
+      "trainingModel": "Pomyślnie uruchomiono trenowanie modelu.",
+      "updatedModel": "Pomyślnie zaktualizowane ustawienia modelu",
+      "renamedCategory": "Pomyślnie zmieniono nazwę klasy na {{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "Nie udało się usunąć: {{errorMessage}}",
+      "deleteCategoryFailed": "Nie udało się usunąć klasy: {{errorMessage}}",
+      "deleteModelFailed": "Nie udało się usunąć modelu: {{errorMessage}}",
+      "categorizeFailed": "Nie udało się skategoryzować obrazka: {{errorMessage}}",
+      "trainingFailed": "Trening modelu zakończył się niepowodzeniem. Sprawdź logi Frigate aby uzyskać więcej informacji.",
+      "updateModelFailed": "Nie udało się zaktualizować modelu: {{errorMessage}}",
+      "trainingFailedToStart": "Nie udało się rozpocząć trenowania modelu: {{errorMessage}}",
+      "renameCategoryFailed": "Nie udało się zmienić nazwy klasy: {{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "Usuń klasę",
+    "desc": "Czy na pewno chcesz usunąć klasę {{name}}? Spowoduje to trawałe usunięcie wszystkich powiązanych obrazków i konieczność ponownego trenowania modelu.",
+    "minClassesTitle": "Nie można usunąć kategorii",
+    "minClassesDesc": "Model klasyfikacyjny musi posiadać co najmniej dwie kategorie. Dodaj inną kategorię aby możliwe było usunięcie tej kategorii."
+  },
+  "deleteModel": {
+    "title": "Usuń model klasyfikacji",
+    "single": "Czy na pewno chcesz usunąć {{name}}? Spowoduje to trwałe usunięcie wszystkich powiązanych data włącznie z obrazkami i danymi treningowymi. Nie można cofnąć tej operacji.",
+    "desc_one": "Czy na pewno chcesz usunąć {{count}} model? Spowoduje to trwałe usunięcie wszystkich powiązanych danych, włącznie z obrazami i danymi treningowymi. Nie można cofnąć tej operacji.",
+    "desc_few": "Czy na pewno chcesz usunąć {{count}} modele? Spowoduje to trwałe usunięcie wszystkich powiązanych danych, włącznie z obrazami i danymi treningowymi. Nie można cofnąć tej operacji.",
+    "desc_many": "Czy na pewno chcesz usunąć {{count}} modeli? Spowoduje to trwałe usunięcie wszystkich powiązanych danych, włącznie z obrazami i danymi treningowymi. Nie można cofnąć tej operacji."
+  },
+  "edit": {
+    "title": "Edytuj model klasyfikacji",
+    "descriptionObject": "Zmień typ obiektu i kryteria dla tego modelu klasyfikacji.",
+    "stateClassesInfo": "Uwaga: Zmiana typu klasyfikacji wymaga treningu nowego modelu.",
+    "descriptionState": "Edycja klas dla tego modelu klasyfikacji stanu. Zmiany będą wymagały przekwalifikowania modelu."
+  },
+  "tooltip": {
+    "trainingInProgress": "Trwa trenowanie modelu",
+    "modelNotReady": "Mode nie jest gotowy do trenowania",
+    "noChanges": "Brak zmian w zbiorze danych od czasu ostatniego treningu.",
+    "noNewImages": "Nie ma więcej obrazów do trenowania. Zaklasyfikuj więcej obrazów do zbioru danych."
+  },
+  "deleteDatasetImages": {
+    "title": "Usuń obrazy z puli danych",
+    "desc_one": "Czy na pewno chcesz usunąć {{count}} obraz z {{dataset}}? Ta akcja nie może zostać cofnięta i będzie wymagała przetrenowania modelu.",
+    "desc_few": "Czy na pewno chcesz usunąć obrazy {{count}} z {{dataset}}? Ta akcja nie może zostać cofnięta i będzie wymagała przetrenowania modelu.",
+    "desc_many": "Czy na pewno chcesz usunąć obrazy {{count}} z {{dataset}}? Ta akcja nie może zostać cofnięta i będzie wymagała przetrenowania modelu."
+  },
+  "renameCategory": {
+    "title": "Zmień nazwę klasy",
+    "desc": "Wprowadź nową nazwę dla {{name}}. Zastosowanie tej zmiany wymagać będzie treningu nowego modelu."
+  },
+  "description": {
+    "invalidName": "Niepoprawna nazwa. Nazwy mogą zawierać tylko: litery, cyfry, spacje, cudzysłowy, podkreślniniki i myślniki."
+  },
+  "train": {
+    "title": "Ostatnie Klasyfikacje",
+    "titleShort": "Ostatnie",
+    "aria": "Wybierz Najnowsze Klasyfikacje"
+  },
+  "createCategory": {
+    "new": "Stwórz nową klasyfikację"
+  },
+  "deleteTrainImages": {
+    "title": "Usuń obrazy pociągów",
+    "desc_one": "Czy na pewno chcesz usunąć {{count}} obraz? Tego działania nie da się cofnąć.",
+    "desc_few": "Czy na pewno chcesz usunąć obrazy {{count}}? Tego działania nie da się cofnąć.",
+    "desc_many": "Czy na pewno chcesz usunąć obrazy {{count}}? Tego działania nie da się cofnąć."
+  },
+  "categories": "Zajęcia",
+  "none": "Nic",
+  "categorizeImageAs": "Klasyfikuj Obraz Jako:",
+  "categorizeImage": "Klasyfikuj obraz",
+  "menu": {
+    "objects": "Obiekty",
+    "states": "Stany"
+  },
+  "noModels": {
+    "object": {
+      "title": "Brak modeli klasyfikacji obiektów",
+      "description": "Utwórz model niestandardowy do klasyfikacji wykrytych obiektów.",
+      "buttonText": "Tworzenie modelu obiektu"
+    },
+    "state": {
+      "title": "Brak państwowych modeli klasyfikacji",
+      "description": "Utwórz niestandardowy model do monitorowania i klasyfikacji zmian stanu w określonych obszarach kamery.",
+      "buttonText": "Utwórz model stanu"
+    }
+  },
+  "wizard": {
+    "title": "Tworzenie nowej klasyfikacji",
+    "steps": {
+      "nameAndDefine": "Nazwij i zdefiniuj",
+      "stateArea": "Obszar stanu",
+      "chooseExamples": "Wybierz przykłady"
+    },
+    "step1": {
+      "name": "Nazwa",
+      "type": "Typ",
+      "classes": "Klasy",
+      "errors": {
+        "noneNotAllowed": "Klasa 'żadne' jest niedozwolona",
+        "stateRequiresTwoClasses": "Modele stanowe wymagają co najmniej dwie klasy",
+        "objectLabelRequired": "Proszę wybrać etykietę obiektu",
+        "objectTypeRequired": "Proszę wybrać typ klasyfikacji",
+        "nameRequired": "Nazwa modelu jest wymagana",
+        "nameLength": "Nazwa modelu może mieć 64 znaki lub mniej",
+        "nameOnlyNumbers": "Nazwa modelu nie może być ciągiem cyfr",
+        "classRequired": "Przynajmniej jedna klasa jest wymagana",
+        "classesUnique": "Nazwa klasy musi być unikalna"
+      },
+      "classPlaceholder": "Wpisz nazwę klasy...",
+      "classesObjectDesc": "Zdefiniuj różne kategorie, do których będą klasyfikowane wykryte obiekty. Na przykład: 'dostawca', 'mieszkaniec', 'nieznajomy' w przypadku klasyfikacji osób.",
+      "description": "Modele stanowe monitorują stałe obszary kamer pod kątem zmian (np. otwarte/zamknięte drzwi). Modele obiektów dodają klasyfikacje do wykrytych obiektów (np. znane zwierzęta, dostawcy itp.).",
+      "namePlaceholder": "Wprowadź nazwę modelu...",
+      "typeState": "Stan",
+      "typeObject": "Obiekt",
+      "objectLabel": "Etykieta obiektu",
+      "objectLabelPlaceholder": "Wybierz typ obiektu...",
+      "classificationType": "Rodzaj klasyfikacji",
+      "classificationTypeTip": "Dowiedz się więcej o typach klasyfikacji",
+      "classificationTypeDesc": "Podetykiety dodają dodatkowy tekst do etykiety obiektu (np. 'Osoba: UPS'). Atrybuty to metadane, które można przeszukiwać, przechowywane oddzielnie w metadanych obiektu.",
+      "classificationSubLabel": "Podetykieta",
+      "classificationAttribute": "Atrybut",
+      "states": "Stany",
+      "classesTip": "Dowiedz się więcej o klasach obiektów",
+      "classesStateDesc": "Zdefiniuj różne stany, w jakich może znajdować się obszar objęty zasięgiem kamery. Na przykład: 'otwarte' i 'zamknięte' dla bramy garażowej."
+    },
+    "step2": {
+      "description": "Wybierz kamery i określ obszar monitorowania dla każdej z nich. Model sklasyfikuje stan tych obszarów.",
+      "cameras": "Kamery",
+      "selectCamera": "Wybierz kamerę",
+      "noCameras": "Kliknij +, aby dodać kamery",
+      "selectCameraPrompt": "Wybierz kamerę z listy, aby zdefiniować jej obszar monitorowania"
+    },
+    "step3": {
+      "selectImagesPrompt": "Zaznacz wszystkie obrazy z: {{className}}",
+      "selectImagesDescription": "Kliknij na zdjęcia, aby je wybrać. Po zakończeniu zajęć kliknij „Kontynuuj”.",
+      "allImagesRequired_one": "Proszę sklasyfikować wszystkie obrazy. Pozostał {{count}} obraz.",
+      "allImagesRequired_few": "Proszę sklasyfikować wszystkie obrazy. Pozostały {{count}} obrazy.",
+      "allImagesRequired_many": "Proszę sklasyfikować wszystkie obrazy. Pozostało {{count}} obrazów.",
+      "generating": {
+        "title": "Generowanie przykładowych obrazów",
+        "description": "Frigate pobiera reprezentatywne obrazy z Twoich nagrań. Może to chwilę potrwać..."
+      },
+      "trainingStarted": "Szkolenie rozpoczęło się pomyślnie",
+      "training": {
+        "title": "Model treningowy",
+        "description": "Twój model jest szkolony w tle. Zamknij to okno dialogowe, a model zacznie działać zaraz po zakończeniu szkolenia."
+      },
+      "retryGenerate": "Ponowne generowanie",
+      "noImages": "Nie wygenerowano przykładowych obrazów",
+      "classifying": "Klasyfikacja i szkolenie...",
+      "modelCreated": "Model został pomyślnie utworzony. Użyj widoku Ostatnie klasyfikacje, aby dodać obrazy dla brakujących stanów, a następnie wytrenuj model.",
+      "errors": {
+        "noCameras": "Brak skonfigurowanych kamer",
+        "noObjectLabel": "Nie wybrano żadnej etykiety obiektu",
+        "generateFailed": "Nie udało się wygenerować przykładów: {{error}}",
+        "generationFailed": "Generowanie nie powiodło się. Spróbuj ponownie.",
+        "classifyFailed": "Nie udało się sklasyfikować obrazów: {{error}}"
+      },
+      "generateSuccess": "Pomyślnie wygenerowane przykładowe obrazy",
+      "missingStatesWarning": {
+        "title": "Przykłady brakujących stanów",
+        "description": "Aby uzyskać najlepsze wyniki, zaleca się wybranie przykładów dla wszystkich stanów. Można kontynuować bez wybierania wszystkich stanów, ale model nie zostanie wytrenowany, dopóki wszystkie stany nie będą miały obrazów. Po kontynuowaniu należy użyć widoku Ostatnie klasyfikacje, aby sklasyfikować obrazy dla brakujących stanów, a następnie wytrenować model."
+      }
+    }
+  }
+}
diff --git a/web/public/locales/pl/views/events.json b/web/public/locales/pl/views/events.json
index 173ff277e..0ffc5419f 100644
--- a/web/public/locales/pl/views/events.json
+++ b/web/public/locales/pl/views/events.json
@@ -10,7 +10,11 @@
   "empty": {
     "alert": "Brak alertów do przejrzenia",
     "detection": "Brak detekcji do przejrzenia",
-    "motion": "Nie znaleziono danych o ruchu"
+    "motion": "Nie znaleziono danych o ruchu",
+    "recordingsDisabled": {
+      "title": "Nagrywanie musi być włączone",
+      "description": "Elementy przeglądu można tworzyć dla kamery tylko wtedy, gdy dla tej kamery włączono nagrywanie."
+    }
   },
   "timeline": "Oś czasu",
   "timeline.aria": "Wybierz oś czasu",
@@ -36,5 +40,28 @@
   "selected_other": "{{count}} wybrane",
   "detected": "wykryto",
   "suspiciousActivity": "Podejrzana aktywność",
-  "threateningActivity": "Niebezpieczne działania"
+  "threateningActivity": "Niebezpieczne działania",
+  "zoomIn": "Przybliż",
+  "zoomOut": "Oddal",
+  "detail": {
+    "label": "Szczegóły",
+    "noDataFound": "Brak szczegółów do przejrzenia",
+    "aria": "Przełącz widok szczegółów",
+    "trackedObject_one": "{{count}} obiekt",
+    "trackedObject_other": "{{count}} obiekty",
+    "noObjectDetailData": "Brak danych szczegółowych dla obiektu.",
+    "settings": "Ustawienia widoku szczegółów",
+    "alwaysExpandActive": {
+      "title": "Zawsze rozwiń aktywne",
+      "desc": "Zawsze rozwijaj szczegóły aktywnego obiektu, jeżeli są dostępne."
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Śledzony punkt",
+    "clickToSeek": "Kliknij aby przewinąć do tego miejsca"
+  },
+  "needsReview": "Wymaga manualnego sprawdzenia",
+  "normalActivity": "Normalne",
+  "select_all": "Wszystko",
+  "securityConcern": "Kwestie bezpieczeństwa"
 }
diff --git a/web/public/locales/pl/views/explore.json b/web/public/locales/pl/views/explore.json
index f96fba057..d18d065b8 100644
--- a/web/public/locales/pl/views/explore.json
+++ b/web/public/locales/pl/views/explore.json
@@ -21,13 +21,15 @@
           "regenerate": "Zażądano nowego opisu od {{provider}}. W zależności od szybkości twojego dostawcy, wygenerowanie nowego opisu może zająć trochę czasu.",
           "updatedSublabel": "Pomyślnie zaktualizowano podetykietę.",
           "updatedLPR": "Pomyślnie zaktualizowano tablicę rejestracyjną.",
-          "audioTranscription": "Wysłano prośbę o audio transkrypcję."
+          "audioTranscription": "Wysłano prośbę o audio transkrypcję. W zależności od szybkości serwera Frigate, transkrypcja może potrwać trochę czasu.",
+          "updatedAttributes": "Atrybuty zostały pomyślnie zaktualizowane."
         },
         "error": {
           "regenerate": "Nie udało się wezwać {{provider}} dla nowego opisu: {{errorMessage}}",
           "updatedSublabelFailed": "Nie udało się zaktualizować podetykiety: {{errorMessage}}",
           "updatedLPRFailed": "Nie udało się zaktualizować tablicy rejestracyjnej: {{errorMessage}}",
-          "audioTranscription": "Nie udało się włączyć audio transkrypcji: {{errorMessage}}"
+          "audioTranscription": "Nie udało się włączyć audio transkrypcji: {{errorMessage}}",
+          "updatedAttributesFailed": "Nie udało się zaktualizować atrybutów: {{errorMessage}}"
         }
       }
     },
@@ -75,6 +77,14 @@
     },
     "score": {
       "label": "Wynik"
+    },
+    "editAttributes": {
+      "title": "Edytuj atrybuty",
+      "desc": "Wybierz atrybuty klasyfikacji dla tego {{label}}"
+    },
+    "attributes": "Atrybuty klasyfikacji",
+    "title": {
+      "label": "Tytuł"
     }
   },
   "objectLifecycle": {
@@ -159,7 +169,9 @@
     "details": "szczegóły",
     "snapshot": "zrzut ekranu",
     "video": "wideo",
-    "object_lifecycle": "cykl życia obiektu"
+    "object_lifecycle": "cykl życia obiektu",
+    "thumbnail": "miniaturka",
+    "tracking_details": "szczegóły śledzenia"
   },
   "itemMenu": {
     "downloadSnapshot": {
@@ -196,6 +208,20 @@
     "audioTranscription": {
       "label": "Rozpisz",
       "aria": "Poproś o audiotranskrypcję"
+    },
+    "downloadCleanSnapshot": {
+      "label": "Pobierz czysty snapshot",
+      "aria": "Pobierz czysty snapshot"
+    },
+    "viewTrackingDetails": {
+      "label": "Wyświetl szczegóły śledzenia",
+      "aria": "Pokaż szczegóły śledzenia"
+    },
+    "showObjectDetails": {
+      "label": "Pokaż ścieżkę obiektu"
+    },
+    "hideObjectDetails": {
+      "label": "Ukryj ścieżkę obiektu"
     }
   },
   "trackedObjectsCount_one": "{{count}} śledzony obiekt ",
@@ -204,7 +230,7 @@
   "noTrackedObjects": "Nie znaleziono śledzonych obiektów",
   "dialog": {
     "confirmDelete": {
-      "desc": "Usunięcie tego śledzonego obiektu usuwa zrzut ekranu, wszelkie zapisane osadzenia i wszystkie powiązane wpisy cyklu życia obiektu. Nagrany materiał tego śledzonego obiektu w widoku Historii <em>NIE</em> zostanie usunięty.<br /><br />Czy na pewno chcesz kontynuować?",
+      "desc": "Usunięcie tego śledzonego obiektu usuwa zrzut ekranu, wszelkie zapisane osadzenia i wszystkie powiązane wpisy śledzenia obiektu. Nagrany materiał tego śledzonego obiektu w widoku Historii <em>NIE</em> zostanie usunięty.<br /><br />Czy na pewno chcesz kontynuować?",
       "title": "Potwierdź usunięcie"
     }
   },
@@ -216,7 +242,9 @@
         "error": "Nie udało się usunąć śledzonego obiektu: {{errorMessage}}"
       }
     },
-    "tooltip": "Pasuje do {{type}} z pewnością {{confidence}}%"
+    "tooltip": "Pasuje do {{type}} z pewnością {{confidence}}%",
+    "previousTrackedObject": "Poprzednio śledzony obiekt",
+    "nextTrackedObject": "Następny śledzony obiekt"
   },
   "exploreMore": "Odkryj więcej obiektów typu {{label}}",
   "aiAnalysis": {
@@ -224,5 +252,54 @@
   },
   "concerns": {
     "label": "Obawy"
+  },
+  "trackingDetails": {
+    "title": "Szczegóły śledzenia",
+    "noImageFound": "Nie znaleziono obrazka dla podanego czasu.",
+    "createObjectMask": "Utwórz maskę obiektu",
+    "adjustAnnotationSettings": "Dostosuj ustawienia adnotacji",
+    "scrollViewTips": "Kliknij, aby zobaczyć najważniejsze momenty cyklu życia tego obiektu.",
+    "count": "{{first}} z {{second}}",
+    "autoTrackingTips": "Pozycja znacznika obiektu jest niedokładna dla kamer z automatycznym śledzeniem.",
+    "lifecycleItemDesc": {
+      "visible": "Wykryto {{label}}",
+      "entered_zone": "{{label}} pojawił się w {{zones}}",
+      "active": "{{label}} poruszył się",
+      "stationary": "{{label}} zatrzymał się",
+      "attribute": {
+        "faceOrLicense_plate": "Wykryto {{attribute}} dla obiektu {{label}}",
+        "other": "{{label}} został rozpoznany jako {{attribute}}"
+      },
+      "gone": "Utracono śledzenie dla {{label}}",
+      "external": "Wykryto {{label}}",
+      "header": {
+        "zones": "Strefy",
+        "area": "Powierzchnia",
+        "score": "Wynik",
+        "ratio": "Proporcje"
+      },
+      "heard": "{{label}} słyszałem"
+    },
+    "annotationSettings": {
+      "title": "Ustawienia adnotacji",
+      "showAllZones": {
+        "title": "Pokaż wszystkie strefy",
+        "desc": "Pokazuj linie stref w momencie wejścia obiektu w strefę."
+      },
+      "offset": {
+        "label": "Przesunięcie adnotacji",
+        "desc": "Dane te pochodzą z kanału wykrywania kamery, ale są nakładane na obrazy z kanału nagrywania. Jest mało prawdopodobne, aby oba strumienie były idealnie zsynchronizowane. W rezultacie ramka ograniczająca i materiał filmowy nie będą idealnie dopasowane. Można użyć tego ustawienia, aby przesunąć adnotacje do przodu lub do tyłu w czasie, aby lepiej dopasować je do nagranego materiału filmowego.",
+        "millisecondsToOffset": "Milisekundy, po których wykrywane są adnotacje. <em>Domyślnie: 0</em>",
+        "tips": "Zmniejsz wartość, jeśli odtwarzanie wideo wyprzedza pola i punkty ścieżki, i zwiększ wartość, jeśli odtwarzanie wideo pozostaje w tyle. Wartość ta może być ujemna.",
+        "toast": {
+          "success": "Przesunięcie adnotacji dla {{camera}} zostało zapisane w pliku konfiguracyjnym."
+        }
+      }
+    },
+    "trackedPoint": "Śledzony Punkt",
+    "carousel": {
+      "previous": "Poprzedni slajd",
+      "next": "Następny slajd"
+    }
   }
 }
diff --git a/web/public/locales/pl/views/exports.json b/web/public/locales/pl/views/exports.json
index 954849a1a..b0d41bbc3 100644
--- a/web/public/locales/pl/views/exports.json
+++ b/web/public/locales/pl/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "Nie udało się zmienić nazwy eksportu: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Udostępnij eksport",
+    "downloadVideo": "Pobierz wideo",
+    "editName": "Edytuj nazwę",
+    "deleteExport": "Usuń eksport"
   }
 }
diff --git a/web/public/locales/pl/views/faceLibrary.json b/web/public/locales/pl/views/faceLibrary.json
index a10105faa..4bd3944f8 100644
--- a/web/public/locales/pl/views/faceLibrary.json
+++ b/web/public/locales/pl/views/faceLibrary.json
@@ -1,9 +1,9 @@
 {
   "selectItem": "Wybierz {{item}}",
   "description": {
-    "addFace": "Poznaj proces dodawania nowej kolekcji do biblioteki twarzy.",
+    "addFace": "Dodaj nową kolekcję do biblioteki twarzy, przesyłając swoje pierwsze zdjęcie.",
     "placeholder": "Wprowadź nazwę tej kolekcji",
-    "invalidName": "Nieprawidłowa nazwa. Nazwy mogą zawierać tylko litery, cyfry, spacje, apostrofy, podkreślenia oraz myślniki."
+    "invalidName": "Niepoprawna nazwa. Nazwy mogą zawierać tylko: litery, cyfry, spacje, cudzysłowy, podkreślniniki i myślniki."
   },
   "details": {
     "person": "Osoba",
@@ -24,12 +24,13 @@
     "title": "Utwórz kolekcję",
     "desc": "Utwórz nową kolekcję",
     "new": "Utwórz nową twarz",
-    "nextSteps": "Aby zbudować solidną podstawę: <li>Użyj zakładki Trenuj, aby wybrać i trenować na obrazach dla każdej wykrytej osoby.</li><li>Skup się na zdjęciach twarzy na wprost dla najlepszych wyników; unikaj trenowania na zdjęciach, które pokazują twarze pod kątem.</li></ul>"
+    "nextSteps": "Aby zbudować solidną podstawę: <li>Użyj zakładki Ostatnie rozpoznania, aby wybrać i trenować na obrazach dla każdej wykrytej osoby.</li><li>Skup się na zdjęciach twarzy na wprost dla najlepszych wyników; unikaj trenowania na zdjęciach, które pokazują twarze pod kątem.</li></ul>"
   },
   "train": {
-    "aria": "Wybierz trenowanie",
-    "title": "Trenuj",
-    "empty": "Nie podjęto ostatnio żadnych prób rozpoznawania twarzy"
+    "aria": "Wybierz ostatnio rozpoznane",
+    "title": "Ostatnie rozpoznania",
+    "empty": "Nie podjęto ostatnio żadnych prób rozpoznawania twarzy",
+    "titleShort": "Ostatnie"
   },
   "selectFace": "Wybierz twarz",
   "deleteFaceLibrary": {
@@ -63,7 +64,7 @@
       "uploadedImage": "Pomyślnie wgrano obraz.",
       "addFaceLibrary": "{{name}} został pomyślnie dodany do Biblioteki Twarzy!",
       "trainedFace": "Pomyślnie wytrenowano twarz.",
-      "updatedFaceScore": "Pomyślnie zaktualizowano wynik twarzy.",
+      "updatedFaceScore": "Pomyślnie zaktualizowano wynik twarzy do {{name}} {{score}}.",
       "renamedFace": "Pomyślnie zmieniono nazwę twarzy na {{name}}"
     },
     "error": {
diff --git a/web/public/locales/pl/views/live.json b/web/public/locales/pl/views/live.json
index e2ca8d9bd..417354f63 100644
--- a/web/public/locales/pl/views/live.json
+++ b/web/public/locales/pl/views/live.json
@@ -67,7 +67,7 @@
   },
   "manualRecording": {
     "title": "Nagrywanie na żądanie",
-    "tips": "Rozpocznij ręczne zdarzenie w oparciu o ustawienia przechowywania nagrań tej kamery.",
+    "tips": "Ręcznie rozpocznij zdarzenie w oparciu o ustawienia przechowywania nagrań tej kamery.",
     "playInBackground": {
       "label": "Odtwarzaj w tle",
       "desc": "Włącz tę opcję, aby kontynuować transmisję, gdy odtwarzacz jest ukryty."
@@ -113,6 +113,9 @@
     "playInBackground": {
       "tips": "Włącz tę opcję, aby kontynuować transmisję, gdy odtwarzacz jest ukryty.",
       "label": "Odtwarzaj w tle"
+    },
+    "debug": {
+      "picker": "Wybór strumienia jest niedostępny w trybie debug. Widok w trybie debug zawsze pokazuje strumień przypisany do detektora."
     }
   },
   "cameraSettings": {
@@ -167,5 +170,20 @@
   "transcription": {
     "enable": "Włącz audio transkrypcję na żywo",
     "disable": "Wyłącz audio transkrypcję na żywo"
+  },
+  "noCameras": {
+    "buttonText": "Dodaj kamerę",
+    "description": "Zacznij od podłączenia kamery do Frigate.",
+    "title": "Nie skonfigurowano żadnej kamery",
+    "restricted": {
+      "title": "Brak dostępnych kamer",
+      "description": "Nie masz uprawnień aby przeglądać kamery w tej grupie."
+    }
+  },
+  "snapshot": {
+    "takeSnapshot": "Pobierz miniaturę",
+    "captureFailed": "Nie udało się wykonać migawki.",
+    "downloadStarted": "Pobieranie migawki rozpoczęte.",
+    "noVideoSource": "Brak źródeł video dostępnych do wykonania migawki."
   }
 }
diff --git a/web/public/locales/pl/views/search.json b/web/public/locales/pl/views/search.json
index 175b42a80..9de364f59 100644
--- a/web/public/locales/pl/views/search.json
+++ b/web/public/locales/pl/views/search.json
@@ -26,7 +26,8 @@
       "after": "Po",
       "search_type": "Typ wyszukiwania",
       "time_range": "Zakres czasu",
-      "before": "Przed"
+      "before": "Przed",
+      "attributes": "Właściwości"
     },
     "searchType": {
       "thumbnail": "Miniatura",
diff --git a/web/public/locales/pl/views/settings.json b/web/public/locales/pl/views/settings.json
index d2852b7ec..dfc74b7dc 100644
--- a/web/public/locales/pl/views/settings.json
+++ b/web/public/locales/pl/views/settings.json
@@ -10,7 +10,10 @@
     "motionTuner": "Konfigurator Ruchu",
     "debug": "Debugowanie",
     "enrichments": "Wzbogacenia",
-    "triggers": "Wyzwalacze"
+    "triggers": "Wyzwalacze",
+    "roles": "Role",
+    "cameraManagement": "Zarządzanie",
+    "cameraReview": "Przegląd"
   },
   "dialog": {
     "unsavedChanges": {
@@ -23,7 +26,7 @@
     "noCamera": "Brak Kamery"
   },
   "general": {
-    "title": "Ustawienia Ogólne",
+    "title": "Ustawienia interfejsu użytkownika",
     "storedLayouts": {
       "title": "Zapisane Układy",
       "clearAll": "Wyczyść Wszystkie Układy",
@@ -47,6 +50,14 @@
       "playAlertVideos": {
         "label": "Odtwarzaj Filmy Alarmowe",
         "desc": "Domyślnie, ostatnie alerty na panelu Na Żywo są odtwarzane jako małe zapętlone filmy. Wyłącz tę opcję, aby pokazywać tylko statyczny obraz ostatnich alertów na tym urządzeniu/przeglądarce."
+      },
+      "displayCameraNames": {
+        "label": "Zawsze pokazuj nazwy kamer",
+        "desc": "Zawsze pokazuj nazwę kamery w widoku wielu kamer."
+      },
+      "liveFallbackTimeout": {
+        "label": "Przekroczono czas oczekiwania dla strumienia",
+        "desc": "W wypadku utraty strumienia wysokiej jakości, użyj trybu niskiej przepustowości po X sekund od utracenia połączenia. Sugerowana wartość: 3."
       }
     },
     "cameraGroupStreaming": {
@@ -78,12 +89,14 @@
     "masksAndZones": "Edytor Masek i Stref - Frigate",
     "frigatePlus": "Ustawienia Frigate+ - Frigate",
     "classification": "Ustawienia Klasyfikacji - Frigate",
-    "general": "Ustawienia Ogólne - Frigate",
+    "general": "Ustawienia Interfejsu - Frigate",
     "authentication": "Ustawienia Uwierzytelniania - Frigate",
     "motionTuner": "Konfigurator Ruchu - Frigate",
     "object": "Debug - Frigate",
     "notifications": "Ustawienia powiadomień - Frigate",
-    "enrichments": "Ustawienia wzbogacania - Frigate"
+    "enrichments": "Ustawienia wzbogacania - Frigate",
+    "cameraManagement": "Zarządzanie kamerami – Frigate",
+    "cameraReview": "Ustawienia przeglądu kamer - Frigate"
   },
   "classification": {
     "title": "Ustawienia Klasyfikacji",
@@ -229,7 +242,8 @@
           "mustNotBeSameWithCamera": "Nazwa strefy nie może być taka sama jak nazwa kamery.",
           "alreadyExists": "Strefa z tą nazwą już istnieje dla tej kamery.",
           "hasIllegalCharacter": "Nazwa strefy zawiera niedozwolone znaki.",
-          "mustNotContainPeriod": "Nazwa strefy nie może zawierać kropki."
+          "mustNotContainPeriod": "Nazwa strefy nie może zawierać kropki.",
+          "mustHaveAtLeastOneLetter": "Nazwa strefy musi zawierać co najmniej jedną literę."
         }
       },
       "distance": {
@@ -285,7 +299,7 @@
       "name": {
         "title": "Nazwa",
         "inputPlaceHolder": "Wprowadź nazwę…",
-        "tips": "Nazwa musi mieć co najmniej 2 znaki i nie może być taka sama jak nazwa kamery lub innej strefy."
+        "tips": "Nazwa musi mieć co najmniej 1 znak i nie może być taka sama jak nazwa kamery lub innej strefy."
       },
       "objects": {
         "title": "Obiekty",
@@ -323,7 +337,7 @@
         "lineDDistance": "Odległość linii D ({{unit}})"
       },
       "toast": {
-        "success": "Strefa ({{zoneName}}) została zapisana. Uruchom ponownie Frigate, aby zastosować zmiany."
+        "success": "Strefa ({{zoneName}}) została zapisana."
       }
     },
     "motionMasks": {
@@ -344,8 +358,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} został zapisany. Uruchom ponownie Frigate, aby zastosować zmiany.",
-          "noName": "Maska Ruchu została zapisana. Uruchom ponownie Frigate, aby zastosować zmiany."
+          "title": "{{polygonName}} został zapisany.",
+          "noName": "Maska Ruchu została zapisana."
         }
       },
       "label": "Maska ruchu",
@@ -358,8 +372,8 @@
     "objectMasks": {
       "toast": {
         "success": {
-          "title": "{{polygonName}} został zapisany. Uruchom ponownie Frigate aby wprowadzić zmiany.",
-          "noName": "Maska Obiektu została zapisana. Uruchom ponownie Frigate, aby zastosować zmiany."
+          "title": "{{polygonName}} został zapisany.",
+          "noName": "Maska Obiektu została zapisana."
         }
       },
       "objects": {
@@ -478,7 +492,7 @@
   },
   "users": {
     "addUser": "Dodaj Użytkownika",
-    "updatePassword": "Aktualizuj Hasło",
+    "updatePassword": "Resetuj Hasło",
     "toast": {
       "success": {
         "createUser": "Użytkownik {{user}} został utworzony pomyślnie",
@@ -499,7 +513,7 @@
       "role": "Rola",
       "noUsers": "Nie znaleziono użytkowników.",
       "changeRole": "Zmień rolę użytkownika",
-      "password": "Hasło",
+      "password": "Resetuj hasło",
       "deleteUser": "Usuń użytkownika"
     },
     "dialog": {
@@ -524,7 +538,16 @@
           },
           "title": "Hasło",
           "placeholder": "Wprowadź hasło",
-          "notMatch": "Hasła nie pasują"
+          "notMatch": "Hasła nie pasują",
+          "show": "Pokaż hasło",
+          "hide": "Ukryj hasło",
+          "requirements": {
+            "title": "Wymagania hasła:",
+            "length": "Co najmniej 8 znaków",
+            "uppercase": "Co najmniej jedna duża litera",
+            "digit": "Co najmniej jedna cyfra",
+            "special": "Co najmniej jeden znak specjalny (!@#$%^&*(),.?\":{}|<>)"
+          }
         },
         "newPassword": {
           "placeholder": "Wprowadź nowe hasło",
@@ -534,7 +557,11 @@
           }
         },
         "usernameIsRequired": "Nazwa użytkownika jest wymagana",
-        "passwordIsRequired": "Hasło jest wymagane"
+        "passwordIsRequired": "Hasło jest wymagane",
+        "currentPassword": {
+          "title": "Aktualne hasło",
+          "placeholder": "Wprowadź aktualne hasło"
+        }
       },
       "changeRole": {
         "desc": "Aktualizuj uprawnienia dla <strong>{{username}}</strong>",
@@ -565,7 +592,12 @@
         "setPassword": "Ustaw hasło",
         "desc": "Utwórz silne hasło, aby zabezpieczyć to konto.",
         "cannotBeEmpty": "Hasło nie może być puste",
-        "doNotMatch": "Hasła nie pasują do siebie"
+        "doNotMatch": "Hasła nie pasują do siebie",
+        "currentPasswordRequired": "Wymagane jest aktualne hasło",
+        "incorrectCurrentPassword": "Aktualne hasło jest nieprawidłowe",
+        "passwordVerificationFailed": "Nie udało się zweryfikować hasła",
+        "multiDeviceWarning": "Wszystkie inne urządzenia, na których jesteś zalogowany, będą wymagały ponownego zalogowania się w ciągu {{refresh_time}}.",
+        "multiDeviceAdmin": "Możesz również wymusić natychmiastowe ponowne uwierzytelnienie wszystkich użytkowników poprzez zmianę sekretu JWT."
       }
     },
     "management": {
@@ -755,7 +787,9 @@
         "createRole": "Utworzono rolę {{role}}",
         "updateCameras": "Zaktualizowano kamery dla roli {{role}}",
         "deleteRole": "Rola {{role}} została usunięta",
-        "userRolesUpdated": "{{count}} użytkowników przypisanych do tej roli zostało zaktualizowanych do roli 'viewer', która ma dostęp do wszystkich kamer."
+        "userRolesUpdated_one": "{{count}} użytkowników przypisanych do tej roli zostało zaktualizowanych do roli 'viewer', która ma dostęp do wszystkich kamer.",
+        "userRolesUpdated_few": "",
+        "userRolesUpdated_many": ""
       },
       "error": {
         "createRoleFailed": "Nie udało się utworzyć roli: {{errorMessage}}",
@@ -799,7 +833,7 @@
   "triggers": {
     "documentTitle": "Wyzwalacze",
     "management": {
-      "title": "Zarządzanie wyzwalaczami",
+      "title": "Wyzwalacze",
       "desc": "Zarządzaj wyzwalaczami dla kamery {{camera}}. Użyj typu miniatury, aby aktywować miniatury podobne do wybranego śledzonego obiektu, i typu opisu, aby aktywować opisy podobne do określonego tekstu."
     },
     "addTrigger": "Dodaj wyzwalacz",
@@ -820,7 +854,9 @@
     },
     "actions": {
       "alert": "Oznacz jako alarm",
-      "notification": "Wyślij powiadomienie"
+      "notification": "Wyślij powiadomienie",
+      "sub_label": "Dodaj podetykietę",
+      "attribute": "Dodaj atrybut"
     },
     "dialog": {
       "createTrigger": {
@@ -840,23 +876,26 @@
           "title": "Nazwa",
           "placeholder": "Wprowadź nazwę wyzwalacza",
           "error": {
-            "minLength": "Nazwa musi mieć co najmniej 2 znaki.",
-            "invalidCharacters": "Nazwa może zawierać jedynie litery, liczby, podkreślenie i myślniki.",
+            "minLength": "Pole musi mieć co najmniej 2 znaki.",
+            "invalidCharacters": "Pole może zawierać jedynie litery, liczby, podkreślenie i myślniki.",
             "alreadyExists": "Wyzwalacz o tej nazwie istnieje już dla tej kamery."
-          }
+          },
+          "description": "Wprowadź unikalną nazwę lub opis, aby zidentyfikować ten wyzwalacz"
         },
         "enabled": {
           "description": "Włącz lub wyłącz ten wyzwalacz"
         },
         "type": {
           "title": "Typ",
-          "placeholder": "Wybierz typ wyzwalacza"
+          "placeholder": "Wybierz typ wyzwalacza",
+          "description": "Uruchom, gdy wykryty zostanie podobny opis śledzonego obiektu",
+          "thumbnail": "Uruchom, gdy wykryta zostanie podobna miniatura śledzonego obiektu"
         },
         "content": {
           "title": "Zawartość",
-          "imagePlaceholder": "Wybierz obraz",
+          "imagePlaceholder": "Wybierz miniaturkę",
           "textPlaceholder": "Wprowadź treść",
-          "imageDesc": "Wybierz obraz, aby uruchomić tę akcję po wykryciu podobnego obrazu.",
+          "imageDesc": "Wyświetlane jest tylko 100 najnowszych miniatur. Jeśli nie możesz znaleźć żądanej miniatury, przejrzyj wcześniejsze obiekty w sekcji Eksploruj i skonfiguruj wyzwalacz z menu w tym miejscu.",
           "textDesc": "Wprowadź tekst, który spowoduje uruchomienie tej akcji po wykryciu podobnego opisu śledzonego obiektu.",
           "error": {
             "required": "Zawartość jest wymagana."
@@ -867,14 +906,20 @@
           "error": {
             "min": "Próg musi wynosić co najmniej 0",
             "max": "Próg nie może być większy niż 1"
-          }
+          },
+          "desc": "Ustaw próg podobieństwa dla tego wyzwalacza. Wyższy próg oznacza, że do uruchomienia wyzwalacza wymagane jest większe dopasowanie."
         },
         "actions": {
           "title": "Akcje",
-          "desc": "Domyślnie Frigate wysyła wiadomość MQTT dla wszystkich wyzwalaczy. Wybierz dodatkową akcję, która ma zostać wykonana po uruchomieniu tego wyzwalacza.",
+          "desc": "Domyślnie Frigate wysyła komunikat MQTT dla wszystkich wyzwalaczy. Podetykiety dodają nazwę wyzwalacza do etykiety obiektu. Atrybuty to metadane, które można przeszukiwać, przechowywane oddzielnie w metadanych śledzonego obiektu.",
           "error": {
             "min": "Musisz wybrać co najmniej jedną akcję."
           }
+        },
+        "friendly_name": {
+          "title": "Przyjazna nazwa",
+          "placeholder": "Nazwij lub opisz ten trigger",
+          "description": "Opcjonalna przyjazna nazwa lub opis tego triggera."
         }
       }
     },
@@ -889,6 +934,293 @@
         "updateTriggerFailed": "Nie udało się zaktualizować wyzwalacza: {{errorMessage}}",
         "deleteTriggerFailed": "Nie udało się usunąć wyzwalacza: {{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "title": "Wyszukiwanie semantyczne jest zablokowane",
+      "desc": "Wyszukiwanie semantyczne musi być włączone, aby korzystać z triggerów."
+    },
+    "wizard": {
+      "title": "Utwórz wyzwalacz",
+      "step1": {
+        "description": "Skonfiguruj podstawowe ustawienia wyzwalacza."
+      },
+      "step2": {
+        "description": "Skonfiguruj treść, która uruchomi tę akcję."
+      },
+      "step3": {
+        "description": "Skonfiguruj próg i działania dla tego wyzwalacza."
+      },
+      "steps": {
+        "nameAndType": "Nazwa i typ",
+        "configureData": "Skonfiguruj dane",
+        "thresholdAndActions": "Próg i akcje"
+      }
+    }
+  },
+  "cameraWizard": {
+    "title": "Dodaj kamerę",
+    "steps": {
+      "streamConfiguration": "Konfiguracja strumienia",
+      "nameAndConnection": "Nazwa i połączenie",
+      "probeOrSnapshot": "Sonda lub migawka",
+      "validationAndTesting": "Walidacja i testowanie"
+    },
+    "save": {
+      "success": "Zapisano ustawienia nowej kamery {{cameraName}}.",
+      "failure": "Błąd zapisu {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Rozdzielczość",
+      "fps": "kl./s",
+      "video": "Wideo",
+      "audio": "Audio"
+    },
+    "commonErrors": {
+      "noUrl": "Podaj poprawny adres URL",
+      "testFailed": "Negatywny wynik testu strumienia: {{error}}"
+    },
+    "step1": {
+      "cameraName": "Nazwa kamery",
+      "cameraNamePlaceholder": "np. drzwi_frontowe lub Ogród",
+      "host": "Host/Adres IP",
+      "port": "Port",
+      "username": "Nazwa użytkownika",
+      "usernamePlaceholder": "Opcjonalne",
+      "password": "Hasło",
+      "passwordPlaceholder": "Opcjonalne",
+      "selectTransport": "Wybierz protokół warstwy transportowej",
+      "cameraBrand": "Marka Kamery",
+      "selectBrand": "Wybierz markę kamery aby dostosować wzór adresu URL",
+      "customUrl": "Niestandardowy adres URL strumienia",
+      "brandInformation": "Informacje o marce",
+      "brandUrlFormat": "Dla kamer z formatem RTSP, formatuj URL jako: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://nazwa_użytkownika:hasło@host:port/scieżka",
+      "connectionSettings": "Ustawienia Połączenia",
+      "detectionMethod": "Metoda wykrywania strumienia",
+      "onvifPort": "Port ONVIF",
+      "manualMode": "Ręczny wybór",
+      "onvifPortDescription": "Dla kamer wspierających protokół ONVIF, port to zazwyczaj 80 lub 8080.",
+      "errors": {
+        "brandOrCustomUrlRequired": "Wybierz markę kamery oraz host/adres IP lub wybierz 'Inny' i podaj niestandardowy adres URL",
+        "nameRequired": "Wymagana nazwa kamery",
+        "nameLength": "Nazwa kamery musi mieć 64 lub mniej znaków",
+        "invalidCharacters": "Nazwa kamery zawiera niepoprawne znaki",
+        "nameExists": "Nazwa kamery jest już zajęta",
+        "customUrlRtspRequired": "Niestandardowe adresy URL muszą zaczynać się od \"rtsp://\". Ręczna konfiguracja wymagana jest dla strumieniów innych niż RTSP."
+      },
+      "description": "Wprowadź szczegóły kamery i wybierz autodetekcję lub ręcznie wybierz firmę.",
+      "probeMode": "Wykryj kamerę",
+      "detectionMethodDescription": "Wykryj kamerę za pomocą ONVIF (jeśli wspierane) by znaleźć adresy strumieni lub wybierz ręcznie markę kamery by wybrać predefiniowane adresy. By wpisać własny adres strumienia RTSP użyj ręcznej metody i wybierz \"Inne\".",
+      "useDigestAuth": "Użyj przesyłania skrótu autentykacji",
+      "useDigestAuthDescription": "Użyj przesyłania skrótu logowania HTTP dla ONVIF. Niektóre kamery mogą wymagać dedykowanego użytkownika i hasła ONVIF zamiast standardowego konta admin."
+    },
+    "step2": {
+      "testSuccess": "Test połączenia udany!",
+      "testFailed": "Test połączenia nieudany. Sprawdź adres źródła obrazu i spróbuj ponownie.",
+      "testFailedTitle": "Test Nieudany",
+      "streamDetails": "Szczegóły Strumienia",
+      "testing": {
+        "fetchingSnapshot": "Przygotowywanie migawki kamery...",
+        "probingMetadata": "Wykrywanie metadanych kamery..."
+      },
+      "deviceInfo": "Informacje o urządzeniu",
+      "manufacturer": "Producent",
+      "model": "Model",
+      "firmware": "Firmware",
+      "profiles": "Profile",
+      "ptzSupport": "Wsparcie PTZ",
+      "autotrackingSupport": "Wsparcie auto-śledzenia",
+      "uriCopy": "Kopiuj",
+      "uriCopied": "Adres URL skopiowano do schowka",
+      "testConnection": "Przetestuj połączenie",
+      "errors": {
+        "hostRequired": "Wymagany jest Host/Adres IP"
+      },
+      "description": "Wykryj dostępne strumienie kamery lub skonfiguruj ręcznie ustawienia na podstawie wybranej metody detekcji.",
+      "probing": "Wykrywanie kamery...",
+      "retry": "Ponów",
+      "probeFailed": "Błąd wykrywania kamery: {{error}}",
+      "probingDevice": "Wykrywanie urządzenia...",
+      "probeSuccessful": "Wykrywanie udane",
+      "probeError": "Błąd wykrywania",
+      "probeNoSuccess": "Niepowodzenie wykrywania",
+      "presets": "Ustawienia wstępne",
+      "rtspCandidates": "Kandydaci RTSP",
+      "rtspCandidatesDescription": "W wyniku sprawdzania kamery znaleziono następujące adresy URL RTSP. Przetestuj połączenie, aby wyświetlić metadane strumienia.",
+      "noRtspCandidates": "Nie znaleziono adresów URL RTSP z kamery. Twoje dane uwierzytelniające mogą być nieprawidłowe lub kamera może nie obsługiwać protokołu ONVIF lub metody używanej do pobierania adresów URL RTSP. Wróć i wprowadź adres URL RTSP ręcznie.",
+      "candidateStreamTitle": "Kandydat {{number}}",
+      "useCandidate": "Użyj",
+      "toggleUriView": "Kliknij, aby przełączyć widok pełnego adresu URI",
+      "connected": "Połączony",
+      "notConnected": "Niepołączony"
+    },
+    "step3": {
+      "streamTitle": "Strumień numer: {{number}}",
+      "streamUrl": "URL strumienia",
+      "streamUrlPlaceholder": "rtsp://nazwa_użytkownika:hasło@host:port/scieżka",
+      "selectStream": "Wybierz strumień",
+      "noStreamFound": "Nie znaleziono żadnego strumienia",
+      "url": "adres URL",
+      "resolution": "Rozdzielczość",
+      "selectResolution": "Wybierz rozdzielczość",
+      "quality": "Jakość",
+      "selectQuality": "wybierz jakość",
+      "roles": "Role",
+      "roleLabels": {
+        "detect": "Wykrywanie obiektów",
+        "record": "Nagrywanie",
+        "audio": "Dźwięk"
+      },
+      "testStream": "Przetestuj połączenie",
+      "testSuccess": "Test strumienia udany!",
+      "testFailed": "Test strumienia nieudany",
+      "testFailedTitle": "Test nieudany",
+      "connected": "Połączono",
+      "notConnected": "Nie połączono",
+      "featuresTitle": "Funkcje",
+      "go2rtc": "Ogranicz połączenia do kamery",
+      "detectRoleWarning": "Przynajmniej jeden strumień musi mieć rolę \"detect\".",
+      "rolesPopover": {
+        "title": "Role strumienia",
+        "detect": "Główny strumień służący do wykrywania obiektów.",
+        "record": "Zapisuje fragmenty strumienia wideo zgodnie z ustawieniami konfiguracyjnymi.",
+        "audio": "Kanał do wykrywania opartego na dźwięku."
+      },
+      "featuresPopover": {
+        "title": "Funkcje strumienia",
+        "description": "Użyj funkcji ponownego przesyłania strumienia go2rtc, aby zmniejszyć liczbę połączeń z kamerą."
+      },
+      "description": "Skonfiguruj role strumieni i dodaj dodatkowe strumienie dla swojej kamery.",
+      "streamsTitle": "Strumienie kamery",
+      "addStream": "Dodaj strumień",
+      "addAnotherStream": "Dodaj kolejny strumień",
+      "searchCandidates": "Szukaj kandydatów..."
+    },
+    "step4": {
+      "description": "Końcowa walidacja i analiza przed zapisaniem ustawień nowej kamery. Połącz się z każdym strumieniem przed zapisaniem.",
+      "validationTitle": "Walidacja strumienia",
+      "reconnectionSuccess": "Ponowna próba połączenia udana.",
+      "streamUnavailable": "Podgląd strumienia niedostępny",
+      "connecting": "Łączenie...",
+      "streamTitle": "Strumień numer: {{number}}",
+      "valid": "Poprawny",
+      "connectingStream": "Łączenie",
+      "disconnectStream": "Rozłącz",
+      "estimatedBandwidth": "Przewidywana przepustowość",
+      "roles": "Role",
+      "ffmpegModuleDescription": "Jeżeli po kilku próbach strumień nadal nie ładuje się, uruchom ten tryb. Gdy włączony jest ten tryb Frigate będzie używać modułu ffmpeg z go2rtc. Może to zapewnić lepszą kompatybilność z niektórymi typami strumieniów.",
+      "none": "Brak",
+      "error": "Błąd",
+      "streamValidated": "Strumień numer: {{number}} przeszedł test pozytywnie",
+      "streamValidationFailed": "Strumień numer: {{number}} test nieudany",
+      "saveAndApply": "Zapisz nową kamerę",
+      "saveError": "Nieprawidłowa konfiguracja. Sprawdź ustawienia.",
+      "issues": {
+        "title": "Walidacja strumienia",
+        "audioCodecGood": "Kodek dźwięku to {{codec}}.",
+        "resolutionHigh": "Rozdzielczość {{resolution}} może spowodować większe zużycie zasobów.",
+        "resolutionLow": "Rozdzielczość {{resolution}} może okazać się za mała aby poprawnie wykrywać małe obiekty.",
+        "noAudioWarning": "Nie wykryto dźwięku dla tego strumienia, nagrania również nie będą zawierać dźwięku.",
+        "audioCodecRecordError": "Kodek AAC jest wymagany aby uwzględnić dźwięk w nagraniach.",
+        "audioCodecRequired": "Strumień audio jest wymagany aby umożliwić wykrywanie dźwięku.",
+        "restreamingWarning": "Ograniczenie ilości połączeń do strumienia nagrań może delikatnie zwiększyć użycie procesora.",
+        "brands": {
+          "reolink-rtsp": "Strumień RTSP dla kamer firmy Reolink nie jest rekomendowany. Uruchom strumień HTTP w oprogramowaniu kamery i uruchom kreator jeszcze raz.",
+          "reolink-http": "Strumienie HTTP Reolink powinny korzystać z FFmpeg w celu zapewnienia lepszej kompatybilności. Włącz opcję 'Użyj trybu kompatybilności strumienia' dla tego strumienia."
+        },
+        "videoCodecGood": "Kodek wideo to {{codec}}.",
+        "dahua": {
+          "substreamWarning": "Podstrumień 1 jest zablokowany na niskiej rozdzielczości. Wiele kamer Dahua / Amcrest / EmpireTech obsługuje dodatkowe podstrumienie, które należy włączyć w ustawieniach kamery. Zaleca się sprawdzenie i wykorzystanie tych strumieni, jeśli są dostępne."
+        },
+        "hikvision": {
+          "substreamWarning": "Podstrumień 1 jest zablokowany na niskiej rozdzielczości. Wiele kamer Hikvision obsługuje dodatkowe podstrumienie, które należy włączyć w ustawieniach kamery. Zaleca się sprawdzenie i wykorzystanie tych strumieni, jeśli są dostępne."
+        }
+      },
+      "connectAllStreams": "Podłącz wszystkie strumienie",
+      "reconnectionPartial": "Niektóre strumienie nie zostały ponownie połączone.",
+      "reload": "Przeładuj",
+      "failed": "Nie powiodło się",
+      "notTested": "Nietestowane",
+      "connectStream": "Połącz",
+      "ffmpegModule": "Użyj trybu zgodności strumienia"
+    },
+    "description": "Wykonaj poniższe kroki aby dodać nową kamerę do Frigate."
+  },
+  "cameraManagement": {
+    "title": "Zarządzaj kamerami",
+    "addCamera": "Dodaj nową kamerę",
+    "editCamera": "Edytuj kamerę:",
+    "selectCamera": "Wybierz kamerę",
+    "backToSettings": "Powrót do ustawień kamery",
+    "streams": {
+      "title": "Włącz / Wyłącz kamery",
+      "desc": "Tymczasowo wyłącz kamerę do momentu ponownego uruchomienia Frigate. Wyłączenie kamery całkowicie zatrzymuje przetwarzanie strumieni z tej kamery przez program Frigate. Funkcje detekcji, nagrywania i debugowania będą niedostępne. <br /><em>Uwaga: nie powoduje to wyłączenia strumieni go2rtc.</em>"
+    },
+    "cameraConfig": {
+      "add": "Dodaj kamerę",
+      "edit": "Edytuj kamerę",
+      "description": "Skonfiguruj ustawienia kamery, wliczając strumienie wejściowe i ich role.",
+      "name": "Nazwa kamery",
+      "nameRequired": "Wymagana nazwa kamery",
+      "nameLength": "Nazwa kamery musi mieć 64 lub mniej znaków.",
+      "namePlaceholder": "np. drzwi_frontowe lub Ogród",
+      "enabled": "Włączone",
+      "ffmpeg": {
+        "inputs": "Strumienie wejściowe",
+        "path": "Ścieżka strumienia",
+        "pathRequired": "Ścieżka strumienia jest wymagana",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "Role",
+        "rolesRequired": "Wymagana jest przynajmniej jedna rola",
+        "rolesUnique": "Każda rola ('audio', 'detect', 'record') może zostać przypisana tylko raz",
+        "addInput": "Dodaj strumień wejściowy",
+        "removeInput": "Usuń strumień wejściowy",
+        "inputsRequired": "Wymagany jest przynajmniej jeden strumień wejściowy"
+      },
+      "go2rtcStreams": "Strumienie go2rtc",
+      "streamUrls": "Adresy URL strumieni",
+      "addUrl": "Dodaj adres URL",
+      "addGo2rtcStream": "Dodaj strumień go2rtc",
+      "toast": {
+        "success": "Zapisano poprawnie kamerę {{cameraName}}"
+      }
+    }
+  },
+  "cameraReview": {
+    "review": {
+      "alerts": "Alerty ",
+      "detections": "Wykrycia ",
+      "title": "Recenzja",
+      "desc": "Tymczasowo włącz/wyłącz alerty i wykrywania dla tej kamery do momentu ponownego uruchomienia programu Frigate. Po wyłączeniu nie będą generowane żadne nowe elementy do przeglądu. "
+    },
+    "reviewClassification": {
+      "title": "Przegląd klasyfikacji",
+      "noDefinedZones": "Nie zdefiniowano żadnych stref dla tej kamery.",
+      "objectDetectionsTips": "Wszystkie obiekty w kategorii {{detectionsLabels}} wykryte przez kamerę {{cameraName}} będą wyświetlane jako Wykrycia niezależnie od strefy w której zostały wykryte.",
+      "zoneObjectDetectionsTips": {
+        "text": "Wszystkie obiekty w kategorii {{detectionsLabels}} nieskategoryzowane w strefie {{zone}} kamery {{cameraName}} będą wyświetlane jako Wykrycia.",
+        "notSelectDetections": "Wszystkie obiekty w kategorii {{detectionsLabels}} wykryte w strefie {{zone}} kamery {{cameraName}} nieskategoryzowane jako Alerty będą wyświetlane jako Wykrycia, niezależnie w której strefie zostaną wykryte.",
+        "regardlessOfZoneObjectDetectionsTips": "Wszystkie obiekty w kategorii {{detectionsLabels}} nieskategoryzowane dla kamery {{cameraName}} będą wyświetlane jako Wykrycia niezależnie w której strefie zostaną wykryte."
+      },
+      "unsavedChanges": "Niezapisane ustawienia klasyfikacji przeglądu dla kamery {{camera}}",
+      "selectAlertsZones": "Wybierz strefę dla Alertów",
+      "selectDetectionsZones": "Wybierz strefę dla Wykryć",
+      "limitDetections": "Ogranicz detekcje do konkretnych stref",
+      "desc": "Frigate dzieli elementy do przeglądu na alarmy i detekcje. Domyślnie wszystkie obiekty typu <em>osoba</em> i <em>samochód</em> są traktowane jako alerty. Możesz doprecyzować kategoryzację elementów do przeglądu, konfigurując dla nich wymagane strefy.",
+      "objectAlertsTips": "Wszystkie obiekty {{alertsLabels}} w {{cameraName}} będą wyświetlane jako alarmy.",
+      "zoneObjectAlertsTips": "Wszystkie obiekty {{alertsLabels}} wykryte w {{zone}} na {{cameraName}} zostaną wyświetlone jako alarmy.",
+      "toast": {
+        "success": "Konfiguracja klasyfikacji została zapisana. Uruchom ponownie program Frigate, aby zastosować zmiany."
+      }
+    },
+    "title": "Ustawienia przeglądu kamery",
+    "object_descriptions": {
+      "title": "Generatywne opisy obiektów AI",
+      "desc": "Tymczasowo włącz/wyłącz generatywne opisy obiektów AI dla tej kamery. Po wyłączeniu funkcja nie będzie generować opisów AI dla obiektów śledzonych przez tę kamerę."
+    },
+    "review_descriptions": {
+      "title": "Opisy generatywnej sztucznej inteligencji",
+      "desc": "Tymczasowo włącz/wyłącz generatywne opisy AI dla tej kamery. Po wyłączeniu opisy generowane przez AI nie będą wymagane dla elementów przeglądu w tej kamerze."
     }
   }
 }
diff --git a/web/public/locales/pl/views/system.json b/web/public/locales/pl/views/system.json
index 1100ddbc7..ebcc11463 100644
--- a/web/public/locales/pl/views/system.json
+++ b/web/public/locales/pl/views/system.json
@@ -42,7 +42,12 @@
       "gpuMemory": "Pamięć GPU",
       "gpuUsage": "Użycie GPU",
       "npuUsage": "Użycie NPU",
-      "npuMemory": "Pamięć NPU"
+      "npuMemory": "Pamięć NPU",
+      "intelGpuWarning": {
+        "message": "Statystyki układu graficznego niedostępne",
+        "description": "W narzędziach telemetrii i statystyki układów graficznych firmy Intel (intel_gpu_top) znajduje się znany błąd powodujący raportowanie użycia układu graficznego wynoszące 0%, nawet gdy akceleracja sprzętowa i wykrywanie obiektów działa prawidłowo korzystając ze zintegrowanego układu graficznego. To nie jest błąd oprogramowania Frigate. Restart hosta może chwilowo rozwiązać problem i pozwolić na weryfikację działania układu graficznego. Ten bład nie wpływa na wydajność systemu.",
+        "title": "Ostrzeżenie dotyczące statystyk Intel GPU"
+      }
     },
     "title": "Ogólne",
     "detector": {
@@ -56,13 +61,20 @@
     "otherProcesses": {
       "title": "Inne procesy",
       "processCpuUsage": "Użycie CPU przez proces",
-      "processMemoryUsage": "Użycie pamięci przez proces"
+      "processMemoryUsage": "Użycie pamięci przez proces",
+      "series": {
+        "audio_detector": "detektor dźwięku",
+        "go2rtc": "go2rtc",
+        "recording": "nagranie",
+        "review_segment": "przejrzyj fragment",
+        "embeddings": "osadzone opisy"
+      }
     }
   },
   "cameras": {
     "info": {
       "stream": "Strumień {{idx}}",
-      "cameraProbeInfo": "{{camera}} Informacje o sondowaniu kamery",
+      "cameraProbeInfo": "{{camera}} Informacje o ustawieniach kamery",
       "streamDataFromFFPROBE": "Dane strumienia są pozyskiwane za pomocą <code>ffprobe</code>.",
       "video": "Wideo:",
       "codec": "Kodek:",
@@ -113,12 +125,12 @@
       },
       "title": "Magazyn kamery",
       "camera": "Kamera",
-      "storageUsed": "Wykorzystany magazyn",
+      "storageUsed": "Wykorzystana przestrzeń",
       "percentageOfTotalUsed": "Procent całości",
       "bandwidth": "Przepustowość",
       "unusedStorageInformation": "Informacja o niewykorzystanym magazynie"
     },
-    "title": "Magazyn",
+    "title": "Przestrzeń dyskowa",
     "overview": "Przegląd",
     "recordings": {
       "title": "Nagrania",
@@ -180,7 +192,17 @@
       "yolov9_plate_detection_speed": "Prędkość detekcji rejestracji samochodowych YOLOv9",
       "yolov9_plate_detection": "Detekcja rejestracji samochodowych YOLOv9",
       "text_embedding": "Osadzenie tekstu",
-      "face_recognition": "Rozpoznawanie twarzy"
-    }
+      "face_recognition": "Rozpoznawanie twarzy",
+      "classification_events_per_second": "{{name}} Klasyfikacja zdarzeń na sekundę",
+      "classification_speed": "{{name}} Szybkość klasyfikacji",
+      "classification": "{{name}} Klasyfikacja",
+      "review_description": "Opis recenzji",
+      "review_description_speed": "Szybkość opisu recenzji",
+      "review_description_events_per_second": "Opis recenzji",
+      "object_description": "Opis obiektu",
+      "object_description_speed": "Szybkość opisu obiektu",
+      "object_description_events_per_second": "Opis obiektu"
+    },
+    "averageInf": "Średni czas wnioskowania"
   }
 }
diff --git a/web/public/locales/pt-BR/audio.json b/web/public/locales/pt-BR/audio.json
index 74140c039..b36f09902 100644
--- a/web/public/locales/pt-BR/audio.json
+++ b/web/public/locales/pt-BR/audio.json
@@ -425,5 +425,9 @@
   "artillery_fire": "Fogo de Artilharia",
   "cap_gun": "Espoleta",
   "fireworks": "Fogos de Artifício",
-  "firecracker": "Rojões"
+  "firecracker": "Rojões",
+  "noise": "Ruído",
+  "distortion": "Distorção",
+  "cacophony": "Cacofonia",
+  "vibration": "Vibração"
 }
diff --git a/web/public/locales/pt-BR/common.json b/web/public/locales/pt-BR/common.json
index 69e50231c..e1ab1e525 100644
--- a/web/public/locales/pt-BR/common.json
+++ b/web/public/locales/pt-BR/common.json
@@ -89,6 +89,14 @@
     "length": {
       "feet": "pés",
       "meters": "metros"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/hora",
+      "mbph": "MB/hora",
+      "gbph": "GB/hora"
     }
   },
   "label": {
@@ -270,5 +278,8 @@
     "title": "404",
     "desc": "Página não encontrada"
   },
-  "readTheDocumentation": "Leia a documentação"
+  "readTheDocumentation": "Leia a documentação",
+  "information": {
+    "pixels": "{{area}}px"
+  }
 }
diff --git a/web/public/locales/pt-BR/components/auth.json b/web/public/locales/pt-BR/components/auth.json
index 7172acaae..27775812f 100644
--- a/web/public/locales/pt-BR/components/auth.json
+++ b/web/public/locales/pt-BR/components/auth.json
@@ -10,6 +10,7 @@
       "loginFailed": "Falha no Login",
       "unknownError": "Erro desconhecido. Checar registros.",
       "webUnknownError": "Erro desconhecido. Verifique os logs do console."
-    }
+    },
+    "firstTimeLogin": "Fazendo login pela primeira vez? As credenciais estão escritas nos logs do Frigate."
   }
 }
diff --git a/web/public/locales/pt-BR/components/dialog.json b/web/public/locales/pt-BR/components/dialog.json
index 2e0670622..6f15f9855 100644
--- a/web/public/locales/pt-BR/components/dialog.json
+++ b/web/public/locales/pt-BR/components/dialog.json
@@ -108,7 +108,8 @@
     "button": {
       "markAsReviewed": "Marcar como revisado",
       "export": "Exportar",
-      "deleteNow": "Deletar Agora"
+      "deleteNow": "Deletar Agora",
+      "markAsUnreviewed": "Marcar como não revisado"
     }
   },
   "imagePicker": {
diff --git a/web/public/locales/pt-BR/views/classificationModel.json b/web/public/locales/pt-BR/views/classificationModel.json
new file mode 100644
index 000000000..c90529873
--- /dev/null
+++ b/web/public/locales/pt-BR/views/classificationModel.json
@@ -0,0 +1,55 @@
+{
+  "documentTitle": "Modelos de Classificação",
+  "button": {
+    "deleteClassificationAttempts": "Apagar Imagens de Classificação",
+    "renameCategory": "Renomear Classe",
+    "deleteCategory": "Apagar Classe",
+    "deleteImages": "Apagar Imagens",
+    "trainModel": "Treinar Modelo",
+    "addClassification": "Adicionar classificação",
+    "deleteModels": "Excluir modelos",
+    "editModel": "Editar Modelo"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Classe Apagada",
+      "deletedImage": "Imagens Apagadas",
+      "categorizedImage": "Imagem Classificada com Sucesso",
+      "trainedModel": "Modelo treinado com sucesso.",
+      "trainingModel": "Treinamento do modelo iniciado com sucesso.",
+      "deletedModel_one": "{{count}} modelo excluído com sucesso",
+      "deletedModel_many": "{{count}} modelos excluídos com sucesso",
+      "deletedModel_other": "{{count}} modelos excluídos com sucesso",
+      "updatedModel": "Configuração do modelo atualizada com sucesso",
+      "renamedCategory": "Classe renomeada para {{name}} com sucesso"
+    },
+    "error": {
+      "deleteImageFailed": "Falha ao deletar:{{errorMessage}}",
+      "deleteCategoryFailed": "Falha ao deletar classe:{{errorMessage}}",
+      "categorizeFailed": "Falha ao categorizar imagem:{{errorMessage}}",
+      "deleteModelFailed": "Falha ao excluir o modelo: {{errorMessage}}",
+      "trainingFailed": "Falha ao iniciar o treinamento do modelo: {{errorMessage}}",
+      "trainingFailedToStart": "Falha ao iniciar o treinamento do modelo: {{errorMessage}}",
+      "updateModelFailed": "Falha ao atualizar modelo: {{errorMessage}}",
+      "renameCategoryFailed": "Falha ao renomear classe: {{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "Excluir Classe",
+    "desc": "Tem certeza de que deseja excluir a classe {{name}}? Isso excluirá permanentemente todas as imagens associadas e exigirá o treinamento do modelo novamente.",
+    "minClassesTitle": "Não é possível apagar a classe"
+  },
+  "deleteModel": {
+    "title": "Deletar modelo de classificação",
+    "single": "Tem certeza de que deseja excluir {{name}}? Isso excluirá permanentemente todos os dados associados, incluindo imagens e dados de treinamento. Esta ação não pode ser desfeita."
+  },
+  "details": {
+    "scoreInfo": "A pontuação representa a média de confiança da classificação de todas as detecções deste objeto."
+  },
+  "tooltip": {
+    "trainingInProgress": "O modelo está sendo treinado",
+    "noNewImages": "Nenhuma nova imagem para treinar. Classifique mais imagens para treinar mais.",
+    "noChanges": "Nenhuma alteração ao conjunto de dados desde o último treinamento.",
+    "modelNotReady": "O modelo não está pronto para treinamento"
+  }
+}
diff --git a/web/public/locales/pt-BR/views/events.json b/web/public/locales/pt-BR/views/events.json
index 2e7eac4cb..37785ab13 100644
--- a/web/public/locales/pt-BR/views/events.json
+++ b/web/public/locales/pt-BR/views/events.json
@@ -36,5 +36,23 @@
   "camera": "Câmera",
   "detected": "detectado",
   "suspiciousActivity": "Atividade Suspeita",
-  "threateningActivity": "Atividade de Ameaça"
+  "threateningActivity": "Atividade de Ameaça",
+  "detail": {
+    "noDataFound": "Nenhum dado de detalhe para revisar",
+    "aria": "Alternar visualização de detalhe",
+    "trackedObject_one": "{{count}} objeto(s)",
+    "trackedObject_other": "{{count}} objetos",
+    "noObjectDetailData": "Nenhum dado de detalhe de objeto disponível.",
+    "label": "Detalhe",
+    "settings": "Configurações de visualização detalhada",
+    "alwaysExpandActive": {
+      "title": "Expandir sempre o modo ativo"
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Ponto rastreado",
+    "clickToSeek": "Clique para ir para esse horário"
+  },
+  "zoomIn": "Ampliar",
+  "zoomOut": "Diminuir o zoom"
 }
diff --git a/web/public/locales/pt-BR/views/explore.json b/web/public/locales/pt-BR/views/explore.json
index 9de511f9d..bb3e6fdab 100644
--- a/web/public/locales/pt-BR/views/explore.json
+++ b/web/public/locales/pt-BR/views/explore.json
@@ -111,7 +111,8 @@
     "details": "detalhes",
     "snapshot": "captura de imagem",
     "video": "vídeo",
-    "object_lifecycle": "ciclo de vida do objeto"
+    "object_lifecycle": "ciclo de vida do objeto",
+    "thumbnail": "thumbnail"
   },
   "objectLifecycle": {
     "title": "Ciclo de Vida do Objeto",
diff --git a/web/public/locales/pt-BR/views/exports.json b/web/public/locales/pt-BR/views/exports.json
index 892f719d2..12a6dce45 100644
--- a/web/public/locales/pt-BR/views/exports.json
+++ b/web/public/locales/pt-BR/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "Falha ao renomear exportação: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Compartilhar exportação",
+    "downloadVideo": "Baixar vídeo",
+    "editName": "Editar nome",
+    "deleteExport": "Apagar exportação"
   }
 }
diff --git a/web/public/locales/pt-BR/views/faceLibrary.json b/web/public/locales/pt-BR/views/faceLibrary.json
index 912236cf4..ee3ccde38 100644
--- a/web/public/locales/pt-BR/views/faceLibrary.json
+++ b/web/public/locales/pt-BR/views/faceLibrary.json
@@ -15,7 +15,7 @@
     },
     "maxSize": "Tamanho máximo: {{size}}MB",
     "dropActive": "Solte a imagem aqui…",
-    "dropInstructions": "Arraste e solte uma imagem aqui, ou clique para selecionar"
+    "dropInstructions": "Arraste e solte ou cole uma imagem aqui ou clique para selecionar"
   },
   "deleteFaceLibrary": {
     "title": "Apagar Nome",
@@ -33,7 +33,7 @@
     "new": "Criar Novo Rosto",
     "title": "Criar Coleção",
     "desc": "Criar uma nova coleção",
-    "nextSteps": "Para construir uma base forte:<li> Use a aba Teinar para selecionar e treinar em imagens para cada pessoa detectada.</li><li> Foque em imagens retas para melhores resultados; evite treinar imagens que capturam rostos em um ângulo.</li></ul>"
+    "nextSteps": "Para construir uma base forte:<li> Use a aba Reconhecimentos Recentes para selecionar e treinar em imagens para cada pessoa detectada.</li><li> Foque em imagens retas para melhores resultados; evite treinar imagens que capturam rostos em um ângulo.</li></ul>"
   },
   "deleteFaceAttempts": {
     "title": "Apagar Rostos",
@@ -45,7 +45,7 @@
     "title": "Renomear Rosto",
     "desc": "Entre com o novo nome para {{name}}"
   },
-  "nofaces": "Sem rostos disponíveis",
+  "nofaces": "Nenhum rosto disponível",
   "pixels": "{{area}}px",
   "readTheDocs": "Leia a documentação",
   "steps": {
@@ -58,7 +58,7 @@
   },
   "description": {
     "placeholder": "Informe um nome para esta coleção",
-    "addFace": "Passo a Passo para adicionar uma nova coleção a Biblioteca Facial.",
+    "addFace": "Adicione uma nova coleção à Biblioteca Facial subindo a sua primeira imagem.",
     "invalidName": "Nome inválido. Nomes podem incluir apenas letras, números, espaços, apóstrofos, sublinhados e hífenes."
   },
   "documentTitle": "Biblioteca de rostos - Frigate",
@@ -68,8 +68,8 @@
   },
   "collections": "Coleções",
   "train": {
-    "title": "Treinar",
-    "aria": "Selecionar treinar",
+    "title": "Reconhecimentos Recentes",
+    "aria": "Selecionar reconhecimentos recentes",
     "empty": "Não há tentativas recentes de reconhecimento facial"
   },
   "selectFace": "Selecionar Rosto",
diff --git a/web/public/locales/pt-BR/views/live.json b/web/public/locales/pt-BR/views/live.json
index 8ac0b6188..8fb79a81a 100644
--- a/web/public/locales/pt-BR/views/live.json
+++ b/web/public/locales/pt-BR/views/live.json
@@ -71,7 +71,7 @@
   },
   "snapshots": {
     "enable": "Permitir Capturas de Imagem",
-    "disable": "Desativar Campturas de Imagem"
+    "disable": "Desativar Capturas de Imagem"
   },
   "audioDetect": {
     "enable": "Ativar Detecção de Áudio",
@@ -86,8 +86,8 @@
     "disable": "Ocultar Estatísticas de Transmissão"
   },
   "manualRecording": {
-    "title": "Gravação Sob Demanda",
-    "tips": "Inicie um evento manual baseado nas configurações de retenção de gravação dessa câmera.",
+    "title": "Sob Demanda",
+    "tips": "Baixe uma captura de tela instantânea ou Inicie um evento manual baseado nas configurações de retenção de gravação dessa câmera.",
     "playInBackground": {
       "label": "Reproduzir em segundo plano",
       "desc": "Habilite essa opção para continuar transmitindo quando o reprodutor estiver oculto."
@@ -170,5 +170,16 @@
   "transcription": {
     "enable": "Habilitar Transcrição de Áudio em Tempo Real",
     "disable": "Desabilitar Transcrição de Áudio em Tempo Real"
+  },
+  "noCameras": {
+    "title": "Nenhuma Câmera Configurada",
+    "description": "Inicie conectando uma câmera ao Frigate",
+    "buttonText": "Adicionar Câmera"
+  },
+  "snapshot": {
+    "takeSnapshot": "Baixar captura de imagem instantânea",
+    "noVideoSource": "Nenhuma fonte de vídeo disponível para captura de imagem.",
+    "captureFailed": "Falha ao capturar imagem.",
+    "downloadStarted": "Download de capturas de imagem iniciado."
   }
 }
diff --git a/web/public/locales/pt-BR/views/settings.json b/web/public/locales/pt-BR/views/settings.json
index 9f755ab2d..7bbb597d6 100644
--- a/web/public/locales/pt-BR/views/settings.json
+++ b/web/public/locales/pt-BR/views/settings.json
@@ -7,9 +7,11 @@
     "masksAndZones": "Editor de Máscara e Zona - Frigate",
     "motionTuner": "Ajuste de Movimento - Frigate",
     "object": "Debug - Frigate",
-    "general": "Configurações Gerais - Frigate",
+    "general": "Configurações de Interface de Usuário - Frigate",
     "frigatePlus": "Frigate+ Configurações- Frigate",
-    "notifications": "Configurações de notificação - Frigate"
+    "notifications": "Configurações de notificação - Frigate",
+    "cameraManagement": "Gerenciar Câmeras - Frigate",
+    "cameraReview": "Configurações de Revisão de Câmera - Frigate"
   },
   "menu": {
     "ui": "UI",
@@ -21,7 +23,10 @@
     "motionTuner": "Ajuste de Movimento",
     "debug": "Depurar",
     "enrichments": "Enriquecimentos",
-    "triggers": "Gatilhos"
+    "triggers": "Gatilhos",
+    "roles": "Papéis",
+    "cameraManagement": "Gerenciamento",
+    "cameraReview": "Revisar"
   },
   "dialog": {
     "unsavedChanges": {
@@ -44,6 +49,9 @@
       "playAlertVideos": {
         "label": "Reproduzir Alertas de Video",
         "desc": "Por padrão, alertas recentes no Painel em Tempo Real são reproduzidos como vídeos em loop. Desative essa opção para mostrar apenas a imagens estáticas de alertas recentes nesse dispositivo / navegador."
+      },
+      "displayCameraNames": {
+        "label": "Sempre mostrar os nomes das câmeras"
       }
     },
     "storedLayouts": {
@@ -751,6 +759,11 @@
           "error": {
             "min": "Ao menos uma ação deve ser selecionada."
           }
+        },
+        "friendly_name": {
+          "title": "Nome Amigável",
+          "placeholder": "Nomeie ou descreva esse gatilho",
+          "description": "Um nome amigável ou descritivo opcional para esse gatilho."
         }
       }
     },
@@ -765,6 +778,10 @@
         "updateTriggerFailed": "Falha ao atualizar gatilho: {{errorMessage}}",
         "deleteTriggerFailed": "Falha ao apagar gatilho: {{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "title": "Busca Semântica desativada",
+      "desc": "Busca Semântica deve estar habilitada para usar os Gatilhos."
     }
   },
   "roles": {
@@ -786,7 +803,9 @@
         "createRole": "Papel {{role}} criado com sucesso",
         "updateCameras": "Câmeras atualizados para o papel {{role}}",
         "deleteRole": "Papel {{role}} apagado com sucesso",
-        "userRolesUpdated": "{{count}} usuário(os) atribuídos a esse papel foram atualizados para 'visualizador', que possui acesso a todas as câmeras."
+        "userRolesUpdated_one": "{{count}} usuário(os) atribuídos a esse papel foram atualizados para 'visualizador', que possui acesso a todas as câmeras.",
+        "userRolesUpdated_many": "",
+        "userRolesUpdated_other": ""
       },
       "error": {
         "createRoleFailed": "Falha ao criar papel: {{errorMessage}}",
@@ -826,5 +845,62 @@
         }
       }
     }
+  },
+  "cameraWizard": {
+    "title": "Adicionar Câmera",
+    "description": "Siga os passos abaixo para adicionar uma câmera nova no seu Frigate.",
+    "steps": {
+      "nameAndConnection": "Nome e Conexão",
+      "streamConfiguration": "Configuração de Stream",
+      "validationAndTesting": "Validação e Teste"
+    },
+    "save": {
+      "success": "Nova câmera {{cameraName}} salva com sucesso.",
+      "failure": "Erro ao salvar {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Resolução",
+      "video": "Vídeo",
+      "audio": "Áudio",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Favor fornecer uma URL de stream válida",
+      "testFailed": "Teste de stream falhou: {{error}}"
+    },
+    "step1": {
+      "description": "Adicione os detalhes da sua câmera e teste a conexão.",
+      "cameraName": "Nome da Câmera",
+      "cameraNamePlaceholder": "ex., porta_entrada ou Visão Geral do Quintal",
+      "host": "Host/Endereço IP",
+      "port": "Porta",
+      "username": "Nome de Usuário",
+      "usernamePlaceholder": "Opcional",
+      "password": "Senha",
+      "passwordPlaceholder": "Opcional",
+      "selectTransport": "Selecionar protocolo de transporte",
+      "cameraBrand": "Marca da Câmera",
+      "selectBrand": "Selecione a marca da câmera para template de URL",
+      "customUrl": "URL Customizada de Stream",
+      "brandInformation": "Informação da marca",
+      "brandUrlFormat": "Para câmeras com o formato de URL RTSP como: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://nomedeusuario:senha@host:porta/caminho",
+      "testConnection": "Testar Conexão",
+      "testSuccess": "Teste de conexão bem sucedido!",
+      "testFailed": "Teste de conexão falhou. Favor verifique os dados e tente novamente.",
+      "streamDetails": "Detalhes do Stream",
+      "warnings": {
+        "noSnapshot": "Não foi possível adquirir uma captura de imagem do stream configurado."
+      },
+      "errors": {
+        "brandOrCustomUrlRequired": "Selecione a marca da câmera com o host/IP or selecione 'Outro' com uma URL customizada",
+        "nameRequired": "Nome para a câmera requerido",
+        "nameLength": "O nome da câmera deve ter 64 caracteres ou menos"
+      },
+      "testing": {
+        "probingMetadata": "Inferindo o metadata da câmera...",
+        "fetchingSnapshot": "Buscando a captura de imagem da câmera..."
+      }
+    }
   }
 }
diff --git a/web/public/locales/pt/common.json b/web/public/locales/pt/common.json
index 97d543802..557d6b48d 100644
--- a/web/public/locales/pt/common.json
+++ b/web/public/locales/pt/common.json
@@ -18,9 +18,9 @@
     "year_one": "{{time}} ano",
     "year_many": "{{time}} de anos",
     "year_other": "{{time}} anos",
-    "month_one": "{{time}} mes",
+    "month_one": "{{time}} mês",
     "month_many": "{{time}} meses",
-    "month_other": "",
+    "month_other": "{{time}} meses",
     "day_one": "{{time}} dia",
     "day_many": "{{time}} dias",
     "day_other": "{{time}} dias",
@@ -87,7 +87,10 @@
     "formattedTimestampMonthDayYear": {
       "12hour": "d MMM, yyyy",
       "24hour": "d MMM, yyyy"
-    }
+    },
+    "inProgress": "Em andamento",
+    "invalidStartTime": "Horário de início inválido",
+    "invalidEndTime": "Horário de término inválido"
   },
   "unit": {
     "speed": {
@@ -97,6 +100,14 @@
     "length": {
       "feet": "pés",
       "meters": "metros"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/hora",
+      "mbph": "MB/hora",
+      "gbph": "GB/hora"
     }
   },
   "button": {
@@ -108,7 +119,7 @@
     "saving": "A guardar…",
     "apply": "Aplicar",
     "disable": "Desativar",
-    "save": "Guardar",
+    "save": "Salvar",
     "copy": "Copiar",
     "cancel": "Cancelar",
     "close": "Fechar",
@@ -134,10 +145,16 @@
     "export": "Exportar",
     "next": "Seguinte",
     "play": "Tocar",
-    "pictureInPicture": "Imagem sobre Imagem"
+    "pictureInPicture": "Imagem sobre Imagem",
+    "continue": "Continuar"
   },
   "label": {
-    "back": "Voltar"
+    "back": "Voltar",
+    "hide": "Ocultar {{item}}",
+    "show": "Exibir {{item}}",
+    "ID": "ID",
+    "none": "Nenhum",
+    "all": "Todos"
   },
   "menu": {
     "user": {
@@ -169,7 +186,7 @@
     "languages": "Idiomas",
     "language": {
       "en": "Inglês (EUA)",
-      "zhCN": "Chinês (Chinês Simplificado)",
+      "zhCN": "简体中文 (Chinês Simplificado)",
       "withSystem": {
         "label": "Utilizar as definições do sistema para o idioma"
       },
@@ -239,7 +256,8 @@
     "export": "Exportar",
     "explore": "Explorar",
     "review": "Rever",
-    "uiPlayground": "Área de Testes da IU"
+    "uiPlayground": "Área de Testes da IU",
+    "classification": "Classificação"
   },
   "pagination": {
     "previous": {
@@ -280,5 +298,17 @@
     "title": "404"
   },
   "selectItem": "Selecionar {{item}}",
-  "readTheDocumentation": "Leia a documentação"
+  "readTheDocumentation": "Leia a documentação",
+  "information": {
+    "pixels": "{{area}}px"
+  },
+  "list": {
+    "two": "{{0}} e {{1}}",
+    "many": "{{items}} e {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "Opcional",
+    "internalID": "o Frigate utiliza o ID na configuração e no banco de dados"
+  }
 }
diff --git a/web/public/locales/pt/components/auth.json b/web/public/locales/pt/components/auth.json
index fc00399b1..3fa777ba8 100644
--- a/web/public/locales/pt/components/auth.json
+++ b/web/public/locales/pt/components/auth.json
@@ -10,6 +10,7 @@
       "unknownError": "Erro desconhecido. Verifique os registos.",
       "webUnknownError": "Erro desconhecido. Verifique os registos da consola."
     },
-    "password": "Palavra-passe"
+    "password": "Palavra-passe",
+    "firstTimeLogin": "Está tentando fazer login pela primeira vez? As credenciais estão impressas nos registros do Frigate."
   }
 }
diff --git a/web/public/locales/pt/views/classificationModel.json b/web/public/locales/pt/views/classificationModel.json
new file mode 100644
index 000000000..2ab7c1fa8
--- /dev/null
+++ b/web/public/locales/pt/views/classificationModel.json
@@ -0,0 +1,50 @@
+{
+  "button": {
+    "trainModel": "Treinar Modelo",
+    "addClassification": "Adicionar Classificação",
+    "deleteModels": "Apagar Modelos",
+    "editModel": "Editar Modelo",
+    "deleteClassificationAttempts": "Excluir imagens de classificação",
+    "renameCategory": "Renomear Classe",
+    "deleteCategory": "Excluir Classe",
+    "deleteImages": "Excluir imagens"
+  },
+  "tooltip": {
+    "trainingInProgress": "Modelo está a ser treinado",
+    "noNewImages": "Não há novas imagens para treinar. Classifique mais imagens no dataset.",
+    "noChanges": "Nenhuma alteração foi feita no conjunto de dados desde o último treinamento.",
+    "modelNotReady": "O modelo não está pronto para treinamento"
+  },
+  "details": {
+    "scoreInfo": "A pontuação representa a confiança média da classificação em todas as detecções deste objeto.",
+    "none": "Nenhum",
+    "unknown": "Desconhecido"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Classe excluída",
+      "deletedImage": "Imagens excluídas",
+      "categorizedImage": "Imagem classificada com sucesso",
+      "trainedModel": "Modelo treinado com sucesso.",
+      "trainingModel": "Treinamento do modelo iniciado com sucesso.",
+      "updatedModel": "Configuração do modelo atualizada com sucesso",
+      "renamedCategory": "Classe renomeada com sucesso para {{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "Falha ao excluir: {{errorMessage}}",
+      "deleteCategoryFailed": "Falha ao excluir a classe: {{errorMessage}}",
+      "deleteModelFailed": "Falha ao excluir o modelo: {{errorMessage}}",
+      "categorizeFailed": "Falha ao categorizar a imagem: {{errorMessage}}",
+      "trainingFailed": "O treinamento do modelo falhou. Verifique os registros do Frigate para obter detalhes.",
+      "trainingFailedToStart": "Falha ao iniciar o treinamento do modelo: {{errorMessage}}",
+      "updateModelFailed": "Falha ao atualizar o modelo: {{errorMessage}}",
+      "renameCategoryFailed": "Falha ao renomear a classe: {{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "Excluir Classe",
+    "desc": "Tem certeza de que deseja excluir a classe {{name}}? Isso excluirá permanentemente todas as imagens associadas e exigirá o treinamento do modelo novamente.",
+    "minClassesTitle": "Não é possível excluir a classe",
+    "minClassesDesc": "Um modelo de classificação deve ter pelo menos duas classes. Adicione outra classe antes de excluir esta."
+  }
+}
diff --git a/web/public/locales/pt/views/settings.json b/web/public/locales/pt/views/settings.json
index 8b4f92cf5..1bab92d78 100644
--- a/web/public/locales/pt/views/settings.json
+++ b/web/public/locales/pt/views/settings.json
@@ -10,7 +10,9 @@
     "frigatePlus": "Configurações do Frigate+ - Frigate",
     "default": "Configurações - Frigate",
     "notifications": "Configuração de Notificações - Frigate",
-    "enrichments": "Configurações Avançadas - Frigate"
+    "enrichments": "Configurações Avançadas - Frigate",
+    "cameraManagement": "Gerir Câmaras - Frigate",
+    "cameraReview": "Configurações de Revisão de Câmara - Frigate"
   },
   "menu": {
     "ui": "UI",
@@ -23,7 +25,10 @@
     "notifications": "Notificações",
     "frigateplus": "Frigate+",
     "enrichments": "Avançado",
-    "triggers": "Gatilhos"
+    "triggers": "Gatilhos",
+    "cameraManagement": "Gestão",
+    "cameraReview": "Rever",
+    "roles": "Papéis"
   },
   "dialog": {
     "unsavedChanges": {
@@ -815,6 +820,11 @@
           "error": {
             "min": "Pelo menos uma ação deve ser selecionada."
           }
+        },
+        "friendly_name": {
+          "title": "Nome Amigável",
+          "placeholder": "Nomeie ou descreva este gatilho",
+          "description": "Um nome amigável ou descritivo opcional para este gatilho."
         }
       }
     },
@@ -829,6 +839,10 @@
         "updateTriggerFailed": "Falha ao atualizar o trigger: {{errorMessage}}",
         "deleteTriggerFailed": "Falha ao apagar o trigger: {{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "title": "Pesquisa Semântica desativada",
+      "desc": "Pesquisa Semântica deve estar ativada para usar os Gatilhos."
     }
   },
   "roles": {
@@ -850,7 +864,9 @@
         "createRole": "Papel {{role}} criado com sucesso",
         "updateCameras": "Câmaras atualizados para o papel {{role}}",
         "deleteRole": "Papel {{role}} apagado com sucesso",
-        "userRolesUpdated": "{{count}} utilizador(os) atribuídos a este papel foram atualizados para 'visualizador', que possui acesso a todas as câmaras."
+        "userRolesUpdated_one": "{{count}} utilizador(os) atribuídos a este papel foram atualizados para 'visualizador', que possui acesso a todas as câmaras.",
+        "userRolesUpdated_many": "",
+        "userRolesUpdated_other": ""
       },
       "error": {
         "createRoleFailed": "Falha ao criar papel: {{errorMessage}}",
@@ -890,5 +906,81 @@
         }
       }
     }
+  },
+  "cameraWizard": {
+    "title": "Adicionar Câmara",
+    "description": "Siga os passos abaixo para adicionar uma câmara nova no seu Frigate.",
+    "steps": {
+      "nameAndConnection": "Nome e Conexão",
+      "streamConfiguration": "Configuração de Stream",
+      "validationAndTesting": "Validação e Teste"
+    },
+    "save": {
+      "success": "Nova câmara {{cameraName}} grava com sucesso.",
+      "failure": "Erro ao gravar {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Resolução",
+      "video": "Vídeo",
+      "audio": "Áudio",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Favor fornecer uma URL de stream válida",
+      "testFailed": "Teste de stream falhou: {{error}}"
+    },
+    "step1": {
+      "description": "Adicione os pormenores da sua câmara e teste a conexão.",
+      "cameraName": "Nome da Câmara",
+      "cameraNamePlaceholder": "ex., porta_entrada ou Visão Geral do Quintal",
+      "host": "Host/Endereço IP",
+      "port": "Porta",
+      "username": "Nome de Utilizador",
+      "usernamePlaceholder": "Opcional",
+      "password": "Palavra-passe",
+      "passwordPlaceholder": "Opcional",
+      "selectTransport": "Selecionar protocolo de transporte",
+      "cameraBrand": "Marca da Câmara",
+      "selectBrand": "Selecione a marca da câmara para template de URL",
+      "customUrl": "URL Customizada de Stream",
+      "brandInformation": "Informação da marca",
+      "brandUrlFormat": "Para câmaras com o formato de URL RTSP como: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://nomedeusuario:palavra-passe@host:porta/caminho",
+      "testConnection": "Testar Conexão",
+      "testSuccess": "Teste de conexão bem sucedido!",
+      "testFailed": "Teste de conexão falhou. Favor verifique os dados e tente novamente.",
+      "streamDetails": "Pormenores do Stream",
+      "warnings": {
+        "noSnapshot": "Não foi possível adquirir uma captura de imagem do stream configurado."
+      },
+      "errors": {
+        "brandOrCustomUrlRequired": "Selecione a marca da câmara com o host/IP or selecione 'Outro' com uma URL customizada",
+        "nameRequired": "Nome para a câmara requerido"
+      }
+    },
+    "step2": {
+      "url": "URL",
+      "roleLabels": {
+        "audio": "Áudio"
+      }
+    },
+    "step3": {
+      "reload": "Recarregar",
+      "valid": "Válido",
+      "failed": "Falhou",
+      "none": "Nenhum",
+      "error": "Erro"
+    }
+  },
+  "cameraManagement": {
+    "cameraConfig": {
+      "enabled": "Ativado",
+      "addUrl": "Adicionar URL"
+    }
+  },
+  "cameraReview": {
+    "review": {
+      "title": "Rever"
+    }
   }
 }
diff --git a/web/public/locales/ro/audio.json b/web/public/locales/ro/audio.json
index 8221339db..56815c618 100644
--- a/web/public/locales/ro/audio.json
+++ b/web/public/locales/ro/audio.json
@@ -425,5 +425,79 @@
   "single-lens_reflex_camera": "Cameră reflex cu un singur obiectiv",
   "fusillade": "descărcare de focuri",
   "pink_noise": "Zgomot roz",
-  "field_recording": "Înregistrare pe teren"
+  "field_recording": "Înregistrare pe teren",
+  "sodeling": "*Sodeling*",
+  "chird": "*Chird*",
+  "change_ringing": "Schimbă soneria",
+  "shofar": "Șofar",
+  "liquid": "Lichid",
+  "splash": "Stropire",
+  "slosh": "Sloș",
+  "squish": "Plescăit",
+  "drip": "Picur",
+  "pour": "Toarnă",
+  "trickle": "Picurare",
+  "gush": "Șuvoi",
+  "fill": "Umplere",
+  "spray": "Pulverizare",
+  "pump": "Pompă",
+  "stir": "Amestecare",
+  "boiling": "Fierbere",
+  "sonar": "Sonar",
+  "arrow": "Săgeată",
+  "whoosh": "Whoosh",
+  "thump": "Bufnitură",
+  "thunk": "Buft",
+  "electronic_tuner": "Tuner electronic",
+  "effects_unit": "Efect de unitate",
+  "chorus_effect": "Efect de cor",
+  "basketball_bounce": "Săritură minge basket",
+  "bang": "Bubuitură",
+  "slap": "Pălmuială",
+  "whack": "Lovitură",
+  "smash": "Zdrobitură",
+  "breaking": "Rupere",
+  "bouncing": "Saritură",
+  "whip": "Bici",
+  "flap": "fâlfâit",
+  "scratch": "Zgâriat",
+  "scrape": "Răzuire",
+  "rub": "Frecare",
+  "roll": "Rostogolire",
+  "crushing": "Spargere",
+  "crumpling": "Șifonare",
+  "tearing": "Sfâșiere",
+  "beep": "Bip",
+  "ping": "Ping",
+  "ding": "Ding",
+  "clang": "zăngănit",
+  "squeal": "Țipăt",
+  "creak": "Scârțâit",
+  "rustle": "Foșnet",
+  "whir": "Vuiet",
+  "clatter": "Zdrăngăneală",
+  "sizzle": "Sfârâit",
+  "clicking": "Clănțănit",
+  "clickety_clack": "Clănțăneală",
+  "rumble": "Bubuit",
+  "plop": "Plop",
+  "hum": "murmur",
+  "zing": "Zing",
+  "boing": "Boing",
+  "crunch": "ronţăire",
+  "sine_wave": "Unda Sinusoidală",
+  "harmonic": "Armonic",
+  "chirp_tone": "ton de ciripit",
+  "pulse": "Puls",
+  "inside": "În interior",
+  "outside": "Afară",
+  "reverberation": "Reverberație",
+  "echo": "Ecou",
+  "noise": "Gălăgie",
+  "mains_hum": "Zumzet principal",
+  "distortion": "Distorsionare",
+  "sidetone": "Ton lateral",
+  "cacophony": "Cacofonie",
+  "throbbing": "Trepidant",
+  "vibration": "Vibrație"
 }
diff --git a/web/public/locales/ro/common.json b/web/public/locales/ro/common.json
index 1e36296f6..8d5177776 100644
--- a/web/public/locales/ro/common.json
+++ b/web/public/locales/ro/common.json
@@ -1,8 +1,8 @@
 {
   "time": {
     "untilForTime": "Până la {{time}}",
-    "untilForRestart": "Pana la repornirea Frigate.",
-    "untilRestart": "Pana la repornire",
+    "untilForRestart": "Până la repornirea Frigate.",
+    "untilRestart": "Până la repornire",
     "ago": "{{timeAgo}} în urmă",
     "justNow": "Acum",
     "today": "Astăzi",
@@ -78,7 +78,10 @@
     "minute_other": "{{time}} de minute",
     "second_one": "{{time}} secundă",
     "second_few": "{{time}} secunde",
-    "second_other": "{{time}} de secunde"
+    "second_other": "{{time}} de secunde",
+    "inProgress": "În desfășurare",
+    "invalidStartTime": "Oră de început invalidă",
+    "invalidEndTime": "Oră de sfârșit invalidă"
   },
   "menu": {
     "documentation": {
@@ -179,7 +182,8 @@
     },
     "withSystem": "Modul sistemului",
     "restart": "Repornește Frigate",
-    "review": "Revizuire"
+    "review": "Revizuire",
+    "classification": "Clasificare"
   },
   "button": {
     "cameraAudio": "Sunet cameră",
@@ -216,7 +220,8 @@
     "unselect": "Deselectează",
     "export": "Exportă",
     "deleteNow": "Șterge acum",
-    "next": "Următorul"
+    "next": "Următorul",
+    "continue": "Continuă"
   },
   "unit": {
     "speed": {
@@ -226,10 +231,24 @@
     "length": {
       "feet": "picioare",
       "meters": "metri"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/oră",
+      "mbph": "MB/oră",
+      "gbph": "GB/oră"
     }
   },
   "label": {
-    "back": "Mergi înapoi"
+    "back": "Mergi înapoi",
+    "hide": "Ascunde {{item}}",
+    "show": "Afișează {{item}}",
+    "ID": "ID",
+    "none": "Niciuna",
+    "all": "Toate",
+    "other": "Altele"
   },
   "selectItem": "Selectează {{item}}",
   "pagination": {
@@ -270,5 +289,17 @@
     "title": "404",
     "desc": "Pagină negăsită"
   },
-  "readTheDocumentation": "Citește documentația"
+  "readTheDocumentation": "Citește documentația",
+  "information": {
+    "pixels": "{{area}}px"
+  },
+  "list": {
+    "two": "{{0}} și {{1}}",
+    "many": "{{items}}, și {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "Opțional",
+    "internalID": "ID-ul Intern pe care Frigate îl folosește în configurație și în baza de date"
+  }
 }
diff --git a/web/public/locales/ro/components/auth.json b/web/public/locales/ro/components/auth.json
index 4fa303853..cc3b5923b 100644
--- a/web/public/locales/ro/components/auth.json
+++ b/web/public/locales/ro/components/auth.json
@@ -10,6 +10,7 @@
       "webUnknownError": "Eroare necunoscuta. Verifica logurile din consola.",
       "usernameRequired": "Utilizatorul este necesar",
       "unknownError": "Eroare necunoscuta. Verifica logurile."
-    }
+    },
+    "firstTimeLogin": "Încercați să vă conectați pentru prima dată? Datele de autentificare sunt tipărite în jurnalele Frigate."
   }
 }
diff --git a/web/public/locales/ro/components/dialog.json b/web/public/locales/ro/components/dialog.json
index 626c30727..cbbbf7115 100644
--- a/web/public/locales/ro/components/dialog.json
+++ b/web/public/locales/ro/components/dialog.json
@@ -46,7 +46,8 @@
     "button": {
       "deleteNow": "Șterge acum",
       "export": "Exportă",
-      "markAsReviewed": "Marchează ca revizuit"
+      "markAsReviewed": "Marchează ca revizuit",
+      "markAsUnreviewed": "Marchează ca nerevizuit"
     },
     "confirmDelete": {
       "toast": {
@@ -82,12 +83,13 @@
     "export": "Exportă",
     "selectOrExport": "Selectează sau exportă",
     "toast": {
-      "success": "Exportul a început cu succes. Vizualizați fișierul în dosarul /exports.",
+      "success": "Exportul a început cu succes. Vizualizați fișierul pe pagina de exporturi.",
       "error": {
         "failed": "Eroare la pornirea exportului: {{error}}",
         "endTimeMustAfterStartTime": "Ora de sfârșit trebuie să fie după ora de început",
         "noVaildTimeSelected": "Nu a fost selectat un interval de timp valid"
-      }
+      },
+      "view": "Vizualizează"
     },
     "fromTimeline": {
       "saveExport": "Salvează exportul",
@@ -105,7 +107,7 @@
     },
     "showStats": {
       "label": "Afișează statistici streaming",
-      "desc": "Activează această opțiune pentru a afișa statisticile de streaming ca un overlay peste fluxul camerei."
+      "desc": "Activează această opțiune pentru a afișa statisticile de streaming ca un overlay peste stream-ul camerei."
     },
     "debugView": "Vizualizator depanare"
   },
@@ -128,6 +130,7 @@
     "search": {
       "placeholder": "Caută după etichetă sau subetichetă..."
     },
-    "noImages": "Nu s-au găsit miniaturi pentru această cameră"
+    "noImages": "Nu s-au găsit miniaturi pentru această cameră",
+    "unknownLabel": "Imaginea declanșator salvată"
   }
 }
diff --git a/web/public/locales/ro/components/filter.json b/web/public/locales/ro/components/filter.json
index 9130c01f2..74a65aa62 100644
--- a/web/public/locales/ro/components/filter.json
+++ b/web/public/locales/ro/components/filter.json
@@ -132,5 +132,9 @@
     },
     "count_one": "{{count}} Clasă",
     "count_other": "{{count}} Clase"
+  },
+  "attributes": {
+    "label": "Atribute de clasificare",
+    "all": "Toate atributele"
   }
 }
diff --git a/web/public/locales/ro/views/classificationModel.json b/web/public/locales/ro/views/classificationModel.json
new file mode 100644
index 000000000..1ecc6018e
--- /dev/null
+++ b/web/public/locales/ro/views/classificationModel.json
@@ -0,0 +1,193 @@
+{
+  "documentTitle": "Modele de clasificare - Frigate",
+  "button": {
+    "deleteClassificationAttempts": "Șterge imaginile de clasificare",
+    "renameCategory": "Redenumește clasa",
+    "deleteCategory": "Șterge clasa",
+    "deleteImages": "Șterge imaginile",
+    "trainModel": "Antrenează modelul",
+    "addClassification": "Adaugă clasificare",
+    "deleteModels": "Șterge modelele",
+    "editModel": "Editează modelul"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Clasă ștearsă",
+      "deletedImage": "Imagini șterse",
+      "categorizedImage": "Imagine clasificată cu succes",
+      "trainedModel": "Model antrenat cu succes.",
+      "trainingModel": "Antrenamentul modelului a fost pornit cu succes.",
+      "deletedModel_one": "{{count}} model șters cu succes",
+      "deletedModel_few": "{{count}} modele șterse cu succes",
+      "deletedModel_other": "{{count}} modele șterse cu succes",
+      "updatedModel": "Configurația modelului a fost actualizată cu succes",
+      "renamedCategory": "Clasa a fost redenumită cu succes în {{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "Ștergerea a eșuat: {{errorMessage}}",
+      "deleteCategoryFailed": "Ștergerea clasei a eșuat: {{errorMessage}}",
+      "categorizeFailed": "Categorisirea imaginii a eșuat: {{errorMessage}}",
+      "trainingFailed": "Antrenarea modelului a eșuat. Verifică jurnalele Frigate pentru detalii.",
+      "deleteModelFailed": "Ștergerea modelului a eșuat: {{errorMessage}}",
+      "updateModelFailed": "Actualizarea modelului a eșuat: {{errorMessage}}",
+      "renameCategoryFailed": "Redenumirea clasei a eșuat: {{errorMessage}}",
+      "trainingFailedToStart": "Nu s-a putut porni antrenarea modelului: {{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "Șterge clasa",
+    "desc": "Sigur doriți să ștergeți clasa {{name}}? Aceasta va șterge permanent toate imaginile asociate și va necesita reantrenarea modelului.",
+    "minClassesTitle": "Nu se poate șterge clasa",
+    "minClassesDesc": "Un model de clasificare trebuie să aibă cel puțin 2 clase. Adaugă o altă clasă înainte de a o șterge pe aceasta."
+  },
+  "deleteDatasetImages": {
+    "title": "Șterge imaginile setului de date",
+    "desc_one": "Sigur doriți să ștergeți {{count}} imagine din {{dataset}}? Această acțiune nu poate fi anulată și va necesita reantrenarea modelului.",
+    "desc_few": "Sigur doriți să ștergeți {{count}} imagini din {{dataset}}? Această acțiune nu poate fi anulată și va necesita reantrenarea modelului.",
+    "desc_other": "Sigur doriți să ștergeți {{count}} de imagini din {{dataset}}? Această acțiune nu poate fi anulată și va necesita reantrenarea modelului."
+  },
+  "deleteTrainImages": {
+    "title": "Șterge imaginile de antrenament",
+    "desc_one": "Sigur doriți să ștergeți {{count}} imagine? Această acțiune nu poate fi anulată.",
+    "desc_few": "Sigur doriți să ștergeți {{count}} imagini? Această acțiune nu poate fi anulată.",
+    "desc_other": "Sigur doriți să ștergeți {{count}} de imagini? Această acțiune nu poate fi anulată."
+  },
+  "renameCategory": {
+    "title": "Redenumește clasa",
+    "desc": "Introduceți un nume nou pentru {{name}}. Va trebui să reantrenați modelul pentru ca modificarea numelui să aibă efect."
+  },
+  "description": {
+    "invalidName": "Nume invalid. Numele pot include doar litere, cifre, spații, apostrofuri, underscore-uri și liniuțe."
+  },
+  "train": {
+    "title": "Clasificări recente",
+    "titleShort": "Recent",
+    "aria": "Selectează clasificările recente"
+  },
+  "categories": "Clase",
+  "createCategory": {
+    "new": "Creează clasă nouă"
+  },
+  "categorizeImageAs": "Clasifică imaginea ca:",
+  "categorizeImage": "Clasifică imaginea",
+  "noModels": {
+    "object": {
+      "title": "Nu există modele de clasificare a obiectelor",
+      "description": "Creează un model personalizat pentru a clasifica obiectele detectate.",
+      "buttonText": "Creează model de obiect"
+    },
+    "state": {
+      "title": "Nu există modele de clasificare a stării",
+      "description": "Creează un model personalizat pentru a monitoriza și clasifica schimbările de stare în anumite zone ale camerei.",
+      "buttonText": "Creează model de stare"
+    }
+  },
+  "wizard": {
+    "title": "Creează clasificare nouă",
+    "steps": {
+      "nameAndDefine": "Numire și definire",
+      "stateArea": "Zona de stare",
+      "chooseExamples": "Alege exemple"
+    },
+    "step1": {
+      "description": "Modelele de stare monitorizează zone fixe ale camerei pentru schimbări (de exemplu, ușă deschisă/închisă). Modelele de obiect adaugă clasificări obiectelor detectate (de exemplu, animale cunoscute, curieri etc.).",
+      "name": "Nume",
+      "namePlaceholder": "Introduceți numele modelului...",
+      "type": "Tip",
+      "typeState": "Stare",
+      "typeObject": "Obiect",
+      "objectLabel": "Etichetă obiect",
+      "objectLabelPlaceholder": "Selectează tipul obiectului...",
+      "classificationType": "Tip de clasificare",
+      "classificationTypeTip": "Află despre tipurile de clasificare",
+      "classificationTypeDesc": "Subetichetele adaugă text suplimentar la eticheta obiectului (de exemplu, 'Persoană: UPS'). Atributele sunt metadate căutabile, stocate separat în metadatele obiectului.",
+      "classificationSubLabel": "Subeticheta",
+      "classificationAttribute": "Atribut",
+      "classes": "Clase",
+      "classesTip": "Află despre clase",
+      "classesStateDesc": "Definește diferitele stări în care poate fi zona camerei tale. De exemplu: 'deschis' și 'închis' pentru o ușă de garaj.",
+      "classesObjectDesc": "Definește diferitele categorii în care să fie clasificate obiectele detectate. De exemplu: 'curier', 'rezident', 'necunoscut' pentru clasificarea persoanelor.",
+      "classPlaceholder": "Introduceți numele clasei...",
+      "errors": {
+        "nameRequired": "Numele modelului este obligatoriu",
+        "nameLength": "Numele modelului trebuie să aibă 64 de caractere sau mai puțin",
+        "nameOnlyNumbers": "Numele modelului nu poate conține doar cifre",
+        "classRequired": "Este necesară cel puțin 1 clasă",
+        "classesUnique": "Numele claselor trebuie să fie unice",
+        "stateRequiresTwoClasses": "Modelele de stare necesită cel puțin 2 clase",
+        "objectLabelRequired": "Vă rugăm să selectați o etichetă de obiect",
+        "objectTypeRequired": "Vă rugăm să selectați un tip de clasificare",
+        "noneNotAllowed": "Clasa 'niciuna' nu este permisă"
+      },
+      "states": "Stări"
+    },
+    "step2": {
+      "description": "Selectați camerele și definiți zona de monitorizat pentru fiecare cameră. Modelul va clasifica starea acestor zone.",
+      "cameras": "Camere",
+      "selectCamera": "Selectează camera",
+      "noCameras": "Apasă pe + pentru a adăuga camere",
+      "selectCameraPrompt": "Selectați o cameră din listă pentru a defini aria sa de monitorizare"
+    },
+    "step3": {
+      "selectImagesPrompt": "Selectați toate imaginile cu: {{className}}",
+      "selectImagesDescription": "Apăsați pe imagini pentru a le selecta. Apăsați pe Continuare când ați terminat cu această clasă.",
+      "generating": {
+        "title": "Generare imagini de exemplu",
+        "description": "Frigate preia imagini reprezentative din înregistrările tale. Aceasta poate dura câteva momente..."
+      },
+      "training": {
+        "title": "Antrenare model",
+        "description": "Modelul tău este antrenat în fundal. Închide această fereastră și modelul va începe să ruleze imediat ce antrenamentul este finalizat."
+      },
+      "retryGenerate": "Reîncearcă generarea",
+      "noImages": "Nu s-au generat imagini de exemplu",
+      "classifying": "Clasificare și antrenare...",
+      "trainingStarted": "Antrenamentul a început cu succes",
+      "errors": {
+        "noCameras": "Nu există camere configurate",
+        "noObjectLabel": "Nu a fost selectată nicio etichetă de obiect",
+        "generateFailed": "Generarea exemplelor a eșuat: {{error}}",
+        "generationFailed": "Generarea a eșuat. Vă rugăm să încercați din nou.",
+        "classifyFailed": "Clasificarea imaginilor a eșuat: {{error}}"
+      },
+      "generateSuccess": "Imaginile de exemplu au fost generate cu succes",
+      "allImagesRequired_one": "Te rog să clasifici toate imaginile. {{count}} imagine rămasă.",
+      "allImagesRequired_few": "Te rog să clasifici toate imaginile. {{count}} imagini rămase.",
+      "allImagesRequired_other": "Te rog să clasifici toate imaginile. {{count}} de imagini rămase.",
+      "modelCreated": "Modelul a fost creat cu succes. Folosește vizualizarea Clasificări recente pentru a adăuga imagini pentru stările lipsă, apoi antrenează modelul.",
+      "missingStatesWarning": {
+        "title": "Exemple de stări lipsă",
+        "description": "Este recomandat să alegi exemple pentru toate stările pentru rezultate optime. Poți continua fără a selecta toate stările, dar modelul nu va fi antrenat până când toate stările nu au imagini. După continuare, folosește vizualizarea Clasificări recente pentru a clasifica imagini pentru stările lipsă, apoi antrenează modelul."
+      }
+    }
+  },
+  "deleteModel": {
+    "title": "Șterge modelul de clasificare",
+    "single": "Sigur doriți să ștergeți {{name}}? Aceasta va șterge permanent toate datele asociate, inclusiv imaginile și datele de antrenament. Această acțiune nu poate fi anulată.",
+    "desc_one": "Sigur doriți să ștergeți {{count}} model? Aceasta va șterge permanent toate datele asociate, inclusiv imaginile și datele de antrenament. Această acțiune nu poate fi anulată.",
+    "desc_few": "Sigur doriți să ștergeți {{count}} modele? Aceasta va șterge permanent toate datele asociate, inclusiv imaginile și datele de antrenament. Această acțiune nu poate fi anulată.",
+    "desc_other": "Sigur doriți să ștergeți {{count}} de modele? Aceasta va șterge permanent toate datele asociate, inclusiv imaginile și datele de antrenament. Această acțiune nu poate fi anulată."
+  },
+  "menu": {
+    "objects": "Obiecte",
+    "states": "Stări"
+  },
+  "details": {
+    "scoreInfo": "Scorul reprezintă încrederea medie a clasificării pentru toate detecțiile acestui obiect.",
+    "none": "Niciuna",
+    "unknown": "Necunoscut"
+  },
+  "edit": {
+    "title": "Editează modelul de clasificare",
+    "descriptionState": "Editează clasele pentru acest model de clasificare a stării. Modificările vor necesita reantrenarea modelului.",
+    "descriptionObject": "Editează tipul de obiect și tipul de clasificare pentru acest model de clasificare a obiectelor.",
+    "stateClassesInfo": "Notă: Modificarea claselor de stare necesită reantrenarea modelului cu clasele actualizate."
+  },
+  "tooltip": {
+    "trainingInProgress": "Modelul este în curs de antrenare",
+    "noNewImages": "Nu există imagini noi pentru antrenare. Clasifică mai întâi mai multe imagini în setul de date.",
+    "modelNotReady": "Modelul nu este pregătit pentru antrenare",
+    "noChanges": "Nicio modificare a setului de date de la ultima antrenare."
+  },
+  "none": "Niciuna"
+}
diff --git a/web/public/locales/ro/views/events.json b/web/public/locales/ro/views/events.json
index f250d6feb..f4f2ef120 100644
--- a/web/public/locales/ro/views/events.json
+++ b/web/public/locales/ro/views/events.json
@@ -8,7 +8,11 @@
   "empty": {
     "alert": "Nu sunt alerte de revizuit",
     "detection": "Nu sunt detecții de revizuit",
-    "motion": "Nu au fost găsite date despre mișcare"
+    "motion": "Nu au fost găsite date despre mișcare",
+    "recordingsDisabled": {
+      "title": "Înregistrările trebuie să fie activate",
+      "description": "Elementele de revizuire pot fi create doar pentru o cameră atunci când înregistrările sunt activate pentru acea cameră."
+    }
   },
   "timeline": "Cronologie",
   "timeline.aria": "Selectează cronologia",
@@ -36,5 +40,28 @@
   "selected_one": "{{count}} selectate",
   "selected_other": "{{count}} selectate",
   "suspiciousActivity": "Activitate suspectă",
-  "threateningActivity": "Activitate amenințătoare"
+  "threateningActivity": "Activitate amenințătoare",
+  "detail": {
+    "noDataFound": "Nicio dată detaliată de revizuit",
+    "aria": "Comută vizualizarea detaliată",
+    "trackedObject_one": "{{count}} obiect",
+    "trackedObject_other": "{{count}} obiecte",
+    "noObjectDetailData": "Nicio dată de detaliu obiect disponibilă.",
+    "label": "Detaliu",
+    "settings": "Setări vizualizare detaliată",
+    "alwaysExpandActive": {
+      "title": "Extinde întotdeauna activul",
+      "desc": "Extinde întotdeauna detaliile obiectului elementului activ de revizuire, atunci când sunt disponibile."
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Punct urmărit",
+    "clickToSeek": "Apasă pentru a naviga la acest moment"
+  },
+  "zoomIn": "Mărește",
+  "zoomOut": "Micșorează",
+  "normalActivity": "Normal",
+  "needsReview": "Necesită revizuire",
+  "securityConcern": "Potențială problemă de securitate",
+  "select_all": "Toate"
 }
diff --git a/web/public/locales/ro/views/explore.json b/web/public/locales/ro/views/explore.json
index 66e3abc29..d76f9191d 100644
--- a/web/public/locales/ro/views/explore.json
+++ b/web/public/locales/ro/views/explore.json
@@ -33,7 +33,9 @@
     "details": "detalii",
     "snapshot": "snapshot",
     "video": "video",
-    "object_lifecycle": "ciclul de viață al obiectului"
+    "object_lifecycle": "ciclul de viață al obiectului",
+    "thumbnail": "miniatură",
+    "tracking_details": "detalii de urmărire"
   },
   "objectLifecycle": {
     "lifecycleItemDesc": {
@@ -70,7 +72,7 @@
       "offset": {
         "label": "Compensare adnotare",
         "documentation": "Citește documentația ",
-        "desc": "Aceste date provin din fluxul de detecție al camerei tale, dar sunt suprapuse pe imaginile din fluxul de înregistrare. Este puțin probabil ca cele două fluxuri să fie perfect sincronizate. Ca urmare, caseta de delimitare și materialul video nu se vor potrivi perfect. Totuși, câmpul <code>annotation_offset</code> poate fi folosit pentru a ajusta acest lucru.",
+        "desc": "Aceste date provin din stream-ul de detecție al camerei tale, dar sunt suprapuse pe imaginile din stream-ul de înregistrare. Este puțin probabil ca cele două stream-uri să fie perfect sincronizate. Ca urmare, caseta de delimitare și materialul video nu se vor potrivi perfect. Totuși, câmpul <code>annotation_offset</code> poate fi folosit pentru a ajusta acest lucru.",
         "millisecondsToOffset": "Millisecondele cu care să compensezi adnotările de detecție. <em>Implicit: 0</em>",
         "tips": "SFAT: Imaginează-ți că există un clip de eveniment cu o persoană care merge de la stânga la dreapta. Dacă caseta de delimitare de pe linia temporală a evenimentului este constant în partea stângă a persoanei, atunci valoarea ar trebui să fie scăzută. În mod similar, dacă persoana merge de la stânga la dreapta și caseta de delimitare este constant înaintea persoanei, atunci valoarea ar trebui să fie crescută.",
         "toast": {
@@ -104,13 +106,15 @@
           "regenerate": "O nouă descriere a fost solicitată de la {{provider}}. În funcție de viteza furnizorului tău, regenerarea noii descrieri poate dura ceva timp.",
           "updatedSublabel": "Subeticheta a fost actualizată cu succes.",
           "updatedLPR": "Plăcuța de înmatriculare a fost actualizată cu succes.",
-          "audioTranscription": "Transcrierea audio a fost solicitată cu succes."
+          "audioTranscription": "Transcrierea audio a fost solicitată cu succes. În funcție de viteza serverului dumneavoastră Frigate, transcrierea poate dura ceva timp până la finalizare.",
+          "updatedAttributes": "Atributele au fost actualizate cu succes."
         },
         "error": {
           "updatedSublabelFailed": "Nu s-a putut actualiza sub-etichetarea: {{errorMessage}}",
           "updatedLPRFailed": "Plăcuța de înmatriculare nu a putut fi actualizată: {{errorMessage}}",
           "regenerate": "Eroare la apelarea {{provider}} pentru o nouă descriere: {{errorMessage}}",
-          "audioTranscription": "Solicitarea transcrierii audio a eșuat: {{errorMessage}}"
+          "audioTranscription": "Solicitarea transcrierii audio a eșuat: {{errorMessage}}",
+          "updatedAttributesFailed": "Actualizarea atributelor a eșuat: {{errorMessage}}"
         }
       }
     },
@@ -158,6 +162,14 @@
     "regenerateFromThumbnails": "Regenerează din miniaturi",
     "score": {
       "label": "Scor"
+    },
+    "editAttributes": {
+      "title": "Editează atribute",
+      "desc": "Selectează atributele de clasificare pentru acest {{label}}"
+    },
+    "attributes": "Atribute de clasificare",
+    "title": {
+      "label": "Titlu"
     }
   },
   "exploreMore": "Explorează mai multe obiecte cu {{label}}",
@@ -200,12 +212,26 @@
     "audioTranscription": {
       "label": "Transcrie",
       "aria": "Solicită transcrierea audio"
+    },
+    "viewTrackingDetails": {
+      "label": "Vizualizați detaliile de urmărire",
+      "aria": "Vizualizați detaliile de urmărire"
+    },
+    "showObjectDetails": {
+      "label": "Afișează traseul obiectului"
+    },
+    "hideObjectDetails": {
+      "label": "Ascunde traseul obiectului"
+    },
+    "downloadCleanSnapshot": {
+      "label": "Descarcă un snapshot curat",
+      "aria": "Descarcă snapshot curat"
     }
   },
   "dialog": {
     "confirmDelete": {
       "title": "Confirmă ștergerea",
-      "desc": "Ștergerea acestui obiect urmărit elimină instantaneul, orice încorporări salvate și orice intrări asociate ciclului de viață al obiectului. Materialul video înregistrat al acestui obiect urmărit în vizualizarea Istoric <em>NU</em> va fi șters.<br /><br />Ești sigur că vrei să continui?"
+      "desc": "Ștergerea acestui obiect urmărit elimină snapshot-ul, orice încorporări salvate și orice intrări asociate detaliilor de urmărire. Materialul video înregistrat al acestui obiect urmărit în vizualizarea Istoric <em>NU</em> va fi șters.<br /><br />Ești sigur că vrei să continui?"
     }
   },
   "noTrackedObjects": "Nu au fost găsite obiecte urmărite",
@@ -217,12 +243,63 @@
         "error": "Ștergerea obiectului urmărit a eșuat: {{errorMessage}}"
       }
     },
-    "tooltip": "Potrivire {{type}} cu {{confidence}}%"
+    "tooltip": "Potrivire {{type}} cu {{confidence}}%",
+    "previousTrackedObject": "Obiectul urmărit anterior",
+    "nextTrackedObject": "Următorul obiect urmărit"
   },
   "aiAnalysis": {
     "title": "Analiză AI"
   },
   "concerns": {
     "label": "Îngrijorări"
+  },
+  "trackingDetails": {
+    "title": "Detalii de Urmărire",
+    "noImageFound": "Nu s-a găsit nicio imagine pentru acest marcaj de timp.",
+    "createObjectMask": "Creează Masca Obiectului",
+    "adjustAnnotationSettings": "Ajustează Setările de anotare",
+    "scrollViewTips": "Apasă pentru a vizualiza momentele semnificative din ciclul de viață al acestui obiect.",
+    "autoTrackingTips": "Pozițiile casetelor de delimitare vor fi inexacte pentru camerele cu urmărire automată.",
+    "count": "{{first}} din {{second}}",
+    "trackedPoint": "Punct Urmărit",
+    "lifecycleItemDesc": {
+      "visible": "detectat {{label}}",
+      "entered_zone": "{{label}} a intrat în {{zones}}",
+      "active": "{{label}} a devenit activ",
+      "stationary": "{{label}} a devenit staționar",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} detectat pentru {{label}}",
+        "other": "{{label}} recunoscut ca {{attribute}}"
+      },
+      "gone": "{{label}} a plecat",
+      "heard": "{{label}} auzit",
+      "external": "{{label}} detectat",
+      "header": {
+        "zones": "Zone",
+        "ratio": "Raport",
+        "area": "Aria",
+        "score": "Scor"
+      }
+    },
+    "annotationSettings": {
+      "title": "Setări de adnotare",
+      "showAllZones": {
+        "title": "Afișează toate",
+        "desc": "Afișează întotdeauna zonele pe cadrele în care obiectele au intrat într-o zonă."
+      },
+      "offset": {
+        "label": "Compensare adnotare",
+        "desc": "Aceste date provin din stream-ul de detectare al camerei tale, dar sunt suprapuse pe imaginile din stream-ul de înregistrare. Este puțin probabil ca cele două stream-uri să fie perfect sincronizate. Drept urmare, caseta delimitatoare și materialul video nu se vor alinia perfect. Poți folosi această setare pentru a decală adnotările înainte sau înapoi în timp, pentru a le alinia mai bine cu materialul înregistrat.",
+        "millisecondsToOffset": "Millisecunde pentru a decalca adnotările de detectare. <em>Implicit: 0</em>",
+        "tips": "Reduceți valoarea dacă redarea video este înaintea casetelor și punctelor de traseu și creșteți valoarea dacă redarea video este în urma acestora. Această valoare poate fi negativă.",
+        "toast": {
+          "success": "Decalajul de adnotare pentru {{camera}} a fost salvat în fișierul de configurare."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Slide-ul anterior",
+      "next": "Slide-ul următor"
+    }
   }
 }
diff --git a/web/public/locales/ro/views/exports.json b/web/public/locales/ro/views/exports.json
index 786b07150..fa9077459 100644
--- a/web/public/locales/ro/views/exports.json
+++ b/web/public/locales/ro/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "Eroare redenumire export: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Partajează exportul",
+    "downloadVideo": "Descarcă videoclipul",
+    "editName": "Editează numele",
+    "deleteExport": "Șterge exportul"
   }
 }
diff --git a/web/public/locales/ro/views/faceLibrary.json b/web/public/locales/ro/views/faceLibrary.json
index da9261d07..360143d5d 100644
--- a/web/public/locales/ro/views/faceLibrary.json
+++ b/web/public/locales/ro/views/faceLibrary.json
@@ -1,8 +1,8 @@
 {
   "description": {
-    "addFace": "Parcurge adăugarea unei colecții noi la biblioteca de fețe.",
+    "addFace": "Adaugă o colecție nouă în Biblioteca de fețe încărcând prima ta imagine.",
     "placeholder": "Introduceti un nume pentru aceasta colectie",
-    "invalidName": "Nume invalid. Numele poate conține doar litere, cifre, spații, apostrofuri, liniuțe de subliniere și cratime."
+    "invalidName": "Nume invalid. Numele pot include doar litere, cifre, spații, apostrofuri, underscore-uri și liniuțe."
   },
   "details": {
     "person": "Persoană",
@@ -20,15 +20,16 @@
   "createFaceLibrary": {
     "desc": "Creează o colecție nouă",
     "title": "Creează colecție",
-    "nextSteps": "Pentru a construi o bază solidă:<li>Folosește fila „antrenare” pentru a selecta și antrena pe imagini pentru fiecare persoană detectată.</li><li>Concentrează-te pe imagini frontale pentru cele mai bune rezultate; evită imaginile de antrenament care surprind fețe din unghiuri laterale.</li></ul>",
+    "nextSteps": "Pentru a construi o bază solidă:<li>Folosește fila „Recunoașteri Recente” pentru a selecta și antrena pe imagini pentru fiecare persoană detectată.</li><li>Concentrează-te pe imagini frontale pentru cele mai bune rezultate; evită imaginile de antrenament care surprind fețe din unghiuri laterale.</li></ul>",
     "new": "Crează o față nouă"
   },
   "collections": "Colecții",
   "documentTitle": "Bibliotecă fețe - Frigate",
   "train": {
     "empty": "Nu există încercări recente de recunoaștere facială",
-    "title": "Antrenează",
-    "aria": "Selectează antrenarea"
+    "title": "Recunoașteri Recente",
+    "aria": "Selectează Recunoașteri Recente",
+    "titleShort": "Recent"
   },
   "steps": {
     "description": {
@@ -69,7 +70,7 @@
       "deletedName_other": "{{count}} de fețe au fost șterse cu succes.",
       "trainedFace": "Față antrenată cu succes.",
       "renamedFace": "Fața a fost redenumită cu succes ca {{name}}",
-      "updatedFaceScore": "Scorul feței a fost actualizat cu succes.",
+      "updatedFaceScore": "Scorul feței a fost actualizat cu succes la {{name}} ({{score}}).",
       "deletedFace_one": "{{count}} față a fost ștersă cu succes.",
       "deletedFace_few": "{{count}} fețe au fost șterse cu succes.",
       "deletedFace_other": "{{count}} de fețe au fost șterse cu succes.",
@@ -88,7 +89,7 @@
   },
   "imageEntry": {
     "dropActive": "Trage imaginea aici…",
-    "dropInstructions": "Trage și plasează o imagine aici sau fă clic pentru a selecta",
+    "dropInstructions": "Trage și plasează sau lipește o imagine aici sau fă clic pentru a selecta",
     "maxSize": "Dimensiunea maximă: {{size}}MB",
     "validation": {
       "selectImage": "Te rog să selectezi un fișier imagine."
diff --git a/web/public/locales/ro/views/live.json b/web/public/locales/ro/views/live.json
index a998c49a8..7ddaa53d8 100644
--- a/web/public/locales/ro/views/live.json
+++ b/web/public/locales/ro/views/live.json
@@ -17,9 +17,9 @@
     },
     "move": {
       "clickMove": {
-        "label": "Fă click în cadrul imaginii pentru a centra camera",
-        "enable": "Activează clic pentru a muta",
-        "disable": "Dezactivează clic pentru a muta"
+        "label": "Apasă în cadrul imaginii pentru a centra camera",
+        "enable": "Activează mutarea prin clic",
+        "disable": "Dezactivează mutarea prin clic"
       },
       "left": {
         "label": "Mișcă camera PTZ spre stânga"
@@ -36,7 +36,7 @@
     },
     "frame": {
       "center": {
-        "label": "Fă clic în cadru pentru a centra camera PTZ"
+        "label": "Apasă în cadru pentru a centra camera PTZ"
       }
     },
     "presets": "Presetări cameră PTZ",
@@ -86,8 +86,8 @@
     "disable": "Ascunde statisticile de streaming"
   },
   "manualRecording": {
-    "title": "Înregistrare la cerere",
-    "tips": "Pornește un eveniment manual bazat pe setările de păstrare a înregistrărilor pentru această cameră.",
+    "title": "La-cerere",
+    "tips": "Descarcă un snapshot instant sau pornește un eveniment manual pe baza setărilor de reținere a înregistrărilor acestei camere.",
     "playInBackground": {
       "label": "Redă în fundal",
       "desc": "Activează această opțiune pentru a continua redarea streaming-ului chiar și atunci când playerul este ascuns."
@@ -100,7 +100,7 @@
     "start": "Pornește înregistrarea la cerere",
     "started": "Înregistrare la cerere pornită manual.",
     "failedToStart": "Nu s-a putut porni înregistrarea manuală la cerere.",
-    "recordDisabledTips": "Deoarece înregistrarea este dezactivată sau restricționată în configurația pentru această cameră, va fi salvată doar o captură de ecran.",
+    "recordDisabledTips": "Deoarece înregistrarea este dezactivată sau restricționată în configurația pentru această cameră, doar un snapshot va fi salvat.",
     "end": "Oprește înregistrarea la cerere",
     "ended": "Înregistrarea manuală la cerere s-a încheiat.",
     "failedToEnd": "Nu s-a reușit încheierea înregistrării manuale la cerere."
@@ -134,6 +134,9 @@
     "playInBackground": {
       "label": "Redare în fundal",
       "tips": "Activează această opțiune pentru a continua streaming-ul când player-ul este ascuns."
+    },
+    "debug": {
+      "picker": "Selectarea stream-ului nu este disponibilă în modul de depanare. Vizualizarea de depanare folosește întotdeauna stream-ul atribuit rolului de detectare."
     }
   },
   "cameraSettings": {
@@ -167,5 +170,20 @@
   "transcription": {
     "enable": "Activează transcrierea audio în timp real",
     "disable": "Dezactivează transcrierea audio în timp real"
+  },
+  "snapshot": {
+    "takeSnapshot": "Descarcă snapshot instant",
+    "noVideoSource": "Nicio sursă video disponibilă pentru snapshot.",
+    "captureFailed": "Eșec la capturarea snapshot-ului.",
+    "downloadStarted": "Descărcarea snapshot-ului a început."
+  },
+  "noCameras": {
+    "title": "Nicio Cameră Configurată",
+    "description": "Începe prin a conecta o cameră la Frigate.",
+    "buttonText": "Adaugă cameră",
+    "restricted": {
+      "title": "Nicio Cameră Disponibilă",
+      "description": "Nu aveți permisiunea de a vizualiza camere în acest grup."
+    }
   }
 }
diff --git a/web/public/locales/ro/views/search.json b/web/public/locales/ro/views/search.json
index 9e80fdc3b..5c5f391e8 100644
--- a/web/public/locales/ro/views/search.json
+++ b/web/public/locales/ro/views/search.json
@@ -26,14 +26,15 @@
       "max_speed": "Viteza maximă",
       "recognized_license_plate": "Număr de înmatriculare recunoscut",
       "has_clip": "Are videoclip",
-      "has_snapshot": "Are snapshot"
+      "has_snapshot": "Are snapshot",
+      "attributes": "Atribute"
     },
     "tips": {
       "desc": {
         "step1": "Tastează un nume de filtru urmat de două puncte (ex. „camere:” ).",
         "step3": "Folosește mai multe filtre adăugându-le unul după altul, separate prin spațiu.",
         "step4": "Filtrele de dată (înainte: și după:) folosesc formatul {{DateFormat}}.",
-        "step6": "Elimină filtrele făcând clic pe „X”-ul de lângă ele.",
+        "step6": "Elimină filtrele apăsând pe „X”-ul de lângă ele.",
         "exampleLabel": "Exemplu:",
         "step5": "Filtrul pentru intervalul de timp folosește formatul {{exampleTime}}.",
         "step2": "Selectează o valoare din sugestii sau tastează propria valoare.",
diff --git a/web/public/locales/ro/views/settings.json b/web/public/locales/ro/views/settings.json
index 2dcb1a4ed..a85f852cd 100644
--- a/web/public/locales/ro/views/settings.json
+++ b/web/public/locales/ro/views/settings.json
@@ -8,9 +8,11 @@
     "notifications": "Setări notificări - Frigate",
     "motionTuner": "Ajustare mișcare - Frigate",
     "object": "Depanare - Frigate",
-    "general": "Setări generale - Frigate",
+    "general": "Setări interfață - Frigate",
     "frigatePlus": "Setări Frigate+ - Frigate",
-    "enrichments": "Setări de Îmbogățiri - Frigate"
+    "enrichments": "Setări de Îmbogățiri - Frigate",
+    "cameraManagement": "Gestionează Camerele - Frigate",
+    "cameraReview": "Setări Revizuire Cameră - Frigate"
   },
   "menu": {
     "ui": "Interfață utilizator",
@@ -22,7 +24,10 @@
     "users": "Utilizatori",
     "notifications": "Notificări",
     "frigateplus": "Frigate+",
-    "triggers": "Declanșatoare"
+    "triggers": "Declanșatoare",
+    "roles": "Roluri",
+    "cameraManagement": "Administrare",
+    "cameraReview": "Revizuire"
   },
   "dialog": {
     "unsavedChanges": {
@@ -35,7 +40,7 @@
     "noCamera": "Nicio cameră"
   },
   "general": {
-    "title": "Setări generale",
+    "title": "Setări interfață",
     "liveDashboard": {
       "title": "Tabloul de bord live",
       "automaticLiveView": {
@@ -45,6 +50,14 @@
       "playAlertVideos": {
         "label": "Redă videoclipurile de alertă",
         "desc": "În mod implicit, alertele recente din panoul Live se redau ca videoclipuri mici, ce ruleaza repetat. Dezactivează această opțiune pentru a afișa doar o imagine statică a alertelor recente pe acest dispozitiv/browser."
+      },
+      "displayCameraNames": {
+        "label": "Afișează întotdeauna numele camerelor",
+        "desc": "Afișează întotdeauna numele camerelor într-un indicator în tabloul de bord cu vizualizare live pe mai multe camere."
+      },
+      "liveFallbackTimeout": {
+        "label": "Timp de expirare pentru redarea live",
+        "desc": "Când stream-ul live de înaltă calitate al unei camere nu este disponibil, revino la modul cu lățime de bandă scăzută după acest număr de secunde. Implicit: 3."
       }
     },
     "storedLayouts": {
@@ -245,7 +258,7 @@
       "name": {
         "inputPlaceHolder": "Introdu un nume…",
         "title": "Nume",
-        "tips": "Numele trebuie să aibă cel puțin 2 caractere și nu trebuie să fie identic cu numele unei camere sau al unei alte zone existente."
+        "tips": "Numele trebuie să aibă cel puțin 2 caractere, să conțină cel puțin o literă și să nu fie numele unei camere sau al unei alte zone din această cameră."
       },
       "inertia": {
         "title": "Inerție",
@@ -262,9 +275,9 @@
         "desc": "Specifică o viteză minimă pe care trebuie să o aibă obiectele pentru a fi considerate în această zonă."
       },
       "documentTitle": "Editează zone - Frigate",
-      "clickDrawPolygon": "Click pentru a desena un poligon pe imagine.",
+      "clickDrawPolygon": "Apasă pentru a desena un poligon pe imagine.",
       "toast": {
-        "success": "Zona ({{zoneName}}) a fost salvată. Repornește Frigate pentru a aplica modificările."
+        "success": "Zona ({{zoneName}}) a fost salvată."
       },
       "label": "Zone",
       "objects": {
@@ -277,7 +290,7 @@
       "point_one": "{{count}} punct",
       "point_few": "{{count}} puncte",
       "point_other": "{{count}} de puncte",
-      "clickDrawPolygon": "Fă click pentru a desena un poligon pe imagine.",
+      "clickDrawPolygon": "Fă clic pentru a desena un poligon pe imagine.",
       "label": "Măști de mișcare",
       "documentTitle": "Editează masca de mișcare - Frigate",
       "desc": {
@@ -292,8 +305,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} a fost salvat. Repornește Frigate pentru a aplica modificările.",
-          "noName": "Masca de mișcare a fost salvată.Repornește Frigate pentru a aplica modificările."
+          "title": "{{polygonName}} a fost salvat.",
+          "noName": "Masca de mișcare a fost salvată."
         }
       },
       "polygonAreaTooLarge": {
@@ -321,11 +334,11 @@
       },
       "toast": {
         "success": {
-          "noName": "Masca de obiecte a fost salvată. Repornește Frigate pentru a aplica modificările.",
-          "title": "{{polygonName}} a fost salvat. Repornește Frigate pentru a aplica modificările."
+          "noName": "Masca de obiecte a fost salvată.",
+          "title": "{{polygonName}} a fost salvat."
         }
       },
-      "clickDrawPolygon": "Fă click pentru a desena un poligon pe imagine.",
+      "clickDrawPolygon": "Fă clic pentru a desena un poligon pe imagine.",
       "context": "Măștile de filtrare a obiectelor sunt folosite pentru a elimina falsele pozitive pentru un anumit tip de obiect, în funcție de locația acestuia."
     },
     "restart_required": "Repornire necesară (măști/zone modificate)",
@@ -349,7 +362,8 @@
           "mustNotContainPeriod": "Numele zonei nu trebuie să conțină puncte.",
           "hasIllegalCharacter": "Numele zonei conține caractere nepermise.",
           "mustNotBeSameWithCamera": "Numele zonei nu trebuie să fie identic cu numele camerei.",
-          "alreadyExists": "O zonă cu acest nume există deja pentru această cameră."
+          "alreadyExists": "O zonă cu acest nume există deja pentru această cameră.",
+          "mustHaveAtLeastOneLetter": "Numele zonei trebuie să aibă cel puțin o literă."
         }
       },
       "polygonDrawing": {
@@ -489,7 +503,16 @@
           },
           "title": "Parolă",
           "match": "Parolele se potrivesc",
-          "notMatch": "Parolele nu se potrivesc"
+          "notMatch": "Parolele nu se potrivesc",
+          "show": "Afișează parola",
+          "hide": "Ascunde parola",
+          "requirements": {
+            "title": "Cerințe parolă:",
+            "length": "Cel puțin 8 caracter",
+            "uppercase": "Cel puțin o literă majusculă",
+            "digit": "Cel puțin o cifră",
+            "special": "Cel puțin un caracter special (!@#$%^&*(),.?\":{}|<>)"
+          }
         },
         "passwordIsRequired": "Este nevoie de parolă",
         "user": {
@@ -504,7 +527,11 @@
             "placeholder": "Re-introdu parola nouă"
           }
         },
-        "usernameIsRequired": "Este nevoie de numele de utilizator"
+        "usernameIsRequired": "Este nevoie de numele de utilizator",
+        "currentPassword": {
+          "title": "Parola curentă",
+          "placeholder": "Introduceți parola curentă"
+        }
       },
       "createUser": {
         "confirmPassword": "Te rog să confirmi parola",
@@ -517,7 +544,12 @@
         "doNotMatch": "Parolele nu se potrivesc",
         "updatePassword": "Actualizează parola pentru {{username}}",
         "setPassword": "Schimbă parola",
-        "desc": "Creează o parolă puternică pentru a securiza acest cont."
+        "desc": "Creează o parolă puternică pentru a securiza acest cont.",
+        "currentPasswordRequired": "Parola curentă este obligatorie",
+        "incorrectCurrentPassword": "Parola curentă incorectă",
+        "passwordVerificationFailed": "Nu s-a putut verifica parola",
+        "multiDeviceWarning": "Orice alte dispozitive pe care ești autentificat vor trebui să se autentifice din nou în termen de {{refresh_time}}.",
+        "multiDeviceAdmin": "De asemenea, poți forța toți utilizatorii să se reautentifice imediat prin rotirea secretului tău JWT."
       }
     },
     "addUser": "Adaugă utilizator",
@@ -539,7 +571,7 @@
         "deleteUserFailed": "Ștergerea utilizatorului a eșuat: {{errorMessage}}"
       }
     },
-    "updatePassword": "Actualizează parola",
+    "updatePassword": "Resetează parola",
     "title": "Utilizatori",
     "table": {
       "username": "Nume utilizator",
@@ -548,7 +580,7 @@
       "noUsers": "Nu a fost găsit niciun utilizator.",
       "changeRole": "Schimbă rolul utilizatorului",
       "deleteUser": "Șterge utilizatorul",
-      "password": "Parolă"
+      "password": "Resetează parola"
     }
   },
   "notification": {
@@ -676,7 +708,7 @@
   "triggers": {
     "documentTitle": "Declanșatoare",
     "management": {
-      "title": "Gestionarea declanșatoarelor",
+      "title": "Declanșatoare",
       "desc": "Gestionează declanșatoarele pentru {{camera}}. Folosește tipul miniatură pentru a declanșa pe miniaturi similare cu obiectul urmărit selectat și tipul descriere pentru a declanșa pe descrieri similare textului pe care îl specifici."
     },
     "addTrigger": "Adaugă declanșator",
@@ -697,7 +729,9 @@
     },
     "actions": {
       "alert": "Marchează ca alertă",
-      "notification": "Trimite notificare"
+      "notification": "Trimite notificare",
+      "sub_label": "Adaugă subeticheta",
+      "attribute": "Adaugă atribut"
     },
     "dialog": {
       "createTrigger": {
@@ -715,25 +749,28 @@
       "form": {
         "name": {
           "title": "Nume",
-          "placeholder": "Introdu numele declanșatorului",
+          "placeholder": "Denumește acest declanșator",
           "error": {
-            "minLength": "Numele trebuie să aibă cel puțin 2 caractere.",
-            "invalidCharacters": "Numele poate conține doar litere, cifre, underscore-uri și cratime.",
+            "minLength": "Câmpul trebuie să aibă cel puțin 2 caractere.",
+            "invalidCharacters": "Câmpul poate conține doar litere, cifre, underscore-uri și cratime.",
             "alreadyExists": "Un declanșator cu acest nume există deja pentru această cameră."
-          }
+          },
+          "description": "Introduceți un nume sau o descriere unică pentru a identifica acest declanșator"
         },
         "enabled": {
           "description": "Activează sau dezactivează acest declanșator"
         },
         "type": {
           "title": "Tip",
-          "placeholder": "Selectează tipul de declanșator"
+          "placeholder": "Selectează tipul de declanșator",
+          "description": "Declanșează atunci când este detectată o descriere de obiect urmărit similară",
+          "thumbnail": "Declanșează atunci când este detectată o miniatură de obiect urmărit similară"
         },
         "content": {
           "title": "Conținut",
-          "imagePlaceholder": "Selectează o imagine",
+          "imagePlaceholder": "Selectează o miniatură",
           "textPlaceholder": "Introdu conținutul textului",
-          "imageDesc": "Selectează o imagine pentru a declanșa această acțiune atunci când o imagine similară este detectată.",
+          "imageDesc": "Sunt afișate doar ultimele 100 de miniaturi. Dacă nu găsiți miniatura dorită, vă rugăm să verificați obiectele anterioare în Explorator și să configurați un declanșator din meniul de acolo.",
           "textDesc": "Introduceți textul pentru a declanșa această acțiune atunci când este detectată o descriere de obiect urmărit similară.",
           "error": {
             "required": "Conținutul este obligatoriu."
@@ -744,14 +781,20 @@
           "error": {
             "min": "Pragul trebuie să fie cel puțin 0",
             "max": "Pragul trebuie să fie cel mult 1"
-          }
+          },
+          "desc": "Setați pragul de similitudine pentru acest declanșator. Un prag mai mare înseamnă că este necesară o potrivire mai apropiată pentru declanșarea acestuia."
         },
         "actions": {
           "title": "Acțiuni",
-          "desc": "Implicit, Frigate trimite un mesaj MQTT pentru toate declanșatoarele. Alegeți o acțiune suplimentară de efectuat atunci când acest declanșator se activează.",
+          "desc": "În mod implicit, Frigate trimite un mesaj MQTT pentru toate declanșatoarele. Subetichetele adaugă numele declanșatorului la eticheta obiectului. Atributele sunt metadate căutabile, stocate separat în metadatele obiectului urmărit.",
           "error": {
             "min": "Trebuie selectată cel puțin o acțiune."
           }
+        },
+        "friendly_name": {
+          "title": "Nume prietenos",
+          "placeholder": "Denumește sau descrie acest declanșator",
+          "description": "Un nume prietenos opțional sau un text descriptiv pentru acest declanșator."
         }
       }
     },
@@ -766,6 +809,27 @@
         "updateTriggerFailed": "Actualizarea declanșatorului a eșuat: {{errorMessage}}",
         "deleteTriggerFailed": "Eliminarea declanșatorului a eșuat: {{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "title": "Căutarea semantică este dezactivată",
+      "desc": "Căutarea semantică trebuie să fie activată pentru a utiliza declanșatoarele."
+    },
+    "wizard": {
+      "title": "Creează declanșator",
+      "step1": {
+        "description": "Configurează setările de bază pentru declanșatorul tău."
+      },
+      "step2": {
+        "description": "Configurează conținutul care va declanșa această acțiune."
+      },
+      "step3": {
+        "description": "Configurează pragul și acțiunile pentru acest declanșator."
+      },
+      "steps": {
+        "nameAndType": "Nume și Tip",
+        "configureData": "Configurează datele",
+        "thresholdAndActions": "Prag și Acțiuni"
+      }
     }
   },
   "roles": {
@@ -787,7 +851,9 @@
         "createRole": "Rolul {{role}} a fost creat cu succes",
         "updateCameras": "Camerele au fost actualizate pentru rolul {{role}}",
         "deleteRole": "Rolul {{role}} a fost șters cu succes",
-        "userRolesUpdated": "{{count}} utilizator(i) atribuiți acestui rol au fost actualizați la „vizualizator”, care are acces la toate camerele."
+        "userRolesUpdated_one": "{{count}} utilizator atribuit acestui rol a fost actualizat la „vizualizator”, care are acces la toate camerele.",
+        "userRolesUpdated_few": "{{count}} utilizatori atribuiți acestui rol au fost actualizați la „vizualizatori”, care are acces la toate camerele.",
+        "userRolesUpdated_other": "{{count}} de utilizatori atribuiți acestui rol au fost actualizați la „vizualizatori”, care are acces la toate camerele."
       },
       "error": {
         "createRoleFailed": "Crearea rolului a eșuat: {{errorMessage}}",
@@ -827,5 +893,358 @@
         }
       }
     }
+  },
+  "cameraWizard": {
+    "title": "Adaugă cameră",
+    "description": "Urmează pașii de mai jos pentru a adăuga o cameră nouă la sistemul tău Frigate.",
+    "steps": {
+      "nameAndConnection": "Nume și Conexiune",
+      "streamConfiguration": "Configurare streaming",
+      "validationAndTesting": "Validare și Testare",
+      "probeOrSnapshot": "Sondează sau fă snapshot"
+    },
+    "save": {
+      "success": "Camera nouă {{cameraName}} a fost salvată cu succes.",
+      "failure": "Eroare la salvarea {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Rezoluție",
+      "video": "Video",
+      "audio": "Audio",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Te rog să furnizezi un URL de streaming valid",
+      "testFailed": "Testul de streaming a eșuat: {{error}}"
+    },
+    "step1": {
+      "description": "Introduceți detaliile camerei și alegeți să testați camera sau să selectați manual marca.",
+      "cameraName": "Nume cameră",
+      "cameraNamePlaceholder": "ex. usă_intrare sau Vedere Curte Spate",
+      "host": "Gazdă/Adresă IP",
+      "port": "Port",
+      "username": "Nume de utilizator",
+      "usernamePlaceholder": "Opțional",
+      "password": "Parolă",
+      "passwordPlaceholder": "Opțional",
+      "selectTransport": "Selectează protocolul de transport",
+      "cameraBrand": "Brand cameră",
+      "selectBrand": "Selectează marca camerei pentru șablonul de URL",
+      "customUrl": "URL Streaming Personalizat",
+      "brandInformation": "Informații despre brand",
+      "brandUrlFormat": "Pentru camere cu formatul URL RTSP ca: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://utilizator:parolă@gazdă:port/cale",
+      "testConnection": "Testează Conexiunea",
+      "testSuccess": "Testul de conexiune a reușit!",
+      "testFailed": "Testul de conexiune a eșuat. Te rog să verifici datele introduse și să încerci din nou.",
+      "streamDetails": "Detalii stream",
+      "warnings": {
+        "noSnapshot": "Nu se poate obține un snapshot de pe stream-ul configurat."
+      },
+      "errors": {
+        "brandOrCustomUrlRequired": "Ori selectează un brand de cameră cu adresă gazdă/IP, ori alege „Alta” cu un URL personalizat",
+        "nameRequired": "Numele camerei este obligatoriu",
+        "nameLength": "Numele camerei trebuie să aibă 64 de caractere sau mai puțin",
+        "invalidCharacters": "Numele camerei conține caractere nevalide",
+        "nameExists": "Numele camerei există deja",
+        "brands": {
+          "reolink-rtsp": "RTSP Reolink nu este recomandat. Activează HTTP în setările firmware ale camerei și repornește asistentul."
+        },
+        "customUrlRtspRequired": "URL-urile personalizate trebuie să înceapă cu \"rtsp://\". Este necesară configurare manuală pentru stream-urile de cameră non-RTSP."
+      },
+      "docs": {
+        "reolink": "https://docs.frigate.video/configuration/camera_specific.html#reolink-cameras"
+      },
+      "testing": {
+        "probingMetadata": "Sondare metadate cameră...",
+        "fetchingSnapshot": "Preluare snapshot cameră..."
+      },
+      "connectionSettings": "Setări conexiune",
+      "detectionMethod": "Metoda de detecție stream",
+      "onvifPort": "Port ONVIF",
+      "probeMode": "Sondare cameră",
+      "manualMode": "Selecție manuală",
+      "detectionMethodDescription": "Sondează camera cu ONVIF (dacă este suportat) pentru a găsi URL-urile de stream ale camerei, sau selectează manual marca camerei pentru a utiliza URL-uri predefinite. Pentru a introduce un URL RTSP personalizat, alege metoda manuală și selectează \"Altele\".",
+      "onvifPortDescription": "Pentru camerele care suportă ONVIF, acesta este de obicei 80 sau 8080.",
+      "useDigestAuth": "Utilizați autentificarea digest",
+      "useDigestAuthDescription": "Utilizați autentificarea HTTP digest pentru ONVIF. Unele camere pot necesita un nume de utilizator/parolă ONVIF dedicat în locul utilizatorului standard de administrare."
+    },
+    "step2": {
+      "description": "Testează camera pentru fluxurile disponibile sau configurează setările manuale pe baza metodei de detectare selectate.",
+      "streamsTitle": "Stream-uri cameră",
+      "addStream": "Adaugă stream",
+      "addAnotherStream": "Adaugă un alt stream",
+      "streamTitle": "Stream {{number}}",
+      "streamUrl": "URL stream",
+      "streamUrlPlaceholder": "rtsp://utilizator:parolă@gazdă:port/cale",
+      "url": "URL",
+      "resolution": "Rezoluție",
+      "selectResolution": "Selectează rezoluția",
+      "quality": "Calitate",
+      "selectQuality": "Selectează calitatea",
+      "roles": "Roluri",
+      "roleLabels": {
+        "detect": "Detecție obiecte",
+        "record": "Înregistrare",
+        "audio": "Audio"
+      },
+      "testStream": "Testează conexiunea",
+      "testSuccess": "Testul de conexiune a fost realizat cu succes!",
+      "testFailed": "Testul de conexiune a eșuat. Verifică datele introduse și încearcă din nou.",
+      "testFailedTitle": "Test eșuat",
+      "connected": "Conectat",
+      "notConnected": "Neconectat",
+      "featuresTitle": "Funcționalități",
+      "go2rtc": "Redu conexiunile la cameră",
+      "detectRoleWarning": "Cel puțin un stream trebuie să aibă rolul „detectare” pentru a continua.",
+      "rolesPopover": {
+        "title": "Roluri de streaming",
+        "detect": "Stream principal pentru detecția obiectelor.",
+        "record": "Salvează segmente ale stream-ului video pe baza setărilor de configurare.",
+        "audio": "Stream pentru detecția bazată pe sunet."
+      },
+      "featuresPopover": {
+        "title": "Funcționalități streaming",
+        "description": "Folosește restreaming go2rtc pentru a reduce conexiunile la cameră."
+      },
+      "streamDetails": "Detalii stream",
+      "probing": "Se sondează camera...",
+      "retry": "Reîncercare",
+      "testing": {
+        "probingMetadata": "Se sondează metadatele camerei...",
+        "fetchingSnapshot": "Se aduce snapshot cameră..."
+      },
+      "probeFailed": "Sondarea camerei a eșuat: {{error}}",
+      "probingDevice": "Se sondează dispozitivul...",
+      "probeSuccessful": "Sondare reușită",
+      "probeError": "Eroare la sondare",
+      "probeNoSuccess": "Sondare nereușită",
+      "deviceInfo": "Informații dispozitiv",
+      "manufacturer": "Producător",
+      "model": "Model",
+      "firmware": "Firmware",
+      "profiles": "Profiluri",
+      "ptzSupport": "Suport PTZ",
+      "autotrackingSupport": "Suport autourmărire",
+      "presets": "Presetări",
+      "rtspCandidates": "Candidați RTSP",
+      "rtspCandidatesDescription": "Următoarele URL-uri RTSP au fost găsite în urma sondării camerei. Testați conexiunea pentru a vizualiza metadatele stream-ului.",
+      "noRtspCandidates": "Nu au fost găsite URL-uri RTSP de la cameră. Este posibil ca datele dumneavoastră de autentificare să fie incorecte, sau este posibil ca aparatul foto să nu suporte ONVIF sau metoda utilizată pentru a prelua URL-urile RTSP. Întoarceți-vă și introduceți URL-ul RTSP manual.",
+      "candidateStreamTitle": "Candidat {{number}}",
+      "useCandidate": "Folosește",
+      "uriCopy": "Copiază",
+      "uriCopied": "URI copiat în clipboard",
+      "testConnection": "Testează conexiunea",
+      "toggleUriView": "Click pentru a comuta vizualizarea URI completă",
+      "errors": {
+        "hostRequired": "Gazdă/adresaIP este necesară"
+      }
+    },
+    "step3": {
+      "description": "Configurează rolurile stream-ului și adaugă stream-uri suplimentare pentru camera ta.",
+      "validationTitle": "Validare stream",
+      "connectAllStreams": "Conectează toate stream-urile",
+      "reconnectionSuccess": "Reconectare reușită.",
+      "reconnectionPartial": "Unele stram-uri nu s-au reconectat.",
+      "streamUnavailable": "Previzualizare streaming indisponibilă",
+      "reload": "Reîncarcă",
+      "connecting": "Conectare...",
+      "streamTitle": "Stream {{number}}",
+      "valid": "Valid",
+      "failed": "Eșuat",
+      "notTested": "Netestat",
+      "connectStream": "Conectare",
+      "connectingStream": "Se conectează",
+      "disconnectStream": "Deconectare",
+      "estimatedBandwidth": "Lățime de bandă estimată",
+      "roles": "Roluri",
+      "none": "Niciunul",
+      "error": "Eroare",
+      "streamValidated": "Stream {{number}} validat cu succes",
+      "streamValidationFailed": "Validarea pentru stream {{number}} a eșuat",
+      "saveAndApply": "Salvează Camera Nouă",
+      "saveError": "Configurație invalidă. Verifică setările.",
+      "issues": {
+        "title": "Validare stream",
+        "videoCodecGood": "Codecul video este {{codec}}.",
+        "audioCodecGood": "Codecul audio este {{codec}}.",
+        "noAudioWarning": "Nu s-a detectat audio pentru acest strem, înregistrările nu vor avea sunet.",
+        "audioCodecRecordError": "Codec-ul audio AAC este necesar pentru a suporta audio în înregistrări.",
+        "audioCodecRequired": "Un stream audio este necesar pentru a suporta detecția audio.",
+        "restreamingWarning": "Reducerea conexiunilor la cameră pentru stream-ul de înregistrare poate crește ușor utilizarea procesorului.",
+        "dahua": {
+          "substreamWarning": "Substream-ul 1 este blocat la o rezoluție scăzută. Multe camere Dahua / Amcrest / EmpireTech suportă substream-uri suplimentare care trebuie să fie activate în setările camerei. Este recomandat să verifici și să utilizezi acele stream-uri, dacă sunt disponibile."
+        },
+        "hikvision": {
+          "substreamWarning": "Substream-ul 1 este blocat la o rezoluție scăzută. Multe camere Hikvision suportă substream-uri suplimentare care trebuie să fie activate în setările camerei. Este recomandat să verifici și să utilizezi acele strem-uri, dacă sunt disponibile."
+        },
+        "resolutionHigh": "O rezoluție de {{resolution}} poate cauza o utilizare crescută a resurselor.",
+        "resolutionLow": "O rezoluție de {{resolution}} poate fi prea mică pentru detectarea fiabilă a obiectelor mici."
+      },
+      "ffmpegModule": "Folosește modul de compatibilitate pentru stream-uri",
+      "ffmpegModuleDescription": "Dacă fluxul nu se încarcă după mai multe încercări, activați această opțiune. Când este activată, Frigate va folosi modulul ffmpeg împreună cu go2rtc. Aceasta poate oferi o compatibilitate mai bună cu unele fluxuri de camere.",
+      "streamsTitle": "Stream-uri cameră",
+      "addStream": "Adaugă stream",
+      "addAnotherStream": "Adaugă alt stream",
+      "streamUrl": "URL stream",
+      "streamUrlPlaceholder": "rtsp://utilizator:parolă@adresaIP:port/cale",
+      "selectStream": "Selectați un flux",
+      "searchCandidates": "Căutați candidați...",
+      "noStreamFound": "Niciun stream găsit",
+      "url": "URL",
+      "resolution": "Rezoluție",
+      "quality": "Calitate",
+      "selectResolution": "Selectează rezoluția",
+      "selectQuality": "Selectează calitatea",
+      "roleLabels": {
+        "detect": "Detecție Obiect",
+        "record": "Înregistrare",
+        "audio": "Audio"
+      },
+      "testStream": "Testează conexiunea",
+      "testSuccess": "Testul stream-ului a avut succes!",
+      "testFailed": "Testul stream-ului a eșuat",
+      "testFailedTitle": "Testul a eșuat",
+      "connected": "Conectat",
+      "notConnected": "Neconectat",
+      "featuresTitle": "Funcționalități",
+      "go2rtc": "Reduceți conexiunile la cameră",
+      "detectRoleWarning": "Cel puțin un stream trebuie să aibă rolul \"detect\" pentru a continua.",
+      "rolesPopover": {
+        "title": "Roluri stream",
+        "detect": "Stream principal pentru detecția obiectelor.",
+        "record": "Salvează segmente ale stream-ului video pe baza setărilor de configurare.",
+        "audio": "Stream pentru detecția bazată pe audio."
+      },
+      "featuresPopover": {
+        "title": "Funcționalități stream",
+        "description": "Utilizați go2rtc restreaming pentru a reduce conexiunile la cameră."
+      }
+    },
+    "step4": {
+      "description": "Validare finală și analiză înainte de a salva noua cameră. Conectați fiecare stream înainte de a salva.",
+      "validationTitle": "Validare stream",
+      "connectAllStreams": "Conectează toate stream-urile",
+      "reconnectionSuccess": "Reconectare reușită.",
+      "reconnectionPartial": "Unele stream-uri nu au reușit să se reconecteze.",
+      "streamUnavailable": "Previzualizare flux indisponibilă",
+      "reload": "Reîncarcă",
+      "connecting": "Conectare...",
+      "streamTitle": "Stream {{number}}",
+      "valid": "Valid",
+      "failed": "Eșuat",
+      "notTested": "Netestat",
+      "connectStream": "Conectare",
+      "connectingStream": "Se conectează",
+      "disconnectStream": "Deconectare",
+      "estimatedBandwidth": "Lățime de bandă estimată",
+      "roles": "Roluri",
+      "ffmpegModule": "Utilizează modul de compatibilitate stream",
+      "ffmpegModuleDescription": "Dacă stream-ul nu se încarcă după câteva încercări, activați această opțiune. Când este activată, Frigate va utiliza modulul ffmpeg cu go2rtc. Acest lucru poate oferi o compatibilitate mai bună cu unele stream-uri de cameră.",
+      "none": "Niciuna",
+      "error": "Eroare",
+      "streamValidated": "Stream-ul {{number}} validat cu succes",
+      "streamValidationFailed": "Validarea stream-ului {{number}} a eșuat",
+      "saveAndApply": "Salvează camera nouă",
+      "saveError": "Configurație nevalidă. Vă rugăm să vă verificați setările.",
+      "issues": {
+        "title": "Validare stream",
+        "videoCodecGood": "Codecul video: {{codec}}.",
+        "audioCodecGood": "Codecul audio: {{codec}}.",
+        "resolutionHigh": "O rezoluție de {{resolution}} poate cauza o utilizare crescută a resurselor.",
+        "resolutionLow": "O rezoluție de {{resolution}} ar putea fi prea mică pentru detectarea fiabilă a obiectelor mici.",
+        "noAudioWarning": "Nu a fost detectat audio pentru acest stream, înregistrările nu vor avea audio.",
+        "audioCodecRecordError": "Codec-ul audio AAC este necesar pentru a suporta audio în înregistrări.",
+        "audioCodecRequired": "Este necesar un stream audio pentru a suporta detecția audio.",
+        "restreamingWarning": "Reducerea conexiunilor la cameră pentru stream-ul de înregistrare poate crește ușor utilizarea procesorului (CPU).",
+        "brands": {
+          "reolink-rtsp": "RTSP Reolink nu este recomandat. Activați HTTP în setările de firmware ale camerei și reporniți asistentul.",
+          "reolink-http": "Stream-urile HTTP Reolink ar trebui să folosească FFmpeg pentru o compatibilitate mai bună. Activează 'Use stream compatibility mode' pentru acest stream."
+        },
+        "dahua": {
+          "substreamWarning": "Substream-ul 1 este blocat la o rezoluție scăzută. Multe camere Dahua / Amcrest / EmpireTech suportă stream-uri secundare suplimentare care trebuie activate în setările camerei. Se recomandă să verificați și să utilizați aceste stream-uri dacă sunt disponibile."
+        },
+        "hikvision": {
+          "substreamWarning": "Substream-ul 1 este blocat la o rezoluție scăzută. Multe camere Hikvision suportă stream-uri secundare suplimentare care trebuie activate în setările camerei. Se recomandă să verificați și să utilizați aceste stream-uri dacă sunt disponibile."
+        }
+      }
+    }
+  },
+  "cameraManagement": {
+    "title": "Administrează Camerele",
+    "addCamera": "Adaugă cameră nouă",
+    "editCamera": "Editează cameră:",
+    "selectCamera": "Selectează o cameră",
+    "backToSettings": "Înapoi la setările camerei",
+    "streams": {
+      "title": "Activează / dezactivează camere",
+      "desc": "Dezactivează temporar o cameră până la repornirea Frigate. Dezactivarea unei camere oprește complet procesarea streamingului acestei camere de către Frigate. Detecția, înregistrarea și depanarea vor fi indisponibile.<br /> <em>Notă: Aceasta nu dezactivează restreamingul go2rtc.</em>"
+    },
+    "cameraConfig": {
+      "add": "Adaugă cameră",
+      "edit": "Editează cameră",
+      "description": "Configurează setările camerei, inclusiv intrările și rolurile de streaming.",
+      "name": "Nume cameră",
+      "nameRequired": "Numele camerei este obligatoriu",
+      "nameLength": "Numele camerei trebuie să fie mai scurt de 64 de caractere.",
+      "namePlaceholder": "ex. ușă_intrare sau Vedere Curte Spate",
+      "enabled": "Activat",
+      "ffmpeg": {
+        "inputs": "Stream-uri de intrare",
+        "path": "Cale streaming",
+        "pathRequired": "Calea streaming este obligatorie",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "Roluri",
+        "rolesRequired": "Este necesar cel puțin un rol",
+        "rolesUnique": "Fiecare rol (audio, detectare, înregistrare) poate fi atribuit unui singur stream",
+        "addInput": "Adaugă stream de intrare",
+        "removeInput": "Elimină stream-ul de intrare",
+        "inputsRequired": "Este necesar cel puțin un stream de intrare"
+      },
+      "go2rtcStreams": "Streamuri go2rtc",
+      "streamUrls": "URL-uri streaming",
+      "addUrl": "Adaugă URL",
+      "addGo2rtcStream": "Adaugă stream go2rtc",
+      "toast": {
+        "success": "Camera {{cameraName}} salvată cu succes"
+      }
+    }
+  },
+  "cameraReview": {
+    "title": "Setări de Revizuire a Camerei",
+    "object_descriptions": {
+      "title": "Descrieri de Obiecte cu AI Generativ",
+      "desc": "Activează/dezactivează temporar descrierile de obiecte cu AI Generativ pentru această cameră. Când este dezactivată, descrierile generate de AI nu vor fi solicitate pentru obiectele urmărite pe această cameră."
+    },
+    "review_descriptions": {
+      "title": "Descrieri de revizuire cu AI Generativ",
+      "desc": "Activează/dezactivează temporar descrierile de revizuire cu AI Generativ pentru această cameră. Când este dezactivat, descrierile generate de AI nu vor fi solicitate pentru elementele de revizuire de pe această cameră."
+    },
+    "review": {
+      "title": "Revizuire",
+      "desc": "Activează/dezactivează temporar alertele și detecțiile pentru această cameră până la repornirea Frigate. Când este dezactivat, nu vor fi generate elemente de revizuire noi. ",
+      "alerts": "Alerte ",
+      "detections": "Detecții "
+    },
+    "reviewClassification": {
+      "title": "Clasificare revizuire",
+      "desc": "Frigate clasifică elementele de revizuire ca Alerte și Detecții. În mod implicit, toate obiectele de tip <em>persoană</em> și <em>mașină</em> sunt considerate Alerte. Poți rafina clasificarea elementelor tale de revizuire prin configurarea zonelor necesare pentru acestea.",
+      "noDefinedZones": "Nu sunt definite zone pentru această cameră.",
+      "objectAlertsTips": "Toate obiectele {{alertsLabels}} de pe {{cameraName}} vor fi afișate ca Alerte.",
+      "zoneObjectAlertsTips": "Toate obiectele {{alertsLabels}} detectate în {{zone}} pe {{cameraName}} vor fi afișate ca Alerte.",
+      "objectDetectionsTips": "Toate obiectele {{detectionsLabels}} necategorizate pe {{cameraName}} vor fi afișate ca Detecții indiferent de zona în care se află.",
+      "zoneObjectDetectionsTips": {
+        "text": "Toate obiectele {{detectionsLabels}} necategorizate în {{zone}} pe {{cameraName}} vor fi afișate ca Detecții.",
+        "notSelectDetections": "Toate obiectele {{detectionsLabels}} detectate în {{zone}} pe {{cameraName}} și necategorizate ca Alerte vor fi afișate ca Detecții indiferent de zona în care se află.",
+        "regardlessOfZoneObjectDetectionsTips": "Toate obiectele {{detectionsLabels}} necategorizate pe {{cameraName}} vor fi afișate ca Detecții indiferent de zona în care se află."
+      },
+      "unsavedChanges": "Setări de Clasificare Revizuire nesalvate pentru {{camera}}",
+      "selectAlertsZones": "Selectați zonele pentru Alerte",
+      "selectDetectionsZones": "Selectați zonele pentru Detecții",
+      "limitDetections": "Limitați detecțiile la zone specifice",
+      "toast": {
+        "success": "Configurația Clasificare Revizuire a fost salvată. Reporniți Frigate pentru a aplica modificările."
+      }
+    }
   }
 }
diff --git a/web/public/locales/ro/views/system.json b/web/public/locales/ro/views/system.json
index 057370448..6966f124f 100644
--- a/web/public/locales/ro/views/system.json
+++ b/web/public/locales/ro/views/system.json
@@ -42,6 +42,11 @@
         "closeInfo": {
           "label": "Închide informațiile GPU"
         }
+      },
+      "intelGpuWarning": {
+        "title": "Avertisment statistici GPU Intel",
+        "message": "Statistici GPU indisponibile",
+        "description": "Aceasta este o eroare cunoscută în instrumentele Intel pentru raportarea statisticilor GPU (intel_gpu_top), unde acestea se blochează și returnează repetat o utilizare GPU de 0%, chiar și în cazurile în care accelerarea hardware și detectarea obiectelor rulează corect pe (i)GPU. Aceasta nu este o eroare Frigate. Poți reporni gazda pentru a remedia temporar problema și pentru a confirma că GPU-ul funcționează corect. Aceasta nu afectează performanța."
       }
     },
     "detector": {
@@ -55,7 +60,14 @@
     "otherProcesses": {
       "title": "Alte Procese",
       "processCpuUsage": "Utilizare CPU",
-      "processMemoryUsage": "Utilizare memorie"
+      "processMemoryUsage": "Utilizare memorie",
+      "series": {
+        "go2rtc": "go2rtc",
+        "recording": "înregistrare",
+        "review_segment": "segment de revizuire",
+        "embeddings": "înglobări",
+        "audio_detector": "detector audio"
+      }
     },
     "title": "General"
   },
@@ -121,17 +133,27 @@
       "face_recognition_speed": "Viteză recunoaștere facială",
       "plate_recognition_speed": "Viteză recunoaștere numere de înmatriculare",
       "face_embedding_speed": "Viteză încorporare fețe",
-      "yolov9_plate_detection_speed": "Viteza detectării numerelor de înmatriculare YOLOv9",
+      "yolov9_plate_detection_speed": "Viteza detecției numerelor de înmatriculare YOLOv9",
       "text_embedding_speed": "Viteză încorporare text",
-      "yolov9_plate_detection": "Detectare numere de înmatriculare YOLOv9"
+      "yolov9_plate_detection": "Detectare numere de înmatriculare YOLOv9",
+      "review_description": "Descriere Revizuire",
+      "review_description_speed": "Viteză Descriere Revizuire",
+      "review_description_events_per_second": "Descriere Revizuire",
+      "object_description": "Descriere Obiect",
+      "object_description_speed": "Viteză Descriere Obiect",
+      "object_description_events_per_second": "Descriere Obiect",
+      "classification": "{{name}} Clasificare",
+      "classification_speed": "{{name}} Viteză de clasificare",
+      "classification_events_per_second": "{{name}} Evenimente de clasificare pe secundă"
     },
-    "infPerSecond": "Inferențe pe secundă"
+    "infPerSecond": "Inferențe pe secundă",
+    "averageInf": "Timp Mediu de Inferență"
   },
   "cameras": {
     "info": {
       "codec": "Codec:",
       "resolution": "Rezoluție:",
-      "cameraProbeInfo": "Informații sondare cameră {{camera}}",
+      "cameraProbeInfo": "Informații testare cameră {{camera}}",
       "streamDataFromFFPROBE": "Datele stream-ului sunt obținute cu <code>ffprobe</code>.",
       "aspectRatio": "raport aspect",
       "fetching": "Se preiau datele camerei",
@@ -140,7 +162,7 @@
       "audio": "Sunet:",
       "error": "Eroare:{{error}}",
       "tips": {
-        "title": "Informații sondă cameră"
+        "title": "Informații test cameră"
       },
       "fps": "Cadre/s:",
       "unknown": "Necunoscut"
@@ -166,10 +188,10 @@
     "framesAndDetections": "Cadre / Detecții",
     "toast": {
       "success": {
-        "copyToClipboard": "Datele sondei au fost copiate."
+        "copyToClipboard": "Datele testului au fost copiate."
       },
       "error": {
-        "unableToProbeCamera": "Sondarea camerei nu a fost posibilă: {{errorMessage}}"
+        "unableToProbeCamera": "Testarea camerei nu a fost posibilă: {{errorMessage}}"
       }
     }
   },
diff --git a/web/public/locales/ru/audio.json b/web/public/locales/ru/audio.json
index 9f5e58530..e9e6bfc21 100644
--- a/web/public/locales/ru/audio.json
+++ b/web/public/locales/ru/audio.json
@@ -315,7 +315,7 @@
   "slam": "Хлопок",
   "knock": "Стук",
   "tap": "Небольшой стук",
-  "squeak": "Скрип",
+  "squeak": "Писк",
   "cupboard_open_or_close": "Открытие или закрытие шкафа",
   "drawer_open_or_close": "Открытие или закрытие ящика",
   "dishes": "Тарелки",
@@ -425,5 +425,79 @@
   "pink_noise": "Розовый шум",
   "hammer": "Молоток",
   "firecracker": "Петарда",
-  "television": "Телевидение"
+  "television": "Телевидение",
+  "echo": "Эхо",
+  "noise": "Шум",
+  "mains_hum": "Гул сети",
+  "cacophony": "Какофония",
+  "throbbing": "Пульсирующий",
+  "vibration": "Вибрация",
+  "sodeling": "Соделинг",
+  "chird": "Чирд",
+  "change_ringing": "Перезвон",
+  "shofar": "Шофар",
+  "liquid": "Жидкость",
+  "splash": "Брызги",
+  "slosh": "Плеск",
+  "squish": "Хлюпанье",
+  "drip": "Капля",
+  "pour": "Литьё",
+  "trickle": "Струйка",
+  "gush": "Бурный поток",
+  "fill": "Наполнение",
+  "spray": "Распыление",
+  "pump": "Насос",
+  "stir": "Перемешивание",
+  "boiling": "Кипение",
+  "sonar": "Сонар",
+  "arrow": "Стрела",
+  "whoosh": "Вжух",
+  "thump": "Глухой удар",
+  "thunk": "Тупой удар",
+  "electronic_tuner": "Электронный тюнер",
+  "effects_unit": "Блок эффектов",
+  "chorus_effect": "Эффект хоруса",
+  "basketball_bounce": "Отскок баскетбольного мяча",
+  "bang": "Бах",
+  "slap": "Шлепок",
+  "whack": "Удар",
+  "smash": "Разбивание",
+  "breaking": "Разрушение",
+  "bouncing": "Отскок",
+  "whip": "Хлыст",
+  "flap": "Хлопание",
+  "scratch": "Царапанье",
+  "scrape": "Скребок",
+  "rub": "Трение",
+  "roll": "Качение",
+  "crushing": "Дробление",
+  "crumpling": "Сминание",
+  "tearing": "Разрывание",
+  "beep": "Бип",
+  "ping": "Пинг",
+  "ding": "Динь",
+  "clang": "Лязг",
+  "squeal": "Визг",
+  "creak": "Скрипение",
+  "rustle": "Шуршание",
+  "whir": "Жужжание",
+  "clatter": "Грохот",
+  "sizzle": "Шипение",
+  "clicking": "Щелканье",
+  "clickety_clack": "Щелчок-Клак",
+  "rumble": "Грохотать",
+  "plop": "Плюх",
+  "hum": "Гул",
+  "zing": "Зинг",
+  "boing": "Боинг",
+  "crunch": "Хруст",
+  "sine_wave": "Синусоида",
+  "harmonic": "Гармоника",
+  "chirp_tone": "Тон чириканья",
+  "pulse": "Импульс",
+  "inside": "Внутри",
+  "outside": "Снаружи",
+  "reverberation": "Реверберация",
+  "distortion": "Искажение",
+  "sidetone": "Боковой тон"
 }
diff --git a/web/public/locales/ru/common.json b/web/public/locales/ru/common.json
index ee4a0df10..0de87d293 100644
--- a/web/public/locales/ru/common.json
+++ b/web/public/locales/ru/common.json
@@ -87,9 +87,12 @@
     "formattedTimestampMonthDayYear": {
       "12hour": "d MMM, yyyy",
       "24hour": "d MMM, yyyy"
-    }
+    },
+    "inProgress": "В процессе",
+    "invalidStartTime": "Некорректное время начала",
+    "invalidEndTime": "Некорректное время окончания"
   },
-  "selectItem": "Выбор {{item}}",
+  "selectItem": "Выбрать {{item}}",
   "button": {
     "apply": "Применить",
     "done": "Готово",
@@ -125,10 +128,16 @@
     "unselect": "Снять выбор",
     "export": "Экспортировать",
     "deleteNow": "Удалить сейчас",
-    "next": "Следующий"
+    "next": "Следующий",
+    "continue": "Продолжить"
   },
   "label": {
-    "back": "Вернуться"
+    "back": "Вернуться",
+    "hide": "Скрыть {{item}}",
+    "show": "Показать {{item}}",
+    "ID": "ID",
+    "all": "Все",
+    "none": "Ничего"
   },
   "unit": {
     "speed": {
@@ -138,6 +147,14 @@
     "length": {
       "meters": "метры",
       "feet": "футы"
+    },
+    "data": {
+      "kbps": "кБ/с",
+      "mbps": "МБ/с",
+      "gbps": "ГБ/с",
+      "kbph": "кБ/час",
+      "mbph": "МБ/час",
+      "gbph": "ГБ/час"
     }
   },
   "menu": {
@@ -240,7 +257,8 @@
       "logout": "Выход",
       "setPassword": "Установить пароль"
     },
-    "appearance": "Внешний вид"
+    "appearance": "Внешний вид",
+    "classification": "Распознование"
   },
   "pagination": {
     "label": "пагинация",
@@ -280,6 +298,17 @@
     "viewer": "Наблюдатель",
     "desc": "Администраторы имеют полный доступ ко всем функциям в интерфейсе Frigate. Наблюдатели ограничены просмотром камер, элементов просмотра и архивных записей."
   },
-  "selectItem": "Выбрать {{item}}",
-  "readTheDocumentation": "Читать документацию"
+  "readTheDocumentation": "Читать документацию",
+  "information": {
+    "pixels": "{{area}}px"
+  },
+  "list": {
+    "two": "{{0}} и {{1}}",
+    "many": "{{items}}, и {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "Необязательный",
+    "internalID": "Внутренний идентификатор Frigate, используемый в конфигурации и базе данных"
+  }
 }
diff --git a/web/public/locales/ru/components/auth.json b/web/public/locales/ru/components/auth.json
index b227af835..17b983914 100644
--- a/web/public/locales/ru/components/auth.json
+++ b/web/public/locales/ru/components/auth.json
@@ -10,6 +10,7 @@
       "loginFailed": "Ошибка входа",
       "unknownError": "Неизвестная ошибка. Проверьте логи.",
       "webUnknownError": "Неизвестная ошибка. Проверьте логи консоли."
-    }
+    },
+    "firstTimeLogin": "Пытаетесь войти в систему впервые? Учетные данные указаны в логах Frigate."
   }
 }
diff --git a/web/public/locales/ru/components/dialog.json b/web/public/locales/ru/components/dialog.json
index 748d079db..b935670c2 100644
--- a/web/public/locales/ru/components/dialog.json
+++ b/web/public/locales/ru/components/dialog.json
@@ -65,12 +65,13 @@
     "export": "Экспорт",
     "selectOrExport": "Выбрать или экспортировать",
     "toast": {
-      "success": "Экспорт успешно запущен. Файл доступен в папке /exports.",
+      "success": "Экспорт успешно запущен. Файл доступен на странице экспорта.",
       "error": {
         "failed": "Не удалось запустить экспорт: {{error}}",
         "noVaildTimeSelected": "Не выбран допустимый временной диапазон",
         "endTimeMustAfterStartTime": "Время окончания должно быть после времени начала"
-      }
+      },
+      "view": "Просмотр"
     },
     "fromTimeline": {
       "saveExport": "Сохранить экспорт",
@@ -120,7 +121,8 @@
     "button": {
       "export": "Экспорт",
       "markAsReviewed": "Пометить как просмотренное",
-      "deleteNow": "Удалить сейчас"
+      "deleteNow": "Удалить сейчас",
+      "markAsUnreviewed": "Отметить как непросмотренное"
     }
   },
   "imagePicker": {
@@ -128,6 +130,7 @@
       "placeholder": "Искать по метке..."
     },
     "selectImage": "Выбор миниатюры отслеживаемого объекта",
-    "noImages": "Не обнаружено миниатюр для этой камеры"
+    "noImages": "Не обнаружено миниатюр для этой камеры",
+    "unknownLabel": "Сохраненное изображение триггера"
   }
 }
diff --git a/web/public/locales/ru/components/filter.json b/web/public/locales/ru/components/filter.json
index 0b75d2347..095ea91ba 100644
--- a/web/public/locales/ru/components/filter.json
+++ b/web/public/locales/ru/components/filter.json
@@ -133,5 +133,9 @@
     },
     "count_one": "{{count}} класс",
     "count_other": "{{count}} классы"
+  },
+  "attributes": {
+    "label": "Атрибуты классификации",
+    "all": "Все атрибуты"
   }
 }
diff --git a/web/public/locales/ru/views/classificationModel.json b/web/public/locales/ru/views/classificationModel.json
new file mode 100644
index 000000000..b5b7e2222
--- /dev/null
+++ b/web/public/locales/ru/views/classificationModel.json
@@ -0,0 +1,193 @@
+{
+  "documentTitle": "Классификация моделей - Frigate",
+  "details": {
+    "scoreInfo": "Оценка представляет собой среднюю степень достоверности классификации по всем обнаружениям данного объекта.",
+    "none": "Нет",
+    "unknown": "Неизвестно"
+  },
+  "button": {
+    "deleteClassificationAttempts": "Удалить изображения классификации",
+    "renameCategory": "Переименовать класс",
+    "deleteCategory": "Удалить класс",
+    "deleteImages": "Удалить изображения",
+    "trainModel": "Тренировать модель",
+    "addClassification": "Добавить классификацию",
+    "deleteModels": "Удалить модели",
+    "editModel": "Редактировать модель"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Класс удалён",
+      "deletedImage": "Изображения удалены",
+      "deletedModel_one": "Успешно удалена {{count}} модель",
+      "deletedModel_few": "Успешно удалены {{count}} модели",
+      "deletedModel_many": "Успешно удалены {{count}} моделей",
+      "categorizedImage": "Изображение успешно классифицировано",
+      "trainedModel": "Модель успешно обучена.",
+      "trainingModel": "Обучение модели успешно запущено.",
+      "updatedModel": "Конфигурация модели успешно обновлена",
+      "renamedCategory": "Класс успешно переименован в {{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "Не удалось удалить: {{errorMessage}}",
+      "deleteCategoryFailed": "Не удалось удалить класс: {{errorMessage}}",
+      "deleteModelFailed": "Не удалось удалить модель: {{errorMessage}}",
+      "categorizeFailed": "Не удалось классифицировать изображение: {{errorMessage}}",
+      "trainingFailed": "Ошибка обучения модели. Проверьте логи Frigate для получения подробной информации.",
+      "updateModelFailed": "Не удалось обновить модель: {{errorMessage}}",
+      "renameCategoryFailed": "Не удалось переименовать класс: {{errorMessage}}",
+      "trainingFailedToStart": "Не удалось начать обучение модели: {{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "Удалить класс",
+    "desc": "Вы уверены, что хотите удалить класс {{name}}? Это приведёт к безвозвратному удалению всех связанных с ним изображений и потребует повторного обучения модели.",
+    "minClassesTitle": "Не удалось удалить класс",
+    "minClassesDesc": "Модель классификации должна содержать как минимум 2 класса. Добавьте ещё один класс перед удалением этого."
+  },
+  "deleteModel": {
+    "title": "Удалить модель классификации",
+    "single": "Вы уверены, что хотите удалить {{name}}? Это приведёт к безвозвратному удалению всех связанных данных, включая изображения и данные обучения. Это действие нельзя отменить.",
+    "desc_one": "Вы уверены, что хотите удалить {{count}} модель? Это приведёт к безвозвратному удалению всех связанных данных, включая изображения и данные обучения. Это действие нельзя отменить.",
+    "desc_few": "Вы уверены, что хотите удалить {{count}} модели? Это приведёт к безвозвратному удалению всех связанных данных, включая изображения и данные обучения. Это действие нельзя отменить.",
+    "desc_many": "Вы уверены, что хотите удалить {{count}} моделей? Это приведёт к безвозвратному удалению всех связанных данных, включая изображения и данные обучения. Это действие нельзя отменить."
+  },
+  "edit": {
+    "title": "Редактировать модель классификации",
+    "descriptionState": "Редактировать классы для этой модели классификации состояний. Изменения потребуют повторного обучения модели.",
+    "descriptionObject": "Редактировать тип объекта и тип классификации для этой модели классификации объектов.",
+    "stateClassesInfo": "Примечание: изменение классов состояний требует повторного обучения модели с обновлёнными классами."
+  },
+  "deleteDatasetImages": {
+    "title": "Удалить изображения набора данных",
+    "desc_one": "Вы уверены, что хотите удалить {{count}} изображение из {{dataset}}? Это действие нельзя отменить и потребует повторного обучения модели.",
+    "desc_few": "Вы уверены, что хотите удалить {{count}} изображения из {{dataset}}? Это действие нельзя отменить и потребует повторного обучения модели.",
+    "desc_many": "Вы уверены, что хотите удалить {{count}} изображений из {{dataset}}? Это действие нельзя отменить и потребует повторного обучения модели."
+  },
+  "deleteTrainImages": {
+    "title": "Удалить обучающие изображения",
+    "desc_one": "Вы уверены, что хотите удалить {{count}} изображение? Это действие нельзя отменить.",
+    "desc_few": "Вы уверены, что хотите удалить {{count}} изображения? Это действие нельзя отменить.",
+    "desc_many": "Вы уверены, что хотите удалить {{count}} изображений? Это действие нельзя отменить."
+  },
+  "renameCategory": {
+    "title": "Переименовать класс",
+    "desc": "Введите новое имя для {{name}}. Вам потребуется повторно обучить модель, чтобы изменение имени вступило в силу."
+  },
+  "description": {
+    "invalidName": "Недопустимое имя. Имена могут содержать только буквы, цифры, пробелы, апострофы, подчёркивания и дефисы."
+  },
+  "train": {
+    "title": "Недавние классификации",
+    "titleShort": "Недавнее",
+    "aria": "Выбрать недавние классификации"
+  },
+  "categories": "Классы",
+  "createCategory": {
+    "new": "Создать новый класс"
+  },
+  "categorizeImageAs": "Классифицировать изображение как:",
+  "categorizeImage": "Классифицировать изображение",
+  "menu": {
+    "objects": "Объекты",
+    "states": "Состояния"
+  },
+  "noModels": {
+    "object": {
+      "title": "Нет моделей классификации объектов",
+      "description": "Создайте пользовательскую модель для классификации обнаруженных объектов.",
+      "buttonText": "Создать модель объекта"
+    },
+    "state": {
+      "title": "Нет моделей классификации состояний",
+      "description": "Создайте пользовательскую модель для мониторинга и классификации изменений состояний в определённых областях камеры.",
+      "buttonText": "Создать модель состояния"
+    }
+  },
+  "wizard": {
+    "title": "Создать новую классификацию",
+    "steps": {
+      "nameAndDefine": "Имя и определение",
+      "stateArea": "Область состояния",
+      "chooseExamples": "Выбрать примеры"
+    },
+    "step1": {
+      "description": "Модели состояний отслеживают фиксированные области камеры на предмет изменений (например, дверь открыта/закрыта). Модели объектов добавляют классификации к обнаруженным объектам (например, известные животные, курьеры и т.д.).",
+      "name": "Имя",
+      "namePlaceholder": "Введите имя модели…",
+      "type": "Тип",
+      "typeState": "Состояние",
+      "typeObject": "Объект",
+      "objectLabel": "Метка объекта",
+      "objectLabelPlaceholder": "Выберите тип объекта…",
+      "classificationType": "Тип классификации",
+      "classificationTypeTip": "Узнать о типах классификации",
+      "classificationTypeDesc": "Подметки добавляют дополнительный текст к метке объекта (например, 'Человек: UPS'). Атрибуты — это доступные для поиска метаданные, хранящиеся отдельно в метаданных объекта.",
+      "classificationSubLabel": "Подметка",
+      "classificationAttribute": "Атрибут",
+      "classes": "Классы",
+      "states": "Состояния",
+      "classesTip": "Узнать о классах",
+      "classesStateDesc": "Определите различные состояния, в которых может находиться область вашей камеры. Например: 'открыто' и 'закрыто' для гаражных ворот.",
+      "classesObjectDesc": "Определите различные категории для классификации обнаруженных объектов. Например: 'курьер', 'житель', 'незнакомец' для классификации людей.",
+      "classPlaceholder": "Введите имя класса…",
+      "errors": {
+        "nameRequired": "Имя модели обязательно",
+        "nameLength": "Имя модели должно содержать не более 64 символов",
+        "nameOnlyNumbers": "Имя модели не может состоять только из цифр",
+        "classRequired": "Требуется хотя бы 1 класс",
+        "classesUnique": "Имена классов должны быть уникальными",
+        "stateRequiresTwoClasses": "Модели состояний требуют не менее 2 классов",
+        "objectLabelRequired": "Пожалуйста, выберите метку объекта",
+        "objectTypeRequired": "Пожалуйста, выберите тип классификации",
+        "noneNotAllowed": "Класс 'нет' не допускается"
+      }
+    },
+    "step2": {
+      "description": "Выберите камеры и определите область для мониторинга для каждой камеры. Модель будет классифицировать состояние этих областей.",
+      "cameras": "Камеры",
+      "selectCamera": "Выбрать камеру",
+      "noCameras": "Нажмите +, чтобы добавить камеры",
+      "selectCameraPrompt": "Выберите камеру из списка, чтобы определить область её мониторинга"
+    },
+    "step3": {
+      "selectImagesPrompt": "Выберите все изображения с {{className}}",
+      "selectImagesDescription": "Нажмите на изображения, чтобы выбрать их. Нажмите Продолжить, когда закончите с этим классом.",
+      "generating": {
+        "title": "Генерация примеров изображений",
+        "description": "Frigate извлекает репрезентативные изображения из ваших записей. Это может занять некоторое время…"
+      },
+      "training": {
+        "title": "Обучение модели",
+        "description": "Ваша модель обучается в фоновом режиме. Закройте это диалоговое окно, и ваша модель начнёт работать, как только обучение будет завершено."
+      },
+      "retryGenerate": "Повторить генерацию",
+      "noImages": "Примеры изображений не сгенерированы",
+      "classifying": "Классификация и обучение…",
+      "trainingStarted": "Обучение успешно запущено",
+      "errors": {
+        "noCameras": "Камеры не настроены",
+        "noObjectLabel": "Метка объекта не выбрана",
+        "generateFailed": "Не удалось сгенерировать примеры: {{error}}",
+        "generationFailed": "Генерация не удалась. Пожалуйста, попробуйте снова.",
+        "classifyFailed": "Не удалось классифицировать изображения: {{error}}"
+      },
+      "generateSuccess": "Примеры изображений успешно сгенерированы",
+      "allImagesRequired_one": "Пожалуйста, классифицируйте все изображения. Осталось {{count}} изображение.",
+      "allImagesRequired_few": "Пожалуйста, классифицируйте все изображения. Осталось {{count}} изображения.",
+      "allImagesRequired_many": "Пожалуйста, классифицируйте все изображения. Осталось {{count}} изображений.",
+      "modelCreated": "Модель успешно создана. Используйте раздел \"Последние классификации\", чтобы добавить изображения для отсутствующих состояний, а затем обучите модель.",
+      "missingStatesWarning": {
+        "title": "Примеры отсутствующих состояний",
+        "description": "Рекомендуется выбрать примеры для всех состояний для достижения наилучших результатов. Вы можете продолжить, не выбрав все состояния, но модель не будет обучена, пока для всех состояний не появятся изображения. После продолжения используйте раздел «Последние классификации», чтобы классифицировать изображения для отсутствующих состояний, а затем обучите модель."
+      }
+    }
+  },
+  "tooltip": {
+    "trainingInProgress": "Модель в данный момент обучается",
+    "noNewImages": "Нет новых изображений для обучения. Сначала классифицируйте больше изображений в наборе данных.",
+    "noChanges": "В наборе данных не было изменений с момента последнего обучения.",
+    "modelNotReady": "Модель не готова к обучению"
+  },
+  "none": "Нет"
+}
diff --git a/web/public/locales/ru/views/events.json b/web/public/locales/ru/views/events.json
index 3104cac40..16fe307ca 100644
--- a/web/public/locales/ru/views/events.json
+++ b/web/public/locales/ru/views/events.json
@@ -37,5 +37,28 @@
   "selected_other": "{{count}} выбрано",
   "detected": "обнаружен",
   "suspiciousActivity": "Подозрительная активность",
-  "threateningActivity": "Угрожающая активность"
+  "threateningActivity": "Угрожающая активность",
+  "detail": {
+    "noDataFound": "Нет данных для просмотра",
+    "aria": "Переключить подробный режим просмотра",
+    "trackedObject_one": "{{count}} объект",
+    "trackedObject_other": "{{count}} объекта",
+    "noObjectDetailData": "Данные о деталях объекта недоступны.",
+    "label": "Деталь",
+    "settings": "Настройки подробного просмотра",
+    "alwaysExpandActive": {
+      "title": "Всегда раскрывать активный",
+      "desc": "Всегда раскрывать сведения об объекте активного элемента обзора, если они доступны."
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Отслеживаемая точка",
+    "clickToSeek": "Перейти к этому моменту"
+  },
+  "zoomIn": "Увеличить",
+  "zoomOut": "Отдалить",
+  "select_all": "Всё",
+  "normalActivity": "Нормальный",
+  "needsReview": "Требуется ревью",
+  "securityConcern": "Вопрос безопасности"
 }
diff --git a/web/public/locales/ru/views/explore.json b/web/public/locales/ru/views/explore.json
index 833dc3095..3247544f5 100644
--- a/web/public/locales/ru/views/explore.json
+++ b/web/public/locales/ru/views/explore.json
@@ -49,13 +49,15 @@
           "updatedSublabel": "Успешно обновлена дополнительная метка.",
           "updatedLPR": "Номерной знак успешно обновлён.",
           "regenerate": "Новое описание запрошено у {{provider}}. В зависимости от скорости работы вашего провайдера, генерация нового описания может занять некоторое время.",
-          "audioTranscription": "Запрос на транскрипцию звука успешно выполнен."
+          "audioTranscription": "Запрос на расшифровку аудио успешно отправлен. В зависимости от скорости вашего сервера Frigate, расшифровка может занять некоторое время.",
+          "updatedAttributes": "Атрибуты успешно обновлены."
         },
         "error": {
           "updatedSublabelFailed": "Не удалось обновить дополнительную метку: {{errorMessage}}",
           "updatedLPRFailed": "Не удалось обновить номерной знак: {{errorMessage}}",
           "regenerate": "Не удалось запросить новое описание у {{provider}}: {{errorMessage}}",
-          "audioTranscription": "Не удалось запросить транскрипцию аудио: {{errorMessage}}"
+          "audioTranscription": "Не удалось запросить транскрипцию аудио: {{errorMessage}}",
+          "updatedAttributesFailed": "Не удалось обновить атрибуты: {{errorMessage}}"
         }
       }
     },
@@ -102,15 +104,22 @@
       "label": "Оценка снимка"
     },
     "score": {
-      "label": "Балл"
-    }
+      "label": "Оценка"
+    },
+    "editAttributes": {
+      "title": "Редактировать атрибуты",
+      "desc": "Выберите атрибуты классификации для этого {{label}}"
+    },
+    "attributes": "Атрибуты классификации"
   },
   "trackedObjectDetails": "Детали объекта",
   "type": {
     "details": "детали",
     "snapshot": "снимок",
     "video": "видео",
-    "object_lifecycle": "жизненный цикл объекта"
+    "object_lifecycle": "жизненный цикл объекта",
+    "thumbnail": "миниатюра",
+    "tracking_details": "подробности отслеживания"
   },
   "objectLifecycle": {
     "title": "Жизненный цикл объекта",
@@ -196,16 +205,30 @@
     "audioTranscription": {
       "label": "Транскрибировать",
       "aria": "Запросить аудиотранскрипцию"
+    },
+    "viewTrackingDetails": {
+      "label": "Просмотреть детали отслеживания",
+      "aria": "Показать детали отслеживания"
+    },
+    "showObjectDetails": {
+      "label": "Показать путь объекта"
+    },
+    "hideObjectDetails": {
+      "label": "Скрыть путь объекта"
+    },
+    "downloadCleanSnapshot": {
+      "label": "Скачать чистый снимок",
+      "aria": "Скачать чистый снимок"
     }
   },
   "dialog": {
     "confirmDelete": {
       "title": "Подтвердить удаление",
-      "desc": "Удаление этого отслеживаемого объекта приведёт к удалению его снимка, всех сохранённых эмбеддингов и записей жизненного цикла. Сами записи в разделе История <em>НЕ</em> будут удалены.<br /><br />Вы уверены, что хотите продолжить?"
+      "desc": "Удаление этого отслеживаемого объекта приведёт к удалению снимка, всех сохранённых эмбеддингов и всех связанных записей деталей отслеживания. Записанное видео этого отслеживаемого объекта в представлении Истории <em>НЕ</em> будет удалено.<br /><br />Вы уверены, что хотите продолжить?"
     }
   },
-  "noTrackedObjects": "Не найдено отслеживаемых объектов",
-  "fetchingTrackedObjectsFailed": "При получении списка отслеживаемых объектов произошла ошибка: {{errorMessage}}",
+  "noTrackedObjects": "Отслеживаемые объекты не найдены",
+  "fetchingTrackedObjectsFailed": "Ошибка при получении отслеживаемых объектов: {{errorMessage}}",
   "trackedObjectsCount_one": "{{count}} отслеживаемый объект ",
   "trackedObjectsCount_few": "{{count}} отслеживаемых объекта ",
   "trackedObjectsCount_many": "{{count}} отслеживаемых объектов ",
@@ -216,7 +239,9 @@
         "error": "Не удалось удалить отслеживаемый объект: {{errorMessage}}"
       }
     },
-    "tooltip": "Соответствие с {{type}} на {{confidence}}%"
+    "tooltip": "Соответствие с {{type}} на {{confidence}}%",
+    "previousTrackedObject": "Предыдущий отслеживаемый объект",
+    "nextTrackedObject": "Следующий отслеживаемый объект"
   },
   "exploreMore": "Просмотреть больше объектов {{label}}",
   "aiAnalysis": {
@@ -224,5 +249,54 @@
   },
   "concerns": {
     "label": "Требуют внимания"
+  },
+  "trackingDetails": {
+    "count": "{{first}} из {{second}}",
+    "title": "Детали отслеживания",
+    "noImageFound": "Для этой метки времени изображение не найдено.",
+    "createObjectMask": "Создать маску объекта",
+    "adjustAnnotationSettings": "Изменить настройки аннотаций",
+    "scrollViewTips": "Нажмите, чтобы просмотреть ключевые моменты жизненного цикла этого объекта.",
+    "autoTrackingTips": "Позиции ограничивающих рамок будут неточными для камер с автотрекингом.",
+    "trackedPoint": "Отслеживаемая точка",
+    "lifecycleItemDesc": {
+      "visible": "Обнаружен(а) {{label}}",
+      "entered_zone": "{{label}} зафиксирован(а) в {{zones}}",
+      "active": "{{label}} активировался(ась)",
+      "stationary": "{{label}} перестал(а) двигаться",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} обнаружен для {{label}}",
+        "other": "{{label}} распознан(а) как {{attribute}}"
+      },
+      "gone": "{{label}} покинул(а) зону",
+      "heard": "Обнаружен звук {{label}}",
+      "external": "Обнаружен(а) {{label}}",
+      "header": {
+        "zones": "Зоны",
+        "ratio": "Соотношение",
+        "area": "Область",
+        "score": "Оценка"
+      }
+    },
+    "annotationSettings": {
+      "title": "Настройки аннотаций",
+      "showAllZones": {
+        "title": "Показать все зоны",
+        "desc": "Всегда показывать зоны на кадрах, где объекты вошли в зону."
+      },
+      "offset": {
+        "label": "Сдвиг аннотаций",
+        "desc": "Эти данные поступают из потока детекции вашей камеры, но накладываются на изображения из потока записи. Потоки вряд ли идеально синхронизированы, поэтому ограничивающая рамка и видео могут не совпадать. Вы можете использовать эту настройку для смещения аннотаций вперед или назад во времени, чтобы лучше выровнять их с записанным видео.",
+        "millisecondsToOffset": "Смещение аннотаций детекции в миллисекундах. <em>По умолчанию: 0</em>",
+        "tips": "Уменьшите значение, если воспроизведение видео опережает рамки и точки пути, и увеличьте значение, если воспроизведение видео отстаёт от них. Это значение может быть отрицательным.",
+        "toast": {
+          "success": "Смещение аннотаций для {{camera}} сохранено в конфигурационном файле."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Предыдущий слайд",
+      "next": "Следующий слайд"
+    }
   }
 }
diff --git a/web/public/locales/ru/views/exports.json b/web/public/locales/ru/views/exports.json
index f48fb3e71..c14a578ca 100644
--- a/web/public/locales/ru/views/exports.json
+++ b/web/public/locales/ru/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "Не удалось переименовать экспорт: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Поделиться экспортом",
+    "downloadVideo": "Скачать видео",
+    "editName": "Изменить название",
+    "deleteExport": "Удалить экспорт"
   }
 }
diff --git a/web/public/locales/ru/views/faceLibrary.json b/web/public/locales/ru/views/faceLibrary.json
index 802f0cebe..90aa901d1 100644
--- a/web/public/locales/ru/views/faceLibrary.json
+++ b/web/public/locales/ru/views/faceLibrary.json
@@ -12,12 +12,12 @@
   "documentTitle": "Библиотека лиц - Frigate",
   "description": {
     "placeholder": "Введите название коллекции",
-    "addFace": "Пошаговое добавление новой коллекции в Библиотеку лиц.",
-    "invalidName": "Недопустимое имя. Имена могут содержать только буквы, цифры, пробелы, апострофы, подчеркивания и дефисы."
+    "addFace": "Добавьте новую коллекцию в библиотеку лиц, загрузив свое первое изображение.",
+    "invalidName": "Недопустимое имя. Имена могут содержать только буквы, цифры, пробелы, апострофы, подчёркивания и дефисы."
   },
   "createFaceLibrary": {
     "desc": "Создание новой коллекции",
-    "nextSteps": "Для создания надежной базы: <li>Используйте вкладку Обучение, чтобы выбрать изображения и обучить систему для каждого обнаруженного человека.</li> <li>Используйте фронтальные изображения для лучшего результата; избегайте изображений с лицами, снятыми под углом.</li> </ul>",
+    "nextSteps": "Для создания надежной базы: <li>Используйте вкладку \"Недавние распознавания\", чтобы выбрать изображения каждого обнаруженного человека и обучить систему</li> <li>Используйте фронтальные изображения для лучшего результата; избегайте изображений с лицами, снятыми под углом.</li> </ul>",
     "title": "Создать коллекцию",
     "new": "Создать новое лицо"
   },
@@ -28,9 +28,10 @@
   },
   "selectItem": "Выбор {{item}}",
   "train": {
-    "aria": "Выбор обучения",
-    "title": "Обучение",
-    "empty": "Нет недавних попыток распознавания лиц"
+    "aria": "Выберите последние распознавания",
+    "title": "Последние распознавания",
+    "empty": "Нет недавних попыток распознавания лиц",
+    "titleShort": "Недавнее"
   },
   "toast": {
     "success": {
@@ -43,7 +44,7 @@
       "uploadedImage": "Изображение успешно загружено.",
       "trainedFace": "Лицо успешно запомнено.",
       "addFaceLibrary": "{{name}} успешно добавлен(а) в Библиотеку лиц!",
-      "updatedFaceScore": "Оценка лица успешно обновлена.",
+      "updatedFaceScore": "Оценка лица успешно обновлена для {{name}} {{score}}.",
       "renamedFace": "Лицо успешно переименовано в {{name}}"
     },
     "error": {
@@ -62,7 +63,7 @@
   },
   "imageEntry": {
     "dropActive": "Перетащите изображение сюда…",
-    "dropInstructions": "Перетащите изображение сюда или нажмите для выбора",
+    "dropInstructions": "Перетащите или вставьте изображение сюда или щелкните, чтобы выбрать",
     "maxSize": "Макс. размер: {{size}}Мб",
     "validation": {
       "selectImage": "Пожалуйста, выберите файл изображения."
diff --git a/web/public/locales/ru/views/live.json b/web/public/locales/ru/views/live.json
index cd32e82eb..9cda2d3c9 100644
--- a/web/public/locales/ru/views/live.json
+++ b/web/public/locales/ru/views/live.json
@@ -86,8 +86,8 @@
     "disable": "Скрыть статистику потока"
   },
   "manualRecording": {
-    "title": "Запись по требованию",
-    "tips": "Создать ручное событие на основе настроек хранения записей этой камеры.",
+    "title": "По требованию",
+    "tips": "Скачать моментальный снимок или создать ручное событие, исходя из настроек хранения записей для этой камеры.",
     "playInBackground": {
       "label": "Воспроизведение в фоне",
       "desc": "Включите эту опцию, чтобы продолжать трансляцию при скрытом плеере."
@@ -132,6 +132,9 @@
     "playInBackground": {
       "label": "Воспроизвести в фоне",
       "tips": "Включите эту опцию, чтобы продолжать трансляцию при скрытом плеере."
+    },
+    "debug": {
+      "picker": "Выбор потока недоступен в режиме отладки. В отладочном представлении всегда используется поток, назначенный на роль обнаружения."
     }
   },
   "cameraSettings": {
@@ -167,5 +170,20 @@
   "transcription": {
     "enable": "Включить транскрипцию звука в реальном времени",
     "disable": "Выключить транскрипцию звука"
+  },
+  "snapshot": {
+    "noVideoSource": "Нет видеоисточника для снимка.",
+    "captureFailed": "Не удалось сделать снимок.",
+    "takeSnapshot": "Скачать моментальный снимок",
+    "downloadStarted": "Загрузка снимка началась."
+  },
+  "noCameras": {
+    "title": "Камеры не настроены",
+    "description": "Начните с подключения камеры к Frigate.",
+    "buttonText": "Добавить камеру",
+    "restricted": {
+      "title": "Нет доступных камер",
+      "description": "У вас нет разрешения на просмотр камер в этой группе."
+    }
   }
 }
diff --git a/web/public/locales/ru/views/search.json b/web/public/locales/ru/views/search.json
index 0c7f8477f..cf90fb152 100644
--- a/web/public/locales/ru/views/search.json
+++ b/web/public/locales/ru/views/search.json
@@ -26,7 +26,8 @@
       "max_speed": "Макс. скорость",
       "has_clip": "Есть клип",
       "has_snapshot": "Есть снимок",
-      "labels": "Метки"
+      "labels": "Метки",
+      "attributes": "Атрибуты"
     },
     "searchType": {
       "thumbnail": "Миниатюра",
diff --git a/web/public/locales/ru/views/settings.json b/web/public/locales/ru/views/settings.json
index ef0021e1c..504c51178 100644
--- a/web/public/locales/ru/views/settings.json
+++ b/web/public/locales/ru/views/settings.json
@@ -4,13 +4,15 @@
     "camera": "Настройки камеры - Frigate",
     "masksAndZones": "Маски и Зоны - Frigate",
     "motionTuner": "Детекции движения - Frigate",
-    "general": "Общие настройки - Frigate",
+    "general": "Настройки интерфейса - Frigate",
     "frigatePlus": "Настройки Frigate+ - Frigate",
     "authentication": "Настройки аутентификации - Frigate",
     "classification": "Настройки распознавания - Frigate",
     "object": "Отладка - Frigate",
     "notifications": "Настройки уведомлений - Frigate",
-    "enrichments": "Настройки обогащения - Frigate"
+    "enrichments": "Настройки обогащения - Frigate",
+    "cameraManagement": "Управление камерами - Frigate",
+    "cameraReview": "Настройки просмотра камеры - Frigate"
   },
   "menu": {
     "cameras": "Настройки камеры",
@@ -23,7 +25,10 @@
     "ui": "Интерфейс",
     "classification": "Распознавание",
     "enrichments": "Обогащения",
-    "triggers": "Триггеры"
+    "triggers": "Триггеры",
+    "cameraManagement": "Управление",
+    "cameraReview": "Обзор",
+    "roles": "Роли"
   },
   "dialog": {
     "unsavedChanges": {
@@ -36,7 +41,7 @@
     "noCamera": "Нет камеры"
   },
   "general": {
-    "title": "Общие настройки",
+    "title": "Настройки интерфейса",
     "liveDashboard": {
       "title": "Панель мониторинга",
       "automaticLiveView": {
@@ -46,6 +51,14 @@
       "playAlertVideos": {
         "label": "Воспроизводить видео с тревогами",
         "desc": "По умолчанию последние тревоги на панели мониторинга воспроизводятся как короткие зацикленные видео. Отключите эту опцию, чтобы показывать только статичное изображение последних оповещений на этом устройстве/браузере."
+      },
+      "displayCameraNames": {
+        "label": "Всегда показывать названия камер",
+        "desc": "Всегда показывать названия камер в виде метки на панели мониторинга с несколькими камерами."
+      },
+      "liveFallbackTimeout": {
+        "label": "Таймаут переключения на низкое качество",
+        "desc": "Когда высококачественный поток камеры недоступен, переключиться на режим низкой пропускной способности через указанное количество секунд. По умолчанию: 3."
       }
     },
     "calendar": {
@@ -154,7 +167,12 @@
         "setPassword": "Установить пароль",
         "desc": "Создайте надежный пароль для защиты аккаунта.",
         "cannotBeEmpty": "Пароль не может быть пустым",
-        "doNotMatch": "Пароли не совпадают"
+        "doNotMatch": "Пароли не совпадают",
+        "currentPasswordRequired": "Текущий пароль обязателен",
+        "incorrectCurrentPassword": "Текущий пароль указан неверно",
+        "passwordVerificationFailed": "Не удалось проверить пароль",
+        "multiDeviceWarning": "Все остальные устройства, на которых вы вошли в систему, потребуют повторного входа в течение {{refresh_time}}.",
+        "multiDeviceAdmin": "Вы также можете принудительно заставить всех пользователей повторно пройти аутентификацию немедленно, обновив свой JWT-секрет."
       },
       "deleteUser": {
         "warn": "Вы уверены, что хотите удалить пользователя <strong>{{username}}</strong>?",
@@ -169,7 +187,8 @@
           "viewer": "Наблюдатель",
           "viewerDesc": "Доступны только панель мониторинга, обзор событий, поиск и экспорт данных.",
           "admin": "Администратор",
-          "adminDesc": "Полный доступ ко всем функциям."
+          "adminDesc": "Полный доступ ко всем функциям.",
+          "customDesc": "Роль с настраиваемыми правами доступа к определённым камерам."
         },
         "select": "Выбрать роль"
       },
@@ -194,7 +213,16 @@
             "veryStrong": "Очень сложный"
           },
           "match": "Пароли совпадают",
-          "notMatch": "Пароли не совпадают"
+          "notMatch": "Пароли не совпадают",
+          "show": "Показать пароль",
+          "hide": "Скрыть пароль",
+          "requirements": {
+            "title": "Требования к паролю:",
+            "length": "Не менее 8 символов",
+            "uppercase": "Как минимум одна заглавная буква",
+            "digit": "Как минимум одна цифра",
+            "special": "Хотя бы один специальный символ (!@#$%^&*(),.?\":{}|<>)"
+          }
         },
         "newPassword": {
           "title": "Новый пароль",
@@ -204,7 +232,11 @@
           "placeholder": "Введите новый пароль"
         },
         "usernameIsRequired": "Необходимо ввести имя пользователя",
-        "passwordIsRequired": "Требуется пароль"
+        "passwordIsRequired": "Требуется пароль",
+        "currentPassword": {
+          "title": "Текущий пароль",
+          "placeholder": "Введите ваш текущий пароль"
+        }
       },
       "createUser": {
         "title": "Создать нового пользователя",
@@ -231,7 +263,7 @@
     "table": {
       "username": "Имя пользователя",
       "actions": "Действия",
-      "password": "Пароль",
+      "password": "Сбросить пароль",
       "noUsers": "Пользователей не найдено.",
       "changeRole": "Изменить роль пользователя",
       "role": "Роль",
@@ -241,7 +273,7 @@
       "title": "Управление пользователями",
       "desc": "Управление учетными записями пользователей Frigate."
     },
-    "updatePassword": "Обновить пароль",
+    "updatePassword": "Сбросить пароль",
     "addUser": "Добавить пользователя"
   },
   "notification": {
@@ -401,7 +433,7 @@
       "name": {
         "title": "Название",
         "inputPlaceHolder": "Введите название…",
-        "tips": "Название должно содержать не менее 2 символов и не совпадать с названием камеры или другой зоны."
+        "tips": "Имя должно содержать не менее 2 символов, включать хотя бы одну букву и не должно совпадать с названием камеры или другой зоны на этой камере."
       },
       "inertia": {
         "title": "Инерция",
@@ -423,7 +455,7 @@
         "desc": "Задаёт минимальную скорость объектов для учёта в этой зоне."
       },
       "toast": {
-        "success": "Зона ({{zoneName}}) сохранена. Перезапустите Frigate для применения изменений."
+        "success": "Зона ({{zoneName}}) сохранена."
       }
     },
     "motionMasks": {
@@ -450,8 +482,8 @@
       "documentTitle": "Редактирование маски движения - Frigate",
       "toast": {
         "success": {
-          "title": "{{polygonName}} сохранена. Перезапустите Frigate для применения изменений.",
-          "noName": "Маска движения сохранена. Перезапустите Frigate для применения изменений."
+          "title": "{{polygonName}} сохранена.",
+          "noName": "Маска движения сохранена."
         }
       }
     },
@@ -465,7 +497,8 @@
           "mustNotBeSameWithCamera": "Имя зоны не должно совпадать с именем камеры.",
           "hasIllegalCharacter": "Имя зоны содержит недопустимые символы.",
           "alreadyExists": "Зона с таким именем уже существует для этой камеры.",
-          "mustNotContainPeriod": "Имя зоны не должно содержать точки."
+          "mustNotContainPeriod": "Имя зоны не должно содержать точки.",
+          "mustHaveAtLeastOneLetter": "Название зоны должно содержать хотя бы одну букву."
         }
       },
       "distance": {
@@ -537,8 +570,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} сохранена. Перезапустите Frigate для применения изменений.",
-          "noName": "Маска объектов сохранена. Перезапустите Frigate для применения изменений."
+          "title": "{{polygonName}} сохранена.",
+          "noName": "Маска объектов сохранена."
         }
       }
     },
@@ -739,7 +772,7 @@
   "triggers": {
     "documentTitle": "Триггеры",
     "management": {
-      "title": "Управление триггерами",
+      "title": "Триггеры",
       "desc": "Управление триггерами для камеры {{camera}}. Используйте тип миниатюры для срабатывания по миниатюрам, похожим на выбранный отслеживаемый объект, и тип описания для срабатывания по описаниям, похожим на указанный вами текст."
     },
     "addTrigger": "Добавить Триггер",
@@ -760,7 +793,9 @@
     },
     "actions": {
       "alert": "Отметить как предупреждение",
-      "notification": "Отправить оповещение"
+      "notification": "Отправить оповещение",
+      "sub_label": "Добавить подметку",
+      "attribute": "Добавить атрибут"
     },
     "dialog": {
       "createTrigger": {
@@ -778,25 +813,28 @@
       "form": {
         "name": {
           "title": "Имя",
-          "placeholder": "Введите имя триггера",
+          "placeholder": "Назовите этот триггер",
           "error": {
-            "minLength": "Имя должно быть длиной не менее 2 символов.",
-            "invalidCharacters": "Имя может содержать только буквы, цифры, символы подчеркивания и дефисы.",
+            "minLength": "Поле должно содержать не менее 2 символов.",
+            "invalidCharacters": "Поле может содержать только буквы, цифры, символы подчеркивания и дефисы.",
             "alreadyExists": "Триггер с таким именем уже существует для этой камеры."
-          }
+          },
+          "description": "Введите уникальное имя или описание для идентификации этого триггера"
         },
         "enabled": {
           "description": "Включить или отключить этот триггер"
         },
         "type": {
           "title": "Тип",
-          "placeholder": "Выберите тип триггера"
+          "placeholder": "Выберите тип триггера",
+          "description": "Срабатывать при обнаружении похожего описания отслеживаемого объекта",
+          "thumbnail": "Срабатывать при обнаружении похожей миниатюры отслеживаемого объекта"
         },
         "content": {
           "title": "Содержимое",
-          "imagePlaceholder": "Выберите изображение",
+          "imagePlaceholder": "Выберите миниатюру",
           "textPlaceholder": "Введите текстовое содержимое",
-          "imageDesc": "Выберите изображение, чтобы активировать это действие при обнаружении похожего изображения.",
+          "imageDesc": "Отображаются только 100 последних миниатюр. Если вы не можете найти нужную миниатюру, просмотрите предыдущие объекты в разделе \"Обзор\" и настройте триггер оттуда через меню.",
           "textDesc": "Введите текст, чтобы активировать это действие при обнаружении похожего описания отслеживаемого объекта.",
           "error": {
             "required": "Требуется содержимое."
@@ -807,14 +845,20 @@
           "error": {
             "min": "Порог должен быть не менее 0",
             "max": "Порог должен быть не более 1"
-          }
+          },
+          "desc": "Установите порог схожести для этого триггера. Более высокое значение требует более точного совпадения для срабатывания триггера."
         },
         "actions": {
           "title": "Действия",
-          "desc": "По умолчанию Frigate отправляет MQTT-сообщение для всех триггеров. Выберите дополнительное действие, которое будет выполняться при срабатывании этого триггера.",
+          "desc": "По умолчанию Frigate отправляет MQTT-сообщение для всех триггеров. Подметки добавляют имя триггера к метке объекта. Атрибуты — это доступные для поиска метаданные, хранящиеся отдельно в метаданных отслеживаемого объекта.",
           "error": {
             "min": "Необходимо выбрать хотя бы одно действие."
           }
+        },
+        "friendly_name": {
+          "description": "Необязательное название или описание к этому триггеру",
+          "placeholder": "Название или описание триггера",
+          "title": "Понятное название"
         }
       }
     },
@@ -829,6 +873,390 @@
         "updateTriggerFailed": "Не удалось обновить триггер: {{errorMessage}}",
         "deleteTriggerFailed": "Не удалось удалить триггер: {{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "title": "Семантический поиск выключен",
+      "desc": "Для использования триггеров необходимо включить семантический поиск."
+    },
+    "wizard": {
+      "title": "Создать триггер",
+      "step1": {
+        "description": "Настройте основные параметры вашего триггера."
+      },
+      "step2": {
+        "description": "Настройте содержимое, которое будет активировать это действие."
+      },
+      "step3": {
+        "description": "Настройте порог и действия для этого триггера."
+      },
+      "steps": {
+        "nameAndType": "Имя и тип",
+        "configureData": "Настроить данные",
+        "thresholdAndActions": "Порог и действия"
+      }
+    }
+  },
+  "cameraWizard": {
+    "title": "Добавить камеру",
+    "description": "Следуйте инструкциям ниже, чтобы добавить новую камеру в вашу установку Frigate.",
+    "steps": {
+      "nameAndConnection": "Имя и подключение",
+      "streamConfiguration": "Конфигурация потока",
+      "validationAndTesting": "Проверка и тестирование",
+      "probeOrSnapshot": "Проверка или снимок"
+    },
+    "save": {
+      "success": "Новая камера {{cameraName}} успешно сохранена.",
+      "failure": "Ошибка при сохранении {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Разрешение",
+      "video": "Видео",
+      "audio": "Аудио",
+      "fps": "Кадры в секунду (FPS)"
+    },
+    "commonErrors": {
+      "noUrl": "Пожалуйста, укажите корректный URL потока",
+      "testFailed": "Тест потока не удался: {{error}}"
+    },
+    "step1": {
+      "description": "Введите параметры вашей камеры и выберите: автоматическое определение или ручной выбор производителя.",
+      "cameraName": "Имя камеры",
+      "cameraNamePlaceholder": "Например, front_door или Обзор заднего двора",
+      "host": "Хост/IP-адрес",
+      "port": "Порт",
+      "username": "Имя пользователя",
+      "usernamePlaceholder": "Необязательно",
+      "password": "Пароль",
+      "passwordPlaceholder": "Необязательно",
+      "selectTransport": "Выберите транспортный протокол",
+      "cameraBrand": "Бренд камеры",
+      "selectBrand": "Выберите бренд камеры для шаблона URL",
+      "customUrl": "Пользовательский URL потока",
+      "brandInformation": "Информация о бренде",
+      "brandUrlFormat": "Для камер с форматом RTSP-URL вида: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://имя_пользователя:пароль@хост:порт/путь",
+      "testConnection": "Проверить соединение",
+      "testSuccess": "Соединение успешно установлено!",
+      "testFailed": "Проверка соединения не удалась. Проверьте введённые данные и попробуйте снова.",
+      "streamDetails": "Детали потока",
+      "warnings": {
+        "noSnapshot": "Не удалось получить снимок из настроенного потока."
+      },
+      "errors": {
+        "brandOrCustomUrlRequired": "Выберите бренд камеры с указанием хоста/IP или выберите \"Другое\" и укажите пользовательский URL",
+        "nameRequired": "Необходимо указать имя камеры",
+        "nameLength": "Имя камеры должно содержать не более 64 символов",
+        "invalidCharacters": "Имя камеры содержит недопустимые символы",
+        "nameExists": "Имя камеры уже используется",
+        "brands": {
+          "reolink-rtsp": "RTSP от Reolink не рекомендуется. Включите HTTP в настройках камеры и перезапустите мастер настройки камеры."
+        },
+        "customUrlRtspRequired": "Пользовательские URL должны начинаться с \"rtsp://\". Для потоков камер, не использующих RTSP, требуется ручная настройка."
+      },
+      "docs": {
+        "reolink": "https://docs.frigate.video/configuration/camera_specific.html#reolink-cameras"
+      },
+      "testing": {
+        "probingMetadata": "Проверка метаданных камеры…",
+        "fetchingSnapshot": "Получение снимка с камеры…"
+      },
+      "connectionSettings": "Настройки подключения",
+      "detectionMethod": "Метод обнаружения потока",
+      "onvifPort": "Порт ONVIF",
+      "probeMode": "Проверить камеру",
+      "manualMode": "Ручной выбор",
+      "detectionMethodDescription": "Проверьте камеру с помощью ONVIF (если поддерживается) для поиска URL потоков камеры или вручную выберите бренд камеры для использования предопределённых URL. Чтобы ввести пользовательский RTSP URL, выберите ручной метод и выберите \"Другое\".",
+      "onvifPortDescription": "Для камер, поддерживающих ONVIF, это обычно 80 или 8080.",
+      "useDigestAuth": "Использовать digest-аутентификацию",
+      "useDigestAuthDescription": "Использовать HTTP digest-аутентификацию для ONVIF. Некоторые камеры могут требовать отдельное имя пользователя/пароль ONVIF вместо стандартного пользователя администратора."
+    },
+    "step2": {
+      "description": "Проверьте камеру на наличие доступных потоков или настройте параметры вручную в зависимости от выбранного метода обнаружения.",
+      "streamsTitle": "Потоки камеры",
+      "addStream": "Добавить поток",
+      "addAnotherStream": "Добавить ещё один поток",
+      "streamTitle": "Поток {{number}}",
+      "streamUrl": "URL потока",
+      "streamUrlPlaceholder": "rtsp://имя_пользователя:пароль@хост:порт/путь",
+      "url": "URL",
+      "resolution": "Разрешение",
+      "selectResolution": "Выберите разрешение",
+      "quality": "Качество",
+      "selectQuality": "Выберите качество",
+      "roles": "Роли",
+      "roleLabels": {
+        "detect": "Обнаружение объектов",
+        "record": "Запись",
+        "audio": "Аудио"
+      },
+      "testStream": "Проверить соединение",
+      "testSuccess": "Проверка соединения успешна!",
+      "testFailed": "Проверка соединения не удалась. Проверьте введённые данные и попробуйте снова.",
+      "testFailedTitle": "Проверка не удалась",
+      "streamDetails": "Детали потока",
+      "probing": "Проверка камеры…",
+      "retry": "Повторить",
+      "testing": {
+        "probingMetadata": "Проверка метаданных камеры…",
+        "fetchingSnapshot": "Получение снимка с камеры…"
+      },
+      "probeFailed": "Не удалось проверить камеру: {{error}}",
+      "probingDevice": "Проверка устройства…",
+      "probeSuccessful": "Проверка успешна",
+      "probeError": "Ошибка проверки",
+      "probeNoSuccess": "Проверка не удалась",
+      "deviceInfo": "Информация об устройстве",
+      "manufacturer": "Производитель",
+      "model": "Модель",
+      "firmware": "Прошивка",
+      "profiles": "Профили",
+      "ptzSupport": "Поддержка PTZ",
+      "autotrackingSupport": "Поддержка автотрекинга",
+      "presets": "Предустановки",
+      "rtspCandidates": "Кандидаты RTSP",
+      "rtspCandidatesDescription": "Следующие RTSP URL были найдены при проверке камеры. Проверьте соединение, чтобы просмотреть метаданные потока.",
+      "noRtspCandidates": "RTSP URL не найдены для камеры. Ваши учётные данные могут быть неверными, или камера может не поддерживать ONVIF или метод, используемый для получения RTSP URL. Вернитесь назад и введите RTSP URL вручную.",
+      "candidateStreamTitle": "Кандидат {{number}}",
+      "useCandidate": "Использовать",
+      "uriCopy": "Копировать",
+      "uriCopied": "URI скопирован в буфер обмена",
+      "testConnection": "Проверить соединение",
+      "toggleUriView": "Нажмите, чтобы переключить полный вид URI",
+      "connected": "Подключено",
+      "notConnected": "Не подключено",
+      "errors": {
+        "hostRequired": "Требуется хост/IP-адрес"
+      }
+    },
+    "step3": {
+      "description": "Настройте роли потоков и добавьте дополнительные потоки для вашей камеры.",
+      "streamsTitle": "Потоки камеры",
+      "addStream": "Добавить поток",
+      "addAnotherStream": "Добавить ещё поток",
+      "streamTitle": "Поток {{number}}",
+      "streamUrl": "URL потока",
+      "streamUrlPlaceholder": "rtsp://имя_пользователя:пароль@хост:порт/путь",
+      "selectStream": "Выбрать поток",
+      "searchCandidates": "Поиск кандидатов…",
+      "noStreamFound": "Поток не найден",
+      "url": "URL",
+      "resolution": "Разрешение",
+      "selectResolution": "Выберите разрешение",
+      "quality": "Качество",
+      "selectQuality": "Выберите качество",
+      "roles": "Роли",
+      "roleLabels": {
+        "detect": "Обнаружение объектов",
+        "record": "Запись",
+        "audio": "Аудио"
+      },
+      "testStream": "Проверить соединение",
+      "testSuccess": "Тест потока выполнен успешно!",
+      "testFailed": "Тест потока не пройден",
+      "testFailedTitle": "Тест не пройден",
+      "connected": "Подключено",
+      "notConnected": "Не подключено",
+      "featuresTitle": "Функции",
+      "go2rtc": "Уменьшить количество подключений к камере",
+      "detectRoleWarning": "Хотя бы один поток должен иметь роль \"detect\" для продолжения.",
+      "rolesPopover": {
+        "title": "Роли потоков",
+        "detect": "Основной поток для обнаружения объектов.",
+        "record": "Сохраняет сегменты видеопотока на основе настроек конфигурации.",
+        "audio": "Поток для обнаружения на основе аудио."
+      },
+      "featuresPopover": {
+        "title": "Функции потоков",
+        "description": "Использовать рестриминг go2rtc для уменьшения количества подключений к камере."
+      }
+    },
+    "step4": {
+      "description": "Финальная проверка и анализ перед сохранением новой камеры. Подключите каждый поток перед сохранением.",
+      "validationTitle": "Проверка потоков",
+      "connectAllStreams": "Подключить все потоки",
+      "reconnectionSuccess": "Переподключение успешно.",
+      "reconnectionPartial": "Некоторые потоки не удалось переподключить.",
+      "streamUnavailable": "Предпросмотр потока недоступен",
+      "reload": "Перезагрузить",
+      "connecting": "Подключение…",
+      "streamTitle": "Поток {{number}}",
+      "valid": "Действителен",
+      "failed": "Не удалось",
+      "notTested": "Не проверен",
+      "connectStream": "Подключить",
+      "connectingStream": "Подключение",
+      "disconnectStream": "Отключить",
+      "estimatedBandwidth": "Расчётная пропускная способность",
+      "roles": "Роли",
+      "ffmpegModule": "Использовать режим совместимости потоков",
+      "ffmpegModuleDescription": "Если поток не загружается после нескольких попыток, попробуйте включить это. При включении Frigate будет использовать модуль ffmpeg с go2rtc. Это может обеспечить лучшую совместимость с некоторыми потоками камер.",
+      "none": "Нет",
+      "error": "Ошибка",
+      "streamValidated": "Поток {{number}} успешно проверен",
+      "streamValidationFailed": "Проверка потока {{number}} не удалась",
+      "saveAndApply": "Сохранить новую камеру",
+      "saveError": "Неверная конфигурация. Пожалуйста, проверьте настройки.",
+      "issues": {
+        "title": "Проверка потоков",
+        "videoCodecGood": "Видеокодек: {{codec}}.",
+        "audioCodecGood": "Аудиокодек: {{codec}}.",
+        "resolutionHigh": "Разрешение {{resolution}} может привести к увеличению использования ресурсов.",
+        "resolutionLow": "Разрешение {{resolution}} может быть слишком низким для надёжного обнаружения мелких объектов.",
+        "noAudioWarning": "Аудио не обнаружено для этого потока, записи не будут содержать аудио.",
+        "audioCodecRecordError": "Для поддержки аудио в записях требуется аудиокодек AAC.",
+        "audioCodecRequired": "Для поддержки обнаружения аудио требуется аудиопоток.",
+        "restreamingWarning": "Уменьшение количества подключений к камере для потока записи может немного увеличить использование CPU.",
+        "brands": {
+          "reolink-rtsp": "RTSP от Reolink не рекомендуется. Включите HTTP в настройках прошивки камеры и перезапустите мастер.",
+          "reolink-http": "HTTP потоки Reolink должны использовать FFmpeg для лучшей совместимости. Включите 'Использовать режим совместимости потоков' для этого потока."
+        },
+        "dahua": {
+          "substreamWarning": "Подпоток 1 заблокирован на низком разрешении. Многие камеры Dahua / Amcrest / EmpireTech поддерживают дополнительные подпотоки, которые необходимо включить в настройках камеры. Рекомендуется проверить и использовать эти потоки, если они доступны."
+        },
+        "hikvision": {
+          "substreamWarning": "Подпоток 1 заблокирован на низком разрешении. Многие камеры Hikvision поддерживают дополнительные подпотоки, которые необходимо включить в настройках камеры. Рекомендуется проверить и использовать эти потоки, если они доступны."
+        }
+      }
+    }
+  },
+  "roles": {
+    "addRole": "Добавить роль",
+    "table": {
+      "role": "Роль",
+      "cameras": "Камеры",
+      "actions": "Действия",
+      "editCameras": "Редактировать камеры",
+      "deleteRole": "Удалить роль",
+      "noRoles": "Пользовательских ролей не найдено."
+    },
+    "toast": {
+      "success": {
+        "createRole": "Роль {{role}} успешно создана",
+        "updateCameras": "Камеры обновлены для роли {{role}}",
+        "deleteRole": "Роль {{role}} успешно удалена",
+        "userRolesUpdated_one": "{{count}} пользователь, назначенный на эту роль, был обновлён до роли 'наблюдатель', которая имеет доступ ко всем камерам.",
+        "userRolesUpdated_few": "{{count}} пользователя, назначенных на эту роль, были обновлены до роли 'наблюдатель', которая имеет доступ ко всем камерам.",
+        "userRolesUpdated_many": "{{count}} пользователей, назначенных на эту роль, были обновлены до роли 'наблюдатель', которая имеет доступ ко всем камерам."
+      },
+      "error": {
+        "createRoleFailed": "Не удалось создать роль: {{errorMessage}}",
+        "updateCamerasFailed": "Не удалось обновить камеры: {{errorMessage}}",
+        "deleteRoleFailed": "Не удалось удалить роль: {{errorMessage}}",
+        "userUpdateFailed": "Не удалось обновить роли пользователей: {{errorMessage}}"
+      }
+    },
+    "dialog": {
+      "createRole": {
+        "title": "Создать новую роль",
+        "desc": "Добавьте новую роль и укажите права доступа к камерам."
+      },
+      "editCameras": {
+        "title": "Редактировать камеры роли",
+        "desc": "Обновите доступ к камерам для роли <strong>{{role}}</strong>."
+      },
+      "deleteRole": {
+        "title": "Удалить роль",
+        "desc": "Это действие нельзя отменить. Это действие навсегда удалит роль и назначит всех пользователей с этой ролью на роль 'наблюдатель', что даст наблюдателю доступ ко всем камерам.",
+        "warn": "Вы уверены, что хотите удалить <strong>{{role}}</strong>?",
+        "deleting": "Удаление…"
+      },
+      "form": {
+        "role": {
+          "title": "Название роли",
+          "placeholder": "Введите название роли",
+          "desc": "Разрешены только буквы, цифры, точки и подчёркивания.",
+          "roleIsRequired": "Требуется название роли",
+          "roleOnlyInclude": "Название роли может содержать только буквы, цифры, . или _",
+          "roleExists": "Роль с таким названием уже существует."
+        },
+        "cameras": {
+          "title": "Камеры",
+          "desc": "Выберите камеры, к которым эта роль имеет доступ. Необходимо выбрать хотя бы одну камеру.",
+          "required": "Необходимо выбрать хотя бы одну камеру."
+        }
+      }
+    },
+    "management": {
+      "title": "Управление ролями наблюдателя",
+      "desc": "Управление пользовательскими ролями наблюдателя и их правами доступа к камерам для этого экземпляра Frigate."
+    }
+  },
+  "cameraManagement": {
+    "title": "Управление камерами",
+    "addCamera": "Добавить новую камеру",
+    "editCamera": "Редактировать камеру:",
+    "selectCamera": "Выбрать камеру",
+    "backToSettings": "Вернуться к настройкам камеры",
+    "streams": {
+      "title": "Включить / Отключить камеры",
+      "desc": "Временно отключить камеру до перезапуска Frigate. Отключение камеры полностью останавливает обработку потоков этой камеры в Frigate. Обнаружение, запись и отладка будут недоступны.<br /> <em>Примечание: Это не отключает рестриминг go2rtc.</em>"
+    },
+    "cameraConfig": {
+      "add": "Добавить камеру",
+      "edit": "Редактировать камеру",
+      "description": "Настройте параметры камеры, включая входные трансляции и роли.",
+      "name": "Название камеры",
+      "nameRequired": "Требуется имя камеры",
+      "nameLength": "Название камеры должно содержать менее 64 символов.",
+      "namePlaceholder": "например, front_door или Обзор заднего двора",
+      "enabled": "Включено",
+      "ffmpeg": {
+        "inputs": "Входные потоки",
+        "path": "Путь потока",
+        "pathRequired": "Требуется путь потока",
+        "pathPlaceholder": "rtsp://…",
+        "roles": "Роли",
+        "rolesRequired": "Требуется хотя бы одна роль",
+        "rolesUnique": "Каждая роль (аудио, обнаружение, запись) может быть назначена только одной трансляции",
+        "addInput": "Добавить входной поток",
+        "removeInput": "Удалить входной поток",
+        "inputsRequired": "Требуется хотя бы один входной поток"
+      },
+      "go2rtcStreams": "Потоки go2rtc",
+      "streamUrls": "URL потоков",
+      "addUrl": "Добавить URL",
+      "addGo2rtcStream": "Добавить поток go2rtc",
+      "toast": {
+        "success": "Камера {{cameraName}} успешно сохранена"
+      }
+    }
+  },
+  "cameraReview": {
+    "title": "Настройки просмотра камеры",
+    "object_descriptions": {
+      "title": "Генеративные описания объектов ИИ",
+      "desc": "Временно включить/отключить генеративные описания объектов ИИ для этой камеры. При отключении описания объектов, сгенерированные ИИ, не будут запрашиваться для отслеживаемых объектов на этой камере."
+    },
+    "review_descriptions": {
+      "title": "Генеративные описания обзоров ИИ",
+      "desc": "Временно включить/отключить генеративные описания обзоров ИИ для этой камеры. При отключении описания обзоров, сгенерированные ИИ, не будут запрашиваться для элементов обзора на этой камере."
+    },
+    "review": {
+      "title": "Обзор",
+      "desc": "Временно включить/отключить тревоги и обнаружения для этой камеры до перезапуска Frigate. При отключении новые элементы обзора не будут создаваться. ",
+      "alerts": "Тревоги ",
+      "detections": "Обнаружения "
+    },
+    "reviewClassification": {
+      "title": "Классификация обзора",
+      "desc": "Frigate классифицирует элементы обзора как Тревоги и Обнаружения. По умолчанию все объекты <em>person</em> и <em>car</em> считаются Тревогами. Вы можете уточнить классификацию элементов обзора, настроив для них требуемые зоны.",
+      "noDefinedZones": "Для этой камеры не определено ни одной зоны.",
+      "objectAlertsTips": "Все объекты {{alertsLabels}} на камере {{cameraName}} будут отображаться как Тревоги.",
+      "zoneObjectAlertsTips": "Все объекты {{alertsLabels}}, обнаруженные в {{zone}} на камере {{cameraName}}, будут отображаться как Тревоги.",
+      "objectDetectionsTips": "Все объекты {{detectionsLabels}}, не отнесённые к категории на камере {{cameraName}}, будут отображаться как Обнаружения, независимо от того, в какой зоне они находятся.",
+      "zoneObjectDetectionsTips": {
+        "text": "Все объекты {{detectionsLabels}}, не отнесённые к категории в {{zone}} на камере {{cameraName}}, будут отображаться как Обнаружения.",
+        "notSelectDetections": "Все объекты {{detectionsLabels}}, обнаруженные в {{zone}} на камере {{cameraName}}, которые не отнесены к Тревогам, будут отображаться как Обнаружения, независимо от того, в какой зоне они находятся.",
+        "regardlessOfZoneObjectDetectionsTips": "Все объекты {{detectionsLabels}}, не отнесённые к категории на камере {{cameraName}}, будут отображаться как Обнаружения, независимо от того, в какой зоне они находятся."
+      },
+      "unsavedChanges": "Несохранённые настройки классификации обзора для {{camera}}",
+      "selectAlertsZones": "Выберите зоны для Тревог",
+      "selectDetectionsZones": "Выберите зоны для обнаружений",
+      "limitDetections": "Ограничить обнаружения определёнными зонами",
+      "toast": {
+        "success": "Конфигурация классификации обзора была сохранена. Перезапустите Frigate для применения изменений."
+      }
     }
   }
 }
diff --git a/web/public/locales/ru/views/system.json b/web/public/locales/ru/views/system.json
index ad2b914ac..f3f7a3d95 100644
--- a/web/public/locales/ru/views/system.json
+++ b/web/public/locales/ru/views/system.json
@@ -76,7 +76,12 @@
         }
       },
       "npuMemory": "Память NPU",
-      "npuUsage": "Использование NPU"
+      "npuUsage": "Использование NPU",
+      "intelGpuWarning": {
+        "title": "Предупреждение: статистика Intel GPU",
+        "message": "Статистика GPU недоступна",
+        "description": "Это известная ошибка в инструментах отчетности статистики Intel GPU (intel_gpu_top), из-за которой они ломаются и постоянно возвращают уровень использования GPU 0%, даже в случаях, когда аппаратное ускорение и обнаружение объектов корректно работают на (i)GPU. Это не ошибка Frigate. Вы можете перезапустить хост-систему, чтобы временно устранить проблему и убедиться, что GPU работает правильно. На производительность это не влияет."
+      }
     },
     "otherProcesses": {
       "title": "Другие процессы",
@@ -180,7 +185,17 @@
       "yolov9_plate_detection": "Обнаружение номеров YOLOv9",
       "face_recognition": "Распознавание лиц",
       "plate_recognition": "Распознавание номеров",
-      "image_embedding": "Векторизация изображений"
-    }
+      "image_embedding": "Векторизация изображений",
+      "review_description": "Описание проверки",
+      "review_description_speed": "Скорость просмотра описания",
+      "review_description_events_per_second": "Описание проверки",
+      "object_description": "Описание объекта",
+      "object_description_speed": "Скорость описания объекта",
+      "object_description_events_per_second": "Описание объекта",
+      "classification": "{{name}} Классификация",
+      "classification_speed": "{{name}}Классификация скорости",
+      "classification_events_per_second": "{{name}} событий классификации в секунду"
+    },
+    "averageInf": "Среднее время обработки"
   }
 }
diff --git a/web/public/locales/sk/audio.json b/web/public/locales/sk/audio.json
index 511ea3846..56129353f 100644
--- a/web/public/locales/sk/audio.json
+++ b/web/public/locales/sk/audio.json
@@ -103,5 +103,401 @@
   "toothbrush": "Zubná kefka",
   "roaring_cats": "Revúce mačky",
   "roar": "Revať",
-  "vehicle": "Vozidlo"
+  "vehicle": "Vozidlo",
+  "quack": "Quack",
+  "scissors": "Nožnice",
+  "goose": "Hus",
+  "honk": "Truba",
+  "hair_dryer": "Sušič vlasov",
+  "chirp": "Cvrlikanie",
+  "squawk": "Škriekanie",
+  "pigeon": "Holub",
+  "coo": "Vrkanie",
+  "crow": "Vrana",
+  "caw": "Krákanie",
+  "owl": "Sova",
+  "hoot": "Húkanie",
+  "flapping_wings": "Mávanie krídel",
+  "dogs": "Psi",
+  "rats": "Potkany",
+  "patter": "Plácanie",
+  "insect": "Hmyz",
+  "cricket": "Cvrček",
+  "mosquito": "Komár",
+  "fly": "Mucha",
+  "buzz": "Bzučanie",
+  "frog": "Žaba",
+  "croak": "Kvákanie žaby",
+  "snake": "Had",
+  "rattle": "Hrkanie",
+  "whale_vocalization": "Veľrybí spev",
+  "music": "Hudba",
+  "musical_instrument": "Hudobný nástroj",
+  "plucked_string_instrument": "Drnkací strunový nástroj",
+  "guitar": "Gitara",
+  "electric_guitar": "Elektrická gitara",
+  "bass_guitar": "Basová gitara",
+  "acoustic_guitar": "Akustická gitara",
+  "steel_guitar": "Oceľová gitara",
+  "tapping": "Ťukanie",
+  "strum": "Brnkanie",
+  "banjo": "Banjo",
+  "sitar": "Sitár",
+  "mandolin": "Mandolína",
+  "zither": "Citera",
+  "ukulele": "Ukulele",
+  "piano": "Klavír",
+  "electric_piano": "Elektrický klavír",
+  "organ": "Organ",
+  "electronic_organ": "Elektronické organ",
+  "gong": "Gong",
+  "tubular_bells": "Trubicové zvony",
+  "mallet_percussion": "Palička perkusie",
+  "marimba": "Marimba",
+  "orchestra": "Orchester",
+  "brass_instrument": "Žesťový nástroj",
+  "french_horn": "Lesný roh",
+  "trumpet": "Rúrka",
+  "trombone": "Trombón",
+  "bowed_string_instrument": "Sláčikový nástroj",
+  "string_section": "Sláčiková sekcia",
+  "violin": "Husle",
+  "pizzicato": "Pizzicato",
+  "cello": "Cello",
+  "double_bass": "Kontrabas",
+  "wind_instrument": "Dychový nástroj",
+  "flute": "Flauta",
+  "saxophone": "Saxofón",
+  "clarinet": "Klarinet",
+  "harp": "Harfa",
+  "bell": "Zvon",
+  "church_bell": "Kostolný zvon",
+  "jingle_bell": "Rolnička",
+  "bicycle_bell": "Cyklistický zvonček",
+  "tuning_fork": "Ladička",
+  "chime": "Zvonenie",
+  "wind_chime": "Zvonkohra",
+  "harmonica": "Harmonika",
+  "accordion": "Akordeón",
+  "bagpipes": "Dudy",
+  "didgeridoo": "Didžeridu",
+  "theremin": "Theremin",
+  "singing_bowl": "Singing Bowl",
+  "scratching": "Škrabanie",
+  "pop_music": "Popová hudba",
+  "hip_hop_music": "Hip-hopová muzika",
+  "beatboxing": "Beatboxing",
+  "rock_music": "Rocková muzika",
+  "heavy_metal": "Heavy metal",
+  "punk_rock": "Punk Rock",
+  "grunge": "Grunge",
+  "progressive_rock": "Progressive Rock",
+  "rock_and_roll": "Rock and Roll",
+  "psychedelic_rock": "Psychadelický Rock",
+  "rhythm_and_blues": "Rythm & Blues",
+  "soul_music": "Soulová hudba",
+  "reggae": "Reggae",
+  "country": "Krajina",
+  "swing_music": "Swingová hudba",
+  "bluegrass": "Bluegrass",
+  "funk": "Funk",
+  "folk_music": "Folková hudba",
+  "middle_eastern_music": "Stredo-východná hudba",
+  "jazz": "Jazz",
+  "disco": "Disco",
+  "classical_music": "Klasická hudba",
+  "opera": "Opera",
+  "electronic_music": "Elektronická hudba",
+  "house_music": "House hudba",
+  "techno": "Techno",
+  "dubstep": "Dubstep",
+  "drum_and_bass": "Drum and Bass",
+  "electronica": "Elektronická hudba",
+  "electronic_dance_music": "Elektronická tanečná hudba",
+  "ambient_music": "Ambientná hudba",
+  "trance_music": "Trance hudba",
+  "music_of_latin_america": "Latinsko-americká hudba",
+  "salsa_music": "Salsa Music",
+  "flamenco": "Flamengo",
+  "blues": "Blues",
+  "music_for_children": "Hudba pre deti",
+  "new-age_music": "Novodobá hudba",
+  "vocal_music": "Vokálna hudba",
+  "a_capella": "A Capella",
+  "music_of_africa": "Africká hudba",
+  "afrobeat": "Afrobeat",
+  "christian_music": "Kresťanská hudba",
+  "gospel_music": "Gospelová hudba",
+  "music_of_asia": "Ázijská hudba",
+  "carnatic_music": "Karnatická hudba",
+  "music_of_bollywood": "Hudba z Bollywoodu",
+  "ska": "SKA",
+  "traditional_music": "Tradičná hudba",
+  "independent_music": "Nezávislá hudba",
+  "song": "Pieseň",
+  "background_music": "Hudba na pozadí",
+  "theme_music": "Tematická hudba",
+  "jingle": "Jingle",
+  "soundtrack_music": "Soundtracková hudba",
+  "lullaby": "Uspávanka",
+  "video_game_music": "Herná hudba",
+  "shuffling_cards": "Miešanie kariet",
+  "hammond_organ": "Hammondovy organ",
+  "synthesizer": "Syntezátor",
+  "sampler": "Sampler",
+  "harpsichord": "Cembalo",
+  "percussion": "Perkusia",
+  "drum_kit": "Bubny",
+  "drum_machine": "Bicí automat",
+  "drum": "Bubon",
+  "snare_drum": "Malý bubon",
+  "rimshot": "Rana na obruč",
+  "drum_roll": "Vírenie",
+  "bass_drum": "Basový bubon",
+  "timpani": "Tympány",
+  "tabla": "Tabla",
+  "cymbal": "Činel",
+  "hi_hat": "Hi-hat",
+  "wood_block": "Drevený blok",
+  "tambourine": "Tamburína",
+  "maraca": "Maraka",
+  "glockenspiel": "Zvonkohra",
+  "vibraphone": "Vibrafón",
+  "steelpan": "Ocelový bubon",
+  "christmas_music": "Vianočná hudba",
+  "dance_music": "Tanečná hudba",
+  "wedding_music": "Svadobná hudba",
+  "happy_music": "Šťastná hudba",
+  "sad_music": "Smutná hudba",
+  "tender_music": "Nežná hudba",
+  "exciting_music": "Vzrušujúca hudba",
+  "angry_music": "Naštvaná hudba",
+  "scary_music": "Strašidelná hudba",
+  "wind": "Vietor",
+  "rustling_leaves": "Šuštiace Listy",
+  "wind_noise": "Hluk Vetra",
+  "thunderstorm": "Búrka",
+  "thunder": "Hrom",
+  "water": "Voda",
+  "rain": "Dážď",
+  "raindrop": "Dažďové kvapky",
+  "rain_on_surface": "Dážď na povrchu",
+  "stream": "Prúd",
+  "waterfall": "Vodopád",
+  "ocean": "Oceán",
+  "waves": "Vlny",
+  "steam": "Para",
+  "gurgling": "Grganie",
+  "fire": "Oheň",
+  "crackle": "Praskať",
+  "sailboat": "Plachtenie",
+  "rowboat": "Veslica",
+  "motorboat": "Motorový čln",
+  "ship": "Loď",
+  "motor_vehicle": "Motorové vozidlo",
+  "toot": "Trúbenie",
+  "car_alarm": "Autoalarm",
+  "power_windows": "Elektrické okná",
+  "skidding": "Šmykom",
+  "tire_squeal": "Pískanie pneumatík",
+  "car_passing_by": "Prechádzajúce auto",
+  "race_car": "Závodné auto",
+  "truck": "Kamión",
+  "air_brake": "Vzduchová brzda",
+  "air_horn": "Vzduchový klaksón",
+  "reversing_beeps": "Pípanie pri cúvaní",
+  "ice_cream_truck": "Auto so zmrzlinou",
+  "emergency_vehicle": "Pohotovostné vozidlo",
+  "police_car": "Policajné auto",
+  "ambulance": "Ambulancia",
+  "fire_engine": "Hasiči",
+  "traffic_noise": "Hluk z dopravy",
+  "rail_transport": "Železničná preprava",
+  "train_whistle": "Húkanie vlaku",
+  "train_horn": "Rúrenie vlaku",
+  "railroad_car": "Železničný vagón",
+  "train_wheels_squealing": "Škrípanie kolies vlaku",
+  "subway": "Metro",
+  "aircraft": "Lietadlo",
+  "aircraft_engine": "Motor lietadla",
+  "jet_engine": "Tryskový motor",
+  "propeller": "Vrtuľa",
+  "helicopter": "Helikoptéra",
+  "fixed-wing_aircraft": "Lietadlo s pevnými krídlami",
+  "engine": "Motor",
+  "light_engine": "Ľahký motor",
+  "dental_drill's_drill": "Zubná vŕtačka",
+  "lawn_mower": "Kosačka",
+  "chainsaw": "Motorová píla",
+  "medium_engine": "Stredný motor",
+  "heavy_engine": "Ťažký motor",
+  "engine_knocking": "Klepanie motora",
+  "engine_starting": "Štartovanie motora",
+  "idling": "Bežiaci motor",
+  "accelerating": "Pridávanie plynu",
+  "doorbell": "Zvonček",
+  "ding-dong": "Cink",
+  "sliding_door": "Posuvné dvere",
+  "slam": "Búchnutie",
+  "knock": "Klepanie",
+  "tap": "Poklepanie",
+  "squeak": "Škrípanie",
+  "cupboard_open_or_close": "Otváranie alebo zatváranie skrine",
+  "drawer_open_or_close": "Otváranie alebo zatváranie šuplíka",
+  "dishes": "Riad",
+  "cutlery": "Príbory",
+  "chopping": "Krájanie",
+  "frying": "Vyprážanie",
+  "microwave_oven": "Mikrovnka",
+  "water_tap": "Vodovodný kohútik",
+  "bathtub": "Vaňa",
+  "toilet_flush": "Splachovanie toalety",
+  "electric_toothbrush": "Elektrická zubná kefka",
+  "vacuum_cleaner": "Vysávač",
+  "zipper": "Zips",
+  "keys_jangling": "Klepanie kľúčov",
+  "coin": "Mince",
+  "electric_shaver": "Elektrický holiaci strojček",
+  "typing": "Písanie",
+  "typewriter": "Písací stroj",
+  "computer_keyboard": "Počítačový kľúč",
+  "writing": "Písanie",
+  "alarm": "Alarm",
+  "telephone": "Telefón",
+  "telephone_bell_ringing": "Zvonenie telefónu",
+  "ringtone": "Vyzváňací tón",
+  "telephone_dialing": "Telefonické vytáčanie",
+  "dial_tone": "Vytáčací tón",
+  "busy_signal": "Zaneprázdnený signál",
+  "alarm_clock": "Budík",
+  "siren": "Siréna",
+  "civil_defense_siren": "Siréna civilnej obrany",
+  "buzzer": "Bzučiak",
+  "smoke_detector": "Detektor dymu",
+  "fire_alarm": "Požiarny Alarm",
+  "foghorn": "Hmlovka",
+  "whistle": "Zapískať",
+  "steam_whistle": "Parná píšťalka",
+  "mechanisms": "Mechanizmy",
+  "ratchet": "Račňa",
+  "tick": "Ťik",
+  "tick-tock": "Tik-tok",
+  "gears": "Ozubené kolesá",
+  "pulleys": "Kladky",
+  "sewing_machine": "Šijací stroj",
+  "mechanical_fan": "Mechanický ventilátor",
+  "air_conditioning": "Klimatizácia",
+  "cash_register": "Registračná pokladňa",
+  "printer": "Tlačiareň",
+  "single-lens_reflex_camera": "Jednooká zrkadlovka",
+  "tools": "Nástroje",
+  "hammer": "Kladivo",
+  "jackhammer": "Zbíjačka",
+  "sawing": "Pílenie",
+  "filing": "Podanie",
+  "sanding": "Brúsenie",
+  "power_tool": "Elektrické náradie",
+  "drill": "Vŕtačka",
+  "explosion": "Explózia",
+  "gunshot": "Výstrel",
+  "machine_gun": "Guľomet",
+  "fusillade": "Streľba",
+  "artillery_fire": "Delostrelecká paľba",
+  "cap_gun": "Kapslíková pištoľ",
+  "fireworks": "Ohňostroj",
+  "firecracker": "Petarda",
+  "burst": "Prasknutie",
+  "eruption": "Erupcia",
+  "boom": "Bum",
+  "wood": "Drevo",
+  "chop": "Nasekať",
+  "splinter": "Trieska",
+  "crack": "Prasknutie",
+  "glass": "Sklo",
+  "chink": "Cinknutie",
+  "shatter": "Rozbiť",
+  "silence": "Ticho",
+  "sound_effect": "Zvukový efekt",
+  "environmental_noise": "Okolitý hluk",
+  "static": "Statické",
+  "white_noise": "Biely šum",
+  "pink_noise": "Ružový šum",
+  "television": "Televízia",
+  "radio": "Rádio",
+  "field_recording": "Záznam v teréne",
+  "scream": "Kričať",
+  "sodeling": "Sodeling",
+  "chird": "Chord",
+  "change_ringing": "Zmeniť zvonenie",
+  "shofar": "Šofar",
+  "liquid": "Kvapalina",
+  "splash": "Šplechnutie",
+  "slosh": "Slosh",
+  "squish": "Vytlačiť",
+  "drip": "Kvapkať",
+  "pour": "Nalej",
+  "trickle": "Pokvapkať",
+  "gush": "Striekať",
+  "fill": "Vyplňte",
+  "spray": "Striekajte",
+  "pump": "Pumpa",
+  "stir": "Miešajte",
+  "boiling": "Varenie",
+  "sonar": "Sonar",
+  "arrow": "Šípka",
+  "whoosh": "Ktoosh",
+  "thump": "Palec",
+  "thunk": "Thunk",
+  "electronic_tuner": "Elektronický tuner",
+  "effects_unit": "Efektuje jednotky",
+  "chorus_effect": "Zborový efekt",
+  "basketball_bounce": "Odrážanie basketbalovej lopty",
+  "bang": "Bang",
+  "slap": "Buchnutie",
+  "whack": "Odpáliť",
+  "smash": "Rozbiť",
+  "breaking": "Prelomenie",
+  "bouncing": "Odskakovanie",
+  "whip": "Bič",
+  "flap": "Klapka",
+  "scratch": "Poškriabanie",
+  "scrape": "Škrabať",
+  "rub": "Potrieť",
+  "roll": "Rolovať",
+  "crushing": "Rozdrvovanie",
+  "crumpling": "Mačkanie",
+  "tearing": "Trhanie",
+  "beep": "Pípnutie",
+  "ping": "Ping",
+  "ding": "Ding",
+  "clang": "Zvonenie",
+  "squeal": "Kňučať",
+  "creak": "Vŕzganie",
+  "rustle": "Šuchot",
+  "whir": "Vrčanie",
+  "clatter": "Cvakať",
+  "sizzle": "Syčať",
+  "clicking": "Klikanie",
+  "clickety_clack": "Klikanie kľak",
+  "rumble": "Rachot",
+  "plop": "Prasknutie",
+  "hum": "Hmkanie",
+  "zing": "Zing",
+  "boing": "Boing",
+  "crunch": "Chrumnutie",
+  "sine_wave": "Sínusoida",
+  "harmonic": "Harmonický",
+  "chirp_tone": "Cvrlikací tón",
+  "pulse": "Pulz",
+  "inside": "Vnútri",
+  "outside": "Vonku",
+  "reverberation": "Dozvuk",
+  "echo": "Ozvena",
+  "noise": "Zvuk",
+  "mains_hum": "Hlavné Hum",
+  "distortion": "Skreslenie",
+  "sidetone": "Vedľajší tón",
+  "cacophony": "Kakofónia",
+  "throbbing": "Pulzujúci",
+  "vibration": "Vibrácia"
 }
diff --git a/web/public/locales/sk/common.json b/web/public/locales/sk/common.json
index 70765d857..199493fdd 100644
--- a/web/public/locales/sk/common.json
+++ b/web/public/locales/sk/common.json
@@ -78,7 +78,10 @@
     "formattedTimestampFilename": {
       "12hour": "MM-dd-yy-h-mm-ss-a",
       "24hour": "MM-dd-yy-HH-mm-ss"
-    }
+    },
+    "inProgress": "Spracováva sa",
+    "invalidStartTime": "Neplatný čas štartu",
+    "invalidEndTime": "Neplatný čas ukončenia"
   },
   "selectItem": "Vyberte {{item}}",
   "unit": {
@@ -89,11 +92,24 @@
     "length": {
       "feet": "nohy",
       "meters": "metrov"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kb/hour",
+      "mbph": "MB/hour",
+      "gbph": "GB/hour"
     }
   },
   "readTheDocumentation": "Prečítajte si dokumentáciu",
   "label": {
-    "back": "Choď späť"
+    "back": "Choď späť",
+    "hide": "Skryť {{item}}",
+    "show": "Zobraziť {{item}}",
+    "ID": "ID",
+    "none": "None",
+    "all": "Všetko"
   },
   "button": {
     "apply": "Použiť",
@@ -127,9 +143,162 @@
     "suspended": "Pozastavené",
     "export": "Exportovať",
     "deleteNow": "Odstrániť teraz",
-    "next": "Ďalej"
+    "next": "Ďalej",
+    "unsuspended": "Zrušte pozastavenie",
+    "play": "Hrať",
+    "unselect": "Zrušte výber",
+    "continue": "Pokračovať"
   },
   "menu": {
-    "system": "Systém"
+    "system": "Systém",
+    "systemMetrics": "Systémové metriky",
+    "configuration": "Konfigurácia",
+    "systemLogs": "Systémový záznam",
+    "settings": "Nastavenia",
+    "configurationEditor": "Editor konfigurácie",
+    "languages": "Jazyky",
+    "language": {
+      "en": "English (Angličtina)",
+      "es": "Español (Španielčina)",
+      "zhCN": "简体中文 (Zjednodušená čínština)",
+      "hi": "हिन्दी (Hindčina)",
+      "fr": "Français (Francúzština)",
+      "ar": "العربية (Arabčina)",
+      "pt": "Portugalčina (Portugalčina)",
+      "ptBR": "Português brasileiro (Brazílska Portugalčina)",
+      "ru": "Русский (Ruština)",
+      "de": "nemčina (Nemčina)",
+      "ja": "日本語 (Japončina)",
+      "tr": "Türkçe (Turečtina)",
+      "it": "Italiano (Taliančina)",
+      "nl": "Nederlands (Holandčina)",
+      "sv": "Svenska (Švédčina)",
+      "cs": "Czech (Čeština)",
+      "nb": "Norsk Bokmål (Norský Bokmål)",
+      "ko": "한국어 (Korejština)",
+      "vi": "Tiếng Việt (Vietnamština)",
+      "fa": "فارسی (Perština)",
+      "pl": "Polski (Polština)",
+      "uk": "Українська (Ukrainština)",
+      "he": "עברית (Hebrejština)",
+      "el": "Ελληνικά (Gréčtina)",
+      "ro": "Română (Rumunčina)",
+      "hu": "Magyar (Maďarština)",
+      "fi": "Suomi (Fínčina)",
+      "da": "Dansk (Dánština)",
+      "sk": "Slovenčina (Slovenčina)",
+      "yue": "粵語 (Kantónčina)",
+      "th": "ไทย (Thajčina)",
+      "ca": "Català (Katalánčina)",
+      "sr": "Српски (Serbsky)",
+      "sl": "Slovinština (Slovinsko)",
+      "lt": "Lietuvių (Lithuanian)",
+      "bg": "Български (Bulgarian)",
+      "gl": "Galego (Galician)",
+      "id": "Bahasa Indonesia (Indonesian)",
+      "ur": "اردو (Urdu)",
+      "withSystem": {
+        "label": "Použiť systémové nastavenia pre jazyk"
+      }
+    },
+    "restart": "Reštartovať Frigate",
+    "live": {
+      "title": "Naživo",
+      "allCameras": "Všetky kamery",
+      "cameras": {
+        "title": "Kamery",
+        "count_one": "{{count}}kamera",
+        "count_few": "{{count}}kamery",
+        "count_other": "{{count}}kamier"
+      }
+    },
+    "export": "Exportovať",
+    "uiPlayground": "UI ihrisko",
+    "faceLibrary": "Knižnica Tvárov",
+    "user": {
+      "title": "Užívateľ",
+      "account": "Účet",
+      "current": "Aktuálny používateľ: {{user}}",
+      "anonymous": "anonymný",
+      "logout": "Odhlásiť",
+      "setPassword": "Nastaviť heslo"
+    },
+    "appearance": "Vzhľad",
+    "darkMode": {
+      "label": "Tmavý režim",
+      "light": "Svetlý",
+      "dark": "Tma",
+      "withSystem": {
+        "label": "Použiť systémové nastavenia pre svetlý a tmavý režim"
+      }
+    },
+    "withSystem": "Systém",
+    "theme": {
+      "label": "Téma",
+      "blue": "Modrá",
+      "green": "Zelená",
+      "nord": "Polárna",
+      "red": "Červená",
+      "highcontrast": "Vysoký kontrast",
+      "default": "Predvolené"
+    },
+    "help": "Pomocník",
+    "documentation": {
+      "title": "Dokumentácia",
+      "label": "Dokumentácia Frigate"
+    },
+    "review": "Recenzia",
+    "explore": "Preskúmať",
+    "classification": "Klasifikácia"
+  },
+  "toast": {
+    "copyUrlToClipboard": "Adresa URL bola skopírovaná do schránky.",
+    "save": {
+      "title": "Uložiť",
+      "error": {
+        "title": "Chyba pri ukladaní zmien konfigurácie: {{errorMessage}}",
+        "noMessage": "Chyba pri ukladaní zmien konfigurácie"
+      }
+    }
+  },
+  "role": {
+    "title": "Rola",
+    "admin": "Správca",
+    "viewer": "Divák",
+    "desc": "Správcovia majú plný prístup ku všetkým funkciám v užívateľskom rozhraní Frigate. Diváci sú obmedzení na sledovanie kamier, položiek prehľadu a historických záznamov v UI."
+  },
+  "pagination": {
+    "label": "stránkovanie",
+    "previous": {
+      "title": "Predchádzajúci",
+      "label": "Ísť na predchádzajúcu stranu"
+    },
+    "next": {
+      "title": "Ďalšia",
+      "label": "Ísť na ďalšiu stranu"
+    },
+    "more": "Viac strán"
+  },
+  "accessDenied": {
+    "documentTitle": "Prístup odmietnutý - Frigate",
+    "title": "Prístup odmietnutý",
+    "desc": "Nemáte oprávnenie zobraziť túto stránku."
+  },
+  "notFound": {
+    "documentTitle": "Nenájdené - Frigate",
+    "title": "404",
+    "desc": "Stránka nenájdená"
+  },
+  "information": {
+    "pixels": "{{area}}px"
+  },
+  "list": {
+    "two": "{{0}} a {{1}}",
+    "many": "{{items}}, a {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "Voliteľné",
+    "internalID": "Interné ID Frigate používa v konfigurácii a databáze"
   }
 }
diff --git a/web/public/locales/sk/components/auth.json b/web/public/locales/sk/components/auth.json
index a59f7d0a5..5d44c93c7 100644
--- a/web/public/locales/sk/components/auth.json
+++ b/web/public/locales/sk/components/auth.json
@@ -10,6 +10,7 @@
       "loginFailed": "Prihlásenie zlyhalo",
       "unknownError": "Neznáma chyba. Skontrolujte protokoly.",
       "webUnknownError": "Neznáma chyba. Skontrolujte protokoly konzoly."
-    }
+    },
+    "firstTimeLogin": "Snažíte sa prihlásiť prvýkrát? Prihlasovacie údaje sú vytlačené v protokoloch Frigate."
   }
 }
diff --git a/web/public/locales/sk/components/dialog.json b/web/public/locales/sk/components/dialog.json
index c1afb63f5..6904bc0d2 100644
--- a/web/public/locales/sk/components/dialog.json
+++ b/web/public/locales/sk/components/dialog.json
@@ -53,12 +53,13 @@
     "export": "Exportovať",
     "selectOrExport": "Vybrať pre Export",
     "toast": {
-      "success": "Export úspešne spustený. Súbor nájdete v adresári /exports.",
+      "success": "Export bol úspešne spustený. Súbor si pozrite na stránke exportov.",
       "error": {
         "failed": "Chyba spustenia exportu: {{error}}",
         "endTimeMustAfterStartTime": "Čas konca musí byť po čase začiatku",
         "noVaildTimeSelected": "Nie je vybrané žiadne platné časové obdobie"
-      }
+      },
+      "view": "Zobraziť"
     },
     "fromTimeline": {
       "saveExport": "Uložiť Export",
@@ -108,7 +109,8 @@
     "button": {
       "export": "Exportovať",
       "markAsReviewed": "Označiť ako skontrolované",
-      "deleteNow": "Odstrániť teraz"
+      "deleteNow": "Odstrániť teraz",
+      "markAsUnreviewed": "Označiť ako neskontrolované"
     }
   },
   "imagePicker": {
@@ -116,6 +118,7 @@
     "search": {
       "placeholder": "Hľadať podľa štítku alebo podštítku..."
     },
-    "noImages": "Pre tuto kameru sa nenašli žiadne miniatúry"
+    "noImages": "Pre tuto kameru sa nenašli žiadne miniatúry",
+    "unknownLabel": "Uložený obrázok spúšťača"
   }
 }
diff --git a/web/public/locales/sk/objects.json b/web/public/locales/sk/objects.json
index 7f0dca083..42ec664e2 100644
--- a/web/public/locales/sk/objects.json
+++ b/web/public/locales/sk/objects.json
@@ -90,5 +90,31 @@
   "toothbrush": "Zubná kefka",
   "hair_brush": "Kefa na vlasy",
   "vehicle": "Vozidlo",
-  "squirrel": "Veverička"
+  "squirrel": "Veverička",
+  "scissors": "Nožnice",
+  "teddy_bear": "Medvedík",
+  "hair_dryer": "Sušič vlasov",
+  "deer": "Jeleň",
+  "fox": "Líška",
+  "rabbit": "Zajac",
+  "raccoon": "Mýval",
+  "robot_lawnmower": "Robotická kosačka",
+  "waste_bin": "Odpadkový kôš",
+  "on_demand": "Na požiadanie",
+  "face": "Tvár",
+  "license_plate": "ŠPZ",
+  "package": "Balíček",
+  "bbq_grill": "Gril",
+  "amazon": "Amazon",
+  "usps": "USPS",
+  "ups": "UPS",
+  "fedex": "FedEx",
+  "dhl": "DHL",
+  "an_post": "An Post",
+  "purolator": "Čistič",
+  "postnl": "PostNL",
+  "nzpost": "NZPost",
+  "postnord": "PostNord",
+  "gls": "GLS",
+  "dpd": "DPD"
 }
diff --git a/web/public/locales/sk/views/classificationModel.json b/web/public/locales/sk/views/classificationModel.json
new file mode 100644
index 000000000..f8529ea20
--- /dev/null
+++ b/web/public/locales/sk/views/classificationModel.json
@@ -0,0 +1,182 @@
+{
+  "documentTitle": "Klasifikačné modely",
+  "button": {
+    "deleteClassificationAttempts": "Odstrániť obrázky klasifikácie",
+    "renameCategory": "Premenovať triedu",
+    "deleteCategory": "Odstrániť triedu",
+    "deleteImages": "Odstrániť obrázky",
+    "trainModel": "Model vlaku",
+    "addClassification": "Pridať klasifikáciu",
+    "deleteModels": "Odstrániť modely",
+    "editModel": "Editovať model"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Vymazaná trieda",
+      "deletedImage": "Vymazané obrázky",
+      "categorizedImage": "Obrázok bol úspešne klasifikovaný",
+      "trainedModel": "Úspešne vyškolený model.",
+      "trainingModel": "Úspešne spustený modelový tréning.",
+      "deletedModel_one": "Úspešne zmazané {{count}} model (y)",
+      "deletedModel_few": "",
+      "deletedModel_other": "",
+      "updatedModel": "Úspešne zmenená konfigurácia modelu",
+      "renamedCategory": "Úspešne premenovaná trieda na"
+    },
+    "error": {
+      "deleteImageFailed": "Nepodarilo sa odstrániť: {{errorMessage}}",
+      "deleteCategoryFailed": "Nepodarilo sa odstrániť triedu: {{errorMessage}}",
+      "categorizeFailed": "Nepodarilo sa kategorizovať obrázok: {{errorMessage}}",
+      "trainingFailed": "Nepodarilo sa spustiť trénovanie modelu: {{errorMessage}}",
+      "deleteModelFailed": "Nepodarilo sa odstrániť model: {{errorMessage}}",
+      "trainingFailedToStart": "Neuspešny štart trenovania modelu:",
+      "updateModelFailed": "Chyba pri úprave modelu:",
+      "renameCategoryFailed": "Chyba pri premenovani triedy:"
+    }
+  },
+  "deleteCategory": {
+    "title": "Odstrániť triedu",
+    "desc": "Naozaj chcete odstrániť triedu {{name}}? Týmto sa natrvalo odstránia všetky súvisiace obrázky a bude potrebné pretrénovať model.",
+    "minClassesTitle": "Nemožete zmazať triedu",
+    "minClassesDesc": "Klasifikačný model musí mať aspoň 2 triedy. Pred odstránením tejto triedy pridajte ďalšiu triedu."
+  },
+  "deleteDatasetImages": {
+    "title": "Odstrániť obrázky množiny údajov",
+    "desc": "Naozaj chcete odstrániť {{count}} obrázkov z {{dataset}}? Túto akciu nie je možné vrátiť späť a bude si vyžadovať pretrénovanie modelu."
+  },
+  "deleteTrainImages": {
+    "title": "Odstrániť obrázky vlakov",
+    "desc": "Naozaj chcete odstrániť {{count}} obrázkov? Túto akciu nie je možné vrátiť späť."
+  },
+  "renameCategory": {
+    "title": "Premenovať triedu",
+    "desc": "Zadajte nový názov pre {{name}}. Budete musieť model pretrénovať, aby sa zmena názvu prejavila."
+  },
+  "description": {
+    "invalidName": "Neplatné meno. Mená môžu obsahovať iba písmená, čísla, medzery, apostrofy, podčiarkovníky a spojovníky."
+  },
+  "train": {
+    "title": "Posledné klasifikácie",
+    "aria": "Vyberte Nedávne Klasifikácie",
+    "titleShort": "Nedávne"
+  },
+  "categories": "Triedy",
+  "createCategory": {
+    "new": "Vytvorenie novej triedy"
+  },
+  "categorizeImageAs": "Klasifikovať obrázok ako:",
+  "categorizeImage": "Klasifikovať obrázok",
+  "noModels": {
+    "object": {
+      "title": "Žiadne modely klasifikácie objektov",
+      "description": "Vytvorte si vlastný model na klasifikáciu detekovaných objektov.",
+      "buttonText": "Vytvorte objektový model"
+    },
+    "state": {
+      "title": "Žiadne modely klasifikácie štátov",
+      "description": "Vytvorte si vlastný model na monitorovanie a klasifikáciu zmien stavu v špecifických oblastiach kamery.",
+      "buttonText": "Vytvorte model stavu"
+    }
+  },
+  "wizard": {
+    "title": "Vytvorte novú klasifikáciu",
+    "steps": {
+      "nameAndDefine": "Názov a definícia",
+      "stateArea": "Štátna oblasť",
+      "chooseExamples": "Vyberte Príklady"
+    },
+    "step1": {
+      "description": "Stavové modely monitorujú oblasti pevných kamier a sledujú zmeny (napr. otvorenie/zatvorenie dverí). Objektové modely pridávajú klasifikácie k detekovaným objektom (napr. známe zvieratá, doručovatelia atď.).",
+      "name": "Meno",
+      "namePlaceholder": "Zadajte názov modelu...",
+      "type": "Typ",
+      "typeState": "štátu",
+      "typeObject": "Objekt",
+      "objectLabel": "Označenie objektu",
+      "objectLabelPlaceholder": "Vyberte typ objektu...",
+      "classificationType": "Typ klasifikácie",
+      "classificationTypeTip": "Získajte informácie o typoch klasifikácie",
+      "classificationTypeDesc": "Podznačky pridávajú k označeniu objektu ďalší text (napr. „Osoba: UPS“). Atribúty sú vyhľadávateľné metadáta uložené samostatne v metadátach objektu.",
+      "classificationSubLabel": "Podštítky",
+      "classificationAttribute": "Atribút",
+      "classes": "Triedy",
+      "classesTip": "Naučte sa o triedach",
+      "classesStateDesc": "Definujte rôzne stavy, v ktorých sa môže nachádzať oblasť kamery. Napríklad: „otvorené“ a „zatvorené“ pre garážovú bránu.",
+      "classesObjectDesc": "Definujte rôzne kategórie, do ktorých sa majú detekované objekty klasifikovať. Napríklad: „doručovateľ/doručovateľka“, „obyvateľ/obyvateľka“, „cudzinec/cudzinec“ pre klasifikáciu osôb.",
+      "classPlaceholder": "Zadajte názov triedy...",
+      "errors": {
+        "nameRequired": "Vyžaduje sa názov modelu",
+        "nameLength": "Názov modelu musí mať 64 znakov alebo menej",
+        "nameOnlyNumbers": "Názov modelu nemôže obsahovať iba čísla",
+        "classRequired": "Vyžaduje sa aspoň 1 kurz",
+        "classesUnique": "Názvy tried musia byť jedinečné",
+        "stateRequiresTwoClasses": "Modely štátov vyžadujú aspoň 2 triedy",
+        "objectLabelRequired": "Vyberte označenie objektu",
+        "objectTypeRequired": "Vyberte typ klasifikácie"
+      },
+      "states": "Štátov"
+    },
+    "step2": {
+      "description": "Vyberte kamery a definujte oblasť, ktorú chcete pre každú kameru monitorovať. Model klasifikuje stav týchto oblastí.",
+      "cameras": "Kamery",
+      "selectCamera": "Vyberte kameru",
+      "noCameras": "Kliknite + na pridanie kamier",
+      "selectCameraPrompt": "Vyberte kameru zo zoznamu a definujte jej oblasť monitorovania"
+    },
+    "step3": {
+      "selectImagesPrompt": "Vybrať všetky obrázky s: {{className}}",
+      "selectImagesDescription": "Kliknite na obrázky a vyberte ich. Po dokončení tejto hodiny kliknite na tlačidlo Pokračovať.",
+      "generating": {
+        "title": "Generovanie vzorových obrázkov",
+        "description": "Frigate načítava reprezentatívne obrázky z vašich nahrávok. Môže to chvíľu trvať..."
+      },
+      "training": {
+        "title": "Tréningový model",
+        "description": "Váš model sa trénuje na pozadí. Zatvorte toto dialógové okno a váš model sa spustí hneď po dokončení trénovania."
+      },
+      "retryGenerate": "Opakovať generovanie",
+      "noImages": "Nevygenerovali sa žiadne vzorové obrázky",
+      "classifying": "Klasifikácia a tréning...",
+      "trainingStarted": "Školenie začalo úspešne",
+      "errors": {
+        "noCameras": "Nie sú nakonfigurované žiadne kamery",
+        "noObjectLabel": "Nie je vybratý žiadny štítok objektu",
+        "generateFailed": "Nepodarilo sa vygenerovať príklady: {{error}}",
+        "generationFailed": "Generovanie zlyhalo. Skúste to znova.",
+        "classifyFailed": "Nepodarilo sa klasifikovať obrázky: {{error}}"
+      },
+      "generateSuccess": "Vzorové obrázky boli úspešne vygenerované",
+      "allImagesRequired_one": "Uveďte všetky obrázky. {{count}} obrázok zostáva.",
+      "allImagesRequired_few": "Uveďte všetky obrázky. {{count}} obrázky zostávajú.",
+      "allImagesRequired_other": "Uveďte všetky obrázky. {{count}} obrázkov zostávajú.",
+      "modelCreated": "Model vytvorený úspešne. Použite aktuálne klasifikácie na pridanie obrázkov pre chýbajúce stavy a nasledne dajte trénovať model.",
+      "missingStatesWarning": {
+        "title": "Chýbajúce príklady stavov"
+      }
+    }
+  },
+  "deleteModel": {
+    "title": "Odstrániť klasifikačný model",
+    "single": "Ste si istí, že chcete odstrániť {{name}}? To bude trvalo odstrániť všetky súvisiace údaje vrátane obrázkov a vzdelávacích údajov. Táto akcia nemôže byť neporušená.",
+    "desc": "Ste si istí, že chcete odstrániť {{count}} model (y)? To bude trvalo odstrániť všetky súvisiace údaje vrátane obrázkov a vzdelávacích údajov. Táto akcia nemôže byť neporušená."
+  },
+  "menu": {
+    "objects": "Objekty",
+    "states": "Štátov"
+  },
+  "details": {
+    "scoreInfo": "Skóre predstavuje priemernú istotu klasifikácie naprieč detekciami tohoto objektu."
+  },
+  "tooltip": {
+    "trainingInProgress": "Model sa aktuálne trénuje",
+    "noNewImages": "Žiadne nové obrázky na trénovanie. Najskor klasifikuj nové obrazky do datasetu.",
+    "noChanges": "Žiadne zmeny v datasete od posledného tréningu.",
+    "modelNotReady": "Model nie je pripravený na trénovanie."
+  },
+  "edit": {
+    "title": "Nastavenie modelu",
+    "descriptionState": "Upravte triedy pre tento model klasifikácie. Zmeny budú vyžadovať pretrénovanie modelu.",
+    "descriptionObject": "Upravte typ objektu a typ klasifikácie pre tento model klasifikácie.",
+    "stateClassesInfo": "Poznámka: Zmena tried stavov vyžaduje pretrénovanie modelu s aktualizovanými triedami."
+  }
+}
diff --git a/web/public/locales/sk/views/events.json b/web/public/locales/sk/views/events.json
index 7f886645c..fe86d41d5 100644
--- a/web/public/locales/sk/views/events.json
+++ b/web/public/locales/sk/views/events.json
@@ -36,5 +36,27 @@
   "camera": "Kamera",
   "detected": "Detekované",
   "suspiciousActivity": "Podozrivá aktivita",
-  "threateningActivity": "Ohrozujúca činnosť"
+  "threateningActivity": "Ohrozujúca činnosť",
+  "detail": {
+    "noDataFound": "Žiadne podrobné údaje na kontrolu",
+    "aria": "Prepnúť zobrazenie detailov",
+    "trackedObject_one": "objekt",
+    "trackedObject_other": "objekty",
+    "noObjectDetailData": "Nie sú k dispozícii žiadne podrobné údaje o objekte.",
+    "label": "Detail",
+    "settings": "Nastavenia podrobného zobrazenia",
+    "alwaysExpandActive": {
+      "title": "Rozbaľte vždy aktívne",
+      "desc": "Vždy rozbaľte podrobnosti objektu aktívnej položky recenzie, ak sú k dispozícii."
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Sledovaný bod",
+    "clickToSeek": "Kliknutím prejdete na tento čas"
+  },
+  "zoomIn": "Priblížiť",
+  "zoomOut": "Oddialiť",
+  "normalActivity": "Narmalne",
+  "needsReview": "Potrebuje preakúmať",
+  "securityConcern": "Záujem o bezpečnosť"
 }
diff --git a/web/public/locales/sk/views/explore.json b/web/public/locales/sk/views/explore.json
index ba860b422..223eb80fd 100644
--- a/web/public/locales/sk/views/explore.json
+++ b/web/public/locales/sk/views/explore.json
@@ -21,7 +21,7 @@
           "regenerate": "Od poskytovateľa {{provider}} bol vyžiadaný nový popis. V závislosti od rýchlosti vášho poskytovateľa môže jeho obnovenie chvíľu trvať.",
           "updatedSublabel": "Podštítok bol úspešne aktualizovaný.",
           "updatedLPR": "ŠPZ bola úspešne aktualizovaná.",
-          "audioTranscription": "Úspešne požiadané o prepis zvuku."
+          "audioTranscription": "Úspešne požiadané o prepis zvuku. V závislosti od rýchlosti vášho servera Frigate môže dokončenie prepisu trvať určitý čas."
         },
         "error": {
           "regenerate": "Nepodarilo sa zavolať od {{provider}} pre nový popis: {{errorMessage}}",
@@ -58,13 +58,24 @@
     "camera": "Kamera",
     "zones": "Zóny",
     "button": {
-      "findSimilar": "Nájsť podobné"
+      "findSimilar": "Nájsť podobné",
+      "regenerate": {
+        "title": "Regenerovať",
+        "label": "Obnoviť popis sledovaného objektu"
+      }
     },
     "description": {
       "placeholder": "Popis sledovaného objektu",
-      "aiTips": "Frigate si od vášho poskytovateľa generatívnej umelej inteligencie nevyžiada popis, kým sa neukončí životný cyklus sledovaného objektu."
+      "aiTips": "Frigate si od vášho poskytovateľa generatívnej umelej inteligencie nevyžiada popis, kým sa neukončí životný cyklus sledovaného objektu.",
+      "label": "Popis"
     },
-    "expandRegenerationMenu": "Rozbaľte ponuku regenerácie"
+    "expandRegenerationMenu": "Rozbaľte ponuku regenerácie",
+    "regenerateFromSnapshot": "Obnoviť zo snímky",
+    "regenerateFromThumbnails": "Obnoviť z miniatúr",
+    "tips": {
+      "descriptionSaved": "Úspešne uložený popis",
+      "saveDescriptionFailed": "Nepodarilo sa aktualizovať popis: {{errorMessage}}"
+    }
   },
   "exploreMore": "Preskumať viac {{label}} objektov",
   "exploreIsUnavailable": {
@@ -100,7 +111,9 @@
     "details": "detaily",
     "snapshot": "snímka",
     "video": "video",
-    "object_lifecycle": "životný cyklus objektu"
+    "object_lifecycle": "životný cyklus objektu",
+    "thumbnail": "Náhľad",
+    "tracking_details": "Pohybové detaili"
   },
   "objectLifecycle": {
     "title": "Životný cyklus Objektu",
@@ -150,5 +163,133 @@
       "previous": "Predchádzajúca snímka",
       "next": "Ďalšia snímka"
     }
+  },
+  "itemMenu": {
+    "downloadVideo": {
+      "label": "Stiahnut video",
+      "aria": "Stiahnite si video"
+    },
+    "downloadSnapshot": {
+      "label": "Stiahnite si snímok",
+      "aria": "Stiahnite si snímok"
+    },
+    "viewObjectLifecycle": {
+      "label": "Pozrieť životný cyklus objektu",
+      "aria": "Životný cyklus objektu"
+    },
+    "findSimilar": {
+      "label": "Nájsť podobné",
+      "aria": "Nájdite podobné sledované objekty"
+    },
+    "addTrigger": {
+      "label": "Pridať spúšťač",
+      "aria": "Pridať spúšťač pre tento sledovaný objekt"
+    },
+    "audioTranscription": {
+      "label": "Prepisovať",
+      "aria": "Požiadajte o prepis zvuku"
+    },
+    "submitToPlus": {
+      "label": "Odoslať na Frigate+",
+      "aria": "Odoslať na Frigate Plus"
+    },
+    "viewInHistory": {
+      "label": "Zobraziť v histórii",
+      "aria": "Zobraziť v histórii"
+    },
+    "deleteTrackedObject": {
+      "label": "Odstrániť tento sledovaný objekt"
+    },
+    "showObjectDetails": {
+      "label": "Zobraziť cestu objektu"
+    },
+    "hideObjectDetails": {
+      "label": "Skryť cestu objektu"
+    },
+    "viewTrackingDetails": {
+      "label": "Zobraziť podrobnosti sledovania",
+      "aria": "Zobraziť podrobnosti o sledovaní"
+    },
+    "downloadCleanSnapshot": {
+      "label": "Stiahnuť čistý snapshot",
+      "aria": "Stiahnuť čistý snapshot"
+    }
+  },
+  "dialog": {
+    "confirmDelete": {
+      "title": "Potvrdiť zmazanie",
+      "desc": "Odstránením tohto sledovaného objektu sa odstráni snímka, všetky uložené vložené prvky a všetky súvisiace položky s podrobnosťami o sledovaní. Zaznamenané zábery tohto sledovaného objektu v zobrazení História <em>NEBUDÚ</em> odstránené.<br /><br />Naozaj chcete pokračovať?"
+    }
+  },
+  "noTrackedObjects": "Žiadne sledované objekty neboli nájdené",
+  "fetchingTrackedObjectsFailed": "Chyba pri načítaní sledovaných objektov: {{errorMessage}}",
+  "trackedObjectsCount_one": "{{count}} sledovaný objekt ",
+  "trackedObjectsCount_few": "{{count}} sledované objekty ",
+  "trackedObjectsCount_other": "{{count}} sledovaných objektov ",
+  "searchResult": {
+    "tooltip": "Zhoda s {{type}} na {{confidence}} %",
+    "deleteTrackedObject": {
+      "toast": {
+        "success": "Sledovaný objekt úspešne zmazaný.",
+        "error": "Sledovaný objekt sa nepodarilo zmazať: {{errorMessage}}"
+      }
+    },
+    "previousTrackedObject": "Predchádzajúci trackovaný objekt",
+    "nextTrackedObject": "Ďalší trackovaný objekt"
+  },
+  "aiAnalysis": {
+    "title": "Analýza AI"
+  },
+  "concerns": {
+    "label": "Obavy"
+  },
+  "trackingDetails": {
+    "title": "Podrobnosti sledovania",
+    "noImageFound": "Pre túto časovú pečiatku sa nenašiel žiadny obrázok.",
+    "createObjectMask": "Vytvoriť masku objektu",
+    "adjustAnnotationSettings": "Upravte nastavenia anotácií",
+    "scrollViewTips": "Kliknite pre zobrazenie významných momentov životného cyklu tohto objektu.",
+    "autoTrackingTips": "Pozície ohraničujúcich rámčekov budú pre kamery s automatickým sledovaním nepresné.",
+    "count": "{{first}} z {{second}}",
+    "trackedPoint": "Sledovaný bod",
+    "lifecycleItemDesc": {
+      "visible": "Zistený {{label}}",
+      "entered_zone": "{{label}} vstúpil do {{zones}}",
+      "active": "{{label}} sa stal aktívnym",
+      "stationary": "{{label}} sa zastavil",
+      "attribute": {
+        "faceOrLicense_plate": "Pre {{label}} bol zistený {{attribute}}",
+        "other": "{{label}} rozpoznané ako {{attribute}}"
+      },
+      "gone": "{{label}} zostalo",
+      "heard": "{{label}} počul",
+      "external": "Zistený {{label}}",
+      "header": {
+        "zones": "Zóny",
+        "ratio": "Pomer",
+        "area": "Oblasť",
+        "score": "Skóre"
+      }
+    },
+    "annotationSettings": {
+      "title": "Nastavenia anotácií",
+      "showAllZones": {
+        "title": "Zobraziť všetky zóny",
+        "desc": "Vždy zobrazovať zóny na rámoch, do ktorých objekty vstúpili."
+      },
+      "offset": {
+        "label": "Odsadenie anotácie",
+        "desc": "Tieto údaje pochádzajú z detektoru kamery, ale sú prepustené na obrázky z rekordného krmiva. Je nepravdepodobné, že dva prúdy sú perfektne synchronizované. V dôsledku toho, skreslenie box a zábery nebudú dokonale zaradiť. Toto nastavenie môžete použiť na ofsetovanie annotácií dopredu alebo dozadu, aby ste ich lepšie zladili s zaznamenanými zábermi.",
+        "millisecondsToOffset": "Milisekundy na posunutie detekcie anotácií. <em>Predvolené: 0</em>",
+        "tips": "TIP: Predstavte si klip udalosti, v ktorom osoba kráča zľava doprava. Ak je ohraničujúci rámček časovej osi udalosti stále naľavo od osoby, hodnota by sa mala znížiť. Podobne, ak osoba kráča zľava doprava a ohraničujúci rámček je stále pred ňou, hodnota by sa mala zvýšiť.",
+        "toast": {
+          "success": "Odsadenie anotácie pre {{camera}} bolo uložené do konfiguračného súboru. Reštartujte Frigate, aby sa zmeny prejavili."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Predchádzajúca snímka",
+      "next": "Ďalšia snímka"
+    }
   }
 }
diff --git a/web/public/locales/sk/views/exports.json b/web/public/locales/sk/views/exports.json
index 53c83f090..d9df68500 100644
--- a/web/public/locales/sk/views/exports.json
+++ b/web/public/locales/sk/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "Nepodarilo sa premenovať export: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Zdieľať export",
+    "downloadVideo": "Stiahnite si video",
+    "editName": "Upraviť meno",
+    "deleteExport": "Odstrániť export"
   }
 }
diff --git a/web/public/locales/sk/views/faceLibrary.json b/web/public/locales/sk/views/faceLibrary.json
index 81d546142..ba46fda1f 100644
--- a/web/public/locales/sk/views/faceLibrary.json
+++ b/web/public/locales/sk/views/faceLibrary.json
@@ -1,7 +1,7 @@
 {
   "description": {
-    "addFace": "Sprievodca pridáním novej kolekcie do Knižnice tvárí.",
-    "invalidName": "Neplatný názov. Názov može obsahovať iba písmená, čísla, medzery, apostrofy, podtržníky a pomlčky.",
+    "addFace": "Pridajte novú kolekciu do Face Library nahrať svoj prvý obrázok.",
+    "invalidName": "Neplatné meno. Mená môžu obsahovať iba písmená, čísla, medzery, apostrofy, podčiarkovníky a spojovníky.",
     "placeholder": "Zadajte názov pre túto kolekciu"
   },
   "details": {
@@ -23,7 +23,7 @@
     "title": "Vytvoriť Zbierku",
     "desc": "Vytvoriť novú zbierku",
     "new": "Vytvoriť novú tvár",
-    "nextSteps": "Vybudovanie pevných základov: <li> Pomocou záložky Tréning vyberte a trénujte obrázky pre každú detekovanú osobu.</li><li>Pre dosiahnutie najlepších výsledkov sa zamerajte na snímky s priamym pohľadom; vyhnite sa snímkam, ktoré zachytávajú tváre pod uhlom.</li></ul>"
+    "nextSteps": "Vybudovanie silného základu:<li>Použite kartu Nedávne rozpoznania na výber a trénovanie obrázkov pre každú rozpoznanú osobu.</li><li>Pre dosiahnutie najlepších výsledkov sa zamerajte na priame obrázky; vyhnite sa trénovaniu obrázkov, ktoré zachytávajú tváre pod uhlom.</li></ul>"
   },
   "steps": {
     "faceName": "Zadajte Meno tváre",
@@ -34,8 +34,8 @@
     }
   },
   "train": {
-    "title": "Trénovať",
-    "aria": "Vybrať tréning",
+    "title": "Nedávne uznania",
+    "aria": "Vyberte posledné rozpoznania",
     "empty": "Neexistujú žiadne predchádzajúce pokusy o rozpoznávanie tváre"
   },
   "selectItem": "Vyberte {{item}}",
@@ -67,7 +67,7 @@
       "selectImage": "Vyberte súbor s obrázkom."
     },
     "dropActive": "Presunte obrázok sem…",
-    "dropInstructions": "Potiahnite sem obrázok alebo ho vyberte kliknutím",
+    "dropInstructions": "Pretiahnite obrázok tu, alebo kliknite na výber",
     "maxSize": "Max velkosť: {{size}} MB"
   },
   "nofaces": "Žiadne tváre",
diff --git a/web/public/locales/sk/views/live.json b/web/public/locales/sk/views/live.json
index e892ef122..546a6035e 100644
--- a/web/public/locales/sk/views/live.json
+++ b/web/public/locales/sk/views/live.json
@@ -90,8 +90,8 @@
     "disable": "Skryť štatistiky streamu"
   },
   "manualRecording": {
-    "title": "Nahrávanie na požiadanie",
-    "tips": "Spustiť manuálnu udalosť na základe nastavení uchovávania záznamu tejto kamery.",
+    "title": "Na požiadanie",
+    "tips": "Stiahnite si okamžité snímky alebo začnite manuálnu akciu založenú na nastavení nahrávania tejto kamery.",
     "playInBackground": {
       "label": "Hrať na pozadí",
       "desc": "Povoľte túto možnosť, ak chcete pokračovať v streamovaní, aj keď je prehrávač skrytý."
@@ -136,6 +136,9 @@
     "playInBackground": {
       "label": "Hrať na pozadí",
       "tips": "Povoľte túto možnosť, ak chcete pokračovať v streamovaní, aj keď je prehrávač skrytý."
+    },
+    "debug": {
+      "picker": "Výber streamu nie je k dispozícii v režime ladenia. Zobrazenie ladenia vždy používa stream, ktorému je priradená rola detekcie."
     }
   },
   "cameraSettings": {
@@ -165,5 +168,20 @@
       "label": "Upraviť skupinu kamier"
     },
     "exitEdit": "Ukončiť úpravy"
+  },
+  "noCameras": {
+    "title": "Nie sú konfigurované žiadne kamery",
+    "description": "Začnite tým, že pripojíte kameru do Frigate.",
+    "buttonText": "Pridať kameru",
+    "restricted": {
+      "title": "Žiadne kamery k dispozícii",
+      "description": "Nemáte povolenie na zobrazenie akýchkoľvek kamier v tejto skupine."
+    }
+  },
+  "snapshot": {
+    "takeSnapshot": "Stiahnite si okamžité snímky",
+    "noVideoSource": "Žiadny zdroj videa k dispozícii pre snapshot.",
+    "captureFailed": "Nepodarilo sa zachytiť snímku.",
+    "downloadStarted": "Sťahovanie snímky sa začalo."
   }
 }
diff --git a/web/public/locales/sk/views/settings.json b/web/public/locales/sk/views/settings.json
index 0d0a1fda7..900236606 100644
--- a/web/public/locales/sk/views/settings.json
+++ b/web/public/locales/sk/views/settings.json
@@ -7,9 +7,11 @@
     "masksAndZones": "Editor masky a zón - Frigate",
     "motionTuner": "Ladič detekcie pohybu - Frigate",
     "object": "Ladenie - Frigate",
-    "general": "Všeobecné nastavenia – Frigate",
+    "general": "UI nastavenia – Frigate",
     "frigatePlus": "Nastavenia Frigate+ – Frigate",
-    "notifications": "Nastavenia upozornení – Frigate"
+    "notifications": "Nastavenia upozornení – Frigate",
+    "cameraManagement": "Manažment kamier - Frigate",
+    "cameraReview": "Nastavenie kamier - Frigate"
   },
   "menu": {
     "ui": "Uživaťelské rozohranie",
@@ -21,7 +23,10 @@
     "users": "Uživatelia",
     "notifications": "Notifikacie",
     "frigateplus": "Frigate+",
-    "triggers": "Spúšťače"
+    "triggers": "Spúšťače",
+    "roles": "Roly",
+    "cameraManagement": "Manažment",
+    "cameraReview": "Recenzia"
   },
   "dialog": {
     "unsavedChanges": {
@@ -34,7 +39,7 @@
     "noCamera": "Žiadna Kamera"
   },
   "general": {
-    "title": "Hlavné nastavenia",
+    "title": "UI nastavenia",
     "liveDashboard": {
       "title": "Živý Dashboard",
       "automaticLiveView": {
@@ -44,6 +49,14 @@
       "playAlertVideos": {
         "label": "Prehrať videá s upozornením",
         "desc": "Predvolene sa nedávne upozornenia na paneli Živé vysielanie prehrávajú ako krátke cyklické videá. Túto možnosť vypnite, ak chcete zobrazovať iba statický obrázok nedávnych upozornení na tomto zariadení/prehliadači."
+      },
+      "displayCameraNames": {
+        "label": "Vždy Zobraziť názvy kamier",
+        "desc": "Vždy zobrazujte názvy kamier v čipe na ovládacom paneli živého náhľadu z viacerých kamier."
+      },
+      "liveFallbackTimeout": {
+        "label": "Časový limit",
+        "desc": "Keď je kamerový vysoko kvalitný živý stream nedostupný, prejdite späť na režim nízkej kvality. Predvolené: 3."
       }
     },
     "storedLayouts": {
@@ -151,7 +164,1047 @@
     "review": {
       "title": "Recenzia",
       "desc": "Dočasne povoliť/zakázať upozornenia a detekcie pre túto kameru, kým sa Frigate nereštartuje. Po zakázaní sa nebudú generovať žiadne nové položky kontroly. ",
-      "alerts": "Upozornenia "
+      "alerts": "Upozornenia ",
+      "detections": "Detekcie "
+    },
+    "object_descriptions": {
+      "title": "Generatívne popisy objektov umelej inteligencie",
+      "desc": "Dočasne povoliť/zakázať generatívne popisy objektov AI pre túto kameru. Ak je táto funkcia zakázaná, pre sledované objekty na tejto kamere sa nebudú vyžadovať popisy generované AI."
+    },
+    "review_descriptions": {
+      "title": "Popisy generatívnej umelej inteligencie",
+      "desc": "Dočasne povoliť/zakázať generatívne popisy kontroly pomocou umelej inteligencie pre túto kameru. Ak je táto funkcia zakázaná, popisy generované umelou inteligenciou sa nebudú vyžadovať pre položky kontroly v tejto kamere."
+    },
+    "reviewClassification": {
+      "title": "Preskúmať klasifikáciu",
+      "desc": "Frigate kategorizuje položky recenzií ako Upozornenia a Detekcie. Predvolene sa všetky objekty typu <em>osoba</em> a <em>auto</em> považujú za Upozornenia. Kategorizáciu položiek recenzií môžete spresniť konfiguráciou požadovaných zón pre ne.",
+      "noDefinedZones": "Pre túto kameru nie sú definované žiadne zóny.",
+      "objectAlertsTips": "Všetky objekty {{alertsLabels}} na {{cameraName}} sa zobrazia ako Upozornenia.",
+      "zoneObjectAlertsTips": "Všetky objekty {{alertsLabels}} detekované v {{zone}} na {{cameraName}} budú zobrazené ako Upozornenia.",
+      "objectDetectionsTips": "Všetky objekty {{detectionsLabels}}, ktoré nie sú zaradené do kategórie {{cameraName}}, sa zobrazia ako detekcie bez ohľadu na to, v ktorej zóne sa nachádzajú.",
+      "zoneObjectDetectionsTips": {
+        "text": "Všetky objekty {{detectionsLabels}}, ktoré nie sú zaradené do kategórie {{zone}} na kamere {{cameraName}}, budú zobrazené ako detekcie.",
+        "notSelectDetections": "Všetky objekty typu {{detectionsLabels}} detekované v zóne {{zone}} na kamere {{cameraName}}, ktoré nie sú zaradené do kategórie Upozornenia, sa zobrazia ako Detekcie bez ohľadu na to, v ktorej zóne sa nachádzajú.",
+        "regardlessOfZoneObjectDetectionsTips": "Všetky objekty {{detectionsLabels}}, ktoré nie sú zaradené do kategórie {{cameraName}}, sa zobrazia ako detekcie bez ohľadu na to, v ktorej zóne sa nachádzajú."
+      },
+      "unsavedChanges": "Neuložené nastavenia klasifikácie recenzií pre {{camera}}",
+      "selectAlertsZones": "Vyberte podobné sledované objekty",
+      "selectDetectionsZones": "Vyberte zóny pre detekcie",
+      "limitDetections": "Obmedziť detekciu na konkrétne zóny",
+      "toast": {
+        "success": "Konfigurácia klasifikácie bola uložená. Reštartujte Frigate, aby sa zmeny prejavili."
+      }
+    },
+    "addCamera": "Pridať novu kameru",
+    "editCamera": "Upraviť kameru:",
+    "selectCamera": "Vyberte kameru",
+    "backToSettings": "Späť na nastavenia kamery",
+    "cameraConfig": {
+      "add": "Pridať kameru",
+      "edit": "Upraviť kameru",
+      "description": "Konfigurovať nastavenia kamery, vrátane vstupov streamu a rolí.",
+      "name": "Názov kamery",
+      "nameRequired": "Názov kamery je povinný",
+      "nameLength": "Názov kamery musí mať menej ako 24 znakov.",
+      "namePlaceholder": "napr. predné dvere",
+      "enabled": "Povoliť",
+      "ffmpeg": {
+        "inputs": "Vstupné streamy",
+        "path": "Cesta streamu",
+        "pathRequired": "Cesta k streamu je povinná",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "Roly",
+        "rolesRequired": "Je vyžadovaná aspoň jedna rola",
+        "rolesUnique": "Každá rola (audio, detekcia, záznam) môže byť priradená iba k jednému streamu",
+        "addInput": "Pridať vstupný stream",
+        "removeInput": "Odobrať vstupný stream",
+        "inputsRequired": "Je vyžadovaný aspoň jeden vstupný stream"
+      },
+      "toast": {
+        "success": "Kamera {{cameraName}} bola úspešne uložená"
+      }
+    }
+  },
+  "masksAndZones": {
+    "filter": {
+      "all": "Všetky Masky a Zóny"
+    },
+    "restart_required": "Vyžadovaný reštart (masky/zóny boli zmenené)",
+    "toast": {
+      "success": {
+        "copyCoordinates": "Súradnice pre {{polyName}} skopírované do schránky."
+      },
+      "error": {
+        "copyCoordinatesFailed": "Nemohol kopírovať súradnice na klipboard."
+      }
+    },
+    "form": {
+      "polygonDrawing": {
+        "error": {
+          "mustBeFinished": "Kreslenie polygónu musí byť pred uložením dokončené."
+        },
+        "removeLastPoint": "Odobrať posledný bod",
+        "reset": {
+          "label": "Vymazať všetky body"
+        },
+        "snapPoints": {
+          "true": "Prichytávať body",
+          "false": "Neprichytávať body"
+        },
+        "delete": {
+          "title": "Potvrdiť Zmazanie",
+          "desc": "Naozaj chcete zmazať {{type}}<em>{{name}}</em>?",
+          "success": "{{name}} bolo zmazané."
+        }
+      },
+      "zoneName": {
+        "error": {
+          "mustBeAtLeastTwoCharacters": "Názov Zóny musia mať minimálne 2 znaky.",
+          "mustNotBeSameWithCamera": "Názov Zóny nesmie byť rovnaký ako názov kamery.",
+          "alreadyExists": "Zóna s rovnakým názvom pri tejto kamere už existuje.",
+          "mustNotContainPeriod": "Názov zóny nesmie obsahovať bodky.",
+          "hasIllegalCharacter": "Názov zóny obsahuje zakázané znaky.",
+          "mustHaveAtLeastOneLetter": "Názov zóny musí mať aspoň jedno písmeno."
+        }
+      },
+      "distance": {
+        "error": {
+          "text": "Vzdialenosť musí byť väčšia alebo rovná 0.1.",
+          "mustBeFilled": "Na použitie odhadu rýchlosti musia byť vyplnené všetky polia pre vzdialenosť."
+        }
+      },
+      "inertia": {
+        "error": {
+          "mustBeAboveZero": "Zotrvačnosť musí byť väčšia ako 0."
+        }
+      },
+      "loiteringTime": {
+        "error": {
+          "mustBeGreaterOrEqualZero": "Doba zotrvania musí byť väčšia alebo rovná nule."
+        }
+      },
+      "speed": {
+        "error": {
+          "mustBeGreaterOrEqualTo": "Prahová hodnota rýchlosti musí byť väčšia alebo rovná 0,1."
+        }
+      }
+    },
+    "zones": {
+      "label": "Zóny",
+      "documentTitle": "Upraviť Zónu - Frigate",
+      "desc": {
+        "title": "Zóny umožňujú definovať konkrétnu oblasť v zábere, vďaka čomu je možné určiť, či sa objekt nachádza v danej oblasti alebo nie.",
+        "documentation": "Dokumentácia"
+      },
+      "clickDrawPolygon": "Kliknite pre kreslenie polygónu na obrázku.",
+      "name": {
+        "title": "Meno",
+        "inputPlaceHolder": "Zadajte meno…",
+        "tips": "Názov musí mať aspoň 2 znaky, musí mať aspoň jedno písmeno a nesmie byť názvom kamery alebo inej zóny."
+      },
+      "inertia": {
+        "title": "Zotrvačnosť",
+        "desc": "Určuje, po koľkých snímkach strávených v zóne je objekt považovaný za prítomný v tejto zóne.<em>Predvolená hodnota: 3</em>"
+      },
+      "loiteringTime": {
+        "title": "Doba zotrvania",
+        "desc": "Nastavuje minimálnu dobu v sekundách, počas ktorej musí byť objekt v zóne, aby došlo k aktivácii.<em>Predvolená hodnota: 0</em>"
+      },
+      "objects": {
+        "title": "Objekty",
+        "desc": "Zoznam objektov, na ktoré sa táto zóna vzťahuje."
+      },
+      "allObjects": "Všetky Objekty",
+      "speedEstimation": {
+        "title": "Odhad rýchlosti",
+        "desc": "Povoliť odhad rýchlosti pre objekty v tejto zóne. Zóna musí mať presne 4 body.",
+        "lineADistance": "Vzdialenosť linky A ({{unit}})",
+        "lineBDistance": "Vzdialenosť linky B ({{unit}})",
+        "lineCDistance": "Vzdialenosť linky C ({{unit}})",
+        "lineDDistance": "Vzdialenosť linky D ({{unit}})"
+      },
+      "speedThreshold": {
+        "title": "Prah rýchlosti ({{unit}})",
+        "desc": "Určuje minimálnu rýchlosť, pri ktorej sú objekty v tejto zóne zohľadnené.",
+        "toast": {
+          "error": {
+            "pointLengthError": "Odhad rýchlosti bol pre túto zónu deaktivovaný. Zóny s odhadom rýchlosti musia mať presne 4 body.",
+            "loiteringTimeError": "Pokiaľ má zóna nastavenú dobu zotrvania väčšiu ako 0, neodporúča sa používať odhad rýchlosti."
+          }
+        }
+      },
+      "toast": {
+        "success": "Zóna {{zoneName}} bola uložená. Reštartujte Frigate pre aplikovanie zmien."
+      },
+      "add": "Pridať zónu",
+      "edit": "Upraviť zónu",
+      "point_one": "{{count}}bod",
+      "point_few": "{{count}}body",
+      "point_other": "{{count}}bodov"
+    },
+    "motionMasks": {
+      "label": "Maska Detekcia pohybu",
+      "documentTitle": "Editovať Masku Detekcia pohybu - Frigate",
+      "desc": {
+        "title": "Masky detekcie pohybu slúžia na zabránenie nežiaducim typom pohybu v spustení detekcie. Príliš rozsiahle maskovanie však môže sťažiť sledovanie objektov.",
+        "documentation": "Dokumentácia"
+      },
+      "add": "Nová Maska Detekcia pohybu",
+      "edit": "Upraviť Masku Detekcia pohybu",
+      "context": {
+        "title": "Masky detekcie pohybu slúžia na zabránenie tomu, aby nežiaduce typy pohybu spúšťali detekciu (napríklad vetvy stromov alebo časové značky kamery). Masky detekcie pohybu by sa mali používať <em>veľmi striedmo</em> – príliš rozsiahle maskovanie môže sťažiť sledovanie objektov."
+      },
+      "point_one": "{{count}} bod",
+      "point_few": "{{count}} body",
+      "point_other": "{{count}} bodov",
+      "clickDrawPolygon": "Kliknutím nakreslíte polygón do obrázku.",
+      "polygonAreaTooLarge": {
+        "title": "Maska detekcie pohybu pokrýva {{polygonArea}}% záberu kamery. Príliš veľké masky detekcie pohybu nie sú odporúčané.",
+        "tips": "Masky detekcie pohybu nebránia detekcii objektov. Namiesto toho by ste mali použiť požadovanú zónu."
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} bol uložený. Reštartujte Frigate pre aplikovanie zmien.",
+          "noName": "Maska Detekcia pohybu bola uložená. Reštartujte Frigate pre aplikovanie zmien."
+        }
+      }
+    },
+    "objectMasks": {
+      "label": "Masky Objektu",
+      "documentTitle": "Upraviť Masku Objektu - Frigate",
+      "desc": {
+        "title": "Masky filtrovania objektov slúžia na odfiltrovanie falošných detekcií daného typu objektu na základe jeho umiestnenia.",
+        "documentation": "Dokumentácia"
+      },
+      "add": "Pridať Masku Objektu",
+      "edit": "Upraviť Masku Objektu",
+      "context": "Masky filtrovania objektov slúžia na odfiltrovanie falošných poplachov konkrétneho typu objektu na základe jeho umiestnenia.",
+      "point_one": "{{count}}bod",
+      "point_few": "{{count}}body",
+      "point_other": "{{count}} bodov",
+      "clickDrawPolygon": "Kliknutím nakreslite polygón do obrázku.",
+      "objects": {
+        "title": "Objekty",
+        "desc": "Typ objektu, na ktorý sa táto maska objektu vzťahuje.",
+        "allObjectTypes": "Všetky typy objektov"
+      },
+      "toast": {
+        "success": {
+          "title": "{{polygonName}} bol uložený. Reštartujte Frigate pre aplikovanie zmien.",
+          "noName": "Maska Objektu bola uložená. Reštartujte Frigate pre aplikovanie zmien."
+        }
+      }
+    },
+    "motionMaskLabel": "Maska Detekcia pohybu {{number}}",
+    "objectMaskLabel": "Maska Objektu {{number}} {{label}}"
+  },
+  "motionDetectionTuner": {
+    "title": "Ladenie detekcie pohybu",
+    "unsavedChanges": "Neuložené zmeny ladenia detekcie pohybu {{camera}}",
+    "desc": {
+      "title": "Frigate používa detekciu pohybu ako prvú kontrolu na overenie, či sa v snímke deje niečo, čo stojí za ďalšiu analýzu pomocou detekcie objektov.",
+      "documentation": "Prečítajte si príručku Ladenie detekcie pohybu"
+    },
+    "Threshold": {
+      "title": "Prah",
+      "desc": "Prahová hodnota určuje, aká veľká zmena jasu pixelu je nutná, aby bol považovaný za pohyb. <em>Predvolené: 30</em>"
+    },
+    "contourArea": {
+      "title": "Obrysová Oblasť",
+      "desc": "Hodnota plochy obrysu sa používa na rozhodnutie, ktoré skupiny zmenených pixelov sa kvalifikujú ako pohyb. <em>Predvolené: 10</em>"
+    },
+    "improveContrast": {
+      "title": "Zlepšiť Kontrast",
+      "desc": "Zlepšiť kontrast pre tmavé scény <em>Predvolené: ON</em>"
+    },
+    "toast": {
+      "success": "Nastavenie detekcie pohybu bolo uložené."
+    }
+  },
+  "debug": {
+    "title": "Ladenie",
+    "detectorDesc": "Frigate používa vaše detektory {{detectors}} na detekciu objektov v streame vašich kamier.",
+    "desc": "Ladiace zobrazenie ukazuje sledované objekty a ich štatistiky v reálnom čase. Zoznam objektov zobrazuje časovo oneskorený prehľad detekovaných objektov.",
+    "openCameraWebUI": "Otvoriť webové rozhranie {{camera}}",
+    "debugging": "Ladenie",
+    "objectList": "Zoznam objektov",
+    "noObjects": "Žiadne objekty",
+    "audio": {
+      "title": "Zvuk",
+      "noAudioDetections": "Žiadne detekcia zvuku",
+      "score": "skóre",
+      "currentRMS": "Aktuálne RMS",
+      "currentdbFS": "Aktuálne dbFS"
+    },
+    "boundingBoxes": {
+      "title": "Ohraničujúce rámčeky",
+      "desc": "Zobraziť ohraničujúce rámčeky okolo sledovaných objektov",
+      "colors": {
+        "label": "Farby Ohraničujúcich Rámčekov Objektov",
+        "info": "<li>Pri spustení bude každému objektovému štítku priradená iná farba.</li><li>Tenká tmavo modrá čiara označuje, že objekt nie je v danom okamihu detekovaný.</li><li>Tenká šedá čiara znamená, že objekt je detekovaný ako nehybný.</li><li>Silná čiara je označovaná aktivované).</li>"
+      }
+    },
+    "timestamp": {
+      "title": "Časová pečiatka",
+      "desc": "Prekryť obrázok časovou pečiatkou"
+    },
+    "zones": {
+      "title": "Zóny",
+      "desc": "Zobraziť obrys všetkých definovaných zón"
+    },
+    "mask": {
+      "title": "Masky detekcie pohybu",
+      "desc": "Zobraziť polygóny masiek detekcie pohybu"
+    },
+    "motion": {
+      "title": "Rámčeky detekcie pohybu",
+      "desc": "Zobraziť rámčeky okolo oblastí, kde bol detekovaný pohyb",
+      "tips": "<p><strong>Boxy pohybu</strong></p><br><p>Červené boxy budú prekryté na miestach snímky, kde je práve detekovaný pohyb.</p>"
+    },
+    "regions": {
+      "title": "Regióny",
+      "desc": "Zobraziť rámček oblasti záujmu odoslaný do detektora objektov",
+      "tips": "<p><strong>Oblasti regiónov</strong></p><br><p>Jasnozelené políčka budú prekrývať oblasti záujmu v zábere, ktoré sa odosielajú do detektora objektov.</p>"
+    },
+    "paths": {
+      "title": "Cesty",
+      "desc": "Zobraziť významné body dráhy sledovaného objektu",
+      "tips": "<p><strong>Cesty</strong></p><br><p>Čiary a kruhy označujú významné body, ktorými sa sledovaný objekt počas svojho životného cyklu pohyboval.</p>"
+    },
+    "objectShapeFilterDrawing": {
+      "title": "Výkres filtra tvaru objektu",
+      "desc": "Nakreslite na obrázok obdĺžnik, aby ste zobrazili podrobnosti o ploche a pomere",
+      "tips": "Povolením tejto možnosti nakreslíte na obraze kamery obdĺžnik, ktorý zobrazuje jeho plochu a pomer strán. Tieto hodnoty sa potom dajú použiť na nastavenie parametrov filtra tvaru objektu vo vašej konfigurácii.",
+      "score": "Skóre",
+      "ratio": "Pomer",
+      "area": "Oblasť"
+    }
+  },
+  "cameraWizard": {
+    "title": "Pridať kameru",
+    "description": "Postupujte podľa pokynov nižšie a pridajte novú kameru na inštaláciu Frigate.",
+    "steps": {
+      "nameAndConnection": "Meno a pripojenie",
+      "streamConfiguration": "Konfigurácia prúdu",
+      "validationAndTesting": "Platnosť a testovanie",
+      "probeOrSnapshot": "Probe alebo Snapshot"
+    },
+    "save": {
+      "success": "Úspešne zachránil novú kameru {{cameraName}}.",
+      "failure": "Úspora chýb {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Rozlíšenie",
+      "video": "Video",
+      "audio": "Zvuk",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Uveďte platnú adresu streamu",
+      "testFailed": "Test Stream zlyhal: {{error}}"
+    },
+    "step1": {
+      "description": "Zadajte detaily kamery a vyskúšajte pripojenie.",
+      "cameraName": "Názov kamery",
+      "cameraNamePlaceholder": "e.g., front_door alebo Back Yard Prehľad",
+      "host": "Hostia / IP adresa",
+      "port": "Prístav",
+      "username": "Používateľské meno",
+      "usernamePlaceholder": "Voliteľné",
+      "password": "Heslo",
+      "passwordPlaceholder": "Voliteľné",
+      "selectTransport": "Vyberte dopravný protokol",
+      "cameraBrand": "Značka kamery",
+      "selectBrand": "Vyberte značku kamery pre URL šablónu",
+      "customUrl": "Vlastné Stream URL",
+      "brandInformation": "Informácie o značke",
+      "brandUrlFormat": "Pre kamery s formátom RTSP URL ako: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://username:password@host:port/path",
+      "testConnection": "Testovacie pripojenie",
+      "testSuccess": "Test pripojenia úspešný!",
+      "testFailed": "Test pripojenia zlyhal. Skontrolujte svoj vstup a skúste to znova.",
+      "streamDetails": "Detaily vysielania",
+      "warnings": {
+        "noSnapshot": "Nemožno načítať snímku z konfigurovaného vysielania."
+      },
+      "errors": {
+        "brandOrCustomUrlRequired": "Buď vyberte značku kamery s hostiteľom / IP alebo si vyberte \"Iný\" s vlastnou URL",
+        "nameRequired": "Názov kamery je povinný",
+        "nameLength": "Názov kamery musí byť 64 znakov alebo menej",
+        "invalidCharacters": "Názov kamery obsahuje neplatné znaky",
+        "nameExists": "Názov kamery už existuje",
+        "brands": {
+          "reolink-rtsp": "Reolink RTSP sa neodporúča. Odporúča sa povoliť HTTP v nastavení kamery a reštartovať sprievodca kamery."
+        },
+        "customUrlRtspRequired": "Vlastné URL musia začať s \"rtsp / \"\". Manuálna konfigurácia je potrebná pre non-RTSP kamerové prúdy."
+      },
+      "docs": {
+        "reolink": "https://docs.frigate.video/configuration/camera_specific.html#reolink-cameras"
+      },
+      "testing": {
+        "probingMetadata": "Skúmanie metadát kamery...",
+        "fetchingSnapshot": "Načítava sa snímka z kamery..."
+      },
+      "connectionSettings": "Nastavenie pripojenia",
+      "detectionMethod": "Stream Detekcia Metóda",
+      "onvifPort": "ONVIF Port",
+      "probeMode": "Probe kamera",
+      "manualMode": "Ručný výber",
+      "detectionMethodDescription": "Vyskúša cez ONVIF (ak je podporovaný) nájsť kamery streamové adresy, alebo ručne vyberte značku kamery a jej preddefinované URL. Ak chcete zadať vlastnú URL RTSP, vyberte manuálne zadanie a označte \"Ostatné\".",
+      "onvifPortDescription": "Pre kamery, ktoré podporujú ONVIF, to je zvyčajne 80 alebo 8080.",
+      "useDigestAuth": "Použite overenie súhrnu",
+      "useDigestAuthDescription": "Použite HTTP stráviteľné overenie pre ONVIF. Niektoré kamery môžu vyžadovať vyhradený ONVIF užívateľské meno/password namiesto štandardného správcu."
+    },
+    "step2": {
+      "description": "Vyhľadajte dostupné streamy z kamery alebo nakonfigurujte manuálne nastavenia na základe zvolenej metódy detekcie.",
+      "streamsTitle": "Kamerové prúdy",
+      "addStream": "Pridať Stream",
+      "addAnotherStream": "Pridať ďalší Stream",
+      "streamTitle": "Stream {{number}}",
+      "streamUrl": "Stream URL",
+      "streamUrlPlaceholder": "rtsp://username:password@host:port/path",
+      "url": "URL",
+      "resolution": "Rozlíšenie",
+      "selectResolution": "Vyberte rozlíšenie",
+      "quality": "Kvalita",
+      "selectQuality": "Vyberte kvalitu",
+      "roles": "Roly",
+      "roleLabels": {
+        "detect": "Detekcia objektov",
+        "record": "Nahrávanie",
+        "audio": "Zvuk"
+      },
+      "testStream": "Testovacie pripojenie",
+      "testSuccess": "Test pripojenia bol úspešný!",
+      "testFailed": "Test pripojenia zlyhal. Skontrolujte zadané údaje a skúste to znova.",
+      "testFailedTitle": "Test Zlyhal",
+      "connected": "Pripojené",
+      "notConnected": "Nie je pripojený",
+      "featuresTitle": "Vlastnosti",
+      "go2rtc": "Znížte počet pripojení ku kamere",
+      "detectRoleWarning": "Aspoň jeden prúd musí mať \"detekt\" úlohu pokračovať.",
+      "rolesPopover": {
+        "title": "Roly streamu",
+        "detect": "Hlavné krmivo pre detekciu objektu.",
+        "record": "Ukladá segmenty video kanála na základe nastavení konfigurácie.",
+        "audio": "Kŕmenie pre detekciu zvuku."
+      },
+      "featuresPopover": {
+        "title": "Funkcie streamu",
+        "description": "Použite prekrytie go2rtc na zníženie pripojenia k fotoaparátu."
+      },
+      "streamDetails": "Detaily vysielania",
+      "probing": "Skúmajúca kamera...",
+      "retry": "Skúste to znova",
+      "testing": {
+        "probingMetadata": "Skúmanie metadát kamery...",
+        "fetchingSnapshot": "Načítava sa snímka z fotoaparátu..."
+      },
+      "probeFailed": "Nepodarilo sa otestovať kameru: {{error}}",
+      "probingDevice": "Snímacie zariadenie...",
+      "probeSuccessful": "Sonda úspešná",
+      "probeError": "Chyba sondy",
+      "probeNoSuccess": "Sonda neúspešná",
+      "deviceInfo": "Informácie o zariadení",
+      "manufacturer": "Výrobca",
+      "model": "Model",
+      "firmware": "Firmvér",
+      "profiles": "Profily",
+      "ptzSupport": "PTZ Podpora",
+      "autotrackingSupport": "Podpora automatického sledovania",
+      "presets": "Prestavby",
+      "rtspCandidates": "RTSP kandidátov",
+      "rtspCandidatesDescription": "Z kamery boli nájdené nasledujúce adresy URL RTSP. Otestujte pripojenie a zobrazte metadáta streamu.",
+      "noRtspCandidates": "Z kamery sa nenašli žiadne URL adresy RTSP. Vaše prihlasovacie údaje môžu byť nesprávne alebo kamera nepodporuje protokol ONVIF alebo metódu použitú na získanie URL adries RTSP. Vráťte sa späť a zadajte URL adresu RTSP manuálne.",
+      "candidateStreamTitle": "Kandidát {{number}}",
+      "useCandidate": "Použitie",
+      "uriCopy": "Kopírovať",
+      "uriCopied": "URI skopírované do schránky",
+      "testConnection": "Testovacie pripojenie",
+      "toggleUriView": "Kliknutím prepnete zobrazenie celého URI",
+      "errors": {
+        "hostRequired": "Vyžaduje sa hostiteľská/IP adresa"
+      }
+    },
+    "step3": {
+      "connectStream": "Pripojiť",
+      "connectingStream": "Pripája",
+      "disconnectStream": "Odpojiť",
+      "estimatedBandwidth": "Odhadovaná šírka pásma",
+      "roles": "Roly",
+      "none": "Žiadny",
+      "error": "Chyba",
+      "streamValidated": "Stream {{number}} úspešne overený",
+      "streamValidationFailed": "Stream {{number}} validácia zlyhala",
+      "saveAndApply": "Uložiť novú kameru",
+      "saveError": "Neplatná konfigurácia. Skontrolujte nastavenia.",
+      "issues": {
+        "title": "Stream Platnosť",
+        "videoCodecGood": "Kód videa {{codec}}.",
+        "audioCodecGood": "Audio kódc je {{codec}}.",
+        "noAudioWarning": "Žiadne audio zistené pre tento prúd, nahrávanie nebude mať audio.",
+        "audioCodecRecordError": "AAC audio kodek je potrebný na podporu audio v záznamoch.",
+        "audioCodecRequired": "Zvukový prúd je povinný podporovať detekciu zvuku.",
+        "restreamingWarning": "Zníženie pripojenia ku kamery pre rekordný prúd môže mierne zvýšiť využitie CPU.",
+        "dahua": {
+          "substreamWarning": "Substream 1 je uzamknutý na nízke rozlíšenie. Mnoho Dahua / Amcrest / EmpireTech kamery podporujú ďalšie podstreamy, ktoré musia byť povolené v nastavení kamery. Odporúča sa skontrolovať a využiť tie prúdy, ak je k dispozícii."
+        },
+        "hikvision": {
+          "substreamWarning": "Substream 1 je uzamknutý na nízke rozlíšenie. Mnoho Hikvision kamery podporujú ďalšie podstreamy, ktoré musia byť povolené v nastavení kamery. Odporúča sa skontrolovať a využiť tie prúdy, ak je k dispozícii."
+        },
+        "resolutionHigh": "Rozlíšenie {{resolution}} môže spôsobiť zvýšenú spotrebu zdrojov.",
+        "resolutionLow": "Rozlíšenie {{resolution}} môže byť príliš nízka pre spoľahlivú detekciu malých objektov."
+      },
+      "description": "Nakonfigurujte role streamov a pridajte ďalšie streamy pre vašu kameru.",
+      "validationTitle": "Stream Platnosť",
+      "connectAllStreams": "Pripojte všetky prúdy",
+      "reconnectionSuccess": "Opätovné pripojenie bolo úspešné.",
+      "reconnectionPartial": "Niektoré prúdy sa nepodarilo prepojiť.",
+      "streamUnavailable": "Ukážka streamu nie je k dispozícii",
+      "reload": "Znovu načítať",
+      "connecting": "Pripája...",
+      "streamTitle": "Stream {{number}}",
+      "valid": "Platné",
+      "failed": "Zlyhanie",
+      "notTested": "Netestované",
+      "streamsTitle": "Kamerové prúdy",
+      "addStream": "Pridať Stream",
+      "addAnotherStream": "Pridať ďalší Stream",
+      "streamUrl": "Stream URL",
+      "streamUrlPlaceholder": "rtsp://username:password@host:port/path",
+      "selectStream": "Vyberte stream",
+      "searchCandidates": "Hľadať kandidátov...",
+      "noStreamFound": "Nenašiel sa žiadny stream",
+      "url": "URL",
+      "resolution": "Rozlíšenie",
+      "selectResolution": "Vyberte rozlíšenie",
+      "quality": "Kvalita",
+      "selectQuality": "Vyberte kvalitu",
+      "roleLabels": {
+        "detect": "Detekcia objektov",
+        "record": "Nahrávanie",
+        "audio": "Zvuk"
+      },
+      "testStream": "Testovanie pripojenia",
+      "testSuccess": "Stream test úspešné!",
+      "testFailed": "Stream test zlyhal",
+      "testFailedTitle": "Test Zlyhal",
+      "connected": "Pripojené",
+      "notConnected": "Nie je pripojený",
+      "featuresTitle": "Vlastnosti",
+      "go2rtc": "Znížte počet pripojení ku kamere",
+      "detectRoleWarning": "Aspoň jeden prúd musí mať \"detekt\" úlohu pokračovať.",
+      "rolesPopover": {
+        "title": "Roly streamu",
+        "detect": "Hlavné krmivo pre detekciu objektu.",
+        "record": "Ukladá segmenty video kanála na základe nastavení konfigurácie.",
+        "audio": "Kŕmenie pre detekciu zvuku."
+      },
+      "featuresPopover": {
+        "title": "Funkcie streamu",
+        "description": "Použite prekrytie go2rtc na zníženie pripojenia k fotoaparátu."
+      }
+    },
+    "step4": {
+      "description": "Záverečné overenie a analýza pred uložením nového fotoaparátu. Pripojte každý prúd pred uložením.",
+      "validationTitle": "Stream Platnosť",
+      "connectAllStreams": "Pripojte všetky prúdy",
+      "reconnectionSuccess": "Opätovné pripojenie bolo úspešné.",
+      "reconnectionPartial": "Niektoré prúdy sa nepodarilo prepojiť.",
+      "streamUnavailable": "Ukážka streamu nie je k dispozícii",
+      "reload": "Znovu načítať",
+      "connecting": "Pripája...",
+      "streamTitle": "Stream {{number}}",
+      "valid": "Platné",
+      "failed": "Zlyhanie",
+      "notTested": "Netestované",
+      "connectStream": "Pripojiť",
+      "connectingStream": "Pripája",
+      "disconnectStream": "Odpojiť",
+      "estimatedBandwidth": "Odhadovaná šírka pásma",
+      "roles": "Roly",
+      "ffmpegModule": "Použite režim kompatibility prúdu",
+      "ffmpegModuleDescription": "Ak sa stream nenačíta ani po niekoľkých pokusoch, skúste túto funkciu povoliť. Keď je táto funkcia povolená, Frigate použije modul ffmpeg s go2rtc. To môže poskytnúť lepšiu kompatibilitu s niektorými streammi z kamier.",
+      "none": "Žiadne",
+      "error": "Chyba",
+      "streamValidated": "Stream {{number}} úspešne overený",
+      "streamValidationFailed": "Stream {{number}} validácia zlyhala",
+      "saveAndApply": "Uložiť novú kameru",
+      "saveError": "Neplatná konfigurácia. Skontrolujte nastavenia.",
+      "issues": {
+        "title": "Platnosť Streamu",
+        "videoCodecGood": "Kód videa je {{codec}}.",
+        "audioCodecGood": "Audio kódc je {{codec}}.",
+        "resolutionHigh": "Rozlíšenie {{resolution}} môže spôsobiť zvýšenú spotrebu zdrojov.",
+        "resolutionLow": "Rozlíšenie {{resolution}} môže byť príliš nízka pre spoľahlivú detekciu malých objektov.",
+        "noAudioWarning": "Žiadne audio nebolo detekovane pre tento prúd, nahrávanie nebude mať audio.",
+        "audioCodecRecordError": "AAC audio kodek je potrebný na podporu audio v záznamoch.",
+        "audioCodecRequired": "Zvukový prúd je povinný podporovať detekciu zvuku.",
+        "restreamingWarning": "Zníženie pripojenia ku kamery pre rekordný prúd môže mierne zvýšiť využitie CPU.",
+        "brands": {
+          "reolink-rtsp": "Reolink RTSP sa neodporúča. Odporúča sa povoliť HTTP v nastavení kamery a reštartovať sprievodca kamery."
+        },
+        "dahua": {
+          "substreamWarning": "Čiastkový stream 1 je uzamknutý na nízke rozlíšenie. Mnoho kamier Dahua / Amcrest / EmpireTech podporuje ďalšie čiastkové streamy, ktoré je potrebné povoliť v nastaveniach kamery. Odporúča sa skontrolovať a využiť tieto streamy, ak sú k dispozícii."
+        },
+        "hikvision": {
+          "substreamWarning": "Čiastkový stream 1 je uzamknutý na nízke rozlíšenie. Mnoho kamier Hikvision podporuje ďalšie čiastkové streamy, ktoré je potrebné povoliť v nastaveniach kamery. Odporúča sa skontrolovať a využiť tieto streamy, ak sú k dispozícii."
+        }
+      }
+    }
+  },
+  "cameraManagement": {
+    "title": "Správa kamier",
+    "addCamera": "Pridať novu kameru",
+    "editCamera": "Upraviť kameru:",
+    "selectCamera": "Vyberte kameru",
+    "backToSettings": "Späť na nastavenia kamery",
+    "streams": {
+      "title": "Enable / Disable kamery",
+      "desc": "Dočasne deaktivujte kameru, kým sa Frigate nereštartuje. Deaktivácia kamery úplne zastaví spracovanie streamov z tejto kamery aplikáciou Frigate. Detekcia, nahrávanie a ladenie nebudú k dispozícii.<br /> <em>Poznámka: Toto nezakáže restreamy go2rtc.</em>"
+    },
+    "cameraConfig": {
+      "add": "Pridať kameru",
+      "edit": "Upraviť kameru",
+      "description": "Konfigurovať nastavenia kamery, vrátane vstupov streamu a rolí.",
+      "name": "Názov kamery",
+      "nameRequired": "Názov kamery je povinný",
+      "nameLength": "Názov kamery musí byť menšia ako 64 znakov.",
+      "namePlaceholder": "e.g., predne_dvere alebo Prehľad Záhrady",
+      "enabled": "Povoliť",
+      "ffmpeg": {
+        "inputs": "Vstupné streamy",
+        "path": "Cesta streamu",
+        "pathRequired": "Cesta k streamu je povinná",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "Roly",
+        "rolesRequired": "Je vyžadovaná aspoň jedna rola",
+        "rolesUnique": "Každá rola (audio, detekcia, záznam) môže byť priradená iba k jednému streamu",
+        "addInput": "Pridať vstupný stream",
+        "removeInput": "Odobrať vstupný stream",
+        "inputsRequired": "Je vyžadovaný aspoň jeden vstupný stream"
+      },
+      "go2rtcStreams": "go2rtc Streamy",
+      "streamUrls": "Stream URLs",
+      "addUrl": "Pridať URL",
+      "addGo2rtcStream": "Pridať go2rtc Stream",
+      "toast": {
+        "success": "Kamera {{cameraName}} bola úspešne uložená"
+      }
+    }
+  },
+  "cameraReview": {
+    "title": "Nastavenie recenzie kamery",
+    "object_descriptions": {
+      "title": "Generatívne popisy objektov umelej inteligencie",
+      "desc": "Dočasne umožňujú/disable Generovať opisy objektu AI pre tento fotoaparát. Keď je zakázané, AI vygenerované popisy nebudú požiadané o sledovanie objektov na tomto fotoaparáte."
+    },
+    "review_descriptions": {
+      "title": "Popisy generatívnej umelej inteligencie",
+      "desc": "Dočasne povoliť/disable Genive AI opisy pre tento fotoaparát. Keď je zakázané, AI vygenerované popisy nebudú požiadané o preskúmanie položiek na tomto fotoaparáte."
+    },
+    "review": {
+      "title": "Recenzia",
+      "desc": "Dočasne umožňujú/disable upozornenia a detekcia pre tento fotoaparát až do reštartu Frigate. Pri vypnutých, nebudú vygenerované žiadne nové položky preskúmania. ",
+      "alerts": "Upozornenia ",
+      "detections": "Detekcie "
+    },
+    "reviewClassification": {
+      "title": "Preskúmať klasifikáciu",
+      "desc": "Frigate kategorizuje položky recenzií ako Upozornenia a Detekcie. Predvolene sa všetky objekty typu <em>osoba</em> a <em>auto</em> považujú za Upozornenia. Kategorizáciu položiek recenzií môžete spresniť konfiguráciou požadovaných zón pre ne.",
+      "noDefinedZones": "Pre túto kameru nie sú definované žiadne zóny.",
+      "objectAlertsTips": "Všetky objekty {{alertsLabels}} na {{cameraName}} sa zobrazia ako Upozornenia.",
+      "zoneObjectAlertsTips": "Všetky objekty {{alertsLabels}} detekované v {{zone}} na {{cameraName}} budú zobrazené ako Upozornenia.",
+      "objectDetectionsTips": "Všetky objekty {{detectionsLabels}}, ktoré nie sú zaradené do kategórie {{cameraName}}, sa zobrazia ako detekcie bez ohľadu na to, v ktorej zóne sa nachádzajú.",
+      "zoneObjectDetectionsTips": {
+        "text": "Všetky objekty {{detectionsLabels}}, ktoré nie sú zaradené do kategórie {{zone}} na kamere {{cameraName}}, budú zobrazené ako detekcie.",
+        "notSelectDetections": "Všetky objekty typu {{detectionsLabels}} detekované v zóne {{zone}} na kamere {{cameraName}}, ktoré nie sú zaradené do kategórie Upozornenia, sa zobrazia ako Detekcie bez ohľadu na to, v ktorej zóne sa nachádzajú.",
+        "regardlessOfZoneObjectDetectionsTips": "Všetky objekty {{detectionsLabels}}, ktoré nie sú zaradené do kategórie {{cameraName}}, sa zobrazia ako detekcie bez ohľadu na to, v ktorej zóne sa nachádzajú."
+      },
+      "unsavedChanges": "Nezaradené Nastavenie hodnotenia pre {{camera}}",
+      "selectAlertsZones": "Vyberte zóny pre upozornenia",
+      "selectDetectionsZones": "Vyberte zóny pre detekcie",
+      "limitDetections": "Obmedziť detekciu na konkrétne zóny",
+      "toast": {
+        "success": "Konfigurácia klasifikácie bola uložená. Reštartujte Frigate, aby sa zmeny prejavili."
+      }
+    }
+  },
+  "users": {
+    "title": "Používatelia",
+    "management": {
+      "title": "Správa používateľov",
+      "desc": "Spravovať používateľské účty tejto inštancie Frigate."
+    },
+    "addUser": "Pridať používateľa",
+    "updatePassword": "Aktualizovať heslo",
+    "toast": {
+      "success": {
+        "createUser": "Užívateľ {{user}} úspešne vytvorený",
+        "deleteUser": "Užívateľ {{user}} úspešne odobraný",
+        "updatePassword": "Heslo úspešne aktualizované.",
+        "roleUpdated": "Aktualizovaná rola pre používateľa {{user}}"
+      },
+      "error": {
+        "setPasswordFailed": "Nepodarilo sa uložiť heslo: {{errorMessage}}",
+        "createUserFailed": "Nepodarilo sa vytvoriť používateľa: {{errorMessage}}",
+        "deleteUserFailed": "Nepodarilo sa odstrániť používateľa: {{errorMessage}}",
+        "roleUpdateFailed": "Nepodarilo sa aktualizovať rolu: {{errorMessage}}"
+      }
+    },
+    "table": {
+      "username": "Používateľské meno",
+      "actions": "Akcie",
+      "role": "Rola",
+      "noUsers": "Nenašli sa žiadni používatelia.",
+      "changeRole": "Zmeniť rolu používateľa",
+      "password": "Heslo",
+      "deleteUser": "Odstrániť používateľa"
+    },
+    "dialog": {
+      "form": {
+        "user": {
+          "title": "Používateľské meno",
+          "desc": "Povolené sú iba písmená, čísla, bodky a podčiarkovníky.",
+          "placeholder": "Zadajte používateľské meno"
+        },
+        "password": {
+          "title": "Heslo",
+          "placeholder": "Zadajte heslo",
+          "confirm": {
+            "title": "Potvrdiť heslo",
+            "placeholder": "Potvrdiť heslo"
+          },
+          "strength": {
+            "title": "Sila hesla: ",
+            "weak": "Slabý",
+            "medium": "Stredná",
+            "strong": "Silný",
+            "veryStrong": "Veľmi silný"
+          },
+          "match": "Heslá sa zhodujú",
+          "notMatch": "Heslá sa nezhodujú"
+        },
+        "newPassword": {
+          "title": "Nové heslo",
+          "placeholder": "Zadajte nové heslo",
+          "confirm": {
+            "placeholder": "Znovu zadajte nové heslo"
+          }
+        },
+        "usernameIsRequired": "Vyžaduje sa používateľské meno",
+        "passwordIsRequired": "Heslo je povinné"
+      },
+      "createUser": {
+        "title": "Vytvorenie nového užívateľa",
+        "desc": "Pridajte nový používateľský účet a zadajte rolu pre prístup k oblastiam používateľského rozhrania Frigate.",
+        "usernameOnlyInclude": "Používateľské meno môže obsahovať iba písmená, číslice, . alebo _",
+        "confirmPassword": "Potvrďte svoje heslo"
+      },
+      "deleteUser": {
+        "title": "Odstrániť užívateľa",
+        "desc": "Túto akciu nie je možné vrátiť späť. Týmto sa natrvalo odstráni používateľský účet a odstránia sa všetky súvisiace údaje.",
+        "warn": "Naozaj chcete odstrániť používateľa <strong>{{username}}<strong>?"
+      },
+      "passwordSetting": {
+        "cannotBeEmpty": "Heslo nemôže byť prázdne",
+        "doNotMatch": "Heslá sa nezhodujú",
+        "updatePassword": "Aktualizácia hesla pre {{username}}",
+        "setPassword": "Nastaviť heslo",
+        "desc": "Vytvorte si silné heslo na zabezpečenie tohto účtu."
+      },
+      "changeRole": {
+        "title": "Zmeniť rolu používateľa",
+        "select": "Vyberte rolu",
+        "desc": "Aktualizovať povolenia pre používateľa <strong>{{username}}<strong>",
+        "roleInfo": {
+          "intro": "Vyberte príslušnú rolu pre tohto používateľa:",
+          "admin": "Správca",
+          "adminDesc": "Úplný prístup ku všetkým funkciám.",
+          "viewer": "Divák",
+          "viewerDesc": "Obmedzené iba na živé dashboardy, funkcie Review, Explore a Exports.",
+          "customDesc": "Vlastná rola so špecifickým prístupom k kamere."
+        }
+      }
+    }
+  },
+  "roles": {
+    "management": {
+      "title": "Správa roly diváka",
+      "desc": "Spravujte vlastné roly divákov a ich povolenia na prístup ku kamere pre túto inštanciu Frigate."
+    },
+    "addRole": "Pridať rolu",
+    "table": {
+      "role": "Rola",
+      "cameras": "Kamery",
+      "actions": "Akcie",
+      "noRoles": "Neboli nájdené žiadne vlastné role.",
+      "editCameras": "Editovať kamery",
+      "deleteRole": "Odstrániť rolu"
+    },
+    "toast": {
+      "success": {
+        "createRole": "Rola {{role}} bola úspešne vytvorená",
+        "updateCameras": "Kamery aktualizované pre rolu {{role}}",
+        "deleteRole": "Rola {{role}} bola úspešne odstránená",
+        "userRolesUpdated_one": "",
+        "userRolesUpdated_few": "",
+        "userRolesUpdated_other": "{{count}} užívatelia priradené tejto úlohe boli aktualizované pre \"viewer\", ktorý má prístup ku všetkým kamerám."
+      },
+      "error": {
+        "createRoleFailed": "Nepodarilo sa vytvoriť rolu: {{errorMessage}}",
+        "updateCamerasFailed": "Nepodarilo sa aktualizovať kamery: {{errorMessage}}",
+        "deleteRoleFailed": "Nepodarilo sa odstrániť rolu: {{errorMessage}}",
+        "userUpdateFailed": "Nepodarilo sa aktualizovať používateľské role: {{errorMessage}}"
+      }
+    },
+    "dialog": {
+      "createRole": {
+        "title": "Vytvoriť novú rolu",
+        "desc": "Pridajte novú úlohu a zadajte prístup k kamerám."
+      },
+      "editCameras": {
+        "title": "Editovať Rolu Kamery",
+        "desc": "Aktualizujte prístup k kamere pre rolu <strong>{{role}}<strong>."
+      },
+      "deleteRole": {
+        "title": "Odstrániť rolu",
+        "desc": "Túto akciu nie je možné vrátiť späť. Týmto sa rola natrvalo odstráni a všetci používatelia s touto rolou budú priradení k role „pozerač“, ktorá umožní divákovi prístup ku všetkým kamerám.",
+        "warn": "Ste si istí, že chcete odstrániť <strong>{{role}}</strong>?",
+        "deleting": "Odstraňuje sa..."
+      },
+      "form": {
+        "role": {
+          "title": "Názov role",
+          "placeholder": "Zadajte názov roly",
+          "desc": "Povolené sú iba písmená, čísla, bodky a podčiarkovníky.",
+          "roleIsRequired": "Vyžaduje sa názov roly",
+          "roleOnlyInclude": "Názov role môže obsahovať iba písmená, čísla, . alebo _",
+          "roleExists": "Úloha s týmto menom už existuje."
+        },
+        "cameras": {
+          "title": "Kamery",
+          "desc": "Vyberte kamery, ku ktorým má táto rola prístup. Vyžaduje sa aspoň jedna kamera.",
+          "required": "Aspoň jedna kamera musí byť vybraná."
+        }
+      }
+    }
+  },
+  "notification": {
+    "title": "Notifikacie",
+    "notificationSettings": {
+      "title": "Nastavenia notifikácií",
+      "desc": "Frigate dokáže natívne odosielať push notifikácie do vášho zariadenia, keď je spustený v prehliadači alebo nainštalovaný ako PWA."
+    },
+    "notificationUnavailable": {
+      "title": "Notifikacie su nedostupné",
+      "desc": "Webové push notifikácie vyžadujú zabezpečený kontext (<code>https://…</code>). Ide o obmedzenie prehliadača. Ak chcete používať notifikácie, pristupujte k Frigate bezpečne."
+    },
+    "globalSettings": {
+      "title": "Globálne nastavenia",
+      "desc": "Dočasne pozastaviť upozornenia pre konkrétne kamery na všetkých registrovaných zariadeniach."
+    },
+    "email": {
+      "title": "E-mail",
+      "placeholder": "e.g. príklad@email.com",
+      "desc": "Vyžaduje sa platný e-mail, ktorý bude použitý na upozornenie v prípade akýchkoľvek problémov so službou push."
+    },
+    "cameras": {
+      "title": "Kamery",
+      "noCameras": "K dispozícii nie sú žiadne kamery",
+      "desc": "Vyberte, na ktoré kamery umožňujú notifikácie."
+    },
+    "deviceSpecific": "Špecifické nastavenia zariadenia",
+    "registerDevice": "Registrovať toto zariadenie",
+    "unregisterDevice": "Zrušte registráciu tohto zariadenia",
+    "sendTestNotification": "Odoslať testovacie oznámenie",
+    "unsavedRegistrations": "Neuložené registrácie oznámení",
+    "unsavedChanges": "Neuložené zmeny upozornení",
+    "active": "Upozornenia sú aktívne",
+    "suspended": "Oznámenie pozastavuju {{time}}",
+    "suspendTime": {
+      "suspend": "Pozastaviť",
+      "5minutes": "Pozastaviť na 5 minút",
+      "10minutes": "Pozastaviť na 10 minút",
+      "30minutes": "Pozastaviť na 30 minút",
+      "1hour": "Pozastaviť na 1 hodinu",
+      "12hours": "Pozastaviť na 12 hodín",
+      "24hours": "Pozastaviť na 24 hodín",
+      "untilRestart": "Pozastaviť do reštartovania"
+    },
+    "cancelSuspension": "Zrušiť pozastavenie",
+    "toast": {
+      "success": {
+        "registered": "Úspešne zaregistrované pre upozornenia. Pred odoslaním akýchkoľvek upozornení (vrátane testovacieho upozornenia) je potrebné reštartovať Frigate.",
+        "settingSaved": "Nastavenie oznámenia boli uložené."
+      },
+      "error": {
+        "registerFailed": "Uloženie registrácie upozornenia zlyhalo."
+      }
+    }
+  },
+  "frigatePlus": {
+    "title": "Nastavenie Frigate+",
+    "apiKey": {
+      "title": "Frigate + API kľúč",
+      "validated": "Frigate + API kľúč je detekovaný a overený",
+      "notValidated": "Frigate + API kľúč nie je detekovaný alebo nie je overený",
+      "desc": "Frigate+ API kľúč umožňuje integráciu s Frigate+ služby.",
+      "plusLink": "Prečítajte si viac o Frigate+"
+    },
+    "snapshotConfig": {
+      "title": "Konfigurácia snímky",
+      "desc": "Odosielanie do Frigate+ vyžaduje, aby boli v konfigurácii povolené snímky aj snímky <code>clean_copy</code>.",
+      "cleanCopyWarning": "Niektoré kamery majú povolené snímky, ale voľba <code>clean_copy</code> je zakázaná. Pre možnosť odosielania snímok z týchto kamier do služby Frigate+ je nutné túto voľbu povoliť v konfigurácii snímok.",
+      "table": {
+        "camera": "Kamera",
+        "snapshots": "Snímky",
+        "cleanCopySnapshots": "<code>clean_copy</code> Snímky"
+      }
+    },
+    "modelInfo": {
+      "title": "Informácie o Modele",
+      "modelType": "Typ Modelu",
+      "trainDate": "Dátum Tréningu",
+      "baseModel": "Základný Model",
+      "plusModelType": {
+        "baseModel": "Základný Model",
+        "userModel": "Doladené"
+      },
+      "supportedDetectors": "Podporované Detektory",
+      "cameras": "Kamery",
+      "loading": "Načítavam informácie o modeli…",
+      "error": "Chyba načítania informácií o modeli",
+      "availableModels": "Dostupné Moduly",
+      "loadingAvailableModels": "Načítavam dostupné modely…",
+      "modelSelect": "Tu môžete vybrať dostupné modely zo služby Frigate+. Upozorňujeme, že je možné zvoliť iba modely kompatibilné s aktuálnou konfiguráciou detektora."
+    },
+    "unsavedChanges": "Neuložené zmeny nastavenia Frigate+",
+    "restart_required": "Vyžadovaný reštart (model Frigate+ zmenený)",
+    "toast": {
+      "success": "Nastavenia Frigate+ boli uložené. Reštartujte Frigate+ pre aplikovanie zmien.",
+      "error": "Chyba pri ukladaní zmien konfigurácie: {{errorMessage}}"
+    }
+  },
+  "triggers": {
+    "documentTitle": "Spúšťače",
+    "semanticSearch": {
+      "title": "Sémantické vyhľadávanie je vypnuté",
+      "desc": "Na používanie spúšťačov musí byť povolené sémantické vyhľadávanie."
+    },
+    "management": {
+      "title": "Spúšťače",
+      "desc": "Správa spúšťa {{camera}}. Použite typ miniatúry, aby ste spustili na podobných miniatúr na vybraných tracked objekt, a typ popisu, aby ste spustili podobné popisy na text, ktorý určíte."
+    },
+    "addTrigger": "Pridať Spúšťač",
+    "table": {
+      "name": "Meno",
+      "type": "Typ",
+      "content": "Obsah",
+      "threshold": "Prah",
+      "actions": "Akcie",
+      "noTriggers": "Pre túto kameru nie sú nakonfigurované žiadne spúšťače.",
+      "edit": "Upraviť",
+      "deleteTrigger": "Odstrániť spúšťač",
+      "lastTriggered": "Naposledy spustené"
+    },
+    "type": {
+      "thumbnail": "Náhľad",
+      "description": "Popis"
+    },
+    "actions": {
+      "notification": "Poslať upozornenie",
+      "sub_label": "Pridať vedľajší štítok",
+      "attribute": "Pridať atribút"
+    },
+    "dialog": {
+      "createTrigger": {
+        "title": "Vytvoriť spúšťač",
+        "desc": "Vytvorte spúšť pre kameru {{camera}}"
+      },
+      "editTrigger": {
+        "title": "Upraviť spúšťač",
+        "desc": "Upraviť nastavenia spúšťača na kamere {{camera}}"
+      },
+      "deleteTrigger": {
+        "title": "Odstrániť spúšťač",
+        "desc": "Naozaj chcete odstrániť spúšťač <strong>{{triggerName}}</strong>? Túto akciu nie je možné vrátiť späť."
+      },
+      "form": {
+        "name": {
+          "title": "Meno",
+          "placeholder": "Zadajte meno pre spúšťača",
+          "description": "Zadajte jedinečné meno alebo popis na identifikáciu tohto spúšťania",
+          "error": {
+            "minLength": "Názov musí mať aspoň 2 znaky.",
+            "invalidCharacters": "Meno môže obsahovať iba písmená, číslice, podčiarkovníky a pomlčky.",
+            "alreadyExists": "Spúšťač s týmto názvom už pre túto kameru existuje."
+          }
+        },
+        "enabled": {
+          "description": "Povoliť alebo zakázať tento spúšťač"
+        },
+        "type": {
+          "title": "Typ",
+          "placeholder": "Vybrať typ spúšťača",
+          "description": "Spustiť, keď sa zistí podobný popis sledovaného objektu",
+          "thumbnail": "Spustiť, keď sa zistí podobná miniatúra sledovaného objektu"
+        },
+        "content": {
+          "title": "Obsah",
+          "imagePlaceholder": "Vyberte miniatúru",
+          "textPlaceholder": "Zadajte obsah textu",
+          "imageDesc": "Zobrazujú sa iba posledné 100 miniatúr. Ak nemôžete nájsť požadovanú miniatúru, prečítajte si skôr objekty v preskúmať a nastaviť spúšťací z ponuky tam.",
+          "textDesc": "Zadajte text, aby ste spustili túto akciu, keď je detekovaný podobný popis objektu.",
+          "error": {
+            "required": "Obsah je potrebný."
+          }
+        },
+        "threshold": {
+          "title": "Prah",
+          "desc": "Nastavte prah podobnosti pre tento spúšťač. Vyšší prah znamená, že na spustenie spúšťača je potrebná bližšia zhoda.",
+          "error": {
+            "min": "Threshold musí byť aspoň 0",
+            "max": "Threshold musí byť na väčšine 1"
+          }
+        },
+        "actions": {
+          "title": "Akcie",
+          "desc": "V predvolenom nastavení Frigate odosiela MQTT správu pre všetky spúšťače. Zvoľte dodatočnú akciu, ktorá sa má vykonať, keď sa tento spúšťač aktivuje.",
+          "error": {
+            "min": "Musí byť vybraná aspoň jedna akcia."
+          }
+        }
+      }
+    },
+    "wizard": {
+      "title": "Vytvoriť spúšťač",
+      "step1": {
+        "description": "Konfigurujte základné nastavenia pre vašu spúšť."
+      },
+      "step2": {
+        "description": "Nastavte obsah, ktorý spustí túto akciu."
+      },
+      "step3": {
+        "description": "Konfigurovať prah a akcie pre tento spúšťač."
+      },
+      "steps": {
+        "nameAndType": "Meno a typ",
+        "configureData": "Konfigurovať údaje",
+        "thresholdAndActions": "Prah a akcie"
+      }
+    },
+    "toast": {
+      "success": {
+        "createTrigger": "Spúšťač {{name}} bol úspešne vytvorený.",
+        "updateTrigger": "Spúšťač {{name}} bol úspešne aktualizovaný.",
+        "deleteTrigger": "Spúšťač {{name}} bol úspešne zmazaný."
+      },
+      "error": {
+        "createTriggerFailed": "Nepodarilo sa vytvoriť spúšťač: {{errorMessage}}",
+        "updateTriggerFailed": "Nepodarilo sa aktualizovať spúšťač: {{errorMessage}}",
+        "deleteTriggerFailed": "Nepodarilo sa zmazať spúšťač: {{errorMessage}}"
+      }
     }
   }
 }
diff --git a/web/public/locales/sk/views/system.json b/web/public/locales/sk/views/system.json
index 2ff91c9ee..94afc9111 100644
--- a/web/public/locales/sk/views/system.json
+++ b/web/public/locales/sk/views/system.json
@@ -76,7 +76,12 @@
         }
       },
       "npuUsage": "Použitie NPU",
-      "npuMemory": "Pamäť NPU"
+      "npuMemory": "Pamäť NPU",
+      "intelGpuWarning": {
+        "title": "Intel GPU Stats Upozornenie",
+        "message": "Štatistiky GPU nedostupné",
+        "description": "Toto je známa chyba v Štatistike správ Intel (intel_gpu_top) kde sa rozpadne a opakovane vráti používanie GPU 0% aj v prípadoch, keď hardvér detekcie objektov správne beží na (i)GPU. Toto nie je Frigate chyba. Môžete reštartovať a tak dočasne opraviť problém a potvrdiť, že GPU funguje správne. Toto nemá vplyv na výkon."
+      }
     },
     "otherProcesses": {
       "title": "Iné procesy",
@@ -138,7 +143,56 @@
       "capture": "zachytiť",
       "cameraFfmpeg": "{{camName}} FFmpeg",
       "cameraCapture": "zachytiť{{camName}}",
-      "cameraDetect": "Detekcia {{camName}}"
+      "cameraDetect": "Detekcia {{camName}}",
+      "overallFramesPerSecond": "celkový počet snímok za sekundu",
+      "overallDetectionsPerSecond": "celkový počet detekcií za sekundu",
+      "overallSkippedDetectionsPerSecond": "celkový počet vynechaných detekcií za sekundu",
+      "cameraFramesPerSecond": "{{camName}}snimky za sekundu",
+      "cameraDetectionsPerSecond": "{{camName}}detekcie za sekundu",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} vynechaných detekcií za sekundu"
+    },
+    "toast": {
+      "success": {
+        "copyToClipboard": "Dáta sondy boli skopírované do schránky."
+      },
+      "error": {
+        "unableToProbeCamera": "Nepodarilo sa overiť kameru: {{errorMessage}}"
+      }
     }
+  },
+  "lastRefreshed": "Naposledy obnovené: ",
+  "stats": {
+    "ffmpegHighCpuUsage": "{{camera}} má vysoké využitie CPU vo formáte FFmpeg ({{ffmpegAvg}}%)",
+    "detectHighCpuUsage": "{{camera}} má vysoké využitie CPU pri detekcii ({{detectAvg}}%)",
+    "healthy": "Systém je zdravý",
+    "reindexingEmbeddings": "Preindexovanie vložených prvkov (dokončené na {{processed}} %)",
+    "cameraIsOffline": "{{camera}} je offline",
+    "detectIsSlow": "{{detect}} je pomalý ({{speed}} ms)",
+    "detectIsVerySlow": "{{detect}} je veľmi pomalý ({{speed}} ms)",
+    "shmTooLow": "Alokácia /dev/shm ({{total}} MB) by sa mala zvýšiť aspoň na {{min}} MB."
+  },
+  "enrichments": {
+    "title": "Obohatenia",
+    "infPerSecond": "Inferencie za sekundu",
+    "embeddings": {
+      "image_embedding": "Vkladanie obrázkov",
+      "text_embedding": "Vkladanie textu",
+      "face_recognition": "Rozpoznávanie tváre",
+      "plate_recognition": "Rozpoznávanie ŠPZ",
+      "image_embedding_speed": "Rýchlosť vkladania obrázkov",
+      "face_embedding_speed": "Rýchlosť vkladania tváre",
+      "face_recognition_speed": "Rýchlosť rozpoznávania tváre",
+      "plate_recognition_speed": "Rýchlosť rozpoznávania ŠPZ",
+      "text_embedding_speed": "Rýchlosť vkladania textu",
+      "yolov9_plate_detection_speed": "YOLOv9 rýchlosť detekcie ŠPZ",
+      "yolov9_plate_detection": "YOLOv9 Detekcia ŠPZ",
+      "review_description": "Popis recenzie",
+      "review_description_speed": "Popis recenzie Rýchlosťi",
+      "review_description_events_per_second": "Popis",
+      "object_description": "Popis objektu",
+      "object_description_speed": "Popis objektu Rýchlosť",
+      "object_description_events_per_second": "Popis objektu"
+    },
+    "averageInf": "Priemerný čas inferencie"
   }
 }
diff --git a/web/public/locales/sl/common.json b/web/public/locales/sl/common.json
index 4468781f5..25bc0644e 100644
--- a/web/public/locales/sl/common.json
+++ b/web/public/locales/sl/common.json
@@ -51,7 +51,7 @@
     "h": "{{time}}h",
     "m": "{{time}}m",
     "s": "{{time}}s",
-    "yr": "le",
+    "yr": "{{time}}l.",
     "formattedTimestamp": {
       "12hour": "d MMM, h:mm:ss aaa",
       "24hour": "d MMM, HH:mm:ss"
@@ -84,7 +84,10 @@
     "formattedTimestampFilename": {
       "12hour": "dd-MM-yy-h-mm-ss-a",
       "24hour": "dd-MM-yy-HH-mm-ss"
-    }
+    },
+    "invalidStartTime": "Napačen čas začetka",
+    "invalidEndTime": "Napačen čas konca",
+    "inProgress": "V teku"
   },
   "menu": {
     "live": {
@@ -152,7 +155,13 @@
       "bg": "Български (bulgarščina)",
       "withSystem": {
         "label": "Uporabi sistemske nastavitve za jezik"
-      }
+      },
+      "ptBR": "Português brasileiro (Brazilska portugalščina)",
+      "ca": "Català (Katalonščina)",
+      "lt": "Lietuvių (Litovščina)",
+      "gl": "Galego (Galicijščina)",
+      "id": "Bahasa Indonesia (Indonezijščina)",
+      "ur": "اردو (Urdujščina)"
     },
     "appearance": "Izgled",
     "darkMode": {
@@ -179,7 +188,9 @@
       "anonymous": "anonimen",
       "logout": "Odjava",
       "setPassword": "Nastavi Geslo"
-    }
+    },
+    "uiPlayground": "UI Peskovnik",
+    "classification": "Klasifikacija"
   },
   "button": {
     "apply": "Uporabi",
@@ -216,7 +227,8 @@
     "unselect": "Odznači",
     "export": "Izvoz",
     "deleteNow": "Izbriši Zdaj",
-    "next": "Naprej"
+    "next": "Naprej",
+    "continue": "Nadaljuj"
   },
   "unit": {
     "speed": {
@@ -226,10 +238,23 @@
     "length": {
       "feet": "čevelj",
       "meters": "metri"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/uro",
+      "mbph": "MB/uro",
+      "gbph": "GB/uro"
     }
   },
   "label": {
-    "back": "Pojdi nazaj"
+    "back": "Pojdi nazaj",
+    "hide": "Skrij {{item}}",
+    "show": "Prikaži {{item}}",
+    "ID": "ID",
+    "none": "Brez",
+    "all": "Vse"
   },
   "pagination": {
     "next": {
@@ -270,5 +295,17 @@
     "title": "404",
     "desc": "Stran ni najdena"
   },
-  "readTheDocumentation": "Preberite dokumentacijo"
+  "readTheDocumentation": "Preberite dokumentacijo",
+  "list": {
+    "two": "{{0}} in {{1}}",
+    "many": "{{items}}, in {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "Izbirno",
+    "internalID": "Interni ID, ki ga Frigate uporablja v konfiguraciji in podatkovni bazi"
+  },
+  "information": {
+    "pixels": "{{area}}px"
+  }
 }
diff --git a/web/public/locales/sl/components/dialog.json b/web/public/locales/sl/components/dialog.json
index 46d1dfad8..f0284ee0f 100644
--- a/web/public/locales/sl/components/dialog.json
+++ b/web/public/locales/sl/components/dialog.json
@@ -32,7 +32,7 @@
   },
   "export": {
     "time": {
-      "lastHour_one": "Zadnja ura",
+      "lastHour_one": "Zadnja {{count}} ura",
       "lastHour_two": "Zadnji {{count}} uri",
       "lastHour_few": "Zadnje {{count}} ure",
       "lastHour_other": "Zadnjih {{count}} ur",
@@ -54,7 +54,7 @@
     "export": "Izvoz",
     "selectOrExport": "Izberi ali Izvozi",
     "toast": {
-      "success": "Izvoz se je uspešno začel. Datoteko si oglejte v mapi /exports.",
+      "success": "Izvoz se je uspešno začel. Datoteko si oglejte v izvozih.",
       "error": {
         "failed": "Npaka pri začetku izvoza: {{error}}",
         "endTimeMustAfterStartTime": "Končni čas mora biti po začetnem čase",
@@ -109,7 +109,8 @@
     "button": {
       "export": "Izvoz",
       "markAsReviewed": "Označi kot pregledano",
-      "deleteNow": "Izbriši Zdaj"
+      "deleteNow": "Izbriši Zdaj",
+      "markAsUnreviewed": "Označi kot nepregledano"
     }
   },
   "imagePicker": {
diff --git a/web/public/locales/sl/components/filter.json b/web/public/locales/sl/components/filter.json
index 1f4962b00..5a33b9709 100644
--- a/web/public/locales/sl/components/filter.json
+++ b/web/public/locales/sl/components/filter.json
@@ -129,6 +129,8 @@
     "loading": "Nalaganje prepoznanih registrskih tablic…",
     "placeholder": "Iskanje registrskih tablic…",
     "noLicensePlatesFound": "Nobena registrska tablica ni bila najdena.",
-    "selectPlatesFromList": "Na seznamu izberite eno ali več registrskih tablic."
+    "selectPlatesFromList": "Na seznamu izberite eno ali več registrskih tablic.",
+    "selectAll": "Izberi vse",
+    "clearAll": "Počisti vse"
   }
 }
diff --git a/web/public/locales/sl/views/classificationModel.json b/web/public/locales/sl/views/classificationModel.json
new file mode 100644
index 000000000..3ba3e676d
--- /dev/null
+++ b/web/public/locales/sl/views/classificationModel.json
@@ -0,0 +1,55 @@
+{
+  "description": {
+    "invalidName": "Neveljavno ime. Ime lahko vsebuje črke, števila, presledke, narekovaje, podčrtaje in pomišljaje."
+  },
+  "categories": "Razredi",
+  "createCategory": {
+    "new": "Naredi nov razred"
+  },
+  "button": {
+    "renameCategory": "Preimenuj razred",
+    "deleteCategory": "Zbriši razred",
+    "deleteImages": "Zbriši slike",
+    "trainModel": "Treniraj model",
+    "deleteClassificationAttempts": "Izbriši klasifikacijske slike"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Izbrisan razred",
+      "deletedImage": "Zbrisane slike",
+      "trainedModel": "Uspešno treniranje modela.",
+      "trainingModel": "Uspešen začetek treniranje modela."
+    },
+    "error": {
+      "deleteImageFailed": "Neuspešno brisanje: {{errorMessage}}",
+      "deleteCategoryFailed": "Neuspešno brisanje razreda: {{errorMessage}}",
+      "trainingFailed": "Neuspešen začetek treniranje modela: {{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "Zbriši razred"
+  },
+  "deleteTrainImages": {
+    "title": "Zbriši slike za treniranje",
+    "desc": "Ali ste prepričani, da želite izbrisati {{count}} slik? Tega dejanja ni mogoče razveljaviti."
+  },
+  "renameCategory": {
+    "title": "Preimenuj razred",
+    "desc": "Vnesite novo ime za {{name}}. Model bo treba znova naučiti, da bo sprememba imena začela veljati."
+  },
+  "train": {
+    "title": "Nedavne razvrstitve",
+    "aria": "Izberi nedavne razvrstitve"
+  },
+  "categorizeImageAs": "Razvrsti sliko kot:",
+  "categorizeImage": "Razvrsti sliko",
+  "noModels": {
+    "object": {
+      "title": "Ni modelov za razvrščanje objektov"
+    }
+  },
+  "documentTitle": "Klasifikacijski modeli - fregate",
+  "details": {
+    "scoreInfo": "Razultat predstavlja povprečno stopnjo sigurnosti čez vsa zaznavynja objekta."
+  }
+}
diff --git a/web/public/locales/sl/views/faceLibrary.json b/web/public/locales/sl/views/faceLibrary.json
index 9d5324759..c41520fa5 100644
--- a/web/public/locales/sl/views/faceLibrary.json
+++ b/web/public/locales/sl/views/faceLibrary.json
@@ -1,6 +1,6 @@
 {
   "description": {
-    "addFace": "Sprehodite se skozi dodajanje nove zbirke v knjižnico obrazov.",
+    "addFace": "Dodajanje nove zbirke v knjižnico obrazov z nalaganjem slike.",
     "placeholder": "Vnesite ime za to zbirko",
     "invalidName": "Neveljavno ime. Ime lahko vsebuje črke, števila, presledke, narekovaje, podčrtaje in pomišljaje."
   },
@@ -55,7 +55,8 @@
   "createFaceLibrary": {
     "title": "Ustvari Zbirko",
     "desc": "Ustvari novo zbirko",
-    "new": "Ustvari Nov Obraz"
+    "new": "Ustvari Nov Obraz",
+    "nextSteps": "Za vzpoztavitev trdnih osnov: <li>V zavihku Nedavne prepoznave izberi in uporabi slike za učenje vsake zaznane osebe.</li><li>Za najboljše rezultate se osredotoči na slike, kjer je obraz obrnjen naravnost; izogibaj se slikam, na katerih so obrazi posneti pod kotom.</li>"
   },
   "steps": {
     "faceName": "Vnesi Ime Obraza",
@@ -66,8 +67,8 @@
     }
   },
   "train": {
-    "title": "Vlak",
-    "aria": "Izberite treniranje",
+    "title": "Nedavne prepoznave",
+    "aria": "Izberite nedavne prepoznave",
     "empty": "Ni nedavnih poskusov prepoznavanja obrazov"
   },
   "selectItem": "Izberi {{item}}",
@@ -93,7 +94,7 @@
       "selectImage": "Izberite slikovno datoteko."
     },
     "dropActive": "Sliko spustite tukaj…",
-    "dropInstructions": "Povlecite in spustite sliko sem ali kliknite za izbiro",
+    "dropInstructions": "Povlecite in spustite ali prilepite sliko sem ali kliknite za izbiro",
     "maxSize": "Največja velikost: {{size}}MB"
   },
   "nofaces": "Noben obraz ni na voljo",
diff --git a/web/public/locales/sl/views/settings.json b/web/public/locales/sl/views/settings.json
index 14bdefc28..d8eff4e12 100644
--- a/web/public/locales/sl/views/settings.json
+++ b/web/public/locales/sl/views/settings.json
@@ -9,7 +9,9 @@
     "general": "Splošne Nastavitve - Frigate",
     "frigatePlus": "Frigate+ Nastavitve - Frigate",
     "enrichments": "Nastavitve Obogatitev - Frigate",
-    "motionTuner": "Nastavitev gibanja - Frigate"
+    "motionTuner": "Nastavitev gibanja - Frigate",
+    "cameraManagement": "Upravljaj kamere - Frigate",
+    "cameraReview": "Nastavitve pregleda kamer – Frigate"
   },
   "menu": {
     "ui": "Uporabniški vmesnik",
@@ -21,7 +23,10 @@
     "notifications": "Obvestila",
     "frigateplus": "Frigate+",
     "motionTuner": "Nastavitev Gibanja",
-    "triggers": "Prožilniki"
+    "triggers": "Prožilniki",
+    "cameraManagement": "Upravljanje",
+    "cameraReview": "Pregled",
+    "roles": "Vloge"
   },
   "masksAndZones": {
     "zones": {
@@ -86,7 +91,7 @@
     "calendar": {
       "title": "Koledar",
       "firstWeekday": {
-        "label": "Prvi Delovni Dan",
+        "label": "Prvi dan v tednu",
         "desc": "Dan, na katerega se začnejo tedni v koledarju za preglede.",
         "sunday": "Nedelja",
         "monday": "Ponedeljek"
@@ -203,5 +208,130 @@
       "nameInvalid": "Ime kamere mora vsebovati samo črke, številke, podčrtaje ali vezaje",
       "namePlaceholder": "npr. vhodna_vrata"
     }
+  },
+  "cameraWizard": {
+    "title": "Dodaj kamero",
+    "description": "Sledi spodnjim korakom, da dodaš novo kamero v svojo namestitev Frigate.",
+    "steps": {
+      "nameAndConnection": "Ime & Zbirka",
+      "streamConfiguration": "Konfiguracija pretoka",
+      "validationAndTesting": "Uverjanje in testiranje"
+    },
+    "save": {
+      "success": "Kamera {{cameraName}} je bila uspešno shranjena.",
+      "failure": "Napaka pri shranjevanju {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Resolucija",
+      "video": "Video",
+      "audio": "Zvok",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Prosimo, vnesite veljaven URL pretoka",
+      "testFailed": "Preizkus pretoka ni uspel: {{error}}"
+    },
+    "step1": {
+      "description": "Vnesite podatke vaše kamere in preizkusite povezavo.",
+      "cameraName": "Ime kamere",
+      "cameraNamePlaceholder": "npr. sprednja_vrata ali Pregled zadnjega dvorišča",
+      "host": "Gostitelj/IP naslov",
+      "port": "Vrata",
+      "username": "Uporabniško ime",
+      "usernamePlaceholder": "Opcijsko",
+      "password": "Geslo",
+      "passwordPlaceholder": "Opcijsko",
+      "selectTransport": "Izberi transportni protokol",
+      "cameraBrand": "Znamka kamere",
+      "selectBrand": "Izberi znamko kamere za predlogo URL-ja",
+      "customUrl": "Po meri URL za pretok",
+      "brandInformation": "Informacije o znamki",
+      "brandUrlFormat": "Za kamere z obliko URL-ja RTSP: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://uporabniškoime:geslo@gostitelj:vrata/pot",
+      "testConnection": "Preveri povezavo",
+      "testSuccess": "Test povezave uspešen!",
+      "testFailed": "Test povezave neuspešen. Prosim preveri vnos in poskusi še enkrat.",
+      "streamDetails": "Podrobnosti pretoka",
+      "testing": {
+        "probingMetadata": "Preiskovanje metapodatkov kamere...",
+        "fetchingSnapshot": "Pridobivanje posnetka kamere..."
+      },
+      "warnings": {
+        "noSnapshot": "Ni mogoče pridobiti posnetka iz nastavljenega pretoka."
+      },
+      "errors": {
+        "nameLength": "Ime kamere mora biti 64 znakov ali manj",
+        "invalidCharacters": "Ime kamere vsebuje neveljavne znake",
+        "nameExists": "Ime kamere že obstaja",
+        "customUrlRtspRequired": "URL-ji po meri se morajo začeti z \"rtsp://\". Za ne-RTSP pretoke kamer je potrebna ročna nastavitev.",
+        "brands": {
+          "reolink-rtsp": "RTSP za Reolink ni priporočen. \nV nastavitvah kamere omogočite HTTP in znova zaženite čarovnika."
+        }
+      }
+    },
+    "step2": {
+      "streamUrlPlaceholder": "rtsp://uporabniskoime:geslo@gostitelj:vrata/pot",
+      "url": "URL",
+      "resolution": "Resolucija",
+      "selectResolution": "Izberi resolucijo",
+      "quality": "Kvaliteta",
+      "selectQuality": "Izberi kvaliteto",
+      "roles": "Vloge",
+      "roleLabels": {
+        "detect": "Prepoznavanje objektov",
+        "record": "Snemanje",
+        "audio": "Zvok"
+      },
+      "testStream": "Preveri povezavo",
+      "testSuccess": "Test pretoka uspešen!",
+      "testFailed": "Test pretoka spodletel",
+      "testFailedTitle": "Test spodletel",
+      "connected": "Povezan",
+      "notConnected": "Ni povezave",
+      "featuresTitle": "Funkcije",
+      "go2rtc": "Zmanjšaj povezave na kamero",
+      "detectRoleWarning": "Vsaj en pretok mora imeti vlogo »zaznavanje«, da lahko nadaljuješ.",
+      "rolesPopover": {
+        "title": "Vloge pretoka",
+        "detect": "Glavni vir za zaznavanje objektov.",
+        "record": "Shranjuje odseke video posnetka glede na nastavitve konfiguracije.",
+        "audio": "Vir za zaznavanje na podlagi zvoka."
+      },
+      "featuresPopover": {
+        "title": "Značilnosti pretoka",
+        "description": "Uporabi ponovno pretakanje go2rtc, da zmanjšaš število povezav s kamero."
+      }
+    },
+    "step3": {
+      "description": "Končno preverjanje in analiza pred shranjevanjem nove kamere. Poveži vsak pretok, preden shranjuješ.",
+      "validationTitle": "Preverjanje pretoka",
+      "connectAllStreams": "Poveži vse pretoke",
+      "reconnectionSuccess": "Ponovna povezava uspešna.",
+      "reconnectionPartial": "Nekateri pretoki se niso ponovno povezali.",
+      "streamUnavailable": "Predogled pretoka ni na voljo",
+      "reload": "Ponovno naloži",
+      "connecting": "Povezujem...",
+      "streamTitle": "Pretok {{number}}",
+      "valid": "Veljaven",
+      "failed": "Spodletel",
+      "notTested": "Ni testiran",
+      "connectStream": "Poveži",
+      "connectingStream": "Povezujem",
+      "disconnectStream": "Prekini povezavo",
+      "estimatedBandwidth": "Predvidena pasovna širina",
+      "roles": "Vloge",
+      "none": "Noben",
+      "error": "Napaka",
+      "streamValidated": "Pretok {{number}} uspešno preverjen",
+      "streamValidationFailed": "Preverjanje pretoka {{number}} spodletelo",
+      "saveAndApply": "Shrani novo kamero",
+      "saveError": "Neveljavna konfiguracija. Prosimo preverite vaše nastavitve.",
+      "issues": {
+        "title": "Preverjanje pretoka",
+        "videoCodecGood": "Video kodek je {{codec}}.",
+        "audioCodecGood": "Audio kodek je {{codec}}.",
+        "resolutionHigh": "Resolucija {{resolution}} lahko povzroči povečano porabo virov."
+      }
+    }
   }
 }
diff --git a/web/public/locales/sr/views/classificationModel.json b/web/public/locales/sr/views/classificationModel.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/sr/views/classificationModel.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/sv/audio.json b/web/public/locales/sv/audio.json
index 6918ff2df..2de942a50 100644
--- a/web/public/locales/sv/audio.json
+++ b/web/public/locales/sv/audio.json
@@ -425,5 +425,79 @@
   "television": "Tv",
   "radio": "Radio",
   "field_recording": "Fältinspelning",
-  "scream": "Skrika"
+  "scream": "Skrika",
+  "sodeling": "Södling",
+  "chird": "Ackord",
+  "change_ringing": "Ljud från myntväxling",
+  "shofar": "Shofar",
+  "liquid": "Flytande",
+  "splash": "Stänk",
+  "slosh": "Plaska",
+  "squish": "Stryk",
+  "drip": "Dropp",
+  "pour": "Hälla",
+  "trickle": "Sippra",
+  "gush": "Välla",
+  "fill": "Fylla",
+  "spray": "Sprej",
+  "pump": "Pump",
+  "stir": "Rör",
+  "boiling": "Kokande",
+  "sonar": "Ekolod",
+  "arrow": "Pil",
+  "whoosh": "Svischande",
+  "thump": "Dunk",
+  "thunk": "Dunkande",
+  "electronic_tuner": "Elektronisk stämapparat",
+  "effects_unit": "Effektenhet",
+  "chorus_effect": "Chorus-effekt",
+  "basketball_bounce": "Basketbollstuds",
+  "bang": "Smäll",
+  "slap": "Slag",
+  "whack": "Slog",
+  "smash": "Smälla",
+  "breaking": "Brytning",
+  "bouncing": "Studsande",
+  "whip": "Piska",
+  "flap": "Flaxa",
+  "scratch": "Repa",
+  "scrape": "Skrapa",
+  "rub": "Gnugga",
+  "roll": "Rulla",
+  "crushing": "Krossa",
+  "crumpling": "Skrynkliga",
+  "tearing": "Rivning",
+  "beep": "Pip",
+  "ping": "Ping",
+  "ding": "Ding",
+  "clang": "Klang",
+  "squeal": "Skrika",
+  "creak": "Knarr",
+  "rustle": "Prassel",
+  "whir": "Surra",
+  "clatter": "Slammer",
+  "sizzle": "Fräsa vid matlagning",
+  "clicking": "Klickande",
+  "clickety_clack": "Klickigt klack",
+  "rumble": "Mullrande",
+  "plop": "Plopp",
+  "hum": "Brum",
+  "zing": "Vinande",
+  "boing": "Pling",
+  "crunch": "Knastrande",
+  "sine_wave": "Sinusvåg",
+  "harmonic": "Harmonisk",
+  "chirp_tone": "Kvittringston",
+  "pulse": "Puls",
+  "inside": "Inuti",
+  "outside": "Utanför",
+  "reverberation": "Eko",
+  "echo": "Eko",
+  "noise": "Buller",
+  "mains_hum": "Huvudbrum",
+  "distortion": "Distorsion",
+  "sidetone": "Sidoton",
+  "cacophony": "Kakofoni",
+  "throbbing": "Bultande",
+  "vibration": "Vibration"
 }
diff --git a/web/public/locales/sv/common.json b/web/public/locales/sv/common.json
index 8a783d6f8..6c9143c9d 100644
--- a/web/public/locales/sv/common.json
+++ b/web/public/locales/sv/common.json
@@ -16,10 +16,10 @@
     "pm": "pm",
     "am": "am",
     "yr": "{{time}}år",
-    "mo": "{{time}} mån",
+    "mo": "{{time}}må",
     "month_one": "{{time}} månad",
     "month_other": "{{time}} månader",
-    "d": "{{time}}dag",
+    "d": "{{time}}d",
     "last7": "Senaste 7 dagarna",
     "5minutes": "5 minuter",
     "last30": "Senaste 30 dagarna",
@@ -35,13 +35,13 @@
       "12hour": "d MMM, yyyy",
       "24hour": "d MMM, yyy"
     },
-    "h": "{{time}} h",
+    "h": "{{time}}t",
     "hour_one": "{{time}} timme",
     "hour_other": "{{time}} timmar",
-    "m": "{{time}} m",
+    "m": "{{time}}m",
     "minute_one": "{{time}} minut",
     "minute_other": "{{time}} minuter",
-    "s": "{{time}} s",
+    "s": "{{time}}s",
     "formattedTimestamp": {
       "12hour": "d MMM, kl. h:mm:ss a",
       "24hour": "d MMM, HH:mm:ss"
@@ -72,7 +72,10 @@
       "24hour": "dd-MM-yy-HH-mm-ss"
     },
     "day_one": "{{time}} dag",
-    "day_other": "{{time}} dagar"
+    "day_other": "{{time}} dagar",
+    "inProgress": "Pågår",
+    "invalidStartTime": "Ogiltig starttid",
+    "invalidEndTime": "Ogiltig sluttid"
   },
   "button": {
     "save": "Spara",
@@ -104,12 +107,13 @@
     "cameraAudio": "Kameraljud",
     "on": "PÅ",
     "off": "AV",
-    "delete": "Släng",
+    "delete": "Radera",
     "yes": "Ja",
     "no": "Nej",
     "download": "Ladda ner",
     "info": "Info",
-    "export": "Exportera"
+    "export": "Exportera",
+    "continue": "Fortsätta"
   },
   "menu": {
     "language": {
@@ -209,7 +213,8 @@
     "languages": "Språk",
     "configurationEditor": "Konfigurationsredigerare",
     "withSystem": "System",
-    "appearance": "Utseende"
+    "appearance": "Utseende",
+    "classification": "Klassificering"
   },
   "pagination": {
     "next": {
@@ -250,7 +255,13 @@
     "copyUrlToClipboard": "Webbadressen har kopierats till urklipp."
   },
   "label": {
-    "back": "Gå tillbaka"
+    "back": "Gå tillbaka",
+    "hide": "Dölj {{item}}",
+    "show": "Visa {{item}}",
+    "ID": "ID",
+    "none": "Ingen",
+    "all": "Alla",
+    "other": "Annat"
   },
   "unit": {
     "speed": {
@@ -260,8 +271,28 @@
     "length": {
       "feet": "fot",
       "meters": "meter"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/timme",
+      "mbph": "MB/timme",
+      "gbph": "GB/timme"
     }
   },
   "selectItem": "Välj {{item}}",
-  "readTheDocumentation": "Läs dokumentationen"
+  "readTheDocumentation": "Läs dokumentationen",
+  "information": {
+    "pixels": "{{area}}px"
+  },
+  "list": {
+    "two": "{{0}} och {{1}}",
+    "many": "{{items}} och {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "Valfritt",
+    "internalID": "Det interna ID som Frigate använder i konfigurationen och databasen"
+  }
 }
diff --git a/web/public/locales/sv/components/auth.json b/web/public/locales/sv/components/auth.json
index 8581ffe94..1fcf9092c 100644
--- a/web/public/locales/sv/components/auth.json
+++ b/web/public/locales/sv/components/auth.json
@@ -10,6 +10,7 @@
       "unknownError": "Okänt fel. Kontrollera loggarna.",
       "webUnknownError": "Okänt fel. Kontrollera konsol loggarna.",
       "rateLimit": "Överskriden anropsgräns. Försök igen senare."
-    }
+    },
+    "firstTimeLogin": "Försöker du logga in för första gången? Inloggningsuppgifterna finns angivna i Frigate-loggarna."
   }
 }
diff --git a/web/public/locales/sv/components/dialog.json b/web/public/locales/sv/components/dialog.json
index e41779b17..2ef0e8814 100644
--- a/web/public/locales/sv/components/dialog.json
+++ b/web/public/locales/sv/components/dialog.json
@@ -34,7 +34,7 @@
     "time": {
       "fromTimeline": "Välj från tidslinjen",
       "lastHour_one": "Sista timma",
-      "lastHour_other": "Sista t {{count}} Timmarna",
+      "lastHour_other": "Sista {{count}} timmar",
       "start": {
         "title": "Start Tid",
         "label": "Välj Start Tid"
@@ -52,12 +52,13 @@
     "export": "Eksport",
     "selectOrExport": "Välj eller exportera",
     "toast": {
-      "success": "Exporten har startats. Visa filen i mappen /exports.",
+      "success": "Exporten har startats. Visa filen på exportsidan.",
       "error": {
         "failed": "Misslyckades med att starta exporten: {{error}}",
         "endTimeMustAfterStartTime": "Sluttiden måste vara efter starttiden",
         "noVaildTimeSelected": "Inget giltigt tidsintervall valt"
-      }
+      },
+      "view": "Visa"
     },
     "fromTimeline": {
       "saveExport": "Spara export",
@@ -107,7 +108,8 @@
     "button": {
       "export": "Exportera",
       "markAsReviewed": "Markera som granskad",
-      "deleteNow": "Ta bort nu"
+      "deleteNow": "Ta bort nu",
+      "markAsUnreviewed": "Markera som ogranskad"
     }
   },
   "imagePicker": {
@@ -115,6 +117,7 @@
     "search": {
       "placeholder": "Sök efter etikett eller underetikett..."
     },
-    "noImages": "Inga miniatyrbilder hittades för den här kameran"
+    "noImages": "Inga miniatyrbilder hittades för den här kameran",
+    "unknownLabel": "Sparad triggerbild"
   }
 }
diff --git a/web/public/locales/sv/components/filter.json b/web/public/locales/sv/components/filter.json
index 90eda7c5a..efb50d919 100644
--- a/web/public/locales/sv/components/filter.json
+++ b/web/public/locales/sv/components/filter.json
@@ -133,5 +133,9 @@
   },
   "zoneMask": {
     "filterBy": "Filtrera på zonmaskering"
+  },
+  "attributes": {
+    "label": "Klassificeringsattribut",
+    "all": "Alla attribut"
   }
 }
diff --git a/web/public/locales/sv/components/player.json b/web/public/locales/sv/components/player.json
index 24f1b1e96..7c6301ca1 100644
--- a/web/public/locales/sv/components/player.json
+++ b/web/public/locales/sv/components/player.json
@@ -1,5 +1,5 @@
 {
-  "noPreviewFound": "Ingen Förhandsvisning Hittad",
+  "noPreviewFound": "Ingen förhandsvisning hittad",
   "noRecordingsFoundForThisTime": "Inga inspelningar hittade för denna tid",
   "noPreviewFoundFor": "Ingen förhandsvisning hittad för {{cameraName}}",
   "submitFrigatePlus": {
diff --git a/web/public/locales/sv/objects.json b/web/public/locales/sv/objects.json
index 9a17a137c..1e2926ff3 100644
--- a/web/public/locales/sv/objects.json
+++ b/web/public/locales/sv/objects.json
@@ -112,7 +112,7 @@
   "oven": "Ugn",
   "blender": "Blandare",
   "book": "Bok",
-  "waste_bin": "Papperskorg",
+  "waste_bin": "Soptunna",
   "license_plate": "Nummerplåt",
   "toothbrush": "Tandborste",
   "ups": "UPS",
diff --git a/web/public/locales/sv/views/classificationModel.json b/web/public/locales/sv/views/classificationModel.json
new file mode 100644
index 000000000..5b5c5b77f
--- /dev/null
+++ b/web/public/locales/sv/views/classificationModel.json
@@ -0,0 +1,188 @@
+{
+  "documentTitle": "Klassificeringsmodeller - Frigate",
+  "button": {
+    "deleteClassificationAttempts": "Ta bort klassificeringsbilder",
+    "renameCategory": "Byt namn på klass",
+    "deleteCategory": "Ta bort klass",
+    "deleteImages": "Ta bort bilder",
+    "trainModel": "Träna modellen",
+    "addClassification": "Lägg till klassificering",
+    "deleteModels": "Ta bort modeller",
+    "editModel": "Redigera modell"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Borttagen klass",
+      "deletedImage": "Raderade bilder",
+      "categorizedImage": "Lyckades klassificera bilden",
+      "trainedModel": "Modellen har tränats.",
+      "trainingModel": "Modellträning har startat.",
+      "deletedModel_one": "{{count}} modell har raderats",
+      "deletedModel_other": "{{count}} modeller har raderats",
+      "updatedModel": "Uppdaterade modellkonfiguration",
+      "renamedCategory": "Klassen har bytt namn till {{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "Misslyckades med att ta bort: {{errorMessage}}",
+      "deleteCategoryFailed": "Misslyckades med att ta bort klassen: {{errorMessage}}",
+      "categorizeFailed": "Misslyckades med att kategorisera bilden: {{errorMessage}}",
+      "trainingFailed": "Modellträningen misslyckades. Kontrollera Frigate loggarna för mer information.",
+      "deleteModelFailed": "Misslyckades med att ta bort modellen: {{errorMessage}}",
+      "updateModelFailed": "Misslyckades med att uppdatera modell: {{errorMessage}}",
+      "trainingFailedToStart": "Misslyckades med att starta modellträning: {{errorMessage}}",
+      "renameCategoryFailed": "Misslyckades med att byta namn på klassen: {{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "Ta bort klass",
+    "desc": "Är du säker på att du vill ta bort klassen {{name}}? Detta kommer att ta bort alla associerade bilder permanent och kräva att modellen tränas om.",
+    "minClassesTitle": "Kan inte ta bort klassen",
+    "minClassesDesc": "En klassificeringsmodell måste ha minst två klasser. Lägg till ytterligare en klass innan du tar bort den här."
+  },
+  "deleteDatasetImages": {
+    "title": "Ta bort datamängdsbilder",
+    "desc_one": "Är du säker på att du vill ta bort {{count}} bild från {{dataset}}? Den här åtgärden kan inte ångras och kräver att modellen tränas om.",
+    "desc_other": "Är du säker på att du vill ta bort {{count}} bilder från {{dataset}}? Den här åtgärden kan inte ångras och kräver att modellen tränas om."
+  },
+  "deleteTrainImages": {
+    "title": "Ta bort tränade bilder",
+    "desc_one": "Är du säker på att du vill ta bort {{count}} bild? Den här åtgärden kan inte ångras.",
+    "desc_other": "Är du säker på att du vill ta bort {{count}} bilder? Den här åtgärden kan inte ångras."
+  },
+  "renameCategory": {
+    "title": "Byt namn på klass",
+    "desc": "Ange ett nytt namn för {{name}}. Du måste träna om modellen för att namnändringen ska träda i kraft."
+  },
+  "description": {
+    "invalidName": "Ogiltigt namn. Namn får endast innehålla bokstäver, siffror, mellanslag, apostrofer, understreck och bindestreck."
+  },
+  "train": {
+    "title": "Nyligen tillagd klassificeringar",
+    "aria": "Välj senaste klassificeringar",
+    "titleShort": "Ny"
+  },
+  "categories": "Klasser",
+  "createCategory": {
+    "new": "Skapa ny klass"
+  },
+  "categorizeImageAs": "Klassificera bilden som:",
+  "categorizeImage": "Klassificera bild",
+  "noModels": {
+    "object": {
+      "title": "Inga objektklassificeringsmodeller",
+      "description": "Skapa en anpassad modell för att klassificera detekterade objekt.",
+      "buttonText": "Skapa objektmodell"
+    },
+    "state": {
+      "title": "Inga tillstånd klassificeringsmodeller",
+      "description": "Skapa en anpassad modell för att övervaka och klassificera tillståndsförändringar i specifika kameraområden.",
+      "buttonText": "Skapa en tillståndsmodell"
+    }
+  },
+  "wizard": {
+    "title": "Skapa ny klassificering",
+    "steps": {
+      "nameAndDefine": "Namnge och definiera",
+      "stateArea": "Stat område",
+      "chooseExamples": "Välj exempel"
+    },
+    "step1": {
+      "description": "Tillståndsmodeller övervakar fasta kameraområden för förändringar (t.ex. dörr öppen/stängd). Objektmodeller lägger till klassificeringar till detekterade objekt (t.ex. kända djur, leveranspersoner etc.).",
+      "name": "Namn",
+      "namePlaceholder": "Ange modellnamn...",
+      "type": "Typ",
+      "typeState": "Tillståndet",
+      "typeObject": "Objekt",
+      "objectLabel": "Objektetikett",
+      "objectLabelPlaceholder": "Välj objekttyp...",
+      "classificationType": "Klassificeringstyp",
+      "classificationTypeTip": "Lär dig mer om klassificeringstyper",
+      "classificationTypeDesc": "Underetiketter lägger till ytterligare text till objektetiketten (t.ex. 'Person: UPS'). Attribut är sökbara metadata som lagras separat i objektmetadata.",
+      "classificationSubLabel": "Underetikett",
+      "classificationAttribute": "Attribut",
+      "classes": "Klasser",
+      "states": "Tillstånd",
+      "classesTip": "Lär dig mer om klasser",
+      "classesStateDesc": "Definiera de olika tillstånd som ditt kameraområde kan vara i. Till exempel: \"öppen\" och \"stängd\" för en garageport.",
+      "classesObjectDesc": "Definiera de olika kategorierna som detekterade objekt ska klassificeras i. Till exempel: 'leveransperson', 'boende', 'främling' för personklassificering.",
+      "classPlaceholder": "Ange klassnamn...",
+      "errors": {
+        "nameRequired": "Modellnamn krävs",
+        "nameLength": "Modellnamnet måste vara högst 64 tecken långt",
+        "nameOnlyNumbers": "Modellnamnet får inte bara innehålla siffror",
+        "classRequired": "Minst 1 klass krävs",
+        "classesUnique": "Klassnamn måste vara unika",
+        "stateRequiresTwoClasses": "Tillståndsmodeller kräver minst två klasser",
+        "objectLabelRequired": "Välj en objektetikett",
+        "objectTypeRequired": "Vänligen välj en klassificeringstyp",
+        "noneNotAllowed": "Klassen 'none' är inte tillåten"
+      }
+    },
+    "step2": {
+      "description": "Välj kameror och definiera området som ska övervakas för varje kamera. Modellen kommer att klassificera tillståndet för dessa områden.",
+      "cameras": "Kameror",
+      "selectCamera": "Välj kamera",
+      "noCameras": "Klicka på + för att lägga till kameror",
+      "selectCameraPrompt": "Välj en kamera från listan för att definiera dess övervakningsområde"
+    },
+    "step3": {
+      "selectImagesPrompt": "Markera alla bilder med: {{className}}",
+      "selectImagesDescription": "Klicka på bilderna för att välja dem. Klicka på Fortsätt när du är klar med den här klass.",
+      "generating": {
+        "title": "Generera exempelbilder",
+        "description": "Frigate hämtar representativa bilder från dina inspelningar. Det kan ta en stund..."
+      },
+      "training": {
+        "title": "Träningsmodell",
+        "description": "Din modell tränas i bakgrunden. Stäng den här dialogrutan så börjar modellen köras så snart träningen är klar."
+      },
+      "retryGenerate": "Försök att generera igen",
+      "noImages": "Inga exempelbilder genererade",
+      "classifying": "Klassificering & Träning...",
+      "trainingStarted": "Träningen har börjat",
+      "errors": {
+        "noCameras": "Inga kameror konfigurerade",
+        "noObjectLabel": "Ingen objektetikett vald",
+        "generateFailed": "Misslyckades med att generera exempel: {{error}}",
+        "generationFailed": "Genereringen misslyckades. Försök igen.",
+        "classifyFailed": "Misslyckades med att klassificera bilder: {{error}}"
+      },
+      "generateSuccess": "Exempelbilder har genererats",
+      "allImagesRequired_one": "Vänligen klassificera alla bilder. {{count}} bild återstår.",
+      "allImagesRequired_other": "Vänligen klassificera alla bilder. {{count}} bilder återstår.",
+      "modelCreated": "Modellen har skapats. Använd vyn Senaste klassificeringar för att lägga till bilder för saknade tillstånd och träna sedan modellen.",
+      "missingStatesWarning": {
+        "title": "Exempel på saknade tillstånd",
+        "description": "Det rekommenderas att välja exempel för alla tillstånd för bästa resultat. Du kan fortsätta utan att välja alla tillstånd, men modellen kommer inte att tränas förrän alla tillstånd har bilder. När du har fortsatt använder du vyn Senaste klassificeringar för att klassificera bilder för de saknade tillstånden och tränar sedan modellen."
+      }
+    }
+  },
+  "deleteModel": {
+    "title": "Ta bort klassificeringsmodell",
+    "single": "Är du säker på att du vill ta bort {{name}}? Detta kommer att permanent ta bort all tillhörande data, inklusive bilder och träningsdata. Åtgärden kan inte ångras.",
+    "desc_one": "Är du säker på att du vill ta bort {{count}} modell? Detta kommer att permanent ta bort all tillhörande data, inklusive bilder och träningsdata. Åtgärden kan inte ångras.",
+    "desc_other": "Är du säker på att du vill ta bort {{count}} modeller? Detta kommer att permanent ta bort all tillhörande data, inklusive bilder och träningsdata. Åtgärden kan inte ångras."
+  },
+  "menu": {
+    "objects": "Objekt",
+    "states": "Tillstånd"
+  },
+  "details": {
+    "scoreInfo": "Poängen representerar den genomsnittliga klassificeringssäkerheten för alla upptäckter av detta objekt.",
+    "none": "Ingen",
+    "unknown": "Okänd"
+  },
+  "edit": {
+    "title": "Redigera klassificeringsmodell",
+    "descriptionState": "Redigera klasserna för denna tillståndsklassificeringsmodell. Ändringar kräver omträning av modellen.",
+    "descriptionObject": "Redigera objekttyp och klassificeringstyp för denna objektklassificeringsmodell.",
+    "stateClassesInfo": "Observera: För att ändra tillståndsklasser måste modellen omtränas med de uppdaterade klasserna."
+  },
+  "tooltip": {
+    "trainingInProgress": "Modellen tränar för närvarande",
+    "noNewImages": "Inga nya bilder att träna. Klassificera fler bilder i datasetet först.",
+    "noChanges": "Inga ändringar i datamängden sedan senaste träningen.",
+    "modelNotReady": "Modellen är inte redo för träning"
+  },
+  "none": "Ingen"
+}
diff --git a/web/public/locales/sv/views/events.json b/web/public/locales/sv/views/events.json
index 89b9d1dd3..f849a43a2 100644
--- a/web/public/locales/sv/views/events.json
+++ b/web/public/locales/sv/views/events.json
@@ -9,7 +9,11 @@
   "empty": {
     "alert": "Det finns inga varningar att granska",
     "detection": "Det finns inga detekteringar att granska",
-    "motion": "Ingen rörelsedata hittad"
+    "motion": "Ingen rörelsedata hittad",
+    "recordingsDisabled": {
+      "title": "Inspelningar måste vara aktiverat",
+      "description": "Granskningsobjekt kan bara skapas för en kamera när inspelningar är aktiverat för den kameran."
+    }
   },
   "documentTitle": "Granska - Frigate",
   "timeline": "Tidslinje",
@@ -36,5 +40,28 @@
   "selected_one": "{{count}} valda",
   "selected_other": "{{count}} valda",
   "suspiciousActivity": "Misstänkt aktivitet",
-  "threateningActivity": "Hotande aktivitet"
+  "threateningActivity": "Hotande aktivitet",
+  "detail": {
+    "noDataFound": "Inga detaljerade data att granska",
+    "aria": "Växla detaljvy",
+    "trackedObject_one": "{{count}} objekt",
+    "trackedObject_other": "{{count}} objekt",
+    "noObjectDetailData": "Inga objektdetaljdata tillgängliga.",
+    "label": "Detalj",
+    "settings": "Detaljvy inställningar",
+    "alwaysExpandActive": {
+      "title": "Expandera alltid aktivt",
+      "desc": "Expandera alltid objektinformationen för det aktiva granskningsobjektet när den är tillgänglig."
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Spårad punkt",
+    "clickToSeek": "Klicka för att söka till den här tiden"
+  },
+  "zoomIn": "Zooma in",
+  "zoomOut": "Zooma ut",
+  "normalActivity": "Normal",
+  "needsReview": "Behöver granskas",
+  "securityConcern": "Säkerhetsproblem",
+  "select_all": "Alla"
 }
diff --git a/web/public/locales/sv/views/explore.json b/web/public/locales/sv/views/explore.json
index d4f3db8f9..b6355ea2c 100644
--- a/web/public/locales/sv/views/explore.json
+++ b/web/public/locales/sv/views/explore.json
@@ -48,13 +48,15 @@
           "regenerate": "En ny beskrivning har begärts från {{provider}}. Beroende på din leverantörs hastighet kan det ta lite tid att generera den nya beskrivningen.",
           "updatedSublabel": "Underetiketten har uppdaterats.",
           "updatedLPR": "Nummerplåt har uppdaterats.",
-          "audioTranscription": "Ljudtranskription har begärts."
+          "audioTranscription": "Ljudtranskription har begärts. Beroende på hastigheten på din Frigate-server kan transkriptionen ta lite tid att slutföra.",
+          "updatedAttributes": "Attributen har uppdaterats."
         },
         "error": {
           "regenerate": "Kunde inte ringa {{provider}} för en ny beskrivning: {{errorMessage}}",
           "updatedSublabelFailed": "Misslyckades med att uppdatera underetiketten: {{errorMessage}}",
           "audioTranscription": "Misslyckades med att begära ljudtranskription: {{errorMessage}}",
-          "updatedLPRFailed": "Misslyckades med att uppdatera nummerplåten: {{errorMessage}}"
+          "updatedLPRFailed": "Misslyckades med att uppdatera nummerplåten: {{errorMessage}}",
+          "updatedAttributesFailed": "Misslyckades med att uppdatera attribut: {{errorMessage}}"
         }
       }
     },
@@ -102,6 +104,14 @@
     "tips": {
       "descriptionSaved": "Beskrivningen har sparats",
       "saveDescriptionFailed": "Misslyckades med att uppdatera beskrivningen: {{errorMessage}}"
+    },
+    "editAttributes": {
+      "title": "Redigera attribut",
+      "desc": "Välj klassificeringsattribut för denna {{label}}"
+    },
+    "attributes": "Klassificeringsattribut",
+    "title": {
+      "label": "Titel"
     }
   },
   "exploreMore": "Utforska fler {{label}} objekt",
@@ -109,7 +119,9 @@
     "details": "detaljer",
     "video": "video",
     "snapshot": "ögonblicksbild",
-    "object_lifecycle": "objektets livscykel"
+    "object_lifecycle": "objektets livscykel",
+    "thumbnail": "miniatyrbild",
+    "tracking_details": "spårningsdetaljer"
   },
   "trackedObjectDetails": "Detaljer om spårade objekt",
   "objectLifecycle": {
@@ -196,12 +208,26 @@
     },
     "deleteTrackedObject": {
       "label": "Ta bort det här spårade objektet"
+    },
+    "showObjectDetails": {
+      "label": "Visa objektets plats"
+    },
+    "viewTrackingDetails": {
+      "label": "Visa spårningsinformation",
+      "aria": "Visa spårningsdetaljerna"
+    },
+    "hideObjectDetails": {
+      "label": "Dölj objektsökväg"
+    },
+    "downloadCleanSnapshot": {
+      "label": "Ladda ner ren ögonblicksbild",
+      "aria": "Ladda ner ren ögonblicksbild"
     }
   },
   "dialog": {
     "confirmDelete": {
       "title": "Bekräfta radering",
-      "desc": "Om du tar bort det här spårade objektet tas bort ögonblicksbilden, alla sparade inbäddningar och alla tillhörande objektlivscykelposter bort. Inspelade bilder av det här spårade objektet i historikvyn kommer <em>INTE</em> att raderas.<br /><br />Är du säker på att du vill fortsätta?"
+      "desc": "Om du tar bort det här spårade objektet tas ögonblicksbilden, alla sparade inbäddningar och alla tillhörande spårningsdetaljer bort. Inspelade bilder av det här spårade objektet i historikvyn kommer <em>INTE</em> att raderas.<br /><br />Är du säker på att du vill fortsätta?"
     }
   },
   "noTrackedObjects": "Inga spårade objekt hittades",
@@ -215,12 +241,63 @@
         "success": "Spårat objekt har raderats.",
         "error": "Misslyckades med att ta bort spårat objekt: {{errorMessage}}"
       }
-    }
+    },
+    "previousTrackedObject": "Föregående spårade objekt",
+    "nextTrackedObject": "Nästa spårade objekt"
   },
   "aiAnalysis": {
     "title": "AI-analys"
   },
   "concerns": {
     "label": "Oro"
+  },
+  "trackingDetails": {
+    "title": "Spårningsdetaljer",
+    "noImageFound": "Ingen bild hittades för denna tidsstämpel.",
+    "createObjectMask": "Skapa objektmask",
+    "adjustAnnotationSettings": "Justera annoteringsinställningar",
+    "scrollViewTips": "Klicka för att se de viktiga ögonblicken i detta objekts livscykel.",
+    "autoTrackingTips": "Begränsningsrutornas positioner kommer att vara felaktiga för autospårningskameror.",
+    "count": "{{first}} av {{second}}",
+    "trackedPoint": "Spårad punkt",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} upptäckt",
+      "entered_zone": "{{label}} gick in i {{zones}}",
+      "active": "{{label}} blev aktiv",
+      "stationary": "{{label}} blev stationär",
+      "attribute": {
+        "faceOrLicense_plate": "{{attribute}} upptäckt för {{label}}",
+        "other": "{{label}} igenkänd som {{attribute}}"
+      },
+      "gone": "{{label}} lämnade",
+      "heard": "{{label}} hördes",
+      "external": "{{label}} upptäckt",
+      "header": {
+        "zones": "Zoner",
+        "ratio": "Förhållandet",
+        "area": "Område",
+        "score": "Resultat"
+      }
+    },
+    "annotationSettings": {
+      "title": "Annoteringsinställningar",
+      "showAllZones": {
+        "title": "Visa alla zoner",
+        "desc": "Visa alltid zoner på ramar där objekt har kommit in i en zon."
+      },
+      "offset": {
+        "label": "Annoteringsförskjutning",
+        "desc": "Denna data kommer från din kameras detekteringsflöde men läggs ovanpå bilder från inspelningsflödet. Det är osannolikt att de två strömmarna är helt synkroniserade. Som ett resultat kommer avgränsningsramen och filmmaterialet inte att radas upp perfekt. Du kan använda den här inställningen för att förskjuta anteckningarna framåt eller bakåt i tiden för att bättre anpassa dem till det inspelade materialet.",
+        "millisecondsToOffset": "Millisekunder för att förskjuta detektera annoteringar med. <em>Standard: 0</em>",
+        "tips": "TIPS: Föreställ dig ett händelseklipp med en person som går från vänster till höger. Om tidslinjens avgränsningsram konsekvent är till vänster om personen bör värdet minskas. På samma sätt, om en person går från vänster till höger och avgränsningsramen konsekvent är framför personen bör värdet ökas.",
+        "toast": {
+          "success": "Annoteringsförskjutningen för {{camera}} har sparats i konfigurationsfilen."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Föregående bild",
+      "next": "Nästa bild"
+    }
   }
 }
diff --git a/web/public/locales/sv/views/exports.json b/web/public/locales/sv/views/exports.json
index f5b8f37b5..da2bc1324 100644
--- a/web/public/locales/sv/views/exports.json
+++ b/web/public/locales/sv/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "Misslyckades att byta namn på export: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Dela export",
+    "downloadVideo": "Ladda ner video",
+    "editName": "Redigera namn",
+    "deleteExport": "Ta bort export"
   }
 }
diff --git a/web/public/locales/sv/views/faceLibrary.json b/web/public/locales/sv/views/faceLibrary.json
index 7bb84d167..485dfdd1f 100644
--- a/web/public/locales/sv/views/faceLibrary.json
+++ b/web/public/locales/sv/views/faceLibrary.json
@@ -5,14 +5,14 @@
     "face": "Ansiktsdetaljer",
     "timestamp": "tidsstämpel",
     "faceDesc": "Detaljer om det spårade objektet som genererade detta ansikte",
-    "unknown": "Okänt",
+    "unknown": "Okänd",
     "subLabelScore": "Underetikettpoäng",
     "scoreInfo": "Underetikettpoängen är den viktade poängen för alla igenkända ansiktskonfidenser, så detta kan skilja sig från poängen som visas på ögonblicksbilden."
   },
   "description": {
     "placeholder": "Ange ett namn för denna samling",
-    "addFace": "Gå genom för att lägga till nya ansikte till biblioteket.",
-    "invalidName": "Felaktigt namn. Namn kan endast innehålla bokstäver, siffror, mellanslag, apostrofer, understreck och bindestreck."
+    "addFace": "Lägg till en ny samling i ansiktsbiblioteket genom att ladda upp din första bild.",
+    "invalidName": "Ogiltigt namn. Namn får endast innehålla bokstäver, siffror, mellanslag, apostrofer, understreck och bindestreck."
   },
   "documentTitle": "Ansiktsbibliotek - Frigate",
   "steps": {
@@ -26,13 +26,14 @@
   "createFaceLibrary": {
     "title": "Skapa samling",
     "desc": "Skapa ny samling",
-    "nextSteps": "För att bygga en stark grund:<li>Använd fliken Träna för att välja och träna på bilder för varje upptäckt person.</li><li>Fokusera på raka bilder för bästa resultat; undvik träningsbilder som fångar ansikten i vinkel.</li></ul>",
+    "nextSteps": "För att bygga en stark grund:<li>Använd fliken Senaste Igenkänningar för att välja och träna bilder för varje detekterad person.</li><li>Fokusera på raka bilder för bästa resultat; undvik att träna bilder som fångar ansikten i en vinkel.</li></ul>",
     "new": "Skapa nytt ansikte"
   },
   "train": {
-    "title": "Träna",
-    "aria": "Välj träna",
-    "empty": "Det finns inga ny försök till ansiktsigenkänning"
+    "title": "Senaste Igenkänningar",
+    "aria": "Välj senaste igenkänningar",
+    "empty": "Det finns inga ny försök till ansiktsigenkänning",
+    "titleShort": "Ny"
   },
   "uploadFaceImage": {
     "title": "Ladda upp ansiktsbild",
@@ -52,7 +53,7 @@
   },
   "imageEntry": {
     "dropActive": "Släpp bilden här…",
-    "dropInstructions": "Dra och släpp en bild här, eller klicka för att välja",
+    "dropInstructions": "Dra och släpp eller klistra in en bild här, eller klicka för att välja",
     "maxSize": "Maxstorlek: {{size}}MB",
     "validation": {
       "selectImage": "Välj en bildfil."
diff --git a/web/public/locales/sv/views/live.json b/web/public/locales/sv/views/live.json
index 17446420f..b0873ae86 100644
--- a/web/public/locales/sv/views/live.json
+++ b/web/public/locales/sv/views/live.json
@@ -73,8 +73,8 @@
     "disable": "Avaktivera ljudaktivering"
   },
   "autotracking": {
-    "enable": "Aktivera automatisk panorering",
-    "disable": "Avaktivera automatisk panorering"
+    "enable": "Aktivera Autospårning",
+    "disable": "Avaktivera Autospårning"
   },
   "notifications": "Notifikationer",
   "audio": "Ljud",
@@ -82,8 +82,8 @@
   "manualRecording": {
     "failedToEnd": "Misslyckades med att avsluta manuell vid behov-inspelning.",
     "started": "Starta manuell inspelning vid behov.",
-    "title": "Aktivera inspelning vid behov",
-    "tips": "Starta en manuell händelse enligt denna kameras inställningar för inspelningslagring.",
+    "title": "Vid behov",
+    "tips": "Ladda ner en omedelbar ögonblicksbild eller starta en manuell händelse baserat på kamerans inställningar för inspelningslagring.",
     "playInBackground": {
       "label": "Spela upp i bakgrunden",
       "desc": "Strömma vidare när spelaren inte visas."
@@ -137,7 +137,7 @@
     "forTime": "Pausa för: "
   },
   "stream": {
-    "title": "Ström (Swedish also use the word Stream)",
+    "title": "Ström",
     "audio": {
       "tips": {
         "title": "Ljud måste skickas ut från din kamera och konfigureras i go2rtc för den här strömmen.",
@@ -170,5 +170,20 @@
   "transcription": {
     "enable": "Aktivera live-ljudtranskription",
     "disable": "Inaktivera live-ljudtranskription"
+  },
+  "noCameras": {
+    "title": "Inga kameror konfigurerade",
+    "description": "Börja med att ansluta en kamera till Frigate.",
+    "buttonText": "Lägg till kamera",
+    "restricted": {
+      "title": "Inga kameror tillgängliga",
+      "description": "Du har inte behörighet att visa några kameror i den här gruppen."
+    }
+  },
+  "snapshot": {
+    "takeSnapshot": "Ladda ner omedelbar ögonblicksbild",
+    "noVideoSource": "Ingen videokälla tillgänglig för ögonblicksbilden.",
+    "captureFailed": "Misslyckades med att ta en ögonblicksbild.",
+    "downloadStarted": "Nedladdning av ögonblicksbild har startat."
   }
 }
diff --git a/web/public/locales/sv/views/search.json b/web/public/locales/sv/views/search.json
index 5fd24ab76..2e9f4e007 100644
--- a/web/public/locales/sv/views/search.json
+++ b/web/public/locales/sv/views/search.json
@@ -43,7 +43,8 @@
       "has_clip": "Har klipp",
       "has_snapshot": "Har Ögonblicksbild",
       "labels": "Etiketter",
-      "max_score": "Högsta Poäng"
+      "max_score": "Högsta Poäng",
+      "attributes": "Attribut"
     },
     "searchType": {
       "thumbnail": "Miniatyrbild",
diff --git a/web/public/locales/sv/views/settings.json b/web/public/locales/sv/views/settings.json
index 1d477e645..2c054001c 100644
--- a/web/public/locales/sv/views/settings.json
+++ b/web/public/locales/sv/views/settings.json
@@ -2,7 +2,7 @@
   "documentTitle": {
     "camera": "Kamerainställningar - Frigate",
     "default": "Inställningar - Frigate",
-    "general": "Allmänna inställningar - Frigate",
+    "general": "Användargränssnitt Inställningar - Frigate",
     "authentication": "Autentiseringsinställningar - Frigate",
     "classification": "Klassificeringsinställningar - Frigate",
     "masksAndZones": "Maskerings- och zonverktyg - Frigate",
@@ -10,20 +10,30 @@
     "frigatePlus": "Frigate+ Inställningar - Frigate",
     "notifications": "Notifikations Inställningar - Frigate",
     "motionTuner": "Rörelse inställning - Frigate",
-    "object": "Felsöka - Frigate"
+    "object": "Felsöka - Frigate",
+    "cameraManagement": "Hantera kameror - Frigate",
+    "cameraReview": "Kameragranskningsinställningar - Frigate"
   },
   "general": {
-    "title": "Allmänna Inställningar",
+    "title": "UI inställningar",
     "liveDashboard": {
       "automaticLiveView": {
         "desc": "Automatiskt byte till kamera där aktivitet registreras. Inaktivering av denna inställning gör att en statisk bild visas i Live Panelen som uppdateras en gång per minut.",
         "label": "Automatisk Live Visning"
       },
       "playAlertVideos": {
-        "desc": "Som standard visas varningar på Live Panelen som små loopande klipp. Inaktivera denna inställning för att bara visa en statisk bild av nya varningar på denna enhet/webbläsare.",
-        "label": "Spela Varnings Videos"
+        "desc": "Som standard visas varningar på Live panelen som små loopande klipp. Inaktivera denna inställning för att bara visa en statisk bild av nya varningar på denna enhet/webbläsare.",
+        "label": "Spela upp Varnings videor"
       },
-      "title": "Live Panel"
+      "title": "Live Panel",
+      "displayCameraNames": {
+        "label": "Visa alltid kameranamn",
+        "desc": "Visa alltid kameranamnen i ett chip i instrumentpanelen för livevisning med flera kameror."
+      },
+      "liveFallbackTimeout": {
+        "label": "Live spelare reserv timeout",
+        "desc": "När en kameras högkvalitativa liveström inte är tillgänglig, återgå till lågbandbreddsläge efter så här många sekunder. Standard: 3."
+      }
     },
     "storedLayouts": {
       "title": "Sparade Layouter",
@@ -138,7 +148,10 @@
     "enrichments": "Förbättringar",
     "motionTuner": "Rörelsemottagare",
     "debug": "Felsök",
-    "triggers": "Utlösare"
+    "triggers": "Utlösare",
+    "roles": "Roller",
+    "cameraManagement": "Hantering",
+    "cameraReview": "Granska"
   },
   "dialog": {
     "unsavedChanges": {
@@ -239,7 +252,8 @@
           "mustNotBeSameWithCamera": "Zonnamnet får inte vara detsamma som kameranamnet.",
           "alreadyExists": "En zon med detta namn finns redan för den här kameran.",
           "mustNotContainPeriod": "Zonnamnet får inte innehålla punkter.",
-          "hasIllegalCharacter": "Zonnamnet innehåller ogiltiga tecken."
+          "hasIllegalCharacter": "Zonnamnet innehåller ogiltiga tecken.",
+          "mustHaveAtLeastOneLetter": "Zonnamnet måste ha minst en bokstav."
         }
       },
       "distance": {
@@ -294,7 +308,7 @@
       "name": {
         "title": "Namn",
         "inputPlaceHolder": "Ange ett namn…",
-        "tips": "Namnet måste vara minst 2 tecken långt och får inte vara namnet på en kamera eller en annan zon."
+        "tips": "Namnet måste vara minst 2 tecken långt, måste innehålla minst en bokstav och får inte vara namnet på en kamera eller någon annan zon på den här kameran."
       },
       "inertia": {
         "title": "Momentum",
@@ -331,7 +345,7 @@
         }
       },
       "toast": {
-        "success": "Zon ({{zoneName}}) har sparats. Starta om Frigate för att tillämpa ändringarna."
+        "success": "Zonen ({{zoneName}}) har sparats."
       }
     },
     "motionMasks": {
@@ -355,8 +369,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} har sparats. Starta om Frigate för att tillämpa ändringarna.",
-          "noName": "Rörelsemasken har sparats. Starta om Frigate för att tillämpa ändringarna."
+          "title": "{{polygonName}} har sparats.",
+          "noName": "Rörelsemasken har sparats."
         }
       }
     },
@@ -380,8 +394,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} har sparats. Starta om Frigate för att tillämpa ändringarna.",
-          "noName": "Objektmasken har sparats. Starta om Frigate för att tillämpa ändringarna."
+          "title": "{{polygonName}} har sparats.",
+          "noName": "Objektmasken har sparats."
         }
       }
     }
@@ -429,7 +443,7 @@
       "desc": "Visa avgränsningsrutor runt spårade objekt",
       "colors": {
         "label": "Färger för objektgränser",
-        "info": "<li>Vid uppstart tilldelas olika färger till varje objektetikett</li><li>En mörkblå tunn linje indikerar att objektet inte detekteras vid denna aktuella tidpunkt</li><li>En grå tunn linje indikerar att objektet detekteras som stillastående</li><li>En tjock linje indikerar att objektet är föremål för automatisk spårning (när det är aktiverat)</li>"
+        "info": "<li>Vid uppstart tilldelas olika färger till varje objektetikett</li><li>En mörkblå tunn linje indikerar att objektet inte detekteras vid denna aktuella tidpunkt</li><li>En grå tunn linje indikerar att objektet detekteras som stillastående</li><li>En tjock linje indikerar att objektet är föremål för autospårning (när det är aktiverat)</li>"
       }
     },
     "timestamp": {
@@ -475,7 +489,7 @@
       "desc": "Hantera användarkonton för denna Frigate-instans."
     },
     "addUser": "Lägg till användare",
-    "updatePassword": "Uppdatera lösenord",
+    "updatePassword": "Återställ lösenord",
     "toast": {
       "success": {
         "createUser": "Användaren {{user}} har skapats",
@@ -496,7 +510,7 @@
       "role": "Roll",
       "noUsers": "Inga användare hittades.",
       "changeRole": "Ändra användarroll",
-      "password": "Lösenord",
+      "password": "Återställ Lösenord",
       "deleteUser": "Ta bort användare"
     },
     "dialog": {
@@ -521,6 +535,15 @@
           "confirm": {
             "title": "Bekräfta lösenord",
             "placeholder": "Bekräfta lösenord"
+          },
+          "show": "Visa lösenord",
+          "hide": "Dölj lösenord",
+          "requirements": {
+            "title": "Lösenordskrav:",
+            "length": "Minst 8 tecken",
+            "uppercase": "Minst en stor bokstav",
+            "digit": "Minst en siffra",
+            "special": "Minst ett specialtecken (!@#$%^&*(),.?\":{}|<>)"
           }
         },
         "newPassword": {
@@ -531,7 +554,11 @@
           }
         },
         "usernameIsRequired": "Användarnamn krävs",
-        "passwordIsRequired": "Lösenord krävs"
+        "passwordIsRequired": "Lösenord krävs",
+        "currentPassword": {
+          "title": "Nuvarande lösenord",
+          "placeholder": "Ange ditt nuvarande lösenord"
+        }
       },
       "createUser": {
         "title": "Skapa ny användare",
@@ -549,7 +576,12 @@
         "doNotMatch": "Lösenorden matchar inte",
         "updatePassword": "Uppdatera lösenord för {{username}}",
         "setPassword": "Ange lösenord",
-        "desc": "Skapa ett starkt lösenord för att säkra det här kontot."
+        "desc": "Skapa ett starkt lösenord för att säkra det här kontot.",
+        "currentPasswordRequired": "Nuvarande lösenord krävs",
+        "incorrectCurrentPassword": "Nuvarande lösenord är felaktigt",
+        "passwordVerificationFailed": "Misslyckades med att verifiera lösenordet",
+        "multiDeviceWarning": "Alla andra enheter där du är inloggad måste logga in igen inom {{refresh_time}}.",
+        "multiDeviceAdmin": "Du kan också tvinga alla användare att autentisera om sig omedelbart genom att rotera din JWT-hemlighet."
       },
       "changeRole": {
         "title": "Ändra användarroll",
@@ -588,7 +620,7 @@
     },
     "unregisterDevice": "Avregistrera enheten",
     "sendTestNotification": "Skicka testnotis",
-    "active": "Notifieringar aktiva",
+    "active": "Aviseringar är aktiva",
     "notificationUnavailable": {
       "title": "Meddelanden otillgängliga",
       "desc": "Webb push-meddelanden kräver en säker kontext (<code>https://…</code>). Detta är en begränsning i webbläsaren. Få säker åtkomst till Frigate för att använda meddelanden."
@@ -634,7 +666,8 @@
         "createRole": "Roll {{role}} skapad",
         "updateCameras": "Kameror uppdaterade för roll {{role}}",
         "deleteRole": "Roll {{role}} raderad",
-        "userRolesUpdated": "{{count}} användare som tilldelats den här rollen har uppdaterats till 'tittare', vilket har åtkomst till alla kameror."
+        "userRolesUpdated_one": "{{count}} användare som tilldelats den här rollen har uppdaterats till 'tittare', vilket har åtkomst till alla kameror.",
+        "userRolesUpdated_other": "{{count}} användare som tilldelats den här rollen har uppdaterats till 'tittare', vilket har åtkomst till alla kameror."
       },
       "error": {
         "createRoleFailed": "Misslyckades att skapa roll: {{errorMessage}}",
@@ -725,7 +758,7 @@
   "triggers": {
     "documentTitle": "Utlösare",
     "management": {
-      "title": "Utlösare hantering",
+      "title": "Utlösare",
       "desc": "Hantera utlösare för {{camera}}. Använd miniatyrtypen för att utlösa liknande miniatyrer som ditt valda spårade objekt och beskrivningstypen för att utlösa liknande beskrivningar av text du anger."
     },
     "addTrigger": "Lägg till utlösare",
@@ -746,7 +779,9 @@
     },
     "actions": {
       "notification": "Skicka avisering",
-      "alert": "Markera som varning"
+      "alert": "Markera som Varning",
+      "sub_label": "Lägg till underetikett",
+      "attribute": "Lägg till attribut"
     },
     "dialog": {
       "createTrigger": {
@@ -764,25 +799,28 @@
       "form": {
         "name": {
           "title": "Namn",
-          "placeholder": "Ange utlösarens namn",
+          "placeholder": "Namnge denna utlösare",
           "error": {
-            "minLength": "Namnet måste vara minst 2 tecken lång.",
-            "invalidCharacters": "Namnet får bara innehålla bokstäver, siffror, understreck, och bindestreck.",
+            "minLength": "Fältet måste vara minst 2 tecken långt.",
+            "invalidCharacters": "Fältet får bara innehålla bokstäver, siffror, understreck och bindestreck.",
             "alreadyExists": "En utlösare med detta namn finns redan för den här kameran."
-          }
+          },
+          "description": "Ange ett unikt namn eller en unik beskrivning för att identifiera den här utlösaren"
         },
         "enabled": {
           "description": "Aktivera eller inaktivera den här utlösaren"
         },
         "type": {
           "title": "Typ",
-          "placeholder": "Välj utlösartyp"
+          "placeholder": "Välj utlösartyp",
+          "description": "Utlöses när en liknande beskrivning av spårat objekt detekteras",
+          "thumbnail": "Utlöses när en liknande miniatyrbild av ett spårat objekt upptäcks"
         },
         "content": {
           "title": "Innehåll",
-          "imagePlaceholder": "Välj en bild",
+          "imagePlaceholder": "Välj en miniatyrbild",
           "textPlaceholder": "Ange textinnehåll",
-          "imageDesc": "Välj en bild för att utlösa den här åtgärden när en liknande bild upptäcks.",
+          "imageDesc": "Endast de senaste 100 miniatyrerna visas. Om du inte hittar önskad miniatyr kan du granska tidigare objekt i Utforska och skapa en utlösare från menyn där.",
           "textDesc": "Ange text för att utlösa den här åtgärden när en liknande beskrivning av spårat objekt upptäcks.",
           "error": {
             "required": "Innehåll krävs."
@@ -793,14 +831,20 @@
           "error": {
             "min": "Tröskelvärdet måste vara minst 0",
             "max": "Tröskelvärdet får vara högst 1"
-          }
+          },
+          "desc": "Ställ in likhetströskeln för denna utlösare. En högre tröskel innebär att en bättre matchning krävs för att utlösaren ska aktiveras."
         },
         "actions": {
           "title": "Åtgärder",
-          "desc": "Som standard utlöser Frigate ett MQTT-meddelande för alla utlösare. Välj en ytterligare åtgärd att utföra när den här utlösaren utlöses.",
+          "desc": "Som standard utlöser Frigate ett MQTT-meddelande för alla utlösare. Underetiketter lägger till utlösarnamnet till objektetiketten. Attribut är sökbara metadata som lagras separat i de spårade objektmetadata.",
           "error": {
             "min": "Minst en åtgärd måste väljas."
           }
+        },
+        "friendly_name": {
+          "title": "Vänligt namn",
+          "placeholder": "Namnge eller beskriv denna utlösare",
+          "description": "Ett valfritt vänligt namn eller en beskrivande text för denna utlösare."
         }
       }
     },
@@ -815,6 +859,380 @@
         "updateTriggerFailed": "Misslyckades med att uppdatera utlösaren: {{errorMessage}}",
         "deleteTriggerFailed": "Misslyckades med att ta bort utlösaren: {{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "title": "Semantisk sökning är inaktiverad",
+      "desc": "Semantisk sökning måste vara aktiverad för att använda Utlösare."
+    },
+    "wizard": {
+      "title": "Skapa utlösare",
+      "step1": {
+        "description": "Konfigurera grundinställningarna för din trigger."
+      },
+      "step2": {
+        "description": "Ställ in innehållet som ska utlösa den här åtgärden."
+      },
+      "step3": {
+        "description": "Konfigurera tröskelvärdet och åtgärderna för den här utlösaren."
+      },
+      "steps": {
+        "nameAndType": "Namn och typ",
+        "configureData": "Konfigurera data",
+        "thresholdAndActions": "Tröskelvärde och åtgärder"
+      }
+    }
+  },
+  "cameraWizard": {
+    "title": "Lägg till kamera",
+    "description": "Följ stegen nedan för att lägga till en ny kamera i din Frigate-installation.",
+    "steps": {
+      "nameAndConnection": "Namn och anslutning",
+      "streamConfiguration": "Strömkonfiguration",
+      "validationAndTesting": "Validering och testning",
+      "probeOrSnapshot": "Prob eller ögonblicksbild"
+    },
+    "save": {
+      "success": "Ny kamera {{cameraName}} har sparats.",
+      "failure": "Fel vid sparning av {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Upplösning",
+      "video": "Video",
+      "audio": "Ljud",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Ange en giltig strömnings länk",
+      "testFailed": "Strömtest misslyckades: {{error}}"
+    },
+    "step1": {
+      "description": "Ange dina kamerauppgifter och välj att undersöka kameran eller manuellt välja märke.",
+      "cameraName": "Kameranamn",
+      "cameraNamePlaceholder": "t.ex. ytterdörr eller Översikt över bakgård",
+      "host": "Värd-/IP-adress",
+      "port": "Portnummer",
+      "username": "Användarnamn",
+      "usernamePlaceholder": "Frivillig",
+      "password": "Lösenord",
+      "passwordPlaceholder": "Frivillig",
+      "selectTransport": "Välj transportprotokoll",
+      "cameraBrand": "Kameramärke",
+      "selectBrand": "Välj kameramärke för URL-mall",
+      "customUrl": "Anpassad ström länk",
+      "brandInformation": "Varumärkesinformation",
+      "brandUrlFormat": "För kameror med RTSP URL-formatet: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://användarnamn:passord@värd:port/text",
+      "testConnection": "Testa anslutning",
+      "testSuccess": "Anslutningstestet lyckades!",
+      "testFailed": "Anslutningstestet misslyckades. Kontrollera dina indata och försök igen.",
+      "streamDetails": "Streamdetaljer",
+      "warnings": {
+        "noSnapshot": "Det gick inte att hämta en ögonblicksbild från den konfigurerade strömmen."
+      },
+      "errors": {
+        "brandOrCustomUrlRequired": "Välj antingen ett kameramärke med värd/IP eller välj \"Annat\" med en anpassad URL",
+        "nameRequired": "Kameranamn krävs",
+        "nameLength": "Kameranamnet måste vara högst 64 tecken långt",
+        "invalidCharacters": "Kameranamnet innehåller ogiltiga tecken",
+        "nameExists": "Kameranamnet finns redan",
+        "brands": {
+          "reolink-rtsp": "Reolink RTSP rekommenderas inte. Aktivera HTTP i kamerans firmwareinställningar och starta om guiden."
+        },
+        "customUrlRtspRequired": "Anpassade webbadresser måste börja med \"rtsp://\". Manuell konfiguration krävs för kameraströmmar som inte använder RTSP."
+      },
+      "docs": {
+        "reolink": "https://docs.frigate.video/configuration/camera_specific.html#reolink-cameras"
+      },
+      "testing": {
+        "probingMetadata": "Undersöker kamerans metadata...",
+        "fetchingSnapshot": "Hämtar kamerabild..."
+      },
+      "connectionSettings": "Anslutningsinställningar",
+      "detectionMethod": "Strömdetekteringsmetod",
+      "onvifPort": "ONVIF-port",
+      "probeMode": "Undersök kameran",
+      "manualMode": "Manuellt val",
+      "detectionMethodDescription": "Undersök kameran med ONVIF (om det stöds) för att hitta kameraströms-URL:er, eller välj kameramärke manuellt för att använda fördefinierade URL:er. För att ange en anpassad RTSP-URL, välj den manuella metoden och välj \"Annat\".",
+      "onvifPortDescription": "För kameror som stöder ONVIF är detta vanligtvis 80 eller 8080.",
+      "useDigestAuth": "Använd digest-autentisering",
+      "useDigestAuthDescription": "Använd HTTP-sammanfattningsautentisering för ONVIF. Vissa kameror kan kräva ett dedikerat ONVIF-användarnamn/lösenord istället för standardadministratörsanvändaren."
+    },
+    "step2": {
+      "description": "Undersök kameran efter tillgängliga strömmar eller konfigurera manuella inställningar baserat på din valda detekteringsmetod.",
+      "streamsTitle": "Kameraströmmar",
+      "addStream": "Lägg till ström",
+      "addAnotherStream": "Lägg till ytterligare en ström",
+      "streamTitle": "Ström {{number}}",
+      "streamUrl": "Ström URL",
+      "streamUrlPlaceholder": "rtsp://användarnamn:lösenord@värd:portnummer/plats",
+      "url": "URL",
+      "resolution": "Upplösning",
+      "selectResolution": "Välj upplösning",
+      "quality": "Kvalitet",
+      "selectQuality": "Välj kvalitet",
+      "roles": "Roller",
+      "roleLabels": {
+        "detect": "Objektdetektering",
+        "record": "Inspelning",
+        "audio": "Ljud"
+      },
+      "testStream": "Testa anslutning",
+      "testSuccess": "Anslutningstestet lyckades!",
+      "testFailed": "Anslutningstestet misslyckades. Kontrollera dina indata och försök igen.",
+      "testFailedTitle": "Testet misslyckades",
+      "connected": "Ansluten",
+      "notConnected": "Inte ansluten",
+      "featuresTitle": "Funktioner",
+      "go2rtc": "Minska anslutningar till kameran",
+      "detectRoleWarning": "Minst en ström måste ha rollen \"upptäcka\" för att fortsätta.",
+      "rolesPopover": {
+        "title": "Ström-roller",
+        "detect": "Huvud video ström för objektdetektering.",
+        "record": "Sparar segment av videoflödet baserat på konfigurationsinställningar.",
+        "audio": "Flöde för ljudbaserad detektering."
+      },
+      "featuresPopover": {
+        "title": "Strömfunktioner",
+        "description": "Använd go2rtc-omströmning för att minska anslutningar till din kamera."
+      },
+      "streamDetails": "Streamdetaljer",
+      "probing": "Undersöker kameran...",
+      "retry": "Försöka igen",
+      "testing": {
+        "probingMetadata": "Undersöker kamerans metadata...",
+        "fetchingSnapshot": "Hämtar kamerabild..."
+      },
+      "probeFailed": "Misslyckades med att undersöka kameran: {{error}}",
+      "probingDevice": "Undersöker enheten...",
+      "probeSuccessful": "Kontroll lyckades",
+      "probeError": "Kontroll fel",
+      "probeNoSuccess": "Kontroll misslyckades",
+      "deviceInfo": "Enhetsinformation",
+      "manufacturer": "Tillverkare",
+      "model": "Modell",
+      "firmware": "Inbyggd programvara",
+      "profiles": "Profiler",
+      "ptzSupport": "PTZ-stöd",
+      "autotrackingSupport": "Stöd för Autospårning",
+      "presets": "Förinställningar",
+      "rtspCandidates": "RTSP-kandidater",
+      "rtspCandidatesDescription": "Följande RTSP-URL:er hittades från kamera kontrollen. Testa anslutningen för att visa strömmetadata.",
+      "noRtspCandidates": "Inga RTSP-URL:er hittades från kameran. Dina inloggningsuppgifter kan vara felaktiga, eller så kanske kameran inte stöder ONVIF eller metoden som används för att hämta RTSP-URL:er. Gå tillbaka och ange RTSP-URL:en manuellt.",
+      "candidateStreamTitle": "Kandidat {{number}}",
+      "useCandidate": "Använda",
+      "uriCopy": "Kopiera",
+      "uriCopied": "URI kopierad till urklipp",
+      "testConnection": "Testa anslutning",
+      "toggleUriView": "Klicka för att växla mellan fullständig URI-vy",
+      "errors": {
+        "hostRequired": "Värd-/IP-adress krävs"
+      }
+    },
+    "step3": {
+      "description": "Konfigurera strömningsroller och lägg till ytterligare strömmar för din kamera.",
+      "validationTitle": "Strömvalidering",
+      "connectAllStreams": "Anslut alla strömmar",
+      "reconnectionSuccess": "Återanslutningen lyckades.",
+      "reconnectionPartial": "Vissa strömmar kunde inte återanslutas.",
+      "streamUnavailable": "Förhandsgranskning av strömmen är inte tillgänglig",
+      "reload": "Ladda om",
+      "connecting": "Ansluter...",
+      "streamTitle": "Ström {{number}}",
+      "valid": "Giltig",
+      "failed": "Misslyckades",
+      "notTested": "Inte testad",
+      "connectStream": "Ansluta",
+      "connectingStream": "Ansluter",
+      "disconnectStream": "Koppla från",
+      "estimatedBandwidth": "Uppskattad bandbredd",
+      "roles": "Roller",
+      "none": "Ingen",
+      "error": "Fel",
+      "streamValidated": "Ström {{number}} har validerats",
+      "streamValidationFailed": "Validering av ström {{number}} misslyckades",
+      "saveAndApply": "Spara ny kamera",
+      "saveError": "Ogiltig konfiguration. Kontrollera dina inställningar.",
+      "issues": {
+        "title": "Strömvalidering",
+        "videoCodecGood": "Videokodeken är {{codec}}.",
+        "audioCodecGood": "Ljudkodeken är {{codec}}.",
+        "noAudioWarning": "Inget ljud upptäcktes för den här strömmen, inspelningarna kommer inte att ha något ljud.",
+        "audioCodecRecordError": "AAC-ljudkodeken krävs för att stödja ljud i inspelningar.",
+        "audioCodecRequired": "En ljudström krävs för att stödja ljuddetektering.",
+        "restreamingWarning": "Att minska anslutningarna till kameran för inspelningsströmmen kan öka CPU-användningen något.",
+        "dahua": {
+          "substreamWarning": "Delström 1 är låst till en låg upplösning. Många Dahua / Amcrest / EmpireTech kameror stöder ytterligare delströmmar som måste aktiveras i kamerans inställningar. Det rekommenderas att kontrollera och använda dessa strömmar om de är tillgängliga."
+        },
+        "hikvision": {
+          "substreamWarning": "Delström 1 är låst till en låg upplösning. Många Hikvision kameror stöder ytterligare delströmmar som måste aktiveras i kamerans inställningar. Det rekommenderas att kontrollera och använda dessa strömmar om de är tillgängliga."
+        },
+        "resolutionHigh": "En upplösning på {{resolution}} kan orsaka ökad resursanvändning.",
+        "resolutionLow": "En upplösning på {{resolution}} kan vara för låg för tillförlitlig detektering av små objekt."
+      },
+      "ffmpegModule": "Använd läge för strömkompatibilitet",
+      "ffmpegModuleDescription": "Om strömmen inte läses in efter flera försök, prova att aktivera detta. När det är aktiverat kommer Frigate att använda ffmpeg-modulen med go2rtc. Detta kan ge bättre kompatibilitet med vissa kameraströmmar.",
+      "streamsTitle": "Kameraströmmar",
+      "addStream": "Lägg till ström",
+      "addAnotherStream": "Lägg till ytterligare en ström",
+      "streamUrl": "Stream-URL",
+      "streamUrlPlaceholder": "rtsp://användarnamn:lösenord@värd:portnummer/plats",
+      "selectStream": "Välj en ström",
+      "searchCandidates": "Sök kandidater...",
+      "noStreamFound": "Ingen ström hittades",
+      "url": "URL",
+      "resolution": "Upplösning",
+      "selectResolution": "Välj upplösning",
+      "quality": "Kvalitet",
+      "selectQuality": "Välj kvalitet",
+      "roleLabels": {
+        "detect": "Objektdetektering",
+        "record": "Inspelning",
+        "audio": "Ljud"
+      },
+      "testStream": "Testa anslutning",
+      "testSuccess": "Streamtestet lyckades!",
+      "testFailed": "Strömtestet misslyckades",
+      "testFailedTitle": "Testet misslyckades",
+      "connected": "Ansluten",
+      "notConnected": "Inte ansluten",
+      "featuresTitle": "Funktioner",
+      "go2rtc": "Minska anslutningar till kameran",
+      "detectRoleWarning": "Minst en ström måste ha rollen \"upptäck\" för att fortsätta.",
+      "rolesPopover": {
+        "title": "Stream-roller",
+        "detect": "Huvud kamera flöde för objektdetektering.",
+        "record": "Sparar segment av videoflödet baserat på konfigurationsinställningar.",
+        "audio": "Flöde för ljudbaserad detektering."
+      },
+      "featuresPopover": {
+        "title": "Streamfunktioner",
+        "description": "Använd go2rtc-omströmning för att minska anslutningar till din kamera."
+      }
+    },
+    "step4": {
+      "description": "Slutgiltig validering och analys innan du sparar din nya kamera. Anslut varje ström innan du sparar.",
+      "validationTitle": "Ström validering",
+      "connectAllStreams": "Anslut alla strömmar",
+      "reconnectionSuccess": "Återanslutningen lyckades.",
+      "reconnectionPartial": "Vissa strömmar kunde inte återanslutas.",
+      "streamUnavailable": "Förhandsgranskning av strömmen är inte tillgänglig",
+      "reload": "Ladda om",
+      "connecting": "Ansluter...",
+      "streamTitle": "Ström {{number}}",
+      "valid": "Giltig",
+      "failed": "Misslyckades",
+      "notTested": "Inte testad",
+      "connectStream": "Ansluta",
+      "connectingStream": "Ansluter",
+      "disconnectStream": "Koppla från",
+      "estimatedBandwidth": "Uppskattad bandbredd",
+      "roles": "Roller",
+      "ffmpegModule": "Använd strömkompatibilitetsläge",
+      "ffmpegModuleDescription": "Om strömmen inte laddas efter flera försök, försök att aktivera detta. När det är aktiverat kommer Frigate att använda ffmpeg-modulen med go2rtc. Detta kan ge bättre kompatibilitet med vissa kameraströmmar.",
+      "none": "Ingen",
+      "error": "Fel",
+      "streamValidated": "Ström {{number}} har validerats",
+      "streamValidationFailed": "Validering av ström {{number}} misslyckades",
+      "saveAndApply": "Spara ny kamera",
+      "saveError": "Ogiltig konfiguration. Kontrollera dina inställningar.",
+      "issues": {
+        "title": "Ström validering",
+        "videoCodecGood": "Videokodeken är {{codec}}.",
+        "audioCodecGood": "Ljudkodeken är {{codec}}.",
+        "resolutionHigh": "En upplösning på {{resolution}} kan orsaka ökad resursanvändning.",
+        "resolutionLow": "En upplösning på {{resolution}} kan vara för låg för tillförlitlig detektering av små objekt.",
+        "noAudioWarning": "Inget ljud upptäcktes för den här strömmen, inspelningarna kommer inte att ha ljud.",
+        "audioCodecRecordError": "AAC-ljudkodeken krävs för att stödja ljud i inspelningar.",
+        "audioCodecRequired": "En ljudström krävs för att stödja ljuddetektering.",
+        "restreamingWarning": "Att minska anslutningarna till kameran för inspelningsströmmen kan öka CPU-användningen något.",
+        "brands": {
+          "reolink-rtsp": "Reolink RTSP rekommenderas inte. Aktivera HTTP i kamerans firmwareinställningar och starta om guiden.",
+          "reolink-http": "Reolink HTTP-strömmar bör använda FFmpeg för bättre kompatibilitet. Aktivera \"Använd strömkompatibilitetsläge\" för den här strömmen."
+        },
+        "dahua": {
+          "substreamWarning": "Delström 1 är låst till en låg upplösning. Många Dahua/Amcrest/EmpireTech-kameror stöder ytterligare delströmmar som måste aktiveras i kamerans inställningar. Det rekommenderas att kontrollera och använda dessa strömmar om de är tillgängliga."
+        },
+        "hikvision": {
+          "substreamWarning": "Delström 1 är låst till en låg upplösning. Många Hikvision-kameror stöder ytterligare delströmmar som måste aktiveras i kamerans inställningar. Det rekommenderas att kontrollera och använda dessa strömmar om de är tillgängliga."
+        }
+      }
+    }
+  },
+  "cameraManagement": {
+    "title": "Hantera kameror",
+    "addCamera": "Lägg till ny kamera",
+    "editCamera": "Redigera kamera:",
+    "selectCamera": "Välj en kamera",
+    "backToSettings": "Tillbaka till kamerainställningar",
+    "streams": {
+      "title": "Aktivera/avaktivera kameror",
+      "desc": "Inaktivera tillfälligt en kamera tills Frigate startar om. Om du inaktiverar en kamera helt stoppas Frigates bearbetning av kamerans strömmar. Detektering, inspelning och felsökning kommer inte att vara tillgängliga.<br /> <em>Obs! Detta inaktiverar inte go2rtc-återströmmar.</em>"
+    },
+    "cameraConfig": {
+      "add": "Lägg till kamera",
+      "edit": "Redigera kamera",
+      "description": "Konfigurera kamerainställningar inklusive strömingångar och roller.",
+      "name": "Kameranamn",
+      "nameRequired": "Kameranamn krävs",
+      "nameLength": "Kameranamnet måste vara kortare än 64 tecken.",
+      "namePlaceholder": "t.ex. ytterdörr eller Översikt över bakgård",
+      "enabled": "Aktiverad",
+      "ffmpeg": {
+        "inputs": "Ingångsströmmar",
+        "path": "Strömväg",
+        "pathRequired": "Strömväg krävs",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "Roller",
+        "rolesRequired": "Minst en roll krävs",
+        "rolesUnique": "Varje roll (ljud, detektering, inspelning) kan bara tilldelas en ström",
+        "addInput": "Lägg till inmatningsström",
+        "removeInput": "Ta bort inmatningsström",
+        "inputsRequired": "Minst en indataström krävs"
+      },
+      "go2rtcStreams": "go2rtc-strömmar",
+      "streamUrls": "Ström-URL:er",
+      "addUrl": "Lägg till URL",
+      "addGo2rtcStream": "Lägg till go2rtc-ström",
+      "toast": {
+        "success": "Kamera {{cameraName}} sparades"
+      }
+    }
+  },
+  "cameraReview": {
+    "title": "Inställningar för kameragranskning",
+    "object_descriptions": {
+      "title": "Generativa AI-objektbeskrivningar",
+      "desc": "Aktivera/inaktivera tillfälligt generativa AI-objektbeskrivningar för den här kameran. När den är inaktiverad kommer AI-genererade beskrivningar inte att begäras för spårade objekt på den här kameran."
+    },
+    "review_descriptions": {
+      "title": "Beskrivningar av generativa AI-granskningar",
+      "desc": "Tillfälligt aktivera/inaktivera genererade AI-granskningsbeskrivningar för den här kameran. När det är inaktiverat kommer AI-genererade beskrivningar inte att begäras för granskningsobjekt på den här kameran."
+    },
+    "review": {
+      "title": "Granska",
+      "desc": "Tillfälligt aktivera/avaktivera varningar och detekteringar för den här kameran tills Frigate startar om. När den är avaktiverad genereras inga nya granskningsobjekt. ",
+      "alerts": "Aviseringar ",
+      "detections": "Detektioner "
+    },
+    "reviewClassification": {
+      "title": "Granska klassificering",
+      "desc": "Frigate kategoriserar granskningsobjekt som Varningar och Detekteringar. Som standard betraktas alla <em>person</em>- och <em>bil</em>-objekt som Varningar. Du kan förfina kategoriseringen av dina granskningsobjekt genom att konfigurera obligatoriska zoner för dem.",
+      "noDefinedZones": "Inga zoner är definierade för den här kameran.",
+      "objectAlertsTips": "Alla {{alertsLabels}}-objekt på {{cameraName}} kommer att visas som Varningar.",
+      "zoneObjectAlertsTips": "Alla {{alertsLabels}} objekt som upptäcks i {{zone}} på {{cameraName}} kommer att visas som Varningar.",
+      "objectDetectionsTips": "Alla {{detectionsLabels}}-objekt som inte kategoriseras på {{cameraName}} kommer att visas som Detektioner oavsett vilken zon de befinner sig i.",
+      "zoneObjectDetectionsTips": {
+        "text": "Alla {{detectionsLabels}}-objekt som inte kategoriseras i {{zone}} på {{cameraName}} kommer att visas som Detektioner.",
+        "notSelectDetections": "Alla {{detectionsLabels}} objekt som upptäckts i {{zone}} på {{cameraName}} och som inte kategoriserats som Varningar kommer att visas som Detekteringar oavsett vilken zon de befinner sig i.",
+        "regardlessOfZoneObjectDetectionsTips": "Alla {{detectionsLabels}}-objekt som inte kategoriseras på {{cameraName}} kommer att visas som Detektioner oavsett vilken zon de befinner sig i."
+      },
+      "unsavedChanges": "Osparade inställningar för granskningsklassificering för {{camera}}",
+      "selectAlertsZones": "Välj zoner för Varningar",
+      "selectDetectionsZones": "Välj zoner för Detektioner",
+      "limitDetections": "Begränsa detektioner till specifika zoner",
+      "toast": {
+        "success": "Konfigurationen för granskning av klassificering har sparats. Starta om Frigate för att tillämpa ändringarna."
+      }
     }
   }
 }
diff --git a/web/public/locales/sv/views/system.json b/web/public/locales/sv/views/system.json
index d8f482898..27eb9b844 100644
--- a/web/public/locales/sv/views/system.json
+++ b/web/public/locales/sv/views/system.json
@@ -76,12 +76,24 @@
         }
       },
       "npuUsage": "NPU-användning",
-      "npuMemory": "NPU-minne"
+      "npuMemory": "NPU-minne",
+      "intelGpuWarning": {
+        "title": "Intel GPU statistik varning",
+        "message": "GPU statistik otillgänglig",
+        "description": "Detta är en känd bugg i Intels GPU-statistikrapporteringsverktyg (intel_gpu_top) där den slutar fungera och upprepade gånger returnerar en GPU-användning på 0 %, även i fall där hårdvaruacceleration och objektdetektering körs korrekt på (i)GPU:n. Detta är inte en Frigate-bugg. Du kan starta om värden för att tillfälligt åtgärda problemet och bekräfta att GPU:n fungerar korrekt. Detta påverkar inte prestandan."
+      }
     },
     "otherProcesses": {
       "title": "Övriga processer",
       "processCpuUsage": "Process CPU-användning",
-      "processMemoryUsage": "Processminnesanvändning"
+      "processMemoryUsage": "Processminnesanvändning",
+      "series": {
+        "go2rtc": "go2rtc",
+        "recording": "inspelning",
+        "review_segment": "granskningssegment",
+        "embeddings": "inbäddningar",
+        "audio_detector": "ljuddetektor"
+      }
     }
   },
   "storage": {
@@ -120,7 +132,7 @@
       "resolution": "Upplösning:",
       "fps": "FPS:",
       "unknown": "Okänd",
-      "audio": "Audio:",
+      "audio": "Ljud:",
       "error": "Fel: {{error}}",
       "tips": {
         "title": "Kamera sond information"
@@ -180,7 +192,17 @@
       "plate_recognition_speed": "Hastighet för igenkänning av nummerplåtar",
       "text_embedding_speed": "Textinbäddningshastighet",
       "yolov9_plate_detection_speed": "YOLOv9 nummerplåt detekterings hastighet",
-      "yolov9_plate_detection": "YOLOv9 nummerplåt detektering"
-    }
+      "yolov9_plate_detection": "YOLOv9 nummerplåt detektering",
+      "review_description": "Recensionsbeskrivning",
+      "review_description_speed": "Recensionsbeskrivning Hastighet",
+      "review_description_events_per_second": "Recensionsbeskrivning",
+      "object_description": "Objekt beskrivning",
+      "object_description_speed": "Objekt beskrivning hastighet",
+      "object_description_events_per_second": "Objekt beskrivning",
+      "classification_events_per_second": "{{name}} Klassificering Händelser per sekund",
+      "classification": "{{name}} Klassificering",
+      "classification_speed": "{{name}} Klassificeringshastighet"
+    },
+    "averageInf": "Genomsnittlig inferenstid"
   }
 }
diff --git a/web/public/locales/ta/views/classificationModel.json b/web/public/locales/ta/views/classificationModel.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ta/views/classificationModel.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/th/components/filter.json b/web/public/locales/th/components/filter.json
index aea9fc5a7..5f23f3142 100644
--- a/web/public/locales/th/components/filter.json
+++ b/web/public/locales/th/components/filter.json
@@ -82,5 +82,8 @@
       },
       "title": "การตั้งค่า"
     }
+  },
+  "classes": {
+    "label": "หมวดหมู่"
   }
 }
diff --git a/web/public/locales/th/views/classificationModel.json b/web/public/locales/th/views/classificationModel.json
new file mode 100644
index 000000000..3181c4e9f
--- /dev/null
+++ b/web/public/locales/th/views/classificationModel.json
@@ -0,0 +1,9 @@
+{
+  "documentTitle": "โมเดลการจำแนกประเภท- Frigate",
+  "details": {
+    "scoreInfo": "คะแนน (Score) คือค่าเฉลี่ยของความมั่นใจในการจำแนกประเภท (Classification Confidence) จากการตรวจจับวัตถุชิ้นนี้ในทุกๆ ครั้ง"
+  },
+  "description": {
+    "invalidName": "ชื่อไม่ถูกต้อง ชื่อสามารถประกอบได้ด้วยตัวอักษร, ตัวเลข, ช่องว่าง, เครื่องหมาย ( ' , _ , - ) เท่านั้น"
+  }
+}
diff --git a/web/public/locales/th/views/faceLibrary.json b/web/public/locales/th/views/faceLibrary.json
index 4372d09b5..c6ad3e750 100644
--- a/web/public/locales/th/views/faceLibrary.json
+++ b/web/public/locales/th/views/faceLibrary.json
@@ -43,8 +43,9 @@
   },
   "collections": "คอลเลกชัน",
   "description": {
-    "addFace": "ทำตามวิธีการเพิ่มคอลเลกชันใหม่ไปยังที่เก็บหน้า.",
-    "placeholder": "ใส่ชื่อสําหรับคอลเลกชันนี้"
+    "addFace": "เพิ่มคอลเลกชันใหม่ไปยังคลังใบหน้า โดยการอัปโหลดรูปภาพแรก",
+    "placeholder": "ใส่ชื่อสําหรับคอลเลกชันนี้",
+    "invalidName": "ชื่อไม่ถูกต้อง ชื่อสามารถประกอบได้ด้วยตัวอักษร, ตัวเลข, ช่องว่าง, เครื่องหมาย ( ' , _ , - ) เท่านั้น"
   },
   "toast": {
     "success": {
diff --git a/web/public/locales/th/views/system.json b/web/public/locales/th/views/system.json
index 2084d91a3..fd0010fdd 100644
--- a/web/public/locales/th/views/system.json
+++ b/web/public/locales/th/views/system.json
@@ -55,5 +55,10 @@
   "stats": {
     "cameraIsOffline": "{{camera}} ออฟไลน์",
     "detectIsVerySlow": "{{detect}} ช้ามาก ({{speed}} มิลลิวินาที)"
+  },
+  "documentTitle": {
+    "cameras": "ข้อมูลกล้อง - Frigate",
+    "storage": "สถิติคลังข้อมูล - Frigate",
+    "general": "สถิติทั่วไป - Frigate"
   }
 }
diff --git a/web/public/locales/tr/audio.json b/web/public/locales/tr/audio.json
index 6364c8dcd..34a6f366f 100644
--- a/web/public/locales/tr/audio.json
+++ b/web/public/locales/tr/audio.json
@@ -32,7 +32,7 @@
   "sheep": "koyun",
   "train": "tren",
   "hair_dryer": "saç kurutma makinesi",
-  "babbling": "aguşlama",
+  "babbling": "Agulama",
   "snicker": "kıkırdama",
   "sigh": "iç çekme",
   "bellow": "haykırma",
@@ -425,5 +425,79 @@
   "radio": "radyo",
   "field_recording": "alan kaydı",
   "scream": "çığlık",
-  "jingle_bell": "küçük çan"
+  "jingle_bell": "küçük çan",
+  "sodeling": "Jodel (Yodeling)",
+  "chird": "Cıvıltı",
+  "change_ringing": "Sıralı Çan Çalma",
+  "shofar": "Şofar",
+  "liquid": "Sıvı",
+  "splash": "Su Sıçraması",
+  "slosh": "Çalkalanma",
+  "squish": "Vıcıklama (Islak Ezilme)",
+  "drip": "Damlama",
+  "pour": "Dökülme",
+  "trickle": "Şırıldama / İnce Akış",
+  "gush": "Fışkırma",
+  "fill": "Doldurma",
+  "spray": "Püskürtme / Sprey",
+  "pump": "Pompalama",
+  "stir": "Karıştırma",
+  "boiling": "Kaynama",
+  "sonar": "Sonar Sesi",
+  "arrow": "Ok Sesi",
+  "whoosh": "Hışırtı (Hızlı Geçiş Sesi)",
+  "thump": "Küt Sesi (Boğuk)",
+  "thunk": "Tok Ses",
+  "electronic_tuner": "Elektronik Akort Cihazı",
+  "effects_unit": "Efekt Ünitesi",
+  "chorus_effect": "Chorus (Koro) Efekti",
+  "basketball_bounce": "Basketbol Topu Sektirme",
+  "bang": "Gümleme / Patlama",
+  "slap": "Tokat / Şaplak",
+  "whack": "Sert Vuruş / Kütletme",
+  "smash": "Parçalanma",
+  "breaking": "Kırılma",
+  "bouncing": "Sekme / Zıplama",
+  "whip": "Kırbaç",
+  "flap": "Kanat Çırpma / Pırpır Etme",
+  "scratch": "Tırmalama / Cızırtı",
+  "scrape": "Kazıma / Sürtünme",
+  "rub": "Ovma / Sürtme",
+  "roll": "Yuvarlanma",
+  "crushing": "Ezilme (Kuru/Sert)",
+  "crumpling": "Buruşturma",
+  "tearing": "Yırtılma",
+  "beep": "Bip Sesi",
+  "ping": "Ping Sesi (Çınlama)",
+  "ding": "Ding (Zil Sesi)",
+  "clang": "Çangırtı (Metalik)",
+  "squeal": "Ciyaklama / Acı Gıcırtı",
+  "creak": "Gıcırdama (Tahta/Kapı)",
+  "rustle": "Hışırtı (Kağıt/Yaprak)",
+  "whir": "Vızıltı (Motor/Pervane)",
+  "clatter": "Takırtı",
+  "sizzle": "Cızırdayarak Kızarma",
+  "clicking": "Tıklama",
+  "clickety_clack": "Takır Tukur Sesi",
+  "rumble": "Gürleme / Gümbürtü",
+  "plop": "Lup Sesi (Suya düşme)",
+  "hum": "Uğultu / Mırıldanma",
+  "zing": "Vınlama",
+  "boing": "Boing (Yay Sesi)",
+  "crunch": "Kıtırdatma / Çıtırdatma",
+  "sine_wave": "Sinüs Dalgası",
+  "harmonic": "Harmonik",
+  "chirp_tone": "Cıvıltı Tonu (Sinyal)",
+  "pulse": "Darbe / Pulse",
+  "inside": "İç Mekan",
+  "outside": "Dış Mekan",
+  "reverberation": "Yankılanım (Reverb)",
+  "echo": "Yankı",
+  "noise": "Gürültü",
+  "mains_hum": "Şebeke Uğultusu (Elektrik)",
+  "distortion": "Bozulma / Distorsiyon",
+  "sidetone": "Yan Ton",
+  "cacophony": "Kakofoni (Ses Kargaşası)",
+  "throbbing": "Zonklama",
+  "vibration": "Titreşim"
 }
diff --git a/web/public/locales/tr/common.json b/web/public/locales/tr/common.json
index 977ef88cf..c38ffa37d 100644
--- a/web/public/locales/tr/common.json
+++ b/web/public/locales/tr/common.json
@@ -81,7 +81,10 @@
     "formattedTimestampMonthDayYear": {
       "12hour": "d MMM, yyyy",
       "24hour": "d MMM, yyyy"
-    }
+    },
+    "inProgress": "Devam ediyor",
+    "invalidStartTime": "Geçersiz başlangıç zamanı",
+    "invalidEndTime": "Geçersiz bitiş zamanı"
   },
   "button": {
     "off": "KAPALI",
@@ -118,7 +121,8 @@
     "cancel": "İptal",
     "twoWayTalk": "Çift Yönlü Ses",
     "close": "Kapat",
-    "delete": "Sil"
+    "delete": "Sil",
+    "continue": "Devam Et"
   },
   "menu": {
     "systemLogs": "Sistem günlükleri",
@@ -219,10 +223,17 @@
     "help": "Yardım",
     "faceLibrary": "Yüz Veritabanı",
     "systemMetrics": "Sistem metrikleri",
-    "uiPlayground": "UI Deneme Alanı"
+    "uiPlayground": "UI Deneme Alanı",
+    "classification": "Sınıflandırma"
   },
   "label": {
-    "back": "Geri"
+    "back": "Geri",
+    "hide": "{{item}} öğesini gizle",
+    "show": "{{item}} öğesini göster",
+    "ID": "ID",
+    "none": "Hiçbiri",
+    "all": "Tümü",
+    "other": "Diğer"
   },
   "notFound": {
     "documentTitle": "Bulunamadı - Frigate",
@@ -237,6 +248,14 @@
     "length": {
       "feet": "feet",
       "meters": "metre"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/saat",
+      "mbph": "MB/saat",
+      "gbph": "GB/saat"
     }
   },
   "pagination": {
@@ -273,5 +292,17 @@
     "admin": "Yönetici",
     "desc": "Yöneticiler Frigate arayüzündeki bütün özelliklere tam erişim sahibidir. Görüntüleyiciler ise yalnızca kameraları, eski görüntüleri ve inceleme öğelerini görüntülemekle sınırlıdır."
   },
-  "readTheDocumentation": "Dökümantasyonu oku"
+  "readTheDocumentation": "Dökümantasyonu oku",
+  "list": {
+    "two": "{{0}} ve {{1}}",
+    "many": "{{items}} ve {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "İsteğe bağlı",
+    "internalID": "Frigate’ın yapılandırma ve veritabanında kullandığı Dahili Kimlik"
+  },
+  "information": {
+    "pixels": "{{area}}px"
+  }
 }
diff --git a/web/public/locales/tr/components/auth.json b/web/public/locales/tr/components/auth.json
index dbc444b05..b66836bae 100644
--- a/web/public/locales/tr/components/auth.json
+++ b/web/public/locales/tr/components/auth.json
@@ -10,6 +10,7 @@
       "rateLimit": "İstek sınırı aşıldı. Daha sonra tekrar deneyin.",
       "unknownError": "Bilinmeyen hata. Günlükleri kontrol edin."
     },
-    "user": "Kullanıcı Adı"
+    "user": "Kullanıcı Adı",
+    "firstTimeLogin": "İlk kez giriş yapmayı mı deniyorsunuz? Giriş bilgileri Frigate günlüklerinde görüntülenir."
   }
 }
diff --git a/web/public/locales/tr/components/dialog.json b/web/public/locales/tr/components/dialog.json
index a4d7df98c..35fe45170 100644
--- a/web/public/locales/tr/components/dialog.json
+++ b/web/public/locales/tr/components/dialog.json
@@ -59,12 +59,13 @@
     "export": "Dışa Aktar",
     "selectOrExport": "Seç veya Dışa Aktar",
     "toast": {
-      "success": "Dışa aktarım başladı. Dosyaya /exports klasöründe veya Dışa Aktar sekmesinden ulaşabilirsiniz.",
+      "success": "Dışa aktarma başarıyla başlatıldı. Dosyayı dışa aktarmalar sayfasında görüntüleyebilirsiniz.",
       "error": {
         "failed": "Dışa aktarım başlatılamadı: {{error}}",
         "endTimeMustAfterStartTime": "Bitiş zamanı başlangıç zamanından sonra olmalıdır",
         "noVaildTimeSelected": "Geçerli bir zaman aralığı seçilmedi"
-      }
+      },
+      "view": "Görüntüle"
     },
     "fromTimeline": {
       "saveExport": "Dışa Aktarımı Kaydet",
@@ -117,7 +118,8 @@
     "button": {
       "export": "Dışa Aktar",
       "markAsReviewed": "İncelendi olarak işaretle",
-      "deleteNow": "Şimdi Sil"
+      "deleteNow": "Şimdi Sil",
+      "markAsUnreviewed": "Gözden geçirilmedi olarak işaretle"
     }
   },
   "imagePicker": {
@@ -125,6 +127,7 @@
     "noImages": "Bu kamera için küçük resim bulunamadı",
     "search": {
       "placeholder": "Etiket/alt etiket kullanarak arama yapın..."
-    }
+    },
+    "unknownLabel": "Kaydedilen Tetikleme Görseli"
   }
 }
diff --git a/web/public/locales/tr/components/filter.json b/web/public/locales/tr/components/filter.json
index c71110beb..ef178d4a0 100644
--- a/web/public/locales/tr/components/filter.json
+++ b/web/public/locales/tr/components/filter.json
@@ -133,5 +133,9 @@
     "all": {
       "title": "Tüm Sınıflar"
     }
+  },
+  "attributes": {
+    "label": "Sınıflandırma Özellikleri",
+    "all": "Tüm Özellikler"
   }
 }
diff --git a/web/public/locales/tr/views/classificationModel.json b/web/public/locales/tr/views/classificationModel.json
new file mode 100644
index 000000000..2081188aa
--- /dev/null
+++ b/web/public/locales/tr/views/classificationModel.json
@@ -0,0 +1,188 @@
+{
+  "documentTitle": "Sınıflandırma Modelleri - Frigate",
+  "details": {
+    "scoreInfo": "Skor, modelin nesneyi tespit ettiği tüm durumlar için ortalama güven düzeyini gösterir.",
+    "none": "Hiçbiri",
+    "unknown": "Bilinmiyor"
+  },
+  "button": {
+    "deleteClassificationAttempts": "Sınıflandırma Fotoğraflarını Sil",
+    "renameCategory": "Sınıfı Yeniden Adlandır",
+    "deleteCategory": "Sınıfı Sil",
+    "deleteImages": "Fotoğrafları Sil",
+    "trainModel": "Modeli Eğit",
+    "addClassification": "Sınıflandırma Ekle",
+    "deleteModels": "Modelleri Sil",
+    "editModel": "Modeli Düzenle"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Silinmiş Sınıf",
+      "deletedImage": "Silinmiş Fotoğraflar",
+      "deletedModel_one": "{{count}} model başarıyla silindi",
+      "deletedModel_other": "{{count}} model başarıyla silindi",
+      "categorizedImage": "Fotoğraf Başarıyla Sınıflandırıldı",
+      "trainedModel": "Model başarıyla eğitildi.",
+      "trainingModel": "Model eğitimi başarıyla başladı.",
+      "updatedModel": "Model yapılandırması başarıyla güncellendi",
+      "renamedCategory": "Sınıf başarıyla {{name}} olarak yeniden adlandırıldı"
+    },
+    "error": {
+      "deleteImageFailed": "Silinemedi: {{errorMessage}}",
+      "deleteModelFailed": "Model silinemedi: {{errorMessage}}",
+      "categorizeFailed": "Görsel sınıflandırılamadı: {{errorMessage}}",
+      "trainingFailed": "Model eğitimi başarısız oldu. Ayrıntılar için Frigate günlüklerini kontrol edin.",
+      "deleteCategoryFailed": "Sınıf silinemedi: {{errorMessage}}",
+      "trainingFailedToStart": "Model eğitimi başlatılamadı: {{errorMessage}}",
+      "updateModelFailed": "Model güncellenemedi: {{errorMessage}}",
+      "renameCategoryFailed": "Sınıf yeniden adlandırılamadı: {{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "Sınıfı Sil",
+    "desc": "{{name}} adlı sınıfı silmek istediğinizden emin misiniz? Bu işlem, sınıfa ait tüm görselleri kalıcı olarak silecek ve modelin yeniden eğitilmesini gerektirecektir.",
+    "minClassesTitle": "Sınıf Silinemiyor",
+    "minClassesDesc": "Bu sınıfı silmeden önce bir sınıflandırma modelinin en az 2 sınıfa sahip olması gerekir. Bu sınıfı silmeden önce başka bir sınıf ekleyin."
+  },
+  "deleteModel": {
+    "title": "Sınıflandırma Modelini Sil",
+    "single": "{{name}} öğesini silmek istediğinizden emin misiniz? Bu işlem, görseller ve eğitim verileri dâhil olmak üzere tüm ilişkili verileri kalıcı olarak silecektir. Bu işlem geri alınamaz.",
+    "desc_one": "{{count}} modeli silmek istediğinizden emin misiniz? Bu işlem, görseller ve eğitim verileri dâhil olmak üzere tüm ilişkili verileri kalıcı olarak silecektir. Bu işlem geri alınamaz.",
+    "desc_other": "{{count}} modeli silmek istediğinizden emin misiniz? Bu işlem, görseller ve eğitim verileri dâhil olmak üzere tüm ilişkili verileri kalıcı olarak silecektir. Bu işlem geri alınamaz."
+  },
+  "deleteDatasetImages": {
+    "title": "Eğitim verisi görsellerini sil",
+    "desc_one": "{{dataset}} veri kümesinden {{count}} görseli silmek istediğinizden emin misiniz? Bu işlem geri alınamaz ve modelin yeniden eğitilmesini gerektirir.",
+    "desc_other": "{{dataset}} veri kümesinden {{count}} görseli silmek istediğinizden emin misiniz? Bu işlem geri alınamaz ve modelin yeniden eğitilmesini gerektirir."
+  },
+  "deleteTrainImages": {
+    "title": "Eğitim Görsellerini Sil",
+    "desc_one": "{{count}} görseli silmek istediğinizden emin misiniz? Bu işlem geri alınamaz.",
+    "desc_other": "{{count}} görseli silmek istediğinizden emin misiniz? Bu işlem geri alınamaz."
+  },
+  "renameCategory": {
+    "title": "Sınıfı Yeniden Adlandır",
+    "desc": "{{name}} için yeni bir ad girin. Ad değişikliğinin geçerli olması için modeli yeniden eğitmeniz gerekecektir."
+  },
+  "description": {
+    "invalidName": "Geçersiz isim. İsimler; yalnızca harf, rakam, boşluk, kesme işareti (’), alt çizgi(_) ve tire (-) içerebilir."
+  },
+  "train": {
+    "title": "Son Sınıflandırmalar",
+    "titleShort": "Son",
+    "aria": "Son Sınıflandırmaları Seç"
+  },
+  "categories": "Sınıflar",
+  "createCategory": {
+    "new": "Yeni Sınıf Oluştur"
+  },
+  "categorizeImageAs": "Görseli Şu Şekilde Sınıflandır:",
+  "categorizeImage": "Görseli Sınıflandır",
+  "menu": {
+    "objects": "Nesneler",
+    "states": "Durumlar"
+  },
+  "noModels": {
+    "object": {
+      "title": "Nesne sınıflandırma modeli mevcut değil",
+      "description": "Algılanan nesneleri sınıflandırmak için özel bir model oluşturun.",
+      "buttonText": "Nesne Modeli Oluştur"
+    },
+    "state": {
+      "title": "Durum Sınıflandırma Modeli Yok",
+      "description": "Belirli kamera alanlarındaki durum değişimlerini izlemek ve sınıflandırmak için özel bir model oluşturun.",
+      "buttonText": "Durum Modeli Oluştur"
+    }
+  },
+  "tooltip": {
+    "trainingInProgress": "Model şu anda eğitiliyor",
+    "noNewImages": "Eğitilecek yeni görsel bulunmuyor. Önce veri kümesinde daha fazla görseli sınıflandırın.",
+    "noChanges": "Son eğitimden bu yana veri kümesinde herhangi bir değişiklik yapılmadı.",
+    "modelNotReady": "Model eğitim için hazır değil"
+  },
+  "edit": {
+    "title": "Sınıflandırma Modelini Düzenle",
+    "descriptionState": "Bu durum sınıflandırma modeli için sınıfları düzenleyin. Değişiklikler, modelin yeniden eğitilmesini gerektirecektir.",
+    "descriptionObject": "Bu nesne sınıflandırma modeli için nesne türünü ve sınıflandırma türünü düzenleyin.",
+    "stateClassesInfo": "Not: Durum sınıflarını değiştirmek, modelin güncellenmiş sınıflarla yeniden eğitilmesini gerektirir."
+  },
+  "wizard": {
+    "title": "Yeni Sınıflandırma Oluştur",
+    "steps": {
+      "nameAndDefine": "İsim ver ve Tanımla",
+      "stateArea": "Durum Alanı",
+      "chooseExamples": "Örnekleri Seç"
+    },
+    "step1": {
+      "description": "Durum modelleri, sabit kamera alanlarındaki değişiklikleri (ör. kapının açılması/kapanması) izler. Nesne modelleri ise algılanan nesnelere ek sınıflandırmalar ekler (ör. bilinen hayvanlar, kuryeler vb.).",
+      "name": "İsim",
+      "namePlaceholder": "Model ismi girin...",
+      "type": "Tür",
+      "typeState": "Durum",
+      "typeObject": "Nesne",
+      "objectLabel": "Nesne Etiketi",
+      "objectLabelPlaceholder": "Nesne türünü seçin...",
+      "classificationType": "Sınıflandırma Türü",
+      "classificationTypeTip": "Sınıflandırma türleri hakkında bilgi edinin",
+      "classificationTypeDesc": "Alt etiketler, nesne etiketine ek olarak saklanır (örneğin: “Person: UPS”). Öznitelikler(attributes) ise nesne meta verilerinde saklanan aranabilir meta verilerdir.",
+      "classificationSubLabel": "Alt Etiket",
+      "classificationAttribute": "Özellik",
+      "classes": "Sınıflar",
+      "states": "Durumlar",
+      "classesTip": "Sınıflar hakkında bilgi edinin",
+      "classesStateDesc": "Kamera alanınızın içinde bulunabileceği farklı durumları tanımlayın. Örneğin: bir garaj kapısı için ‘açık’ ve ‘kapalı’.",
+      "classesObjectDesc": "Algılanan nesneleri sınıflandırmak için farklı kategorileri tanımlayın. Örneğin: Bir kişi sınıflandırması için \"kurye\", \"bahçıvan\" veya \"yabancı\" olabilir.",
+      "classPlaceholder": "Sınıf ismi girin...",
+      "errors": {
+        "nameRequired": "Model ismi gereklidir",
+        "nameLength": "Model ismi en fazla 64 karakter olmalıdır",
+        "nameOnlyNumbers": "Model ismi yalnızca rakamlardan oluşamaz",
+        "classRequired": "En az 1 sınıf gereklidir",
+        "classesUnique": "Sınıf isimleri benzersiz olmalıdır",
+        "stateRequiresTwoClasses": "Durum modelleri en az 2 sınıf gerektirir",
+        "objectLabelRequired": "Lütfen bir nesne etiketi seçin",
+        "objectTypeRequired": "Lütfen bir sınıflandırma türü seçin",
+        "noneNotAllowed": "'none' sınıfına izin verilmiyor"
+      }
+    },
+    "step2": {
+      "description": "İzlenecek alanı her kamera için seçin ve tanımlayın. Model bu alanların durumunu sınıflandıracaktır.",
+      "cameras": "Kameralar",
+      "selectCamera": "Kamera Seç",
+      "noCameras": "Kameraları eklemek için + simgesine tıklayın",
+      "selectCameraPrompt": "Listedeki bir kamerayı seçerek izlenecek alanı tanımlayın"
+    },
+    "step3": {
+      "selectImagesPrompt": "{{className}} etiketli tüm görselleri seç",
+      "selectImagesDescription": "Görselleri seçmek için üzerlerine tıklayın. Bu sınıfla işiniz bittiğinde Devam Et’e tıklayın.",
+      "allImagesRequired_one": "Lütfen tüm görselleri sınıflandırın. Bir görsel kaldı.",
+      "allImagesRequired_other": "Lütfen tüm görselleri sınıflandırın. {{count}} görsel kaldı.",
+      "generating": {
+        "title": "Örnek Görseller Oluşturuluyor",
+        "description": "Frigate kayıtlarınızdan temsili görüntüler alınıyor. Bu işlem biraz zaman alabilir…"
+      },
+      "training": {
+        "title": "Model Eğitiliyor",
+        "description": "Modeliniz arka planda eğitiliyor. Bu pencereyi kapatabilirsiniz; eğitim tamamlandığında model otomatik olarak çalışmaya başlayacaktır."
+      },
+      "retryGenerate": "Oluşturmayı Yeniden Dene",
+      "noImages": "Örnek görsel oluşturulamadı",
+      "classifying": "Sınıflandırılıyor ve Eğitiliyor...",
+      "trainingStarted": "Eğitim başarıyla başlatıldı",
+      "modelCreated": "Model başarıyla oluşturuldu. Eksik durumlar için görseller eklemek üzere Son Sınıflandırmalar görünümünü kullanın ve ardından modeli eğitin.",
+      "errors": {
+        "noCameras": "Hiç kamera yapılandırılmadı",
+        "noObjectLabel": "Nesne etiketi seçilmedi",
+        "generateFailed": "Örnekler oluşturulamadı: {{error}}",
+        "generationFailed": "Oluşturma başarısız oldu. Lütfen tekrar deneyin.",
+        "classifyFailed": "Görseller sınıflandırılamadı: {{error}}"
+      },
+      "generateSuccess": "Örnek görseller başarıyla oluşturuldu",
+      "missingStatesWarning": {
+        "title": "Eksik Durum Örnekleri",
+        "description": "En iyi sonuçlar için her bir durum için örnek görseller seçmeniz tavsiye edilir. Tüm durumlar için görsel seçmeden devam edebilirsiniz fakat tüm durumlar için görseller seçilmedikçe model eğitilemeyecektir. Son Sınıflandırmalar arayüzünü kullanarak görselleri sınıflandırmak üzere görüntüleyebilir, yeterince görsel seçildikten sonra da modeli eğitebilirsiniz."
+      }
+    }
+  },
+  "none": "Yok"
+}
diff --git a/web/public/locales/tr/views/events.json b/web/public/locales/tr/views/events.json
index c1a821407..d0d30072a 100644
--- a/web/public/locales/tr/views/events.json
+++ b/web/public/locales/tr/views/events.json
@@ -1,11 +1,15 @@
 {
   "camera": "kamera",
-  "alerts": "Alarmlar",
+  "alerts": "Uyarılar",
   "detections": "Tespitler",
   "empty": {
     "detection": "İncelenecek tespit öğesi yok",
-    "alert": "İncelenecek alarm öğesi yok",
-    "motion": "Hareket verisi bulunamadı"
+    "alert": "İncelenecek uyarı öğesi yok",
+    "motion": "Hareket verisi bulunamadı",
+    "recordingsDisabled": {
+      "title": "Kayıt özelliği etkinleştirilmelidir",
+      "description": "İnceleme öğeleri yalnızca bir kamera için kayıt özelliği etkinleştirildiğinde oluşturulabilir."
+    }
   },
   "timeline": "Zaman şeridi",
   "events": {
@@ -36,5 +40,28 @@
   "selected_other": "{{count}} seçildi",
   "detected": "algılandı",
   "suspiciousActivity": "Şüpheli Etkinlik",
-  "threateningActivity": "Tehlikeli Etkinlik"
+  "threateningActivity": "Tehlikeli Etkinlik",
+  "zoomIn": "Büyüt",
+  "zoomOut": "Küçült",
+  "detail": {
+    "label": "Detay",
+    "aria": "Ayrıntı görünümünü aç/kapat",
+    "trackedObject_one": "{{count}} nesne",
+    "trackedObject_other": "{{count}} nesne",
+    "noObjectDetailData": "Nesneye ait ayrıntılı veri bulunmuyor.",
+    "settings": "Ayrıntılı Görünüm Ayarları",
+    "alwaysExpandActive": {
+      "title": "Etkin olanı her zaman genişlet",
+      "desc": "Varsa, etkin inceleme öğesinin nesne ayrıntılarını daima göster."
+    },
+    "noDataFound": "İncelenecek ayrıntılı veri bulunmuyor"
+  },
+  "objectTrack": {
+    "trackedPoint": "Takip edilen nokta",
+    "clickToSeek": "Bu zamana atlamak için tıklayın"
+  },
+  "normalActivity": "Normal",
+  "needsReview": "İnceleme Gerekiyor",
+  "securityConcern": "Güvenlik endişesi",
+  "select_all": "Tümü"
 }
diff --git a/web/public/locales/tr/views/explore.json b/web/public/locales/tr/views/explore.json
index ce9466741..60aa8648c 100644
--- a/web/public/locales/tr/views/explore.json
+++ b/web/public/locales/tr/views/explore.json
@@ -10,7 +10,7 @@
         "viewInExplore": "Keşfet'te Görüntüle"
       },
       "tips": {
-        "hasMissingObjects": "Eğer Frigate'in <em>{{objects}}</em> etiketine sahip nesneleri kaydetmesini istiyorsanız yapılandırmanızı buna göre ayarlayın.",
+        "hasMissingObjects": "Eğer Frigate'in <em>{{objects}}</em> etiketine sahip nesneleri kaydetmesini istiyorsanız yapılandırmanızı buna göre ayarlayın",
         "mismatch_one": "Tespit edilmiş olan bir nesne bu İncele öğesine dahil edildi. Bu nesne Alarm veya Tespit olarak derecelendirilemedi veya çoktan silindi/temizlendi.",
         "mismatch_other": "Tespit edilmiş olan {{count}} adet nesne bu İncele öğesine dahil edildi. Bu nesneler Alarm veya Tespit olarak derecelendirilemedi veya çoktan silindi/temizlendi."
       },
@@ -19,13 +19,15 @@
           "updatedSublabel": "Alt etiket başarıyla gücellendi.",
           "regenerate": "Yeni bir açıklama {{provider}} sağlayıcısından talep edildi. Sağlayıcının hızına bağlı olarak yeni açıklamanın oluşturulması biraz zaman alabilir.",
           "updatedLPR": "Plaka başarıyla güncellendi.",
-          "audioTranscription": "Ses çözümlemesi başarıyla talep edildi."
+          "audioTranscription": "Ses dökümü başarıyla istendi. Frigate sunucun­uzun hızına bağlı olarak döküm işlemi tamamlanması biraz zaman alabilir.",
+          "updatedAttributes": "Özellikler başarıyla güncellendi."
         },
         "error": {
           "updatedSublabelFailed": "Alt etiket güncellenemedi: {{errorMessage}}",
           "regenerate": "{{provider}} sağlayıcısından yeni açıklama talep edilemedi: {{errorMessage}}",
           "updatedLPRFailed": "Plaka güncellenemedi: {{errorMessage}}",
-          "audioTranscription": "Ses çözümlemesi talep edilemedi: {{errorMessage}}"
+          "audioTranscription": "Ses çözümlemesi talep edilemedi: {{errorMessage}}",
+          "updatedAttributesFailed": "Öznitelikler güncellenemedi: {{errorMessage}}"
         }
       }
     },
@@ -73,6 +75,14 @@
     },
     "score": {
       "label": "Skor"
+    },
+    "editAttributes": {
+      "title": "Özellikleri düzenle",
+      "desc": "Bu {{label}} için sınıflandırma özelliklerini seçin"
+    },
+    "attributes": "Sınıflandırma Özellikleri",
+    "title": {
+      "label": "Başlık"
     }
   },
   "generativeAI": "Üretken Yapay Zeka",
@@ -109,7 +119,9 @@
     "details": "detaylar",
     "object_lifecycle": "nesne yaşam döngüsü",
     "snapshot": "fotoğraf",
-    "video": "video"
+    "video": "video",
+    "thumbnail": "küçük resim",
+    "tracking_details": "izleme ayrıntıları"
   },
   "objectLifecycle": {
     "title": "Nesne Yaşam Döngüsü",
@@ -195,6 +207,20 @@
     "audioTranscription": {
       "label": "Çözümle",
       "aria": "Ses çözümlemesi iste"
+    },
+    "downloadCleanSnapshot": {
+      "label": "Temiz anlık görüntüyü indir",
+      "aria": "Temiz anlık görüntüyü indir"
+    },
+    "viewTrackingDetails": {
+      "label": "Takip ayrıntılarını görüntüle",
+      "aria": "Takip ayrıntılarını göster"
+    },
+    "showObjectDetails": {
+      "label": "Nesne yolunu göster"
+    },
+    "hideObjectDetails": {
+      "label": "Nesne yolunu gizle"
     }
   },
   "noTrackedObjects": "Takip Edilen Nesne Bulunamadı",
@@ -206,11 +232,13 @@
         "success": "Takip edilen nesne başarıyla silindi."
       }
     },
-    "tooltip": "Eşleşme: {{type}} (%{{confidence}})"
+    "tooltip": "Eşleşme: {{type}} (%{{confidence}})",
+    "previousTrackedObject": "Önceki izlenen nesne",
+    "nextTrackedObject": "Sonraki izlenen nesne"
   },
   "dialog": {
     "confirmDelete": {
-      "desc": "Bu takip edilen nesneyi silmek nesne fotoğrafını, ilişkili gömüyü ve ilişkili yaşam döngüsü kayıtlarını siler. Video kayıt görüntüleri geçmiş görünümünden <em>SİLİNMEYECEKTİR.</em> <br /><br />Devam etmek istediğinize emin misiniz?",
+      "desc": "Bu takip edilen nesneyi silmek anlık görüntüyü, kaydedilmiş gömü verilerini ve ilişkili yaşam döngüsü kayıtlarını siler. Geçmiş görünümündeki bu izlenen nesneye ait kayıtlı video görüntüleri <em>SİLİNMEYECEKTİR.</em> <br /><br />Devam etmek istediğinizden emin misiniz?",
       "title": "Silmeyi onayla"
     }
   },
@@ -219,5 +247,57 @@
   "exploreMore": "Daha fazla {{label}} nesnesini keşfet",
   "aiAnalysis": {
     "title": "Yapay Zeka Analizi"
+  },
+  "trackingDetails": {
+    "title": "Takip Ayrıntıları",
+    "noImageFound": "Bu zaman damgasına ait bir görsel bulunamadı.",
+    "createObjectMask": "Nesne Maskesi Oluştur",
+    "adjustAnnotationSettings": "Etiketleme ayarlarını düzenle",
+    "scrollViewTips": "Bu nesnenin yaşam döngüsündeki önemli olayları görmek için tıklayın.",
+    "autoTrackingTips": "Otomatik takip yapan kameralar için sınır kutusu konumları doğru olmayabilir.",
+    "count": "{{second}}’den {{first}}",
+    "trackedPoint": "Takip edilen nokta",
+    "lifecycleItemDesc": {
+      "visible": "{{label}} tespit edildi",
+      "entered_zone": "{{label}}, {{zones}} bölgesine girdi",
+      "active": "{{label}} etkin hale geldi",
+      "stationary": "{{label}} sabit hale geldi",
+      "attribute": {
+        "faceOrLicense_plate": "{{label}} için {{attribute}} tespit edildi",
+        "other": "{{label}}, {{attribute}} olarak tanındı"
+      },
+      "gone": "{{label}} ayrıldı",
+      "heard": "{{label}} duyuldu",
+      "external": "{{label}} tespit edildi",
+      "header": {
+        "zones": "Bölgeler",
+        "ratio": "Oran",
+        "area": "Alan",
+        "score": "Skor"
+      }
+    },
+    "annotationSettings": {
+      "title": "Etiketleme Ayarları",
+      "showAllZones": {
+        "title": "Tüm Bölgeleri Göster",
+        "desc": "Herhangi bir bölgeye nesne girdiğinde, o karede bölgeleri her zaman göster."
+      },
+      "offset": {
+        "label": "Etiket Kaydırma Değeri",
+        "desc": "Bu veriler kameranızın algılama akışından gelir ancak kayıt akışındaki görüntülerin üzerine bindirilir. İki akış tamamen eşzamanlı olmayabilir, bu durum da sınır kutusu ile görüntünün hizasını kaydırabilir. Bu ayarı kullanarak zaman senkronunu ileri veya geri kaydırarak kayıt akışını ve etiketlemeleri hizalayabilirsiniz.",
+        "millisecondsToOffset": "Algılama etiketlemelerinin kaydırılacağı milisaniye değeri. <em>Varsayılan: 0</em>",
+        "tips": "Videonun oynatımı kutulardan ve yol noktalarından öndeyse değeri düşürün; geride kalıyorsa değeri artırın. Bu değer negatif olabilir.",
+        "toast": {
+          "success": "{{camera}} için etiketleme zaman kaydırması yapılandırma dosyasına kaydedildi."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Önceki slayt",
+      "next": "Sonraki slayt"
+    }
+  },
+  "concerns": {
+    "label": "Endişeler"
   }
 }
diff --git a/web/public/locales/tr/views/exports.json b/web/public/locales/tr/views/exports.json
index 3a1d19512..0c8fec129 100644
--- a/web/public/locales/tr/views/exports.json
+++ b/web/public/locales/tr/views/exports.json
@@ -13,5 +13,11 @@
       "renameExportFailed": "Dışa aktarım adlandırılamadı: {{errorMessage}}"
     }
   },
-  "noExports": "Dışa aktarım bulunamadı"
+  "noExports": "Dışa aktarım bulunamadı",
+  "tooltip": {
+    "shareExport": "Dışa aktarmayı paylaş",
+    "downloadVideo": "Videoyu İndir",
+    "editName": "İsmi Düzenle",
+    "deleteExport": "Dışa Aktarmayı Sil"
+  }
 }
diff --git a/web/public/locales/tr/views/faceLibrary.json b/web/public/locales/tr/views/faceLibrary.json
index 428d6eaf2..1417eff6d 100644
--- a/web/public/locales/tr/views/faceLibrary.json
+++ b/web/public/locales/tr/views/faceLibrary.json
@@ -2,8 +2,8 @@
   "selectItem": "{{item}} seçin",
   "description": {
     "placeholder": "Bu koleksiyona bir isim verin",
-    "addFace": "Yüz Kütüphanesi’ne yeni bir koleksiyon ekleme adımlarını takip edin.",
-    "invalidName": "Geçersiz isim. İsimlerde yalnızca harf, sayı, boşluk, kesme işareti, tire veya alt çizgi kullanılabilir."
+    "addFace": "İlk görselinizi yükleyerek Yüz Kütüphanesi’ne yeni bir koleksiyon ekleyin.",
+    "invalidName": "Geçersiz isim. İsimler; yalnızca harf, rakam, boşluk, kesme işareti (’), alt çizgi(_) ve tire (-) içerebilir."
   },
   "details": {
     "person": "İnsan",
@@ -13,7 +13,7 @@
     "face": "Yüz Detayları",
     "scoreInfo": "Alt etiket skoru, tanınan tüm yüzlerin güvenilirlik değerlerinin ağırlıklı ortalamasından elde edilir, dolayısıyla fotoğraf üzerinde gösterilen skordan farklı olabilir.",
     "subLabelScore": "Alt Etiket Puanı",
-    "unknown": "Bilinmeyen"
+    "unknown": "Bilinmiyor"
   },
   "documentTitle": "Yüz Kütüphanesi - Frigate",
   "uploadFaceImage": {
@@ -24,12 +24,13 @@
     "desc": "Yeni bir yüz koleksiyonu oluşturun",
     "new": "Yeni Yüz Oluştur",
     "title": "Koleksiyon Oluştur",
-    "nextSteps": "Sağlam bir temel oluşturmak için:<li>Her tespit edilen kişi için 'Eğit' sekmesinden resimler seçip eğitin.</li><li>En iyi sonuçlar için doğrudan karşıdan çekilmiş yüz resimlerine odaklanın; açılı yüz resimlerinden kaçının.</li></ul>"
+    "nextSteps": "Sağlam bir temel oluşturmak için:<li>Her tespit edilen kişi için **Recent Recognitions (Son Tanımalar)** sekmesini kullanarak görüntüleri seçin ve eğitim gerçekleştirin.</li> <li>En iyi sonuçlar için doğrudan önden çekilmiş yüz görüntülerine odaklanın; yüzlerin açılı göründüğü fotoğrafları eğitimde kullanmaktan kaçının.</li>"
   },
   "train": {
-    "title": "Eğit",
-    "aria": "Eğitimi seç",
-    "empty": "Yakın zamanda yüz tanıma denemesi olmadı"
+    "title": "Son Tanımalar",
+    "aria": "Son algılanan nesneleri seç",
+    "empty": "Yakın zamanda yüz tanıma denemesi olmadı",
+    "titleShort": "Son"
   },
   "deleteFaceLibrary": {
     "title": "İsmi Sil",
@@ -49,7 +50,7 @@
     "validation": {
       "selectImage": "Lütfen bir resim dosyası seçin."
     },
-    "dropInstructions": "Bir resmi buraya sürükleyip bırakın ya da tıklayarak seçin"
+    "dropInstructions": "Bir görseli buraya sürükleyip bırakın, yapıştırın ya da seçmek için tıklayın"
   },
   "trainFaceAs": "Yüzü şu olarak eğit:",
   "toast": {
@@ -61,7 +62,7 @@
       "addFaceLibrary": "{{name}} başarıyla Yüz Kütüphanesi’ne eklendi!",
       "trainedFace": "Yüz başarıyla eğitildi.",
       "uploadedImage": "Resim başarıyla yüklendi.",
-      "updatedFaceScore": "Yüz skoru başarıyla güncellendi.",
+      "updatedFaceScore": "Yüz tanıma skoru {{name}} ({{score}}) olarak başarıyla güncellendi.",
       "renamedFace": "Yüz başarıyla {{name}} olarak adlandırıldı"
     },
     "error": {
diff --git a/web/public/locales/tr/views/live.json b/web/public/locales/tr/views/live.json
index ae3b0cd1c..929b27181 100644
--- a/web/public/locales/tr/views/live.json
+++ b/web/public/locales/tr/views/live.json
@@ -19,11 +19,11 @@
     },
     "started": "Manuel talep üzerine kayıt başlatıldı.",
     "failedToStart": "Manuel talep üzerine kayıt başlatılamadı.",
-    "title": "İsteğe Bağlı Kayıt",
+    "title": "İsteğe Bağlı",
     "end": "Talep Üzerine Kaydı Bitir",
     "debugView": "Hata Ayıklama Görünümü",
     "ended": "Manuel talep üzerine kayıt bitirildi.",
-    "tips": "Bu kameranın kayıt tutma ayarları kapsamında manuel olarak bir olay başlatın.",
+    "tips": "Bu kameranın kayıt saklama ayarlarına göre anlık bir görüntü indirin veya manuel bir olay başlatın.",
     "playInBackground": {
       "label": "Arka planda oynat",
       "desc": "Yayını oynatıcı arkadayken de devam ettirmek için bu seçeneği açın."
@@ -52,7 +52,10 @@
       "label": "Arka planda oynat",
       "tips": "Yayını oynatıcı arkadayken de devam ettirmek için bu seçeneği açın."
     },
-    "title": "Yayın"
+    "title": "Yayın",
+    "debug": {
+      "picker": "Hata ayıklama modunda akış seçimi kullanılamaz. Hata ayıklama görünümü her zaman tespit(detect) rolüne atanmış akışı kullanır."
+    }
   },
   "cameraSettings": {
     "recording": "Kayıt",
@@ -167,5 +170,20 @@
   "transcription": {
     "enable": "Canlı Ses Çözümlemeyi Aç",
     "disable": "Canlı Ses Çözümlemeyi Kapat"
+  },
+  "snapshot": {
+    "takeSnapshot": "Anlık görüntüyü indir",
+    "noVideoSource": "Anlık görüntü için kullanılabilir bir video kaynağı bulunamadı.",
+    "captureFailed": "Anlık görüntü yakalanamadı.",
+    "downloadStarted": "Anlık görüntü indirme işlemi başlatıldı."
+  },
+  "noCameras": {
+    "title": "Yapılandırılmış Kamera Yok",
+    "description": "Frigate’e bir kamera bağlayarak başlayın.",
+    "buttonText": "Kamera Ekle",
+    "restricted": {
+      "title": "Kullanılabilir Kamera Yok",
+      "description": "Bu gruptaki kameraları görüntüleme izniniz yok."
+    }
   }
 }
diff --git a/web/public/locales/tr/views/search.json b/web/public/locales/tr/views/search.json
index 17ba98899..2de2edf47 100644
--- a/web/public/locales/tr/views/search.json
+++ b/web/public/locales/tr/views/search.json
@@ -23,7 +23,8 @@
       "has_clip": "Klibi var",
       "min_speed": "Min. Hız",
       "sub_labels": "Alt Etiketler",
-      "max_speed": "Maks. Hız"
+      "max_speed": "Maks. Hız",
+      "attributes": "Özellikler"
     },
     "searchType": {
       "description": "Açıklama",
diff --git a/web/public/locales/tr/views/settings.json b/web/public/locales/tr/views/settings.json
index 714f6a4fc..33ffdd792 100644
--- a/web/public/locales/tr/views/settings.json
+++ b/web/public/locales/tr/views/settings.json
@@ -8,9 +8,11 @@
     "motionTuner": "Hareket Algılama Ayarları - Frigate",
     "frigatePlus": "Frigate+ Ayarları - Frigate",
     "object": "Hata Ayıklama - Frigate",
-    "general": "Genel Ayarlar - Frigate",
+    "general": "Kullanıcı Arayüzü Ayarları – Frigate",
     "notifications": "Bildirim Ayarları - Frigate",
-    "enrichments": "Zenginleştirme Ayarları - Frigate"
+    "enrichments": "Zenginleştirme Ayarları - Frigate",
+    "cameraManagement": "Kameraları Yönet - Frigate",
+    "cameraReview": "Kamera İnceleme Ayarları - Frigate"
   },
   "menu": {
     "masksAndZones": "Maskeler / Alanlar",
@@ -23,10 +25,13 @@
     "debug": "Hata Ayıklama",
     "cameras": "Kamera Ayarları",
     "enrichments": "Zenginleştirmeler",
-    "triggers": "Tetikler"
+    "triggers": "Tetikler",
+    "cameraManagement": "Yönetim",
+    "cameraReview": "İncele",
+    "roles": "Roller"
   },
   "general": {
-    "title": "Genel Ayarlar",
+    "title": "Kullanıcı Arayüzü Ayarları",
     "liveDashboard": {
       "automaticLiveView": {
         "label": "Otomatik Canlı Görünüm",
@@ -34,9 +39,17 @@
       },
       "playAlertVideos": {
         "label": "Alarm Videolarını Oynat",
-        "desc": "Varsayılan olarak canlı görüntü panelinde gösterilen son alarmlar ufak videolar olarak oynatılır. Bu tarayıcı/cihazda video yerine sabit resim göstermek için bu seçeneği kapatın."
+        "desc": "Varsayılan olarak canlı görüntü panelinde gösterilen son uyarılar ufak videolar olarak oynatılır. Bu tarayıcı/cihazda video yerine sabit resim göstermek için bu seçeneği kapatın."
       },
-      "title": "Canlı Görüntü Paneli"
+      "title": "Canlı Görüntü Paneli",
+      "displayCameraNames": {
+        "label": "Kamera Adlarını Daima Göster",
+        "desc": "Çok kameralı canlı izleme panelinde, kamera adlarını her zaman bir etiket içinde göster."
+      },
+      "liveFallbackTimeout": {
+        "label": "Canlı Oynatıcı Yedeğe Geçiş Zaman Aşımı",
+        "desc": "Bir kameranın yüksek kaliteli canlı akışı kullanılamadığında, belirtilen saniye kadar sonra düşük bant genişliği moduna geç. Varsayılan: 3."
+      }
     },
     "storedLayouts": {
       "desc": "Kamera grubundaki kameraların düzenini kameraları sürükleyerek ve büyüterek/küçülterek değiştirebilirsiniz. Düzen bilgisi tarayıcınızda depolanır.",
@@ -237,7 +250,8 @@
           "hasIllegalCharacter": "Alan adı geçersiz karakterler içeriyor.",
           "mustNotBeSameWithCamera": "Alan adı kamera adıyla aynı olmamalıdır.",
           "alreadyExists": "Bu kamera için bu ada sahip bir alan zaten mevcut.",
-          "mustNotContainPeriod": "Alan adı nokta içermemelidir."
+          "mustNotContainPeriod": "Alan adı nokta içermemelidir.",
+          "mustHaveAtLeastOneLetter": "Bölge ismi en az bir harf içermelidir."
         }
       },
       "distance": {
@@ -293,7 +307,7 @@
       "name": {
         "inputPlaceHolder": "Bir isim girin…",
         "title": "İsim",
-        "tips": "Ad en az 2 karakter olmalı ve bir kamera veya başka bir bölgenin adı olmamalıdır."
+        "tips": "İsim 2 karakter veya daha uzun olmalı, en az bir harf içermeli ve bu kameradaki bir kamera ismi veya başka bir bölge ismiyle çakışmamalıdır."
       },
       "inertia": {
         "title": "Eylemsizlik",
@@ -329,7 +343,7 @@
         "title": "Hız Alt Sınırı ({{unit}})"
       },
       "toast": {
-        "success": "Alan ({{zoneName}}) kaydedildi. Değişiklikleri uygulamak için Frigate'i yeniden başlatın."
+        "success": "Bölge ({{zoneName}}) kaydedildi."
       },
       "allObjects": "Bütün Nesneler"
     },
@@ -349,8 +363,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} kaydedildi. Değişiklikleri uygulamak için Frigate'i yeniden başlatın.",
-          "noName": "Hareket Maskesi kaydedildi. Değişiklikleri uygulamak için Frigate'i yeniden başlatın."
+          "title": "{{polygonName}} kaydedildi.",
+          "noName": "Hareket Maskesi kaydedildi."
         }
       },
       "desc": {
@@ -378,8 +392,8 @@
       "edit": "Nesne Maskesini Düzenle",
       "toast": {
         "success": {
-          "noName": "Nesne Maskesi kaydedildi. Değişiklikleri uygulamak için Frigate'i yeniden başlatın.",
-          "title": "{{polygonName}} kaydedildi. Değişiklikleri uygulamak için Frigate'i yeniden başlatın."
+          "noName": "Nesne Maskesi kaydedildi.",
+          "title": "{{polygonName}} kaydedildi."
         }
       },
       "documentTitle": "Nesne Maskesini Düzenle - Frigate",
@@ -501,7 +515,7 @@
       "changeRole": "Kullanıcı rolünü değiştir",
       "deleteUser": "Kullanıcıyı sil",
       "role": "Rol",
-      "password": "Parola"
+      "password": "Parola Sıfırla"
     },
     "dialog": {
       "form": {
@@ -525,7 +539,16 @@
             "veryStrong": "Çok Güçlü"
           },
           "notMatch": "Parolalar eşleşmiyor",
-          "match": "Parolalar eşleşiyor"
+          "match": "Parolalar eşleşiyor",
+          "show": "Parolay⁸ göster",
+          "hide": "Parolayı gizle",
+          "requirements": {
+            "title": "Parola gereksinimleri:",
+            "length": "En az 8 karakter",
+            "uppercase": "En az bir büyük harf",
+            "digit": "En az bir rakam",
+            "special": "En az bir özel karakter (!@#$%^&*(),.?\":{}|<>)"
+          }
         },
         "newPassword": {
           "placeholder": "Yeni parola girin",
@@ -535,7 +558,11 @@
           "title": "Yeni Parola"
         },
         "usernameIsRequired": "Kullanıcı adı gereklidir",
-        "passwordIsRequired": "Parola gereklidir"
+        "passwordIsRequired": "Parola gereklidir",
+        "currentPassword": {
+          "title": "Mevcut Parola",
+          "placeholder": "Mevcut parolanızı girin"
+        }
       },
       "createUser": {
         "title": "Yeni Kullanıcı Oluştur",
@@ -553,7 +580,12 @@
         "setPassword": "Parola Belirle",
         "desc": "Bu hesabı güvenli hale getirmek güçlü bir parola belirleyin.",
         "cannotBeEmpty": "Parola boş olamaz",
-        "doNotMatch": "Parolalar eşleşmiyor"
+        "doNotMatch": "Parolalar eşleşmiyor",
+        "currentPasswordRequired": "Mevcut parola gereklidir",
+        "incorrectCurrentPassword": "Mevcut parola yanlış",
+        "passwordVerificationFailed": "Parola doğrulanamadı",
+        "multiDeviceWarning": "Oturum açtığınız diğer tüm cihazların {{refresh_time}} süresi içinde yeniden oturum açması gerekecektir.",
+        "multiDeviceAdmin": "JWT gizli anahtarınızı yenileyerek tüm kullanıcıları derhal yeniden doğrulama yapmaya zorlayabilirsiniz."
       },
       "changeRole": {
         "title": "Kullanıcı Rolünü Değiştir",
@@ -563,12 +595,13 @@
           "intro": "Bu kullanıcı için bir rol seçin:",
           "admin": "Yönetici",
           "viewer": "Görüntüleyici",
-          "viewerDesc": "Yalnızca Canlı, İncele, Keşfet ve Dışa Aktar'a girebilir."
+          "viewerDesc": "Yalnızca Canlı, İncele, Keşfet ve Dışa Aktar'a girebilir.",
+          "customDesc": "Belirli kamera erişimine sahip özel rol."
         },
         "select": "Bir rol seçin"
       }
     },
-    "updatePassword": "Parola Belirle"
+    "updatePassword": "Parola Sıfırla"
   },
   "notification": {
     "title": "Bildirimler",
@@ -737,25 +770,28 @@
       "form": {
         "name": {
           "error": {
-            "invalidCharacters": "İsim yalnızca harf, rakam, alt çizgi veya tire içerebilir.",
-            "minLength": "Bu isim en az iki karakterden oluşmalıdır.",
+            "invalidCharacters": "Girdi yalnızca harf, rakam, alt çizgi ve tire içerebilir.",
+            "minLength": "Girdi en az 2 karakter uzunluğunda olmalıdır.",
             "alreadyExists": "Bu kamerada aynı isimle bir tetik zaten mevcut."
           },
           "title": "İsim",
-          "placeholder": "Tetik için bir isim girin"
+          "placeholder": "Bu tetikleyiciye isim verin",
+          "description": "Bu tetikleyiciyi tanımlamak için benzersiz bir isim veya açıklama girin"
         },
         "enabled": {
           "description": "Bu tetiği açın veya kapatın"
         },
         "type": {
           "title": "Tetik Türü",
-          "placeholder": "Tetik türünü seçin"
+          "placeholder": "Tetik türünü seçin",
+          "description": "Benzer izlenen nesne açıklaması algılandığında tetiklenir",
+          "thumbnail": "Benzer izlenen nesne küçük resmi algılandığında tetiklenir"
         },
         "content": {
           "title": "İçerik",
-          "imagePlaceholder": "Bir resim seçin",
+          "imagePlaceholder": "Bir küçük resim seçin",
           "textPlaceholder": "Metin içeriği girin",
-          "imageDesc": "Benzer bir resim tespit edildiğinde tetiklenilmesi için bir resim seçin.",
+          "imageDesc": "Yalnızca en son 100 küçük resim görüntülenir. İstediğiniz küçük resmi bulamazsanız, lütfen Keşfet bölümündeki önceki nesneleri inceleyin ve oradaki menüden bir tetikleyici ayarlayın.",
           "textDesc": "Benzer bir takip edilen nesne açıklaması algılandığında bu eylemi tetiklemek için metin girin.",
           "error": {
             "required": "İçerik gereklidir."
@@ -766,11 +802,12 @@
           "error": {
             "min": "Tetik eşiği 0 ile 1 arasında olmalıdır",
             "max": "Tetik eşiği 0 ile 1 arasında olmalıdır"
-          }
+          },
+          "desc": "Bu tetikleyici için benzerlik eşiğini ayarlayın. Daha yüksek bir eşik, tetiği tetiklemek için daha yakın bir eşleşme gerektiği anlamına gelir."
         },
         "actions": {
           "title": "Eylemler",
-          "desc": "Varsayılan olarak Frigate bütün tetkler için MQTT'ye bir mesaj atar. İsterseniz yapılacak ek bir eylem de belirleyebilirsiniz.",
+          "desc": "Varsayılan olarak, Frigate tüm tetikleyici isimlerini bir MQTT mesajı olarak gönderir. Alt etiketler, tetikleyici ismini nesne etiketine ekler. Nitelikler, izlenen nesne meta verilerinde ayrı olarak depolanan aranabilir meta verilerdir.",
           "error": {
             "min": "En az bir eylem seçilmelidir."
           }
@@ -791,7 +828,7 @@
     },
     "documentTitle": "Tetikler",
     "management": {
-      "title": "Tetik Yönetimi",
+      "title": "Tetikleyiciler",
       "desc": "{{camera}} için tetikleri yönetin. Seçtiğiniz takip edilen nesneye benzer küçük resimlerde tetiklemek için küçük resmi kullanın veya belirlediğiniz metne benzer açıklamalar çıkması durumunda tetiklemek için ise açıklama seçeneğini kullanın."
     },
     "addTrigger": "Tetik Ekle",
@@ -812,7 +849,9 @@
     },
     "actions": {
       "alert": "Alarm Olarak İşaretle",
-      "notification": "Bildirim Gönder"
+      "notification": "Bildirim Gönder",
+      "sub_label": "Alt Etiket Ekle",
+      "attribute": "Özellik Ekle"
     },
     "toast": {
       "success": {
@@ -825,6 +864,354 @@
         "updateTriggerFailed": "Tetik güncellenemedi: {{errorMessage}}",
         "deleteTriggerFailed": "Tetik silinemedi: {{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "title": "Anlamsal Arama devre dışı bırakıldı",
+      "desc": "Tetikleyicileri kullanmak için Anlamsal Arama'nın etkinleştirilmesi gerekir."
+    },
+    "wizard": {
+      "title": "Tetikleyici Oluştur",
+      "step1": {
+        "description": "Tetikleyiciniz için temel ayarları yapılandırın."
+      },
+      "step2": {
+        "description": "Bu eylemi tetikleyecek içeriği ayarlayın."
+      },
+      "step3": {
+        "description": "Bu tetikleyici için eşik değerini ve eylemleri yapılandırın."
+      },
+      "steps": {
+        "nameAndType": "İsim ve Tür",
+        "configureData": "Verileri Yapılandır",
+        "thresholdAndActions": "Eşik ve Eylemler"
+      }
+    }
+  },
+  "cameraWizard": {
+    "title": "Kamera Ekle",
+    "description": "Aşağıdaki adımları izleyerek Frigate kurulumunuza yeni bir kamera ekleyin.",
+    "steps": {
+      "nameAndConnection": "İsim & Bağlantı",
+      "probeOrSnapshot": "Probe veya Anlık Görüntü",
+      "streamConfiguration": "Akış Yapılandırması",
+      "validationAndTesting": "Doğrulama ve Test"
+    },
+    "save": {
+      "success": "Yeni kamera {{cameraName}} başarıyla kaydedildi.",
+      "failure": "{{cameraName}} kaydedilirken hata oluştu."
+    },
+    "testResultLabels": {
+      "resolution": "Çözünürlük",
+      "video": "Video",
+      "audio": "Ses",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Lütfen geçerli bir akış URL'si sağlayın",
+      "testFailed": "Akış testi başarısız oldu: {{error}}"
+    },
+    "step1": {
+      "description": "Kamera bilgilerinizi girin ve kamerayı taramayı (probe) ya da markayı manuel olarak seçmeyi tercih edin.",
+      "cameraName": "Kamera İsmi",
+      "cameraNamePlaceholder": "örn. onkapi, veya Arka Bahçe Genel Görünümü",
+      "host": "Ana makine adı veya IP Adresi",
+      "port": "Port",
+      "username": "Kullanıcı adı",
+      "usernamePlaceholder": "İsteğe bağlı",
+      "password": "Parola",
+      "passwordPlaceholder": "İsteğe bağlı",
+      "selectTransport": "İletişim protokolünü seçin",
+      "cameraBrand": "Kamera Markası",
+      "selectBrand": "URL şablonu için kamera markasını seçin",
+      "customUrl": "Özel Akış URL’si",
+      "brandInformation": "Marka Bilgileri",
+      "brandUrlFormat": "RTSP URL formatı şu şekilde olan kameralar için: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://kullanıcıadı:parola@host:port/path",
+      "connectionSettings": "Bağlantı Ayarları",
+      "detectionMethod": "Akış Algılama Yöntemi",
+      "onvifPort": "ONVIF Portu",
+      "probeMode": "Kamerayı tara",
+      "manualMode": "Manuel seçim",
+      "detectionMethodDescription": "Kamera akış URL’lerini bulmak için kamerayı ONVIF ile tarayın (destekleniyorsa) veya ön tanımlı URL’leri kullanmak için kamera markasını manuel olarak seçin. Özel bir RTSP URL’si girmek için manuel yöntemi seçin ve “Diğer”i işaretleyin.",
+      "onvifPortDescription": "ONVIF'i destekleyen kameralarda bu genellikle 80 veya 8080'dir.",
+      "useDigestAuth": "Digest kimlik doğrulamasını kullan",
+      "errors": {
+        "nameRequired": "Kamera ismi gereklidir",
+        "nameLength": "Kamera ismi en fazla 64 karakter olmalıdır",
+        "invalidCharacters": "Kamera ismi geçersiz karakterler içeriyor",
+        "nameExists": "Kamera ismi zaten mevcut",
+        "customUrlRtspRequired": "Özel URL'ler \"rtsp://\" ile başlamalıdır. RTSP olmayan kamera akışları için manuel yapılandırma gereklidir.",
+        "brandOrCustomUrlRequired": "Bir kamera markası seçip host/IP adresi girin ya da özel bir URL kullanmak için ‘Diğer’ seçeneğini tercih edin"
+      },
+      "useDigestAuthDescription": "ONVIF için HTTP digest kimlik doğrulamasını kullanın. Bazı kameralar, standart yönetici kullanıcısı yerine özel bir ONVIF kullanıcı adı/parola kullanılmasını gerektirebilir."
+    },
+    "step2": {
+      "description": "Mevcut akışları bulmak için kamerayı tarayın veya seçtiğiniz algılama yöntemine göre manuel ayarları yapılandırın.",
+      "testSuccess": "Bağlantı testi başarılı!",
+      "testFailed": "Bağlantı testi başarısız oldu. Lütfen bilgileri kontrol edip tekrar deneyin.",
+      "testFailedTitle": "Test Başarısız",
+      "streamDetails": "Akış Ayrıntıları",
+      "probing": "Kamera taranıyor...",
+      "retry": "Yeniden dene",
+      "testing": {
+        "probingMetadata": "Kamera meta verileri inceleniyor...",
+        "fetchingSnapshot": "Kamera anlık görüntüsü alınıyor..."
+      },
+      "probeFailed": "Kamerayı tarama başarısız oldu: {{error}}",
+      "probingDevice": "Cihaz taranıyor…",
+      "probeSuccessful": "Tarama başarılı",
+      "probeError": "Tarama hatası",
+      "probeNoSuccess": "Tarama başarısız",
+      "deviceInfo": "Cihaz Bilgileri",
+      "manufacturer": "Üretici",
+      "model": "Modeli",
+      "firmware": "Donanım yazılımı",
+      "profiles": "Profiller",
+      "ptzSupport": "PTZ Desteği",
+      "autotrackingSupport": "Otomatik Takip Desteği",
+      "presets": "Ön ayarlar",
+      "rtspCandidates": "RTSP Yayınları",
+      "rtspCandidatesDescription": "Kamera taramasından aşağıdaki RTSP URL'leri bulundu. Akış meta verilerini görüntülemek için bağlantıyı test edin.",
+      "noRtspCandidates": "Kameradan RTSP URL'si bulunamadı. Kimlik bilgileriniz yanlış olabilir veya kamera ONVIF'i veya RTSP URL'lerini almak için kullanılan yöntemi desteklemiyor olabilir. Geri dönün ve RTSP URL'sini manuel olarak girin.",
+      "candidateStreamTitle": "Yayın {{number}}",
+      "useCandidate": "Kullan",
+      "uriCopy": "Kopyala",
+      "uriCopied": "URI panoya kopyalandı",
+      "testConnection": "Bağlantıyı Test Et",
+      "toggleUriView": "Tam URI görünümünü değiştirmek için tıklayın",
+      "connected": "Bağlandı",
+      "notConnected": "Bağlı Değil",
+      "errors": {
+        "hostRequired": "Host/IP adresi gereklidir"
+      }
+    },
+    "step3": {
+      "description": "Akış rollerini yapılandırın ve kameranız için ek akışlar ekleyin.",
+      "streamsTitle": "Kamera Akışları",
+      "addStream": "Akış Ekle",
+      "addAnotherStream": "Başka Bir Akış Ekle",
+      "streamTitle": "Akış {{number}}",
+      "streamUrl": "Akış URL'si",
+      "streamUrlPlaceholder": "rtsp://kullanıcıadı:parola@host:port/path",
+      "selectStream": "Bir akış seçin",
+      "searchCandidates": "Yayınları arayın...",
+      "noStreamFound": "Akış bulunamadı",
+      "url": "URL",
+      "resolution": "Çözünürlük",
+      "selectResolution": "Çözünürlüğü seçin",
+      "quality": "Kalite",
+      "selectQuality": "Kaliteyi seçin",
+      "roles": "Roller",
+      "roleLabels": {
+        "detect": "Nesne Algılama",
+        "record": "Kayıt",
+        "audio": "Ses"
+      },
+      "testStream": "Bağlantıyı Test Et",
+      "testSuccess": "Yayın testi başarılı!",
+      "testFailed": "Yayın testi başarısız oldu",
+      "testFailedTitle": "Test Başarısız",
+      "connected": "Bağlı",
+      "notConnected": "Bağlı Değil",
+      "featuresTitle": "Özellikler",
+      "go2rtc": "Kameraya olan bağlantıları azaltın",
+      "detectRoleWarning": "Devam edebilmek için en az bir akışın algılama (detect) rolüne sahip olması gerekir.",
+      "rolesPopover": {
+        "title": "Akış Rolleri",
+        "detect": "Nesne algılama için ana besleme.",
+        "record": "Yapılandırma ayarlarına göre video akışının bölümlerini kaydeder.",
+        "audio": "Ses tabanlı algılama için besleme."
+      },
+      "featuresPopover": {
+        "title": "Yayın Özellikleri",
+        "description": "Kameranıza olan bağlantıları azaltmak için go2rtc yeniden akışını kullanın."
+      }
+    },
+    "step4": {
+      "disconnectStream": "Bağlantıyı kes",
+      "estimatedBandwidth": "Tahmini Bant Genişliği",
+      "roles": "Roller",
+      "ffmpegModule": "Yayın uyumluluk modunu kullan",
+      "ffmpegModuleDescription": "Yayın birkaç denemeden sonra yüklenmezse, bunu etkinleştirmeyi deneyin. Etkinleştirildiğinde, Frigate go2rtc ile ffmpeg modülünü kullanacaktır. Bu, bazı kamera yayınları ile daha iyi uyumluluk sağlayabilir.",
+      "none": "Hiçbiri",
+      "error": "Hata",
+      "description": "Yeni kameranızı kaydetmeden önce son doğrulama ve analiz. Kaydetmeden önce her akışı bağlayın.",
+      "validationTitle": "Akış Doğrulaması",
+      "connectAllStreams": "Tüm Akışlara Bağlan",
+      "reconnectionSuccess": "Yeniden bağlantı başarılı.",
+      "reconnectionPartial": "Bazı Akışlara yeniden bağlanılamadı.",
+      "streamUnavailable": "Akış önizlemesi kullanılamıyor",
+      "reload": "Yeniden yükle",
+      "connecting": "Bağlanıyor...",
+      "streamTitle": "Akış {{number}}",
+      "valid": "Geçerli",
+      "failed": "Başarısız",
+      "notTested": "Test edilmedi",
+      "connectStream": "Bağlan",
+      "connectingStream": "Bağlanıyor",
+      "streamValidated": "{{number}} nolu akış başarıyla doğrulandı",
+      "streamValidationFailed": "{{number}} nolu akış doğrulanamadı",
+      "saveAndApply": "Yeni Kamerayı Kaydet",
+      "saveError": "Geçersiz yapılandırma. Lütfen ayarlarınızı kontrol edin.",
+      "issues": {
+        "title": "Akış Doğrulaması",
+        "videoCodecGood": "Video kodeği {{codec}}.",
+        "audioCodecGood": "Ses kodeği {{codec}}.",
+        "resolutionHigh": "{{resolution}} çözünürlüğü kaynak kullanımının artmasına neden olabilir.",
+        "resolutionLow": "{{resolution}} çözünürlüğü, küçük nesnelerin güvenilir bir şekilde algılanması için çok düşük olabilir.",
+        "noAudioWarning": "Bu yayın için ses algılanmadı, kayıtlarda ses bulunmayacak.",
+        "audioCodecRecordError": "Kayıtlarda sesi desteklemek için AAC ses kodeği gereklidir.",
+        "audioCodecRequired": "Ses algılamayı desteklemek için bir ses akışı gereklidir.",
+        "restreamingWarning": "Kayıt akışı için kameraya olan bağlantıları azaltmak CPU kullanımını bir miktar artırabilir.",
+        "brands": {
+          "reolink-rtsp": "Reolink RTSP önerilmez. Kameranın ayarlarında HTTP'yi etkinleştirin ve sihirbazı baştan başlatın.",
+          "reolink-http": "Reolink HTTP akışları daha iyi uyumluluk için FFmpeg kullanmalıdır. Bu akış için 'Akış uyumluluk modunu kullan' seçeneğini etkinleştirin."
+        },
+        "dahua": {
+          "substreamWarning": "Alt akış 1 düşük çözünürlüğe kilitlenmiştir. Birçok Dahua / Amcrest / EmpireTech kamera, kamera ayarlarında etkinleştirilmesi gereken ek alt akışları destekler. Mevcutsa, bu akışları kontrol edip kullanmanız önerilir."
+        },
+        "hikvision": {
+          "substreamWarning": "Alt akış 1 düşük çözünürlüğe kilitlendi. Birçok Hikvision kamera, kamera ayarlarında etkinleştirilmesi gereken ek alt akışları destekler. Mevcutsa, bu akışları kontrol edip kullanmanız önerilir."
+        }
+      }
+    }
+  },
+  "cameraManagement": {
+    "title": "Kameraları Yönet",
+    "addCamera": "Yeni Kamera Ekle",
+    "editCamera": "Kamerayı Düzenle:",
+    "selectCamera": "Bir Kamera Seçin",
+    "backToSettings": "Kamera Ayarlarına Dön",
+    "streams": {
+      "title": "Kameraları Etkinleştir / Devre Dışı Bırak",
+      "desc": "Frigate yeniden başlatılana kadar bir kamerayı geçici olarak devre dışı bırakın. Bir kamerayı devre dışı bırakmak, Frigate'in bu kameranın akışlarını işlemesini tamamen durdurur. Algılama, kayıt ve hata ayıklama kullanılamaz.<br /> <em>Not: Bu, go2rtc yeniden akışlarını devre dışı bırakmaz.</em>"
+    },
+    "cameraConfig": {
+      "add": "Kamera Ekle",
+      "edit": "Kamerayı Düzenle",
+      "description": "Yayınlar ve roller dahil olmak üzere kamera ayarlarını yapılandırın.",
+      "name": "Kamera İsmi",
+      "nameRequired": "Kamera ismi gereklidir",
+      "nameLength": "Kamera ismi 64 karakterden az olmalıdır.",
+      "namePlaceholder": "örneğin, ön_kapı veya Arka Bahçe Genel Bakışı",
+      "enabled": "Etkin",
+      "ffmpeg": {
+        "inputs": "Giriş Akışları",
+        "path": "Akış Yolu",
+        "pathRequired": "Akış yolu gereklidir",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "Roller",
+        "rolesRequired": "En az bir rol gereklidir",
+        "rolesUnique": "Her rol (ses, algılama, kayıt) yalnızca bir akışa atanabilir",
+        "addInput": "Akış Ekle",
+        "removeInput": "Akış Kaldır",
+        "inputsRequired": "En az bir akış gereklidir"
+      },
+      "go2rtcStreams": "go2rtc Akışları",
+      "streamUrls": "Akış URL'leri",
+      "addUrl": "URL ekle",
+      "addGo2rtcStream": "go2rtc Akışı Ekle",
+      "toast": {
+        "success": "Kamera {{cameraName}} başarıyla kaydedildi"
+      }
+    }
+  },
+  "cameraReview": {
+    "title": "Kamera İnceleme Ayarları",
+    "object_descriptions": {
+      "title": "Üretken Yapay Zeka Nesne Açıklamaları",
+      "desc": "Bu kamera için yapay zekadan nesne tanımlama taleplerini geçici olarak etkinleştirin/devre dışı bırakın. Devre dışı bırakıldığında, bu kameradaki izlenen nesneler için yapay zekadan tanımlar istenmeyecektir."
+    },
+    "review_descriptions": {
+      "title": "Üretken Yapay Zeka İnceleme Açıklamaları",
+      "desc": "Bu kamera için yapay zekadan incele öğelerini açıklama taleplerini geçici olarak etkinleştirin/devre dışı bırakın. Devre dışı bırakıldığında, bu kameradaki inceleme öğeleri için yapay zekadan açıklama istenmeyecektir."
+    },
+    "review": {
+      "title": "İncele",
+      "desc": "Frigate yeniden başlatılana kadar bu kamera için uyarıları ve algılamaları geçici olarak etkinleştirin/devre dışı bırakın. Devre dışı bırakıldığında, yeni inceleme öğeleri oluşturulmaz. ",
+      "alerts": "Uyarılar ",
+      "detections": "Tespitler "
+    },
+    "reviewClassification": {
+      "title": "Sınıflandırmayı İncele",
+      "desc": "Frigate, inceleme öğelerini Uyarılar ve Algılamalar olarak kategorilere ayırır. Varsayılan olarak, tüm <em>kişi</em> ve <em>araba</em> nesneleri Uyarı olarak kabul edilir. İnceleme öğelerinizin kategorilendirmesini, bunlar için gerekli bölgeleri yapılandırarak iyileştirebilirsiniz.",
+      "noDefinedZones": "Bu kamera için herhangi bir bölge tanımlanmamıştır.",
+      "objectAlertsTips": "{{cameraName}} üzerindeki tüm {{alertsLabels}} nesneleri Uyarı olarak gösterilecektir.",
+      "zoneObjectAlertsTips": "{{cameraName}} üzerinde, {{zone}} bölgesinde tespit edilen tüm {{alertsLabels}} nesneleri Uyarı olarak gösterilecektir.",
+      "objectDetectionsTips": "{{cameraName}} üzerinde kategorize edilmemiş tüm {{detectionsLabels}} nesneleri, bölgeden bağımsız olarak Tespit olarak gösterilecektir.",
+      "zoneObjectDetectionsTips": {
+        "text": "{{cameraName}} üzerindeki {{zone}} bölgesinde kategorize edilmemiş tüm {{detectionsLabels}} nesneleri, Tespit olarak gösterilecektir.",
+        "notSelectDetections": "{{cameraName}} üzerinde {{zone}} bölgesinde tespit edilen ve Uyarı olarak kategorize edilmemiş tüm {{detectionsLabels}} nesneleri, bölgeden bağımsız olarak Tespitler olarak gösterilecektir.",
+        "regardlessOfZoneObjectDetectionsTips": "{{cameraName}} üzerinde kategorize edilmemiş tüm {{detectionsLabels}} nesneleri, bulundukları bölgeden bağımsız olarak Tespit olarak gösterilecektir."
+      },
+      "unsavedChanges": "{{camera}} için Kaydedilmemiş İnceleme Sınıflandırması ayarları",
+      "selectAlertsZones": "Uyarılar için bölgeleri seçin",
+      "selectDetectionsZones": "Tespitler için bölgeleri seçin",
+      "limitDetections": "Tespitleri belirli bölgelerle sınırlayın",
+      "toast": {
+        "success": "Sınıflandırma yapılandırması kaydedildi. Değişiklikleri uygulamak için Frigate'i yeniden başlatın."
+      }
+    }
+  },
+  "roles": {
+    "management": {
+      "title": "İzleyici Rol Yönetimi",
+      "desc": "Bu Frigate örneği için özel görüntüleyici rollerini ve kamera erişim izinlerini yönetin."
+    },
+    "addRole": "Rol Ekle",
+    "table": {
+      "role": "Rol",
+      "cameras": "Kameralar",
+      "actions": "Eylemler",
+      "noRoles": "Özel rol bulunamadı.",
+      "editCameras": "Kameraları Düzenle",
+      "deleteRole": "Rolü Sil"
+    },
+    "toast": {
+      "success": {
+        "createRole": "{{role}} rolü başarıyla oluşturuldu",
+        "updateCameras": "{{role}} rolü için kameralar güncellendi",
+        "deleteRole": "{{role}} rolü başarıyla silindi",
+        "userRolesUpdated_one": "Bu role atanan {{count}} kullanıcı, tüm kameralara erişimi olan 'görüntüleyici' olarak güncellendi.",
+        "userRolesUpdated_other": "Bu role atanan {{count}} kullanıcı, tüm kameralara erişimi olan 'görüntüleyici' olarak güncellendi."
+      },
+      "error": {
+        "createRoleFailed": "Rol oluşturulamadı: {{errorMessage}}",
+        "updateCamerasFailed": "Kameralar güncellenemedi: {{errorMessage}}",
+        "deleteRoleFailed": "Rol silinemedi: {{errorMessage}}",
+        "userUpdateFailed": "Kullanıcı rolleri güncellenemedi: {{errorMessage}}"
+      }
+    },
+    "dialog": {
+      "createRole": {
+        "title": "Yeni Rol Oluştur",
+        "desc": "Yeni bir rol ekleyin ve kamera erişim izinlerini belirtin."
+      },
+      "editCameras": {
+        "title": "Rol Kameralarını Düzenle",
+        "desc": "<strong>{{role}}</strong> rolü için kamera erişimini güncelleyin."
+      },
+      "deleteRole": {
+        "title": "Rolü Sil",
+        "desc": "Bu işlem geri alınamaz. Bu işlem, rolü kalıcı olarak silecek ve bu role sahip tüm kullanıcıları varsayılan 'izleyici' rolüne atayarak kullanıcıların BÜTÜN kameralara erişim sağlamasına neden olacaktır.",
+        "warn": "<strong>{{role}}</strong> rolünü silmek istediğinizden emin misiniz?",
+        "deleting": "Siliniyor..."
+      },
+      "form": {
+        "role": {
+          "title": "Rol İsmi",
+          "placeholder": "Rol ismini girin",
+          "desc": "Sadece harf, rakam, nokta ve alt çizgi kullanılabilir.",
+          "roleIsRequired": "Rol ismi gereklidir",
+          "roleOnlyInclude": "Rol ismi yalnızca harf, sayı veya alt çizgi (_) içerebilir",
+          "roleExists": "Bu isimde bir rol zaten mevcut."
+        },
+        "cameras": {
+          "title": "Kameralar",
+          "desc": "Bu rolün erişebileceği kameraları seçin. En az bir kamera gereklidir.",
+          "required": "En az bir kamera seçilmelidir."
+        }
+      }
     }
   }
 }
diff --git a/web/public/locales/tr/views/system.json b/web/public/locales/tr/views/system.json
index 9052b6d4a..2311ae5cf 100644
--- a/web/public/locales/tr/views/system.json
+++ b/web/public/locales/tr/views/system.json
@@ -43,12 +43,24 @@
       "gpuEncoder": "GPU Kodlayıcı",
       "title": "Donanım Bilgisi",
       "npuUsage": "NPU Kullanımı",
-      "npuMemory": "NPU Bellek Kullanımı"
+      "npuMemory": "NPU Bellek Kullanımı",
+      "intelGpuWarning": {
+        "title": "Intel GPU İstatistik Uyarısı",
+        "message": "GPU istatistikleri kullanılamıyor",
+        "description": "Bu durum, donanımsal hızlandırma ve nesne tespiti (i)GPU üzerinde sorunsuz çalışıyor olsa bile, Intel’in GPU istatistik raporlama aracındaki (intel_gpu_top) bilinen bir hatadan ötürü GPU kullanımının %0 olarak bildirilmesinden kaynaklanmakta olup, Frigate hatası değildir. Sorunu geçici olarak düzeltmek ve (i)GPU’nun doğru çalıştığını doğrulamak için ana makineyi yeniden başlatabilirsiniz. Bu durum performansı etkilememektedir."
+      }
     },
     "otherProcesses": {
       "title": "Diğer İşlemler",
       "processCpuUsage": "İşlem CPU Kullanımı",
-      "processMemoryUsage": "İşlem Bellek Kullanımı"
+      "processMemoryUsage": "İşlem Bellek Kullanımı",
+      "series": {
+        "go2rtc": "go2rtc",
+        "recording": "kayıt",
+        "embeddings": "gömülü vektörler",
+        "audio_detector": "ses detektörü",
+        "review_segment": "inceleme bölümü"
+      }
     },
     "detector": {
       "title": "Algılayıcılar",
@@ -154,10 +166,20 @@
       "plate_recognition": "Plaka Tanıma",
       "face_recognition_speed": "Yüz Tanıma Hızı",
       "yolov9_plate_detection_speed": "YOLOv9 Plaka Tanıma Hızı",
-      "yolov9_plate_detection": "YOLOv9 Plaka Tanıma"
+      "yolov9_plate_detection": "YOLOv9 Plaka Tanıma",
+      "review_description": "İnceleme Açıklaması",
+      "review_description_speed": "İnceleme Açıklama Hızı",
+      "review_description_events_per_second": "İnceleme Açıklaması",
+      "object_description": "Nesne Açıklaması",
+      "object_description_speed": "Nesne Açıklama Hızı",
+      "object_description_events_per_second": "Nesne Açıklaması",
+      "classification": "{{name}} Sınıflandırması",
+      "classification_speed": "{{name}} Sınıflandırma Hızı",
+      "classification_events_per_second": "{{name}} Saniyede Sınıflandırma Olayları"
     },
     "infPerSecond": "Saniye Başına Çıkarım",
-    "title": "Zenginleştirmeler"
+    "title": "Zenginleştirmeler",
+    "averageInf": "Ortalama Çıkarım Süresi"
   },
   "logs": {
     "download": {
diff --git a/web/public/locales/uk/audio.json b/web/public/locales/uk/audio.json
index e5b27820a..773d5e3a7 100644
--- a/web/public/locales/uk/audio.json
+++ b/web/public/locales/uk/audio.json
@@ -425,5 +425,79 @@
   "whistling": "Свист",
   "snoring": "Хропіння",
   "pant": "Задихатися",
-  "sneeze": "Чхати"
+  "sneeze": "Чхати",
+  "sodeling": "Соделінг",
+  "chird": "Дитина",
+  "change_ringing": "Змінити дзвінок",
+  "shofar": "Шофар",
+  "liquid": "Рідина",
+  "splash": "Сплеск",
+  "slosh": "Сльоз",
+  "squish": "Хлюпати",
+  "drip": "Крапельне",
+  "pour": "Для",
+  "trickle": "Струмінь",
+  "gush": "Гуш",
+  "fill": "Заповнити",
+  "spray": "Спрей",
+  "pump": "Насос",
+  "stir": "Перемішати",
+  "boiling": "Кипіння",
+  "sonar": "Сонар",
+  "arrow": "Стрілка",
+  "whoosh": "Свисти",
+  "thump": "Тупіт",
+  "thunk": "Тюнк",
+  "electronic_tuner": "Електронний тюнер",
+  "effects_unit": "Блок ефектів",
+  "chorus_effect": "Ефект хорусу",
+  "basketball_bounce": "Відскок баскетбольного м'яча",
+  "bang": "Вибухи",
+  "slap": "Ляпас",
+  "whack": "Вдарити",
+  "smash": "Розгром",
+  "breaking": "Розбиттям",
+  "bouncing": "Підстрибування",
+  "whip": "Батіг",
+  "flap": "Клаптик",
+  "scratch": "Подряпина",
+  "scrape": "Скрейп",
+  "rub": "Розтирання",
+  "roll": "Рулон",
+  "crushing": "Дроблення",
+  "crumpling": "Зминання",
+  "tearing": "Розривання",
+  "beep": "Звуковий сигнал",
+  "ping": "Пінг",
+  "ding": "Дін",
+  "clang": "Брязкіт",
+  "squeal": "Вереск",
+  "creak": "Скрипи",
+  "rustle": "Шелест",
+  "whir": "Гудінням",
+  "clatter": "Брязкіти",
+  "sizzle": "Шипінням",
+  "clicking": "Клацання",
+  "clickety_clack": "Клацання-Клак",
+  "rumble": "Гуркіті",
+  "plop": "Плюх",
+  "hum": "Гум",
+  "zing": "Зінг",
+  "boing": "Боїнг",
+  "crunch": "Хрускіт",
+  "sine_wave": "Синусоїда",
+  "harmonic": "Гармоніка",
+  "chirp_tone": "Чирп-тон",
+  "pulse": "Пульс",
+  "inside": "Всередині",
+  "outside": "Зовні",
+  "reverberation": "Реверберація",
+  "echo": "Відлуння",
+  "noise": "Шум",
+  "mains_hum": "Гуміння рук",
+  "distortion": "Спотворення",
+  "sidetone": "Побічний тон",
+  "cacophony": "Какофонія",
+  "throbbing": "Пульсуючий",
+  "vibration": "Вібрація"
 }
diff --git a/web/public/locales/uk/common.json b/web/public/locales/uk/common.json
index 542ebb27a..da875f1f8 100644
--- a/web/public/locales/uk/common.json
+++ b/web/public/locales/uk/common.json
@@ -78,7 +78,10 @@
     "formattedTimestampMonthDayYear": {
       "24hour": "MMM d, yyyy",
       "12hour": "MMM d, yyyy"
-    }
+    },
+    "inProgress": "У процесі",
+    "invalidStartTime": "Недійсний час початку",
+    "invalidEndTime": "Недійсний час завершення"
   },
   "button": {
     "exitFullscreen": "Вийти з повноекранного режиму",
@@ -115,7 +118,8 @@
     "export": "Експортувати",
     "deleteNow": "Видалити негайно",
     "next": "Наступне",
-    "unsuspended": "Відновити дію"
+    "unsuspended": "Відновити дію",
+    "continue": "Продовжити"
   },
   "menu": {
     "language": {
@@ -216,8 +220,9 @@
         "label": "Використовуйте налаштування системи для світлого або темного режиму"
       }
     },
-    "appearance": "Поява",
-    "withSystem": "Система"
+    "appearance": "Зовнішність",
+    "withSystem": "Система",
+    "classification": "Класифікація"
   },
   "unit": {
     "speed": {
@@ -227,10 +232,24 @@
     "length": {
       "feet": "ноги",
       "meters": "метрів"
+    },
+    "data": {
+      "kbps": "кБ/с",
+      "mbps": "МБ/с",
+      "gbps": "ГБ/с",
+      "kbph": "кБ/годину",
+      "mbph": "МБ/годину",
+      "gbph": "ГБ/годину"
     }
   },
   "label": {
-    "back": "Повернутись"
+    "back": "Повернутись",
+    "hide": "Приховати {{item}}",
+    "show": "Показати {{item}}",
+    "ID": "ID",
+    "none": "Жоден",
+    "all": "Усі",
+    "other": "Інше"
   },
   "toast": {
     "save": {
@@ -271,5 +290,17 @@
     "title": "404"
   },
   "selectItem": "Вибрати {{item}}",
-  "readTheDocumentation": "Прочитати документацію"
+  "readTheDocumentation": "Прочитати документацію",
+  "information": {
+    "pixels": "{{area}}пикс"
+  },
+  "list": {
+    "two": "{{0}} і {{1}}",
+    "many": "{{items}}, і {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "Необов'язково",
+    "internalID": "Внутрішній ідентифікатор, який Frigate використовує в конфігурації та базі даних"
+  }
 }
diff --git a/web/public/locales/uk/components/auth.json b/web/public/locales/uk/components/auth.json
index 07eaca4e3..4c9f7e282 100644
--- a/web/public/locales/uk/components/auth.json
+++ b/web/public/locales/uk/components/auth.json
@@ -10,6 +10,7 @@
     },
     "user": "Iм'я користувача",
     "password": "Пароль",
-    "login": "Логiн"
+    "login": "Логiн",
+    "firstTimeLogin": "Намагаєтеся вперше увійти? Облікові дані надруковані в журналах Frigate."
   }
 }
diff --git a/web/public/locales/uk/components/dialog.json b/web/public/locales/uk/components/dialog.json
index fadbb19e0..7ede7901b 100644
--- a/web/public/locales/uk/components/dialog.json
+++ b/web/public/locales/uk/components/dialog.json
@@ -57,7 +57,8 @@
         "endTimeMustAfterStartTime": "Час закінчення повинен бути після часу початку",
         "noVaildTimeSelected": "Не вибрано допустимий діапазон часу"
       },
-      "success": "Експорт успішно запущено. Файл доступний у теці /exports."
+      "success": "Експорт успішно розпочато. Перегляньте файл на сторінці експорту.",
+      "view": "Переглянути"
     },
     "fromTimeline": {
       "saveExport": "Зберегти експорт",
@@ -89,7 +90,8 @@
     "button": {
       "export": "Експорт",
       "markAsReviewed": "Позначити як переглянуте",
-      "deleteNow": "Вилучити зараз"
+      "deleteNow": "Вилучити зараз",
+      "markAsUnreviewed": "Позначити як непереглянуте"
     },
     "confirmDelete": {
       "title": "Підтвердити вилучення",
@@ -116,6 +118,7 @@
     "search": {
       "placeholder": "Пошук за міткою або підміткою..."
     },
-    "noImages": "Для цієї камери не знайдено мініатюр"
+    "noImages": "Для цієї камери не знайдено мініатюр",
+    "unknownLabel": "Збережене зображення тригера"
   }
 }
diff --git a/web/public/locales/uk/components/filter.json b/web/public/locales/uk/components/filter.json
index 5a29434af..a99867c0c 100644
--- a/web/public/locales/uk/components/filter.json
+++ b/web/public/locales/uk/components/filter.json
@@ -132,5 +132,9 @@
     },
     "count_one": "Клас {{count}}",
     "count_other": "{{count}} Класи"
+  },
+  "attributes": {
+    "label": "Атрибути класифікації",
+    "all": "Усі атрибути"
   }
 }
diff --git a/web/public/locales/uk/views/classificationModel.json b/web/public/locales/uk/views/classificationModel.json
new file mode 100644
index 000000000..a96997bc7
--- /dev/null
+++ b/web/public/locales/uk/views/classificationModel.json
@@ -0,0 +1,193 @@
+{
+  "documentTitle": "Моделі класифікації - Frigate",
+  "button": {
+    "deleteClassificationAttempts": "Видалити зображення класифікації",
+    "renameCategory": "Перейменувати клас",
+    "deleteCategory": "Видалити клас",
+    "deleteImages": "Видалити зображення",
+    "trainModel": "Модель поїзда",
+    "addClassification": "Додати класифікацію",
+    "deleteModels": "Видалити моделі",
+    "editModel": "Редагувати модель"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Видалений клас",
+      "deletedImage": "Видалені зображення",
+      "categorizedImage": "Зображення успішно класифіковано",
+      "trainedModel": "Успішно навчена модель.",
+      "trainingModel": "Успішно розпочато навчання моделі.",
+      "deletedModel_one": "Успішно видалено модель {{count}}",
+      "deletedModel_few": "Успішно видалено моделей {{count}}",
+      "deletedModel_many": "Успішно видалено моделі {{count}}",
+      "updatedModel": "Конфігурацію моделі успішно оновлено",
+      "renamedCategory": "Клас успішно перейменовано на {{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "Не вдалося видалити: {{errorMessage}}",
+      "deleteCategoryFailed": "Не вдалося видалити клас: {{errorMessage}}",
+      "categorizeFailed": "Не вдалося класифікувати зображення: {{errorMessage}}",
+      "trainingFailed": "Навчання моделі не вдалося. Перегляньте журнали Frigate для отримання детальної інформації.",
+      "deleteModelFailed": "Не вдалося видалити модель: {{errorMessage}}",
+      "updateModelFailed": "Не вдалося оновити модель: {{errorMessage}}",
+      "renameCategoryFailed": "Не вдалося перейменувати клас: {{errorMessage}}",
+      "trainingFailedToStart": "Не вдалося розпочати навчання моделі: {{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "Видалити клас",
+    "desc": "Ви впевнені, що хочете видалити клас {{name}}? Це назавжди видалить усі пов'язані зображення та вимагатиме повторного навчання моделі.",
+    "minClassesTitle": "Не вдається видалити клас",
+    "minClassesDesc": "Модель класифікації повинна мати щонайменше 2 класи. Додайте ще один клас, перш ніж видаляти цей."
+  },
+  "deleteDatasetImages": {
+    "title": "Видалити зображення набору даних",
+    "desc_one": "Ви впевнені, що хочете видалити {{count}} зображень з {{dataset}}? Цю дію неможливо скасувати, вона вимагатиме повторного навчання моделі.",
+    "desc_few": "Ви впевнені, що хочете видалити {{count}} зображенні з {{dataset}}? Цю дію неможливо скасувати, вона вимагатиме повторного навчання моделі.",
+    "desc_many": "Ви впевнені, що хочете видалити {{count}} зображенні з {{dataset}}? Цю дію неможливо скасувати, вона вимагатиме повторного навчання моделі."
+  },
+  "deleteTrainImages": {
+    "title": "Видалити зображення поїздів",
+    "desc_one": "Ви впевнені, що хочете видалити {{count}} зображень? Цю дію не можна скасувати.",
+    "desc_few": "Ви впевнені, що хочете видалити {{count}} зображенні? Цю дію не можна скасувати.",
+    "desc_many": "Ви впевнені, що хочете видалити {{count}} зображенні? Цю дію не можна скасувати."
+  },
+  "renameCategory": {
+    "title": "Перейменувати клас",
+    "desc": "Введіть нову назву для {{name}}. Вам потрібно буде перенавчити модель, щоб зміна назви набула чинності."
+  },
+  "description": {
+    "invalidName": "Недійсне ім'я. Ім'я може містити лише літери, цифри, пробіли, апострофи, символи підкреслення та дефіси."
+  },
+  "train": {
+    "title": "Нещодавні класифікації",
+    "titleShort": "Нещодавні",
+    "aria": "Виберіть останні класифікації"
+  },
+  "categories": "Заняття",
+  "createCategory": {
+    "new": "Створити новий клас"
+  },
+  "categorizeImageAs": "Класифікувати зображення як:",
+  "categorizeImage": "Класифікувати зображення",
+  "noModels": {
+    "object": {
+      "title": "Без моделей класифікації об'єктів",
+      "description": "Створіть власну модель для класифікації виявлених об'єктів.",
+      "buttonText": "Створення об'єктної моделі"
+    },
+    "state": {
+      "title": "Без моделей класифікації штатів",
+      "description": "Створіть власну модель для моніторингу та класифікації змін стану в певних областях камери.",
+      "buttonText": "Створити модель стану"
+    }
+  },
+  "wizard": {
+    "title": "Створити нову класифікацію",
+    "steps": {
+      "nameAndDefine": "Назва та визначення",
+      "stateArea": "Площа штату",
+      "chooseExamples": "Виберіть приклади"
+    },
+    "step1": {
+      "description": "Моделі станів відстежують зміни в зонах дії фіксованих камер (наприклад, відкриття/закриття дверей). Моделі об'єктів додають класифікації до виявлених об'єктів (наприклад, відомі тварини, кур'єри тощо).",
+      "name": "Ім'я",
+      "namePlaceholder": "Введіть назву моделі...",
+      "type": "Тип",
+      "typeState": "Штат",
+      "typeObject": "Об'єкт",
+      "objectLabel": "Мітка об'єкта",
+      "objectLabelPlaceholder": "Виберіть тип об'єкта...",
+      "classificationType": "Тип класифікації",
+      "classificationTypeTip": "Дізнайтеся про типи класифікації",
+      "classificationTypeDesc": "Підмітки додають додатковий текст до мітки об’єкта (наприклад, «Особа: UPS»). Атрибути – це метадані для пошуку, що зберігаються окремо в метаданих об’єкта.",
+      "classificationSubLabel": "Підмітка",
+      "classificationAttribute": "Атрибут",
+      "classes": "Заняття",
+      "classesTip": "Дізнайтеся про заняття",
+      "classesStateDesc": "Визначте різні стани, в яких може перебувати зона вашої камери. Наприклад: «відкрито» та «закрито» для гаражних воріт.",
+      "classesObjectDesc": "Визначте різні категорії для класифікації виявлених об'єктів. Наприклад: «доставник», «мешканець», «незнайомець» для класифікації осіб.",
+      "classPlaceholder": "Введіть назву класу...",
+      "errors": {
+        "nameRequired": "Назва моделі обов'язкова",
+        "nameLength": "Назва моделі має містити не більше 64 символів",
+        "nameOnlyNumbers": "Назва моделі не може містити лише цифри",
+        "classRequired": "Потрібно хоча б 1 заняття",
+        "classesUnique": "Назви класів мають бути унікальними",
+        "stateRequiresTwoClasses": "Моделі станів вимагають щонайменше 2 класів",
+        "objectLabelRequired": "Будь ласка, виберіть мітку об'єкта",
+        "objectTypeRequired": "Будь ласка, виберіть тип класифікації",
+        "noneNotAllowed": "Клас «none» не дозволено"
+      },
+      "states": "Штати"
+    },
+    "step2": {
+      "description": "Виберіть камери та визначте область для моніторингу для кожної камери. Модель класифікуватиме стан цих областей.",
+      "cameras": "Камери",
+      "selectCamera": "Виберіть Камеру",
+      "noCameras": "Натисніть +, щоб додати камери",
+      "selectCameraPrompt": "Виберіть камеру зі списку, щоб визначити її зону спостереження"
+    },
+    "step3": {
+      "selectImagesPrompt": "Виберіть усі зображення з: {{className}}",
+      "selectImagesDescription": "Натисніть на зображення, щоб вибрати їх. Натисніть «Продовжити», коли закінчите з цим уроком.",
+      "generating": {
+        "title": "Створення зразків зображень",
+        "description": "Фрегат отримує типові зображення з ваших записів. Це може зайняти деякий час..."
+      },
+      "training": {
+        "title": "Модель навчання",
+        "description": "Ваша модель навчається у фоновому режимі. Закрийте це діалогове вікно, і ваша модель почне працювати, щойно навчання буде завершено."
+      },
+      "retryGenerate": "Генерація повторних спроб",
+      "noImages": "Немає згенерованих зразків зображень",
+      "classifying": "Класифікація та навчання...",
+      "trainingStarted": "Навчання розпочалося успішно",
+      "errors": {
+        "noCameras": "Немає налаштованих камер",
+        "noObjectLabel": "Мітку об'єкта не вибрано",
+        "generateFailed": "Не вдалося створити приклади: {{error}}",
+        "generationFailed": "Помилка генерації. Будь ласка, спробуйте ще раз.",
+        "classifyFailed": "Не вдалося класифікувати зображення: {{error}}"
+      },
+      "generateSuccess": "Зразки зображень успішно створено",
+      "allImagesRequired_one": "Будь ласка, класифікуйте всі зображення. Залишилося {{count}} зображення.",
+      "allImagesRequired_few": "Будь ласка, класифікуйте всі зображення. Залишилося зображень: {{count}}.",
+      "allImagesRequired_many": "Будь ласка, класифікуйте всі зображення. Залишилося зображень: {{count}}.",
+      "modelCreated": "Модель успішно створено. Використовуйте режим перегляду «Нещодавні класифікації», щоб додати зображення для відсутніх станів, а потім навчіть модель.",
+      "missingStatesWarning": {
+        "title": "Приклади відсутніх станів",
+        "description": "Для найкращих результатів рекомендується вибрати приклади для всіх станів. Ви можете продовжити, не вибираючи всі стани, але модель не буде навчена, доки всі стани не матимуть зображень. Після продовження скористайтеся поданням «Нещодавні класифікації», щоб класифікувати зображення для відсутніх станів, а потім навчіть модель."
+      }
+    }
+  },
+  "deleteModel": {
+    "title": "Видалити модель класифікації",
+    "single": "Ви впевнені, що хочете видалити {{name}}? Це назавжди видалить усі пов’язані дані, включаючи зображення та дані навчання. Цю дію не можна скасувати.",
+    "desc_one": "Ви впевнені, що хочете видалити {{count}} модель? Це назавжди видалить усі пов’язані дані, включаючи зображення та навчальні дані. Цю дію не можна скасувати.",
+    "desc_few": "Ви впевнені, що хочете видалити {{count}} моделей? Це назавжди видалить усі пов’язані дані, включаючи зображення та навчальні дані. Цю дію не можна скасувати.",
+    "desc_many": "Ви впевнені, що хочете видалити {{count}} моделі? Це назавжди видалить усі пов’язані дані, включаючи зображення та навчальні дані. Цю дію не можна скасувати."
+  },
+  "menu": {
+    "objects": "Об'єкти",
+    "states": "Стани"
+  },
+  "details": {
+    "scoreInfo": "Оцінка представляє середню достовірність класифікації для всіх виявлень цього об'єкта.",
+    "none": "Жоден",
+    "unknown": "Невідомо"
+  },
+  "edit": {
+    "title": "Редагувати модель класифікації",
+    "descriptionState": "Відредагуйте класи для цієї моделі класифікації штатів. Зміни вимагатимуть перенавчання моделі.",
+    "descriptionObject": "Відредагуйте тип об'єкта та тип класифікації для цієї моделі класифікації об'єктів.",
+    "stateClassesInfo": "Примітка: Зміна класів станів вимагає перенавчання моделі з використанням оновлених класів."
+  },
+  "tooltip": {
+    "trainingInProgress": "Модель зараз тренується",
+    "noNewImages": "Немає нових зображень для навчання. Спочатку класифікуйте більше зображень у наборі даних.",
+    "modelNotReady": "Модель не готова до навчання",
+    "noChanges": "З моменту останнього навчання в наборі даних не було змін."
+  },
+  "none": "Жоден"
+}
diff --git a/web/public/locales/uk/views/events.json b/web/public/locales/uk/views/events.json
index 4496b3915..5b3c20443 100644
--- a/web/public/locales/uk/views/events.json
+++ b/web/public/locales/uk/views/events.json
@@ -12,7 +12,11 @@
   "empty": {
     "alert": "Немає попереджень для перегляду",
     "detection": "Немає ніяких ознак",
-    "motion": "Даних про рух не знайдено"
+    "motion": "Даних про рух не знайдено",
+    "recordingsDisabled": {
+      "title": "Записи мають бути ввімкнені",
+      "description": "Елементи рецензування можна створювати для камери, лише якщо для цієї камери ввімкнено запис."
+    }
   },
   "timeline": "Хронологія",
   "timeline.aria": "Вибрати хронiку",
@@ -36,5 +40,28 @@
   },
   "detected": "виявлено",
   "suspiciousActivity": "Підозріла активність",
-  "threateningActivity": "Загрозлива діяльність"
+  "threateningActivity": "Загрозлива діяльність",
+  "detail": {
+    "noDataFound": "Немає детальних даних для перегляду",
+    "aria": "Перемикання детального перегляду",
+    "trackedObject_one": "{{count}} об'єкт",
+    "trackedObject_other": "{{count}} об'єкти",
+    "noObjectDetailData": "Детальні дані про об'єкт недоступні.",
+    "label": "Деталь",
+    "settings": "Налаштування детального перегляду",
+    "alwaysExpandActive": {
+      "title": "Завжди розгортати активне",
+      "desc": "Завжди розгортайте деталі об'єкта активного елемента огляду, якщо вони доступні."
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Відстежувана Точка",
+    "clickToSeek": "Натисніть, щоб перейти до цього часу"
+  },
+  "zoomIn": "Збільшити масштаб",
+  "zoomOut": "Зменшити масштаб",
+  "normalActivity": "Звичайний",
+  "needsReview": "Потребує перегляду",
+  "securityConcern": "Проблема безпеки",
+  "select_all": "Усі"
 }
diff --git a/web/public/locales/uk/views/explore.json b/web/public/locales/uk/views/explore.json
index f4691c2ee..0c7863e05 100644
--- a/web/public/locales/uk/views/explore.json
+++ b/web/public/locales/uk/views/explore.json
@@ -35,7 +35,9 @@
         "error": "Не вдалося видалити відстежуваний об'єкт: {{errorMessage}}",
         "success": "Відстежуваний об'єкт успішно видалено."
       }
-    }
+    },
+    "previousTrackedObject": "Попередній відстежуваний об'єкт",
+    "nextTrackedObject": "Наступний відстежуваний об'єкт"
   },
   "trackedObjectsCount_one": "{{count}} відстежуваний об'єкт ",
   "trackedObjectsCount_few": "{{count}} відстежувані об'єкти ",
@@ -102,13 +104,15 @@
           "updatedLPR": "Номерний знак успішно оновлено.",
           "updatedSublabel": "Підмітку успішно оновлено.",
           "regenerate": "Новий опис було запрошено від {{provider}}. Залежно від швидкості вашого провайдера, його перегенерація може зайняти деякий час.",
-          "audioTranscription": "Запит на аудіотранскрипцію успішно надіслано."
+          "audioTranscription": "Запит на аудіотранскрипцію успішно надіслано. Залежно від швидкості вашого сервера Frigate, транскрипція може тривати деякий час.",
+          "updatedAttributes": "Атрибути успішно оновлено."
         },
         "error": {
           "regenerate": "Не вдалося звернутися до {{provider}} для отримання нового опису: {{errorMessage}}",
           "updatedSublabelFailed": "Не вдалося оновити підмітку: {{errorMessage}}",
           "updatedLPRFailed": "Не вдалося оновити номерний знак: {{errorMessage}}",
-          "audioTranscription": "Не вдалося надіслати запит на транскрипцію аудіо: {{errorMessage}}"
+          "audioTranscription": "Не вдалося надіслати запит на транскрипцію аудіо: {{errorMessage}}",
+          "updatedAttributesFailed": "Не вдалося оновити атрибути: {{errorMessage}}"
         }
       },
       "button": {
@@ -163,12 +167,20 @@
     "regenerateFromSnapshot": "Відновити зі знімка",
     "score": {
       "label": "Оцінка"
+    },
+    "editAttributes": {
+      "title": "Редагувати атрибути",
+      "desc": "Виберіть атрибути класифікації для цього {{label}}"
+    },
+    "attributes": "Атрибути класифікації",
+    "title": {
+      "label": "Назва"
     }
   },
   "dialog": {
     "confirmDelete": {
       "title": "Підтвердити видалення",
-      "desc": "Видалення цього відстежуваного об’єкта призведе до видалення знімка, будь-яких збережених вбудованих елементів та будь-яких пов’язаних записів життєвого циклу об’єкта. Записані кадри цього відстежуваного об’єкта в режимі перегляду історії <em>НЕ</em> будуть видалені.<br /><br />Ви впевнені, що хочете продовжити?"
+      "desc": "Видалення цього відстежуваного об'єкта призведе до видалення знімка, усіх збережених вбудованих даних та усіх пов'язаних записів деталей відстеження. Записані кадри цього відстежуваного об'єкта в режимі перегляду історії <em>НЕ</em> будуть видалені.<br /><br />Ви впевнені, що хочете продовжити?"
     }
   },
   "itemMenu": {
@@ -206,6 +218,20 @@
     "audioTranscription": {
       "label": "Транскрибувати",
       "aria": "Запит на аудіотранскрипцію"
+    },
+    "viewTrackingDetails": {
+      "label": "Переглянути деталі відстеження",
+      "aria": "Показати деталі відстеження"
+    },
+    "showObjectDetails": {
+      "label": "Показати шлях до об'єкта"
+    },
+    "hideObjectDetails": {
+      "label": "Приховати шлях до об'єкта"
+    },
+    "downloadCleanSnapshot": {
+      "label": "Завантажити чистий знімок",
+      "aria": "Завантажити чистий знімок"
     }
   },
   "noTrackedObjects": "Відстежуваних об'єктів не знайдено",
@@ -216,7 +242,9 @@
     "details": "деталі",
     "snapshot": "знімок",
     "video": "відео",
-    "object_lifecycle": "життєвий цикл об'єкта"
+    "object_lifecycle": "життєвий цикл об'єкта",
+    "thumbnail": "мініатюра",
+    "tracking_details": "деталі відстеження"
   },
   "exploreMore": "Дослідіть більше об'єктів {{label}}",
   "aiAnalysis": {
@@ -224,5 +252,54 @@
   },
   "concerns": {
     "label": "Проблеми"
+  },
+  "trackingDetails": {
+    "title": "Деталі відстеження",
+    "noImageFound": "Для цієї позначки часу не знайдено зображення.",
+    "createObjectMask": "Створити маску об'єкта",
+    "adjustAnnotationSettings": "Налаштування параметрів анотацій",
+    "scrollViewTips": "Натисніть, щоб переглянути важливі моменти життєвого циклу цього об'єкта.",
+    "autoTrackingTips": "Положення обмежувальних рамок будуть неточними для камер з автоматичним відстеженням.",
+    "count": "{{first}} з {{second}}",
+    "trackedPoint": "Відстежувана точка",
+    "lifecycleItemDesc": {
+      "visible": "Виявлено {{label}}",
+      "entered_zone": "{{label}} увійшов до {{zones}}",
+      "active": "{{label}} став активним",
+      "stationary": "{{label}} став нерухомим",
+      "attribute": {
+        "faceOrLicense_plate": "Виявлено атрибут {{attribute}} для {{label}}",
+        "other": "{{label}} розпізнано як {{attribute}}"
+      },
+      "gone": "{{label}} залишилося",
+      "heard": "{{label}} почув(ла)",
+      "external": "Виявлено {{label}}",
+      "header": {
+        "zones": "Зони",
+        "ratio": "Співвідношення",
+        "area": "Площа",
+        "score": "Рахунок"
+      }
+    },
+    "annotationSettings": {
+      "title": "Налаштування анотацій",
+      "showAllZones": {
+        "title": "Показати всі зони",
+        "desc": "Завжди показувати зони на кадрах, де об'єкти увійшли в зону."
+      },
+      "offset": {
+        "label": "Зсув анотації",
+        "desc": "Ці дані надходять із каналу виявлення вашої камери, але накладаються на зображення з каналу запису. Малоймовірно, що ці два потоки будуть ідеально синхронізовані. Як результат, обмежувальна рамка та відеоматеріал не будуть ідеально збігатися. Ви можете використовувати це налаштування, щоб змістити анотації вперед або назад у часі, щоб краще узгодити їх із записаним відеоматеріалом.",
+        "millisecondsToOffset": "Мілісекунди для зміщення виявлених анотацій. <em>За замовчуванням: 0</em>",
+        "tips": "Зменште значення, якщо відтворення відео відбувається попереду блоків та точок шляху, і збільште значення, якщо відтворення відео відбувається позаду них. Це значення може бути від’ємним.",
+        "toast": {
+          "success": "Зміщення анотації для {{camera}} було збережено у файлі конфігурації."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Попередній слайд",
+      "next": "Наступний слайд"
+    }
   }
 }
diff --git a/web/public/locales/uk/views/exports.json b/web/public/locales/uk/views/exports.json
index 55ee0e3e8..6b4108f4d 100644
--- a/web/public/locales/uk/views/exports.json
+++ b/web/public/locales/uk/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "Не вдалося перейменувати експорт: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Поділитися експортом",
+    "downloadVideo": "Завантажити відео",
+    "editName": "Редагувати ім'я",
+    "deleteExport": "Видалити експорт"
   }
 }
diff --git a/web/public/locales/uk/views/faceLibrary.json b/web/public/locales/uk/views/faceLibrary.json
index 34f420704..1170e3ee1 100644
--- a/web/public/locales/uk/views/faceLibrary.json
+++ b/web/public/locales/uk/views/faceLibrary.json
@@ -17,7 +17,7 @@
       "trainFailed": "Не вдалося тренуватися: {{errorMessage}}"
     },
     "success": {
-      "updatedFaceScore": "Оцінку обличчя успішно оновлено.",
+      "updatedFaceScore": "Оцінку обличчя успішно оновлено до {{name}} ({{score}}).",
       "deletedName_one": "{{count}} Обличчя успішно видалено.",
       "deletedName_few": "{{count}} Обличчі успішно видалено.",
       "deletedName_many": "{{count}} Облич. успішно видалено.",
@@ -66,12 +66,12 @@
       "selectImage": "Будь ласка, виберіть файл зображення."
     },
     "dropActive": "Скинь зображення сюди…",
-    "dropInstructions": "Перетягніть зображення сюди або клацніть, щоб вибрати"
+    "dropInstructions": "Перетягніть або вставте зображення сюди, або клацніть, щоб вибрати"
   },
   "trainFaceAs": "Тренуйте обличчя як:",
   "trainFace": "Обличчя поїзда",
   "description": {
-    "addFace": "Покрокові інструкції з додавання нової колекції до Бібліотеки облич.",
+    "addFace": "Додайте нову колекцію до Бібліотеки облич, завантаживши своє перше зображення.",
     "placeholder": "Введіть назву для цієї колекції",
     "invalidName": "Недійсне ім'я. Ім'я може містити лише літери, цифри, пробіли, апострофи, символи підкреслення та дефіси."
   },
@@ -83,12 +83,13 @@
     "title": "Створити колекцію",
     "desc": "Створити нову колекцію",
     "new": "Створити нове обличчя",
-    "nextSteps": "Щоб створити міцну основу:<li>Використовуйте вкладку «Навчання», щоб вибрати та навчити зображення для кожної виявленої особи.</li><li>Для найкращих результатів зосередьтеся на зображеннях, спрямованих прямо в обличчя; уникайте навчальних зображень, які фіксують обличчя під кутом.</li></ul>"
+    "nextSteps": "Щоб створити міцну основу:<li>Використовуйте вкладку «Недавні розпізнавання», щоб вибрати та навчити систему розпізнавати зображення для кожної виявленої особи.</li><li>Для досягнення найкращих результатів зосередьтеся на прямих зображеннях; уникайте навчання зображень, на яких обличчя зняті під кутом.</li></ul>"
   },
   "train": {
-    "title": "Поїзд",
-    "aria": "Виберіть поїзд",
-    "empty": "Немає останніх спроб розпізнавання обличчя"
+    "title": "Нещодавні визнання",
+    "aria": "Виберіть нещодавні визнання",
+    "empty": "Немає останніх спроб розпізнавання обличчя",
+    "titleShort": "Нещодавні"
   },
   "collections": "Колекції",
   "deleteFaceAttempts": {
diff --git a/web/public/locales/uk/views/live.json b/web/public/locales/uk/views/live.json
index 8b2248ffc..0b8b405b2 100644
--- a/web/public/locales/uk/views/live.json
+++ b/web/public/locales/uk/views/live.json
@@ -10,8 +10,8 @@
       "label": "Грати у фоновому режимі",
       "desc": "Увімкніть цей параметр, щоб продовжувати потокове передавання, коли програвач приховано."
     },
-    "tips": "Запустіть ручну подію на основі параметрів збереження запису цієї камери.",
-    "title": "Запис на вимогу",
+    "tips": "Завантажте миттєвий знімок або запустіть ручну подію на основі налаштувань збереження запису цієї камери.",
+    "title": "На-вимогу",
     "debugView": "Режим зневаджування",
     "start": "Почати запис за запитом",
     "failedToStart": "Не вдалося запустити ручний запис на вимогу.",
@@ -170,5 +170,20 @@
   "transcription": {
     "enable": "Увімкнути транскрипцію аудіо в реальному часі",
     "disable": "Вимкнути транскрипцію аудіо в реальному часі"
+  },
+  "noCameras": {
+    "title": "Немає налаштованих камер",
+    "description": "Почніть з підключення камери до Frigate.",
+    "buttonText": "Додати камеру",
+    "restricted": {
+      "title": "Немає Доступних Камер",
+      "description": "У вас немає дозволу на перегляд будь-яких камер у цій групі."
+    }
+  },
+  "snapshot": {
+    "takeSnapshot": "Завантажити миттєвий знімок",
+    "noVideoSource": "Немає доступного джерела відео для знімка.",
+    "captureFailed": "Не вдалося зробити знімок.",
+    "downloadStarted": "Розпочато завантаження знімка."
   }
 }
diff --git a/web/public/locales/uk/views/search.json b/web/public/locales/uk/views/search.json
index 0d8657e3d..052b4c457 100644
--- a/web/public/locales/uk/views/search.json
+++ b/web/public/locales/uk/views/search.json
@@ -34,7 +34,8 @@
       "max_speed": "Максимальна швидкість",
       "recognized_license_plate": "Розпізнаний номерний знак",
       "has_clip": "Має клiп",
-      "has_snapshot": "Має знiмок"
+      "has_snapshot": "Має знiмок",
+      "attributes": "Атрибути"
     },
     "searchType": {
       "thumbnail": "Мініатюра",
diff --git a/web/public/locales/uk/views/settings.json b/web/public/locales/uk/views/settings.json
index 24ff6db8b..661196ec1 100644
--- a/web/public/locales/uk/views/settings.json
+++ b/web/public/locales/uk/views/settings.json
@@ -142,8 +142,8 @@
       "edit": "Редагувати маску руху",
       "toast": {
         "success": {
-          "title": "{{polygonName}} збережено. Перезапустіть Frigate, щоб застосувати зміни.",
-          "noName": "Маску руху збережено. Перезапустіть Frigate, щоб застосувати зміни."
+          "title": "{{polygonName}} збережено.",
+          "noName": "Маску руху збережено."
         }
       },
       "label": "Маска руху",
@@ -161,7 +161,7 @@
       "name": {
         "inputPlaceHolder": "Введіть назву…",
         "title": "Ім'я",
-        "tips": "Назва має містити щонайменше 2 символи та не повинна бути назвою камери чи іншої зони."
+        "tips": "Назва має містити щонайменше 2 символи, принаймні одну літеру та не повинна бути назвою камери чи іншої зони на цій камері."
       },
       "desc": {
         "title": "Зони дозволяють визначити певну область кадру, щоб ви могли визначити, чи знаходиться об'єкт у певній області.",
@@ -207,7 +207,7 @@
         "desc": "Список об'єктів, що належать до цієї зони."
       },
       "toast": {
-        "success": "Зону ({{zoneName}}) збережено. Перезапустіть Frigate, щоб застосувати зміни."
+        "success": "Зону ({{zoneName}}) збережено."
       }
     },
     "objectMasks": {
@@ -230,8 +230,8 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} збережено. Перезапустіть Frigate, щоб застосувати зміни.",
-          "noName": "Маску об'єкта збережено. Перезапустіть Frigate, щоб застосувати зміни."
+          "title": "{{polygonName}} збережено.",
+          "noName": "Маску об'єкта збережено."
         }
       },
       "label": "Маски об'єктів"
@@ -252,7 +252,8 @@
           "mustNotContainPeriod": "Назва зони не повинна містити крапок.",
           "mustNotBeSameWithCamera": "Назва зони не повинна збігатися з назвою камери.",
           "mustBeAtLeastTwoCharacters": "Назва зони має містити щонайменше 2 символи.",
-          "hasIllegalCharacter": "Назва зони містить недопустимі символи."
+          "hasIllegalCharacter": "Назва зони містить недопустимі символи.",
+          "mustHaveAtLeastOneLetter": "Назва зони повинна містити щонайменше одну літеру."
         }
       },
       "polygonDrawing": {
@@ -477,7 +478,7 @@
         "monday": "Понеділок"
       }
     },
-    "title": "Загальна налаштування",
+    "title": "Налаштування інтерфейсу користувача",
     "liveDashboard": {
       "title": "Панель керування в прямому ефірі",
       "automaticLiveView": {
@@ -487,6 +488,14 @@
       "playAlertVideos": {
         "label": "Відтворити відео зі сповіщеннями",
         "desc": "За замовчуванням останні сповіщення на панелі керування Live відтворюються як невеликі відеозаписи, що циклічно відтворюються. Вимкніть цю опцію, щоб відображати лише статичне зображення останніх сповіщень на цьому пристрої/у браузері."
+      },
+      "displayCameraNames": {
+        "label": "Завжди показувати назви камер",
+        "desc": "Завжди відображати назви камер у чіпі на панелі керування режимом живого перегляду з кількох камер."
+      },
+      "liveFallbackTimeout": {
+        "label": "Час очікування резервного програвача в реальному часі",
+        "desc": "Коли високоякісна пряма трансляція з камери недоступна, повернутися до режиму низької пропускної здатності через певну кількість секунд. За замовчуванням: 3."
       }
     },
     "storedLayouts": {
@@ -549,9 +558,11 @@
     "classification": "Налаштування класифікації – Фрегат",
     "masksAndZones": "Редактор масок та зон – Фрегат",
     "motionTuner": "Тюнер руху - Фрегат",
-    "general": "Основна Налаштуваннях – Frigate",
+    "general": "Основна Статус – Frigate",
     "frigatePlus": "Налаштування Frigate+ – Frigate",
-    "enrichments": "Налаштуваннях збагачення – Frigate"
+    "enrichments": "Налаштуваннях збагачення – Frigate",
+    "cameraManagement": "Керування камерами - Frigate",
+    "cameraReview": "Налаштування перегляду камери - Frigate"
   },
   "menu": {
     "ui": "Інтерфейс користувача",
@@ -563,8 +574,11 @@
     "debug": "Налагодження",
     "notifications": "Сповіщення",
     "frigateplus": "Frigate+",
-    "enrichments": "Збагачення",
-    "triggers": "Тригери"
+    "enrichments": "Збагаченням",
+    "triggers": "Тригери",
+    "roles": "Ролі",
+    "cameraManagement": "Управління",
+    "cameraReview": "Огляду"
   },
   "dialog": {
     "unsavedChanges": {
@@ -582,7 +596,7 @@
       "desc": "Керувати обліковими записами користувачів цього екземпляра Frigate."
     },
     "addUser": "Додати користувача",
-    "updatePassword": "Оновити пароль",
+    "updatePassword": "Скинути пароль",
     "toast": {
       "success": {
         "deleteUser": "Користувач {{user}} успішно видалений",
@@ -598,7 +612,7 @@
       }
     },
     "table": {
-      "password": "Пароль",
+      "password": "Скинути пароль",
       "deleteUser": "Видалити користувача",
       "username": "Ім'я користувача",
       "actions": "Дії",
@@ -628,6 +642,15 @@
           "confirm": {
             "title": "Підтвердьте пароль",
             "placeholder": "Підтвердьте пароль"
+          },
+          "show": "Показати пароль",
+          "hide": "Приховати пароль",
+          "requirements": {
+            "title": "Вимоги до пароля:",
+            "length": "Принаймні 8 символів",
+            "uppercase": "Принаймні одна велика літера",
+            "digit": "Принаймні одна цифра",
+            "special": "Принаймні один спеціальний символ (!@#$%^&*(),.?\":{}|<>)"
           }
         },
         "newPassword": {
@@ -638,7 +661,11 @@
           "placeholder": "Введіть новий пароль"
         },
         "usernameIsRequired": "Потрібне ім'я користувача",
-        "passwordIsRequired": "Потрібен пароль"
+        "passwordIsRequired": "Потрібен пароль",
+        "currentPassword": {
+          "title": "Поточний пароль",
+          "placeholder": "Введіть свій поточний пароль"
+        }
       },
       "changeRole": {
         "roleInfo": {
@@ -669,7 +696,12 @@
         "setPassword": "Встановити пароль",
         "desc": "Створіть надійний пароль для захисту цього облікового запису.",
         "cannotBeEmpty": "Пароль не може бути порожнім",
-        "doNotMatch": "Паролі не збігаються"
+        "doNotMatch": "Паролі не збігаються",
+        "currentPasswordRequired": "Потрібно ввести поточний пароль",
+        "incorrectCurrentPassword": "Поточний пароль неправильний",
+        "passwordVerificationFailed": "Не вдалося перевірити пароль",
+        "multiDeviceWarning": "На будь-яких інших пристроях, на яких ви ввійшли в систему, потрібно буде повторно ввійти протягом {{refresh_time}}.",
+        "multiDeviceAdmin": "Ви також можете змусити всіх користувачів негайно повторно автентифікуватися, змінивши свій JWT-секрет."
       }
     },
     "title": "Користувачі"
@@ -739,7 +771,7 @@
   "triggers": {
     "documentTitle": "Тригери",
     "management": {
-      "title": "Управління тригерами",
+      "title": "Тригери",
       "desc": "Керуйте тригерами для {{camera}}. Використовуйте тип мініатюри для спрацьовування на схожих мініатюрах до вибраного об’єкта відстеження, а тип опису – для спрацьовування на схожих описах до вказаного вами тексту."
     },
     "addTrigger": "Додати Тригер",
@@ -760,7 +792,9 @@
     },
     "actions": {
       "alert": "Позначити як сповіщення",
-      "notification": "Надіслати сповіщення"
+      "notification": "Надіслати сповіщення",
+      "sub_label": "Додати підмітку",
+      "attribute": "Додати атрибут"
     },
     "dialog": {
       "createTrigger": {
@@ -778,25 +812,28 @@
       "form": {
         "name": {
           "title": "Ім'я",
-          "placeholder": "Введіть назву тригера",
+          "placeholder": "Назвіть цей тригер",
           "error": {
-            "minLength": "Ім'я має містити щонайменше 2 символи.",
-            "invalidCharacters": "Ім'я може містити лише літери, цифри, символи підкреслення та дефіси.",
+            "minLength": "Поле має містити щонайменше 2 символи.",
+            "invalidCharacters": "Поле може містити лише літери, цифри, символи підкреслення та дефіси.",
             "alreadyExists": "Тригер із такою назвою вже існує для цієї камери."
-          }
+          },
+          "description": "Введіть унікальну назву або опис, щоб ідентифікувати цей тригер"
         },
         "enabled": {
           "description": "Увімкнути або вимкнути цей тригер"
         },
         "type": {
           "title": "Тип",
-          "placeholder": "Виберіть тип тригера"
+          "placeholder": "Виберіть тип тригера",
+          "description": "Спрацьовує, коли виявляється схожий опис відстежуваного об'єкта",
+          "thumbnail": "Спрацьовує, коли виявляється мініатюра схожого відстежуваного об'єкта"
         },
         "content": {
           "title": "Зміст",
-          "imagePlaceholder": "Виберіть зображення",
+          "imagePlaceholder": "Виберіть мініатюру",
           "textPlaceholder": "Введіть текстовий вміст",
-          "imageDesc": "Виберіть зображення, щоб запустити цю дію, коли буде виявлено схоже зображення.",
+          "imageDesc": "Відображаються лише 100 останніх мініатюр. Якщо ви не можете знайти потрібну мініатюру, перегляньте попередні об’єкти в розділі «Огляд» і налаштуйте тригер у меню.",
           "textDesc": "Введіть текст, щоб запустити цю дію, коли буде виявлено схожий опис відстежуваного об’єкта.",
           "error": {
             "required": "Контент обов'язковий."
@@ -807,14 +844,20 @@
           "error": {
             "min": "Поріг має бути щонайменше 0",
             "max": "Поріг має бути не більше 1"
-          }
+          },
+          "desc": "Встановіть поріг подібності для цього тригера. Вищий поріг означає, що для спрацьовування тригера потрібна ближча відповідність."
         },
         "actions": {
           "title": "Дії",
-          "desc": "За замовчуванням Frigate надсилає повідомлення MQTT для всіх тригерів. Виберіть додаткову дію, яку потрібно виконати, коли цей тригер спрацьовує.",
+          "desc": "За замовчуванням Frigate надсилає повідомлення MQTT для всіх тригерів. Підмітки додають назву тригера до мітки об'єкта. Атрибути – це метадані, які можна шукати, що зберігаються окремо в метаданих відстежуваного об'єкта.",
           "error": {
             "min": "Потрібно вибрати принаймні одну дію."
           }
+        },
+        "friendly_name": {
+          "title": "Зрозуміле ім'я",
+          "placeholder": "Назвіть або опишіть цей тригер",
+          "description": "Зрозуміла назва або описовий текст (необов'язково) для цього тригера."
         }
       }
     },
@@ -829,6 +872,27 @@
         "updateTriggerFailed": "Не вдалося оновити тригер: {{errorMessage}}",
         "deleteTriggerFailed": "Не вдалося видалити тригер: {{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "title": "Семантичний пошук вимкнено",
+      "desc": "Для використання тригерів необхідно ввімкнути семантичний пошук."
+    },
+    "wizard": {
+      "title": "Створити тригер",
+      "step1": {
+        "description": "Налаштуйте основні параметри для вашого тригера."
+      },
+      "step2": {
+        "description": "Налаштуйте контент, який запускатиме цю дію."
+      },
+      "step3": {
+        "description": "Налаштуйте поріг та дії для цього тригера."
+      },
+      "steps": {
+        "nameAndType": "Ім'я та тип",
+        "configureData": "Налаштувати дані",
+        "thresholdAndActions": "Поріг та дії"
+      }
     }
   },
   "roles": {
@@ -846,7 +910,9 @@
         "createRole": "Роль {{role}} успішно створена",
         "updateCameras": "Камери оновлено для ролі {{role}}",
         "deleteRole": "Роль {{role}} успішно видалено",
-        "userRolesUpdated": "Користувачів ({{count}}), яким призначено цю роль, оновлено до ролі «глядача», що має доступ до всіх камер."
+        "userRolesUpdated_one": "{{count}} користувача, призначену цій ролі, оновлено до «глядача», який має доступ до всіх камер.",
+        "userRolesUpdated_few": "{{count}} Користувачі, яким призначено цю роль, оновлено до ролі «глядача», що має доступ до всіх камер.",
+        "userRolesUpdated_many": "{{count}} Користувачів, яким призначено цю роль, оновлено до ролі «глядача», що має доступ до всіх камер."
       },
       "error": {
         "createRoleFailed": "Не вдалося створити роль: {{errorMessage}}",
@@ -890,5 +956,358 @@
         }
       }
     }
+  },
+  "cameraWizard": {
+    "title": "Додати камеру",
+    "description": "Виконайте наведені нижче кроки, щоб додати нову камеру до вашої установки Frigate.",
+    "steps": {
+      "nameAndConnection": "Ім'я та з'єднання",
+      "streamConfiguration": "Конфігурація потоку",
+      "validationAndTesting": "Валідація та тестування",
+      "probeOrSnapshot": "Зонд або знімок"
+    },
+    "save": {
+      "success": "Нову камеру успішно збережено {{cameraName}}.",
+      "failure": "Помилка збереження {{cameraName}}."
+    },
+    "testResultLabels": {
+      "resolution": "Роздільна здатність",
+      "video": "Відео",
+      "audio": "Аудіо",
+      "fps": "FPS"
+    },
+    "commonErrors": {
+      "noUrl": "Будь ласка, надайте дійсну URL-адресу потоку",
+      "testFailed": "Тест потоку не вдався: {{error}}"
+    },
+    "step1": {
+      "description": "Введіть дані вашої камери та виберіть тестування камери або виберіть бренд вручну.",
+      "cameraName": "Назва камери",
+      "cameraNamePlaceholder": "наприклад, передні_двері або огляд заднього двору",
+      "host": "Хост/IP-адреса",
+      "port": "Порт",
+      "username": "Ім'я користувача",
+      "usernamePlaceholder": "Необов'язково",
+      "password": "Пароль",
+      "passwordPlaceholder": "Необов'язково",
+      "selectTransport": "Виберіть транспортний протокол",
+      "cameraBrand": "Бренд камери",
+      "selectBrand": "Виберіть марку камери для шаблону URL-адреси",
+      "customUrl": "URL-адреса користувацького потоку",
+      "brandInformation": "Інформація про бренд",
+      "brandUrlFormat": "Для камер з форматом RTSP URL, як: {{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://username:password@host:port/path",
+      "testConnection": "Тестове з'єднання",
+      "testSuccess": "Тестування з'єднання успішне!",
+      "testFailed": "Перевірка з’єднання не вдалася. Перевірте введені дані та повторіть спробу.",
+      "streamDetails": "Деталі трансляції",
+      "warnings": {
+        "noSnapshot": "Не вдалося отримати знімок із налаштованого потоку."
+      },
+      "errors": {
+        "brandOrCustomUrlRequired": "Виберіть або марку камери з хостом/IP-адресою, або виберіть «Інше» з власною URL-адресою",
+        "nameRequired": "Потрібно вказати назву камери",
+        "nameLength": "Назва камери має містити не більше 64 символів",
+        "invalidCharacters": "Назва камери містить недійсні символи",
+        "nameExists": "Назва камери вже існує",
+        "brands": {
+          "reolink-rtsp": "Не рекомендується використовувати Reolink RTSP. Увімкніть HTTP у налаштуваннях прошивки камери та перезапустіть майстер."
+        },
+        "customUrlRtspRequired": "Користувацькі URL-адреси мають починатися з \"rtsp://\". Для потоків з камер, що не підтримують RTSP, потрібне ручне налаштування."
+      },
+      "docs": {
+        "reolink": "https://docs.frigate.video/configuration/camera_specific.html#reolink-cameras"
+      },
+      "testing": {
+        "probingMetadata": "Зондування метаданих камери...",
+        "fetchingSnapshot": "Отримання знімка камери..."
+      },
+      "connectionSettings": "Налаштування підключення",
+      "detectionMethod": "Метод виявлення потоку",
+      "onvifPort": "Порт ONVIF",
+      "probeMode": "Зонд-камера",
+      "manualMode": "Ручний вибір",
+      "detectionMethodDescription": "Перевірте камеру з ONVIF (якщо підтримується) для пошуку URL-адресів потоку камери або вручну виберіть бренд камери, щоб використовувати попередньо визначені URL. Щоб введіти налаштований URL-адрес RTSP, виберіть ручний метод і вибрати \"Інший\".",
+      "onvifPortDescription": "Для камер, що підтримують ONVIF, це зазвичай 80 або 8080.",
+      "useDigestAuth": "Використовувати дайджест-автентифікацію",
+      "useDigestAuthDescription": "Використовуйте автентифікацію HTTP-дайджест для ONVIF. Деякі камери можуть вимагати спеціальне ім’я користувача/пароль ONVIF замість стандартного користувача-адміністратора."
+    },
+    "step2": {
+      "description": "Перевірте камеру на наявність доступних потоків або налаштуйте ручні параметри на основі вибраного методу виявлення.",
+      "streamsTitle": "Потоки з камери",
+      "addStream": "Додати потік",
+      "addAnotherStream": "Додати ще один потік",
+      "streamTitle": "Потік {{number}}",
+      "streamUrl": "URL-адреса потоку",
+      "streamUrlPlaceholder": "rtsp://username:password@host:port/path",
+      "url": "URL",
+      "resolution": "Роздільна здатність",
+      "selectResolution": "Виберіть роздільну здатність",
+      "quality": "Якість",
+      "selectQuality": "Виберіть якість",
+      "roles": "Ролі",
+      "roleLabels": {
+        "detect": "Виявлення об'єктів",
+        "record": "Запис",
+        "audio": "Аудіо"
+      },
+      "testStream": "Тестове з'єднання",
+      "testSuccess": "Тестування з'єднання успішне!",
+      "testFailed": "Перевірка з’єднання не вдалася. Перевірте введені дані та повторіть спробу.",
+      "testFailedTitle": "Тест не вдався",
+      "connected": "Підключено",
+      "notConnected": "Не підключено",
+      "featuresTitle": "Особливості",
+      "go2rtc": "Зменште кількість підключень до камери",
+      "detectRoleWarning": "Для продовження принаймні один потік повинен мати роль \"виявлення\".",
+      "rolesPopover": {
+        "title": "Ролі потоку",
+        "detect": "Основний канал для виявлення об'єктів.",
+        "record": "Зберігає сегменти відеоканалу на основі налаштувань конфігурації.",
+        "audio": "Стрічка даних для виявлення на основі аудіо."
+      },
+      "featuresPopover": {
+        "title": "Функції потоку",
+        "description": "Використовуйте ретрансляцію go2rtc, щоб зменшити кількість підключень до вашої камери."
+      },
+      "streamDetails": "Деталі трансляції",
+      "probing": "Зондуюча камера...",
+      "retry": "Повторити спробу",
+      "testing": {
+        "probingMetadata": "Зондування метаданих камери...",
+        "fetchingSnapshot": "Отримання знімка камери..."
+      },
+      "probeFailed": "Не вдалося дослідити камеру: {{error}}",
+      "probingDevice": "Зондуючий пристрій...",
+      "probeSuccessful": "Зонд успішно",
+      "probeError": "Помилка зонда",
+      "probeNoSuccess": "Зондування Невдало",
+      "deviceInfo": "Інформація про пристрій",
+      "manufacturer": "Виробник",
+      "model": "Модель",
+      "firmware": "Прошивка",
+      "profiles": "Профілі",
+      "ptzSupport": "Підтримка PTZ-камер",
+      "autotrackingSupport": "Підтримка автоматичного відстеження",
+      "presets": "Пресети",
+      "rtspCandidates": "Кандидати RTSP",
+      "rtspCandidatesDescription": "З камери було знайдено такі URL-адреси RTSP. Перевірте з’єднання, щоб переглянути метадані потоку.",
+      "noRtspCandidates": "Не знайдено URL-адрес RTSP з камери. Ваші облікові дані можуть бути неправильними, або камера може не підтримувати ONVIF чи метод, який використовується для отримання URL-адрес RTSP. Поверніться та введіть URL-адресу RTSP вручну.",
+      "candidateStreamTitle": "Кандидат {{number}}",
+      "useCandidate": "Використання",
+      "uriCopy": "Копіювати",
+      "uriCopied": "URI скопійовано в буфер обміну",
+      "testConnection": "Тестове з'єднання",
+      "toggleUriView": "Натисніть, щоб перемкнути повний вигляд URI",
+      "errors": {
+        "hostRequired": "Потрібно вказати хост/IP-адресу"
+      }
+    },
+    "step3": {
+      "description": "Налаштуйте ролі потоків та додайте додаткові потоки для вашої камери.",
+      "validationTitle": "Перевірка потоку",
+      "connectAllStreams": "Підключити всі потоки",
+      "reconnectionSuccess": "Повторне підключення успішне.",
+      "reconnectionPartial": "Не вдалося відновити підключення до деяких потоків.",
+      "streamUnavailable": "Попередній перегляд трансляції недоступний",
+      "reload": "Перезавантажити",
+      "connecting": "Підключення...",
+      "streamTitle": "Потік {{number}}",
+      "valid": "Дійсний",
+      "failed": "Не вдалося",
+      "notTested": "Не тестувалося",
+      "connectStream": "Підключитися",
+      "connectingStream": "Підключення",
+      "disconnectStream": "Відключитися",
+      "estimatedBandwidth": "Орієнтовна пропускна здатність",
+      "roles": "Ролі",
+      "none": "Жоден",
+      "error": "Помилка",
+      "streamValidated": "Потік {{number}} успішно перевірено",
+      "streamValidationFailed": "Не вдалося перевірити потік {{number}}",
+      "saveAndApply": "Зберегти нову камеру",
+      "saveError": "Недійсна конфігурація. Перевірте свої налаштування.",
+      "issues": {
+        "title": "Перевірка потоку",
+        "videoCodecGood": "Відеокодек: {{codec}}.",
+        "audioCodecGood": "Аудіокодек: {{codec}}.",
+        "noAudioWarning": "Для цього потоку не виявлено аудіо, записи не матимуть аудіо.",
+        "audioCodecRecordError": "Для підтримки аудіо в записах потрібен аудіокодек AAC.",
+        "audioCodecRequired": "Для підтримки виявлення звуку потрібен аудіопотік.",
+        "restreamingWarning": "Зменшення кількості підключень до камери для потоку запису може дещо збільшити використання процесора.",
+        "dahua": {
+          "substreamWarning": "Підпотік 1 заблокований на низькій роздільній здатності. Багато камер Dahua / Amcrest / EmpireTech підтримують додаткові підпотоки, які потрібно ввімкнути в налаштуваннях камери. Рекомендується перевірити та використовувати ці потоки, якщо вони доступні."
+        },
+        "hikvision": {
+          "substreamWarning": "Підпотік 1 заблокований на низькій роздільній здатності. Багато камер Hikvision підтримують додаткові підпотоки, які потрібно ввімкнути в налаштуваннях камери. Рекомендується перевірити та використовувати ці потоки, якщо вони доступні."
+        },
+        "resolutionHigh": "Роздільна здатність {{resolution}} може призвести до збільшення використання ресурсів.",
+        "resolutionLow": "Роздільна здатність {{resolution}} може бути занадто низькою для надійного виявлення малих об'єктів."
+      },
+      "ffmpegModule": "Використовувати режим сумісності з потоками",
+      "ffmpegModuleDescription": "Якщо потік не завантажується після кількох спроб, спробуйте ввімкнути цю функцію. Коли вона ввімкнена, Frigate використовуватиме модуль ffmpeg з go2rtc. Це може забезпечити кращу сумісність з деякими потоками камер.",
+      "streamsTitle": "Трансляції з камери",
+      "addStream": "Додати потік",
+      "addAnotherStream": "Додати ще один потік",
+      "streamUrl": "URL-адреса потоку",
+      "streamUrlPlaceholder": "rtsp://username:password@host:port/path",
+      "selectStream": "Виберіть потік",
+      "searchCandidates": "Пошук кандидатів...",
+      "noStreamFound": "Потік не знайдено",
+      "url": "URL",
+      "resolution": "Роздільна здатність",
+      "selectResolution": "Виберіть роздільну здатність",
+      "quality": "Якість",
+      "selectQuality": "Виберіть якість",
+      "roleLabels": {
+        "detect": "Виявлення об'єктів",
+        "record": "Запис",
+        "audio": "Аудіо"
+      },
+      "testStream": "Тестове з'єднання",
+      "testSuccess": "Тестування трансляції успішне!",
+      "testFailed": "Тест потоку не вдався",
+      "testFailedTitle": "Тест не вдався",
+      "connected": "Підключено",
+      "notConnected": "Не підключено",
+      "featuresTitle": "Особливості",
+      "go2rtc": "Зменште кількість підключень до камери",
+      "detectRoleWarning": "Для продовження принаймні один потік повинен мати роль \"виявлення\".",
+      "rolesPopover": {
+        "title": "Ролі потоку",
+        "detect": "Основний канал для виявлення об'єктів.",
+        "record": "Зберігає сегменти відеоканалу на основі налаштувань конфігурації.",
+        "audio": "Стрічка даних для виявлення на основі аудіо."
+      },
+      "featuresPopover": {
+        "title": "Функції потоку",
+        "description": "Використовуйте ретрансляцію go2rtc, щоб зменшити кількість підключень до вашої камери."
+      }
+    },
+    "step4": {
+      "description": "Фінальна перевірка та аналіз перед збереженням нової камери. Підключіть кожен потік перед збереженням.",
+      "validationTitle": "Перевірка потоку",
+      "connectAllStreams": "Підключити всі потоки",
+      "reconnectionSuccess": "Повторне підключення успішне.",
+      "reconnectionPartial": "Не вдалося відновити підключення до деяких потоків.",
+      "streamUnavailable": "Попередній перегляд трансляції недоступний",
+      "reload": "Перезавантажити",
+      "connecting": "Підключення...",
+      "streamTitle": "Потік {{number}}",
+      "valid": "Дійсний",
+      "failed": "Не вдалося",
+      "notTested": "Не тестувалося",
+      "connectStream": "Підключитися",
+      "connectingStream": "Підключення",
+      "disconnectStream": "Відключитися",
+      "estimatedBandwidth": "Орієнтовна пропускна здатність",
+      "roles": "Ролі",
+      "ffmpegModule": "Використовувати режим сумісності з потоками",
+      "ffmpegModuleDescription": "Якщо потік не завантажується після кількох спроб, спробуйте ввімкнути цю функцію. Коли вона ввімкнена, Frigate використовуватиме модуль ffmpeg з go2rtc. Це може забезпечити кращу сумісність з деякими потоками камер.",
+      "none": "Жоден",
+      "error": "Помилка",
+      "streamValidated": "Потік {{number}} успішно перевірено",
+      "streamValidationFailed": "Не вдалося перевірити потік {{number}}",
+      "saveAndApply": "Зберегти нову камеру",
+      "saveError": "Недійсна конфігурація. Перевірте свої налаштування.",
+      "issues": {
+        "title": "Перевірка потоку",
+        "videoCodecGood": "Відеокодек є {{codec}}.",
+        "audioCodecGood": "Аудіокодек є {{codec}}.",
+        "resolutionHigh": "Роздільна здатність {{resolution}} може призвести до збільшення використання ресурсів.",
+        "resolutionLow": "Роздільна здатність {{resolution}} може бути занадто низькою для надійного виявлення малих об'єктів.",
+        "noAudioWarning": "Для цього потоку не виявлено аудіо, записи не матимуть аудіо.",
+        "audioCodecRecordError": "Для підтримки аудіо в записах потрібен аудіокодек AAC.",
+        "audioCodecRequired": "Для підтримки виявлення звуку потрібен аудіопотік.",
+        "restreamingWarning": "Зменшення кількості підключень до камери для потоку запису може дещо збільшити використання процесора.",
+        "brands": {
+          "reolink-rtsp": "Не рекомендується використовувати Reolink RTSP. Увімкніть HTTP у налаштуваннях прошивки камери та перезапустіть майстер.",
+          "reolink-http": "Для кращої сумісності HTTP-потоки Reolink повинні використовувати FFmpeg. Увімкніть для цього потоку опцію «Використовувати режим сумісності потоків»."
+        },
+        "dahua": {
+          "substreamWarning": "Підпотік 1 заперечений до низького розділу. Багато камери Dahua / Amcrest / EmpireTech підтримують додаткові підтоки, які потрібно включити в налаштуваннях камери. Рекомендується перевірити та використовувати ці потоки, якщо вони доступні."
+        },
+        "hikvision": {
+          "substreamWarning": "Підпотік 1 заперечений до низького розділу. Багато камер Hikvision підтримують додаткові підтоки, які повинні бути включені в налаштуваннях камери. Рекомендується перевірити та використовувати ці потоки, якщо вони доступні."
+        }
+      }
+    }
+  },
+  "cameraManagement": {
+    "title": "Керування камерами",
+    "addCamera": "Додати нову камеру",
+    "editCamera": "Редагувати камеру:",
+    "selectCamera": "Виберіть камеру",
+    "backToSettings": "Назад до налаштувань камери",
+    "streams": {
+      "title": "Увімкнути/вимкнути камери",
+      "desc": "Тимчасово вимкніть камеру до перезапуску Frigate. Вимкнення камери повністю зупиняє обробку потоків цієї камери в Frigate. Функції виявлення, запису та налагодження будуть недоступні. <br /> <em>Примітка: це не вимикає ретрансляції </em>"
+    },
+    "cameraConfig": {
+      "add": "Додати камеру",
+      "edit": "Редагувати камеру",
+      "description": "Налаштуйте параметри камери, включаючи потокові входи та ролі.",
+      "name": "Назва камери",
+      "nameRequired": "Потрібно вказати назву камери",
+      "nameLength": "Назва камери має містити менше 64 символів.",
+      "namePlaceholder": "наприклад, передні_двері або огляд заднього двору",
+      "enabled": "Увімкнено",
+      "ffmpeg": {
+        "inputs": "Вхідні потоки",
+        "path": "Шлях потоку",
+        "pathRequired": "Шлях потоку обов'язковий",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "Ролі",
+        "rolesRequired": "Потрібна хоча б одна роль",
+        "rolesUnique": "Кожна роль (аудіо, виявлення, запис) може бути призначена лише одному потоку",
+        "addInput": "Додати вхідний потік",
+        "removeInput": "Вилучити вхідний потік",
+        "inputsRequired": "Потрібен принаймні один вхідний потік"
+      },
+      "go2rtcStreams": "go2rtc Стріми",
+      "streamUrls": "URL-адреси потоків",
+      "addUrl": "Додати URL-адресу",
+      "addGo2rtcStream": "Додати потік go2rtc",
+      "toast": {
+        "success": "Камеру {{cameraName}} успішно збережено"
+      }
+    }
+  },
+  "cameraReview": {
+    "title": "Налаштування перегляду камери",
+    "object_descriptions": {
+      "title": "Генеративні описи об'єктів штучного інтелекту",
+      "desc": "Тимчасово ввімкнути/вимкнути генеративні описи об'єктів ШІ для цієї камери. Якщо вимкнено, згенеровані ШІ описи не запитуватимуться для об'єктів, що відстежуються на цій камері."
+    },
+    "review_descriptions": {
+      "title": "Описи генеративного ШІ-огляду",
+      "desc": "Тимчасово ввімкнути/вимкнути генеративні описи огляду за допомогою штучного інтелекту для цієї камери. Якщо вимкнено, для елементів огляду на цій камері не запитуватимуться згенеровані штучним інтелектом описи."
+    },
+    "review": {
+      "title": "Огляду",
+      "desc": "Тимчасово ввімкнути/вимкнути сповіщення та виявлення для цієї камери до перезавантаження Frigate. Якщо вимкнено, нові елементи огляду не створюватимуться. ",
+      "alerts": "Сповіщення ",
+      "detections": "Виявлення "
+    },
+    "reviewClassification": {
+      "title": "Класифікація оглядів",
+      "desc": "Frigate класифікує об'єкти перевірки як сповіщення та виявлення. За замовчуванням усі об'єкти <em>людина</em> та <em>автомобіль</em> вважаються сповіщеннями. Ви можете уточнити класифікацію об'єктів перевірки, налаштувавши для них необхідні зони.",
+      "noDefinedZones": "Для цієї камери не визначено жодної зони.",
+      "objectAlertsTips": "Усі об’єкти {{alertsLabels}} на {{cameraName}} будуть відображатися як сповіщення.",
+      "zoneObjectAlertsTips": "Усі об’єкти {{alertsLabels}}, виявлені в {{zone}} на {{cameraName}}, будуть відображатися як сповіщення.",
+      "objectDetectionsTips": "Усі об’єкти {{detectionsLabels}}, які не класифіковані на {{cameraName}}, будуть відображатися як виявлені, незалежно від того, в якій зоні вони знаходяться.",
+      "zoneObjectDetectionsTips": {
+        "text": "Усі об’єкти {{detectionsLabels}}, що не належать до категорії {{zone}} на {{cameraName}}, будуть відображатися як Виявлення.",
+        "notSelectDetections": "Усі об’єкти {{detectionsLabels}}, виявлені в {{zone}} на {{cameraName}}, які не віднесені до категорії «Сповіщення», будуть відображатися як Виявлення незалежно від того, в якій зоні вони знаходяться.",
+        "regardlessOfZoneObjectDetectionsTips": "Усі об’єкти {{detectionsLabels}}, які не класифіковані на {{cameraName}}, будуть відображатися як виявлені, незалежно від того, в якій зоні вони знаходяться."
+      },
+      "unsavedChanges": "Незбережені налаштування класифікації рецензій для {{camera}}",
+      "selectAlertsZones": "Виберіть зони для сповіщень",
+      "selectDetectionsZones": "Виберіть зони для виявлення",
+      "limitDetections": "Обмеження виявлення певними зонами",
+      "toast": {
+        "success": "Конфігурацію класифікації перегляду збережено. Перезапустіть Frigate, щоб застосувати зміни."
+      }
+    }
   }
 }
diff --git a/web/public/locales/uk/views/system.json b/web/public/locales/uk/views/system.json
index 5898da3eb..b65616c60 100644
--- a/web/public/locales/uk/views/system.json
+++ b/web/public/locales/uk/views/system.json
@@ -57,10 +57,20 @@
       "text_embedding": "Вбудовування тексту",
       "face_recognition": "Розпізнавання обличчя",
       "yolov9_plate_detection_speed": "Швидкість виявлення номерних знаків YOLOv9",
-      "yolov9_plate_detection": "Виявлення пластин YOLOv9"
+      "yolov9_plate_detection": "Виявлення пластин YOLOv9",
+      "review_description": "Опис огляду",
+      "review_description_speed": "Огляд Опис Швидкість",
+      "review_description_events_per_second": "Опис огляду",
+      "object_description": "Опис об'єкта",
+      "object_description_speed": "Опис об'єкта Швидкість",
+      "object_description_events_per_second": "Опис об'єкта",
+      "classification": "Класифікація {{name}}",
+      "classification_speed": "Швидкість класифікації {{name}}",
+      "classification_events_per_second": "{{name}} Подій класифікації за секунду"
     },
     "title": "Збагаченням",
-    "infPerSecond": "Висновки за секунду"
+    "infPerSecond": "Висновки за секунду",
+    "averageInf": "Середній час висновування"
   },
   "general": {
     "title": "Загальна",
@@ -95,12 +105,24 @@
         "toast": {
           "success": "Інформацію про графічний процесор скопійовано в буфер обміну"
         }
+      },
+      "intelGpuWarning": {
+        "title": "Попередження щодо статистики графічного процесора Intel",
+        "message": "Статистика графічного процесора недоступна",
+        "description": "Це відома помилка в інструментах звітності статистики графічного процесора Intel (intel_gpu_top), яка неодноразово повертає використання графічного процесора на рівні 0%, навіть у випадках, коли апаратне прискорення та виявлення об'єктів працюють належним чином на (i)GPU. Це не помилка Frigate. Ви можете перезавантажити хост, щоб тимчасово виправити проблему та переконатися, що графічний процесор працює правильно. Це не впливає на продуктивність."
       }
     },
     "otherProcesses": {
       "processMemoryUsage": "Використання пам'яті процесу",
       "processCpuUsage": "Використання процесора процесу",
-      "title": "Інші процеси"
+      "title": "Інші процеси",
+      "series": {
+        "go2rtc": "go2rtc",
+        "recording": "запис",
+        "review_segment": "сегмент огляду",
+        "embeddings": "вбудовування",
+        "audio_detector": "аудіодетектор"
+      }
     },
     "detector": {
       "temperature": "Температура детектора",
@@ -151,7 +173,7 @@
   "documentTitle": {
     "cameras": "Статистика камер - Фрегат",
     "storage": "Статистика сховища - Фрегат",
-    "general": "Загальна статистика - Frigate",
+    "general": "Основна Статус – Frigate",
     "enrichments": "Статистика збагачені - Фрегат",
     "logs": {
       "frigate": "Фрегатні журнали - Фрегат",
diff --git a/web/public/locales/ur/views/classificationModel.json b/web/public/locales/ur/views/classificationModel.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/ur/views/classificationModel.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/vi/common.json b/web/public/locales/vi/common.json
index 843675f42..dea1157d9 100644
--- a/web/public/locales/vi/common.json
+++ b/web/public/locales/vi/common.json
@@ -75,7 +75,10 @@
     "formattedTimestampFilename": {
       "12hour": "dd-MM-yy-h-mm-ss-a",
       "24hour": "dd-MM-yy-HH-mm-s"
-    }
+    },
+    "inProgress": "Đang tiến hành",
+    "invalidStartTime": "Thời gian bắt đầu không hợp lệ",
+    "invalidEndTime": "Thời gian kết thúc không hợp lệ"
   },
   "menu": {
     "systemLogs": "Nhật ký hệ thống",
@@ -122,14 +125,14 @@
       "yue": "粵語 (Tiếng Quảng Đông)",
       "ca": "Català (Tiếng Catalan)",
       "th": "ไทย (Tiếng Thái)",
-      "ptBR": "Português brasileiro (Brazilian Portuguese)",
-      "sr": "Српски (Serbian)",
-      "sl": "Slovenščina (Slovenian)",
-      "lt": "Lietuvių (Lithuanian)",
-      "bg": "Български (Bulgarian)",
-      "gl": "Galego (Galician)",
-      "id": "Bahasa Indonesia (Indonesian)",
-      "ur": "اردو (Urdu)"
+      "ptBR": "Português brasileiro (Tiếng Bồ Đào Nha Brazil)",
+      "sr": "Српски (Tiếng Serbian)",
+      "sl": "Slovenščina (Tiếng Slovenian)",
+      "lt": "Lietuvių (Tiếng Lithuanian)",
+      "bg": "Български (Tiếng Bulgarian)",
+      "gl": "Galego (Tiếng Galician)",
+      "id": "Bahasa Indonesia (Tiếng Indonesian)",
+      "ur": "اردو (Tiếng Urdu)"
     },
     "system": "Hệ thống",
     "systemMetrics": "Thông số hệ thống",
@@ -175,7 +178,8 @@
     "explore": "Khám phá",
     "export": "Xuất",
     "uiPlayground": "UI Playground",
-    "faceLibrary": "Thư viện khuôn mặt"
+    "faceLibrary": "Thư viện khuôn mặt",
+    "classification": "Phân loại"
   },
   "unit": {
     "speed": {
@@ -185,10 +189,23 @@
     "length": {
       "meters": "mét (m)",
       "feet": "feet (ft)"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/giờ",
+      "mbph": "MB/giờ",
+      "gbph": "GB/giờ"
     }
   },
   "label": {
-    "back": "Quay lại"
+    "back": "Quay lại",
+    "hide": "Ẩn {{item}}",
+    "show": "Hiển thị {{item}}",
+    "ID": "ID",
+    "none": "Không có",
+    "all": "Tất cả"
   },
   "button": {
     "apply": "Áp dụng",
@@ -225,7 +242,8 @@
     "export": "Xuất",
     "deleteNow": "Xóa ngay",
     "next": "Tiếp theo",
-    "saving": "Đang lưu…"
+    "saving": "Đang lưu…",
+    "continue": "Tiếp tục"
   },
   "toast": {
     "copyUrlToClipboard": "Đã sao chép liên kết.",
@@ -266,5 +284,17 @@
     "desc": "Trang bạn đang tìm không tồn tại"
   },
   "selectItem": "Chọn mục {{item}}",
-  "readTheDocumentation": "Đọc tài liệu"
+  "readTheDocumentation": "Đọc tài liệu",
+  "list": {
+    "two": "{{0}} và {{1}}",
+    "many": "{{items}}, và {{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "Không bắt buộc",
+    "internalID": "Internal ID Frigate sử dụng trong cấu hình và cơ sở dữ liệu"
+  },
+  "information": {
+    "pixels": "{{area}}px"
+  }
 }
diff --git a/web/public/locales/vi/components/auth.json b/web/public/locales/vi/components/auth.json
index 3d942b9c2..bc664d59c 100644
--- a/web/public/locales/vi/components/auth.json
+++ b/web/public/locales/vi/components/auth.json
@@ -10,6 +10,7 @@
       "loginFailed": "Đăng nhập không thành công",
       "unknownError": "Lỗi không xác định. Kiểm tra nhật ký.",
       "webUnknownError": "Lỗi không xác định. Kiểm tra nhật ký bảng điều khiển."
-    }
+    },
+    "firstTimeLogin": "Lần đầu đăng nhập? Thông tin đăng nhập được in trong nhật ký (log) của Frigate."
   }
 }
diff --git a/web/public/locales/vi/components/dialog.json b/web/public/locales/vi/components/dialog.json
index 5cef1da16..b8b2895ea 100644
--- a/web/public/locales/vi/components/dialog.json
+++ b/web/public/locales/vi/components/dialog.json
@@ -56,7 +56,8 @@
         "noVaildTimeSelected": "Chưa chọn khoảng thời gian hợp lệ",
         "failed": "Không thể bắt đầu xuất: {{error}}"
       },
-      "success": "Đã bắt đầu xuất thành công. Xem tệp trong thư mục /exports."
+      "success": "Đã bắt đầu xuất dữ liệu thành công. Xem tệp trên trang xuất dữ liệu.",
+      "view": "Xem"
     },
     "fromTimeline": {
       "saveExport": "Lưu bản xuất",
@@ -92,7 +93,8 @@
     "button": {
       "deleteNow": "Xóa ngay",
       "export": "Xuất",
-      "markAsReviewed": "Đánh dấu là đã xem xét"
+      "markAsReviewed": "Đánh dấu là đã xem xét",
+      "markAsUnreviewed": "Đánh dấu là chưa xem xét"
     }
   },
   "search": {
@@ -114,6 +116,7 @@
     "search": {
       "placeholder": "Tìm theo nhãn hoặc nhãn phụ..."
     },
-    "noImages": "Không tìm thấy hình thu nhỏ cho camera này"
+    "noImages": "Không tìm thấy hình thu nhỏ cho camera này",
+    "unknownLabel": "Ảnh kích hoạt đã lưu"
   }
 }
diff --git a/web/public/locales/vi/views/classificationModel.json b/web/public/locales/vi/views/classificationModel.json
new file mode 100644
index 000000000..5db2c5960
--- /dev/null
+++ b/web/public/locales/vi/views/classificationModel.json
@@ -0,0 +1,59 @@
+{
+  "documentTitle": "شمار بندی کے ماڈل",
+  "button": {
+    "deleteClassificationAttempts": "Xóa Hình Ảnh Phân Loại",
+    "renameCategory": "Đổi Tên Lớp",
+    "deleteCategory": "Xoá Lớp",
+    "deleteImages": "Xoá Hình Ảnh",
+    "trainModel": "Huấn Luyện Mô Hình",
+    "addClassification": "Thêm Phân Loại",
+    "deleteModels": "Xoá Mô Hình",
+    "editModel": "Chỉnh sửa mô hình"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "Lớp Đã Bị Xoá",
+      "deletedImage": "Hình ảnh đã bị xóa",
+      "deletedModel_other": "Đã xóa thành công {{count}} mô hình",
+      "categorizedImage": "Phân Loại Hình Ảnh Thành Công",
+      "trainedModel": "Đã huấn luyện mô hình thành công.",
+      "trainingModel": "Đã bắt đầu huấn luyện mô hình thành công.",
+      "updatedModel": "Đã cập nhật cấu hình mô hình thành công",
+      "renamedCategory": "Đã đổi tên lớp thành công thành {{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "Xóa không thành công: {{errorMessage}}",
+      "deleteCategoryFailed": "Xóa lớp không thành công: {{errorMessage}}",
+      "deleteModelFailed": "Xóa mô hình không thành công: {{errorMessage}}",
+      "categorizeFailed": "Phân loại hình ảnh không thành công: {{errorMessage}}",
+      "trainingFailed": "Huấn luyện mô hình thất bại. Vui lòng kiểm tra nhật ký của Frigate để biết chi tiết.",
+      "trainingFailedToStart": "Khởi động huấn luyện mô hình không thành công: {{errorMessage}}",
+      "updateModelFailed": "Cập nhật mô hình không thành công: {{errorMessage}}",
+      "renameCategoryFailed": "Không đổi tên được lớp: {{errorMessage}}"
+    }
+  },
+  "details": {
+    "scoreInfo": "Điểm số cho biết mức độ tự tin trung bình mà hệ thống xác định được cho tất cả các lần phát hiện đối tượng này."
+  },
+  "tooltip": {
+    "trainingInProgress": "Mô hình hiện đang được huấn luyện",
+    "noNewImages": "Không có hình ảnh mới để đào tạo. Trước tiên, hãy phân loại nhiều hình ảnh hơn trong tập dữ liệu.",
+    "noChanges": "Không có thay đổi nào đối với tập dữ liệu kể từ lần đào tạo cuối cùng.",
+    "modelNotReady": "Mô hình chưa sẵn sàng để huấn luyện"
+  },
+  "deleteCategory": {
+    "title": "Xóa lớp",
+    "desc": "Bạn có chắc chắn muốn xóa lớp {{name}} không? Điều này sẽ xóa vĩnh viễn tất cả các hình ảnh liên quan và yêu cầu đào tạo lại mô hình.",
+    "minClassesTitle": "Không thể xóa lớp",
+    "minClassesDesc": "Một mô hình phân loại phải có ít nhất 2 lớp. Thêm một lớp khác trước khi xóa lớp này."
+  },
+  "deleteModel": {
+    "title": "Xóa mô hình phân loại",
+    "single": "Bạn có chắc chắn muốn xóa {{name}} không? Thao tác này sẽ xóa vĩnh viễn tất cả dữ liệu liên quan bao gồm hình ảnh và dữ liệu đào tạo. Không thể hoàn tác hành động này.",
+    "desc_other": "Bạn có chắc chắn muốn xóa mô hình {{count}} không? Thao tác này sẽ xóa vĩnh viễn tất cả dữ liệu liên quan bao gồm hình ảnh và dữ liệu đào tạo. Không thể hoàn tác hành động này."
+  },
+  "edit": {
+    "title": "Chỉnh sửa mô hình phân loại",
+    "descriptionState": "Chỉnh sửa các lớp cho mô hình phân loại trạng thái này. Những thay đổi sẽ yêu cầu đào tạo lại mô hình."
+  }
+}
diff --git a/web/public/locales/vi/views/events.json b/web/public/locales/vi/views/events.json
index c3bdad497..94b2bc710 100644
--- a/web/public/locales/vi/views/events.json
+++ b/web/public/locales/vi/views/events.json
@@ -36,5 +36,27 @@
   "markAsReviewed": "Đánh dấu là đã xem xét",
   "markTheseItemsAsReviewed": "Đánh dấu các mục này là đã xem xét",
   "suspiciousActivity": "Hoạt động đáng ngờ",
-  "threateningActivity": "Hoạt động đe dọa"
+  "threateningActivity": "Hoạt động đe dọa",
+  "zoomIn": "Phóng To",
+  "zoomOut": "Thu nhỏ",
+  "detail": {
+    "label": "Chi tiết",
+    "noDataFound": "Không có dữ liệu chi tiết để xem xét",
+    "aria": "Chuyển đổi chế độ xem chi tiết",
+    "trackedObject_one": "{{count}} đối tượng",
+    "trackedObject_other": "{{count}} đối tượng",
+    "noObjectDetailData": "Không có dữ liệu chi tiết đối tượng nào khả dụng.",
+    "settings": "Cài đặt chế độ xem chi tiết",
+    "alwaysExpandActive": {
+      "title": "Luôn mở rộng mục đang hoạt động",
+      "desc": "Luôn mở rộng chi tiết đối tượng của mục đánh giá đang hoạt động khi có sẵn."
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "Điểm theo dõi",
+    "clickToSeek": "Nhấn để tua đến thời điểm này"
+  },
+  "normalActivity": "Bình thường",
+  "needsReview": "Cần xem xét",
+  "securityConcern": "Mối lo ngại về an ninh"
 }
diff --git a/web/public/locales/vi/views/explore.json b/web/public/locales/vi/views/explore.json
index 82b3b7ad0..7110009ce 100644
--- a/web/public/locales/vi/views/explore.json
+++ b/web/public/locales/vi/views/explore.json
@@ -67,7 +67,7 @@
           "regenerate": "Một mô tả mới đã được yêu cầu từ {{provider}}. Tùy thuộc vào tốc độ của nhà cung cấp của bạn, mô tả mới có thể mất một chút thời gian để tạo lại.",
           "updatedLPR": "Cập nhật biển số xe thành công.",
           "updatedSublabel": "Cập nhật nhãn phụ thành công.",
-          "audioTranscription": "Đã yêu cầu phiên âm thành công."
+          "audioTranscription": "Đã yêu cầu chuyển đổi âm thanh thành văn bản thành công. Tùy vào tốc độ của máy chủ Frigate, quá trình chuyển đổi có thể mất một khoảng thời gian để hoàn tất."
         }
       },
       "tips": {
@@ -152,11 +152,25 @@
     },
     "addTrigger": {
       "label": "Thêm sự kiện kích hoạt",
-      "aria": "Thêm sự kiện kích hoạt cho đối tượng này."
+      "aria": "Thêm trình kích hoạt cho đối tượng được theo dõi này"
     },
     "audioTranscription": {
       "label": "Phiên âm",
       "aria": "Yêu cầu phiên âm"
+    },
+    "downloadCleanSnapshot": {
+      "label": "Tải xuống ảnh chụp nhanh",
+      "aria": "Tải xuống ảnh chụp nhanh"
+    },
+    "viewTrackingDetails": {
+      "label": "Xem chi tiết theo dõi",
+      "aria": "Xem chi tiết theo dõi"
+    },
+    "showObjectDetails": {
+      "label": "Hiển thị đường dẫn đối tượng"
+    },
+    "hideObjectDetails": {
+      "label": "Ẩn đường dẫn đối tượng"
     }
   },
   "exploreIsUnavailable": {
@@ -189,7 +203,7 @@
   },
   "dialog": {
     "confirmDelete": {
-      "desc": "Việc xóa đối tượng được theo dõi này sẽ xóa ảnh chụp nhanh, mọi dữ liệu nhúng đã lưu và mọi mục nhập vòng đời đối tượng liên quan. Đoạn ghi hình đã ghi của đối tượng được theo dõi này trong chế độ xem Lịch sử sẽ <em>KHÔNG</em> bị xóa.<br /><br />Bạn có chắc chắn muốn tiếp tục không?",
+      "desc": "Việc xóa đối tượng được theo dõi này sẽ xóa ảnh chụp nhanh, mọi phần nhúng đã lưu và mọi mục nhập chi tiết theo dõi được liên kết. Đoạn phim đã ghi của đối tượng được theo dõi này trong chế độ xem Lịch sử sẽ <em>KHÔNG</em> bị xóa.<br /><br />Bạn có chắc chắn muốn tiếp tục không?",
       "title": "Xác nhận Xóa"
     }
   },
@@ -201,7 +215,9 @@
         "error": "Không thể xóa đối tượng được theo dõi: {{errorMessage}}"
       }
     },
-    "tooltip": "Khớp {{type}} ở mức {{confidence}}%"
+    "tooltip": "Khớp {{type}} ở mức {{confidence}}%",
+    "previousTrackedObject": "Đối tượng được theo dõi trước đó",
+    "nextTrackedObject": "Đối tượng được theo dõi tiếp theo"
   },
   "exploreMore": "Khám phá thêm các đối tượng {{label}}",
   "trackedObjectDetails": "Chi tiết Đối tượng được theo dõi",
@@ -209,7 +225,9 @@
     "details": "chi tiết",
     "snapshot": "ảnh chụp nhanh",
     "video": "video",
-    "object_lifecycle": "vòng đời đối tượng"
+    "object_lifecycle": "vòng đời đối tượng",
+    "thumbnail": "Ảnh thu nhỏ",
+    "tracking_details": "chi tiết theo dõi"
   },
   "fetchingTrackedObjectsFailed": "Lỗi khi tìm nạp các đối tượng được theo dõi: {{errorMessage}}",
   "documentTitle": "Khám phá - Frigate",
@@ -220,5 +238,54 @@
   },
   "concerns": {
     "label": "Mối lo ngại"
+  },
+  "trackingDetails": {
+    "title": "Chi tiết theo dõi",
+    "noImageFound": "Không tìm thấy hình ảnh cho mốc thời gian này.",
+    "createObjectMask": "Tạo mặt nạ đối tượng",
+    "adjustAnnotationSettings": "Điều chỉnh cài đặt chú thích",
+    "scrollViewTips": "Nhấn để xem những khoảnh khắc quan trọng trong vòng đời của đối tượng này.",
+    "autoTrackingTips": "Vị trí khung bao sẽ không chính xác đối với các camera tự động theo dõi (autotracking).",
+    "count": "{{first}} của {{second}}",
+    "trackedPoint": "Điểm theo dõi",
+    "lifecycleItemDesc": {
+      "visible": "Đã phát hiện được {{label}}",
+      "entered_zone": "{{label}} đã vào {{zones}}",
+      "active": "{{label}} đã hoạt động",
+      "stationary": "{{label}} đã đứng yên",
+      "attribute": {
+        "faceOrLicense_plate": "Đã phát hiện {{attribute}} đối với {{label}}",
+        "other": "{{label}} được nhận diện là {{attribute}}"
+      },
+      "gone": "{{label}} đã rời đi",
+      "heard": "Đã nghe thấy {{label}}",
+      "external": "{{label}} đã được nhận diện",
+      "header": {
+        "zones": "Vùng",
+        "ratio": "Tỷ lệ",
+        "area": "Khu vực",
+        "score": "Điểm"
+      }
+    },
+    "annotationSettings": {
+      "title": "Cài đặt chú thích",
+      "showAllZones": {
+        "title": "Hiện tất cả các vùng",
+        "desc": "Luôn hiển thị các vùng trên khung hình khi có đối tượng đi vào vùng đó."
+      },
+      "offset": {
+        "label": "Độ lệch chú thích",
+        "desc": "Dữ liệu này lấy từ luồng phát hiện (detect feed) của camera bạn, nhưng được hiển thị chồng lên hình ảnh từ luồng ghi hình (record feed). Hai luồng này thường không đồng bộ hoàn hảo với nhau. Do đó, khung bao (bounding box) và đoạn video có thể không khớp chính xác. Bạn có thể sử dụng cài đặt này để điều chỉnh thời gian hiển thị chú thích (annotation) lùi hoặc tiến để đồng bộ tốt hơn với video đã ghi.",
+        "millisecondsToOffset": "Số mili giây để điều chỉnh thời gian hiển thị chú thích phát hiện. <em>Mặc định: 0</em>",
+        "tips": "Giảm giá trị nếu quá trình phát lại video ở phía trước các hộp và điểm đường dẫn, đồng thời tăng giá trị nếu quá trình phát lại video ở phía sau chúng. Giá trị này có thể âm.",
+        "toast": {
+          "success": "Độ lệch chú thích cho {{camera}} đã được lưu vào tệp cấu hình."
+        }
+      }
+    },
+    "carousel": {
+      "previous": "Trang trình bày trước",
+      "next": "Trang trình bày tiếp theo"
+    }
   }
 }
diff --git a/web/public/locales/vi/views/exports.json b/web/public/locales/vi/views/exports.json
index 6206f5821..95b3b87c6 100644
--- a/web/public/locales/vi/views/exports.json
+++ b/web/public/locales/vi/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "Đổi tên tệp xuất thất bại: {{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "Chia sẻ bản xuất",
+    "downloadVideo": "Tải video",
+    "editName": "Chỉnh sửa tên",
+    "deleteExport": "Xóa bản xuất"
   }
 }
diff --git a/web/public/locales/vi/views/faceLibrary.json b/web/public/locales/vi/views/faceLibrary.json
index e27adcf65..cef8b9da7 100644
--- a/web/public/locales/vi/views/faceLibrary.json
+++ b/web/public/locales/vi/views/faceLibrary.json
@@ -1,7 +1,7 @@
 {
   "selectItem": "Chọn mục {{item}}",
   "description": {
-    "addFace": "Hướng dẫn thêm bộ sưu tập mới vào Thư viện khuôn mặt.",
+    "addFace": "Thêm một bộ sưu tập mới vào Thư viện Khuôn Mặt bằng cách tải lên hình ảnh đầu tiên của bạn.",
     "invalidName": "Tên không hợp lệ. Tên chỉ được phép chứa chữ cái, số, khoảng trắng, dấu nháy đơn, dấu gạch dưới và dấu gạch ngang.",
     "placeholder": "Nhập tên cho bộ sưu tập này"
   },
@@ -38,7 +38,7 @@
     "success": {
       "uploadedImage": "Tải lên hình ảnh thành công.",
       "trainedFace": "Huấn luyện khuôn mặt thành công.",
-      "updatedFaceScore": "Cập nhật điểm khuôn mặt thành công.",
+      "updatedFaceScore": "Đã cập nhật thành công điểm khuôn mặt thành {{name}} ({{score}}).",
       "addFaceLibrary": "{{name}} đã được thêm thành công vào Thư viện Khuôn mặt!",
       "deletedFace_other": "Đã xóa thành công {{count}} khuôn mặt.",
       "deletedName_other": "{{count}} khuôn mặt đã được xóa thành công.",
@@ -76,15 +76,15 @@
   "trainFace": "Huấn luyện khuôn mặt",
   "nofaces": "Không có khuôn mặt nào",
   "createFaceLibrary": {
-    "nextSteps": "Để xây dựng một nền tảng vững chắc:<li>Sử dụng tab Huấn luyện để chọn và huấn luyện trên hình ảnh cho mỗi người được phát hiện.</li><li>Tập trung vào hình ảnh chụp thẳng để có kết quả tốt nhất; tránh huấn luyện các hình ảnh chụp khuôn mặt ở một góc.</li></ul>",
+    "nextSteps": "Để xây dựng một nền tảng vững chắc:<li>Sử dụng tab Nhận dạng gần đây để chọn và huấn luyện trên hình ảnh cho mỗi người được phát hiện.</li><li>Tập trung vào hình ảnh chụp thẳng để có kết quả tốt nhất; tránh huấn luyện các hình ảnh chụp khuôn mặt ở một góc.</li></ul>",
     "title": "Tạo bộ sưu tập",
     "desc": "Tạo một bộ sưu tập mới",
     "new": "Tạo khuôn mặt mới"
   },
   "train": {
-    "title": "Huấn luyện",
+    "title": "Nhận dạng gần đây",
     "empty": "Không có nỗ lực nhận dạng khuôn mặt nào gần đây",
-    "aria": "Chọn huấn luyện"
+    "aria": "Chọn các nhận dạng gần đây"
   },
   "selectFace": "Chọn khuôn mặt",
   "pixels": "{{area}}px",
diff --git a/web/public/locales/vi/views/live.json b/web/public/locales/vi/views/live.json
index ec194ba32..c238a34c6 100644
--- a/web/public/locales/vi/views/live.json
+++ b/web/public/locales/vi/views/live.json
@@ -29,6 +29,9 @@
       "tips.documentation": "Đọc tài liệu ",
       "available": "Đàm thoại hai chiều khả dụng cho luồng này",
       "unavailable": "Đàm thoại hai chiều không khả dụng cho luồng này"
+    },
+    "debug": {
+      "picker": "Việc chọn luồng phát không khả dụng trong chế độ gỡ lỗi. Chế độ xem gỡ lỗi luôn sử dụng luồng được gán vai trò phát hiện (detect)."
     }
   },
   "editLayout": {
@@ -90,8 +93,8 @@
     "failedToStart": "Không thể bắt đầu ghi hình theo yêu cầu.",
     "started": "Đã bắt đầu ghi hình theo yêu cầu.",
     "ended": "Đã kết thúc ghi hình theo yêu cầu.",
-    "title": "Ghi hình theo yêu cầu",
-    "tips": "Bắt đầu sự kiện ghi hình thủ công dựa trên cài đặt lưu trữ của camera này.",
+    "title": "Theo yêu cầu",
+    "tips": "Tải xuống ảnh chụp nhanh tức thì hoặc bắt đầu sự kiện thủ công dựa trên cài đặt lưu giữ bản ghi của máy ảnh này.",
     "showStats": {
       "label": "Hiện thống kê",
       "desc": "Bật tùy chọn này để hiển thị thống kê luồng trên khung hình."
@@ -167,5 +170,20 @@
   "transcription": {
     "enable": "Bật phiên âm trực tiếp",
     "disable": "Tắt phiên âm trực tiếp"
+  },
+  "snapshot": {
+    "takeSnapshot": "Tải xuống ảnh chụp nhanh ngay lập tức",
+    "noVideoSource": "Không có nguồn video để chụp ảnh nhanh.",
+    "captureFailed": "Chụp ảnh nhanh không thành công.",
+    "downloadStarted": "Bắt đầu tải xuống ảnh chụp nhanh."
+  },
+  "noCameras": {
+    "title": "Không có camera nào được cấu hình",
+    "description": "Bắt đầu bằng cách kết nối một camera với Frigate.",
+    "buttonText": "Thêm Camera",
+    "restricted": {
+      "title": "Không có Camera nào khả dụng",
+      "description": "Bạn không có quyền xem bất kỳ camera nào trong nhóm này."
+    }
   }
 }
diff --git a/web/public/locales/vi/views/settings.json b/web/public/locales/vi/views/settings.json
index 03b17d4ae..69b37b837 100644
--- a/web/public/locales/vi/views/settings.json
+++ b/web/public/locales/vi/views/settings.json
@@ -7,9 +7,11 @@
     "notifications": "Cài đặt Thông báo - Frigate",
     "masksAndZones": "Trình chỉnh sửa Mặt nạ và Vùng - Frigate",
     "object": "Gỡ lỗi - Frigate",
-    "general": "Cài đặt Chung - Frigate",
+    "general": "Cài đặt giao diện – Frigate",
     "frigatePlus": "Cài đặt Frigate+ - Frigate",
-    "motionTuner": "Bộ tinh chỉnh Chuyển động - Frigate"
+    "motionTuner": "Bộ tinh chỉnh Chuyển động - Frigate",
+    "cameraManagement": "Quản Lý Camera - Frigate",
+    "cameraReview": "Cài Đặt Xem Lại Camera - Frigate"
   },
   "notification": {
     "toast": {
@@ -250,8 +252,8 @@
       "point_other": "{{count}} điểm",
       "toast": {
         "success": {
-          "noName": "Mặt nạ đối tượng đã được lưu. Khởi động lại Frigate để áp dụng các thay đổi.",
-          "title": "{{polygonName}} đã được lưu. Khởi động lại Frigate để áp dụng các thay đổi."
+          "noName": "Mặt nạ đối tượng đã được lưu.",
+          "title": "{{polygonName}} đã được lưu."
         }
       },
       "label": "Mặt nạ đối tượng",
@@ -294,11 +296,11 @@
         "desc": "Danh sách các đối tượng áp dụng cho vùng này."
       },
       "toast": {
-        "success": "Vùng ({{zoneName}}) đã được lưu. Khởi động lại Frigate để áp dụng các thay đổi."
+        "success": "Vùng ({{zoneName}}) đã được lưu."
       },
       "name": {
         "inputPlaceHolder": "Nhập tên…",
-        "tips": "Tên phải có ít nhất 2 ký tự và không được trùng với tên của camera hoặc một vùng khác.",
+        "tips": "Tên phải có ít nhất 2 ký tự, phải có ít nhất một chữ cái và không được là tên của camera hoặc vùng khác trên camera này.",
         "title": "Tên"
       },
       "edit": "Chỉnh sửa Vùng",
@@ -331,8 +333,8 @@
       "clickDrawPolygon": "Nhấp để vẽ một đa giác trên hình ảnh.",
       "toast": {
         "success": {
-          "title": "{{polygonName}} đã được lưu. Khởi động lại Frigate để áp dụng các thay đổi.",
-          "noName": "Mặt nạ chuyển động đã được lưu. Khởi động lại Frigate để áp dụng các thay đổi."
+          "title": "{{polygonName}} đã được lưu.",
+          "noName": "Mặt nạ chuyển động đã được lưu."
         }
       }
     },
@@ -570,7 +572,15 @@
         "desc": "Theo mặc định, các cảnh báo gần đây trên bảng điều khiển Trực tiếp sẽ phát dưới dạng các video lặp lại nhỏ. Tắt tùy chọn này để chỉ hiển thị hình ảnh tĩnh của các cảnh báo gần đây trên thiết bị/trình duyệt này.",
         "label": "Phát video cảnh báo"
       },
-      "title": "Bảng điều khiển trực tiếp"
+      "title": "Bảng điều khiển trực tiếp",
+      "displayCameraNames": {
+        "label": "Luôn hiển thị tên camera",
+        "desc": "Luôn hiển thị tên camera trong một con chip trong bảng điều khiển xem trực tiếp nhiều camera."
+      },
+      "liveFallbackTimeout": {
+        "label": "Hết thời gian chờ dự phòng của người chơi trực tiếp",
+        "desc": "Khi luồng trực tiếp chất lượng cao của camera không khả dụng, tự động chuyển sang chế độ băng thông thấp sau số giây này. Mặc định: 3."
+      }
     },
     "recordingsViewer": {
       "defaultPlaybackRate": {
@@ -579,7 +589,7 @@
       },
       "title": "Trình xem Bản ghi"
     },
-    "title": "Cài đặt Chung"
+    "title": "Cài đặt giao diện"
   },
   "dialog": {
     "unsavedChanges": {
@@ -659,7 +669,10 @@
     "motionTuner": "Tinh chỉnh Chuyển động",
     "cameras": "Cài đặt Camera",
     "enrichments": "Làm giàu Dữ liệu",
-    "triggers": "Sự kiện kích hoạt"
+    "triggers": "Sự kiện kích hoạt",
+    "cameraManagement": "Quản lý",
+    "cameraReview": "Đánh giá",
+    "roles": "Vai trò"
   },
   "cameraSetting": {
     "camera": "Máy quay",
@@ -668,7 +681,7 @@
   "triggers": {
     "documentTitle": "Sự kiện kích hoạt",
     "management": {
-      "title": "Quản lý sự kiện kích hoạt",
+      "title": "Sự kiện kích hoạt",
       "desc": "Quản lý sự kiện kích hoạt cho {{camera}}. Sử dụng kiểu \"ảnh xem trước\" để kích hoạt dựa trên ảnh xem trước tương tự cho đối tượng cần theo dõi đã chọn, và kiểu \"mô tả\" để kích hoạt dựa trên những mô tả tương tự cho đoạn văn bản bạn đã chỉ định."
     },
     "addTrigger": "Thêm sự kiện kích hoạt",
@@ -694,17 +707,17 @@
         },
         "actions": {
           "title": "Các hành động",
-          "desc": "Theo mặc định, hệ thống đã luôn tự động ghi nhận lại mọi sự kiện. Bạn có thể chọn thêm một hành động khác để thực hiện khi sự kiện này xảy ra.",
+          "desc": "Theo mặc định, Frigate kích hoạt thông báo MQTT cho tất cả các trình kích hoạt. Nhãn phụ thêm tên kích hoạt vào nhãn đối tượng. Thuộc tính là siêu dữ liệu có thể tìm kiếm được lưu trữ riêng biệt trong siêu dữ liệu đối tượng được theo dõi.",
           "error": {
             "min": "Phải chọn ít nhất một hành động."
           }
         },
         "name": {
           "title": "Tên",
-          "placeholder": "Nhập tên sự kiện kích hoạt",
+          "placeholder": "Tên sự kiện kích hoạt",
           "error": {
-            "minLength": "Tên phải có độ dài ít nhất 2 ký tự.",
-            "invalidCharacters": "Tên chỉ có thể chứa ký tự, chữ số, gạch chân, và gạch nối.",
+            "minLength": "Trường phải dài ít nhất 2 ký tự.",
+            "invalidCharacters": "Trường chỉ có thể chứa các chữ cái, số, dấu gạch dưới và dấu gạch nối.",
             "alreadyExists": "Một sự kiện kích hoạt trùng tên đã tồn tại cho máy quay này."
           }
         },
@@ -716,7 +729,7 @@
           "title": "Nội dung",
           "imagePlaceholder": "Chọn một hình ảnh",
           "textPlaceholder": "Nhập nội dung văn bản",
-          "imageDesc": "Chọn một hình ảnh để kích hoạt hành động này khi một hình ảnh tương tự được phát hiện.",
+          "imageDesc": "Chỉ 100 hình thu nhỏ gần đây nhất được hiển thị. Nếu bạn không thể tìm thấy hình thu nhỏ mong muốn, vui lòng xem lại các đối tượng trước đó trong Khám phá và thiết lập trình kích hoạt từ menu ở đó.",
           "textDesc": "Nhập vẵn bản để kích hoạt hành động này khi một đối tượng theo dõi với mô tả tương tự được phát hiện.",
           "error": {
             "required": "Nội dung bắt buộc."
diff --git a/web/public/locales/vi/views/system.json b/web/public/locales/vi/views/system.json
index c1549033a..bdaffe7b9 100644
--- a/web/public/locales/vi/views/system.json
+++ b/web/public/locales/vi/views/system.json
@@ -42,7 +42,12 @@
       "gpuUsage": "Mức sử dụng GPU",
       "gpuMemory": "Bộ nhớ GPU",
       "gpuEncoder": "Bộ mã hóa GPU",
-      "gpuDecoder": "Bộ giải mã GPU"
+      "gpuDecoder": "Bộ giải mã GPU",
+      "intelGpuWarning": {
+        "title": "Cảnh báo thống kê GPU Intel",
+        "message": "Không có số liệu thống kê GPU",
+        "description": "Đây là lỗi đã biết trong công cụ báo cáo thống kê GPU của Intel (intel_gpu_top), khi nó bị trục trặc và liên tục trả về mức sử dụng GPU là 0%, dù thực tế phần cứng tăng tốc và nhận diện đối tượng đang hoạt động đúng trên (i)GPU. Đây không phải lỗi của Frigate. Bạn có thể khởi động lại máy chủ để tạm thời khắc phục và xác nhận GPU vẫn hoạt động bình thường. Điều này không ảnh hưởng đến hiệu suất."
+      }
     },
     "otherProcesses": {
       "processCpuUsage": "Mức sử dụng CPU của Tiến trình",
@@ -153,10 +158,17 @@
       "face_recognition_speed": "Tốc độ Nhận dạng Khuôn mặt",
       "plate_recognition_speed": "Tốc độ Nhận dạng Biển số",
       "yolov9_plate_detection_speed": "Tốc độ Phát hiện Biển số YOLOv9",
-      "yolov9_plate_detection": "Phát hiện Biển số YOLOv9"
+      "yolov9_plate_detection": "Phát hiện Biển số YOLOv9",
+      "review_description": "Đánh giá mô tả",
+      "review_description_speed": "Đánh giá Mô tả Tốc độ",
+      "review_description_events_per_second": "Đánh giá mô tả",
+      "object_description": "Mô tả đối tượng",
+      "object_description_speed": "Đối tượng Mô tả Tốc độ",
+      "object_description_events_per_second": "Mô tả đối tượng"
     },
     "title": "Làm giàu Dữ liệu",
-    "infPerSecond": "Suy luận Mỗi Giây"
+    "infPerSecond": "Suy luận Mỗi Giây",
+    "averageInf": "Thời gian suy luận trung bình"
   },
   "title": "Hệ thống",
   "metrics": "Số liệu hệ thống",
diff --git a/web/public/locales/yue-Hant/common.json b/web/public/locales/yue-Hant/common.json
index 60bb2a2c6..a65550366 100644
--- a/web/public/locales/yue-Hant/common.json
+++ b/web/public/locales/yue-Hant/common.json
@@ -76,6 +76,14 @@
     "length": {
       "feet": "呎",
       "meters": "米"
+    },
+    "data": {
+      "kbps": "kB/秒",
+      "mbps": "MB/秒",
+      "gbps": "GB/秒",
+      "kbph": "kB/小時",
+      "mbph": "MB/小時",
+      "gbph": "GB/小時"
     }
   },
   "label": {
@@ -160,7 +168,15 @@
       "he": "עברית (希伯來文)",
       "yue": "粵語 (廣東話)",
       "th": "ไทย (泰文)",
-      "ca": "Català (加泰羅尼亞語)"
+      "ca": "Català (加泰羅尼亞語)",
+      "ptBR": "Português brasileiro (巴西葡萄牙文)",
+      "sr": "Српски (塞爾維亞文)",
+      "sl": "Slovenščina (斯洛文尼亞文)",
+      "lt": "Lietuvių (立陶宛文)",
+      "bg": "Български (保加利亞文)",
+      "gl": "Galego (加利西亞文)",
+      "id": "Bahasa Indonesia (印尼文)",
+      "ur": "اردو (烏爾都文)"
     },
     "appearance": "外觀",
     "darkMode": {
@@ -249,5 +265,8 @@
     "desc": "找不到頁面",
     "title": "404"
   },
-  "readTheDocumentation": "閱讀文件"
+  "readTheDocumentation": "閱讀文件",
+  "information": {
+    "pixels": "{{area}}像素"
+  }
 }
diff --git a/web/public/locales/yue-Hant/components/camera.json b/web/public/locales/yue-Hant/components/camera.json
index 80cb5d833..ecfa4638c 100644
--- a/web/public/locales/yue-Hant/components/camera.json
+++ b/web/public/locales/yue-Hant/components/camera.json
@@ -40,7 +40,8 @@
         "audioIsUnavailable": "此串流沒有音訊",
         "placeholder": "選擇串流來源",
         "stream": "串流"
-      }
+      },
+      "birdseye": "鳥瞰"
     },
     "delete": {
       "confirm": {
diff --git a/web/public/locales/yue-Hant/components/dialog.json b/web/public/locales/yue-Hant/components/dialog.json
index 775681b07..1a3911048 100644
--- a/web/public/locales/yue-Hant/components/dialog.json
+++ b/web/public/locales/yue-Hant/components/dialog.json
@@ -106,7 +106,15 @@
     "button": {
       "export": "匯出",
       "markAsReviewed": "標記為已審查",
-      "deleteNow": "立即刪除"
+      "deleteNow": "立即刪除",
+      "markAsUnreviewed": "標記為未審查"
     }
+  },
+  "imagePicker": {
+    "selectImage": "選取追蹤物件縮圖",
+    "search": {
+      "placeholder": "以標籤或子標籤搜尋..."
+    },
+    "noImages": "未找到此鏡頭的縮圖"
   }
 }
diff --git a/web/public/locales/yue-Hant/components/filter.json b/web/public/locales/yue-Hant/components/filter.json
index b2de0f6e6..bfdc93576 100644
--- a/web/public/locales/yue-Hant/components/filter.json
+++ b/web/public/locales/yue-Hant/components/filter.json
@@ -91,7 +91,9 @@
     "selectPlatesFromList": "從列表中選取一個或多個車牌。",
     "placeholder": "輸入以搜尋車牌…",
     "title": "已識別車牌",
-    "loadFailed": "載入已識別車牌失敗。"
+    "loadFailed": "載入已識別車牌失敗。",
+    "selectAll": "全部選取",
+    "clearAll": "全部清除"
   },
   "estimatedSpeed": "預計速度（{{unit}}）",
   "labels": {
@@ -122,5 +124,13 @@
     "selectPreset": "選擇預設設定…"
   },
   "more": "更多篩選條件",
-  "timeRange": "時間範圍"
+  "timeRange": "時間範圍",
+  "classes": {
+    "label": "分類",
+    "all": {
+      "title": "所有分類"
+    },
+    "count_one": "{{count}} 個分類",
+    "count_other": "{{count}} 個分類"
+  }
 }
diff --git a/web/public/locales/yue-Hant/views/classificationModel.json b/web/public/locales/yue-Hant/views/classificationModel.json
new file mode 100644
index 000000000..0967ef424
--- /dev/null
+++ b/web/public/locales/yue-Hant/views/classificationModel.json
@@ -0,0 +1 @@
+{}
diff --git a/web/public/locales/yue-Hant/views/configEditor.json b/web/public/locales/yue-Hant/views/configEditor.json
index 3e23edb7f..5bf9d8a2e 100644
--- a/web/public/locales/yue-Hant/views/configEditor.json
+++ b/web/public/locales/yue-Hant/views/configEditor.json
@@ -12,5 +12,7 @@
       "savingError": "儲存設定時出錯"
     }
   },
-  "confirm": "是否不儲存就離開？"
+  "confirm": "是否不儲存就離開？",
+  "safeConfigEditor": "設定編輯器 (安全模式)",
+  "safeModeDescription": "Frigate 因配置驗證錯誤而進入安全模式。"
 }
diff --git a/web/public/locales/yue-Hant/views/events.json b/web/public/locales/yue-Hant/views/events.json
index e9929a350..b5e9dc84d 100644
--- a/web/public/locales/yue-Hant/views/events.json
+++ b/web/public/locales/yue-Hant/views/events.json
@@ -34,5 +34,7 @@
   },
   "detections": "偵測",
   "timeline.aria": "選擇時間線",
-  "detected": "已偵測"
+  "detected": "已偵測",
+  "suspiciousActivity": "可疑行為",
+  "threateningActivity": "威脅行為"
 }
diff --git a/web/public/locales/yue-Hant/views/explore.json b/web/public/locales/yue-Hant/views/explore.json
index 46db41b6f..e3a8c9409 100644
--- a/web/public/locales/yue-Hant/views/explore.json
+++ b/web/public/locales/yue-Hant/views/explore.json
@@ -101,12 +101,14 @@
         "success": {
           "updatedSublabel": "成功更新子標籤。",
           "updatedLPR": "成功更新車牌號碼。",
-          "regenerate": "已從 {{provider}} 請求新的描述。根據提供者的速度，生成新的描述可能需要一些時間。"
+          "regenerate": "已從 {{provider}} 請求新的描述。根據提供者的速度，生成新的描述可能需要一些時間。",
+          "audioTranscription": "成功請求音訊轉錄。"
         },
         "error": {
           "regenerate": "呼叫 {{provider}} 以獲取新描述失敗：{{errorMessage}}",
           "updatedSublabelFailed": "更新子標籤失敗：{{errorMessage}}",
-          "updatedLPRFailed": "更新車牌號碼失敗：{{errorMessage}}"
+          "updatedLPRFailed": "更新車牌號碼失敗：{{errorMessage}}",
+          "audioTranscription": "請求音訊轉錄失敗：{{errorMessage}}"
         }
       }
     },
@@ -152,7 +154,10 @@
       "label": "快照分數"
     },
     "expandRegenerationMenu": "展開重新生成選單",
-    "regenerateFromThumbnails": "從縮圖重新生成"
+    "regenerateFromThumbnails": "從縮圖重新生成",
+    "score": {
+      "label": "分數"
+    }
   },
   "itemMenu": {
     "downloadVideo": {
@@ -181,6 +186,14 @@
     },
     "deleteTrackedObject": {
       "label": "刪除此追蹤物件"
+    },
+    "addTrigger": {
+      "label": "新增觸發器",
+      "aria": "為此追蹤物件新增觸發器"
+    },
+    "audioTranscription": {
+      "label": "轉錄音訊",
+      "aria": "請求音訊轉錄"
     }
   },
   "dialog": {
@@ -201,5 +214,11 @@
     "tooltip": "已配對{{type}}（{{confidence}}% 信心"
   },
   "trackedObjectsCount_other": "{{count}} 個追蹤物件 ",
-  "exploreMore": "瀏覽更多{{label}}物件"
+  "exploreMore": "瀏覽更多{{label}}物件",
+  "aiAnalysis": {
+    "title": "AI 分析"
+  },
+  "concerns": {
+    "label": "關注"
+  }
 }
diff --git a/web/public/locales/yue-Hant/views/faceLibrary.json b/web/public/locales/yue-Hant/views/faceLibrary.json
index 2c1e11b24..53525d914 100644
--- a/web/public/locales/yue-Hant/views/faceLibrary.json
+++ b/web/public/locales/yue-Hant/views/faceLibrary.json
@@ -61,7 +61,7 @@
       "selectImage": "請選擇一個圖片檔案。"
     },
     "dropActive": "將圖片拖到這裡…",
-    "dropInstructions": "拖放圖片到此處，或點擊選取",
+    "dropInstructions": "拖放圖片或貼上到此處，或點擊選取",
     "maxSize": "最大檔案大小：{{size}}MB"
   },
   "readTheDocs": "閱讀文件",
diff --git a/web/public/locales/yue-Hant/views/live.json b/web/public/locales/yue-Hant/views/live.json
index d9dda2630..bb3b440ee 100644
--- a/web/public/locales/yue-Hant/views/live.json
+++ b/web/public/locales/yue-Hant/views/live.json
@@ -37,6 +37,14 @@
       "out": {
         "label": "縮小 PTZ 鏡頭"
       }
+    },
+    "focus": {
+      "in": {
+        "label": "PTZ 鏡頭拉近焦距"
+      },
+      "out": {
+        "label": "PTZ 鏡頭拉遠焦距"
+      }
     }
   },
   "twoWayTalk": {
@@ -66,7 +74,7 @@
     "disable": "隱藏串流統計資料"
   },
   "manualRecording": {
-    "title": "按需錄影",
+    "title": "按需",
     "tips": "根據此鏡頭的錄影保留設定手動啟動事件。",
     "debugView": "除錯視圖",
     "start": "開始按需錄影",
@@ -126,6 +134,9 @@
     "playInBackground": {
       "tips": "啟用此選項可在播放器隱藏時繼續串流播放。",
       "label": "背景播放"
+    },
+    "debug": {
+      "picker": "除錯模式下無法選擇串流。除錯視圖永遠使用已分配偵測角色的串流。"
     }
   },
   "cameraSettings": {
@@ -135,7 +146,8 @@
     "snapshots": "快照",
     "autotracking": "自動追蹤",
     "audioDetection": "音訊偵測",
-    "title": "{{camera}} 設定"
+    "title": "{{camera}} 設定",
+    "transcription": "音訊轉錄"
   },
   "history": {
     "label": "顯示歷史影像"
@@ -154,5 +166,20 @@
       "label": "編輯鏡頭群組"
     },
     "exitEdit": "結束編輯"
+  },
+  "transcription": {
+    "enable": "啟用即時音訊轉錄",
+    "disable": "停用即時音訊轉錄"
+  },
+  "noCameras": {
+    "title": "未設置任何鏡頭",
+    "description": "連接鏡頭開始使用。",
+    "buttonText": "新增鏡頭"
+  },
+  "snapshot": {
+    "takeSnapshot": "下載即時快照",
+    "noVideoSource": "無可用影片來源以擷取快照。",
+    "captureFailed": "擷取快照失敗。",
+    "downloadStarted": "已開始下載快照。"
   }
 }
diff --git a/web/public/locales/yue-Hant/views/settings.json b/web/public/locales/yue-Hant/views/settings.json
index a68c9d2bd..34982abb4 100644
--- a/web/public/locales/yue-Hant/views/settings.json
+++ b/web/public/locales/yue-Hant/views/settings.json
@@ -10,7 +10,9 @@
     "general": "一般設定 - Frigate",
     "frigatePlus": "Frigate+ 設定 - Frigate",
     "notifications": "通知設定 - Frigate",
-    "enrichments": "進階功能設定 - Frigate"
+    "enrichments": "進階功能設定 - Frigate",
+    "cameraManagement": "管理鏡頭 - Frigate",
+    "cameraReview": "鏡頭檢視設定 - Frigate"
   },
   "menu": {
     "ui": "介面",
@@ -22,7 +24,11 @@
     "users": "用戶",
     "notifications": "通知",
     "frigateplus": "Frigate+",
-    "enrichments": "進階功能"
+    "enrichments": "進階功能",
+    "triggers": "觸發器",
+    "roles": "角色",
+    "cameraManagement": "管理",
+    "cameraReview": "審查"
   },
   "dialog": {
     "unsavedChanges": {
@@ -178,6 +184,43 @@
         "success": "審查分類設定已儲存。請重新啟動Frigate以套用更改。"
       },
       "unsavedChanges": "{{camera}}的審查分類設定尚未儲存"
+    },
+    "object_descriptions": {
+      "title": "生成式 AI 物件描述",
+      "desc": "暫時啟用或停用此鏡頭生成式 AI 物件描述。停用時，不會為此鏡頭的追蹤物件請求 AI 描述。"
+    },
+    "review_descriptions": {
+      "title": "生成式 AI 審查描述",
+      "desc": "暫時啟用或停用此鏡頭生成式 AI 審查描述。停用時，不會為此鏡頭的審查項目請求 AI 描述。"
+    },
+    "addCamera": "新增鏡頭",
+    "editCamera": "編輯鏡頭：",
+    "selectCamera": "選擇鏡頭",
+    "backToSettings": "返回鏡頭設定",
+    "cameraConfig": {
+      "add": "新增鏡頭",
+      "edit": "編輯鏡頭",
+      "description": "設定鏡頭，包括串流輸入同角色分配。",
+      "name": "鏡頭名稱",
+      "nameRequired": "必須填寫鏡頭名稱",
+      "nameLength": "鏡頭名稱不得多於 24 個字元。",
+      "namePlaceholder": "例如：front_door",
+      "enabled": "已啟用",
+      "ffmpeg": {
+        "inputs": "輸入串流",
+        "path": "串流路徑",
+        "pathRequired": "必須填寫串流路徑",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "角色",
+        "rolesRequired": "至少需要分配一個角色",
+        "rolesUnique": "每個角色（音訊、偵測、錄影）只可分配到一個串流",
+        "addInput": "新增輸入串流",
+        "removeInput": "移除輸入串流",
+        "inputsRequired": "至少需要一個輸入串流"
+      },
+      "toast": {
+        "success": "鏡頭 {{cameraName}} 已成功儲存"
+      }
     }
   },
   "masksAndZones": {
@@ -417,6 +460,19 @@
       "ratio": "比例",
       "desc": "在圖片上畫矩形以查看面積與比例詳情",
       "tips": "啟用此選項後，會於鏡頭畫面上繪製矩形，以顯示其面積及比例。這些數值可用於設定物件形狀過濾參數。"
+    },
+    "openCameraWebUI": "打開 {{camera}} 的網頁介面",
+    "audio": {
+      "title": "音訊",
+      "noAudioDetections": "未偵測到音訊",
+      "score": "分數",
+      "currentRMS": "目前 RMS",
+      "currentdbFS": "目前 dbFS"
+    },
+    "paths": {
+      "title": "軌跡",
+      "desc": "顯示追蹤物件軌跡上的重要點",
+      "tips": "<p><strong>軌跡</strong></p><br><p>線條同圓圈會標示追蹤物件整個生命周期中移動過的重要點。</p>"
     }
   },
   "users": {
@@ -502,7 +558,8 @@
           "adminDesc": "可使用所有功能。",
           "viewer": "觀看者",
           "viewerDesc": "只限使用即時儀表板、審查、瀏覽及匯出功能。",
-          "admin": "管理員"
+          "admin": "管理員",
+          "customDesc": "自訂角色，具特定鏡頭存取權限。"
         },
         "select": "選擇角色"
       },
@@ -676,5 +733,386 @@
       "success": "進階功能設定已儲存。請重新啟動 Frigate 以套用你的更改。",
       "error": "儲存設定變更失敗：{{errorMessage}}"
     }
+  },
+  "roles": {
+    "management": {
+      "title": "觀察者角色管理",
+      "desc": "管理自訂觀察者角色及其對此 Frigate 實例的鏡頭存取權限。"
+    },
+    "addRole": "新增角色",
+    "table": {
+      "role": "角色",
+      "cameras": "鏡頭",
+      "actions": "操作",
+      "noRoles": "未找到自訂角色。",
+      "editCameras": "編輯鏡頭",
+      "deleteRole": "刪除角色"
+    },
+    "toast": {
+      "success": {
+        "createRole": "角色 {{role}} 已成功建立",
+        "updateCameras": "角色 {{role}} 的鏡頭已更新",
+        "deleteRole": "角色 {{role}} 已成功刪除",
+        "userRolesUpdated_other": "{{count}} 位使用者被更新為「觀察者」角色，將可存取所有鏡頭。"
+      },
+      "error": {
+        "createRoleFailed": "建立角色失敗：{{errorMessage}}",
+        "updateCamerasFailed": "更新鏡頭失敗：{{errorMessage}}",
+        "deleteRoleFailed": "刪除角色失敗：{{errorMessage}}",
+        "userUpdateFailed": "更新使用者角色失敗：{{errorMessage}}"
+      }
+    },
+    "dialog": {
+      "createRole": {
+        "title": "建立新角色",
+        "desc": "新增角色，並指定鏡頭存取權限。"
+      },
+      "editCameras": {
+        "title": "編輯角色鏡頭",
+        "desc": "更新角色 <strong>{{role}}</strong> 的鏡頭存取權限。"
+      },
+      "deleteRole": {
+        "title": "刪除角色",
+        "desc": "此操作無法復原。將永久刪除該角色，並將使用此角色的所有使用者改為「觀察者」角色，可存取所有鏡頭。",
+        "warn": "你確定要刪除 <strong>{{role}}</strong> 嗎？",
+        "deleting": "正在刪除…"
+      },
+      "form": {
+        "role": {
+          "title": "角色名稱",
+          "placeholder": "輸入角色名稱",
+          "desc": "只允許字母、數字、句號或底線。",
+          "roleIsRequired": "必須填寫角色名稱",
+          "roleOnlyInclude": "角色名稱只可包含字母、數字、句號或底線",
+          "roleExists": "已有相同名稱的角色存在。"
+        },
+        "cameras": {
+          "title": "鏡頭",
+          "desc": "選擇此角色可存取的鏡頭。至少需要選擇一個鏡頭。",
+          "required": "至少需要選擇一個鏡頭。"
+        }
+      }
+    }
+  },
+  "triggers": {
+    "documentTitle": "觸發器",
+    "semanticSearch": {
+      "title": "語意搜尋已停用",
+      "desc": "必須啟用語意搜尋才能使用觸發器。"
+    },
+    "management": {
+      "title": "觸發器管理",
+      "desc": "管理 {{camera}} 的觸發器。使用縮圖類型可對與所選追蹤物件相似的縮圖觸發，使用描述類型可對與你指定文字描述相似的事件觸發。"
+    },
+    "addTrigger": "新增觸發器",
+    "table": {
+      "name": "名稱",
+      "type": "類型",
+      "content": "內容",
+      "threshold": "閾值",
+      "actions": "操作",
+      "noTriggers": "此鏡頭尚未設定任何觸發器。",
+      "edit": "編輯",
+      "deleteTrigger": "刪除觸發器",
+      "lastTriggered": "上次觸發"
+    },
+    "type": {
+      "thumbnail": "縮圖",
+      "description": "描述"
+    },
+    "actions": {
+      "alert": "標記為警報",
+      "notification": "發送通知"
+    },
+    "dialog": {
+      "createTrigger": {
+        "title": "建立觸發器",
+        "desc": "為鏡頭 {{camera}} 建立觸發器"
+      },
+      "editTrigger": {
+        "title": "編輯觸發器",
+        "desc": "編輯鏡頭 {{camera}} 的觸發器設定"
+      },
+      "deleteTrigger": {
+        "title": "刪除觸發器",
+        "desc": "你確定要刪除觸發器 <strong>{{triggerName}}</strong> 嗎？此操作無法復原。"
+      },
+      "form": {
+        "name": {
+          "title": "名稱",
+          "placeholder": "輸入觸發器名稱",
+          "error": {
+            "minLength": "名稱至少需 2 個字元。",
+            "invalidCharacters": "名稱只可包含字母、數字、底線及連字符。",
+            "alreadyExists": "此鏡頭已有相同名稱的觸發器。"
+          }
+        },
+        "enabled": {
+          "description": "啟用或停用此觸發器"
+        },
+        "type": {
+          "title": "類型",
+          "placeholder": "選擇觸發器類型"
+        },
+        "friendly_name": {
+          "title": "顯示名稱",
+          "placeholder": "為此觸發器命名或描述",
+          "description": "此觸發器的可選顯示名稱或描述文字。"
+        },
+        "content": {
+          "title": "內容",
+          "imagePlaceholder": "選擇圖片",
+          "textPlaceholder": "輸入文字內容",
+          "imageDesc": "選擇圖片，當偵測到相似圖片時觸發此動作。",
+          "textDesc": "輸入文字，當偵測到相似追蹤物件描述時觸發此動作。",
+          "error": {
+            "required": "必須提供內容。"
+          }
+        },
+        "threshold": {
+          "title": "閾值",
+          "error": {
+            "min": "閾值至少為 0",
+            "max": "閾值最多為 1"
+          }
+        },
+        "actions": {
+          "title": "操作",
+          "desc": "預設情況下，Frigate 會對所有觸發器發送 MQTT 訊息。可選擇額外操作，在觸發器觸發時執行。",
+          "error": {
+            "min": "至少需要選擇一個操作。"
+          }
+        }
+      }
+    },
+    "toast": {
+      "success": {
+        "createTrigger": "觸發器 {{name}} 已成功建立。",
+        "updateTrigger": "觸發器 {{name}} 已成功更新。",
+        "deleteTrigger": "觸發器 {{name}} 已成功刪除。"
+      },
+      "error": {
+        "createTriggerFailed": "建立觸發器失敗：{{errorMessage}}",
+        "updateTriggerFailed": "更新觸發器失敗：{{errorMessage}}",
+        "deleteTriggerFailed": "刪除觸發器失敗：{{errorMessage}}"
+      }
+    }
+  },
+  "cameraWizard": {
+    "title": "新增鏡頭",
+    "description": "請依照以下步驟，將新鏡頭加入 Frigate。",
+    "steps": {
+      "nameAndConnection": "名稱與連線",
+      "streamConfiguration": "串流設定",
+      "validationAndTesting": "驗證與測試"
+    },
+    "save": {
+      "success": "已成功儲存新鏡頭 {{cameraName}}。",
+      "failure": "儲存 {{cameraName}} 時發生錯誤。"
+    },
+    "testResultLabels": {
+      "resolution": "解析度",
+      "video": "影像",
+      "audio": "音訊",
+      "fps": "每秒影格數"
+    },
+    "commonErrors": {
+      "noUrl": "請輸入有效的串流網址",
+      "testFailed": "串流測試失敗：{{error}}"
+    },
+    "step1": {
+      "description": "輸入鏡頭詳細資料並測試連線。",
+      "cameraName": "鏡頭名稱",
+      "cameraNamePlaceholder": "例如：front_door 或 back_yard_overview",
+      "host": "主機名稱／IP 位址",
+      "port": "連接埠",
+      "username": "用戶名稱",
+      "usernamePlaceholder": "可選",
+      "password": "密碼",
+      "passwordPlaceholder": "選擇傳輸協定",
+      "selectTransport": "選擇傳輸協定",
+      "cameraBrand": "鏡頭品牌",
+      "selectBrand": "選擇鏡頭品牌以套用 URL 模板",
+      "customUrl": "自訂串流網址",
+      "brandInformation": "品牌資訊",
+      "brandUrlFormat": "適用於 RTSP 網址格式如下的鏡頭：{{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://username:password@host:port/path",
+      "testConnection": "測試連線",
+      "testSuccess": "連線測試成功！",
+      "testFailed": "連線測試失敗，請檢查輸入內容後再試一次。",
+      "streamDetails": "串流詳情",
+      "warnings": {
+        "noSnapshot": "無法從設定的串流中擷取快照。"
+      },
+      "errors": {
+        "brandOrCustomUrlRequired": "請選擇包含主機/IP 的鏡頭品牌，或選擇「其他」並輸入自訂網址",
+        "nameRequired": "必須輸入鏡頭名稱",
+        "nameLength": "鏡頭名稱長度不得超過 64 個字元",
+        "invalidCharacters": "鏡頭名稱包含無效字元",
+        "nameExists": "鏡頭名稱已存在",
+        "brands": {
+          "reolink-rtsp": "不建議使用 Reolink RTSP。建議在鏡頭設定中啟用 HTTP，並重新啟動鏡頭設定精靈。"
+        }
+      },
+      "docs": {
+        "reolink": "https://docs.frigate.video/configuration/camera_specific.html#reolink-cameras"
+      }
+    },
+    "step2": {
+      "description": "設定鏡頭的串流角色，並可新增額外串流。",
+      "streamsTitle": "鏡頭串流",
+      "addStream": "新增串流",
+      "addAnotherStream": "新增另一個串流",
+      "streamTitle": "串流 {{number}}",
+      "streamUrl": "串流網址",
+      "streamUrlPlaceholder": "rtsp://username:password@host:port/path",
+      "url": "網址",
+      "resolution": "解析度",
+      "selectResolution": "選擇解析度",
+      "quality": "畫質",
+      "selectQuality": "選擇畫質",
+      "roles": "角色",
+      "roleLabels": {
+        "detect": "物件偵測",
+        "record": "錄影",
+        "audio": "音訊"
+      },
+      "testStream": "測試連線",
+      "testSuccess": "串流測試成功！",
+      "testFailed": "串流測試失敗",
+      "testFailedTitle": "測試失敗",
+      "connected": "已連線",
+      "notConnected": "未連線",
+      "featuresTitle": "功能",
+      "go2rtc": "減少與鏡頭的連線數",
+      "detectRoleWarning": "至少需有一個串流設定為「偵測」角色才能繼續。",
+      "rolesPopover": {
+        "title": "串流角色",
+        "detect": "用於物件偵測的主要影像來源。",
+        "record": "根據設定儲存影片片段。",
+        "audio": "用於音訊偵測的來源。"
+      },
+      "featuresPopover": {
+        "title": "串流功能",
+        "description": "使用 go2rtc 轉串流以減少與鏡頭的直接連線。"
+      }
+    },
+    "step3": {
+      "description": "在儲存新鏡頭前進行最後驗證與分析。請先連線所有串流後再儲存。",
+      "validationTitle": "串流驗證",
+      "connectAllStreams": "連線所有串流",
+      "reconnectionSuccess": "重新連線成功。",
+      "reconnectionPartial": "部分串流重新連線失敗。",
+      "streamUnavailable": "無法預覽串流",
+      "reload": "重新載入",
+      "connecting": "正在連線...",
+      "streamTitle": "串流 {{number}}",
+      "valid": "有效",
+      "failed": "失敗",
+      "notTested": "未測試",
+      "connectStream": "連線",
+      "connectingStream": "連線中",
+      "disconnectStream": "中斷連線",
+      "estimatedBandwidth": "預計頻寬",
+      "roles": "角色",
+      "none": "無",
+      "error": "錯誤",
+      "streamValidated": "串流 {{number}} 驗證成功",
+      "streamValidationFailed": "串流 {{number}} 驗證失敗",
+      "saveAndApply": "儲存新鏡頭",
+      "saveError": "設定無效，請檢查你的設定。",
+      "issues": {
+        "title": "串流驗證",
+        "videoCodecGood": "影片編碼格式為 {{codec}}。",
+        "audioCodecGood": "音訊編碼格式為 {{codec}}。",
+        "noAudioWarning": "此串流未偵測到音訊，錄影將不會有聲音。",
+        "audioCodecRecordError": "錄影要支援音訊，必須使用 AAC 編碼。",
+        "audioCodecRequired": "要支援音訊偵測，必須有音訊串流。",
+        "restreamingWarning": "若減少錄影串流與鏡頭的連線，CPU 使用率可能會略微增加。",
+        "dahua": {
+          "substreamWarning": "子串流 1 被鎖定為低解析度。許多 Dahua / Amcrest / EmpireTech 鏡頭支援額外子串流，需要在鏡頭設定中啟用。建議如有可用，檢查並使用這些子串流。"
+        },
+        "hikvision": {
+          "substreamWarning": "子串流 1 被鎖定為低解析度。許多 Hikvision 鏡頭支援額外子串流，需要在鏡頭設定中啟用。建議如有可用，檢查並使用這些子串流。"
+        }
+      }
+    }
+  },
+  "cameraManagement": {
+    "title": "管理鏡頭",
+    "addCamera": "新增鏡頭",
+    "editCamera": "編輯鏡頭：",
+    "selectCamera": "選擇鏡頭",
+    "backToSettings": "返回鏡頭設定",
+    "streams": {
+      "title": "啟用／停用鏡頭",
+      "desc": "暫時停用鏡頭，直到 Frigate 重新啟動。停用鏡頭會完全停止 Frigate 對該鏡頭串流的處理。偵測、錄影及除錯功能將無法使用。<br /><em>注意：這不會停用 go2rtc 轉串流。</em>"
+    },
+    "cameraConfig": {
+      "add": "新增鏡頭",
+      "edit": "編輯鏡頭",
+      "description": "設定鏡頭，包括串流輸入與角色。",
+      "name": "鏡頭名稱",
+      "nameRequired": "必須輸入鏡頭名稱",
+      "nameLength": "鏡頭名稱長度不得超過 64 個字元。",
+      "namePlaceholder": "例如：front_door 或 back_yard_overview",
+      "enabled": "已啟用",
+      "ffmpeg": {
+        "inputs": "輸入串流",
+        "path": "串流路徑",
+        "pathRequired": "必須提供串流路徑",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "角色",
+        "rolesRequired": "至少需要一個角色",
+        "rolesUnique": "每個角色（音訊 / 偵測 / 錄影）只能分配給一個串流",
+        "addInput": "新增輸入串流",
+        "removeInput": "移除輸入串流",
+        "inputsRequired": "至少需要一個輸入串流"
+      },
+      "go2rtcStreams": "go2rtc 串流",
+      "streamUrls": "串流網址",
+      "addUrl": "新增網址",
+      "addGo2rtcStream": "新增 go2rtc 串流",
+      "toast": {
+        "success": "鏡頭 {{cameraName}} 已成功儲存"
+      }
+    }
+  },
+  "cameraReview": {
+    "title": "鏡頭檢視設定",
+    "object_descriptions": {
+      "title": "生成式 AI 物件描述",
+      "desc": "暫時啟用／停用此鏡頭的生成式 AI 物件描述。停用時，系統不會為此鏡頭的追蹤物件生成 AI 描述。"
+    },
+    "review_descriptions": {
+      "title": "生成式 AI 審查描述",
+      "desc": "暫時啟用／停用此鏡頭的生成式 AI 審查描述。停用時，系統不會為此鏡頭的審查項目生成 AI 描述。"
+    },
+    "review": {
+      "title": "審查",
+      "desc": "暫時啟用／停用此鏡頭的警報與偵測，直到 Frigate 重啟。停用時，不會產生新的審查項目。 ",
+      "alerts": "警報 ",
+      "detections": "偵測 "
+    },
+    "reviewClassification": {
+      "title": "審查分類",
+      "desc": "Frigate 將審查項目分類為警報與偵測。預設情況下，所有 <em>person</em> 與 <em>car</em> 物件會視為警報。你可以透過設定對應區域來精確分類審查項目。",
+      "noDefinedZones": "此鏡頭未定義任何區域。",
+      "objectAlertsTips": "在{{cameraName}}上所有{{alertsLabels}}物件將會顯示為警報。",
+      "zoneObjectAlertsTips": "在{{cameraName}}的{{zone}}區域偵測到的所有{{alertsLabels}}物件將會顯示為警報。",
+      "objectDetectionsTips": "無論位於哪個區域，在{{cameraName}}上所有未分類的{{detectionsLabels}}物件將會顯示為偵測結果。",
+      "zoneObjectDetectionsTips": {
+        "text": "在{{cameraName}}的{{zone}}區域內所有未分類的{{detectionsLabels}}物件將會顯示為偵測結果。",
+        "notSelectDetections": "無論位於哪個區域，在{{cameraName}}的{{zone}}區域偵測到、但未分類為警報的{{detectionsLabels}}物件將會顯示為偵測結果。",
+        "regardlessOfZoneObjectDetectionsTips": "無論位於哪個區域，在{{cameraName}}上所有未分類的{{detectionsLabels}}物件將會顯示為偵測結果。"
+      },
+      "unsavedChanges": "{{camera}}的審查分類設定尚未儲存",
+      "selectAlertsZones": "選擇警報的區域",
+      "selectDetectionsZones": "選擇偵測的區域",
+      "limitDetections": "限制偵測至特定區域",
+      "toast": {
+        "success": "審查分類設定已儲存。請重新啟動Frigate以套用更改。"
+      }
+    }
   }
 }
diff --git a/web/public/locales/yue-Hant/views/system.json b/web/public/locales/yue-Hant/views/system.json
index 8accc5bb1..6b52401c8 100644
--- a/web/public/locales/yue-Hant/views/system.json
+++ b/web/public/locales/yue-Hant/views/system.json
@@ -41,7 +41,8 @@
       "memoryUsage": "偵測器記憶體使用量",
       "title": "偵測器",
       "cpuUsage": "偵測器 CPU 使用率",
-      "temperature": "偵測器溫度"
+      "temperature": "偵測器溫度",
+      "cpuUsageInformation": "CPU 用於準備偵測模型的輸入同輸出數據。此數值不計算推理運算，即使使用 GPU 或加速器也是一樣。"
     },
     "hardwareInfo": {
       "gpuUsage": "GPU 使用率",
@@ -102,6 +103,10 @@
       },
       "title": "鏡頭儲存",
       "percentageOfTotalUsed": "佔總量百分比"
+    },
+    "shm": {
+      "title": "SHM(共享記憶體) 分配",
+      "warning": "目前 SHM 大小 {{total}}MB 太小，請增加至至少 {{min_shm}}MB。"
     }
   },
   "cameras": {
@@ -158,7 +163,8 @@
     "detectHighCpuUsage": "{{camera}} 的偵測 CPU 使用率過高 ({{detectAvg}}%)",
     "healthy": "系統運作正常",
     "ffmpegHighCpuUsage": "{{camera}} 的 FFmpeg CPU 使用率過高 ({{ffmpegAvg}}%)",
-    "reindexingEmbeddings": "重新索引嵌入資料 (已完成 {{processed}}%)"
+    "reindexingEmbeddings": "重新索引嵌入資料 (已完成 {{processed}}%)",
+    "shmTooLow": "/dev/shm 分配（{{total}} MB）太小，請增加至至少 {{min}} MB。"
   },
   "enrichments": {
     "title": "進階功能",
diff --git a/web/public/locales/zh-CN/audio.json b/web/public/locales/zh-CN/audio.json
index bd97f632f..848418f84 100644
--- a/web/public/locales/zh-CN/audio.json
+++ b/web/public/locales/zh-CN/audio.json
@@ -102,7 +102,7 @@
   "flapping_wings": "翅膀拍打",
   "dogs": "狗群",
   "rats": "老鼠",
-  "mouse": "老鼠",
+  "mouse": "鼠标",
   "patter": "啪嗒声",
   "insect": "昆虫",
   "cricket": "蟋蟀",
@@ -425,5 +425,79 @@
   "television": "电视",
   "radio": "收音机",
   "field_recording": "实地录音",
-  "scream": "尖叫"
+  "scream": "尖叫",
+  "sodeling": "索德铃",
+  "chird": "啾鸣",
+  "change_ringing": "变奏钟声",
+  "shofar": "羊角号",
+  "liquid": "液体",
+  "splash": "液体飞溅",
+  "slosh": "液体晃动",
+  "squish": "挤压",
+  "drip": "水滴声",
+  "pour": "倒水声",
+  "trickle": "细流水声",
+  "gush": "液体喷涌",
+  "fill": "注水声",
+  "spray": "喷洒",
+  "pump": "泵送",
+  "stir": "搅拌声",
+  "boiling": "沸腾声",
+  "sonar": "声呐声",
+  "arrow": "箭矢声",
+  "whoosh": "呼啸声",
+  "thump": "砰击声",
+  "thunk": "沉闷声",
+  "electronic_tuner": "电子调音器",
+  "effects_unit": "效果器",
+  "chorus_effect": "合唱效果",
+  "basketball_bounce": "篮球反弹声",
+  "bang": "砰声",
+  "slap": "拍击声",
+  "whack": "重击声",
+  "smash": "猛击声",
+  "breaking": "破碎声",
+  "bouncing": "弹跳声",
+  "whip": "鞭打声",
+  "flap": "扑动声",
+  "scratch": "刮擦声",
+  "scrape": "刮擦声",
+  "rub": "摩擦声",
+  "roll": "滚动声",
+  "crushing": "压碎声",
+  "crumpling": "揉皱声",
+  "tearing": "撕裂声",
+  "beep": "哔声",
+  "ping": "嘀声",
+  "ding": "叮声",
+  "clang": "铛声",
+  "squeal": "尖锐声",
+  "creak": "嘎吱声",
+  "rustle": "沙沙声",
+  "whir": "嗡声",
+  "clatter": "哐啷声",
+  "sizzle": "滋滋声",
+  "clicking": "点击声",
+  "clickety_clack": "咔嗒声",
+  "rumble": "隆隆声",
+  "plop": "扑通声",
+  "hum": "嗡鸣声",
+  "zing": "嗖声",
+  "boing": "嘣声",
+  "crunch": "咔嚓声",
+  "sine_wave": "正弦波声",
+  "harmonic": "谐波声",
+  "chirp_tone": "啾声",
+  "pulse": "脉冲",
+  "inside": "室内声",
+  "outside": "室外声",
+  "reverberation": "混响",
+  "echo": "回声",
+  "noise": "噪声",
+  "mains_hum": "电流嗡声",
+  "distortion": "失真声",
+  "sidetone": "旁音",
+  "cacophony": "刺耳噪声",
+  "throbbing": "脉动声",
+  "vibration": "振动声"
 }
diff --git a/web/public/locales/zh-CN/common.json b/web/public/locales/zh-CN/common.json
index 2c028bcb2..42b1f5c65 100644
--- a/web/public/locales/zh-CN/common.json
+++ b/web/public/locales/zh-CN/common.json
@@ -75,7 +75,10 @@
     "formattedTimestampMonthDayYear": {
       "12hour": "yy年MM月dd日",
       "24hour": "yy年MM月dd日"
-    }
+    },
+    "inProgress": "进行中",
+    "invalidStartTime": "无效的开始时间",
+    "invalidEndTime": "无效的结束时间"
   },
   "unit": {
     "speed": {
@@ -85,10 +88,24 @@
     "length": {
       "feet": "英尺",
       "meters": "米"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/每小时",
+      "mbph": "MB/每小时",
+      "gbph": "GB/每小时"
     }
   },
   "label": {
-    "back": "返回"
+    "back": "返回",
+    "hide": "隐藏 {{item}}",
+    "show": "显示 {{item}}",
+    "ID": "ID",
+    "none": "无",
+    "all": "所有",
+    "other": "其他"
   },
   "pagination": {
     "label": "分页",
@@ -137,7 +154,8 @@
     "deleteNow": "立即删除",
     "next": "下一个",
     "cameraAudio": "摄像头音频",
-    "twoWayTalk": "双向对话"
+    "twoWayTalk": "双向对话",
+    "continue": "继续"
   },
   "menu": {
     "system": "系统",
@@ -237,7 +255,8 @@
       "setPassword": "设置密码",
       "title": "用户"
     },
-    "restart": "重启 Frigate"
+    "restart": "重启 Frigate",
+    "classification": "目标分类"
   },
   "toast": {
     "copyUrlToClipboard": "已复制链接到剪贴板。",
@@ -266,5 +285,17 @@
     "desc": "页面未找到"
   },
   "selectItem": "选择 {{item}}",
-  "readTheDocumentation": "阅读文档"
+  "readTheDocumentation": "阅读文档",
+  "information": {
+    "pixels": "{{area}} 像素"
+  },
+  "list": {
+    "two": "{{0}} 和 {{1}}",
+    "many": "{{items}} 以及 {{last}}",
+    "separatorWithSpace": "、 "
+  },
+  "field": {
+    "optional": "可选",
+    "internalID": "Frigate 在配置与数据库中使用的内部 ID"
+  }
 }
diff --git a/web/public/locales/zh-CN/components/auth.json b/web/public/locales/zh-CN/components/auth.json
index 015fa0ba8..dbfc34994 100644
--- a/web/public/locales/zh-CN/components/auth.json
+++ b/web/public/locales/zh-CN/components/auth.json
@@ -10,6 +10,7 @@
       "loginFailed": "登录失败",
       "unknownError": "未知错误，请检查日志。",
       "webUnknownError": "未知错误，请检查控制台日志。"
-    }
+    },
+    "firstTimeLogin": "首次尝试登录？请从 Frigate 日志中查找生成的登录密码等信息。"
   }
 }
diff --git a/web/public/locales/zh-CN/components/camera.json b/web/public/locales/zh-CN/components/camera.json
index fb1390d46..e01d5e9aa 100644
--- a/web/public/locales/zh-CN/components/camera.json
+++ b/web/public/locales/zh-CN/components/camera.json
@@ -32,7 +32,7 @@
         "title": "{{cameraName}} 视频流设置",
         "desc": "更改此摄像头组仪表板的实时视频流选项。<em>这些设置特定于设备/浏览器。</em>",
         "audioIsAvailable": "此视频流支持音频",
-        "audioIsUnavailable": "此视频流不支持音频",
+        "audioIsUnavailable": "此视频流不支持音频传输",
         "audio": {
           "tips": {
             "title": "音频必须从您的摄像头输出并在 go2rtc 中配置此流。",
@@ -66,7 +66,8 @@
         },
         "stream": "视频流",
         "placeholder": "选择视频流"
-      }
+      },
+      "birdseye": "鸟瞰图"
     }
   },
   "debug": {
@@ -80,7 +81,7 @@
     "timestamp": "时间戳",
     "zones": "区域",
     "mask": "遮罩",
-    "motion": "运动",
+    "motion": "画面变动",
     "regions": "区域"
   }
 }
diff --git a/web/public/locales/zh-CN/components/dialog.json b/web/public/locales/zh-CN/components/dialog.json
index 3cc58c541..d84e125cf 100644
--- a/web/public/locales/zh-CN/components/dialog.json
+++ b/web/public/locales/zh-CN/components/dialog.json
@@ -12,7 +12,7 @@
     "plus": {
       "submitToPlus": {
         "label": "提交至 Frigate+",
-        "desc": "您希望避开的地点中的物体不应被视为误报。若将其作为误报提交，可能会导致AI模型容易混淆相关物体的识别。"
+        "desc": "你不希望检测指定地点中的目标或物体不应被视为误报。若将其作为误报提交，可能会导致 AI 模型容易混淆相关目标或物体的识别。"
       },
       "review": {
         "true": {
@@ -59,12 +59,13 @@
     "export": "导出",
     "selectOrExport": "选择或导出",
     "toast": {
-      "success": "导出成功。进入 /exports 目录查看文件。",
+      "success": "导出成功。进入 导出 页面查看文件。",
       "error": {
         "failed": "导出失败：{{error}}",
         "endTimeMustAfterStartTime": "结束时间必须在开始时间之后",
         "noVaildTimeSelected": "未选择有效的时间范围"
-      }
+      },
+      "view": "查看"
     },
     "fromTimeline": {
       "saveExport": "保存导出",
@@ -114,7 +115,8 @@
     "button": {
       "export": "导出",
       "markAsReviewed": "标记为已核查",
-      "deleteNow": "立即删除"
+      "deleteNow": "立即删除",
+      "markAsUnreviewed": "标记为未核查"
     }
   },
   "imagePicker": {
@@ -122,6 +124,7 @@
     "search": {
       "placeholder": "通过标签或子标签搜索……"
     },
-    "noImages": "未在此摄像头找到缩略图"
+    "noImages": "未在此摄像头找到缩略图",
+    "unknownLabel": "已保存触发的图片"
   }
 }
diff --git a/web/public/locales/zh-CN/components/filter.json b/web/public/locales/zh-CN/components/filter.json
index 42a732f8e..9bf90d291 100644
--- a/web/public/locales/zh-CN/components/filter.json
+++ b/web/public/locales/zh-CN/components/filter.json
@@ -65,7 +65,7 @@
     "showReviewed": "显示已核查的项目"
   },
   "motion": {
-    "showMotionOnly": "仅显示运动"
+    "showMotionOnly": "仅显示画面变动"
   },
   "explore": {
     "settings": {
@@ -122,7 +122,9 @@
     "loading": "正在加载识别的车牌…",
     "placeholder": "输入以搜索车牌…",
     "noLicensePlatesFound": "未找到车牌。",
-    "selectPlatesFromList": "从列表中选择一个或多个车牌。"
+    "selectPlatesFromList": "从列表中选择一个或多个车牌。",
+    "selectAll": "选择所有",
+    "clearAll": "清除所有"
   },
   "classes": {
     "label": "分类",
@@ -131,5 +133,9 @@
     },
     "count_one": "{{count}} 个分类",
     "count_other": "{{count}} 个分类"
+  },
+  "attributes": {
+    "label": "分类属性",
+    "all": "所有属性"
   }
 }
diff --git a/web/public/locales/zh-CN/objects.json b/web/public/locales/zh-CN/objects.json
index 161821a9d..193f87179 100644
--- a/web/public/locales/zh-CN/objects.json
+++ b/web/public/locales/zh-CN/objects.json
@@ -71,7 +71,7 @@
   "door": "门",
   "tv": "电视",
   "laptop": "笔记本电脑",
-  "mouse": "老鼠",
+  "mouse": "鼠标",
   "remote": "遥控器",
   "keyboard": "键盘",
   "cell_phone": "手机",
diff --git a/web/public/locales/zh-CN/views/classificationModel.json b/web/public/locales/zh-CN/views/classificationModel.json
new file mode 100644
index 000000000..3e9cf67fe
--- /dev/null
+++ b/web/public/locales/zh-CN/views/classificationModel.json
@@ -0,0 +1,183 @@
+{
+  "documentTitle": "分类模型 - Frigate",
+  "button": {
+    "deleteClassificationAttempts": "删除分类图片",
+    "renameCategory": "重命名类别",
+    "deleteCategory": "删除类别",
+    "deleteImages": "删除图片",
+    "trainModel": "训练模型",
+    "addClassification": "添加分类",
+    "deleteModels": "删除模型",
+    "editModel": "编辑模型"
+  },
+  "toast": {
+    "success": {
+      "deletedCategory": "删除类别",
+      "deletedImage": "删除图片",
+      "categorizedImage": "成功分类图片",
+      "trainedModel": "训练模型成功。",
+      "trainingModel": "已开始训练模型。",
+      "deletedModel_other": "已删除 {{count}} 个模型",
+      "updatedModel": "已更新模型配置",
+      "renamedCategory": "成功修改类别名称为 {{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "删除失败：{{errorMessage}}",
+      "deleteCategoryFailed": "删除类别失败：{{errorMessage}}",
+      "categorizeFailed": "图片分类失败：{{errorMessage}}",
+      "trainingFailed": "训练模型失败，请查看 Frigate 日志获取详情。",
+      "deleteModelFailed": "删除模型失败：{{errorMessage}}",
+      "updateModelFailed": "更新模型失败：{{errorMessage}}",
+      "trainingFailedToStart": "开始训练模型失败：{{errorMessage}}",
+      "renameCategoryFailed": "修改类别名称失败：{{errorMessage}}"
+    }
+  },
+  "deleteCategory": {
+    "title": "删除类别",
+    "desc": "确定要删除类别 {{name}} 吗？此操作将永久删除所有关联的图片，并需要重新训练模型。",
+    "minClassesTitle": "无法删除此类别",
+    "minClassesDesc": "分类模型必须至少有2个类别。你需要先添加一个新的类别，然后再删除当前这个类别。"
+  },
+  "deleteDatasetImages": {
+    "title": "删除图片数据集",
+    "desc": "确定要从 {{dataset}} 中删除 {{count}} 张图片吗？此操作无法撤销，并将需要重新训练模型。"
+  },
+  "deleteTrainImages": {
+    "title": "删除训练的图片",
+    "desc": "确定要删除 {{count}} 张图片吗？此操作无法撤销。"
+  },
+  "renameCategory": {
+    "title": "重命名类别",
+    "desc": "请输入 {{name}} 的新名称。名称变更后需要重新训练模型。"
+  },
+  "description": {
+    "invalidName": "名称无效。名称只能包含字母、数字、空格、撇号、下划线和连字符。"
+  },
+  "train": {
+    "title": "最近分类记录",
+    "aria": "选择最近分类记录",
+    "titleShort": "近期"
+  },
+  "categories": "类别",
+  "createCategory": {
+    "new": "创建新类别"
+  },
+  "categorizeImageAs": "图片分类为：",
+  "categorizeImage": "图片分类",
+  "noModels": {
+    "object": {
+      "title": "未创建目标/物体分类模型",
+      "description": "创建自定义模型以分类检测到的目标。",
+      "buttonText": "创建目标/物体模型"
+    },
+    "state": {
+      "title": "尚未创建状态分类模型",
+      "description": "创建自定义模型以监控并分类摄像头特定区域的状态变化。",
+      "buttonText": "创建状态模型"
+    }
+  },
+  "wizard": {
+    "title": "创建新分类",
+    "steps": {
+      "nameAndDefine": "名称与定义",
+      "stateArea": "状态区域",
+      "chooseExamples": "选择范例"
+    },
+    "step1": {
+      "description": "状态模型用于监控摄像头固定区域的状态变化（例如门是否开启或关闭）。目标/物体模型用于为检测到的目标添加分类标签（例如区分宠物、快递员等）。",
+      "name": "名称",
+      "namePlaceholder": "请输入模型名称……",
+      "type": "类型",
+      "typeState": "状态",
+      "typeObject": "目标/物体",
+      "objectLabel": "目标/物体标签",
+      "objectLabelPlaceholder": "请选择目标类型……",
+      "classificationType": "分类方式",
+      "classificationTypeTip": "了解分类方式",
+      "classificationTypeDesc": "子标签会为目标标签添加附加文本（例如：“人员：美团”）。属性是可搜索的元数据，独立存储在目标的元信息中。",
+      "classificationSubLabel": "子标签",
+      "classificationAttribute": "属性",
+      "classes": "类别",
+      "classesTip": "了解类别",
+      "classesStateDesc": "定义摄像头区域内可能出现的不同状态。例如：车库门的“开启”和“关闭”。",
+      "classesObjectDesc": "定义用于分类检测目标的不同类别。例如：人员分类中的“快递员”、“居民”、“陌生人”。",
+      "classPlaceholder": "请输入分类名称……",
+      "errors": {
+        "nameRequired": "模型名称为必填项",
+        "nameLength": "模型名称长度不能超过 64 个字符",
+        "nameOnlyNumbers": "模型名称不能仅包含数字",
+        "classRequired": "至少需要一个类别",
+        "classesUnique": "类别名称必须唯一",
+        "stateRequiresTwoClasses": "状态模型至少需要两个类别",
+        "objectLabelRequired": "请选择一个目标标签",
+        "objectTypeRequired": "请选择一个目标标签",
+        "noneNotAllowed": "不能创建“none”（无标签）类别"
+      },
+      "states": "状态"
+    },
+    "step2": {
+      "description": "选择摄像头，并为摄像头定义要监控的区域。模型将对这些区域的状态进行分类。",
+      "cameras": "摄像头",
+      "selectCamera": "选择摄像头",
+      "noCameras": "点击 + 符号添加摄像头",
+      "selectCameraPrompt": "从列表中选择一个摄像头以定义其检测区域"
+    },
+    "step3": {
+      "selectImagesPrompt": "选择所有属于 {{className}} 的图片",
+      "selectImagesDescription": "点击图像进行选择，完成该类别后点击“继续”。",
+      "generating": {
+        "title": "正在生成样本图片",
+        "description": "Frigate 正在从录像中提取代表性图片。这可能需要一些时间……"
+      },
+      "training": {
+        "title": "正在训练模型",
+        "description": "系统正在后台训练模型。你可以关闭此对话框，训练完成后模型将自动开始运行。"
+      },
+      "retryGenerate": "重新生成",
+      "noImages": "未生成样本图像",
+      "classifying": "正在分类与训练……",
+      "trainingStarted": "已开始模型训练",
+      "errors": {
+        "noCameras": "未配置摄像头",
+        "noObjectLabel": "未选择目标标签",
+        "generateFailed": "示例生成失败：{{error}}",
+        "generationFailed": "生成失败，请重试。",
+        "classifyFailed": "图片分类失败：{{error}}"
+      },
+      "generateSuccess": "样本图片生成成功",
+      "allImagesRequired_other": "请对所有图片进行分类。还有 {{count}} 张图片需要分类。",
+      "modelCreated": "模型创建成功。请在“最近分类”页面为缺失的状态添加图片，然后训练模型。",
+      "missingStatesWarning": {
+        "title": "缺失状态示例",
+        "description": "建议为所有状态都选择示例图片以获得最佳效果。你也可以跳过当前为分类状态选择图片，但需要所有状态都有对应的图片，模型才能够进行训练。跳过后你可通过“最近分类”页面为缺失的状态分类添加图片，然后再训练模型。"
+      }
+    }
+  },
+  "deleteModel": {
+    "title": "删除分类模型",
+    "single": "你确定要删除 {{name}} 吗？此操作将永久删除所有相关数据，包括图片和训练数据，且无法撤销。",
+    "desc": "你确定要删除 {{count}} 个模型吗？此操作将永久删除所有相关数据，包括图片和训练数据，且无法撤销。"
+  },
+  "menu": {
+    "objects": "目标",
+    "states": "状态"
+  },
+  "details": {
+    "scoreInfo": "得分表示该目标所有检测结果的平均分类置信度。",
+    "none": "无分类",
+    "unknown": "未知"
+  },
+  "edit": {
+    "title": "编辑分类模型",
+    "descriptionState": "编辑此状态分类模型的类别；更改后需要重新训练模型。",
+    "descriptionObject": "编辑此目标分类模型的目标类型和分类类型。",
+    "stateClassesInfo": "注意：更改状态类别后需使用更新后的类别重新训练模型。"
+  },
+  "tooltip": {
+    "trainingInProgress": "模型正在训练中",
+    "noNewImages": "没有新的图片可用于训练。请先对数据集中的更多图片进行分类。",
+    "noChanges": "自上次训练以来，数据集未作任何更改。",
+    "modelNotReady": "模型尚未准备好进行训练"
+  },
+  "none": "无标签"
+}
diff --git a/web/public/locales/zh-CN/views/events.json b/web/public/locales/zh-CN/views/events.json
index 71d00848b..9c95ed1c4 100644
--- a/web/public/locales/zh-CN/views/events.json
+++ b/web/public/locales/zh-CN/views/events.json
@@ -2,14 +2,18 @@
   "alerts": "警报",
   "detections": "检测",
   "motion": {
-    "label": "运动",
-    "only": "仅运动画面"
+    "label": "画面变动",
+    "only": "仅变动画面"
   },
   "allCameras": "所有摄像头",
   "empty": {
     "alert": "还没有“警报”类核查项",
     "detection": "还没有“检测”类核查项",
-    "motion": "还没有运动类数据"
+    "motion": "还没有画面变动类数据",
+    "recordingsDisabled": {
+      "title": "必须要开启录制功能",
+      "description": "必须要摄像头启用录制功能时，才可为其创建回放项目。"
+    }
   },
   "timeline": "时间线",
   "timeline.aria": "选择时间线",
@@ -37,5 +41,28 @@
   "selected_other": "已选择 {{count}} 个",
   "detected": "已检测",
   "suspiciousActivity": "可疑活动",
-  "threateningActivity": "威胁性活动"
+  "threateningActivity": "风险类活动",
+  "detail": {
+    "noDataFound": "没有可供核查的详细数据",
+    "aria": "切换详细视图",
+    "trackedObject_one": "{{count}}个目标或物体",
+    "trackedObject_other": "{{count}}个目标或物体",
+    "noObjectDetailData": "没有目标详细信息。",
+    "label": "详细信息",
+    "settings": "详细视图设置",
+    "alwaysExpandActive": {
+      "title": "始终展开当前项",
+      "desc": "在可用情况下，将始终展开当前核查项的目标详细信息。"
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "追踪点",
+    "clickToSeek": "点击从该时间进行寻找"
+  },
+  "zoomIn": "放大",
+  "zoomOut": "缩小",
+  "normalActivity": "正常",
+  "needsReview": "需要核查",
+  "securityConcern": "安全隐患",
+  "select_all": "所有"
 }
diff --git a/web/public/locales/zh-CN/views/explore.json b/web/public/locales/zh-CN/views/explore.json
index a81fa96f4..8e66f2255 100644
--- a/web/public/locales/zh-CN/views/explore.json
+++ b/web/public/locales/zh-CN/views/explore.json
@@ -4,14 +4,14 @@
   "exploreIsUnavailable": {
     "title": "浏览功能不可用",
     "embeddingsReindexing": {
-      "context": "完成跟踪目标嵌入重新索引后，才可以使用 浏览 功能。",
+      "context": "完成追踪目标嵌入重新索引后，才可以使用 浏览 功能。",
       "startingUp": "启动中…",
       "estimatedTime": "预计剩余时间：",
       "finishingShortly": "即将完成",
       "step": {
         "thumbnailsEmbedded": "缩略图嵌入：",
         "descriptionsEmbedded": "描述嵌入：",
-        "trackedObjectsProcessed": "跟踪目标已处理： "
+        "trackedObjectsProcessed": "追踪目标已处理： "
       }
     },
     "downloadingModels": {
@@ -23,7 +23,7 @@
         "textTokenizer": "文本分词器"
       },
       "tips": {
-        "context": "模型下载完成后，您可能需要重新索引跟踪目标的嵌入。",
+        "context": "模型下载完成后，您可能需要重新索引追踪目标的嵌入。",
         "documentation": "阅读文档"
       },
       "error": "发生错误。请检查Frigate日志。"
@@ -34,7 +34,9 @@
     "details": "详情",
     "snapshot": "快照",
     "video": "视频",
-    "object_lifecycle": "目标全周期"
+    "object_lifecycle": "目标全周期",
+    "thumbnail": "缩略图",
+    "tracking_details": "追踪详情"
   },
   "objectLifecycle": {
     "title": "目标全周期",
@@ -95,20 +97,22 @@
       },
       "tips": {
         "mismatch_other": "检测到 {{count}} 个不可用的目标，并已包含在此核查项中。这些目标可能未达到警报或检测标准，或者已被清理/删除。",
-        "hasMissingObjects": "如果希望 Frigate 保存以下标签的跟踪目标，请调整您的配置：<em>{{objects}}</em>"
+        "hasMissingObjects": "如果希望 Frigate 保存 <em>{{objects}}</em> 标签的追踪目标，请调整您的配置"
       },
       "toast": {
         "success": {
           "regenerate": "已向 {{provider}} 请求新的描述。根据提供商的速度，生成新描述可能需要一些时间。",
           "updatedSublabel": "成功更新子标签。",
           "updatedLPR": "成功更新车牌。",
-          "audioTranscription": "成功请求音频转录。"
+          "audioTranscription": "成功请求音频转录。根据你运行 Frigate 的服务器速度，转录可能需要一些时间才能完成。",
+          "updatedAttributes": "更新属性成功。"
         },
         "error": {
           "regenerate": "调用 {{provider}} 生成新描述失败：{{errorMessage}}",
           "updatedSublabelFailed": "更新子标签失败：{{errorMessage}}",
           "updatedLPRFailed": "更新车牌失败：{{errorMessage}}",
-          "audioTranscription": "请求音频转录失败：{{errorMessage}}"
+          "audioTranscription": "请求音频转录失败：{{errorMessage}}",
+          "updatedAttributesFailed": "更新属性失败：{{errorMessage}}"
         }
       }
     },
@@ -116,7 +120,7 @@
     "editSubLabel": {
       "title": "编辑子标签",
       "desc": "为 {{label}} 输入新的子标签",
-      "descNoLabel": "为此跟踪目标输入新的子标签"
+      "descNoLabel": "为该追踪目标输入新的子标签"
     },
     "topScore": {
       "label": "最高得分",
@@ -157,6 +161,14 @@
     },
     "score": {
       "label": "分值"
+    },
+    "editAttributes": {
+      "title": "编辑属性",
+      "desc": "为 {{label}} 选择分类属性"
+    },
+    "attributes": "分类属性",
+    "title": {
+      "label": "标题"
     }
   },
   "itemMenu": {
@@ -194,12 +206,26 @@
     "audioTranscription": {
       "label": "转录",
       "aria": "请求音频转录"
+    },
+    "showObjectDetails": {
+      "label": "显示目标轨迹"
+    },
+    "hideObjectDetails": {
+      "label": "隐藏目标轨迹"
+    },
+    "viewTrackingDetails": {
+      "label": "查看追踪详情",
+      "aria": "显示追踪详情"
+    },
+    "downloadCleanSnapshot": {
+      "label": "下载干净快照",
+      "aria": "下载干净快照"
     }
   },
   "dialog": {
     "confirmDelete": {
       "title": "确认删除",
-      "desc": "删除此追踪目标后将移除快照、所有已保存的嵌入向量数据以及任何相关的目标全周期条目，但在 历史 页面中跟踪对象的录制视频片段<em>不会</em>被删除。<br /><br />你确定要继续删除该追踪目标吗？"
+      "desc": "删除此追踪目标后，将移除快照、所有已保存的嵌入向量数据以及任何相关的目标追踪详情条目，但在 历史 页面中追踪目标的录制视频片段<em>不会</em>被删除。<br /><br />你确定要继续删除该追踪目标吗？"
     }
   },
   "noTrackedObjects": "未找到追踪目标",
@@ -212,10 +238,64 @@
         "error": "删除追踪目标失败：{{errorMessage}}"
       }
     },
-    "tooltip": "与 {{type}} 匹配度为 {{confidence}}%"
+    "tooltip": "与 {{type}} 匹配度为 {{confidence}}%",
+    "previousTrackedObject": "上一个追踪目标",
+    "nextTrackedObject": "下一个追踪目标"
   },
   "exploreMore": "浏览更多的 {{label}}",
   "aiAnalysis": {
     "title": "AI分析"
+  },
+  "concerns": {
+    "label": "风险等级"
+  },
+  "trackingDetails": {
+    "title": "追踪细节",
+    "noImageFound": "在该时间内没找到图片。",
+    "createObjectMask": "创建目标遮罩",
+    "adjustAnnotationSettings": "调整注释设置",
+    "scrollViewTips": "点击以查看该目标全周期中的关键时刻。",
+    "autoTrackingTips": "自动追踪摄像头的边框定位可能不准确。",
+    "count": "{{first}} / {{second}}",
+    "trackedPoint": "追踪点",
+    "lifecycleItemDesc": {
+      "visible": "已检测到 {{label}}",
+      "entered_zone": "{{label}} 进入 {{zones}}",
+      "active": "{{label}} 正在活动",
+      "stationary": "{{label}} 变为静止",
+      "attribute": {
+        "faceOrLicense_plate": "检测到 {{label}} 的 {{attribute}} 属性",
+        "other": "{{label}} 被识别为 {{attribute}}"
+      },
+      "gone": "{{label}} 离开",
+      "heard": "听到 {{label}}",
+      "external": "已检测到 {{label}}",
+      "header": {
+        "zones": "区",
+        "ratio": "比例",
+        "area": "大小",
+        "score": "分数"
+      }
+    },
+    "annotationSettings": {
+      "title": "标记设置",
+      "showAllZones": {
+        "title": "显示所有区",
+        "desc": "在目标进入区域的帧中始终显示区域框。"
+      },
+      "offset": {
+        "label": "标记偏移量",
+        "desc": "此数据来自摄像头的检测视频流，但叠加在录制视频流的画面上。两个视频流可能不会完全同步，因此边框与画面可能无法完全对齐。可以使用此设置将标记在时间轴上向前或向后偏移，以更好地与录制画面对齐。",
+        "millisecondsToOffset": "用于偏移检测标记的毫秒数。<em> 默认值：0</em>",
+        "tips": "提示：假设有一段人从左向右走的事件录制，如果事件时间轴中的边框始终在人的左侧（即后方），则应该减小偏移值；反之，如果边框始终领先于人物，则应增大偏移值。",
+        "toast": {
+          "success": "{{camera}} 的标记偏移量已保存。"
+        }
+      }
+    },
+    "carousel": {
+      "previous": "上一张图",
+      "next": "下一张图"
+    }
   }
 }
diff --git a/web/public/locales/zh-CN/views/exports.json b/web/public/locales/zh-CN/views/exports.json
index b22d035f1..3270dc4e5 100644
--- a/web/public/locales/zh-CN/views/exports.json
+++ b/web/public/locales/zh-CN/views/exports.json
@@ -13,5 +13,11 @@
     "error": {
       "renameExportFailed": "重命名导出失败：{{errorMessage}}"
     }
+  },
+  "tooltip": {
+    "shareExport": "分享导出",
+    "downloadVideo": "下载视频",
+    "editName": "编辑名称",
+    "deleteExport": "删除导出"
   }
 }
diff --git a/web/public/locales/zh-CN/views/faceLibrary.json b/web/public/locales/zh-CN/views/faceLibrary.json
index 66eb4e204..0e05f0df7 100644
--- a/web/public/locales/zh-CN/views/faceLibrary.json
+++ b/web/public/locales/zh-CN/views/faceLibrary.json
@@ -1,7 +1,7 @@
 {
   "description": {
-    "addFace": "我们将引导你如何向人脸库中添加新的特征库。",
-    "placeholder": "请输入此特征库的名称",
+    "addFace": "我们将引导你如何向人脸库中添加新的合集。",
+    "placeholder": "请输入此合集的名称",
     "invalidName": "名称无效。名称只能包含字母、数字、空格、撇号、下划线和连字符。"
   },
   "details": {
@@ -23,18 +23,19 @@
     "title": "创建特征库",
     "desc": "创建一个新的特征库",
     "new": "新建人脸",
-    "nextSteps": "建议按以下步骤建立可靠的特征库：<li>使用<em>训练</em>选项卡为每个检测到的人员选择并训练图像</li><li>优先使用正脸图像以获得最佳效果，尽可能避免使用侧脸图像进行训练</li></ul>"
+    "nextSteps": "建议按以下步骤建立可靠的数据集：<li>使用<em>近期识别记录</em>选项卡为每个检测到的人员选择并训练图像</li><li>优先使用正脸图像以获得最佳效果，尽可能避免使用侧脸图像进行训练</li></ul>"
   },
   "train": {
-    "title": "训练",
-    "aria": "选择训练",
-    "empty": "近期未检测到人脸识别操作"
+    "title": "近期识别记录",
+    "aria": "选择近期识别记录",
+    "empty": "近期未检测到人脸识别操作",
+    "titleShort": "近期"
   },
   "selectItem": "选择 {{item}}",
   "selectFace": "选择人脸",
   "deleteFaceLibrary": {
     "title": "删除名称",
-    "desc": "确定要删除特征库 {{name}} 吗？此操作将永久删除所有关联的人脸特征数据。"
+    "desc": "确定要删除数据集 {{name}} 吗？此操作将永久删除所有关联的人脸特征数据。"
   },
   "button": {
     "deleteFaceAttempts": "删除人脸",
@@ -49,7 +50,7 @@
       "selectImage": "请选择图片文件。"
     },
     "dropActive": "拖动图片文件到这里…",
-    "dropInstructions": "拖动图片文件到此处或点击选择",
+    "dropInstructions": "拖动或粘贴图片文件到此处，也可以点击选择文件",
     "maxSize": "最大文件大小：{{size}}MB"
   },
   "readTheDocs": "阅读文档",
@@ -62,14 +63,14 @@
       "deletedFace_other": "成功删除 {{count}} 个 人脸特征。",
       "deletedName_other": "成功删除 {{count}} 个 人脸特征。",
       "trainedFace": "人脸特征训练成功。",
-      "updatedFaceScore": "更新人脸特征评分成功。",
+      "updatedFaceScore": "更新 {{name}} 人脸特征评分（{{score}}）成功。",
       "renamedFace": "成功重命名人脸为{{name}}"
     },
     "error": {
       "uploadingImageFailed": "图片上传失败：{{errorMessage}}",
       "addFaceLibraryFailed": "人脸命名失败：{{errorMessage}}",
       "deleteFaceFailed": "删除失败：{{errorMessage}}",
-      "deleteNameFailed": "特征集删除失败：{{errorMessage}}",
+      "deleteNameFailed": "数据集删除失败：{{errorMessage}}",
       "trainFailed": "训练失败：{{errorMessage}}",
       "updateFaceScoreFailed": "更新人脸评分失败：{{errorMessage}}",
       "renameFaceFailed": "重命名人脸失败：{{errorMessage}}"
@@ -87,7 +88,7 @@
     "desc": "为 {{name}} 输入新的名称",
     "title": "重命名人脸"
   },
-  "collections": "特征库",
+  "collections": "合集",
   "deleteFaceAttempts": {
     "desc_other": "你确定要删除 {{count}} 张人脸数据吗？此操作不可撤销。",
     "title": "删除人脸"
diff --git a/web/public/locales/zh-CN/views/live.json b/web/public/locales/zh-CN/views/live.json
index 372c200e0..021bafc66 100644
--- a/web/public/locales/zh-CN/views/live.json
+++ b/web/public/locales/zh-CN/views/live.json
@@ -87,7 +87,7 @@
   },
   "manualRecording": {
     "title": "按需录制",
-    "tips": "根据此摄像头的录制保留设置，手动启动事件。",
+    "tips": "根据此摄像头的录像存储设置，可以下载即时快照或手动触发事件记录。",
     "playInBackground": {
       "label": "后台播放",
       "desc": "启用此选项可在播放器隐藏时继续视频流播放。"
@@ -115,11 +115,11 @@
     "title": "视频流",
     "audio": {
       "tips": {
-        "title": "音频必须从摄像头输出并在 go2rtc 中配置为此视频流使用。",
+        "title": "必须要摄像头能够播放音频，以及需要 go2rtc 支持并配置。",
         "documentation": "阅读文档 "
       },
       "available": "此视频流支持音频",
-      "unavailable": "此视频流不支持音频"
+      "unavailable": "此视频流不支持音频传输"
     },
     "twoWayTalk": {
       "tips": "您的设备必须支持此功能，并且必须配置 WebRTC 以支持双向对讲。",
@@ -134,16 +134,19 @@
     "playInBackground": {
       "label": "后台播放",
       "tips": "启用此选项可在播放器隐藏时继续视频流播放。"
+    },
+    "debug": {
+      "picker": "调试模式下无法切换视频流。调试将始终使用检测（detect）功能的视频流。"
     }
   },
   "cameraSettings": {
     "title": "{{camera}} 设置",
     "cameraEnabled": "摄像头已启用",
-    "objectDetection": "对象检测",
+    "objectDetection": "目标检测",
     "recording": "录制",
     "snapshots": "快照",
     "audioDetection": "音频检测",
-    "autotracking": "自动跟踪",
+    "autotracking": "自动追踪",
     "transcription": "音频转录"
   },
   "history": {
@@ -152,8 +155,8 @@
   "effectiveRetainMode": {
     "modes": {
       "all": "全部",
-      "motion": "运动",
-      "active_objects": "活动对象"
+      "motion": "画面变动",
+      "active_objects": "活动目标"
     },
     "notAllTips": "您的 {{source}} 录制保留配置设置为 <code>mode: {{effectiveRetainMode}}</code>，因此此按需录制将仅保留包含 {{effectiveRetainModeName}} 的片段。"
   },
@@ -167,5 +170,20 @@
   "transcription": {
     "enable": "启用实时音频转录",
     "disable": "关闭实时音频转录"
+  },
+  "noCameras": {
+    "title": "未设置摄像头",
+    "description": "准备开始连接摄像头至 Frigate 。",
+    "buttonText": "添加摄像头",
+    "restricted": {
+      "title": "无可用摄像头",
+      "description": "你没有权限查看此分组中的任何摄像头。"
+    }
+  },
+  "snapshot": {
+    "takeSnapshot": "下载即时快照",
+    "noVideoSource": "当前无可用于快照的视频源。",
+    "captureFailed": "捕获快照失败。",
+    "downloadStarted": "快照下载已开始。"
   }
 }
diff --git a/web/public/locales/zh-CN/views/search.json b/web/public/locales/zh-CN/views/search.json
index 8a25c11f5..51fe47c8e 100644
--- a/web/public/locales/zh-CN/views/search.json
+++ b/web/public/locales/zh-CN/views/search.json
@@ -26,7 +26,8 @@
       "max_speed": "最高速度",
       "recognized_license_plate": "识别的车牌",
       "has_clip": "包含片段",
-      "has_snapshot": "包含快照"
+      "has_snapshot": "包含快照",
+      "attributes": "属性"
     },
     "searchType": {
       "thumbnail": "缩略图",
diff --git a/web/public/locales/zh-CN/views/settings.json b/web/public/locales/zh-CN/views/settings.json
index 6cf6baad9..a9a2ee567 100644
--- a/web/public/locales/zh-CN/views/settings.json
+++ b/web/public/locales/zh-CN/views/settings.json
@@ -5,25 +5,30 @@
     "camera": "摄像头设置 - Frigate",
     "classification": "分类设置 - Frigate",
     "masksAndZones": "遮罩和区域编辑器 - Frigate",
-    "motionTuner": "运动调整器 - Frigate",
+    "motionTuner": "画面变动调整 - Frigate",
     "object": "调试 - Frigate",
-    "general": "常规设置 - Frigate",
+    "general": "页面设置 - Frigate",
     "frigatePlus": "Frigate+ 设置 - Frigate",
     "notifications": "通知设置 - Frigate",
-    "enrichments": "增强功能设置 - Frigate"
+    "enrichments": "增强功能设置 - Frigate",
+    "cameraManagement": "管理摄像头 - Frigate",
+    "cameraReview": "摄像头核查设置 - Frigate"
   },
   "menu": {
     "ui": "界面设置",
     "classification": "分类设置",
     "cameras": "摄像头设置",
     "masksAndZones": "遮罩/ 区域",
-    "motionTuner": "运动调整器",
+    "motionTuner": "画面变动调整",
     "debug": "调试",
     "users": "用户",
     "notifications": "通知",
     "frigateplus": "Frigate+",
     "enrichments": "增强功能",
-    "triggers": "触发器"
+    "triggers": "触发器",
+    "roles": "权限组",
+    "cameraManagement": "管理",
+    "cameraReview": "核查"
   },
   "dialog": {
     "unsavedChanges": {
@@ -36,7 +41,7 @@
     "noCamera": "没有摄像头"
   },
   "general": {
-    "title": "常规设置",
+    "title": "页面设置",
     "liveDashboard": {
       "title": "实时监控面板",
       "automaticLiveView": {
@@ -46,6 +51,14 @@
       "playAlertVideos": {
         "label": "播放警报视频",
         "desc": "默认情况下，实时监控页面上的最新警报会以一小段循环视频的形式进行播放。禁用此选项将仅显示浏览器本地缓存的静态图片。"
+      },
+      "displayCameraNames": {
+        "label": "始终显示摄像头名称",
+        "desc": "在有多摄像头情况下的实时监控页面，将始终显示摄像头名称标签。"
+      },
+      "liveFallbackTimeout": {
+        "label": "实时监控播放器回退超时",
+        "desc": "当摄像头的高清实时监控流不可用时，将在此时间后回退到低带宽模式。默认值：3秒。"
       }
     },
     "storedLayouts": {
@@ -238,7 +251,8 @@
           "mustNotBeSameWithCamera": "区域名称不能与摄像头名称相同。",
           "alreadyExists": "该摄像头已有相同的区域名称。",
           "mustNotContainPeriod": "区域名称不能包含句点。",
-          "hasIllegalCharacter": "区域名称包含非法字符。"
+          "hasIllegalCharacter": "区域名称包含非法字符。",
+          "mustHaveAtLeastOneLetter": "区域名称必须至少包含一个字母。"
         }
       },
       "distance": {
@@ -295,7 +309,7 @@
       "name": {
         "title": "区域名称",
         "inputPlaceHolder": "请输入名称…",
-        "tips": "名称至少包含两个字符，且不能和摄像头或其他区域同名。<br>当前仅支持英文与数字组合。"
+        "tips": "名称至少包含两个字符，且不能和摄像头名或该摄像头下的其他区域同名。"
       },
       "inertia": {
         "title": "惯性",
@@ -330,33 +344,33 @@
         }
       },
       "toast": {
-        "success": "区域 ({{zoneName}}) 已保存。请重启 Frigate 以应用更改。"
+        "success": "区域 ({{zoneName}}) 已保存。"
       }
     },
     "motionMasks": {
-      "label": "运动遮罩",
-      "documentTitle": "编辑运动遮罩 - Frigate",
+      "label": "画面变动遮罩",
+      "documentTitle": "编辑画面变动遮罩 - Frigate",
       "desc": {
         "title": "画面变动遮罩用于防止触发不必要的画面变动检测。过度的设置遮罩将使目标更加难以被追踪。",
         "documentation": "文档"
       },
-      "add": "添加运动遮罩",
-      "edit": "编辑运动遮罩",
+      "add": "添加画面变动遮罩",
+      "edit": "编辑画面变动遮罩",
       "context": {
-        "title": "运动遮罩用于防止不需要的运动类型触发检测（例如：树枝、摄像头画面显示的时间等）。运动遮罩需要<strong>谨慎使用</strong>，过度的遮罩会导致追踪对象变得更加困难。",
+        "title": "画面变动遮罩用于防止不需要的画面变动触发检测（例如：容易被风吹动的树枝、摄像头画面上显示的时间等）。画面变动遮罩应<strong>谨慎使用</strong>，过度的遮罩会导致追踪目标变得更加困难。",
         "documentation": "阅读文档"
       },
       "point_other": "{{count}} 点",
       "clickDrawPolygon": "在图像上点击添加点绘制多边形区域。",
       "polygonAreaTooLarge": {
-        "title": "运动遮罩的大小达到了摄像头画面的{{polygonArea}}%。不建议设置太大的运动遮罩。",
+        "title": "画面变动遮罩的大小达到了摄像头画面的{{polygonArea}}%。不建议设置太大的画面变动遮罩。",
         "tips": "画面变动遮罩并不会使该区域无法检测到指定目标/物体，如有需要，你应该使用 区域 来限制检测的目标/物体类型。",
         "documentation": "阅读文档"
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} 已保存。请重启 Frigate 以应用更改。",
-          "noName": "运动遮罩已保存。请重启 Frigate 以应用更改。"
+          "title": "{{polygonName}} 已保存。",
+          "noName": "画面变动遮罩已保存。"
         }
       }
     },
@@ -379,37 +393,37 @@
       },
       "toast": {
         "success": {
-          "title": "{{polygonName}} 已保存。请重启 Frigate 以应用更改。",
-          "noName": "目标遮罩已保存。请重启 Frigate 以应用更改。"
+          "title": "{{polygonName}} 已保存。",
+          "noName": "目标遮罩已保存。"
         }
       }
     },
     "restart_required": "需要重启（遮罩与区域已修改）",
-    "motionMaskLabel": "运动遮罩 {{number}}",
+    "motionMaskLabel": "画面变动遮罩 {{number}}",
     "objectMaskLabel": "目标/物体遮罩 {{number}}（{{label}}）"
   },
   "motionDetectionTuner": {
-    "title": "运动检测调整器",
+    "title": "画面变动检测调整",
     "desc": {
-      "title": "Frigate 将使用画面变化检测作为首个步骤，以确认一帧画面中是否有目标或物体需要使用目标检测。",
-      "documentation": "阅读有关运动检测的文档"
+      "title": "Frigate 将首先使用画面变动检测来确认每一帧画面中是否有变动的区域，然后再对该区域使用目标检测。",
+      "documentation": "阅读有关画面变动检测的文档"
     },
     "Threshold": {
       "title": "阈值",
-      "desc": "阈值决定像素亮度高于多少时会被认为是运动。<em>默认值：30</em>"
+      "desc": "阈值决定像素亮度变化达到多少时会被认为是画面变动。<em>默认值：30</em>"
     },
     "contourArea": {
       "title": "轮廓面积",
-      "desc": "轮廓面积决定哪些变化的像素组符合运动条件。<em>默认值：10</em>"
+      "desc": "轮廓面积值用于判断产生了多大的变化区域可被认定为画面变动。<em>默认值：10</em>"
     },
     "improveContrast": {
       "title": "提高对比度",
       "desc": "提高较暗场景的对比度。<em>默认值：启用</em>"
     },
     "toast": {
-      "success": "运动设置已保存。"
+      "success": "画面变动设置已保存。"
     },
-    "unsavedChanges": "{{camera}} 的运动调整器设置未保存"
+    "unsavedChanges": "{{camera}} 的画面变动调整设置未保存"
   },
   "debug": {
     "title": "调试",
@@ -423,7 +437,7 @@
       "desc": "将在被追踪的目标周围显示边界框",
       "colors": {
         "label": "目标边界框颜色定义",
-        "info": "<li>启用后，将会为每个目标的标签分配不同的颜色</li><li>深蓝色细线代表该目标或物体在当前时间点未被检测到</li><li>灰色细线代表检测到的目标或物体静止不动</li><li>粗线表示该目标或物体为自动跟踪的主体（在启动时）</li>"
+        "info": "<li>启用后，将会为每个目标的标签分配不同的颜色</li><li>深蓝色细线代表该目标或物体在当前时间点未被检测到</li><li>灰色细线代表检测到的目标或物体静止不动</li><li>粗线表示在启动自动追踪时，该目标为自动追踪的主体</li>"
       }
     },
     "timestamp": {
@@ -435,32 +449,32 @@
       "desc": "显示已定义的区域图层"
     },
     "mask": {
-      "title": "运动遮罩",
-      "desc": "显示运动遮罩图层"
+      "title": "画面变动遮罩",
+      "desc": "显示画面变动遮罩图层"
     },
     "motion": {
-      "title": "运动区域框",
-      "desc": "在检测到运动的区域显示区域框",
-      "tips": "<p><strong>运动区域框</strong></p><br><p>将在当前检测到运动的区域内显示红色区域框。</p>"
+      "title": "画面变动区域框",
+      "desc": "在检测到画面变动的区域显示区域框",
+      "tips": "<p><strong>画面变动区域框</strong></p><br><p>将在当前检测到画面变动的区域内显示红色区域框。</p>"
     },
     "regions": {
       "title": "范围",
-      "desc": "显示发送到运动检测器感兴趣范围的框",
+      "desc": "显示发送给目标检测器感兴趣的区域框",
       "tips": "<p><strong>范围框</strong></p><br><p>将在帧中发送到目标检测器的感兴趣范围上叠加绿色框。</p>"
     },
     "objectShapeFilterDrawing": {
-      "title": "允许绘制“对象形状过滤器”",
+      "title": "允许绘制“目标形状过滤器”",
       "desc": "在图像上绘制矩形，以查看区域和比例详细信息",
-      "tips": "启用此选项，能够在摄像头图像上绘制矩形，将显示其区域和比例。然后，您可以使用这些值在配置中设置对象形状过滤器参数。",
+      "tips": "启用此选项，能够在摄像头画面上绘制矩形，将显示其区域和比例。你可以通过使用这些值在配置中设置目标形状过滤器的参数。",
       "document": "阅读文档 ",
       "score": "分数",
       "ratio": "比例",
       "area": "区域"
     },
     "paths": {
-      "title": "运动轨迹",
-      "desc": "显示被追踪目标的运动轨迹关键点",
-      "tips": "<p><strong>运动轨迹</strong></p><p>将使用线条和圆圈标示被追踪目标在其活动周期内移动的关键位置点。</p>"
+      "title": "行动轨迹",
+      "desc": "显示被追踪目标的行动轨迹关键点",
+      "tips": "<p><strong>行动轨迹</strong></p><p>将使用<strong>线条</strong>和<strong>点</strong>来标示被追踪目标在其活动周期内移动的关键位置点。</p>"
     },
     "audio": {
       "title": "音频",
@@ -499,7 +513,7 @@
       "role": "权限组",
       "noUsers": "未找到用户。",
       "changeRole": "更改用户角色",
-      "password": "密码",
+      "password": "修改密码",
       "deleteUser": "删除用户"
     },
     "dialog": {
@@ -524,7 +538,16 @@
             "veryStrong": "非常强"
           },
           "match": "密码匹配",
-          "notMatch": "密码不匹配"
+          "notMatch": "密码不匹配",
+          "show": "显示密码",
+          "hide": "隐藏密码",
+          "requirements": {
+            "title": "密码要求：",
+            "length": "至少8个字符",
+            "uppercase": "至少一个大写字母",
+            "digit": "至少一位数字",
+            "special": "至少一个特殊符号 (!@#$%^&*(),.?\":{}|<>)"
+          }
         },
         "newPassword": {
           "title": "新密码",
@@ -534,7 +557,11 @@
           }
         },
         "usernameIsRequired": "用户名为必填项",
-        "passwordIsRequired": "必须输入密码"
+        "passwordIsRequired": "必须输入密码",
+        "currentPassword": {
+          "title": "当前密码",
+          "placeholder": "请输入当前密码"
+        }
       },
       "createUser": {
         "title": "创建新用户",
@@ -552,7 +579,12 @@
         "setPassword": "设置密码",
         "desc": "创建一个强密码来保护此账户。",
         "doNotMatch": "两次输入密码不匹配",
-        "cannotBeEmpty": "密码不能为空"
+        "cannotBeEmpty": "密码不能为空",
+        "currentPasswordRequired": "当前密码为必填",
+        "incorrectCurrentPassword": "当前密码错误",
+        "passwordVerificationFailed": "验证密码失败",
+        "multiDeviceWarning": "其他已登录的设备将需要在 {{refresh_time}} 内重新登录。",
+        "multiDeviceAdmin": "你也可以通过轮换你的 JWT 密钥，强制所有用户立即重新登录验证。"
       },
       "changeRole": {
         "title": "更改用户权限组",
@@ -672,12 +704,12 @@
   "enrichments": {
     "title": "增强功能设置",
     "birdClassification": {
-      "desc": "鸟类分类通过量化的TensorFlow模型识别已知鸟类。当识别到已知鸟类时，其通用名称将作为子标签（sub_label）添加。此信息包含在用户界面、筛选器以及通知中。",
+      "desc": "鸟类分类通过量化的 TensorFlow 模型识别已知鸟类。当识别到已知鸟类时，其通用名称将作为子标签（sub_label）添加。此信息包含在用户界面、筛选器以及通知中。",
       "title": "鸟类分类"
     },
     "semanticSearch": {
       "reindexNow": {
-        "desc": "重建索引将为所有追踪目标重新生成特征向量信息。该过程将在后台进行，可能会使CPU满载，所需时间取决于追踪目标的数量。",
+        "desc": "重建索引将为所有追踪的目标重新生成特征向量信息。该过程将在后台进行，期间可能会使 CPU 满载，所需时间取决于追踪目标的数量。",
         "label": "立即重建索引",
         "confirmTitle": "确认重建索引",
         "confirmDesc": "确定要为所有追踪目标重建特征向量索引信息吗？此过程将在后台进行，但可能会导致CPU满载并耗费较长时间。您可以在 浏览 页面查看进度。",
@@ -691,19 +723,19 @@
         "desc": "用于语义搜索的语言模型大小。",
         "small": {
           "title": "小",
-          "desc": "将使用 <strong>小</strong>模型。该模型将使用少量的内存，在CPU上也能较快的运行，质量较好。"
+          "desc": "将使用 <strong>小</strong>模型。该模型使用的内存较少，在 CPU 上也能较快的运行，质量较好。"
         },
         "large": {
           "title": "大",
-          "desc": "将使用 <strong>大</strong>模型。该选项使用了完整的Jina模型，在合适的时候将自动使用GPU。"
+          "desc": "将使用 <strong>大</strong>模型。该选项使用了完整的 Jina 模型，条件允许的情况下将自动使用 GPU 运行。"
         }
       },
       "title": "分类搜索",
-      "desc": "Frigate中的语义搜索功能允许您通过图片、用户自定义的文本描述，或自动生成的文本描述等方式在核查项目中查找目标/物体。",
+      "desc": "Frigate 中的语义搜索功能将能够让你通过图片、用户自定义的文本描述，或自动生成的文本描述等方式在核查项目中查找目标/物体。",
       "readTheDocumentation": "阅读文档"
     },
     "licensePlateRecognition": {
-      "desc": "Frigate 可以识别车辆的车牌，并自动将检测到的字符添加到 recognized_license_plate 字段中，或将已知车牌对应的名称作为子标签添加到该车辆目标中。一般常用于读取驶入车道的车辆车牌或经过街道的车辆车牌。",
+      "desc": "Frigate 可以识别车辆的车牌，并自动将检测到的字符添加到 识别的车牌（recognized_license_plate）字段中，或将已知车牌对应的名称作为子标签添加到该车辆目标中。该功能常用于识别驶入车道的车辆车牌或经过街道的车辆车牌。",
       "title": "车牌识别",
       "readTheDocumentation": "阅读文档"
     },
@@ -716,11 +748,11 @@
         "desc": "用于人脸识别的模型大小。",
         "small": {
           "title": "小",
-          "desc": "将使用<strong>小</strong>模型。该选项采用FaceNet人脸特征提取模型，可在大多数CPU上高效运行。"
+          "desc": "将使用<strong>小</strong>模型。该选项采用 FaceNet 人脸特征提取模型，可在大多数 CPU 上高效运行。"
         },
         "large": {
           "title": "大",
-          "desc": "将使用<strong>大</strong>模型。该选项使用ArcFace人脸特征提取模型，在需要的时候自动使用GPU运行。"
+          "desc": "将使用<strong>大</strong>模型。该选项使用 ArcFace 人脸特征提取模型，条件允许的情况下将自动使用 GPU 运行。"
         }
       }
     },
@@ -734,8 +766,8 @@
   "triggers": {
     "documentTitle": "触发器",
     "management": {
-      "title": "触发器管理",
-      "desc": "管理 {{camera}} 的触发器。您可以使用“缩略图”类型，基于与所选追踪对象相似的缩略图来触发；也可以使用“描述”类型，基于与您指定的文本相似的描述来触发。"
+      "title": "触发器",
+      "desc": "管理 {{camera}} 的触发器。你可以选择“缩略图”类型，将通过与追踪目标相似的缩略图来触发；也可以通过“描述”类型，与你描述的文本相似来触发（中文描述需要使用 jina v2模型，对配置要求更高）。"
     },
     "addTrigger": "添加触发器",
     "table": {
@@ -755,7 +787,9 @@
     },
     "actions": {
       "alert": "标记为警报",
-      "notification": "发送通知"
+      "notification": "发送通知",
+      "sub_label": "添加子标签",
+      "attribute": "添加属性"
     },
     "dialog": {
       "createTrigger": {
@@ -773,26 +807,29 @@
       "form": {
         "name": {
           "title": "名称",
-          "placeholder": "输入触发器名称",
+          "placeholder": "触发器名称",
           "error": {
-            "minLength": "名称至少要两个字符。",
-            "invalidCharacters": "名称只能包含字母、数字、下划线和连字符。",
+            "minLength": "该字段至少需要两个字符。",
+            "invalidCharacters": "该字段只能包含字母、数字、下划线和连字符。",
             "alreadyExists": "此摄像头已存在同名触发器。"
-          }
+          },
+          "description": "请输入用于识别此触发器的唯一名称或描述"
         },
         "enabled": {
           "description": "开启/关闭此触发器"
         },
         "type": {
           "title": "类型",
-          "placeholder": "选择触发类型"
+          "placeholder": "选择触发类型",
+          "description": "当检测到相似的追踪目标描述时触发",
+          "thumbnail": "当检测到相似的追踪目标缩略图时触发"
         },
         "content": {
           "title": "内容",
           "imagePlaceholder": "选择图片",
           "textPlaceholder": "输入文字内容",
-          "imageDesc": "选择一张图片，当检测到相似图片时触发此操作。",
-          "textDesc": "输入文本，当检测到相似的追踪对象描述时触发此操作。",
+          "imageDesc": "仅显示最近的 100 张缩略图。如果找不到需要的图片，请前往“浏览”页面查看更早的目标，并从菜单中设置触发器。",
+          "textDesc": "输入文本，当检测到相似的追踪目标描述时触发此操作。",
           "error": {
             "required": "内容为必填项。"
           }
@@ -802,14 +839,20 @@
           "error": {
             "min": "阈值必须大于 0",
             "max": "阈值必须小于 1"
-          }
+          },
+          "desc": "设置此触发器的相似度阈值。阈值越高，触发所需的匹配就越精确。"
         },
         "actions": {
           "title": "动作",
-          "desc": "默认情况下，Frigate 会为所有触发器发送 MQTT 消息。请选择此触发器触发时需要执行的附加操作。",
+          "desc": "默认情况下，Frigate 会为所有触发器发送 MQTT 消息。子标签会将触发器名称添加到目标标签中。属性是可搜索的元数据，独立存储在追踪目标的元数据中。",
           "error": {
             "min": "必须至少选择一项动作。"
           }
+        },
+        "friendly_name": {
+          "title": "友好名称",
+          "placeholder": "为此触发器命名或添加描述",
+          "description": "（可选）为触发器添加友好名称或描述。"
         }
       }
     },
@@ -824,6 +867,27 @@
         "updateTriggerFailed": "更新触发器失败：{{errorMessage}}",
         "deleteTriggerFailed": "删除触发器失败：{{errorMessage}}"
       }
+    },
+    "semanticSearch": {
+      "title": "语义搜索已关闭",
+      "desc": "必须启用语义搜索功能才能使用触发器。"
+    },
+    "wizard": {
+      "title": "创建触发器",
+      "step1": {
+        "description": "配置触发器的基础设置。"
+      },
+      "step2": {
+        "description": "设置触发此操作的内容。"
+      },
+      "step3": {
+        "description": "配置此触发器的相似度阈值与执行动作。"
+      },
+      "steps": {
+        "nameAndType": "名称与类型",
+        "configureData": "配置数据",
+        "thresholdAndActions": "阈值与动作"
+      }
     }
   },
   "roles": {
@@ -845,7 +909,7 @@
         "createRole": "权限组 {{role}} 创建成功",
         "updateCameras": "已更新摄像头至 {{role}} 权限组",
         "deleteRole": "已删除 {{role}} 权限组",
-        "userRolesUpdated": "已将分配到此权限组的 {{count}} 位用户更新为 “成员”，该权限组可访问所有摄像头。"
+        "userRolesUpdated_other": "已将分配到此权限组的 {{count}} 位用户更新为 “成员”，该权限组可访问所有摄像头。"
       },
       "error": {
         "createRoleFailed": "创建权限组失败：{{errorMessage}}",
@@ -879,9 +943,364 @@
           "roleExists": "该权限组名称已存在。"
         },
         "cameras": {
-          "title": "摄像头"
+          "title": "摄像头",
+          "desc": "请选择该权限组能够访问的摄像头。至少需要选择一个摄像头。",
+          "required": "至少要选择一个摄像头。"
         }
       }
     }
+  },
+  "cameraWizard": {
+    "title": "添加摄像头",
+    "description": "请按照以下步骤添加摄像头至 Frigate 中。",
+    "steps": {
+      "nameAndConnection": "名称与连接",
+      "streamConfiguration": "视频流配置",
+      "validationAndTesting": "验证与测试",
+      "probeOrSnapshot": "探测或快照"
+    },
+    "save": {
+      "success": "已保存新摄像头 {{cameraName}}。",
+      "failure": "保存摄像头 {{cameraName}} 遇到了错误。"
+    },
+    "testResultLabels": {
+      "resolution": "分辨率",
+      "video": "视频",
+      "audio": "音频",
+      "fps": "帧率"
+    },
+    "commonErrors": {
+      "noUrl": "请提供正确的视频流地址",
+      "testFailed": "视频流测试失败：{{error}}"
+    },
+    "step1": {
+      "description": "请输入你的摄像头信息，并选择是自动探测摄像头信息还是手动指定品牌。",
+      "cameraName": "摄像头名称",
+      "cameraNamePlaceholder": "例如：大门，后院等",
+      "host": "主机/IP地址",
+      "port": "端口号",
+      "username": "用户名",
+      "usernamePlaceholder": "可选",
+      "password": "密码",
+      "passwordPlaceholder": "可选",
+      "selectTransport": "选择传输协议",
+      "cameraBrand": "摄像头品牌",
+      "selectBrand": "选择摄像头品牌用于生成URL地址模板",
+      "customUrl": "自定义视频流地址",
+      "brandInformation": "品牌信息",
+      "brandUrlFormat": "对于采用RTSP URL格式的摄像头，其格式为：{{exampleUrl}}",
+      "customUrlPlaceholder": "rtsp://用户名:密码@主机或IP地址:端口/路径",
+      "testConnection": "测试连接",
+      "testSuccess": "连接测试通过！",
+      "testFailed": "连接测试失败。请检查输入是否正确并重试。",
+      "streamDetails": "视频流信息",
+      "warnings": {
+        "noSnapshot": "无法从配置的视频流中获取快照。"
+      },
+      "errors": {
+        "brandOrCustomUrlRequired": "请选择摄像头品牌并配置主机/IP地址，或选择“其他”后手动配置视频流地址",
+        "nameRequired": "摄像头名称为必填项",
+        "nameLength": "摄像头名称要少于64个字符",
+        "invalidCharacters": "摄像头名称内有不允许使用的字符",
+        "nameExists": "该摄像头名称已存在",
+        "brands": {
+          "reolink-rtsp": "不建议使用萤石 RTSP 协议。建议在摄像头设置中启用 HTTP 协议，并重新运行摄像头添加向导。"
+        },
+        "customUrlRtspRequired": "自定义URL必须以“rtsp://”开头；对于非 RTSP 协议的摄像头流，需手动添加至配置文件。"
+      },
+      "docs": {
+        "reolink": "https://docs.frigate-cn.video/configuration/camera_specific.html#reolink-cameras"
+      },
+      "testing": {
+        "probingMetadata": "正在获取摄像头基本数据……",
+        "fetchingSnapshot": "正在获取摄像头快照……"
+      },
+      "connectionSettings": "连接设置",
+      "detectionMethod": "视频流检测方法",
+      "onvifPort": "ONVIF 端口",
+      "probeMode": "探测摄像头",
+      "manualMode": "手动选择",
+      "detectionMethodDescription": "如果摄像头支持 ONVIF 协议，将使用该协议探测摄像头，以自动获取摄像头视频流地址；若不支持，也可手动选择摄像头品牌来使用预设地址。如需输入自定义RTSP地址，请选择“手动选择”并选择“其他”选项。",
+      "onvifPortDescription": "对于支持ONVIF协议的摄像头，该端口通常为80或8080。",
+      "useDigestAuth": "使用摘要认证",
+      "useDigestAuthDescription": "为ONVIF协议启用HTTP摘要认证。部分摄像头可能需要专用的 ONVIF 用户名/密码，而非默认的admin账户。"
+    },
+    "step2": {
+      "description": "将根据你选择的检测方式，将会自动查找摄像头可用流配置，或进行手动配置。",
+      "streamsTitle": "摄像头视频流",
+      "addStream": "添加视频流",
+      "addAnotherStream": "添加另一个视频流",
+      "streamTitle": "{{number}} 号视频流",
+      "streamUrl": "视频流地址",
+      "streamUrlPlaceholder": "rtsp://用户名:密码@主机或IP:端口/路径",
+      "url": "URL地址",
+      "resolution": "分辨率",
+      "selectResolution": "选择分辨率",
+      "quality": "质量",
+      "selectQuality": "选择质量",
+      "roles": "功能",
+      "roleLabels": {
+        "detect": "目标/物体检测",
+        "record": "录制",
+        "audio": "音频"
+      },
+      "testStream": "测试连接",
+      "testSuccess": "连接测试通过！",
+      "testFailed": "连接测试失败，请检查输入项后重试。",
+      "testFailedTitle": "测试失败",
+      "connected": "已连接",
+      "notConnected": "未连接",
+      "featuresTitle": "特殊功能",
+      "go2rtc": "减少摄像头连接数",
+      "detectRoleWarning": "至少需要一个视频流分配\"detect\"功能才能继续。",
+      "rolesPopover": {
+        "title": "视频流功能",
+        "detect": "目标/物体的主数据流。",
+        "record": "根据配置设置保存视频流的片段。",
+        "audio": "用于音频的检测的输入流。"
+      },
+      "featuresPopover": {
+        "title": "视频流特殊功能",
+        "description": "将使用go2rtc的转流功能来减少摄像头连接数。"
+      },
+      "streamDetails": "视频流详情",
+      "probing": "正在检测摄像头中……",
+      "retry": "重试",
+      "testing": {
+        "probingMetadata": "正在查询摄像头参数……",
+        "fetchingSnapshot": "正在获取摄像头快照……"
+      },
+      "probeFailed": "检测摄像头失败：{{error}}",
+      "probingDevice": "寻找设备中……",
+      "probeSuccessful": "检测成功",
+      "probeError": "检测遇到错误",
+      "probeNoSuccess": "检测未成功",
+      "deviceInfo": "设备信息",
+      "manufacturer": "制造商",
+      "model": "型号",
+      "firmware": "固件",
+      "profiles": "配置文件",
+      "ptzSupport": "支持 PTZ",
+      "autotrackingSupport": "支持自动追踪",
+      "presets": "预设配置",
+      "rtspCandidates": "RTSP候选地址",
+      "rtspCandidatesDescription": "通过摄像头自动检测发现了以下RTSP地址。测试连接以查看视频流参数。",
+      "noRtspCandidates": "未从摄像头检测到任何 RTSP 地址。可能是你的账号密码错误，或者摄像头不支持 ONVIF 协议，亦或是当前采用的 RTSP 地址获取方式无效。请返回上一步，尝试手动输入RTSP地址。",
+      "candidateStreamTitle": "候选{{number}}",
+      "useCandidate": "使用",
+      "uriCopy": "复制",
+      "uriCopied": "地址已复制到剪贴板",
+      "testConnection": "测试连接",
+      "toggleUriView": "点击切换完整 URI 显示",
+      "errors": {
+        "hostRequired": "主机/IP地址为必填"
+      }
+    },
+    "step3": {
+      "description": "为你的摄像头配置视频流功能并添加额外视频流。",
+      "validationTitle": "视频流验证",
+      "connectAllStreams": "连接所有视频流",
+      "reconnectionSuccess": "重连成功。",
+      "reconnectionPartial": "有些视频流重连失败了。",
+      "streamUnavailable": "视频流预览不可用",
+      "reload": "重新加载",
+      "connecting": "连接中……",
+      "streamTitle": "{{number}} 号视频流",
+      "valid": "通过",
+      "failed": "失败",
+      "notTested": "未测试",
+      "connectStream": "连接",
+      "connectingStream": "连接中",
+      "disconnectStream": "断开连接",
+      "estimatedBandwidth": "预计带宽",
+      "roles": "功能",
+      "none": "无",
+      "error": "错误",
+      "streamValidated": "{{number}} 号视频流验证通过",
+      "streamValidationFailed": "{{number}} 号视频流验证失败",
+      "saveAndApply": "保存新摄像头",
+      "saveError": "配置无效，请检查你的设置。",
+      "issues": {
+        "title": "视频流验证",
+        "videoCodecGood": "视频编码为 {{codec}}。",
+        "audioCodecGood": "音频编码为 {{codec}}。",
+        "noAudioWarning": "未检测到此视频流包含音频，录制将不会有声音。",
+        "audioCodecRecordError": "录制音频需要支持AAC音频编码器。",
+        "audioCodecRequired": "需要带音频的流才能开启声音检测。",
+        "restreamingWarning": "为录制流开启减少与摄像头的连接数可能会导致 CPU 使用率略有提升。",
+        "dahua": {
+          "substreamWarning": "子码流1被锁定为低分辨率。多数大华的摄像头支持额外的子码流，但需要在摄像头设置中手动开启。如果可以，建议检查并使用这些子码流。"
+        },
+        "hikvision": {
+          "substreamWarning": "子码流1被锁定为低分辨率。多数海康威视的摄像头支持额外的子码流，但需要在摄像头设置中手动开启。如果可以，建议检查并使用这些子码流。"
+        },
+        "resolutionHigh": "使用 {{resolution}} 分辨率可能会导致占用更多的系统资源。",
+        "resolutionLow": "使用 {{resolution}} 分辨率可能过低，难以检测较小的物体。"
+      },
+      "ffmpegModule": "使用视频流兼容模式",
+      "ffmpegModuleDescription": "如果多次尝试后视频流仍无法加载，可以尝试启用此功能。启用后，Frigate 将使用集成 go2rtc 的 ffmpeg 模块，这可能会提高与某些摄像头视频流的兼容性。",
+      "streamsTitle": "摄像头视频流",
+      "addStream": "添加视频流",
+      "addAnotherStream": "添加其他视频流",
+      "streamUrl": "视频流地址",
+      "streamUrlPlaceholder": "rtsp://用户名:密码@主机:端口/路径",
+      "selectStream": "选择一个视频流",
+      "searchCandidates": "搜索候选项……",
+      "noStreamFound": "没有找到视频流",
+      "url": "URL地址",
+      "resolution": "分辨率",
+      "selectResolution": "选择分辨率",
+      "quality": "质量",
+      "selectQuality": "选择质量",
+      "roleLabels": {
+        "detect": "目标检测",
+        "record": "录制",
+        "audio": "音频检测"
+      },
+      "testStream": "测试连接",
+      "testSuccess": "视频流测试成功！",
+      "testFailed": "视频流测试失败",
+      "testFailedTitle": "测试失败",
+      "connected": "已连接",
+      "notConnected": "未连接",
+      "featuresTitle": "功能特性",
+      "go2rtc": "减少与摄像头的连接数",
+      "detectRoleWarning": "必须得有一个视频流设置了“检测”功能才能继续操作。",
+      "rolesPopover": {
+        "title": "视频流功能",
+        "detect": "用于目标检测的主码流。",
+        "record": "根据配置设置保存视频流片段。",
+        "audio": "用于音频检测的音视频流。"
+      },
+      "featuresPopover": {
+        "title": "视频流功能特性",
+        "description": "使用 go2rtc 中继转流功能，减少与摄像头的网络连接数，提升效率。"
+      }
+    },
+    "step4": {
+      "description": "将进行保存新摄像头配置前的最终验证与分析，请在保存前确保所有视频流均已连接。",
+      "validationTitle": "视频流验证",
+      "connectAllStreams": "连接所有视频流",
+      "reconnectionSuccess": "重新连接成功。",
+      "reconnectionPartial": "部分视频流重新连接失败。",
+      "streamUnavailable": "视频流预览不可用",
+      "reload": "重新加载",
+      "connecting": "连接中……",
+      "streamTitle": "视频流 {{number}}",
+      "valid": "通过",
+      "failed": "失败",
+      "notTested": "未测试",
+      "connectStream": "连接",
+      "connectingStream": "连接中",
+      "disconnectStream": "断开连接",
+      "estimatedBandwidth": "预估带宽",
+      "roles": "功能",
+      "ffmpegModule": "使用视频流兼容模式",
+      "ffmpegModuleDescription": "若多次尝试后仍无法加载视频流，可尝试启用此功能。启用后，Frigate 将通过 go2rtc 调用 ffmpeg 模块。这可能会提升与部分摄像头视频流的兼容性。",
+      "none": "无",
+      "error": "错误",
+      "streamValidated": "视频流 {{number}} 验证成功",
+      "streamValidationFailed": "视频流 {{number}} 验证失败",
+      "saveAndApply": "保存新摄像头",
+      "saveError": "配置无效，请检查您的设置。",
+      "issues": {
+        "title": "视频流验证",
+        "videoCodecGood": "视频编解码器为 {{codec}}。",
+        "audioCodecGood": "音频编解码器为 {{codec}}。",
+        "resolutionHigh": "使用 {{resolution}} 分辨率可能导致资源使用率增加。",
+        "resolutionLow": "{{resolution}} 分辨率可能过低，难以可靠检测小型目标或物体。",
+        "noAudioWarning": "检测到该视频流无音频信号，录制视频将没有声音。",
+        "audioCodecRecordError": "录制功能需要 AAC 音频编解码器以实现音频支持。",
+        "audioCodecRequired": "要实现音频检测功能，必须要有音频流。",
+        "restreamingWarning": "为录制流开启“减少与摄像头的连接数”可能会略微增加 CPU 使用率。",
+        "brands": {
+          "reolink-rtsp": "不建议使用 Reolink 的 RTSP 协议。请在摄像头后台设置中启用 HTTP协议，并重新启动向导。",
+          "reolink-http": "Reolink HTTP 视频流应该使用 FFmpeg 以获得更好的兼容性，为此视频流启用“使用流兼容模式”。"
+        },
+        "dahua": {
+          "substreamWarning": "子码流1当前被锁定为低分辨率。多数大华、安讯士、EmpireTech品牌的摄像头都支持额外的子码流，这些子码流需要在摄像头设置中手动启用。如果你的设备支持，建议你检查并使用这些高分辨率子码流。"
+        },
+        "hikvision": {
+          "substreamWarning": "子码流1当前被锁定为低分辨率。多数海康威视的摄像头都支持额外的子码流，这些子码流需要在摄像头设置中手动启用。如果你的设备支持，建议你检查并使用这些高分辨率子码流。"
+        }
+      }
+    }
+  },
+  "cameraManagement": {
+    "title": "管理摄像头",
+    "addCamera": "添加新摄像头",
+    "editCamera": "编辑摄像头：",
+    "selectCamera": "选择摄像头",
+    "backToSettings": "返回摄像头设置",
+    "streams": {
+      "title": "开启或关闭摄像头",
+      "desc": "将临时禁用摄像头，直至 Frigate 重启。禁用摄像头将完全停止 Frigate 对该摄像头视频流的处理，届时检测、录制及调试功能均不可用。<br /><em>注意：go2rtc 的转流服务不受影响。</em>"
+    },
+    "cameraConfig": {
+      "add": "添加摄像头",
+      "edit": "编辑摄像头",
+      "description": "配置摄像头设置，包括视频流输入和功能选择。",
+      "name": "摄像头名称",
+      "nameRequired": "摄像头名称为必填项",
+      "nameLength": "摄像头名称必须少于64个字符。",
+      "namePlaceholder": "例如：大门、后院等",
+      "enabled": "开启",
+      "ffmpeg": {
+        "inputs": "视频流输入",
+        "path": "视频流地址",
+        "pathRequired": "视频流地址为必填项",
+        "pathPlaceholder": "rtsp://...",
+        "roles": "功能",
+        "rolesRequired": "至少选择一个功能",
+        "rolesUnique": "每个功能（音频audio、检测detect、录制record）只能分配给一个视频流",
+        "addInput": "添加输入视频流",
+        "removeInput": "移除输入视频流",
+        "inputsRequired": "至少需要一个输入视频流"
+      },
+      "go2rtcStreams": "go2rtc 视频流",
+      "streamUrls": "视频流地址",
+      "addUrl": "添加地址",
+      "addGo2rtcStream": "添加 go2rtc 视频流",
+      "toast": {
+        "success": "摄像头 {{cameraName}} 已保存"
+      }
+    }
+  },
+  "cameraReview": {
+    "title": "摄像头核查设置",
+    "object_descriptions": {
+      "title": "生成式AI目标描述",
+      "desc": "临时启用或禁用此摄像头的 生成式AI目标描述 功能。禁用后，系统将不再请求该摄像头追踪目标和物体的AI生成描述。"
+    },
+    "review_descriptions": {
+      "title": "生成式 AI 核查总结",
+      "desc": "临时开关该摄像头的 生成式 AI 核查总结 功能。禁用后，系统将不再请求 AI 生成该摄像头核查项目的总结。"
+    },
+    "review": {
+      "title": "核查",
+      "desc": "临时开关该摄像头的警报与检测项生成功能，直到 Frigate 重启后恢复。禁用期间，系统将不再生成新的核查项目。 ",
+      "alerts": "警报 ",
+      "detections": "检测 "
+    },
+    "reviewClassification": {
+      "title": "核查分类",
+      "desc": "Frigate 将核查项的严重程度分为“警报”和“检测”两个等级。默认情况下，所有的<strong>人</strong>、<strong>汽车</strong> 目标都将视为警报。你可以通过修改配置文件配置区域来细分。",
+      "noDefinedZones": "此摄像头未设置任何监控区。",
+      "objectAlertsTips": "所有 {{alertsLabels}} 类目标或物体在 {{cameraName}} 下都将视为警报。",
+      "zoneObjectAlertsTips": "所有 {{alertsLabels}} 类目标或物体在 {{cameraName}} 下的 {{zone}} 区域内都将视为警报。",
+      "objectDetectionsTips": "所有在摄像头 {{cameraName}} 上，检测到的 {{detectionsLabels}} 目标或物体，无论它位于哪个区，都将显示为检测。",
+      "zoneObjectDetectionsTips": {
+        "text": "所有在摄像头 {{cameraName}} 下的 {{zone}} 区域内检测到未分类的 {{detectionsLabels}} 目标或物体，都将显示为检测。",
+        "notSelectDetections": "所有在摄像头 {{cameraName}}下的 {{zone}} 区域内检测到的 {{detectionsLabels}} 目标或物体，如果它未归类为警报，无论它位于哪个区，都将显示为检测。",
+        "regardlessOfZoneObjectDetectionsTips": "在摄像头 {{cameraName}} 上，所有未分类的 {{detectionsLabels}} 检测目标或物体，无论出现在哪个区域，都将显示为检测。"
+      },
+      "unsavedChanges": "摄像头 {{camera}} 的核查分类设置尚未保存",
+      "selectAlertsZones": "选择警报区",
+      "selectDetectionsZones": "选择检测区",
+      "limitDetections": "限制仅在特定区域内进行检测",
+      "toast": {
+        "success": "核查分类设置已保存，重启后生效。"
+      }
+    }
   }
 }
diff --git a/web/public/locales/zh-CN/views/system.json b/web/public/locales/zh-CN/views/system.json
index 27d0c91aa..4d06a16bf 100644
--- a/web/public/locales/zh-CN/views/system.json
+++ b/web/public/locales/zh-CN/views/system.json
@@ -40,16 +40,17 @@
     "detector": {
       "title": "检测器",
       "inferenceSpeed": "检测器推理速度",
-      "cpuUsage": "检测器CPU使用率",
+      "cpuUsage": "检测器 CPU 使用率",
       "memoryUsage": "检测器内存使用率",
-      "temperature": "检测器温度"
+      "temperature": "检测器温度",
+      "cpuUsageInformation": "此处的 CPU 使用率，只统计在给检测模型准备输入数据和处理输出数据时用到的 CPU。它不统计模型推理本身的资源占用，即使推理是在 GPU 或其他检测器上进行的。"
     },
     "hardwareInfo": {
       "title": "硬件信息",
-      "gpuUsage": "GPU使用率",
-      "gpuMemory": "GPU显存",
-      "gpuEncoder": "GPU编码",
-      "gpuDecoder": "GPU解码",
+      "gpuUsage": "GPU 使用率",
+      "gpuMemory": "GPU 显存",
+      "gpuEncoder": "GPU 编码",
+      "gpuDecoder": "GPU 解码",
       "gpuInfo": {
         "vainfoOutput": {
           "title": "Vainfo 输出",
@@ -65,22 +66,34 @@
           "vbios": "VBios信息：{{vbios}}"
         },
         "closeInfo": {
-          "label": "关闭GPU信息"
+          "label": "关闭 GPU 信息"
         },
         "copyInfo": {
-          "label": "复制GPU信息"
+          "label": "复制 GPU 信息"
         },
         "toast": {
-          "success": "已复制GPU信息到剪贴板"
+          "success": "已复制 GPU 信息到剪贴板"
         }
       },
       "npuMemory": "NPU内存",
-      "npuUsage": "NPU使用率"
+      "npuUsage": "NPU 使用率",
+      "intelGpuWarning": {
+        "title": "Intel GPU 处于警告状态",
+        "message": "GPU 状态不可用",
+        "description": "这是 Intel 的 GPU 状态报告工具（intel_gpu_top）的已知问题：该工具会失效并反复返回 GPU 使用率为 0%，即使在硬件加速和目标检测已在 (i)GPU 上正常运行的情况下也是如此，这并不是 Frigate 的 bug。你可以通过重启主机来临时修复该问题，并确认 GPU 正常工作。该问题并不会影响性能。"
+      }
     },
     "otherProcesses": {
       "title": "其他进程",
-      "processCpuUsage": "主进程CPU使用率",
-      "processMemoryUsage": "主进程内存使用率"
+      "processCpuUsage": "主进程 CPU 使用率",
+      "processMemoryUsage": "主进程内存使用率",
+      "series": {
+        "go2rtc": "go2rtc",
+        "recording": "录制",
+        "review_segment": "核查片段",
+        "embeddings": "增强功能",
+        "audio_detector": "音频检测"
+      }
     }
   },
   "storage": {
@@ -112,7 +125,7 @@
     "title": "摄像头",
     "overview": "概览",
     "info": {
-      "cameraProbeInfo": "{{camera}} 的摄像头信息",
+      "cameraProbeInfo": "摄像头 {{camera}} 的信息",
       "streamDataFromFFPROBE": "流数据信息通过<code>ffprobe</code>获取。",
       "fetching": "正在获取摄像头数据",
       "stream": "视频流{{idx}}",
@@ -162,7 +175,8 @@
     "reindexingEmbeddings": "正在重新索引嵌入（已完成 {{processed}}%）",
     "detectIsSlow": "{{detect}} 运行缓慢（{{speed}}毫秒）",
     "detectIsVerySlow": "{{detect}} 运行非常缓慢（{{speed}}毫秒）",
-    "cameraIsOffline": "{{camera}} 已离线"
+    "cameraIsOffline": "{{camera}} 已离线",
+    "shmTooLow": "/dev/shm 的分配空间过低（当前 {{total}} MB），应至少增加到 {{min}} MB。"
   },
   "enrichments": {
     "title": "增强功能",
@@ -178,7 +192,17 @@
       "face_recognition": "人脸特征提取",
       "plate_recognition": "车牌识别",
       "yolov9_plate_detection_speed": "YOLOv9 车牌检测速度",
-      "yolov9_plate_detection": "YOLOv9 车牌检测"
-    }
+      "yolov9_plate_detection": "YOLOv9 车牌检测",
+      "review_description": "核查总结",
+      "review_description_speed": "核查总结速度",
+      "review_description_events_per_second": "核查总结",
+      "object_description": "目标描述",
+      "object_description_speed": "目标描述速度",
+      "object_description_events_per_second": "目标描述",
+      "classification": "分类 {{name}}",
+      "classification_speed": "{{name}} 的分类速度",
+      "classification_events_per_second": "{{name}} 的每秒分类速度"
+    },
+    "averageInf": "平均推理时间"
   }
 }
diff --git a/web/public/locales/zh-Hant/audio.json b/web/public/locales/zh-Hant/audio.json
index 78613a56e..9a458ce9c 100644
--- a/web/public/locales/zh-Hant/audio.json
+++ b/web/public/locales/zh-Hant/audio.json
@@ -65,5 +65,17 @@
   "gargling": "漱口",
   "stomach_rumble": "腸胃蠕動",
   "burping": "打嗝",
-  "hiccup": "打噎"
+  "hiccup": "打噎",
+  "fart": "放屁",
+  "hands": "手",
+  "finger_snapping": "彈手指聲",
+  "clapping": "拍手",
+  "heartbeat": "心跳聲",
+  "heart_murmur": "心臟雜音",
+  "cheering": "歡呼聲",
+  "applause": "掌聲",
+  "chatter": "嘈雜聲",
+  "crowd": "人群聲",
+  "children_playing": "兒童嬉鬧聲",
+  "pets": "寵物"
 }
diff --git a/web/public/locales/zh-Hant/common.json b/web/public/locales/zh-Hant/common.json
index 41659ba91..17a60efaa 100644
--- a/web/public/locales/zh-Hant/common.json
+++ b/web/public/locales/zh-Hant/common.json
@@ -39,8 +39,8 @@
       "24hour": "M 月 d 日 HH:mm:ss"
     },
     "formattedTimestamp2": {
-      "12hour": "MM 月 dd 日 ah:mm:ss",
-      "24hour": "MM 月 dd 日 HH:mm:ss"
+      "12hour": "MM/dd h:mm:ssa",
+      "24hour": "d MMM HH:mm:ss"
     },
     "formattedTimestampHourMinute": {
       "12hour": "a h:mm",
@@ -64,9 +64,12 @@
     },
     "formattedTimestampMonthDay": "M 月 d 日",
     "formattedTimestampFilename": {
-      "12hour": "yy年MM月dd日 ah時mm分ss秒",
+      "12hour": "yy年MM月dd日 h時mm分ss秒",
       "24hour": "yy年MM月dd日 HH時mm分ss秒"
-    }
+    },
+    "inProgress": "處理中",
+    "invalidStartTime": "無效的起始時間",
+    "invalidEndTime": "無效的結束時間"
   },
   "unit": {
     "speed": {
@@ -76,10 +79,23 @@
     "length": {
       "feet": "英尺",
       "meters": "公尺"
+    },
+    "data": {
+      "kbps": "kB/s",
+      "mbps": "MB/s",
+      "gbps": "GB/s",
+      "kbph": "kB/小時",
+      "mbph": "MB/小時",
+      "gbph": "GB/小時"
     }
   },
   "label": {
-    "back": "返回"
+    "back": "返回",
+    "hide": "隱藏{{item}}",
+    "show": "顯示{{item}}",
+    "ID": "ID",
+    "none": "無",
+    "all": "全部"
   },
   "button": {
     "apply": "套用",
@@ -89,8 +105,8 @@
     "enable": "啟用",
     "disabled": "已停用",
     "disable": "停用",
-    "save": "保存",
-    "saving": "保存中…",
+    "save": "儲存",
+    "saving": "儲存中…",
     "cancel": "取消",
     "close": "關閉",
     "copy": "複製",
@@ -116,7 +132,8 @@
     "unselect": "取消選取",
     "export": "匯出",
     "deleteNow": "立即刪除",
-    "next": "繼續"
+    "next": "繼續",
+    "continue": "繼續"
   },
   "menu": {
     "system": "系統",
@@ -160,7 +177,15 @@
       "ca": "Català (加泰隆尼亞文)",
       "withSystem": {
         "label": "使用系統語言設定"
-      }
+      },
+      "ptBR": "Português brasileiro (巴西葡萄牙文)",
+      "sr": "Српски (塞爾維亞文)",
+      "sl": "Slovenščina (斯洛文尼亞文)",
+      "lt": "Lietuvių (立陶宛文)",
+      "bg": "Български (保加利亞文)",
+      "gl": "Galego (加利西亞文)",
+      "id": "Bahasa Indonesia (印尼文)",
+      "ur": "اردو (烏爾都文)"
     },
     "appearance": "外觀",
     "darkMode": {
@@ -207,7 +232,8 @@
       "anonymous": "匿名",
       "logout": "登出",
       "setPassword": "設定密碼"
-    }
+    },
+    "classification": "標籤分類"
   },
   "toast": {
     "copyUrlToClipboard": "已複製連結至剪貼簿。",
@@ -248,5 +274,17 @@
     "desc": "找不到頁面"
   },
   "selectItem": "選擇 {{item}}",
-  "readTheDocumentation": "閱讀文件"
+  "readTheDocumentation": "閱讀文件",
+  "list": {
+    "two": "{{0}}和{{1}}",
+    "many": "{{items}}和{{last}}",
+    "separatorWithSpace": ", "
+  },
+  "field": {
+    "optional": "可選的",
+    "internalID": "在Frigate 設定檔和資料庫使用的內部ID"
+  },
+  "information": {
+    "pixels": "{{area}}px"
+  }
 }
diff --git a/web/public/locales/zh-Hant/components/auth.json b/web/public/locales/zh-Hant/components/auth.json
index 34b97ef78..fbc70c4d4 100644
--- a/web/public/locales/zh-Hant/components/auth.json
+++ b/web/public/locales/zh-Hant/components/auth.json
@@ -10,6 +10,7 @@
       "rateLimit": "超過次數限制，請稍後再試。",
       "loginFailed": "登入失敗",
       "unknownError": "未知錯誤，請檢查日誌。"
-    }
+    },
+    "firstTimeLogin": "首次嘗試登入嗎？請從 Frigate 的日誌中查找產生的登入密碼等相關資訊。"
   }
 }
diff --git a/web/public/locales/zh-Hant/components/dialog.json b/web/public/locales/zh-Hant/components/dialog.json
index a29b487e1..b28ccca48 100644
--- a/web/public/locales/zh-Hant/components/dialog.json
+++ b/web/public/locales/zh-Hant/components/dialog.json
@@ -51,12 +51,13 @@
     "export": "匯出",
     "selectOrExport": "選擇或匯出",
     "toast": {
-      "success": "成功開始匯出。請至 /exports 資料夾查看匯出資料。",
+      "success": "成功開始匯出。至 /exports 頁查看匯出資料。",
       "error": {
         "failed": "匯出失敗：{{error}}",
         "endTimeMustAfterStartTime": "結束時間必須要在開始時間之後",
         "noVaildTimeSelected": "沒有選取有效的時間範圍"
-      }
+      },
+      "view": "查看"
     },
     "fromTimeline": {
       "saveExport": "保存匯出資料",
@@ -80,7 +81,7 @@
   },
   "search": {
     "saveSearch": {
-      "label": "保存搜尋",
+      "label": "儲存搜尋",
       "desc": "替此保存的搜尋命名。",
       "placeholder": "請輸入搜尋的名稱",
       "overwrite": "{{searchName}} 已存在。保存將會覆蓋現有資料。",
@@ -106,7 +107,16 @@
     "button": {
       "export": "匯出",
       "markAsReviewed": "標記為已審核",
-      "deleteNow": "立即刪除"
+      "deleteNow": "立即刪除",
+      "markAsUnreviewed": "標記為未審核"
     }
+  },
+  "imagePicker": {
+    "selectImage": "選取追蹤物件預覽圖",
+    "unknownLabel": "已儲存觸發圖片",
+    "search": {
+      "placeholder": "以標籤或子標籤搜尋..."
+    },
+    "noImages": "未找到此攝影機的縮圖"
   }
 }
diff --git a/web/public/locales/zh-Hant/components/filter.json b/web/public/locales/zh-Hant/components/filter.json
index 29ccaa5c2..1cbef2fd3 100644
--- a/web/public/locales/zh-Hant/components/filter.json
+++ b/web/public/locales/zh-Hant/components/filter.json
@@ -121,7 +121,9 @@
     "loading": "讀取已辨識車牌中…",
     "placeholder": "輸入以搜尋車牌…",
     "noLicensePlatesFound": "未找到車牌。",
-    "selectPlatesFromList": "從列表中選擇一個或多個車牌。"
+    "selectPlatesFromList": "從列表中選擇一個或多個車牌。",
+    "selectAll": "全選",
+    "clearAll": "全部清除"
   },
   "classes": {
     "label": "類別",
@@ -130,5 +132,9 @@
     },
     "count_one": "{{count}} 個類別",
     "count_other": "{{count}} 個類別"
+  },
+  "attributes": {
+    "label": "分類屬性",
+    "all": "所有屬性"
   }
 }
diff --git a/web/public/locales/zh-Hant/components/input.json b/web/public/locales/zh-Hant/components/input.json
index df3ed93c0..ed7eee77c 100644
--- a/web/public/locales/zh-Hant/components/input.json
+++ b/web/public/locales/zh-Hant/components/input.json
@@ -3,7 +3,7 @@
     "downloadVideo": {
       "label": "下載影片",
       "toast": {
-        "success": "你的審查影片已開始下載。"
+        "success": "你的審查項目影片已開始下載。"
       }
     }
   }
diff --git a/web/public/locales/zh-Hant/views/classificationModel.json b/web/public/locales/zh-Hant/views/classificationModel.json
new file mode 100644
index 000000000..32fce2423
--- /dev/null
+++ b/web/public/locales/zh-Hant/views/classificationModel.json
@@ -0,0 +1,104 @@
+{
+  "toast": {
+    "success": {
+      "deletedImage": "已刪除的圖片",
+      "deletedModel_other": "已成功刪除 {{count}} 個模型",
+      "deletedCategory": "已刪除分類",
+      "categorizedImage": "成功分類圖片",
+      "trainedModel": "訓練模型成功。",
+      "trainingModel": "已開始訓練模型。",
+      "updatedModel": "已更新模型配置",
+      "renamedCategory": "成功修改分類名稱為{{name}}"
+    },
+    "error": {
+      "deleteImageFailed": "刪除失敗：{{errorMessage}}",
+      "deleteCategoryFailed": "刪除分類標籤失敗: {{errorMessage}}",
+      "deleteModelFailed": "刪除模型失敗: {{errorMessage}}",
+      "categorizeFailed": "圖片分類失敗: {{errorMessage}}",
+      "trainingFailed": "模型訓練失敗。請至Frigate 日誌查看詳情。",
+      "trainingFailedToStart": "模型訓練啟動失敗: {{errorMessage}}",
+      "updateModelFailed": "模型更新失敗: {{errorMessage}}",
+      "renameCategoryFailed": "類別重新命名失敗: {{errorMessage}}"
+    }
+  },
+  "documentTitle": "分類模型",
+  "details": {
+    "scoreInfo": "分數表示該目標所有偵測結果的平均分類置信度。",
+    "none": "沒有",
+    "unknown": "未知"
+  },
+  "button": {
+    "deleteClassificationAttempts": "刪除分類圖片",
+    "renameCategory": "重新命名分類",
+    "deleteCategory": "刪除分類",
+    "deleteImages": "刪除圖片",
+    "trainModel": "訓練模型",
+    "addClassification": "添加分類",
+    "deleteModels": "刪除模型",
+    "editModel": "編輯模型"
+  },
+  "tooltip": {
+    "trainingInProgress": "模型正在訓練中",
+    "noNewImages": "沒有新的圖片可用於訓練。請先對數據集中的更多圖片進行分類。",
+    "noChanges": "自上次訓練以來，數據集未作任何更改。",
+    "modelNotReady": "模型尚未準備好進行訓練"
+  },
+  "deleteCategory": {
+    "title": "刪除類別",
+    "desc": "你確定要刪除類別{{name}}嗎? 這將刪除所有有關的圖片並需要重新訓練模型。",
+    "minClassesTitle": "無法刪除此類別",
+    "minClassesDesc": "分類模型必須至少擁有2個類別，新增一個新的類別已刪除這個。"
+  },
+  "deleteModel": {
+    "title": "刪除分類模型",
+    "single": "你確定要刪除{{name}}嗎? 這將永久刪除包含圖片和訓練資料在內的所有相關資料。這個操作無法被復原。",
+    "desc_other": "你確定要刪除{{count}}個模型? 這將永久刪除包含圖片和訓練資料在內的所有相關資料。這個操作無法被復原。"
+  },
+  "edit": {
+    "title": "編輯分類模型",
+    "descriptionState": "編輯這個狀態分類模型的類別，變更將需要重新訓練模型。",
+    "descriptionObject": "編輯這個物件分類模型的物件種類與分類種類。",
+    "stateClassesInfo": "注意: 變更狀態類別後需要以更新後的類別重新訓練模型。"
+  },
+  "deleteDatasetImages": {
+    "title": "刪除圖片資料集合",
+    "desc_other": "你確定要從{{dataset}}中刪除{{count}}個圖片嗎? 這個操作將無法被復原且將需要重新訓練模型。"
+  },
+  "deleteTrainImages": {
+    "title": "刪除訓練圖片",
+    "desc_other": "你確定要刪除{{count}}個圖片? 這個操作無法被復原。"
+  },
+  "renameCategory": {
+    "title": "重新命名類別",
+    "desc": "輸入 {{name}} 的新名稱。您需要在名稱變更後重新訓練模型以套用變更。"
+  },
+  "description": {
+    "invalidName": "無效的名稱。名稱只能包涵英數字、空格、撇（'）、底線（_）及連字號（-）。"
+  },
+  "train": {
+    "title": "最近的分類紀錄",
+    "titleShort": "最近",
+    "aria": "選取最近的分類紀錄"
+  },
+  "categories": "類別",
+  "createCategory": {
+    "new": "建立新的類別"
+  },
+  "wizard": {
+    "step1": {
+      "objectLabel": "物件標籤",
+      "objectLabelPlaceholder": "請選擇物件類型...",
+      "classificationType": "分類類型",
+      "classificationTypeTip": "學習更多有關分類類型",
+      "description": "狀態模型監視固定攝像頭區域的變化（例如：開關門）。物件模型為檢測到的物件（例如：已知動物、送貨員等等）添加分類。",
+      "name": "名稱",
+      "namePlaceholder": "請輸入模型名稱...",
+      "type": "類別",
+      "typeState": "狀態",
+      "typeObject": "物件"
+    },
+    "steps": {
+      "chooseExamples": "選擇範本"
+    }
+  }
+}
diff --git a/web/public/locales/zh-Hant/views/events.json b/web/public/locales/zh-Hant/views/events.json
index 8571ea39f..c8883f420 100644
--- a/web/public/locales/zh-Hant/views/events.json
+++ b/web/public/locales/zh-Hant/views/events.json
@@ -8,7 +8,11 @@
   "empty": {
     "motion": "未找到移動資料",
     "alert": "沒有警告需要審核",
-    "detection": "沒有偵測到的內容需要審核"
+    "detection": "沒有偵測到的內容需要審核",
+    "recordingsDisabled": {
+      "title": "必須啟用錄製功能",
+      "description": "僅當該攝影機啟用錄製功能時，才能為該攝影機建立審查項目。"
+    }
   },
   "timeline": "時間線",
   "timeline.aria": "選擇時間線",
@@ -36,5 +40,27 @@
   "camera": "鏡頭",
   "detected": "已偵測",
   "suspiciousActivity": "可疑的活動",
-  "threateningActivity": "有威脅性的活動"
+  "threateningActivity": "有威脅性的活動",
+  "zoomIn": "放大",
+  "zoomOut": "縮小",
+  "detail": {
+    "label": "詳細資訊",
+    "noDataFound": "沒有可供檢視的詳細資訊",
+    "aria": "開關詳細資訊視圖",
+    "trackedObject_one": "{{count}} 個物件",
+    "trackedObject_other": "{{count}} 個物件",
+    "noObjectDetailData": "沒有可用物件細節。",
+    "settings": "細節視圖設定",
+    "alwaysExpandActive": {
+      "title": "總是展開",
+      "desc": "在可用時總是展開當前物件的詳細資訊。"
+    }
+  },
+  "objectTrack": {
+    "trackedPoint": "追蹤點",
+    "clickToSeek": "點擊從此時間點尋找"
+  },
+  "normalActivity": "正常",
+  "needsReview": "待審核",
+  "securityConcern": "安全隱憂"
 }
diff --git a/web/public/locales/zh-Hant/views/explore.json b/web/public/locales/zh-Hant/views/explore.json
index 6997b08dd..598700963 100644
--- a/web/public/locales/zh-Hant/views/explore.json
+++ b/web/public/locales/zh-Hant/views/explore.json
@@ -47,12 +47,16 @@
         "success": {
           "regenerate": "已從 {{provider}} 請求新的說明。根據提供者的速度，生成新的說明可能會需要一段時間。",
           "updatedSublabel": "成功更新子標籤。",
-          "updatedLPR": "成功更新車牌。"
+          "updatedLPR": "成功更新車牌。",
+          "updatedAttributes": "已成功更新屬性。",
+          "audioTranscription": "已成功送出音訊轉錄請求。轉錄完成所需時間會依您的 Frigate 伺服器速度而定，可能需要一段時間。"
         },
         "error": {
           "regenerate": "請求 {{provider}} 生成新的說明失敗：{{errorMessage}}",
           "updatedSublabelFailed": "更新子標籤失敗：{{errorMessage}}",
-          "updatedLPRFailed": "更新車牌失敗：{{errorMessage}}"
+          "updatedLPRFailed": "更新車牌失敗：{{errorMessage}}",
+          "updatedAttributesFailed": "更新屬性失敗：{{errorMessage}}",
+          "audioTranscription": "請求音訊轉錄失敗：{{errorMessage}}"
         }
       }
     },
@@ -97,6 +101,17 @@
     "tips": {
       "descriptionSaved": "成功保存說明",
       "saveDescriptionFailed": "更新說明失敗：{{errorMessage}}"
+    },
+    "editAttributes": {
+      "title": "編輯屬性",
+      "desc": "為此 {{label}} 選擇分類屬性"
+    },
+    "score": {
+      "label": "分數"
+    },
+    "attributes": "分類屬性",
+    "title": {
+      "label": "標題"
     }
   },
   "trackedObjectDetails": "追蹤物件詳情",
@@ -104,7 +119,9 @@
     "details": "詳情",
     "snapshot": "截圖",
     "video": "影片",
-    "object_lifecycle": "物件生命週期"
+    "object_lifecycle": "物件生命週期",
+    "thumbnail": "預覽圖",
+    "tracking_details": "追蹤詳情"
   },
   "objectLifecycle": {
     "title": "物件生命週期",
@@ -182,12 +199,34 @@
     },
     "deleteTrackedObject": {
       "label": "刪除此追蹤物件"
+    },
+    "hideObjectDetails": {
+      "label": "隱藏物件路徑"
+    },
+    "showObjectDetails": {
+      "label": "顯示物件路徑"
+    },
+    "addTrigger": {
+      "label": "新增觸發器",
+      "aria": "為此追蹤物件新增觸發器"
+    },
+    "audioTranscription": {
+      "label": "轉錄",
+      "aria": "請求音訊轉錄"
+    },
+    "downloadCleanSnapshot": {
+      "label": "下載乾淨的快照",
+      "aria": "下載乾淨的快照"
+    },
+    "viewTrackingDetails": {
+      "label": "檢視追蹤詳細資訊",
+      "aria": "顯示追蹤詳細資訊"
     }
   },
   "dialog": {
     "confirmDelete": {
       "title": "確認刪除",
-      "desc": "刪除此追蹤物件將移除截圖、所有已保存的嵌入，以及所有相關的物件生命週期紀錄。歷史記錄中的錄影<em>不會</em>被刪除。<br /><br />你確定要刪除嗎？"
+      "desc": "刪除此追蹤物件將移除截圖、所有已保存的嵌入，以及所有相關的追蹤詳情。歷史記錄中的錄影<em>不會</em>被刪除。<br /><br />你確定要刪除嗎？"
     }
   },
   "noTrackedObjects": "找不到追蹤物件",
@@ -200,6 +239,60 @@
         "success": "成功刪除蹤物件。",
         "error": "刪除追蹤物件失敗：{{errorMessage}}"
       }
+    },
+    "previousTrackedObject": "上一個追蹤物件",
+    "nextTrackedObject": "下一個追蹤物件"
+  },
+  "trackingDetails": {
+    "title": "追蹤詳情",
+    "noImageFound": "沒有找到在此時間點的圖片。",
+    "createObjectMask": "建立物件遮罩",
+    "adjustAnnotationSettings": "調整標記設定",
+    "scrollViewTips": "點擊查看物件周期的關鍵時間。",
+    "autoTrackingTips": "自動追蹤鏡頭的邊框位置可能不準確。",
+    "count": "{{second}}之{{first}}",
+    "trackedPoint": "追蹤點",
+    "lifecycleItemDesc": {
+      "visible": "偵測到 {{label}}",
+      "entered_zone": "{{label}} 已進入 {{zones}}",
+      "active": "{{label}} 正在活動",
+      "stationary": "{{label}} 變為靜止",
+      "attribute": {
+        "faceOrLicense_plate": "偵測到{{label}} {{attribute}}",
+        "other": "{{label}} 被識別為 {{attribute}}"
+      },
+      "gone": "{{label}} 已離開",
+      "heard": "聽到了 {{label}}",
+      "external": "偵測到 {{label}}",
+      "header": {
+        "zones": "區域",
+        "ratio": "比例",
+        "score": "分數",
+        "area": "面積"
+      }
+    },
+    "annotationSettings": {
+      "title": "標記設定",
+      "showAllZones": {
+        "title": "顯示所有區域",
+        "desc": "總是在物件進入區域時在畫面上顯示區域範圍。"
+      },
+      "offset": {
+        "label": "標記偏移量",
+        "desc": "這個資料來自您的鏡頭的偵測串流源，但是被疊加在錄影串流源的畫面上，兩個串流源不太可能完美的同步，因此邊框與畫面無法完美的對齊。您可以用這項設定調整標記在時間上前後偏移的補償量來更好的將其與錄影畫面對齊。",
+        "millisecondsToOffset": "偵測標記偏移補償的毫秒數。<em>預設值: 0</em>",
+        "tips": "如果影片播放進度超前於方框和路徑點，則降低該值；如果影片播放進度落後於方框和路徑點，則增加該數值。該值可以為負數。",
+        "toast": {
+          "success": "{{camera}} 的標記偏移補償量已儲存至設定檔。"
+        }
+      }
+    },
+    "carousel": {
+      "previous": "上一張投影片",
+      "next": "下一張投影片"
     }
+  },
+  "aiAnalysis": {
+    "title": "AI 分析"
   }
 }
diff --git a/web/public/locales/zh-Hant/views/exports.json b/web/public/locales/zh-Hant/views/exports.json
index 159e66e17..3d3f9e87c 100644
--- a/web/public/locales/zh-Hant/views/exports.json
+++ b/web/public/locales/zh-Hant/views/exports.json
@@ -13,5 +13,11 @@
       "renameExportFailed": "重新命名匯出內容失敗：{{errorMessage}}"
     }
   },
-  "deleteExport.desc": "你確定要刪除 {{exportName}} 嗎？"
+  "deleteExport.desc": "你確定要刪除 {{exportName}} 嗎？",
+  "tooltip": {
+    "shareExport": "分享匯出",
+    "downloadVideo": "下載影片",
+    "editName": "編輯名稱",
+    "deleteExport": "刪除匯出"
+  }
 }
diff --git a/web/public/locales/zh-Hant/views/faceLibrary.json b/web/public/locales/zh-Hant/views/faceLibrary.json
index 52675a51b..938bf1581 100644
--- a/web/public/locales/zh-Hant/views/faceLibrary.json
+++ b/web/public/locales/zh-Hant/views/faceLibrary.json
@@ -1,6 +1,6 @@
 {
   "description": {
-    "addFace": "了解如何新增圖片集合至人臉資料庫。",
+    "addFace": "上傳您的第一張照片至臉部資料庫以新增一個新的集合。",
     "placeholder": "輸入此集合的名稱",
     "invalidName": "無效的名稱。名稱只能包涵英數字、空格、撇（'）、底線（_）及連字號（-）。"
   },
@@ -24,7 +24,7 @@
     "title": "建立集合",
     "desc": "建立新集合",
     "new": "建立新人臉",
-    "nextSteps": "為了建立可靠的模型基底：<li>在訓練分頁中選擇並針對每個偵測到人的圖片進行訓練。</li><li>請優先使用正臉照以獲得最佳效果，請盡量避免使用從側面或有傾斜角度的人臉</li></ul>"
+    "nextSteps": "為了建立可靠的模型基底：<li>在最近的識別紀錄分頁中選擇並針對每個偵測到人的圖片進行訓練。</li><li>請優先使用正臉照以獲得最佳效果，請盡量避免使用從側面或有傾斜角度的人臉</li></ul>"
   },
   "steps": {
     "faceName": "輸入人臉名稱",
@@ -35,9 +35,10 @@
     }
   },
   "train": {
-    "title": "訓練",
-    "aria": "選擇訓練",
-    "empty": "最近沒有辨識人臉的操作"
+    "title": "最近的識別紀錄",
+    "aria": "選擇最近的識別紀錄",
+    "empty": "最近沒有辨識人臉的操作",
+    "titleShort": "最近"
   },
   "selectFace": "選擇人臉",
   "deleteFaceLibrary": {
@@ -65,7 +66,7 @@
       "selectImage": "請選擇一個圖片檔。"
     },
     "dropActive": "將圖片拖到這裡…",
-    "dropInstructions": "將圖片拖放至此處，或點擊以選取",
+    "dropInstructions": "拖放或貼上圖片至此處，或點擊以選取",
     "maxSize": "最大檔案大小：{{size}}MB"
   },
   "nofaces": "沒有可用的人臉",
@@ -81,7 +82,7 @@
       "deletedName_other": "{{count}} 個人臉已成功刪除。",
       "renamedFace": "成功將人臉重新命名為 {{name}}",
       "trainedFace": "成功訓練人臉。",
-      "updatedFaceScore": "成功更新人臉分數。"
+      "updatedFaceScore": "成功更新人臉分數{{name}}({{score}})。"
     },
     "error": {
       "uploadingImageFailed": "上傳圖片失敗：{{errorMessage}}",
diff --git a/web/public/locales/zh-Hant/views/live.json b/web/public/locales/zh-Hant/views/live.json
index 89163c677..a839b4b88 100644
--- a/web/public/locales/zh-Hant/views/live.json
+++ b/web/public/locales/zh-Hant/views/live.json
@@ -86,8 +86,8 @@
     "disable": "隱藏串流統計資料"
   },
   "manualRecording": {
-    "title": "應需錄影",
-    "tips": "根據此鏡頭的錄影保留設定手動啟動事件。",
+    "title": "應需",
+    "tips": "根據此鏡頭的錄影保留設定，下載快照或手動啟動事件。",
     "playInBackground": {
       "label": "背景播放",
       "desc": "啟用此選項以在播放器被隱藏時繼續播放串流。"
@@ -166,5 +166,11 @@
   "transcription": {
     "enable": "啟用即時語音轉錄",
     "disable": "停用即時語音轉錄"
+  },
+  "snapshot": {
+    "takeSnapshot": "下載即時快照",
+    "noVideoSource": "沒有可用的影片資源以擷取快照。",
+    "captureFailed": "快照擷取失敗。",
+    "downloadStarted": "已開始下載快照。"
   }
 }
diff --git a/web/public/locales/zh-Hant/views/search.json b/web/public/locales/zh-Hant/views/search.json
index 0b56209c2..7fe475e5e 100644
--- a/web/public/locales/zh-Hant/views/search.json
+++ b/web/public/locales/zh-Hant/views/search.json
@@ -5,7 +5,7 @@
   "button": {
     "clear": "清空搜尋",
     "filterActive": "過濾中",
-    "save": "保存搜尋",
+    "save": "儲存搜尋",
     "delete": "刪除保存的搜尋",
     "filterInformation": "過濾資訊"
   },
@@ -26,7 +26,8 @@
       "recognized_license_plate": "已辨識的車牌",
       "has_clip": "包含片段",
       "has_snapshot": "包含截圖",
-      "time_range": "時間範圍"
+      "time_range": "時間範圍",
+      "attributes": "屬性"
     },
     "searchType": {
       "thumbnail": "截圖",
diff --git a/web/public/locales/zh-Hant/views/settings.json b/web/public/locales/zh-Hant/views/settings.json
index 5574bf0f0..652583a09 100644
--- a/web/public/locales/zh-Hant/views/settings.json
+++ b/web/public/locales/zh-Hant/views/settings.json
@@ -3,13 +3,15 @@
     "default": "設定 - Frigate",
     "authentication": "認證設定 - Frigate",
     "camera": "鏡頭設定 - Frigate",
-    "enrichments": "進階設定 - Frigate",
-    "general": "一般設定 - Frigate",
+    "enrichments": "進階功能設定 - Frigate",
+    "general": "使用者介面設定 - Frigate",
     "frigatePlus": "Frigate+ 設定 - Frigate",
     "notifications": "通知設定 - Frigate",
     "masksAndZones": "遮罩與區域編輯器 - Frigate",
     "motionTuner": "移動偵測調教器 - Frigate",
-    "object": "除錯 - Frigate"
+    "object": "除錯 - Frigate",
+    "cameraManagement": "管理鏡頭 - Frigate",
+    "cameraReview": "相機預覽設置 - Frigate"
   },
   "menu": {
     "ui": "使用者介面",
@@ -21,7 +23,10 @@
     "users": "使用者",
     "notifications": "通知",
     "frigateplus": "Frigate+",
-    "triggers": "觸發"
+    "triggers": "觸發",
+    "cameraManagement": "管理",
+    "cameraReview": "預覽",
+    "roles": "角色"
   },
   "dialog": {
     "unsavedChanges": {
@@ -34,7 +39,7 @@
     "noCamera": "沒有鏡頭"
   },
   "general": {
-    "title": "一般設定",
+    "title": "使用者介面設定",
     "liveDashboard": {
       "title": "即時監控面板",
       "automaticLiveView": {
@@ -44,6 +49,14 @@
       "playAlertVideos": {
         "label": "播放警報影片",
         "desc": "最近的警報影片預設會在即時監控面板中連續循環播放。取消這個選項，可以只顯示靜態的最近警報擷圖（僅套用於該裝置/瀏覽器）。"
+      },
+      "displayCameraNames": {
+        "label": "總是顯示鏡頭名稱",
+        "desc": "總是在多鏡頭直播頁面顯示鏡頭的名稱標籤。"
+      },
+      "liveFallbackTimeout": {
+        "label": "直播播放器回退逾時",
+        "desc": "當高畫質串流直播無法使用時，在此秒數後會回退成低流量模式。預設值: 3。"
       }
     },
     "storedLayouts": {
@@ -84,7 +97,50 @@
     }
   },
   "enrichments": {
-    "title": "強化設定",
-    "unsavedChanges": "尚未儲存的強化設定變更"
+    "title": "進階功能設定",
+    "unsavedChanges": "尚未儲存的強化設定變更",
+    "semanticSearch": {
+      "modelSize": {
+        "label": "模型大小",
+        "small": {
+          "title": "小"
+        }
+      }
+    },
+    "faceRecognition": {
+      "title": "人臉識別"
+    }
+  },
+  "cameraWizard": {
+    "title": "新增相機",
+    "testResultLabels": {
+      "resolution": "解析度",
+      "video": "影像",
+      "audio": "語音"
+    },
+    "commonErrors": {
+      "testFailed": "串流測試失敗: {{error}}"
+    },
+    "step1": {
+      "description": "輸入相機詳細資訊並選擇自動偵測或手動選擇相機品牌。",
+      "cameraName": "相機名稱",
+      "cameraNamePlaceholder": "例: 前門 / 後院",
+      "host": "主機/IP 位置",
+      "port": "埠",
+      "username": "用戶名稱",
+      "usernamePlaceholder": "選填",
+      "password": "密碼",
+      "passwordPlaceholder": "選填",
+      "selectTransport": "選擇協議",
+      "cameraBrand": "相機品牌"
+    }
+  },
+  "triggers": {
+    "toast": {
+      "error": {
+        "deleteTriggerFailed": "刪除觸發器失敗：{{errorMessage}}",
+        "updateTriggerFailed": "更新觸發器失敗：{{errorMessage}}"
+      }
+    }
   }
 }
diff --git a/web/public/locales/zh-Hant/views/system.json b/web/public/locales/zh-Hant/views/system.json
index 9f208baab..e956b9a42 100644
--- a/web/public/locales/zh-Hant/views/system.json
+++ b/web/public/locales/zh-Hant/views/system.json
@@ -2,8 +2,8 @@
   "documentTitle": {
     "cameras": "鏡頭統計 - Frigate",
     "storage": "儲存裝置統計 - Frigate",
-    "general": "統計總覽 - Frigate",
-    "enrichments": "進階統計 - Frigate",
+    "general": "一般統計 - Frigate",
+    "enrichments": "進階功能統計 - Frigate",
     "logs": {
       "frigate": "Frigate 日誌 - Frigate",
       "go2rtc": "Go2RTC 日誌 - Frigate",
@@ -76,12 +76,24 @@
         }
       },
       "npuUsage": "NPU 使用率",
-      "npuMemory": "NPU 記憶體"
+      "npuMemory": "NPU 記憶體",
+      "intelGpuWarning": {
+        "title": "Intel GPU 狀態警告",
+        "message": "GPU 狀態資訊不可用",
+        "description": "這是一個在Intel GPU 狀態回報工具 (intel_gpu_top) 中已知的 Bug，該工具會故障並重複的回報 GPU占用率為 0%，甚至在硬體加速與物件偵測在 (i)GPU上正確運作時也是如此。這不是 Frigate 的 Bug。您可以透過重新啟動主機來暫時修復此問題以確認 GPU 運作正常。這不會影響效能。"
+      }
     },
     "otherProcesses": {
       "title": "其他行程",
       "processCpuUsage": "行程 CPU 使用率",
-      "processMemoryUsage": "行程記憶體使用量"
+      "processMemoryUsage": "行程記憶體使用量",
+      "series": {
+        "recording": "记录",
+        "review_segment": "评论部分",
+        "embeddings": "嵌入",
+        "audio_detector": "音訊偵測器",
+        "go2rtc": "go2rtc"
+      }
     }
   },
   "storage": {
@@ -103,6 +115,10 @@
         "title": "未使用",
         "tips": "在磁碟中有除了 Frigate 錄影內容以外的檔案時，此數值可能無法正確反應可用的空間。Frigate 不會追蹤錄影資料以外的檔案的儲存空間用量。"
       }
+    },
+    "shm": {
+      "title": "SHM（共享記憶體）配置",
+      "warning": "目前的 SHM 大小為 {{total}}MB，過小。請將其增加至至少 {{min_shm}}MB。"
     }
   },
   "cameras": {
@@ -159,7 +175,8 @@
     "reindexingEmbeddings": "正在重新替嵌入資料建立索引（已完成 {{processed}}%）",
     "cameraIsOffline": "{{camera}} 已離線",
     "detectIsSlow": "{{detect}} 偵測速度較慢（{{speed}} 毫秒）",
-    "detectIsVerySlow": "{{detect}} 偵測速度緩慢（{{speed}} 毫秒）"
+    "detectIsVerySlow": "{{detect}} 偵測速度緩慢（{{speed}} 毫秒）",
+    "shmTooLow": "/dev/shm 配置（{{total}} MB）應增加至至少{{min}} MB。"
   },
   "enrichments": {
     "title": "進階功能",
@@ -175,7 +192,17 @@
       "plate_recognition_speed": "車牌辨識速度",
       "text_embedding_speed": "文字提取速度",
       "yolov9_plate_detection_speed": "YOLOv9 車牌偵測速度",
-      "yolov9_plate_detection": "YOLOv9 車牌辨識"
-    }
+      "yolov9_plate_detection": "YOLOv9 車牌辨識",
+      "review_description": "審查說明",
+      "review_description_speed": "審查描述速度",
+      "review_description_events_per_second": "審查說明",
+      "object_description": "物件說明",
+      "object_description_speed": "物件說明速度",
+      "object_description_events_per_second": "物件說明",
+      "classification": "{{name}} 分類",
+      "classification_speed": "{{name}}分類速度",
+      "classification_events_per_second": "{{name}} 分類每秒事件數"
+    },
+    "averageInf": "平均推論時間"
   }
 }
diff --git a/web/public/notifications-worker.js b/web/public/notifications-worker.js
index ab8a6ae44..ba4e033ea 100644
--- a/web/public/notifications-worker.js
+++ b/web/public/notifications-worker.js
@@ -44,11 +44,16 @@ self.addEventListener("notificationclick", (event) => {
     switch (event.action ?? "default") {
       case "markReviewed":
         if (event.notification.data) {
-          fetch("/api/reviews/viewed", {
-            method: "POST",
-            headers: { "Content-Type": "application/json", "X-CSRF-TOKEN": 1 },
-            body: JSON.stringify({ ids: [event.notification.data.id] }),
-          });
+          event.waitUntil(
+            fetch("/api/reviews/viewed", {
+              method: "POST",
+              headers: {
+                "Content-Type": "application/json",
+                "X-CSRF-TOKEN": 1,
+              },
+              body: JSON.stringify({ ids: [event.notification.data.id] }),
+            }), // eslint-disable-line comma-dangle
+          );
         }
         break;
       default:
@@ -58,7 +63,7 @@ self.addEventListener("notificationclick", (event) => {
           // eslint-disable-next-line no-undef
           if (clients.openWindow) {
             // eslint-disable-next-line no-undef
-            return clients.openWindow(url);
+            event.waitUntil(clients.openWindow(url));
           }
         }
     }
diff --git a/web/src/App.tsx b/web/src/App.tsx
index 2fbfa4c99..d7a9ec3e9 100644
--- a/web/src/App.tsx
+++ b/web/src/App.tsx
@@ -14,6 +14,8 @@ import ProtectedRoute from "@/components/auth/ProtectedRoute";
 import { AuthProvider } from "@/context/auth-context";
 import useSWR from "swr";
 import { FrigateConfig } from "./types/frigateConfig";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
+import { isRedirectingToLogin } from "@/api/auth-redirect";
 
 const Live = lazy(() => import("@/pages/Live"));
 const Events = lazy(() => import("@/pages/Events"));
@@ -50,6 +52,23 @@ function DefaultAppView() {
   const { data: config } = useSWR<FrigateConfig>("config", {
     revalidateOnFocus: false,
   });
+
+  // Compute required roles for main routes, ensuring we have config first
+  // to prevent race condition where custom roles are temporarily unavailable
+  const mainRouteRoles = config?.auth?.roles
+    ? Object.keys(config.auth.roles)
+    : undefined;
+
+  // Show loading indicator during redirect to prevent React from attempting to render
+  // lazy components, which would cause error #426 (suspension during synchronous navigation)
+  if (isRedirectingToLogin()) {
+    return (
+      <div className="size-full overflow-hidden">
+        <ActivityIndicator className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2" />
+      </div>
+    );
+  }
+
   return (
     <div className="size-full overflow-hidden">
       {isDesktop && <Sidebar />}
@@ -68,13 +87,11 @@ function DefaultAppView() {
           <Routes>
             <Route
               element={
-                <ProtectedRoute
-                  requiredRoles={
-                    config?.auth.roles
-                      ? Object.keys(config.auth.roles)
-                      : ["admin", "viewer"]
-                  }
-                />
+                mainRouteRoles ? (
+                  <ProtectedRoute requiredRoles={mainRouteRoles} />
+                ) : (
+                  <ActivityIndicator className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2" />
+                )
               }
             >
               <Route index element={<Live />} />
diff --git a/web/src/api/auth-redirect.ts b/web/src/api/auth-redirect.ts
new file mode 100644
index 000000000..f19e2b8a5
--- /dev/null
+++ b/web/src/api/auth-redirect.ts
@@ -0,0 +1,12 @@
+// Module-level flag to prevent multiple simultaneous redirects
+// (eg, when multiple SWR queries fail with 401 at once, or when
+// both ApiProvider and ProtectedRoute try to redirect)
+let _isRedirectingToLogin = false;
+
+export function isRedirectingToLogin(): boolean {
+  return _isRedirectingToLogin;
+}
+
+export function setRedirectingToLogin(value: boolean): void {
+  _isRedirectingToLogin = value;
+}
diff --git a/web/src/api/index.tsx b/web/src/api/index.tsx
index a9044a6d7..e5c5617ab 100644
--- a/web/src/api/index.tsx
+++ b/web/src/api/index.tsx
@@ -3,6 +3,7 @@ import { SWRConfig } from "swr";
 import { WsProvider } from "./ws";
 import axios from "axios";
 import { ReactNode } from "react";
+import { isRedirectingToLogin, setRedirectingToLogin } from "./auth-redirect";
 
 axios.defaults.baseURL = `${baseUrl}api/`;
 
@@ -31,7 +32,8 @@ export function ApiProvider({ children, options }: ApiProviderType) {
           ) {
             // redirect to the login page if not already there
             const loginPage = error.response.headers.get("location") ?? "login";
-            if (window.location.href !== loginPage) {
+            if (window.location.href !== loginPage && !isRedirectingToLogin()) {
+              setRedirectingToLogin(true);
               window.location.href = loginPage;
             }
           }
diff --git a/web/src/api/ws.tsx b/web/src/api/ws.tsx
index 8ebc01727..44d45ea2f 100644
--- a/web/src/api/ws.tsx
+++ b/web/src/api/ws.tsx
@@ -33,14 +33,9 @@ function useValue(): useValueReturn {
 
   // main state
 
-  const [hasCameraState, setHasCameraState] = useState(false);
   const [wsState, setWsState] = useState<WsState>({});
 
   useEffect(() => {
-    if (hasCameraState) {
-      return;
-    }
-
     const activityValue: string = wsState["camera_activity"] as string;
 
     if (!activityValue) {
@@ -105,12 +100,9 @@ function useValue(): useValueReturn {
       ...cameraStates,
     }));
 
-    if (Object.keys(cameraStates).length > 0) {
-      setHasCameraState(true);
-    }
     // we only want this to run initially when the config is loaded
     // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [wsState]);
+  }, [wsState["camera_activity"]]);
 
   // ws handler
   const { sendJsonMessage, readyState } = useWebSocket(wsUrl, {
@@ -131,9 +123,7 @@ function useValue(): useValueReturn {
         retain: false,
       });
     },
-    onClose: () => {
-      setHasCameraState(false);
-    },
+    onClose: () => {},
     shouldReconnect: () => true,
     retryOnError: true,
   });
@@ -471,6 +461,40 @@ export function useEmbeddingsReindexProgress(
   return { payload: data };
 }
 
+export function useAudioTranscriptionProcessState(
+  revalidateOnFocus: boolean = true,
+): { payload: string } {
+  const {
+    value: { payload },
+    send: sendCommand,
+  } = useWs("audio_transcription_state", "audioTranscriptionState");
+
+  const data = useDeepMemo(
+    payload ? (JSON.parse(payload as string) as string) : "idle",
+  );
+
+  useEffect(() => {
+    let listener = undefined;
+    if (revalidateOnFocus) {
+      sendCommand("audioTranscriptionState");
+      listener = () => {
+        if (document.visibilityState == "visible") {
+          sendCommand("audioTranscriptionState");
+        }
+      };
+      addEventListener("visibilitychange", listener);
+    }
+    return () => {
+      if (listener) {
+        removeEventListener("visibilitychange", listener);
+      }
+    };
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [revalidateOnFocus]);
+
+  return { payload: data || "idle" };
+}
+
 export function useBirdseyeLayout(revalidateOnFocus: boolean = true): {
   payload: string;
 } {
diff --git a/web/src/components/Statusbar.tsx b/web/src/components/Statusbar.tsx
index 0ac6d10a4..ab22a1143 100644
--- a/web/src/components/Statusbar.tsx
+++ b/web/src/components/Statusbar.tsx
@@ -116,10 +116,10 @@ export default function Statusbar() {
           }
 
           return (
-            <Link key={gpuTitle} to="/system#general">
+            <Link key={name} to="/system#general">
               {" "}
               <div
-                key={gpuTitle}
+                key={name}
                 className="flex cursor-pointer items-center gap-2 text-sm hover:underline"
               >
                 <MdCircle
diff --git a/web/src/components/auth/AuthForm.tsx b/web/src/components/auth/AuthForm.tsx
index 12e8f777e..8798b5d00 100644
--- a/web/src/components/auth/AuthForm.tsx
+++ b/web/src/components/auth/AuthForm.tsx
@@ -22,14 +22,24 @@ import { zodResolver } from "@hookform/resolvers/zod";
 import { z } from "zod";
 import { AuthContext } from "@/context/auth-context";
 import { useTranslation } from "react-i18next";
+import useSWR from "swr";
+import { LuExternalLink } from "react-icons/lu";
+import { useDocDomain } from "@/hooks/use-doc-domain";
+import { Card, CardContent } from "@/components/ui/card";
 
 interface UserAuthFormProps extends React.HTMLAttributes<HTMLDivElement> {}
 
 export function UserAuthForm({ className, ...props }: UserAuthFormProps) {
-  const { t } = useTranslation(["components/auth"]);
+  const { t } = useTranslation(["components/auth", "common"]);
+  const { getLocaleDocUrl } = useDocDomain();
   const [isLoading, setIsLoading] = React.useState<boolean>(false);
   const { login } = React.useContext(AuthContext);
 
+  // need to use local fetcher because useSWR default fetcher is not set up in this context
+  const fetcher = (path: string) => axios.get(path).then((res) => res.data);
+  const { data } = useSWR("/auth/first_time_login", fetcher);
+  const showFirstTimeLink = data?.admin_first_time_login === true;
+
   const formSchema = z.object({
     user: z.string().min(1, t("form.errors.usernameRequired")),
     password: z.string().min(1, t("form.errors.passwordRequired")),
@@ -136,6 +146,24 @@ export function UserAuthForm({ className, ...props }: UserAuthFormProps) {
           </div>
         </form>
       </Form>
+      {showFirstTimeLink && (
+        <Card className="mt-4 p-4 text-center text-sm">
+          <CardContent className="p-2">
+            <p className="mb-2 text-primary-variant">
+              {t("form.firstTimeLogin")}
+            </p>
+            <a
+              href={getLocaleDocUrl("configuration/authentication#onboarding")}
+              target="_blank"
+              rel="noopener noreferrer"
+              className="inline-flex items-center text-primary"
+            >
+              {t("readTheDocumentation", { ns: "common" })}
+              <LuExternalLink className="ml-2 size-3" />
+            </a>
+          </CardContent>
+        </Card>
+      )}
       <Toaster />
     </div>
   );
diff --git a/web/src/components/auth/ProtectedRoute.tsx b/web/src/components/auth/ProtectedRoute.tsx
index 18dc50d53..cedf5a15a 100644
--- a/web/src/components/auth/ProtectedRoute.tsx
+++ b/web/src/components/auth/ProtectedRoute.tsx
@@ -1,7 +1,11 @@
-import { useContext } from "react";
+import { useContext, useEffect } from "react";
 import { Navigate, Outlet } from "react-router-dom";
 import { AuthContext } from "@/context/auth-context";
 import ActivityIndicator from "../indicators/activity-indicator";
+import {
+  isRedirectingToLogin,
+  setRedirectingToLogin,
+} from "@/api/auth-redirect";
 
 export default function ProtectedRoute({
   requiredRoles,
@@ -10,6 +14,28 @@ export default function ProtectedRoute({
 }) {
   const { auth } = useContext(AuthContext);
 
+  // Redirect to login page when not authenticated
+  // don't use <Navigate> because we need a full page load to reset state
+  useEffect(() => {
+    if (
+      !auth.isLoading &&
+      auth.isAuthenticated &&
+      !auth.user &&
+      !isRedirectingToLogin()
+    ) {
+      setRedirectingToLogin(true);
+      window.location.href = "/login";
+    }
+  }, [auth.isLoading, auth.isAuthenticated, auth.user]);
+
+  // Show loading indicator during redirect to prevent React from attempting to render
+  // lazy components, which would cause error #426 (suspension during synchronous navigation)
+  if (isRedirectingToLogin()) {
+    return (
+      <ActivityIndicator className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2" />
+    );
+  }
+
   if (auth.isLoading) {
     return (
       <ActivityIndicator className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2" />
@@ -23,7 +49,9 @@ export default function ProtectedRoute({
 
   // Authenticated mode (8971): require login
   if (!auth.user) {
-    return <Navigate to="/login" replace />;
+    return (
+      <ActivityIndicator className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2" />
+    );
   }
 
   // If role is null (shouldn’t happen if isAuthenticated, but type safety), fallback
diff --git a/web/src/components/button/BlurredIconButton.tsx b/web/src/components/button/BlurredIconButton.tsx
new file mode 100644
index 000000000..8fe17f869
--- /dev/null
+++ b/web/src/components/button/BlurredIconButton.tsx
@@ -0,0 +1,28 @@
+import React, { forwardRef } from "react";
+import { cn } from "@/lib/utils";
+
+type BlurredIconButtonProps = React.HTMLAttributes<HTMLDivElement>;
+
+const BlurredIconButton = forwardRef<HTMLDivElement, BlurredIconButtonProps>(
+  ({ className = "", children, ...rest }, ref) => {
+    return (
+      <div
+        ref={ref}
+        className={cn(
+          "group relative inline-flex items-center justify-center",
+          className,
+        )}
+        {...rest}
+      >
+        <div className="pointer-events-none absolute inset-0 m-auto size-5 scale-95 rounded-full bg-black opacity-0 blur-sm transition-all duration-200 group-hover:scale-100 group-hover:opacity-100 group-hover:blur-xl" />
+        <div className="relative z-10 cursor-pointer text-white/85 hover:text-white">
+          {children}
+        </div>
+      </div>
+    );
+  },
+);
+
+BlurredIconButton.displayName = "BlurredIconButton";
+
+export default BlurredIconButton;
diff --git a/web/src/components/camera/DebugCameraImage.tsx b/web/src/components/camera/DebugCameraImage.tsx
index bc3b6a8c3..924eb86a5 100644
--- a/web/src/components/camera/DebugCameraImage.tsx
+++ b/web/src/components/camera/DebugCameraImage.tsx
@@ -5,7 +5,7 @@ import { Button } from "../ui/button";
 import { LuSettings } from "react-icons/lu";
 import { useCallback, useMemo, useState } from "react";
 import { Card, CardContent, CardHeader, CardTitle } from "../ui/card";
-import { usePersistence } from "@/hooks/use-persistence";
+import { useUserPersistence } from "@/hooks/use-user-persistence";
 import AutoUpdatingCameraImage from "./AutoUpdatingCameraImage";
 import { useTranslation } from "react-i18next";
 
@@ -24,7 +24,7 @@ export default function DebugCameraImage({
 }: DebugCameraImageProps) {
   const { t } = useTranslation(["components/camera"]);
   const [showSettings, setShowSettings] = useState(false);
-  const [options, setOptions] = usePersistence<Options>(
+  const [options, setOptions] = useUserPersistence<Options>(
     `${cameraConfig?.name}-feed`,
     emptyObject,
   );
diff --git a/web/src/components/camera/CameraNameLabel.tsx b/web/src/components/camera/FriendlyNameLabel.tsx
similarity index 53%
rename from web/src/components/camera/CameraNameLabel.tsx
rename to web/src/components/camera/FriendlyNameLabel.tsx
index ab022f5c8..ca0978852 100644
--- a/web/src/components/camera/CameraNameLabel.tsx
+++ b/web/src/components/camera/FriendlyNameLabel.tsx
@@ -2,12 +2,19 @@ import * as React from "react";
 import * as LabelPrimitive from "@radix-ui/react-label";
 import { useCameraFriendlyName } from "@/hooks/use-camera-friendly-name";
 import { CameraConfig } from "@/types/frigateConfig";
+import { useZoneFriendlyName } from "@/hooks/use-zone-friendly-name";
 
 interface CameraNameLabelProps
   extends React.ComponentPropsWithoutRef<typeof LabelPrimitive.Root> {
   camera?: string | CameraConfig;
 }
 
+interface ZoneNameLabelProps
+  extends React.ComponentPropsWithoutRef<typeof LabelPrimitive.Root> {
+  zone: string;
+  camera?: string;
+}
+
 const CameraNameLabel = React.forwardRef<
   React.ElementRef<typeof LabelPrimitive.Root>,
   CameraNameLabelProps
@@ -21,4 +28,17 @@ const CameraNameLabel = React.forwardRef<
 });
 CameraNameLabel.displayName = LabelPrimitive.Root.displayName;
 
-export { CameraNameLabel };
+const ZoneNameLabel = React.forwardRef<
+  React.ElementRef<typeof LabelPrimitive.Root>,
+  ZoneNameLabelProps
+>(({ className, zone, camera, ...props }, ref) => {
+  const displayName = useZoneFriendlyName(zone, camera);
+  return (
+    <LabelPrimitive.Root ref={ref} className={className} {...props}>
+      {displayName}
+    </LabelPrimitive.Root>
+  );
+});
+ZoneNameLabel.displayName = LabelPrimitive.Root.displayName;
+
+export { CameraNameLabel, ZoneNameLabel };
diff --git a/web/src/components/card/AnimatedEventCard.tsx b/web/src/components/card/AnimatedEventCard.tsx
index 20d39efe2..a67dd8305 100644
--- a/web/src/components/card/AnimatedEventCard.tsx
+++ b/web/src/components/card/AnimatedEventCard.tsx
@@ -13,7 +13,7 @@ import { baseUrl } from "@/api/baseUrl";
 import { VideoPreview } from "../preview/ScrubbablePreview";
 import { useApiHost } from "@/api";
 import { isDesktop, isSafari } from "react-device-detect";
-import { usePersistence } from "@/hooks/use-persistence";
+import { useUserPersistence } from "@/hooks/use-user-persistence";
 import { Skeleton } from "../ui/skeleton";
 import { Button } from "../ui/button";
 import { FaCircleCheck } from "react-icons/fa6";
@@ -112,7 +112,7 @@ export function AnimatedEventCard({
 
   // image behavior
 
-  const [alertVideos, _, alertVideosLoaded] = usePersistence(
+  const [alertVideos, _, alertVideosLoaded] = useUserPersistence(
     "alertVideos",
     true,
   );
@@ -145,7 +145,7 @@ export function AnimatedEventCard({
             <Tooltip>
               <TooltipTrigger asChild>
                 <Button
-                  className="absolute right-2 top-1 z-40 bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500"
+                  className="absolute left-2 top-1 z-40 bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500"
                   size="xs"
                   aria-label={t("markAsReviewed")}
                   onClick={async () => {
diff --git a/web/src/components/card/ClassificationCard.tsx b/web/src/components/card/ClassificationCard.tsx
index 5153b6d71..6581d109a 100644
--- a/web/src/components/card/ClassificationCard.tsx
+++ b/web/src/components/card/ClassificationCard.tsx
@@ -4,17 +4,35 @@ import { cn } from "@/lib/utils";
 import {
   ClassificationItemData,
   ClassificationThreshold,
+  ClassifiedEvent,
 } from "@/types/classification";
-import { Event } from "@/types/event";
-import { useMemo, useRef, useState } from "react";
-import { isDesktop, isMobile } from "react-device-detect";
+import { forwardRef, useMemo, useRef, useState } from "react";
+import { isDesktop, isIOS, isMobile, isMobileOnly } from "react-device-detect";
 import { useTranslation } from "react-i18next";
 import TimeAgo from "../dynamic/TimeAgo";
 import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
-import { LuSearch } from "react-icons/lu";
+import { Popover, PopoverContent, PopoverTrigger } from "../ui/popover";
+import { LuSearch, LuInfo } from "react-icons/lu";
 import { TooltipPortal } from "@radix-ui/react-tooltip";
 import { useNavigate } from "react-router-dom";
-import { getTranslatedLabel } from "@/utils/i18n";
+import { HiSquare2Stack } from "react-icons/hi2";
+import { ImageShadowOverlay } from "../overlay/ImageShadowOverlay";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogHeader,
+  DialogTitle,
+  DialogTrigger,
+} from "../ui/dialog";
+import {
+  MobilePage,
+  MobilePageContent,
+  MobilePageDescription,
+  MobilePageHeader,
+  MobilePageTitle,
+  MobilePageTrigger,
+} from "../mobile/MobilePage";
 
 type ClassificationCardProps = {
   className?: string;
@@ -22,22 +40,32 @@ type ClassificationCardProps = {
   data: ClassificationItemData;
   threshold?: ClassificationThreshold;
   selected: boolean;
+  clickable: boolean;
   i18nLibrary: string;
   showArea?: boolean;
+  count?: number;
   onClick: (data: ClassificationItemData, meta: boolean) => void;
   children?: React.ReactNode;
 };
-export function ClassificationCard({
-  className,
-  imgClassName,
-  data,
-  threshold,
-  selected,
-  i18nLibrary,
-  showArea = true,
-  onClick,
-  children,
-}: ClassificationCardProps) {
+export const ClassificationCard = forwardRef<
+  HTMLDivElement,
+  ClassificationCardProps
+>(function ClassificationCard(
+  {
+    className,
+    imgClassName,
+    data,
+    threshold,
+    selected,
+    clickable,
+    i18nLibrary,
+    showArea = true,
+    count,
+    onClick,
+    children,
+  },
+  ref,
+) {
   const { t } = useTranslation([i18nLibrary]);
   const [imageLoaded, setImageLoaded] = useState(false);
 
@@ -72,93 +100,168 @@ export function ClassificationCard({
   }, [showArea, imageLoaded]);
 
   return (
-    <>
-      <div
+    <div
+      ref={ref}
+      className={cn(
+        "relative flex size-full flex-col overflow-hidden rounded-lg outline outline-[3px]",
+        className,
+        selected
+          ? "shadow-selected outline-selected"
+          : "outline-transparent duration-500",
+        clickable && "cursor-pointer",
+      )}
+      onClick={(e) => {
+        const isMeta = e.metaKey || e.ctrlKey;
+        if (isMeta) {
+          e.stopPropagation();
+        }
+        onClick(data, isMeta);
+      }}
+      onContextMenu={(e) => {
+        e.preventDefault();
+        e.stopPropagation();
+        onClick(data, true);
+      }}
+    >
+      <img
+        ref={imgRef}
         className={cn(
-          "relative flex cursor-pointer flex-col rounded-lg outline outline-[3px]",
-          className,
-          selected
-            ? "shadow-selected outline-selected"
-            : "outline-transparent duration-500",
+          "absolute bottom-0 left-0 right-0 top-0 size-full",
+          imgClassName,
+          isMobile && "w-full",
         )}
-      >
-        <div className="relative w-full select-none overflow-hidden rounded-lg">
-          <img
-            ref={imgRef}
-            onLoad={() => setImageLoaded(true)}
-            className={cn("size-44", imgClassName, isMobile && "w-full")}
-            src={`${baseUrl}${data.filepath}`}
-            onClick={(e) => {
-              e.stopPropagation();
-              onClick(data, e.metaKey || e.ctrlKey);
-            }}
-          />
-          {imageArea != undefined && (
-            <div className="absolute bottom-1 right-1 z-10 rounded-lg bg-black/50 px-2 py-1 text-xs text-white">
-              {t("information.pixels", { ns: "common", area: imageArea })}
+        style={
+          isIOS
+            ? {
+                WebkitUserSelect: "none",
+                WebkitTouchCallout: "none",
+              }
+            : undefined
+        }
+        draggable={false}
+        loading="lazy"
+        onLoad={() => setImageLoaded(true)}
+        src={`${baseUrl}${data.filepath}`}
+      />
+      <ImageShadowOverlay upperClassName="z-0" lowerClassName="h-[30%] z-0" />
+      {count && (
+        <div className="absolute right-2 top-2 flex flex-row items-center gap-1">
+          <div className="text-gray-200">{count}</div>{" "}
+          <HiSquare2Stack className="text-gray-200" />
+        </div>
+      )}
+      {!count && imageArea != undefined && (
+        <div className="absolute right-1 top-1 rounded-lg bg-black/50 px-2 py-1 text-xs text-white">
+          {t("information.pixels", { ns: "common", area: imageArea })}
+        </div>
+      )}
+      <div className="absolute bottom-0 left-0 right-0 h-[50%] bg-gradient-to-t from-black/60 to-transparent" />
+      <div className="absolute bottom-0 flex w-full select-none flex-row items-center justify-between gap-2 p-2">
+        <div
+          className={cn(
+            "flex flex-col items-start text-white",
+            data.score != undefined ? "text-xs" : "text-sm",
+          )}
+        >
+          <div className="break-all smart-capitalize">
+            {data.name.toLowerCase() == "unknown"
+              ? t("details.unknown")
+              : data.name.toLowerCase() == "none"
+                ? t("details.none")
+                : data.name}
+          </div>
+          {data.score != undefined && (
+            <div
+              className={cn(
+                "",
+                scoreStatus == "match" && "text-success",
+                scoreStatus == "potential" && "text-orange-400",
+                scoreStatus == "unknown" && "text-danger",
+              )}
+            >
+              {Math.round(data.score * 100)}%
             </div>
           )}
         </div>
-        <div className="select-none p-2">
-          <div className="flex w-full flex-row items-center justify-between gap-2">
-            <div className="flex flex-col items-start text-xs text-primary-variant">
-              <div className="smart-capitalize">
-                {data.name == "unknown" ? t("details.unknown") : data.name}
-              </div>
-              {data.score && (
-                <div
-                  className={cn(
-                    "",
-                    scoreStatus == "match" && "text-success",
-                    scoreStatus == "potential" && "text-orange-400",
-                    scoreStatus == "unknown" && "text-danger",
-                  )}
-                >
-                  {Math.round(data.score * 100)}%
-                </div>
-              )}
-            </div>
-            <div className="flex flex-row items-start justify-end gap-5 md:gap-4">
-              {children}
-            </div>
-          </div>
+        <div className="flex flex-row items-start justify-end gap-5 md:gap-2">
+          {children}
         </div>
       </div>
-    </>
+    </div>
   );
-}
+});
 
 type GroupedClassificationCardProps = {
   group: ClassificationItemData[];
-  event?: Event;
+  classifiedEvent?: ClassifiedEvent;
   threshold?: ClassificationThreshold;
   selectedItems: string[];
   i18nLibrary: string;
   objectType: string;
+  noClassificationLabel?: string;
   onClick: (data: ClassificationItemData | undefined) => void;
-  onSelectEvent: (event: Event) => void;
   children?: (data: ClassificationItemData) => React.ReactNode;
 };
 export function GroupedClassificationCard({
   group,
-  event,
+  classifiedEvent,
   threshold,
   selectedItems,
   i18nLibrary,
-  objectType,
+  noClassificationLabel = "details.none",
   onClick,
-  onSelectEvent,
   children,
 }: GroupedClassificationCardProps) {
   const navigate = useNavigate();
   const { t } = useTranslation(["views/explore", i18nLibrary]);
+  const [detailOpen, setDetailOpen] = useState(false);
 
   // data
 
-  const allItemsSelected = useMemo(
-    () => group.every((data) => selectedItems.includes(data.filename)),
-    [group, selectedItems],
-  );
+  const bestItem = useMemo<ClassificationItemData | undefined>(() => {
+    let best: undefined | ClassificationItemData = undefined;
+
+    group.forEach((item) => {
+      if (item?.name != undefined && item.name != "none") {
+        if (
+          best?.score == undefined ||
+          (item.score && best.score < item.score)
+        ) {
+          best = item;
+        }
+      }
+    });
+
+    if (!best) {
+      best = group.at(-1)!;
+    }
+
+    const bestTyped: ClassificationItemData = best;
+    return {
+      ...bestTyped,
+      name:
+        classifiedEvent?.label && classifiedEvent.label !== "none"
+          ? classifiedEvent.label
+          : classifiedEvent
+            ? t(noClassificationLabel)
+            : bestTyped.name,
+      score: classifiedEvent?.score,
+    };
+  }, [group, classifiedEvent, noClassificationLabel, t]);
+
+  const bestScoreStatus = useMemo(() => {
+    if (!bestItem?.score || !threshold) {
+      return "unknown";
+    }
+
+    if (bestItem.score >= threshold.recognition) {
+      return "match";
+    } else if (bestItem.score >= threshold.unknown) {
+      return "potential";
+    } else {
+      return "unknown";
+    }
+  }, [bestItem, threshold]);
 
   const time = useMemo(() => {
     const item = group[0];
@@ -170,94 +273,166 @@ export function GroupedClassificationCard({
     return item.timestamp * 1000;
   }, [group]);
 
-  return (
-    <div
-      className={cn(
-        "flex cursor-pointer flex-col gap-2 rounded-lg bg-card p-2 outline outline-[3px]",
-        isMobile && "w-full",
-        allItemsSelected
-          ? "shadow-selected outline-selected"
-          : "outline-transparent duration-500",
-      )}
-      onClick={() => {
-        if (selectedItems.length) {
-          onClick(undefined);
-        }
-      }}
-      onContextMenu={(e) => {
-        e.stopPropagation();
-        e.preventDefault();
-        onClick(undefined);
-      }}
-    >
-      <div className="flex flex-row justify-between">
-        <div className="flex flex-col gap-1">
-          <div className="select-none smart-capitalize">
-            {getTranslatedLabel(objectType)}
-            {event?.sub_label
-              ? `: ${event.sub_label} (${Math.round((event.data.sub_label_score || 0) * 100)}%)`
-              : ": " + t("details.unknown")}
-          </div>
-          {time && (
-            <TimeAgo
-              className="text-sm text-secondary-foreground"
-              time={time}
-              dense
-            />
-          )}
-        </div>
-        {event && (
-          <Tooltip>
-            <TooltipTrigger>
-              <div
-                className="cursor-pointer"
-                onClick={() => {
-                  navigate(`/explore?event_id=${event.id}`);
-                }}
-              >
-                <LuSearch className="size-4 text-muted-foreground" />
-              </div>
-            </TooltipTrigger>
-            <TooltipPortal>
-              <TooltipContent>
-                {t("details.item.button.viewInExplore", {
-                  ns: "views/explore",
-                })}
-              </TooltipContent>
-            </TooltipPortal>
-          </Tooltip>
-        )}
-      </div>
+  if (!bestItem) {
+    return null;
+  }
 
-      <div
-        className={cn(
-          "gap-2",
-          isDesktop
-            ? "flex flex-row flex-wrap"
-            : "grid grid-cols-2 sm:grid-cols-5 lg:grid-cols-6",
-        )}
+  const Overlay = isDesktop ? Dialog : MobilePage;
+  const Trigger = isDesktop ? DialogTrigger : MobilePageTrigger;
+  const Content = isDesktop ? DialogContent : MobilePageContent;
+  const Header = isDesktop ? DialogHeader : MobilePageHeader;
+  const ContentTitle = isDesktop ? DialogTitle : MobilePageTitle;
+  const ContentDescription = isDesktop
+    ? DialogDescription
+    : MobilePageDescription;
+
+  return (
+    <>
+      <ClassificationCard
+        data={bestItem}
+        threshold={threshold}
+        selected={selectedItems.includes(bestItem.filename)}
+        clickable={true}
+        i18nLibrary={i18nLibrary}
+        count={group.length}
+        onClick={(_, meta) => {
+          if (meta || selectedItems.length > 0) {
+            onClick(undefined);
+          } else {
+            setDetailOpen(true);
+          }
+        }}
+      />
+      <Overlay
+        open={detailOpen}
+        onOpenChange={(open) => {
+          if (!open) {
+            setDetailOpen(false);
+          }
+        }}
       >
-        {group.map((data: ClassificationItemData) => (
-          <ClassificationCard
-            key={data.filename}
-            data={data}
-            threshold={threshold}
-            selected={
-              allItemsSelected ? false : selectedItems.includes(data.filename)
-            }
-            i18nLibrary={i18nLibrary}
-            onClick={(data, meta) => {
-              if (meta || selectedItems.length > 0) {
-                onClick(data);
-              } else if (event) {
-                onSelectEvent(event);
-              }
-            }}
-          >
-            {children?.(data)}
-          </ClassificationCard>
-        ))}
-      </div>
-    </div>
+        <Trigger asChild></Trigger>
+        <Content
+          className={cn(
+            "scrollbar-container",
+            isDesktop && "min-w-[50%] max-w-[65%]",
+            isMobile && "overflow-y-auto",
+          )}
+          onOpenAutoFocus={(e) => e.preventDefault()}
+        >
+          <>
+            <Header
+              className={cn(
+                "mx-2 flex flex-row items-center gap-4",
+                isMobileOnly && "top-0 mx-4",
+              )}
+            >
+              <div
+                className={cn(
+                  "",
+                  isMobile && "flex flex-col items-center justify-center",
+                )}
+              >
+                <ContentTitle className="flex items-center gap-2 font-normal capitalize">
+                  {classifiedEvent?.label && classifiedEvent.label !== "none"
+                    ? classifiedEvent.label
+                    : t(noClassificationLabel, { ns: i18nLibrary })}
+                  {classifiedEvent?.label &&
+                    classifiedEvent.label !== "none" &&
+                    classifiedEvent.score !== undefined && (
+                      <div className="flex items-center gap-1">
+                        <div
+                          className={cn(
+                            "",
+                            bestScoreStatus == "match" && "text-success",
+                            bestScoreStatus == "potential" && "text-orange-400",
+                            bestScoreStatus == "unknown" && "text-danger",
+                          )}
+                        >{`${Math.round((classifiedEvent.score || 0) * 100)}%`}</div>
+                        <Popover>
+                          <PopoverTrigger asChild>
+                            <button
+                              className="focus:outline-none"
+                              aria-label={t("details.scoreInfo", {
+                                ns: i18nLibrary,
+                              })}
+                            >
+                              <LuInfo className="size-3" />
+                            </button>
+                          </PopoverTrigger>
+                          <PopoverContent className="w-80 text-sm">
+                            {t("details.scoreInfo", { ns: i18nLibrary })}
+                          </PopoverContent>
+                        </Popover>
+                      </div>
+                    )}
+                </ContentTitle>
+                <ContentDescription className={cn("", isMobile && "px-2")}>
+                  {time && (
+                    <TimeAgo
+                      className="text-sm text-secondary-foreground"
+                      time={time}
+                      dense
+                    />
+                  )}
+                </ContentDescription>
+              </div>
+              {classifiedEvent && (
+                <div
+                  className={cn(
+                    "flex",
+                    isDesktop && "flex-row justify-between",
+                    isMobile && "absolute right-4 top-8",
+                  )}
+                >
+                  <Tooltip>
+                    <TooltipTrigger asChild>
+                      <div
+                        className="cursor-pointer"
+                        tabIndex={-1}
+                        onClick={() => {
+                          navigate(`/explore?event_id=${classifiedEvent.id}`);
+                        }}
+                      >
+                        <LuSearch className="size-4 text-secondary-foreground" />
+                      </div>
+                    </TooltipTrigger>
+                    <TooltipPortal>
+                      <TooltipContent>
+                        {t("details.item.button.viewInExplore", {
+                          ns: "views/explore",
+                        })}
+                      </TooltipContent>
+                    </TooltipPortal>
+                  </Tooltip>
+                </div>
+              )}
+            </Header>
+            <div
+              className={cn(
+                "grid w-full auto-rows-min grid-cols-2 gap-2 sm:grid-cols-3 md:grid-cols-4 lg:grid-cols-6 xl:grid-cols-6 2xl:grid-cols-8",
+                isDesktop && "p-2",
+                isMobile && "px-4 pb-4",
+              )}
+            >
+              {group.map((data: ClassificationItemData) => (
+                <div key={data.filename} className="aspect-square w-full">
+                  <ClassificationCard
+                    data={data}
+                    threshold={threshold}
+                    selected={false}
+                    clickable={false}
+                    i18nLibrary={i18nLibrary}
+                    onClick={() => {}}
+                  >
+                    {children?.(data)}
+                  </ClassificationCard>
+                </div>
+              ))}
+            </div>
+          </>
+        </Content>
+      </Overlay>
+    </>
   );
 }
diff --git a/web/src/components/card/EmptyCard.tsx b/web/src/components/card/EmptyCard.tsx
index 671262994..b9943b31a 100644
--- a/web/src/components/card/EmptyCard.tsx
+++ b/web/src/components/card/EmptyCard.tsx
@@ -1,27 +1,47 @@
 import React from "react";
 import { Button } from "../ui/button";
 import Heading from "../ui/heading";
+import { Link } from "react-router-dom";
+import { cn } from "@/lib/utils";
 
 type EmptyCardProps = {
+  className?: string;
   icon: React.ReactNode;
   title: string;
-  description: string;
+  titleHeading?: boolean;
+  description?: string;
   buttonText?: string;
+  link?: string;
 };
 export function EmptyCard({
+  className,
   icon,
   title,
+  titleHeading = true,
   description,
   buttonText,
+  link,
 }: EmptyCardProps) {
+  let TitleComponent;
+
+  if (titleHeading) {
+    TitleComponent = <Heading as="h4">{title}</Heading>;
+  } else {
+    TitleComponent = <div>{title}</div>;
+  }
+
   return (
-    <div className="flex flex-col items-center gap-2">
+    <div className={cn("flex flex-col items-center gap-2", className)}>
       {icon}
-      <Heading as="h4">{title}</Heading>
-      <div className="text-secondary-foreground">{description}</div>
+      {TitleComponent}
+      {description && (
+        <div className="mb-3 text-center text-secondary-foreground">
+          {description}
+        </div>
+      )}
       {buttonText?.length && (
         <Button size="sm" variant="select">
-          {buttonText}
+          <Link to={link ?? "#"}>{buttonText}</Link>
         </Button>
       )}
     </div>
diff --git a/web/src/components/card/ExportCard.tsx b/web/src/components/card/ExportCard.tsx
index cf0685caa..021524532 100644
--- a/web/src/components/card/ExportCard.tsx
+++ b/web/src/components/card/ExportCard.tsx
@@ -4,7 +4,6 @@ import { Button } from "../ui/button";
 import { useCallback, useState } from "react";
 import { isDesktop, isMobile } from "react-device-detect";
 import { FaDownload, FaPlay, FaShareAlt } from "react-icons/fa";
-import Chip from "../indicators/Chip";
 import { Skeleton } from "../ui/skeleton";
 import {
   Dialog,
@@ -21,6 +20,10 @@ import { baseUrl } from "@/api/baseUrl";
 import { cn } from "@/lib/utils";
 import { shareOrCopy } from "@/utils/browserUtil";
 import { useTranslation } from "react-i18next";
+import { ImageShadowOverlay } from "../overlay/ImageShadowOverlay";
+import BlurredIconButton from "../button/BlurredIconButton";
+import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
+import { useIsAdmin } from "@/hooks/use-is-admin";
 
 type ExportProps = {
   className: string;
@@ -38,6 +41,7 @@ export default function ExportCard({
   onDelete,
 }: ExportProps) {
   const { t } = useTranslation(["views/exports"]);
+  const isAdmin = useIsAdmin();
   const [hovered, setHovered] = useState(false);
   const [loading, setLoading] = useState(
     exportedRecording.thumb_path.length > 0,
@@ -145,7 +149,7 @@ export default function ExportCard({
           <>
             {exportedRecording.thumb_path.length > 0 ? (
               <img
-                className="absolute inset-0 aspect-video size-full rounded-lg object-contain md:rounded-2xl"
+                className="absolute inset-0 aspect-video size-full rounded-lg object-cover md:rounded-2xl"
                 src={`${baseUrl}${exportedRecording.thumb_path.replace("/media/frigate/", "")}`}
                 onLoad={() => setLoading(false)}
               />
@@ -155,56 +159,79 @@ export default function ExportCard({
           </>
         )}
         {hovered && (
-          <div>
+          <>
             <div className="absolute inset-0 rounded-lg bg-black bg-opacity-60 md:rounded-2xl" />
-            <div className="absolute right-1 top-1 flex items-center gap-2">
-              {!exportedRecording.in_progress && (
-                <Chip
-                  className="cursor-pointer rounded-md bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500"
-                  onClick={() =>
-                    shareOrCopy(
-                      `${baseUrl}export?id=${exportedRecording.id}`,
-                      exportedRecording.name.replaceAll("_", " "),
-                    )
-                  }
-                >
-                  <FaShareAlt className="size-4 text-white" />
-                </Chip>
-              )}
-              {!exportedRecording.in_progress && (
-                <a
-                  download
-                  href={`${baseUrl}${exportedRecording.video_path.replace("/media/frigate/", "")}`}
-                >
-                  <Chip className="cursor-pointer rounded-md bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500">
-                    <FaDownload className="size-4 text-white" />
-                  </Chip>
-                </a>
-              )}
-              {!exportedRecording.in_progress && (
-                <Chip
-                  className="cursor-pointer rounded-md bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500"
-                  onClick={() =>
-                    setEditName({
-                      original: exportedRecording.name,
-                      update: undefined,
-                    })
-                  }
-                >
-                  <MdEditSquare className="size-4 text-white" />
-                </Chip>
-              )}
-              <Chip
-                className="cursor-pointer rounded-md bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500"
-                onClick={() =>
-                  onDelete({
-                    file: exportedRecording.id,
-                    exportName: exportedRecording.name,
-                  })
-                }
-              >
-                <LuTrash className="size-4 fill-destructive text-destructive" />
-              </Chip>
+            <div className="absolute right-3 top-2">
+              <div className="flex items-center justify-center gap-4">
+                {!exportedRecording.in_progress && (
+                  <Tooltip>
+                    <TooltipTrigger asChild>
+                      <BlurredIconButton
+                        onClick={() =>
+                          shareOrCopy(
+                            `${baseUrl}export?id=${exportedRecording.id}`,
+                            exportedRecording.name.replaceAll("_", " "),
+                          )
+                        }
+                      >
+                        <FaShareAlt className="size-4" />
+                      </BlurredIconButton>
+                    </TooltipTrigger>
+                    <TooltipContent>{t("tooltip.shareExport")}</TooltipContent>
+                  </Tooltip>
+                )}
+                {!exportedRecording.in_progress && (
+                  <a
+                    download
+                    href={`${baseUrl}${exportedRecording.video_path.replace("/media/frigate/", "")}`}
+                  >
+                    <Tooltip>
+                      <TooltipTrigger asChild>
+                        <BlurredIconButton>
+                          <FaDownload className="size-4" />
+                        </BlurredIconButton>
+                      </TooltipTrigger>
+                      <TooltipContent>
+                        {t("tooltip.downloadVideo")}
+                      </TooltipContent>
+                    </Tooltip>
+                  </a>
+                )}
+                {isAdmin && !exportedRecording.in_progress && (
+                  <Tooltip>
+                    <TooltipTrigger asChild>
+                      <BlurredIconButton
+                        onClick={() =>
+                          setEditName({
+                            original: exportedRecording.name,
+                            update: undefined,
+                          })
+                        }
+                      >
+                        <MdEditSquare className="size-4" />
+                      </BlurredIconButton>
+                    </TooltipTrigger>
+                    <TooltipContent>{t("tooltip.editName")}</TooltipContent>
+                  </Tooltip>
+                )}
+                {isAdmin && (
+                  <Tooltip>
+                    <TooltipTrigger asChild>
+                      <BlurredIconButton
+                        onClick={() =>
+                          onDelete({
+                            file: exportedRecording.id,
+                            exportName: exportedRecording.name,
+                          })
+                        }
+                      >
+                        <LuTrash className="size-4 fill-destructive text-destructive hover:text-white" />
+                      </BlurredIconButton>
+                    </TooltipTrigger>
+                    <TooltipContent>{t("tooltip.deleteExport")}</TooltipContent>
+                  </Tooltip>
+                )}
+              </div>
             </div>
 
             {!exportedRecording.in_progress && (
@@ -219,15 +246,14 @@ export default function ExportCard({
                 <FaPlay />
               </Button>
             )}
-          </div>
+          </>
         )}
         {loading && (
           <Skeleton className="absolute inset-0 aspect-video rounded-lg md:rounded-2xl" />
         )}
-        <div className="rounded-b-l pointer-events-none absolute inset-x-0 bottom-0 h-[20%] rounded-lg bg-gradient-to-t from-black/60 to-transparent md:rounded-2xl">
-          <div className="mx-3 flex h-full items-end justify-between pb-1 text-sm text-white smart-capitalize">
-            {exportedRecording.name.replaceAll("_", " ")}
-          </div>
+        <ImageShadowOverlay />
+        <div className="absolute bottom-2 left-3 flex items-end text-white smart-capitalize">
+          {exportedRecording.name.replaceAll("_", " ")}
         </div>
       </div>
     </>
diff --git a/web/src/components/card/ReviewCard.tsx b/web/src/components/card/ReviewCard.tsx
index b1e7a7b57..b5ba5cfea 100644
--- a/web/src/components/card/ReviewCard.tsx
+++ b/web/src/components/card/ReviewCard.tsx
@@ -34,9 +34,12 @@ import { toast } from "sonner";
 import useKeyboardListener from "@/hooks/use-keyboard-listener";
 import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
 import { capitalizeFirstLetter } from "@/utils/stringUtil";
-import { buttonVariants } from "../ui/button";
+import { Button, buttonVariants } from "../ui/button";
 import { Trans, useTranslation } from "react-i18next";
 import { cn } from "@/lib/utils";
+import { LuCircle } from "react-icons/lu";
+import { MdAutoAwesome } from "react-icons/md";
+import { GenAISummaryDialog } from "../overlay/chip/GenAISummaryChip";
 
 type ReviewCardProps = {
   event: ReviewSegment;
@@ -83,6 +86,11 @@ export default function ReviewCard({
         if (response.status == 200) {
           toast.success(t("export.toast.success"), {
             position: "top-center",
+            action: (
+              <a href="/export" target="_blank" rel="noopener noreferrer">
+                <Button>{t("export.toast.view")}</Button>
+              </a>
+            ),
           });
         }
       })
@@ -137,7 +145,7 @@ export default function ReviewCard({
         className={cn(
           "size-full rounded-lg",
           activeReviewItem?.id == event.id &&
-            "outline outline-[3px] outline-offset-1 outline-selected",
+            "outline outline-[3px] -outline-offset-[2.8px] outline-selected duration-200",
           imgLoaded ? "visible" : "invisible",
         )}
         src={`${baseUrl}${event.thumb_path.replace("/media/frigate/", "")}`}
@@ -158,21 +166,33 @@ export default function ReviewCard({
       <div className="flex items-center justify-between">
         <Tooltip>
           <TooltipTrigger asChild>
-            <div className="flex items-center justify-evenly gap-1">
-              <>
-                {event.data.objects.map((object) => {
-                  return getIconForLabel(
-                    object,
-                    "size-3 text-primary dark:text-white",
-                  );
-                })}
-                {event.data.audio.map((audio) => {
-                  return getIconForLabel(
-                    audio,
-                    "size-3 text-primary dark:text-white",
-                  );
-                })}
-              </>
+            <div className="flex items-center gap-2">
+              <LuCircle
+                className={cn(
+                  "size-2",
+                  event.severity == "alert"
+                    ? "fill-severity_alert text-severity_alert"
+                    : "fill-severity_detection text-severity_detection",
+                )}
+              />
+              <div className="flex items-center gap-1">
+                {event.data.objects.map((object, idx) => (
+                  <div
+                    key={`${object}-${idx}`}
+                    className="rounded-full bg-muted-foreground p-1"
+                  >
+                    {getIconForLabel(object, "object", "size-3 text-white")}
+                  </div>
+                ))}
+                {event.data.audio.map((audio, idx) => (
+                  <div
+                    key={`${audio}-${idx}`}
+                    className="rounded-full bg-muted-foreground p-1"
+                  >
+                    {getIconForLabel(audio, "audio", "size-3 text-white")}
+                  </div>
+                ))}
+              </div>
               <div className="font-extra-light text-xs">{formattedDate}</div>
             </div>
           </TooltipTrigger>
@@ -199,6 +219,16 @@ export default function ReviewCard({
           dense
         />
       </div>
+      {event.data.metadata?.title && (
+        <GenAISummaryDialog review={event}>
+          <div className="flex items-center gap-1.5 rounded bg-secondary/50 hover:underline">
+            <MdAutoAwesome className="size-3 shrink-0 text-primary" />
+            <span className="truncate text-xs text-primary">
+              {event.data.metadata.title}
+            </span>
+          </div>
+        </GenAISummaryDialog>
+      )}
     </div>
   );
 
diff --git a/web/src/components/card/SearchThumbnail.tsx b/web/src/components/card/SearchThumbnail.tsx
index 3876a7710..66f58f4fd 100644
--- a/web/src/components/card/SearchThumbnail.tsx
+++ b/web/src/components/card/SearchThumbnail.tsx
@@ -133,7 +133,11 @@ export default function SearchThumbnail({
                     className={`z-0 flex items-center justify-between gap-1 space-x-1 bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500 text-xs capitalize`}
                     onClick={() => onClick(searchResult, false, true)}
                   >
-                    {getIconForLabel(objectLabel, "size-3 text-white")}
+                    {getIconForLabel(
+                      objectLabel,
+                      searchResult.data.type,
+                      "size-3 text-white",
+                    )}
                     {Math.floor(
                       (searchResult.data.score ??
                         searchResult.data.top_score ??
@@ -150,7 +154,9 @@ export default function SearchThumbnail({
                   .filter(
                     (item) => item !== undefined && !item.includes("-verified"),
                   )
-                  .map((text) => getTranslatedLabel(text))
+                  .map((text) =>
+                    getTranslatedLabel(text, searchResult.data.type),
+                  )
                   .sort()
                   .join(", ")
                   .replaceAll("-verified", "")}
diff --git a/web/src/components/card/SearchThumbnailFooter.tsx b/web/src/components/card/SearchThumbnailFooter.tsx
index e23d1c3f6..808ad2831 100644
--- a/web/src/components/card/SearchThumbnailFooter.tsx
+++ b/web/src/components/card/SearchThumbnailFooter.tsx
@@ -13,8 +13,7 @@ type SearchThumbnailProps = {
   columns: number;
   findSimilar: () => void;
   refreshResults: () => void;
-  showObjectLifecycle: () => void;
-  showSnapshot: () => void;
+  showTrackingDetails: () => void;
   addTrigger: () => void;
 };
 
@@ -23,8 +22,7 @@ export default function SearchThumbnailFooter({
   columns,
   findSimilar,
   refreshResults,
-  showObjectLifecycle,
-  showSnapshot,
+  showTrackingDetails,
   addTrigger,
 }: SearchThumbnailProps) {
   const { t } = useTranslation(["views/search"]);
@@ -42,11 +40,11 @@ export default function SearchThumbnailFooter({
   return (
     <div
       className={cn(
-        "flex w-full flex-row items-center justify-between gap-2",
+        "flex w-full flex-row items-center justify-between gap-2 text-white",
         columns > 4 && "items-start sm:flex-col lg:flex-row lg:items-center",
       )}
     >
-      <div className="flex flex-col items-start text-xs text-primary-variant">
+      <div className="flex flex-col items-start text-xs text-white/90 drop-shadow-lg">
         {searchResult.end_time ? (
           <TimeAgo time={searchResult.start_time * 1000} dense />
         ) : (
@@ -61,8 +59,7 @@ export default function SearchThumbnailFooter({
           searchResult={searchResult}
           findSimilar={findSimilar}
           refreshResults={refreshResults}
-          showObjectLifecycle={showObjectLifecycle}
-          showSnapshot={showSnapshot}
+          showTrackingDetails={showTrackingDetails}
           addTrigger={addTrigger}
         />
       </div>
diff --git a/web/src/components/classification/ClassificationModelEditDialog.tsx b/web/src/components/classification/ClassificationModelEditDialog.tsx
new file mode 100644
index 000000000..77b0780f7
--- /dev/null
+++ b/web/src/components/classification/ClassificationModelEditDialog.tsx
@@ -0,0 +1,549 @@
+import { Button } from "@/components/ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import {
+  Form,
+  FormControl,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+} from "@/components/ui/form";
+import { Input } from "@/components/ui/input";
+import { Label } from "@/components/ui/label";
+import { RadioGroup, RadioGroupItem } from "@/components/ui/radio-group";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "@/components/ui/select";
+import {
+  CustomClassificationModelConfig,
+  FrigateConfig,
+} from "@/types/frigateConfig";
+import { ClassificationDatasetResponse } from "@/types/classification";
+import { getTranslatedLabel } from "@/utils/i18n";
+import { zodResolver } from "@hookform/resolvers/zod";
+import axios from "axios";
+import { useCallback, useEffect, useMemo, useState } from "react";
+import { useForm } from "react-hook-form";
+import { useTranslation } from "react-i18next";
+import { LuPlus, LuX } from "react-icons/lu";
+import { toast } from "sonner";
+import useSWR, { mutate } from "swr";
+import { z } from "zod";
+
+type ClassificationModelEditDialogProps = {
+  open: boolean;
+  model: CustomClassificationModelConfig;
+  onClose: () => void;
+  onSuccess: () => void;
+};
+
+type ObjectClassificationType = "sub_label" | "attribute";
+
+type ObjectFormData = {
+  objectLabel: string;
+  objectType: ObjectClassificationType;
+};
+
+type StateFormData = {
+  classes: string[];
+};
+
+export default function ClassificationModelEditDialog({
+  open,
+  model,
+  onClose,
+  onSuccess,
+}: ClassificationModelEditDialogProps) {
+  const { t } = useTranslation(["views/classificationModel"]);
+  const { data: config } = useSWR<FrigateConfig>("config");
+  const [isSaving, setIsSaving] = useState(false);
+
+  const isStateModel = model.state_config !== undefined;
+  const isObjectModel = model.object_config !== undefined;
+
+  const objectLabels = useMemo(() => {
+    if (!config) return [];
+
+    const labels = new Set<string>();
+
+    Object.values(config.cameras).forEach((cameraConfig) => {
+      if (!cameraConfig.enabled || !cameraConfig.enabled_in_config) {
+        return;
+      }
+
+      cameraConfig.objects.track.forEach((label) => {
+        if (!config.model.all_attributes.includes(label)) {
+          labels.add(label);
+        }
+      });
+    });
+
+    return [...labels].sort();
+  }, [config]);
+
+  // Define form schema based on model type
+  const formSchema = useMemo(() => {
+    if (isObjectModel) {
+      return z.object({
+        objectLabel: z
+          .string()
+          .min(1, t("wizard.step1.errors.objectLabelRequired")),
+        objectType: z.enum(["sub_label", "attribute"]),
+      });
+    } else {
+      // State model
+      return z.object({
+        classes: z
+          .array(z.string())
+          .min(1, t("wizard.step1.errors.classRequired"))
+          .refine(
+            (classes) => {
+              const nonEmpty = classes.filter((c) => c.trim().length > 0);
+              return nonEmpty.length >= 2;
+            },
+            { message: t("wizard.step1.errors.stateRequiresTwoClasses") },
+          )
+          .refine(
+            (classes) => {
+              const nonEmpty = classes.filter((c) => c.trim().length > 0);
+              const unique = new Set(nonEmpty.map((c) => c.toLowerCase()));
+              return unique.size === nonEmpty.length;
+            },
+            { message: t("wizard.step1.errors.classesUnique") },
+          ),
+      });
+    }
+  }, [isObjectModel, t]);
+
+  const form = useForm<ObjectFormData | StateFormData>({
+    resolver: zodResolver(formSchema),
+    defaultValues: isObjectModel
+      ? ({
+          objectLabel: model.object_config?.objects?.[0] || "",
+          objectType:
+            (model.object_config
+              ?.classification_type as ObjectClassificationType) || "sub_label",
+        } as ObjectFormData)
+      : ({
+          classes: [""], // Will be populated from dataset
+        } as StateFormData),
+    mode: "onChange",
+  });
+
+  // Fetch dataset to get current classes for state models
+  const { data: dataset, mutate: mutateDataset } =
+    useSWR<ClassificationDatasetResponse>(
+      isStateModel && open ? `classification/${model.name}/dataset` : null,
+      { revalidateOnFocus: false },
+    );
+
+  useEffect(() => {
+    if (open) {
+      if (isObjectModel) {
+        form.reset({
+          objectLabel: model.object_config?.objects?.[0] || "",
+          objectType:
+            (model.object_config
+              ?.classification_type as ObjectClassificationType) || "sub_label",
+        } as ObjectFormData);
+      } else {
+        form.reset({
+          classes: [""],
+        } as StateFormData);
+      }
+
+      if (isStateModel) {
+        mutateDataset();
+      }
+    }
+  }, [open, isObjectModel, isStateModel, model, form, mutateDataset]);
+
+  // Update form with classes from dataset when loaded
+  useEffect(() => {
+    if (isStateModel && open && dataset?.categories) {
+      const classes = Object.keys(dataset.categories).filter(
+        (key) => key !== "none",
+      );
+      if (classes.length > 0) {
+        (form as ReturnType<typeof useForm<StateFormData>>).setValue(
+          "classes",
+          classes,
+        );
+      }
+    }
+  }, [dataset, isStateModel, open, form]);
+
+  const watchedClasses = isStateModel
+    ? (form as ReturnType<typeof useForm<StateFormData>>).watch("classes")
+    : undefined;
+  const watchedObjectType = isObjectModel
+    ? (form as ReturnType<typeof useForm<ObjectFormData>>).watch("objectType")
+    : undefined;
+
+  const handleAddClass = useCallback(() => {
+    const currentClasses = (
+      form as ReturnType<typeof useForm<StateFormData>>
+    ).getValues("classes");
+    (form as ReturnType<typeof useForm<StateFormData>>).setValue(
+      "classes",
+      [...currentClasses, ""],
+      {
+        shouldValidate: true,
+      },
+    );
+  }, [form]);
+
+  const handleRemoveClass = useCallback(
+    (index: number) => {
+      const currentClasses = (
+        form as ReturnType<typeof useForm<StateFormData>>
+      ).getValues("classes");
+      const newClasses = currentClasses.filter((_, i) => i !== index);
+
+      // Ensure at least one field remains (even if empty)
+      if (newClasses.length === 0) {
+        (form as ReturnType<typeof useForm<StateFormData>>).setValue(
+          "classes",
+          [""],
+          { shouldValidate: true },
+        );
+      } else {
+        (form as ReturnType<typeof useForm<StateFormData>>).setValue(
+          "classes",
+          newClasses,
+          { shouldValidate: true },
+        );
+      }
+    },
+    [form],
+  );
+
+  const onSubmit = useCallback(
+    async (data: ObjectFormData | StateFormData) => {
+      setIsSaving(true);
+      try {
+        if (isObjectModel) {
+          const objectData = data as ObjectFormData;
+
+          // Update the config
+          await axios.put("/config/set", {
+            requires_restart: 0,
+            update_topic: `config/classification/custom/${model.name}`,
+            config_data: {
+              classification: {
+                custom: {
+                  [model.name]: {
+                    enabled: model.enabled,
+                    name: model.name,
+                    threshold: model.threshold,
+                    object_config: {
+                      objects: [objectData.objectLabel],
+                      classification_type: objectData.objectType,
+                    },
+                  },
+                },
+              },
+            },
+          });
+
+          toast.success(t("toast.success.updatedModel"), {
+            position: "top-center",
+          });
+        } else {
+          const stateData = data as StateFormData;
+          const newClasses = stateData.classes.filter(
+            (c) => c.trim().length > 0,
+          );
+          const oldClasses = dataset?.categories
+            ? Object.keys(dataset.categories).filter((key) => key !== "none")
+            : [];
+
+          const renameMap = new Map<string, string>();
+          const maxLength = Math.max(oldClasses.length, newClasses.length);
+
+          for (let i = 0; i < maxLength; i++) {
+            const oldClass = oldClasses[i];
+            const newClass = newClasses[i];
+
+            if (oldClass && newClass && oldClass !== newClass) {
+              renameMap.set(oldClass, newClass);
+            }
+          }
+
+          const renamePromises = Array.from(renameMap.entries()).map(
+            async ([oldName, newName]) => {
+              try {
+                await axios.put(
+                  `/classification/${model.name}/dataset/${oldName}/rename`,
+                  {
+                    new_category: newName,
+                  },
+                );
+              } catch (err) {
+                const error = err as {
+                  response?: { data?: { message?: string; detail?: string } };
+                };
+                const errorMessage =
+                  error.response?.data?.message ||
+                  error.response?.data?.detail ||
+                  "Unknown error";
+                throw new Error(
+                  `Failed to rename ${oldName} to ${newName}: ${errorMessage}`,
+                );
+              }
+            },
+          );
+
+          if (renamePromises.length > 0) {
+            await Promise.all(renamePromises);
+            await mutate(`classification/${model.name}/dataset`);
+            toast.success(t("toast.success.updatedModel"), {
+              position: "top-center",
+            });
+          } else {
+            toast.info(t("edit.stateClassesInfo"), {
+              position: "top-center",
+            });
+          }
+        }
+
+        onSuccess();
+        onClose();
+      } catch (err) {
+        const error = err as {
+          response?: { data?: { message?: string; detail?: string } };
+          message?: string;
+        };
+        const errorMessage =
+          error.message ||
+          error.response?.data?.message ||
+          error.response?.data?.detail ||
+          "Unknown error";
+        toast.error(t("toast.error.updateModelFailed", { errorMessage }), {
+          position: "top-center",
+        });
+      } finally {
+        setIsSaving(false);
+      }
+    },
+    [isObjectModel, model, dataset, t, onSuccess, onClose],
+  );
+
+  const handleCancel = useCallback(() => {
+    form.reset();
+    onClose();
+  }, [form, onClose]);
+
+  return (
+    <Dialog open={open} onOpenChange={(open) => !open && handleCancel()}>
+      <DialogContent>
+        <DialogHeader>
+          <DialogTitle>{t("edit.title")}</DialogTitle>
+          <DialogDescription>
+            {isStateModel
+              ? t("edit.descriptionState")
+              : t("edit.descriptionObject")}
+          </DialogDescription>
+        </DialogHeader>
+
+        <div className="space-y-6">
+          <Form {...form}>
+            <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-4">
+              {isObjectModel && (
+                <>
+                  <FormField
+                    control={form.control}
+                    name="objectLabel"
+                    render={({ field }) => (
+                      <FormItem>
+                        <FormLabel className="text-primary-variant">
+                          {t("wizard.step1.objectLabel")}
+                        </FormLabel>
+                        <Select
+                          onValueChange={field.onChange}
+                          defaultValue={field.value}
+                        >
+                          <FormControl>
+                            <SelectTrigger className="h-8">
+                              <SelectValue
+                                placeholder={t(
+                                  "wizard.step1.objectLabelPlaceholder",
+                                )}
+                              />
+                            </SelectTrigger>
+                          </FormControl>
+                          <SelectContent>
+                            {objectLabels.map((label) => (
+                              <SelectItem
+                                key={label}
+                                value={label}
+                                className="cursor-pointer hover:bg-secondary-highlight"
+                              >
+                                {getTranslatedLabel(label)}
+                              </SelectItem>
+                            ))}
+                          </SelectContent>
+                        </Select>
+                        <FormMessage />
+                      </FormItem>
+                    )}
+                  />
+
+                  <FormField
+                    control={form.control}
+                    name="objectType"
+                    render={({ field }) => (
+                      <FormItem>
+                        <FormLabel className="text-primary-variant">
+                          {t("wizard.step1.classificationType")}
+                        </FormLabel>
+                        <FormControl>
+                          <RadioGroup
+                            onValueChange={field.onChange}
+                            defaultValue={field.value}
+                            className="flex flex-col gap-4 pt-2"
+                          >
+                            <div className="flex items-center gap-2">
+                              <RadioGroupItem
+                                className={
+                                  watchedObjectType === "sub_label"
+                                    ? "bg-selected from-selected/50 to-selected/90 text-selected"
+                                    : "bg-secondary from-secondary/50 to-secondary/90 text-secondary"
+                                }
+                                id="sub_label"
+                                value="sub_label"
+                              />
+                              <Label
+                                className="cursor-pointer"
+                                htmlFor="sub_label"
+                              >
+                                {t("wizard.step1.classificationSubLabel")}
+                              </Label>
+                            </div>
+                            <div className="flex items-center gap-2">
+                              <RadioGroupItem
+                                className={
+                                  watchedObjectType === "attribute"
+                                    ? "bg-selected from-selected/50 to-selected/90 text-selected"
+                                    : "bg-secondary from-secondary/50 to-secondary/90 text-secondary"
+                                }
+                                id="attribute"
+                                value="attribute"
+                              />
+                              <Label
+                                className="cursor-pointer"
+                                htmlFor="attribute"
+                              >
+                                {t("wizard.step1.classificationAttribute")}
+                              </Label>
+                            </div>
+                          </RadioGroup>
+                        </FormControl>
+                        <FormMessage />
+                      </FormItem>
+                    )}
+                  />
+                </>
+              )}
+
+              {isStateModel && (
+                <div className="space-y-2">
+                  <div className="flex items-center justify-between">
+                    <FormLabel className="text-primary-variant">
+                      {t("wizard.step1.states")}
+                    </FormLabel>
+                    <Button
+                      type="button"
+                      variant="secondary"
+                      className="size-6 rounded-md bg-secondary-foreground p-1 text-background"
+                      onClick={handleAddClass}
+                    >
+                      <LuPlus />
+                    </Button>
+                  </div>
+                  <div className="space-y-2">
+                    {watchedClasses?.map((_: string, index: number) => (
+                      <FormField
+                        key={index}
+                        control={
+                          (form as ReturnType<typeof useForm<StateFormData>>)
+                            .control
+                        }
+                        name={`classes.${index}` as const}
+                        render={({ field }) => (
+                          <FormItem>
+                            <FormControl>
+                              <div className="flex items-center gap-2">
+                                <Input
+                                  className="text-md h-8"
+                                  placeholder={t(
+                                    "wizard.step1.classPlaceholder",
+                                  )}
+                                  {...field}
+                                />
+                                {watchedClasses &&
+                                  watchedClasses.length > 1 && (
+                                    <Button
+                                      type="button"
+                                      variant="ghost"
+                                      size="sm"
+                                      className="h-8 w-8 p-0"
+                                      onClick={() => handleRemoveClass(index)}
+                                    >
+                                      <LuX className="size-4" />
+                                    </Button>
+                                  )}
+                              </div>
+                            </FormControl>
+                          </FormItem>
+                        )}
+                      />
+                    ))}
+                  </div>
+                  {isStateModel &&
+                    "classes" in form.formState.errors &&
+                    form.formState.errors.classes && (
+                      <p className="text-sm font-medium text-destructive">
+                        {form.formState.errors.classes.message}
+                      </p>
+                    )}
+                </div>
+              )}
+
+              <div className="flex flex-col gap-3 pt-3 sm:flex-row sm:justify-end sm:gap-4">
+                <Button
+                  type="button"
+                  onClick={handleCancel}
+                  className="sm:flex-1"
+                  disabled={isSaving}
+                >
+                  {t("button.cancel", { ns: "common" })}
+                </Button>
+                <Button
+                  type="submit"
+                  variant="select"
+                  className="flex items-center justify-center gap-2 sm:flex-1"
+                  disabled={!form.formState.isValid || isSaving}
+                >
+                  {isSaving
+                    ? t("button.saving", { ns: "common" })
+                    : t("button.save", { ns: "common" })}
+                </Button>
+              </div>
+            </form>
+          </Form>
+        </div>
+      </DialogContent>
+    </Dialog>
+  );
+}
diff --git a/web/src/components/classification/ClassificationModelWizardDialog.tsx b/web/src/components/classification/ClassificationModelWizardDialog.tsx
new file mode 100644
index 000000000..0c43b9942
--- /dev/null
+++ b/web/src/components/classification/ClassificationModelWizardDialog.tsx
@@ -0,0 +1,223 @@
+import { useTranslation } from "react-i18next";
+import StepIndicator from "../indicators/StepIndicator";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogHeader,
+  DialogTitle,
+} from "../ui/dialog";
+import { useReducer, useMemo } from "react";
+import Step1NameAndDefine, { Step1FormData } from "./wizard/Step1NameAndDefine";
+import Step2StateArea, { Step2FormData } from "./wizard/Step2StateArea";
+import Step3ChooseExamples, {
+  Step3FormData,
+} from "./wizard/Step3ChooseExamples";
+import { cn } from "@/lib/utils";
+import { isDesktop } from "react-device-detect";
+import axios from "axios";
+
+const OBJECT_STEPS = [
+  "wizard.steps.nameAndDefine",
+  "wizard.steps.chooseExamples",
+];
+
+const STATE_STEPS = [
+  "wizard.steps.nameAndDefine",
+  "wizard.steps.stateArea",
+  "wizard.steps.chooseExamples",
+];
+
+type ClassificationModelWizardDialogProps = {
+  open: boolean;
+  onClose: () => void;
+  defaultModelType?: "state" | "object";
+};
+
+type WizardState = {
+  currentStep: number;
+  step1Data?: Step1FormData;
+  step2Data?: Step2FormData;
+  step3Data?: Step3FormData;
+};
+
+type WizardAction =
+  | { type: "NEXT_STEP"; payload?: Partial<WizardState> }
+  | { type: "PREVIOUS_STEP" }
+  | { type: "SET_STEP_1"; payload: Step1FormData }
+  | { type: "SET_STEP_2"; payload: Step2FormData }
+  | { type: "SET_STEP_3"; payload: Step3FormData }
+  | { type: "RESET" };
+
+const initialState: WizardState = {
+  currentStep: 0,
+};
+
+function wizardReducer(state: WizardState, action: WizardAction): WizardState {
+  switch (action.type) {
+    case "SET_STEP_1":
+      return {
+        ...state,
+        step1Data: action.payload,
+        currentStep: 1,
+      };
+    case "SET_STEP_2":
+      return {
+        ...state,
+        step2Data: action.payload,
+        currentStep: 2,
+      };
+    case "SET_STEP_3":
+      return {
+        ...state,
+        step3Data: action.payload,
+        currentStep: 3,
+      };
+    case "NEXT_STEP":
+      return {
+        ...state,
+        ...action.payload,
+        currentStep: state.currentStep + 1,
+      };
+    case "PREVIOUS_STEP":
+      return {
+        ...state,
+        currentStep: Math.max(0, state.currentStep - 1),
+      };
+    case "RESET":
+      return initialState;
+    default:
+      return state;
+  }
+}
+
+export default function ClassificationModelWizardDialog({
+  open,
+  onClose,
+  defaultModelType,
+}: ClassificationModelWizardDialogProps) {
+  const { t } = useTranslation(["views/classificationModel"]);
+
+  const [wizardState, dispatch] = useReducer(wizardReducer, initialState);
+
+  const steps = useMemo(() => {
+    if (!wizardState.step1Data) {
+      return OBJECT_STEPS;
+    }
+    return wizardState.step1Data.modelType === "state"
+      ? STATE_STEPS
+      : OBJECT_STEPS;
+  }, [wizardState.step1Data]);
+
+  const handleStep1Next = (data: Step1FormData) => {
+    dispatch({ type: "SET_STEP_1", payload: data });
+  };
+
+  const handleStep2Next = (data: Step2FormData) => {
+    dispatch({ type: "SET_STEP_2", payload: data });
+  };
+
+  const handleBack = () => {
+    dispatch({ type: "PREVIOUS_STEP" });
+  };
+
+  const handleCancel = async () => {
+    // Clean up any generated training images if we're cancelling from Step 3
+    if (wizardState.step1Data && wizardState.step3Data?.examplesGenerated) {
+      try {
+        await axios.delete(
+          `/classification/${wizardState.step1Data.modelName}`,
+        );
+      } catch (error) {
+        // Silently fail - user is already cancelling
+      }
+    }
+
+    dispatch({ type: "RESET" });
+    onClose();
+  };
+
+  const handleSuccessClose = () => {
+    dispatch({ type: "RESET" });
+    onClose();
+  };
+
+  return (
+    <Dialog
+      open={open}
+      onOpenChange={(open) => {
+        if (!open) {
+          handleCancel();
+        }
+      }}
+    >
+      <DialogContent
+        className={cn(
+          "",
+          isDesktop &&
+            wizardState.currentStep == 0 &&
+            "max-h-[90%] overflow-y-auto xl:max-h-[80%]",
+          isDesktop &&
+            wizardState.currentStep > 0 &&
+            "max-h-[90%] max-w-[70%] overflow-y-auto xl:max-h-[80%]",
+        )}
+        onInteractOutside={(e) => {
+          e.preventDefault();
+        }}
+      >
+        <StepIndicator
+          steps={steps}
+          currentStep={wizardState.currentStep}
+          variant="dots"
+          className="mb-4 justify-start"
+        />
+        <DialogHeader>
+          <DialogTitle>{t("wizard.title")}</DialogTitle>
+          {wizardState.currentStep === 0 && (
+            <DialogDescription>
+              {t("wizard.step1.description")}
+            </DialogDescription>
+          )}
+          {wizardState.currentStep === 1 &&
+            wizardState.step1Data?.modelType === "state" && (
+              <DialogDescription>
+                {t("wizard.step2.description")}
+              </DialogDescription>
+            )}
+        </DialogHeader>
+
+        <div className="pb-4">
+          {wizardState.currentStep === 0 && (
+            <Step1NameAndDefine
+              initialData={wizardState.step1Data}
+              defaultModelType={defaultModelType}
+              onNext={handleStep1Next}
+              onCancel={handleCancel}
+            />
+          )}
+          {wizardState.currentStep === 1 &&
+            wizardState.step1Data?.modelType === "state" && (
+              <Step2StateArea
+                initialData={wizardState.step2Data}
+                onNext={handleStep2Next}
+                onBack={handleBack}
+              />
+            )}
+          {((wizardState.currentStep === 2 &&
+            wizardState.step1Data?.modelType === "state") ||
+            (wizardState.currentStep === 1 &&
+              wizardState.step1Data?.modelType === "object")) &&
+            wizardState.step1Data && (
+              <Step3ChooseExamples
+                step1Data={wizardState.step1Data}
+                step2Data={wizardState.step2Data}
+                initialData={wizardState.step3Data}
+                onClose={handleSuccessClose}
+                onBack={handleBack}
+              />
+            )}
+        </div>
+      </DialogContent>
+    </Dialog>
+  );
+}
diff --git a/web/src/components/classification/wizard/Step1NameAndDefine.tsx b/web/src/components/classification/wizard/Step1NameAndDefine.tsx
new file mode 100644
index 000000000..a4cdc4867
--- /dev/null
+++ b/web/src/components/classification/wizard/Step1NameAndDefine.tsx
@@ -0,0 +1,508 @@
+import { Button } from "@/components/ui/button";
+import {
+  Form,
+  FormControl,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+} from "@/components/ui/form";
+import { Input } from "@/components/ui/input";
+import { Label } from "@/components/ui/label";
+import { RadioGroup, RadioGroupItem } from "@/components/ui/radio-group";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "@/components/ui/select";
+import { useForm } from "react-hook-form";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { z } from "zod";
+import { useTranslation } from "react-i18next";
+import { useMemo } from "react";
+import { LuX, LuPlus, LuInfo, LuExternalLink } from "react-icons/lu";
+import useSWR from "swr";
+import { FrigateConfig } from "@/types/frigateConfig";
+import { getTranslatedLabel } from "@/utils/i18n";
+import { useDocDomain } from "@/hooks/use-doc-domain";
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from "@/components/ui/popover";
+
+export type ModelType = "state" | "object";
+export type ObjectClassificationType = "sub_label" | "attribute";
+
+export type Step1FormData = {
+  modelName: string;
+  modelType: ModelType;
+  objectLabel?: string;
+  objectType?: ObjectClassificationType;
+  classes: string[];
+};
+
+type Step1NameAndDefineProps = {
+  initialData?: Partial<Step1FormData>;
+  defaultModelType?: "state" | "object";
+  onNext: (data: Step1FormData) => void;
+  onCancel: () => void;
+};
+
+export default function Step1NameAndDefine({
+  initialData,
+  defaultModelType,
+  onNext,
+  onCancel,
+}: Step1NameAndDefineProps) {
+  const { t } = useTranslation(["views/classificationModel"]);
+  const { data: config } = useSWR<FrigateConfig>("config");
+  const { getLocaleDocUrl } = useDocDomain();
+
+  const objectLabels = useMemo(() => {
+    if (!config) return [];
+
+    const labels = new Set<string>();
+
+    Object.values(config.cameras).forEach((cameraConfig) => {
+      if (!cameraConfig.enabled || !cameraConfig.enabled_in_config) {
+        return;
+      }
+
+      cameraConfig.objects.track.forEach((label) => {
+        if (!config.model.all_attributes.includes(label)) {
+          labels.add(label);
+        }
+      });
+    });
+
+    return [...labels].sort();
+  }, [config]);
+
+  const step1FormData = z
+    .object({
+      modelName: z
+        .string()
+        .min(1, t("wizard.step1.errors.nameRequired"))
+        .max(64, t("wizard.step1.errors.nameLength"))
+        .refine((value) => !/^\d+$/.test(value), {
+          message: t("wizard.step1.errors.nameOnlyNumbers"),
+        }),
+      modelType: z.enum(["state", "object"]),
+      objectLabel: z.string().optional(),
+      objectType: z.enum(["sub_label", "attribute"]).optional(),
+      classes: z
+        .array(
+          z
+            .string()
+            .refine(
+              (val) => val.trim().toLowerCase() !== "none",
+              t("wizard.step1.errors.noneNotAllowed"),
+            ),
+        )
+        .min(1, t("wizard.step1.errors.classRequired"))
+        .refine(
+          (classes) => {
+            const nonEmpty = classes.filter((c) => c.trim().length > 0);
+            return nonEmpty.length >= 1;
+          },
+          { message: t("wizard.step1.errors.classRequired") },
+        )
+        .refine(
+          (classes) => {
+            const nonEmpty = classes.filter((c) => c.trim().length > 0);
+            const unique = new Set(nonEmpty.map((c) => c.toLowerCase()));
+            return unique.size === nonEmpty.length;
+          },
+          { message: t("wizard.step1.errors.classesUnique") },
+        ),
+    })
+    .refine(
+      (data) => {
+        // State models require at least 2 classes
+        if (data.modelType === "state") {
+          const nonEmpty = data.classes.filter((c) => c.trim().length > 0);
+          return nonEmpty.length >= 2;
+        }
+        return true;
+      },
+      {
+        message: t("wizard.step1.errors.stateRequiresTwoClasses"),
+        path: ["classes"],
+      },
+    )
+    .refine(
+      (data) => {
+        if (data.modelType === "object") {
+          return data.objectLabel !== undefined && data.objectLabel !== "";
+        }
+        return true;
+      },
+      {
+        message: t("wizard.step1.errors.objectLabelRequired"),
+        path: ["objectLabel"],
+      },
+    )
+    .refine(
+      (data) => {
+        if (data.modelType === "object") {
+          return data.objectType !== undefined;
+        }
+        return true;
+      },
+      {
+        message: t("wizard.step1.errors.objectTypeRequired"),
+        path: ["objectType"],
+      },
+    );
+
+  const form = useForm<z.infer<typeof step1FormData>>({
+    resolver: zodResolver(step1FormData),
+    defaultValues: {
+      modelName: initialData?.modelName || "",
+      modelType: initialData?.modelType || defaultModelType || "state",
+      objectLabel: initialData?.objectLabel,
+      objectType: initialData?.objectType || "sub_label",
+      classes: initialData?.classes?.length ? initialData.classes : [""],
+    },
+    mode: "onChange",
+  });
+
+  const watchedClasses = form.watch("classes");
+  const watchedModelType = form.watch("modelType");
+  const watchedObjectType = form.watch("objectType");
+
+  const handleAddClass = () => {
+    const currentClasses = form.getValues("classes");
+    form.setValue("classes", [...currentClasses, ""], { shouldValidate: true });
+  };
+
+  const handleRemoveClass = (index: number) => {
+    const currentClasses = form.getValues("classes");
+    const newClasses = currentClasses.filter((_, i) => i !== index);
+
+    // Ensure at least one field remains (even if empty)
+    if (newClasses.length === 0) {
+      form.setValue("classes", [""], { shouldValidate: true });
+    } else {
+      form.setValue("classes", newClasses, { shouldValidate: true });
+    }
+  };
+
+  const onSubmit = (data: z.infer<typeof step1FormData>) => {
+    // Filter out empty classes
+    const filteredClasses = data.classes.filter((c) => c.trim().length > 0);
+    onNext({
+      ...data,
+      classes: filteredClasses,
+    });
+  };
+
+  return (
+    <div className="space-y-6">
+      <Form {...form}>
+        <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-4">
+          <FormField
+            control={form.control}
+            name="modelName"
+            render={({ field }) => (
+              <FormItem>
+                <FormLabel className="text-primary-variant">
+                  {t("wizard.step1.name")}
+                </FormLabel>
+                <FormControl>
+                  <Input
+                    className="text-md h-8"
+                    placeholder={t("wizard.step1.namePlaceholder")}
+                    {...field}
+                  />
+                </FormControl>
+                <FormMessage />
+              </FormItem>
+            )}
+          />
+
+          <FormField
+            control={form.control}
+            name="modelType"
+            render={({ field }) => (
+              <FormItem>
+                <FormLabel className="text-primary-variant">
+                  {t("wizard.step1.type")}
+                </FormLabel>
+                <FormControl>
+                  <RadioGroup
+                    onValueChange={field.onChange}
+                    defaultValue={field.value}
+                    className="flex flex-col gap-4 pt-2"
+                  >
+                    <div className="flex items-center gap-2">
+                      <RadioGroupItem
+                        className={
+                          watchedModelType === "state"
+                            ? "bg-selected from-selected/50 to-selected/90 text-selected"
+                            : "bg-secondary from-secondary/50 to-secondary/90 text-secondary"
+                        }
+                        id="state"
+                        value="state"
+                      />
+                      <Label className="cursor-pointer" htmlFor="state">
+                        {t("wizard.step1.typeState")}
+                      </Label>
+                    </div>
+                    <div className="flex items-center gap-2">
+                      <RadioGroupItem
+                        className={
+                          watchedModelType === "object"
+                            ? "bg-selected from-selected/50 to-selected/90 text-selected"
+                            : "bg-secondary from-secondary/50 to-secondary/90 text-secondary"
+                        }
+                        id="object"
+                        value="object"
+                      />
+                      <Label className="cursor-pointer" htmlFor="object">
+                        {t("wizard.step1.typeObject")}
+                      </Label>
+                    </div>
+                  </RadioGroup>
+                </FormControl>
+                <FormMessage />
+              </FormItem>
+            )}
+          />
+
+          {watchedModelType === "object" && (
+            <>
+              <FormField
+                control={form.control}
+                name="objectLabel"
+                render={({ field }) => (
+                  <FormItem>
+                    <FormLabel className="text-primary-variant">
+                      {t("wizard.step1.objectLabel")}
+                    </FormLabel>
+                    <Select
+                      onValueChange={field.onChange}
+                      defaultValue={field.value}
+                    >
+                      <FormControl>
+                        <SelectTrigger className="h-8">
+                          <SelectValue
+                            placeholder={t(
+                              "wizard.step1.objectLabelPlaceholder",
+                            )}
+                          />
+                        </SelectTrigger>
+                      </FormControl>
+                      <SelectContent>
+                        {objectLabels.map((label) => (
+                          <SelectItem
+                            key={label}
+                            value={label}
+                            className="cursor-pointer hover:bg-secondary-highlight"
+                          >
+                            {getTranslatedLabel(label)}
+                          </SelectItem>
+                        ))}
+                      </SelectContent>
+                    </Select>
+                    <FormMessage />
+                  </FormItem>
+                )}
+              />
+
+              <FormField
+                control={form.control}
+                name="objectType"
+                render={({ field }) => (
+                  <FormItem>
+                    <div className="flex items-center gap-1">
+                      <FormLabel className="text-primary-variant">
+                        {t("wizard.step1.classificationType")}
+                      </FormLabel>
+                      <Popover modal={true}>
+                        <PopoverTrigger asChild>
+                          <Button
+                            variant="ghost"
+                            size="sm"
+                            className="h-4 w-4 p-0"
+                          >
+                            <LuInfo className="size-3" />
+                          </Button>
+                        </PopoverTrigger>
+                        <PopoverContent className="pointer-events-auto w-80 text-xs">
+                          <div className="flex flex-col gap-2">
+                            <div className="text-sm">
+                              {t("wizard.step1.classificationTypeDesc")}
+                            </div>
+                            <div className="mt-3 flex items-center text-primary">
+                              <a
+                                href={getLocaleDocUrl(
+                                  "configuration/custom_classification/object_classification#classification-type",
+                                )}
+                                target="_blank"
+                                rel="noopener noreferrer"
+                                className="inline cursor-pointer"
+                              >
+                                {t("readTheDocumentation", { ns: "common" })}
+                                <LuExternalLink className="ml-2 inline-flex size-3" />
+                              </a>
+                            </div>
+                          </div>
+                        </PopoverContent>
+                      </Popover>
+                    </div>
+                    <FormControl>
+                      <RadioGroup
+                        onValueChange={field.onChange}
+                        defaultValue={field.value}
+                        className="flex flex-col gap-4 pt-2"
+                      >
+                        <div className="flex items-center gap-2">
+                          <RadioGroupItem
+                            className={
+                              watchedObjectType === "sub_label"
+                                ? "bg-selected from-selected/50 to-selected/90 text-selected"
+                                : "bg-secondary from-secondary/50 to-secondary/90 text-secondary"
+                            }
+                            id="sub_label"
+                            value="sub_label"
+                          />
+                          <Label className="cursor-pointer" htmlFor="sub_label">
+                            {t("wizard.step1.classificationSubLabel")}
+                          </Label>
+                        </div>
+                        <div className="flex items-center gap-2">
+                          <RadioGroupItem
+                            className={
+                              watchedObjectType === "attribute"
+                                ? "bg-selected from-selected/50 to-selected/90 text-selected"
+                                : "bg-secondary from-secondary/50 to-secondary/90 text-secondary"
+                            }
+                            id="attribute"
+                            value="attribute"
+                          />
+                          <Label className="cursor-pointer" htmlFor="attribute">
+                            {t("wizard.step1.classificationAttribute")}
+                          </Label>
+                        </div>
+                      </RadioGroup>
+                    </FormControl>
+                    <FormMessage />
+                  </FormItem>
+                )}
+              />
+            </>
+          )}
+
+          <div className="space-y-2">
+            <div className="flex items-center justify-between">
+              <div className="flex items-center gap-1">
+                <FormLabel className="text-primary-variant">
+                  {watchedModelType === "state"
+                    ? t("wizard.step1.states")
+                    : t("wizard.step1.classes")}
+                </FormLabel>
+                <Popover modal={true}>
+                  <PopoverTrigger asChild>
+                    <Button variant="ghost" size="sm" className="h-4 w-4 p-0">
+                      <LuInfo className="size-3" />
+                    </Button>
+                  </PopoverTrigger>
+                  <PopoverContent className="pointer-events-auto w-80 text-xs">
+                    <div className="flex flex-col gap-2">
+                      <div className="text-sm">
+                        {watchedModelType === "state"
+                          ? t("wizard.step1.classesStateDesc")
+                          : t("wizard.step1.classesObjectDesc")}
+                      </div>
+                      <div className="mt-3 flex items-center text-primary">
+                        <a
+                          href={getLocaleDocUrl(
+                            watchedModelType === "state"
+                              ? "configuration/custom_classification/state_classification"
+                              : "configuration/custom_classification/object_classification",
+                          )}
+                          target="_blank"
+                          rel="noopener noreferrer"
+                          className="inline cursor-pointer"
+                        >
+                          {t("readTheDocumentation", { ns: "common" })}
+                          <LuExternalLink className="ml-2 inline-flex size-3" />
+                        </a>
+                      </div>
+                    </div>
+                  </PopoverContent>
+                </Popover>
+              </div>
+              <Button
+                type="button"
+                variant="secondary"
+                className="size-6 rounded-md bg-secondary-foreground p-1 text-background"
+                onClick={handleAddClass}
+              >
+                <LuPlus />
+              </Button>
+            </div>
+            <div className="space-y-2">
+              {watchedClasses.map((_, index) => (
+                <FormField
+                  key={index}
+                  control={form.control}
+                  name={`classes.${index}`}
+                  render={({ field }) => (
+                    <FormItem>
+                      <FormControl>
+                        <div className="flex items-center gap-2">
+                          <Input
+                            className="text-md h-8"
+                            placeholder={t("wizard.step1.classPlaceholder")}
+                            {...field}
+                          />
+                          {watchedClasses.length > 1 && (
+                            <Button
+                              type="button"
+                              variant="ghost"
+                              size="sm"
+                              className="h-8 w-8 p-0"
+                              onClick={() => handleRemoveClass(index)}
+                            >
+                              <LuX className="size-4" />
+                            </Button>
+                          )}
+                        </div>
+                      </FormControl>
+                      <FormMessage />
+                    </FormItem>
+                  )}
+                />
+              ))}
+            </div>
+            {form.formState.errors.classes && (
+              <p className="text-sm font-medium text-destructive">
+                {form.formState.errors.classes.message}
+              </p>
+            )}
+          </div>
+        </form>
+      </Form>
+
+      <div className="flex flex-col gap-3 pt-3 sm:flex-row sm:justify-end sm:gap-4">
+        <Button type="button" onClick={onCancel} className="sm:flex-1">
+          {t("button.cancel", { ns: "common" })}
+        </Button>
+        <Button
+          type="button"
+          onClick={form.handleSubmit(onSubmit)}
+          variant="select"
+          className="flex items-center justify-center gap-2 sm:flex-1"
+          disabled={!form.formState.isValid}
+        >
+          {t("button.continue", { ns: "common" })}
+        </Button>
+      </div>
+    </div>
+  );
+}
diff --git a/web/src/components/classification/wizard/Step2StateArea.tsx b/web/src/components/classification/wizard/Step2StateArea.tsx
new file mode 100644
index 000000000..38c2fcad7
--- /dev/null
+++ b/web/src/components/classification/wizard/Step2StateArea.tsx
@@ -0,0 +1,479 @@
+import { Button } from "@/components/ui/button";
+import { useTranslation } from "react-i18next";
+import { useState, useMemo, useRef, useCallback, useEffect } from "react";
+import useSWR from "swr";
+import { FrigateConfig } from "@/types/frigateConfig";
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from "@/components/ui/popover";
+import { LuX, LuPlus } from "react-icons/lu";
+import { Stage, Layer, Rect, Transformer } from "react-konva";
+import Konva from "konva";
+import { useResizeObserver } from "@/hooks/resize-observer";
+import { useApiHost } from "@/api";
+import { resolveCameraName } from "@/hooks/use-camera-friendly-name";
+import Heading from "@/components/ui/heading";
+import { isMobile } from "react-device-detect";
+import { cn } from "@/lib/utils";
+
+export type CameraAreaConfig = {
+  camera: string;
+  crop: [number, number, number, number];
+};
+
+export type Step2FormData = {
+  cameraAreas: CameraAreaConfig[];
+};
+
+type Step2StateAreaProps = {
+  initialData?: Partial<Step2FormData>;
+  onNext: (data: Step2FormData) => void;
+  onBack: () => void;
+};
+
+export default function Step2StateArea({
+  initialData,
+  onNext,
+  onBack,
+}: Step2StateAreaProps) {
+  const { t } = useTranslation(["views/classificationModel"]);
+  const { data: config } = useSWR<FrigateConfig>("config");
+  const apiHost = useApiHost();
+
+  const [cameraAreas, setCameraAreas] = useState<CameraAreaConfig[]>(
+    initialData?.cameraAreas || [],
+  );
+  const [selectedCameraIndex, setSelectedCameraIndex] = useState<number>(0);
+  const [isPopoverOpen, setIsPopoverOpen] = useState(false);
+  const [imageLoaded, setImageLoaded] = useState(false);
+
+  const containerRef = useRef<HTMLDivElement>(null);
+  const imageRef = useRef<HTMLImageElement>(null);
+  const stageRef = useRef<Konva.Stage>(null);
+  const rectRef = useRef<Konva.Rect>(null);
+  const transformerRef = useRef<Konva.Transformer>(null);
+
+  const [{ width: containerWidth }] = useResizeObserver(containerRef);
+
+  const availableCameras = useMemo(() => {
+    if (!config) return [];
+
+    const selectedCameraNames = cameraAreas.map((ca) => ca.camera);
+    return Object.entries(config.cameras)
+      .sort()
+      .filter(
+        ([name, cam]) =>
+          cam.enabled &&
+          cam.enabled_in_config &&
+          !selectedCameraNames.includes(name),
+      )
+      .map(([name]) => ({
+        name,
+        displayName: resolveCameraName(config, name),
+      }));
+  }, [config, cameraAreas]);
+
+  const selectedCamera = useMemo(() => {
+    if (cameraAreas.length === 0) return null;
+    return cameraAreas[selectedCameraIndex];
+  }, [cameraAreas, selectedCameraIndex]);
+
+  const selectedCameraConfig = useMemo(() => {
+    if (!config || !selectedCamera) return null;
+    return config.cameras[selectedCamera.camera];
+  }, [config, selectedCamera]);
+
+  const imageSize = useMemo(() => {
+    if (!containerWidth || !selectedCameraConfig) {
+      return { width: 0, height: 0 };
+    }
+
+    const containerAspectRatio = 16 / 9;
+    const containerHeight = containerWidth / containerAspectRatio;
+
+    const cameraAspectRatio =
+      selectedCameraConfig.detect.width / selectedCameraConfig.detect.height;
+
+    // Fit camera within 16:9 container
+    let imageWidth, imageHeight;
+    if (cameraAspectRatio > containerAspectRatio) {
+      imageWidth = containerWidth;
+      imageHeight = imageWidth / cameraAspectRatio;
+    } else {
+      imageHeight = containerHeight;
+      imageWidth = imageHeight * cameraAspectRatio;
+    }
+
+    return { width: imageWidth, height: imageHeight };
+  }, [containerWidth, selectedCameraConfig]);
+
+  const handleAddCamera = useCallback(
+    (cameraName: string) => {
+      // Calculate a square crop in pixel space
+      const camera = config?.cameras[cameraName];
+      if (!camera) return;
+
+      const cameraAspect = camera.detect.width / camera.detect.height;
+      const cropSize = 0.3;
+      let x1, y1, x2, y2;
+
+      if (cameraAspect >= 1) {
+        const pixelSize = cropSize * camera.detect.height;
+        const normalizedWidth = pixelSize / camera.detect.width;
+        x1 = (1 - normalizedWidth) / 2;
+        y1 = (1 - cropSize) / 2;
+        x2 = x1 + normalizedWidth;
+        y2 = y1 + cropSize;
+      } else {
+        const pixelSize = cropSize * camera.detect.width;
+        const normalizedHeight = pixelSize / camera.detect.height;
+        x1 = (1 - cropSize) / 2;
+        y1 = (1 - normalizedHeight) / 2;
+        x2 = x1 + cropSize;
+        y2 = y1 + normalizedHeight;
+      }
+
+      const newArea: CameraAreaConfig = {
+        camera: cameraName,
+        crop: [x1, y1, x2, y2],
+      };
+      setCameraAreas([...cameraAreas, newArea]);
+      setSelectedCameraIndex(cameraAreas.length);
+      setIsPopoverOpen(false);
+    },
+    [cameraAreas, config],
+  );
+
+  const handleRemoveCamera = useCallback(
+    (index: number) => {
+      const newAreas = cameraAreas.filter((_, i) => i !== index);
+      setCameraAreas(newAreas);
+      if (selectedCameraIndex >= newAreas.length) {
+        setSelectedCameraIndex(Math.max(0, newAreas.length - 1));
+      }
+    },
+    [cameraAreas, selectedCameraIndex],
+  );
+
+  const handleCropChange = useCallback(
+    (crop: [number, number, number, number]) => {
+      const newAreas = [...cameraAreas];
+      newAreas[selectedCameraIndex] = {
+        ...newAreas[selectedCameraIndex],
+        crop,
+      };
+      setCameraAreas(newAreas);
+    },
+    [cameraAreas, selectedCameraIndex],
+  );
+
+  useEffect(() => {
+    setImageLoaded(false);
+  }, [selectedCamera]);
+
+  useEffect(() => {
+    const rect = rectRef.current;
+    const transformer = transformerRef.current;
+
+    if (
+      rect &&
+      transformer &&
+      selectedCamera &&
+      imageSize.width > 0 &&
+      imageLoaded
+    ) {
+      rect.scaleX(1);
+      rect.scaleY(1);
+      transformer.nodes([rect]);
+      transformer.getLayer()?.batchDraw();
+    }
+  }, [selectedCamera, imageSize, imageLoaded]);
+
+  const handleRectChange = useCallback(() => {
+    const rect = rectRef.current;
+
+    if (rect && imageSize.width > 0) {
+      const actualWidth = rect.width() * rect.scaleX();
+      const actualHeight = rect.height() * rect.scaleY();
+
+      // Average dimensions to maintain perfect square
+      const size = (actualWidth + actualHeight) / 2;
+
+      rect.width(size);
+      rect.height(size);
+      rect.scaleX(1);
+      rect.scaleY(1);
+
+      const x1 = rect.x() / imageSize.width;
+      const y1 = rect.y() / imageSize.height;
+      const x2 = (rect.x() + size) / imageSize.width;
+      const y2 = (rect.y() + size) / imageSize.height;
+
+      handleCropChange([x1, y1, x2, y2]);
+    }
+  }, [imageSize, handleCropChange]);
+
+  const handleContinue = useCallback(() => {
+    onNext({ cameraAreas });
+  }, [cameraAreas, onNext]);
+
+  const canContinue = cameraAreas.length > 0;
+
+  return (
+    <div className="flex flex-col gap-4">
+      <div
+        className={cn(
+          "flex gap-4 overflow-hidden",
+          isMobile ? "flex-col" : "flex-row",
+        )}
+      >
+        <div
+          className={cn(
+            "flex flex-shrink-0 flex-col gap-2 overflow-y-auto rounded-lg bg-secondary p-4",
+            isMobile ? "w-full" : "w-64",
+          )}
+        >
+          <div className="flex items-center justify-between">
+            <h3 className="text-sm font-medium">{t("wizard.step2.cameras")}</h3>
+            {availableCameras.length > 0 ? (
+              <Popover
+                open={isPopoverOpen}
+                onOpenChange={setIsPopoverOpen}
+                modal={true}
+              >
+                <PopoverTrigger asChild>
+                  <Button
+                    type="button"
+                    variant="secondary"
+                    className="size-6 rounded-md bg-secondary-foreground p-1 text-background"
+                    aria-label="Add camera"
+                  >
+                    <LuPlus />
+                  </Button>
+                </PopoverTrigger>
+                <PopoverContent
+                  className="scrollbar-container w-64 border bg-background p-3 shadow-lg"
+                  align="start"
+                  sideOffset={5}
+                  onOpenAutoFocus={(e) => e.preventDefault()}
+                >
+                  <div className="flex flex-col gap-2">
+                    <Heading as="h4" className="text-sm text-primary-variant">
+                      {t("wizard.step2.selectCamera")}
+                    </Heading>
+                    <div className="scrollbar-container flex max-h-[30vh] flex-col gap-1 overflow-y-auto">
+                      {availableCameras.map((cam) => (
+                        <Button
+                          key={cam.name}
+                          type="button"
+                          variant="ghost"
+                          size="sm"
+                          className="h-auto justify-start p-2 capitalize text-primary"
+                          onClick={() => {
+                            handleAddCamera(cam.name);
+                          }}
+                        >
+                          {cam.displayName}
+                        </Button>
+                      ))}
+                    </div>
+                  </div>
+                </PopoverContent>
+              </Popover>
+            ) : (
+              <Button
+                variant="secondary"
+                className="size-6 cursor-not-allowed rounded-md bg-muted p-1 text-muted-foreground"
+                disabled
+              >
+                <LuPlus />
+              </Button>
+            )}
+          </div>
+
+          <div className="flex flex-col gap-1">
+            {cameraAreas.map((area, index) => {
+              const isSelected = index === selectedCameraIndex;
+              const displayName = resolveCameraName(config, area.camera);
+
+              return (
+                <div
+                  key={area.camera}
+                  className={`flex items-center justify-between rounded-md p-2 ${
+                    isSelected
+                      ? "bg-selected/20 ring-1 ring-selected"
+                      : "hover:bg-secondary/50"
+                  } cursor-pointer`}
+                  onClick={() => setSelectedCameraIndex(index)}
+                >
+                  <span className="text-sm capitalize">{displayName}</span>
+                  <Button
+                    type="button"
+                    variant="ghost"
+                    size="sm"
+                    className="h-6 w-6 p-0"
+                    onClick={(e) => {
+                      e.stopPropagation();
+                      handleRemoveCamera(index);
+                    }}
+                  >
+                    <LuX className="size-4" />
+                  </Button>
+                </div>
+              );
+            })}
+          </div>
+
+          {cameraAreas.length === 0 && (
+            <div className="flex flex-1 items-center justify-center text-center text-sm text-muted-foreground">
+              {t("wizard.step2.noCameras")}
+            </div>
+          )}
+        </div>
+
+        <div className="flex flex-1 items-center justify-center overflow-hidden rounded-lg p-4">
+          <div
+            ref={containerRef}
+            className="flex items-center justify-center"
+            style={{
+              width: "100%",
+              aspectRatio: "16 / 9",
+              maxHeight: "100%",
+            }}
+          >
+            {selectedCamera && selectedCameraConfig && imageSize.width > 0 ? (
+              <div
+                style={{
+                  width: imageSize.width,
+                  height: imageSize.height,
+                  position: "relative",
+                }}
+              >
+                <img
+                  ref={imageRef}
+                  src={`${apiHost}api/${selectedCamera.camera}/latest.jpg?h=500`}
+                  alt={resolveCameraName(config, selectedCamera.camera)}
+                  className="h-full w-full object-contain"
+                  onLoad={() => setImageLoaded(true)}
+                />
+                <Stage
+                  ref={stageRef}
+                  width={imageSize.width}
+                  height={imageSize.height}
+                  className="absolute inset-0"
+                >
+                  <Layer>
+                    <Rect
+                      ref={rectRef}
+                      x={selectedCamera.crop[0] * imageSize.width}
+                      y={selectedCamera.crop[1] * imageSize.height}
+                      width={
+                        (selectedCamera.crop[2] - selectedCamera.crop[0]) *
+                        imageSize.width
+                      }
+                      height={
+                        (selectedCamera.crop[3] - selectedCamera.crop[1]) *
+                        imageSize.height
+                      }
+                      stroke="#3b82f6"
+                      strokeWidth={2}
+                      fill="rgba(59, 130, 246, 0.1)"
+                      draggable
+                      dragBoundFunc={(pos) => {
+                        const rect = rectRef.current;
+                        if (!rect) return pos;
+
+                        const size = rect.width();
+                        const x = Math.max(
+                          0,
+                          Math.min(pos.x, imageSize.width - size),
+                        );
+                        const y = Math.max(
+                          0,
+                          Math.min(pos.y, imageSize.height - size),
+                        );
+
+                        return { x, y };
+                      }}
+                      onDragEnd={handleRectChange}
+                      onTransformEnd={handleRectChange}
+                    />
+                    <Transformer
+                      ref={transformerRef}
+                      rotateEnabled={false}
+                      enabledAnchors={[
+                        "top-left",
+                        "top-right",
+                        "bottom-left",
+                        "bottom-right",
+                      ]}
+                      boundBoxFunc={(_oldBox, newBox) => {
+                        const minSize = 50;
+                        const maxSize = Math.min(
+                          imageSize.width,
+                          imageSize.height,
+                        );
+
+                        // Clamp dimensions to stage bounds first
+                        const clampedWidth = Math.max(
+                          minSize,
+                          Math.min(newBox.width, maxSize),
+                        );
+                        const clampedHeight = Math.max(
+                          minSize,
+                          Math.min(newBox.height, maxSize),
+                        );
+
+                        // Enforce square using average
+                        const size = (clampedWidth + clampedHeight) / 2;
+
+                        // Clamp position to keep square within bounds
+                        const x = Math.max(
+                          0,
+                          Math.min(newBox.x, imageSize.width - size),
+                        );
+                        const y = Math.max(
+                          0,
+                          Math.min(newBox.y, imageSize.height - size),
+                        );
+
+                        return {
+                          ...newBox,
+                          x,
+                          y,
+                          width: size,
+                          height: size,
+                        };
+                      }}
+                    />
+                  </Layer>
+                </Stage>
+              </div>
+            ) : (
+              <div className="flex items-center justify-center text-muted-foreground">
+                {t("wizard.step2.selectCameraPrompt")}
+              </div>
+            )}
+          </div>
+        </div>
+      </div>
+
+      <div className="flex flex-col gap-3 pt-3 sm:flex-row sm:justify-end sm:gap-4">
+        <Button type="button" onClick={onBack} className="sm:flex-1">
+          {t("button.back", { ns: "common" })}
+        </Button>
+        <Button
+          type="button"
+          onClick={handleContinue}
+          variant="select"
+          className="flex items-center justify-center gap-2 sm:flex-1"
+          disabled={!canContinue}
+        >
+          {t("button.continue", { ns: "common" })}
+        </Button>
+      </div>
+    </div>
+  );
+}
diff --git a/web/src/components/classification/wizard/Step3ChooseExamples.tsx b/web/src/components/classification/wizard/Step3ChooseExamples.tsx
new file mode 100644
index 000000000..e3dd04afc
--- /dev/null
+++ b/web/src/components/classification/wizard/Step3ChooseExamples.tsx
@@ -0,0 +1,628 @@
+import { Button } from "@/components/ui/button";
+import { useTranslation } from "react-i18next";
+import { useState, useEffect, useCallback, useMemo } from "react";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
+import axios from "axios";
+import { toast } from "sonner";
+import { Step1FormData } from "./Step1NameAndDefine";
+import { Step2FormData } from "./Step2StateArea";
+import useSWR from "swr";
+import { baseUrl } from "@/api/baseUrl";
+import { isMobile } from "react-device-detect";
+import { cn } from "@/lib/utils";
+import { Alert, AlertDescription, AlertTitle } from "@/components/ui/alert";
+import { IoIosWarning } from "react-icons/io";
+
+export type Step3FormData = {
+  examplesGenerated: boolean;
+  imageClassifications?: { [imageName: string]: string };
+};
+
+type Step3ChooseExamplesProps = {
+  step1Data: Step1FormData;
+  step2Data?: Step2FormData;
+  initialData?: Partial<Step3FormData>;
+  onClose: () => void;
+  onBack: () => void;
+};
+
+export default function Step3ChooseExamples({
+  step1Data,
+  step2Data,
+  initialData,
+  onClose,
+  onBack,
+}: Step3ChooseExamplesProps) {
+  const { t } = useTranslation(["views/classificationModel"]);
+  const [isGenerating, setIsGenerating] = useState(false);
+  const [hasGenerated, setHasGenerated] = useState(
+    initialData?.examplesGenerated || false,
+  );
+  const [imageClassifications, setImageClassifications] = useState<{
+    [imageName: string]: string;
+  }>(initialData?.imageClassifications || {});
+  const [isTraining, setIsTraining] = useState(false);
+  const [isProcessing, setIsProcessing] = useState(false);
+  const [currentClassIndex, setCurrentClassIndex] = useState(0);
+  const [selectedImages, setSelectedImages] = useState<Set<string>>(new Set());
+  const [cacheKey, setCacheKey] = useState<number>(Date.now());
+  const [loadedImages, setLoadedImages] = useState<Set<string>>(new Set());
+
+  const handleImageLoad = useCallback((imageName: string) => {
+    setLoadedImages((prev) => new Set(prev).add(imageName));
+  }, []);
+
+  const { data: trainImages, mutate: refreshTrainImages } = useSWR<string[]>(
+    hasGenerated ? `classification/${step1Data.modelName}/train` : null,
+  );
+
+  const unknownImages = useMemo(() => {
+    if (!trainImages) return [];
+    return trainImages;
+  }, [trainImages]);
+
+  const toggleImageSelection = useCallback((imageName: string) => {
+    setSelectedImages((prev) => {
+      const newSet = new Set(prev);
+      if (newSet.has(imageName)) {
+        newSet.delete(imageName);
+      } else {
+        newSet.add(imageName);
+      }
+      return newSet;
+    });
+  }, []);
+
+  // Get all classes (excluding "none" - it will be auto-assigned)
+  const allClasses = useMemo(() => {
+    return [...step1Data.classes];
+  }, [step1Data.classes]);
+
+  const currentClass = allClasses[currentClassIndex];
+
+  const processClassificationsAndTrain = useCallback(
+    async (classifications: { [imageName: string]: string }) => {
+      // Step 1: Create config for the new model
+      const modelConfig: {
+        enabled: boolean;
+        name: string;
+        threshold: number;
+        state_config?: {
+          cameras: Record<string, { crop: number[] }>;
+          motion: boolean;
+        };
+        object_config?: { objects: string[]; classification_type: string };
+      } = {
+        enabled: true,
+        name: step1Data.modelName,
+        threshold: 0.8,
+      };
+
+      if (step1Data.modelType === "state") {
+        // State model config
+        const cameras: Record<string, { crop: number[] }> = {};
+        step2Data?.cameraAreas.forEach((area) => {
+          cameras[area.camera] = {
+            crop: area.crop,
+          };
+        });
+
+        modelConfig.state_config = {
+          cameras,
+          motion: true,
+        };
+      } else {
+        // Object model config
+        modelConfig.object_config = {
+          objects: step1Data.objectLabel ? [step1Data.objectLabel] : [],
+          classification_type: step1Data.objectType || "sub_label",
+        } as { objects: string[]; classification_type: string };
+      }
+
+      // Update config via config API
+      await axios.put("/config/set", {
+        requires_restart: 0,
+        update_topic: `config/classification/custom/${step1Data.modelName}`,
+        config_data: {
+          classification: {
+            custom: {
+              [step1Data.modelName]: modelConfig,
+            },
+          },
+        },
+      });
+
+      // Step 2: Classify each image by moving it to the correct category folder
+      const categorizePromises = Object.entries(classifications).map(
+        ([imageName, className]) => {
+          if (!className) return Promise.resolve();
+          return axios.post(
+            `/classification/${step1Data.modelName}/dataset/categorize`,
+            {
+              training_file: imageName,
+              category: className === "none" ? "none" : className,
+            },
+          );
+        },
+      );
+      await Promise.all(categorizePromises);
+
+      // Step 2.5: Delete any unselected images from train folder
+      // For state models, all images must be classified, so unselected images should be removed
+      // For object models, unselected images are assigned to "none" so they're already categorized
+      if (step1Data.modelType === "state") {
+        try {
+          // Fetch current train images to see what's left after categorization
+          const trainImagesResponse = await axios.get<string[]>(
+            `/classification/${step1Data.modelName}/train`,
+          );
+          const remainingTrainImages = trainImagesResponse.data || [];
+
+          const categorizedImageNames = new Set(Object.keys(classifications));
+          const unselectedImages = remainingTrainImages.filter(
+            (imageName) => !categorizedImageNames.has(imageName),
+          );
+
+          if (unselectedImages.length > 0) {
+            await axios.post(
+              `/classification/${step1Data.modelName}/train/delete`,
+              {
+                ids: unselectedImages,
+              },
+            );
+          }
+        } catch (error) {
+          // Silently fail - unselected images will remain but won't cause issues
+          // since the frontend filters out images that don't match expected format
+        }
+      }
+
+      // Step 2.6: Create empty folders for classes that don't have any images
+      // This ensures all classes are available in the dataset view later
+      const classesWithImages = new Set(
+        Object.values(classifications).filter((c) => c && c !== "none"),
+      );
+      const emptyFolderPromises = step1Data.classes
+        .filter((className) => !classesWithImages.has(className))
+        .map((className) =>
+          axios.post(
+            `/classification/${step1Data.modelName}/dataset/${className}/create`,
+          ),
+        );
+      await Promise.all(emptyFolderPromises);
+
+      // Step 3: Determine if we should train
+      // For state models, we need ALL states to have examples (at least 2 states)
+      // For object models, we need at least 1 class with images (the rest go to "none")
+      const allStatesHaveExamplesForTraining =
+        step1Data.modelType !== "state" ||
+        step1Data.classes.every((className) =>
+          classesWithImages.has(className),
+        );
+      const shouldTrain =
+        step1Data.modelType === "object"
+          ? classesWithImages.size >= 1
+          : allStatesHaveExamplesForTraining && classesWithImages.size >= 2;
+
+      // Step 4: Kick off training only if we have enough classes with images
+      if (shouldTrain) {
+        await axios.post(`/classification/${step1Data.modelName}/train`);
+
+        toast.success(t("wizard.step3.trainingStarted"), {
+          closeButton: true,
+        });
+        setIsTraining(true);
+      } else {
+        // Don't train - not all states have examples
+        toast.success(t("wizard.step3.modelCreated"), {
+          closeButton: true,
+        });
+        setIsTraining(false);
+        onClose();
+      }
+    },
+    [step1Data, step2Data, t, onClose],
+  );
+
+  const handleContinueClassification = useCallback(async () => {
+    // Mark selected images with current class
+    const newClassifications = { ...imageClassifications };
+
+    // Handle user going back and de-selecting images
+    const imagesToCheck = unknownImages.slice(0, 24);
+    imagesToCheck.forEach((imageName) => {
+      if (
+        newClassifications[imageName] === currentClass &&
+        !selectedImages.has(imageName)
+      ) {
+        delete newClassifications[imageName];
+      }
+    });
+
+    // Then, add all currently selected images to the current class
+    selectedImages.forEach((imageName) => {
+      newClassifications[imageName] = currentClass;
+    });
+
+    // Check if we're on the last class to select
+    const isLastClass = currentClassIndex === allClasses.length - 1;
+
+    if (isLastClass) {
+      // For object models, assign remaining unclassified images to "none"
+      // For state models, this should never happen since we require all images to be classified
+      if (step1Data.modelType !== "state") {
+        unknownImages.slice(0, 24).forEach((imageName) => {
+          if (!newClassifications[imageName]) {
+            newClassifications[imageName] = "none";
+          }
+        });
+      }
+
+      // All done, trigger training immediately
+      setImageClassifications(newClassifications);
+      setIsProcessing(true);
+
+      try {
+        await processClassificationsAndTrain(newClassifications);
+      } catch (error) {
+        const axiosError = error as {
+          response?: { data?: { message?: string; detail?: string } };
+          message?: string;
+        };
+        const errorMessage =
+          axiosError.response?.data?.message ||
+          axiosError.response?.data?.detail ||
+          axiosError.message ||
+          "Failed to classify images";
+
+        toast.error(
+          t("wizard.step3.errors.classifyFailed", { error: errorMessage }),
+        );
+        setIsProcessing(false);
+      }
+    } else {
+      // Move to next class
+      setImageClassifications(newClassifications);
+      setCurrentClassIndex((prev) => prev + 1);
+      setSelectedImages(new Set());
+    }
+  }, [
+    selectedImages,
+    currentClass,
+    currentClassIndex,
+    allClasses,
+    imageClassifications,
+    unknownImages,
+    step1Data,
+    processClassificationsAndTrain,
+    t,
+  ]);
+
+  const generateExamples = useCallback(async () => {
+    setIsGenerating(true);
+
+    try {
+      if (step1Data.modelType === "state") {
+        // For state models, use cameras and crop areas
+        if (!step2Data?.cameraAreas || step2Data.cameraAreas.length === 0) {
+          toast.error(t("wizard.step3.errors.noCameras"));
+          setIsGenerating(false);
+          return;
+        }
+
+        const cameras: { [key: string]: [number, number, number, number] } = {};
+        step2Data.cameraAreas.forEach((area) => {
+          cameras[area.camera] = area.crop;
+        });
+
+        await axios.post("/classification/generate_examples/state", {
+          model_name: step1Data.modelName,
+          cameras,
+        });
+      } else {
+        // For object models, use label
+        if (!step1Data.objectLabel) {
+          toast.error(t("wizard.step3.errors.noObjectLabel"));
+          setIsGenerating(false);
+          return;
+        }
+
+        // For now, use all enabled cameras
+        // TODO: In the future, we might want to let users select specific cameras
+        await axios.post("/classification/generate_examples/object", {
+          model_name: step1Data.modelName,
+          label: step1Data.objectLabel,
+        });
+      }
+
+      setHasGenerated(true);
+      toast.success(t("wizard.step3.generateSuccess"));
+
+      // Update cache key to force image reload
+      setCacheKey(Date.now());
+      await refreshTrainImages();
+    } catch (error) {
+      const axiosError = error as {
+        response?: { data?: { message?: string; detail?: string } };
+        message?: string;
+      };
+      const errorMessage =
+        axiosError.response?.data?.message ||
+        axiosError.response?.data?.detail ||
+        axiosError.message ||
+        "Failed to generate examples";
+
+      toast.error(
+        t("wizard.step3.errors.generateFailed", { error: errorMessage }),
+      );
+    } finally {
+      setIsGenerating(false);
+    }
+  }, [step1Data, step2Data, t, refreshTrainImages]);
+
+  useEffect(() => {
+    if (!hasGenerated && !isGenerating) {
+      generateExamples();
+    }
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, []);
+
+  const handleContinue = useCallback(async () => {
+    setIsProcessing(true);
+    try {
+      await processClassificationsAndTrain(imageClassifications);
+    } catch (error) {
+      const axiosError = error as {
+        response?: { data?: { message?: string; detail?: string } };
+        message?: string;
+      };
+      const errorMessage =
+        axiosError.response?.data?.message ||
+        axiosError.response?.data?.detail ||
+        axiosError.message ||
+        "Failed to classify images";
+
+      toast.error(
+        t("wizard.step3.errors.classifyFailed", { error: errorMessage }),
+      );
+      setIsProcessing(false);
+    }
+  }, [imageClassifications, processClassificationsAndTrain, t]);
+
+  const unclassifiedImages = useMemo(() => {
+    if (!unknownImages) return [];
+    const images = unknownImages.slice(0, 24);
+
+    // Only filter if we have any classifications
+    if (Object.keys(imageClassifications).length === 0) {
+      return images;
+    }
+
+    // If we're viewing a previous class (going back), show images for that class
+    // Otherwise show only unclassified images
+    const currentClassInView = allClasses[currentClassIndex];
+    return images.filter((img) => {
+      const imgClass = imageClassifications[img];
+      // Show if: unclassified OR classified with current class we're viewing
+      return !imgClass || imgClass === currentClassInView;
+    });
+  }, [unknownImages, imageClassifications, allClasses, currentClassIndex]);
+
+  const allImagesClassified = useMemo(() => {
+    return unclassifiedImages.length === 0;
+  }, [unclassifiedImages]);
+
+  const isLastClass = currentClassIndex === allClasses.length - 1;
+  const statesWithExamples = useMemo(() => {
+    if (step1Data.modelType !== "state") return new Set<string>();
+
+    const states = new Set<string>();
+    const allImages = unknownImages.slice(0, 24);
+
+    // Check which states have at least one image classified
+    allImages.forEach((img) => {
+      let className: string | undefined;
+      if (selectedImages.has(img)) {
+        className = currentClass;
+      } else {
+        className = imageClassifications[img];
+      }
+      if (className && allClasses.includes(className)) {
+        states.add(className);
+      }
+    });
+
+    return states;
+  }, [
+    step1Data.modelType,
+    unknownImages,
+    imageClassifications,
+    selectedImages,
+    currentClass,
+    allClasses,
+  ]);
+
+  const allStatesHaveExamples = useMemo(() => {
+    if (step1Data.modelType !== "state") return true;
+    return allClasses.every((className) => statesWithExamples.has(className));
+  }, [step1Data.modelType, allClasses, statesWithExamples]);
+
+  const hasUnclassifiedImages = useMemo(() => {
+    if (!unknownImages) return false;
+    const allImages = unknownImages.slice(0, 24);
+    return allImages.some((img) => !imageClassifications[img]);
+  }, [unknownImages, imageClassifications]);
+
+  const showMissingStatesWarning = useMemo(() => {
+    return (
+      step1Data.modelType === "state" &&
+      isLastClass &&
+      !allStatesHaveExamples &&
+      !hasUnclassifiedImages &&
+      hasGenerated
+    );
+  }, [
+    step1Data.modelType,
+    isLastClass,
+    allStatesHaveExamples,
+    hasUnclassifiedImages,
+    hasGenerated,
+  ]);
+
+  const handleBack = useCallback(() => {
+    if (currentClassIndex > 0) {
+      const previousClass = allClasses[currentClassIndex - 1];
+      setCurrentClassIndex((prev) => prev - 1);
+
+      // Restore selections for the previous class
+      const previousSelections = Object.entries(imageClassifications)
+        .filter(([_, className]) => className === previousClass)
+        .map(([imageName, _]) => imageName);
+      setSelectedImages(new Set(previousSelections));
+    } else {
+      onBack();
+    }
+  }, [currentClassIndex, allClasses, imageClassifications, onBack]);
+
+  return (
+    <div className="flex flex-col gap-6">
+      {isTraining ? (
+        <div className="flex flex-col items-center gap-6 py-12">
+          <ActivityIndicator className="size-12" />
+          <div className="text-center">
+            <h3 className="mb-2 text-lg font-medium">
+              {t("wizard.step3.training.title")}
+            </h3>
+            <p className="text-sm text-muted-foreground">
+              {t("wizard.step3.training.description")}
+            </p>
+          </div>
+          <Button onClick={onClose} variant="select" className="mt-4">
+            {t("button.close", { ns: "common" })}
+          </Button>
+        </div>
+      ) : isGenerating ? (
+        <div className="flex h-[50vh] flex-col items-center justify-center gap-4">
+          <ActivityIndicator className="size-12" />
+          <div className="text-center">
+            <h3 className="mb-2 text-lg font-medium">
+              {t("wizard.step3.generating.title")}
+            </h3>
+            <p className="text-sm text-muted-foreground">
+              {t("wizard.step3.generating.description")}
+            </p>
+          </div>
+        </div>
+      ) : hasGenerated ? (
+        <div className="flex flex-col gap-4">
+          {showMissingStatesWarning && (
+            <Alert variant="destructive">
+              <IoIosWarning className="size-5" />
+              <AlertTitle>
+                {t("wizard.step3.missingStatesWarning.title")}
+              </AlertTitle>
+              <AlertDescription>
+                {t("wizard.step3.missingStatesWarning.description")}
+              </AlertDescription>
+            </Alert>
+          )}
+          {!allImagesClassified && (
+            <div className="text-center">
+              <h3 className="text-lg font-medium">
+                {t("wizard.step3.selectImagesPrompt", {
+                  className: currentClass,
+                })}
+              </h3>
+              <p className="text-sm text-muted-foreground">
+                {t("wizard.step3.selectImagesDescription")}
+              </p>
+            </div>
+          )}
+          <div
+            className={cn(
+              "rounded-lg bg-secondary/30 p-4",
+              isMobile && "max-h-[60vh] overflow-y-auto",
+            )}
+          >
+            {!unknownImages || unknownImages.length === 0 ? (
+              <div className="flex h-[40vh] flex-col items-center justify-center gap-4">
+                <p className="text-muted-foreground">
+                  {t("wizard.step3.noImages")}
+                </p>
+                <Button onClick={generateExamples} variant="select">
+                  {t("wizard.step3.retryGenerate")}
+                </Button>
+              </div>
+            ) : allImagesClassified && isProcessing ? (
+              <div className="flex h-[40vh] flex-col items-center justify-center gap-4">
+                <ActivityIndicator className="size-12" />
+                <p className="text-lg font-medium">
+                  {t("wizard.step3.classifying")}
+                </p>
+              </div>
+            ) : (
+              <div className="grid grid-cols-2 gap-4 sm:grid-cols-6">
+                {unclassifiedImages.map((imageName, index) => {
+                  const isSelected = selectedImages.has(imageName);
+                  return (
+                    <div
+                      key={imageName}
+                      className={cn(
+                        "aspect-square cursor-pointer overflow-hidden rounded-lg border-2 bg-background transition-all",
+                        isSelected && "border-selected ring-2 ring-selected",
+                      )}
+                      onClick={() => toggleImageSelection(imageName)}
+                    >
+                      {!loadedImages.has(imageName) && (
+                        <div className="flex h-full items-center justify-center">
+                          <ActivityIndicator className="size-6" />
+                        </div>
+                      )}
+                      <img
+                        src={`${baseUrl}clips/${step1Data.modelName}/train/${imageName}?t=${cacheKey}`}
+                        alt={`Example ${index + 1}`}
+                        className="h-full w-full object-cover"
+                        onLoad={() => handleImageLoad(imageName)}
+                      />
+                    </div>
+                  );
+                })}
+              </div>
+            )}
+          </div>
+        </div>
+      ) : (
+        <div className="flex h-[50vh] flex-col items-center justify-center gap-4">
+          <p className="text-sm text-destructive">
+            {t("wizard.step3.errors.generationFailed")}
+          </p>
+          <Button onClick={generateExamples} variant="select">
+            {t("wizard.step3.retryGenerate")}
+          </Button>
+        </div>
+      )}
+
+      {!isTraining && (
+        <div className="flex flex-col gap-3 pt-3 sm:flex-row sm:justify-end sm:gap-4">
+          <Button type="button" onClick={handleBack} className="sm:flex-1">
+            {t("button.back", { ns: "common" })}
+          </Button>
+          <Button
+            type="button"
+            onClick={
+              allImagesClassified
+                ? handleContinue
+                : handleContinueClassification
+            }
+            variant="select"
+            className="flex items-center justify-center gap-2 sm:flex-1"
+            disabled={!hasGenerated || isGenerating || isProcessing}
+          >
+            {isProcessing && <ActivityIndicator className="size-4" />}
+            {t("button.continue", { ns: "common" })}
+          </Button>
+        </div>
+      )}
+    </div>
+  );
+}
diff --git a/web/src/components/dynamic/CameraFeatureToggle.tsx b/web/src/components/dynamic/CameraFeatureToggle.tsx
index 122178edb..5479e4297 100644
--- a/web/src/components/dynamic/CameraFeatureToggle.tsx
+++ b/web/src/components/dynamic/CameraFeatureToggle.tsx
@@ -6,6 +6,7 @@ import {
 } from "@/components/ui/tooltip";
 import { isDesktop } from "react-device-detect";
 import { cn } from "@/lib/utils";
+import ActivityIndicator from "../indicators/activity-indicator";
 
 const variants = {
   primary: {
@@ -30,7 +31,8 @@ type CameraFeatureToggleProps = {
   Icon: IconType;
   title: string;
   onClick?: () => void;
-  disabled?: boolean; // New prop for disabling
+  disabled?: boolean;
+  loading?: boolean;
 };
 
 export default function CameraFeatureToggle({
@@ -40,7 +42,8 @@ export default function CameraFeatureToggle({
   Icon,
   title,
   onClick,
-  disabled = false, // Default to false
+  disabled = false,
+  loading = false,
 }: CameraFeatureToggleProps) {
   const content = (
     <div
@@ -53,16 +56,20 @@ export default function CameraFeatureToggle({
         className,
       )}
     >
-      <Icon
-        className={cn(
-          "size-5 md:m-[6px]",
-          disabled
-            ? "text-gray-400"
-            : isActive
-              ? "text-white"
-              : "text-secondary-foreground",
-        )}
-      />
+      {loading ? (
+        <ActivityIndicator className="size-5 md:m-[6px]" />
+      ) : (
+        <Icon
+          className={cn(
+            "size-5 md:m-[6px]",
+            disabled
+              ? "text-gray-400"
+              : isActive
+                ? "text-white"
+                : "text-secondary-foreground",
+          )}
+        />
+      )}
     </div>
   );
 
diff --git a/web/src/components/filter/CalendarFilterButton.tsx b/web/src/components/filter/CalendarFilterButton.tsx
index 876eb9ab0..9f052b73d 100644
--- a/web/src/components/filter/CalendarFilterButton.tsx
+++ b/web/src/components/filter/CalendarFilterButton.tsx
@@ -18,6 +18,7 @@ import PlatformAwareDialog from "../overlay/dialog/PlatformAwareDialog";
 import { useTranslation } from "react-i18next";
 import useSWR from "swr";
 import { FrigateConfig } from "@/types/frigateConfig";
+import { useUserPersistence } from "@/hooks/use-user-persistence";
 
 type CalendarFilterButtonProps = {
   reviewSummary?: ReviewSummary;
@@ -105,6 +106,7 @@ export function CalendarRangeFilterButton({
   const { t } = useTranslation(["components/filter"]);
   const { data: config } = useSWR<FrigateConfig>("config");
   const timezone = useTimezone(config);
+  const [weekStartsOn] = useUserPersistence("weekStartsOn", 0);
   const [open, setOpen] = useState(false);
 
   const selectedDate = useFormattedRange(
@@ -138,6 +140,7 @@ export function CalendarRangeFilterButton({
         initialDateTo={range?.to}
         timezone={timezone}
         showCompare={false}
+        weekStartsOn={weekStartsOn}
         onUpdate={(range) => {
           updateSelectedRange(range.range);
           setOpen(false);
diff --git a/web/src/components/filter/CameraGroupSelector.tsx b/web/src/components/filter/CameraGroupSelector.tsx
index cd0b118c9..14845fdb8 100644
--- a/web/src/components/filter/CameraGroupSelector.tsx
+++ b/web/src/components/filter/CameraGroupSelector.tsx
@@ -7,9 +7,8 @@ import {
 import { isDesktop, isMobile } from "react-device-detect";
 import useSWR from "swr";
 import { MdHome } from "react-icons/md";
-import { usePersistedOverlayState } from "@/hooks/use-overlay-state";
 import { Button, buttonVariants } from "../ui/button";
-import { useCallback, useMemo, useState } from "react";
+import { useCallback, useEffect, useMemo, useState } from "react";
 import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
 import { LuPencil, LuPlus } from "react-icons/lu";
 import {
@@ -57,7 +56,7 @@ import { Toaster } from "@/components/ui/sonner";
 import { toast } from "sonner";
 import ActivityIndicator from "../indicators/activity-indicator";
 import { ScrollArea, ScrollBar } from "../ui/scroll-area";
-import { usePersistence } from "@/hooks/use-persistence";
+import { useUserPersistence } from "@/hooks/use-user-persistence";
 import { TooltipPortal } from "@radix-ui/react-tooltip";
 import { cn } from "@/lib/utils";
 import * as LuIcons from "react-icons/lu";
@@ -76,9 +75,10 @@ import { CameraStreamingDialog } from "../settings/CameraStreamingDialog";
 import { DialogTrigger } from "@radix-ui/react-dialog";
 import { useStreamingSettings } from "@/context/streaming-settings-provider";
 import { Trans, useTranslation } from "react-i18next";
-import { CameraNameLabel } from "../camera/CameraNameLabel";
+import { CameraNameLabel } from "../camera/FriendlyNameLabel";
 import { useAllowedCameras } from "@/hooks/use-allowed-cameras";
-import { useIsCustomRole } from "@/hooks/use-is-custom-role";
+import { useIsAdmin } from "@/hooks/use-is-admin";
+import { useUserPersistedOverlayState } from "@/hooks/use-overlay-state";
 
 type CameraGroupSelectorProps = {
   className?: string;
@@ -87,6 +87,8 @@ type CameraGroupSelectorProps = {
 export function CameraGroupSelector({ className }: CameraGroupSelectorProps) {
   const { t } = useTranslation(["components/camera"]);
   const { data: config } = useSWR<FrigateConfig>("config");
+  const allowedCameras = useAllowedCameras();
+  const isAdmin = useIsAdmin();
 
   // tooltip
 
@@ -107,9 +109,9 @@ export function CameraGroupSelector({ className }: CameraGroupSelectorProps) {
     [timeoutId],
   );
 
-  // groups
+  // groups - use user-namespaced key for persistence to avoid cross-user conflicts
 
-  const [group, setGroup, , deleteGroup] = usePersistedOverlayState(
+  const [group, setGroup, , deleteGroup] = useUserPersistedOverlayState(
     "cameraGroup",
     "default" as string,
   );
@@ -119,10 +121,22 @@ export function CameraGroupSelector({ className }: CameraGroupSelectorProps) {
       return [];
     }
 
-    return Object.entries(config.camera_groups).sort(
-      (a, b) => a[1].order - b[1].order,
-    );
-  }, [config]);
+    const allGroups = Object.entries(config.camera_groups);
+
+    // If custom role, filter out groups where user has no accessible cameras
+    if (!isAdmin) {
+      return allGroups
+        .filter(([, groupConfig]) => {
+          // Check if user has access to at least one camera in this group
+          return groupConfig.cameras.some((cameraName) =>
+            allowedCameras.includes(cameraName),
+          );
+        })
+        .sort((a, b) => a[1].order - b[1].order);
+    }
+
+    return allGroups.sort((a, b) => a[1].order - b[1].order);
+  }, [config, allowedCameras, isAdmin]);
 
   // add group
 
@@ -139,6 +153,7 @@ export function CameraGroupSelector({ className }: CameraGroupSelectorProps) {
         activeGroup={group}
         setGroup={setGroup}
         deleteGroup={deleteGroup}
+        isAdmin={isAdmin}
       />
       <Scroller className={`${isMobile ? "whitespace-nowrap" : ""}`}>
         <div
@@ -206,14 +221,16 @@ export function CameraGroupSelector({ className }: CameraGroupSelectorProps) {
             );
           })}
 
-          <Button
-            className="bg-secondary text-muted-foreground"
-            aria-label={t("group.add")}
-            size="xs"
-            onClick={() => setAddGroup(true)}
-          >
-            <LuPlus className="size-4 text-primary" />
-          </Button>
+          {isAdmin && (
+            <Button
+              className="bg-secondary text-muted-foreground"
+              aria-label={t("group.add")}
+              size="xs"
+              onClick={() => setAddGroup(true)}
+            >
+              <LuPlus className="size-4 text-primary" />
+            </Button>
+          )}
           {isMobile && <ScrollBar orientation="horizontal" className="h-0" />}
         </div>
       </Scroller>
@@ -228,6 +245,7 @@ type NewGroupDialogProps = {
   activeGroup?: string;
   setGroup: (value: string | undefined, replace?: boolean | undefined) => void;
   deleteGroup: () => void;
+  isAdmin?: boolean;
 };
 function NewGroupDialog({
   open,
@@ -236,6 +254,7 @@ function NewGroupDialog({
   activeGroup,
   setGroup,
   deleteGroup,
+  isAdmin,
 }: NewGroupDialogProps) {
   const { t } = useTranslation(["components/camera"]);
   const { mutate: updateConfig } = useSWR<FrigateConfig>("config");
@@ -257,10 +276,16 @@ function NewGroupDialog({
   const [editState, setEditState] = useState<"none" | "add" | "edit">("none");
   const [isLoading, setIsLoading] = useState(false);
 
-  const [, , , deleteGridLayout] = usePersistence(
+  const [, , , deleteGridLayout] = useUserPersistence(
     `${activeGroup}-draggable-layout`,
   );
 
+  useEffect(() => {
+    if (!open) {
+      setEditState("none");
+    }
+  }, [open]);
+
   // callbacks
 
   const onDeleteGroup = useCallback(
@@ -349,13 +374,7 @@ function NewGroupDialog({
         position="top-center"
         closeButton={true}
       />
-      <Overlay
-        open={open}
-        onOpenChange={(open) => {
-          setEditState("none");
-          setOpen(open);
-        }}
-      >
+      <Overlay open={open} onOpenChange={setOpen}>
         <Content
           className={cn(
             "scrollbar-container overflow-y-auto",
@@ -371,28 +390,30 @@ function NewGroupDialog({
               >
                 <Title>{t("group.label")}</Title>
                 <Description className="sr-only">{t("group.edit")}</Description>
-                <div
-                  className={cn(
-                    "absolute",
-                    isDesktop && "right-6 top-10",
-                    isMobile && "absolute right-0 top-4",
-                  )}
-                >
-                  <Button
-                    size="sm"
+                {isAdmin && (
+                  <div
                     className={cn(
-                      isDesktop &&
-                        "size-6 rounded-md bg-secondary-foreground p-1 text-background",
-                      isMobile && "text-secondary-foreground",
+                      "absolute",
+                      isDesktop && "right-6 top-10",
+                      isMobile && "absolute right-0 top-4",
                     )}
-                    aria-label={t("group.add")}
-                    onClick={() => {
-                      setEditState("add");
-                    }}
                   >
-                    <LuPlus />
-                  </Button>
-                </div>
+                    <Button
+                      size="sm"
+                      className={cn(
+                        isDesktop &&
+                          "size-6 rounded-md bg-secondary-foreground p-1 text-background",
+                        isMobile && "text-secondary-foreground",
+                      )}
+                      aria-label={t("group.add")}
+                      onClick={() => {
+                        setEditState("add");
+                      }}
+                    >
+                      <LuPlus />
+                    </Button>
+                  </div>
+                )}
               </Header>
               <div className="flex flex-col gap-4 md:gap-3">
                 {currentGroups.map((group) => (
@@ -401,6 +422,7 @@ function NewGroupDialog({
                     group={group}
                     onDeleteGroup={() => onDeleteGroup(group[0])}
                     onEditGroup={() => onEditGroup(group)}
+                    isReadOnly={!isAdmin}
                   />
                 ))}
               </div>
@@ -512,12 +534,14 @@ type CameraGroupRowProps = {
   group: [string, CameraGroupConfig];
   onDeleteGroup: () => void;
   onEditGroup: () => void;
+  isReadOnly?: boolean;
 };
 
 export function CameraGroupRow({
   group,
   onDeleteGroup,
   onEditGroup,
+  isReadOnly,
 }: CameraGroupRowProps) {
   const { t } = useTranslation(["components/camera"]);
   const [deleteDialogOpen, setDeleteDialogOpen] = useState(false);
@@ -564,7 +588,7 @@ export function CameraGroupRow({
           </AlertDialogContent>
         </AlertDialog>
 
-        {isMobile && (
+        {isMobile && !isReadOnly && (
           <>
             <DropdownMenu modal={!isDesktop}>
               <DropdownMenuTrigger>
@@ -589,7 +613,7 @@ export function CameraGroupRow({
             </DropdownMenu>
           </>
         )}
-        {!isMobile && (
+        {!isMobile && !isReadOnly && (
           <div className="flex flex-row items-center gap-2">
             <Tooltip>
               <TooltipTrigger asChild>
@@ -653,7 +677,7 @@ export function CameraGroupEdit({
     );
 
   const allowedCameras = useAllowedCameras();
-  const isCustomRole = useIsCustomRole();
+  const isAdmin = useIsAdmin();
 
   const [openCamera, setOpenCamera] = useState<string | null>();
 
@@ -843,7 +867,7 @@ export function CameraGroupEdit({
                 <FormMessage />
                 {[
                   ...(birdseyeConfig?.enabled &&
-                  (!isCustomRole || "birdseye" in allowedCameras)
+                  (isAdmin || "birdseye" in allowedCameras)
                     ? ["birdseye"]
                     : []),
                   ...Object.keys(config?.cameras ?? {})
diff --git a/web/src/components/filter/CamerasFilterButton.tsx b/web/src/components/filter/CamerasFilterButton.tsx
index 93b8a8651..cc89e13cf 100644
--- a/web/src/components/filter/CamerasFilterButton.tsx
+++ b/web/src/components/filter/CamerasFilterButton.tsx
@@ -13,6 +13,7 @@ import { Drawer, DrawerContent, DrawerTrigger } from "../ui/drawer";
 import FilterSwitch from "./FilterSwitch";
 import { FaVideo } from "react-icons/fa";
 import { useTranslation } from "react-i18next";
+import { useAllowedCameras } from "@/hooks/use-allowed-cameras";
 
 type CameraFilterButtonProps = {
   allCameras: string[];
@@ -35,6 +36,30 @@ export function CamerasFilterButton({
   const [currentCameras, setCurrentCameras] = useState<string[] | undefined>(
     selectedCameras,
   );
+  const allowedCameras = useAllowedCameras();
+
+  // Filter cameras to only include those the user has access to
+  const filteredCameras = useMemo(
+    () => allCameras.filter((camera) => allowedCameras.includes(camera)),
+    [allCameras, allowedCameras],
+  );
+
+  // Filter groups to only include those with at least one allowed camera
+  const filteredGroups = useMemo(
+    () =>
+      groups
+        .map(([name, config]) => {
+          const allowedGroupCameras = config.cameras.filter((camera) =>
+            allowedCameras.includes(camera),
+          );
+          return [name, { ...config, cameras: allowedGroupCameras }] as [
+            string,
+            CameraGroupConfig,
+          ];
+        })
+        .filter(([, config]) => config.cameras.length > 0),
+    [groups, allowedCameras],
+  );
 
   const buttonText = useMemo(() => {
     if (isMobile) {
@@ -79,8 +104,8 @@ export function CamerasFilterButton({
   );
   const content = (
     <CamerasFilterContent
-      allCameras={allCameras}
-      groups={groups}
+      allCameras={filteredCameras}
+      groups={filteredGroups}
       currentCameras={currentCameras}
       mainCamera={mainCamera}
       setCurrentCameras={setCurrentCameras}
@@ -190,7 +215,7 @@ export function CamerasFilterContent({
               key={item}
               isChecked={currentCameras?.includes(item) ?? false}
               label={item}
-              isCameraName={true}
+              type={"camera"}
               disabled={
                 mainCamera !== undefined &&
                 currentCameras !== undefined &&
diff --git a/web/src/components/filter/FilterSwitch.tsx b/web/src/components/filter/FilterSwitch.tsx
index fa8709d96..d282b9e12 100644
--- a/web/src/components/filter/FilterSwitch.tsx
+++ b/web/src/components/filter/FilterSwitch.tsx
@@ -1,29 +1,39 @@
 import { Switch } from "../ui/switch";
 import { Label } from "../ui/label";
-import { CameraNameLabel } from "../camera/CameraNameLabel";
+import { CameraNameLabel, ZoneNameLabel } from "../camera/FriendlyNameLabel";
 
 type FilterSwitchProps = {
   label: string;
   disabled?: boolean;
   isChecked: boolean;
   isCameraName?: boolean;
+  type?: string;
+  extraValue?: string;
   onCheckedChange: (checked: boolean) => void;
 };
 export default function FilterSwitch({
   label,
   disabled = false,
   isChecked,
-  isCameraName = false,
+  type = "",
+  extraValue = "",
   onCheckedChange,
 }: FilterSwitchProps) {
   return (
     <div className="flex items-center justify-between gap-1">
-      {isCameraName ? (
+      {type === "camera" ? (
         <CameraNameLabel
           className={`mx-2 w-full cursor-pointer text-sm font-medium leading-none text-primary smart-capitalize peer-disabled:cursor-not-allowed peer-disabled:opacity-70 ${disabled ? "text-secondary-foreground" : ""}`}
           htmlFor={label}
           camera={label}
         />
+      ) : type === "zone" ? (
+        <ZoneNameLabel
+          className={`mx-2 w-full cursor-pointer text-sm font-medium leading-none text-primary smart-capitalize peer-disabled:cursor-not-allowed peer-disabled:opacity-70 ${disabled ? "text-secondary-foreground" : ""}`}
+          htmlFor={label}
+          camera={extraValue}
+          zone={label}
+        />
       ) : (
         <Label
           className={`mx-2 w-full cursor-pointer text-primary smart-capitalize ${disabled ? "text-secondary-foreground" : ""}`}
diff --git a/web/src/components/filter/ReviewActionGroup.tsx b/web/src/components/filter/ReviewActionGroup.tsx
index f91f75461..31c5a56f4 100644
--- a/web/src/components/filter/ReviewActionGroup.tsx
+++ b/web/src/components/filter/ReviewActionGroup.tsx
@@ -1,10 +1,11 @@
-import { FaCircleCheck } from "react-icons/fa6";
+import { FaCircleCheck, FaCircleXmark } from "react-icons/fa6";
 import { useCallback, useState } from "react";
 import axios from "axios";
 import { Button, buttonVariants } from "../ui/button";
 import { isDesktop } from "react-device-detect";
 import { FaCompactDisc } from "react-icons/fa";
 import { HiTrash } from "react-icons/hi";
+import { ReviewSegment } from "@/types/review";
 import {
   AlertDialog,
   AlertDialogAction,
@@ -18,10 +19,11 @@ import {
 import useKeyboardListener from "@/hooks/use-keyboard-listener";
 import { Trans, useTranslation } from "react-i18next";
 import { toast } from "sonner";
+import { useIsAdmin } from "@/hooks/use-is-admin";
 
 type ReviewActionGroupProps = {
-  selectedReviews: string[];
-  setSelectedReviews: (ids: string[]) => void;
+  selectedReviews: ReviewSegment[];
+  setSelectedReviews: (reviews: ReviewSegment[]) => void;
   onExport: (id: string) => void;
   pullLatestData: () => void;
 };
@@ -32,19 +34,29 @@ export default function ReviewActionGroup({
   pullLatestData,
 }: ReviewActionGroupProps) {
   const { t } = useTranslation(["components/dialog"]);
+  const isAdmin = useIsAdmin();
   const onClearSelected = useCallback(() => {
     setSelectedReviews([]);
   }, [setSelectedReviews]);
 
-  const onMarkAsReviewed = useCallback(async () => {
-    await axios.post(`reviews/viewed`, { ids: selectedReviews });
+  const allReviewed = selectedReviews.every(
+    (review) => review.has_been_reviewed,
+  );
+
+  const onToggleReviewed = useCallback(async () => {
+    const ids = selectedReviews.map((review) => review.id);
+    await axios.post(`reviews/viewed`, {
+      ids,
+      reviewed: !allReviewed,
+    });
     setSelectedReviews([]);
     pullLatestData();
-  }, [selectedReviews, setSelectedReviews, pullLatestData]);
+  }, [selectedReviews, setSelectedReviews, pullLatestData, allReviewed]);
 
   const onDelete = useCallback(() => {
+    const ids = selectedReviews.map((review) => review.id);
     axios
-      .post(`reviews/delete`, { ids: selectedReviews })
+      .post(`reviews/delete`, { ids })
       .then((resp) => {
         if (resp.status === 200) {
           toast.success(t("recording.confirmDelete.toast.success"), {
@@ -140,7 +152,7 @@ export default function ReviewActionGroup({
               aria-label={t("recording.button.export")}
               size="sm"
               onClick={() => {
-                onExport(selectedReviews[0]);
+                onExport(selectedReviews[0].id);
                 onClearSelected();
               }}
             >
@@ -154,32 +166,44 @@ export default function ReviewActionGroup({
           )}
           <Button
             className="flex items-center gap-2 p-2"
-            aria-label={t("recording.button.markAsReviewed")}
+            aria-label={
+              allReviewed
+                ? t("recording.button.markAsUnreviewed")
+                : t("recording.button.markAsReviewed")
+            }
             size="sm"
-            onClick={onMarkAsReviewed}
+            onClick={onToggleReviewed}
           >
-            <FaCircleCheck className="text-secondary-foreground" />
+            {allReviewed ? (
+              <FaCircleXmark className="text-secondary-foreground" />
+            ) : (
+              <FaCircleCheck className="text-secondary-foreground" />
+            )}
             {isDesktop && (
               <div className="text-primary">
-                {t("recording.button.markAsReviewed")}
-              </div>
-            )}
-          </Button>
-          <Button
-            className="flex items-center gap-2 p-2"
-            aria-label={t("button.delete", { ns: "common" })}
-            size="sm"
-            onClick={handleDelete}
-          >
-            <HiTrash className="text-secondary-foreground" />
-            {isDesktop && (
-              <div className="text-primary">
-                {bypassDialog
-                  ? t("recording.button.deleteNow")
-                  : t("button.delete", { ns: "common" })}
+                {allReviewed
+                  ? t("recording.button.markAsUnreviewed")
+                  : t("recording.button.markAsReviewed")}
               </div>
             )}
           </Button>
+          {isAdmin && (
+            <Button
+              className="flex items-center gap-2 p-2"
+              aria-label={t("button.delete", { ns: "common" })}
+              size="sm"
+              onClick={handleDelete}
+            >
+              <HiTrash className="text-secondary-foreground" />
+              {isDesktop && (
+                <div className="text-primary">
+                  {bypassDialog
+                    ? t("recording.button.deleteNow")
+                    : t("button.delete", { ns: "common" })}
+                </div>
+              )}
+            </Button>
+          )}
         </div>
       </div>
     </>
diff --git a/web/src/components/filter/ReviewFilterGroup.tsx b/web/src/components/filter/ReviewFilterGroup.tsx
index ba5f2eb22..76274ec3f 100644
--- a/web/src/components/filter/ReviewFilterGroup.tsx
+++ b/web/src/components/filter/ReviewFilterGroup.tsx
@@ -454,6 +454,24 @@ export function GeneralFilterContent({
   onClose,
 }: GeneralFilterContentProps) {
   const { t } = useTranslation(["components/filter", "views/events"]);
+  const { data: config } = useSWR<FrigateConfig>("config", {
+    revalidateOnFocus: false,
+  });
+  const allAudioListenLabels = useMemo<string[]>(() => {
+    if (!config) {
+      return [];
+    }
+
+    const labels = new Set<string>();
+    Object.values(config.cameras).forEach((camera) => {
+      if (camera?.audio?.enabled) {
+        camera.audio.listen.forEach((label) => {
+          labels.add(label);
+        });
+      }
+    });
+    return [...labels].sort();
+  }, [config]);
   return (
     <>
       <div className="scrollbar-container h-auto max-h-[80dvh] overflow-y-auto overflow-x-hidden">
@@ -495,8 +513,7 @@ export function GeneralFilterContent({
             checked={filter.labels === undefined}
             onCheckedChange={(isChecked) => {
               if (isChecked) {
-                const { labels: _labels, ...rest } = filter;
-                onUpdateFilter(rest);
+                onUpdateFilter({ ...filter, labels: undefined });
               }
             }}
           />
@@ -505,7 +522,10 @@ export function GeneralFilterContent({
           {allLabels.map((item) => (
             <FilterSwitch
               key={item}
-              label={getTranslatedLabel(item)}
+              label={getTranslatedLabel(
+                item,
+                allAudioListenLabels.includes(item) ? "audio" : "object",
+              )}
               isChecked={filter.labels?.includes(item) ?? false}
               onCheckedChange={(isChecked) => {
                 if (isChecked) {
@@ -542,8 +562,7 @@ export function GeneralFilterContent({
                 checked={filter.zones === undefined}
                 onCheckedChange={(isChecked) => {
                   if (isChecked) {
-                    const { zones: _zones, ...rest } = filter;
-                    onUpdateFilter(rest);
+                    onUpdateFilter({ ...filter, zones: undefined });
                   }
                 }}
               />
@@ -552,7 +571,8 @@ export function GeneralFilterContent({
               {allZones.map((item) => (
                 <FilterSwitch
                   key={item}
-                  label={item.replaceAll("_", " ")}
+                  label={item}
+                  type={"zone"}
                   isChecked={filter.zones?.includes(item) ?? false}
                   onCheckedChange={(isChecked) => {
                     if (isChecked) {
diff --git a/web/src/components/filter/SearchActionGroup.tsx b/web/src/components/filter/SearchActionGroup.tsx
index 0ba024792..62a3dc648 100644
--- a/web/src/components/filter/SearchActionGroup.tsx
+++ b/web/src/components/filter/SearchActionGroup.tsx
@@ -16,18 +16,24 @@ import {
 import useKeyboardListener from "@/hooks/use-keyboard-listener";
 import { toast } from "sonner";
 import { Trans, useTranslation } from "react-i18next";
+import { useIsAdmin } from "@/hooks/use-is-admin";
 
 type SearchActionGroupProps = {
   selectedObjects: string[];
   setSelectedObjects: (ids: string[]) => void;
   pullLatestData: () => void;
+  onSelectAllObjects: () => void;
+  totalItems: number;
 };
 export default function SearchActionGroup({
   selectedObjects,
   setSelectedObjects,
   pullLatestData,
+  onSelectAllObjects,
+  totalItems,
 }: SearchActionGroupProps) {
   const { t } = useTranslation(["components/filter"]);
+  const isAdmin = useIsAdmin();
   const onClearSelected = useCallback(() => {
     setSelectedObjects([]);
   }, [setSelectedObjects]);
@@ -122,24 +128,37 @@ export default function SearchActionGroup({
           >
             {t("button.unselect", { ns: "common" })}
           </div>
-        </div>
-        <div className="flex items-center gap-1 md:gap-2">
-          <Button
-            className="flex items-center gap-2 p-2"
-            aria-label={t("button.delete", { ns: "common" })}
-            size="sm"
-            onClick={handleDelete}
-          >
-            <HiTrash className="text-secondary-foreground" />
-            {isDesktop && (
-              <div className="text-primary">
-                {bypassDialog
-                  ? t("button.deleteNow", { ns: "common" })
-                  : t("button.delete", { ns: "common" })}
+          {selectedObjects.length < totalItems && (
+            <>
+              <div className="p-1">{"|"}</div>
+              <div
+                className="cursor-pointer p-2 text-primary hover:rounded-lg hover:bg-secondary"
+                onClick={onSelectAllObjects}
+              >
+                {t("select_all", { ns: "views/events" })}
               </div>
-            )}
-          </Button>
+            </>
+          )}
         </div>
+        {isAdmin && (
+          <div className="flex items-center gap-1 md:gap-2">
+            <Button
+              className="flex items-center gap-2 p-2"
+              aria-label={t("button.delete", { ns: "common" })}
+              size="sm"
+              onClick={handleDelete}
+            >
+              <HiTrash className="text-secondary-foreground" />
+              {isDesktop && (
+                <div className="text-primary">
+                  {bypassDialog
+                    ? t("button.deleteNow", { ns: "common" })
+                    : t("button.delete", { ns: "common" })}
+                </div>
+              )}
+            </Button>
+          </div>
+        )}
       </div>
     </>
   );
diff --git a/web/src/components/filter/SearchFilterGroup.tsx b/web/src/components/filter/SearchFilterGroup.tsx
index b96ed7dd7..fe9a70e18 100644
--- a/web/src/components/filter/SearchFilterGroup.tsx
+++ b/web/src/components/filter/SearchFilterGroup.tsx
@@ -251,11 +251,30 @@ function GeneralFilterButton({
   updateLabelFilter,
 }: GeneralFilterButtonProps) {
   const { t } = useTranslation(["components/filter"]);
+  const { data: config } = useSWR<FrigateConfig>("config", {
+    revalidateOnFocus: false,
+  });
   const [open, setOpen] = useState(false);
   const [currentLabels, setCurrentLabels] = useState<string[] | undefined>(
     selectedLabels,
   );
 
+  const allAudioListenLabels = useMemo<Set<string>>(() => {
+    if (!config) {
+      return new Set<string>();
+    }
+
+    const labels = new Set<string>();
+    Object.values(config.cameras).forEach((camera) => {
+      if (camera?.audio?.enabled) {
+        camera.audio.listen.forEach((label) => {
+          labels.add(label);
+        });
+      }
+    });
+    return labels;
+  }, [config]);
+
   const buttonText = useMemo(() => {
     if (isMobile) {
       return t("labels.all.short");
@@ -266,13 +285,17 @@ function GeneralFilterButton({
     }
 
     if (selectedLabels.length == 1) {
-      return getTranslatedLabel(selectedLabels[0]);
+      const label = selectedLabels[0];
+      return getTranslatedLabel(
+        label,
+        allAudioListenLabels.has(label) ? "audio" : "object",
+      );
     }
 
     return t("labels.count", {
       count: selectedLabels.length,
     });
-  }, [selectedLabels, t]);
+  }, [selectedLabels, allAudioListenLabels, t]);
 
   // ui
 
@@ -314,11 +337,10 @@ function GeneralFilterButton({
     <PlatformAwareDialog
       trigger={trigger}
       content={content}
-      contentClassName={
-        isDesktop
-          ? "scrollbar-container h-auto max-h-[80dvh] overflow-y-auto"
-          : "max-h-[75dvh] overflow-hidden p-4"
-      }
+      contentClassName={cn(
+        "scrollbar-container h-auto overflow-y-auto",
+        isDesktop ? "max-h-[80dvh]" : "px-4",
+      )}
       open={open}
       onOpenChange={(open) => {
         if (!open) {
@@ -348,6 +370,26 @@ export function GeneralFilterContent({
   onClose,
 }: GeneralFilterContentProps) {
   const { t } = useTranslation(["components/filter"]);
+  const { data: config } = useSWR<FrigateConfig>("config", {
+    revalidateOnFocus: false,
+  });
+
+  const allAudioListenLabels = useMemo<string[]>(() => {
+    if (!config) {
+      return [];
+    }
+
+    const labels = new Set<string>();
+    Object.values(config.cameras).forEach((camera) => {
+      if (camera?.audio?.enabled) {
+        camera.audio.listen.forEach((label) => {
+          labels.add(label);
+        });
+      }
+    });
+    return [...labels].sort();
+  }, [config]);
+
   return (
     <>
       <div className="overflow-x-hidden">
@@ -373,7 +415,10 @@ export function GeneralFilterContent({
           {allLabels.map((item) => (
             <FilterSwitch
               key={item}
-              label={getTranslatedLabel(item)}
+              label={getTranslatedLabel(
+                item,
+                allAudioListenLabels.includes(item) ? "audio" : "object",
+              )}
               isChecked={currentLabels?.includes(item) ?? false}
               onCheckedChange={(isChecked) => {
                 if (isChecked) {
@@ -487,11 +532,10 @@ function SortTypeButton({
     <PlatformAwareDialog
       trigger={trigger}
       content={content}
-      contentClassName={
-        isDesktop
-          ? "scrollbar-container h-auto max-h-[80dvh] overflow-y-auto"
-          : "max-h-[75dvh] overflow-hidden p-4"
-      }
+      contentClassName={cn(
+        "scrollbar-container h-auto overflow-y-auto",
+        isDesktop ? "max-h-[80dvh]" : "px-4",
+      )}
       open={open}
       onOpenChange={(open) => {
         if (!open) {
@@ -549,9 +593,8 @@ export function SortTypeContent({
             className="w-full space-y-1"
           >
             {availableSortTypes.map((value) => (
-              <div className="flex flex-row gap-2">
+              <div key={value} className="flex flex-row gap-2">
                 <RadioGroupItem
-                  key={value}
                   value={value}
                   id={`sort-${value}`}
                   className={
diff --git a/web/src/components/indicators/StepIndicator.tsx b/web/src/components/indicators/StepIndicator.tsx
index a6255fd0f..282527f42 100644
--- a/web/src/components/indicators/StepIndicator.tsx
+++ b/web/src/components/indicators/StepIndicator.tsx
@@ -4,17 +4,43 @@ import { useTranslation } from "react-i18next";
 type StepIndicatorProps = {
   steps: string[];
   currentStep: number;
-  translationNameSpace: string;
+  variant?: "default" | "dots";
+  translationNameSpace?: string;
+  className?: string;
 };
+
 export default function StepIndicator({
   steps,
   currentStep,
+  variant = "default",
   translationNameSpace,
+  className,
 }: StepIndicatorProps) {
   const { t } = useTranslation(translationNameSpace);
 
+  if (variant == "dots") {
+    return (
+      <div className={cn("flex flex-row justify-center gap-2", className)}>
+        {steps.map((_, idx) => (
+          <div
+            key={idx}
+            className={cn(
+              "size-3 rounded-full border border-primary/10 transition-colors",
+              currentStep === idx
+                ? "bg-selected"
+                : currentStep > idx
+                  ? "bg-muted-foreground"
+                  : "bg-muted",
+            )}
+          />
+        ))}
+      </div>
+    );
+  }
+
+  // Default variant (original behavior)
   return (
-    <div className="flex flex-row justify-evenly">
+    <div className={cn("flex flex-row justify-evenly", className)}>
       {steps.map((name, idx) => (
         <div key={idx} className="flex flex-col items-center gap-2">
           <div
diff --git a/web/src/components/input/InputWithTags.tsx b/web/src/components/input/InputWithTags.tsx
index 1c65fe9bb..70f1cd0c9 100755
--- a/web/src/components/input/InputWithTags.tsx
+++ b/web/src/components/input/InputWithTags.tsx
@@ -37,7 +37,7 @@ import {
 import { cn } from "@/lib/utils";
 import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
 import { TooltipPortal } from "@radix-ui/react-tooltip";
-import { usePersistence } from "@/hooks/use-persistence";
+import { useUserPersistence } from "@/hooks/use-user-persistence";
 import { SaveSearchDialog } from "./SaveSearchDialog";
 import { DeleteSearchDialog } from "./DeleteSearchDialog";
 import {
@@ -53,7 +53,7 @@ import { FrigateConfig } from "@/types/frigateConfig";
 import { MdImageSearch } from "react-icons/md";
 import { useTranslation } from "react-i18next";
 import { getTranslatedLabel } from "@/utils/i18n";
-import { CameraNameLabel } from "../camera/CameraNameLabel";
+import { CameraNameLabel, ZoneNameLabel } from "../camera/FriendlyNameLabel";
 
 type InputWithTagsProps = {
   inputFocused: boolean;
@@ -81,6 +81,43 @@ export default function InputWithTags({
     revalidateOnFocus: false,
   });
 
+  const allAudioListenLabels = useMemo<Set<string>>(() => {
+    if (!config) {
+      return new Set<string>();
+    }
+
+    const labels = new Set<string>();
+    Object.values(config.cameras).forEach((camera) => {
+      if (camera?.audio?.enabled) {
+        camera.audio.listen.forEach((label) => {
+          labels.add(label);
+        });
+      }
+    });
+    return labels;
+  }, [config]);
+
+  const translatedAudioLabelMap = useMemo<Map<string, string>>(() => {
+    const map = new Map<string, string>();
+    if (!config) return map;
+
+    allAudioListenLabels.forEach((label) => {
+      // getTranslatedLabel likely depends on i18n internally; including `lang`
+      // in deps ensures this map is rebuilt when language changes
+      map.set(label, getTranslatedLabel(label, "audio"));
+    });
+    return map;
+  }, [allAudioListenLabels, config]);
+
+  function resolveLabel(value: string) {
+    const mapped = translatedAudioLabelMap.get(value);
+    if (mapped) return mapped;
+    return getTranslatedLabel(
+      value,
+      allAudioListenLabels.has(value) ? "audio" : "object",
+    );
+  }
+
   const [inputValue, setInputValue] = useState(search || "");
   const [currentFilterType, setCurrentFilterType] = useState<FilterType | null>(
     null,
@@ -91,9 +128,8 @@ export default function InputWithTags({
 
   // TODO: search history from browser storage
 
-  const [searchHistory, setSearchHistory, searchHistoryLoaded] = usePersistence<
-    SavedSearchQuery[]
-  >("frigate-search-history");
+  const [searchHistory, setSearchHistory, searchHistoryLoaded] =
+    useUserPersistence<SavedSearchQuery[]>("frigate-search-history");
 
   const [isSaveDialogOpen, setIsSaveDialogOpen] = useState(false);
   const [isDeleteDialogOpen, setIsDeleteDialogOpen] = useState(false);
@@ -363,7 +399,7 @@ export default function InputWithTags({
             newFilters.sort = value as SearchSortType;
             break;
           default:
-            // Handle array types (cameras, labels, subLabels, zones)
+            // Handle array types (cameras, labels, sub_labels, attributes, zones)
             if (!newFilters[type]) newFilters[type] = [];
             if (Array.isArray(newFilters[type])) {
               if (!(newFilters[type] as string[]).includes(value)) {
@@ -421,7 +457,8 @@ export default function InputWithTags({
         ? t("button.yes", { ns: "common" })
         : t("button.no", { ns: "common" });
     } else if (filterType === "labels") {
-      return getTranslatedLabel(String(filterValues));
+      const value = String(filterValues);
+      return resolveLabel(value);
     } else if (filterType === "search_type") {
       return t("filter.searchType." + String(filterValues));
     } else {
@@ -828,9 +865,11 @@ export default function InputWithTags({
                           >
                             {t("filter.label." + filterType)}:{" "}
                             {filterType === "labels" ? (
-                              getTranslatedLabel(value)
+                              resolveLabel(value)
                             ) : filterType === "cameras" ? (
                               <CameraNameLabel camera={value} />
+                            ) : filterType === "zones" ? (
+                              <ZoneNameLabel zone={value} />
                             ) : (
                               value.replaceAll("_", " ")
                             )}
@@ -934,6 +973,11 @@ export default function InputWithTags({
                         <CameraNameLabel camera={suggestion} />
                         {")"}
                       </>
+                    ) : currentFilterType === "zones" ? (
+                      <>
+                        {suggestion} {" ("} <ZoneNameLabel zone={suggestion} />
+                        {")"}
+                      </>
                     ) : (
                       suggestion
                     )
@@ -943,6 +987,8 @@ export default function InputWithTags({
                       {currentFilterType ? (
                         currentFilterType === "cameras" ? (
                           <CameraNameLabel camera={suggestion} />
+                        ) : currentFilterType === "zones" ? (
+                          <ZoneNameLabel zone={suggestion} />
                         ) : (
                           formatFilterValues(currentFilterType, suggestion)
                         )
diff --git a/web/src/components/input/NameAndIdFields.tsx b/web/src/components/input/NameAndIdFields.tsx
new file mode 100644
index 000000000..c78a2917b
--- /dev/null
+++ b/web/src/components/input/NameAndIdFields.tsx
@@ -0,0 +1,139 @@
+import { Control, FieldValues, Path, PathValue } from "react-hook-form";
+import {
+  FormField,
+  FormItem,
+  FormLabel,
+  FormControl,
+  FormDescription,
+  FormMessage,
+} from "@/components/ui/form";
+import { Input } from "@/components/ui/input";
+import { useState, useEffect, useRef } from "react";
+import { useFormContext } from "react-hook-form";
+import { generateFixedHash, isValidId } from "@/utils/stringUtil";
+import { useTranslation } from "react-i18next";
+
+type NameAndIdFieldsProps<T extends FieldValues = FieldValues> = {
+  control: Control<T>;
+  type?: string;
+  nameField: Path<T>;
+  idField: Path<T>;
+  nameLabel: string;
+  nameDescription?: string;
+  idLabel?: string;
+  idDescription?: string;
+  processId?: (name: string) => string;
+  placeholderName?: string;
+  placeholderId?: string;
+  idVisible?: boolean;
+};
+
+export default function NameAndIdFields<T extends FieldValues = FieldValues>({
+  control,
+  type,
+  nameField,
+  idField,
+  nameLabel,
+  nameDescription,
+  idLabel,
+  idDescription,
+  processId,
+  placeholderName,
+  placeholderId,
+  idVisible,
+}: NameAndIdFieldsProps<T>) {
+  const { t } = useTranslation(["common"]);
+  const { watch, setValue, trigger, formState } = useFormContext<T>();
+  const [isIdVisible, setIsIdVisible] = useState(idVisible ?? false);
+  const hasUserTypedRef = useRef(false);
+
+  const defaultProcessId = (name: string) => {
+    const normalized = name.replace(/\s+/g, "_").toLowerCase();
+    if (isValidId(normalized)) {
+      return normalized;
+    } else {
+      return generateFixedHash(name, type);
+    }
+  };
+
+  const effectiveProcessId = processId || defaultProcessId;
+
+  useEffect(() => {
+    const subscription = watch((value, { name }) => {
+      if (name === nameField) {
+        hasUserTypedRef.current = true;
+        const processedId = effectiveProcessId(value[nameField] || "");
+        setValue(idField, processedId as PathValue<T, Path<T>>);
+        trigger(idField);
+      }
+    });
+    return () => subscription.unsubscribe();
+  }, [watch, setValue, trigger, nameField, idField, effectiveProcessId]);
+
+  // Auto-expand if there's an error on the ID field after user has typed
+  useEffect(() => {
+    const idError = formState.errors[idField];
+    if (idError && hasUserTypedRef.current && !isIdVisible) {
+      setIsIdVisible(true);
+    }
+  }, [formState.errors, idField, isIdVisible]);
+
+  return (
+    <>
+      <FormField
+        control={control}
+        name={nameField}
+        render={({ field }) => (
+          <FormItem>
+            <div className="flex items-center justify-between">
+              <FormLabel>{nameLabel}</FormLabel>
+              <span
+                className="cursor-pointer text-right text-xs text-muted-foreground"
+                onClick={() => setIsIdVisible(!isIdVisible)}
+              >
+                {isIdVisible
+                  ? t("label.hide", { item: idLabel ?? t("label.ID") })
+                  : t("label.show", {
+                      item: idLabel ?? t("label.ID"),
+                    })}
+              </span>
+            </div>
+            <FormControl>
+              <Input
+                className="text-md"
+                placeholder={placeholderName}
+                {...field}
+              />
+            </FormControl>
+            {nameDescription && (
+              <FormDescription>{nameDescription}</FormDescription>
+            )}
+            <FormMessage />
+          </FormItem>
+        )}
+      />
+      {isIdVisible && (
+        <FormField
+          control={control}
+          name={idField}
+          render={({ field }) => (
+            <FormItem>
+              <FormLabel>{idLabel ?? t("label.ID")}</FormLabel>
+              <FormControl>
+                <Input
+                  className="text-md"
+                  placeholder={placeholderId}
+                  {...field}
+                />
+              </FormControl>
+              <FormDescription>
+                {idDescription ?? t("field.internalID")}
+              </FormDescription>
+              <FormMessage />
+            </FormItem>
+          )}
+        />
+      )}
+    </>
+  );
+}
diff --git a/web/src/components/menu/AccountSettings.tsx b/web/src/components/menu/AccountSettings.tsx
index 723aa0ccc..e5a367391 100644
--- a/web/src/components/menu/AccountSettings.tsx
+++ b/web/src/components/menu/AccountSettings.tsx
@@ -42,19 +42,27 @@ export default function AccountSettings({ className }: AccountSettingsProps) {
   const logoutUrl = config?.proxy?.logout_url || `${baseUrl}api/logout`;
 
   const [passwordDialogOpen, setPasswordDialogOpen] = useState(false);
+  const [passwordError, setPasswordError] = useState<string | null>(null);
+  const [isPasswordLoading, setIsPasswordLoading] = useState(false);
 
   const Container = isDesktop ? DropdownMenu : Drawer;
   const Trigger = isDesktop ? DropdownMenuTrigger : DrawerTrigger;
   const Content = isDesktop ? DropdownMenuContent : DrawerContent;
   const MenuItem = isDesktop ? DropdownMenuItem : DrawerClose;
 
-  const handlePasswordSave = async (password: string) => {
+  const handlePasswordSave = async (password: string, oldPassword?: string) => {
     if (!profile?.username || profile.username === "anonymous") return;
+    setIsPasswordLoading(true);
     axios
-      .put(`users/${profile.username}/password`, { password })
+      .put(`users/${profile.username}/password`, {
+        password,
+        old_password: oldPassword,
+      })
       .then((response) => {
         if (response.status === 200) {
           setPasswordDialogOpen(false);
+          setPasswordError(null);
+          setIsPasswordLoading(false);
           toast.success(t("users.toast.success.updatePassword"), {
             position: "top-center",
           });
@@ -65,14 +73,10 @@ export default function AccountSettings({ className }: AccountSettingsProps) {
           error.response?.data?.message ||
           error.response?.data?.detail ||
           "Unknown error";
-        toast.error(
-          t("users.toast.error.setPasswordFailed", {
-            errorMessage,
-          }),
-          {
-            position: "top-center",
-          },
-        );
+
+        // Keep dialog open and show error
+        setPasswordError(errorMessage);
+        setIsPasswordLoading(false);
       });
   };
 
@@ -154,8 +158,13 @@ export default function AccountSettings({ className }: AccountSettingsProps) {
       <SetPasswordDialog
         show={passwordDialogOpen}
         onSave={handlePasswordSave}
-        onCancel={() => setPasswordDialogOpen(false)}
+        onCancel={() => {
+          setPasswordDialogOpen(false);
+          setPasswordError(null);
+        }}
+        initialError={passwordError}
         username={profile?.username}
+        isLoading={isPasswordLoading}
       />
     </Container>
   );
diff --git a/web/src/components/menu/GeneralSettings.tsx b/web/src/components/menu/GeneralSettings.tsx
index 16c6eb9f8..1788bce84 100644
--- a/web/src/components/menu/GeneralSettings.tsx
+++ b/web/src/components/menu/GeneralSettings.tsx
@@ -116,13 +116,22 @@ export default function GeneralSettings({ className }: GeneralSettingsProps) {
   const SubItemContent = isDesktop ? DropdownMenuSubContent : DialogContent;
   const Portal = isDesktop ? DropdownMenuPortal : DialogPortal;
 
-  const handlePasswordSave = async (password: string) => {
+  const [passwordError, setPasswordError] = useState<string | null>(null);
+  const [isPasswordLoading, setIsPasswordLoading] = useState(false);
+
+  const handlePasswordSave = async (password: string, oldPassword?: string) => {
     if (!profile?.username || profile.username === "anonymous") return;
+    setIsPasswordLoading(true);
     axios
-      .put(`users/${profile.username}/password`, { password })
+      .put(`users/${profile.username}/password`, {
+        password,
+        old_password: oldPassword,
+      })
       .then((response) => {
         if (response.status === 200) {
           setPasswordDialogOpen(false);
+          setPasswordError(null);
+          setIsPasswordLoading(false);
           toast.success(
             t("users.toast.success.updatePassword", {
               ns: "views/settings",
@@ -138,15 +147,10 @@ export default function GeneralSettings({ className }: GeneralSettingsProps) {
           error.response?.data?.message ||
           error.response?.data?.detail ||
           "Unknown error";
-        toast.error(
-          t("users.toast.error.setPasswordFailed", {
-            ns: "views/settings",
-            errorMessage,
-          }),
-          {
-            position: "top-center",
-          },
-        );
+
+        // Keep dialog open and show error
+        setPasswordError(errorMessage);
+        setIsPasswordLoading(false);
       });
   };
 
@@ -554,8 +558,13 @@ export default function GeneralSettings({ className }: GeneralSettingsProps) {
       <SetPasswordDialog
         show={passwordDialogOpen}
         onSave={handlePasswordSave}
-        onCancel={() => setPasswordDialogOpen(false)}
+        onCancel={() => {
+          setPasswordDialogOpen(false);
+          setPasswordError(null);
+        }}
+        initialError={passwordError}
         username={profile?.username}
+        isLoading={isPasswordLoading}
       />
     </>
   );
diff --git a/web/src/components/menu/LiveContextMenu.tsx b/web/src/components/menu/LiveContextMenu.tsx
index aaf43c087..671506712 100644
--- a/web/src/components/menu/LiveContextMenu.tsx
+++ b/web/src/components/menu/LiveContextMenu.tsx
@@ -47,7 +47,8 @@ import {
 import { useTranslation } from "react-i18next";
 import { useDateLocale } from "@/hooks/use-date-locale";
 import { useIsAdmin } from "@/hooks/use-is-admin";
-import { CameraNameLabel } from "../camera/CameraNameLabel";
+import { CameraNameLabel } from "../camera/FriendlyNameLabel";
+import { LiveStreamMetadata } from "@/types/live";
 
 type LiveContextMenuProps = {
   className?: string;
@@ -68,6 +69,7 @@ type LiveContextMenuProps = {
   resetPreferredLiveMode: () => void;
   config?: FrigateConfig;
   children?: ReactNode;
+  streamMetadata?: { [key: string]: LiveStreamMetadata };
 };
 export default function LiveContextMenu({
   className,
@@ -88,6 +90,7 @@ export default function LiveContextMenu({
   resetPreferredLiveMode,
   config,
   children,
+  streamMetadata,
 }: LiveContextMenuProps) {
   const { t } = useTranslation("views/live");
   const [showSettings, setShowSettings] = useState(false);
@@ -558,6 +561,7 @@ export default function LiveContextMenu({
           setGroupStreamingSettings={setGroupStreamingSettings}
           setIsDialogOpen={setShowSettings}
           onSave={onSave}
+          streamMetadata={streamMetadata}
         />
       </Dialog>
     </div>
diff --git a/web/src/components/menu/SearchResultActions.tsx b/web/src/components/menu/SearchResultActions.tsx
index 2c928becf..2313b5a03 100644
--- a/web/src/components/menu/SearchResultActions.tsx
+++ b/web/src/components/menu/SearchResultActions.tsx
@@ -4,12 +4,7 @@ import { FrigateConfig } from "@/types/frigateConfig";
 import { baseUrl } from "@/api/baseUrl";
 import { toast } from "sonner";
 import axios from "axios";
-import { LuCamera, LuDownload, LuTrash2 } from "react-icons/lu";
 import { FiMoreVertical } from "react-icons/fi";
-import { FaArrowsRotate } from "react-icons/fa6";
-import { MdImageSearch } from "react-icons/md";
-import FrigatePlusIcon from "@/components/icons/FrigatePlusIcon";
-import { isMobileOnly } from "react-device-detect";
 import { buttonVariants } from "@/components/ui/button";
 import {
   ContextMenu,
@@ -33,22 +28,16 @@ import {
   AlertDialogHeader,
   AlertDialogTitle,
 } from "@/components/ui/alert-dialog";
-import {
-  Tooltip,
-  TooltipContent,
-  TooltipTrigger,
-} from "@/components/ui/tooltip";
 import useSWR from "swr";
-
 import { Trans, useTranslation } from "react-i18next";
-import { BsFillLightningFill } from "react-icons/bs";
+import BlurredIconButton from "../button/BlurredIconButton";
+import { useIsAdmin } from "@/hooks/use-is-admin";
 
 type SearchResultActionsProps = {
   searchResult: SearchResult;
   findSimilar: () => void;
   refreshResults: () => void;
-  showObjectLifecycle: () => void;
-  showSnapshot: () => void;
+  showTrackingDetails: () => void;
   addTrigger: () => void;
   isContextMenu?: boolean;
   children?: ReactNode;
@@ -58,13 +47,13 @@ export default function SearchResultActions({
   searchResult,
   findSimilar,
   refreshResults,
-  showObjectLifecycle,
-  showSnapshot,
+  showTrackingDetails,
   addTrigger,
   isContextMenu = false,
   children,
 }: SearchResultActionsProps) {
   const { t } = useTranslation(["views/explore"]);
+  const isAdmin = useIsAdmin();
 
   const { data: config } = useSWR<FrigateConfig>("config");
 
@@ -106,7 +95,6 @@ export default function SearchResultActions({
             href={`${baseUrl}api/events/${searchResult.id}/clip.mp4`}
             download={`${searchResult.camera}_${searchResult.label}.mp4`}
           >
-            <LuDownload className="mr-2 size-4" />
             <span>{t("itemMenu.downloadVideo.label")}</span>
           </a>
         </MenuItem>
@@ -118,60 +106,57 @@ export default function SearchResultActions({
             href={`${baseUrl}api/events/${searchResult.id}/snapshot.jpg`}
             download={`${searchResult.camera}_${searchResult.label}.jpg`}
           >
-            <LuCamera className="mr-2 size-4" />
             <span>{t("itemMenu.downloadSnapshot.label")}</span>
           </a>
         </MenuItem>
       )}
+      {searchResult.has_snapshot &&
+        config?.cameras[searchResult.camera].snapshots.clean_copy && (
+          <MenuItem aria-label={t("itemMenu.downloadCleanSnapshot.aria")}>
+            <a
+              className="flex items-center"
+              href={`${baseUrl}api/events/${searchResult.id}/snapshot-clean.webp`}
+              download={`${searchResult.camera}_${searchResult.label}-clean.webp`}
+            >
+              <span>{t("itemMenu.downloadCleanSnapshot.label")}</span>
+            </a>
+          </MenuItem>
+        )}
       {searchResult.data.type == "object" && (
         <MenuItem
-          aria-label={t("itemMenu.viewObjectLifecycle.aria")}
-          onClick={showObjectLifecycle}
+          aria-label={t("itemMenu.viewTrackingDetails.aria")}
+          onClick={showTrackingDetails}
         >
-          <FaArrowsRotate className="mr-2 size-4" />
-          <span>{t("itemMenu.viewObjectLifecycle.label")}</span>
-        </MenuItem>
-      )}
-      {config?.semantic_search?.enabled && isContextMenu && (
-        <MenuItem
-          aria-label={t("itemMenu.findSimilar.aria")}
-          onClick={findSimilar}
-        >
-          <MdImageSearch className="mr-2 size-4" />
-          <span>{t("itemMenu.findSimilar.label")}</span>
+          <span>{t("itemMenu.viewTrackingDetails.label")}</span>
         </MenuItem>
       )}
       {config?.semantic_search?.enabled &&
+        searchResult.data.type == "object" && (
+          <MenuItem
+            aria-label={t("itemMenu.findSimilar.aria")}
+            onClick={findSimilar}
+          >
+            <span>{t("itemMenu.findSimilar.label")}</span>
+          </MenuItem>
+        )}
+      {isAdmin &&
+        config?.semantic_search?.enabled &&
         searchResult.data.type == "object" && (
           <MenuItem
             aria-label={t("itemMenu.addTrigger.aria")}
             onClick={addTrigger}
           >
-            <BsFillLightningFill className="mr-2 size-4" />
             <span>{t("itemMenu.addTrigger.label")}</span>
           </MenuItem>
         )}
-      {isMobileOnly &&
-        config?.plus?.enabled &&
-        searchResult.has_snapshot &&
-        searchResult.end_time &&
-        searchResult.data.type == "object" &&
-        !searchResult.plus_id && (
-          <MenuItem
-            aria-label={t("itemMenu.submitToPlus.aria")}
-            onClick={showSnapshot}
-          >
-            <FrigatePlusIcon className="mr-2 size-4 cursor-pointer text-primary" />
-            <span>{t("itemMenu.submitToPlus.label")}</span>
-          </MenuItem>
-        )}
-      <MenuItem
-        aria-label={t("itemMenu.deleteTrackedObject.label")}
-        onClick={() => setDeleteDialogOpen(true)}
-      >
-        <LuTrash2 className="mr-2 size-4" />
-        <span>{t("button.delete", { ns: "common" })}</span>
-      </MenuItem>
+      {isAdmin && (
+        <MenuItem
+          aria-label={t("itemMenu.deleteTrackedObject.label")}
+          onClick={() => setDeleteDialogOpen(true)}
+        >
+          <span>{t("button.delete", { ns: "common" })}</span>
+        </MenuItem>
+      )}
     </>
   );
 
@@ -204,49 +189,17 @@ export default function SearchResultActions({
         </AlertDialogContent>
       </AlertDialog>
       {isContextMenu ? (
-        <ContextMenu>
+        <ContextMenu modal={false}>
           <ContextMenuTrigger>{children}</ContextMenuTrigger>
           <ContextMenuContent>{menuItems}</ContextMenuContent>
         </ContextMenu>
       ) : (
         <>
-          {config?.semantic_search?.enabled &&
-            searchResult.data.type == "object" && (
-              <Tooltip>
-                <TooltipTrigger>
-                  <MdImageSearch
-                    className="size-5 cursor-pointer text-primary-variant hover:text-primary"
-                    onClick={findSimilar}
-                  />
-                </TooltipTrigger>
-                <TooltipContent>
-                  {t("itemMenu.findSimilar.label")}
-                </TooltipContent>
-              </Tooltip>
-            )}
-
-          {!isMobileOnly &&
-            config?.plus?.enabled &&
-            searchResult.has_snapshot &&
-            searchResult.end_time &&
-            searchResult.data.type == "object" &&
-            !searchResult.plus_id && (
-              <Tooltip>
-                <TooltipTrigger>
-                  <FrigatePlusIcon
-                    className="size-5 cursor-pointer text-primary-variant hover:text-primary"
-                    onClick={showSnapshot}
-                  />
-                </TooltipTrigger>
-                <TooltipContent>
-                  {t("itemMenu.submitToPlus.label")}
-                </TooltipContent>
-              </Tooltip>
-            )}
-
-          <DropdownMenu>
-            <DropdownMenuTrigger>
-              <FiMoreVertical className="size-5 cursor-pointer text-primary-variant hover:text-primary" />
+          <DropdownMenu modal={false}>
+            <DropdownMenuTrigger asChild>
+              <BlurredIconButton aria-label={t("itemMenu.more.aria")}>
+                <FiMoreVertical className="size-5" />
+              </BlurredIconButton>
             </DropdownMenuTrigger>
             <DropdownMenuContent align="end">{menuItems}</DropdownMenuContent>
           </DropdownMenu>
diff --git a/web/src/components/mobile/MobilePage.tsx b/web/src/components/mobile/MobilePage.tsx
index b5084d65a..4b6c41c7a 100644
--- a/web/src/components/mobile/MobilePage.tsx
+++ b/web/src/components/mobile/MobilePage.tsx
@@ -4,6 +4,7 @@ import {
   useEffect,
   useState,
   useCallback,
+  useRef,
 } from "react";
 import { createPortal } from "react-dom";
 import { motion, AnimatePresence } from "framer-motion";
@@ -12,7 +13,7 @@ import { cn } from "@/lib/utils";
 import { isPWA } from "@/utils/isPWA";
 import { Button } from "@/components/ui/button";
 import { useTranslation } from "react-i18next";
-import { useLocation } from "react-router-dom";
+import { useHistoryBack } from "@/hooks/use-history-back";
 
 const MobilePageContext = createContext<{
   open: boolean;
@@ -23,15 +24,16 @@ type MobilePageProps = {
   children: React.ReactNode;
   open?: boolean;
   onOpenChange?: (open: boolean) => void;
+  enableHistoryBack?: boolean;
 };
 
 export function MobilePage({
   children,
   open: controlledOpen,
   onOpenChange,
+  enableHistoryBack = true,
 }: MobilePageProps) {
   const [uncontrolledOpen, setUncontrolledOpen] = useState(false);
-  const location = useLocation();
 
   const open = controlledOpen ?? uncontrolledOpen;
   const setOpen = useCallback(
@@ -45,33 +47,12 @@ export function MobilePage({
     [onOpenChange, setUncontrolledOpen],
   );
 
-  useEffect(() => {
-    let isActive = true;
-
-    if (open && isActive) {
-      window.history.pushState({ isMobilePage: true }, "", location.pathname);
-    }
-
-    const handlePopState = (event: PopStateEvent) => {
-      if (open && isActive) {
-        event.preventDefault();
-        setOpen(false);
-        // Delay replaceState to ensure state updates are processed
-        setTimeout(() => {
-          if (isActive) {
-            window.history.replaceState(null, "", location.pathname);
-          }
-        }, 0);
-      }
-    };
-
-    window.addEventListener("popstate", handlePopState);
-
-    return () => {
-      isActive = false;
-      window.removeEventListener("popstate", handlePopState);
-    };
-  }, [open, setOpen, location.pathname]);
+  // Handle browser back button to close mobile page
+  useHistoryBack({
+    enabled: enableHistoryBack,
+    open,
+    onClose: () => setOpen(false),
+  });
 
   return (
     <MobilePageContext.Provider value={{ open, onOpenChange: setOpen }}>
@@ -121,17 +102,20 @@ export function MobilePagePortal({
 type MobilePageContentProps = {
   children: React.ReactNode;
   className?: string;
+  scrollerRef?: React.RefObject<HTMLDivElement>;
 };
 
 export function MobilePageContent({
   children,
   className,
+  scrollerRef,
 }: MobilePageContentProps) {
   const context = useContext(MobilePageContext);
   if (!context)
     throw new Error("MobilePageContent must be used within MobilePage");
 
   const [isVisible, setIsVisible] = useState(context.open);
+  const containerRef = useRef<HTMLDivElement | null>(null);
 
   useEffect(() => {
     if (context.open) {
@@ -140,15 +124,27 @@ export function MobilePageContent({
   }, [context.open]);
 
   const handleAnimationComplete = () => {
-    if (!context.open) {
+    if (context.open) {
+      // After opening animation completes, ensure scroller is at the top
+      if (scrollerRef?.current) {
+        scrollerRef.current.scrollTop = 0;
+      }
+    } else {
       setIsVisible(false);
     }
   };
 
+  useEffect(() => {
+    if (context.open && scrollerRef?.current) {
+      scrollerRef.current.scrollTop = 0;
+    }
+  }, [context.open, scrollerRef]);
+
   return (
     <AnimatePresence>
       {isVisible && (
         <motion.div
+          ref={containerRef}
           className={cn(
             "fixed inset-0 z-50 mb-12 bg-background",
             isPWA && "mb-16",
diff --git a/web/src/components/navigation/NavItem.tsx b/web/src/components/navigation/NavItem.tsx
index f8ee7eb0d..204e7a9dd 100644
--- a/web/src/components/navigation/NavItem.tsx
+++ b/web/src/components/navigation/NavItem.tsx
@@ -46,13 +46,13 @@ export default function NavItem({
       onClick={onClick}
       className={({ isActive }) =>
         cn(
-          "flex flex-col items-center justify-center rounded-lg",
+          "flex flex-col items-center justify-center rounded-lg p-[6px]",
           className,
           variants[item.variant ?? "primary"][isActive ? "active" : "inactive"],
         )
       }
     >
-      <Icon className="size-5 md:m-[6px]" />
+      <Icon className="size-5" />
     </NavLink>
   );
 
diff --git a/web/src/components/overlay/ClassificationSelectionDialog.tsx b/web/src/components/overlay/ClassificationSelectionDialog.tsx
index f86ced19a..6398348a4 100644
--- a/web/src/components/overlay/ClassificationSelectionDialog.tsx
+++ b/web/src/components/overlay/ClassificationSelectionDialog.tsx
@@ -20,15 +20,14 @@ import {
   TooltipTrigger,
 } from "@/components/ui/tooltip";
 import { isDesktop, isMobile } from "react-device-detect";
-import { LuPlus } from "react-icons/lu";
 import { useTranslation } from "react-i18next";
 import { cn } from "@/lib/utils";
 import React, { ReactNode, useCallback, useMemo, useState } from "react";
 import TextEntryDialog from "./dialog/TextEntryDialog";
 import { Button } from "../ui/button";
-import { MdCategory } from "react-icons/md";
 import axios from "axios";
 import { toast } from "sonner";
+import { Separator } from "../ui/separator";
 
 type ClassificationSelectionDialogProps = {
   className?: string;
@@ -97,15 +96,13 @@ export default function ClassificationSelectionDialog({
       );
 
   return (
-    <div className={className ?? ""}>
-      {newClass && (
-        <TextEntryDialog
-          open={true}
-          setOpen={setNewClass}
-          title={t("createCategory.new")}
-          onSave={(newCat) => onCategorizeImage(newCat)}
-        />
-      )}
+    <div className={className ?? "flex"}>
+      <TextEntryDialog
+        open={newClass}
+        setOpen={setNewClass}
+        title={t("createCategory.new")}
+        onSave={(newCat) => onCategorizeImage(newCat)}
+      />
 
       <Tooltip>
         <Selector>
@@ -128,23 +125,24 @@ export default function ClassificationSelectionDialog({
                 isMobile && "gap-2 pb-4",
               )}
             >
-              <SelectorItem
-                className="flex cursor-pointer gap-2 smart-capitalize"
-                onClick={() => setNewClass(true)}
-              >
-                <LuPlus />
-                {t("createCategory.new")}
-              </SelectorItem>
               {classes.sort().map((category) => (
                 <SelectorItem
                   key={category}
                   className="flex cursor-pointer gap-2 smart-capitalize"
                   onClick={() => onCategorizeImage(category)}
                 >
-                  <MdCategory />
-                  {category.replaceAll("_", " ")}
+                  {category === "none"
+                    ? t("details.none")
+                    : category.replaceAll("_", " ")}
                 </SelectorItem>
               ))}
+              <Separator />
+              <SelectorItem
+                className="flex cursor-pointer gap-2 smart-capitalize"
+                onClick={() => setNewClass(true)}
+              >
+                {t("createCategory.new")}
+              </SelectorItem>
             </div>
           </SelectorContent>
         </Selector>
diff --git a/web/src/components/overlay/CreateRoleDialog.tsx b/web/src/components/overlay/CreateRoleDialog.tsx
index 11418fbce..0b10f1c9d 100644
--- a/web/src/components/overlay/CreateRoleDialog.tsx
+++ b/web/src/components/overlay/CreateRoleDialog.tsx
@@ -25,7 +25,7 @@ import {
 } from "@/components/ui/dialog";
 import { useTranslation } from "react-i18next";
 import { FrigateConfig } from "@/types/frigateConfig";
-import { CameraNameLabel } from "../camera/CameraNameLabel";
+import { CameraNameLabel } from "../camera/FriendlyNameLabel";
 import { isDesktop, isMobile } from "react-device-detect";
 import { cn } from "@/lib/utils";
 import {
diff --git a/web/src/components/overlay/CreateTriggerDialog.tsx b/web/src/components/overlay/CreateTriggerDialog.tsx
index 620d3fe62..ef30c649d 100644
--- a/web/src/components/overlay/CreateTriggerDialog.tsx
+++ b/web/src/components/overlay/CreateTriggerDialog.tsx
@@ -47,6 +47,7 @@ import {
   MobilePageHeader,
   MobilePageTitle,
 } from "../mobile/MobilePage";
+import NameAndIdFields from "@/components/input/NameAndIdFields";
 
 type CreateTriggerDialogProps = {
   show: boolean;
@@ -78,6 +79,15 @@ export default function CreateTriggerDialog({
   const { t } = useTranslation("views/settings");
   const { data: config } = useSWR<FrigateConfig>("config");
 
+  const availableActions = useMemo(() => {
+    if (!config) return [];
+
+    if (config.cameras[selectedCamera].notifications.enabled_in_config) {
+      return ["notification", "sub_label", "attribute"];
+    }
+    return ["sub_label", "attribute"];
+  }, [config, selectedCamera]);
+
   const existingTriggerNames = useMemo(() => {
     if (
       !config ||
@@ -89,6 +99,19 @@ export default function CreateTriggerDialog({
     return Object.keys(config.cameras[selectedCamera].semantic_search.triggers);
   }, [config, selectedCamera]);
 
+  const existingTriggerFriendlyNames = useMemo(() => {
+    if (
+      !config ||
+      !selectedCamera ||
+      !config.cameras[selectedCamera]?.semantic_search?.triggers
+    ) {
+      return [];
+    }
+    return Object.values(
+      config.cameras[selectedCamera].semantic_search.triggers,
+    ).map((trigger) => trigger.friendly_name);
+  }, [config, selectedCamera]);
+
   const formSchema = z.object({
     enabled: z.boolean(),
     name: z
@@ -103,14 +126,22 @@ export default function CreateTriggerDialog({
           !existingTriggerNames.includes(value) || value === trigger?.name,
         t("triggers.dialog.form.name.error.alreadyExists"),
       ),
-    friendly_name: z.string().optional(),
+    friendly_name: z
+      .string()
+      .min(2, t("triggers.dialog.form.name.error.minLength"))
+      .refine(
+        (value) =>
+          !existingTriggerFriendlyNames.includes(value) ||
+          value === trigger?.friendly_name,
+        t("triggers.dialog.form.name.error.alreadyExists"),
+      ),
     type: z.enum(["thumbnail", "description"]),
     data: z.string().min(1, t("triggers.dialog.form.content.error.required")),
     threshold: z
       .number()
       .min(0, t("triggers.dialog.form.threshold.error.min"))
       .max(1, t("triggers.dialog.form.threshold.error.max")),
-    actions: z.array(z.enum(["notification"])),
+    actions: z.array(z.enum(["notification", "sub_label", "attribute"])),
   });
 
   const form = useForm<z.infer<typeof formSchema>>({
@@ -128,7 +159,7 @@ export default function CreateTriggerDialog({
   });
 
   const onSubmit = async (values: z.infer<typeof formSchema>) => {
-    if (trigger) {
+    if (trigger && existingTriggerNames.includes(trigger.name)) {
       onEdit({ ...values });
     } else {
       onCreate(
@@ -138,7 +169,7 @@ export default function CreateTriggerDialog({
         values.data,
         values.threshold,
         values.actions,
-        values.friendly_name ?? "",
+        values.friendly_name,
       );
     }
   };
@@ -159,7 +190,7 @@ export default function CreateTriggerDialog({
         {
           enabled: trigger.enabled,
           name: trigger.name,
-          friendly_name: trigger.friendly_name ?? "",
+          friendly_name: trigger.friendly_name ?? trigger.name,
           type: trigger.type,
           data: trigger.data,
           threshold: trigger.threshold,
@@ -219,47 +250,15 @@ export default function CreateTriggerDialog({
             onSubmit={form.handleSubmit(onSubmit)}
             className="space-y-5 pt-4"
           >
-            <FormField
+            <NameAndIdFields
+              type="trigger"
               control={form.control}
-              name="name"
-              render={({ field }) => (
-                <FormItem>
-                  <FormLabel>{t("triggers.dialog.form.name.title")}</FormLabel>
-                  <FormControl>
-                    <Input
-                      placeholder={t("triggers.dialog.form.name.placeholder")}
-                      className="h-10"
-                      {...field}
-                    />
-                  </FormControl>
-                  <FormMessage />
-                </FormItem>
-              )}
-            />
-
-            <FormField
-              control={form.control}
-              name="friendly_name"
-              render={({ field }) => (
-                <FormItem>
-                  <FormLabel>
-                    {t("triggers.dialog.form.friendly_name.title")}
-                  </FormLabel>
-                  <FormControl>
-                    <Input
-                      placeholder={t(
-                        "triggers.dialog.form.friendly_name.placeholder",
-                      )}
-                      className="h-10"
-                      {...field}
-                    />
-                  </FormControl>
-                  <FormDescription>
-                    {t("triggers.dialog.form.friendly_name.description")}
-                  </FormDescription>
-                  <FormMessage />
-                </FormItem>
-              )}
+              nameField="friendly_name"
+              idField="name"
+              nameLabel={t("triggers.dialog.form.name.title")}
+              nameDescription={t("triggers.dialog.form.name.description")}
+              placeholderName={t("triggers.dialog.form.name.placeholder")}
+              idVisible={!!trigger}
             />
 
             <FormField
@@ -269,7 +268,7 @@ export default function CreateTriggerDialog({
                 <FormItem className="flex flex-row items-center justify-between">
                   <div className="space-y-0.5">
                     <FormLabel className="text-base">
-                      {t("enabled", { ns: "common" })}
+                      {t("button.enabled", { ns: "common" })}
                     </FormLabel>
                     <div className="text-sm text-muted-foreground">
                       {t("triggers.dialog.form.enabled.description")}
@@ -335,9 +334,6 @@ export default function CreateTriggerDialog({
                           camera={selectedCamera}
                         />
                       </FormControl>
-                      <FormDescription>
-                        {t("triggers.dialog.form.content.imageDesc")}
-                      </FormDescription>
                     </>
                   ) : (
                     <>
@@ -397,8 +393,11 @@ export default function CreateTriggerDialog({
                     {t("triggers.dialog.form.actions.title")}
                   </FormLabel>
                   <div className="space-y-2">
-                    {["notification"].map((action) => (
-                      <div key={action} className="flex items-center space-x-2">
+                    {availableActions.map((action) => (
+                      <label
+                        key={action}
+                        className="flex cursor-pointer items-center space-x-2"
+                      >
                         <FormControl>
                           <Checkbox
                             checked={form
@@ -420,10 +419,10 @@ export default function CreateTriggerDialog({
                             }}
                           />
                         </FormControl>
-                        <FormLabel className="text-sm font-normal">
+                        <span className="text-sm font-normal">
                           {t(`triggers.actions.${action}`)}
-                        </FormLabel>
-                      </div>
+                        </span>
+                      </label>
                     ))}
                   </div>
                   <FormDescription>
@@ -455,7 +454,7 @@ export default function CreateTriggerDialog({
                   >
                     {isLoading ? (
                       <div className="flex flex-row items-center gap-2">
-                        <ActivityIndicator />
+                        <ActivityIndicator className="size-5" />
                         <span>{t("button.saving", { ns: "common" })}</span>
                       </div>
                     ) : (
diff --git a/web/src/components/overlay/CreateUserDialog.tsx b/web/src/components/overlay/CreateUserDialog.tsx
index 0b2e3a89e..6f2b3ecf3 100644
--- a/web/src/components/overlay/CreateUserDialog.tsx
+++ b/web/src/components/overlay/CreateUserDialog.tsx
@@ -13,7 +13,8 @@ import { zodResolver } from "@hookform/resolvers/zod";
 import { useForm } from "react-hook-form";
 import { z } from "zod";
 import ActivityIndicator from "../indicators/activity-indicator";
-import { useEffect, useState } from "react";
+import { useEffect, useState, useMemo } from "react";
+import useSWR from "swr";
 import {
   Dialog,
   DialogContent,
@@ -35,6 +36,7 @@ import { LuCheck, LuX } from "react-icons/lu";
 import { useTranslation } from "react-i18next";
 import { isDesktop, isMobile } from "react-device-detect";
 import { cn } from "@/lib/utils";
+import { FrigateConfig } from "@/types/frigateConfig";
 import {
   MobilePage,
   MobilePageContent,
@@ -54,9 +56,15 @@ export default function CreateUserDialog({
   onCreate,
   onCancel,
 }: CreateUserOverlayProps) {
+  const { data: config } = useSWR<FrigateConfig>("config");
   const { t } = useTranslation(["views/settings"]);
   const [isLoading, setIsLoading] = useState<boolean>(false);
 
+  const roles = useMemo(() => {
+    const existingRoles = config ? Object.keys(config.auth?.roles || {}) : [];
+    return Array.from(new Set(["admin", "viewer", ...(existingRoles || [])]));
+  }, [config]);
+
   const formSchema = z
     .object({
       user: z
@@ -69,7 +77,7 @@ export default function CreateUserDialog({
       confirmPassword: z
         .string()
         .min(1, t("users.dialog.createUser.confirmPassword")),
-      role: z.enum(["admin", "viewer"]),
+      role: z.string().min(1),
     })
     .refine((data) => data.password === data.confirmPassword, {
       message: t("users.dialog.form.password.notMatch"),
@@ -246,24 +254,22 @@ export default function CreateUserDialog({
                       </SelectTrigger>
                     </FormControl>
                     <SelectContent>
-                      <SelectItem
-                        value="admin"
-                        className="flex items-center gap-2"
-                      >
-                        <div className="flex items-center gap-2">
-                          <Shield className="h-4 w-4 text-primary" />
-                          <span>{t("role.admin", { ns: "common" })}</span>
-                        </div>
-                      </SelectItem>
-                      <SelectItem
-                        value="viewer"
-                        className="flex items-center gap-2"
-                      >
-                        <div className="flex items-center gap-2">
-                          <User className="h-4 w-4 text-muted-foreground" />
-                          <span>{t("role.viewer", { ns: "common" })}</span>
-                        </div>
-                      </SelectItem>
+                      {roles.map((r) => (
+                        <SelectItem
+                          value={r}
+                          key={r}
+                          className="flex items-center gap-2"
+                        >
+                          <div className="flex items-center gap-2">
+                            {r === "admin" ? (
+                              <Shield className="h-4 w-4 text-primary" />
+                            ) : (
+                              <User className="h-4 w-4 text-muted-foreground" />
+                            )}
+                            <span>{t(`role.${r}`, { ns: "common" }) || r}</span>
+                          </div>
+                        </SelectItem>
+                      ))}
                     </SelectContent>
                   </Select>
                   <FormDescription className="text-xs text-muted-foreground">
diff --git a/web/src/components/overlay/EditRoleCamerasDialog.tsx b/web/src/components/overlay/EditRoleCamerasDialog.tsx
index 7aee546df..059de4a78 100644
--- a/web/src/components/overlay/EditRoleCamerasDialog.tsx
+++ b/web/src/components/overlay/EditRoleCamerasDialog.tsx
@@ -24,7 +24,7 @@ import {
 } from "@/components/ui/dialog";
 import { Trans, useTranslation } from "react-i18next";
 import { FrigateConfig } from "@/types/frigateConfig";
-import { CameraNameLabel } from "@/components/camera/CameraNameLabel";
+import { CameraNameLabel } from "@/components/camera/FriendlyNameLabel";
 
 type EditRoleCamerasOverlayProps = {
   show: boolean;
diff --git a/web/src/components/overlay/ExportDialog.tsx b/web/src/components/overlay/ExportDialog.tsx
index c0c0e4538..b8b5b9911 100644
--- a/web/src/components/overlay/ExportDialog.tsx
+++ b/web/src/components/overlay/ExportDialog.tsx
@@ -95,6 +95,11 @@ export default function ExportDialog({
         if (response.status == 200) {
           toast.success(t("export.toast.success"), {
             position: "top-center",
+            action: (
+              <a href="/export" target="_blank" rel="noopener noreferrer">
+                <Button>{t("export.toast.view")}</Button>
+              </a>
+            ),
           });
           setName("");
           setRange(undefined);
@@ -435,6 +440,7 @@ function CustomTimeSelector({
       <FaCalendarAlt />
       <div className="flex flex-wrap items-center">
         <Popover
+          modal={false}
           open={startOpen}
           onOpenChange={(open) => {
             if (!open) {
@@ -456,7 +462,10 @@ function CustomTimeSelector({
               {formattedStart}
             </Button>
           </PopoverTrigger>
-          <PopoverContent className="flex flex-col items-center">
+          <PopoverContent
+            disablePortal={isDesktop}
+            className="flex flex-col items-center"
+          >
             <TimezoneAwareCalendar
               timezone={config?.ui.timezone}
               selectedDay={new Date(startTime * 1000)}
@@ -501,6 +510,7 @@ function CustomTimeSelector({
         </Popover>
         <FaArrowRight className="size-4 text-primary" />
         <Popover
+          modal={false}
           open={endOpen}
           onOpenChange={(open) => {
             if (!open) {
@@ -522,7 +532,10 @@ function CustomTimeSelector({
               {formattedEnd}
             </Button>
           </PopoverTrigger>
-          <PopoverContent className="flex flex-col items-center">
+          <PopoverContent
+            disablePortal={isDesktop}
+            className="flex flex-col items-center"
+          >
             <TimezoneAwareCalendar
               timezone={config?.ui.timezone}
               selectedDay={new Date(endTime * 1000)}
@@ -540,7 +553,7 @@ function CustomTimeSelector({
             <SelectSeparator className="bg-secondary" />
             <input
               className="text-md mx-4 w-full border border-input bg-background p-1 text-secondary-foreground hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
-              id="startTime"
+              id="endTime"
               type="time"
               value={endClock}
               step={isIOS ? "60" : "1"}
diff --git a/web/src/components/overlay/FaceSelectionDialog.tsx b/web/src/components/overlay/FaceSelectionDialog.tsx
index 3644ff1cf..78cf7ce12 100644
--- a/web/src/components/overlay/FaceSelectionDialog.tsx
+++ b/web/src/components/overlay/FaceSelectionDialog.tsx
@@ -12,6 +12,7 @@ import {
   DropdownMenuContent,
   DropdownMenuItem,
   DropdownMenuLabel,
+  DropdownMenuSeparator,
   DropdownMenuTrigger,
 } from "@/components/ui/dropdown-menu";
 import {
@@ -20,7 +21,6 @@ import {
   TooltipTrigger,
 } from "@/components/ui/tooltip";
 import { isDesktop, isMobile } from "react-device-detect";
-import { LuPlus, LuScanFace } from "react-icons/lu";
 import { useTranslation } from "react-i18next";
 import { cn } from "@/lib/utils";
 import React, { ReactNode, useMemo, useState } from "react";
@@ -62,7 +62,7 @@ export default function FaceSelectionDialog({
       );
 
   return (
-    <div className={className ?? ""}>
+    <div className={className ?? "flex"}>
       {newFace && (
         <TextEntryDialog
           open={true}
@@ -89,27 +89,26 @@ export default function FaceSelectionDialog({
             <DropdownMenuLabel>{t("trainFaceAs")}</DropdownMenuLabel>
             <div
               className={cn(
-                "flex max-h-[40dvh] flex-col overflow-y-auto",
+                "flex max-h-[40dvh] flex-col overflow-y-auto overflow-x-hidden",
                 isMobile && "gap-2 pb-4",
               )}
             >
-              <SelectorItem
-                className="flex cursor-pointer gap-2 smart-capitalize"
-                onClick={() => setNewFace(true)}
-              >
-                <LuPlus />
-                {t("createFaceLibrary.new")}
-              </SelectorItem>
               {faceNames.sort().map((faceName) => (
                 <SelectorItem
                   key={faceName}
                   className="flex cursor-pointer gap-2 smart-capitalize"
                   onClick={() => onTrainAttempt(faceName)}
                 >
-                  <LuScanFace />
                   {faceName}
                 </SelectorItem>
               ))}
+              <DropdownMenuSeparator />
+              <SelectorItem
+                className="flex cursor-pointer gap-2 smart-capitalize"
+                onClick={() => setNewFace(true)}
+              >
+                {t("createFaceLibrary.new")}
+              </SelectorItem>
             </div>
           </SelectorContent>
         </Selector>
diff --git a/web/src/components/overlay/ImagePicker.tsx b/web/src/components/overlay/ImagePicker.tsx
index 408338d0d..2f7c88953 100644
--- a/web/src/components/overlay/ImagePicker.tsx
+++ b/web/src/components/overlay/ImagePicker.tsx
@@ -15,25 +15,33 @@ import { cn } from "@/lib/utils";
 import { Event } from "@/types/event";
 import { useApiHost } from "@/api";
 import { isDesktop, isMobile } from "react-device-detect";
+import ActivityIndicator from "../indicators/activity-indicator";
 
 type ImagePickerProps = {
   selectedImageId?: string;
   setSelectedImageId?: (id: string) => void;
   camera: string;
+  limit?: number;
+  direct?: boolean;
+  className?: string;
 };
 
 export default function ImagePicker({
   selectedImageId,
   setSelectedImageId,
   camera,
+  limit = 100,
+  direct = false,
+  className,
 }: ImagePickerProps) {
-  const { t } = useTranslation(["components/dialog"]);
+  const { t } = useTranslation(["components/dialog", "views/settings"]);
   const [open, setOpen] = useState(false);
   const containerRef = useRef<HTMLDivElement>(null);
   const [searchTerm, setSearchTerm] = useState("");
+  const [loadedImages, setLoadedImages] = useState<Set<string>>(new Set());
 
   const { data: events } = useSWR<Event[]>(
-    `events?camera=${camera}&limit=100`,
+    `events?camera=${camera}&limit=${limit}`,
     {
       revalidateOnFocus: false,
     },
@@ -62,12 +70,77 @@ export default function ImagePicker({
       if (setSelectedImageId) {
         setSelectedImageId(id);
       }
-      setSearchTerm("");
-      setOpen(false);
+      if (!direct) {
+        setOpen(false);
+      }
     },
-    [setSelectedImageId],
+    [setSelectedImageId, direct],
   );
 
+  const handleImageLoad = useCallback((imageId: string) => {
+    setLoadedImages((prev) => new Set(prev).add(imageId));
+  }, []);
+
+  const renderSearchInput = () => (
+    <Input
+      type="text"
+      placeholder={t("imagePicker.search.placeholder")}
+      className="text-md mb-3 md:text-sm"
+      value={searchTerm}
+      onChange={(e) => {
+        setSearchTerm(e.target.value);
+        // Clear selected image when user starts typing
+        if (setSelectedImageId) {
+          setSelectedImageId("");
+        }
+      }}
+    />
+  );
+
+  const renderImageGrid = () => (
+    <div className="grid grid-cols-2 gap-4 pr-1 sm:grid-cols-6">
+      {images.length === 0 ? (
+        <div className="col-span-2 text-center text-sm text-muted-foreground sm:col-span-6">
+          {t("imagePicker.noImages")}
+        </div>
+      ) : (
+        images.map((image) => (
+          <div
+            key={image.id}
+            className={cn(
+              "relative aspect-square cursor-pointer overflow-hidden rounded-lg border-2 bg-background transition-all",
+              selectedImageId === image.id &&
+                "border-selected ring-2 ring-selected",
+            )}
+          >
+            <img
+              src={`${apiHost}api/events/${image.id}/thumbnail.webp`}
+              alt={image.label}
+              className="h-full w-full object-cover"
+              onClick={() => handleImageSelect(image.id)}
+              onLoad={() => handleImageLoad(image.id)}
+              loading="lazy"
+            />
+            {!loadedImages.has(image.id) && (
+              <div className="absolute inset-0 flex items-center justify-center">
+                <ActivityIndicator />
+              </div>
+            )}
+          </div>
+        ))
+      )}
+    </div>
+  );
+
+  if (direct) {
+    return (
+      <div ref={containerRef} className={className}>
+        {renderSearchInput()}
+        {renderImageGrid()}
+      </div>
+    );
+  }
+
   return (
     <div ref={containerRef}>
       <Dialog
@@ -87,18 +160,39 @@ export default function ImagePicker({
           ) : (
             <div className="hover:cursor-pointer">
               <div className="my-3 flex w-full flex-row items-center justify-between gap-2">
-                <div className="flex flex-row items-center gap-2">
-                  <img
-                    src={
-                      selectedImage
-                        ? `${apiHost}api/events/${selectedImage.id}/thumbnail.webp`
-                        : `${apiHost}clips/triggers/${camera}/${selectedImageId}.webp`
-                    }
-                    alt={selectedImage?.label || "Selected image"}
-                    className="h-8 w-8 rounded object-cover"
-                  />
+                <div className="flex flex-row items-center gap-4">
+                  <div className="relative size-16">
+                    <img
+                      src={
+                        selectedImage
+                          ? `${apiHost}api/events/${selectedImage.id}/thumbnail.webp`
+                          : `${apiHost}clips/triggers/${camera}/${selectedImageId}.webp`
+                      }
+                      alt={selectedImage?.label || "Selected image"}
+                      className="size-16 rounded object-cover"
+                      onLoad={() => handleImageLoad(selectedImageId || "")}
+                      onError={(e) => {
+                        // If trigger thumbnail fails to load, fall back to event thumbnail
+                        if (!selectedImage) {
+                          const target = e.target as HTMLImageElement;
+                          if (
+                            target.src.includes("clips/triggers") &&
+                            selectedImageId
+                          ) {
+                            target.src = `${apiHost}api/events/${selectedImageId}/thumbnail.webp`;
+                          }
+                        }
+                      }}
+                      loading="lazy"
+                    />
+                    {selectedImageId && !loadedImages.has(selectedImageId) && (
+                      <div className="absolute inset-0 flex items-center justify-center">
+                        <ActivityIndicator />
+                      </div>
+                    )}
+                  </div>
                   <div className="text-sm smart-capitalize">
-                    {selectedImage?.label || selectedImageId}
+                    {selectedImage?.label || t("imagePicker.unknownLabel")}
                     {selectedImage?.sub_label
                       ? ` (${selectedImage.sub_label})`
                       : ""}
@@ -122,48 +216,23 @@ export default function ImagePicker({
         <DialogContent
           className={cn(
             "scrollbar-container overflow-y-auto",
-            isDesktop && "max-h-[75dvh] sm:max-w-xl md:max-w-3xl",
-            isMobile && "px-4",
+            isDesktop && "max-h-[75dvh] sm:max-w-xl md:max-w-[70%]",
+            isMobile && "scrollbar-container max-h-[90%] overflow-y-auto px-4",
+            className,
           )}
         >
-          <div className="mb-3 flex flex-row items-center justify-between">
+          <div className="mb-3 flex flex-col items-start justify-start">
             <Heading as="h4">{t("imagePicker.selectImage")}</Heading>
+            <div className="text-sm text-muted-foreground">
+              {t("triggers.dialog.form.content.imageDesc", {
+                ns: "views/settings",
+              })}
+            </div>
             <span tabIndex={0} className="sr-only" />
           </div>
-          <Input
-            type="text"
-            placeholder={t("imagePicker.search.placeholder")}
-            className="text-md mb-3 md:text-sm"
-            value={searchTerm}
-            onChange={(e) => setSearchTerm(e.target.value)}
-          />
+          {renderSearchInput()}
           <div className="scrollbar-container flex h-full flex-col overflow-y-auto">
-            <div className="grid grid-cols-3 gap-2 pr-1">
-              {images.length === 0 ? (
-                <div className="col-span-3 text-center text-sm text-muted-foreground">
-                  {t("imagePicker.noImages")}
-                </div>
-              ) : (
-                images.map((image) => (
-                  <div
-                    key={image.id}
-                    className={cn(
-                      "flex flex-row items-center justify-center rounded-lg p-1 hover:cursor-pointer",
-                      selectedImageId === image.id
-                        ? "bg-selected text-white"
-                        : "hover:bg-secondary-foreground",
-                    )}
-                  >
-                    <img
-                      src={`${apiHost}api/events/${image.id}/thumbnail.webp`}
-                      alt={image.label}
-                      className="rounded object-cover"
-                      onClick={() => handleImageSelect(image.id)}
-                    />
-                  </div>
-                ))
-              )}
-            </div>
+            {renderImageGrid()}
           </div>
         </DialogContent>
       </Dialog>
diff --git a/web/src/components/overlay/ImageShadowOverlay.tsx b/web/src/components/overlay/ImageShadowOverlay.tsx
new file mode 100644
index 000000000..4f822572d
--- /dev/null
+++ b/web/src/components/overlay/ImageShadowOverlay.tsx
@@ -0,0 +1,27 @@
+import { cn } from "@/lib/utils";
+
+type ImageShadowOverlayProps = {
+  upperClassName?: string;
+  lowerClassName?: string;
+};
+export function ImageShadowOverlay({
+  upperClassName,
+  lowerClassName,
+}: ImageShadowOverlayProps) {
+  return (
+    <>
+      <div
+        className={cn(
+          "pointer-events-none absolute inset-x-0 top-0 z-10 h-[30%] w-full rounded-lg bg-gradient-to-b from-black/20 to-transparent",
+          upperClassName,
+        )}
+      />
+      <div
+        className={cn(
+          "pointer-events-none absolute inset-x-0 bottom-0 z-10 h-[10%] w-full rounded-lg bg-gradient-to-t from-black/20 to-transparent",
+          lowerClassName,
+        )}
+      />
+    </>
+  );
+}
diff --git a/web/src/components/overlay/MobileCameraDrawer.tsx b/web/src/components/overlay/MobileCameraDrawer.tsx
index 477c4f411..5c04a58e4 100644
--- a/web/src/components/overlay/MobileCameraDrawer.tsx
+++ b/web/src/components/overlay/MobileCameraDrawer.tsx
@@ -4,7 +4,7 @@ import { Button } from "../ui/button";
 import { FaVideo } from "react-icons/fa";
 import { isMobile } from "react-device-detect";
 import { useTranslation } from "react-i18next";
-import { CameraNameLabel } from "../camera/CameraNameLabel";
+import { CameraNameLabel } from "../camera/FriendlyNameLabel";
 
 type MobileCameraDrawerProps = {
   allCameras: string[];
diff --git a/web/src/components/overlay/MobileReviewSettingsDrawer.tsx b/web/src/components/overlay/MobileReviewSettingsDrawer.tsx
index 4aa9710fb..78827a99e 100644
--- a/web/src/components/overlay/MobileReviewSettingsDrawer.tsx
+++ b/web/src/components/overlay/MobileReviewSettingsDrawer.tsx
@@ -104,6 +104,13 @@ export default function MobileReviewSettingsDrawer({
             t("export.toast.success", { ns: "components/dialog" }),
             {
               position: "top-center",
+              action: (
+                <a href="/export" target="_blank" rel="noopener noreferrer">
+                  <Button>
+                    {t("export.toast.view", { ns: "components/dialog" })}
+                  </Button>
+                </a>
+              ),
             },
           );
           setName("");
diff --git a/web/src/components/overlay/MobileTimelineDrawer.tsx b/web/src/components/overlay/MobileTimelineDrawer.tsx
index ed71f8a23..1d660f928 100644
--- a/web/src/components/overlay/MobileTimelineDrawer.tsx
+++ b/web/src/components/overlay/MobileTimelineDrawer.tsx
@@ -51,6 +51,15 @@ export default function MobileTimelineDrawer({
         >
           {t("events.label")}
         </div>
+        <div
+          className={`mx-4 w-full py-2 text-center smart-capitalize ${selected == "detail" ? "rounded-lg bg-secondary" : ""}`}
+          onClick={() => {
+            onSelect("detail");
+            setDrawer(false);
+          }}
+        >
+          {t("detail.label")}
+        </div>
       </DrawerContent>
     </Drawer>
   );
diff --git a/web/src/components/overlay/ObjectTrackOverlay.tsx b/web/src/components/overlay/ObjectTrackOverlay.tsx
new file mode 100644
index 000000000..8f78adcd7
--- /dev/null
+++ b/web/src/components/overlay/ObjectTrackOverlay.tsx
@@ -0,0 +1,529 @@
+import { useMemo, useCallback } from "react";
+import { TrackingDetailsSequence, LifecycleClassType } from "@/types/timeline";
+import { FrigateConfig } from "@/types/frigateConfig";
+import useSWR from "swr";
+import { useDetailStream } from "@/context/detail-stream-context";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
+import { TooltipPortal } from "@radix-ui/react-tooltip";
+import { cn } from "@/lib/utils";
+import { useTranslation } from "react-i18next";
+import { Event } from "@/types/event";
+import { resolveZoneName } from "@/hooks/use-zone-friendly-name";
+
+// Use a small tolerance (10ms) for browsers with seek precision by-design issues
+const TOLERANCE = 0.01;
+
+type ObjectTrackOverlayProps = {
+  camera: string;
+  showBoundingBoxes?: boolean;
+  currentTime: number;
+  videoWidth: number;
+  videoHeight: number;
+  className?: string;
+  onSeekToTime?: (timestamp: number, play?: boolean) => void;
+};
+
+type PathPoint = {
+  x: number;
+  y: number;
+  timestamp: number;
+  lifecycle_item?: TrackingDetailsSequence;
+  objectId: string;
+};
+
+type ObjectData = {
+  objectId: string;
+  label: string;
+  color: string;
+  pathPoints: PathPoint[];
+  currentZones: string[];
+  currentBox?: number[];
+  currentAttributeBox?: number[];
+};
+
+export default function ObjectTrackOverlay({
+  camera,
+  showBoundingBoxes = false,
+  currentTime,
+  videoWidth,
+  videoHeight,
+  className,
+  onSeekToTime,
+}: ObjectTrackOverlayProps) {
+  const { t } = useTranslation("views/events");
+  const { data: config } = useSWR<FrigateConfig>("config");
+  const { annotationOffset, selectedObjectIds } = useDetailStream();
+
+  const effectiveCurrentTime = currentTime - annotationOffset / 1000;
+
+  const {
+    pathStroke,
+    pointRadius,
+    pointStroke,
+    zoneStroke,
+    boxStroke,
+    highlightRadius,
+  } = useMemo(() => {
+    const BASE_WIDTH = 1280;
+    const BASE_HEIGHT = 720;
+    const BASE_PATH_STROKE = 5;
+    const BASE_POINT_RADIUS = 7;
+    const BASE_POINT_STROKE = 3;
+    const BASE_ZONE_STROKE = 5;
+    const BASE_BOX_STROKE = 5;
+    const BASE_HIGHLIGHT_RADIUS = 5;
+
+    const scale = Math.sqrt(
+      (videoWidth * videoHeight) / (BASE_WIDTH * BASE_HEIGHT),
+    );
+
+    const pathStroke = Math.max(1, Math.round(BASE_PATH_STROKE * scale));
+    const pointRadius = Math.max(2, Math.round(BASE_POINT_RADIUS * scale));
+    const pointStroke = Math.max(1, Math.round(BASE_POINT_STROKE * scale));
+    const zoneStroke = Math.max(1, Math.round(BASE_ZONE_STROKE * scale));
+    const boxStroke = Math.max(1, Math.round(BASE_BOX_STROKE * scale));
+    const highlightRadius = Math.max(
+      2,
+      Math.round(BASE_HIGHLIGHT_RADIUS * scale),
+    );
+
+    return {
+      pathStroke,
+      pointRadius,
+      pointStroke,
+      zoneStroke,
+      boxStroke,
+      highlightRadius,
+    };
+  }, [videoWidth, videoHeight]);
+
+  // Fetch all event data in a single request (CSV ids)
+  const { data: eventsData } = useSWR<Event[]>(
+    selectedObjectIds.length > 0
+      ? ["event_ids", { ids: selectedObjectIds.join(",") }]
+      : null,
+    null,
+    {
+      revalidateOnFocus: false,
+      revalidateOnReconnect: false,
+      dedupingInterval: 30000,
+    },
+  );
+
+  // Fetch timeline data for each object ID using fixed number of hooks
+  const { data: timelineData } = useSWR<TrackingDetailsSequence[]>(
+    selectedObjectIds.length > 0
+      ? `timeline?source_id=${selectedObjectIds.join(",")}&limit=1000`
+      : null,
+    null,
+    {
+      revalidateOnFocus: false,
+      revalidateOnReconnect: false,
+      dedupingInterval: 30000,
+    },
+  );
+
+  const getZonesFriendlyNames = (zones: string[], config: FrigateConfig) => {
+    return zones?.map((zone) => resolveZoneName(config, zone)) ?? [];
+  };
+
+  const timelineResults = useMemo(() => {
+    // Group timeline entries by source_id
+    if (!timelineData) return selectedObjectIds.map(() => []);
+
+    const grouped: Record<string, TrackingDetailsSequence[]> = {};
+    for (const entry of timelineData) {
+      if (!grouped[entry.source_id]) {
+        grouped[entry.source_id] = [];
+      }
+      grouped[entry.source_id].push(entry);
+    }
+
+    // Return timeline arrays in the same order as selectedObjectIds
+    return selectedObjectIds.map((id) => {
+      const entries = grouped[id] || [];
+      return entries.map((event) => ({
+        ...event,
+        data: {
+          ...event.data,
+          zones_friendly_names: config
+            ? getZonesFriendlyNames(event.data?.zones, config)
+            : [],
+        },
+      }));
+    });
+  }, [selectedObjectIds, timelineData, config]);
+
+  const typeColorMap = useMemo(
+    () => ({
+      [LifecycleClassType.VISIBLE]: [0, 255, 0], // Green
+      [LifecycleClassType.GONE]: [255, 0, 0], // Red
+      [LifecycleClassType.ENTERED_ZONE]: [255, 165, 0], // Orange
+      [LifecycleClassType.ATTRIBUTE]: [128, 0, 128], // Purple
+      [LifecycleClassType.ACTIVE]: [255, 255, 0], // Yellow
+      [LifecycleClassType.STATIONARY]: [128, 128, 128], // Gray
+      [LifecycleClassType.HEARD]: [0, 255, 255], // Cyan
+      [LifecycleClassType.EXTERNAL]: [165, 42, 42], // Brown
+    }),
+    [],
+  );
+
+  const getObjectColor = useCallback(
+    (label: string, objectId: string) => {
+      const objectColor = config?.model?.colormap[label];
+      if (objectColor) {
+        const reversed = [...objectColor].reverse();
+        return `rgb(${reversed.join(",")})`;
+      }
+      // Fallback to deterministic color based on object ID
+      return generateColorFromId(objectId);
+    },
+    [config],
+  );
+
+  const getZoneColor = useCallback(
+    (zoneName: string) => {
+      const zoneColor = config?.cameras?.[camera]?.zones?.[zoneName]?.color;
+      if (zoneColor) {
+        const reversed = [...zoneColor].reverse();
+        return `rgb(${reversed.join(",")})`;
+      }
+      return "rgb(255, 0, 0)"; // fallback red
+    },
+    [config, camera],
+  );
+
+  // Build per-object data structures
+  const objectsData = useMemo<ObjectData[]>(() => {
+    if (!eventsData || !Array.isArray(eventsData)) return [];
+    if (config?.cameras[camera]?.onvif.autotracking.enabled_in_config)
+      return [];
+
+    return selectedObjectIds
+      .map((objectId, index) => {
+        const eventData = eventsData.find((e) => e.id === objectId);
+        const timelineData = timelineResults[index];
+
+        // get saved path points from event
+        const savedPathPoints: PathPoint[] =
+          eventData?.data?.path_data?.map(
+            ([coords, timestamp]: [number[], number]) => ({
+              x: coords[0],
+              y: coords[1],
+              timestamp,
+              lifecycle_item: undefined,
+              objectId,
+            }),
+          ) || [];
+
+        // timeline points for this object
+        const eventSequencePoints: PathPoint[] =
+          timelineData
+            ?.filter(
+              (event: TrackingDetailsSequence) => event.data.box !== undefined,
+            )
+            .map((event: TrackingDetailsSequence) => {
+              const [left, top, width, height] = event.data.box!;
+              return {
+                x: left + width / 2, // Center x
+                y: top + height, // Bottom y
+                timestamp: event.timestamp,
+                lifecycle_item: event,
+                objectId,
+              };
+            }) || [];
+
+        // show full path once current time has reached the object's start time
+        // event.start_time is in DETECT stream time, so convert it to record stream time for comparison
+        const eventStartTimeRecord =
+          (eventData?.start_time ?? 0) + annotationOffset / 1000;
+
+        const allPoints = [...savedPathPoints, ...eventSequencePoints].sort(
+          (a, b) => a.timestamp - b.timestamp,
+        );
+        const combinedPoints = allPoints.filter(
+          (point) =>
+            currentTime >= eventStartTimeRecord - TOLERANCE &&
+            point.timestamp <= effectiveCurrentTime + TOLERANCE,
+        );
+
+        // Get color for this object
+        const label = eventData?.label || "unknown";
+        const color = getObjectColor(label, objectId);
+
+        // zones (with tolerance for browsers with seek precision by-design issues)
+        const currentZones =
+          timelineData
+            ?.filter(
+              (event: TrackingDetailsSequence) =>
+                event.timestamp <= effectiveCurrentTime + TOLERANCE,
+            )
+            .sort(
+              (a: TrackingDetailsSequence, b: TrackingDetailsSequence) =>
+                b.timestamp - a.timestamp,
+            )[0]?.data?.zones || [];
+
+        // bounding box - only show if there's a timeline event at/near the current time with a box
+        // Search all timeline events (not just those before current time) to find one matching the seek position
+        const nearbyTimelineEvent = timelineData
+          ?.filter((event: TrackingDetailsSequence) => event.data.box)
+          .sort(
+            (a: TrackingDetailsSequence, b: TrackingDetailsSequence) =>
+              Math.abs(a.timestamp - effectiveCurrentTime) -
+              Math.abs(b.timestamp - effectiveCurrentTime),
+          )
+          .find(
+            (event: TrackingDetailsSequence) =>
+              Math.abs(event.timestamp - effectiveCurrentTime) <= TOLERANCE,
+          );
+
+        const currentBox = nearbyTimelineEvent?.data?.box;
+        const currentAttributeBox = nearbyTimelineEvent?.data?.attribute_box;
+
+        return {
+          objectId,
+          label,
+          color,
+          pathPoints: combinedPoints,
+          currentZones,
+          currentBox,
+          currentAttributeBox,
+        };
+      })
+      .filter((obj: ObjectData) => obj.pathPoints.length > 0); // Only include objects with path data
+  }, [
+    eventsData,
+    selectedObjectIds,
+    timelineResults,
+    currentTime,
+    effectiveCurrentTime,
+    getObjectColor,
+    config,
+    camera,
+    annotationOffset,
+  ]);
+
+  // Collect all zones across all objects
+  const allZones = useMemo(() => {
+    if (!config?.cameras?.[camera]?.zones) return [];
+
+    const zoneNames = new Set<string>();
+    objectsData.forEach((obj) => {
+      obj.currentZones.forEach((zone) => zoneNames.add(zone));
+    });
+
+    return Object.entries(config.cameras[camera].zones)
+      .filter(([name]) => zoneNames.has(name))
+      .map(([name, zone]) => ({
+        name,
+        coordinates: zone.coordinates,
+        color: getZoneColor(name),
+      }));
+  }, [config, camera, objectsData, getZoneColor]);
+
+  const generateStraightPath = useCallback(
+    (points: { x: number; y: number }[]) => {
+      if (!points || points.length < 2) return "";
+      let path = `M ${points[0].x} ${points[0].y}`;
+      for (let i = 1; i < points.length; i++) {
+        path += ` L ${points[i].x} ${points[i].y}`;
+      }
+      return path;
+    },
+    [],
+  );
+
+  const getPointColor = useCallback(
+    (baseColorString: string, type?: string) => {
+      if (type && typeColorMap[type as keyof typeof typeColorMap]) {
+        const typeColor = typeColorMap[type as keyof typeof typeColorMap];
+        if (typeColor) {
+          return `rgb(${typeColor.join(",")})`;
+        }
+      }
+      // Parse and darken base color slightly for path points
+      const match = baseColorString.match(/\d+/g);
+      if (match) {
+        const [r, g, b] = match.map(Number);
+        return `rgb(${Math.max(0, r - 10)}, ${Math.max(0, g - 10)}, ${Math.max(0, b - 10)})`;
+      }
+      return baseColorString;
+    },
+    [typeColorMap],
+  );
+
+  const handlePointClick = useCallback(
+    (timestamp: number) => {
+      // Convert detect stream timestamp to record stream timestamp before seeking
+      onSeekToTime?.(timestamp + annotationOffset / 1000, false);
+    },
+    [onSeekToTime, annotationOffset],
+  );
+
+  const zonePolygons = useMemo(() => {
+    return allZones.map((zone) => {
+      // Convert zone coordinates from normalized (0-1) to pixel coordinates
+      const points = zone.coordinates
+        .split(",")
+        .map(Number.parseFloat)
+        .reduce((acc: string[], value, index) => {
+          const isXCoordinate = index % 2 === 0;
+          const coordinate = isXCoordinate
+            ? value * videoWidth
+            : value * videoHeight;
+          acc.push(coordinate.toString());
+          return acc;
+        }, [])
+        .join(",");
+
+      return {
+        key: zone.name,
+        points,
+        fill: `rgba(${zone.color.replace("rgb(", "").replace(")", "")}, 0.3)`,
+        stroke: zone.color,
+      };
+    });
+  }, [allZones, videoWidth, videoHeight]);
+
+  if (objectsData.length === 0 || !config) {
+    return null;
+  }
+
+  return (
+    <svg
+      className={cn(className)}
+      viewBox={`0 0 ${videoWidth} ${videoHeight}`}
+      style={{
+        width: "100%",
+        height: "100%",
+      }}
+      preserveAspectRatio="xMidYMid slice"
+    >
+      {zonePolygons.map((zone) => (
+        <polygon
+          key={zone.key}
+          points={zone.points}
+          fill={zone.fill}
+          stroke={zone.stroke}
+          strokeWidth={zoneStroke}
+          opacity="0.7"
+        />
+      ))}
+
+      {objectsData.map((objData) => {
+        const absolutePositions = objData.pathPoints.map((point) => ({
+          x: point.x * videoWidth,
+          y: point.y * videoHeight,
+          timestamp: point.timestamp,
+          lifecycle_item: point.lifecycle_item,
+        }));
+
+        return (
+          <g key={objData.objectId}>
+            {absolutePositions.length > 1 && (
+              <path
+                d={generateStraightPath(absolutePositions)}
+                fill="none"
+                stroke={objData.color}
+                strokeWidth={pathStroke}
+                strokeLinecap="round"
+                strokeLinejoin="round"
+              />
+            )}
+
+            {absolutePositions.map((pos, index) => (
+              <Tooltip key={`${objData.objectId}-point-${index}`}>
+                <TooltipTrigger asChild>
+                  <circle
+                    cx={pos.x}
+                    cy={pos.y}
+                    r={pointRadius}
+                    fill={getPointColor(
+                      objData.color,
+                      pos.lifecycle_item?.class_type,
+                    )}
+                    stroke="white"
+                    strokeWidth={pointStroke}
+                    style={{ cursor: onSeekToTime ? "pointer" : "default" }}
+                    onClick={() => handlePointClick(pos.timestamp)}
+                  />
+                </TooltipTrigger>
+                <TooltipPortal>
+                  <TooltipContent side="top" className="smart-capitalize">
+                    {pos.lifecycle_item
+                      ? `${pos.lifecycle_item.class_type.replace("_", " ")} at ${new Date(pos.timestamp * 1000).toLocaleTimeString()}`
+                      : t("objectTrack.trackedPoint")}
+                    {onSeekToTime && (
+                      <div className="mt-1 text-xs normal-case text-muted-foreground">
+                        {t("objectTrack.clickToSeek")}
+                      </div>
+                    )}
+                  </TooltipContent>
+                </TooltipPortal>
+              </Tooltip>
+            ))}
+
+            {objData.currentBox && showBoundingBoxes && (
+              <g>
+                <rect
+                  x={objData.currentBox[0] * videoWidth}
+                  y={objData.currentBox[1] * videoHeight}
+                  width={objData.currentBox[2] * videoWidth}
+                  height={objData.currentBox[3] * videoHeight}
+                  fill="none"
+                  stroke={objData.color}
+                  strokeWidth={boxStroke}
+                  opacity="0.9"
+                />
+                <circle
+                  cx={
+                    (objData.currentBox[0] + objData.currentBox[2] / 2) *
+                    videoWidth
+                  }
+                  cy={
+                    (objData.currentBox[1] + objData.currentBox[3]) *
+                    videoHeight
+                  }
+                  r={highlightRadius}
+                  fill="rgb(255, 255, 0)" // yellow highlight
+                  stroke={objData.color}
+                  strokeWidth={boxStroke}
+                  opacity="1"
+                />
+              </g>
+            )}
+            {objData.currentAttributeBox && showBoundingBoxes && (
+              <g>
+                <rect
+                  x={objData.currentAttributeBox[0] * videoWidth}
+                  y={objData.currentAttributeBox[1] * videoHeight}
+                  width={objData.currentAttributeBox[2] * videoWidth}
+                  height={objData.currentAttributeBox[3] * videoHeight}
+                  fill="none"
+                  stroke={objData.color}
+                  strokeWidth={boxStroke}
+                  opacity="0.9"
+                />
+              </g>
+            )}
+          </g>
+        );
+      })}
+    </svg>
+  );
+}
+
+// Generate a deterministic HSL color from a string (object ID)
+function generateColorFromId(id: string): string {
+  let hash = 0;
+  for (let i = 0; i < id.length; i++) {
+    hash = id.charCodeAt(i) + ((hash << 5) - hash);
+  }
+  // Use golden ratio to distribute hues evenly
+  const hue = (hash * 137.508) % 360;
+  return `hsl(${hue}, 70%, 50%)`;
+}
diff --git a/web/src/components/overlay/ReviewActivityCalendar.tsx b/web/src/components/overlay/ReviewActivityCalendar.tsx
index 10617d3c9..86bc424ba 100644
--- a/web/src/components/overlay/ReviewActivityCalendar.tsx
+++ b/web/src/components/overlay/ReviewActivityCalendar.tsx
@@ -5,7 +5,7 @@ import { FaCircle } from "react-icons/fa";
 import { getUTCOffset } from "@/utils/dateUtil";
 import { type DayButtonProps, TZDate } from "react-day-picker";
 import { LAST_24_HOURS_KEY } from "@/types/filter";
-import { usePersistence } from "@/hooks/use-persistence";
+import { useUserPersistence } from "@/hooks/use-user-persistence";
 import { cn } from "@/lib/utils";
 import { FrigateConfig } from "@/types/frigateConfig";
 import useSWR from "swr";
@@ -27,7 +27,7 @@ export default function ReviewActivityCalendar({
 }: ReviewActivityCalendarProps) {
   const { data: config } = useSWR<FrigateConfig>("config");
   const timezone = useTimezone(config);
-  const [weekStartsOn] = usePersistence("weekStartsOn", 0);
+  const [weekStartsOn] = useUserPersistence("weekStartsOn", 0);
 
   const disabledDates = useMemo(() => {
     const tomorrow = new Date();
@@ -176,7 +176,7 @@ export function TimezoneAwareCalendar({
   selectedDay,
   onSelect,
 }: TimezoneAwareCalendarProps) {
-  const [weekStartsOn] = usePersistence("weekStartsOn", 0);
+  const [weekStartsOn] = useUserPersistence("weekStartsOn", 0);
 
   const timezoneOffset = useMemo(
     () =>
diff --git a/web/src/components/overlay/SetPasswordDialog.tsx b/web/src/components/overlay/SetPasswordDialog.tsx
index 58a88fa08..7708201aa 100644
--- a/web/src/components/overlay/SetPasswordDialog.tsx
+++ b/web/src/components/overlay/SetPasswordDialog.tsx
@@ -1,8 +1,6 @@
-"use client";
-
 import { Button } from "../ui/button";
 import { Input } from "../ui/input";
-import { useState, useEffect } from "react";
+import { useState, useEffect, useMemo } from "react";
 import {
   Dialog,
   DialogContent,
@@ -11,71 +9,191 @@ import {
   DialogHeader,
   DialogTitle,
 } from "../ui/dialog";
-
-import { Label } from "../ui/label";
-import { LuCheck, LuX } from "react-icons/lu";
+import {
+  Form,
+  FormControl,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+} from "../ui/form";
+import { LuCheck, LuX, LuEye, LuEyeOff, LuExternalLink } from "react-icons/lu";
 import { useTranslation } from "react-i18next";
+import { useDocDomain } from "@/hooks/use-doc-domain";
+import useSWR from "swr";
+import { formatSecondsToDuration } from "@/utils/dateUtil";
+import { useDateLocale } from "@/hooks/use-date-locale";
+import ActivityIndicator from "../indicators/activity-indicator";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useForm } from "react-hook-form";
+import { z } from "zod";
+import { useIsAdmin } from "@/hooks/use-is-admin";
 
 type SetPasswordProps = {
   show: boolean;
-  onSave: (password: string) => void;
+  onSave: (password: string, oldPassword?: string) => void;
   onCancel: () => void;
+  initialError?: string | null;
   username?: string;
+  isLoading?: boolean;
 };
 
 export default function SetPasswordDialog({
   show,
   onSave,
   onCancel,
+  initialError,
   username,
+  isLoading = false,
 }: SetPasswordProps) {
-  const { t } = useTranslation(["views/settings"]);
-  const [password, setPassword] = useState<string>("");
-  const [confirmPassword, setConfirmPassword] = useState<string>("");
-  const [passwordStrength, setPasswordStrength] = useState<number>(0);
-  const [error, setError] = useState<string | null>(null);
+  const { t } = useTranslation(["views/settings", "common"]);
+  const { getLocaleDocUrl } = useDocDomain();
+  const isAdmin = useIsAdmin();
+  const dateLocale = useDateLocale();
 
-  // Reset state when dialog opens/closes
-  useEffect(() => {
-    if (show) {
-      setPassword("");
-      setConfirmPassword("");
-      setError(null);
-    }
-  }, [show]);
+  const { data: config } = useSWR("config");
+  const refreshSeconds: number | undefined =
+    config?.auth?.refresh_time ?? undefined;
+  const refreshTimeLabel = refreshSeconds
+    ? formatSecondsToDuration(refreshSeconds, dateLocale)
+    : t("time.30minutes", { ns: "common" });
 
-  // Simple password strength calculation
-  useEffect(() => {
-    if (!password) {
-      setPasswordStrength(0);
-      return;
+  // visibility toggles for password fields
+  const [showOldPassword, setShowOldPassword] = useState<boolean>(false);
+  const [showPasswordVisible, setShowPasswordVisible] =
+    useState<boolean>(false);
+  const [showConfirmPassword, setShowConfirmPassword] =
+    useState<boolean>(false);
+
+  // Create form schema with conditional old password requirement
+  const formSchema = useMemo(() => {
+    const baseSchema = {
+      password: z
+        .string()
+        .min(8, t("users.dialog.form.password.requirements.length"))
+        .regex(/[A-Z]/, t("users.dialog.form.password.requirements.uppercase"))
+        .regex(/\d/, t("users.dialog.form.password.requirements.digit"))
+        .regex(
+          /[!@#$%^&*(),.?":{}|<>]/,
+          t("users.dialog.form.password.requirements.special"),
+        ),
+      confirmPassword: z.string(),
+    };
+
+    if (username) {
+      return z
+        .object({
+          oldPassword: z
+            .string()
+            .min(1, t("users.dialog.passwordSetting.currentPasswordRequired")),
+          ...baseSchema,
+        })
+        .refine((data) => data.password === data.confirmPassword, {
+          message: t("users.dialog.passwordSetting.doNotMatch"),
+          path: ["confirmPassword"],
+        });
+    } else {
+      return z
+        .object(baseSchema)
+        .refine((data) => data.password === data.confirmPassword, {
+          message: t("users.dialog.passwordSetting.doNotMatch"),
+          path: ["confirmPassword"],
+        });
     }
+  }, [username, t]);
+
+  type FormValues = z.infer<typeof formSchema>;
+
+  const defaultValues = username
+    ? {
+        oldPassword: "",
+        password: "",
+        confirmPassword: "",
+      }
+    : {
+        password: "",
+        confirmPassword: "",
+      };
+
+  const form = useForm<FormValues>({
+    resolver: zodResolver(formSchema),
+    mode: "onChange",
+    defaultValues: defaultValues as FormValues,
+  });
+
+  const password = form.watch("password");
+  const confirmPassword = form.watch("confirmPassword");
+
+  // Password strength calculation
+  const passwordStrength = useMemo(() => {
+    if (!password) return 0;
 
     let strength = 0;
-    // Length check
     if (password.length >= 8) strength += 1;
-    // Contains number
     if (/\d/.test(password)) strength += 1;
-    // Contains special char
     if (/[!@#$%^&*(),.?":{}|<>]/.test(password)) strength += 1;
-    // Contains uppercase
     if (/[A-Z]/.test(password)) strength += 1;
 
-    setPasswordStrength(strength);
+    return strength;
   }, [password]);
 
-  const handleSave = () => {
-    if (!password) {
-      setError(t("users.dialog.passwordSetting.cannotBeEmpty"));
-      return;
-    }
+  const requirements = useMemo(
+    () => ({
+      length: password?.length >= 8,
+      uppercase: /[A-Z]/.test(password || ""),
+      digit: /\d/.test(password || ""),
+      special: /[!@#$%^&*(),.?":{}|<>]/.test(password || ""),
+    }),
+    [password],
+  );
 
-    if (password !== confirmPassword) {
-      setError(t("users.dialog.passwordSetting.doNotMatch"));
-      return;
+  // Reset form and visibility toggles when dialog opens/closes
+  useEffect(() => {
+    if (show) {
+      form.reset();
+      setShowOldPassword(false);
+      setShowPasswordVisible(false);
+      setShowConfirmPassword(false);
     }
+  }, [show, form]);
 
-    onSave(password);
+  // Handle backend errors
+  useEffect(() => {
+    if (show && initialError) {
+      const errorMsg = String(initialError);
+      // Check if the error is about incorrect current password
+      if (
+        errorMsg.toLowerCase().includes("current password is incorrect") ||
+        errorMsg.toLowerCase().includes("current password incorrect")
+      ) {
+        if (username) {
+          form.setError("oldPassword" as keyof FormValues, {
+            type: "manual",
+            message: t("users.dialog.passwordSetting.incorrectCurrentPassword"),
+          });
+        }
+      } else {
+        // For other errors, show as form-level error
+        form.setError("root", {
+          type: "manual",
+          message: errorMsg,
+        });
+      }
+    }
+  }, [show, initialError, form, t, username]);
+
+  const onSubmit = async (values: FormValues) => {
+    const oldPassword =
+      "oldPassword" in values
+        ? (
+            values as {
+              oldPassword: string;
+              password: string;
+              confirmPassword: string;
+            }
+          ).oldPassword
+        : undefined;
+    onSave(values.password, oldPassword);
   };
 
   const getStrengthLabel = () => {
@@ -112,113 +230,342 @@ export default function SetPasswordDialog({
           <DialogDescription>
             {t("users.dialog.passwordSetting.desc")}
           </DialogDescription>
+
+          <p className="text-sm text-muted-foreground">
+            {t("users.dialog.passwordSetting.multiDeviceWarning", {
+              refresh_time: refreshTimeLabel,
+              ns: "views/settings",
+            })}
+          </p>
+          {isAdmin && (
+            <>
+              <p className="text-sm text-muted-foreground">
+                {t("users.dialog.passwordSetting.multiDeviceAdmin", {
+                  ns: "views/settings",
+                })}
+              </p>
+              <p className="text-sm text-primary-variant">
+                <a
+                  href={getLocaleDocUrl(
+                    "configuration/authentication#jwt-token-secret",
+                  )}
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  className="inline-flex items-center text-primary"
+                >
+                  {t("readTheDocumentation", { ns: "common" })}
+                  <LuExternalLink className="ml-2 size-3" />
+                </a>
+              </p>
+            </>
+          )}
         </DialogHeader>
 
-        <div className="space-y-4 pt-4">
-          <div className="space-y-2">
-            <Label htmlFor="password">
-              {t("users.dialog.form.newPassword.title")}
-            </Label>
-            <Input
-              id="password"
-              className="h-10"
-              type="password"
-              value={password}
-              onChange={(event) => {
-                setPassword(event.target.value);
-                setError(null);
-              }}
-              placeholder={t("users.dialog.form.newPassword.placeholder")}
-              autoFocus
-            />
-
-            {/* Password strength indicator */}
-            {password && (
-              <div className="mt-2 space-y-1">
-                <div className="flex h-1.5 w-full overflow-hidden rounded-full bg-secondary-foreground">
-                  <div
-                    className={`${getStrengthColor()} transition-all duration-300`}
-                    style={{ width: `${(passwordStrength / 3) * 100}%` }}
-                  />
-                </div>
-                <p className="text-xs text-muted-foreground">
-                  {t("users.dialog.form.password.strength.title")}
-                  <span className="font-medium">{getStrengthLabel()}</span>
-                </p>
-              </div>
+        <Form {...form}>
+          <form
+            onSubmit={form.handleSubmit(onSubmit)}
+            className="space-y-4 pt-4"
+          >
+            {username && (
+              <FormField
+                control={form.control}
+                name={"oldPassword" as keyof FormValues}
+                render={({ field }) => (
+                  <FormItem>
+                    <FormLabel>
+                      {t("users.dialog.form.currentPassword.title")}
+                    </FormLabel>
+                    <FormControl>
+                      <div className="relative">
+                        <Input
+                          {...field}
+                          type={showOldPassword ? "text" : "password"}
+                          placeholder={t(
+                            "users.dialog.form.currentPassword.placeholder",
+                          )}
+                          className="h-10 pr-10"
+                        />
+                        <Button
+                          type="button"
+                          variant="ghost"
+                          size="sm"
+                          tabIndex={-1}
+                          aria-label={
+                            showOldPassword
+                              ? t("users.dialog.form.password.hide", {
+                                  ns: "views/settings",
+                                })
+                              : t("users.dialog.form.password.show", {
+                                  ns: "views/settings",
+                                })
+                          }
+                          className="absolute right-0 top-0 h-full px-3 py-2 hover:bg-transparent"
+                          onClick={() => setShowOldPassword(!showOldPassword)}
+                        >
+                          {showOldPassword ? (
+                            <LuEyeOff className="size-4" />
+                          ) : (
+                            <LuEye className="size-4" />
+                          )}
+                        </Button>
+                      </div>
+                    </FormControl>
+                    <FormMessage />
+                  </FormItem>
+                )}
+              />
             )}
-          </div>
 
-          <div className="space-y-2">
-            <Label htmlFor="confirm-password">
-              {t("users.dialog.form.password.confirm.title")}
-            </Label>
-            <Input
-              id="confirm-password"
-              className="h-10"
-              type="password"
-              value={confirmPassword}
-              onChange={(event) => {
-                setConfirmPassword(event.target.value);
-                setError(null);
-              }}
-              placeholder={t(
-                "users.dialog.form.newPassword.confirm.placeholder",
+            <FormField
+              control={form.control}
+              name="password"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel>
+                    {t("users.dialog.form.newPassword.title")}
+                  </FormLabel>
+                  <FormControl>
+                    <div className="relative">
+                      <Input
+                        {...field}
+                        type={showPasswordVisible ? "text" : "password"}
+                        placeholder={t(
+                          "users.dialog.form.newPassword.placeholder",
+                        )}
+                        className="h-10 pr-10"
+                        autoFocus
+                      />
+                      <Button
+                        type="button"
+                        variant="ghost"
+                        size="sm"
+                        tabIndex={-1}
+                        aria-label={
+                          showPasswordVisible
+                            ? t("users.dialog.form.password.hide", {
+                                ns: "views/settings",
+                              })
+                            : t("users.dialog.form.password.show", {
+                                ns: "views/settings",
+                              })
+                        }
+                        className="absolute right-0 top-0 h-full px-3 py-2 hover:bg-transparent"
+                        onClick={() =>
+                          setShowPasswordVisible(!showPasswordVisible)
+                        }
+                      >
+                        {showPasswordVisible ? (
+                          <LuEyeOff className="size-4" />
+                        ) : (
+                          <LuEye className="size-4" />
+                        )}
+                      </Button>
+                    </div>
+                  </FormControl>
+
+                  {password && (
+                    <div className="mt-2 space-y-2">
+                      <div className="flex h-1.5 w-full overflow-hidden rounded-full bg-secondary-foreground">
+                        <div
+                          className={`${getStrengthColor()} transition-all duration-300`}
+                          style={{ width: `${(passwordStrength / 4) * 100}%` }}
+                        />
+                      </div>
+                      <p className="text-xs text-muted-foreground">
+                        {t("users.dialog.form.password.strength.title")}
+                        <span className="font-medium">
+                          {getStrengthLabel()}
+                        </span>
+                      </p>
+
+                      <div className="space-y-1 rounded-md bg-muted/50 p-2">
+                        <p className="text-xs font-medium text-muted-foreground">
+                          {t("users.dialog.form.password.requirements.title")}
+                        </p>
+                        <ul className="space-y-1">
+                          <li className="flex items-center gap-2 text-xs">
+                            {requirements.length ? (
+                              <LuCheck className="size-3.5 text-green-500" />
+                            ) : (
+                              <LuX className="size-3.5 text-red-500" />
+                            )}
+                            <span
+                              className={
+                                requirements.length
+                                  ? "text-green-600"
+                                  : "text-red-600"
+                              }
+                            >
+                              {t(
+                                "users.dialog.form.password.requirements.length",
+                              )}
+                            </span>
+                          </li>
+                          <li className="flex items-center gap-2 text-xs">
+                            {requirements.uppercase ? (
+                              <LuCheck className="size-3.5 text-green-500" />
+                            ) : (
+                              <LuX className="size-3.5 text-red-500" />
+                            )}
+                            <span
+                              className={
+                                requirements.uppercase
+                                  ? "text-green-600"
+                                  : "text-red-600"
+                              }
+                            >
+                              {t(
+                                "users.dialog.form.password.requirements.uppercase",
+                              )}
+                            </span>
+                          </li>
+                          <li className="flex items-center gap-2 text-xs">
+                            {requirements.digit ? (
+                              <LuCheck className="size-3.5 text-green-500" />
+                            ) : (
+                              <LuX className="size-3.5 text-red-500" />
+                            )}
+                            <span
+                              className={
+                                requirements.digit
+                                  ? "text-green-600"
+                                  : "text-red-600"
+                              }
+                            >
+                              {t(
+                                "users.dialog.form.password.requirements.digit",
+                              )}
+                            </span>
+                          </li>
+                          <li className="flex items-center gap-2 text-xs">
+                            {requirements.special ? (
+                              <LuCheck className="size-3.5 text-green-500" />
+                            ) : (
+                              <LuX className="size-3.5 text-red-500" />
+                            )}
+                            <span
+                              className={
+                                requirements.special
+                                  ? "text-green-600"
+                                  : "text-red-600"
+                              }
+                            >
+                              {t(
+                                "users.dialog.form.password.requirements.special",
+                              )}
+                            </span>
+                          </li>
+                        </ul>
+                      </div>
+                    </div>
+                  )}
+
+                  <FormMessage />
+                </FormItem>
               )}
             />
 
-            {/* Password match indicator */}
-            {password && confirmPassword && (
-              <div className="mt-1 flex items-center gap-1.5 text-xs">
-                {password === confirmPassword ? (
-                  <>
-                    <LuCheck className="size-3.5 text-green-500" />
-                    <span className="text-green-600">
-                      {t("users.dialog.form.password.match")}
-                    </span>
-                  </>
-                ) : (
-                  <>
-                    <LuX className="size-3.5 text-red-500" />
-                    <span className="text-red-600">
-                      {t("users.dialog.form.password.notMatch")}
-                    </span>
-                  </>
-                )}
+            <FormField
+              control={form.control}
+              name="confirmPassword"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel>
+                    {t("users.dialog.form.password.confirm.title")}
+                  </FormLabel>
+                  <FormControl>
+                    <div className="relative">
+                      <Input
+                        {...field}
+                        type={showConfirmPassword ? "text" : "password"}
+                        placeholder={t(
+                          "users.dialog.form.newPassword.confirm.placeholder",
+                        )}
+                        className="h-10 pr-10"
+                      />
+                      <Button
+                        type="button"
+                        variant="ghost"
+                        size="sm"
+                        tabIndex={-1}
+                        aria-label={
+                          showConfirmPassword
+                            ? t("users.dialog.form.password.hide", {
+                                ns: "views/settings",
+                              })
+                            : t("users.dialog.form.password.show", {
+                                ns: "views/settings",
+                              })
+                        }
+                        className="absolute right-0 top-0 h-full px-3 py-2 hover:bg-transparent"
+                        onClick={() =>
+                          setShowConfirmPassword(!showConfirmPassword)
+                        }
+                      >
+                        {showConfirmPassword ? (
+                          <LuEyeOff className="size-4" />
+                        ) : (
+                          <LuEye className="size-4" />
+                        )}
+                      </Button>
+                    </div>
+                  </FormControl>
+
+                  {password &&
+                    confirmPassword &&
+                    password === confirmPassword && (
+                      <div className="mt-1 flex items-center gap-1.5 text-xs">
+                        <LuCheck className="size-3.5 text-green-500" />
+                        <span className="text-green-600">
+                          {t("users.dialog.form.password.match")}
+                        </span>
+                      </div>
+                    )}
+
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+
+            {form.formState.errors.root && (
+              <div className="rounded-md bg-destructive/10 p-3 text-sm text-destructive">
+                {form.formState.errors.root.message}
               </div>
             )}
-          </div>
 
-          {error && (
-            <div className="rounded-md bg-destructive/10 p-3 text-sm text-destructive">
-              {error}
-            </div>
-          )}
-        </div>
-
-        <DialogFooter className="flex flex-col-reverse gap-2 sm:flex-row sm:justify-end">
-          <div className="flex flex-1 flex-col justify-end">
-            <div className="flex flex-row gap-2 pt-5">
-              <Button
-                className="flex flex-1"
-                aria-label={t("button.cancel", { ns: "common" })}
-                onClick={onCancel}
-                type="button"
-              >
-                {t("button.cancel", { ns: "common" })}
-              </Button>
-              <Button
-                variant="select"
-                aria-label={t("button.save", { ns: "common" })}
-                className="flex flex-1"
-                onClick={handleSave}
-                disabled={!password || password !== confirmPassword}
-              >
-                {t("button.save", { ns: "common" })}
-              </Button>
-            </div>
-          </div>
-        </DialogFooter>
+            <DialogFooter className="flex flex-col-reverse gap-2 sm:flex-row sm:justify-end">
+              <div className="flex flex-1 flex-col justify-end">
+                <div className="flex flex-row gap-2 pt-5">
+                  <Button
+                    className="flex flex-1"
+                    aria-label={t("button.cancel", { ns: "common" })}
+                    onClick={onCancel}
+                    type="button"
+                    disabled={isLoading}
+                  >
+                    {t("button.cancel", { ns: "common" })}
+                  </Button>
+                  <Button
+                    variant="select"
+                    aria-label={t("button.save", { ns: "common" })}
+                    className="flex flex-1"
+                    type="submit"
+                    disabled={isLoading || !form.formState.isValid}
+                  >
+                    {isLoading ? (
+                      <div className="flex flex-row items-center gap-2">
+                        <ActivityIndicator />
+                        <span>{t("button.saving", { ns: "common" })}</span>
+                      </div>
+                    ) : (
+                      t("button.save", { ns: "common" })
+                    )}
+                  </Button>
+                </div>
+              </div>
+            </DialogFooter>
+          </form>
+        </Form>
       </DialogContent>
     </Dialog>
   );
diff --git a/web/src/components/overlay/TimelineDataOverlay.tsx b/web/src/components/overlay/TimelineDataOverlay.tsx
deleted file mode 100644
index a0d6190f6..000000000
--- a/web/src/components/overlay/TimelineDataOverlay.tsx
+++ /dev/null
@@ -1,101 +0,0 @@
-import { ObjectLifecycleSequence } from "@/types/timeline";
-import { useState } from "react";
-
-type TimelineEventOverlayProps = {
-  timeline: ObjectLifecycleSequence;
-  cameraConfig: {
-    detect: {
-      width: number;
-      height: number;
-    };
-  };
-};
-
-export default function TimelineEventOverlay({
-  timeline,
-  cameraConfig,
-}: TimelineEventOverlayProps) {
-  const [isHovering, setIsHovering] = useState<boolean>(false);
-  const getHoverStyle = () => {
-    if (!timeline.data.box) {
-      return {};
-    }
-
-    if (boxLeftEdge < 15) {
-      // show object stats on right side
-      return {
-        left: `${boxLeftEdge + timeline.data.box[2] * 100 + 1}%`,
-        top: `${boxTopEdge}%`,
-      };
-    }
-
-    return {
-      right: `${boxRightEdge + timeline.data.box[2] * 100 + 1}%`,
-      top: `${boxTopEdge}%`,
-    };
-  };
-
-  const getObjectArea = () => {
-    if (!timeline.data.box) {
-      return 0;
-    }
-
-    const width = timeline.data.box[2] * cameraConfig.detect.width;
-    const height = timeline.data.box[3] * cameraConfig.detect.height;
-    return Math.round(width * height);
-  };
-
-  const getObjectRatio = () => {
-    if (!timeline.data.box) {
-      return 0.0;
-    }
-
-    const width = timeline.data.box[2] * cameraConfig.detect.width;
-    const height = timeline.data.box[3] * cameraConfig.detect.height;
-    return Math.round(100 * (width / height)) / 100;
-  };
-
-  if (!timeline.data.box) {
-    return null;
-  }
-
-  const boxLeftEdge = Math.round(timeline.data.box[0] * 100);
-  const boxTopEdge = Math.round(timeline.data.box[1] * 100);
-  const boxRightEdge = Math.round(
-    (1 - timeline.data.box[2] - timeline.data.box[0]) * 100,
-  );
-  const boxBottomEdge = Math.round(
-    (1 - timeline.data.box[3] - timeline.data.box[1]) * 100,
-  );
-
-  return (
-    <>
-      <div
-        className="absolute border-4 border-red-600"
-        onMouseEnter={() => setIsHovering(true)}
-        onMouseLeave={() => setIsHovering(false)}
-        onTouchStart={() => setIsHovering(true)}
-        onTouchEnd={() => setIsHovering(false)}
-        style={{
-          left: `${boxLeftEdge}%`,
-          top: `${boxTopEdge}%`,
-          right: `${boxRightEdge}%`,
-          bottom: `${boxBottomEdge}%`,
-        }}
-      >
-        {timeline.class_type == "entered_zone" ? (
-          <div className="absolute bottom-0 left-[50%] h-2 w-2 -translate-x-1/2 translate-y-3/4 bg-yellow-500" />
-        ) : null}
-      </div>
-      {isHovering && (
-        <div
-          className="absolute block bg-white p-4 text-lg text-black dark:bg-slate-800 dark:text-white"
-          style={getHoverStyle()}
-        >
-          <div>{`Area: ${getObjectArea()} px`}</div>
-          <div>{`Ratio: ${getObjectRatio()}`}</div>
-        </div>
-      )}
-    </>
-  );
-}
diff --git a/web/src/components/overlay/chip/GenAISummaryChip.tsx b/web/src/components/overlay/chip/GenAISummaryChip.tsx
index 137eec88a..d5f7a9969 100644
--- a/web/src/components/overlay/chip/GenAISummaryChip.tsx
+++ b/web/src/components/overlay/chip/GenAISummaryChip.tsx
@@ -1,17 +1,20 @@
 import { Dialog, DialogContent, DialogTrigger } from "@/components/ui/dialog";
 import { Drawer, DrawerContent, DrawerTrigger } from "@/components/ui/drawer";
 import { cn } from "@/lib/utils";
-import { ReviewSegment, ThreatLevel } from "@/types/review";
-import { useEffect, useMemo, useState } from "react";
+import {
+  ReviewSegment,
+  ThreatLevel,
+  THREAT_LEVEL_LABELS,
+} from "@/types/review";
+import React, { useEffect, useMemo, useState } from "react";
 import { isDesktop } from "react-device-detect";
 import { useTranslation } from "react-i18next";
 import { MdAutoAwesome } from "react-icons/md";
 
 type GenAISummaryChipProps = {
   review?: ReviewSegment;
-  onClick: () => void;
 };
-export function GenAISummaryChip({ review, onClick }: GenAISummaryChipProps) {
+export function GenAISummaryChip({ review }: GenAISummaryChipProps) {
   const [isVisible, setIsVisible] = useState(false);
 
   useEffect(() => {
@@ -23,9 +26,10 @@ export function GenAISummaryChip({ review, onClick }: GenAISummaryChipProps) {
       className={cn(
         "absolute left-1/2 top-8 z-30 flex max-w-[90vw] -translate-x-[50%] cursor-pointer select-none items-center gap-2 rounded-full p-2 text-sm transition-all duration-500",
         isVisible ? "translate-y-0 opacity-100" : "-translate-y-4 opacity-0",
-        isDesktop ? "bg-card" : "bg-secondary-foreground",
+        isDesktop
+          ? "bg-card text-primary"
+          : "bg-secondary-foreground text-white",
       )}
-      onClick={onClick}
     >
       <MdAutoAwesome className="shrink-0" />
       <span className="truncate">{review?.data.metadata?.title}</span>
@@ -36,10 +40,12 @@ export function GenAISummaryChip({ review, onClick }: GenAISummaryChipProps) {
 type GenAISummaryDialogProps = {
   review?: ReviewSegment;
   onOpen?: (open: boolean) => void;
+  children: React.ReactNode;
 };
 export function GenAISummaryDialog({
   review,
   onOpen,
+  children,
 }: GenAISummaryDialogProps) {
   const { t } = useTranslation(["views/explore"]);
 
@@ -51,24 +57,35 @@ export function GenAISummaryDialog({
       !aiAnalysis ||
       (!aiAnalysis.potential_threat_level && !aiAnalysis.other_concerns)
     ) {
-      return "None";
+      return t("label.none", { ns: "common" });
     }
 
     let concerns = "";
-    switch (aiAnalysis.potential_threat_level) {
-      case ThreatLevel.SUSPICIOUS:
-        concerns = `• ${t("suspiciousActivity", { ns: "views/events" })}\n`;
-        break;
-      case ThreatLevel.DANGER:
-        concerns = `• ${t("threateningActivity", { ns: "views/events" })}\n`;
-        break;
+    const threatLevel = aiAnalysis.potential_threat_level ?? 0;
+
+    if (threatLevel > 0) {
+      let label = "";
+
+      switch (threatLevel) {
+        case ThreatLevel.NEEDS_REVIEW:
+          label = t("needsReview", { ns: "views/events" });
+          break;
+        case ThreatLevel.SECURITY_CONCERN:
+          label = t("securityConcern", { ns: "views/events" });
+          break;
+        default:
+          label =
+            THREAT_LEVEL_LABELS[threatLevel as ThreatLevel] ||
+            t("details.unknown", { ns: "views/classificationModel" });
+      }
+      concerns = `• ${label}\n`;
     }
 
     (aiAnalysis.other_concerns ?? []).forEach((c) => {
       concerns += `• ${c}\n`;
     });
 
-    return concerns || "None";
+    return concerns || t("label.none", { ns: "common" });
   }, [aiAnalysis, t]);
 
   // layout
@@ -91,7 +108,7 @@ export function GenAISummaryDialog({
   return (
     <Overlay open={open} onOpenChange={setOpen}>
       <Trigger asChild>
-        <GenAISummaryChip review={review} onClick={() => setOpen(true)} />
+        <div>{children}</div>
       </Trigger>
       <Content
         className={cn(
@@ -102,6 +119,10 @@ export function GenAISummaryDialog({
         )}
       >
         {t("aiAnalysis.title")}
+        <div className="text-sm text-primary/40">
+          {t("details.title.label")}
+        </div>
+        <div className="text-sm">{aiAnalysis.title}</div>
         <div className="text-sm text-primary/40">
           {t("details.description.label")}
         </div>
diff --git a/web/src/components/overlay/detail/AnnotationOffsetSlider.tsx b/web/src/components/overlay/detail/AnnotationOffsetSlider.tsx
new file mode 100644
index 000000000..fbc587413
--- /dev/null
+++ b/web/src/components/overlay/detail/AnnotationOffsetSlider.tsx
@@ -0,0 +1,140 @@
+import { useCallback, useState } from "react";
+import { Slider } from "@/components/ui/slider";
+import { Button } from "@/components/ui/button";
+import { Popover, PopoverContent, PopoverTrigger } from "../../ui/popover";
+import { useDetailStream } from "@/context/detail-stream-context";
+import axios from "axios";
+import { useSWRConfig } from "swr";
+import { toast } from "sonner";
+import { Trans, useTranslation } from "react-i18next";
+import { LuInfo } from "react-icons/lu";
+import { cn } from "@/lib/utils";
+import { isMobile } from "react-device-detect";
+import { useIsAdmin } from "@/hooks/use-is-admin";
+
+type Props = {
+  className?: string;
+};
+
+export default function AnnotationOffsetSlider({ className }: Props) {
+  const { annotationOffset, setAnnotationOffset, camera } = useDetailStream();
+  const isAdmin = useIsAdmin();
+  const { mutate } = useSWRConfig();
+  const { t } = useTranslation(["views/explore"]);
+  const [isSaving, setIsSaving] = useState(false);
+
+  const handleChange = useCallback(
+    (values: number[]) => {
+      if (!values || values.length === 0) return;
+      const valueMs = values[0];
+      setAnnotationOffset(valueMs);
+    },
+    [setAnnotationOffset],
+  );
+
+  const reset = useCallback(() => {
+    setAnnotationOffset(0);
+  }, [setAnnotationOffset]);
+
+  const save = useCallback(async () => {
+    setIsSaving(true);
+    try {
+      // save value in milliseconds to config
+      await axios.put(
+        `config/set?cameras.${camera}.detect.annotation_offset=${annotationOffset}`,
+        { requires_restart: 0 },
+      );
+
+      toast.success(
+        t("trackingDetails.annotationSettings.offset.toast.success", {
+          camera,
+        }),
+        { position: "top-center" },
+      );
+
+      // refresh config
+      await mutate("config");
+    } catch (e: unknown) {
+      const err = e as {
+        response?: { data?: { message?: string } };
+        message?: string;
+      };
+      const errorMessage =
+        err?.response?.data?.message || err?.message || "Unknown error";
+      toast.error(t("toast.save.error.title", { errorMessage, ns: "common" }), {
+        position: "top-center",
+      });
+    } finally {
+      setIsSaving(false);
+    }
+  }, [annotationOffset, camera, mutate, t]);
+
+  return (
+    <div
+      className={cn(
+        "flex flex-col gap-0.5",
+        isMobile && "landscape:gap-3",
+        className,
+      )}
+    >
+      <div
+        className={cn(
+          "flex items-center gap-3",
+          isMobile &&
+            "landscape:flex-col landscape:items-start landscape:gap-4",
+        )}
+      >
+        <div className="flex max-w-28 flex-row items-center gap-2 text-sm md:max-w-48">
+          <span className="max-w-24 md:max-w-44">
+            {t("trackingDetails.annotationSettings.offset.label")}:
+          </span>
+          <span className="text-primary-variant">{annotationOffset}</span>
+        </div>
+        <div className="w-full flex-1 landscape:flex">
+          <Slider
+            value={[annotationOffset]}
+            min={-2500}
+            max={2500}
+            step={50}
+            onValueChange={handleChange}
+          />
+        </div>
+        <div className="flex items-center gap-2">
+          <Button size="sm" variant="ghost" onClick={reset}>
+            {t("button.reset", { ns: "common" })}
+          </Button>
+          {isAdmin && (
+            <Button size="sm" onClick={save} disabled={isSaving}>
+              {isSaving
+                ? t("button.saving", { ns: "common" })
+                : t("button.save", { ns: "common" })}
+            </Button>
+          )}
+        </div>
+      </div>
+      <div
+        className={cn(
+          "flex items-center gap-2 text-xs text-muted-foreground",
+          isMobile && "landscape:flex-col landscape:items-start",
+        )}
+      >
+        <Trans ns="views/explore">
+          trackingDetails.annotationSettings.offset.millisecondsToOffset
+        </Trans>
+        <Popover>
+          <PopoverTrigger asChild>
+            <button
+              className="focus:outline-none"
+              aria-label={t("trackingDetails.annotationSettings.offset.tips")}
+            >
+              <LuInfo className="size-4" />
+            </button>
+          </PopoverTrigger>
+          <PopoverContent className="w-80 text-sm">
+            {t("trackingDetails.annotationSettings.offset.tips")}
+          </PopoverContent>
+        </Popover>
+      </div>
+    </div>
+  );
+}
diff --git a/web/src/components/overlay/detail/AnnotationSettingsPane.tsx b/web/src/components/overlay/detail/AnnotationSettingsPane.tsx
index 9e92bc011..a08be0cfd 100644
--- a/web/src/components/overlay/detail/AnnotationSettingsPane.tsx
+++ b/web/src/components/overlay/detail/AnnotationSettingsPane.tsx
@@ -1,6 +1,3 @@
-import Heading from "@/components/ui/heading";
-import { Label } from "@/components/ui/label";
-import { Switch } from "@/components/ui/switch";
 import { Event } from "@/types/event";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { zodResolver } from "@hookform/resolvers/zod";
@@ -8,7 +5,6 @@ import axios from "axios";
 import { useCallback, useState } from "react";
 import { useForm } from "react-hook-form";
 import { LuExternalLink } from "react-icons/lu";
-import { PiWarningCircle } from "react-icons/pi";
 import { Link } from "react-router-dom";
 import { toast } from "sonner";
 import useSWR from "swr";
@@ -28,22 +24,20 @@ import { Input } from "@/components/ui/input";
 import { Separator } from "@/components/ui/separator";
 import { Trans, useTranslation } from "react-i18next";
 import { useDocDomain } from "@/hooks/use-doc-domain";
+import { useIsAdmin } from "@/hooks/use-is-admin";
 
 type AnnotationSettingsPaneProps = {
   event: Event;
-  showZones: boolean;
-  setShowZones: React.Dispatch<React.SetStateAction<boolean>>;
   annotationOffset: number;
   setAnnotationOffset: React.Dispatch<React.SetStateAction<number>>;
 };
 export function AnnotationSettingsPane({
   event,
-  showZones,
-  setShowZones,
   annotationOffset,
   setAnnotationOffset,
 }: AnnotationSettingsPaneProps) {
   const { t } = useTranslation(["views/explore"]);
+  const isAdmin = useIsAdmin();
   const { getLocaleDocUrl } = useDocDomain();
 
   const { data: config, mutate: updateConfig } =
@@ -79,7 +73,7 @@ export function AnnotationSettingsPane({
         .then((res) => {
           if (res.status === 200) {
             toast.success(
-              t("objectLifecycle.annotationSettings.offset.toast.success", {
+              t("trackingDetails.annotationSettings.offset.toast.success", {
                 camera: event?.camera,
               }),
               {
@@ -140,79 +134,61 @@ export function AnnotationSettingsPane({
   }
 
   return (
-    <div className="mb-3 space-y-3 rounded-lg border border-secondary-foreground bg-background_alt p-2">
-      <Heading as="h4" className="my-2">
-        {t("objectLifecycle.annotationSettings.title")}
-      </Heading>
-      <div className="flex flex-col">
-        <div className="flex flex-row items-center justify-start gap-2 p-3">
-          <Switch
-            id="show-zones"
-            checked={showZones}
-            onCheckedChange={setShowZones}
-          />
-          <Label className="cursor-pointer" htmlFor="show-zones">
-            {t("objectLifecycle.annotationSettings.showAllZones.title")}
-          </Label>
-        </div>
-        <div className="text-sm text-muted-foreground">
-          {t("objectLifecycle.annotationSettings.showAllZones.desc")}
-        </div>
+    <div className="p-4">
+      <div className="text-md mb-2">
+        {t("trackingDetails.annotationSettings.title")}
       </div>
-      <Separator className="my-2 flex bg-secondary" />
+
+      <Separator className="mb-4 flex bg-secondary" />
       <Form {...form}>
         <form
           onSubmit={form.handleSubmit(onSubmit)}
-          className="flex flex-1 flex-col space-y-6"
+          className="flex flex-1 flex-col space-y-3"
         >
           <FormField
             control={form.control}
             name="annotationOffset"
             render={({ field }) => (
-              <FormItem>
-                <FormLabel>
-                  {t("objectLifecycle.annotationSettings.offset.label")}
-                </FormLabel>
-                <div className="flex flex-col gap-3 md:flex-row-reverse md:gap-8">
-                  <div className="flex flex-row items-center gap-3 rounded-lg bg-destructive/50 p-3 text-sm text-primary-variant md:my-0 md:my-5">
-                    <PiWarningCircle className="size-24" />
-                    <div>
-                      <Trans ns="views/explore">
-                        objectLifecycle.annotationSettings.offset.desc
-                      </Trans>
-                      <div className="mt-2 flex items-center text-primary">
-                        <Link
-                          to={getLocaleDocUrl("configuration/reference")}
-                          target="_blank"
-                          rel="noopener noreferrer"
-                          className="inline"
-                        >
-                          {t("readTheDocumentation", { ns: "common" })}
-                          <LuExternalLink className="ml-2 inline-flex size-3" />
-                        </Link>
-                      </div>
-                    </div>
-                  </div>
-                  <div className="flex flex-col">
-                    <FormControl>
-                      <Input
-                        className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
-                        placeholder="0"
-                        {...field}
-                      />
-                    </FormControl>
+              <>
+                <FormItem className="flex flex-row items-start justify-between space-x-2">
+                  <div className="flex flex-col gap-1">
+                    <FormLabel>
+                      {t("trackingDetails.annotationSettings.offset.label")}
+                    </FormLabel>
                     <FormDescription>
                       <Trans ns="views/explore">
-                        objectLifecycle.annotationSettings.offset.millisecondsToOffset
+                        trackingDetails.annotationSettings.offset.millisecondsToOffset
                       </Trans>
-                      <div className="mt-2">
-                        {t("objectLifecycle.annotationSettings.offset.tips")}
-                      </div>
+                      <FormMessage />
                     </FormDescription>
                   </div>
+                  <div className="flex flex-col gap-3">
+                    <div className="min-w-24">
+                      <FormControl>
+                        <Input
+                          className="text-md w-full border border-input bg-background p-2 text-center hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
+                          placeholder="0"
+                          {...field}
+                        />
+                      </FormControl>
+                    </div>
+                  </div>
+                </FormItem>
+                <div className="mt-1 text-sm text-secondary-foreground">
+                  {t("trackingDetails.annotationSettings.offset.tips")}
+                  <div className="mt-2 flex items-center text-primary-variant">
+                    <Link
+                      to={getLocaleDocUrl("configuration/reference")}
+                      target="_blank"
+                      rel="noopener noreferrer"
+                      className="inline"
+                    >
+                      {t("readTheDocumentation", { ns: "common" })}
+                      <LuExternalLink className="ml-2 inline-flex size-3" />
+                    </Link>
+                  </div>
                 </div>
-                <FormMessage />
-              </FormItem>
+              </>
             )}
           />
 
@@ -220,27 +196,31 @@ export function AnnotationSettingsPane({
             <div className="flex flex-row gap-2 pt-5">
               <Button
                 className="flex flex-1"
+                variant="default"
                 aria-label={t("button.apply", { ns: "common" })}
+                type="button"
                 onClick={form.handleSubmit(onApply)}
               >
                 {t("button.apply", { ns: "common" })}
               </Button>
-              <Button
-                variant="select"
-                aria-label={t("button.save", { ns: "common" })}
-                disabled={isLoading}
-                className="flex flex-1"
-                type="submit"
-              >
-                {isLoading ? (
-                  <div className="flex flex-row items-center gap-2">
-                    <ActivityIndicator />
-                    <span>{t("button.saving", { ns: "common" })}</span>
-                  </div>
-                ) : (
-                  t("button.save", { ns: "common" })
-                )}
-              </Button>
+              {isAdmin && (
+                <Button
+                  variant="select"
+                  aria-label={t("button.save", { ns: "common" })}
+                  disabled={isLoading}
+                  className="flex flex-1"
+                  type="submit"
+                >
+                  {isLoading ? (
+                    <div className="flex flex-row items-center gap-2">
+                      <ActivityIndicator />
+                      <span>{t("button.saving", { ns: "common" })}</span>
+                    </div>
+                  ) : (
+                    t("button.save", { ns: "common" })
+                  )}
+                </Button>
+              )}
             </div>
           </div>
         </form>
diff --git a/web/src/components/overlay/detail/DetailActionsMenu.tsx b/web/src/components/overlay/detail/DetailActionsMenu.tsx
new file mode 100644
index 000000000..87f77eaf8
--- /dev/null
+++ b/web/src/components/overlay/detail/DetailActionsMenu.tsx
@@ -0,0 +1,180 @@
+import { useMemo, useState } from "react";
+import { Event } from "@/types/event";
+import { baseUrl } from "@/api/baseUrl";
+import { ReviewSegment, REVIEW_PADDING } from "@/types/review";
+import useSWR from "swr";
+import { useNavigate } from "react-router-dom";
+import { useTranslation } from "react-i18next";
+import {
+  DropdownMenu,
+  DropdownMenuContent,
+  DropdownMenuItem,
+  DropdownMenuTrigger,
+  DropdownMenuPortal,
+} from "@/components/ui/dropdown-menu";
+import { HiDotsHorizontal } from "react-icons/hi";
+import { SearchResult } from "@/types/search";
+import { FrigateConfig } from "@/types/frigateConfig";
+import { useIsAdmin } from "@/hooks/use-is-admin";
+
+type Props = {
+  search: SearchResult | Event;
+  config?: FrigateConfig;
+  setSearch?: (s: SearchResult | undefined) => void;
+  setSimilarity?: () => void;
+  faceNames?: string[];
+  onTrainFace?: (name: string) => void;
+  hasFace?: boolean;
+};
+
+export default function DetailActionsMenu({
+  search,
+  config,
+  setSearch,
+  setSimilarity,
+}: Props) {
+  const { t } = useTranslation(["views/explore", "views/faceLibrary"]);
+  const navigate = useNavigate();
+  const [isOpen, setIsOpen] = useState(false);
+  const isAdmin = useIsAdmin();
+
+  const clipTimeRange = useMemo(() => {
+    const startTime = (search.start_time ?? 0) - REVIEW_PADDING;
+    const endTime = (search.end_time ?? Date.now() / 1000) + REVIEW_PADDING;
+    return `start/${startTime}/end/${endTime}`;
+  }, [search]);
+
+  // currently, audio event ids are not saved in review items
+  const { data: reviewItem } = useSWR<ReviewSegment>(
+    search.data?.type === "audio" ? null : [`review/event/${search.id}`],
+  );
+
+  // don't render menu at all if no options are available
+  const hasSemanticSearchOption =
+    config?.semantic_search.enabled &&
+    setSimilarity !== undefined &&
+    search.data?.type === "object";
+
+  const hasReviewItem = !!(reviewItem && reviewItem.id);
+
+  const hasAdminTriggerOption =
+    isAdmin &&
+    config?.semantic_search.enabled &&
+    search.data?.type === "object";
+
+  if (
+    !search.has_snapshot &&
+    !search.has_clip &&
+    !hasSemanticSearchOption &&
+    !hasReviewItem &&
+    !hasAdminTriggerOption
+  ) {
+    return null;
+  }
+
+  return (
+    <DropdownMenu open={isOpen} onOpenChange={setIsOpen}>
+      <DropdownMenuTrigger>
+        <div className="rounded" role="button">
+          <HiDotsHorizontal className="size-4 text-muted-foreground" />
+        </div>
+      </DropdownMenuTrigger>
+      <DropdownMenuPortal>
+        <DropdownMenuContent align="end">
+          {search.has_snapshot && (
+            <DropdownMenuItem>
+              <a
+                className="w-full"
+                href={`${baseUrl}api/events/${search.id}/snapshot.jpg?bbox=1`}
+                download={`${search.camera}_${search.label}.jpg`}
+              >
+                <div className="flex cursor-pointer items-center gap-2">
+                  <span>{t("itemMenu.downloadSnapshot.label")}</span>
+                </div>
+              </a>
+            </DropdownMenuItem>
+          )}
+          {search.has_snapshot &&
+            config?.cameras[search.camera].snapshots.clean_copy && (
+              <DropdownMenuItem>
+                <a
+                  className="w-full"
+                  href={`${baseUrl}api/events/${search.id}/snapshot-clean.webp`}
+                  download={`${search.camera}_${search.label}-clean.webp`}
+                >
+                  <div className="flex cursor-pointer items-center gap-2">
+                    <span>{t("itemMenu.downloadCleanSnapshot.label")}</span>
+                  </div>
+                </a>
+              </DropdownMenuItem>
+            )}
+          {search.has_clip && (
+            <DropdownMenuItem>
+              <a
+                className="w-full"
+                href={`${baseUrl}api/${search.camera}/${clipTimeRange}/clip.mp4`}
+                download
+              >
+                <div className="flex cursor-pointer items-center gap-2">
+                  <span>{t("itemMenu.downloadVideo.label")}</span>
+                </div>
+              </a>
+            </DropdownMenuItem>
+          )}
+
+          {config?.semantic_search.enabled &&
+            setSimilarity != undefined &&
+            search.data?.type == "object" && (
+              <DropdownMenuItem
+                onClick={() => {
+                  setIsOpen(false);
+                  setTimeout(() => {
+                    setSearch?.(undefined);
+                    setSimilarity?.();
+                  }, 0);
+                }}
+              >
+                <div className="flex cursor-pointer items-center gap-2">
+                  <span>{t("itemMenu.findSimilar.label")}</span>
+                </div>
+              </DropdownMenuItem>
+            )}
+
+          {reviewItem && reviewItem.id && (
+            <DropdownMenuItem
+              onClick={() => {
+                setIsOpen(false);
+                setTimeout(() => {
+                  navigate(`/review?id=${reviewItem.id}`);
+                }, 0);
+              }}
+            >
+              <div className="flex cursor-pointer items-center gap-2">
+                <span>{t("itemMenu.viewInHistory.label")}</span>
+              </div>
+            </DropdownMenuItem>
+          )}
+
+          {isAdmin &&
+            config?.semantic_search.enabled &&
+            search.data.type == "object" && (
+              <DropdownMenuItem
+                onClick={() => {
+                  setIsOpen(false);
+                  setTimeout(() => {
+                    navigate(
+                      `/settings?page=triggers&camera=${search.camera}&event_id=${search.id}`,
+                    );
+                  }, 0);
+                }}
+              >
+                <div className="flex cursor-pointer items-center gap-2">
+                  <span>{t("itemMenu.addTrigger.label")}</span>
+                </div>
+              </DropdownMenuItem>
+            )}
+        </DropdownMenuContent>
+      </DropdownMenuPortal>
+    </DropdownMenu>
+  );
+}
diff --git a/web/src/components/overlay/detail/FaceCreateWizardDialog.tsx b/web/src/components/overlay/detail/FaceCreateWizardDialog.tsx
index 3ed512303..6436ef040 100644
--- a/web/src/components/overlay/detail/FaceCreateWizardDialog.tsx
+++ b/web/src/components/overlay/detail/FaceCreateWizardDialog.tsx
@@ -102,17 +102,23 @@ export default function CreateFaceWizardDialog({
       }}
     >
       <Content
-        className={cn("flex flex-col gap-4", isDesktop ? "max-w-3xl" : "p-4")}
+        className={cn(
+          "flex flex-col gap-4",
+          isDesktop ? (step == 0 ? "max-w-xl" : "max-w-3xl") : "p-4",
+        )}
       >
-        <Header>
-          <Title>{t("button.addFace")}</Title>
-          {isDesktop && <Description>{t("description.addFace")}</Description>}
-        </Header>
         <StepIndicator
           steps={STEPS}
           currentStep={step}
           translationNameSpace="views/faceLibrary"
+          className="mb-4 justify-start"
+          variant="dots"
         />
+        <Header>
+          <Title>{t("button.addFace")}</Title>
+          {isDesktop && <Description>{t("description.addFace")}</Description>}
+        </Header>
+
         {step == 0 && (
           <TextEntry
             placeholder={t("description.placeholder")}
diff --git a/web/src/components/overlay/detail/ObjectLifecycle.tsx b/web/src/components/overlay/detail/ObjectLifecycle.tsx
deleted file mode 100644
index 3fc702854..000000000
--- a/web/src/components/overlay/detail/ObjectLifecycle.tsx
+++ /dev/null
@@ -1,789 +0,0 @@
-import useSWR from "swr";
-import { useCallback, useEffect, useMemo, useRef, useState } from "react";
-import { Event } from "@/types/event";
-import ActivityIndicator from "@/components/indicators/activity-indicator";
-import {
-  Carousel,
-  CarouselApi,
-  CarouselContent,
-  CarouselItem,
-  CarouselNext,
-  CarouselPrevious,
-} from "@/components/ui/carousel";
-import { Button } from "@/components/ui/button";
-import { ObjectLifecycleSequence } from "@/types/timeline";
-import Heading from "@/components/ui/heading";
-import { ReviewDetailPaneType } from "@/types/review";
-import { FrigateConfig } from "@/types/frigateConfig";
-import { formatUnixTimestampToDateTime } from "@/utils/dateUtil";
-import { getIconForLabel } from "@/utils/iconUtil";
-import {
-  LuCircle,
-  LuCircleDot,
-  LuEar,
-  LuFolderX,
-  LuPlay,
-  LuSettings,
-  LuTruck,
-} from "react-icons/lu";
-import { IoMdArrowRoundBack, IoMdExit } from "react-icons/io";
-import {
-  MdFaceUnlock,
-  MdOutlineLocationOn,
-  MdOutlinePictureInPictureAlt,
-} from "react-icons/md";
-import { cn } from "@/lib/utils";
-import { Card, CardContent } from "@/components/ui/card";
-import { useApiHost } from "@/api";
-import { isDesktop, isIOS, isSafari } from "react-device-detect";
-import ImageLoadingIndicator from "@/components/indicators/ImageLoadingIndicator";
-import {
-  Tooltip,
-  TooltipContent,
-  TooltipTrigger,
-} from "@/components/ui/tooltip";
-import { AnnotationSettingsPane } from "./AnnotationSettingsPane";
-import { TooltipPortal } from "@radix-ui/react-tooltip";
-import {
-  ContextMenu,
-  ContextMenuContent,
-  ContextMenuItem,
-  ContextMenuTrigger,
-} from "@/components/ui/context-menu";
-import { useNavigate } from "react-router-dom";
-import { ObjectPath } from "./ObjectPath";
-import { getLifecycleItemDescription } from "@/utils/lifecycleUtil";
-import { IoPlayCircleOutline } from "react-icons/io5";
-import { useTranslation } from "react-i18next";
-
-type ObjectLifecycleProps = {
-  className?: string;
-  event: Event;
-  fullscreen?: boolean;
-  setPane: React.Dispatch<React.SetStateAction<ReviewDetailPaneType>>;
-};
-
-export default function ObjectLifecycle({
-  className,
-  event,
-  fullscreen = false,
-  setPane,
-}: ObjectLifecycleProps) {
-  const { t } = useTranslation(["views/explore"]);
-
-  const { data: eventSequence } = useSWR<ObjectLifecycleSequence[]>([
-    "timeline",
-    {
-      source_id: event.id,
-    },
-  ]);
-
-  const { data: config } = useSWR<FrigateConfig>("config");
-  const apiHost = useApiHost();
-  const navigate = useNavigate();
-
-  const [imgLoaded, setImgLoaded] = useState(false);
-  const imgRef = useRef<HTMLImageElement>(null);
-
-  const [selectedZone, setSelectedZone] = useState("");
-  const [lifecycleZones, setLifecycleZones] = useState<string[]>([]);
-  const [showControls, setShowControls] = useState(false);
-  const [showZones, setShowZones] = useState(true);
-
-  const aspectRatio = useMemo(() => {
-    if (!config) {
-      return 16 / 9;
-    }
-
-    return (
-      config.cameras[event.camera].detect.width /
-      config.cameras[event.camera].detect.height
-    );
-  }, [config, event]);
-
-  const getZoneColor = useCallback(
-    (zoneName: string) => {
-      const zoneColor =
-        config?.cameras?.[event.camera]?.zones?.[zoneName]?.color;
-      if (zoneColor) {
-        const reversed = [...zoneColor].reverse();
-        return reversed;
-      }
-    },
-    [config, event],
-  );
-
-  const getObjectColor = useCallback(
-    (label: string) => {
-      const objectColor = config?.model?.colormap[label];
-      if (objectColor) {
-        const reversed = [...objectColor].reverse();
-        return reversed;
-      }
-    },
-    [config],
-  );
-
-  const getZonePolygon = useCallback(
-    (zoneName: string) => {
-      if (!imgRef.current || !config) {
-        return;
-      }
-      const zonePoints =
-        config?.cameras[event.camera].zones[zoneName].coordinates;
-      const imgElement = imgRef.current;
-      const imgRect = imgElement.getBoundingClientRect();
-
-      return zonePoints
-        .split(",")
-        .map(Number.parseFloat)
-        .reduce((acc, value, index) => {
-          const isXCoordinate = index % 2 === 0;
-          const coordinate = isXCoordinate
-            ? value * imgRect.width
-            : value * imgRect.height;
-          acc.push(coordinate);
-          return acc;
-        }, [] as number[])
-        .join(",");
-    },
-    [config, imgRef, event],
-  );
-
-  const [boxStyle, setBoxStyle] = useState<React.CSSProperties | null>(null);
-
-  const configAnnotationOffset = useMemo(() => {
-    if (!config) {
-      return 0;
-    }
-
-    return config.cameras[event.camera]?.detect?.annotation_offset || 0;
-  }, [config, event]);
-
-  const [annotationOffset, setAnnotationOffset] = useState<number>(
-    configAnnotationOffset,
-  );
-
-  const detectArea = useMemo(() => {
-    if (!config) {
-      return 0;
-    }
-    return (
-      config.cameras[event.camera]?.detect?.width *
-      config.cameras[event.camera]?.detect?.height
-    );
-  }, [config, event.camera]);
-
-  const savedPathPoints = useMemo(() => {
-    return (
-      event.data.path_data?.map(([coords, timestamp]: [number[], number]) => ({
-        x: coords[0],
-        y: coords[1],
-        timestamp,
-        lifecycle_item: undefined,
-      })) || []
-    );
-  }, [event.data.path_data]);
-
-  const eventSequencePoints = useMemo(() => {
-    return (
-      eventSequence
-        ?.filter((event) => event.data.box !== undefined)
-        .map((event) => {
-          const [left, top, width, height] = event.data.box!;
-
-          return {
-            x: left + width / 2, // Center x-coordinate
-            y: top + height, // Bottom y-coordinate
-            timestamp: event.timestamp,
-            lifecycle_item: event,
-          };
-        }) || []
-    );
-  }, [eventSequence]);
-
-  // final object path with timeline points included
-  const pathPoints = useMemo(() => {
-    // don't display a path if we don't have any saved path points
-    if (
-      savedPathPoints.length === 0 ||
-      config?.cameras[event.camera]?.onvif.autotracking.enabled_in_config
-    )
-      return [];
-    return [...savedPathPoints, ...eventSequencePoints].sort(
-      (a, b) => a.timestamp - b.timestamp,
-    );
-  }, [savedPathPoints, eventSequencePoints, config, event]);
-
-  const [timeIndex, setTimeIndex] = useState(0);
-
-  const handleSetBox = useCallback(
-    (box: number[]) => {
-      if (imgRef.current && Array.isArray(box) && box.length === 4) {
-        const imgElement = imgRef.current;
-        const imgRect = imgElement.getBoundingClientRect();
-
-        const style = {
-          left: `${box[0] * imgRect.width}px`,
-          top: `${box[1] * imgRect.height}px`,
-          width: `${box[2] * imgRect.width}px`,
-          height: `${box[3] * imgRect.height}px`,
-          borderColor: `rgb(${getObjectColor(event.label)?.join(",")})`,
-        };
-
-        setBoxStyle(style);
-      }
-    },
-    [imgRef, event, getObjectColor],
-  );
-
-  // image
-
-  const [src, setSrc] = useState(
-    `${apiHost}api/${event.camera}/recordings/${event.start_time + annotationOffset / 1000}/snapshot.jpg?height=500`,
-  );
-  const [hasError, setHasError] = useState(false);
-
-  useEffect(() => {
-    if (timeIndex) {
-      const newSrc = `${apiHost}api/${event.camera}/recordings/${timeIndex + annotationOffset / 1000}/snapshot.jpg?height=500`;
-      setSrc(newSrc);
-    }
-    setImgLoaded(false);
-    setHasError(false);
-    // we know that these deps are correct
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [timeIndex, annotationOffset]);
-
-  // carousels
-
-  const [mainApi, setMainApi] = useState<CarouselApi>();
-  const [thumbnailApi, setThumbnailApi] = useState<CarouselApi>();
-  const [current, setCurrent] = useState(0);
-
-  const handleThumbnailClick = (index: number) => {
-    if (!mainApi || !thumbnailApi) {
-      return;
-    }
-    mainApi.scrollTo(index);
-    setCurrent(index);
-  };
-
-  const handleThumbnailNavigation = useCallback(
-    (direction: "next" | "previous") => {
-      if (!mainApi || !thumbnailApi || !eventSequence) return;
-      const newIndex =
-        direction === "next"
-          ? Math.min(current + 1, eventSequence.length - 1)
-          : Math.max(current - 1, 0);
-      mainApi.scrollTo(newIndex);
-      thumbnailApi.scrollTo(newIndex);
-      setCurrent(newIndex);
-    },
-    [mainApi, thumbnailApi, current, eventSequence],
-  );
-
-  useEffect(() => {
-    if (eventSequence && eventSequence.length > 0) {
-      if (current == -1) {
-        // normal path point
-        setBoxStyle(null);
-        setLifecycleZones([]);
-      } else {
-        // lifecycle point
-        setTimeIndex(eventSequence?.[current].timestamp);
-        handleSetBox(eventSequence?.[current].data.box ?? []);
-        setLifecycleZones(eventSequence?.[current].data.zones);
-      }
-      setSelectedZone("");
-    }
-  }, [current, imgLoaded, handleSetBox, eventSequence]);
-
-  useEffect(() => {
-    if (!mainApi || !thumbnailApi || !eventSequence || !event) {
-      return;
-    }
-
-    const handleTopSelect = () => {
-      const selected = mainApi.selectedScrollSnap();
-      setCurrent(selected);
-      thumbnailApi.scrollTo(selected);
-    };
-
-    mainApi.on("select", handleTopSelect).on("reInit", handleTopSelect);
-
-    return () => {
-      mainApi.off("select", handleTopSelect);
-    };
-    // we know that these deps are correct
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [mainApi, thumbnailApi]);
-
-  const handlePathPointClick = useCallback(
-    (index: number) => {
-      if (!mainApi || !thumbnailApi || !eventSequence) return;
-      const sequenceIndex = eventSequence.findIndex(
-        (item) => item.timestamp === pathPoints[index].timestamp,
-      );
-      if (sequenceIndex !== -1) {
-        mainApi.scrollTo(sequenceIndex);
-        thumbnailApi.scrollTo(sequenceIndex);
-        setCurrent(sequenceIndex);
-      } else {
-        // click on a normal path point, not a lifecycle point
-        setCurrent(-1);
-        setTimeIndex(pathPoints[index].timestamp);
-      }
-    },
-    [mainApi, thumbnailApi, eventSequence, pathPoints],
-  );
-
-  if (!event.id || !eventSequence || !config || !timeIndex) {
-    return <ActivityIndicator />;
-  }
-
-  return (
-    <div className={className}>
-      {!fullscreen && (
-        <div className={cn("flex items-center gap-2")}>
-          <Button
-            className="mb-2 mt-3 flex items-center gap-2.5 rounded-lg md:mt-0"
-            aria-label={t("label.back", { ns: "common" })}
-            size="sm"
-            onClick={() => setPane("overview")}
-          >
-            <IoMdArrowRoundBack className="size-5 text-secondary-foreground" />
-            {isDesktop && (
-              <div className="text-primary">
-                {t("button.back", { ns: "common" })}
-              </div>
-            )}
-          </Button>
-        </div>
-      )}
-
-      <div
-        className={cn(
-          "relative mx-auto flex max-h-[50dvh] flex-row justify-center",
-        )}
-        style={{
-          aspectRatio: !imgLoaded ? aspectRatio : undefined,
-        }}
-      >
-        <ImageLoadingIndicator
-          className="absolute inset-0"
-          imgLoaded={imgLoaded}
-        />
-        {hasError && (
-          <div className="relative aspect-video">
-            <div className="flex flex-col items-center justify-center p-20 text-center">
-              <LuFolderX className="size-16" />
-              {t("objectLifecycle.noImageFound")}
-            </div>
-          </div>
-        )}
-        <div
-          className={cn(
-            "relative inline-block",
-            imgLoaded ? "visible" : "invisible",
-          )}
-        >
-          <ContextMenu>
-            <ContextMenuTrigger>
-              <img
-                key={event.id}
-                ref={imgRef}
-                className={cn(
-                  "max-h-[50dvh] max-w-full select-none rounded-lg object-contain",
-                )}
-                loading={isSafari ? "eager" : "lazy"}
-                style={
-                  isIOS
-                    ? {
-                        WebkitUserSelect: "none",
-                        WebkitTouchCallout: "none",
-                      }
-                    : undefined
-                }
-                draggable={false}
-                src={src}
-                onLoad={() => setImgLoaded(true)}
-                onError={() => setHasError(true)}
-              />
-
-              {showZones &&
-                imgRef.current?.width &&
-                imgRef.current?.height &&
-                lifecycleZones?.map((zone) => (
-                  <div
-                    className="absolute inset-0 flex items-center justify-center"
-                    style={{
-                      width: imgRef.current?.clientWidth,
-                      height: imgRef.current?.clientHeight,
-                    }}
-                    key={zone}
-                  >
-                    <svg
-                      viewBox={`0 0 ${imgRef.current?.width} ${imgRef.current?.height}`}
-                      className="absolute inset-0"
-                    >
-                      <polygon
-                        points={getZonePolygon(zone)}
-                        className="fill-none stroke-2"
-                        style={{
-                          stroke: `rgb(${getZoneColor(zone)?.join(",")})`,
-                          fill:
-                            selectedZone == zone
-                              ? `rgba(${getZoneColor(zone)?.join(",")}, 0.5)`
-                              : `rgba(${getZoneColor(zone)?.join(",")}, 0.3)`,
-                          strokeWidth: selectedZone == zone ? 4 : 2,
-                        }}
-                      />
-                    </svg>
-                  </div>
-                ))}
-
-              {boxStyle && (
-                <div className="absolute border-2" style={boxStyle}>
-                  <div className="absolute bottom-[-3px] left-1/2 h-[5px] w-[5px] -translate-x-1/2 transform bg-yellow-500" />
-                </div>
-              )}
-              {imgRef.current?.width &&
-                imgRef.current?.height &&
-                pathPoints &&
-                pathPoints.length > 0 && (
-                  <div
-                    className="absolute inset-0 flex items-center justify-center"
-                    style={{
-                      width: imgRef.current?.clientWidth,
-                      height: imgRef.current?.clientHeight,
-                    }}
-                    key="path"
-                  >
-                    <svg
-                      viewBox={`0 0 ${imgRef.current?.width} ${imgRef.current?.height}`}
-                      className="absolute inset-0"
-                    >
-                      <ObjectPath
-                        positions={pathPoints}
-                        color={getObjectColor(event.label)}
-                        width={2}
-                        imgRef={imgRef}
-                        onPointClick={handlePathPointClick}
-                      />
-                    </svg>
-                  </div>
-                )}
-            </ContextMenuTrigger>
-            <ContextMenuContent>
-              <ContextMenuItem>
-                <div
-                  className="flex w-full cursor-pointer items-center justify-start gap-2 p-2"
-                  onClick={() =>
-                    navigate(
-                      `/settings?page=masksAndZones&camera=${event.camera}&object_mask=${eventSequence?.[current].data.box}`,
-                    )
-                  }
-                >
-                  <div className="text-primary">
-                    {t("objectLifecycle.createObjectMask")}
-                  </div>
-                </div>
-              </ContextMenuItem>
-            </ContextMenuContent>
-          </ContextMenu>
-        </div>
-      </div>
-
-      <div className="mt-3 flex flex-row items-center justify-between">
-        <Heading as="h4">{t("objectLifecycle.title")}</Heading>
-
-        <div className="flex flex-row gap-2">
-          <Tooltip>
-            <TooltipTrigger asChild>
-              <Button
-                variant={showControls ? "select" : "default"}
-                className="size-7 p-1.5"
-                aria-label={t("objectLifecycle.adjustAnnotationSettings")}
-              >
-                <LuSettings
-                  className="size-5"
-                  onClick={() => setShowControls(!showControls)}
-                />
-              </Button>
-            </TooltipTrigger>
-            <TooltipPortal>
-              <TooltipContent>
-                {t("objectLifecycle.adjustAnnotationSettings")}
-              </TooltipContent>
-            </TooltipPortal>
-          </Tooltip>
-        </div>
-      </div>
-      <div className="flex flex-row items-center justify-between">
-        <div className="mb-2 text-sm text-muted-foreground">
-          {t("objectLifecycle.scrollViewTips")}
-        </div>
-        <div className="min-w-20 text-right text-sm text-muted-foreground">
-          {t("objectLifecycle.count", {
-            first: current + 1,
-            second: eventSequence.length,
-          })}
-        </div>
-      </div>
-      {config?.cameras[event.camera]?.onvif.autotracking.enabled_in_config && (
-        <div className="-mt-2 mb-2 text-sm text-danger">
-          {t("objectLifecycle.autoTrackingTips")}
-        </div>
-      )}
-      {showControls && (
-        <AnnotationSettingsPane
-          event={event}
-          showZones={showZones}
-          setShowZones={setShowZones}
-          annotationOffset={annotationOffset}
-          setAnnotationOffset={setAnnotationOffset}
-        />
-      )}
-
-      <div className="relative flex flex-col items-center justify-center">
-        <Carousel className="m-0 w-full" setApi={setMainApi}>
-          <CarouselContent>
-            {eventSequence.map((item, index) => (
-              <CarouselItem key={index}>
-                <Card className="p-1 text-sm md:p-2" key={index}>
-                  <CardContent className="flex flex-row items-center gap-3 p-1 md:p-2">
-                    <div className="flex flex-1 flex-row items-center justify-start p-3 pl-1">
-                      <div
-                        className="rounded-lg p-2"
-                        style={{
-                          backgroundColor: "rgb(110,110,110)",
-                        }}
-                      >
-                        <div
-                          key={item.data.label}
-                          className="relative flex aspect-square size-4 flex-row items-center md:size-8"
-                        >
-                          {getIconForLabel(
-                            item.data.label,
-                            "size-4 md:size-6 absolute left-0 top-0",
-                          )}
-                          <LifecycleIcon
-                            className="absolute bottom-0 right-0 size-2 md:size-4"
-                            lifecycleItem={item}
-                          />
-                        </div>
-                      </div>
-                      <div className="mx-3 text-lg">
-                        <div className="flex flex-row items-center text-primary smart-capitalize">
-                          {getLifecycleItemDescription(item)}
-                        </div>
-                        <div className="text-sm text-primary-variant">
-                          {formatUnixTimestampToDateTime(item.timestamp, {
-                            timezone: config.ui.timezone,
-                            date_format:
-                              config.ui.time_format == "24hour"
-                                ? t("time.formattedTimestamp2.24hour", {
-                                    ns: "common",
-                                  })
-                                : t("time.formattedTimestamp2.12hour", {
-                                    ns: "common",
-                                  }),
-                            time_style: "medium",
-                            date_style: "medium",
-                          })}
-                        </div>
-                      </div>
-                    </div>
-                    <div className="flex w-5/12 flex-row items-start justify-start">
-                      <div className="text-md mr-2 w-1/3">
-                        <div className="flex flex-col items-end justify-start">
-                          <p className="mb-1.5 text-sm text-primary-variant">
-                            {t(
-                              "objectLifecycle.lifecycleItemDesc.header.zones",
-                            )}
-                          </p>
-                          {item.class_type === "entered_zone"
-                            ? item.data.zones.map((zone, index) => (
-                                <div
-                                  key={index}
-                                  className="flex flex-row items-center gap-1"
-                                >
-                                  {true && (
-                                    <div
-                                      className="size-3 rounded-lg"
-                                      style={{
-                                        backgroundColor: `rgb(${getZoneColor(zone)})`,
-                                      }}
-                                    />
-                                  )}
-                                  <div
-                                    key={index}
-                                    className="cursor-pointer smart-capitalize"
-                                    onClick={() => setSelectedZone(zone)}
-                                  >
-                                    {zone.replaceAll("_", " ")}
-                                  </div>
-                                </div>
-                              ))
-                            : "-"}
-                        </div>
-                      </div>
-                      <div className="text-md mr-2 w-1/3">
-                        <div className="flex flex-col items-end justify-start">
-                          <p className="mb-1.5 text-sm text-primary-variant">
-                            {t(
-                              "objectLifecycle.lifecycleItemDesc.header.ratio",
-                            )}
-                          </p>
-                          {Array.isArray(item.data.box) &&
-                          item.data.box.length >= 4
-                            ? (
-                                aspectRatio *
-                                (item.data.box[2] / item.data.box[3])
-                              ).toFixed(2)
-                            : "N/A"}
-                        </div>
-                      </div>
-                      <div className="text-md mr-2 w-1/3">
-                        <div className="flex flex-col items-end justify-start">
-                          <p className="mb-1.5 text-sm text-primary-variant">
-                            {t("objectLifecycle.lifecycleItemDesc.header.area")}
-                          </p>
-                          {Array.isArray(item.data.box) &&
-                          item.data.box.length >= 4 ? (
-                            <>
-                              <div className="flex flex-col text-xs">
-                                px:{" "}
-                                {Math.round(
-                                  detectArea *
-                                    (item.data.box[2] * item.data.box[3]),
-                                )}
-                              </div>
-                              <div className="flex flex-col text-xs">
-                                %:{" "}
-                                {(
-                                  (detectArea *
-                                    (item.data.box[2] * item.data.box[3])) /
-                                  detectArea
-                                ).toFixed(4)}
-                              </div>
-                            </>
-                          ) : (
-                            "N/A"
-                          )}
-                        </div>
-                      </div>
-                    </div>
-                  </CardContent>
-                </Card>
-              </CarouselItem>
-            ))}
-          </CarouselContent>
-        </Carousel>
-      </div>
-      <div className="relative mt-4 flex flex-col items-center justify-center">
-        <Carousel
-          opts={{
-            align: "center",
-            containScroll: "keepSnaps",
-            dragFree: true,
-          }}
-          className="max-w-[72%] md:max-w-[85%]"
-          setApi={setThumbnailApi}
-        >
-          <CarouselContent
-            className={cn(
-              "-ml-1 flex select-none flex-row",
-              eventSequence.length > 4 ? "justify-start" : "justify-center",
-            )}
-          >
-            {eventSequence.map((item, index) => (
-              <CarouselItem
-                key={index}
-                className={cn("basis-auto cursor-pointer pl-1")}
-                onClick={() => handleThumbnailClick(index)}
-              >
-                <div className="p-1">
-                  <Card>
-                    <CardContent
-                      className={cn(
-                        "flex aspect-square items-center justify-center rounded-md p-2",
-                        index === current && "bg-selected",
-                      )}
-                    >
-                      <Tooltip>
-                        <TooltipTrigger>
-                          <LifecycleIcon
-                            className={cn(
-                              "size-8",
-                              index === current
-                                ? "bg-selected text-white"
-                                : "text-muted-foreground",
-                            )}
-                            lifecycleItem={item}
-                          />
-                        </TooltipTrigger>
-                        <TooltipPortal>
-                          <TooltipContent className="smart-capitalize">
-                            {getLifecycleItemDescription(item)}
-                          </TooltipContent>
-                        </TooltipPortal>
-                      </Tooltip>
-                    </CardContent>
-                  </Card>
-                </div>
-              </CarouselItem>
-            ))}
-          </CarouselContent>
-          <CarouselPrevious
-            disabled={current === 0}
-            onClick={() => handleThumbnailNavigation("previous")}
-          />
-          <CarouselNext
-            disabled={current === eventSequence.length - 1}
-            onClick={() => handleThumbnailNavigation("next")}
-          />
-        </Carousel>
-      </div>
-    </div>
-  );
-}
-
-type GetTimelineIconParams = {
-  lifecycleItem: ObjectLifecycleSequence;
-  className?: string;
-};
-
-export function LifecycleIcon({
-  lifecycleItem,
-  className,
-}: GetTimelineIconParams) {
-  switch (lifecycleItem.class_type) {
-    case "visible":
-      return <LuPlay className={cn(className)} />;
-    case "gone":
-      return <IoMdExit className={cn(className)} />;
-    case "active":
-      return <IoPlayCircleOutline className={cn(className)} />;
-    case "stationary":
-      return <LuCircle className={cn(className)} />;
-    case "entered_zone":
-      return <MdOutlineLocationOn className={cn(className)} />;
-    case "attribute":
-      switch (lifecycleItem.data?.attribute) {
-        case "face":
-          return <MdFaceUnlock className={cn(className)} />;
-        case "license_plate":
-          return <MdOutlinePictureInPictureAlt className={cn(className)} />;
-        default:
-          return <LuTruck className={cn(className)} />;
-      }
-    case "heard":
-      return <LuEar className={cn(className)} />;
-    case "external":
-      return <LuCircleDot className={cn(className)} />;
-    default:
-      return null;
-  }
-}
diff --git a/web/src/components/overlay/detail/ObjectPath.tsx b/web/src/components/overlay/detail/ObjectPath.tsx
index 0101a71f1..201a4d9b3 100644
--- a/web/src/components/overlay/detail/ObjectPath.tsx
+++ b/web/src/components/overlay/detail/ObjectPath.tsx
@@ -8,6 +8,9 @@ import {
 import { TooltipPortal } from "@radix-ui/react-tooltip";
 import { getLifecycleItemDescription } from "@/utils/lifecycleUtil";
 import { useTranslation } from "react-i18next";
+import { resolveZoneName } from "@/hooks/use-zone-friendly-name";
+import { FrigateConfig } from "@/types/frigateConfig";
+import useSWR from "swr";
 
 type ObjectPathProps = {
   positions?: Position[];
@@ -42,16 +45,31 @@ export function ObjectPath({
   visible = true,
 }: ObjectPathProps) {
   const { t } = useTranslation(["views/explore"]);
+  const { data: config } = useSWR<FrigateConfig>("config");
   const getAbsolutePositions = useCallback(() => {
     if (!imgRef.current || !positions) return [];
     const imgRect = imgRef.current.getBoundingClientRect();
-    return positions.map((pos) => ({
-      x: pos.x * imgRect.width,
-      y: pos.y * imgRect.height,
-      timestamp: pos.timestamp,
-      lifecycle_item: pos.lifecycle_item,
-    }));
-  }, [positions, imgRef]);
+    return positions.map((pos) => {
+      return {
+        x: pos.x * imgRect.width,
+        y: pos.y * imgRect.height,
+        timestamp: pos.timestamp,
+        lifecycle_item: pos.lifecycle_item?.data?.zones
+          ? {
+              ...pos.lifecycle_item,
+              data: {
+                ...pos.lifecycle_item?.data,
+                zones_friendly_names: pos.lifecycle_item?.data.zones.map(
+                  (zone) => {
+                    return resolveZoneName(config, zone);
+                  },
+                ),
+              },
+            }
+          : pos.lifecycle_item,
+      };
+    });
+  }, [imgRef, positions, config]);
 
   const generateStraightPath = useCallback((points: Position[]) => {
     if (!points || points.length < 2) return "";
@@ -105,7 +123,7 @@ export function ObjectPath({
             <TooltipContent side="top" className="smart-capitalize">
               {pos.lifecycle_item
                 ? getLifecycleItemDescription(pos.lifecycle_item)
-                : t("objectLifecycle.trackedPoint")}
+                : t("trackingDetails.trackedPoint")}
             </TooltipContent>
           </TooltipPortal>
         </Tooltip>
diff --git a/web/src/components/overlay/detail/ReviewDetailDialog.tsx b/web/src/components/overlay/detail/ReviewDetailDialog.tsx
deleted file mode 100644
index f796f03f5..000000000
--- a/web/src/components/overlay/detail/ReviewDetailDialog.tsx
+++ /dev/null
@@ -1,577 +0,0 @@
-import { isDesktop, isIOS, isMobile } from "react-device-detect";
-import {
-  Sheet,
-  SheetContent,
-  SheetDescription,
-  SheetHeader,
-  SheetTitle,
-} from "../../ui/sheet";
-import useSWR from "swr";
-import { FrigateConfig } from "@/types/frigateConfig";
-import { useFormattedTimestamp } from "@/hooks/use-date-utils";
-import { getIconForLabel } from "@/utils/iconUtil";
-import { useApiHost } from "@/api";
-import {
-  ReviewDetailPaneType,
-  ReviewSegment,
-  ThreatLevel,
-} from "@/types/review";
-import { Event } from "@/types/event";
-import { useCallback, useEffect, useMemo, useRef, useState } from "react";
-import { cn } from "@/lib/utils";
-import { FrigatePlusDialog } from "../dialog/FrigatePlusDialog";
-import ObjectLifecycle from "./ObjectLifecycle";
-import Chip from "@/components/indicators/Chip";
-import { FaDownload, FaImages, FaShareAlt } from "react-icons/fa";
-import FrigatePlusIcon from "@/components/icons/FrigatePlusIcon";
-import { FaArrowsRotate } from "react-icons/fa6";
-import {
-  Tooltip,
-  TooltipContent,
-  TooltipTrigger,
-} from "@/components/ui/tooltip";
-import { useNavigate } from "react-router-dom";
-import { Button } from "@/components/ui/button";
-import { baseUrl } from "@/api/baseUrl";
-import { shareOrCopy } from "@/utils/browserUtil";
-import {
-  MobilePage,
-  MobilePageContent,
-  MobilePageDescription,
-  MobilePageHeader,
-  MobilePageTitle,
-} from "@/components/mobile/MobilePage";
-import { DownloadVideoButton } from "@/components/button/DownloadVideoButton";
-import { TooltipPortal } from "@radix-ui/react-tooltip";
-import { LuSearch } from "react-icons/lu";
-import useKeyboardListener from "@/hooks/use-keyboard-listener";
-import { Trans, useTranslation } from "react-i18next";
-import { getTranslatedLabel } from "@/utils/i18n";
-import { CameraNameLabel } from "@/components/camera/CameraNameLabel";
-
-type ReviewDetailDialogProps = {
-  review?: ReviewSegment;
-  setReview: (review: ReviewSegment | undefined) => void;
-};
-export default function ReviewDetailDialog({
-  review,
-  setReview,
-}: ReviewDetailDialogProps) {
-  const { t } = useTranslation(["views/explore"]);
-  const { data: config } = useSWR<FrigateConfig>("config", {
-    revalidateOnFocus: false,
-  });
-
-  const navigate = useNavigate();
-
-  // upload
-
-  const [upload, setUpload] = useState<Event>();
-
-  // data
-
-  const { data: events } = useSWR<Event[]>(
-    review ? ["event_ids", { ids: review.data.detections.join(",") }] : null,
-  );
-
-  const aiAnalysis = useMemo(() => review?.data?.metadata, [review]);
-
-  const aiThreatLevel = useMemo(() => {
-    if (
-      !aiAnalysis ||
-      (!aiAnalysis.potential_threat_level && !aiAnalysis.other_concerns)
-    ) {
-      return "None";
-    }
-
-    let concerns = "";
-    switch (aiAnalysis.potential_threat_level) {
-      case ThreatLevel.SUSPICIOUS:
-        concerns = `• ${t("suspiciousActivity", { ns: "views/events" })}\n`;
-        break;
-      case ThreatLevel.DANGER:
-        concerns = `• ${t("threateningActivity", { ns: "views/events" })}\n`;
-        break;
-    }
-
-    (aiAnalysis.other_concerns ?? []).forEach((c) => {
-      concerns += `• ${c}\n`;
-    });
-
-    return concerns || "None";
-  }, [aiAnalysis, t]);
-
-  const hasMismatch = useMemo(() => {
-    if (!review || !events) {
-      return false;
-    }
-
-    return events.length != review?.data.detections.length;
-  }, [review, events]);
-
-  const missingObjects = useMemo(() => {
-    if (!review || !events) {
-      return [];
-    }
-
-    const detectedIds = review.data.detections;
-    const missing = Array.from(
-      new Set(
-        events
-          .filter((event) => !detectedIds.includes(event.id))
-          .map((event) => event.label),
-      ),
-    );
-
-    return missing;
-  }, [review, events]);
-
-  const formattedDate = useFormattedTimestamp(
-    review?.start_time ?? 0,
-    config?.ui.time_format == "24hour"
-      ? t("time.formattedTimestampMonthDayYearHourMinute.24hour", {
-          ns: "common",
-        })
-      : t("time.formattedTimestampMonthDayYearHourMinute.12hour", {
-          ns: "common",
-        }),
-    config?.ui.timezone,
-  );
-
-  // content
-
-  const [selectedEvent, setSelectedEvent] = useState<Event>();
-  const [pane, setPane] = useState<ReviewDetailPaneType>("overview");
-
-  // dialog and mobile page
-
-  const [isOpen, setIsOpen] = useState(review != undefined);
-
-  const handleOpenChange = useCallback(
-    (open: boolean) => {
-      setIsOpen(open);
-      if (!open) {
-        // short timeout to allow the mobile page animation
-        // to complete before updating the state
-        setTimeout(() => {
-          setReview(undefined);
-          setSelectedEvent(undefined);
-          setPane("overview");
-        }, 300);
-      }
-    },
-    [setReview, setIsOpen],
-  );
-
-  useEffect(() => {
-    setIsOpen(review != undefined);
-    // we know that these deps are correct
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [review]);
-
-  // keyboard listener
-
-  useKeyboardListener(["Esc"], (key, modifiers) => {
-    if (key == "Esc" && modifiers.down && !modifiers.repeat) {
-      setIsOpen(false);
-    }
-
-    return true;
-  });
-
-  const Overlay = isDesktop ? Sheet : MobilePage;
-  const Content = isDesktop ? SheetContent : MobilePageContent;
-  const Header = isDesktop ? SheetHeader : MobilePageHeader;
-  const Title = isDesktop ? SheetTitle : MobilePageTitle;
-  const Description = isDesktop ? SheetDescription : MobilePageDescription;
-
-  if (!review) {
-    return;
-  }
-
-  return (
-    <>
-      <Overlay
-        open={isOpen ?? false}
-        onOpenChange={handleOpenChange}
-        enableHistoryBack={true}
-      >
-        <FrigatePlusDialog
-          upload={upload}
-          onClose={() => setUpload(undefined)}
-          onEventUploaded={() => {
-            if (upload) {
-              upload.plus_id = "new_upload";
-            }
-          }}
-        />
-
-        <Content
-          className={cn(
-            "scrollbar-container overflow-y-auto",
-            isDesktop && pane == "overview"
-              ? "sm:max-w-xl"
-              : "pt-2 sm:max-w-4xl",
-            isMobile && "px-4",
-          )}
-        >
-          <span tabIndex={0} className="sr-only" />
-          {pane == "overview" && (
-            <Header className="justify-center">
-              <Title>{t("details.item.title")}</Title>
-              <Description className="sr-only">
-                {t("details.item.desc")}
-              </Description>
-              <div
-                className={cn(
-                  "absolute flex gap-2 lg:flex-col",
-                  isDesktop && "right-1 top-8",
-                  isMobile && "right-0 top-3",
-                )}
-              >
-                <Tooltip>
-                  <TooltipTrigger asChild>
-                    <Button
-                      aria-label={t("details.item.button.share")}
-                      size="sm"
-                      onClick={() =>
-                        shareOrCopy(`${baseUrl}review?id=${review.id}`)
-                      }
-                    >
-                      <FaShareAlt className="size-4 text-secondary-foreground" />
-                    </Button>
-                  </TooltipTrigger>
-                  <TooltipPortal>
-                    <TooltipContent>
-                      {t("details.item.button.share")}
-                    </TooltipContent>
-                  </TooltipPortal>
-                </Tooltip>
-                <Tooltip>
-                  <TooltipTrigger>
-                    <DownloadVideoButton
-                      source={`${baseUrl}api/${review.camera}/start/${review.start_time}/end/${review.end_time || Date.now() / 1000}/clip.mp4`}
-                      camera={review.camera}
-                      startTime={review.start_time}
-                    />
-                  </TooltipTrigger>
-                  <TooltipPortal>
-                    <TooltipContent>
-                      {t("button.download", { ns: "common" })}
-                    </TooltipContent>
-                  </TooltipPortal>
-                </Tooltip>
-              </div>
-            </Header>
-          )}
-          {pane == "overview" && (
-            <div className="flex flex-col gap-5 md:mt-3">
-              {aiAnalysis != undefined && (
-                <div
-                  className={cn(
-                    "flex h-full w-full flex-col gap-2 rounded-md bg-card p-2",
-                    isDesktop && "m-2 w-[90%]",
-                  )}
-                >
-                  {t("aiAnalysis.title")}
-                  <div className="text-sm text-primary/40">
-                    {t("details.description.label")}
-                  </div>
-                  <div className="text-sm">{aiAnalysis.scene}</div>
-                  <div className="text-sm text-primary/40">
-                    {t("details.score.label")}
-                  </div>
-                  <div className="text-sm">{aiAnalysis.confidence * 100}%</div>
-                  <div className="text-sm text-primary/40">
-                    {t("concerns.label")}
-                  </div>
-                  <div className="text-sm">{aiThreatLevel}</div>
-                </div>
-              )}
-              <div className="flex w-full flex-row">
-                <div className="flex w-full flex-col gap-3">
-                  <div className="flex flex-col gap-1.5">
-                    <div className="text-sm text-primary/40">
-                      {t("details.camera")}
-                    </div>
-                    <div className="text-sm smart-capitalize">
-                      <CameraNameLabel camera={review.camera} />
-                    </div>
-                  </div>
-                  <div className="flex flex-col gap-1.5">
-                    <div className="text-sm text-primary/40">
-                      {t("details.timestamp")}
-                    </div>
-                    <div className="text-sm">{formattedDate}</div>
-                  </div>
-                </div>
-                <div className="flex w-full flex-col items-center gap-2">
-                  <div className="flex w-full flex-col gap-1.5 lg:pr-8">
-                    <div className="text-sm text-primary/40">
-                      {t("details.objects")}
-                    </div>
-                    <div className="scrollbar-container flex max-h-32 flex-col items-start gap-2 overflow-y-auto text-sm smart-capitalize">
-                      {events?.map((event) => {
-                        return (
-                          <div
-                            key={event.id}
-                            className="flex flex-row items-center gap-2 smart-capitalize"
-                          >
-                            {getIconForLabel(
-                              event.label,
-                              "size-3 text-primary",
-                            )}
-                            {event.sub_label ??
-                              event.label.replaceAll("_", " ")}{" "}
-                            ({Math.round(event.data.top_score * 100)}%)
-                            <Tooltip>
-                              <TooltipTrigger>
-                                <div
-                                  className="cursor-pointer"
-                                  onClick={() => {
-                                    navigate(`/explore?event_id=${event.id}`);
-                                  }}
-                                >
-                                  <LuSearch className="size-4 text-muted-foreground" />
-                                </div>
-                              </TooltipTrigger>
-                              <TooltipPortal>
-                                <TooltipContent>
-                                  {t("details.item.button.viewInExplore")}
-                                </TooltipContent>
-                              </TooltipPortal>
-                            </Tooltip>
-                          </div>
-                        );
-                      })}
-                    </div>
-                  </div>
-                  {review.data.zones.length > 0 && (
-                    <div className="scrollbar-container flex max-h-32 w-full flex-col gap-1.5">
-                      <div className="text-sm text-primary/40">
-                        {t("details.zones")}
-                      </div>
-                      <div className="flex flex-col items-start gap-2 text-sm smart-capitalize">
-                        {review.data.zones.map((zone) => {
-                          return (
-                            <div
-                              key={zone}
-                              className="flex flex-row items-center gap-2 smart-capitalize"
-                            >
-                              {zone.replaceAll("_", " ")}
-                            </div>
-                          );
-                        })}
-                      </div>
-                    </div>
-                  )}
-                </div>
-              </div>
-              {hasMismatch && (
-                <div className="p-4 text-center text-sm">
-                  {(() => {
-                    const detectedCount = Math.abs(
-                      (events?.length ?? 0) -
-                        (review?.data.detections.length ?? 0),
-                    );
-
-                    return t("details.item.tips.mismatch", {
-                      count: detectedCount,
-                    });
-                  })()}
-                  {missingObjects.length > 0 && (
-                    <div className="mt-2">
-                      <Trans
-                        ns="views/explore"
-                        values={{
-                          objects: missingObjects
-                            .map((x) => getTranslatedLabel(x))
-                            .join(", "),
-                        }}
-                      >
-                        details.item.tips.hasMissingObjects
-                      </Trans>
-                    </div>
-                  )}
-                </div>
-              )}
-              <div className="relative flex size-full flex-col gap-2">
-                {events?.map((event) => (
-                  <EventItem
-                    key={event.id}
-                    event={event}
-                    setPane={setPane}
-                    setSelectedEvent={setSelectedEvent}
-                    setUpload={setUpload}
-                  />
-                ))}
-              </div>
-            </div>
-          )}
-
-          {pane == "details" && selectedEvent && (
-            <div className="mt-0 flex size-full flex-col gap-2">
-              <ObjectLifecycle event={selectedEvent} setPane={setPane} />
-            </div>
-          )}
-        </Content>
-      </Overlay>
-    </>
-  );
-}
-
-type EventItemProps = {
-  event: Event;
-  setPane: React.Dispatch<React.SetStateAction<ReviewDetailPaneType>>;
-  setSelectedEvent: React.Dispatch<React.SetStateAction<Event | undefined>>;
-  setUpload?: React.Dispatch<React.SetStateAction<Event | undefined>>;
-};
-
-function EventItem({
-  event,
-  setPane,
-  setSelectedEvent,
-  setUpload,
-}: EventItemProps) {
-  const { t } = useTranslation(["views/explore"]);
-
-  const { data: config } = useSWR<FrigateConfig>("config", {
-    revalidateOnFocus: false,
-  });
-
-  const apiHost = useApiHost();
-
-  const imgRef = useRef(null);
-
-  const [hovered, setHovered] = useState(isMobile);
-
-  const navigate = useNavigate();
-
-  return (
-    <>
-      <div
-        className={cn(
-          "relative mr-auto",
-          !event.has_snapshot && "flex flex-row items-center justify-center",
-        )}
-        onMouseEnter={isDesktop ? () => setHovered(true) : undefined}
-        onMouseLeave={isDesktop ? () => setHovered(false) : undefined}
-        key={event.id}
-      >
-        {event.has_snapshot && (
-          <>
-            <div className="pointer-events-none absolute inset-x-0 top-0 h-[30%] w-full rounded-lg bg-gradient-to-b from-black/20 to-transparent md:rounded-2xl"></div>
-            <div className="pointer-events-none absolute inset-x-0 bottom-0 z-10 h-[10%] w-full rounded-lg bg-gradient-to-t from-black/20 to-transparent md:rounded-2xl"></div>
-          </>
-        )}
-        <img
-          ref={imgRef}
-          className={cn(
-            "select-none rounded-lg object-contain transition-opacity",
-          )}
-          style={
-            isIOS
-              ? {
-                  WebkitUserSelect: "none",
-                  WebkitTouchCallout: "none",
-                }
-              : undefined
-          }
-          draggable={false}
-          src={
-            event.has_snapshot
-              ? `${apiHost}api/events/${event.id}/snapshot.jpg`
-              : `${apiHost}api/events/${event.id}/thumbnail.webp`
-          }
-        />
-        {hovered && (
-          <div>
-            <div
-              className={cn("absolute right-1 top-1 flex items-center gap-2")}
-            >
-              <Tooltip>
-                <TooltipTrigger asChild>
-                  <a
-                    download
-                    href={
-                      event.has_snapshot
-                        ? `${apiHost}api/events/${event.id}/snapshot.jpg`
-                        : `${apiHost}api/events/${event.id}/thumbnail.webp`
-                    }
-                  >
-                    <Chip className="cursor-pointer rounded-md bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500">
-                      <FaDownload className="size-4 text-white" />
-                    </Chip>
-                  </a>
-                </TooltipTrigger>
-                <TooltipContent>
-                  {t("button.download", { ns: "common" })}
-                </TooltipContent>
-              </Tooltip>
-
-              {event.has_snapshot &&
-                event.plus_id == undefined &&
-                event.data.type == "object" &&
-                config?.plus.enabled && (
-                  <Tooltip>
-                    <TooltipTrigger>
-                      <Chip
-                        className="cursor-pointer rounded-md bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500"
-                        onClick={() => {
-                          setUpload?.(event);
-                        }}
-                      >
-                        <FrigatePlusIcon className="size-4 text-white" />
-                      </Chip>
-                    </TooltipTrigger>
-                    <TooltipContent>
-                      {t("itemMenu.submitToPlus.label")}
-                    </TooltipContent>
-                  </Tooltip>
-                )}
-
-              {event.has_clip && (
-                <Tooltip>
-                  <TooltipTrigger>
-                    <Chip
-                      className="cursor-pointer rounded-md bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500"
-                      onClick={() => {
-                        setPane("details");
-                        setSelectedEvent(event);
-                      }}
-                    >
-                      <FaArrowsRotate className="size-4 text-white" />
-                    </Chip>
-                  </TooltipTrigger>
-                  <TooltipContent>
-                    {t("itemMenu.viewObjectLifecycle.label")}
-                  </TooltipContent>
-                </Tooltip>
-              )}
-
-              {event.has_snapshot && config?.semantic_search.enabled && (
-                <Tooltip>
-                  <TooltipTrigger>
-                    <Chip
-                      className="cursor-pointer rounded-md bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500"
-                      onClick={() => {
-                        navigate(
-                          `/explore?search_type=similarity&event_id=${event.id}`,
-                        );
-                      }}
-                    >
-                      <FaImages className="size-4 text-white" />
-                    </Chip>
-                  </TooltipTrigger>
-                  <TooltipContent>
-                    {t("itemMenu.findSimilar.label")}
-                  </TooltipContent>
-                </Tooltip>
-              )}
-            </div>
-          </div>
-        )}
-      </div>
-    </>
-  );
-}
diff --git a/web/src/components/overlay/detail/SearchDetailDialog.tsx b/web/src/components/overlay/detail/SearchDetailDialog.tsx
index 3a016588a..01e211eec 100644
--- a/web/src/components/overlay/detail/SearchDetailDialog.tsx
+++ b/web/src/components/overlay/detail/SearchDetailDialog.tsx
@@ -6,7 +6,14 @@ import { useFormattedTimestamp } from "@/hooks/use-date-utils";
 import { getIconForLabel } from "@/utils/iconUtil";
 import { useApiHost } from "@/api";
 import { Button } from "../../ui/button";
-import { useCallback, useEffect, useMemo, useState } from "react";
+import {
+  useCallback,
+  useEffect,
+  useLayoutEffect,
+  useMemo,
+  useRef,
+  useState,
+} from "react";
 import axios from "axios";
 import { toast } from "sonner";
 import { Textarea } from "../../ui/textarea";
@@ -27,15 +34,15 @@ import ActivityIndicator from "@/components/indicators/activity-indicator";
 import {
   FaArrowRight,
   FaCheckCircle,
-  FaChevronDown,
-  FaDownload,
-  FaHistory,
-  FaImage,
-  FaRegListAlt,
-  FaVideo,
+  FaChevronLeft,
+  FaChevronRight,
+  FaMicrophone,
+  FaCheck,
+  FaTimes,
 } from "react-icons/fa";
-import { FaRotate } from "react-icons/fa6";
-import ObjectLifecycle from "./ObjectLifecycle";
+import { TrackingDetails } from "./TrackingDetails";
+import { AnnotationSettingsPane } from "./AnnotationSettingsPane";
+import { DetailStreamProvider } from "@/context/detail-stream-context";
 import {
   MobilePage,
   MobilePageContent,
@@ -48,11 +55,10 @@ import {
   TooltipContent,
   TooltipTrigger,
 } from "@/components/ui/tooltip";
-import { REVIEW_PADDING, ReviewSegment } from "@/types/review";
-import { useNavigate } from "react-router-dom";
-import Chip from "@/components/indicators/Chip";
+import { REVIEW_PADDING } from "@/types/review";
 import { capitalizeAll } from "@/utils/stringUtil";
 import useGlobalMutation from "@/hooks/use-global-mutate";
+import DetailActionsMenu from "./DetailActionsMenu";
 import {
   DropdownMenu,
   DropdownMenuContent,
@@ -60,7 +66,6 @@ import {
   DropdownMenuTrigger,
 } from "@/components/ui/dropdown-menu";
 import { TransformComponent, TransformWrapper } from "react-zoom-pan-pinch";
-import { Card, CardContent } from "@/components/ui/card";
 import useImageLoaded from "@/hooks/use-image-loaded";
 import ImageLoadingIndicator from "@/components/indicators/ImageLoadingIndicator";
 import { GenericVideoPlayer } from "@/components/player/GenericVideoPlayer";
@@ -69,26 +74,357 @@ import {
   PopoverContent,
   PopoverTrigger,
 } from "@/components/ui/popover";
-import { LuInfo, LuSearch } from "react-icons/lu";
+import {
+  Drawer,
+  DrawerContent,
+  DrawerTitle,
+  DrawerTrigger,
+} from "@/components/ui/drawer";
+import { LuInfo } from "react-icons/lu";
 import { TooltipPortal } from "@radix-ui/react-tooltip";
 import { FaPencilAlt } from "react-icons/fa";
 import TextEntryDialog from "@/components/overlay/dialog/TextEntryDialog";
+import AttributeSelectDialog from "@/components/overlay/dialog/AttributeSelectDialog";
 import { Trans, useTranslation } from "react-i18next";
-import { TbFaceId } from "react-icons/tb";
 import { useIsAdmin } from "@/hooks/use-is-admin";
-import FaceSelectionDialog from "../FaceSelectionDialog";
 import { getTranslatedLabel } from "@/utils/i18n";
-import { CgTranscript } from "react-icons/cg";
-import { CameraNameLabel } from "@/components/camera/CameraNameLabel";
+import { CameraNameLabel } from "@/components/camera/FriendlyNameLabel";
+import { DialogPortal } from "@radix-ui/react-dialog";
+import { useDetailStream } from "@/context/detail-stream-context";
+import { PiSlidersHorizontalBold } from "react-icons/pi";
+import { HiSparkles } from "react-icons/hi";
+import { useAudioTranscriptionProcessState } from "@/api/ws";
 
-const SEARCH_TABS = [
-  "details",
-  "snapshot",
-  "video",
-  "object_lifecycle",
-] as const;
+const SEARCH_TABS = ["snapshot", "tracking_details"] as const;
 export type SearchTab = (typeof SEARCH_TABS)[number];
 
+type TabsWithActionsProps = {
+  search: SearchResult;
+  searchTabs: SearchTab[];
+  pageToggle: SearchTab;
+  setPageToggle: (v: SearchTab) => void;
+  config?: FrigateConfig;
+  setSearch: (s: SearchResult | undefined) => void;
+  setSimilarity?: () => void;
+  isPopoverOpen: boolean;
+  setIsPopoverOpen: (open: boolean) => void;
+  dialogContainer: HTMLDivElement | null;
+};
+
+function TabsWithActions({
+  search,
+  searchTabs,
+  pageToggle,
+  setPageToggle,
+  config,
+  setSearch,
+  setSimilarity,
+  isPopoverOpen,
+  setIsPopoverOpen,
+  dialogContainer,
+}: TabsWithActionsProps) {
+  const { t } = useTranslation(["views/explore", "views/faceLibrary"]);
+
+  useEffect(() => {
+    if (pageToggle !== "tracking_details" && isPopoverOpen) {
+      setIsPopoverOpen(false);
+    }
+  }, [pageToggle, isPopoverOpen, setIsPopoverOpen]);
+
+  if (!search) return null;
+
+  return (
+    <div className="flex items-center justify-between gap-1">
+      <ScrollArea className="flex-1 whitespace-nowrap">
+        <div className="mb-2 flex flex-row">
+          <ToggleGroup
+            className="*:rounded-md *:px-3 *:py-4"
+            type="single"
+            size="sm"
+            value={pageToggle}
+            onValueChange={(value: SearchTab) => {
+              if (value) {
+                setPageToggle(value);
+              }
+            }}
+          >
+            {Object.values(searchTabs).map((item) => (
+              <ToggleGroupItem
+                key={item}
+                className="flex scroll-mx-10 items-center justify-between gap-2 text-muted-foreground"
+                value={item}
+                data-nav-item={item}
+                aria-label={`Select ${item}`}
+              >
+                <div className="smart-capitalize">
+                  {item === "snapshot"
+                    ? search?.has_snapshot
+                      ? t("type.snapshot")
+                      : t("type.thumbnail")
+                    : t(`type.${item}`)}
+                </div>
+              </ToggleGroupItem>
+            ))}
+          </ToggleGroup>
+          <ScrollBar orientation="horizontal" className="h-0" />
+        </div>
+      </ScrollArea>
+      <DetailActionsMenu
+        search={search}
+        config={config}
+        setSearch={setSearch}
+        setSimilarity={setSimilarity}
+      />
+      {pageToggle === "tracking_details" && (
+        <AnnotationSettings
+          search={search}
+          open={isPopoverOpen}
+          setIsOpen={setIsPopoverOpen}
+          container={dialogContainer}
+        />
+      )}
+    </div>
+  );
+}
+
+type AnnotationSettingsProps = {
+  search: SearchResult;
+  open: boolean;
+  setIsOpen: (open: boolean) => void;
+  container?: HTMLElement | null;
+};
+
+function AnnotationSettings({
+  search,
+  open,
+  setIsOpen,
+  container,
+}: AnnotationSettingsProps) {
+  const { t } = useTranslation(["views/explore"]);
+  const { annotationOffset, setAnnotationOffset } = useDetailStream();
+
+  const ignoreNextOpenRef = useRef(false);
+
+  useEffect(() => {
+    setIsOpen(false);
+    ignoreNextOpenRef.current = false;
+  }, [search, setIsOpen]);
+
+  const handleOpenChange = useCallback(
+    (nextOpen: boolean) => {
+      if (nextOpen) {
+        if (ignoreNextOpenRef.current) {
+          ignoreNextOpenRef.current = false;
+          return;
+        }
+        setIsOpen(true);
+      } else {
+        setIsOpen(false);
+      }
+    },
+    [setIsOpen],
+  );
+
+  const registerTriggerCloseIntent = useCallback(() => {
+    if (open) {
+      ignoreNextOpenRef.current = true;
+    }
+  }, [open]);
+
+  const Overlay = isDesktop ? Popover : Drawer;
+  const Trigger = isDesktop ? PopoverTrigger : DrawerTrigger;
+  const Content = isDesktop ? PopoverContent : DrawerContent;
+  const Title = isDesktop ? "div" : DrawerTitle;
+  const contentProps = isDesktop
+    ? { align: "end" as const, container: container ?? undefined }
+    : {};
+
+  return (
+    <div className="ml-2">
+      <Overlay modal={isDesktop} open={open} onOpenChange={handleOpenChange}>
+        <Trigger asChild>
+          <Button
+            type="button"
+            className="size-7 p-1.5"
+            variant={open ? "select" : "ghost"}
+            aria-label={t("trackingDetails.adjustAnnotationSettings")}
+            aria-expanded={open}
+            onPointerDown={registerTriggerCloseIntent}
+            onKeyDown={(event) => {
+              if (open && (event.key === "Enter" || event.key === " ")) {
+                registerTriggerCloseIntent();
+              }
+            }}
+          >
+            <PiSlidersHorizontalBold className="size-5" />
+          </Button>
+        </Trigger>
+        <Title className="sr-only">
+          {t("trackingDetails.adjustAnnotationSettings")}
+        </Title>
+        <Content
+          className={
+            isDesktop
+              ? "w-[90vw] max-w-md bg-background_alt p-0"
+              : "mx-1 max-h-[75dvh] overflow-hidden rounded-t-2xl px-4 pb-4"
+          }
+          {...contentProps}
+          {...(isDesktop ? { disablePortal: true } : {})}
+          data-annotation-popover
+        >
+          <AnnotationSettingsPane
+            event={search as unknown as Event}
+            annotationOffset={annotationOffset}
+            setAnnotationOffset={setAnnotationOffset}
+          />
+        </Content>
+      </Overlay>
+    </div>
+  );
+}
+
+type DialogContentComponentProps = {
+  page: SearchTab;
+  search: SearchResult;
+  isDesktop: boolean;
+  apiHost: string;
+  config?: FrigateConfig;
+  searchTabs: SearchTab[];
+  pageToggle: SearchTab;
+  setPageToggle: (v: SearchTab) => void;
+  setSearch: (s: SearchResult | undefined) => void;
+  setInputFocused: React.Dispatch<React.SetStateAction<boolean>>;
+  setSimilarity?: () => void;
+  isPopoverOpen: boolean;
+  setIsPopoverOpen: (open: boolean) => void;
+  dialogContainer: HTMLDivElement | null;
+  setShowNavigationButtons: React.Dispatch<React.SetStateAction<boolean>>;
+};
+
+function DialogContentComponent({
+  page,
+  search,
+  isDesktop,
+  apiHost,
+  config,
+  searchTabs,
+  pageToggle,
+  setPageToggle,
+  setSearch,
+  setInputFocused,
+  setSimilarity,
+  isPopoverOpen,
+  setIsPopoverOpen,
+  dialogContainer,
+  setShowNavigationButtons,
+}: DialogContentComponentProps) {
+  if (page === "tracking_details") {
+    return (
+      <TrackingDetails
+        className={cn(isDesktop ? "size-full" : "flex flex-col gap-4")}
+        event={search as unknown as Event}
+        tabs={
+          isDesktop ? (
+            <TabsWithActions
+              search={search}
+              searchTabs={searchTabs}
+              pageToggle={pageToggle}
+              setPageToggle={setPageToggle}
+              config={config}
+              setSearch={setSearch}
+              setSimilarity={setSimilarity}
+              isPopoverOpen={isPopoverOpen}
+              setIsPopoverOpen={setIsPopoverOpen}
+              dialogContainer={dialogContainer}
+            />
+          ) : undefined
+        }
+      />
+    );
+  }
+
+  // Snapshot page content
+  const snapshotElement = search.has_snapshot ? (
+    <ObjectSnapshotTab
+      className={isDesktop ? undefined : "mb-4"}
+      search={
+        {
+          ...search,
+          plus_id: config?.plus?.enabled ? search.plus_id : "not_enabled",
+        } as unknown as Event
+      }
+    />
+  ) : (
+    <div
+      className={cn(
+        "max-w-lg",
+        !isDesktop ? "mb-4 w-full" : "mx-auto size-full",
+      )}
+    >
+      <img
+        className="w-full select-none rounded-lg object-contain transition-opacity"
+        style={
+          isIOS
+            ? {
+                WebkitUserSelect: "none",
+                WebkitTouchCallout: "none",
+              }
+            : undefined
+        }
+        draggable={false}
+        src={`${apiHost}api/events/${search.id}/thumbnail.webp`}
+      />
+    </div>
+  );
+
+  if (isDesktop) {
+    return (
+      <div className="grid h-full w-full grid-cols-[60%_40%] gap-4">
+        <div className="scrollbar-container min-w-0 overflow-y-auto overflow-x-hidden">
+          {snapshotElement}
+        </div>
+        <div className="flex min-w-0 flex-col gap-4 pr-2">
+          <TabsWithActions
+            search={search}
+            searchTabs={searchTabs}
+            pageToggle={pageToggle}
+            setPageToggle={setPageToggle}
+            config={config}
+            setSearch={setSearch}
+            setSimilarity={setSimilarity}
+            isPopoverOpen={isPopoverOpen}
+            setIsPopoverOpen={setIsPopoverOpen}
+            dialogContainer={dialogContainer}
+          />
+          <div className="scrollbar-container min-w-0 flex-1 overflow-y-auto overflow-x-hidden px-4">
+            <ObjectDetailsTab
+              search={search}
+              config={config}
+              setSearch={setSearch}
+              setInputFocused={setInputFocused}
+              setShowNavigationButtons={setShowNavigationButtons}
+            />
+          </div>
+        </div>
+      </div>
+    );
+  }
+
+  // mobile
+  return (
+    <>
+      {snapshotElement}
+      <ObjectDetailsTab
+        search={search}
+        config={config}
+        setSearch={setSearch}
+        setInputFocused={setInputFocused}
+        setShowNavigationButtons={setShowNavigationButtons}
+      />
+    </>
+  );
+}
+
 type SearchDetailDialogProps = {
   search?: SearchResult;
   page: SearchTab;
@@ -96,7 +432,10 @@ type SearchDetailDialogProps = {
   setSearchPage: (page: SearchTab) => void;
   setSimilarity?: () => void;
   setInputFocused: React.Dispatch<React.SetStateAction<boolean>>;
+  onPrevious?: () => void;
+  onNext?: () => void;
 };
+
 export default function SearchDetailDialog({
   search,
   page,
@@ -104,11 +443,14 @@ export default function SearchDetailDialog({
   setSearchPage,
   setSimilarity,
   setInputFocused,
+  onPrevious,
+  onNext,
 }: SearchDetailDialogProps) {
   const { t } = useTranslation(["views/explore", "views/faceLibrary"]);
   const { data: config } = useSWR<FrigateConfig>("config", {
     revalidateOnFocus: false,
   });
+  const apiHost = useApiHost();
 
   // tabs
 
@@ -121,11 +463,18 @@ export default function SearchDetailDialog({
   // dialog and mobile page
 
   const [isOpen, setIsOpen] = useState(search != undefined);
+  const [isPopoverOpen, setIsPopoverOpen] = useState(false);
+  const [showNavigationButtons, setShowNavigationButtons] = useState(false);
+  const dialogContentRef = useRef<HTMLDivElement | null>(null);
+  const [dialogContainer, setDialogContainer] = useState<HTMLDivElement | null>(
+    null,
+  );
 
   const handleOpenChange = useCallback(
     (open: boolean) => {
       setIsOpen(open);
       if (!open) {
+        setIsPopoverOpen(false);
         // short timeout to allow the mobile page animation
         // to complete before updating the state
         setTimeout(() => {
@@ -136,12 +485,18 @@ export default function SearchDetailDialog({
     [setSearch],
   );
 
+  useLayoutEffect(() => {
+    setDialogContainer(dialogContentRef.current);
+  }, [isOpen, search?.id]);
+
   useEffect(() => {
     if (search) {
       setIsOpen(search != undefined);
     }
   }, [search]);
 
+  // show/hide annotation settings is handled inside TabsWithActions
+
   const searchTabs = useMemo(() => {
     if (!config || !search) {
       return [];
@@ -149,18 +504,8 @@ export default function SearchDetailDialog({
 
     const views = [...SEARCH_TABS];
 
-    if (!search.has_snapshot) {
-      const index = views.indexOf("snapshot");
-      views.splice(index, 1);
-    }
-
     if (!search.has_clip) {
-      const index = views.indexOf("video");
-      views.splice(index, 1);
-    }
-
-    if (search.data.type != "object" || !search.has_clip) {
-      const index = views.indexOf("object_lifecycle");
+      const index = views.indexOf("tracking_details");
       views.splice(index, 1);
     }
 
@@ -173,7 +518,7 @@ export default function SearchDetailDialog({
     }
 
     if (!searchTabs.includes(pageToggle)) {
-      setSearchPage("details");
+      setSearchPage("snapshot");
     }
   }, [pageToggle, searchTabs, setSearchPage]);
 
@@ -190,94 +535,139 @@ export default function SearchDetailDialog({
   const Description = isDesktop ? DialogDescription : MobilePageDescription;
 
   return (
-    <Overlay
-      open={isOpen}
-      onOpenChange={handleOpenChange}
-      enableHistoryBack={true}
+    <DetailStreamProvider
+      isDetailMode={true}
+      currentTime={(search as unknown as Event)?.start_time ?? 0}
+      camera={(search as unknown as Event)?.camera ?? ""}
+      initialSelectedObjectIds={[(search as unknown as Event).id as string]}
     >
-      <Content
-        className={cn(
-          "scrollbar-container overflow-y-auto",
-          isDesktop &&
-            "max-h-[95dvh] sm:max-w-xl md:max-w-4xl lg:max-w-4xl xl:max-w-7xl",
-          isMobile && "px-4",
-        )}
+      <Overlay
+        open={isOpen}
+        onOpenChange={handleOpenChange}
+        enableHistoryBack={true}
       >
-        <Header>
-          <Title>{t("trackedObjectDetails")}</Title>
-          <Description className="sr-only">
-            {t("trackedObjectDetails")}
-          </Description>
-        </Header>
-        <ScrollArea
-          className={cn("w-full whitespace-nowrap", isMobile && "my-2")}
-        >
-          <div className="flex flex-row">
-            <ToggleGroup
-              className="*:rounded-md *:px-3 *:py-4"
-              type="single"
-              size="sm"
-              value={pageToggle}
-              onValueChange={(value: SearchTab) => {
-                if (value) {
-                  setPageToggle(value);
-                }
-              }}
-            >
-              {Object.values(searchTabs).map((item) => (
-                <ToggleGroupItem
-                  key={item}
-                  className={`flex scroll-mx-10 items-center justify-between gap-2 ${page == "details" ? "last:mr-20" : ""} ${pageToggle == item ? "" : "*:text-muted-foreground"}`}
-                  value={item}
-                  data-nav-item={item}
-                  aria-label={`Select ${item}`}
-                >
-                  {item == "details" && <FaRegListAlt className="size-4" />}
-                  {item == "snapshot" && <FaImage className="size-4" />}
-                  {item == "video" && <FaVideo className="size-4" />}
-                  {item == "object_lifecycle" && (
-                    <FaRotate className="size-4" />
-                  )}
-                  <div className="smart-capitalize">{t(`type.${item}`)}</div>
-                </ToggleGroupItem>
-              ))}
-            </ToggleGroup>
-            <ScrollBar orientation="horizontal" className="h-0" />
-          </div>
-        </ScrollArea>
-        {page == "details" && (
-          <ObjectDetailsTab
-            search={search}
-            config={config}
-            setSearch={setSearch}
-            setSimilarity={setSimilarity}
-            setInputFocused={setInputFocused}
-          />
+        {isDesktop && onPrevious && onNext && showNavigationButtons && (
+          <DialogPortal>
+            <div className="pointer-events-none fixed inset-0 z-[51] flex items-center justify-center">
+              <div
+                className={cn(
+                  "relative flex items-center justify-between",
+                  "w-full",
+                  // match dialog's max-width classes
+                  "max-h-[95dvh] max-w-[85%] xl:max-w-[70%]",
+                )}
+              >
+                <Tooltip>
+                  <TooltipTrigger asChild>
+                    <button
+                      onClick={(e) => {
+                        e.stopPropagation();
+                        onPrevious?.();
+                      }}
+                      className="nav-button pointer-events-auto absolute -left-16 rounded-lg border bg-secondary/60 p-2 text-primary-variant shadow-lg backdrop-blur-sm hover:bg-secondary/80 hover:text-primary"
+                      aria-label={t("searchResult.previousTrackedObject")}
+                    >
+                      <FaChevronLeft className="size-4" />
+                    </button>
+                  </TooltipTrigger>
+                  <TooltipContent>
+                    {t("searchResult.previousTrackedObject")}
+                  </TooltipContent>
+                </Tooltip>
+
+                <Tooltip>
+                  <TooltipTrigger asChild>
+                    <button
+                      onClick={(e) => {
+                        e.stopPropagation();
+                        onNext?.();
+                      }}
+                      className="nav-button pointer-events-auto absolute -right-16 rounded-lg border bg-secondary/60 p-2 text-primary-variant shadow-lg backdrop-blur-sm hover:bg-secondary/80 hover:text-primary"
+                      aria-label={t("searchResult.nextTrackedObject")}
+                    >
+                      <FaChevronRight className="size-4" />
+                    </button>
+                  </TooltipTrigger>
+                  <TooltipContent>
+                    {t("searchResult.nextTrackedObject")}
+                  </TooltipContent>
+                </Tooltip>
+              </div>
+            </div>
+          </DialogPortal>
         )}
-        {page == "snapshot" && (
-          <ObjectSnapshotTab
-            search={
-              {
-                ...search,
-                plus_id: config?.plus?.enabled ? search.plus_id : "not_enabled",
-              } as unknown as Event
+        <Content
+          ref={isDesktop ? dialogContentRef : undefined}
+          className={cn(
+            isDesktop && [
+              "max-h-[95dvh] max-w-[85%] xl:max-w-[70%]",
+              pageToggle === "tracking_details"
+                ? "flex flex-col overflow-hidden"
+                : "scrollbar-container overflow-y-auto",
+            ],
+            isMobile &&
+              "scrollbar-container flex h-full flex-col overflow-y-auto px-4",
+          )}
+          onEscapeKeyDown={(event) => {
+            if (isPopoverOpen) {
+              event.preventDefault();
             }
-            onEventUploaded={() => {
-              search.plus_id = "new_upload";
-            }}
+          }}
+          onInteractOutside={(e) => {
+            if (isPopoverOpen) {
+              e.preventDefault();
+            }
+            const target = e.target as HTMLElement;
+            if (target.closest(".nav-button")) {
+              e.preventDefault();
+            }
+          }}
+        >
+          <Header className={cn(!isDesktop && "top-0 z-[60] mb-0")}>
+            <Title>{t("trackedObjectDetails")}</Title>
+            <Description className="sr-only">
+              {t("trackedObjectDetails")}
+              <span className="sr-only" tabIndex={0} />
+            </Description>
+          </Header>
+
+          {!isDesktop && (
+            <div className="flex w-full flex-col justify-center gap-4">
+              <TabsWithActions
+                search={search}
+                searchTabs={searchTabs}
+                pageToggle={pageToggle}
+                setPageToggle={setPageToggle}
+                config={config}
+                setSearch={setSearch}
+                setSimilarity={setSimilarity}
+                isPopoverOpen={isPopoverOpen}
+                setIsPopoverOpen={setIsPopoverOpen}
+                dialogContainer={dialogContainer}
+              />
+            </div>
+          )}
+
+          <DialogContentComponent
+            page={page}
+            search={search}
+            isDesktop={isDesktop}
+            apiHost={apiHost}
+            config={config}
+            searchTabs={searchTabs}
+            pageToggle={pageToggle}
+            setPageToggle={setPageToggle}
+            setSearch={setSearch}
+            setInputFocused={setInputFocused}
+            setSimilarity={setSimilarity}
+            isPopoverOpen={isPopoverOpen}
+            setIsPopoverOpen={setIsPopoverOpen}
+            dialogContainer={dialogContainer}
+            setShowNavigationButtons={setShowNavigationButtons}
           />
-        )}
-        {page == "video" && <VideoTab search={search} />}
-        {page == "object_lifecycle" && (
-          <ObjectLifecycle
-            className="w-full overflow-x-hidden"
-            event={search as unknown as Event}
-            fullscreen={true}
-            setPane={() => {}}
-          />
-        )}
-      </Content>
-    </Overlay>
+        </Content>
+      </Overlay>
+    </DetailStreamProvider>
   );
 }
 
@@ -285,24 +675,53 @@ type ObjectDetailsTabProps = {
   search: SearchResult;
   config?: FrigateConfig;
   setSearch: (search: SearchResult | undefined) => void;
-  setSimilarity?: () => void;
   setInputFocused: React.Dispatch<React.SetStateAction<boolean>>;
+  setShowNavigationButtons?: React.Dispatch<React.SetStateAction<boolean>>;
 };
 function ObjectDetailsTab({
   search,
   config,
   setSearch,
-  setSimilarity,
   setInputFocused,
+  setShowNavigationButtons,
 }: ObjectDetailsTabProps) {
-  const { t } = useTranslation(["views/explore", "views/faceLibrary"]);
+  const { t, i18n } = useTranslation([
+    "views/explore",
+    "views/faceLibrary",
+    "components/dialog",
+  ]);
 
   const apiHost = useApiHost();
+  const hasCustomClassificationModels = useMemo(
+    () => Object.keys(config?.classification?.custom ?? {}).length > 0,
+    [config],
+  );
+  const { data: modelAttributes } = useSWR<Record<string, string[]>>(
+    hasCustomClassificationModels && search
+      ? `classification/attributes?object_type=${encodeURIComponent(search.label)}&group_by_model=true`
+      : null,
+  );
 
   // mutation / revalidation
 
   const mutate = useGlobalMutation();
 
+  // Helper to map over SWR cached search results while preserving
+  // either paginated format (SearchResult[][]) or flat format (SearchResult[])
+  const mapSearchResults = useCallback(
+    (
+      currentData: SearchResult[][] | SearchResult[] | undefined,
+      fn: (event: SearchResult) => SearchResult,
+    ) => {
+      if (!currentData) return currentData;
+      if (Array.isArray(currentData[0])) {
+        return (currentData as SearchResult[][]).map((page) => page.map(fn));
+      }
+      return (currentData as SearchResult[]).map(fn);
+    },
+    [],
+  );
+
   // users
 
   const isAdmin = useIsAdmin();
@@ -312,6 +731,9 @@ function ObjectDetailsTab({
   const [desc, setDesc] = useState(search?.data.description);
   const [isSubLabelDialogOpen, setIsSubLabelDialogOpen] = useState(false);
   const [isLPRDialogOpen, setIsLPRDialogOpen] = useState(false);
+  const [isAttributesDialogOpen, setIsAttributesDialogOpen] = useState(false);
+  const [isEditingDesc, setIsEditingDesc] = useState(false);
+  const originalDescRef = useRef<string | null>(null);
 
   const handleDescriptionFocus = useCallback(() => {
     setInputFocused(true);
@@ -324,6 +746,19 @@ function ObjectDetailsTab({
   // we have to make sure the current selected search item stays in sync
   useEffect(() => setDesc(search?.data.description ?? ""), [search]);
 
+  useEffect(() => setIsAttributesDialogOpen(false), [search?.id]);
+
+  useEffect(() => {
+    const anyDialogOpen =
+      isSubLabelDialogOpen || isLPRDialogOpen || isAttributesDialogOpen;
+    setShowNavigationButtons?.(!anyDialogOpen);
+  }, [
+    isSubLabelDialogOpen,
+    isLPRDialogOpen,
+    isAttributesDialogOpen,
+    setShowNavigationButtons,
+  ]);
+
   const formattedDate = useFormattedTimestamp(
     search?.start_time ?? 0,
     config?.ui.time_format == "24hour"
@@ -409,6 +844,50 @@ function ObjectDetailsTab({
     }
   }, [search]);
 
+  // Extract current attribute selections grouped by model
+  const selectedAttributesByModel = useMemo(() => {
+    if (!search || !modelAttributes) {
+      return {};
+    }
+
+    const dataAny = search.data as Record<string, unknown>;
+    const selections: Record<string, string | null> = {};
+
+    // Initialize all models with null
+    Object.keys(modelAttributes).forEach((modelName) => {
+      selections[modelName] = null;
+    });
+
+    // Find which attribute is selected for each model
+    Object.keys(modelAttributes).forEach((modelName) => {
+      const value = dataAny[modelName];
+      if (
+        typeof value === "string" &&
+        modelAttributes[modelName].includes(value)
+      ) {
+        selections[modelName] = value;
+      }
+    });
+
+    return selections;
+  }, [search, modelAttributes]);
+
+  // Get flat list of selected attributes for display
+  const eventAttributes = useMemo(() => {
+    return Object.values(selectedAttributesByModel)
+      .filter((attr): attr is string => attr !== null)
+      .sort((a, b) => a.localeCompare(b));
+  }, [selectedAttributesByModel]);
+
+  const isEventsKey = useCallback((key: unknown): boolean => {
+    const candidate = Array.isArray(key) ? key[0] : key;
+    const EVENTS_KEY_PATTERNS = ["events", "events/search", "events/explore"];
+    return (
+      typeof candidate === "string" &&
+      EVENTS_KEY_PATTERNS.some((p) => candidate.includes(p))
+    );
+  }, []);
+
   const updateDescription = useCallback(() => {
     if (!search) {
       return;
@@ -423,28 +902,20 @@ function ObjectDetailsTab({
           });
         }
         mutate(
-          (key) =>
-            typeof key === "string" &&
-            (key.includes("events") ||
-              key.includes("events/search") ||
-              key.includes("events/explore")),
-          (currentData: SearchResult[][] | SearchResult[] | undefined) => {
-            if (!currentData) return currentData;
-            // optimistic update
-            return currentData
-              .flat()
-              .map((event) =>
-                event.id === search.id
-                  ? { ...event, data: { ...event.data, description: desc } }
-                  : event,
-              );
-          },
+          (key) => isEventsKey(key),
+          (currentData: SearchResult[][] | SearchResult[] | undefined) =>
+            mapSearchResults(currentData, (event) =>
+              event.id === search.id
+                ? { ...event, data: { ...event.data, description: desc } }
+                : event,
+            ),
           {
             optimisticData: true,
             rollbackOnError: true,
             revalidate: false,
           },
         );
+        setSearch({ ...search, data: { ...search.data, description: desc } });
       })
       .catch((error) => {
         const errorMessage =
@@ -461,7 +932,7 @@ function ObjectDetailsTab({
         );
         setDesc(search.data.description);
       });
-  }, [desc, search, mutate, t]);
+  }, [desc, search, mutate, t, mapSearchResults, isEventsKey, setSearch]);
 
   const regenerateDescription = useCallback(
     (source: "snapshot" | "thumbnails") => {
@@ -528,14 +999,9 @@ function ObjectDetailsTab({
             });
 
             mutate(
-              (key) =>
-                typeof key === "string" &&
-                (key.includes("events") ||
-                  key.includes("events/search") ||
-                  key.includes("events/explore")),
-              (currentData: SearchResult[][] | SearchResult[] | undefined) => {
-                if (!currentData) return currentData;
-                return currentData.flat().map((event) =>
+              (key) => isEventsKey(key),
+              (currentData: SearchResult[][] | SearchResult[] | undefined) =>
+                mapSearchResults(currentData, (event) =>
                   event.id === search.id
                     ? {
                         ...event,
@@ -546,8 +1012,7 @@ function ObjectDetailsTab({
                         },
                       }
                     : event,
-                );
-              },
+                ),
               {
                 optimisticData: true,
                 rollbackOnError: true,
@@ -581,7 +1046,7 @@ function ObjectDetailsTab({
           );
         });
     },
-    [search, apiHost, mutate, setSearch, t],
+    [search, apiHost, mutate, setSearch, t, mapSearchResults, isEventsKey],
   );
 
   // recognized plate
@@ -605,14 +1070,9 @@ function ObjectDetailsTab({
             });
 
             mutate(
-              (key) =>
-                typeof key === "string" &&
-                (key.includes("events") ||
-                  key.includes("events/search") ||
-                  key.includes("events/explore")),
-              (currentData: SearchResult[][] | SearchResult[] | undefined) => {
-                if (!currentData) return currentData;
-                return currentData.flat().map((event) =>
+              (key) => isEventsKey(key),
+              (currentData: SearchResult[][] | SearchResult[] | undefined) =>
+                mapSearchResults(currentData, (event) =>
                   event.id === search.id
                     ? {
                         ...event,
@@ -623,8 +1083,7 @@ function ObjectDetailsTab({
                         },
                       }
                     : event,
-                );
-              },
+                ),
               {
                 optimisticData: true,
                 rollbackOnError: true,
@@ -658,49 +1117,66 @@ function ObjectDetailsTab({
           );
         });
     },
-    [search, apiHost, mutate, setSearch, t],
+    [search, apiHost, mutate, setSearch, t, mapSearchResults, isEventsKey],
   );
 
-  // face training
+  const handleAttributesSave = useCallback(
+    (selectedAttributes: string[]) => {
+      if (!search) return;
 
-  const hasFace = useMemo(() => {
-    if (!config?.face_recognition.enabled || !search) {
-      return false;
-    }
-
-    return search.data.attributes?.find((attr) => attr.label == "face");
-  }, [config, search]);
-
-  const { data: faceData } = useSWR(hasFace ? "faces" : null);
-
-  const faceNames = useMemo<string[]>(
-    () =>
-      faceData ? Object.keys(faceData).filter((face) => face != "train") : [],
-    [faceData],
-  );
-
-  const onTrainFace = useCallback(
-    (trainName: string) => {
       axios
-        .post(`/faces/train/${trainName}/classify`, { event_id: search.id })
-        .then((resp) => {
-          if (resp.status == 200) {
-            toast.success(
-              t("toast.success.trainedFace", { ns: "views/faceLibrary" }),
-              {
-                position: "top-center",
-              },
-            );
-          }
+        .post(`${apiHost}api/events/${search.id}/attributes`, {
+          attributes: selectedAttributes,
+        })
+        .then((response) => {
+          const applied = Array.isArray(response.data?.applied)
+            ? (response.data.applied as {
+                model?: string;
+                label?: string | null;
+                score?: number | null;
+              }[])
+            : [];
+
+          toast.success(t("details.item.toast.success.updatedAttributes"), {
+            position: "top-center",
+          });
+
+          const applyUpdatedAttributes = (event: SearchResult) => {
+            if (event.id !== search.id) return event;
+
+            const updatedData: Record<string, unknown> = { ...event.data };
+
+            applied.forEach(({ model, label, score }) => {
+              if (!model) return;
+              updatedData[model] = label ?? null;
+              updatedData[`${model}_score`] = score ?? null;
+            });
+
+            return { ...event, data: updatedData } as SearchResult;
+          };
+
+          mutate(
+            (key) => isEventsKey(key),
+            (currentData: SearchResult[][] | SearchResult[] | undefined) =>
+              mapSearchResults(currentData, applyUpdatedAttributes),
+            {
+              optimisticData: true,
+              rollbackOnError: true,
+              revalidate: false,
+            },
+          );
+
+          setSearch(applyUpdatedAttributes(search));
+          setIsAttributesDialogOpen(false);
         })
         .catch((error) => {
           const errorMessage =
             error.response?.data?.message ||
             error.response?.data?.detail ||
             "Unknown error";
+
           toast.error(
-            t("toast.error.trainFailed", {
-              ns: "views/faceLibrary",
+            t("details.item.toast.error.updatedAttributesFailed", {
               errorMessage,
             }),
             {
@@ -709,7 +1185,7 @@ function ObjectDetailsTab({
           );
         });
     },
-    [search, t],
+    [search, apiHost, mutate, t, mapSearchResults, isEventsKey, setSearch],
   );
 
   // speech transcription
@@ -740,344 +1216,14 @@ function ObjectDetailsTab({
       });
   }, [search, t]);
 
-  return (
-    <div className="flex flex-col gap-5">
-      <div className="flex w-full flex-row">
-        <div className="flex w-full flex-col gap-3">
-          <div className="flex flex-col gap-1.5">
-            <div className="text-sm text-primary/40">{t("details.label")}</div>
-            <div className="flex flex-row items-center gap-2 text-sm smart-capitalize">
-              {getIconForLabel(search.label, "size-4 text-primary")}
-              {getTranslatedLabel(search.label)}
-              {search.sub_label && ` (${search.sub_label})`}
-              {isAdmin && search.end_time && (
-                <Tooltip>
-                  <TooltipTrigger asChild>
-                    <span>
-                      <FaPencilAlt
-                        className="size-4 cursor-pointer text-primary/40 hover:text-primary/80"
-                        onClick={() => {
-                          setIsSubLabelDialogOpen(true);
-                        }}
-                      />
-                    </span>
-                  </TooltipTrigger>
-                  <TooltipPortal>
-                    <TooltipContent>
-                      {t("details.editSubLabel.title")}
-                    </TooltipContent>
-                  </TooltipPortal>
-                </Tooltip>
-              )}
-            </div>
-          </div>
-          {search?.data.recognized_license_plate && (
-            <div className="flex flex-col gap-1.5">
-              <div className="text-sm text-primary/40">
-                {t("details.recognizedLicensePlate")}
-              </div>
-              <div className="flex flex-col space-y-0.5 text-sm">
-                <div className="flex flex-row items-center gap-2">
-                  {search.data.recognized_license_plate}{" "}
-                  {recognizedLicensePlateScore &&
-                    ` (${recognizedLicensePlateScore}%)`}
-                  {isAdmin && (
-                    <Tooltip>
-                      <TooltipTrigger asChild>
-                        <span>
-                          <FaPencilAlt
-                            className="size-4 cursor-pointer text-primary/40 hover:text-primary/80"
-                            onClick={() => {
-                              setIsLPRDialogOpen(true);
-                            }}
-                          />
-                        </span>
-                      </TooltipTrigger>
-                      <TooltipPortal>
-                        <TooltipContent>
-                          {t("details.editLPR.title")}
-                        </TooltipContent>
-                      </TooltipPortal>
-                    </Tooltip>
-                  )}
-                </div>
-              </div>
-            </div>
-          )}
-          <div className="flex flex-col gap-1.5">
-            <div className="text-sm text-primary/40">
-              <div className="flex flex-row items-center gap-1">
-                {t("details.topScore.label")}
-                <Popover>
-                  <PopoverTrigger asChild>
-                    <div className="cursor-pointer p-0">
-                      <LuInfo className="size-4" />
-                      <span className="sr-only">Info</span>
-                    </div>
-                  </PopoverTrigger>
-                  <PopoverContent className="w-80">
-                    {t("details.topScore.info")}
-                  </PopoverContent>
-                </Popover>
-              </div>
-            </div>
-            <div className="text-sm">
-              {topScore}%{subLabelScore && ` (${subLabelScore}%)`}
-            </div>
-          </div>
-          {snapScore != undefined && (
-            <div className="flex flex-col gap-1.5">
-              <div className="text-sm text-primary/40">
-                <div className="flex flex-row items-center gap-1">
-                  {t("details.snapshotScore.label")}
-                </div>
-              </div>
-              <div className="text-sm">{snapScore}%</div>
-            </div>
-          )}
-          {averageEstimatedSpeed && (
-            <div className="flex flex-col gap-1.5">
-              <div className="text-sm text-primary/40">
-                {t("details.estimatedSpeed")}
-              </div>
-              <div className="flex flex-col space-y-0.5 text-sm">
-                {averageEstimatedSpeed && (
-                  <div className="flex flex-row items-center gap-2">
-                    {averageEstimatedSpeed}{" "}
-                    {config?.ui.unit_system == "imperial"
-                      ? t("unit.speed.mph", { ns: "common" })
-                      : t("unit.speed.kph", { ns: "common" })}{" "}
-                    {velocityAngle != undefined && (
-                      <span className="text-primary/40">
-                        <FaArrowRight
-                          size={10}
-                          style={{
-                            transform: `rotate(${(360 - Number(velocityAngle)) % 360}deg)`,
-                          }}
-                        />
-                      </span>
-                    )}
-                  </div>
-                )}
-              </div>
-            </div>
-          )}
-          <div className="flex flex-col gap-1.5">
-            <div className="text-sm text-primary/40">{t("details.camera")}</div>
-            <div className="text-sm smart-capitalize">
-              <CameraNameLabel camera={search.camera} />
-            </div>
-          </div>
-          <div className="flex flex-col gap-1.5">
-            <div className="text-sm text-primary/40">
-              {t("details.timestamp")}
-            </div>
-            <div className="text-sm">{formattedDate}</div>
-          </div>
-        </div>
-        <div className="flex w-full flex-col gap-2 pl-6">
-          <img
-            className="aspect-video select-none rounded-lg object-contain transition-opacity"
-            style={
-              isIOS
-                ? {
-                    WebkitUserSelect: "none",
-                    WebkitTouchCallout: "none",
-                  }
-                : undefined
-            }
-            draggable={false}
-            src={`${apiHost}api/events/${search.id}/thumbnail.webp`}
-          />
-          <div
-            className={cn("flex w-full flex-row gap-2", isMobile && "flex-col")}
-          >
-            {config?.semantic_search.enabled &&
-              setSimilarity != undefined &&
-              search.data.type == "object" && (
-                <Button
-                  className="w-full"
-                  aria-label={t("itemMenu.findSimilar.aria")}
-                  onClick={() => {
-                    setSearch(undefined);
-                    setSimilarity();
-                  }}
-                >
-                  <div className="flex gap-1">
-                    <LuSearch />
-                    {t("itemMenu.findSimilar.label")}
-                  </div>
-                </Button>
-              )}
-            {hasFace && (
-              <FaceSelectionDialog
-                className="w-full"
-                faceNames={faceNames}
-                onTrainAttempt={onTrainFace}
-              >
-                <Button className="w-full">
-                  <div className="flex gap-1">
-                    <TbFaceId />
-                    {t("trainFace", { ns: "views/faceLibrary" })}
-                  </div>
-                </Button>
-              </FaceSelectionDialog>
-            )}
-            {config?.cameras[search?.camera].audio_transcription.enabled &&
-              search?.label == "speech" &&
-              search?.end_time && (
-                <Button className="w-full" onClick={onTranscribe}>
-                  <div className="flex gap-1">
-                    <CgTranscript />
-                    {t("itemMenu.audioTranscription.label")}
-                  </div>
-                </Button>
-              )}
-          </div>
-        </div>
-      </div>
-      <div className="flex flex-col gap-1.5">
-        {config?.cameras[search.camera].objects.genai.enabled &&
-        !search.end_time &&
-        (config.cameras[search.camera].objects.genai.required_zones.length ===
-          0 ||
-          search.zones.some((zone) =>
-            config.cameras[search.camera].objects.genai.required_zones.includes(
-              zone,
-            ),
-          )) &&
-        (config.cameras[search.camera].objects.genai.objects.length === 0 ||
-          config.cameras[search.camera].objects.genai.objects.includes(
-            search.label,
-          )) ? (
-          <>
-            <div className="text-sm text-primary/40">
-              {t("details.description.label")}
-            </div>
-            <div className="flex h-64 flex-col items-center justify-center gap-3 border p-4 text-sm text-primary/40">
-              <div className="flex">
-                <ActivityIndicator />
-              </div>
-              <div className="flex">{t("details.description.aiTips")}</div>
-            </div>
-          </>
-        ) : (
-          <>
-            <div className="text-sm text-primary/40"></div>
-            <Textarea
-              className="text-md h-64"
-              placeholder={t("details.description.placeholder")}
-              value={desc}
-              onChange={(e) => setDesc(e.target.value)}
-              onFocus={handleDescriptionFocus}
-              onBlur={handleDescriptionBlur}
-            />
-          </>
-        )}
+  // audio transcription processing state
 
-        <div className="flex w-full flex-row justify-end gap-2">
-          {config?.cameras[search.camera].objects.genai.enabled &&
-            search.end_time && (
-              <div className="flex items-start">
-                <Button
-                  className="rounded-r-none border-r-0"
-                  aria-label={t("details.button.regenerate.label")}
-                  onClick={() => regenerateDescription("thumbnails")}
-                >
-                  {t("details.button.regenerate.title")}
-                </Button>
-                {search.has_snapshot && (
-                  <DropdownMenu>
-                    <DropdownMenuTrigger asChild>
-                      <Button
-                        className="rounded-l-none border-l-0 px-2"
-                        aria-label={t("details.expandRegenerationMenu")}
-                      >
-                        <FaChevronDown className="size-3" />
-                      </Button>
-                    </DropdownMenuTrigger>
-                    <DropdownMenuContent>
-                      <DropdownMenuItem
-                        className="cursor-pointer"
-                        aria-label={t("details.regenerateFromSnapshot")}
-                        onClick={() => regenerateDescription("snapshot")}
-                      >
-                        {t("details.regenerateFromSnapshot")}
-                      </DropdownMenuItem>
-                      <DropdownMenuItem
-                        className="cursor-pointer"
-                        aria-label={t("details.regenerateFromThumbnails")}
-                        onClick={() => regenerateDescription("thumbnails")}
-                      >
-                        {t("details.regenerateFromThumbnails")}
-                      </DropdownMenuItem>
-                    </DropdownMenuContent>
-                  </DropdownMenu>
-                )}
-              </div>
-            )}
-          {((config?.cameras[search.camera].objects.genai.enabled &&
-            search.end_time) ||
-            !config?.cameras[search.camera].objects.genai.enabled) && (
-            <Button
-              variant="select"
-              aria-label={t("button.save", { ns: "common" })}
-              onClick={updateDescription}
-            >
-              {t("button.save", { ns: "common" })}
-            </Button>
-          )}
-          <TextEntryDialog
-            open={isSubLabelDialogOpen}
-            setOpen={setIsSubLabelDialogOpen}
-            title={t("details.editSubLabel.title")}
-            description={
-              search.label
-                ? t("details.editSubLabel.desc", {
-                    label: search.label,
-                  })
-                : t("details.editSubLabel.descNoLabel")
-            }
-            onSave={handleSubLabelSave}
-            defaultValue={search?.sub_label || ""}
-            allowEmpty={true}
-          />
-          <TextEntryDialog
-            open={isLPRDialogOpen}
-            setOpen={setIsLPRDialogOpen}
-            title={t("details.editLPR.title")}
-            description={
-              search.label
-                ? t("details.editLPR.desc", {
-                    label: search.label,
-                  })
-                : t("details.editLPR.descNoLabel")
-            }
-            onSave={handleLPRSave}
-            defaultValue={search?.data.recognized_license_plate || ""}
-            allowEmpty={true}
-          />
-        </div>
-      </div>
-    </div>
-  );
-}
+  const { payload: audioTranscriptionProcessState } =
+    useAudioTranscriptionProcessState();
+
+  // frigate+ submission
 
-type ObjectSnapshotTabProps = {
-  search: Event;
-  onEventUploaded: () => void;
-};
-export function ObjectSnapshotTab({
-  search,
-  onEventUploaded,
-}: ObjectSnapshotTabProps) {
-  const { t, i18n } = useTranslation(["components/dialog"]);
   type SubmissionState = "reviewing" | "uploading" | "submitted";
-
-  const [imgRef, imgLoaded, onImgLoad] = useImageLoaded();
-
-  // upload
-
   const [state, setState] = useState<SubmissionState>(
     search?.plus_id ? "submitted" : "reviewing",
   );
@@ -1100,20 +1246,573 @@ export function ObjectSnapshotTab({
           });
 
       setState("submitted");
-      onEventUploaded();
+      setSearch({ ...search, plus_id: "new_upload" });
+      mutate(
+        (key) => isEventsKey(key),
+        (currentData: SearchResult[][] | SearchResult[] | undefined) =>
+          mapSearchResults(currentData, (event) =>
+            event.id === search.id
+              ? { ...event, plus_id: "new_upload" }
+              : event,
+          ),
+        {
+          optimisticData: true,
+          rollbackOnError: true,
+          revalidate: false,
+        },
+      );
     },
-    [search, onEventUploaded],
+    [search, mutate, mapSearchResults, setSearch, isEventsKey],
   );
 
+  const popoverContainerRef = useRef<HTMLDivElement | null>(null);
+  const canRegenerate = !!(
+    config?.cameras[search.camera].objects.genai.enabled && search.end_time
+  );
+  const showGenAIPlaceholder = !!(
+    config?.cameras[search.camera].objects.genai.enabled &&
+    !search.end_time &&
+    (config.cameras[search.camera].objects.genai.required_zones.length === 0 ||
+      search.zones.some((zone) =>
+        config.cameras[search.camera].objects.genai.required_zones.includes(
+          zone,
+        ),
+      )) &&
+    (config.cameras[search.camera].objects.genai.objects.length === 0 ||
+      config.cameras[search.camera].objects.genai.objects.includes(
+        search.label,
+      ))
+  );
   return (
-    <div className="relative size-full">
+    <div ref={popoverContainerRef} className="flex flex-col gap-5">
+      <div className="flex w-full flex-row">
+        <div className="flex w-full flex-col gap-3">
+          <div className="w-full">
+            <div className="flex w-full flex-row flex-wrap gap-6">
+              <div className="min-w-0 flex-1">
+                <div className="flex flex-col gap-3">
+                  <div className="flex flex-col gap-1.5">
+                    <div className="text-sm text-primary/40">
+                      {t("details.label")}
+                    </div>
+                    <div className="flex flex-row items-center gap-2 text-sm smart-capitalize">
+                      {getIconForLabel(
+                        search.label,
+                        search.data.type,
+                        "size-4 text-primary",
+                      )}
+                      {getTranslatedLabel(search.label, search.data.type)}
+                      {search.sub_label && ` (${search.sub_label})`}
+                      {isAdmin && search.end_time && (
+                        <Tooltip>
+                          <TooltipTrigger asChild>
+                            <span>
+                              <FaPencilAlt
+                                className="size-4 cursor-pointer text-primary/40 hover:text-primary/80"
+                                onClick={() => setIsSubLabelDialogOpen(true)}
+                              />
+                            </span>
+                          </TooltipTrigger>
+                          <TooltipPortal>
+                            <TooltipContent>
+                              {t("details.editSubLabel.title")}
+                            </TooltipContent>
+                          </TooltipPortal>
+                        </Tooltip>
+                      )}
+                    </div>
+                  </div>
+
+                  <div className="flex flex-col gap-1.5">
+                    <div className="text-sm text-primary/40">
+                      <div className="flex flex-row items-center gap-1">
+                        {t("details.topScore.label")}
+                        <Popover>
+                          <PopoverTrigger asChild>
+                            <div className="cursor-pointer p-0">
+                              <LuInfo className="size-4" />
+                              <span className="sr-only">Info</span>
+                            </div>
+                          </PopoverTrigger>
+                          <PopoverContent
+                            container={popoverContainerRef.current}
+                            className="w-80 text-xs"
+                          >
+                            {t("details.topScore.info")}
+                          </PopoverContent>
+                        </Popover>
+                      </div>
+                    </div>
+                    <div className="text-sm">
+                      {topScore}%{subLabelScore && ` (${subLabelScore}%)`}
+                    </div>
+                  </div>
+
+                  <div className="flex flex-col gap-1.5">
+                    <div className="text-sm text-primary/40">
+                      {t("details.camera")}
+                    </div>
+                    <div className="text-sm smart-capitalize">
+                      <CameraNameLabel camera={search.camera} />
+                    </div>
+                  </div>
+                </div>
+              </div>
+
+              <div className="min-w-0 flex-1">
+                <div className="flex flex-col gap-3">
+                  {snapScore != undefined && (
+                    <div className="flex flex-col gap-1.5">
+                      <div className="text-sm text-primary/40">
+                        <div className="flex flex-row items-center gap-1">
+                          {t("details.snapshotScore.label")}
+                        </div>
+                      </div>
+                      <div className="text-sm">{snapScore}%</div>
+                    </div>
+                  )}
+
+                  {averageEstimatedSpeed && (
+                    <div className="flex flex-col gap-1.5">
+                      <div className="text-sm text-primary/40">
+                        {t("details.estimatedSpeed")}
+                      </div>
+                      <div className="flex flex-col space-y-0.5 text-sm">
+                        <div className="flex flex-row items-center gap-2">
+                          {averageEstimatedSpeed}{" "}
+                          {config?.ui.unit_system == "imperial"
+                            ? t("unit.speed.mph", { ns: "common" })
+                            : t("unit.speed.kph", { ns: "common" })}
+                          {velocityAngle != undefined && (
+                            <span className="text-primary/40">
+                              <FaArrowRight
+                                size={10}
+                                style={{
+                                  transform: `rotate(${(360 - Number(velocityAngle)) % 360}deg)`,
+                                }}
+                              />
+                            </span>
+                          )}
+                        </div>
+                      </div>
+                    </div>
+                  )}
+
+                  <div className="flex flex-col gap-1.5">
+                    <div className="text-sm text-primary/40">
+                      {t("details.timestamp")}
+                    </div>
+                    <div className="text-sm">{formattedDate}</div>
+                  </div>
+                </div>
+              </div>
+            </div>
+          </div>
+          {search?.data.recognized_license_plate && (
+            <div className="flex flex-col gap-1.5">
+              <div className="text-sm text-primary/40">
+                {t("details.recognizedLicensePlate")}
+              </div>
+              <div className="flex flex-col space-y-0.5 text-sm">
+                <div className="flex flex-row items-center gap-2">
+                  {search.data.recognized_license_plate}{" "}
+                  {recognizedLicensePlateScore &&
+                    ` (${recognizedLicensePlateScore}%)`}
+                  {isAdmin && (
+                    <Tooltip>
+                      <TooltipTrigger asChild>
+                        <span>
+                          <FaPencilAlt
+                            className="size-4 cursor-pointer text-primary/40 hover:text-primary/80"
+                            onClick={() => setIsLPRDialogOpen(true)}
+                          />
+                        </span>
+                      </TooltipTrigger>
+                      <TooltipPortal>
+                        <TooltipContent>
+                          {t("details.editLPR.title")}
+                        </TooltipContent>
+                      </TooltipPortal>
+                    </Tooltip>
+                  )}
+                </div>
+              </div>
+            </div>
+          )}
+
+          {hasCustomClassificationModels &&
+            modelAttributes &&
+            Object.keys(modelAttributes).length > 0 && (
+              <div className="flex flex-col gap-1.5">
+                <div className="flex items-center gap-2 text-sm text-primary/40">
+                  {t("details.attributes")}
+                  {isAdmin && (
+                    <Tooltip>
+                      <TooltipTrigger asChild>
+                        <span>
+                          <FaPencilAlt
+                            className="size-4 cursor-pointer text-primary/40 hover:text-primary/80"
+                            onClick={() => setIsAttributesDialogOpen(true)}
+                          />
+                        </span>
+                      </TooltipTrigger>
+                      <TooltipPortal>
+                        <TooltipContent>
+                          {t("button.edit", { ns: "common" })}
+                        </TooltipContent>
+                      </TooltipPortal>
+                    </Tooltip>
+                  )}
+                </div>
+                <div className="text-sm">
+                  {eventAttributes.length > 0
+                    ? eventAttributes.join(", ")
+                    : t("label.none", { ns: "common" })}
+                </div>
+              </div>
+            )}
+        </div>
+      </div>
+
+      {isAdmin &&
+        search.data.type === "object" &&
+        config?.plus?.enabled &&
+        search.end_time != undefined &&
+        search.has_snapshot && (
+          <div
+            className={cn(
+              "my-2 flex w-full flex-col justify-between gap-1.5",
+              state == "submitted" && "flex-row",
+            )}
+          >
+            <div className="text-sm text-primary/40">
+              <div className="flex flex-row items-center gap-1">
+                {t("explore.plus.submitToPlus.label", {
+                  ns: "components/dialog",
+                })}
+                <Popover>
+                  <PopoverTrigger asChild>
+                    <div className="cursor-pointer p-0">
+                      <LuInfo className="size-4" />
+                      <span className="sr-only">Info</span>
+                    </div>
+                  </PopoverTrigger>
+                  <PopoverContent
+                    container={popoverContainerRef.current}
+                    className="w-80 text-xs"
+                  >
+                    {t("explore.plus.submitToPlus.desc", {
+                      ns: "components/dialog",
+                    })}
+                  </PopoverContent>
+                </Popover>
+              </div>
+            </div>
+
+            <div className="flex flex-row items-center justify-between gap-2 text-sm">
+              {state == "reviewing" && (
+                <>
+                  <div>
+                    {i18n.language === "en" ? (
+                      // English with a/an logic plus label
+                      <>
+                        {/^[aeiou]/i.test(search?.label || "") ? (
+                          <Trans
+                            ns="components/dialog"
+                            values={{ label: search?.label }}
+                          >
+                            explore.plus.review.question.ask_an
+                          </Trans>
+                        ) : (
+                          <Trans
+                            ns="components/dialog"
+                            values={{ label: search?.label }}
+                          >
+                            explore.plus.review.question.ask_a
+                          </Trans>
+                        )}
+                      </>
+                    ) : (
+                      // For other languages
+                      <Trans
+                        ns="components/dialog"
+                        values={{
+                          untranslatedLabel: search?.label,
+                          translatedLabel: getTranslatedLabel(search?.label),
+                        }}
+                      >
+                        explore.plus.review.question.ask_full
+                      </Trans>
+                    )}
+                  </div>
+                  <div className="flex max-w-xl flex-row gap-2">
+                    <Button
+                      className="flex-1 bg-success"
+                      aria-label={t("button.yes", { ns: "common" })}
+                      onClick={() => {
+                        setState("uploading");
+                        onSubmitToPlus(false);
+                      }}
+                    >
+                      {t("button.yes", { ns: "common" })}
+                    </Button>
+                    <Button
+                      className="flex-1 text-white"
+                      aria-label={t("button.no", { ns: "common" })}
+                      variant="destructive"
+                      onClick={() => {
+                        setState("uploading");
+                        onSubmitToPlus(true);
+                      }}
+                    >
+                      {t("button.no", { ns: "common" })}
+                    </Button>
+                  </div>
+                </>
+              )}
+              {state == "uploading" && <ActivityIndicator />}
+              {state == "submitted" && (
+                <div className="flex flex-row items-center justify-center gap-2">
+                  <FaCheckCircle className="size-4 text-success" />
+                  {t("explore.plus.review.state.submitted", {
+                    ns: "components/dialog",
+                  })}
+                </div>
+              )}
+            </div>
+          </div>
+        )}
+      <div className="flex flex-col gap-1.5">
+        <div className="flex items-center justify-start gap-3">
+          <div className="text-sm text-primary/40">
+            {t("details.description.label")}
+          </div>
+          <div className="flex items-center gap-3">
+            <Tooltip>
+              <TooltipTrigger asChild>
+                <button
+                  aria-label={t("button.edit", { ns: "common" })}
+                  className="text-primary/40 hover:text-primary/80"
+                  onClick={() => {
+                    originalDescRef.current = desc ?? "";
+                    setIsEditingDesc(true);
+                  }}
+                >
+                  <FaPencilAlt className="size-4" />
+                </button>
+              </TooltipTrigger>
+              <TooltipContent>
+                {t("button.edit", { ns: "common" })}
+              </TooltipContent>
+            </Tooltip>
+
+            {config?.cameras[search?.camera].audio_transcription.enabled &&
+              search?.label == "speech" &&
+              search?.end_time &&
+              search?.has_clip && (
+                <Tooltip>
+                  <TooltipTrigger asChild>
+                    <button
+                      aria-label={t("itemMenu.audioTranscription.label")}
+                      className={cn(
+                        "text-primary/40",
+                        audioTranscriptionProcessState === "processing"
+                          ? "cursor-not-allowed"
+                          : "hover:text-primary/80",
+                      )}
+                      onClick={onTranscribe}
+                      disabled={audioTranscriptionProcessState === "processing"}
+                    >
+                      {audioTranscriptionProcessState === "processing" ? (
+                        <ActivityIndicator className="size-4" />
+                      ) : (
+                        <FaMicrophone className="size-4" />
+                      )}
+                    </button>
+                  </TooltipTrigger>
+                  <TooltipContent>
+                    {t("itemMenu.audioTranscription.label")}
+                  </TooltipContent>
+                </Tooltip>
+              )}
+
+            {canRegenerate && (
+              <div className="relative">
+                <DropdownMenu>
+                  <Tooltip>
+                    <TooltipTrigger asChild>
+                      <DropdownMenuTrigger asChild>
+                        <button
+                          aria-label={t("details.button.regenerate.label")}
+                          className="text-primary/40 hover:text-primary/80"
+                        >
+                          <HiSparkles className="size-4" />
+                        </button>
+                      </DropdownMenuTrigger>
+                    </TooltipTrigger>
+                    <TooltipContent>
+                      {t("details.button.regenerate.title")}
+                    </TooltipContent>
+                  </Tooltip>
+                  <DropdownMenuContent>
+                    {search.has_snapshot && (
+                      <DropdownMenuItem
+                        className="cursor-pointer"
+                        aria-label={t("details.regenerateFromSnapshot")}
+                        onClick={() => regenerateDescription("snapshot")}
+                      >
+                        {t("details.regenerateFromSnapshot")}
+                      </DropdownMenuItem>
+                    )}
+                    <DropdownMenuItem
+                      className="cursor-pointer"
+                      aria-label={t("details.regenerateFromThumbnails")}
+                      onClick={() => regenerateDescription("thumbnails")}
+                    >
+                      {t("details.regenerateFromThumbnails")}
+                    </DropdownMenuItem>
+                  </DropdownMenuContent>
+                </DropdownMenu>
+              </div>
+            )}
+          </div>
+        </div>
+
+        {!isEditingDesc ? (
+          showGenAIPlaceholder ? (
+            <div className="flex h-32 flex-col items-center justify-center gap-3 border p-4 text-sm text-primary/40">
+              <div className="flex">
+                <ActivityIndicator />
+              </div>
+              <div className="flex">{t("details.description.aiTips")}</div>
+            </div>
+          ) : (
+            <div className="overflow-auto text-sm text-primary">
+              {desc || t("label.none", { ns: "common" })}
+            </div>
+          )
+        ) : (
+          <div className="flex flex-col gap-2">
+            <Textarea
+              className="text-md h-32 md:text-sm"
+              placeholder={t("details.description.placeholder")}
+              value={desc}
+              onChange={(e) => setDesc(e.target.value)}
+              onFocus={handleDescriptionFocus}
+              onBlur={handleDescriptionBlur}
+              autoFocus
+            />
+            <div className="mb-10 flex flex-row justify-end gap-5">
+              <Tooltip>
+                <TooltipTrigger asChild>
+                  <button
+                    aria-label={t("button.cancel", { ns: "common" })}
+                    className="text-primary/40 hover:text-primary"
+                    onClick={() => {
+                      setIsEditingDesc(false);
+                      setDesc(originalDescRef.current ?? "");
+                    }}
+                  >
+                    <FaTimes className="size-5" />
+                  </button>
+                </TooltipTrigger>
+                <TooltipContent>
+                  {t("button.cancel", { ns: "common" })}
+                </TooltipContent>
+              </Tooltip>
+
+              <Tooltip>
+                <TooltipTrigger asChild>
+                  <button
+                    aria-label={t("button.save", { ns: "common" })}
+                    className="text-primary/40 hover:text-primary/80"
+                    onClick={() => {
+                      setIsEditingDesc(false);
+                      updateDescription();
+                    }}
+                  >
+                    <FaCheck className="size-5" />
+                  </button>
+                </TooltipTrigger>
+                <TooltipContent>
+                  {t("button.save", { ns: "common" })}
+                </TooltipContent>
+              </Tooltip>
+            </div>
+          </div>
+        )}
+
+        <TextEntryDialog
+          open={isSubLabelDialogOpen}
+          setOpen={setIsSubLabelDialogOpen}
+          title={t("details.editSubLabel.title")}
+          description={
+            search.label
+              ? t("details.editSubLabel.desc", {
+                  label: search.label,
+                })
+              : t("details.editSubLabel.descNoLabel")
+          }
+          onSave={handleSubLabelSave}
+          defaultValue={search?.sub_label || ""}
+          allowEmpty={true}
+        />
+        <TextEntryDialog
+          open={isLPRDialogOpen}
+          setOpen={setIsLPRDialogOpen}
+          title={t("details.editLPR.title")}
+          description={
+            search.label
+              ? t("details.editLPR.desc", {
+                  label: search.label,
+                })
+              : t("details.editLPR.descNoLabel")
+          }
+          onSave={handleLPRSave}
+          defaultValue={search?.data.recognized_license_plate || ""}
+          allowEmpty={true}
+        />
+        <AttributeSelectDialog
+          open={isAttributesDialogOpen}
+          setOpen={setIsAttributesDialogOpen}
+          title={t("details.editAttributes.title")}
+          description={t("details.editAttributes.desc", {
+            label: search.label,
+          })}
+          onSave={handleAttributesSave}
+          selectedAttributes={selectedAttributesByModel}
+          modelAttributes={modelAttributes ?? {}}
+        />
+      </div>
+    </div>
+  );
+}
+
+type ObjectSnapshotTabProps = {
+  search: Event;
+  className?: string;
+  onEventUploaded?: () => void;
+};
+export function ObjectSnapshotTab({
+  search,
+  className,
+}: ObjectSnapshotTabProps) {
+  const [imgRef, imgLoaded, onImgLoad] = useImageLoaded();
+
+  return (
+    <div className={cn("relative", isDesktop && "size-full", className)}>
       <ImageLoadingIndicator
         className="absolute inset-0 aspect-video min-h-[60dvh] w-full"
         imgLoaded={imgLoaded}
       />
-      <div className={`${imgLoaded ? "visible" : "invisible"}`}>
+      <div
+        className={cn(
+          "flex size-full items-center",
+          imgLoaded ? "visible" : "invisible",
+        )}
+      >
         <TransformWrapper minScale={1.0} wheel={{ smoothStep: 0.005 }}>
-          <div className="flex flex-col space-y-3">
+          <div className="flex w-full flex-col space-y-3 overflow-hidden">
             <TransformComponent
               wrapperStyle={{
                 width: "100%",
@@ -1126,10 +1825,10 @@ export function ObjectSnapshotTab({
               }}
             >
               {search?.id && (
-                <div className="relative mx-auto">
+                <div className="relative mx-auto flex h-full">
                   <img
                     ref={imgRef}
-                    className={`mx-auto max-h-[60dvh] bg-black object-contain`}
+                    className="mx-auto max-h-[60dvh] rounded-lg bg-background object-contain"
                     src={`${baseUrl}api/events/${search?.id}/snapshot.jpg`}
                     alt={`${search?.label}`}
                     loading={isSafari ? "eager" : "lazy"}
@@ -1137,121 +1836,9 @@ export function ObjectSnapshotTab({
                       onImgLoad();
                     }}
                   />
-                  <div
-                    className={cn(
-                      "absolute right-1 top-1 flex items-center gap-2",
-                    )}
-                  >
-                    <Tooltip>
-                      <TooltipTrigger asChild>
-                        <a
-                          href={`${baseUrl}api/events/${search?.id}/snapshot.jpg?bbox=1`}
-                          download={`${search?.camera}_${search?.label}.jpg`}
-                        >
-                          <Chip className="cursor-pointer rounded-md bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500">
-                            <FaDownload className="size-4 text-white" />
-                          </Chip>
-                        </a>
-                      </TooltipTrigger>
-                      <TooltipPortal>
-                        <TooltipContent>
-                          {t("button.download", { ns: "common" })}
-                        </TooltipContent>
-                      </TooltipPortal>
-                    </Tooltip>
-                  </div>
                 </div>
               )}
             </TransformComponent>
-            {search.data.type == "object" &&
-              search.plus_id !== "not_enabled" &&
-              search.end_time &&
-              search.label != "on_demand" && (
-                <Card className="p-1 text-sm md:p-2">
-                  <CardContent className="flex flex-col items-center justify-between gap-3 p-2 md:flex-row">
-                    <div className={cn("flex flex-col space-y-3")}>
-                      <div className={"text-lg leading-none"}>
-                        {t("explore.plus.submitToPlus.label")}
-                      </div>
-                      <div className="text-sm text-muted-foreground">
-                        {t("explore.plus.submitToPlus.desc")}
-                      </div>
-                    </div>
-
-                    <div className="flex w-full flex-1 flex-col justify-center gap-2 md:ml-8 md:w-auto md:justify-end">
-                      {state == "reviewing" && (
-                        <>
-                          <div>
-                            {i18n.language === "en" ? (
-                              // English with a/an logic plus label
-                              <>
-                                {/^[aeiou]/i.test(search?.label || "") ? (
-                                  <Trans
-                                    ns="components/dialog"
-                                    values={{ label: search?.label }}
-                                  >
-                                    explore.plus.review.question.ask_an
-                                  </Trans>
-                                ) : (
-                                  <Trans
-                                    ns="components/dialog"
-                                    values={{ label: search?.label }}
-                                  >
-                                    explore.plus.review.question.ask_a
-                                  </Trans>
-                                )}
-                              </>
-                            ) : (
-                              // For other languages
-                              <Trans
-                                ns="components/dialog"
-                                values={{
-                                  untranslatedLabel: search?.label,
-                                  translatedLabel: getTranslatedLabel(
-                                    search?.label,
-                                  ),
-                                }}
-                              >
-                                explore.plus.review.question.ask_full
-                              </Trans>
-                            )}
-                          </div>
-                          <div className="flex w-full flex-row gap-2">
-                            <Button
-                              className="flex-1 bg-success"
-                              aria-label={t("button.yes", { ns: "common" })}
-                              onClick={() => {
-                                setState("uploading");
-                                onSubmitToPlus(false);
-                              }}
-                            >
-                              {t("button.yes", { ns: "common" })}
-                            </Button>
-                            <Button
-                              className="flex-1 text-white"
-                              aria-label={t("button.no", { ns: "common" })}
-                              variant="destructive"
-                              onClick={() => {
-                                setState("uploading");
-                                onSubmitToPlus(true);
-                              }}
-                            >
-                              {t("button.no", { ns: "common" })}
-                            </Button>
-                          </div>
-                        </>
-                      )}
-                      {state == "uploading" && <ActivityIndicator />}
-                      {state == "submitted" && (
-                        <div className="flex flex-row items-center justify-center gap-2">
-                          <FaCheckCircle className="text-success" />
-                          {t("explore.plus.review.state.submitted")}
-                        </div>
-                      )}
-                    </div>
-                  </CardContent>
-                </Card>
-              )}
           </div>
         </TransformWrapper>
       </div>
@@ -1264,12 +1851,6 @@ type VideoTabProps = {
 };
 
 export function VideoTab({ search }: VideoTabProps) {
-  const { t } = useTranslation(["views/explore"]);
-  const navigate = useNavigate();
-  const { data: reviewItem } = useSWR<ReviewSegment>([
-    `review/event/${search.id}`,
-  ]);
-
   const clipTimeRange = useMemo(() => {
     const startTime = search.start_time - REVIEW_PADDING;
     const endTime = (search.end_time ?? Date.now() / 1000) + REVIEW_PADDING;
@@ -1281,56 +1862,7 @@ export function VideoTab({ search }: VideoTabProps) {
   return (
     <>
       <span tabIndex={0} className="sr-only" />
-      <GenericVideoPlayer source={source}>
-        <div
-          className={cn(
-            "absolute top-2 z-10 flex items-center gap-2",
-            isIOS ? "right-8" : "right-2",
-          )}
-        >
-          {reviewItem && (
-            <Tooltip>
-              <TooltipTrigger>
-                <Chip
-                  className="cursor-pointer rounded-md bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500"
-                  onClick={() => {
-                    if (reviewItem?.id) {
-                      const params = new URLSearchParams({
-                        id: reviewItem.id,
-                      }).toString();
-                      navigate(`/review?${params}`);
-                    }
-                  }}
-                >
-                  <FaHistory className="size-4 text-white" />
-                </Chip>
-              </TooltipTrigger>
-              <TooltipPortal>
-                <TooltipContent>
-                  {t("itemMenu.viewInHistory.label")}
-                </TooltipContent>
-              </TooltipPortal>
-            </Tooltip>
-          )}
-          <Tooltip>
-            <TooltipTrigger asChild>
-              <a
-                download
-                href={`${baseUrl}api/${search.camera}/${clipTimeRange}/clip.mp4`}
-              >
-                <Chip className="cursor-pointer rounded-md bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500">
-                  <FaDownload className="size-4 text-white" />
-                </Chip>
-              </a>
-            </TooltipTrigger>
-            <TooltipPortal>
-              <TooltipContent>
-                {t("button.download", { ns: "common" })}
-              </TooltipContent>
-            </TooltipPortal>
-          </Tooltip>
-        </div>
-      </GenericVideoPlayer>
+      <GenericVideoPlayer source={source} />
     </>
   );
 }
diff --git a/web/src/components/overlay/detail/TrackingDetails.tsx b/web/src/components/overlay/detail/TrackingDetails.tsx
new file mode 100644
index 000000000..03b6dd6c4
--- /dev/null
+++ b/web/src/components/overlay/detail/TrackingDetails.tsx
@@ -0,0 +1,1078 @@
+import useSWR from "swr";
+import { useCallback, useEffect, useMemo, useRef, useState } from "react";
+import { useResizeObserver } from "@/hooks/resize-observer";
+import { Event } from "@/types/event";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
+import { TrackingDetailsSequence } from "@/types/timeline";
+import { FrigateConfig } from "@/types/frigateConfig";
+import { formatUnixTimestampToDateTime } from "@/utils/dateUtil";
+import { getIconForLabel } from "@/utils/iconUtil";
+import { LuCircle, LuFolderX } from "react-icons/lu";
+import { cn } from "@/lib/utils";
+import HlsVideoPlayer from "@/components/player/HlsVideoPlayer";
+import { baseUrl } from "@/api/baseUrl";
+import { REVIEW_PADDING } from "@/types/review";
+import {
+  ASPECT_PORTRAIT_LAYOUT,
+  ASPECT_WIDE_LAYOUT,
+  Recording,
+} from "@/types/record";
+import {
+  DropdownMenu,
+  DropdownMenuTrigger,
+  DropdownMenuContent,
+  DropdownMenuItem,
+  DropdownMenuPortal,
+} from "@/components/ui/dropdown-menu";
+import { Link, useNavigate } from "react-router-dom";
+import { getLifecycleItemDescription } from "@/utils/lifecycleUtil";
+import { useTranslation } from "react-i18next";
+import { getTranslatedLabel } from "@/utils/i18n";
+import { resolveZoneName } from "@/hooks/use-zone-friendly-name";
+import { Badge } from "@/components/ui/badge";
+import { HiDotsHorizontal } from "react-icons/hi";
+import axios from "axios";
+import { toast } from "sonner";
+import { useDetailStream } from "@/context/detail-stream-context";
+import { isDesktop, isIOS, isMobileOnly, isSafari } from "react-device-detect";
+import { useApiHost } from "@/api";
+import ImageLoadingIndicator from "@/components/indicators/ImageLoadingIndicator";
+import ObjectTrackOverlay from "../ObjectTrackOverlay";
+import { useIsAdmin } from "@/hooks/use-is-admin";
+import { VideoResolutionType } from "@/types/live";
+
+type TrackingDetailsProps = {
+  className?: string;
+  event: Event;
+  fullscreen?: boolean;
+  tabs?: React.ReactNode;
+};
+
+export function TrackingDetails({
+  className,
+  event,
+  tabs,
+}: TrackingDetailsProps) {
+  const videoRef = useRef<HTMLVideoElement | null>(null);
+  const { t } = useTranslation(["views/explore"]);
+  const apiHost = useApiHost();
+  const imgRef = useRef<HTMLImageElement | null>(null);
+  const [imgLoaded, setImgLoaded] = useState(false);
+  const [isVideoLoading, setIsVideoLoading] = useState(true);
+  const [displaySource, _setDisplaySource] = useState<"video" | "image">(
+    "video",
+  );
+  const { setSelectedObjectIds, annotationOffset } = useDetailStream();
+
+  // manualOverride holds a record-stream timestamp explicitly chosen by the
+  // user (eg, clicking a lifecycle row). When null we display `currentTime`.
+  const [manualOverride, setManualOverride] = useState<number | null>(null);
+
+  // event.start_time is detect time, convert to record, then subtract padding
+  const [currentTime, setCurrentTime] = useState(
+    (event.start_time ?? 0) + annotationOffset / 1000 - REVIEW_PADDING,
+  );
+
+  useEffect(() => {
+    setIsVideoLoading(true);
+  }, [event.id]);
+
+  const { data: eventSequence } = useSWR<TrackingDetailsSequence[]>(
+    ["timeline", { source_id: event.id }],
+    null,
+    {
+      revalidateOnFocus: false,
+      revalidateOnReconnect: false,
+      dedupingInterval: 30000,
+    },
+  );
+
+  const { data: config } = useSWR<FrigateConfig>("config");
+
+  // Fetch recording segments for the event's time range to handle motion-only gaps
+  const eventStartRecord = useMemo(
+    () => (event.start_time ?? 0) + annotationOffset / 1000,
+    [event.start_time, annotationOffset],
+  );
+  const eventEndRecord = useMemo(
+    () => (event.end_time ?? Date.now() / 1000) + annotationOffset / 1000,
+    [event.end_time, annotationOffset],
+  );
+
+  const { data: recordings } = useSWR<Recording[]>(
+    event.camera
+      ? [
+          `${event.camera}/recordings`,
+          {
+            after: eventStartRecord - REVIEW_PADDING,
+            before: eventEndRecord + REVIEW_PADDING,
+          },
+        ]
+      : null,
+    null,
+    {
+      revalidateOnFocus: false,
+      revalidateOnReconnect: false,
+      dedupingInterval: 30000,
+    },
+  );
+
+  // Convert a timeline timestamp to actual video player time, accounting for
+  // motion-only recording gaps. Uses the same algorithm as DynamicVideoController.
+  const timestampToVideoTime = useCallback(
+    (timestamp: number): number => {
+      if (!recordings || recordings.length === 0) {
+        // Fallback to simple calculation if no recordings data
+        return timestamp - (eventStartRecord - REVIEW_PADDING);
+      }
+
+      const videoStartTime = eventStartRecord - REVIEW_PADDING;
+
+      // If timestamp is before video start, return 0
+      if (timestamp < videoStartTime) return 0;
+
+      // Check if timestamp is before the first recording or after the last
+      if (
+        timestamp < recordings[0].start_time ||
+        timestamp > recordings[recordings.length - 1].end_time
+      ) {
+        // No recording available at this timestamp
+        return 0;
+      }
+
+      // Calculate the inpoint offset - the HLS video may start partway through the first segment
+      let inpointOffset = 0;
+      if (
+        videoStartTime > recordings[0].start_time &&
+        videoStartTime < recordings[0].end_time
+      ) {
+        inpointOffset = videoStartTime - recordings[0].start_time;
+      }
+
+      let seekSeconds = 0;
+      for (const segment of recordings) {
+        // Skip segments that end before our timestamp
+        if (segment.end_time <= timestamp) {
+          // Add this segment's duration, but subtract inpoint offset from first segment
+          if (segment === recordings[0]) {
+            seekSeconds += segment.duration - inpointOffset;
+          } else {
+            seekSeconds += segment.duration;
+          }
+        } else if (segment.start_time <= timestamp) {
+          // The timestamp is within this segment
+          if (segment === recordings[0]) {
+            // For the first segment, account for the inpoint offset
+            seekSeconds +=
+              timestamp - Math.max(segment.start_time, videoStartTime);
+          } else {
+            seekSeconds += timestamp - segment.start_time;
+          }
+          break;
+        }
+      }
+
+      return seekSeconds;
+    },
+    [recordings, eventStartRecord],
+  );
+
+  // Convert video player time back to timeline timestamp, accounting for
+  // motion-only recording gaps. Reverse of timestampToVideoTime.
+  const videoTimeToTimestamp = useCallback(
+    (playerTime: number): number => {
+      if (!recordings || recordings.length === 0) {
+        // Fallback to simple calculation if no recordings data
+        const videoStartTime = eventStartRecord - REVIEW_PADDING;
+        return playerTime + videoStartTime;
+      }
+
+      const videoStartTime = eventStartRecord - REVIEW_PADDING;
+
+      // Calculate the inpoint offset - the video may start partway through the first segment
+      let inpointOffset = 0;
+      if (
+        videoStartTime > recordings[0].start_time &&
+        videoStartTime < recordings[0].end_time
+      ) {
+        inpointOffset = videoStartTime - recordings[0].start_time;
+      }
+
+      let timestamp = 0;
+      let totalTime = 0;
+
+      for (const segment of recordings) {
+        const segmentDuration =
+          segment === recordings[0]
+            ? segment.duration - inpointOffset
+            : segment.duration;
+
+        if (totalTime + segmentDuration > playerTime) {
+          // The player time is within this segment
+          if (segment === recordings[0]) {
+            // For the first segment, add the inpoint offset
+            timestamp =
+              Math.max(segment.start_time, videoStartTime) +
+              (playerTime - totalTime);
+          } else {
+            timestamp = segment.start_time + (playerTime - totalTime);
+          }
+          break;
+        } else {
+          totalTime += segmentDuration;
+        }
+      }
+
+      return timestamp;
+    },
+    [recordings, eventStartRecord],
+  );
+
+  eventSequence?.map((event) => {
+    event.data.zones_friendly_names = event.data?.zones?.map((zone) => {
+      return resolveZoneName(config, zone);
+    });
+  });
+
+  // Use manualOverride (set when seeking in image mode) if present so
+  // lifecycle rows and overlays follow image-mode seeks. Otherwise fall
+  // back to currentTime used for video mode.
+  const effectiveTime = useMemo(() => {
+    const displayedRecordTime = manualOverride ?? currentTime;
+    return displayedRecordTime - annotationOffset / 1000;
+  }, [manualOverride, currentTime, annotationOffset]);
+
+  const containerRef = useRef<HTMLDivElement | null>(null);
+  const timelineContainerRef = useRef<HTMLDivElement | null>(null);
+  const rowRefs = useRef<(HTMLDivElement | null)[]>([]);
+  const [_selectedZone, setSelectedZone] = useState("");
+  const [_lifecycleZones, setLifecycleZones] = useState<string[]>([]);
+  const [seekToTimestamp, setSeekToTimestamp] = useState<number | null>(null);
+  const [lineBottomOffsetPx, setLineBottomOffsetPx] = useState<number>(32);
+  const [lineTopOffsetPx, setLineTopOffsetPx] = useState<number>(8);
+  const [blueLineHeightPx, setBlueLineHeightPx] = useState<number>(0);
+
+  const [timelineSize] = useResizeObserver(timelineContainerRef);
+
+  const [fullResolution, setFullResolution] = useState<VideoResolutionType>({
+    width: 0,
+    height: 0,
+  });
+
+  const aspectRatio = useMemo(() => {
+    if (!config) {
+      return 16 / 9;
+    }
+
+    if (fullResolution.width && fullResolution.height) {
+      return fullResolution.width / fullResolution.height;
+    }
+
+    return (
+      config.cameras[event.camera].detect.width /
+      config.cameras[event.camera].detect.height
+    );
+  }, [config, event, fullResolution]);
+
+  const label = event.sub_label
+    ? event.sub_label
+    : getTranslatedLabel(event.label, event.data.type);
+
+  const getZoneColor = useCallback(
+    (zoneName: string) => {
+      const zoneColor =
+        config?.cameras?.[event.camera]?.zones?.[zoneName]?.color;
+      if (zoneColor) {
+        const reversed = [...zoneColor].reverse();
+        return reversed;
+      }
+    },
+    [config, event],
+  );
+
+  // Set the selected object ID in the context so ObjectTrackOverlay can display it
+  useEffect(() => {
+    setSelectedObjectIds([event.id]);
+  }, [event.id, setSelectedObjectIds]);
+
+  const handleLifecycleClick = useCallback(
+    (item: TrackingDetailsSequence) => {
+      if (!videoRef.current && !imgRef.current) return;
+
+      // Convert lifecycle timestamp (detect stream) to record stream time
+      const targetTimeRecord = item.timestamp + annotationOffset / 1000;
+
+      if (displaySource === "image") {
+        // For image mode: set a manual override timestamp and update
+        // currentTime so overlays render correctly.
+        setManualOverride(targetTimeRecord);
+        setCurrentTime(targetTimeRecord);
+        return;
+      }
+
+      // For video mode: convert to video-relative time (accounting for motion-only gaps)
+      const relativeTime = timestampToVideoTime(targetTimeRecord);
+
+      if (videoRef.current) {
+        videoRef.current.currentTime = relativeTime;
+      }
+    },
+    [annotationOffset, displaySource, timestampToVideoTime],
+  );
+
+  const formattedStart = config
+    ? formatUnixTimestampToDateTime(event.start_time ?? 0, {
+        timezone: config.ui.timezone,
+        date_format:
+          config.ui.time_format == "24hour"
+            ? t("time.formattedTimestamp.24hour", {
+                ns: "common",
+              })
+            : t("time.formattedTimestamp.12hour", {
+                ns: "common",
+              }),
+        time_style: "medium",
+        date_style: "medium",
+      })
+    : "";
+
+  const formattedEnd =
+    config && event.end_time != null
+      ? formatUnixTimestampToDateTime(event.end_time, {
+          timezone: config.ui.timezone,
+          date_format:
+            config.ui.time_format == "24hour"
+              ? t("time.formattedTimestamp.24hour", {
+                  ns: "common",
+                })
+              : t("time.formattedTimestamp.12hour", {
+                  ns: "common",
+                }),
+          time_style: "medium",
+          date_style: "medium",
+        })
+      : "";
+
+  useEffect(() => {
+    if (!eventSequence || eventSequence.length === 0) return;
+    setLifecycleZones(eventSequence[0]?.data.zones);
+  }, [eventSequence]);
+
+  useEffect(() => {
+    if (seekToTimestamp === null) return;
+
+    if (displaySource === "image") {
+      // For image mode, set the manual override so the snapshot updates to
+      // the exact record timestamp.
+      setManualOverride(seekToTimestamp);
+      setSeekToTimestamp(null);
+      return;
+    }
+
+    // seekToTimestamp is a record stream timestamp
+    // Convert to video position (accounting for motion-only recording gaps)
+    if (!videoRef.current) return;
+    const relativeTime = timestampToVideoTime(seekToTimestamp);
+    if (relativeTime >= 0) {
+      videoRef.current.currentTime = relativeTime;
+    }
+    setSeekToTimestamp(null);
+  }, [seekToTimestamp, displaySource, timestampToVideoTime]);
+
+  const isWithinEventRange = useMemo(() => {
+    if (effectiveTime === undefined || event.start_time === undefined) {
+      return false;
+    }
+    // If an event has not ended yet, fall back to last timestamp in eventSequence
+    let eventEnd = event.end_time;
+    if (eventEnd == null && eventSequence && eventSequence.length > 0) {
+      const last = eventSequence[eventSequence.length - 1];
+      if (last && last.timestamp !== undefined) {
+        eventEnd = last.timestamp;
+      }
+    }
+
+    if (eventEnd == null) {
+      return false;
+    }
+    return effectiveTime >= event.start_time && effectiveTime <= eventEnd;
+  }, [effectiveTime, event.start_time, event.end_time, eventSequence]);
+
+  // Dynamically compute pixel offsets so the timeline line starts at the
+  // first row midpoint and ends at the last row midpoint. For accuracy,
+  // measure the center Y of each lifecycle row and interpolate the current
+  // effective time into a pixel position; then set the blue line height
+  // so it reaches the center dot at the same time the dot becomes active.
+  useEffect(() => {
+    if (!timelineContainerRef.current || !eventSequence) return;
+
+    const containerRect = timelineContainerRef.current.getBoundingClientRect();
+    const validRefs = rowRefs.current.filter((r) => r !== null);
+    if (validRefs.length === 0) return;
+
+    const centers = validRefs.map((n) => {
+      const r = n.getBoundingClientRect();
+      return r.top + r.height / 2 - containerRect.top;
+    });
+
+    const topOffset = Math.max(0, centers[0]);
+    const bottomOffset = Math.max(
+      0,
+      containerRect.height - centers[centers.length - 1],
+    );
+
+    setLineTopOffsetPx(Math.round(topOffset));
+    setLineBottomOffsetPx(Math.round(bottomOffset));
+
+    const eff = effectiveTime ?? 0;
+    const timestamps = eventSequence.map((s) => s.timestamp ?? 0);
+
+    let pixelPos = centers[0];
+    if (eff <= timestamps[0]) {
+      pixelPos = centers[0];
+    } else if (eff >= timestamps[timestamps.length - 1]) {
+      pixelPos = centers[centers.length - 1];
+    } else {
+      for (let i = 0; i < timestamps.length - 1; i++) {
+        const t1 = timestamps[i];
+        const t2 = timestamps[i + 1];
+        if (eff >= t1 && eff <= t2) {
+          const ratio = t2 > t1 ? (eff - t1) / (t2 - t1) : 0;
+          pixelPos = centers[i] + ratio * (centers[i + 1] - centers[i]);
+          break;
+        }
+      }
+    }
+
+    const bluePx = Math.round(Math.max(0, pixelPos - topOffset));
+    setBlueLineHeightPx(bluePx);
+  }, [eventSequence, timelineSize.width, timelineSize.height, effectiveTime]);
+
+  const videoSource = useMemo(() => {
+    // event.start_time and event.end_time are in DETECT stream time
+    // Convert to record stream time, then create video clip with padding
+    const eventStartRecord = event.start_time + annotationOffset / 1000;
+    const eventEndRecord =
+      (event.end_time ?? Date.now() / 1000) + annotationOffset / 1000;
+    const startTime = eventStartRecord - REVIEW_PADDING;
+    const endTime = eventEndRecord + REVIEW_PADDING;
+    const playlist = `${baseUrl}vod/clip/${event.camera}/start/${startTime}/end/${endTime}/index.m3u8`;
+
+    return {
+      playlist,
+      startPosition: 0,
+    };
+  }, [event, annotationOffset]);
+
+  // Determine camera aspect ratio category
+  const cameraAspect = useMemo(() => {
+    if (!aspectRatio) {
+      return "normal";
+    } else if (aspectRatio > ASPECT_WIDE_LAYOUT) {
+      return "wide";
+    } else if (aspectRatio < ASPECT_PORTRAIT_LAYOUT) {
+      return "tall";
+    } else {
+      return "normal";
+    }
+  }, [aspectRatio]);
+
+  const handleSeekToTime = useCallback((timestamp: number, _play?: boolean) => {
+    // Set the target timestamp to seek to
+    setSeekToTimestamp(timestamp);
+  }, []);
+
+  const handleTimeUpdate = useCallback(
+    (time: number) => {
+      // Convert video player time back to timeline timestamp
+      // accounting for motion-only recording gaps
+      const absoluteTime = videoTimeToTimestamp(time);
+
+      setCurrentTime(absoluteTime);
+    },
+    [videoTimeToTimestamp],
+  );
+
+  const [src, setSrc] = useState(
+    `${apiHost}api/${event.camera}/recordings/${currentTime + REVIEW_PADDING}/snapshot.jpg?height=500`,
+  );
+  const [hasError, setHasError] = useState(false);
+
+  // Derive the record timestamp to display: manualOverride if present,
+  // otherwise use currentTime.
+  const displayedRecordTime = manualOverride ?? currentTime;
+
+  useEffect(() => {
+    if (displayedRecordTime) {
+      const newSrc = `${apiHost}api/${event.camera}/recordings/${displayedRecordTime}/snapshot.jpg?height=500`;
+      setSrc(newSrc);
+    }
+    setImgLoaded(false);
+    setHasError(false);
+
+    // we know that these deps are correct
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [displayedRecordTime]);
+
+  const onUploadFrameToPlus = useCallback(() => {
+    return axios.post(`/${event.camera}/plus/${currentTime}`);
+  }, [event.camera, currentTime]);
+
+  if (!config) {
+    return <ActivityIndicator />;
+  }
+
+  return (
+    <div
+      className={cn(
+        isDesktop
+          ? "flex size-full justify-evenly gap-4 overflow-hidden"
+          : "flex flex-col gap-2",
+        !isDesktop && cameraAspect === "tall" && "size-full",
+        className,
+      )}
+    >
+      <span tabIndex={0} className="sr-only" />
+
+      <div
+        className={cn(
+          "flex items-start justify-center",
+          isDesktop && "overflow-hidden",
+          cameraAspect === "tall" ? "max-h-[50dvh] lg:max-h-[70dvh]" : "w-full",
+          cameraAspect === "tall" && isMobileOnly && "w-full",
+          cameraAspect !== "tall" && isDesktop && "flex-[3]",
+        )}
+        style={{ aspectRatio: aspectRatio }}
+        ref={containerRef}
+      >
+        <div
+          className={cn(
+            "relative",
+            cameraAspect === "tall" ? "h-full" : "w-full",
+          )}
+        >
+          {displaySource == "video" && (
+            <>
+              <HlsVideoPlayer
+                videoRef={videoRef}
+                containerRef={containerRef}
+                visible={true}
+                currentSource={videoSource}
+                hotKeys={false}
+                supportsFullscreen={false}
+                fullscreen={false}
+                frigateControls={true}
+                onTimeUpdate={handleTimeUpdate}
+                onSeekToTime={handleSeekToTime}
+                onUploadFrame={onUploadFrameToPlus}
+                onPlaying={() => setIsVideoLoading(false)}
+                setFullResolution={setFullResolution}
+                isDetailMode={true}
+                camera={event.camera}
+                currentTimeOverride={currentTime}
+              />
+              {isVideoLoading && (
+                <ActivityIndicator className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2" />
+              )}
+            </>
+          )}
+          {displaySource == "image" && (
+            <>
+              <ImageLoadingIndicator
+                className="absolute inset-0"
+                imgLoaded={imgLoaded}
+              />
+              {hasError && (
+                <div className="relative aspect-video">
+                  <div className="flex flex-col items-center justify-center p-20 text-center">
+                    <LuFolderX className="size-16" />
+                    {t("objectLifecycle.noImageFound")}
+                  </div>
+                </div>
+              )}
+              <div
+                className={cn("relative", imgLoaded ? "visible" : "invisible")}
+              >
+                <div className="absolute z-50 size-full">
+                  <ObjectTrackOverlay
+                    key={`overlay-${displayedRecordTime}`}
+                    camera={event.camera}
+                    showBoundingBoxes={true}
+                    currentTime={displayedRecordTime}
+                    videoWidth={imgRef?.current?.naturalWidth ?? 0}
+                    videoHeight={imgRef?.current?.naturalHeight ?? 0}
+                    className="absolute inset-0 z-10"
+                    onSeekToTime={handleSeekToTime}
+                  />
+                </div>
+                <img
+                  key={event.id}
+                  ref={imgRef}
+                  className={cn(
+                    "max-h-[50dvh] max-w-full select-none rounded-lg object-contain",
+                  )}
+                  loading={isSafari ? "eager" : "lazy"}
+                  style={
+                    isIOS
+                      ? {
+                          WebkitUserSelect: "none",
+                          WebkitTouchCallout: "none",
+                        }
+                      : undefined
+                  }
+                  draggable={false}
+                  src={src}
+                  onLoad={() => setImgLoaded(true)}
+                  onError={() => setHasError(true)}
+                />
+              </div>
+            </>
+          )}
+        </div>
+      </div>
+
+      <div
+        className={cn(
+          isDesktop && "justify-start overflow-hidden",
+          aspectRatio > 1 && aspectRatio < ASPECT_PORTRAIT_LAYOUT
+            ? "lg:basis-3/5"
+            : "lg:basis-2/5",
+        )}
+      >
+        {isDesktop && tabs && (
+          <div className="mb-2 flex items-center justify-between">
+            <div className="flex-1">{tabs}</div>
+          </div>
+        )}
+        <div
+          className={cn(
+            isDesktop && "scrollbar-container max-h-[70vh] overflow-y-auto",
+          )}
+        >
+          {config?.cameras[event.camera]?.onvif.autotracking
+            .enabled_in_config && (
+            <div className="mb-4 ml-3 text-sm text-danger">
+              {t("trackingDetails.autoTrackingTips")}
+            </div>
+          )}
+
+          <div className={cn("rounded-md bg-background_alt px-0 py-3 md:px-2")}>
+            <div className="flex w-full items-center justify-between">
+              <div
+                className="flex items-center gap-2 font-medium"
+                onClick={(e) => {
+                  e.stopPropagation();
+                  // event.start_time is detect time, convert to record
+                  handleSeekToTime(
+                    (event.start_time ?? 0) + annotationOffset / 1000,
+                  );
+                }}
+                role="button"
+              >
+                <div
+                  className={cn(
+                    "relative ml-2 rounded-full bg-muted-foreground p-2",
+                  )}
+                >
+                  {getIconForLabel(
+                    event.sub_label ? event.label + "-verified" : event.label,
+                    event.data.type,
+                    "size-4 text-white",
+                  )}
+                </div>
+                <div className="flex items-center gap-2">
+                  <span className="capitalize">{label}</span>
+                  <div className="md:text-md flex items-center text-xs text-secondary-foreground">
+                    {formattedStart ?? ""}
+                    {event.end_time != null ? (
+                      <> - {formattedEnd}</>
+                    ) : (
+                      <div className="inline-block">
+                        <ActivityIndicator className="ml-3 size-4" />
+                      </div>
+                    )}
+                  </div>
+                  {event.data?.recognized_license_plate && (
+                    <>
+                      <span className="text-secondary-foreground">·</span>
+                      <div className="text-sm text-secondary-foreground">
+                        <Link
+                          to={`/explore?recognized_license_plate=${event.data.recognized_license_plate}`}
+                          className="text-sm"
+                        >
+                          {event.data.recognized_license_plate}
+                        </Link>
+                      </div>
+                    </>
+                  )}
+                </div>
+              </div>
+            </div>
+
+            <div className="mt-2">
+              {!eventSequence ? (
+                <ActivityIndicator className="size-2" size={2} />
+              ) : eventSequence.length === 0 ? (
+                <div className="py-2 text-muted-foreground">
+                  {t("detail.noObjectDetailData", { ns: "views/events" })}
+                </div>
+              ) : (
+                <div className="-pb-2 relative mx-0" ref={timelineContainerRef}>
+                  <div
+                    className="absolute -top-2 left-6 z-0 w-0.5 -translate-x-1/2 bg-secondary-foreground"
+                    style={{ bottom: lineBottomOffsetPx }}
+                  />
+                  {isWithinEventRange && (
+                    <div
+                      className="absolute left-6 z-[5] w-0.5 -translate-x-1/2 bg-selected transition-all duration-300"
+                      style={{
+                        top: `${lineTopOffsetPx}px`,
+                        height: `${blueLineHeightPx}px`,
+                      }}
+                    />
+                  )}
+                  <div className="space-y-2">
+                    {eventSequence.map((item, idx) => {
+                      return (
+                        <div
+                          key={`${item.timestamp}-${item.source_id ?? ""}-${idx}`}
+                          ref={(el) => {
+                            rowRefs.current[idx] = el;
+                          }}
+                        >
+                          <LifecycleIconRow
+                            item={item}
+                            event={event}
+                            onClick={() => handleLifecycleClick(item)}
+                            setSelectedZone={setSelectedZone}
+                            getZoneColor={getZoneColor}
+                            effectiveTime={effectiveTime}
+                            isTimelineActive={isWithinEventRange}
+                          />
+                        </div>
+                      );
+                    })}
+                  </div>
+                </div>
+              )}
+            </div>
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+}
+
+type LifecycleIconRowProps = {
+  item: TrackingDetailsSequence;
+  event: Event;
+  onClick: () => void;
+  setSelectedZone: (z: string) => void;
+  getZoneColor: (zoneName: string) => number[] | undefined;
+  effectiveTime?: number;
+  isTimelineActive?: boolean;
+};
+
+function LifecycleIconRow({
+  item,
+  event,
+  onClick,
+  setSelectedZone,
+  getZoneColor,
+  effectiveTime,
+  isTimelineActive,
+}: LifecycleIconRowProps) {
+  const { t } = useTranslation(["views/explore", "components/player"]);
+  const { data: config } = useSWR<FrigateConfig>("config");
+  const [isOpen, setIsOpen] = useState(false);
+  const navigate = useNavigate();
+  const isAdmin = useIsAdmin();
+
+  const aspectRatio = useMemo(() => {
+    if (!config) {
+      return 16 / 9;
+    }
+
+    return (
+      config.cameras[event.camera].detect.width /
+      config.cameras[event.camera].detect.height
+    );
+  }, [config, event]);
+
+  const isActive = useMemo(
+    () => Math.abs((effectiveTime ?? 0) - (item.timestamp ?? 0)) <= 0.5,
+    [effectiveTime, item.timestamp],
+  );
+
+  const formattedEventTimestamp = useMemo(
+    () =>
+      config
+        ? formatUnixTimestampToDateTime(item.timestamp ?? 0, {
+            timezone: config.ui.timezone,
+            date_format:
+              config.ui.time_format == "24hour"
+                ? t("time.formattedTimestampHourMinuteSecond.24hour", {
+                    ns: "common",
+                  })
+                : t("time.formattedTimestampHourMinuteSecond.12hour", {
+                    ns: "common",
+                  }),
+            time_style: "medium",
+            date_style: "medium",
+          })
+        : "",
+    [config, item.timestamp, t],
+  );
+
+  const ratio = useMemo(
+    () =>
+      Array.isArray(item.data.box) && item.data.box.length >= 4
+        ? (aspectRatio * (item.data.box[2] / item.data.box[3])).toFixed(2)
+        : "N/A",
+    [aspectRatio, item.data.box],
+  );
+
+  const areaPx = useMemo(
+    () =>
+      Array.isArray(item.data.box) && item.data.box.length >= 4
+        ? Math.round(
+            (config?.cameras[event.camera]?.detect?.width ?? 0) *
+              (config?.cameras[event.camera]?.detect?.height ?? 0) *
+              (item.data.box[2] * item.data.box[3]),
+          )
+        : undefined,
+    [config, event.camera, item.data.box],
+  );
+
+  const attributeAreaPx = useMemo(
+    () =>
+      Array.isArray(item.data.attribute_box) &&
+      item.data.attribute_box.length >= 4
+        ? Math.round(
+            (config?.cameras[event.camera]?.detect?.width ?? 0) *
+              (config?.cameras[event.camera]?.detect?.height ?? 0) *
+              (item.data.attribute_box[2] * item.data.attribute_box[3]),
+          )
+        : undefined,
+    [config, event.camera, item.data.attribute_box],
+  );
+
+  const attributeAreaPct = useMemo(
+    () =>
+      Array.isArray(item.data.attribute_box) &&
+      item.data.attribute_box.length >= 4
+        ? (
+            item.data.attribute_box[2] *
+            item.data.attribute_box[3] *
+            100
+          ).toFixed(2)
+        : undefined,
+    [item.data.attribute_box],
+  );
+
+  const areaPct = useMemo(
+    () =>
+      Array.isArray(item.data.box) && item.data.box.length >= 4
+        ? (item.data.box[2] * item.data.box[3] * 100).toFixed(2)
+        : undefined,
+    [item.data.box],
+  );
+
+  const score = useMemo(() => {
+    if (item.data.score !== undefined) {
+      return (item.data.score * 100).toFixed(0) + "%";
+    }
+    return "N/A";
+  }, [item.data.score]);
+
+  return (
+    <div
+      role="button"
+      onClick={onClick}
+      className={cn(
+        "rounded-md p-2 pr-0 text-sm text-primary-variant",
+        isActive && "bg-secondary-highlight font-semibold text-primary",
+        !isActive && "duration-500",
+      )}
+    >
+      <div className="flex items-center gap-2">
+        <div className="relative ml-2 flex size-4 items-center justify-center">
+          <LuCircle
+            className={cn(
+              "relative z-10 size-2.5 fill-secondary-foreground stroke-none",
+              (isActive || (effectiveTime ?? 0) >= (item?.timestamp ?? 0)) &&
+                isTimelineActive &&
+                "fill-selected duration-300",
+            )}
+          />
+        </div>
+
+        <div className="ml-2 flex w-full min-w-0 flex-1">
+          <div className="flex flex-col">
+            <div className="text-md flex items-start break-words text-left">
+              {getLifecycleItemDescription(item)}
+            </div>
+            {/* Only show Score/Ratio/Area for object events, not for audio (heard) or manual API (external) events */}
+            {item.class_type !== "heard" && item.class_type !== "external" && (
+              <div className="my-2 ml-2 flex flex-col flex-wrap items-start gap-1.5 text-xs text-secondary-foreground">
+                <div className="flex items-center gap-1.5">
+                  <span className="text-primary-variant">
+                    {t("trackingDetails.lifecycleItemDesc.header.score")}
+                  </span>
+                  <span className="font-medium text-primary">{score}</span>
+                </div>
+                <div className="flex items-center gap-1.5">
+                  <span className="text-primary-variant">
+                    {t("trackingDetails.lifecycleItemDesc.header.ratio")}
+                  </span>
+                  <span className="font-medium text-primary">{ratio}</span>
+                </div>
+                <div className="flex items-center gap-1.5">
+                  <span className="text-primary-variant">
+                    {t("trackingDetails.lifecycleItemDesc.header.area")}{" "}
+                    {attributeAreaPx !== undefined &&
+                      attributeAreaPct !== undefined && (
+                        <span className="text-primary-variant">
+                          ({getTranslatedLabel(item.data.label)})
+                        </span>
+                      )}
+                  </span>
+                  {areaPx !== undefined && areaPct !== undefined ? (
+                    <span className="font-medium text-primary">
+                      {t("information.pixels", { ns: "common", area: areaPx })}{" "}
+                      · {areaPct}%
+                    </span>
+                  ) : (
+                    <span>N/A</span>
+                  )}
+                </div>
+                {attributeAreaPx !== undefined &&
+                  attributeAreaPct !== undefined && (
+                    <div className="flex items-center gap-1.5">
+                      <span className="text-primary-variant">
+                        {t("trackingDetails.lifecycleItemDesc.header.area")} (
+                        {getTranslatedLabel(item.data.attribute)})
+                      </span>
+                      <span className="font-medium text-primary">
+                        {t("information.pixels", {
+                          ns: "common",
+                          area: attributeAreaPx,
+                        })}{" "}
+                        · {attributeAreaPct}%
+                      </span>
+                    </div>
+                  )}
+              </div>
+            )}
+
+            {item.data?.zones && item.data.zones.length > 0 && (
+              <div className="mt-1 flex flex-wrap items-center gap-2">
+                {item.data.zones.map((zone, zidx) => {
+                  const color = getZoneColor(zone)?.join(",") ?? "0,0,0";
+                  return (
+                    <Badge
+                      key={`${zone}-${zidx}`}
+                      variant="outline"
+                      className="inline-flex cursor-pointer items-center gap-2"
+                      onClick={(e: React.MouseEvent) => {
+                        e.stopPropagation();
+                        setSelectedZone(zone);
+                      }}
+                      style={{
+                        borderColor: `rgba(${color}, 0.6)`,
+                        background: `rgba(${color}, 0.08)`,
+                      }}
+                    >
+                      <span
+                        className="size-1 rounded-full"
+                        style={{
+                          display: "inline-block",
+                          width: 10,
+                          height: 10,
+                          backgroundColor: `rgb(${color})`,
+                        }}
+                      />
+                      <span
+                        className={cn(
+                          item.data?.zones_friendly_names?.[zidx] === zone &&
+                            "smart-capitalize",
+                        )}
+                      >
+                        {item.data?.zones_friendly_names?.[zidx]}
+                      </span>
+                    </Badge>
+                  );
+                })}
+              </div>
+            )}
+          </div>
+        </div>
+        <div className="ml-3 flex-shrink-0 px-1 text-right text-xs text-primary-variant">
+          <div className="flex flex-row items-center gap-3">
+            <div className="whitespace-nowrap">{formattedEventTimestamp}</div>
+            {isAdmin && config?.plus?.enabled && item.data.box && (
+              <DropdownMenu open={isOpen} onOpenChange={setIsOpen}>
+                <DropdownMenuTrigger>
+                  <div className="rounded p-1 pr-2" role="button">
+                    <HiDotsHorizontal className="size-4 text-muted-foreground" />
+                  </div>
+                </DropdownMenuTrigger>
+                <DropdownMenuPortal>
+                  <DropdownMenuContent>
+                    {isAdmin && config?.plus?.enabled && (
+                      <DropdownMenuItem
+                        className="cursor-pointer"
+                        onSelect={async () => {
+                          const resp = await axios.post(
+                            `/${item.camera}/plus/${item.timestamp}`,
+                          );
+
+                          if (resp && resp.status == 200) {
+                            toast.success(
+                              t("toast.success.submittedFrigatePlus", {
+                                ns: "components/player",
+                              }),
+                              {
+                                position: "top-center",
+                              },
+                            );
+                          } else {
+                            toast.success(
+                              t("toast.error.submitFrigatePlusFailed", {
+                                ns: "components/player",
+                              }),
+                              {
+                                position: "top-center",
+                              },
+                            );
+                          }
+                        }}
+                      >
+                        {t("itemMenu.submitToPlus.label")}
+                      </DropdownMenuItem>
+                    )}
+                    {item.data.box && (
+                      <DropdownMenuItem
+                        className="cursor-pointer"
+                        onSelect={() => {
+                          setIsOpen(false);
+                          setTimeout(() => {
+                            navigate(
+                              `/settings?page=masksAndZones&camera=${item.camera}&object_mask=${item.data.box}`,
+                            );
+                          }, 0);
+                        }}
+                      >
+                        {t("trackingDetails.createObjectMask")}
+                      </DropdownMenuItem>
+                    )}
+                  </DropdownMenuContent>
+                </DropdownMenuPortal>
+              </DropdownMenu>
+            )}
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+}
diff --git a/web/src/components/overlay/dialog/AttributeSelectDialog.tsx b/web/src/components/overlay/dialog/AttributeSelectDialog.tsx
new file mode 100644
index 000000000..b2ddc48ea
--- /dev/null
+++ b/web/src/components/overlay/dialog/AttributeSelectDialog.tsx
@@ -0,0 +1,123 @@
+import { Button } from "@/components/ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import { Label } from "@/components/ui/label";
+import { Switch } from "@/components/ui/switch";
+import { cn } from "@/lib/utils";
+import { useCallback, useEffect, useState } from "react";
+import { isDesktop } from "react-device-detect";
+import { useTranslation } from "react-i18next";
+
+type AttributeSelectDialogProps = {
+  open: boolean;
+  setOpen: (open: boolean) => void;
+  title: string;
+  description: string;
+  onSave: (selectedAttributes: string[]) => void;
+  selectedAttributes: Record<string, string | null>; // model -> selected attribute
+  modelAttributes: Record<string, string[]>; // model -> available attributes
+  className?: string;
+};
+
+export default function AttributeSelectDialog({
+  open,
+  setOpen,
+  title,
+  description,
+  onSave,
+  selectedAttributes,
+  modelAttributes,
+  className,
+}: AttributeSelectDialogProps) {
+  const { t } = useTranslation();
+  const [internalSelection, setInternalSelection] = useState<
+    Record<string, string | null>
+  >({});
+
+  useEffect(() => {
+    if (open) {
+      setInternalSelection({ ...selectedAttributes });
+    }
+  }, [open, selectedAttributes]);
+
+  const handleSave = useCallback(() => {
+    // Convert from model->attribute map to flat list of attributes
+    const attributes = Object.values(internalSelection).filter(
+      (attr): attr is string => attr !== null,
+    );
+    onSave(attributes);
+  }, [internalSelection, onSave]);
+
+  const handleToggle = useCallback((modelName: string, attribute: string) => {
+    setInternalSelection((prev) => {
+      const currentSelection = prev[modelName];
+      // If clicking the currently selected attribute, deselect it
+      if (currentSelection === attribute) {
+        return { ...prev, [modelName]: null };
+      }
+      // Otherwise, select this attribute for this model
+      return { ...prev, [modelName]: attribute };
+    });
+  }, []);
+
+  return (
+    <Dialog open={open} onOpenChange={setOpen}>
+      <DialogContent
+        className={cn(className, isDesktop ? "max-w-md" : "max-w-[90%]")}
+        onOpenAutoFocus={(e) => e.preventDefault()}
+      >
+        <DialogHeader>
+          <DialogTitle>{title}</DialogTitle>
+          <DialogDescription>{description}</DialogDescription>
+        </DialogHeader>
+        <div className="scrollbar-container overflow-y-auto">
+          <div className="max-h-[80dvh] space-y-6 py-2">
+            {Object.entries(modelAttributes).map(([modelName, attributes]) => (
+              <div key={modelName} className="space-y-3">
+                <div className="text-sm font-semibold text-primary-variant">
+                  {modelName}
+                </div>
+                <div className="space-y-2 pl-2">
+                  {attributes.map((attribute) => (
+                    <div
+                      key={attribute}
+                      className="flex items-center justify-between gap-2"
+                    >
+                      <Label
+                        htmlFor={`${modelName}-${attribute}`}
+                        className="cursor-pointer text-sm text-primary"
+                      >
+                        {attribute}
+                      </Label>
+                      <Switch
+                        id={`${modelName}-${attribute}`}
+                        checked={internalSelection[modelName] === attribute}
+                        onCheckedChange={() =>
+                          handleToggle(modelName, attribute)
+                        }
+                      />
+                    </div>
+                  ))}
+                </div>
+              </div>
+            ))}
+          </div>
+        </div>
+        <DialogFooter>
+          <Button type="button" onClick={() => setOpen(false)}>
+            {t("button.cancel")}
+          </Button>
+          <Button variant="select" onClick={handleSave}>
+            {t("button.save", { ns: "common" })}
+          </Button>
+        </DialogFooter>
+      </DialogContent>
+    </Dialog>
+  );
+}
diff --git a/web/src/components/overlay/dialog/FrigatePlusDialog.tsx b/web/src/components/overlay/dialog/FrigatePlusDialog.tsx
index 7eff75335..c011fa14b 100644
--- a/web/src/components/overlay/dialog/FrigatePlusDialog.tsx
+++ b/web/src/components/overlay/dialog/FrigatePlusDialog.tsx
@@ -6,51 +6,202 @@ import {
   DialogTitle,
 } from "@/components/ui/dialog";
 import { Event } from "@/types/event";
-import { isDesktop, isMobile } from "react-device-detect";
-import { ObjectSnapshotTab } from "../detail/SearchDetailDialog";
+import { isDesktop, isMobile, isSafari } from "react-device-detect";
 import { cn } from "@/lib/utils";
+import { useCallback, useEffect, useState } from "react";
+import axios from "axios";
+import { useTranslation, Trans } from "react-i18next";
+import { Button } from "@/components/ui/button";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
+import { FaCheckCircle } from "react-icons/fa";
+import { Card, CardContent } from "@/components/ui/card";
+import { TransformComponent, TransformWrapper } from "react-zoom-pan-pinch";
+import ImageLoadingIndicator from "@/components/indicators/ImageLoadingIndicator";
+import { baseUrl } from "@/api/baseUrl";
+import { getTranslatedLabel } from "@/utils/i18n";
+import useImageLoaded from "@/hooks/use-image-loaded";
+import { useIsAdmin } from "@/hooks/use-is-admin";
 
-type FrigatePlusDialogProps = {
+export type FrigatePlusDialogProps = {
   upload?: Event;
   dialog?: boolean;
   onClose: () => void;
   onEventUploaded: () => void;
 };
+
 export function FrigatePlusDialog({
   upload,
   dialog = true,
   onClose,
   onEventUploaded,
 }: FrigatePlusDialogProps) {
-  if (!upload) {
-    return;
-  }
-  if (dialog) {
-    return (
-      <Dialog
-        open={upload != undefined}
-        onOpenChange={(open) => (!open ? onClose() : null)}
+  const { t, i18n } = useTranslation(["components/dialog"]);
+
+  type SubmissionState = "reviewing" | "uploading" | "submitted";
+  const [state, setState] = useState<SubmissionState>(
+    upload?.plus_id ? "submitted" : "reviewing",
+  );
+  useEffect(() => {
+    setState(upload?.plus_id ? "submitted" : "reviewing");
+  }, [upload?.plus_id]);
+
+  const onSubmitToPlus = useCallback(
+    async (falsePositive: boolean) => {
+      if (!upload) return;
+      falsePositive
+        ? axios.put(`events/${upload.id}/false_positive`)
+        : axios.post(`events/${upload.id}/plus`, { include_annotation: 1 });
+      setState("submitted");
+      onEventUploaded();
+    },
+    [upload, onEventUploaded],
+  );
+
+  const [imgRef, imgLoaded, onImgLoad] = useImageLoaded();
+  const isAdmin = useIsAdmin();
+  const showCard =
+    isAdmin &&
+    !!upload &&
+    upload.data.type === "object" &&
+    upload.plus_id !== "not_enabled" &&
+    upload.end_time &&
+    upload.label !== "on_demand";
+
+  if (!dialog || !upload) return null;
+
+  return (
+    <Dialog open={true} onOpenChange={(open) => (!open ? onClose() : null)}>
+      <DialogContent
+        className={cn(
+          "scrollbar-container overflow-y-auto",
+          isDesktop &&
+            "max-h-[95dvh] sm:max-w-xl md:max-w-4xl lg:max-w-4xl xl:max-w-7xl",
+          isMobile && "px-4",
+        )}
       >
-        <DialogContent
-          className={cn(
-            "scrollbar-container overflow-y-auto",
-            isDesktop &&
-              "max-h-[95dvh] sm:max-w-xl md:max-w-4xl lg:max-w-4xl xl:max-w-7xl",
-            isMobile && "px-4",
-          )}
-        >
-          <DialogHeader>
-            <DialogTitle className="sr-only">Submit to Frigate+</DialogTitle>
-            <DialogDescription className="sr-only">
-              Submit this snapshot to Frigate+
-            </DialogDescription>
-          </DialogHeader>
-          <ObjectSnapshotTab
-            search={upload}
-            onEventUploaded={onEventUploaded}
+        <DialogHeader>
+          <DialogTitle className="sr-only">Submit to Frigate+</DialogTitle>
+          <DialogDescription className="sr-only">
+            Submit this snapshot to Frigate+
+          </DialogDescription>
+        </DialogHeader>
+
+        <div className="relative size-full">
+          <ImageLoadingIndicator
+            className="absolute inset-0 aspect-video min-h-[60dvh] w-full"
+            imgLoaded={imgLoaded}
           />
-        </DialogContent>
-      </Dialog>
-    );
-  }
+          <div className={imgLoaded ? "visible" : "invisible"}>
+            <TransformWrapper minScale={1.0} wheel={{ smoothStep: 0.005 }}>
+              <div className="flex flex-col space-y-3">
+                <TransformComponent
+                  wrapperStyle={{ width: "100%", height: "100%" }}
+                  contentStyle={{
+                    position: "relative",
+                    width: "100%",
+                    height: "100%",
+                  }}
+                >
+                  {upload.id && (
+                    <div className="relative mx-auto">
+                      <img
+                        ref={imgRef}
+                        className="mx-auto max-h-[60dvh] rounded-lg bg-black object-contain"
+                        src={`${baseUrl}api/events/${upload.id}/snapshot.jpg`}
+                        alt={`${upload.label}`}
+                        loading={isSafari ? "eager" : "lazy"}
+                        onLoad={onImgLoad}
+                      />
+                    </div>
+                  )}
+                </TransformComponent>
+
+                {showCard && (
+                  <Card className="p-1 text-sm md:p-2">
+                    <CardContent className="flex flex-col items-center justify-between gap-3 p-2 md:flex-row">
+                      <div className="flex flex-col space-y-3">
+                        <div className="text-lg leading-none">
+                          {t("explore.plus.submitToPlus.label")}
+                        </div>
+                        <div className="text-sm text-muted-foreground">
+                          {t("explore.plus.submitToPlus.desc")}
+                        </div>
+                      </div>
+                      <div className="flex w-full flex-1 flex-col justify-center gap-2 md:ml-8 md:w-auto md:justify-end">
+                        {state === "reviewing" && (
+                          <>
+                            <div>
+                              {i18n.language === "en" ? (
+                                /^[aeiou]/i.test(upload.label || "") ? (
+                                  <Trans
+                                    ns="components/dialog"
+                                    values={{ label: upload.label }}
+                                  >
+                                    explore.plus.review.question.ask_an
+                                  </Trans>
+                                ) : (
+                                  <Trans
+                                    ns="components/dialog"
+                                    values={{ label: upload.label }}
+                                  >
+                                    explore.plus.review.question.ask_a
+                                  </Trans>
+                                )
+                              ) : (
+                                <Trans
+                                  ns="components/dialog"
+                                  values={{
+                                    untranslatedLabel: upload.label,
+                                    translatedLabel: getTranslatedLabel(
+                                      upload.label,
+                                    ),
+                                  }}
+                                >
+                                  explore.plus.review.question.ask_full
+                                </Trans>
+                              )}
+                            </div>
+                            <div className="flex w-full flex-row gap-2">
+                              <Button
+                                className="flex-1 bg-success"
+                                aria-label={t("button.yes", { ns: "common" })}
+                                onClick={() => {
+                                  setState("uploading");
+                                  onSubmitToPlus(false);
+                                }}
+                              >
+                                {t("button.yes", { ns: "common" })}
+                              </Button>
+                              <Button
+                                className="flex-1 text-white"
+                                aria-label={t("button.no", { ns: "common" })}
+                                variant="destructive"
+                                onClick={() => {
+                                  setState("uploading");
+                                  onSubmitToPlus(true);
+                                }}
+                              >
+                                {t("button.no", { ns: "common" })}
+                              </Button>
+                            </div>
+                          </>
+                        )}
+                        {state === "uploading" && <ActivityIndicator />}
+                        {state === "submitted" && (
+                          <div className="flex flex-row items-center justify-center gap-2">
+                            <FaCheckCircle className="size-4 text-success" />
+                            {t("explore.plus.review.state.submitted")}
+                          </div>
+                        )}
+                      </div>
+                    </CardContent>
+                  </Card>
+                )}
+              </div>
+            </TransformWrapper>
+          </div>
+        </div>
+      </DialogContent>
+    </Dialog>
+  );
 }
diff --git a/web/src/components/overlay/dialog/MultiSelectDialog.tsx b/web/src/components/overlay/dialog/MultiSelectDialog.tsx
new file mode 100644
index 000000000..b30ac9cf5
--- /dev/null
+++ b/web/src/components/overlay/dialog/MultiSelectDialog.tsx
@@ -0,0 +1,96 @@
+import { Button } from "@/components/ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import { cn } from "@/lib/utils";
+import { useState } from "react";
+import { isMobile } from "react-device-detect";
+import { useTranslation } from "react-i18next";
+import FilterSwitch from "@/components/filter/FilterSwitch";
+
+type MultiSelectDialogProps = {
+  open: boolean;
+  title: string;
+  description?: string;
+  setOpen: (open: boolean) => void;
+  onSave: (selectedItems: string[]) => void;
+  selectedItems: string[];
+  availableItems: string[];
+  allowEmpty?: boolean;
+};
+
+export default function MultiSelectDialog({
+  open,
+  title,
+  description,
+  setOpen,
+  onSave,
+  selectedItems = [],
+  availableItems = [],
+  allowEmpty = false,
+}: MultiSelectDialogProps) {
+  const { t } = useTranslation("common");
+  const [internalSelection, setInternalSelection] =
+    useState<string[]>(selectedItems);
+
+  // Reset internal selection when dialog opens
+  const handleOpenChange = (isOpen: boolean) => {
+    if (isOpen) {
+      setInternalSelection(selectedItems);
+    }
+    setOpen(isOpen);
+  };
+
+  const toggleItem = (item: string) => {
+    setInternalSelection((prev) =>
+      prev.includes(item) ? prev.filter((i) => i !== item) : [...prev, item],
+    );
+  };
+
+  const handleSave = () => {
+    if (!allowEmpty && internalSelection.length === 0) {
+      return;
+    }
+    onSave(internalSelection);
+    setOpen(false);
+  };
+
+  return (
+    <Dialog open={open} defaultOpen={false} onOpenChange={handleOpenChange}>
+      <DialogContent>
+        <DialogHeader>
+          <DialogTitle>{title}</DialogTitle>
+          {description && <DialogDescription>{description}</DialogDescription>}
+        </DialogHeader>
+        <div className="max-h-[80dvh] space-y-3 overflow-y-auto py-4">
+          {availableItems.map((item) => (
+            <FilterSwitch
+              key={item}
+              label={item}
+              isChecked={internalSelection.includes(item)}
+              onCheckedChange={() => toggleItem(item)}
+            />
+          ))}
+        </div>
+        <DialogFooter className={cn("pt-4", isMobile && "gap-2")}>
+          <Button type="button" onClick={() => setOpen(false)}>
+            {t("button.cancel")}
+          </Button>
+          <Button
+            variant="select"
+            type="button"
+            onClick={handleSave}
+            disabled={!allowEmpty && internalSelection.length === 0}
+          >
+            {t("button.save")}
+          </Button>
+        </DialogFooter>
+      </DialogContent>
+    </Dialog>
+  );
+}
diff --git a/web/src/components/overlay/dialog/PlatformAwareDialog.tsx b/web/src/components/overlay/dialog/PlatformAwareDialog.tsx
index ad03ba7eb..5782ba149 100644
--- a/web/src/components/overlay/dialog/PlatformAwareDialog.tsx
+++ b/web/src/components/overlay/dialog/PlatformAwareDialog.tsx
@@ -20,7 +20,9 @@ import {
   SheetTitle,
   SheetTrigger,
 } from "@/components/ui/sheet";
+import { cn } from "@/lib/utils";
 import { isMobile } from "react-device-detect";
+import { useRef } from "react";
 
 type PlatformAwareDialogProps = {
   trigger: JSX.Element;
@@ -42,8 +44,8 @@ export default function PlatformAwareDialog({
     return (
       <Drawer open={open} onOpenChange={onOpenChange}>
         <DrawerTrigger asChild>{trigger}</DrawerTrigger>
-        <DrawerContent className="max-h-[75dvh] overflow-hidden px-4">
-          {content}
+        <DrawerContent className="max-h-[75dvh] overflow-hidden">
+          <div className={contentClassName}>{content}</div>
         </DrawerContent>
       </Drawer>
     );
@@ -79,6 +81,8 @@ export function PlatformAwareSheet({
   open,
   onOpenChange,
 }: PlatformAwareSheetProps) {
+  const scrollerRef = useRef<HTMLDivElement>(null);
+
   if (isMobile) {
     return (
       <MobilePage open={open} onOpenChange={onOpenChange}>
@@ -86,14 +90,22 @@ export function PlatformAwareSheet({
           {trigger}
         </MobilePageTrigger>
         <MobilePagePortal>
-          <MobilePageContent className="h-full overflow-hidden">
+          <MobilePageContent
+            className="flex h-full flex-col"
+            scrollerRef={scrollerRef}
+          >
             <MobilePageHeader
               className="mx-2"
               onClose={() => onOpenChange(false)}
             >
               <MobilePageTitle>{title}</MobilePageTitle>
             </MobilePageHeader>
-            <div className={contentClassName}>{content}</div>
+            <div
+              ref={scrollerRef}
+              className={cn("flex-1 overflow-y-auto", contentClassName)}
+            >
+              {content}
+            </div>
           </MobilePageContent>
         </MobilePagePortal>
       </MobilePage>
@@ -101,7 +113,12 @@ export function PlatformAwareSheet({
   }
 
   return (
-    <Sheet open={open} onOpenChange={onOpenChange} modal={false}>
+    <Sheet
+      open={open}
+      onOpenChange={onOpenChange}
+      modal={false}
+      enableHistoryBack
+    >
       <SheetTrigger asChild className={triggerClassName}>
         {trigger}
       </SheetTrigger>
diff --git a/web/src/components/overlay/dialog/RestartDialog.tsx b/web/src/components/overlay/dialog/RestartDialog.tsx
index a8085c92c..6d269b7cb 100644
--- a/web/src/components/overlay/dialog/RestartDialog.tsx
+++ b/web/src/components/overlay/dialog/RestartDialog.tsx
@@ -98,7 +98,11 @@ export default function RestartDialog({
         open={restartingSheetOpen}
         onOpenChange={() => setRestartingSheetOpen(false)}
       >
-        <SheetContent side="top" onInteractOutside={(e) => e.preventDefault()}>
+        <SheetContent
+          side="top"
+          onInteractOutside={(e) => e.preventDefault()}
+          className="[&>button:first-of-type]:hidden"
+        >
           <div className="flex flex-col items-center">
             <ActivityIndicator />
             <SheetHeader className="mt-5 text-center">
diff --git a/web/src/components/overlay/dialog/SearchFilterDialog.tsx b/web/src/components/overlay/dialog/SearchFilterDialog.tsx
index dcee85523..eb1188257 100644
--- a/web/src/components/overlay/dialog/SearchFilterDialog.tsx
+++ b/web/src/components/overlay/dialog/SearchFilterDialog.tsx
@@ -65,6 +65,13 @@ export default function SearchFilterDialog({
   const { t } = useTranslation(["components/filter"]);
   const [currentFilter, setCurrentFilter] = useState(filter ?? {});
   const { data: allSubLabels } = useSWR(["sub_labels", { split_joined: 1 }]);
+  const hasCustomClassificationModels = useMemo(
+    () => Object.keys(config?.classification?.custom ?? {}).length > 0,
+    [config],
+  );
+  const { data: allAttributes } = useSWR(
+    hasCustomClassificationModels ? "classification/attributes" : null,
+  );
   const { data: allRecognizedLicensePlates } = useSWR<string[]>(
     "recognized_license_plates",
   );
@@ -91,8 +98,10 @@ export default function SearchFilterDialog({
         (currentFilter.max_speed ?? 150) < 150 ||
         (currentFilter.zones?.length ?? 0) > 0 ||
         (currentFilter.sub_labels?.length ?? 0) > 0 ||
+        (hasCustomClassificationModels &&
+          (currentFilter.attributes?.length ?? 0) > 0) ||
         (currentFilter.recognized_license_plate?.length ?? 0) > 0),
-    [currentFilter],
+    [currentFilter, hasCustomClassificationModels],
   );
 
   const trigger = (
@@ -133,6 +142,15 @@ export default function SearchFilterDialog({
           setCurrentFilter({ ...currentFilter, sub_labels: newSubLabels })
         }
       />
+      {hasCustomClassificationModels && (
+        <AttributeFilterContent
+          allAttributes={allAttributes}
+          attributes={currentFilter.attributes}
+          setAttributes={(newAttributes) =>
+            setCurrentFilter({ ...currentFilter, attributes: newAttributes })
+          }
+        />
+      )}
       <RecognizedLicensePlatesFilterContent
         allRecognizedLicensePlates={allRecognizedLicensePlates}
         recognizedLicensePlates={currentFilter.recognized_license_plate}
@@ -216,6 +234,7 @@ export default function SearchFilterDialog({
               max_speed: undefined,
               has_snapshot: undefined,
               has_clip: undefined,
+              ...(hasCustomClassificationModels && { attributes: undefined }),
               recognized_license_plate: undefined,
             }));
           }}
@@ -230,6 +249,7 @@ export default function SearchFilterDialog({
     <PlatformAwareSheet
       trigger={trigger}
       title={t("more")}
+      titleClassName="mb-5 -mt-3"
       content={content}
       contentClassName={cn(
         "w-auto lg:min-w-[275px] scrollbar-container h-full overflow-auto px-4",
@@ -429,7 +449,8 @@ export function ZoneFilterContent({
               {allZones.map((item) => (
                 <FilterSwitch
                   key={item}
-                  label={item.replaceAll("_", " ")}
+                  label={item}
+                  type={"zone"}
                   isChecked={zones?.includes(item) ?? false}
                   onCheckedChange={(isChecked) => {
                     if (isChecked) {
@@ -1085,3 +1106,72 @@ export function RecognizedLicensePlatesFilterContent({
     </div>
   );
 }
+
+type AttributeFilterContentProps = {
+  allAttributes?: string[];
+  attributes: string[] | undefined;
+  setAttributes: (labels: string[] | undefined) => void;
+};
+export function AttributeFilterContent({
+  allAttributes,
+  attributes,
+  setAttributes,
+}: AttributeFilterContentProps) {
+  const { t } = useTranslation(["components/filter"]);
+  const sortedAttributes = useMemo(
+    () =>
+      [...(allAttributes || [])].sort((a, b) =>
+        a.toLowerCase().localeCompare(b.toLowerCase()),
+      ),
+    [allAttributes],
+  );
+  return (
+    <div className="overflow-x-hidden">
+      <DropdownMenuSeparator className="mb-3" />
+      <div className="text-lg">{t("attributes.label")}</div>
+      <div className="mb-5 mt-2.5 flex items-center justify-between">
+        <Label
+          className="mx-2 cursor-pointer text-primary"
+          htmlFor="allAttributes"
+        >
+          {t("attributes.all")}
+        </Label>
+        <Switch
+          className="ml-1"
+          id="allAttributes"
+          checked={attributes == undefined}
+          onCheckedChange={(isChecked) => {
+            if (isChecked) {
+              setAttributes(undefined);
+            }
+          }}
+        />
+      </div>
+      <div className="mt-2.5 flex flex-col gap-2.5">
+        {sortedAttributes.map((item) => (
+          <FilterSwitch
+            key={item}
+            label={item.replaceAll("_", " ")}
+            isChecked={attributes?.includes(item) ?? false}
+            onCheckedChange={(isChecked) => {
+              if (isChecked) {
+                const updatedAttributes = attributes ? [...attributes] : [];
+
+                updatedAttributes.push(item);
+                setAttributes(updatedAttributes);
+              } else {
+                const updatedAttributes = attributes ? [...attributes] : [];
+
+                // can not deselect the last item
+                if (updatedAttributes.length > 1) {
+                  updatedAttributes.splice(updatedAttributes.indexOf(item), 1);
+                  setAttributes(updatedAttributes);
+                }
+              }
+            }}
+          />
+        ))}
+      </div>
+    </div>
+  );
+}
diff --git a/web/src/components/overlay/dialog/TrainFilterDialog.tsx b/web/src/components/overlay/dialog/TrainFilterDialog.tsx
index f4ccf41e1..b44b766fb 100644
--- a/web/src/components/overlay/dialog/TrainFilterDialog.tsx
+++ b/web/src/components/overlay/dialog/TrainFilterDialog.tsx
@@ -60,7 +60,7 @@ export default function TrainFilterDialog({
           moreFiltersSelected ? "text-white" : "text-secondary-foreground",
         )}
       />
-      {isDesktop && t("more")}
+      {isDesktop && t("filter")}
     </Button>
   );
   const content = (
@@ -97,20 +97,9 @@ export default function TrainFilterDialog({
         <Button
           aria-label={t("reset.label")}
           onClick={() => {
-            setCurrentFilter((prevFilter) => ({
-              ...prevFilter,
-              time_range: undefined,
-              zones: undefined,
-              sub_labels: undefined,
-              search_type: undefined,
-              min_score: undefined,
-              max_score: undefined,
-              min_speed: undefined,
-              max_speed: undefined,
-              has_snapshot: undefined,
-              has_clip: undefined,
-              recognized_license_plate: undefined,
-            }));
+            const resetFilter: TrainFilter = {};
+            setCurrentFilter(resetFilter);
+            onUpdateFilter(resetFilter);
           }}
         >
           {t("button.reset", { ns: "common" })}
@@ -122,7 +111,7 @@ export default function TrainFilterDialog({
   return (
     <PlatformAwareSheet
       trigger={trigger}
-      title={t("more")}
+      title={t("filter")}
       content={content}
       contentClassName={cn(
         "w-auto lg:min-w-[275px] scrollbar-container h-full overflow-auto px-4",
@@ -180,7 +169,11 @@ export function ClassFilterContent({
               {allClasses.map((item) => (
                 <FilterSwitch
                   key={item}
-                  label={item.replaceAll("_", " ")}
+                  label={
+                    item === "none"
+                      ? t("details.none", { ns: "views/classificationModel" })
+                      : item.replaceAll("_", " ")
+                  }
                   isChecked={classes?.includes(item) ?? false}
                   onCheckedChange={(isChecked) => {
                     if (isChecked) {
diff --git a/web/src/components/player/BirdseyeLivePlayer.tsx b/web/src/components/player/BirdseyeLivePlayer.tsx
index 2e9461293..3dcd6afe7 100644
--- a/web/src/components/player/BirdseyeLivePlayer.tsx
+++ b/web/src/components/player/BirdseyeLivePlayer.tsx
@@ -6,6 +6,7 @@ import MSEPlayer from "./MsePlayer";
 import { LivePlayerMode } from "@/types/live";
 import { cn } from "@/lib/utils";
 import React from "react";
+import { ImageShadowOverlay } from "../overlay/ImageShadowOverlay";
 
 type LivePlayerProps = {
   className?: string;
@@ -76,8 +77,10 @@ export default function BirdseyeLivePlayer({
       )}
       onClick={onClick}
     >
-      <div className="pointer-events-none absolute inset-x-0 top-0 z-10 h-[30%] w-full rounded-lg bg-gradient-to-b from-black/20 to-transparent md:rounded-2xl"></div>
-      <div className="pointer-events-none absolute inset-x-0 bottom-0 z-10 h-[10%] w-full rounded-lg bg-gradient-to-t from-black/20 to-transparent md:rounded-2xl"></div>
+      <ImageShadowOverlay
+        upperClassName="md:rounded-2xl"
+        lowerClassName="md:rounded-2xl"
+      />
       <div className="size-full" ref={playerRef}>
         {player}
       </div>
diff --git a/web/src/components/player/HlsVideoPlayer.tsx b/web/src/components/player/HlsVideoPlayer.tsx
index 4b1bfe5ef..22eef83a2 100644
--- a/web/src/components/player/HlsVideoPlayer.tsx
+++ b/web/src/components/player/HlsVideoPlayer.tsx
@@ -5,8 +5,8 @@ import {
   useRef,
   useState,
 } from "react";
-import Hls from "hls.js";
-import { isAndroid, isDesktop, isMobile } from "react-device-detect";
+import Hls, { HlsConfig } from "hls.js";
+import { isDesktop, isMobile } from "react-device-detect";
 import { TransformComponent, TransformWrapper } from "react-zoom-pan-pinch";
 import VideoControls from "./VideoControls";
 import { VideoResolutionType } from "@/types/live";
@@ -15,13 +15,15 @@ import { FrigateConfig } from "@/types/frigateConfig";
 import { AxiosResponse } from "axios";
 import { toast } from "sonner";
 import { useOverlayState } from "@/hooks/use-overlay-state";
-import { usePersistence } from "@/hooks/use-persistence";
+import { useUserPersistence } from "@/hooks/use-user-persistence";
 import { cn } from "@/lib/utils";
 import { ASPECT_VERTICAL_LAYOUT, RecordingPlayerError } from "@/types/record";
 import { useTranslation } from "react-i18next";
+import ObjectTrackOverlay from "@/components/overlay/ObjectTrackOverlay";
+import { useIsAdmin } from "@/hooks/use-is-admin";
 
 // Android native hls does not seek correctly
-const USE_NATIVE_HLS = !isAndroid;
+const USE_NATIVE_HLS = false;
 const HLS_MIME_TYPE = "application/vnd.apple.mpegurl" as const;
 const unsupportedErrorCodes = [
   MediaError.MEDIA_ERR_SRC_NOT_SUPPORTED,
@@ -47,11 +49,16 @@ type HlsVideoPlayerProps = {
   onPlayerLoaded?: () => void;
   onTimeUpdate?: (time: number) => void;
   onPlaying?: () => void;
+  onSeekToTime?: (timestamp: number, play?: boolean) => void;
   setFullResolution?: React.Dispatch<React.SetStateAction<VideoResolutionType>>;
   onUploadFrame?: (playTime: number) => Promise<AxiosResponse> | undefined;
   toggleFullscreen?: () => void;
   onError?: (error: RecordingPlayerError) => void;
+  isDetailMode?: boolean;
+  camera?: string;
+  currentTimeOverride?: number;
 };
+
 export default function HlsVideoPlayer({
   videoRef,
   containerRef,
@@ -66,13 +73,21 @@ export default function HlsVideoPlayer({
   onPlayerLoaded,
   onTimeUpdate,
   onPlaying,
+  onSeekToTime,
   setFullResolution,
   onUploadFrame,
   toggleFullscreen,
   onError,
+  isDetailMode = false,
+  camera,
+  currentTimeOverride,
 }: HlsVideoPlayerProps) {
   const { t } = useTranslation("components/player");
   const { data: config } = useSWR<FrigateConfig>("config");
+  const isAdmin = useIsAdmin();
+
+  // for detail stream context in History
+  const currentTime = currentTimeOverride;
 
   // playback
 
@@ -81,22 +96,52 @@ export default function HlsVideoPlayer({
   const [loadedMetadata, setLoadedMetadata] = useState(false);
   const [bufferTimeout, setBufferTimeout] = useState<NodeJS.Timeout>();
 
+  const applyVideoDimensions = useCallback(
+    (width: number, height: number) => {
+      if (setFullResolution) {
+        setFullResolution({ width, height });
+      }
+      setVideoDimensions({ width, height });
+      if (height > 0) {
+        setTallCamera(width / height < ASPECT_VERTICAL_LAYOUT);
+      }
+    },
+    [setFullResolution],
+  );
+
   const handleLoadedMetadata = useCallback(() => {
     setLoadedMetadata(true);
-    if (videoRef.current) {
-      if (setFullResolution) {
-        setFullResolution({
-          width: videoRef.current.videoWidth,
-          height: videoRef.current.videoHeight,
-        });
-      }
-
-      setTallCamera(
-        videoRef.current.videoWidth / videoRef.current.videoHeight <
-          ASPECT_VERTICAL_LAYOUT,
-      );
+    if (!videoRef.current) {
+      return;
     }
-  }, [videoRef, setFullResolution]);
+
+    const width = videoRef.current.videoWidth;
+    const height = videoRef.current.videoHeight;
+
+    // iOS Safari occasionally reports 0x0 for videoWidth/videoHeight
+    // Poll with requestAnimationFrame until dimensions become available (or timeout).
+    if (width > 0 && height > 0) {
+      applyVideoDimensions(width, height);
+      return;
+    }
+
+    let attempts = 0;
+    const maxAttempts = 120; // ~2 seconds at 60fps
+    const tryGetDims = () => {
+      if (!videoRef.current) return;
+      const w = videoRef.current.videoWidth;
+      const h = videoRef.current.videoHeight;
+      if (w > 0 && h > 0) {
+        applyVideoDimensions(w, h);
+        return;
+      }
+      if (attempts < maxAttempts) {
+        attempts += 1;
+        requestAnimationFrame(tryGetDims);
+      }
+    };
+    requestAnimationFrame(tryGetDims);
+  }, [videoRef, applyVideoDimensions]);
 
   useEffect(() => {
     if (!videoRef.current) {
@@ -115,6 +160,8 @@ export default function HlsVideoPlayer({
       return;
     }
 
+    setLoadedMetadata(false);
+
     const currentPlaybackRate = videoRef.current.playbackRate;
 
     if (!useHlsCompat) {
@@ -123,11 +170,14 @@ export default function HlsVideoPlayer({
       return;
     }
 
-    hlsRef.current = new Hls({
+    // Base HLS configuration
+    const hlsConfig: Partial<HlsConfig> = {
       maxBufferLength: 10,
       maxBufferSize: 20 * 1000 * 1000,
       startPosition: currentSource.startPosition,
-    });
+    };
+
+    hlsRef.current = new Hls(hlsConfig);
     hlsRef.current.attachMedia(videoRef.current);
     hlsRef.current.loadSource(currentSource.playlist);
     videoRef.current.playbackRate = currentPlaybackRate;
@@ -163,9 +213,9 @@ export default function HlsVideoPlayer({
 
   const [tallCamera, setTallCamera] = useState(false);
   const [isPlaying, setIsPlaying] = useState(true);
-  const [muted, setMuted] = usePersistence("hlsPlayerMuted", true);
+  const [muted, setMuted] = useUserPersistence("hlsPlayerMuted", true);
   const [volume, setVolume] = useOverlayState("playerVolume", 1.0);
-  const [defaultPlaybackRate] = usePersistence("playbackRate", 1);
+  const [defaultPlaybackRate] = useUserPersistence("playbackRate", 1);
   const [playbackRate, setPlaybackRate] = useOverlayState(
     "playbackRate",
     defaultPlaybackRate ?? 1,
@@ -174,6 +224,10 @@ export default function HlsVideoPlayer({
   const [controls, setControls] = useState(isMobile);
   const [controlsOpen, setControlsOpen] = useState(false);
   const [zoomScale, setZoomScale] = useState(1.0);
+  const [videoDimensions, setVideoDimensions] = useState<{
+    width: number;
+    height: number;
+  }>({ width: 0, height: 0 });
 
   useEffect(() => {
     if (!isDesktop) {
@@ -236,7 +290,7 @@ export default function HlsVideoPlayer({
             volume: true,
             seek: true,
             playbackRate: true,
-            plusUpload: config?.plus?.enabled == true,
+            plusUpload: isAdmin && config?.plus?.enabled == true,
             fullscreen: supportsFullscreen,
           }}
           setControlsOpen={setControlsOpen}
@@ -296,6 +350,39 @@ export default function HlsVideoPlayer({
           height: isMobile ? "100%" : undefined,
         }}
       >
+        {isDetailMode &&
+          camera &&
+          currentTime &&
+          loadedMetadata &&
+          videoDimensions.width > 0 &&
+          videoDimensions.height > 0 && (
+            <div
+              className={cn(
+                "absolute inset-0 z-50",
+                isDesktop
+                  ? "size-full"
+                  : "mx-auto flex items-center justify-center portrait:max-h-[50dvh]",
+              )}
+              style={{
+                aspectRatio: `${videoDimensions.width} / ${videoDimensions.height}`,
+              }}
+            >
+              <ObjectTrackOverlay
+                key={`overlay-${currentTime}`}
+                camera={camera}
+                showBoundingBoxes={!isPlaying}
+                currentTime={currentTime}
+                videoWidth={videoDimensions.width}
+                videoHeight={videoDimensions.height}
+                className="absolute inset-0 z-10"
+                onSeekToTime={(timestamp, play) => {
+                  if (onSeekToTime) {
+                    onSeekToTime(timestamp, play);
+                  }
+                }}
+              />
+            </div>
+          )}
         <video
           ref={videoRef}
           className={`size-full rounded-lg bg-black md:rounded-2xl ${loadedMetadata ? "" : "invisible"} cursor-pointer`}
diff --git a/web/src/components/player/LivePlayer.tsx b/web/src/components/player/LivePlayer.tsx
index f61e544eb..1dd7a10a6 100644
--- a/web/src/components/player/LivePlayer.tsx
+++ b/web/src/components/player/LivePlayer.tsx
@@ -16,7 +16,6 @@ import {
 } from "@/types/live";
 import { getIconForLabel } from "@/utils/iconUtil";
 import Chip from "../indicators/Chip";
-import { capitalizeFirstLetter } from "@/utils/stringUtil";
 import { cn } from "@/lib/utils";
 import { TbExclamationCircle } from "react-icons/tb";
 import { TooltipPortal } from "@radix-ui/react-tooltip";
@@ -25,6 +24,9 @@ import { PlayerStats } from "./PlayerStats";
 import { LuVideoOff } from "react-icons/lu";
 import { Trans, useTranslation } from "react-i18next";
 import { useCameraFriendlyName } from "@/hooks/use-camera-friendly-name";
+import { ImageShadowOverlay } from "../overlay/ImageShadowOverlay";
+import { getTranslatedLabel } from "@/utils/i18n";
+import { formatList } from "@/utils/stringUtil";
 
 type LivePlayerProps = {
   cameraRef?: (ref: HTMLDivElement | null) => void;
@@ -34,6 +36,7 @@ type LivePlayerProps = {
   streamName: string;
   preferredLiveMode: LivePlayerMode;
   showStillWithoutActivity?: boolean;
+  alwaysShowCameraName?: boolean;
   useWebGL: boolean;
   windowVisible?: boolean;
   playAudio?: boolean;
@@ -58,6 +61,7 @@ export default function LivePlayer({
   streamName,
   preferredLiveMode,
   showStillWithoutActivity = true,
+  alwaysShowCameraName = false,
   useWebGL = false,
   windowVisible = true,
   playAudio = false,
@@ -328,10 +332,10 @@ export default function LivePlayer({
     >
       {cameraEnabled &&
         ((showStillWithoutActivity && !liveReady) || liveReady) && (
-          <>
-            <div className="pointer-events-none absolute inset-x-0 top-0 z-10 h-[30%] w-full rounded-lg bg-gradient-to-b from-black/20 to-transparent md:rounded-2xl"></div>
-            <div className="pointer-events-none absolute inset-x-0 bottom-0 z-10 h-[10%] w-full rounded-lg bg-gradient-to-t from-black/20 to-transparent md:rounded-2xl"></div>
-          </>
+          <ImageShadowOverlay
+            upperClassName="md:rounded-2xl"
+            lowerClassName="md:rounded-2xl"
+          />
         )}
       {player}
       {cameraEnabled &&
@@ -355,7 +359,11 @@ export default function LivePlayer({
                         ]),
                       ]
                         .map((label) => {
-                          return getIconForLabel(label, "size-3 text-white");
+                          return getIconForLabel(
+                            label,
+                            "object",
+                            "size-3 text-white",
+                          );
                         })
                         .sort()}
                     </Chip>
@@ -364,20 +372,22 @@ export default function LivePlayer({
               </div>
               <TooltipPortal>
                 <TooltipContent className="smart-capitalize">
-                  {[
-                    ...new Set([
-                      ...(objects || []).map(({ label, sub_label }) =>
-                        label.endsWith("verified")
-                          ? sub_label
-                          : label.replaceAll("_", " "),
-                      ),
-                    ]),
-                  ]
-                    .filter((label) => label?.includes("-verified") == false)
-                    .map((label) => capitalizeFirstLetter(label))
-                    .sort()
-                    .join(", ")
-                    .replaceAll("-verified", "")}
+                  {formatList(
+                    [
+                      ...new Set([
+                        ...(objects || []).map(({ label, sub_label }) =>
+                          label.endsWith("verified")
+                            ? sub_label
+                            : label.replaceAll("_", " "),
+                        ),
+                      ]),
+                    ]
+                      .filter((label) => label?.includes("-verified") == false)
+                      .map((label) =>
+                        getTranslatedLabel(label.replace("-verified", "")),
+                      )
+                      .sort(),
+                  )}
                 </TooltipContent>
               </TooltipPortal>
             </Tooltip>
@@ -435,20 +445,22 @@ export default function LivePlayer({
         </div>
       )}
 
-      <div className="absolute right-2 top-2">
-        {autoLive &&
-          !offline &&
-          activeMotion &&
-          ((showStillWithoutActivity && !liveReady) || liveReady) && (
-            <MdCircle className="mr-2 size-2 animate-pulse text-danger shadow-danger drop-shadow-md" />
-          )}
-        {((offline && showStillWithoutActivity) || !cameraEnabled) && (
+      <div className="absolute right-2 top-2 flex items-center gap-3">
+        {(alwaysShowCameraName ||
+          (offline && showStillWithoutActivity) ||
+          !cameraEnabled) && (
           <Chip
             className={`z-0 flex items-start justify-between space-x-1 bg-gray-500 bg-gradient-to-br from-gray-400 to-gray-500 text-xs capitalize`}
           >
             {cameraName}
           </Chip>
         )}
+        {autoLive &&
+          !offline &&
+          activeMotion &&
+          ((showStillWithoutActivity && !liveReady) || liveReady) && (
+            <MdCircle className="mr-2 size-2 animate-pulse text-danger shadow-danger drop-shadow-md" />
+          )}
       </div>
       {showStats && (
         <PlayerStats stats={stats} minimal={cameraRef !== undefined} />
diff --git a/web/src/components/player/MsePlayer.tsx b/web/src/components/player/MsePlayer.tsx
index c4a30c7e6..1a2b1b6cb 100644
--- a/web/src/components/player/MsePlayer.tsx
+++ b/web/src/components/player/MsePlayer.tsx
@@ -1,4 +1,5 @@
 import { baseUrl } from "@/api/baseUrl";
+import { useUserPersistence } from "@/hooks/use-user-persistence";
 import {
   LivePlayerError,
   PlayerStatsType,
@@ -71,14 +72,23 @@ function MSEPlayer({
   const [errorCount, setErrorCount] = useState<number>(0);
   const totalBytesLoaded = useRef(0);
 
+  const [fallbackTimeout] = useUserPersistence<number>(
+    "liveFallbackTimeout",
+    3,
+  );
+
   const videoRef = useRef<HTMLVideoElement>(null);
   const wsRef = useRef<WebSocket | null>(null);
   const reconnectTIDRef = useRef<number | null>(null);
+  const intentionalDisconnectRef = useRef<boolean>(false);
   const ondataRef = useRef<((data: ArrayBufferLike) => void) | null>(null);
   const onmessageRef = useRef<{
     [key: string]: (msg: { value: string; type: string }) => void;
   }>({});
   const msRef = useRef<MediaSource | null>(null);
+  const mseCodecRef = useRef<string | null>(null);
+  const mseTimeoutRef = useRef<ReturnType<typeof setTimeout> | null>(null);
+  const mseResponseReceivedRef = useRef<boolean>(false);
 
   const wsURL = useMemo(() => {
     return `${baseUrl.replace(/^http/, "ws")}live/mse/api/ws?src=${camera}`;
@@ -88,10 +98,21 @@ function MSEPlayer({
     (error: LivePlayerError, description: string = "Unknown error") => {
       // eslint-disable-next-line no-console
       console.error(
-        `${camera} - MSE error '${error}': ${description} See the documentation: https://docs.frigate.video/configuration/live/#live-view-faq`,
+        `${camera} - MSE error '${error}': ${description} See the documentation: https://docs.frigate.video/configuration/live/#live-player-error-messages`,
       );
+
+      if (mseCodecRef.current) {
+        // eslint-disable-next-line no-console
+        console.error(
+          `${camera} - Browser negotiated codecs: ${mseCodecRef.current}`,
+        );
+        // eslint-disable-next-line no-console
+        console.error(`${camera} - Supported codecs: ${CODECS.join(", ")}`);
+      }
       onError?.(error);
     },
+    // we know that these deps are correct
+    // eslint-disable-next-line react-hooks/exhaustive-deps
     [camera, onError],
   );
 
@@ -134,8 +155,11 @@ function MSEPlayer({
   }, []);
 
   const onConnect = useCallback(() => {
-    if (!videoRef.current?.isConnected || !wsURL || wsRef.current) return false;
+    if (!videoRef.current?.isConnected || !wsURL || wsRef.current) {
+      return false;
+    }
 
+    intentionalDisconnectRef.current = false;
     setWsState(WebSocket.CONNECTING);
 
     setConnectTS(Date.now());
@@ -154,13 +178,50 @@ function MSEPlayer({
       setBufferTimeout(undefined);
     }
 
+    // Clear any pending MSE timeout
+    if (mseTimeoutRef.current !== null) {
+      clearTimeout(mseTimeoutRef.current);
+      mseTimeoutRef.current = null;
+    }
+
+    // Clear any pending reconnect attempts
+    if (reconnectTIDRef.current !== null) {
+      clearTimeout(reconnectTIDRef.current);
+      reconnectTIDRef.current = null;
+    }
+
     setIsPlaying(false);
 
     if (wsRef.current) {
-      setWsState(WebSocket.CLOSED);
-      wsRef.current.close();
+      const ws = wsRef.current;
       wsRef.current = null;
+      const currentReadyState = ws.readyState;
+
+      intentionalDisconnectRef.current = true;
+      setWsState(WebSocket.CLOSED);
+
+      // Remove event listeners to prevent them firing during close
+      try {
+        ws.removeEventListener("open", onOpen);
+        ws.removeEventListener("close", onClose);
+      } catch {
+        // Ignore errors removing listeners
+      }
+
+      // Only call close() if the socket is OPEN or CLOSING
+      // For CONNECTING or CLOSED sockets, just let it die
+      if (
+        currentReadyState === WebSocket.OPEN ||
+        currentReadyState === WebSocket.CLOSING
+      ) {
+        try {
+          ws.close();
+        } catch {
+          // Ignore close errors
+        }
+      }
     }
+    // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [bufferTimeout]);
 
   const handlePause = useCallback(() => {
@@ -170,7 +231,14 @@ function MSEPlayer({
     }
   }, [isPlaying, playbackEnabled]);
 
-  const onOpen = () => {
+  const onOpen = useCallback(() => {
+    // If we were marked for intentional disconnect while connecting, close immediately
+    if (intentionalDisconnectRef.current) {
+      wsRef.current?.close();
+      wsRef.current = null;
+      return;
+    }
+
     setWsState(WebSocket.OPEN);
 
     wsRef.current?.addEventListener("message", (ev) => {
@@ -187,10 +255,27 @@ function MSEPlayer({
     ondataRef.current = null;
     onmessageRef.current = {};
 
+    // Reset the MSE response flag for this new connection
+    mseResponseReceivedRef.current = false;
+
+    // Create a fresh MediaSource for this connection to avoid stale sourceopen events
+    // from previous connections interfering with this one
+    const MediaSourceConstructor =
+      "ManagedMediaSource" in window ? window.ManagedMediaSource : MediaSource;
+    // @ts-expect-error for typing
+    msRef.current = new MediaSourceConstructor();
+
     onMse();
-  };
+    // onMse is defined below and stable
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, []);
 
   const reconnect = (timeout?: number) => {
+    // Don't reconnect if intentional disconnect was flagged
+    if (intentionalDisconnectRef.current) {
+      return;
+    }
+
     setWsState(WebSocket.CONNECTING);
     wsRef.current = null;
 
@@ -203,28 +288,79 @@ function MSEPlayer({
     }, delay);
   };
 
-  const onClose = () => {
+  const onClose = useCallback(() => {
+    // Don't reconnect if this was an intentional disconnect
+    if (intentionalDisconnectRef.current) {
+      // Reset the flag so future connects are allowed
+      intentionalDisconnectRef.current = false;
+      return;
+    }
+
     if (wsState === WebSocket.CLOSED) return;
     reconnect();
-  };
+    // reconnect is defined below and stable
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [wsState]);
 
   const sendWithTimeout = (value: object, timeout: number) => {
     return new Promise<void>((resolve, reject) => {
+      // Don't start timeout if WS isn't connected - this can happen when
+      // sourceopen fires from a previous connection after we've already disconnected
+      if (!wsRef.current || wsRef.current.readyState !== WebSocket.OPEN) {
+        // Reject so caller knows this didn't work
+        reject(new Error("WebSocket not connected"));
+        return;
+      }
+
+      // If we've already received an MSE response for this connection, don't start another timeout
+      if (mseResponseReceivedRef.current) {
+        resolve();
+        return;
+      }
+
+      // Clear any existing MSE timeout from a previous attempt
+      if (mseTimeoutRef.current !== null) {
+        clearTimeout(mseTimeoutRef.current);
+        mseTimeoutRef.current = null;
+      }
+
       const timeoutId = setTimeout(() => {
-        reject(new Error("Timeout waiting for response"));
+        // Only reject if we haven't received a response yet
+        if (!mseResponseReceivedRef.current) {
+          mseTimeoutRef.current = null;
+          reject(new Error("Timeout waiting for response"));
+        }
       }, timeout);
 
-      send(value);
+      mseTimeoutRef.current = timeoutId;
 
       // Override the onmessageRef handler for mse type to resolve the promise on response
       const originalHandler = onmessageRef.current["mse"];
       onmessageRef.current["mse"] = (msg) => {
         if (msg.type === "mse") {
-          clearTimeout(timeoutId);
-          if (originalHandler) originalHandler(msg);
+          // Mark that we've received the response
+          mseResponseReceivedRef.current = true;
+
+          // Clear the timeout (use ref to clear the current one, not closure)
+          if (mseTimeoutRef.current !== null) {
+            clearTimeout(mseTimeoutRef.current);
+            mseTimeoutRef.current = null;
+          }
+
+          // Call original handler in try-catch so errors don't prevent promise resolution
+          if (originalHandler) {
+            try {
+              originalHandler(msg);
+            } catch (e) {
+              // Don't reject - we got the response, just let the error bubble
+            }
+          }
+
           resolve();
         }
       };
+
+      send(value);
     });
   };
 
@@ -242,7 +378,7 @@ function MSEPlayer({
               // @ts-expect-error for typing
               value: codecs(MediaSource.isTypeSupported),
             },
-            3000,
+            (fallbackTimeout ?? 3) * 1000,
           ).catch(() => {
             if (wsRef.current) {
               onDisconnect();
@@ -272,15 +408,17 @@ function MSEPlayer({
               type: "mse",
               value: codecs(MediaSource.isTypeSupported),
             },
-            3000,
+            (fallbackTimeout ?? 3) * 1000,
           ).catch(() => {
+            // Only report errors if we actually had a connection that failed
+            // If WS wasn't connected, this is a stale sourceopen event from a previous connection
             if (wsRef.current) {
               onDisconnect();
-            }
-            if (isIOS || isSafari) {
-              handleError("mse-decode", "Safari cannot open MediaSource.");
-            } else {
-              handleError("startup", "Error opening MediaSource.");
+              if (isIOS || isSafari) {
+                handleError("mse-decode", "Safari cannot open MediaSource.");
+              } else {
+                handleError("startup", "Error opening MediaSource.");
+              }
             }
           });
         },
@@ -296,6 +434,9 @@ function MSEPlayer({
     onmessageRef.current["mse"] = (msg) => {
       if (msg.type !== "mse") return;
 
+      // Store the codec value for error logging
+      mseCodecRef.current = msg.value;
+
       let sb: SourceBuffer | undefined;
       try {
         sb = msRef.current?.addSourceBuffer(msg.value);
@@ -475,7 +616,10 @@ function MSEPlayer({
         setBufferTimeout(undefined);
       }
 
-      const timeoutDuration = bufferTime == 0 ? 5000 : 3000;
+      const timeoutDuration =
+        bufferTime == 0
+          ? (fallbackTimeout ?? 3) * 2 * 1000
+          : (fallbackTimeout ?? 3) * 1000;
       setBufferTimeout(
         setTimeout(() => {
           if (
@@ -500,6 +644,7 @@ function MSEPlayer({
     onError,
     onPlaying,
     playbackEnabled,
+    fallbackTimeout,
   ]);
 
   useEffect(() => {
@@ -507,13 +652,6 @@ function MSEPlayer({
       return;
     }
 
-    // iOS 17.1+ uses ManagedMediaSource
-    const MediaSourceConstructor =
-      "ManagedMediaSource" in window ? window.ManagedMediaSource : MediaSource;
-
-    // @ts-expect-error for typing
-    msRef.current = new MediaSourceConstructor();
-
     onConnect();
 
     return () => {
diff --git a/web/src/components/player/PreviewPlayer.tsx b/web/src/components/player/PreviewPlayer.tsx
index c08c73396..2a831fc6b 100644
--- a/web/src/components/player/PreviewPlayer.tsx
+++ b/web/src/components/player/PreviewPlayer.tsx
@@ -309,6 +309,7 @@ function PreviewVideoPlayer({
           playsInline
           muted
           disableRemotePlayback
+          disablePictureInPicture
           onSeeked={onPreviewSeeked}
           onLoadedData={() => {
             if (firstLoad) {
diff --git a/web/src/components/player/PreviewThumbnailPlayer.tsx b/web/src/components/player/PreviewThumbnailPlayer.tsx
index 9d84a6697..517a83e7c 100644
--- a/web/src/components/player/PreviewThumbnailPlayer.tsx
+++ b/web/src/components/player/PreviewThumbnailPlayer.tsx
@@ -1,7 +1,11 @@
 import React, { useCallback, useEffect, useMemo, useState } from "react";
 import { useApiHost } from "@/api";
 import { isCurrentHour } from "@/utils/dateUtil";
-import { ReviewSegment } from "@/types/review";
+import {
+  ReviewSegment,
+  ThreatLevel,
+  THREAT_LEVEL_LABELS,
+} from "@/types/review";
 import { getIconForLabel } from "@/utils/iconUtil";
 import TimeAgo from "../dynamic/TimeAgo";
 import useSWR from "swr";
@@ -16,7 +20,6 @@ import ImageLoadingIndicator from "../indicators/ImageLoadingIndicator";
 import useContextMenu from "@/hooks/use-contextmenu";
 import ActivityIndicator from "../indicators/activity-indicator";
 import { TimeRange } from "@/types/timeline";
-import { capitalizeFirstLetter } from "@/utils/stringUtil";
 import { cn } from "@/lib/utils";
 import { InProgressPreview, VideoPreview } from "../preview/ScrubbablePreview";
 import { Preview } from "@/types/preview";
@@ -24,6 +27,7 @@ import { baseUrl } from "@/api/baseUrl";
 import { useTranslation } from "react-i18next";
 import { FaExclamationTriangle } from "react-icons/fa";
 import { MdOutlinePersonSearch } from "react-icons/md";
+import { getTranslatedLabel } from "@/utils/i18n";
 
 type PreviewPlayerProps = {
   review: ReviewSegment;
@@ -44,7 +48,7 @@ export default function PreviewThumbnailPlayer({
   onClick,
   onTimeUpdate,
 }: PreviewPlayerProps) {
-  const { t } = useTranslation(["components/player"]);
+  const { t } = useTranslation(["components/player", "views/events"]);
   const apiHost = useApiHost();
   const { data: config } = useSWR<FrigateConfig>("config");
   const [imgRef, imgLoaded, onImgLoad] = useImageLoaded();
@@ -258,10 +262,18 @@ export default function PreviewThumbnailPlayer({
                         onClick={() => onClick(review, false, true)}
                       >
                         {review.data.objects.sort().map((object) => {
-                          return getIconForLabel(object, "size-3 text-white");
+                          return getIconForLabel(
+                            object,
+                            "object",
+                            "size-3 text-white",
+                          );
                         })}
                         {review.data.audio.map((audio) => {
-                          return getIconForLabel(audio, "size-3 text-white");
+                          return getIconForLabel(
+                            audio,
+                            "audio",
+                            "size-3 text-white",
+                          );
                         })}
                       </Chip>
                     </>
@@ -270,20 +282,22 @@ export default function PreviewThumbnailPlayer({
               </TooltipTrigger>
             </div>
             <TooltipContent className="smart-capitalize">
-              {[
-                ...new Set([
-                  ...(review.data.objects || []),
-                  ...(review.data.sub_labels || []),
-                  ...(review.data.audio || []),
-                ]),
-              ]
-                .filter(
-                  (item) => item !== undefined && !item.includes("-verified"),
-                )
-                .map((text) => capitalizeFirstLetter(text))
-                .sort()
-                .join(", ")
-                .replaceAll("-verified", "")}
+              {review.data.metadata
+                ? review.data.metadata.title
+                : [
+                    ...new Set([
+                      ...(review.data.objects || []),
+                      ...(review.data.sub_labels || []),
+                      ...(review.data.audio || []),
+                    ]),
+                  ]
+                    .filter(
+                      (item) =>
+                        item !== undefined && !item.includes("-verified"),
+                    )
+                    .map((text) => getTranslatedLabel(text))
+                    .sort()
+                    .join(", ")}
             </TooltipContent>
           </Tooltip>
           {!!(
@@ -317,11 +331,23 @@ export default function PreviewThumbnailPlayer({
                 </TooltipTrigger>
               </div>
               <TooltipContent className="smart-capitalize">
-                {review.data.metadata.potential_threat_level == 1 ? (
-                  <>{t("suspiciousActivity", { ns: "views/events" })}</>
-                ) : (
-                  <>{t("threateningActivity", { ns: "views/events" })}</>
-                )}
+                {(() => {
+                  const threatLevel =
+                    review.data.metadata.potential_threat_level ?? 0;
+                  switch (threatLevel) {
+                    case ThreatLevel.NEEDS_REVIEW:
+                      return t("needsReview", { ns: "views/events" });
+                    case ThreatLevel.SECURITY_CONCERN:
+                      return t("securityConcern", { ns: "views/events" });
+                    default:
+                      return (
+                        THREAT_LEVEL_LABELS[threatLevel as ThreatLevel] ||
+                        t("details.unknown", {
+                          ns: "views/classificationModel",
+                        })
+                      );
+                  }
+                })()}
               </TooltipContent>
             </Tooltip>
           )}
diff --git a/web/src/components/player/VideoControls.tsx b/web/src/components/player/VideoControls.tsx
index d3bb1aa04..020c54d7b 100644
--- a/web/src/components/player/VideoControls.tsx
+++ b/web/src/components/player/VideoControls.tsx
@@ -289,6 +289,7 @@ export default function VideoControls({
           }}
           onUploadFrame={onUploadFrame}
           containerRef={containerRef}
+          fullscreen={fullscreen}
         />
       )}
       {features.fullscreen && toggleFullscreen && (
@@ -306,6 +307,7 @@ type FrigatePlusUploadButtonProps = {
   onClose: () => void;
   onUploadFrame: () => void;
   containerRef?: React.MutableRefObject<HTMLDivElement | null>;
+  fullscreen?: boolean;
 };
 function FrigatePlusUploadButton({
   video,
@@ -313,6 +315,7 @@ function FrigatePlusUploadButton({
   onClose,
   onUploadFrame,
   containerRef,
+  fullscreen,
 }: FrigatePlusUploadButtonProps) {
   const { t } = useTranslation(["components/player"]);
 
@@ -349,7 +352,11 @@ function FrigatePlusUploadButton({
         />
       </AlertDialogTrigger>
       <AlertDialogContent
-        portalProps={{ container: containerRef?.current }}
+        portalProps={
+          fullscreen && containerRef?.current
+            ? { container: containerRef.current }
+            : undefined
+        }
         className="md:max-w-2xl lg:max-w-3xl xl:max-w-4xl"
       >
         <AlertDialogHeader>
diff --git a/web/src/components/player/WebRTCPlayer.tsx b/web/src/components/player/WebRTCPlayer.tsx
index 13a2a20ed..37770acc0 100644
--- a/web/src/components/player/WebRTCPlayer.tsx
+++ b/web/src/components/player/WebRTCPlayer.tsx
@@ -42,7 +42,7 @@ export default function WebRtcPlayer({
     (error: LivePlayerError, description: string = "Unknown error") => {
       // eslint-disable-next-line no-console
       console.error(
-        `${camera} - WebRTC error '${error}': ${description} See the documentation: https://docs.frigate.video/configuration/live/#live-view-faq`,
+        `${camera} - WebRTC error '${error}': ${description} See the documentation: https://docs.frigate.video/configuration/live/#live-player-error-messages`,
       );
       onError?.(error);
     },
diff --git a/web/src/components/player/dynamic/DynamicVideoController.ts b/web/src/components/player/dynamic/DynamicVideoController.ts
index 0683481c6..e9da0064d 100644
--- a/web/src/components/player/dynamic/DynamicVideoController.ts
+++ b/web/src/components/player/dynamic/DynamicVideoController.ts
@@ -1,8 +1,11 @@
 import { Recording } from "@/types/record";
 import { DynamicPlayback } from "@/types/playback";
 import { PreviewController } from "../PreviewPlayer";
-import { TimeRange, ObjectLifecycleSequence } from "@/types/timeline";
-import { calculateInpointOffset } from "@/utils/videoUtil";
+import { TimeRange, TrackingDetailsSequence } from "@/types/timeline";
+import {
+  calculateInpointOffset,
+  calculateSeekPosition,
+} from "@/utils/videoUtil";
 
 type PlayerMode = "playback" | "scrubbing";
 
@@ -12,7 +15,7 @@ export class DynamicVideoController {
   private playerController: HTMLVideoElement;
   private previewController: PreviewController;
   private setNoRecording: (noRecs: boolean) => void;
-  private setFocusedItem: (timeline: ObjectLifecycleSequence) => void;
+  private setFocusedItem: (timeline: TrackingDetailsSequence) => void;
   private playerMode: PlayerMode = "playback";
 
   // playback
@@ -29,7 +32,7 @@ export class DynamicVideoController {
     annotationOffset: number,
     defaultMode: PlayerMode,
     setNoRecording: (noRecs: boolean) => void,
-    setFocusedItem: (timeline: ObjectLifecycleSequence) => void,
+    setFocusedItem: (timeline: TrackingDetailsSequence) => void,
   ) {
     this.camera = camera;
     this.playerController = playerController;
@@ -62,44 +65,30 @@ export class DynamicVideoController {
     this.playerController.pause();
   }
 
+  isPlaying(): boolean {
+    return !this.playerController.paused && !this.playerController.ended;
+  }
+
   seekToTimestamp(time: number, play: boolean = false) {
     if (time < this.timeRange.after || time > this.timeRange.before) {
       this.timeToStart = time;
       return;
     }
 
-    if (
-      this.recordings.length == 0 ||
-      time < this.recordings[0].start_time ||
-      time > this.recordings[this.recordings.length - 1].end_time
-    ) {
-      this.setNoRecording(true);
-      return;
-    }
-
     if (this.playerMode != "playback") {
       this.playerMode = "playback";
     }
 
-    let seekSeconds = 0;
-    (this.recordings || []).every((segment) => {
-      // if the next segment is past the desired time, stop calculating
-      if (segment.start_time > time) {
-        return false;
-      }
+    const seekSeconds = calculateSeekPosition(
+      time,
+      this.recordings,
+      this.inpointOffset,
+    );
 
-      if (segment.end_time < time) {
-        seekSeconds += segment.end_time - segment.start_time;
-        return true;
-      }
-
-      seekSeconds +=
-        segment.end_time - segment.start_time - (segment.end_time - time);
-      return true;
-    });
-
-    // adjust for HLS inpoint offset
-    seekSeconds -= this.inpointOffset;
+    if (seekSeconds === undefined) {
+      this.setNoRecording(true);
+      return;
+    }
 
     if (seekSeconds != 0) {
       this.playerController.currentTime = seekSeconds;
@@ -128,7 +117,7 @@ export class DynamicVideoController {
     });
   }
 
-  seekToTimelineItem(timeline: ObjectLifecycleSequence) {
+  seekToTimelineItem(timeline: TrackingDetailsSequence) {
     this.playerController.pause();
     this.seekToTimestamp(timeline.timestamp + this.annotationOffset);
     this.setFocusedItem(timeline);
diff --git a/web/src/components/player/dynamic/DynamicVideoPlayer.tsx b/web/src/components/player/dynamic/DynamicVideoPlayer.tsx
index 836203ca7..7fe5bd50b 100644
--- a/web/src/components/player/dynamic/DynamicVideoPlayer.tsx
+++ b/web/src/components/player/dynamic/DynamicVideoPlayer.tsx
@@ -7,13 +7,17 @@ import { Preview } from "@/types/preview";
 import PreviewPlayer, { PreviewController } from "../PreviewPlayer";
 import { DynamicVideoController } from "./DynamicVideoController";
 import HlsVideoPlayer, { HlsSource } from "../HlsVideoPlayer";
+import { useDetailStream } from "@/context/detail-stream-context";
 import { TimeRange } from "@/types/timeline";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import { VideoResolutionType } from "@/types/live";
 import axios from "axios";
 import { cn } from "@/lib/utils";
 import { useTranslation } from "react-i18next";
-import { calculateInpointOffset } from "@/utils/videoUtil";
+import {
+  calculateInpointOffset,
+  calculateSeekPosition,
+} from "@/utils/videoUtil";
 import { isFirefox } from "react-device-detect";
 
 /**
@@ -32,6 +36,7 @@ type DynamicVideoPlayerProps = {
   onControllerReady: (controller: DynamicVideoController) => void;
   onTimestampUpdate?: (timestamp: number) => void;
   onClipEnded?: () => void;
+  onSeekToTime?: (timestamp: number, play?: boolean) => void;
   setFullResolution: React.Dispatch<React.SetStateAction<VideoResolutionType>>;
   toggleFullscreen: () => void;
   containerRef?: React.MutableRefObject<HTMLDivElement | null>;
@@ -49,6 +54,7 @@ export default function DynamicVideoPlayer({
   onControllerReady,
   onTimestampUpdate,
   onClipEnded,
+  onSeekToTime,
   setFullResolution,
   toggleFullscreen,
   containerRef,
@@ -57,6 +63,13 @@ export default function DynamicVideoPlayer({
   const apiHost = useApiHost();
   const { data: config } = useSWR<FrigateConfig>("config");
 
+  // for detail stream context in History
+  const {
+    isDetailMode,
+    camera: contextCamera,
+    currentTime,
+  } = useDetailStream();
+
   // controlling playback
 
   const playerRef = useRef<HTMLVideoElement | null>(null);
@@ -99,10 +112,10 @@ export default function DynamicVideoPlayer({
   const [isLoading, setIsLoading] = useState(false);
   const [isBuffering, setIsBuffering] = useState(false);
   const [loadingTimeout, setLoadingTimeout] = useState<NodeJS.Timeout>();
-  const [source, setSource] = useState<HlsSource>({
-    playlist: `${apiHost}vod/${camera}/start/${timeRange.after}/end/${timeRange.before}/master.m3u8`,
-    startPosition: startTimestamp ? timeRange.after - startTimestamp : 0,
-  });
+
+  // Don't set source until recordings load - we need accurate startPosition
+  // to avoid hls.js clamping to video end when startPosition exceeds duration
+  const [source, setSource] = useState<HlsSource | undefined>(undefined);
 
   // start at correct time
 
@@ -174,7 +187,7 @@ export default function DynamicVideoPlayer({
   );
 
   useEffect(() => {
-    if (!controller || !recordings?.length) {
+    if (!recordings?.length) {
       if (recordings?.length == 0) {
         setNoRecording(true);
       }
@@ -182,10 +195,6 @@ export default function DynamicVideoPlayer({
       return;
     }
 
-    if (playerRef.current) {
-      playerRef.current.autoplay = !isScrubbing;
-    }
-
     let startPosition = undefined;
 
     if (startTimestamp) {
@@ -193,14 +202,12 @@ export default function DynamicVideoPlayer({
         recordingParams.after,
         (recordings || [])[0],
       );
-      const idealStartPosition = Math.max(
-        0,
-        startTimestamp - timeRange.after - inpointOffset,
-      );
 
-      if (idealStartPosition >= recordings[0].start_time - timeRange.after) {
-        startPosition = idealStartPosition;
-      }
+      startPosition = calculateSeekPosition(
+        startTimestamp,
+        recordings,
+        inpointOffset,
+      );
     }
 
     setSource({
@@ -208,6 +215,18 @@ export default function DynamicVideoPlayer({
       startPosition,
     });
 
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [recordings]);
+
+  useEffect(() => {
+    if (!controller || !recordings?.length) {
+      return;
+    }
+
+    if (playerRef.current) {
+      playerRef.current.autoplay = !isScrubbing;
+    }
+
     setLoadingTimeout(setTimeout(() => setIsLoading(true), 1000));
 
     controller.newPlayback({
@@ -215,7 +234,7 @@ export default function DynamicVideoPlayer({
       timeRange,
     });
 
-    // we only want this to change when recordings update
+    // we only want this to change when controller or recordings update
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [controller, recordings]);
 
@@ -253,38 +272,48 @@ export default function DynamicVideoPlayer({
 
   return (
     <>
-      <HlsVideoPlayer
-        videoRef={playerRef}
-        containerRef={containerRef}
-        visible={!(isScrubbing || isLoading)}
-        currentSource={source}
-        hotKeys={hotKeys}
-        supportsFullscreen={supportsFullscreen}
-        fullscreen={fullscreen}
-        inpointOffset={inpointOffset}
-        onTimeUpdate={onTimeUpdate}
-        onPlayerLoaded={onPlayerLoaded}
-        onClipEnded={onValidateClipEnd}
-        onPlaying={() => {
-          if (isScrubbing) {
-            playerRef.current?.pause();
-          }
+      {source && (
+        <HlsVideoPlayer
+          videoRef={playerRef}
+          containerRef={containerRef}
+          visible={!(isScrubbing || isLoading)}
+          currentSource={source}
+          hotKeys={hotKeys}
+          supportsFullscreen={supportsFullscreen}
+          fullscreen={fullscreen}
+          inpointOffset={inpointOffset}
+          onTimeUpdate={onTimeUpdate}
+          onPlayerLoaded={onPlayerLoaded}
+          onClipEnded={onValidateClipEnd}
+          onSeekToTime={(timestamp, play) => {
+            if (onSeekToTime) {
+              onSeekToTime(timestamp, play);
+            }
+          }}
+          onPlaying={() => {
+            if (isScrubbing) {
+              playerRef.current?.pause();
+            }
 
-          if (loadingTimeout) {
-            clearTimeout(loadingTimeout);
-          }
+            if (loadingTimeout) {
+              clearTimeout(loadingTimeout);
+            }
 
-          setNoRecording(false);
-        }}
-        setFullResolution={setFullResolution}
-        onUploadFrame={onUploadFrameToPlus}
-        toggleFullscreen={toggleFullscreen}
-        onError={(error) => {
-          if (error == "stalled" && !isScrubbing) {
-            setIsBuffering(true);
-          }
-        }}
-      />
+            setNoRecording(false);
+          }}
+          setFullResolution={setFullResolution}
+          onUploadFrame={onUploadFrameToPlus}
+          toggleFullscreen={toggleFullscreen}
+          onError={(error) => {
+            if (error == "stalled" && !isScrubbing) {
+              setIsBuffering(true);
+            }
+          }}
+          isDetailMode={isDetailMode}
+          camera={contextCamera || camera}
+          currentTimeOverride={currentTime}
+        />
+      )}
       <PreviewPlayer
         className={cn(
           className,
diff --git a/web/src/components/settings/CameraEditForm.tsx b/web/src/components/settings/CameraEditForm.tsx
index 983a8167d..50db13882 100644
--- a/web/src/components/settings/CameraEditForm.tsx
+++ b/web/src/components/settings/CameraEditForm.tsx
@@ -9,33 +9,24 @@ import {
 } from "@/components/ui/form";
 import { Input } from "@/components/ui/input";
 import { Switch } from "@/components/ui/switch";
+import { Card, CardContent } from "@/components/ui/card";
 import Heading from "@/components/ui/heading";
 import { Separator } from "@/components/ui/separator";
 import { zodResolver } from "@hookform/resolvers/zod";
 import { useForm, useFieldArray } from "react-hook-form";
 import { z } from "zod";
 import axios from "axios";
-import { toast, Toaster } from "sonner";
+import { toast } from "sonner";
 import { useTranslation } from "react-i18next";
-import { useState, useMemo } from "react";
+import { useState, useMemo, useEffect } from "react";
 import { LuTrash2, LuPlus } from "react-icons/lu";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import { FrigateConfig } from "@/types/frigateConfig";
 import useSWR from "swr";
-
-type ConfigSetBody = {
-  requires_restart: number;
-  // TODO: type this better
-  // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  config_data: any;
-  update_topic?: string;
-};
-const generateFixedHash = (name: string): string => {
-  const encoded = encodeURIComponent(name);
-  const base64 = btoa(encoded);
-  const cleanHash = base64.replace(/[^a-zA-Z0-9]/g, "").substring(0, 8);
-  return `cam_${cleanHash.toLowerCase()}`;
-};
+import { processCameraName } from "@/utils/cameraUtil";
+import { Label } from "@/components/ui/label";
+import { ConfigSetBody } from "@/types/cameraWizard";
+import { Toaster } from "../ui/sonner";
 
 const RoleEnum = z.enum(["audio", "detect", "record"]);
 type Role = z.infer<typeof RoleEnum>;
@@ -52,7 +43,15 @@ export default function CameraEditForm({
   onCancel,
 }: CameraEditFormProps) {
   const { t } = useTranslation(["views/settings"]);
-  const { data: config } = useSWR<FrigateConfig>("config");
+  const { data: config, mutate: mutateConfig } =
+    useSWR<FrigateConfig>("config");
+  const { data: rawPaths, mutate: mutateRawPaths } = useSWR<{
+    cameras: Record<
+      string,
+      { ffmpeg: { inputs: { path: string; roles: string[] }[] } }
+    >;
+    go2rtc: { streams: Record<string, string | string[]> };
+  }>(cameraName ? "config/raw_paths" : null);
   const [isLoading, setIsLoading] = useState(false);
 
   const formSchema = useMemo(
@@ -60,22 +59,26 @@ export default function CameraEditForm({
       z.object({
         cameraName: z
           .string()
-          .min(1, { message: t("camera.cameraConfig.nameRequired") }),
+          .min(1, { message: t("cameraManagement.cameraConfig.nameRequired") }),
         enabled: z.boolean(),
         ffmpeg: z.object({
           inputs: z
             .array(
               z.object({
                 path: z.string().min(1, {
-                  message: t("camera.cameraConfig.ffmpeg.pathRequired"),
+                  message: t(
+                    "cameraManagement.cameraConfig.ffmpeg.pathRequired",
+                  ),
                 }),
                 roles: z.array(RoleEnum).min(1, {
-                  message: t("camera.cameraConfig.ffmpeg.rolesRequired"),
+                  message: t(
+                    "cameraManagement.cameraConfig.ffmpeg.rolesRequired",
+                  ),
                 }),
               }),
             )
             .min(1, {
-              message: t("camera.cameraConfig.ffmpeg.inputsRequired"),
+              message: t("cameraManagement.cameraConfig.ffmpeg.inputsRequired"),
             })
             .refine(
               (inputs) => {
@@ -93,11 +96,12 @@ export default function CameraEditForm({
                 );
               },
               {
-                message: t("camera.cameraConfig.ffmpeg.rolesUnique"),
+                message: t("cameraManagement.cameraConfig.ffmpeg.rolesUnique"),
                 path: ["inputs"],
               },
             ),
         }),
+        go2rtcStreams: z.record(z.string(), z.array(z.string())).optional(),
       }),
     [t],
   );
@@ -110,6 +114,7 @@ export default function CameraEditForm({
         friendly_name: undefined,
         name: cameraName || "",
         roles: new Set<Role>(),
+        go2rtcStreams: {},
       };
     }
 
@@ -120,10 +125,14 @@ export default function CameraEditForm({
       input.roles.forEach((role) => roles.add(role as Role));
     });
 
+    // Load existing go2rtc streams
+    const go2rtcStreams = config.go2rtc?.streams || {};
+
     return {
       friendly_name: camera?.friendly_name || cameraName,
       name: cameraName,
       roles,
+      go2rtcStreams,
     };
   }, [cameraName, config]);
 
@@ -138,18 +147,65 @@ export default function CameraEditForm({
         },
       ],
     },
+    go2rtcStreams: {},
   };
 
   // Load existing camera config if editing
   if (cameraName && config?.cameras[cameraName]) {
     const camera = config.cameras[cameraName];
     defaultValues.enabled = camera.enabled ?? true;
-    defaultValues.ffmpeg.inputs = camera.ffmpeg?.inputs?.length
-      ? camera.ffmpeg.inputs.map((input) => ({
+
+    // Use raw paths from the admin endpoint if available, otherwise fall back to masked paths
+    const rawCameraData = rawPaths?.cameras?.[cameraName];
+    defaultValues.ffmpeg.inputs = rawCameraData?.ffmpeg?.inputs?.length
+      ? rawCameraData.ffmpeg.inputs.map((input) => ({
           path: input.path,
           roles: input.roles as Role[],
         }))
-      : defaultValues.ffmpeg.inputs;
+      : camera.ffmpeg?.inputs?.length
+        ? camera.ffmpeg.inputs.map((input) => ({
+            path: input.path,
+            roles: input.roles as Role[],
+          }))
+        : defaultValues.ffmpeg.inputs;
+
+    const go2rtcStreams =
+      rawPaths?.go2rtc?.streams || config.go2rtc?.streams || {};
+    const cameraStreams: Record<string, string[]> = {};
+
+    // get candidate stream names for this camera. could be the camera's own name,
+    // any restream names referenced by this camera, or any keys under live --> streams
+    const validNames = new Set<string>();
+    validNames.add(cameraName);
+
+    // deduce go2rtc stream names from rtsp restream inputs
+    camera.ffmpeg?.inputs?.forEach((input) => {
+      // exclude any query strings or trailing slashes from the stream name
+      const restreamMatch = input.path.match(
+        /^rtsp:\/\/127\.0\.0\.1:8554\/([^?#/]+)(?:[?#].*)?$/,
+      );
+      if (restreamMatch) {
+        const streamName = restreamMatch[1];
+        validNames.add(streamName);
+      }
+    });
+
+    // Include live --> streams keys
+    const liveStreams = camera?.live?.streams;
+    if (liveStreams) {
+      Object.keys(liveStreams).forEach((key) => {
+        validNames.add(key);
+      });
+    }
+
+    // Map only go2rtc entries that match the collected names
+    Object.entries(go2rtcStreams).forEach(([name, urls]) => {
+      if (validNames.has(name)) {
+        cameraStreams[name] = Array.isArray(urls) ? urls : [urls];
+      }
+    });
+
+    defaultValues.go2rtcStreams = cameraStreams;
   }
 
   const form = useForm<FormValues>({
@@ -158,6 +214,60 @@ export default function CameraEditForm({
     mode: "onChange",
   });
 
+  // Update form values when rawPaths loads
+  useEffect(() => {
+    if (
+      cameraName &&
+      config?.cameras[cameraName] &&
+      rawPaths?.cameras?.[cameraName]
+    ) {
+      const camera = config.cameras[cameraName];
+      const rawCameraData = rawPaths.cameras[cameraName];
+
+      // Update ffmpeg inputs with raw paths
+      if (rawCameraData.ffmpeg?.inputs?.length) {
+        form.setValue(
+          "ffmpeg.inputs",
+          rawCameraData.ffmpeg.inputs.map((input) => ({
+            path: input.path,
+            roles: input.roles as Role[],
+          })),
+        );
+      }
+
+      // Update go2rtc streams with raw URLs
+      if (rawPaths.go2rtc?.streams) {
+        const validNames = new Set<string>();
+        validNames.add(cameraName);
+
+        camera.ffmpeg?.inputs?.forEach((input) => {
+          const restreamMatch = input.path.match(
+            /^rtsp:\/\/127\.0\.0\.1:8554\/([^?#/]+)(?:[?#].*)?$/,
+          );
+          if (restreamMatch) {
+            validNames.add(restreamMatch[1]);
+          }
+        });
+
+        const liveStreams = camera?.live?.streams;
+        if (liveStreams) {
+          Object.keys(liveStreams).forEach((key) => validNames.add(key));
+        }
+
+        const cameraStreams: Record<string, string[]> = {};
+        Object.entries(rawPaths.go2rtc.streams).forEach(([name, urls]) => {
+          if (validNames.has(name)) {
+            cameraStreams[name] = Array.isArray(urls) ? urls : [urls];
+          }
+        });
+
+        if (Object.keys(cameraStreams).length > 0) {
+          form.setValue("go2rtcStreams", cameraStreams);
+        }
+      }
+    }
+  }, [cameraName, config, rawPaths, form]);
+
   const { fields, append, remove } = useFieldArray({
     control: form.control,
     name: "ffmpeg.inputs",
@@ -166,21 +276,20 @@ export default function CameraEditForm({
   // Watch ffmpeg.inputs to track used roles
   const watchedInputs = form.watch("ffmpeg.inputs");
 
+  // Watch go2rtc streams
+  const watchedGo2rtcStreams = form.watch("go2rtcStreams") || {};
+
   const saveCameraConfig = (values: FormValues) => {
     setIsLoading(true);
-    let finalCameraName = values.cameraName;
-    let friendly_name: string | undefined = undefined;
-    const isValidName = /^[a-zA-Z0-9_-]+$/.test(values.cameraName);
-    if (!isValidName) {
-      finalCameraName = generateFixedHash(finalCameraName);
-      friendly_name = values.cameraName;
-    }
+    const { finalCameraName, friendlyName } = processCameraName(
+      values.cameraName,
+    );
 
     const configData: ConfigSetBody["config_data"] = {
       cameras: {
         [finalCameraName]: {
           enabled: values.enabled,
-          ...(friendly_name && { friendly_name }),
+          ...(friendlyName && { friendly_name: friendlyName }),
           ffmpeg: {
             inputs: values.ffmpeg.inputs.map((input) => ({
               path: input.path,
@@ -191,6 +300,13 @@ export default function CameraEditForm({
       },
     };
 
+    // Add go2rtc streams if provided
+    if (values.go2rtcStreams && Object.keys(values.go2rtcStreams).length > 0) {
+      configData.go2rtc = {
+        streams: values.go2rtcStreams,
+      };
+    }
+
     const requestBody: ConfigSetBody = {
       requires_restart: 1,
       config_data: configData,
@@ -205,13 +321,40 @@ export default function CameraEditForm({
       .put("config/set", requestBody)
       .then((res) => {
         if (res.status === 200) {
-          toast.success(
-            t("camera.cameraConfig.toast.success", {
-              cameraName: values.cameraName,
-            }),
-            { position: "top-center" },
-          );
-          if (onSave) onSave();
+          // Update running go2rtc instance if streams were configured
+          if (
+            values.go2rtcStreams &&
+            Object.keys(values.go2rtcStreams).length > 0
+          ) {
+            const updatePromises = Object.entries(values.go2rtcStreams).map(
+              ([streamName, urls]) =>
+                axios.put(
+                  `go2rtc/streams/${streamName}?src=${encodeURIComponent(urls[0])}`,
+                ),
+            );
+
+            Promise.allSettled(updatePromises).then(() => {
+              toast.success(
+                t("cameraManagement.cameraConfig.toast.success", {
+                  cameraName: values.cameraName,
+                }),
+                { position: "top-center" },
+              );
+              mutateConfig();
+              mutateRawPaths();
+              if (onSave) onSave();
+            });
+          } else {
+            toast.success(
+              t("cameraManagement.cameraConfig.toast.success", {
+                cameraName: values.cameraName,
+              }),
+              { position: "top-center" },
+            );
+            mutateConfig();
+            mutateRawPaths();
+            if (onSave) onSave();
+          }
         } else {
           throw new Error(res.statusText);
         }
@@ -238,11 +381,11 @@ export default function CameraEditForm({
       values.cameraName !== cameraInfo?.friendly_name
     ) {
       // If camera name changed, delete old camera config
-      const deleteRequestBody: ConfigSetBody = {
+      const deleteRequestBody = {
         requires_restart: 1,
         config_data: {
           cameras: {
-            [cameraName]: "",
+            [cameraName]: null,
           },
         },
         update_topic: `config/cameras/${cameraName}/remove`,
@@ -289,15 +432,15 @@ export default function CameraEditForm({
   };
 
   return (
-    <>
+    <div className="scrollbar-container max-w-4xl overflow-y-auto md:mb-24">
       <Toaster position="top-center" closeButton />
       <Heading as="h3" className="my-2">
         {cameraName
-          ? t("camera.cameraConfig.edit")
-          : t("camera.cameraConfig.add")}
+          ? t("cameraManagement.cameraConfig.edit")
+          : t("cameraManagement.cameraConfig.add")}
       </Heading>
       <div className="my-3 text-sm text-muted-foreground">
-        {t("camera.cameraConfig.description")}
+        {t("cameraManagement.cameraConfig.description")}
       </div>
       <Separator className="my-3 bg-secondary" />
 
@@ -308,10 +451,12 @@ export default function CameraEditForm({
             name="cameraName"
             render={({ field }) => (
               <FormItem>
-                <FormLabel>{t("camera.cameraConfig.name")}</FormLabel>
+                <FormLabel>{t("cameraManagement.cameraConfig.name")}</FormLabel>
                 <FormControl>
                   <Input
-                    placeholder={t("camera.cameraConfig.namePlaceholder")}
+                    placeholder={t(
+                      "cameraManagement.cameraConfig.namePlaceholder",
+                    )}
                     {...field}
                     disabled={!!cameraName} // Prevent editing name for existing cameras
                   />
@@ -332,107 +477,251 @@ export default function CameraEditForm({
                     onCheckedChange={field.onChange}
                   />
                 </FormControl>
-                <FormLabel>{t("camera.cameraConfig.enabled")}</FormLabel>
+                <FormLabel>
+                  {t("cameraManagement.cameraConfig.enabled")}
+                </FormLabel>
                 <FormMessage />
               </FormItem>
             )}
           />
 
-          <div>
-            <FormLabel>{t("camera.cameraConfig.ffmpeg.inputs")}</FormLabel>
+          <div className="space-y-4">
+            <Label className="text-sm font-medium">
+              {t("cameraManagement.cameraConfig.ffmpeg.inputs")}
+            </Label>
             {fields.map((field, index) => (
-              <div
-                key={field.id}
-                className="mt-2 space-y-4 rounded-md border p-4"
-              >
-                <FormField
-                  control={form.control}
-                  name={`ffmpeg.inputs.${index}.path`}
-                  render={({ field }) => (
-                    <FormItem>
-                      <FormLabel>
-                        {t("camera.cameraConfig.ffmpeg.path")}
-                      </FormLabel>
-                      <FormControl>
-                        <Input
-                          placeholder={t(
-                            "camera.cameraConfig.ffmpeg.pathPlaceholder",
-                          )}
-                          {...field}
-                        />
-                      </FormControl>
-                      <FormMessage />
-                    </FormItem>
-                  )}
-                />
+              <Card key={field.id} className="bg-secondary text-primary">
+                <CardContent className="space-y-4 p-4">
+                  <div className="flex items-center justify-between">
+                    <h4 className="font-medium">
+                      {t("cameraWizard.step2.streamTitle", {
+                        number: index + 1,
+                      })}
+                    </h4>
+                    <Button
+                      variant="ghost"
+                      size="sm"
+                      onClick={() => remove(index)}
+                      disabled={fields.length === 1}
+                      className="text-secondary-foreground hover:text-secondary-foreground"
+                    >
+                      <LuTrash2 className="size-5" />
+                    </Button>
+                  </div>
 
-                <FormField
-                  control={form.control}
-                  name={`ffmpeg.inputs.${index}.roles`}
-                  render={({ field }) => (
-                    <FormItem>
-                      <FormLabel>
-                        {t("camera.cameraConfig.ffmpeg.roles")}
-                      </FormLabel>
-                      <FormControl>
-                        <div className="flex flex-wrap gap-2">
-                          {(["audio", "detect", "record"] as const).map(
-                            (role) => (
-                              <label
+                  <FormField
+                    control={form.control}
+                    name={`ffmpeg.inputs.${index}.path`}
+                    render={({ field }) => (
+                      <FormItem>
+                        <FormLabel className="text-sm font-medium">
+                          {t("cameraManagement.cameraConfig.ffmpeg.path")}
+                        </FormLabel>
+                        <FormControl>
+                          <Input
+                            className="h-8"
+                            placeholder={t(
+                              "cameraManagement.cameraConfig.ffmpeg.pathPlaceholder",
+                            )}
+                            {...field}
+                          />
+                        </FormControl>
+                        <FormMessage />
+                      </FormItem>
+                    )}
+                  />
+
+                  <div className="space-y-2">
+                    <Label className="text-sm font-medium">
+                      {t("cameraManagement.cameraConfig.ffmpeg.roles")}
+                    </Label>
+                    <div className="rounded-lg bg-background p-3">
+                      <div className="flex flex-wrap gap-2">
+                        {(["detect", "record", "audio"] as const).map(
+                          (role) => {
+                            const isUsedElsewhere =
+                              getUsedRolesExcludingIndex(index).has(role);
+                            const isChecked =
+                              watchedInputs[index]?.roles?.includes(role) ||
+                              false;
+                            return (
+                              <div
                                 key={role}
-                                className="flex items-center space-x-2"
+                                className="flex w-full items-center justify-between"
                               >
-                                <input
-                                  type="checkbox"
-                                  checked={field.value.includes(role)}
-                                  onChange={(e) => {
-                                    const updatedRoles = e.target.checked
-                                      ? [...field.value, role]
-                                      : field.value.filter((r) => r !== role);
-                                    field.onChange(updatedRoles);
+                                <span className="text-sm capitalize">
+                                  {role}
+                                </span>
+                                <Switch
+                                  checked={isChecked}
+                                  onCheckedChange={(checked) => {
+                                    const currentRoles =
+                                      watchedInputs[index]?.roles || [];
+                                    const updatedRoles = checked
+                                      ? [...currentRoles, role]
+                                      : currentRoles.filter((r) => r !== role);
+                                    form.setValue(
+                                      `ffmpeg.inputs.${index}.roles`,
+                                      updatedRoles,
+                                    );
                                   }}
-                                  disabled={
-                                    !field.value.includes(role) &&
-                                    getUsedRolesExcludingIndex(index).has(role)
-                                  }
+                                  disabled={!isChecked && isUsedElsewhere}
                                 />
-                                <span>{role}</span>
-                              </label>
-                            ),
-                          )}
-                        </div>
-                      </FormControl>
-                      <FormMessage />
-                    </FormItem>
-                  )}
-                />
-
-                <Button
-                  variant="destructive"
-                  size="sm"
-                  onClick={() => remove(index)}
-                  disabled={fields.length === 1}
-                >
-                  <LuTrash2 className="mr-2 h-4 w-4" />
-                  {t("camera.cameraConfig.ffmpeg.removeInput")}
-                </Button>
-              </div>
+                              </div>
+                            );
+                          },
+                        )}
+                      </div>
+                    </div>
+                  </div>
+                </CardContent>
+              </Card>
             ))}
             <FormMessage>
               {form.formState.errors.ffmpeg?.inputs?.root &&
                 form.formState.errors.ffmpeg.inputs.root.message}
             </FormMessage>
             <Button
-              variant="outline"
-              size="sm"
-              className="mt-2"
+              type="button"
               onClick={() => append({ path: "", roles: getAvailableRoles() })}
+              variant="outline"
+              className=""
             >
-              <LuPlus className="mr-2 h-4 w-4" />
-              {t("camera.cameraConfig.ffmpeg.addInput")}
+              <LuPlus className="mr-2 size-4" />
+              {t("cameraManagement.cameraConfig.ffmpeg.addInput")}
             </Button>
           </div>
 
+          {/* go2rtc Streams Section */}
+          {Object.keys(watchedGo2rtcStreams).length > 0 && (
+            <div className="space-y-4">
+              <Label className="text-sm font-medium">
+                {t("cameraManagement.cameraConfig.go2rtcStreams")}
+              </Label>
+              {Object.entries(watchedGo2rtcStreams).map(
+                ([streamName, urls]) => (
+                  <Card key={streamName} className="bg-secondary text-primary">
+                    <CardContent className="space-y-4 p-4">
+                      <div className="flex items-center justify-between">
+                        <h4 className="font-medium">{streamName}</h4>
+                        <Button
+                          variant="ghost"
+                          size="sm"
+                          onClick={() => {
+                            const updatedStreams = { ...watchedGo2rtcStreams };
+                            delete updatedStreams[streamName];
+                            form.setValue("go2rtcStreams", updatedStreams);
+                          }}
+                          className="text-secondary-foreground hover:text-secondary-foreground"
+                        >
+                          <LuTrash2 className="size-5" />
+                        </Button>
+                      </div>
+
+                      <div className="space-y-2">
+                        <Label className="text-sm font-medium">
+                          {t("cameraManagement.cameraConfig.streamUrls")}
+                        </Label>
+                        {(Array.isArray(urls) ? urls : [urls]).map(
+                          (url, urlIndex) => (
+                            <div
+                              key={urlIndex}
+                              className="flex items-center gap-2"
+                            >
+                              <Input
+                                className="h-8 flex-1"
+                                value={url}
+                                onChange={(e) => {
+                                  const updatedStreams = {
+                                    ...watchedGo2rtcStreams,
+                                  };
+                                  const currentUrls = Array.isArray(
+                                    updatedStreams[streamName],
+                                  )
+                                    ? updatedStreams[streamName]
+                                    : [updatedStreams[streamName]];
+                                  currentUrls[urlIndex] = e.target.value;
+                                  updatedStreams[streamName] = currentUrls;
+                                  form.setValue(
+                                    "go2rtcStreams",
+                                    updatedStreams,
+                                  );
+                                }}
+                                placeholder="rtsp://username:password@host:port/path"
+                              />
+                              {(Array.isArray(urls) ? urls : [urls]).length >
+                                1 && (
+                                <Button
+                                  variant="ghost"
+                                  size="sm"
+                                  onClick={() => {
+                                    const updatedStreams = {
+                                      ...watchedGo2rtcStreams,
+                                    };
+                                    const currentUrls = Array.isArray(
+                                      updatedStreams[streamName],
+                                    )
+                                      ? updatedStreams[streamName]
+                                      : [updatedStreams[streamName]];
+                                    currentUrls.splice(urlIndex, 1);
+                                    updatedStreams[streamName] = currentUrls;
+                                    form.setValue(
+                                      "go2rtcStreams",
+                                      updatedStreams,
+                                    );
+                                  }}
+                                  className="text-secondary-foreground hover:text-secondary-foreground"
+                                >
+                                  <LuTrash2 className="size-4" />
+                                </Button>
+                              )}
+                            </div>
+                          ),
+                        )}
+                        <Button
+                          type="button"
+                          variant="outline"
+                          size="sm"
+                          onClick={() => {
+                            const updatedStreams = { ...watchedGo2rtcStreams };
+                            const currentUrls = Array.isArray(
+                              updatedStreams[streamName],
+                            )
+                              ? updatedStreams[streamName]
+                              : [updatedStreams[streamName]];
+                            currentUrls.push("");
+                            updatedStreams[streamName] = currentUrls;
+                            form.setValue("go2rtcStreams", updatedStreams);
+                          }}
+                          className="w-fit"
+                        >
+                          <LuPlus className="mr-2 size-4" />
+                          {t("cameraManagement.cameraConfig.addUrl")}
+                        </Button>
+                      </div>
+                    </CardContent>
+                  </Card>
+                ),
+              )}
+              <Button
+                type="button"
+                onClick={() => {
+                  const streamName = `${cameraName}_stream_${Object.keys(watchedGo2rtcStreams).length + 1}`;
+                  const updatedStreams = {
+                    ...watchedGo2rtcStreams,
+                    [streamName]: [""],
+                  };
+                  form.setValue("go2rtcStreams", updatedStreams);
+                }}
+                variant="outline"
+                className=""
+              >
+                <LuPlus className="mr-2 size-4" />
+                {t("cameraManagement.cameraConfig.addGo2rtcStream")}
+              </Button>
+            </div>
+          )}
+
           <div className="flex w-full flex-row items-center gap-2 pt-2 md:w-[50%]">
             <Button
               className="flex flex-1"
@@ -461,6 +750,6 @@ export default function CameraEditForm({
           </div>
         </form>
       </Form>
-    </>
+    </div>
   );
 }
diff --git a/web/src/components/settings/CameraStreamingDialog.tsx b/web/src/components/settings/CameraStreamingDialog.tsx
index 62b0a1472..b7f1979ea 100644
--- a/web/src/components/settings/CameraStreamingDialog.tsx
+++ b/web/src/components/settings/CameraStreamingDialog.tsx
@@ -34,10 +34,12 @@ import { LiveStreamMetadata } from "@/types/live";
 import { Trans, useTranslation } from "react-i18next";
 import { useDocDomain } from "@/hooks/use-doc-domain";
 import { useCameraFriendlyName } from "@/hooks/use-camera-friendly-name";
+import { detectCameraAudioFeatures } from "@/utils/cameraUtil";
 
 type CameraStreamingDialogProps = {
   camera: string;
   groupStreamingSettings: GroupStreamingSettings;
+  streamMetadata?: { [key: string]: LiveStreamMetadata };
   setGroupStreamingSettings: React.Dispatch<
     React.SetStateAction<GroupStreamingSettings>
   >;
@@ -48,6 +50,7 @@ type CameraStreamingDialogProps = {
 export function CameraStreamingDialog({
   camera,
   groupStreamingSettings,
+  streamMetadata,
   setGroupStreamingSettings,
   setIsDialogOpen,
   onSave,
@@ -76,28 +79,13 @@ export function CameraStreamingDialog({
     [config, streamName],
   );
 
-  const { data: cameraMetadata } = useSWR<LiveStreamMetadata>(
-    isRestreamed ? `go2rtc/streams/${streamName}` : null,
-    {
-      revalidateOnFocus: false,
-    },
+  const cameraMetadata = streamName ? streamMetadata?.[streamName] : undefined;
+
+  const { audioOutput: supportsAudioOutput } = useMemo(
+    () => detectCameraAudioFeatures(cameraMetadata),
+    [cameraMetadata],
   );
 
-  const supportsAudioOutput = useMemo(() => {
-    if (!cameraMetadata) {
-      return false;
-    }
-
-    return (
-      cameraMetadata.producers.find(
-        (prod) =>
-          prod.medias &&
-          prod.medias.find((media) => media.includes("audio, recvonly")) !=
-            undefined,
-      ) != undefined
-    );
-  }, [cameraMetadata]);
-
   // handlers
 
   useEffect(() => {
diff --git a/web/src/components/settings/CameraWizardDialog.tsx b/web/src/components/settings/CameraWizardDialog.tsx
new file mode 100644
index 000000000..5846fd9a2
--- /dev/null
+++ b/web/src/components/settings/CameraWizardDialog.tsx
@@ -0,0 +1,431 @@
+import StepIndicator from "@/components/indicators/StepIndicator";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import { useTranslation } from "react-i18next";
+import { useCallback, useState, useEffect, useReducer } from "react";
+import { toast } from "sonner";
+import useSWR from "swr";
+import axios from "axios";
+import Step1NameCamera from "@/components/settings/wizard/Step1NameCamera";
+import Step2ProbeOrSnapshot from "@/components/settings/wizard/Step2ProbeOrSnapshot";
+import Step3StreamConfig from "@/components/settings/wizard/Step3StreamConfig";
+import Step4Validation from "@/components/settings/wizard/Step4Validation";
+import type {
+  WizardFormData,
+  CameraConfigData,
+  ConfigSetBody,
+} from "@/types/cameraWizard";
+import { processCameraName } from "@/utils/cameraUtil";
+import { cn } from "@/lib/utils";
+
+type WizardState = {
+  wizardData: Partial<WizardFormData>;
+  shouldNavigateNext: boolean;
+};
+
+type WizardAction =
+  | { type: "UPDATE_DATA"; payload: Partial<WizardFormData> }
+  | { type: "UPDATE_AND_NEXT"; payload: Partial<WizardFormData> }
+  | { type: "RESET_NAVIGATE" }
+  | { type: "RESET_ALL" };
+
+const wizardReducer = (
+  state: WizardState,
+  action: WizardAction,
+): WizardState => {
+  switch (action.type) {
+    case "UPDATE_DATA":
+      return {
+        ...state,
+        wizardData: { ...state.wizardData, ...action.payload },
+      };
+    case "UPDATE_AND_NEXT":
+      return {
+        wizardData: { ...state.wizardData, ...action.payload },
+        shouldNavigateNext: true,
+      };
+    case "RESET_NAVIGATE":
+      return { ...state, shouldNavigateNext: false };
+    case "RESET_ALL":
+      return {
+        wizardData: { streams: [] },
+        shouldNavigateNext: false,
+      };
+    default:
+      return state;
+  }
+};
+
+const STEPS = [
+  "cameraWizard.steps.nameAndConnection",
+  "cameraWizard.steps.probeOrSnapshot",
+  "cameraWizard.steps.streamConfiguration",
+  "cameraWizard.steps.validationAndTesting",
+];
+
+type CameraWizardDialogProps = {
+  open: boolean;
+  onClose: () => void;
+};
+
+export default function CameraWizardDialog({
+  open,
+  onClose,
+}: CameraWizardDialogProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const { mutate: updateConfig } = useSWR("config");
+  const [currentStep, setCurrentStep] = useState(0);
+  const [isLoading, setIsLoading] = useState(false);
+  const [state, dispatch] = useReducer(wizardReducer, {
+    wizardData: { streams: [] },
+    shouldNavigateNext: false,
+  });
+
+  // Reset wizard when opened
+  useEffect(() => {
+    if (open) {
+      setCurrentStep(0);
+      dispatch({ type: "RESET_ALL" });
+    }
+  }, [open]);
+
+  const handleClose = useCallback(() => {
+    setCurrentStep(0);
+    dispatch({ type: "RESET_ALL" });
+    onClose();
+  }, [onClose]);
+
+  const onUpdate = useCallback((data: Partial<WizardFormData>) => {
+    dispatch({ type: "UPDATE_DATA", payload: data });
+  }, []);
+
+  const canProceedToNext = useCallback((): boolean => {
+    switch (currentStep) {
+      case 0:
+        // Step 1: Can proceed if camera name is set
+        return !!state.wizardData.cameraName;
+      case 1:
+        // Step 2: Can proceed if at least one stream exists (from probe or manual test)
+        return (state.wizardData.streams?.length ?? 0) > 0;
+      case 2:
+        // Step 3: Can proceed if at least one stream has 'detect' role
+        return !!(
+          state.wizardData.streams?.some((stream) =>
+            stream.roles.includes("detect"),
+          ) ?? false
+        );
+      case 3:
+        // Step 4: Always can proceed from final step (save will be handled there)
+        return true;
+      default:
+        return false;
+    }
+  }, [currentStep, state.wizardData]);
+
+  const handleNext = useCallback(
+    (data?: Partial<WizardFormData>) => {
+      if (data) {
+        // Atomic update and navigate
+        dispatch({ type: "UPDATE_AND_NEXT", payload: data });
+      } else {
+        // Just navigate
+        if (currentStep < STEPS.length - 1 && canProceedToNext()) {
+          setCurrentStep((s) => s + 1);
+        }
+      }
+    },
+    [currentStep, canProceedToNext],
+  );
+
+  const handleBack = () => {
+    if (currentStep > 0) {
+      setCurrentStep(currentStep - 1);
+    }
+  };
+
+  // Handle navigation after atomic update
+  useEffect(() => {
+    if (state.shouldNavigateNext) {
+      if (currentStep < STEPS.length - 1 && canProceedToNext()) {
+        setCurrentStep((s) => s + 1);
+      }
+      dispatch({ type: "RESET_NAVIGATE" });
+    }
+  }, [state.shouldNavigateNext, currentStep, canProceedToNext]);
+
+  // Handle wizard save
+  const handleSave = useCallback(
+    (wizardData: WizardFormData) => {
+      if (!wizardData.cameraName || !wizardData.streams) {
+        toast.error("Invalid wizard data");
+        return;
+      }
+
+      setIsLoading(true);
+
+      // Process camera name and friendly name
+      const { finalCameraName, friendlyName } = processCameraName(
+        wizardData.cameraName,
+      );
+
+      // Convert wizard data to Frigate config format
+      const configData: CameraConfigData = {
+        cameras: {
+          [finalCameraName]: {
+            enabled: true,
+            ...(friendlyName && { friendly_name: friendlyName }),
+            ffmpeg: {
+              inputs: wizardData.streams.map((stream, index) => {
+                if (stream.restream) {
+                  const go2rtcStreamName =
+                    wizardData.streams!.length === 1
+                      ? finalCameraName
+                      : `${finalCameraName}_${index + 1}`;
+                  return {
+                    path: `rtsp://127.0.0.1:8554/${go2rtcStreamName}`,
+                    input_args: "preset-rtsp-restream",
+                    roles: stream.roles,
+                  };
+                } else {
+                  return {
+                    path: stream.url,
+                    roles: stream.roles,
+                  };
+                }
+              }),
+            },
+          },
+        },
+      };
+
+      // Add live.streams configuration for go2rtc streams
+      if (wizardData.streams && wizardData.streams.length > 0) {
+        configData.cameras[finalCameraName].live = {
+          streams: {},
+        };
+        wizardData.streams.forEach((_, index) => {
+          const go2rtcStreamName =
+            wizardData.streams!.length === 1
+              ? finalCameraName
+              : `${finalCameraName}_${index + 1}`;
+          configData.cameras[finalCameraName].live!.streams[
+            `Stream ${index + 1}`
+          ] = go2rtcStreamName;
+        });
+      }
+
+      const requestBody: ConfigSetBody = {
+        requires_restart: 1,
+        config_data: configData,
+        update_topic: `config/cameras/${finalCameraName}/add`,
+      };
+
+      axios
+        .put("config/set", requestBody)
+        .then((response) => {
+          if (response.status === 200) {
+            // Configure go2rtc streams for all streams
+            if (wizardData.streams && wizardData.streams.length > 0) {
+              const go2rtcStreams: Record<string, string[]> = {};
+
+              wizardData.streams.forEach((stream, index) => {
+                // Use camera name with index suffix for multiple streams
+                const streamName =
+                  wizardData.streams!.length === 1
+                    ? finalCameraName
+                    : `${finalCameraName}_${index + 1}`;
+
+                const streamUrl = stream.useFfmpeg
+                  ? `ffmpeg:${stream.url}`
+                  : stream.url;
+
+                if (wizardData.hasBackchannel ?? false) {
+                  // Add two streams: one with #backchannel=0 and one without
+                  // in order to avoid taking control of the microphone during connections
+                  go2rtcStreams[streamName] = [
+                    `${streamUrl}#backchannel=0`,
+                    streamUrl,
+                  ];
+                } else {
+                  // Add single stream as normal
+                  go2rtcStreams[streamName] = [streamUrl];
+                }
+              });
+
+              if (Object.keys(go2rtcStreams).length > 0) {
+                // Update frigate go2rtc config for persistence
+                const go2rtcConfigData = {
+                  go2rtc: {
+                    streams: go2rtcStreams,
+                  },
+                };
+
+                const go2rtcRequestBody = {
+                  requires_restart: 0,
+                  config_data: go2rtcConfigData,
+                };
+
+                axios
+                  .put("config/set", go2rtcRequestBody)
+                  .then(() => {
+                    // also update the running go2rtc instance for immediate effect
+                    const updatePromises = Object.entries(go2rtcStreams).map(
+                      ([streamName, urls]) =>
+                        axios.put(
+                          `go2rtc/streams/${streamName}?src=${encodeURIComponent(urls[0])}`,
+                        ),
+                    );
+
+                    Promise.allSettled(updatePromises).then(() => {
+                      toast.success(
+                        t("cameraWizard.save.success", {
+                          cameraName: friendlyName || finalCameraName,
+                        }),
+                        { position: "top-center" },
+                      );
+                      updateConfig();
+                      onClose();
+                    });
+                  })
+                  .catch(() => {
+                    // log the error but don't fail the entire save
+                    toast.warning(
+                      t("cameraWizard.save.failure", {
+                        cameraName: friendlyName || finalCameraName,
+                      }),
+                      { position: "top-center" },
+                    );
+                    updateConfig();
+                    onClose();
+                  });
+              } else {
+                // No valid streams found
+                toast.success(
+                  t("cameraWizard.save.failure", {
+                    cameraName: friendlyName || finalCameraName,
+                  }),
+                  { position: "top-center" },
+                );
+                updateConfig();
+                onClose();
+              }
+            } else {
+              toast.success(
+                t("camera.cameraConfig.toast.success", {
+                  cameraName: wizardData.cameraName,
+                }),
+                { position: "top-center" },
+              );
+              updateConfig();
+              onClose();
+            }
+          } else {
+            throw new Error(response.statusText);
+          }
+        })
+        .catch((error) => {
+          const apiError = error as {
+            response?: { data?: { message?: string; detail?: string } };
+            message?: string;
+          };
+          const errorMessage =
+            apiError.response?.data?.message ||
+            apiError.response?.data?.detail ||
+            apiError.message ||
+            "Unknown error";
+
+          toast.error(
+            t("toast.save.error.title", {
+              errorMessage,
+              ns: "common",
+            }),
+            { position: "top-center" },
+          );
+        })
+        .finally(() => {
+          setIsLoading(false);
+        });
+    },
+    [updateConfig, t, onClose],
+  );
+
+  return (
+    <Dialog open={open} onOpenChange={handleClose}>
+      <DialogContent
+        className={cn(
+          "scrollbar-container max-h-[90dvh] max-w-3xl overflow-y-auto",
+        )}
+        onInteractOutside={(e) => {
+          e.preventDefault();
+        }}
+      >
+        <StepIndicator
+          steps={STEPS}
+          currentStep={currentStep}
+          variant="dots"
+          className="mb-4 justify-start"
+        />
+        <DialogHeader>
+          <DialogTitle>{t("cameraWizard.title")}</DialogTitle>
+          {currentStep === 0 && (
+            <DialogDescription>
+              {t("cameraWizard.description")}
+            </DialogDescription>
+          )}
+        </DialogHeader>
+
+        {currentStep > 0 && state.wizardData.cameraName && (
+          <div className="text-center text-primary-variant md:text-start">
+            {state.wizardData.cameraName}
+          </div>
+        )}
+
+        <div className="pb-4">
+          <div className="size-full">
+            {currentStep === 0 && (
+              <Step1NameCamera
+                wizardData={state.wizardData}
+                onUpdate={onUpdate}
+                onNext={handleNext}
+                onCancel={handleClose}
+                canProceed={canProceedToNext()}
+              />
+            )}
+            {currentStep === 1 && (
+              <Step2ProbeOrSnapshot
+                wizardData={state.wizardData}
+                onUpdate={onUpdate}
+                onNext={handleNext}
+                onBack={handleBack}
+                probeMode={state.wizardData.probeMode ?? true}
+              />
+            )}
+            {currentStep === 2 && (
+              <Step3StreamConfig
+                wizardData={state.wizardData}
+                onUpdate={onUpdate}
+                onBack={handleBack}
+                onNext={handleNext}
+                canProceed={canProceedToNext()}
+              />
+            )}
+            {currentStep === 3 && (
+              <Step4Validation
+                wizardData={state.wizardData}
+                onUpdate={onUpdate}
+                onSave={handleSave}
+                onBack={handleBack}
+                isLoading={isLoading}
+              />
+            )}
+          </div>
+        </div>
+      </DialogContent>
+    </Dialog>
+  );
+}
diff --git a/web/src/components/settings/ObjectMaskEditPane.tsx b/web/src/components/settings/ObjectMaskEditPane.tsx
index c898531c4..2874c8b92 100644
--- a/web/src/components/settings/ObjectMaskEditPane.tsx
+++ b/web/src/components/settings/ObjectMaskEditPane.tsx
@@ -178,6 +178,19 @@ export default function ObjectMaskEditPane({
         filteredMask.splice(index, 0, coordinates);
       }
 
+      // prevent duplicating global masks under specific object filters
+      if (!globalMask) {
+        const globalObjectMasksArray = Array.isArray(cameraConfig.objects.mask)
+          ? cameraConfig.objects.mask
+          : cameraConfig.objects.mask
+            ? [cameraConfig.objects.mask]
+            : [];
+
+        filteredMask = filteredMask.filter(
+          (mask) => !globalObjectMasksArray.includes(mask),
+        );
+      }
+
       queryString = filteredMask
         .map((pointsArray) => {
           const coordinates = flattenPoints(parseCoordinates(pointsArray)).join(
diff --git a/web/src/components/settings/PolygonCanvas.tsx b/web/src/components/settings/PolygonCanvas.tsx
index 9adc2f09e..307393eae 100644
--- a/web/src/components/settings/PolygonCanvas.tsx
+++ b/web/src/components/settings/PolygonCanvas.tsx
@@ -262,13 +262,17 @@ export function PolygonCanvas({
   };
 
   useEffect(() => {
-    if (activePolygonIndex === undefined || !polygons) {
+    if (activePolygonIndex === undefined || !polygons?.length) {
       return;
     }
 
     const updatedPolygons = [...polygons];
     const activePolygon = updatedPolygons[activePolygonIndex];
 
+    if (!activePolygon) {
+      return;
+    }
+
     // add default points order for already completed polygons
     if (!activePolygon.pointsOrder && activePolygon.isFinished) {
       updatedPolygons[activePolygonIndex] = {
diff --git a/web/src/components/settings/PolygonItem.tsx b/web/src/components/settings/PolygonItem.tsx
index e58f02e1d..a734ccaa5 100644
--- a/web/src/components/settings/PolygonItem.tsx
+++ b/web/src/components/settings/PolygonItem.tsx
@@ -26,7 +26,7 @@ import {
   toRGBColorString,
 } from "@/utils/canvasUtil";
 import { Polygon, PolygonType } from "@/types/canvas";
-import { useCallback, useContext, useMemo, useState } from "react";
+import { useCallback, useMemo, useState } from "react";
 import axios from "axios";
 import { Toaster } from "@/components/ui/sonner";
 import { toast } from "sonner";
@@ -34,7 +34,6 @@ import useSWR from "swr";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { reviewQueries } from "@/utils/zoneEdutUtil";
 import IconWrapper from "../ui/icon-wrapper";
-import { StatusBarMessagesContext } from "@/context/statusbar-provider";
 import { buttonVariants } from "../ui/button";
 import { Trans, useTranslation } from "react-i18next";
 
@@ -61,7 +60,6 @@ export default function PolygonItem({
   const { data: config, mutate: updateConfig } =
     useSWR<FrigateConfig>("config");
   const [deleteDialogOpen, setDeleteDialogOpen] = useState(false);
-  const { addMessage } = useContext(StatusBarMessagesContext)!;
   const [isLoading, setIsLoading] = useState(false);
 
   const cameraConfig = useMemo(() => {
@@ -171,15 +169,27 @@ export default function PolygonItem({
         }
       }
 
+      const updateTopicType =
+        polygon.type === "zone"
+          ? "zones"
+          : polygon.type === "motion_mask"
+            ? "motion"
+            : polygon.type === "object_mask"
+              ? "objects"
+              : polygon.type;
+
       setIsLoading(true);
 
       await axios
-        .put(`config/set?${url}`, { requires_restart: 0 })
+        .put(`config/set?${url}`, {
+          requires_restart: 0,
+          update_topic: `config/cameras/${polygon.camera}/${updateTopicType}`,
+        })
         .then((res) => {
           if (res.status === 200) {
             toast.success(
               t("masksAndZones.form.polygonDrawing.delete.success", {
-                name: polygon?.name,
+                name: polygon?.friendly_name ?? polygon?.name,
               }),
               {
                 position: "top-center",
@@ -220,12 +230,6 @@ export default function PolygonItem({
   const handleDelete = () => {
     setActivePolygonIndex(undefined);
     saveToConfig(polygon);
-    addMessage(
-      "masks_zones",
-      t("masksAndZones.restart_required"),
-      undefined,
-      "masks_zones",
-    );
   };
 
   return (
@@ -261,7 +265,9 @@ export default function PolygonItem({
               }}
             />
           )}
-          <p className="cursor-default">{polygon.name}</p>
+          <p className="cursor-default">
+            {polygon.friendly_name ?? polygon.name}
+          </p>
         </div>
         <AlertDialog
           open={deleteDialogOpen}
@@ -278,7 +284,7 @@ export default function PolygonItem({
                 ns="views/settings"
                 values={{
                   type: polygon.type.replace("_", " "),
-                  name: polygon.name,
+                  name: polygon.friendly_name ?? polygon.name,
                 }}
               >
                 masksAndZones.form.polygonDrawing.delete.desc
diff --git a/web/src/components/settings/SearchSettings.tsx b/web/src/components/settings/SearchSettings.tsx
index 74301ee1d..54d1f801a 100644
--- a/web/src/components/settings/SearchSettings.tsx
+++ b/web/src/components/settings/SearchSettings.tsx
@@ -136,11 +136,10 @@ export default function ExploreSettings({
     <PlatformAwareDialog
       trigger={trigger}
       content={content}
-      contentClassName={
-        isDesktop
-          ? "scrollbar-container h-auto max-h-[80dvh] overflow-y-auto"
-          : "max-h-[75dvh] overflow-hidden p-4"
-      }
+      contentClassName={cn(
+        "scrollbar-container h-auto overflow-y-auto",
+        isDesktop ? "max-h-[80dvh]" : "px-4",
+      )}
       open={open}
       onOpenChange={(open) => {
         setOpen(open);
diff --git a/web/src/components/settings/ZoneEditPane.tsx b/web/src/components/settings/ZoneEditPane.tsx
index 67f5f690a..ebcb5d2ed 100644
--- a/web/src/components/settings/ZoneEditPane.tsx
+++ b/web/src/components/settings/ZoneEditPane.tsx
@@ -34,6 +34,7 @@ import { Link } from "react-router-dom";
 import { LuExternalLink } from "react-icons/lu";
 import { useDocDomain } from "@/hooks/use-doc-domain";
 import { getTranslatedLabel } from "@/utils/i18n";
+import NameAndIdFields from "../input/NameAndIdFields";
 
 type ZoneEditPaneProps = {
   polygons?: Polygon[];
@@ -146,10 +147,37 @@ export default function ZoneEditPane({
               "masksAndZones.form.zoneName.error.mustNotContainPeriod",
             ),
           },
+        ),
+      friendly_name: z
+        .string()
+        .min(2, {
+          message: t(
+            "masksAndZones.form.zoneName.error.mustBeAtLeastTwoCharacters",
+          ),
+        })
+        .refine(
+          (value: string) => {
+            return !cameras.map((cam) => cam.name).includes(value);
+          },
+          {
+            message: t(
+              "masksAndZones.form.zoneName.error.mustNotBeSameWithCamera",
+            ),
+          },
         )
-        .refine((value: string) => /^[a-zA-Z0-9_-]+$/.test(value), {
-          message: t("masksAndZones.form.zoneName.error.hasIllegalCharacter"),
-        }),
+        .refine(
+          (value: string) => {
+            const otherPolygonNames =
+              polygons
+                ?.filter((_, index) => index !== activePolygonIndex)
+                .map((polygon) => polygon.name) || [];
+
+            return !otherPolygonNames.includes(value);
+          },
+          {
+            message: t("masksAndZones.form.zoneName.error.alreadyExists"),
+          },
+        ),
       inertia: z.coerce
         .number()
         .min(1, {
@@ -242,6 +270,7 @@ export default function ZoneEditPane({
     mode: "onBlur",
     defaultValues: {
       name: polygon?.name ?? "",
+      friendly_name: polygon?.friendly_name ?? polygon?.name ?? "",
       inertia:
         polygon?.camera &&
         polygon?.name &&
@@ -281,6 +310,7 @@ export default function ZoneEditPane({
     async (
       {
         name: zoneName,
+        friendly_name,
         inertia,
         loitering_time,
         objects: form_objects,
@@ -410,9 +440,14 @@ export default function ZoneEditPane({
         }
       }
 
+      let friendlyNameQuery = "";
+      if (friendly_name && friendly_name !== zoneName) {
+        friendlyNameQuery = `&cameras.${polygon?.camera}.zones.${zoneName}.friendly_name=${encodeURIComponent(friendly_name)}`;
+      }
+
       axios
         .put(
-          `config/set?cameras.${polygon?.camera}.zones.${zoneName}.coordinates=${coordinates}${inertiaQuery}${loiteringTimeQuery}${speedThresholdQuery}${distancesQuery}${objectQueries}${alertQueries}${detectionQueries}`,
+          `config/set?cameras.${polygon?.camera}.zones.${zoneName}.coordinates=${coordinates}${inertiaQuery}${loiteringTimeQuery}${speedThresholdQuery}${distancesQuery}${objectQueries}${friendlyNameQuery}${alertQueries}${detectionQueries}`,
           {
             requires_restart: 0,
             update_topic: `config/cameras/${polygon.camera}/zones`,
@@ -422,7 +457,7 @@ export default function ZoneEditPane({
           if (res.status === 200) {
             toast.success(
               t("masksAndZones.zones.toast.success", {
-                zoneName,
+                zoneName: friendly_name || zoneName,
               }),
               {
                 position: "top-center",
@@ -536,26 +571,17 @@ export default function ZoneEditPane({
 
       <Form {...form}>
         <form onSubmit={form.handleSubmit(onSubmit)} className="mt-2 space-y-6">
-          <FormField
+          <NameAndIdFields
+            type="zone"
             control={form.control}
-            name="name"
-            render={({ field }) => (
-              <FormItem>
-                <FormLabel>{t("masksAndZones.zones.name.title")}</FormLabel>
-                <FormControl>
-                  <Input
-                    className="text-md w-full border border-input bg-background p-2 hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
-                    placeholder={t("masksAndZones.zones.name.inputPlaceHolder")}
-                    {...field}
-                  />
-                </FormControl>
-                <FormDescription>
-                  {t("masksAndZones.zones.name.tips")}
-                </FormDescription>
-                <FormMessage />
-              </FormItem>
-            )}
+            nameField="friendly_name"
+            idField="name"
+            idVisible={(polygon && polygon.name.length > 0) ?? false}
+            nameLabel={t("masksAndZones.zones.name.title")}
+            nameDescription={t("masksAndZones.zones.name.tips")}
+            placeholderName={t("masksAndZones.zones.name.inputPlaceHolder")}
           />
+
           <Separator className="my-2 flex bg-secondary" />
           <FormField
             control={form.control}
diff --git a/web/src/components/settings/wizard/OnvifProbeResults.tsx b/web/src/components/settings/wizard/OnvifProbeResults.tsx
new file mode 100644
index 000000000..c4f02dd08
--- /dev/null
+++ b/web/src/components/settings/wizard/OnvifProbeResults.tsx
@@ -0,0 +1,363 @@
+import { useTranslation } from "react-i18next";
+import { Card, CardContent } from "@/components/ui/card";
+import { Button } from "@/components/ui/button";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
+import { FaCopy, FaCheck } from "react-icons/fa";
+import { LuX } from "react-icons/lu";
+import { CiCircleAlert } from "react-icons/ci";
+import { Alert, AlertDescription, AlertTitle } from "@/components/ui/alert";
+import { useState } from "react";
+import { toast } from "sonner";
+import type {
+  OnvifProbeResponse,
+  OnvifRtspCandidate,
+  TestResult,
+  CandidateTestMap,
+} from "@/types/cameraWizard";
+import { FaCircleCheck } from "react-icons/fa6";
+import { cn } from "@/lib/utils";
+import { maskUri } from "@/utils/cameraUtil";
+
+type OnvifProbeResultsProps = {
+  isLoading: boolean;
+  isError: boolean;
+  error?: string;
+  probeResult?: OnvifProbeResponse;
+  onRetry: () => void;
+  selectedUris?: string[];
+  testCandidate?: (uri: string) => void;
+  candidateTests?: CandidateTestMap;
+  testingCandidates?: Record<string, boolean>;
+};
+
+export default function OnvifProbeResults({
+  isLoading,
+  isError,
+  error,
+  probeResult,
+  onRetry,
+  selectedUris,
+  testCandidate,
+  candidateTests,
+  testingCandidates,
+}: OnvifProbeResultsProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const [copiedUri, setCopiedUri] = useState<string | null>(null);
+
+  const handleCopyUri = (uri: string) => {
+    navigator.clipboard.writeText(uri);
+    setCopiedUri(uri);
+    toast.success(t("cameraWizard.step2.uriCopied"));
+    setTimeout(() => setCopiedUri(null), 2000);
+  };
+
+  if (isLoading) {
+    return (
+      <div className="flex flex-col items-center justify-center gap-4 py-8">
+        <ActivityIndicator className="size-6" />
+        <p className="text-sm text-muted-foreground">
+          {t("cameraWizard.step2.probingDevice")}
+        </p>
+      </div>
+    );
+  }
+
+  if (isError) {
+    return (
+      <div className="space-y-4">
+        <Alert variant="destructive">
+          <CiCircleAlert className="size-5" />
+          <AlertTitle>{t("cameraWizard.step2.probeError")}</AlertTitle>
+          {error && <AlertDescription>{error}</AlertDescription>}
+        </Alert>
+        <Button onClick={onRetry} variant="outline" className="w-full">
+          {t("button.retry", { ns: "common" })}
+        </Button>
+      </div>
+    );
+  }
+
+  if (!probeResult?.success) {
+    return (
+      <div className="space-y-4">
+        <Alert variant="destructive">
+          <CiCircleAlert className="size-5" />
+          <AlertTitle>{t("cameraWizard.step2.probeNoSuccess")}</AlertTitle>
+          {probeResult?.message && (
+            <AlertDescription>{probeResult.message}</AlertDescription>
+          )}
+        </Alert>
+        <Button onClick={onRetry} variant="outline" className="w-full">
+          {t("button.retry", { ns: "common" })}
+        </Button>
+      </div>
+    );
+  }
+
+  const rtspCandidates = (probeResult.rtsp_candidates || []).filter(
+    (c) => c.source === "GetStreamUri",
+  );
+
+  if (probeResult?.success && rtspCandidates.length === 0) {
+    return (
+      <div className="space-y-4">
+        <Alert variant="destructive">
+          <CiCircleAlert className="size-5" />
+          <AlertTitle>{t("cameraWizard.step2.noRtspCandidates")}</AlertTitle>
+        </Alert>
+      </div>
+    );
+  }
+
+  return (
+    <>
+      <div className="space-y-2">
+        {probeResult?.success && (
+          <div className="mb-3 flex flex-row items-center gap-2 text-sm text-success">
+            <FaCircleCheck className="size-4" />
+            <span>{t("cameraWizard.step2.probeSuccessful")}</span>
+          </div>
+        )}
+        <div className="text-sm">{t("cameraWizard.step2.deviceInfo")}</div>
+        <Card>
+          <CardContent className="space-y-2 p-4 text-sm">
+            {probeResult.manufacturer && (
+              <div>
+                <span className="text-muted-foreground">
+                  {t("cameraWizard.step2.manufacturer")}:
+                </span>{" "}
+                <span className="text-primary-variant">
+                  {probeResult.manufacturer}
+                </span>
+              </div>
+            )}
+            {probeResult.model && (
+              <div>
+                <span className="text-muted-foreground">
+                  {t("cameraWizard.step2.model")}:
+                </span>{" "}
+                <span className="text-primary-variant">
+                  {probeResult.model}
+                </span>
+              </div>
+            )}
+            {probeResult.firmware_version && (
+              <div>
+                <span className="text-muted-foreground">
+                  {t("cameraWizard.step2.firmware")}:
+                </span>{" "}
+                <span className="text-primary-variant">
+                  {probeResult.firmware_version}
+                </span>
+              </div>
+            )}
+            {probeResult.profiles_count !== undefined && (
+              <div>
+                <span className="text-muted-foreground">
+                  {t("cameraWizard.step2.profiles")}:
+                </span>{" "}
+                <span className="text-primary-variant">
+                  {probeResult.profiles_count}
+                </span>
+              </div>
+            )}
+            {probeResult.ptz_supported !== undefined && (
+              <div>
+                <span className="text-muted-foreground">
+                  {t("cameraWizard.step2.ptzSupport")}:
+                </span>{" "}
+                <span className="text-primary-variant">
+                  {probeResult.ptz_supported
+                    ? t("button.yes", { ns: "common" })
+                    : t("button.no", { ns: "common" })}
+                </span>
+              </div>
+            )}
+            {probeResult.ptz_supported && probeResult.autotrack_supported && (
+              <div>
+                <span className="text-muted-foreground">
+                  {t("cameraWizard.step2.autotrackingSupport")}:
+                </span>{" "}
+                <span className="text-primary-variant">
+                  {t("button.yes", { ns: "common" })}
+                </span>
+              </div>
+            )}
+            {probeResult.ptz_supported &&
+              probeResult.presets_count !== undefined && (
+                <div>
+                  <span className="text-muted-foreground">
+                    {t("cameraWizard.step2.presets")}:
+                  </span>{" "}
+                  <span className="text-primary-variant">
+                    {probeResult.presets_count}
+                  </span>
+                </div>
+              )}
+          </CardContent>
+        </Card>
+      </div>
+      <div className="space-y-2">
+        {rtspCandidates.length > 0 && (
+          <div className="mt-5 space-y-2">
+            <div className="text-sm">
+              {t("cameraWizard.step2.rtspCandidates")}
+            </div>
+            <div className="text-sm text-muted-foreground">
+              {t("cameraWizard.step2.rtspCandidatesDescription")}
+            </div>
+
+            <div className="space-y-2">
+              {rtspCandidates.map((candidate, idx) => {
+                const isSelected = !!selectedUris?.includes(candidate.uri);
+                const candidateTest = candidateTests?.[candidate.uri];
+                const isTesting = testingCandidates?.[candidate.uri];
+
+                return (
+                  <CandidateItem
+                    key={idx}
+                    index={idx}
+                    candidate={candidate}
+                    copiedUri={copiedUri}
+                    onCopy={() => handleCopyUri(candidate.uri)}
+                    isSelected={isSelected}
+                    testCandidate={testCandidate}
+                    candidateTest={candidateTest}
+                    isTesting={isTesting}
+                  />
+                );
+              })}
+            </div>
+          </div>
+        )}
+      </div>
+    </>
+  );
+}
+
+type CandidateItemProps = {
+  candidate: OnvifRtspCandidate;
+  index?: number;
+  copiedUri: string | null;
+  onCopy: () => void;
+  isSelected?: boolean;
+  testCandidate?: (uri: string) => void;
+  candidateTest?: TestResult | { success: false; error: string };
+  isTesting?: boolean;
+};
+
+function CandidateItem({
+  index,
+  candidate,
+  copiedUri,
+  onCopy,
+  isSelected,
+  testCandidate,
+  candidateTest,
+  isTesting,
+}: CandidateItemProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const [showFull, setShowFull] = useState(false);
+
+  return (
+    <Card
+      className={cn(
+        isSelected &&
+          "outline outline-[3px] -outline-offset-[2.8px] outline-selected duration-200",
+      )}
+    >
+      <CardContent className="p-4">
+        <div className="flex flex-col space-y-4">
+          <div className="flex items-center justify-between">
+            <div>
+              <h4 className="font-medium">
+                {t("cameraWizard.step2.candidateStreamTitle", {
+                  number: (index ?? 0) + 1,
+                })}
+              </h4>
+              {candidateTest?.success && (
+                <div className="mt-1 text-sm text-muted-foreground">
+                  {[
+                    candidateTest.resolution,
+                    candidateTest.fps
+                      ? `${candidateTest.fps} ${t(
+                          "cameraWizard.testResultLabels.fps",
+                        )}`
+                      : null,
+                    candidateTest.videoCodec,
+                    candidateTest.audioCodec,
+                  ]
+                    .filter(Boolean)
+                    .join(" · ")}
+                </div>
+              )}
+            </div>
+
+            <div className="flex flex-shrink-0 items-center gap-2">
+              {candidateTest?.success && (
+                <div className="flex items-center gap-2 text-sm">
+                  <FaCircleCheck className="size-4 text-success" />
+                  <span className="text-success">
+                    {t("cameraWizard.step2.connected")}
+                  </span>
+                </div>
+              )}
+
+              {candidateTest && !candidateTest.success && (
+                <div className="flex items-center gap-2 text-sm">
+                  <LuX className="size-4 text-danger" />
+                  <span className="text-danger">
+                    {t("cameraWizard.step2.notConnected")}
+                  </span>
+                </div>
+              )}
+            </div>
+          </div>
+
+          <div className="mt-1 flex items-start gap-2">
+            <p
+              className="flex-1 cursor-pointer break-all text-sm text-primary-variant hover:underline"
+              onClick={() => setShowFull((s) => !s)}
+              title={t("cameraWizard.step2.toggleUriView")}
+            >
+              {showFull ? candidate.uri : maskUri(candidate.uri)}
+            </p>
+
+            <div className="flex items-center gap-2">
+              <Button
+                size="sm"
+                variant="ghost"
+                onClick={onCopy}
+                className="mr-4 size-8 p-0"
+                title={t("cameraWizard.step2.uriCopy")}
+              >
+                {copiedUri === candidate.uri ? (
+                  <FaCheck className="size-3" />
+                ) : (
+                  <FaCopy className="size-3" />
+                )}
+              </Button>
+
+              <Button
+                size="sm"
+                variant="outline"
+                disabled={isTesting}
+                onClick={() => testCandidate?.(candidate.uri)}
+                className="h-8 px-3 text-sm"
+              >
+                {isTesting ? (
+                  <>
+                    <ActivityIndicator className="mr-2 size-4" />{" "}
+                    {t("cameraWizard.step2.testConnection")}
+                  </>
+                ) : (
+                  t("cameraWizard.step2.testConnection")
+                )}
+              </Button>
+            </div>
+          </div>
+        </div>
+      </CardContent>
+    </Card>
+  );
+}
diff --git a/web/src/components/settings/wizard/Step1NameCamera.tsx b/web/src/components/settings/wizard/Step1NameCamera.tsx
new file mode 100644
index 000000000..741aa4b05
--- /dev/null
+++ b/web/src/components/settings/wizard/Step1NameCamera.tsx
@@ -0,0 +1,474 @@
+import { Button } from "@/components/ui/button";
+import {
+  Form,
+  FormControl,
+  FormDescription,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+} from "@/components/ui/form";
+import { Checkbox } from "@/components/ui/checkbox";
+import { Input } from "@/components/ui/input";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "@/components/ui/select";
+import { RadioGroup, RadioGroupItem } from "@/components/ui/radio-group";
+import { useForm } from "react-hook-form";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { z } from "zod";
+import { useTranslation } from "react-i18next";
+import { useState, useCallback, useMemo } from "react";
+import { LuEye, LuEyeOff } from "react-icons/lu";
+import useSWR from "swr";
+import { FrigateConfig } from "@/types/frigateConfig";
+import {
+  WizardFormData,
+  CameraBrand,
+  CAMERA_BRANDS,
+  CAMERA_BRAND_VALUES,
+} from "@/types/cameraWizard";
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from "@/components/ui/popover";
+import { LuInfo } from "react-icons/lu";
+
+type Step1NameCameraProps = {
+  wizardData: Partial<WizardFormData>;
+  onUpdate: (data: Partial<WizardFormData>) => void;
+  onNext: (data?: Partial<WizardFormData>) => void;
+  onCancel: () => void;
+  canProceed?: boolean;
+};
+
+export default function Step1NameCamera({
+  wizardData,
+  onUpdate,
+  onNext,
+  onCancel,
+}: Step1NameCameraProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const { data: config } = useSWR<FrigateConfig>("config");
+  const [showPassword, setShowPassword] = useState(false);
+  const [probeMode, setProbeMode] = useState<boolean>(
+    wizardData.probeMode ?? true,
+  );
+
+  const existingCameraNames = useMemo(() => {
+    if (!config?.cameras) {
+      return [];
+    }
+    return Object.keys(config.cameras);
+  }, [config]);
+
+  const step1FormData = z
+    .object({
+      cameraName: z
+        .string()
+        .min(1, t("cameraWizard.step1.errors.nameRequired"))
+        .max(64, t("cameraWizard.step1.errors.nameLength"))
+        .refine(
+          (value) => !existingCameraNames.includes(value),
+          t("cameraWizard.step1.errors.nameExists"),
+        ),
+      host: z.string().optional(),
+      username: z.string().optional(),
+      password: z.string().optional(),
+      brandTemplate: z.enum(CAMERA_BRAND_VALUES).optional(),
+      onvifPort: z.coerce.number().int().min(1).max(65535).optional(),
+      useDigestAuth: z.boolean().optional(),
+      customUrl: z
+        .string()
+        .optional()
+        .refine(
+          (val) => !val || val.startsWith("rtsp://"),
+          t("cameraWizard.step1.errors.customUrlRtspRequired"),
+        ),
+    })
+    .refine(
+      (data) => {
+        // If brand is "other", customUrl is required
+        if (data.brandTemplate === "other") {
+          return data.customUrl && data.customUrl.trim().length > 0;
+        }
+        // If brand is not "other", host is required
+        return data.host && data.host.trim().length > 0;
+      },
+      {
+        message: t("cameraWizard.step1.errors.brandOrCustomUrlRequired"),
+        path: ["customUrl"],
+      },
+    );
+
+  const form = useForm<z.infer<typeof step1FormData>>({
+    resolver: zodResolver(step1FormData),
+    defaultValues: {
+      cameraName: wizardData.cameraName || "",
+      host: wizardData.host || "",
+      username: wizardData.username || "",
+      password: wizardData.password || "",
+      brandTemplate:
+        wizardData.brandTemplate &&
+        CAMERA_BRAND_VALUES.includes(wizardData.brandTemplate as CameraBrand)
+          ? (wizardData.brandTemplate as CameraBrand)
+          : "dahua",
+      customUrl: wizardData.customUrl || "",
+      onvifPort: wizardData.onvifPort ?? 80,
+      useDigestAuth: wizardData.useDigestAuth ?? false,
+    },
+    mode: "onChange",
+  });
+
+  const watchedBrand = form.watch("brandTemplate");
+  const watchedHost = form.watch("host");
+  const watchedCustomUrl = form.watch("customUrl");
+
+  const hostPresent = !!(watchedHost && watchedHost.trim());
+  const customPresent = !!(watchedCustomUrl && watchedCustomUrl.trim());
+  const cameraNamePresent = !!(form.getValues().cameraName || "").trim();
+
+  const isContinueButtonEnabled =
+    cameraNamePresent &&
+    (probeMode
+      ? hostPresent
+      : watchedBrand === "other"
+        ? customPresent
+        : hostPresent);
+
+  const onSubmit = (data: z.infer<typeof step1FormData>) => {
+    onUpdate({ ...data, probeMode });
+  };
+
+  const handleContinue = useCallback(async () => {
+    const isValid = await form.trigger();
+    if (isValid) {
+      const data = form.getValues();
+      onNext({ ...data, probeMode });
+    }
+  }, [form, probeMode, onNext]);
+
+  return (
+    <div className="space-y-6">
+      <div className="text-sm text-muted-foreground">
+        {t("cameraWizard.step1.description")}
+      </div>
+
+      <Form {...form}>
+        <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-4">
+          <FormField
+            control={form.control}
+            name="cameraName"
+            render={({ field }) => (
+              <FormItem>
+                <FormLabel className="text-primary-variant">
+                  {t("cameraWizard.step1.cameraName")}
+                </FormLabel>
+                <FormControl>
+                  <Input
+                    className="text-md h-8"
+                    placeholder={t("cameraWizard.step1.cameraNamePlaceholder")}
+                    {...field}
+                  />
+                </FormControl>
+                <FormMessage />
+              </FormItem>
+            )}
+          />
+
+          <div className="space-y-4">
+            <FormField
+              control={form.control}
+              name="host"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel className="text-primary-variant">
+                    {t("cameraWizard.step1.host")}
+                  </FormLabel>
+                  <FormControl>
+                    <Input
+                      className="text-md h-8"
+                      placeholder="192.168.1.100"
+                      {...field}
+                    />
+                  </FormControl>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+
+            <FormField
+              control={form.control}
+              name="username"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel className="text-primary-variant">
+                    {t("cameraWizard.step1.username")}
+                  </FormLabel>
+                  <FormControl>
+                    <Input
+                      className="text-md h-8"
+                      placeholder={t("cameraWizard.step1.usernamePlaceholder")}
+                      {...field}
+                    />
+                  </FormControl>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+
+            <FormField
+              control={form.control}
+              name="password"
+              render={({ field }) => (
+                <FormItem>
+                  <FormLabel className="text-primary-variant">
+                    {t("cameraWizard.step1.password")}
+                  </FormLabel>
+                  <FormControl>
+                    <div className="relative">
+                      <Input
+                        className="text-md h-8 pr-10"
+                        type={showPassword ? "text" : "password"}
+                        placeholder={t(
+                          "cameraWizard.step1.passwordPlaceholder",
+                        )}
+                        {...field}
+                      />
+                      <Button
+                        type="button"
+                        variant="ghost"
+                        size="sm"
+                        className="absolute right-0 top-0 h-full px-3 py-2 hover:bg-transparent"
+                        onClick={() => setShowPassword(!showPassword)}
+                      >
+                        {showPassword ? (
+                          <LuEyeOff className="size-4" />
+                        ) : (
+                          <LuEye className="size-4" />
+                        )}
+                      </Button>
+                    </div>
+                  </FormControl>
+                  <FormMessage />
+                </FormItem>
+              )}
+            />
+          </div>
+
+          <div className="space-y-3 pt-4">
+            <FormLabel className="text-primary-variant">
+              {t("cameraWizard.step1.detectionMethod")}
+            </FormLabel>
+            <RadioGroup
+              value={probeMode ? "probe" : "manual"}
+              onValueChange={(value) => {
+                setProbeMode(value === "probe");
+              }}
+            >
+              <div className="flex items-center space-x-2">
+                <RadioGroupItem
+                  value="probe"
+                  id="probe-mode"
+                  className={
+                    probeMode
+                      ? "bg-selected from-selected/50 to-selected/90 text-selected"
+                      : "bg-secondary from-secondary/50 to-secondary/90 text-secondary"
+                  }
+                />
+                <label htmlFor="probe-mode" className="cursor-pointer text-sm">
+                  {t("cameraWizard.step1.probeMode")}
+                </label>
+              </div>
+              <div className="flex items-center space-x-2">
+                <RadioGroupItem
+                  value="manual"
+                  id="manual-mode"
+                  className={
+                    !probeMode
+                      ? "bg-selected from-selected/50 to-selected/90 text-selected"
+                      : "bg-secondary from-secondary/50 to-secondary/90 text-secondary"
+                  }
+                />
+                <label htmlFor="manual-mode" className="cursor-pointer text-sm">
+                  {t("cameraWizard.step1.manualMode")}
+                </label>
+              </div>
+            </RadioGroup>
+            <FormDescription>
+              {t("cameraWizard.step1.detectionMethodDescription")}
+            </FormDescription>
+          </div>
+
+          {probeMode && (
+            <FormField
+              control={form.control}
+              name="onvifPort"
+              render={({ field, fieldState }) => (
+                <FormItem>
+                  <FormLabel className="text-primary-variant">
+                    {t("cameraWizard.step1.onvifPort")}
+                  </FormLabel>
+                  <FormControl>
+                    <Input
+                      className="text-md h-8"
+                      type="text"
+                      {...field}
+                      placeholder="80"
+                    />
+                  </FormControl>
+                  <FormDescription>
+                    {t("cameraWizard.step1.onvifPortDescription")}
+                  </FormDescription>
+                  <FormMessage>
+                    {fieldState.error ? fieldState.error.message : null}
+                  </FormMessage>
+                </FormItem>
+              )}
+            />
+          )}
+
+          {probeMode && (
+            <FormField
+              control={form.control}
+              name="useDigestAuth"
+              render={({ field }) => (
+                <FormItem className="flex items-start space-x-2">
+                  <FormControl>
+                    <Checkbox
+                      className="size-5 text-white accent-white data-[state=checked]:bg-selected data-[state=checked]:text-white"
+                      checked={!!field.value}
+                      onCheckedChange={(val) => field.onChange(!!val)}
+                    />
+                  </FormControl>
+                  <div className="flex flex-1 flex-col space-y-1">
+                    <FormLabel className="mb-0 text-primary-variant">
+                      {t("cameraWizard.step1.useDigestAuth")}
+                    </FormLabel>
+                    <FormDescription className="mt-0">
+                      {t("cameraWizard.step1.useDigestAuthDescription")}
+                    </FormDescription>
+                  </div>
+                </FormItem>
+              )}
+            />
+          )}
+
+          {!probeMode && (
+            <div className="space-y-4">
+              <FormField
+                control={form.control}
+                name="brandTemplate"
+                render={({ field }) => (
+                  <FormItem>
+                    <div className="flex items-center gap-1 pb-1">
+                      <FormLabel className="text-primary-variant">
+                        {t("cameraWizard.step1.cameraBrand")}
+                      </FormLabel>
+                      {field.value &&
+                        (() => {
+                          const selectedBrand = CAMERA_BRANDS.find(
+                            (brand) => brand.value === field.value,
+                          );
+                          return selectedBrand &&
+                            selectedBrand.value != "other" ? (
+                            <Popover modal={true}>
+                              <PopoverTrigger asChild>
+                                <Button
+                                  variant="ghost"
+                                  size="sm"
+                                  className="h-4 w-4 p-0"
+                                >
+                                  <LuInfo className="size-3" />
+                                </Button>
+                              </PopoverTrigger>
+                              <PopoverContent className="pointer-events-auto w-80 text-primary-variant">
+                                <div className="space-y-2">
+                                  <h4 className="font-medium">
+                                    {selectedBrand.label}
+                                  </h4>
+                                  <p className="break-all text-sm text-muted-foreground">
+                                    {t("cameraWizard.step1.brandUrlFormat", {
+                                      exampleUrl: selectedBrand.exampleUrl,
+                                    })}
+                                  </p>
+                                </div>
+                              </PopoverContent>
+                            </Popover>
+                          ) : null;
+                        })()}
+                    </div>
+                    <Select
+                      onValueChange={field.onChange}
+                      defaultValue={field.value}
+                    >
+                      <FormControl>
+                        <SelectTrigger className="h-8">
+                          <SelectValue
+                            placeholder={t("cameraWizard.step1.selectBrand")}
+                          />
+                        </SelectTrigger>
+                      </FormControl>
+                      <SelectContent>
+                        {CAMERA_BRANDS.map((brand) => (
+                          <SelectItem key={brand.value} value={brand.value}>
+                            {brand.label.toLowerCase() === "other"
+                              ? t("label.other", { ns: "common" })
+                              : brand.label}
+                          </SelectItem>
+                        ))}
+                      </SelectContent>
+                    </Select>
+                    <FormMessage />
+                  </FormItem>
+                )}
+              />
+
+              {watchedBrand == "other" && (
+                <FormField
+                  control={form.control}
+                  name="customUrl"
+                  render={({ field }) => (
+                    <FormItem>
+                      <FormLabel className="text-primary-variant">
+                        {t("cameraWizard.step1.customUrl")}
+                      </FormLabel>
+                      <FormControl>
+                        <Input
+                          className="text-md h-8"
+                          placeholder="rtsp://username:password@host:port/path"
+                          {...field}
+                        />
+                      </FormControl>
+                      <FormMessage />
+                    </FormItem>
+                  )}
+                />
+              )}
+            </div>
+          )}
+        </form>
+      </Form>
+
+      <div className="flex flex-col gap-3 pt-3 sm:flex-row sm:justify-end sm:gap-4">
+        <Button type="button" onClick={onCancel} className="sm:flex-1">
+          {t("button.cancel", { ns: "common" })}
+        </Button>
+        <Button
+          type="button"
+          onClick={handleContinue}
+          disabled={!isContinueButtonEnabled}
+          variant="select"
+          className="flex items-center justify-center gap-2 sm:flex-1"
+        >
+          {t("button.continue", { ns: "common" })}
+        </Button>
+      </div>
+    </div>
+  );
+}
diff --git a/web/src/components/settings/wizard/Step2ProbeOrSnapshot.tsx b/web/src/components/settings/wizard/Step2ProbeOrSnapshot.tsx
new file mode 100644
index 000000000..7a52c8d04
--- /dev/null
+++ b/web/src/components/settings/wizard/Step2ProbeOrSnapshot.tsx
@@ -0,0 +1,725 @@
+import { Button } from "@/components/ui/button";
+import { useTranslation } from "react-i18next";
+import { useState, useCallback, useEffect } from "react";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
+import axios from "axios";
+import { toast } from "sonner";
+import type {
+  WizardFormData,
+  TestResult,
+  StreamConfig,
+  StreamRole,
+  OnvifProbeResponse,
+  CandidateTestMap,
+  FfprobeStream,
+  FfprobeData,
+  FfprobeResponse,
+} from "@/types/cameraWizard";
+import { FaCircleCheck } from "react-icons/fa6";
+import { Card, CardContent, CardTitle } from "../../ui/card";
+import OnvifProbeResults from "./OnvifProbeResults";
+import { CAMERA_BRANDS } from "@/types/cameraWizard";
+import { detectReolinkCamera } from "@/utils/cameraUtil";
+
+type Step2ProbeOrSnapshotProps = {
+  wizardData: Partial<WizardFormData>;
+  onUpdate: (data: Partial<WizardFormData>) => void;
+  onNext: (data?: Partial<WizardFormData>) => void;
+  onBack: () => void;
+  probeMode: boolean;
+};
+
+export default function Step2ProbeOrSnapshot({
+  wizardData,
+  onUpdate,
+  onNext,
+  onBack,
+  probeMode,
+}: Step2ProbeOrSnapshotProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const [isTesting, setIsTesting] = useState(false);
+  const [testStatus, setTestStatus] = useState<string>("");
+  const [testResult, setTestResult] = useState<TestResult | null>(null);
+  const [isProbing, setIsProbing] = useState(false);
+  const [probeError, setProbeError] = useState<string | null>(null);
+  const [probeResult, setProbeResult] = useState<OnvifProbeResponse | null>(
+    null,
+  );
+  const [testingCandidates, setTestingCandidates] = useState<
+    Record<string, boolean>
+  >({} as Record<string, boolean>);
+  const [candidateTests, setCandidateTests] = useState<CandidateTestMap>(
+    {} as CandidateTestMap,
+  );
+
+  const probeUri = useCallback(
+    async (
+      uri: string,
+      fetchSnapshot = false,
+      setStatus?: (s: string) => void,
+    ): Promise<TestResult> => {
+      try {
+        const probeResponse = await axios.get("ffprobe", {
+          params: { paths: uri, detailed: true },
+          timeout: 10000,
+        });
+
+        let probeData: FfprobeResponse | null = null;
+        if (
+          probeResponse.data &&
+          probeResponse.data.length > 0 &&
+          probeResponse.data[0].return_code === 0
+        ) {
+          probeData = probeResponse.data[0];
+        }
+
+        if (!probeData) {
+          const error =
+            Array.isArray(probeResponse.data?.[0]?.stderr) &&
+            probeResponse.data[0].stderr.length > 0
+              ? probeResponse.data[0].stderr.join("\n")
+              : "Unable to probe stream";
+          return { success: false, error };
+        }
+
+        let ffprobeData: FfprobeData;
+        if (typeof probeData.stdout === "string") {
+          try {
+            ffprobeData = JSON.parse(probeData.stdout as string) as FfprobeData;
+          } catch {
+            ffprobeData = { streams: [] };
+          }
+        } else {
+          ffprobeData = probeData.stdout as FfprobeData;
+        }
+
+        const streams = ffprobeData.streams || [];
+
+        const videoStream = streams.find(
+          (s: FfprobeStream) =>
+            s.codec_type === "video" ||
+            s.codec_name?.includes("h264") ||
+            s.codec_name?.includes("hevc"),
+        );
+
+        const audioStream = streams.find(
+          (s: FfprobeStream) =>
+            s.codec_type === "audio" ||
+            s.codec_name?.includes("aac") ||
+            s.codec_name?.includes("mp3") ||
+            s.codec_name?.includes("pcm_mulaw") ||
+            s.codec_name?.includes("pcm_alaw"),
+        );
+
+        let resolution: string | undefined = undefined;
+        if (videoStream) {
+          const width = Number(videoStream.width || 0);
+          const height = Number(videoStream.height || 0);
+          if (width > 0 && height > 0) {
+            resolution = `${width}x${height}`;
+          }
+        }
+
+        const fps = videoStream?.avg_frame_rate
+          ? parseFloat(videoStream.avg_frame_rate.split("/")[0]) /
+            parseFloat(videoStream.avg_frame_rate.split("/")[1])
+          : undefined;
+
+        let snapshotBase64: string | undefined = undefined;
+        if (fetchSnapshot) {
+          if (setStatus) {
+            setStatus(t("cameraWizard.step2.testing.fetchingSnapshot"));
+          }
+          try {
+            const snapshotResponse = await axios.get("ffprobe/snapshot", {
+              params: { url: uri },
+              responseType: "blob",
+              timeout: 10000,
+            });
+            const snapshotBlob = snapshotResponse.data;
+            snapshotBase64 = await new Promise<string>((resolve) => {
+              const reader = new FileReader();
+              reader.onload = () => resolve(reader.result as string);
+              reader.readAsDataURL(snapshotBlob);
+            });
+          } catch (snapshotError) {
+            snapshotBase64 = undefined;
+          }
+        }
+
+        const streamTestResult: TestResult = {
+          success: true,
+          snapshot: snapshotBase64,
+          resolution,
+          videoCodec: videoStream?.codec_name,
+          audioCodec: audioStream?.codec_name,
+          fps: fps && !isNaN(fps) ? fps : undefined,
+        };
+
+        return streamTestResult;
+      } catch (err) {
+        const axiosError = err as {
+          response?: { data?: { message?: string; detail?: string } };
+          message?: string;
+        };
+        const errorMessage =
+          axiosError.response?.data?.message ||
+          axiosError.response?.data?.detail ||
+          axiosError.message ||
+          "Connection failed";
+        return { success: false, error: errorMessage };
+      }
+    },
+    [t],
+  );
+
+  const probeCamera = useCallback(async () => {
+    if (!wizardData.host) {
+      toast.error(t("cameraWizard.step2.errors.hostRequired"));
+      return;
+    }
+
+    setIsProbing(true);
+    setProbeError(null);
+    setProbeResult(null);
+
+    try {
+      const response = await axios.get("/onvif/probe", {
+        params: {
+          host: wizardData.host,
+          port: wizardData.onvifPort ?? 80,
+          username: wizardData.username || "",
+          password: wizardData.password || "",
+          test: false,
+          auth_type: wizardData.useDigestAuth ? "digest" : "basic",
+        },
+        timeout: 30000,
+      });
+
+      if (response.data && response.data.success) {
+        setProbeResult(response.data);
+        // Extract candidate URLs and pass to wizardData
+        const candidateUris = (response.data.rtsp_candidates || [])
+          .filter((c: { source: string }) => c.source === "GetStreamUri")
+          .map((c: { uri: string }) => c.uri);
+        onUpdate({
+          probeMode: true,
+          probeCandidates: candidateUris,
+          candidateTests: {},
+        });
+      } else {
+        setProbeError(response.data?.message || "Probe failed");
+      }
+    } catch (error) {
+      const axiosError = error as {
+        response?: { data?: { message?: string; detail?: string } };
+        message?: string;
+      };
+      const errorMessage =
+        axiosError.response?.data?.message ||
+        axiosError.response?.data?.detail ||
+        axiosError.message ||
+        "Failed to probe camera";
+      setProbeError(errorMessage);
+      toast.error(t("cameraWizard.step2.probeFailed", { error: errorMessage }));
+    } finally {
+      setIsProbing(false);
+    }
+  }, [wizardData, onUpdate, t]);
+
+  const testAllSelectedCandidates = useCallback(async () => {
+    const uris = (probeResult?.rtsp_candidates || [])
+      .filter((c) => c.source === "GetStreamUri")
+      .map((c) => c.uri);
+
+    if (!uris || uris.length === 0) {
+      toast.error(t("cameraWizard.commonErrors.noUrl"));
+      return;
+    }
+
+    // Prepare an initial stream so the wizard can proceed to step 3.
+    // Use the first candidate as the initial stream (no extra probing here).
+    const streamsToCreate: StreamConfig[] = [];
+    if (uris.length > 0) {
+      const first = uris[0];
+      streamsToCreate.push({
+        id: `stream_${Date.now()}`,
+        url: first,
+        roles: ["detect" as const],
+        testResult: candidateTests[first],
+      });
+    }
+
+    // Use existing candidateTests state (may contain entries from individual tests)
+    onNext({
+      probeMode: true,
+      probeCandidates: uris,
+      candidateTests: candidateTests,
+      streams: streamsToCreate,
+    });
+  }, [probeResult, candidateTests, onNext, t]);
+
+  const testCandidate = useCallback(
+    async (uri: string) => {
+      if (!uri) return;
+      setTestingCandidates((s) => ({ ...s, [uri]: true }));
+      try {
+        const result = await probeUri(uri, false);
+        setCandidateTests((s) => ({ ...s, [uri]: result }));
+      } finally {
+        setTestingCandidates((s) => ({ ...s, [uri]: false }));
+      }
+    },
+    [probeUri],
+  );
+
+  const generateDynamicStreamUrl = useCallback(
+    async (data: Partial<WizardFormData>): Promise<string | null> => {
+      const brand = CAMERA_BRANDS.find((b) => b.value === data.brandTemplate);
+      if (!brand || !data.host) return null;
+
+      let protocol = undefined;
+      if (data.brandTemplate === "reolink" && data.username && data.password) {
+        try {
+          protocol = await detectReolinkCamera(
+            data.host,
+            data.username,
+            data.password,
+          );
+        } catch (error) {
+          return null;
+        }
+      }
+
+      const protocolKey = protocol || "rtsp";
+      const templates: Record<string, string> = brand.dynamicTemplates || {};
+
+      if (Object.keys(templates).includes(protocolKey)) {
+        const template =
+          templates[protocolKey as keyof typeof brand.dynamicTemplates];
+        return template
+          .replace("{username}", data.username || "")
+          .replace("{password}", data.password || "")
+          .replace("{host}", data.host);
+      }
+
+      return null;
+    },
+    [],
+  );
+
+  const generateStreamUrl = useCallback(
+    async (data: Partial<WizardFormData>): Promise<string> => {
+      if (data.brandTemplate === "other") {
+        return data.customUrl || "";
+      }
+
+      const brand = CAMERA_BRANDS.find((b) => b.value === data.brandTemplate);
+      if (!brand || !data.host) return "";
+
+      if (brand.template === "dynamic" && "dynamicTemplates" in brand) {
+        const dynamicUrl = await generateDynamicStreamUrl(data);
+
+        if (dynamicUrl) {
+          return dynamicUrl;
+        }
+
+        return "";
+      }
+
+      return brand.template
+        .replace("{username}", data.username || "")
+        .replace("{password}", data.password || "")
+        .replace("{host}", data.host);
+    },
+    [generateDynamicStreamUrl],
+  );
+
+  const testConnection = useCallback(
+    async (showToast = true) => {
+      const streamUrl = await generateStreamUrl(wizardData);
+
+      if (!streamUrl) {
+        toast.error(t("cameraWizard.commonErrors.noUrl"));
+        return;
+      }
+
+      setIsTesting(true);
+      setTestStatus("");
+      setTestResult(null);
+
+      try {
+        setTestStatus(t("cameraWizard.step2.testing.probingMetadata"));
+        const result = await probeUri(streamUrl, true, setTestStatus);
+
+        if (result && result.success) {
+          setTestResult(result);
+          const streamId = `stream_${Date.now()}`;
+          onUpdate({
+            streams: [
+              {
+                id: streamId,
+                url: streamUrl,
+                roles: ["detect"] as StreamRole[],
+                testResult: result,
+              },
+            ],
+          });
+
+          if (showToast) {
+            toast.success(t("cameraWizard.step2.testSuccess"));
+          }
+        } else {
+          const errMsg = result?.error || "Unable to probe stream";
+          setTestResult({
+            success: false,
+            error: errMsg,
+          });
+
+          if (showToast) {
+            toast.error(
+              t("cameraWizard.commonErrors.testFailed", { error: errMsg }),
+              {
+                duration: 6000,
+              },
+            );
+          }
+        }
+      } catch (error) {
+        const axiosError = error as {
+          response?: { data?: { message?: string; detail?: string } };
+          message?: string;
+        };
+        const errorMessage =
+          axiosError.response?.data?.message ||
+          axiosError.response?.data?.detail ||
+          axiosError.message ||
+          "Connection failed";
+        setTestResult({
+          success: false,
+          error: errorMessage,
+        });
+
+        if (showToast) {
+          toast.error(
+            t("cameraWizard.commonErrors.testFailed", { error: errorMessage }),
+            {
+              duration: 10000,
+            },
+          );
+        }
+      } finally {
+        setIsTesting(false);
+        setTestStatus("");
+      }
+    },
+    [wizardData, generateStreamUrl, t, onUpdate, probeUri],
+  );
+
+  const handleContinue = useCallback(() => {
+    onNext();
+  }, [onNext]);
+
+  // Auto-start probe or test when step loads
+  const [hasStarted, setHasStarted] = useState(false);
+
+  useEffect(() => {
+    if (!hasStarted) {
+      setHasStarted(true);
+      if (probeMode) {
+        probeCamera();
+      } else {
+        // Auto-run the connection test but suppress toasts to avoid duplicates
+        testConnection(false);
+      }
+    }
+  }, [hasStarted, probeMode, probeCamera, testConnection]);
+
+  return (
+    <div className="space-y-6">
+      {probeMode ? (
+        // Probe mode: show probe results directly
+        <>
+          {probeResult && (
+            <div className="space-y-4">
+              <OnvifProbeResults
+                isLoading={isProbing}
+                isError={!!probeError}
+                error={probeError || undefined}
+                probeResult={probeResult}
+                onRetry={probeCamera}
+                testCandidate={testCandidate}
+                candidateTests={candidateTests}
+                testingCandidates={testingCandidates}
+              />
+            </div>
+          )}
+
+          <ProbeFooterButtons
+            isProbing={isProbing}
+            probeError={probeError}
+            onBack={onBack}
+            onTestAll={testAllSelectedCandidates}
+            onRetry={probeCamera}
+            // disable next if either the overall testConnection is running or any candidate test is running
+            isTesting={
+              isTesting || Object.values(testingCandidates).some((v) => v)
+            }
+            candidateCount={
+              (probeResult?.rtsp_candidates || []).filter(
+                (c) => c.source === "GetStreamUri",
+              ).length
+            }
+          />
+        </>
+      ) : (
+        // Manual mode: show snapshot and stream details
+        <>
+          {testResult?.success && (
+            <div className="p-4">
+              <div className="mb-3 flex flex-row items-center gap-2 text-sm font-medium text-success">
+                <FaCircleCheck className="size-4" />
+                {t("cameraWizard.step2.testSuccess")}
+              </div>
+
+              <div className="space-y-3">
+                {testResult.snapshot ? (
+                  <div className="relative flex justify-center">
+                    <img
+                      src={testResult.snapshot}
+                      alt="Camera snapshot"
+                      className="max-h-[50dvh] max-w-full rounded-lg object-contain"
+                    />
+                    <div className="absolute bottom-2 right-2 rounded-md bg-black/70 p-3 text-sm backdrop-blur-sm">
+                      <div className="space-y-1">
+                        <StreamDetails testResult={testResult} />
+                      </div>
+                    </div>
+                  </div>
+                ) : (
+                  <Card className="p-4">
+                    <CardTitle className="mb-2 text-sm">
+                      {t("cameraWizard.step2.streamDetails")}
+                    </CardTitle>
+                    <CardContent className="p-0 text-sm">
+                      <StreamDetails testResult={testResult} />
+                    </CardContent>
+                  </Card>
+                )}
+              </div>
+            </div>
+          )}
+
+          {isTesting && (
+            <div className="flex items-center gap-2 text-sm text-muted-foreground">
+              <ActivityIndicator className="size-4" />
+              {testStatus}
+            </div>
+          )}
+
+          {testResult && !testResult.success && (
+            <div className="space-y-4">
+              <div className="text-sm text-destructive">{testResult.error}</div>
+            </div>
+          )}
+
+          <ProbeFooterButtons
+            mode="manual"
+            isProbing={false}
+            probeError={null}
+            onBack={onBack}
+            onTestAll={testAllSelectedCandidates}
+            onRetry={probeCamera}
+            isTesting={
+              isTesting || Object.values(testingCandidates).some((v) => v)
+            }
+            candidateCount={
+              (probeResult?.rtsp_candidates || []).filter(
+                (c) => c.source === "GetStreamUri",
+              ).length
+            }
+            manualTestSuccess={!!testResult?.success}
+            onContinue={handleContinue}
+            onManualTest={testConnection}
+          />
+        </>
+      )}
+    </div>
+  );
+}
+
+function StreamDetails({ testResult }: { testResult: TestResult }) {
+  const { t } = useTranslation(["views/settings"]);
+
+  return (
+    <>
+      {testResult.resolution && (
+        <div>
+          <span className="text-white/70">
+            {t("cameraWizard.testResultLabels.resolution")}:
+          </span>{" "}
+          <span className="text-white">{testResult.resolution}</span>
+        </div>
+      )}
+      {testResult.fps && (
+        <div>
+          <span className="text-white/70">
+            {t("cameraWizard.testResultLabels.fps")}:
+          </span>{" "}
+          <span className="text-white">{testResult.fps}</span>
+        </div>
+      )}
+      {testResult.videoCodec && (
+        <div>
+          <span className="text-white/70">
+            {t("cameraWizard.testResultLabels.video")}:
+          </span>{" "}
+          <span className="text-white">{testResult.videoCodec}</span>
+        </div>
+      )}
+      {testResult.audioCodec && (
+        <div>
+          <span className="text-white/70">
+            {t("cameraWizard.testResultLabels.audio")}:
+          </span>{" "}
+          <span className="text-white">{testResult.audioCodec}</span>
+        </div>
+      )}
+    </>
+  );
+}
+
+type ProbeFooterProps = {
+  isProbing: boolean;
+  probeError: string | null;
+  onBack: () => void;
+  onTestAll: () => void;
+  onRetry: () => void;
+  isTesting: boolean;
+  candidateCount?: number;
+  mode?: "probe" | "manual";
+  manualTestSuccess?: boolean;
+  onContinue?: () => void;
+  onManualTest?: () => void;
+};
+
+function ProbeFooterButtons({
+  isProbing,
+  probeError,
+  onBack,
+  onTestAll,
+  onRetry,
+  isTesting,
+  candidateCount = 0,
+  mode = "probe",
+  manualTestSuccess,
+  onContinue,
+  onManualTest,
+}: ProbeFooterProps) {
+  const { t } = useTranslation(["views/settings"]);
+
+  // Loading footer
+  if (isProbing) {
+    return (
+      <div className="space-y-4">
+        <div className="flex items-center gap-2 text-sm text-muted-foreground">
+          <ActivityIndicator className="size-4" />
+          {t("cameraWizard.step2.probing")}
+        </div>
+        <div className="flex flex-col gap-3 pt-3 sm:flex-row sm:justify-end sm:gap-4">
+          <Button type="button" onClick={onBack} disabled className="sm:flex-1">
+            {t("button.back", { ns: "common" })}
+          </Button>
+          <Button
+            type="button"
+            disabled
+            variant="select"
+            className="flex items-center justify-center gap-2 sm:flex-1"
+          >
+            <ActivityIndicator className="size-4" />
+            {t("cameraWizard.step2.probing")}
+          </Button>
+        </div>
+      </div>
+    );
+  }
+
+  // Error footer
+  if (probeError) {
+    return (
+      <div className="space-y-4">
+        <div className="text-sm text-destructive">{probeError}</div>
+        <div className="flex flex-col gap-3 pt-3 sm:flex-row sm:justify-end sm:gap-4">
+          <Button type="button" onClick={onBack} className="sm:flex-1">
+            {t("button.back", { ns: "common" })}
+          </Button>
+          <Button
+            type="button"
+            onClick={onRetry}
+            variant="select"
+            className="flex items-center justify-center gap-2 sm:flex-1"
+          >
+            {t("cameraWizard.step2.retry")}
+          </Button>
+        </div>
+      </div>
+    );
+  }
+
+  // Default footer: show back + test (test disabled if none selected or testing)
+  // If manual mode, show Continue when test succeeded, otherwise show Test (calls onManualTest)
+  if (mode === "manual") {
+    return (
+      <div className="flex flex-col gap-3 pt-3 sm:flex-row sm:justify-end sm:gap-4">
+        <Button type="button" onClick={onBack} className="sm:flex-1">
+          {t("button.back", { ns: "common" })}
+        </Button>
+        {manualTestSuccess ? (
+          <Button
+            type="button"
+            onClick={onContinue}
+            variant="select"
+            className="flex items-center justify-center gap-2 sm:flex-1"
+          >
+            {t("button.continue", { ns: "common" })}
+          </Button>
+        ) : (
+          <Button
+            type="button"
+            onClick={onManualTest}
+            disabled={isTesting}
+            variant="select"
+            className="flex items-center justify-center gap-2 sm:flex-1"
+          >
+            {isTesting ? (
+              <>
+                <ActivityIndicator className="size-4" />{" "}
+                {t("button.continue", { ns: "common" })}
+              </>
+            ) : (
+              t("cameraWizard.step2.retry")
+            )}
+          </Button>
+        )}
+      </div>
+    );
+  }
+
+  // Default probe footer
+  return (
+    <div className="flex flex-col gap-3 pt-3 sm:flex-row sm:justify-end sm:gap-4">
+      <Button type="button" onClick={onBack} className="sm:flex-1">
+        {t("button.back", { ns: "common" })}
+      </Button>
+      <Button
+        type="button"
+        onClick={onTestAll}
+        disabled={isTesting || (candidateCount ?? 0) === 0}
+        variant="select"
+        className="flex items-center justify-center gap-2 sm:flex-1"
+      >
+        {t("button.next", { ns: "common" })}
+      </Button>
+    </div>
+  );
+}
diff --git a/web/src/components/settings/wizard/Step3StreamConfig.tsx b/web/src/components/settings/wizard/Step3StreamConfig.tsx
new file mode 100644
index 000000000..380f0a775
--- /dev/null
+++ b/web/src/components/settings/wizard/Step3StreamConfig.tsx
@@ -0,0 +1,757 @@
+import { Button } from "@/components/ui/button";
+import { Card, CardContent } from "@/components/ui/card";
+import { Input } from "@/components/ui/input";
+import { Switch } from "@/components/ui/switch";
+import { useTranslation } from "react-i18next";
+import { useState, useCallback, useMemo } from "react";
+import { LuPlus, LuTrash2, LuX } from "react-icons/lu";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
+import axios from "axios";
+import { toast } from "sonner";
+import {
+  WizardFormData,
+  StreamConfig,
+  StreamRole,
+  TestResult,
+  FfprobeStream,
+  FfprobeData,
+  FfprobeResponse,
+  CandidateTestMap,
+} from "@/types/cameraWizard";
+import { Label } from "../../ui/label";
+import { FaCircleCheck } from "react-icons/fa6";
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from "@/components/ui/popover";
+import { Drawer, DrawerContent, DrawerTrigger } from "@/components/ui/drawer";
+import { isMobile } from "react-device-detect";
+import {
+  LuInfo,
+  LuExternalLink,
+  LuCheck,
+  LuChevronsUpDown,
+} from "react-icons/lu";
+import { Link } from "react-router-dom";
+import { useDocDomain } from "@/hooks/use-doc-domain";
+import { cn } from "@/lib/utils";
+import {
+  Command,
+  CommandEmpty,
+  CommandGroup,
+  CommandInput,
+  CommandItem,
+  CommandList,
+} from "@/components/ui/command";
+
+type Step3StreamConfigProps = {
+  wizardData: Partial<WizardFormData>;
+  onUpdate: (data: Partial<WizardFormData>) => void;
+  onBack?: () => void;
+  onNext?: () => void;
+  canProceed?: boolean;
+};
+
+export default function Step3StreamConfig({
+  wizardData,
+  onUpdate,
+  onBack,
+  onNext,
+  canProceed,
+}: Step3StreamConfigProps) {
+  const { t } = useTranslation(["views/settings", "components/dialog"]);
+  const { getLocaleDocUrl } = useDocDomain();
+  const [testingStreams, setTestingStreams] = useState<Set<string>>(new Set());
+  const [openCombobox, setOpenCombobox] = useState<string | null>(null);
+
+  const streams = useMemo(() => wizardData.streams || [], [wizardData.streams]);
+
+  // Probe mode candidate tracking
+  const probeCandidates = useMemo(
+    () => (wizardData.probeCandidates || []) as string[],
+    [wizardData.probeCandidates],
+  );
+
+  const candidateTests = useMemo(
+    () => (wizardData.candidateTests || {}) as CandidateTestMap,
+    [wizardData.candidateTests],
+  );
+
+  const isProbeMode = !!wizardData.probeMode;
+
+  const addStream = useCallback(() => {
+    const newStreamId = `stream_${Date.now()}`;
+
+    let initialUrl = "";
+    if (isProbeMode && probeCandidates.length > 0) {
+      // pick first candidate not already used
+      const used = new Set(streams.map((s) => s.url).filter(Boolean));
+      const firstAvailable = probeCandidates.find((c) => !used.has(c));
+      if (firstAvailable) {
+        initialUrl = firstAvailable;
+      }
+    }
+
+    const newStream: StreamConfig = {
+      id: newStreamId,
+      url: initialUrl,
+      roles: [],
+      testResult: initialUrl ? candidateTests[initialUrl] : undefined,
+      userTested: initialUrl ? !!candidateTests[initialUrl] : false,
+    };
+
+    onUpdate({
+      streams: [...streams, newStream],
+    });
+  }, [streams, onUpdate, isProbeMode, probeCandidates, candidateTests]);
+
+  const removeStream = useCallback(
+    (streamId: string) => {
+      onUpdate({
+        streams: streams.filter((s) => s.id !== streamId),
+      });
+    },
+    [streams, onUpdate],
+  );
+
+  const updateStream = useCallback(
+    (streamId: string, updates: Partial<StreamConfig>) => {
+      onUpdate({
+        streams: streams.map((s) =>
+          s.id === streamId ? { ...s, ...updates } : s,
+        ),
+      });
+    },
+    [streams, onUpdate],
+  );
+
+  const getUsedRolesExcludingStream = useCallback(
+    (excludeStreamId: string) => {
+      const roles = new Set<StreamRole>();
+      streams.forEach((stream) => {
+        if (stream.id !== excludeStreamId) {
+          stream.roles.forEach((role) => roles.add(role));
+        }
+      });
+      return roles;
+    },
+    [streams],
+  );
+
+  const getUsedUrlsExcludingStream = useCallback(
+    (excludeStreamId: string) => {
+      const used = new Set<string>();
+      streams.forEach((s) => {
+        if (s.id !== excludeStreamId && s.url) {
+          used.add(s.url);
+        }
+      });
+      return used;
+    },
+    [streams],
+  );
+
+  const toggleRole = useCallback(
+    (streamId: string, role: StreamRole) => {
+      const stream = streams.find((s) => s.id === streamId);
+      if (!stream) return;
+
+      const hasRole = stream.roles.includes(role);
+      if (hasRole) {
+        // Allow removing the role
+        const newRoles = stream.roles.filter((r) => r !== role);
+        updateStream(streamId, { roles: newRoles });
+      } else {
+        // Check if role is already used in another stream
+        const usedRoles = getUsedRolesExcludingStream(streamId);
+        if (!usedRoles.has(role)) {
+          // Allow adding the role
+          const newRoles = [...stream.roles, role];
+          updateStream(streamId, { roles: newRoles });
+        }
+      }
+    },
+    [streams, updateStream, getUsedRolesExcludingStream],
+  );
+
+  const testStream = useCallback(
+    async (stream: StreamConfig) => {
+      if (!stream.url.trim()) {
+        toast.error(t("cameraWizard.commonErrors.noUrl"));
+        return;
+      }
+
+      setTestingStreams((prev) => new Set(prev).add(stream.id));
+
+      try {
+        const response = await axios.get("ffprobe", {
+          params: { paths: stream.url, detailed: true },
+          timeout: 10000,
+        });
+
+        let probeData: FfprobeResponse | null = null;
+        if (
+          response.data &&
+          response.data.length > 0 &&
+          response.data[0].return_code === 0
+        ) {
+          probeData = response.data[0];
+        }
+
+        if (!probeData) {
+          const error =
+            Array.isArray(response.data?.[0]?.stderr) &&
+            response.data[0].stderr.length > 0
+              ? response.data[0].stderr.join("\n")
+              : "Unable to probe stream";
+          const failResult: TestResult = { success: false, error };
+          updateStream(stream.id, { testResult: failResult, userTested: true });
+          onUpdate({
+            candidateTests: {
+              ...(wizardData.candidateTests || {}),
+              [stream.url]: failResult,
+            } as CandidateTestMap,
+          });
+          toast.error(t("cameraWizard.commonErrors.testFailed", { error }));
+          return;
+        }
+
+        let ffprobeData: FfprobeData;
+        if (typeof probeData.stdout === "string") {
+          try {
+            ffprobeData = JSON.parse(probeData.stdout as string) as FfprobeData;
+          } catch {
+            ffprobeData = { streams: [] } as FfprobeData;
+          }
+        } else {
+          ffprobeData = probeData.stdout as FfprobeData;
+        }
+
+        const streamsArr = ffprobeData.streams || [];
+
+        const videoStream = streamsArr.find(
+          (s: FfprobeStream) =>
+            s.codec_type === "video" ||
+            s.codec_name?.includes("h264") ||
+            s.codec_name?.includes("hevc"),
+        );
+
+        const audioStream = streamsArr.find(
+          (s: FfprobeStream) =>
+            s.codec_type === "audio" ||
+            s.codec_name?.includes("aac") ||
+            s.codec_name?.includes("mp3") ||
+            s.codec_name?.includes("pcm_mulaw") ||
+            s.codec_name?.includes("pcm_alaw"),
+        );
+
+        let resolution: string | undefined = undefined;
+        if (videoStream) {
+          const width = Number(videoStream.width || 0);
+          const height = Number(videoStream.height || 0);
+          if (width > 0 && height > 0) {
+            resolution = `${width}x${height}`;
+          }
+        }
+
+        const fps = videoStream?.avg_frame_rate
+          ? parseFloat(videoStream.avg_frame_rate.split("/")[0]) /
+            parseFloat(videoStream.avg_frame_rate.split("/")[1])
+          : undefined;
+
+        const testResult: TestResult = {
+          success: true,
+          resolution,
+          videoCodec: videoStream?.codec_name,
+          audioCodec: audioStream?.codec_name,
+          fps: fps && !isNaN(fps) ? fps : undefined,
+        };
+
+        updateStream(stream.id, { testResult, userTested: true });
+        onUpdate({
+          candidateTests: {
+            ...(wizardData.candidateTests || {}),
+            [stream.url]: testResult,
+          } as CandidateTestMap,
+        });
+        toast.success(t("cameraWizard.step3.testSuccess"));
+      } catch (error) {
+        const axiosError = error as {
+          response?: { data?: { message?: string; detail?: string } };
+          message?: string;
+        };
+        const errorMessage =
+          axiosError.response?.data?.message ||
+          axiosError.response?.data?.detail ||
+          axiosError.message ||
+          "Connection failed";
+        const catchResult: TestResult = {
+          success: false,
+          error: errorMessage,
+        };
+        updateStream(stream.id, { testResult: catchResult, userTested: true });
+        onUpdate({
+          candidateTests: {
+            ...(wizardData.candidateTests || {}),
+            [stream.url]: catchResult,
+          } as CandidateTestMap,
+        });
+        toast.error(
+          t("cameraWizard.commonErrors.testFailed", { error: errorMessage }),
+        );
+      } finally {
+        setTestingStreams((prev) => {
+          const newSet = new Set(prev);
+          newSet.delete(stream.id);
+          return newSet;
+        });
+      }
+    },
+    [updateStream, t, onUpdate, wizardData.candidateTests],
+  );
+
+  const setRestream = useCallback(
+    (streamId: string) => {
+      const stream = streams.find((s) => s.id === streamId);
+      if (!stream) return;
+
+      updateStream(streamId, { restream: !stream.restream });
+    },
+    [streams, updateStream],
+  );
+
+  const hasDetectRole = streams.some((s) => s.roles.includes("detect"));
+
+  return (
+    <div className="space-y-6">
+      <div className="text-sm text-secondary-foreground">
+        {t("cameraWizard.step3.description")}
+      </div>
+
+      <div className="space-y-4">
+        {streams.map((stream, index) => (
+          <Card key={stream.id} className="bg-secondary text-primary">
+            <CardContent className="space-y-4 p-4">
+              <div className="flex items-center justify-between">
+                <div>
+                  <h4 className="font-medium">
+                    {t("cameraWizard.step3.streamTitle", { number: index + 1 })}
+                  </h4>
+                  {stream.testResult && stream.testResult.success && (
+                    <div className="mt-1 text-sm text-muted-foreground">
+                      {[
+                        stream.testResult.resolution,
+                        stream.testResult.fps
+                          ? `${stream.testResult.fps} ${t("cameraWizard.testResultLabels.fps")}`
+                          : null,
+                        stream.testResult.videoCodec,
+                        stream.testResult.audioCodec,
+                      ]
+                        .filter(Boolean)
+                        .join(" · ")}
+                    </div>
+                  )}
+                </div>
+                <div className="flex items-center gap-2">
+                  {stream.testResult?.success && (
+                    <div className="flex items-center gap-2 text-sm">
+                      <FaCircleCheck className="size-4 text-success" />
+                      <span className="text-success">
+                        {t("cameraWizard.step3.connected")}
+                      </span>
+                    </div>
+                  )}
+                  {stream.testResult && !stream.testResult.success && (
+                    <div className="flex items-center gap-2 text-sm">
+                      <LuX className="size-4 text-danger" />
+                      <span className="text-danger">
+                        {t("cameraWizard.step3.notConnected")}
+                      </span>
+                    </div>
+                  )}
+                  {streams.length > 1 && (
+                    <Button
+                      variant="ghost"
+                      size="sm"
+                      onClick={() => removeStream(stream.id)}
+                      className="text-secondary-foreground hover:text-secondary-foreground"
+                    >
+                      <LuTrash2 className="size-5" />
+                    </Button>
+                  )}
+                </div>
+              </div>
+
+              <div className="grid grid-cols-1 gap-4">
+                <div className="space-y-2">
+                  <label className="text-sm font-medium text-primary-variant">
+                    {t("cameraWizard.step3.url")}
+                  </label>
+                  <div className="flex flex-row items-center gap-2">
+                    {isProbeMode && probeCandidates.length > 0 ? (
+                      // Responsive: Popover on desktop, Drawer on mobile
+                      !isMobile ? (
+                        <Popover
+                          open={openCombobox === stream.id}
+                          onOpenChange={(isOpen) => {
+                            setOpenCombobox(isOpen ? stream.id : null);
+                          }}
+                        >
+                          <PopoverTrigger asChild>
+                            <div className="min-w-0 flex-1">
+                              <Button
+                                variant="outline"
+                                role="combobox"
+                                aria-expanded={openCombobox === stream.id}
+                                className="h-8 w-full justify-between overflow-hidden text-left"
+                              >
+                                <span className="truncate">
+                                  {stream.url
+                                    ? stream.url
+                                    : t("cameraWizard.step3.selectStream")}
+                                </span>
+                                <LuChevronsUpDown className="ml-2 size-6 opacity-50" />
+                              </Button>
+                            </div>
+                          </PopoverTrigger>
+                          <PopoverContent
+                            className="w-[--radix-popover-trigger-width] p-2"
+                            disablePortal
+                          >
+                            <Command>
+                              <CommandInput
+                                placeholder={t(
+                                  "cameraWizard.step3.searchCandidates",
+                                )}
+                                className="h-9"
+                              />
+                              <CommandList>
+                                <CommandEmpty>
+                                  {t("cameraWizard.step3.noStreamFound")}
+                                </CommandEmpty>
+                                <CommandGroup>
+                                  {probeCandidates
+                                    .filter((c) => {
+                                      const used = getUsedUrlsExcludingStream(
+                                        stream.id,
+                                      );
+                                      return !used.has(c);
+                                    })
+                                    .map((candidate) => (
+                                      <CommandItem
+                                        key={candidate}
+                                        value={candidate}
+                                        onSelect={() => {
+                                          updateStream(stream.id, {
+                                            url: candidate,
+                                            testResult:
+                                              candidateTests[candidate] ||
+                                              undefined,
+                                            userTested:
+                                              !!candidateTests[candidate],
+                                          });
+                                          setOpenCombobox(null);
+                                        }}
+                                      >
+                                        <LuCheck
+                                          className={cn(
+                                            "mr-3 size-5",
+                                            stream.url === candidate
+                                              ? "opacity-100"
+                                              : "opacity-0",
+                                          )}
+                                        />
+                                        {candidate}
+                                      </CommandItem>
+                                    ))}
+                                </CommandGroup>
+                              </CommandList>
+                            </Command>
+                          </PopoverContent>
+                        </Popover>
+                      ) : (
+                        <Drawer
+                          open={openCombobox === stream.id}
+                          onOpenChange={(isOpen) =>
+                            setOpenCombobox(isOpen ? stream.id : null)
+                          }
+                        >
+                          <DrawerTrigger asChild>
+                            <div className="min-w-0 flex-1">
+                              <Button
+                                variant="outline"
+                                role="combobox"
+                                aria-expanded={openCombobox === stream.id}
+                                className="h-8 w-full justify-between overflow-hidden text-left"
+                              >
+                                <span className="truncate">
+                                  {stream.url
+                                    ? stream.url
+                                    : t("cameraWizard.step3.selectStream")}
+                                </span>
+                                <LuChevronsUpDown className="ml-2 size-6 opacity-50" />
+                              </Button>
+                            </div>
+                          </DrawerTrigger>
+                          <DrawerContent className="mx-1 max-h-[75dvh] overflow-hidden rounded-t-2xl px-2">
+                            <div className="mt-2">
+                              <Command>
+                                <CommandInput
+                                  placeholder={t(
+                                    "cameraWizard.step3.searchCandidates",
+                                  )}
+                                  className="h-9"
+                                />
+                                <CommandList>
+                                  <CommandEmpty>
+                                    {t("cameraWizard.step3.noStreamFound")}
+                                  </CommandEmpty>
+                                  <CommandGroup>
+                                    {probeCandidates
+                                      .filter((c) => {
+                                        const used = getUsedUrlsExcludingStream(
+                                          stream.id,
+                                        );
+                                        return !used.has(c);
+                                      })
+                                      .map((candidate) => (
+                                        <CommandItem
+                                          key={candidate}
+                                          value={candidate}
+                                          onSelect={() => {
+                                            updateStream(stream.id, {
+                                              url: candidate,
+                                              testResult:
+                                                candidateTests[candidate] ||
+                                                undefined,
+                                              userTested:
+                                                !!candidateTests[candidate],
+                                            });
+                                            setOpenCombobox(null);
+                                          }}
+                                        >
+                                          <LuCheck
+                                            className={cn(
+                                              "mr-3 size-5",
+                                              stream.url === candidate
+                                                ? "opacity-100"
+                                                : "opacity-0",
+                                            )}
+                                          />
+                                          {candidate}
+                                        </CommandItem>
+                                      ))}
+                                  </CommandGroup>
+                                </CommandList>
+                              </Command>
+                            </div>
+                          </DrawerContent>
+                        </Drawer>
+                      )
+                    ) : (
+                      <Input
+                        value={stream.url}
+                        onChange={(e) =>
+                          updateStream(stream.id, {
+                            url: e.target.value,
+                            testResult: undefined,
+                          })
+                        }
+                        className="h-8 flex-1"
+                        placeholder={t(
+                          "cameraWizard.step3.streamUrlPlaceholder",
+                        )}
+                      />
+                    )}
+                    <Button
+                      type="button"
+                      onClick={() => testStream(stream)}
+                      disabled={
+                        testingStreams.has(stream.id) || !stream.url.trim()
+                      }
+                      variant="outline"
+                      size="sm"
+                    >
+                      {testingStreams.has(stream.id) && (
+                        <ActivityIndicator className="mr-2 size-4" />
+                      )}
+                      {t("cameraWizard.step3.testStream")}
+                    </Button>
+                  </div>
+                </div>
+              </div>
+
+              {stream.testResult &&
+                !stream.testResult.success &&
+                stream.userTested && (
+                  <div className="rounded-md border border-danger/20 bg-danger/10 p-3 text-sm text-danger">
+                    <div className="font-medium">
+                      {t("cameraWizard.step3.testFailedTitle")}
+                    </div>
+                    <div className="mt-1 text-xs">
+                      {stream.testResult.error}
+                    </div>
+                  </div>
+                )}
+
+              <div className="space-y-2">
+                <div className="flex items-center gap-1">
+                  <Label className="text-sm font-medium text-primary-variant">
+                    {t("cameraWizard.step3.roles")}
+                  </Label>
+                  <Popover modal={true}>
+                    <PopoverTrigger asChild>
+                      <Button variant="ghost" size="sm" className="h-4 w-4 p-0">
+                        <LuInfo className="size-3" />
+                      </Button>
+                    </PopoverTrigger>
+                    <PopoverContent className="pointer-events-auto w-80 text-xs">
+                      <div className="space-y-2">
+                        <div className="font-medium">
+                          {t("cameraWizard.step3.rolesPopover.title")}
+                        </div>
+                        <div className="space-y-1 text-muted-foreground">
+                          <div>
+                            <strong>detect</strong> -{" "}
+                            {t("cameraWizard.step3.rolesPopover.detect")}
+                          </div>
+                          <div>
+                            <strong>record</strong> -{" "}
+                            {t("cameraWizard.step3.rolesPopover.record")}
+                          </div>
+                          <div>
+                            <strong>audio</strong> -{" "}
+                            {t("cameraWizard.step3.rolesPopover.audio")}
+                          </div>
+                        </div>
+                        <div className="mt-3 flex items-center text-primary">
+                          <Link
+                            to={getLocaleDocUrl("configuration/cameras")}
+                            target="_blank"
+                            rel="noopener noreferrer"
+                            className="inline"
+                          >
+                            {t("readTheDocumentation", { ns: "common" })}
+                            <LuExternalLink className="ml-2 inline-flex size-3" />
+                          </Link>
+                        </div>
+                      </div>
+                    </PopoverContent>
+                  </Popover>
+                </div>
+                <div className="rounded-lg bg-background p-3">
+                  <div className="flex flex-wrap gap-2">
+                    {(["detect", "record", "audio"] as const).map((role) => {
+                      const isUsedElsewhere = getUsedRolesExcludingStream(
+                        stream.id,
+                      ).has(role);
+                      const isChecked = stream.roles.includes(role);
+                      return (
+                        <div
+                          key={role}
+                          className="flex w-full items-center justify-between"
+                        >
+                          <span className="text-sm capitalize">{role}</span>
+                          <Switch
+                            checked={isChecked}
+                            onCheckedChange={() => toggleRole(stream.id, role)}
+                            disabled={!isChecked && isUsedElsewhere}
+                          />
+                        </div>
+                      );
+                    })}
+                  </div>
+                </div>
+              </div>
+
+              <div className="space-y-2">
+                <div className="flex items-center gap-1">
+                  <Label className="text-sm font-medium text-primary-variant">
+                    {t("cameraWizard.step3.featuresTitle")}
+                  </Label>
+                  <Popover modal={true}>
+                    <PopoverTrigger asChild>
+                      <Button variant="ghost" size="sm" className="h-4 w-4 p-0">
+                        <LuInfo className="size-3" />
+                      </Button>
+                    </PopoverTrigger>
+                    <PopoverContent className="pointer-events-auto w-80 text-xs">
+                      <div className="space-y-2">
+                        <div className="font-medium">
+                          {t("cameraWizard.step3.featuresPopover.title")}
+                        </div>
+                        <div className="text-muted-foreground">
+                          {t("cameraWizard.step3.featuresPopover.description")}
+                        </div>
+                        <div className="mt-3 flex items-center text-primary">
+                          <Link
+                            to={getLocaleDocUrl(
+                              "configuration/restream#reduce-connections-to-camera",
+                            )}
+                            target="_blank"
+                            rel="noopener noreferrer"
+                            className="inline"
+                          >
+                            {t("readTheDocumentation", { ns: "common" })}
+                            <LuExternalLink className="ml-2 inline-flex size-3" />
+                          </Link>
+                        </div>
+                      </div>
+                    </PopoverContent>
+                  </Popover>
+                </div>
+                <div className="rounded-lg bg-background p-3">
+                  <div className="flex items-center justify-between">
+                    <span className="text-sm">
+                      {t("cameraWizard.step3.go2rtc")}
+                    </span>
+                    <Switch
+                      checked={stream.restream || false}
+                      onCheckedChange={() => setRestream(stream.id)}
+                    />
+                  </div>
+                </div>
+              </div>
+            </CardContent>
+          </Card>
+        ))}
+
+        <Button
+          type="button"
+          onClick={addStream}
+          variant="outline"
+          className=""
+        >
+          <LuPlus className="mr-2 size-4" />
+          {t("cameraWizard.step3.addAnotherStream")}
+        </Button>
+      </div>
+
+      {!hasDetectRole && (
+        <div className="rounded-lg border border-danger/50 p-3 text-sm text-danger">
+          {t("cameraWizard.step3.detectRoleWarning")}
+        </div>
+      )}
+
+      <div className="flex flex-col gap-3 pt-6 sm:flex-row sm:justify-end sm:gap-4">
+        {onBack && (
+          <Button type="button" onClick={onBack} className="sm:flex-1">
+            {t("button.back", { ns: "common" })}
+          </Button>
+        )}
+        {onNext && (
+          <Button
+            type="button"
+            onClick={() => onNext?.()}
+            disabled={!canProceed || testingStreams.size > 0}
+            variant="select"
+            className="sm:flex-1"
+          >
+            {t("button.next", { ns: "common" })}
+          </Button>
+        )}
+      </div>
+    </div>
+  );
+}
diff --git a/web/src/components/settings/wizard/Step4Validation.tsx b/web/src/components/settings/wizard/Step4Validation.tsx
new file mode 100644
index 000000000..8352a1c75
--- /dev/null
+++ b/web/src/components/settings/wizard/Step4Validation.tsx
@@ -0,0 +1,860 @@
+import { Button } from "@/components/ui/button";
+import { Badge } from "@/components/ui/badge";
+import { Switch } from "@/components/ui/switch";
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from "@/components/ui/popover";
+import { useTranslation } from "react-i18next";
+import { LuRotateCcw, LuInfo } from "react-icons/lu";
+import { useState, useCallback, useMemo, useEffect } from "react";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
+import axios from "axios";
+import { toast } from "sonner";
+import MSEPlayer from "@/components/player/MsePlayer";
+import { WizardFormData, StreamConfig, TestResult } from "@/types/cameraWizard";
+import { PlayerStatsType, LiveStreamMetadata } from "@/types/live";
+import { detectCameraAudioFeatures } from "@/utils/cameraUtil";
+import { FaCircleCheck, FaTriangleExclamation } from "react-icons/fa6";
+import { LuX } from "react-icons/lu";
+import { Card, CardContent } from "../../ui/card";
+import { maskUri } from "@/utils/cameraUtil";
+
+type Step4ValidationProps = {
+  wizardData: Partial<WizardFormData>;
+  onUpdate: (data: Partial<WizardFormData>) => void;
+  onSave: (config: WizardFormData) => void;
+  onBack?: () => void;
+  isLoading?: boolean;
+};
+
+export default function Step4Validation({
+  wizardData,
+  onUpdate,
+  onSave,
+  onBack,
+  isLoading = false,
+}: Step4ValidationProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const [isValidating, setIsValidating] = useState(false);
+  const [testingStreams, setTestingStreams] = useState<Set<string>>(new Set());
+  const [measuredBandwidth, setMeasuredBandwidth] = useState<
+    Map<string, number>
+  >(new Map());
+  const [registeredStreamIds, setRegisteredStreamIds] = useState<
+    Map<string, string>
+  >(new Map());
+
+  const streams = useMemo(() => wizardData.streams || [], [wizardData.streams]);
+
+  const handleBandwidthUpdate = useCallback(
+    (streamId: string, bandwidth: number) => {
+      setMeasuredBandwidth((prev) => new Map(prev).set(streamId, bandwidth));
+    },
+    [],
+  );
+
+  // Use test results from Step 2, but allow re-validation in Step 3
+  const validationResults = useMemo(() => {
+    const results = new Map<string, TestResult>();
+    streams.forEach((stream) => {
+      if (stream.testResult) {
+        results.set(stream.id, stream.testResult);
+      }
+    });
+    return results;
+  }, [streams]);
+
+  const performStreamValidation = useCallback(
+    async (stream: StreamConfig): Promise<TestResult> => {
+      try {
+        const response = await axios.get("ffprobe", {
+          params: { paths: stream.url, detailed: true },
+          timeout: 10000,
+        });
+
+        if (response.data?.[0]?.return_code === 0) {
+          const probeData = response.data[0];
+          const streamData = probeData.stdout.streams || [];
+
+          const videoStream = streamData.find(
+            (s: { codec_type?: string; codec_name?: string }) =>
+              s.codec_type === "video" ||
+              s.codec_name?.includes("h264") ||
+              s.codec_name?.includes("h265"),
+          );
+
+          const audioStream = streamData.find(
+            (s: { codec_type?: string; codec_name?: string }) =>
+              s.codec_type === "audio" ||
+              s.codec_name?.includes("aac") ||
+              s.codec_name?.includes("mp3"),
+          );
+
+          const resolution = videoStream
+            ? `${videoStream.width}x${videoStream.height}`
+            : undefined;
+
+          const fps = videoStream?.avg_frame_rate
+            ? parseFloat(videoStream.avg_frame_rate.split("/")[0]) /
+              parseFloat(videoStream.avg_frame_rate.split("/")[1])
+            : undefined;
+
+          return {
+            success: true,
+            resolution,
+            videoCodec: videoStream?.codec_name,
+            audioCodec: audioStream?.codec_name,
+            fps: fps && !isNaN(fps) ? fps : undefined,
+          };
+        } else {
+          const error = response.data?.[0]?.stderr || "Unknown error";
+          return { success: false, error };
+        }
+      } catch (error) {
+        const axiosError = error as {
+          response?: { data?: { message?: string; detail?: string } };
+          message?: string;
+        };
+        const errorMessage =
+          axiosError.response?.data?.message ||
+          axiosError.response?.data?.detail ||
+          axiosError.message ||
+          "Connection failed";
+
+        return { success: false, error: errorMessage };
+      }
+    },
+    [],
+  );
+
+  const checkBackchannel = useCallback(
+    async (go2rtcStreamId: string, useFfmpeg: boolean): Promise<boolean> => {
+      // ffmpeg compatibility mode guarantees no backchannel connection
+      if (useFfmpeg) {
+        return false;
+      }
+
+      try {
+        const response = await axios.get<LiveStreamMetadata>(
+          `go2rtc/streams/${go2rtcStreamId}`,
+        );
+
+        const audioFeatures = detectCameraAudioFeatures(response.data, false);
+        return audioFeatures.twoWayAudio;
+      } catch {
+        return false;
+      }
+    },
+    [],
+  );
+
+  const validateStream = useCallback(
+    async (stream: StreamConfig) => {
+      if (!stream.url.trim()) {
+        toast.error(t("cameraWizard.commonErrors.noUrl"));
+        return;
+      }
+
+      setTestingStreams((prev) => new Set(prev).add(stream.id));
+
+      const testResult = await performStreamValidation(stream);
+
+      onUpdate({
+        streams: streams.map((s) =>
+          s.id === stream.id ? { ...s, testResult } : s,
+        ),
+      });
+
+      if (testResult.success) {
+        toast.success(
+          t("cameraWizard.step4.streamValidated", {
+            number: streams.findIndex((s) => s.id === stream.id) + 1,
+          }),
+        );
+      } else {
+        toast.error(
+          t("cameraWizard.step4.streamValidationFailed", {
+            number: streams.findIndex((s) => s.id === stream.id) + 1,
+          }),
+        );
+      }
+
+      setTestingStreams((prev) => {
+        const newSet = new Set(prev);
+        newSet.delete(stream.id);
+        return newSet;
+      });
+    },
+    [streams, onUpdate, t, performStreamValidation],
+  );
+
+  const validateAllStreams = useCallback(async () => {
+    setIsValidating(true);
+    const results = new Map<string, TestResult>();
+
+    // Only test streams that haven't been tested or failed
+    const streamsToTest = streams.filter(
+      (stream) => !stream.testResult || !stream.testResult.success,
+    );
+
+    for (const stream of streamsToTest) {
+      if (!stream.url.trim()) continue;
+
+      const testResult = await performStreamValidation(stream);
+      results.set(stream.id, testResult);
+    }
+
+    // Update wizard data with new test results
+    if (results.size > 0) {
+      const updatedStreams = streams.map((stream) => {
+        const newResult = results.get(stream.id);
+        if (newResult) {
+          return { ...stream, testResult: newResult };
+        }
+        return stream;
+      });
+
+      onUpdate({ streams: updatedStreams });
+    }
+
+    setIsValidating(false);
+
+    if (results.size > 0) {
+      const successfulTests = Array.from(results.values()).filter(
+        (r) => r.success,
+      ).length;
+      if (successfulTests === results.size) {
+        toast.success(t("cameraWizard.step4.reconnectionSuccess"));
+      } else {
+        toast.warning(t("cameraWizard.step4.reconnectionPartial"));
+      }
+    }
+  }, [streams, onUpdate, t, performStreamValidation]);
+
+  const handleSave = useCallback(async () => {
+    if (!wizardData.cameraName || !wizardData.streams?.length) {
+      toast.error(t("cameraWizard.step4.saveError"));
+      return;
+    }
+
+    const candidateStreams =
+      wizardData.streams?.filter(
+        (s) => s.testResult?.success && !(s.useFfmpeg ?? false),
+      ) || [];
+
+    let hasBackchannelResult = false;
+    if (candidateStreams.length > 0) {
+      // Check all candidate streams for backchannel support
+      const backchanelChecks = candidateStreams.map((stream) => {
+        const actualStreamId = registeredStreamIds.get(stream.id);
+        return actualStreamId
+          ? checkBackchannel(actualStreamId, stream.useFfmpeg ?? false)
+          : Promise.resolve(false);
+      });
+      const results = await Promise.all(backchanelChecks);
+      hasBackchannelResult = results.some((result) => result);
+    }
+    onUpdate({ hasBackchannel: hasBackchannelResult });
+
+    // Convert wizard data to final config format
+    const configData = {
+      cameraName: wizardData.cameraName,
+      host: wizardData.host,
+      username: wizardData.username,
+      password: wizardData.password,
+      brandTemplate: wizardData.brandTemplate,
+      customUrl: wizardData.customUrl,
+      streams: wizardData.streams,
+      hasBackchannel: wizardData.hasBackchannel,
+    };
+
+    onSave(configData);
+  }, [wizardData, onSave, t, onUpdate, checkBackchannel, registeredStreamIds]);
+
+  const canSave = useMemo(() => {
+    return (
+      wizardData.cameraName &&
+      wizardData.streams?.length &&
+      wizardData.streams.some((s) => s.roles.includes("detect")) &&
+      wizardData.streams.every((s) => s.testResult) // All streams must be tested
+    );
+  }, [wizardData]);
+
+  return (
+    <div className="space-y-6">
+      <div className="text-sm text-muted-foreground">
+        {t("cameraWizard.step4.description")}
+      </div>
+
+      <div className="space-y-4">
+        <div className="flex items-center justify-between">
+          <h3 className="text-lg font-medium">
+            {t("cameraWizard.step4.validationTitle")}
+          </h3>
+          <Button
+            onClick={validateAllStreams}
+            disabled={isValidating || streams.length === 0}
+            variant="outline"
+          >
+            {isValidating && <ActivityIndicator className="mr-2 size-4" />}
+            {isValidating
+              ? t("cameraWizard.step4.connecting")
+              : t("cameraWizard.step4.connectAllStreams")}
+          </Button>
+        </div>
+
+        <div className="space-y-3">
+          {streams.map((stream, index) => {
+            const result = validationResults.get(stream.id);
+            return (
+              <Card key={stream.id} className="bg-secondary text-primary">
+                <CardContent className="space-y-4 p-4">
+                  <div className="mb-2 flex items-center justify-between">
+                    <div className="flex items-end gap-2">
+                      <div className="flex flex-col space-y-1">
+                        <div className="flex flex-row items-center">
+                          <h4 className="mr-2 font-medium">
+                            {t("cameraWizard.step4.streamTitle", {
+                              number: index + 1,
+                            })}
+                          </h4>
+                          {stream.roles.map((role) => (
+                            <Badge
+                              variant="outline"
+                              key={role}
+                              className="mx-1 text-xs"
+                            >
+                              {role}
+                            </Badge>
+                          ))}
+                        </div>
+                        {result && result.success && (
+                          <div className="mb-2 text-sm text-muted-foreground">
+                            {[
+                              result.resolution,
+                              result.fps
+                                ? `${result.fps} ${t("cameraWizard.testResultLabels.fps")}`
+                                : null,
+                              result.videoCodec,
+                              result.audioCodec,
+                            ]
+                              .filter(Boolean)
+                              .join(" · ")}
+                          </div>
+                        )}
+                      </div>
+                    </div>
+                    {result?.success && (
+                      <div className="flex items-center gap-2 text-sm">
+                        <FaCircleCheck className="size-4 text-success" />
+                        <span className="text-success">
+                          {t("cameraWizard.step2.connected")}
+                        </span>
+                      </div>
+                    )}
+                    {result && !result.success && (
+                      <div className="flex items-center gap-2 text-sm">
+                        <LuX className="size-4 text-danger" />
+                        <span className="text-danger">
+                          {t("cameraWizard.step2.notConnected")}
+                        </span>
+                      </div>
+                    )}
+                  </div>
+
+                  {result?.success && (
+                    <div className="mb-3">
+                      <StreamPreview
+                        stream={stream}
+                        onBandwidthUpdate={handleBandwidthUpdate}
+                        onStreamRegistered={(go2rtcStreamId) => {
+                          setRegisteredStreamIds((prev) =>
+                            new Map(prev).set(stream.id, go2rtcStreamId),
+                          );
+                        }}
+                      />
+                    </div>
+                  )}
+
+                  {result?.success && (
+                    <div className="mb-3 flex items-center justify-between">
+                      <div className="flex items-center gap-2">
+                        <span className="text-sm">
+                          {t("cameraWizard.step4.ffmpegModule")}
+                        </span>
+                        <Popover>
+                          <PopoverTrigger asChild>
+                            <Button
+                              variant="ghost"
+                              size="sm"
+                              className="h-4 w-4 p-0"
+                            >
+                              <LuInfo className="size-3" />
+                            </Button>
+                          </PopoverTrigger>
+                          <PopoverContent className="pointer-events-auto w-80 text-xs">
+                            <div className="space-y-2">
+                              <div className="font-medium">
+                                {t("cameraWizard.step4.ffmpegModule")}
+                              </div>
+                              <div className="text-muted-foreground">
+                                {t(
+                                  "cameraWizard.step4.ffmpegModuleDescription",
+                                )}
+                              </div>
+                            </div>
+                          </PopoverContent>
+                        </Popover>
+                      </div>
+                      <Switch
+                        checked={stream.useFfmpeg || false}
+                        onCheckedChange={(checked) => {
+                          onUpdate({
+                            streams: streams.map((s) =>
+                              s.id === stream.id
+                                ? { ...s, useFfmpeg: checked }
+                                : s,
+                            ),
+                          });
+                        }}
+                      />
+                    </div>
+                  )}
+
+                  <div className="mb-2 flex flex-col justify-between gap-1 md:flex-row md:items-center">
+                    <span className="break-all text-sm text-muted-foreground">
+                      {maskUri(stream.url)}
+                    </span>
+                    <Button
+                      onClick={() => {
+                        if (result?.success) {
+                          // Disconnect: clear the test result
+                          onUpdate({
+                            streams: streams.map((s) =>
+                              s.id === stream.id
+                                ? { ...s, testResult: undefined }
+                                : s,
+                            ),
+                          });
+                        } else {
+                          // Test/Connect: perform validation
+                          validateStream(stream);
+                        }
+                      }}
+                      disabled={
+                        testingStreams.has(stream.id) || !stream.url.trim()
+                      }
+                      variant="outline"
+                      size="sm"
+                    >
+                      {testingStreams.has(stream.id) && (
+                        <ActivityIndicator className="mr-2 size-4" />
+                      )}
+                      {result?.success
+                        ? t("cameraWizard.step4.disconnectStream")
+                        : testingStreams.has(stream.id)
+                          ? t("cameraWizard.step4.connectingStream")
+                          : t("cameraWizard.step4.connectStream")}
+                    </Button>
+                  </div>
+
+                  {result && (
+                    <div className="space-y-2">
+                      <div className="text-xs">
+                        {t("cameraWizard.step4.issues.title")}
+                      </div>
+                      <div className="rounded-lg bg-background p-3">
+                        <StreamIssues
+                          stream={stream}
+                          measuredBandwidth={measuredBandwidth}
+                          wizardData={wizardData}
+                        />
+                      </div>
+                    </div>
+                  )}
+
+                  {result && !result.success && (
+                    <div className="rounded-md border border-danger/20 bg-danger/10 p-3 text-sm text-danger">
+                      <div className="font-medium">
+                        {t("cameraWizard.step2.testFailedTitle")}
+                      </div>
+                      <div className="mt-1 text-xs">{result.error}</div>
+                    </div>
+                  )}
+                </CardContent>
+              </Card>
+            );
+          })}
+        </div>
+      </div>
+
+      <div className="flex flex-col gap-3 pt-6 sm:flex-row sm:justify-end sm:gap-4">
+        {onBack && (
+          <Button type="button" onClick={onBack} className="sm:flex-1">
+            {t("button.back", { ns: "common" })}
+          </Button>
+        )}
+        <Button
+          type="button"
+          onClick={handleSave}
+          disabled={!canSave || isLoading}
+          className="sm:flex-1"
+          variant="select"
+        >
+          {isLoading && <ActivityIndicator className="mr-2 size-4" />}
+          {isLoading
+            ? t("button.saving", { ns: "common" })
+            : t("cameraWizard.step4.saveAndApply")}
+        </Button>
+      </div>
+    </div>
+  );
+}
+
+type StreamIssuesProps = {
+  stream: StreamConfig;
+  measuredBandwidth: Map<string, number>;
+  wizardData: Partial<WizardFormData>;
+};
+
+function StreamIssues({
+  stream,
+  measuredBandwidth,
+  wizardData,
+}: StreamIssuesProps) {
+  const { t } = useTranslation(["views/settings"]);
+
+  const issues = useMemo(() => {
+    const result: Array<{
+      type: "good" | "warning" | "error";
+      message: string;
+    }> = [];
+
+    if (wizardData.brandTemplate === "reolink") {
+      const streamUrl = stream.url.toLowerCase();
+      if (streamUrl.startsWith("rtsp://")) {
+        result.push({
+          type: "warning",
+          message: t("cameraWizard.step4.issues.brands.reolink-rtsp"),
+        });
+      }
+
+      if (streamUrl.startsWith("http://") && !stream.useFfmpeg) {
+        result.push({
+          type: "warning",
+          message: t("cameraWizard.step4.issues.brands.reolink-http"),
+        });
+      }
+    }
+
+    // Video codec check
+    if (stream.testResult?.videoCodec) {
+      const videoCodec = stream.testResult.videoCodec.toLowerCase();
+      if (["h264", "h265", "hevc"].includes(videoCodec)) {
+        result.push({
+          type: "good",
+          message: t("cameraWizard.step4.issues.videoCodecGood", {
+            codec: stream.testResult.videoCodec,
+          }),
+        });
+      }
+    }
+
+    // Audio codec check
+    if (stream.roles.includes("record")) {
+      if (stream.testResult?.audioCodec) {
+        const audioCodec = stream.testResult.audioCodec.toLowerCase();
+        if (audioCodec === "aac") {
+          result.push({
+            type: "good",
+            message: t("cameraWizard.step4.issues.audioCodecGood", {
+              codec: stream.testResult.audioCodec,
+            }),
+          });
+        } else {
+          result.push({
+            type: "error",
+            message: t("cameraWizard.step4.issues.audioCodecRecordError"),
+          });
+        }
+      } else {
+        result.push({
+          type: "warning",
+          message: t("cameraWizard.step4.issues.noAudioWarning"),
+        });
+      }
+    }
+
+    // Audio detection check
+    if (stream.roles.includes("audio")) {
+      if (!stream.testResult?.audioCodec) {
+        result.push({
+          type: "error",
+          message: t("cameraWizard.step4.issues.audioCodecRequired"),
+        });
+      }
+    }
+
+    // Restreaming check
+    if (stream.roles.includes("record")) {
+      if (stream.restream) {
+        result.push({
+          type: "warning",
+          message: t("cameraWizard.step4.issues.restreamingWarning"),
+        });
+      }
+    }
+
+    if (stream.roles.includes("detect") && stream.resolution) {
+      const [width, height] = stream.resolution.split("x").map(Number);
+      if (!isNaN(width) && !isNaN(height) && width > 0 && height > 0) {
+        const minDimension = Math.min(width, height);
+        const maxDimension = Math.max(width, height);
+        if (minDimension > 1080) {
+          result.push({
+            type: "warning",
+            message: t("cameraWizard.step4.issues.resolutionHigh", {
+              resolution: stream.resolution,
+            }),
+          });
+        } else if (maxDimension < 640) {
+          result.push({
+            type: "error",
+            message: t("cameraWizard.step4.issues.resolutionLow", {
+              resolution: stream.resolution,
+            }),
+          });
+        }
+      }
+    }
+
+    // Substream Check
+    if (
+      wizardData.brandTemplate == "dahua" &&
+      stream.roles.includes("detect") &&
+      stream.url.includes("subtype=1")
+    ) {
+      result.push({
+        type: "warning",
+        message: t("cameraWizard.step4.issues.dahua.substreamWarning"),
+      });
+    }
+    if (
+      wizardData.brandTemplate == "hikvision" &&
+      stream.roles.includes("detect") &&
+      stream.url.includes("/102")
+    ) {
+      result.push({
+        type: "warning",
+        message: t("cameraWizard.step4.issues.hikvision.substreamWarning"),
+      });
+    }
+
+    return result;
+  }, [stream, wizardData, t]);
+
+  if (issues.length === 0) {
+    return null;
+  }
+
+  return (
+    <div className="space-y-2">
+      <BandwidthDisplay
+        streamId={stream.id}
+        measuredBandwidth={measuredBandwidth}
+      />
+      <div className="space-y-1">
+        {issues.map((issue, index) => (
+          <div key={index} className="flex items-center gap-2 text-sm">
+            {issue.type === "good" && (
+              <FaCircleCheck className="size-4 flex-shrink-0 text-success" />
+            )}
+            {issue.type === "warning" && (
+              <FaTriangleExclamation className="size-4 flex-shrink-0 text-yellow-500" />
+            )}
+            {issue.type === "error" && (
+              <LuX className="size-4 flex-shrink-0 text-danger" />
+            )}
+            <span
+              className={
+                issue.type === "good"
+                  ? "text-success"
+                  : issue.type === "warning"
+                    ? "text-yellow-500"
+                    : "text-danger"
+              }
+            >
+              {issue.message}
+            </span>
+          </div>
+        ))}
+      </div>
+    </div>
+  );
+}
+
+type BandwidthDisplayProps = {
+  streamId: string;
+  measuredBandwidth: Map<string, number>;
+};
+
+function BandwidthDisplay({
+  streamId,
+  measuredBandwidth,
+}: BandwidthDisplayProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const streamBandwidth = measuredBandwidth.get(streamId);
+
+  if (!streamBandwidth) return null;
+
+  const perHour = streamBandwidth * 3600; // kB/hour
+  const perHourDisplay =
+    perHour >= 1000000
+      ? `${(perHour / 1000000).toFixed(1)} ${t("unit.data.gbph", { ns: "common" })}`
+      : perHour >= 1000
+        ? `${(perHour / 1000).toFixed(1)} ${t("unit.data.mbph", { ns: "common" })}`
+        : `${perHour.toFixed(0)} ${t("unit.data.kbph", { ns: "common" })}`;
+
+  return (
+    <div className="mb-2 text-sm">
+      <span className="font-medium text-muted-foreground">
+        {t("cameraWizard.step4.estimatedBandwidth")}:
+      </span>{" "}
+      <span className="text-secondary-foreground">
+        {streamBandwidth.toFixed(1)} {t("unit.data.kbps", { ns: "common" })}
+      </span>
+      <span className="ml-2 text-muted-foreground">({perHourDisplay})</span>
+    </div>
+  );
+}
+
+type StreamPreviewProps = {
+  stream: StreamConfig;
+  onBandwidthUpdate?: (streamId: string, bandwidth: number) => void;
+  onStreamRegistered?: (go2rtcStreamId: string) => void;
+};
+
+// live stream preview using MSEPlayer with temp go2rtc streams
+function StreamPreview({
+  stream,
+  onBandwidthUpdate,
+  onStreamRegistered,
+}: StreamPreviewProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const [streamId, setStreamId] = useState(`wizard_${stream.id}_${Date.now()}`);
+  const [registered, setRegistered] = useState(false);
+  const [error, setError] = useState(false);
+
+  const handleStats = useCallback(
+    (stats: PlayerStatsType) => {
+      if (stats.bandwidth > 0) {
+        onBandwidthUpdate?.(stream.id, stats.bandwidth);
+      }
+    },
+    [stream.id, onBandwidthUpdate],
+  );
+
+  const handleReload = useCallback(async () => {
+    // Clean up old stream first
+    if (streamId) {
+      axios.delete(`go2rtc/streams/${streamId}`).catch(() => {
+        // do nothing on cleanup errors - go2rtc won't consume the streams
+      });
+    }
+
+    // Reset state and create new stream ID
+    setError(false);
+    setRegistered(false);
+    setStreamId(`wizard_${stream.id}_${Date.now()}`);
+  }, [stream.id, streamId]);
+
+  useEffect(() => {
+    // Register stream with go2rtc
+    const streamUrl = stream.useFfmpeg ? `ffmpeg:${stream.url}` : stream.url;
+    axios
+      .put(`go2rtc/streams/${streamId}`, null, {
+        params: { src: streamUrl },
+      })
+      .then(async () => {
+        // Add small delay to allow go2rtc api to run and initialize the stream
+        setTimeout(() => {
+          setRegistered(true);
+          onStreamRegistered?.(streamId);
+        }, 500);
+      })
+      .catch(() => {
+        setError(true);
+      });
+
+    // Cleanup on unmount
+    return () => {
+      axios.delete(`go2rtc/streams/${streamId}`).catch(() => {
+        // do nothing on cleanup errors - go2rtc won't consume the streams
+      });
+    };
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [stream.url, stream.useFfmpeg, streamId]);
+
+  const resolution = stream.testResult?.resolution;
+  let aspectRatio = "16/9";
+  if (resolution) {
+    const [width, height] = resolution.split("x").map(Number);
+    if (width && height) {
+      aspectRatio = `${width}/${height}`;
+    }
+  }
+
+  if (error) {
+    return (
+      <div
+        className="flex max-h-[30dvh] flex-col items-center justify-center gap-2 rounded-lg bg-secondary p-4 md:max-h-[20dvh]"
+        style={{ aspectRatio }}
+      >
+        <span className="text-sm text-danger">
+          {t("cameraWizard.step4.streamUnavailable")}
+        </span>
+        <Button
+          variant="outline"
+          size="sm"
+          onClick={handleReload}
+          className="flex items-center gap-2"
+        >
+          <LuRotateCcw className="size-4" />
+          {t("cameraWizard.step4.reload")}
+        </Button>
+      </div>
+    );
+  }
+
+  if (!registered) {
+    return (
+      <div
+        className="flex max-h-[30dvh] items-center justify-center rounded-lg bg-secondary md:max-h-[20dvh]"
+        style={{ aspectRatio }}
+      >
+        <ActivityIndicator className="size-4" />
+        <span className="ml-2 text-sm">
+          {t("cameraWizard.step4.connecting")}
+        </span>
+      </div>
+    );
+  }
+
+  return (
+    <div
+      className="relative max-h-[30dvh] md:max-h-[20dvh]"
+      style={{ aspectRatio }}
+    >
+      <MSEPlayer
+        camera={streamId}
+        playbackEnabled={true}
+        className="max-h-[30dvh] rounded-lg md:max-h-[20dvh]"
+        getStats={true}
+        setStats={handleStats}
+        onError={() => setError(true)}
+      />
+    </div>
+  );
+}
diff --git a/web/src/components/timeline/DetailStream.tsx b/web/src/components/timeline/DetailStream.tsx
new file mode 100644
index 000000000..ef9cd6364
--- /dev/null
+++ b/web/src/components/timeline/DetailStream.tsx
@@ -0,0 +1,1061 @@
+import { useEffect, useMemo, useRef, useState } from "react";
+import { TrackingDetailsSequence } from "@/types/timeline";
+import { getLifecycleItemDescription } from "@/utils/lifecycleUtil";
+import { useDetailStream } from "@/context/detail-stream-context";
+import scrollIntoView from "scroll-into-view-if-needed";
+import useUserInteraction from "@/hooks/use-user-interaction";
+import {
+  formatUnixTimestampToDateTime,
+  getDurationFromTimestamps,
+} from "@/utils/dateUtil";
+import { useTranslation } from "react-i18next";
+import AnnotationOffsetSlider from "@/components/overlay/detail/AnnotationOffsetSlider";
+import { FrigateConfig } from "@/types/frigateConfig";
+import useSWR from "swr";
+import ActivityIndicator from "../indicators/activity-indicator";
+import { Event } from "@/types/event";
+import { EventType } from "@/types/search";
+import { getIconForLabel } from "@/utils/iconUtil";
+import { REVIEW_PADDING, ReviewSegment } from "@/types/review";
+import { LuChevronDown, LuCircle, LuChevronRight } from "react-icons/lu";
+import { getTranslatedLabel } from "@/utils/i18n";
+import EventMenu from "@/components/timeline/EventMenu";
+import { FrigatePlusDialog } from "@/components/overlay/dialog/FrigatePlusDialog";
+import { cn } from "@/lib/utils";
+import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
+import { Link } from "react-router-dom";
+import { Switch } from "@/components/ui/switch";
+import { useUserPersistence } from "@/hooks/use-user-persistence";
+import { isDesktop, isIOS, isMobile } from "react-device-detect";
+import { resolveZoneName } from "@/hooks/use-zone-friendly-name";
+import { PiSlidersHorizontalBold } from "react-icons/pi";
+import { MdAutoAwesome } from "react-icons/md";
+import { isPWA } from "@/utils/isPWA";
+import { isInIframe } from "@/utils/isIFrame";
+import { GenAISummaryDialog } from "../overlay/chip/GenAISummaryChip";
+
+type DetailStreamProps = {
+  reviewItems?: ReviewSegment[];
+  currentTime: number;
+  isPlaying?: boolean;
+  onSeek: (timestamp: number, play?: boolean) => void;
+};
+
+export default function DetailStream({
+  reviewItems,
+  currentTime,
+  isPlaying = false,
+  onSeek,
+}: DetailStreamProps) {
+  const { data: config } = useSWR<FrigateConfig>("config");
+  const { t } = useTranslation("views/events");
+  const { annotationOffset } = useDetailStream();
+  const scrollRef = useRef<HTMLDivElement>(null);
+
+  const [activeReviewId, setActiveReviewId] = useState<string | undefined>(
+    undefined,
+  );
+  const { userInteracting, setProgrammaticScroll } = useUserInteraction({
+    elementRef: scrollRef,
+  });
+
+  const effectiveTime = currentTime - annotationOffset / 1000;
+  const [upload, setUpload] = useState<Event | undefined>(undefined);
+  const [controlsExpanded, setControlsExpanded] = useState(false);
+  const [alwaysExpandActive, setAlwaysExpandActive] = useUserPersistence(
+    "detailStreamActiveExpanded",
+    true,
+  );
+
+  const onSeekCheckPlaying = (timestamp: number) => {
+    onSeek(timestamp, isPlaying);
+  };
+
+  // Ensure we initialize the active review when reviewItems first arrive.
+  // This helps when the component mounts while the video is already
+  // playing — it guarantees the matching review is highlighted right
+  // away instead of waiting for a future effectiveTime change.
+  useEffect(() => {
+    if (!reviewItems || reviewItems.length === 0) return;
+    if (activeReviewId) return;
+
+    let target: ReviewSegment | undefined;
+    let closest: { r: ReviewSegment; diff: number } | undefined;
+
+    for (const r of reviewItems) {
+      const start = r.start_time ?? 0;
+      const end = r.end_time ?? r.start_time ?? start;
+      if (effectiveTime >= start && effectiveTime <= end) {
+        target = r;
+        break;
+      }
+      const mid = (start + end) / 2;
+      const diff = Math.abs(effectiveTime - mid);
+      if (!closest || diff < closest.diff) closest = { r, diff };
+    }
+
+    if (!target && closest) target = closest.r;
+
+    if (target) {
+      const start = target.start_time ?? 0;
+      setActiveReviewId(
+        `review-${target.id ?? target.start_time ?? Math.floor(start)}`,
+      );
+    }
+  }, [reviewItems, activeReviewId, effectiveTime]);
+
+  // Initial scroll to active review (runs immediately when user selects, not during playback)
+  useEffect(() => {
+    if (!scrollRef.current || !activeReviewId || userInteracting || isPlaying)
+      return;
+
+    const element = scrollRef.current.querySelector(
+      `[data-review-id="${activeReviewId}"]`,
+    ) as HTMLElement;
+
+    if (element) {
+      setProgrammaticScroll();
+      scrollIntoView(element, {
+        scrollMode: "if-needed",
+        behavior: isMobile && isIOS && !isPWA && isInIframe ? "auto" : "smooth",
+      });
+    }
+  }, [activeReviewId, setProgrammaticScroll, userInteracting, isPlaying]);
+
+  // Auto-scroll to current time during playback
+  useEffect(() => {
+    if (!scrollRef.current || userInteracting || !isPlaying) return;
+    // Prefer the review whose range contains the effectiveTime. If none
+    // contains it, pick the nearest review (by mid-point distance). This is
+    // robust to unordered reviewItems and avoids always picking the last
+    // element.
+    const items = reviewItems ?? [];
+    if (items.length === 0) return;
+
+    let target: ReviewSegment | undefined;
+    let closest: { r: ReviewSegment; diff: number } | undefined;
+
+    for (const r of items) {
+      const start = r.start_time ?? 0;
+      const end = r.end_time ?? r.start_time ?? start;
+      if (effectiveTime >= start && effectiveTime <= end) {
+        target = r;
+        break;
+      }
+      const mid = (start + end) / 2;
+      const diff = Math.abs(effectiveTime - mid);
+      if (!closest || diff < closest.diff) closest = { r, diff };
+    }
+
+    if (!target && closest) target = closest.r;
+
+    if (target) {
+      const start = target.start_time ?? 0;
+      const id = `review-${target.id ?? target.start_time ?? Math.floor(start)}`;
+      const element = scrollRef.current.querySelector(
+        `[data-review-id="${id}"]`,
+      ) as HTMLElement;
+      if (element) {
+        // Only scroll if element is completely out of view
+        const containerRect = scrollRef.current.getBoundingClientRect();
+        const elementRect = element.getBoundingClientRect();
+        const isFullyInvisible =
+          elementRect.bottom < containerRect.top ||
+          elementRect.top > containerRect.bottom;
+
+        if (isFullyInvisible) {
+          setProgrammaticScroll();
+          scrollIntoView(element, {
+            scrollMode: "if-needed",
+            behavior:
+              isMobile && isIOS && !isPWA && isInIframe ? "auto" : "smooth",
+          });
+        }
+      }
+    }
+  }, [
+    reviewItems,
+    effectiveTime,
+    annotationOffset,
+    userInteracting,
+    setProgrammaticScroll,
+    isPlaying,
+  ]);
+
+  // Auto-select active review based on effectiveTime (if inside a review range)
+  useEffect(() => {
+    if (!reviewItems || reviewItems.length === 0) return;
+    for (const r of reviewItems) {
+      const start = r.start_time ?? 0;
+      const end = r.end_time ?? r.start_time ?? start;
+      if (effectiveTime >= start && effectiveTime <= end) {
+        setActiveReviewId(
+          `review-${r.id ?? r.start_time ?? Math.floor(start)}`,
+        );
+        return;
+      }
+    }
+  }, [effectiveTime, reviewItems]);
+
+  if (!config) {
+    return <ActivityIndicator />;
+  }
+
+  return (
+    <>
+      <FrigatePlusDialog
+        upload={upload}
+        onClose={() => setUpload(undefined)}
+        onEventUploaded={() => {
+          if (upload) {
+            upload.plus_id = "new_upload";
+          }
+        }}
+      />
+
+      <div className="relative flex h-full flex-col">
+        <div
+          ref={scrollRef}
+          className="scrollbar-container flex-1 overflow-y-auto overflow-x-hidden pb-14"
+        >
+          <div className="space-y-4 py-2">
+            {reviewItems?.length === 0 ? (
+              <div className="py-8 text-center text-muted-foreground">
+                {t("detail.noDataFound")}
+              </div>
+            ) : (
+              reviewItems?.map((review: ReviewSegment) => {
+                const id = `review-${review.id ?? review.start_time ?? Math.floor(review.start_time ?? 0)}`;
+                return (
+                  <ReviewGroup
+                    key={id}
+                    id={id}
+                    review={review}
+                    config={config}
+                    onSeek={onSeekCheckPlaying}
+                    effectiveTime={effectiveTime}
+                    annotationOffset={annotationOffset}
+                    isActive={activeReviewId == id}
+                    onActivate={() => setActiveReviewId(id)}
+                    onOpenUpload={(e) => setUpload(e)}
+                    alwaysExpandActive={alwaysExpandActive}
+                  />
+                );
+              })
+            )}
+          </div>
+        </div>
+
+        <div
+          className={cn(
+            "absolute bottom-0 left-0 right-0 z-30 rounded-t-md border border-secondary-highlight bg-background_alt shadow-md",
+            isDesktop && "border-b-0",
+          )}
+        >
+          <button
+            onClick={() => setControlsExpanded(!controlsExpanded)}
+            className="flex w-full items-center justify-between p-3"
+          >
+            <div className="flex items-center gap-2 text-sm font-medium">
+              <PiSlidersHorizontalBold className="size-4" />
+              <span>{t("detail.settings")}</span>
+            </div>
+            {controlsExpanded ? (
+              <LuChevronDown className="size-4 text-primary-variant" />
+            ) : (
+              <LuChevronRight className="size-4 text-primary-variant" />
+            )}
+          </button>
+          {controlsExpanded && (
+            <div className="space-y-3 px-3 pb-3">
+              <AnnotationOffsetSlider />
+              <div className="flex flex-col gap-1">
+                <div className="flex items-center justify-between">
+                  <label className="text-sm font-medium">
+                    {t("detail.alwaysExpandActive.title")}
+                  </label>
+                  <Switch
+                    checked={alwaysExpandActive}
+                    onCheckedChange={setAlwaysExpandActive}
+                  />
+                </div>
+                <div className="text-xs text-muted-foreground">
+                  {t("detail.alwaysExpandActive.desc")}
+                </div>
+              </div>
+            </div>
+          )}
+        </div>
+      </div>
+    </>
+  );
+}
+
+type ReviewGroupProps = {
+  review: ReviewSegment;
+  id: string;
+  config: FrigateConfig;
+  onSeek: (timestamp: number, play?: boolean) => void;
+  isActive?: boolean;
+  onActivate?: () => void;
+  onOpenUpload?: (e: Event) => void;
+  effectiveTime?: number;
+  annotationOffset: number;
+  alwaysExpandActive?: boolean;
+};
+
+function ReviewGroup({
+  review,
+  id,
+  config,
+  onSeek,
+  isActive = false,
+  onActivate,
+  onOpenUpload,
+  effectiveTime,
+  annotationOffset,
+  alwaysExpandActive = false,
+}: ReviewGroupProps) {
+  const { t } = useTranslation("views/events");
+  const [open, setOpen] = useState(false);
+  const start = review.start_time ?? 0;
+  // review.start_time is in detect time, convert to record for seeking
+  const startRecord = start + annotationOffset / 1000;
+
+  // Auto-expand when this review becomes active and alwaysExpandActive is enabled
+  useEffect(() => {
+    if (isActive && alwaysExpandActive) {
+      setOpen(true);
+    }
+  }, [isActive, alwaysExpandActive]);
+
+  const displayTime = formatUnixTimestampToDateTime(start, {
+    timezone: config.ui.timezone,
+    date_format:
+      config.ui.time_format == "24hour"
+        ? t("time.formattedTimestampHourMinuteSecond.24hour", { ns: "common" })
+        : t("time.formattedTimestampHourMinuteSecond.12hour", { ns: "common" }),
+    time_style: "medium",
+    date_style: "medium",
+  });
+
+  const shouldFetchEvents = open && review?.data?.detections?.length > 0;
+
+  const { data: fetchedEvents, isValidating } = useSWR<Event[]>(
+    shouldFetchEvents
+      ? ["event_ids", { ids: review.data.detections.join(",") }]
+      : null,
+  );
+
+  const rawIconLabels: Array<{ label: string; type: EventType }> = [
+    ...(fetchedEvents
+      ? fetchedEvents.map((e) => ({
+          label: e.sub_label ? e.label + "-verified" : e.label,
+          type: e.data.type,
+        }))
+      : (review.data?.objects ?? []).map((obj) => ({
+          label: obj,
+          type: "object" as EventType,
+        }))),
+    ...(review.data?.audio ?? []).map((audio) => ({
+      label: audio,
+      type: "audio" as EventType,
+    })),
+  ];
+
+  // limit to 5 icons
+  const seen = new Set<string>();
+  const iconLabels: Array<{ label: string; type: EventType }> = [];
+  for (const item of rawIconLabels) {
+    if (!seen.has(item.label)) {
+      seen.add(item.label);
+      iconLabels.push(item);
+      if (iconLabels.length >= 5) break;
+    }
+  }
+
+  const reviewInfo = useMemo(() => {
+    const detectionsCount =
+      review.data?.detections?.length ?? (review.data?.objects ?? []).length;
+    const objectCount = fetchedEvents ? fetchedEvents.length : detectionsCount;
+
+    return `${t("detail.trackedObject", { count: objectCount })}`;
+  }, [review, t, fetchedEvents]);
+
+  const reviewDuration = useMemo(
+    () =>
+      getDurationFromTimestamps(
+        review.start_time,
+        review.end_time ?? null,
+        true,
+      ),
+    [review.start_time, review.end_time],
+  );
+
+  return (
+    <div
+      data-review-id={id}
+      className={`mx-1 cursor-pointer rounded-lg bg-secondary px-0 py-3 outline outline-[2px] -outline-offset-[1.8px] ${
+        isActive
+          ? "shadow-selected outline-selected"
+          : "outline-transparent duration-500"
+      }`}
+    >
+      <div
+        className={cn(
+          "flex items-start",
+          open && "border-b border-secondary-highlight pb-4",
+        )}
+        onClick={() => {
+          onActivate?.();
+          onSeek(startRecord);
+        }}
+      >
+        <div className="ml-4 mr-2 mt-1.5 flex flex-row items-start">
+          <LuCircle
+            className={cn(
+              "size-3 duration-500",
+              review.severity == "alert"
+                ? "fill-severity_alert text-severity_alert"
+                : "fill-severity_detection text-severity_detection",
+            )}
+          />
+        </div>
+        <div className="mr-3 grid w-full grid-cols-[1fr_auto] gap-2">
+          <div className="ml-1 flex min-w-0 flex-col gap-1.5">
+            <div className="flex flex-row gap-3">
+              <div className="text-sm font-medium">{displayTime}</div>
+              <div className="relative flex items-center gap-2 text-white">
+                {iconLabels.slice(0, 5).map(({ label: lbl, type }, idx) => (
+                  <div
+                    key={`${lbl}-${idx}`}
+                    className="rounded-full bg-muted-foreground p-1"
+                  >
+                    {getIconForLabel(lbl, type, "size-3 text-white")}
+                  </div>
+                ))}
+              </div>
+            </div>
+            <div className="flex flex-col gap-0.5">
+              {review.data.metadata?.title && (
+                <div className="mb-1 flex min-w-0 items-center gap-1 text-sm text-primary-variant">
+                  <Tooltip>
+                    <TooltipTrigger>
+                      <MdAutoAwesome className="size-3 shrink-0" />
+                    </TooltipTrigger>
+                    <TooltipContent>
+                      {review.data.metadata.title}
+                    </TooltipContent>
+                  </Tooltip>
+                  <GenAISummaryDialog
+                    review={review}
+                    onOpen={(open) => {
+                      if (open) {
+                        onSeek(review.start_time, false);
+                      }
+                    }}
+                  >
+                    <span className="truncate hover:underline">
+                      {review.data.metadata.title}
+                    </span>
+                  </GenAISummaryDialog>
+                </div>
+              )}
+              <div className="flex flex-row items-center gap-1.5">
+                <div className="text-xs text-primary-variant">{reviewInfo}</div>
+
+                {reviewDuration && (
+                  <>
+                    <span className="text-[5px] text-primary-variant">•</span>
+                    <div className="text-xs text-primary-variant">
+                      {reviewDuration}
+                    </div>
+                  </>
+                )}
+              </div>
+            </div>
+          </div>
+          <div
+            onClick={(e) => {
+              e.stopPropagation();
+              setOpen((v) => !v);
+            }}
+            className="inline-flex items-center justify-center self-center rounded p-1 hover:bg-secondary/10"
+          >
+            {open ? (
+              <LuChevronDown className="size-4 text-primary-variant" />
+            ) : (
+              <LuChevronRight className="size-4 text-primary-variant" />
+            )}
+          </div>
+        </div>
+      </div>
+
+      {open && (
+        <div className="space-y-0.5">
+          {shouldFetchEvents && isValidating && !fetchedEvents ? (
+            <ActivityIndicator />
+          ) : (
+            (fetchedEvents || []).map((event, index) => {
+              return (
+                <div
+                  key={`event-${event.id}-${index}`}
+                  className="border-b border-secondary-highlight pb-0.5 last:border-0 last:pb-0"
+                >
+                  <EventList
+                    key={event.id}
+                    event={event}
+                    review={review}
+                    effectiveTime={effectiveTime}
+                    annotationOffset={annotationOffset}
+                    onSeek={onSeek}
+                    onOpenUpload={onOpenUpload}
+                  />
+                </div>
+              );
+            })
+          )}
+          {review.data.audio && review.data.audio.length > 0 && (
+            <div className="space-y-1">
+              {review.data.audio.map((audioLabel) => (
+                <div
+                  key={audioLabel}
+                  className="rounded-md bg-secondary p-2 outline outline-[3px] -outline-offset-[2.8px] outline-transparent duration-500"
+                >
+                  <div className="ml-1.5 flex items-center gap-2 text-sm font-medium">
+                    <div className="rounded-full bg-muted-foreground p-1">
+                      {getIconForLabel(
+                        audioLabel,
+                        "audio",
+                        "size-3 text-white",
+                      )}
+                    </div>
+                    <span>{getTranslatedLabel(audioLabel, "audio")}</span>
+                  </div>
+                </div>
+              ))}
+            </div>
+          )}
+        </div>
+      )}
+    </div>
+  );
+}
+
+type EventListProps = {
+  event: Event;
+  review: ReviewSegment;
+  effectiveTime?: number;
+  annotationOffset: number;
+  onSeek: (ts: number, play?: boolean) => void;
+  onOpenUpload?: (e: Event) => void;
+};
+function EventList({
+  event,
+  review,
+  effectiveTime,
+  annotationOffset,
+  onSeek,
+  onOpenUpload,
+}: EventListProps) {
+  const { data: config } = useSWR<FrigateConfig>("config");
+
+  const { selectedObjectIds, setSelectedObjectIds, toggleObjectSelection } =
+    useDetailStream();
+
+  const isSelected = selectedObjectIds.includes(event.id);
+
+  const label =
+    event.sub_label || getTranslatedLabel(event.label, event.data.type);
+
+  const handleObjectSelect = (event: Event | undefined) => {
+    if (event) {
+      setSelectedObjectIds([]);
+      setSelectedObjectIds([event.id]);
+      // event.start_time is detect time, convert to record
+      const recordTime = event.start_time + annotationOffset / 1000;
+      onSeek(recordTime);
+    } else {
+      setSelectedObjectIds([]);
+    }
+  };
+
+  const handleTimelineClick = (ts: number, play?: boolean) => {
+    setSelectedObjectIds([]);
+    setSelectedObjectIds([event.id]);
+    onSeek(ts, play);
+  };
+
+  // Clear selection when effectiveTime has passed this event's end_time
+  useEffect(() => {
+    if (isSelected && effectiveTime && event.end_time) {
+      if (effectiveTime >= event.end_time) {
+        toggleObjectSelection(event.id);
+      }
+    }
+  }, [
+    isSelected,
+    event.id,
+    event.end_time,
+    effectiveTime,
+    toggleObjectSelection,
+  ]);
+
+  return (
+    <>
+      <div
+        className={cn(
+          "rounded-md bg-secondary p-2",
+          isSelected
+            ? "bg-secondary-highlight"
+            : "outline-transparent duration-500",
+        )}
+      >
+        <div className="ml-1.5 flex w-full items-end justify-between">
+          <div className="flex flex-1 items-center gap-2 text-sm font-medium">
+            <div
+              className={cn(
+                "relative rounded-full p-1 text-white",
+                (effectiveTime ?? 0) >= (event.start_time ?? 0) - 0.5 &&
+                  (effectiveTime ?? 0) <=
+                    (event.end_time ?? event.start_time ?? 0) + 0.5
+                  ? "bg-selected"
+                  : "bg-muted-foreground",
+              )}
+              onClick={(e) => {
+                e.stopPropagation();
+                handleObjectSelect(event);
+              }}
+              role="button"
+            >
+              {getIconForLabel(
+                event.sub_label ? event.label + "-verified" : event.label,
+                event.data.type,
+                "size-3 text-white",
+              )}
+            </div>
+            <div
+              className="flex flex-1 items-center gap-2"
+              onClick={(e) => {
+                e.stopPropagation();
+                handleObjectSelect(event);
+              }}
+              role="button"
+            >
+              <div className="flex gap-2">
+                <span className="capitalize">{label}</span>
+                {event.data?.recognized_license_plate && (
+                  <>
+                    <span className="text-secondary-foreground">·</span>
+                    <div className="text-sm text-secondary-foreground">
+                      <Link
+                        to={`/explore?recognized_license_plate=${event.data.recognized_license_plate}`}
+                        className="text-sm"
+                      >
+                        {event.data.recognized_license_plate}
+                      </Link>
+                    </div>
+                  </>
+                )}
+              </div>
+            </div>
+          </div>
+          <div className="mr-2 flex flex-row justify-end">
+            <EventMenu
+              event={event}
+              config={config}
+              onOpenUpload={(e) => onOpenUpload?.(e)}
+              isSelected={isSelected}
+              onToggleSelection={handleObjectSelect}
+            />
+          </div>
+        </div>
+
+        <div className="mt-2">
+          <ObjectTimeline
+            review={review}
+            eventId={event.id}
+            onSeek={handleTimelineClick}
+            effectiveTime={effectiveTime}
+            annotationOffset={annotationOffset}
+            startTime={event.start_time}
+            endTime={event.end_time}
+          />
+        </div>
+      </div>
+    </>
+  );
+}
+
+type LifecycleItemProps = {
+  item: TrackingDetailsSequence;
+  isActive?: boolean;
+  onSeek?: (timestamp: number, play?: boolean) => void;
+  effectiveTime?: number;
+  annotationOffset: number;
+  isTimelineActive?: boolean;
+};
+
+function LifecycleItem({
+  item,
+  isActive,
+  onSeek,
+  effectiveTime,
+  annotationOffset,
+  isTimelineActive = false,
+}: LifecycleItemProps) {
+  const { t } = useTranslation("views/events");
+  const { data: config } = useSWR<FrigateConfig>("config");
+
+  const aspectRatio = useMemo(() => {
+    if (!config || !item?.camera) {
+      return 16 / 9;
+    }
+
+    return (
+      config.cameras[item.camera].detect.width /
+      config.cameras[item.camera].detect.height
+    );
+  }, [config, item]);
+
+  const formattedEventTimestamp = config
+    ? formatUnixTimestampToDateTime(item?.timestamp ?? 0, {
+        timezone: config.ui.timezone,
+        date_format:
+          config.ui.time_format == "24hour"
+            ? t("time.formattedTimestampHourMinuteSecond.24hour", {
+                ns: "common",
+              })
+            : t("time.formattedTimestampHourMinuteSecond.12hour", {
+                ns: "common",
+              }),
+        time_style: "medium",
+        date_style: "medium",
+      })
+    : "";
+
+  const ratio = useMemo(
+    () =>
+      Array.isArray(item?.data.box) && item?.data.box.length >= 4
+        ? (aspectRatio * (item?.data.box[2] / item?.data.box[3])).toFixed(2)
+        : "N/A",
+    [aspectRatio, item],
+  );
+
+  const areaPx = useMemo(
+    () =>
+      Array.isArray(item?.data.box) && item?.data.box.length >= 4
+        ? Math.round(
+            (config?.cameras[item?.camera]?.detect?.width ?? 0) *
+              (config?.cameras[item?.camera]?.detect?.height ?? 0) *
+              (item?.data.box[2] * item?.data.box[3]),
+          )
+        : undefined,
+    [config, item],
+  );
+
+  const areaPct = useMemo(
+    () =>
+      Array.isArray(item?.data.box) && item?.data.box.length >= 4
+        ? (item?.data.box[2] * item?.data.box[3] * 100).toFixed(2)
+        : undefined,
+    [item],
+  );
+
+  const attributeAreaPx = useMemo(
+    () =>
+      Array.isArray(item?.data.attribute_box) &&
+      item?.data.attribute_box.length >= 4
+        ? Math.round(
+            (config?.cameras[item?.camera]?.detect?.width ?? 0) *
+              (config?.cameras[item?.camera]?.detect?.height ?? 0) *
+              (item?.data.attribute_box[2] * item?.data.attribute_box[3]),
+          )
+        : undefined,
+    [config, item],
+  );
+
+  const attributeAreaPct = useMemo(
+    () =>
+      Array.isArray(item?.data.attribute_box) &&
+      item?.data.attribute_box.length >= 4
+        ? (
+            item?.data.attribute_box[2] *
+            item?.data.attribute_box[3] *
+            100
+          ).toFixed(2)
+        : undefined,
+    [item],
+  );
+
+  const score = useMemo(() => {
+    if (item?.data?.score !== undefined) {
+      return (item.data.score * 100).toFixed(0) + "%";
+    }
+    return "N/A";
+  }, [item?.data?.score]);
+
+  return (
+    <div
+      role="button"
+      onClick={() => {
+        const recordTimestamp = item.timestamp + annotationOffset / 1000;
+        onSeek?.(recordTimestamp, false);
+      }}
+      className={cn(
+        "flex cursor-pointer items-center gap-2 text-sm text-primary-variant",
+        isActive
+          ? "font-semibold text-primary dark:font-normal"
+          : "duration-500",
+      )}
+    >
+      <div className="relative flex size-4 items-center justify-center">
+        <LuCircle
+          className={cn(
+            "relative z-10 size-2.5 fill-secondary-foreground stroke-none",
+            (isActive || (effectiveTime ?? 0) >= (item?.timestamp ?? 0)) &&
+              isTimelineActive &&
+              "fill-selected duration-300",
+          )}
+        />
+      </div>
+
+      <div className="ml-0.5 flex min-w-0 flex-1">
+        <Tooltip>
+          <TooltipTrigger>
+            <div className="flex items-start break-words text-left">
+              {getLifecycleItemDescription(item)}
+            </div>
+          </TooltipTrigger>
+          <TooltipContent>
+            <div className="mt-1 flex flex-wrap items-start gap-3 text-sm text-secondary-foreground">
+              <div className="flex flex-col gap-1">
+                <div className="flex items-start gap-1">
+                  <span className="text-muted-foreground">
+                    {t("trackingDetails.lifecycleItemDesc.header.score", {
+                      ns: "views/explore",
+                    })}
+                  </span>
+                  <span className="font-medium text-foreground">{score}</span>
+                </div>
+
+                <div className="flex items-start gap-1">
+                  <span className="text-muted-foreground">
+                    {t("trackingDetails.lifecycleItemDesc.header.ratio", {
+                      ns: "views/explore",
+                    })}
+                  </span>
+                  <span className="font-medium text-foreground">{ratio}</span>
+                </div>
+
+                <div className="flex items-start gap-1">
+                  <span className="text-muted-foreground">
+                    {t("trackingDetails.lifecycleItemDesc.header.area", {
+                      ns: "views/explore",
+                    })}{" "}
+                    {attributeAreaPx !== undefined &&
+                      attributeAreaPct !== undefined && (
+                        <span className="text-muted-foreground">
+                          ({getTranslatedLabel(item.data.label)})
+                        </span>
+                      )}
+                  </span>
+                  {areaPx !== undefined && areaPct !== undefined ? (
+                    <span className="font-medium text-foreground">
+                      {t("information.pixels", { ns: "common", area: areaPx })}{" "}
+                      <span className="text-secondary-foreground">·</span>{" "}
+                      {areaPct}%
+                    </span>
+                  ) : (
+                    <span>N/A</span>
+                  )}
+                </div>
+
+                {attributeAreaPx !== undefined &&
+                  attributeAreaPct !== undefined && (
+                    <div className="flex items-start gap-1">
+                      <span className="text-muted-foreground">
+                        {t("trackingDetails.lifecycleItemDesc.header.area", {
+                          ns: "views/explore",
+                        })}{" "}
+                        {attributeAreaPx !== undefined &&
+                          attributeAreaPct !== undefined && (
+                            <span className="text-muted-foreground">
+                              ({getTranslatedLabel(item.data.attribute)})
+                            </span>
+                          )}
+                      </span>
+                      <span className="font-medium text-foreground">
+                        {attributeAreaPx}{" "}
+                        {t("information.pixels", {
+                          ns: "common",
+                          area: attributeAreaPx,
+                        })}{" "}
+                        <span className="text-secondary-foreground">·</span>{" "}
+                        {attributeAreaPct}%
+                      </span>
+                    </div>
+                  )}
+              </div>
+            </div>
+          </TooltipContent>
+        </Tooltip>
+      </div>
+
+      <div className="ml-3 flex-shrink-0 px-1 text-right text-xs text-primary-variant">
+        <div className="whitespace-nowrap">{formattedEventTimestamp}</div>
+      </div>
+    </div>
+  );
+}
+
+// Fetch and render timeline entries for a single event id on demand.
+function ObjectTimeline({
+  review,
+  eventId,
+  onSeek,
+  effectiveTime,
+  annotationOffset,
+  startTime,
+  endTime,
+}: {
+  review: ReviewSegment;
+  eventId: string;
+  onSeek: (ts: number, play?: boolean) => void;
+  effectiveTime?: number;
+  annotationOffset: number;
+  startTime?: number;
+  endTime?: number;
+}) {
+  const { t } = useTranslation("views/events");
+  const { data: fullTimeline, isValidating } = useSWR<
+    TrackingDetailsSequence[]
+  >([
+    "timeline",
+    {
+      source_id: eventId,
+    },
+  ]);
+
+  const { data: config } = useSWR<FrigateConfig>("config");
+  const timeline = useMemo(() => {
+    if (!fullTimeline) {
+      return fullTimeline;
+    }
+
+    return fullTimeline
+      .filter(
+        (t) =>
+          t.timestamp >= review.start_time - REVIEW_PADDING &&
+          (review.end_time == undefined ||
+            t.timestamp <= review.end_time + REVIEW_PADDING),
+      )
+      .map((event) => ({
+        ...event,
+        data: {
+          ...event.data,
+          zones_friendly_names: event.data?.zones?.map((zone) =>
+            resolveZoneName(config, zone),
+          ),
+        },
+      }));
+  }, [config, fullTimeline, review]);
+
+  if (isValidating && (!timeline || timeline.length === 0)) {
+    return <ActivityIndicator className="ml-2.5 size-3" />;
+  }
+
+  if (!timeline || timeline.length === 0) {
+    return (
+      <div className="ml-8 text-sm text-muted-foreground">
+        {t("detail.noObjectDetailData")}
+      </div>
+    );
+  }
+
+  // Check if current time is within the event's start/stop range
+  const isWithinEventRange =
+    effectiveTime !== undefined &&
+    startTime !== undefined &&
+    endTime !== undefined &&
+    effectiveTime >= startTime &&
+    effectiveTime <= endTime;
+
+  // Calculate how far down the blue line should extend based on effectiveTime
+  const calculateLineHeight = () => {
+    if (!timeline || timeline.length === 0 || !isWithinEventRange) return 0;
+
+    const currentTime = effectiveTime ?? 0;
+
+    // Find which events have been passed
+    let lastPassedIndex = -1;
+    for (let i = 0; i < timeline.length; i++) {
+      if (currentTime >= (timeline[i].timestamp ?? 0)) {
+        lastPassedIndex = i;
+      } else {
+        break;
+      }
+    }
+
+    // No events passed yet
+    if (lastPassedIndex < 0) return 0;
+
+    // All events passed
+    if (lastPassedIndex >= timeline.length - 1) return 100;
+
+    // Calculate percentage based on item position, not time
+    // Each item occupies an equal visual space regardless of time gaps
+    const itemPercentage = 100 / (timeline.length - 1);
+
+    // Find progress between current and next event for smooth transition
+    const currentEvent = timeline[lastPassedIndex];
+    const nextEvent = timeline[lastPassedIndex + 1];
+    const currentTimestamp = currentEvent.timestamp ?? 0;
+    const nextTimestamp = nextEvent.timestamp ?? 0;
+
+    // Calculate interpolation between the two events
+    const timeBetween = nextTimestamp - currentTimestamp;
+    const timeElapsed = currentTime - currentTimestamp;
+    const interpolation = timeBetween > 0 ? timeElapsed / timeBetween : 0;
+
+    // Base position plus interpolated progress to next item
+    return Math.min(
+      100,
+      lastPassedIndex * itemPercentage + interpolation * itemPercentage,
+    );
+  };
+
+  const activeLineHeight = calculateLineHeight();
+
+  return (
+    <div className="-pb-2 relative mx-2">
+      <div className="absolute -top-2 bottom-2 left-2 z-0 w-0.5 -translate-x-1/2 bg-secondary-foreground" />
+      {isWithinEventRange && (
+        <div
+          className={cn(
+            "absolute left-2 top-2 z-[5] max-h-[calc(100%-1rem)] w-0.5 -translate-x-1/2 bg-selected transition-all duration-300",
+          )}
+          style={{ height: `${activeLineHeight}%` }}
+        />
+      )}
+      <div className="space-y-2">
+        {timeline.map((event, idx) => {
+          const isActive =
+            Math.abs((effectiveTime ?? 0) - (event.timestamp ?? 0)) <= 0.5;
+
+          return (
+            <LifecycleItem
+              key={`${event.timestamp}-${event.source_id ?? ""}-${idx}`}
+              item={event}
+              onSeek={onSeek}
+              isActive={isActive}
+              effectiveTime={effectiveTime}
+              annotationOffset={annotationOffset}
+              isTimelineActive={isWithinEventRange}
+            />
+          );
+        })}
+      </div>
+    </div>
+  );
+}
diff --git a/web/src/components/timeline/EventMenu.tsx b/web/src/components/timeline/EventMenu.tsx
new file mode 100644
index 000000000..e6ad8eba4
--- /dev/null
+++ b/web/src/components/timeline/EventMenu.tsx
@@ -0,0 +1,125 @@
+import {
+  DropdownMenu,
+  DropdownMenuTrigger,
+  DropdownMenuContent,
+  DropdownMenuItem,
+  DropdownMenuPortal,
+  DropdownMenuSeparator,
+} from "@/components/ui/dropdown-menu";
+import { HiDotsHorizontal } from "react-icons/hi";
+import { useApiHost } from "@/api";
+import { useNavigate } from "react-router-dom";
+import { useTranslation } from "react-i18next";
+import { Event } from "@/types/event";
+import { FrigateConfig } from "@/types/frigateConfig";
+import { useState } from "react";
+import { useIsAdmin } from "@/hooks/use-is-admin";
+
+type EventMenuProps = {
+  event: Event;
+  config?: FrigateConfig;
+  onOpenUpload?: (e: Event) => void;
+  onOpenSimilarity?: (e: Event) => void;
+  isSelected?: boolean;
+  onToggleSelection?: (event: Event | undefined) => void;
+};
+
+export default function EventMenu({
+  event,
+  config,
+  onOpenUpload,
+  onOpenSimilarity,
+  isSelected = false,
+  onToggleSelection,
+}: EventMenuProps) {
+  const apiHost = useApiHost();
+  const navigate = useNavigate();
+  const { t } = useTranslation("views/explore");
+  const [isOpen, setIsOpen] = useState(false);
+  const isAdmin = useIsAdmin();
+
+  const handleObjectSelect = () => {
+    if (isSelected) {
+      onToggleSelection?.(undefined);
+    } else {
+      onToggleSelection?.(event);
+    }
+  };
+
+  return (
+    <>
+      <span tabIndex={0} className="sr-only" />
+      <DropdownMenu open={isOpen} onOpenChange={setIsOpen}>
+        <DropdownMenuTrigger>
+          <div className="rounded p-1 pr-2" role="button">
+            <HiDotsHorizontal className="size-4 text-muted-foreground" />
+          </div>
+        </DropdownMenuTrigger>
+        <DropdownMenuPortal>
+          <DropdownMenuContent>
+            <DropdownMenuItem
+              className="cursor-pointer"
+              onSelect={handleObjectSelect}
+            >
+              {isSelected
+                ? t("itemMenu.hideObjectDetails.label")
+                : t("itemMenu.showObjectDetails.label")}
+            </DropdownMenuItem>
+            <DropdownMenuSeparator className="my-0.5" />
+            <DropdownMenuItem
+              className="cursor-pointer"
+              onSelect={() => {
+                navigate(`/explore?event_id=${event.id}`);
+              }}
+            >
+              {t("details.item.button.viewInExplore")}
+            </DropdownMenuItem>
+            <DropdownMenuItem className="cursor-pointer" asChild>
+              <a
+                download
+                href={
+                  event.has_snapshot
+                    ? `${apiHost}api/events/${event.id}/snapshot.jpg`
+                    : `${apiHost}api/events/${event.id}/thumbnail.webp`
+                }
+              >
+                {t("itemMenu.downloadSnapshot.label")}
+              </a>
+            </DropdownMenuItem>
+
+            {isAdmin &&
+              event.has_snapshot &&
+              event.plus_id == undefined &&
+              event.data.type == "object" &&
+              config?.plus?.enabled && (
+                <DropdownMenuItem
+                  className="cursor-pointer"
+                  onSelect={() => {
+                    setIsOpen(false);
+                    onOpenUpload?.(event);
+                  }}
+                >
+                  {t("itemMenu.submitToPlus.label")}
+                </DropdownMenuItem>
+              )}
+
+            {event.has_snapshot && config?.semantic_search?.enabled && (
+              <DropdownMenuItem
+                className="cursor-pointer"
+                onSelect={() => {
+                  if (onOpenSimilarity) onOpenSimilarity(event);
+                  else
+                    navigate(
+                      `/explore?search_type=similarity&event_id=${event.id}`,
+                    );
+                }}
+              >
+                {t("itemMenu.findSimilar.label")}
+              </DropdownMenuItem>
+            )}
+          </DropdownMenuContent>
+        </DropdownMenuPortal>
+      </DropdownMenu>
+    </>
+  );
+}
diff --git a/web/src/components/timeline/EventReviewTimeline.tsx b/web/src/components/timeline/EventReviewTimeline.tsx
index 27f318edb..89e73c21d 100644
--- a/web/src/components/timeline/EventReviewTimeline.tsx
+++ b/web/src/components/timeline/EventReviewTimeline.tsx
@@ -10,6 +10,7 @@ import {
   ReviewSegment,
   ReviewSeverity,
   TimelineZoomDirection,
+  ZoomLevel,
 } from "@/types/review";
 import ReviewTimeline from "./ReviewTimeline";
 import {
@@ -42,6 +43,9 @@ export type EventReviewTimelineProps = {
   isZooming: boolean;
   zoomDirection: TimelineZoomDirection;
   dense?: boolean;
+  onZoomChange?: (newZoomLevel: number) => void;
+  possibleZoomLevels?: ZoomLevel[];
+  currentZoomLevel?: number;
 };
 
 export function EventReviewTimeline({
@@ -69,6 +73,9 @@ export function EventReviewTimeline({
   isZooming,
   zoomDirection,
   dense = false,
+  onZoomChange,
+  possibleZoomLevels,
+  currentZoomLevel,
 }: EventReviewTimelineProps) {
   const internalTimelineRef = useRef<HTMLDivElement>(null);
   const selectedTimelineRef = timelineRef || internalTimelineRef;
@@ -157,6 +164,9 @@ export function EventReviewTimeline({
       scrollToSegment={scrollToSegment}
       isZooming={isZooming}
       zoomDirection={zoomDirection}
+      onZoomChange={onZoomChange}
+      possibleZoomLevels={possibleZoomLevels}
+      currentZoomLevel={currentZoomLevel}
     >
       <VirtualizedEventSegments
         ref={virtualizedSegmentsRef}
diff --git a/web/src/components/timeline/EventSegment.tsx b/web/src/components/timeline/EventSegment.tsx
index b6bd9d137..368e0fad5 100644
--- a/web/src/components/timeline/EventSegment.tsx
+++ b/web/src/components/timeline/EventSegment.tsx
@@ -1,4 +1,3 @@
-import { useApiHost } from "@/api";
 import { useTimelineUtils } from "@/hooks/use-timeline-utils";
 import { useEventSegmentUtils } from "@/hooks/use-event-segment-utils";
 import { ReviewSegment, ReviewSeverity } from "@/types/review";
@@ -18,6 +17,7 @@ import { HoverCardPortal } from "@radix-ui/react-hover-card";
 import scrollIntoView from "scroll-into-view-if-needed";
 import { MinimapBounds, Tick, Timestamp } from "./segment-metadata";
 import useTapUtils from "@/hooks/use-tap-utils";
+import ReviewCard from "../card/ReviewCard";
 
 type EventSegmentProps = {
   events: ReviewSegment[];
@@ -54,7 +54,7 @@ export function EventSegment({
     displaySeverityType,
     shouldShowRoundedCorners,
     getEventStart,
-    getEventThumbnail,
+    getEvent,
   } = useEventSegmentUtils(segmentDuration, events, severityType);
 
   const { alignStartDateToTimeline, alignEndDateToTimeline } = useTimelineUtils(
@@ -87,13 +87,11 @@ export function EventSegment({
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [getEventStart, segmentTime]);
 
-  const apiHost = useApiHost();
-
   const { handleTouchStart } = useTapUtils();
 
-  const eventThumbnail = useMemo(() => {
-    return getEventThumbnail(segmentTime);
-  }, [getEventThumbnail, segmentTime]);
+  const segmentEvent = useMemo(() => {
+    return getEvent(segmentTime);
+  }, [getEvent, segmentTime]);
 
   const timestamp = useMemo(() => new Date(segmentTime * 1000), [segmentTime]);
   const segmentKey = useMemo(
@@ -235,7 +233,7 @@ export function EventSegment({
                   <div className="flex w-[20px] flex-row justify-center md:w-[40px]">
                     <div className="flex justify-center">
                       <div
-                        className="absolute left-1/2 z-10 ml-[2px] h-[8px] w-[8px] -translate-x-1/2 transform cursor-pointer"
+                        className="absolute left-1/2 z-10 ml-[2px] h-[8px] w-[8px] -translate-x-1/2 transform cursor-pointer md:ml-0"
                         data-severity={severityValue}
                       >
                         <div
@@ -252,10 +250,7 @@ export function EventSegment({
                   className="w-[250px] rounded-lg p-2 md:rounded-2xl"
                   side="left"
                 >
-                  <img
-                    className="rounded-lg"
-                    src={`${apiHost}${eventThumbnail.replace("/media/frigate/", "")}`}
-                  />
+                  {segmentEvent && <ReviewCard event={segmentEvent} />}
                 </HoverCardContent>
               </HoverCardPortal>
             </HoverCard>
diff --git a/web/src/components/timeline/MotionReviewTimeline.tsx b/web/src/components/timeline/MotionReviewTimeline.tsx
index 662ccf150..cefd8f2d3 100644
--- a/web/src/components/timeline/MotionReviewTimeline.tsx
+++ b/web/src/components/timeline/MotionReviewTimeline.tsx
@@ -10,6 +10,7 @@ import {
   MotionData,
   ReviewSegment,
   TimelineZoomDirection,
+  ZoomLevel,
 } from "@/types/review";
 import ReviewTimeline from "./ReviewTimeline";
 import { useMotionSegmentUtils } from "@/hooks/use-motion-segment-utils";
@@ -46,6 +47,10 @@ export type MotionReviewTimelineProps = {
   dense?: boolean;
   isZooming: boolean;
   zoomDirection: TimelineZoomDirection;
+  alwaysShowMotionLine?: boolean;
+  onZoomChange?: (newZoomLevel: number) => void;
+  possibleZoomLevels?: ZoomLevel[];
+  currentZoomLevel?: number;
 };
 
 export function MotionReviewTimeline({
@@ -75,6 +80,10 @@ export function MotionReviewTimeline({
   dense = false,
   isZooming,
   zoomDirection,
+  alwaysShowMotionLine = false,
+  onZoomChange,
+  possibleZoomLevels,
+  currentZoomLevel,
 }: MotionReviewTimelineProps) {
   const internalTimelineRef = useRef<HTMLDivElement>(null);
   const selectedTimelineRef = timelineRef || internalTimelineRef;
@@ -102,7 +111,7 @@ export function MotionReviewTimeline({
 
   const getRecordingAvailability = useCallback(
     (time: number): boolean | undefined => {
-      if (!noRecordingRanges?.length) return undefined;
+      if (noRecordingRanges == undefined) return undefined;
 
       return !noRecordingRanges.some(
         (range) => time >= range.start_time && time < range.end_time,
@@ -203,6 +212,10 @@ export function MotionReviewTimeline({
       scrollToSegment={scrollToSegment}
       isZooming={isZooming}
       zoomDirection={zoomDirection}
+      getRecordingAvailability={getRecordingAvailability}
+      onZoomChange={onZoomChange}
+      possibleZoomLevels={possibleZoomLevels}
+      currentZoomLevel={currentZoomLevel}
     >
       <VirtualizedMotionSegments
         ref={virtualizedSegmentsRef}
@@ -221,6 +234,7 @@ export function MotionReviewTimeline({
         motionOnly={motionOnly}
         getMotionSegmentValue={getMotionSegmentValue}
         getRecordingAvailability={getRecordingAvailability}
+        alwaysShowMotionLine={alwaysShowMotionLine}
       />
     </ReviewTimeline>
   );
diff --git a/web/src/components/timeline/MotionSegment.tsx b/web/src/components/timeline/MotionSegment.tsx
index d87bfdda3..90ce5e1a5 100644
--- a/web/src/components/timeline/MotionSegment.tsx
+++ b/web/src/components/timeline/MotionSegment.tsx
@@ -16,6 +16,8 @@ type MotionSegmentProps = {
   firstHalfMotionValue: number;
   secondHalfMotionValue: number;
   hasRecording?: boolean;
+  prevIsNoRecording?: boolean;
+  nextIsNoRecording?: boolean;
   motionOnly: boolean;
   showMinimap: boolean;
   minimapStartTime?: number;
@@ -23,6 +25,7 @@ type MotionSegmentProps = {
   setHandlebarTime?: React.Dispatch<React.SetStateAction<number>>;
   scrollToSegment: (segmentTime: number, ifNeeded?: boolean) => void;
   dense: boolean;
+  alwaysShowMotionLine?: boolean;
 };
 
 export function MotionSegment({
@@ -33,6 +36,8 @@ export function MotionSegment({
   firstHalfMotionValue,
   secondHalfMotionValue,
   hasRecording,
+  prevIsNoRecording,
+  nextIsNoRecording,
   motionOnly,
   showMinimap,
   minimapStartTime,
@@ -40,6 +45,7 @@ export function MotionSegment({
   setHandlebarTime,
   scrollToSegment,
   dense,
+  alwaysShowMotionLine = false,
 }: MotionSegmentProps) {
   const severityType = "all";
   const { getSeverity, getReviewed, displaySeverityType } =
@@ -116,6 +122,16 @@ export function MotionSegment({
     return showMinimap && segmentTime === alignedMinimapEndTime;
   }, [showMinimap, segmentTime, alignedMinimapEndTime]);
 
+  // Bottom border: current segment HAS recording, but next segment (below/earlier) has NO recording
+  const isFirstSegmentWithoutRecording = useMemo(() => {
+    return hasRecording === true && nextIsNoRecording === true;
+  }, [hasRecording, nextIsNoRecording]);
+
+  // Top border: current segment HAS recording, but prev segment (above/later) has NO recording
+  const isLastSegmentWithoutRecording = useMemo(() => {
+    return hasRecording === true && prevIsNoRecording === true;
+  }, [hasRecording, prevIsNoRecording]);
+
   const firstMinimapSegmentRef = useRef<HTMLDivElement>(null);
 
   useEffect(() => {
@@ -178,16 +194,17 @@ export function MotionSegment({
             segmentClasses,
             severity[0] && "bg-gradient-to-r",
             severity[0] && severityColorsBg[severity[0]],
-            // TODO: will update this for 0.17
-            false &&
-              hasRecording == false &&
-              firstHalfMotionValue == 0 &&
-              secondHalfMotionValue == 0 &&
-              "bg-slashes",
+            hasRecording == false && "bg-background",
           )}
           onClick={segmentClick}
           onTouchEnd={(event) => handleTouchStart(event, segmentClick)}
         >
+          {isFirstSegmentWithoutRecording && (
+            <div className="absolute bottom-[0px] left-0 right-0 h-[1px] bg-primary-variant/40" />
+          )}
+          {isLastSegmentWithoutRecording && (
+            <div className="absolute -top-[1px] left-0 right-0 h-[1px] bg-primary-variant/50" />
+          )}
           {!motionOnly && (
             <>
               {showMinimap && (
@@ -218,45 +235,50 @@ export function MotionSegment({
             </>
           )}
 
-          <div className="absolute left-1/2 z-10 h-[8px] w-[20px] -translate-x-1/2 transform cursor-pointer md:w-[40px]">
-            <div className="mb-[1px] flex w-[20px] flex-row justify-center pt-[1px] md:w-[40px]">
-              <div className="mb-[1px] flex justify-center">
-                <div
-                  key={`${segmentKey}_motion_data_1`}
-                  data-motion-value={secondHalfSegmentWidth}
-                  className={cn(
-                    "h-[2px]",
-                    "rounded-full",
-                    secondHalfSegmentWidth
-                      ? "bg-motion_review"
-                      : "bg-muted-foreground",
-                  )}
-                  style={{
-                    width: secondHalfSegmentWidth || 1,
-                  }}
-                ></div>
+          {(hasRecording ||
+            firstHalfSegmentWidth > 0 ||
+            secondHalfSegmentWidth > 0 ||
+            alwaysShowMotionLine) && (
+            <div className="absolute left-1/2 z-10 h-[8px] w-[20px] -translate-x-1/2 transform cursor-pointer md:w-[40px]">
+              <div className="mb-[1px] flex w-[20px] flex-row justify-center pt-[1px] md:w-[40px]">
+                <div className="mb-[1px] flex justify-center">
+                  <div
+                    key={`${segmentKey}_motion_data_1`}
+                    data-motion-value={secondHalfSegmentWidth}
+                    className={cn(
+                      "h-[2px]",
+                      "rounded-full",
+                      secondHalfSegmentWidth
+                        ? "bg-motion_review"
+                        : "bg-muted-foreground",
+                    )}
+                    style={{
+                      width: secondHalfSegmentWidth || 1,
+                    }}
+                  ></div>
+                </div>
               </div>
-            </div>
 
-            <div className="flex w-[20px] flex-row justify-center pb-[1px] md:w-[40px]">
-              <div className="flex justify-center">
-                <div
-                  key={`${segmentKey}_motion_data_2`}
-                  data-motion-value={firstHalfSegmentWidth}
-                  className={cn(
-                    "h-[2px]",
-                    "rounded-full",
-                    firstHalfSegmentWidth
-                      ? "bg-motion_review"
-                      : "bg-muted-foreground",
-                  )}
-                  style={{
-                    width: firstHalfSegmentWidth || 1,
-                  }}
-                ></div>
+              <div className="flex w-[20px] flex-row justify-center pb-[1px] md:w-[40px]">
+                <div className="flex justify-center">
+                  <div
+                    key={`${segmentKey}_motion_data_2`}
+                    data-motion-value={firstHalfSegmentWidth}
+                    className={cn(
+                      "h-[2px]",
+                      "rounded-full",
+                      firstHalfSegmentWidth
+                        ? "bg-motion_review"
+                        : "bg-muted-foreground",
+                    )}
+                    style={{
+                      width: firstHalfSegmentWidth || 1,
+                    }}
+                  ></div>
+                </div>
               </div>
             </div>
-          </div>
+          )}
         </div>
       )}
     </>
diff --git a/web/src/components/timeline/ReviewTimeline.tsx b/web/src/components/timeline/ReviewTimeline.tsx
index d2238a718..8a3b6d2da 100644
--- a/web/src/components/timeline/ReviewTimeline.tsx
+++ b/web/src/components/timeline/ReviewTimeline.tsx
@@ -2,7 +2,7 @@ import useDraggableElement from "@/hooks/use-draggable-element";
 import { useTimelineUtils } from "@/hooks/use-timeline-utils";
 import { cn } from "@/lib/utils";
 import { DraggableElement } from "@/types/draggable-element";
-import { TimelineZoomDirection } from "@/types/review";
+import { TimelineZoomDirection, ZoomLevel } from "@/types/review";
 import {
   ReactNode,
   RefObject,
@@ -13,6 +13,11 @@ import {
   useState,
 } from "react";
 import { isIOS, isMobile } from "react-device-detect";
+import { Button } from "../ui/button";
+import { LuZoomIn, LuZoomOut } from "react-icons/lu";
+import { useTranslation } from "react-i18next";
+import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
+import { TooltipPortal } from "@radix-ui/react-tooltip";
 
 export type ReviewTimelineProps = {
   timelineRef: RefObject<HTMLDivElement>;
@@ -36,6 +41,10 @@ export type ReviewTimelineProps = {
   scrollToSegment: (segmentTime: number, ifNeeded?: boolean) => void;
   isZooming: boolean;
   zoomDirection: TimelineZoomDirection;
+  getRecordingAvailability?: (time: number) => boolean | undefined;
+  onZoomChange?: (newZoomLevel: number) => void;
+  possibleZoomLevels?: ZoomLevel[];
+  currentZoomLevel?: number;
   children: ReactNode;
 };
 
@@ -61,8 +70,13 @@ export function ReviewTimeline({
   scrollToSegment,
   isZooming,
   zoomDirection,
+  getRecordingAvailability,
+  onZoomChange,
+  possibleZoomLevels,
+  currentZoomLevel,
   children,
 }: ReviewTimelineProps) {
+  const { t } = useTranslation("views/events");
   const [isDraggingHandlebar, setIsDraggingHandlebar] = useState(false);
   const [isDraggingExportStart, setIsDraggingExportStart] = useState(false);
   const [isDraggingExportEnd, setIsDraggingExportEnd] = useState(false);
@@ -76,6 +90,13 @@ export function ReviewTimeline({
   const exportEndRef = useRef<HTMLDivElement>(null);
   const exportEndTimeRef = useRef<HTMLDivElement>(null);
 
+  // Use provided zoom levels or fallback to empty array
+  const zoomLevels = possibleZoomLevels ?? [];
+
+  const currentZoomLevelIndex =
+    currentZoomLevel ??
+    zoomLevels.findIndex((level) => level.segmentDuration === segmentDuration);
+
   const isDragging = useMemo(
     () => isDraggingHandlebar || isDraggingExportStart || isDraggingExportEnd,
     [isDraggingHandlebar, isDraggingExportStart, isDraggingExportEnd],
@@ -326,143 +347,224 @@ export function ReviewTimeline({
     }
   }, [isDraggingHandlebar, onHandlebarDraggingChange]);
 
+  const isHandlebarInNoRecordingPeriod = useMemo(() => {
+    if (!getRecordingAvailability || handlebarTime === undefined) return false;
+
+    // Check current segment
+    const currentAvailability = getRecordingAvailability(handlebarTime);
+    if (currentAvailability !== false) return false;
+
+    // Check if at least one adjacent segment also has no recordings
+    const beforeAvailability = getRecordingAvailability(
+      handlebarTime - segmentDuration,
+    );
+    const afterAvailability = getRecordingAvailability(
+      handlebarTime + segmentDuration,
+    );
+
+    // If current segment has no recordings AND at least one adjacent segment also has no recordings
+    return beforeAvailability === false || afterAvailability === false;
+  }, [getRecordingAvailability, handlebarTime, segmentDuration]);
+
   return (
-    <div
-      ref={timelineRef}
-      className={cn(
-        "no-scrollbar relative h-full select-none overflow-y-auto bg-secondary transition-all duration-500 ease-in-out",
-        isZooming && zoomDirection === "in" && "animate-timeline-zoom-in",
-        isZooming && zoomDirection === "out" && "animate-timeline-zoom-out",
-        isDragging && (showHandlebar || showExportHandles)
-          ? "cursor-grabbing"
-          : "cursor-auto",
-      )}
-    >
-      <div ref={segmentsRef} className="relative flex flex-col">
-        <div className="pointer-events-none absolute inset-x-0 top-0 z-20 h-[30px] w-full bg-gradient-to-b from-secondary to-transparent"></div>
-        <div className="pointer-events-none absolute inset-x-0 bottom-0 z-20 h-[30px] w-full bg-gradient-to-t from-secondary to-transparent"></div>
-        {children}
+    <>
+      <div
+        ref={timelineRef}
+        className={cn(
+          "no-scrollbar relative h-full select-none overflow-y-auto bg-secondary transition-all duration-500 ease-in-out",
+          isZooming && zoomDirection === "in" && "animate-timeline-zoom-in",
+          isZooming && zoomDirection === "out" && "animate-timeline-zoom-out",
+          isDragging && (showHandlebar || showExportHandles)
+            ? "cursor-grabbing"
+            : "cursor-auto",
+        )}
+      >
+        <div ref={segmentsRef} className="relative flex flex-col">
+          <div className="pointer-events-none absolute inset-x-0 top-0 z-20 h-[30px] w-full bg-gradient-to-b from-secondary to-transparent"></div>
+          <div className="pointer-events-none absolute inset-x-0 bottom-0 z-20 h-[30px] w-full bg-gradient-to-t from-secondary to-transparent"></div>
+          {children}
+        </div>
+        {children && (
+          <>
+            {showHandlebar && (
+              <div
+                className={`absolute left-0 top-0 ${isDraggingHandlebar && isIOS ? "" : "z-20"} w-full`}
+                role="scrollbar"
+                ref={handlebarRef}
+              >
+                <div
+                  className="flex touch-none select-none items-center justify-center"
+                  onMouseDown={handleHandlebar}
+                  onTouchStart={handleHandlebar}
+                >
+                  <div
+                    className={`relative w-full ${
+                      isDraggingHandlebar ? "cursor-grabbing" : "cursor-grab"
+                    }`}
+                  >
+                    <div
+                      className={`mx-auto rounded-full bg-destructive ${
+                        dense
+                          ? "w-12 md:w-20"
+                          : segmentDuration < 60
+                            ? "w-[80px]"
+                            : "w-20"
+                      } h-5 ${isDraggingHandlebar && isMobile ? "fixed left-1/2 top-[18px] z-20 h-[30px] w-auto -translate-x-1/2 transform bg-destructive/80 px-3" : "static"} flex items-center justify-center`}
+                    >
+                      <div
+                        ref={handlebarTimeRef}
+                        className={`pointer-events-none text-white ${textSizeClasses("handlebar")} z-10`}
+                      ></div>
+                    </div>
+                    <div
+                      className={`absolute h-[4px] w-full bg-destructive ${isDraggingHandlebar && isMobile ? "top-1" : "top-1/2 -translate-y-1/2 transform"}`}
+                    ></div>
+                  </div>
+                </div>
+                {/* TODO: determine if we should keep this tooltip */}
+                {false && isHandlebarInNoRecordingPeriod && (
+                  <div className="absolute left-1/2 top-full z-50 mt-2 -translate-x-1/2 rounded-md bg-destructive/80 px-4 py-1 text-center text-xs text-white shadow-lg">
+                    No recordings
+                  </div>
+                )}
+              </div>
+            )}
+            {showExportHandles && (
+              <>
+                <div
+                  className={`export-end absolute left-0 top-0 ${isDraggingExportEnd && isIOS ? "" : "z-20"} w-full`}
+                  role="scrollbar"
+                  ref={exportEndRef}
+                >
+                  <div
+                    className="flex touch-none select-none items-center justify-center"
+                    onMouseDown={handleExportEnd}
+                    onTouchStart={handleExportEnd}
+                  >
+                    <div
+                      className={`relative mt-[6.5px] w-full ${
+                        isDraggingExportEnd ? "cursor-grabbing" : "cursor-grab"
+                      }`}
+                    >
+                      <div
+                        className={`mx-auto -mt-4 bg-selected ${
+                          dense
+                            ? "w-12 md:w-20"
+                            : segmentDuration < 60
+                              ? "w-[80px]"
+                              : "w-20"
+                        } h-5 ${isDraggingExportEnd && isMobile ? "fixed left-1/2 top-[18px] z-20 mt-0 h-[30px] w-auto -translate-x-1/2 transform rounded-full bg-selected/80 px-3" : "static rounded-tl-lg rounded-tr-lg"} flex items-center justify-center`}
+                      >
+                        <div
+                          ref={exportEndTimeRef}
+                          className={`pointer-events-none text-white ${isDraggingExportEnd && isMobile ? "mt-0" : ""} ${textSizeClasses("export_end")} z-10`}
+                        ></div>
+                      </div>
+                      <div
+                        className={`absolute h-[4px] w-full bg-selected ${isDraggingExportEnd && isMobile ? "top-0" : "top-1/2 -translate-y-1/2 transform"}`}
+                      ></div>
+                    </div>
+                  </div>
+                </div>
+                <div
+                  ref={exportSectionRef}
+                  className="absolute w-full bg-selected/50"
+                ></div>
+                <div
+                  className={`export-start absolute left-0 top-0 ${isDraggingExportStart && isIOS ? "" : "z-20"} w-full`}
+                  role="scrollbar"
+                  ref={exportStartRef}
+                >
+                  <div
+                    className="flex touch-none select-none items-center justify-center"
+                    onMouseDown={handleExportStart}
+                    onTouchStart={handleExportStart}
+                  >
+                    <div
+                      className={`relative -mt-[6.5px] w-full ${
+                        isDragging ? "cursor-grabbing" : "cursor-grab"
+                      }`}
+                    >
+                      <div
+                        className={`absolute h-[4px] w-full bg-selected ${isDraggingExportStart && isMobile ? "top-[12px]" : "top-1/2 -translate-y-1/2 transform"}`}
+                      ></div>
+                      <div
+                        className={`mx-auto mt-4 bg-selected ${
+                          dense
+                            ? "w-12 md:w-20"
+                            : segmentDuration < 60
+                              ? "w-[80px]"
+                              : "w-20"
+                        } h-5 ${isDraggingExportStart && isMobile ? "fixed left-1/2 top-[4px] z-20 mt-0 h-[30px] w-auto -translate-x-1/2 transform rounded-full bg-selected/80 px-3" : "static rounded-bl-lg rounded-br-lg"} flex items-center justify-center`}
+                      >
+                        <div
+                          ref={exportStartTimeRef}
+                          className={`pointer-events-none text-white ${isDraggingExportStart && isMobile ? "mt-0" : ""} ${textSizeClasses("export_start")} z-10`}
+                        ></div>
+                      </div>
+                    </div>
+                  </div>
+                </div>
+              </>
+            )}
+          </>
+        )}
       </div>
-      {children && (
-        <>
-          {showHandlebar && (
-            <div
-              className={`absolute left-0 top-0 ${isDraggingHandlebar && isIOS ? "" : "z-20"} w-full`}
-              role="scrollbar"
-              ref={handlebarRef}
-            >
-              <div
-                className="flex touch-none select-none items-center justify-center"
-                onMouseDown={handleHandlebar}
-                onTouchStart={handleHandlebar}
+
+      {onZoomChange && currentZoomLevelIndex !== -1 && (
+        <div
+          className={`absolute z-30 flex gap-2 ${
+            isMobile
+              ? "bottom-4 right-1 flex-col-reverse gap-3"
+              : "bottom-2 left-1/2 -translate-x-1/2"
+          }`}
+        >
+          <Tooltip>
+            <TooltipTrigger asChild>
+              <Button
+                onClick={(e) => {
+                  const newLevel = Math.max(0, currentZoomLevelIndex - 1);
+                  onZoomChange(newLevel);
+                  e.currentTarget.blur();
+                }}
+                variant="outline"
+                disabled={currentZoomLevelIndex === 0}
+                className="bg-background_alt p-3 hover:bg-accent hover:text-accent-foreground active:scale-95 [@media(hover:none)]:hover:bg-background_alt"
+                type="button"
               >
-                <div
-                  className={`relative w-full ${
-                    isDraggingHandlebar ? "cursor-grabbing" : "cursor-grab"
-                  }`}
-                >
-                  <div
-                    className={`mx-auto rounded-full bg-destructive ${
-                      dense
-                        ? "w-12 md:w-20"
-                        : segmentDuration < 60
-                          ? "w-[80px]"
-                          : "w-20"
-                    } h-5 ${isDraggingHandlebar && isMobile ? "fixed left-1/2 top-[18px] z-20 h-[30px] w-auto -translate-x-1/2 transform bg-destructive/80 px-3" : "static"} flex items-center justify-center`}
-                  >
-                    <div
-                      ref={handlebarTimeRef}
-                      className={`pointer-events-none text-white ${textSizeClasses("handlebar")} z-10`}
-                    ></div>
-                  </div>
-                  <div
-                    className={`absolute h-[4px] w-full bg-destructive ${isDraggingHandlebar && isMobile ? "top-1" : "top-1/2 -translate-y-1/2 transform"}`}
-                  ></div>
-                </div>
-              </div>
-            </div>
-          )}
-          {showExportHandles && (
-            <>
-              <div
-                className={`export-end absolute left-0 top-0 ${isDraggingExportEnd && isIOS ? "" : "z-20"} w-full`}
-                role="scrollbar"
-                ref={exportEndRef}
+                <LuZoomOut className={cn("size-5 text-primary-variant")} />
+              </Button>
+            </TooltipTrigger>
+            <TooltipPortal>
+              <TooltipContent>{t("zoomIn")}</TooltipContent>
+            </TooltipPortal>
+          </Tooltip>
+          <Tooltip>
+            <TooltipTrigger asChild>
+              <Button
+                onClick={(e) => {
+                  const newLevel = Math.min(
+                    zoomLevels.length - 1,
+                    currentZoomLevelIndex + 1,
+                  );
+                  onZoomChange(newLevel);
+                  e.currentTarget.blur();
+                }}
+                variant="outline"
+                disabled={currentZoomLevelIndex === zoomLevels.length - 1}
+                className="bg-background_alt p-3 hover:bg-accent hover:text-accent-foreground active:scale-95 [@media(hover:none)]:hover:bg-background_alt"
+                type="button"
               >
-                <div
-                  className="flex touch-none select-none items-center justify-center"
-                  onMouseDown={handleExportEnd}
-                  onTouchStart={handleExportEnd}
-                >
-                  <div
-                    className={`relative mt-[6.5px] w-full ${
-                      isDraggingExportEnd ? "cursor-grabbing" : "cursor-grab"
-                    }`}
-                  >
-                    <div
-                      className={`mx-auto -mt-4 bg-selected ${
-                        dense
-                          ? "w-12 md:w-20"
-                          : segmentDuration < 60
-                            ? "w-[80px]"
-                            : "w-20"
-                      } h-5 ${isDraggingExportEnd && isMobile ? "fixed left-1/2 top-[18px] z-20 mt-0 h-[30px] w-auto -translate-x-1/2 transform rounded-full bg-selected/80 px-3" : "static rounded-tl-lg rounded-tr-lg"} flex items-center justify-center`}
-                    >
-                      <div
-                        ref={exportEndTimeRef}
-                        className={`pointer-events-none text-white ${isDraggingExportEnd && isMobile ? "mt-0" : ""} ${textSizeClasses("export_end")} z-10`}
-                      ></div>
-                    </div>
-                    <div
-                      className={`absolute h-[4px] w-full bg-selected ${isDraggingExportEnd && isMobile ? "top-0" : "top-1/2 -translate-y-1/2 transform"}`}
-                    ></div>
-                  </div>
-                </div>
-              </div>
-              <div
-                ref={exportSectionRef}
-                className="absolute w-full bg-selected/50"
-              ></div>
-              <div
-                className={`export-start absolute left-0 top-0 ${isDraggingExportStart && isIOS ? "" : "z-20"} w-full`}
-                role="scrollbar"
-                ref={exportStartRef}
-              >
-                <div
-                  className="flex touch-none select-none items-center justify-center"
-                  onMouseDown={handleExportStart}
-                  onTouchStart={handleExportStart}
-                >
-                  <div
-                    className={`relative -mt-[6.5px] w-full ${
-                      isDragging ? "cursor-grabbing" : "cursor-grab"
-                    }`}
-                  >
-                    <div
-                      className={`absolute h-[4px] w-full bg-selected ${isDraggingExportStart && isMobile ? "top-[12px]" : "top-1/2 -translate-y-1/2 transform"}`}
-                    ></div>
-                    <div
-                      className={`mx-auto mt-4 bg-selected ${
-                        dense
-                          ? "w-12 md:w-20"
-                          : segmentDuration < 60
-                            ? "w-[80px]"
-                            : "w-20"
-                      } h-5 ${isDraggingExportStart && isMobile ? "fixed left-1/2 top-[4px] z-20 mt-0 h-[30px] w-auto -translate-x-1/2 transform rounded-full bg-selected/80 px-3" : "static rounded-bl-lg rounded-br-lg"} flex items-center justify-center`}
-                    >
-                      <div
-                        ref={exportStartTimeRef}
-                        className={`pointer-events-none text-white ${isDraggingExportStart && isMobile ? "mt-0" : ""} ${textSizeClasses("export_start")} z-10`}
-                      ></div>
-                    </div>
-                  </div>
-                </div>
-              </div>
-            </>
-          )}
-        </>
+                <LuZoomIn className={cn("size-5 text-primary-variant")} />
+              </Button>
+            </TooltipTrigger>
+            <TooltipPortal>
+              <TooltipContent>{t("zoomOut")}</TooltipContent>
+            </TooltipPortal>
+          </Tooltip>
+        </div>
       )}
-    </div>
+    </>
   );
 }
 
diff --git a/web/src/components/timeline/VirtualizedMotionSegments.tsx b/web/src/components/timeline/VirtualizedMotionSegments.tsx
index fc7a8224f..f868e158f 100644
--- a/web/src/components/timeline/VirtualizedMotionSegments.tsx
+++ b/web/src/components/timeline/VirtualizedMotionSegments.tsx
@@ -25,6 +25,7 @@ type VirtualizedMotionSegmentsProps = {
   motionOnly: boolean;
   getMotionSegmentValue: (timestamp: number) => number;
   getRecordingAvailability: (timestamp: number) => boolean | undefined;
+  alwaysShowMotionLine: boolean;
 };
 
 export interface VirtualizedMotionSegmentsRef {
@@ -57,6 +58,7 @@ export const VirtualizedMotionSegments = forwardRef<
       motionOnly,
       getMotionSegmentValue,
       getRecordingAvailability,
+      alwaysShowMotionLine,
     },
     ref,
   ) => {
@@ -158,6 +160,20 @@ export const VirtualizedMotionSegments = forwardRef<
 
         const hasRecording = getRecordingAvailability(segmentTime);
 
+        // Check if previous and next segments have recordings
+        // This is important because in motionOnly mode, the segments array is filtered
+        const prevSegmentTime = segmentTime + segmentDuration;
+        const nextSegmentTime = segmentTime - segmentDuration;
+
+        const prevHasRecording = getRecordingAvailability(prevSegmentTime);
+        const nextHasRecording = getRecordingAvailability(nextSegmentTime);
+
+        // Check if prev/next segments have no recording available
+        // Note: We only check hasRecording, not motion values, because segments can have
+        // recordings available but no motion (eg, start of a recording before motion begins)
+        const prevIsNoRecording = prevHasRecording === false;
+        const nextIsNoRecording = nextHasRecording === false;
+
         if ((!segmentMotion || overlappingReviewItems) && motionOnly) {
           return null; // Skip rendering this segment in motion only mode
         }
@@ -177,6 +193,8 @@ export const VirtualizedMotionSegments = forwardRef<
               firstHalfMotionValue={firstHalfMotionValue}
               secondHalfMotionValue={secondHalfMotionValue}
               hasRecording={hasRecording}
+              prevIsNoRecording={prevIsNoRecording}
+              nextIsNoRecording={nextIsNoRecording}
               segmentDuration={segmentDuration}
               segmentTime={segmentTime}
               timestampSpread={timestampSpread}
@@ -187,6 +205,7 @@ export const VirtualizedMotionSegments = forwardRef<
               setHandlebarTime={setHandlebarTime}
               scrollToSegment={scrollToSegment}
               dense={dense}
+              alwaysShowMotionLine={alwaysShowMotionLine}
             />
           </div>
         );
@@ -205,6 +224,7 @@ export const VirtualizedMotionSegments = forwardRef<
         dense,
         timestampSpread,
         visibleRange.start,
+        alwaysShowMotionLine,
       ],
     );
 
diff --git a/web/src/components/trigger/TriggerWizardDialog.tsx b/web/src/components/trigger/TriggerWizardDialog.tsx
new file mode 100644
index 000000000..f41537d6d
--- /dev/null
+++ b/web/src/components/trigger/TriggerWizardDialog.tsx
@@ -0,0 +1,256 @@
+import { useTranslation } from "react-i18next";
+import StepIndicator from "../indicators/StepIndicator";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogHeader,
+  DialogTitle,
+} from "../ui/dialog";
+import { useReducer, useEffect } from "react";
+import Step1NameAndType, {
+  Step1FormData,
+} from "@/components/trigger/wizard/Step1NameAndType";
+import Step2ConfigureData, {
+  Step2FormData,
+} from "@/components/trigger/wizard/Step2ConfigureData";
+import Step3ThresholdAndActions, {
+  Step3FormData,
+} from "@/components/trigger/wizard/Step3ThresholdAndActions";
+import { cn } from "@/lib/utils";
+import { isDesktop } from "react-device-detect";
+import { Trigger, TriggerAction, TriggerType } from "@/types/trigger";
+
+const TRIGGER_STEPS = [
+  "wizard.steps.nameAndType",
+  "wizard.steps.configureData",
+  "wizard.steps.thresholdAndActions",
+];
+
+type TriggerWizardDialogProps = {
+  open: boolean;
+  onClose: () => void;
+  selectedCamera: string;
+  trigger?: Trigger | null;
+  onCreate: (
+    enabled: boolean,
+    name: string,
+    type: TriggerType,
+    data: string,
+    threshold: number,
+    actions: TriggerAction[],
+    friendly_name: string,
+  ) => void;
+  onEdit: (trigger: Trigger) => void;
+  isLoading?: boolean;
+};
+
+type WizardState = {
+  currentStep: number;
+  step1Data?: Step1FormData;
+  step2Data?: Step2FormData;
+  step3Data?: Step3FormData;
+};
+
+type WizardAction =
+  | { type: "NEXT_STEP"; payload?: Partial<WizardState> }
+  | { type: "PREVIOUS_STEP" }
+  | { type: "SET_STEP_1"; payload: Step1FormData }
+  | { type: "SET_STEP_2"; payload: Step2FormData }
+  | { type: "SET_STEP_3"; payload: Step3FormData }
+  | { type: "RESET" };
+
+const initialState: WizardState = {
+  currentStep: 0,
+};
+
+function wizardReducer(state: WizardState, action: WizardAction): WizardState {
+  switch (action.type) {
+    case "SET_STEP_1":
+      return {
+        ...state,
+        step1Data: action.payload,
+        step2Data: undefined,
+        step3Data: undefined,
+        currentStep: 1,
+      };
+    case "SET_STEP_2":
+      return {
+        ...state,
+        step2Data: action.payload,
+        currentStep: 2,
+      };
+    case "SET_STEP_3":
+      return {
+        ...state,
+        step3Data: action.payload,
+        currentStep: 3,
+      };
+    case "NEXT_STEP":
+      return {
+        ...state,
+        ...action.payload,
+        currentStep: state.currentStep + 1,
+      };
+    case "PREVIOUS_STEP":
+      return {
+        ...state,
+        currentStep: Math.max(0, state.currentStep - 1),
+      };
+    case "RESET":
+      return initialState;
+    default:
+      return state;
+  }
+}
+
+export default function TriggerWizardDialog({
+  open,
+  onClose,
+  selectedCamera,
+  trigger,
+  onCreate,
+  onEdit,
+  isLoading,
+}: TriggerWizardDialogProps) {
+  const { t } = useTranslation(["views/settings"]);
+
+  const [wizardState, dispatch] = useReducer(wizardReducer, initialState);
+
+  useEffect(() => {
+    if (!open) {
+      dispatch({ type: "RESET" });
+    }
+  }, [open]);
+
+  // Reset wizard state when opening for a different trigger or when creating new
+  useEffect(() => {
+    if (open) {
+      dispatch({ type: "RESET" });
+    }
+  }, [open, trigger]);
+
+  const handleStep1Next = (data: Step1FormData) => {
+    dispatch({ type: "SET_STEP_1", payload: data });
+  };
+
+  const handleStep2Next = (data: Step2FormData) => {
+    dispatch({ type: "SET_STEP_2", payload: data });
+  };
+
+  const handleStep3Next = (data: Step3FormData) => {
+    // Combine all step data and call the appropriate callback
+    const combinedData = {
+      ...wizardState.step1Data!,
+      ...wizardState.step2Data!,
+      ...data,
+    };
+
+    if (trigger) {
+      onEdit(combinedData);
+    } else {
+      onCreate(
+        combinedData.enabled,
+        combinedData.name,
+        combinedData.type,
+        combinedData.data,
+        combinedData.threshold,
+        combinedData.actions,
+        combinedData.friendly_name || "",
+      );
+    }
+    // Remove handleClose() - let the parent component handle closing after save completes
+  };
+
+  const handleBack = () => {
+    dispatch({ type: "PREVIOUS_STEP" });
+  };
+
+  const handleClose = () => {
+    dispatch({ type: "RESET" });
+    onClose();
+  };
+
+  return (
+    <Dialog
+      open={open}
+      onOpenChange={(open) => {
+        if (!open && !isLoading) {
+          handleClose();
+        }
+      }}
+    >
+      <DialogContent
+        className={cn(
+          "",
+          isDesktop &&
+            wizardState.currentStep == 1 &&
+            wizardState.step1Data?.type == "thumbnail"
+            ? "max-h-[90%] max-w-[70%] overflow-y-auto xl:max-h-[80%]"
+            : "max-h-[90%] overflow-y-auto xl:max-h-[80%]",
+        )}
+        onInteractOutside={(e) => {
+          e.preventDefault();
+        }}
+      >
+        <StepIndicator
+          steps={TRIGGER_STEPS}
+          currentStep={wizardState.currentStep}
+          variant="dots"
+          className="mb-4 justify-start"
+        />
+        <DialogHeader>
+          <DialogTitle>{t("triggers.wizard.title")}</DialogTitle>
+          {wizardState.currentStep === 0 && (
+            <DialogDescription>
+              {t("triggers.wizard.step1.description")}
+            </DialogDescription>
+          )}
+          {wizardState.currentStep === 1 && (
+            <DialogDescription>
+              {t("triggers.wizard.step2.description")}
+            </DialogDescription>
+          )}
+          {wizardState.currentStep === 2 && (
+            <DialogDescription>
+              {t("triggers.wizard.step3.description")}
+            </DialogDescription>
+          )}
+        </DialogHeader>
+
+        <div className="pb-4">
+          {wizardState.currentStep === 0 && (
+            <Step1NameAndType
+              initialData={wizardState.step1Data}
+              trigger={trigger}
+              selectedCamera={selectedCamera}
+              onNext={handleStep1Next}
+              onCancel={handleClose}
+            />
+          )}
+          {wizardState.currentStep === 1 && wizardState.step1Data && (
+            <Step2ConfigureData
+              initialData={wizardState.step2Data}
+              triggerType={wizardState.step1Data.type}
+              selectedCamera={selectedCamera}
+              onNext={handleStep2Next}
+              onBack={handleBack}
+            />
+          )}
+          {wizardState.currentStep === 2 &&
+            wizardState.step1Data &&
+            wizardState.step2Data && (
+              <Step3ThresholdAndActions
+                initialData={wizardState.step3Data}
+                trigger={trigger}
+                camera={selectedCamera}
+                onNext={handleStep3Next}
+                onBack={handleBack}
+                isLoading={isLoading}
+              />
+            )}
+        </div>
+      </DialogContent>
+    </Dialog>
+  );
+}
diff --git a/web/src/components/trigger/wizard/Step1NameAndType.tsx b/web/src/components/trigger/wizard/Step1NameAndType.tsx
new file mode 100644
index 000000000..62e5ee962
--- /dev/null
+++ b/web/src/components/trigger/wizard/Step1NameAndType.tsx
@@ -0,0 +1,200 @@
+import { useEffect, useMemo } from "react";
+import { useTranslation } from "react-i18next";
+import { useForm } from "react-hook-form";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { z } from "zod";
+import useSWR from "swr";
+import NameAndIdFields from "@/components/input/NameAndIdFields";
+import { Form, FormDescription } from "@/components/ui/form";
+import {
+  FormControl,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+} from "@/components/ui/form";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "@/components/ui/select";
+import { Button } from "@/components/ui/button";
+import { FrigateConfig } from "@/types/frigateConfig";
+import { Trigger, TriggerType } from "@/types/trigger";
+
+export type Step1FormData = {
+  enabled: boolean;
+  name: string;
+  friendly_name: string;
+  type: TriggerType;
+};
+
+type Step1NameAndTypeProps = {
+  initialData?: Step1FormData;
+  trigger?: Trigger | null;
+  selectedCamera: string;
+  onNext: (data: Step1FormData) => void;
+  onCancel: () => void;
+};
+
+export default function Step1NameAndType({
+  initialData,
+  trigger,
+  selectedCamera,
+  onNext,
+  onCancel,
+}: Step1NameAndTypeProps) {
+  const { t } = useTranslation("views/settings");
+  const { data: config } = useSWR<FrigateConfig>("config");
+
+  const existingTriggerNames = useMemo(() => {
+    if (
+      !config ||
+      !selectedCamera ||
+      !config.cameras[selectedCamera]?.semantic_search?.triggers
+    ) {
+      return [];
+    }
+    return Object.keys(config.cameras[selectedCamera].semantic_search.triggers);
+  }, [config, selectedCamera]);
+
+  const existingTriggerFriendlyNames = useMemo(() => {
+    if (
+      !config ||
+      !selectedCamera ||
+      !config.cameras[selectedCamera]?.semantic_search?.triggers
+    ) {
+      return [];
+    }
+    return Object.values(
+      config.cameras[selectedCamera].semantic_search.triggers,
+    ).map((trigger) => trigger.friendly_name);
+  }, [config, selectedCamera]);
+
+  const formSchema = z.object({
+    enabled: z.boolean(),
+    name: z
+      .string()
+      .min(2, t("triggers.dialog.form.name.error.minLength"))
+      .regex(
+        /^[a-zA-Z0-9_-]+$/,
+        t("triggers.dialog.form.name.error.invalidCharacters"),
+      )
+      .refine(
+        (value) =>
+          !existingTriggerNames.includes(value) || value === trigger?.name,
+        t("triggers.dialog.form.name.error.alreadyExists"),
+      ),
+    friendly_name: z
+      .string()
+      .min(2, t("triggers.dialog.form.name.error.minLength"))
+      .refine(
+        (value) =>
+          !existingTriggerFriendlyNames.includes(value) ||
+          value === trigger?.friendly_name,
+        t("triggers.dialog.form.name.error.alreadyExists"),
+      ),
+    type: z.enum(["description", "thumbnail"]),
+  });
+
+  const form = useForm<z.infer<typeof formSchema>>({
+    resolver: zodResolver(formSchema),
+    mode: "onBlur",
+    defaultValues: {
+      enabled: true,
+      name: initialData?.name ?? trigger?.name ?? "",
+      friendly_name: initialData?.friendly_name ?? trigger?.friendly_name ?? "",
+      type: initialData?.type ?? trigger?.type ?? "description",
+    },
+  });
+
+  const onSubmit = (values: z.infer<typeof formSchema>) => {
+    onNext({
+      enabled: true,
+      name: values.name,
+      friendly_name: values.friendly_name || "",
+      type: values.type,
+    });
+  };
+
+  useEffect(() => {
+    if (initialData) {
+      form.reset(initialData);
+    } else if (trigger) {
+      form.reset({
+        enabled: trigger.enabled,
+        name: trigger.name,
+        friendly_name: trigger.friendly_name || "",
+        type: trigger.type,
+      });
+    }
+  }, [initialData, trigger, form]);
+
+  return (
+    <Form {...form}>
+      <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-5">
+        <NameAndIdFields
+          type="trigger"
+          control={form.control}
+          nameField="friendly_name"
+          idField="name"
+          nameLabel={t("triggers.dialog.form.name.title")}
+          nameDescription={t("triggers.dialog.form.name.description")}
+          placeholderName={t("triggers.dialog.form.name.placeholder")}
+        />
+
+        <FormField
+          control={form.control}
+          name="type"
+          render={({ field }) => (
+            <FormItem>
+              <FormLabel>{t("triggers.dialog.form.type.title")}</FormLabel>
+              <Select onValueChange={field.onChange} defaultValue={field.value}>
+                <FormControl>
+                  <SelectTrigger className="h-10">
+                    <SelectValue
+                      placeholder={t("triggers.dialog.form.type.placeholder")}
+                    />
+                  </SelectTrigger>
+                </FormControl>
+                <SelectContent>
+                  <SelectItem value="description">
+                    {t("triggers.type.description")}
+                  </SelectItem>
+                  <SelectItem value="thumbnail">
+                    {t("triggers.type.thumbnail")}
+                  </SelectItem>
+                </SelectContent>
+              </Select>
+              <FormDescription>
+                {t("triggers.dialog.form.type.description")}
+              </FormDescription>
+              <FormMessage />
+            </FormItem>
+          )}
+        />
+
+        <div className="flex gap-2 pt-4">
+          <Button
+            type="button"
+            variant="outline"
+            onClick={onCancel}
+            className="flex-1"
+          >
+            {t("button.cancel", { ns: "common" })}
+          </Button>
+          <Button
+            type="submit"
+            variant="select"
+            disabled={!form.formState.isValid}
+            className="flex-1"
+          >
+            {t("button.next", { ns: "common" })}
+          </Button>
+        </div>
+      </form>
+    </Form>
+  );
+}
diff --git a/web/src/components/trigger/wizard/Step2ConfigureData.tsx b/web/src/components/trigger/wizard/Step2ConfigureData.tsx
new file mode 100644
index 000000000..7cbb74cad
--- /dev/null
+++ b/web/src/components/trigger/wizard/Step2ConfigureData.tsx
@@ -0,0 +1,133 @@
+import { useEffect } from "react";
+import { useTranslation } from "react-i18next";
+import { useForm } from "react-hook-form";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { z } from "zod";
+import {
+  Form,
+  FormControl,
+  FormDescription,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+} from "@/components/ui/form";
+import { Button } from "@/components/ui/button";
+import { Textarea } from "@/components/ui/textarea";
+import ImagePicker from "@/components/overlay/ImagePicker";
+import { TriggerType } from "@/types/trigger";
+
+export type Step2FormData = {
+  data: string;
+};
+
+type Step2ConfigureDataProps = {
+  initialData?: Step2FormData;
+  triggerType: TriggerType;
+  selectedCamera: string;
+  onNext: (data: Step2FormData) => void;
+  onBack: () => void;
+};
+
+export default function Step2ConfigureData({
+  initialData,
+  triggerType,
+  selectedCamera,
+  onNext,
+  onBack,
+}: Step2ConfigureDataProps) {
+  const { t } = useTranslation("views/settings");
+
+  const formSchema = z.object({
+    data: z.string().min(1, t("triggers.dialog.form.content.error.required")),
+  });
+
+  const form = useForm<z.infer<typeof formSchema>>({
+    resolver: zodResolver(formSchema),
+    mode: "onChange",
+    defaultValues: {
+      data: initialData?.data ?? "",
+    },
+  });
+
+  const onSubmit = (values: z.infer<typeof formSchema>) => {
+    onNext({
+      data: values.data,
+    });
+  };
+
+  useEffect(() => {
+    if (initialData) {
+      form.reset(initialData);
+    }
+  }, [initialData, form]);
+
+  return (
+    <Form {...form}>
+      <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-5">
+        <FormField
+          control={form.control}
+          name="data"
+          render={({ field }) => (
+            <FormItem>
+              {triggerType === "thumbnail" ? (
+                <>
+                  <FormLabel className="font-normal">
+                    {t("triggers.dialog.form.content.imagePlaceholder")}
+                  </FormLabel>
+                  <FormControl>
+                    <ImagePicker
+                      selectedImageId={field.value}
+                      setSelectedImageId={field.onChange}
+                      camera={selectedCamera}
+                      direct
+                      className="max-h-[50dvh] overflow-y-auto rounded-lg border p-4"
+                    />
+                  </FormControl>
+                  <FormDescription>
+                    {t("triggers.dialog.form.content.imageDesc")}
+                  </FormDescription>
+                </>
+              ) : (
+                <>
+                  <FormControl>
+                    <Textarea
+                      placeholder={t(
+                        "triggers.dialog.form.content.textPlaceholder",
+                      )}
+                      {...field}
+                    />
+                  </FormControl>
+                  <FormDescription>
+                    {t("triggers.dialog.form.content.textDesc")}
+                  </FormDescription>
+                </>
+              )}
+
+              <FormMessage />
+            </FormItem>
+          )}
+        />
+
+        <div className="flex gap-2 pt-4">
+          <Button
+            type="button"
+            variant="outline"
+            onClick={onBack}
+            className="flex-1"
+          >
+            {t("button.back", { ns: "common" })}
+          </Button>
+          <Button
+            type="submit"
+            variant="select"
+            disabled={!form.formState.isValid}
+            className="flex-1"
+          >
+            {t("button.next", { ns: "common" })}
+          </Button>
+        </div>
+      </form>
+    </Form>
+  );
+}
diff --git a/web/src/components/trigger/wizard/Step3ThresholdAndActions.tsx b/web/src/components/trigger/wizard/Step3ThresholdAndActions.tsx
new file mode 100644
index 000000000..2b560ded3
--- /dev/null
+++ b/web/src/components/trigger/wizard/Step3ThresholdAndActions.tsx
@@ -0,0 +1,209 @@
+import { useEffect, useCallback, useMemo } from "react";
+import { useTranslation } from "react-i18next";
+import { useForm } from "react-hook-form";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { z } from "zod";
+import {
+  Form,
+  FormControl,
+  FormDescription,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+} from "@/components/ui/form";
+import { Input } from "@/components/ui/input";
+import { Checkbox } from "@/components/ui/checkbox";
+import { Button } from "@/components/ui/button";
+import { Trigger, TriggerAction } from "@/types/trigger";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
+import useSWR from "swr";
+import { FrigateConfig } from "@/types/frigateConfig";
+
+export type Step3FormData = {
+  threshold: number;
+  actions: TriggerAction[];
+};
+
+type Step3ThresholdAndActionsProps = {
+  initialData?: Step3FormData;
+  trigger?: Trigger | null;
+  camera: string;
+  onNext: (data: Step3FormData) => void;
+  onBack: () => void;
+  isLoading?: boolean;
+};
+
+export default function Step3ThresholdAndActions({
+  initialData,
+  trigger,
+  camera,
+  onNext,
+  onBack,
+  isLoading = false,
+}: Step3ThresholdAndActionsProps) {
+  const { t } = useTranslation("views/settings");
+  const { data: config } = useSWR<FrigateConfig>("config");
+
+  const availableActions = useMemo(() => {
+    if (!config) return [];
+
+    if (config.cameras[camera].notifications.enabled_in_config) {
+      return ["notification", "sub_label", "attribute"];
+    }
+    return ["sub_label", "attribute"];
+  }, [config, camera]);
+
+  const formSchema = z.object({
+    threshold: z
+      .number()
+      .min(0, t("triggers.dialog.form.threshold.error.min"))
+      .max(1, t("triggers.dialog.form.threshold.error.max")),
+    actions: z.array(z.enum(["notification", "sub_label", "attribute"])),
+  });
+
+  const form = useForm<z.infer<typeof formSchema>>({
+    resolver: zodResolver(formSchema),
+    mode: "onChange",
+    defaultValues: {
+      threshold: initialData?.threshold ?? trigger?.threshold ?? 0.5,
+      actions:
+        initialData?.actions ?? (trigger?.actions as TriggerAction[]) ?? [],
+    },
+  });
+
+  const onSubmit = useCallback(
+    (values: z.infer<typeof formSchema>) => {
+      onNext({
+        threshold: values.threshold,
+        actions: values.actions,
+      });
+    },
+    [onNext],
+  );
+
+  const handleSave = useCallback(() => {
+    const formData = form.getValues();
+    // Basic validation
+    if (formData.threshold < 0 || formData.threshold > 1) {
+      return;
+    }
+    onNext(formData);
+  }, [form, onNext]);
+
+  useEffect(() => {
+    if (initialData) {
+      form.reset(initialData);
+    } else if (trigger) {
+      form.reset({
+        threshold: trigger.threshold,
+        actions: trigger.actions,
+      });
+    }
+  }, [initialData, trigger, form]);
+
+  return (
+    <Form {...form}>
+      <form onSubmit={form.handleSubmit(onSubmit)} className="space-y-5">
+        <FormField
+          control={form.control}
+          name="threshold"
+          render={({ field }) => (
+            <FormItem>
+              <FormLabel>{t("triggers.dialog.form.threshold.title")}</FormLabel>
+              <FormControl>
+                <Input
+                  type="number"
+                  step="0.01"
+                  min="0"
+                  max="1"
+                  placeholder="0.50"
+                  className="h-10"
+                  {...field}
+                  onChange={(e) => {
+                    const value = parseFloat(e.target.value);
+                    field.onChange(isNaN(value) ? 0 : value);
+                  }}
+                />
+              </FormControl>
+              <FormDescription>
+                {t("triggers.dialog.form.threshold.desc")}
+              </FormDescription>
+              <FormMessage />
+            </FormItem>
+          )}
+        />
+
+        <FormField
+          control={form.control}
+          name="actions"
+          render={() => (
+            <FormItem>
+              <FormLabel>{t("triggers.dialog.form.actions.title")}</FormLabel>
+              <div className="space-y-2">
+                {availableActions.map((action) => (
+                  <label
+                    key={action}
+                    className="flex cursor-pointer items-center space-x-2"
+                  >
+                    <FormControl>
+                      <Checkbox
+                        checked={form
+                          .watch("actions")
+                          .includes(action as TriggerAction)}
+                        onCheckedChange={(checked) => {
+                          const currentActions = form.getValues("actions");
+                          if (checked) {
+                            form.setValue("actions", [
+                              ...currentActions,
+                              action as TriggerAction,
+                            ]);
+                          } else {
+                            form.setValue(
+                              "actions",
+                              currentActions.filter((a) => a !== action),
+                            );
+                          }
+                        }}
+                      />
+                    </FormControl>
+                    <span className="text-sm font-normal">
+                      {t(`triggers.actions.${action}`)}
+                    </span>
+                  </label>
+                ))}
+              </div>
+              <FormDescription>
+                {t("triggers.dialog.form.actions.desc")}
+              </FormDescription>
+              <FormMessage />
+            </FormItem>
+          )}
+        />
+
+        <div className="flex gap-2 pt-4">
+          <Button
+            type="button"
+            variant="outline"
+            onClick={onBack}
+            className="flex-1"
+          >
+            {t("button.back", { ns: "common" })}
+          </Button>
+          <Button
+            type="button"
+            onClick={handleSave}
+            disabled={isLoading}
+            className="flex-1"
+            variant="select"
+          >
+            {isLoading && <ActivityIndicator className="mr-2 size-5" />}
+            {isLoading
+              ? t("button.saving", { ns: "common" })
+              : t("button.save", { ns: "common" })}
+          </Button>
+        </div>
+      </form>
+    </Form>
+  );
+}
diff --git a/web/src/components/ui/calendar-range.tsx b/web/src/components/ui/calendar-range.tsx
index f439cb082..09641926a 100644
--- a/web/src/components/ui/calendar-range.tsx
+++ b/web/src/components/ui/calendar-range.tsx
@@ -35,6 +35,8 @@ export interface DateRangePickerProps {
   showCompare?: boolean;
   /** timezone */
   timezone?: string;
+  /** First day of the week: 0 = Sunday, 1 = Monday */
+  weekStartsOn?: number;
 }
 
 const getDateAdjustedForTimezone = (
@@ -91,6 +93,7 @@ export function DateRangePicker({
   onUpdate,
   onReset,
   showCompare = true,
+  weekStartsOn = 0,
 }: DateRangePickerProps) {
   const [isOpen, setIsOpen] = useState(false);
 
@@ -150,7 +153,9 @@ export function DateRangePicker({
     if (!preset) throw new Error(`Unknown date range preset: ${presetName}`);
     const from = new TZDate(new Date(), timezone);
     const to = new TZDate(new Date(), timezone);
-    const first = from.getDate() - from.getDay();
+    const dayOfWeek = from.getDay();
+    const daysFromWeekStart = (dayOfWeek - weekStartsOn + 7) % 7;
+    const first = from.getDate() - daysFromWeekStart;
 
     switch (preset.name) {
       case "today":
@@ -184,8 +189,8 @@ export function DateRangePicker({
         to.setHours(23, 59, 59, 999);
         break;
       case "lastWeek":
-        from.setDate(from.getDate() - 7 - from.getDay());
-        to.setDate(to.getDate() - to.getDay() - 1);
+        from.setDate(first - 7);
+        to.setDate(first - 1);
         from.setHours(0, 0, 0, 0);
         to.setHours(23, 59, 59, 999);
         break;
diff --git a/web/src/components/ui/carousel.tsx b/web/src/components/ui/carousel.tsx
index ea38705ee..98b7d6cbd 100644
--- a/web/src/components/ui/carousel.tsx
+++ b/web/src/components/ui/carousel.tsx
@@ -212,13 +212,13 @@ const CarouselPrevious = React.forwardRef<
           : "-top-12 left-1/2 -translate-x-1/2 rotate-90",
         className,
       )}
-      aria-label={t("objectLifecycle.carousel.previous")}
+      aria-label={t("trackingDetails.carousel.previous")}
       disabled={!canScrollPrev}
       onClick={scrollPrev}
       {...props}
     >
       <ArrowLeft className="h-4 w-4" />
-      <span className="sr-only">{t("objectLifecycle.carousel.previous")}</span>
+      <span className="sr-only">{t("trackingDetails.carousel.previous")}</span>
     </Button>
   );
 });
@@ -243,13 +243,13 @@ const CarouselNext = React.forwardRef<
           : "-bottom-12 left-1/2 -translate-x-1/2 rotate-90",
         className,
       )}
-      aria-label={t("objectLifecycle.carousel.next")}
+      aria-label={t("trackingDetails.carousel.next")}
       disabled={!canScrollNext}
       onClick={scrollNext}
       {...props}
     >
       <ArrowRight className="h-4 w-4" />
-      <span className="sr-only">{t("objectLifecycle.carousel.next")}</span>
+      <span className="sr-only">{t("trackingDetails.carousel.next")}</span>
     </Button>
   );
 });
diff --git a/web/src/components/ui/collapsible.tsx b/web/src/components/ui/collapsible.tsx
new file mode 100644
index 000000000..a23e7a281
--- /dev/null
+++ b/web/src/components/ui/collapsible.tsx
@@ -0,0 +1,9 @@
+import * as CollapsiblePrimitive from "@radix-ui/react-collapsible"
+
+const Collapsible = CollapsiblePrimitive.Root
+
+const CollapsibleTrigger = CollapsiblePrimitive.CollapsibleTrigger
+
+const CollapsibleContent = CollapsiblePrimitive.CollapsibleContent
+
+export { Collapsible, CollapsibleTrigger, CollapsibleContent }
diff --git a/web/src/components/ui/dialog.tsx b/web/src/components/ui/dialog.tsx
index 761d815be..f65adbff0 100644
--- a/web/src/components/ui/dialog.tsx
+++ b/web/src/components/ui/dialog.tsx
@@ -2,6 +2,7 @@ import * as React from "react";
 import * as DialogPrimitive from "@radix-ui/react-dialog";
 import { X } from "lucide-react";
 import { cn } from "@/lib/utils";
+import { useHistoryBack } from "@/hooks/use-history-back";
 
 // Enhanced Dialog with History Support
 interface HistoryDialogProps extends DialogPrimitive.DialogProps {
@@ -15,51 +16,28 @@ const Dialog = ({
   ...props
 }: HistoryDialogProps) => {
   const [internalOpen, setInternalOpen] = React.useState(open || false);
-  const historyStateRef = React.useRef<null | {
-    listener: (e: PopStateEvent) => void;
-  }>(null);
 
+  // Sync internal state with controlled open prop
   React.useEffect(() => {
     if (open !== undefined) {
       setInternalOpen(open);
     }
   }, [open]);
 
-  React.useEffect(() => {
-    if (enableHistoryBack) {
-      if (internalOpen) {
-        window.history.pushState({ dialogOpen: true }, "");
+  const handleOpenChange = React.useCallback(
+    (newOpen: boolean) => {
+      setInternalOpen(newOpen);
+      onOpenChange?.(newOpen);
+    },
+    [onOpenChange],
+  );
 
-        const listener = () => {
-          setInternalOpen(false);
-          if (onOpenChange) onOpenChange(false);
-        };
-
-        historyStateRef.current = { listener };
-        window.addEventListener("popstate", listener);
-
-        return () => {
-          if (internalOpen) {
-            window.removeEventListener("popstate", listener);
-            historyStateRef.current = null;
-          }
-        };
-      } else if (historyStateRef.current) {
-        window.removeEventListener(
-          "popstate",
-          historyStateRef.current.listener,
-        );
-        historyStateRef.current = null;
-      }
-    }
-  }, [enableHistoryBack, internalOpen, onOpenChange]);
-
-  const handleOpenChange = (open: boolean) => {
-    setInternalOpen(open);
-    if (onOpenChange) {
-      onOpenChange(open);
-    }
-  };
+  // Handle browser back button to close dialog
+  useHistoryBack({
+    enabled: enableHistoryBack,
+    open: internalOpen,
+    onClose: () => handleOpenChange(false),
+  });
 
   return (
     <DialogPrimitive.Root
@@ -107,7 +85,7 @@ const DialogContent = React.forwardRef<
     >
       {children}
       <DialogPrimitive.Close className="absolute right-4 top-4 rounded-sm opacity-70 ring-offset-background transition-opacity data-[state=open]:bg-accent data-[state=open]:text-muted-foreground hover:opacity-100 focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:pointer-events-none">
-        <X className="h-4 w-4" />
+        <X className="h-4 w-4 text-secondary-foreground" />
         <span className="sr-only">Close</span>
       </DialogPrimitive.Close>
     </DialogPrimitive.Content>
diff --git a/web/src/components/ui/form.tsx b/web/src/components/ui/form.tsx
index 4603f8b3d..dc6102ea2 100644
--- a/web/src/components/ui/form.tsx
+++ b/web/src/components/ui/form.tsx
@@ -1,6 +1,6 @@
-import * as React from "react"
-import * as LabelPrimitive from "@radix-ui/react-label"
-import { Slot } from "@radix-ui/react-slot"
+import * as React from "react";
+import * as LabelPrimitive from "@radix-ui/react-label";
+import { Slot } from "@radix-ui/react-slot";
 import {
   Controller,
   ControllerProps,
@@ -8,27 +8,27 @@ import {
   FieldValues,
   FormProvider,
   useFormContext,
-} from "react-hook-form"
+} from "react-hook-form";
 
-import { cn } from "@/lib/utils"
-import { Label } from "@/components/ui/label"
+import { cn } from "@/lib/utils";
+import { Label } from "@/components/ui/label";
 
-const Form = FormProvider
+const Form = FormProvider;
 
 type FormFieldContextValue<
   TFieldValues extends FieldValues = FieldValues,
-  TName extends FieldPath<TFieldValues> = FieldPath<TFieldValues>
+  TName extends FieldPath<TFieldValues> = FieldPath<TFieldValues>,
 > = {
-  name: TName
-}
+  name: TName;
+};
 
 const FormFieldContext = React.createContext<FormFieldContextValue>(
-  {} as FormFieldContextValue
-)
+  {} as FormFieldContextValue,
+);
 
 const FormField = <
   TFieldValues extends FieldValues = FieldValues,
-  TName extends FieldPath<TFieldValues> = FieldPath<TFieldValues>
+  TName extends FieldPath<TFieldValues> = FieldPath<TFieldValues>,
 >({
   ...props
 }: ControllerProps<TFieldValues, TName>) => {
@@ -36,21 +36,21 @@ const FormField = <
     <FormFieldContext.Provider value={{ name: props.name }}>
       <Controller {...props} />
     </FormFieldContext.Provider>
-  )
-}
+  );
+};
 
 const useFormField = () => {
-  const fieldContext = React.useContext(FormFieldContext)
-  const itemContext = React.useContext(FormItemContext)
-  const { getFieldState, formState } = useFormContext()
+  const fieldContext = React.useContext(FormFieldContext);
+  const itemContext = React.useContext(FormItemContext);
+  const { getFieldState, formState } = useFormContext();
 
-  const fieldState = getFieldState(fieldContext.name, formState)
+  const fieldState = getFieldState(fieldContext.name, formState);
 
   if (!fieldContext) {
-    throw new Error("useFormField should be used within <FormField>")
+    throw new Error("useFormField should be used within <FormField>");
   }
 
-  const { id } = itemContext
+  const { id } = itemContext;
 
   return {
     id,
@@ -59,36 +59,36 @@ const useFormField = () => {
     formDescriptionId: `${id}-form-item-description`,
     formMessageId: `${id}-form-item-message`,
     ...fieldState,
-  }
-}
+  };
+};
 
 type FormItemContextValue = {
-  id: string
-}
+  id: string;
+};
 
 const FormItemContext = React.createContext<FormItemContextValue>(
-  {} as FormItemContextValue
-)
+  {} as FormItemContextValue,
+);
 
 const FormItem = React.forwardRef<
   HTMLDivElement,
   React.HTMLAttributes<HTMLDivElement>
 >(({ className, ...props }, ref) => {
-  const id = React.useId()
+  const id = React.useId();
 
   return (
     <FormItemContext.Provider value={{ id }}>
-      <div ref={ref} className={cn("space-y-2", className)} {...props} />
+      <div ref={ref} className={cn("space-y-1", className)} {...props} />
     </FormItemContext.Provider>
-  )
-})
-FormItem.displayName = "FormItem"
+  );
+});
+FormItem.displayName = "FormItem";
 
 const FormLabel = React.forwardRef<
   React.ElementRef<typeof LabelPrimitive.Root>,
   React.ComponentPropsWithoutRef<typeof LabelPrimitive.Root>
 >(({ className, ...props }, ref) => {
-  const { error, formItemId } = useFormField()
+  const { error, formItemId } = useFormField();
 
   return (
     <Label
@@ -97,15 +97,16 @@ const FormLabel = React.forwardRef<
       htmlFor={formItemId}
       {...props}
     />
-  )
-})
-FormLabel.displayName = "FormLabel"
+  );
+});
+FormLabel.displayName = "FormLabel";
 
 const FormControl = React.forwardRef<
   React.ElementRef<typeof Slot>,
   React.ComponentPropsWithoutRef<typeof Slot>
 >(({ ...props }, ref) => {
-  const { error, formItemId, formDescriptionId, formMessageId } = useFormField()
+  const { error, formItemId, formDescriptionId, formMessageId } =
+    useFormField();
 
   return (
     <Slot
@@ -119,15 +120,15 @@ const FormControl = React.forwardRef<
       aria-invalid={!!error}
       {...props}
     />
-  )
-})
-FormControl.displayName = "FormControl"
+  );
+});
+FormControl.displayName = "FormControl";
 
 const FormDescription = React.forwardRef<
   HTMLParagraphElement,
   React.HTMLAttributes<HTMLParagraphElement>
 >(({ className, ...props }, ref) => {
-  const { formDescriptionId } = useFormField()
+  const { formDescriptionId } = useFormField();
 
   return (
     <p
@@ -136,19 +137,19 @@ const FormDescription = React.forwardRef<
       className={cn("text-sm text-muted-foreground", className)}
       {...props}
     />
-  )
-})
-FormDescription.displayName = "FormDescription"
+  );
+});
+FormDescription.displayName = "FormDescription";
 
 const FormMessage = React.forwardRef<
   HTMLParagraphElement,
   React.HTMLAttributes<HTMLParagraphElement>
 >(({ className, children, ...props }, ref) => {
-  const { error, formMessageId } = useFormField()
-  const body = error ? String(error?.message) : children
+  const { error, formMessageId } = useFormField();
+  const body = error ? String(error?.message) : children;
 
   if (!body) {
-    return null
+    return null;
   }
 
   return (
@@ -160,9 +161,9 @@ const FormMessage = React.forwardRef<
     >
       {body}
     </p>
-  )
-})
-FormMessage.displayName = "FormMessage"
+  );
+});
+FormMessage.displayName = "FormMessage";
 
 export {
   useFormField,
@@ -173,4 +174,4 @@ export {
   FormDescription,
   FormMessage,
   FormField,
-}
+};
diff --git a/web/src/components/ui/input.tsx b/web/src/components/ui/input.tsx
index 677d05fd6..c0c40df35 100644
--- a/web/src/components/ui/input.tsx
+++ b/web/src/components/ui/input.tsx
@@ -1,6 +1,6 @@
-import * as React from "react"
+import * as React from "react";
 
-import { cn } from "@/lib/utils"
+import { cn } from "@/lib/utils";
 
 export interface InputProps
   extends React.InputHTMLAttributes<HTMLInputElement> {}
@@ -11,15 +11,15 @@ const Input = React.forwardRef<HTMLInputElement, InputProps>(
       <input
         type={type}
         className={cn(
-          "flex h-10 w-full rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background file:border-0 file:bg-transparent file:text-sm file:font-medium placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50",
-          className
+          "flex h-10 w-full rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background file:border-0 file:bg-transparent file:text-sm file:font-medium placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50 dark:bg-background_alt",
+          className,
         )}
         ref={ref}
         {...props}
       />
-    )
-  }
-)
-Input.displayName = "Input"
+    );
+  },
+);
+Input.displayName = "Input";
 
-export { Input }
+export { Input };
diff --git a/web/src/components/ui/popover.tsx b/web/src/components/ui/popover.tsx
index bba83f977..017d1bdc7 100644
--- a/web/src/components/ui/popover.tsx
+++ b/web/src/components/ui/popover.tsx
@@ -11,13 +11,21 @@ const PopoverContent = React.forwardRef<
   React.ElementRef<typeof PopoverPrimitive.Content>,
   React.ComponentPropsWithoutRef<typeof PopoverPrimitive.Content> & {
     container?: HTMLElement | null;
+    disablePortal?: boolean;
   }
 >(
   (
-    { className, container, align = "center", sideOffset = 4, ...props },
+    {
+      className,
+      container,
+      disablePortal = false,
+      align = "center",
+      sideOffset = 4,
+      ...props
+    },
     ref,
-  ) => (
-    <PopoverPrimitive.Portal container={container}>
+  ) => {
+    const content = (
       <PopoverPrimitive.Content
         ref={ref}
         align={align}
@@ -28,8 +36,18 @@ const PopoverContent = React.forwardRef<
         )}
         {...props}
       />
-    </PopoverPrimitive.Portal>
-  ),
+    );
+
+    if (disablePortal) {
+      return content;
+    }
+
+    return (
+      <PopoverPrimitive.Portal container={container}>
+        {content}
+      </PopoverPrimitive.Portal>
+    );
+  },
 );
 PopoverContent.displayName = PopoverPrimitive.Content.displayName;
 
diff --git a/web/src/components/ui/select.tsx b/web/src/components/ui/select.tsx
index fe56d4d3a..8eabc4651 100644
--- a/web/src/components/ui/select.tsx
+++ b/web/src/components/ui/select.tsx
@@ -1,14 +1,14 @@
-import * as React from "react"
-import * as SelectPrimitive from "@radix-ui/react-select"
-import { Check, ChevronDown, ChevronUp } from "lucide-react"
+import * as React from "react";
+import * as SelectPrimitive from "@radix-ui/react-select";
+import { Check, ChevronDown, ChevronUp } from "lucide-react";
 
-import { cn } from "@/lib/utils"
+import { cn } from "@/lib/utils";
 
-const Select = SelectPrimitive.Root
+const Select = SelectPrimitive.Root;
 
-const SelectGroup = SelectPrimitive.Group
+const SelectGroup = SelectPrimitive.Group;
 
-const SelectValue = SelectPrimitive.Value
+const SelectValue = SelectPrimitive.Value;
 
 const SelectTrigger = React.forwardRef<
   React.ElementRef<typeof SelectPrimitive.Trigger>,
@@ -17,8 +17,8 @@ const SelectTrigger = React.forwardRef<
   <SelectPrimitive.Trigger
     ref={ref}
     className={cn(
-      "flex h-10 w-full items-center justify-between rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background placeholder:text-muted-foreground focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50 [&>span]:line-clamp-1",
-      className
+      "flex h-10 w-full items-center justify-between rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background placeholder:text-muted-foreground focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50 dark:bg-background_alt [&>span]:line-clamp-1",
+      className,
     )}
     {...props}
   >
@@ -27,8 +27,8 @@ const SelectTrigger = React.forwardRef<
       <ChevronDown className="h-4 w-4 opacity-50" />
     </SelectPrimitive.Icon>
   </SelectPrimitive.Trigger>
-))
-SelectTrigger.displayName = SelectPrimitive.Trigger.displayName
+));
+SelectTrigger.displayName = SelectPrimitive.Trigger.displayName;
 
 const SelectScrollUpButton = React.forwardRef<
   React.ElementRef<typeof SelectPrimitive.ScrollUpButton>,
@@ -38,14 +38,14 @@ const SelectScrollUpButton = React.forwardRef<
     ref={ref}
     className={cn(
       "flex cursor-default items-center justify-center py-1",
-      className
+      className,
     )}
     {...props}
   >
     <ChevronUp className="h-4 w-4" />
   </SelectPrimitive.ScrollUpButton>
-))
-SelectScrollUpButton.displayName = SelectPrimitive.ScrollUpButton.displayName
+));
+SelectScrollUpButton.displayName = SelectPrimitive.ScrollUpButton.displayName;
 
 const SelectScrollDownButton = React.forwardRef<
   React.ElementRef<typeof SelectPrimitive.ScrollDownButton>,
@@ -55,15 +55,15 @@ const SelectScrollDownButton = React.forwardRef<
     ref={ref}
     className={cn(
       "flex cursor-default items-center justify-center py-1",
-      className
+      className,
     )}
     {...props}
   >
     <ChevronDown className="h-4 w-4" />
   </SelectPrimitive.ScrollDownButton>
-))
+));
 SelectScrollDownButton.displayName =
-  SelectPrimitive.ScrollDownButton.displayName
+  SelectPrimitive.ScrollDownButton.displayName;
 
 const SelectContent = React.forwardRef<
   React.ElementRef<typeof SelectPrimitive.Content>,
@@ -76,7 +76,7 @@ const SelectContent = React.forwardRef<
         "relative z-50 max-h-96 min-w-[8rem] overflow-hidden rounded-md border bg-popover text-popover-foreground shadow-md data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2",
         position === "popper" &&
           "data-[side=bottom]:translate-y-1 data-[side=left]:-translate-x-1 data-[side=right]:translate-x-1 data-[side=top]:-translate-y-1",
-        className
+        className,
       )}
       position={position}
       {...props}
@@ -86,7 +86,7 @@ const SelectContent = React.forwardRef<
         className={cn(
           "p-1",
           position === "popper" &&
-            "h-[var(--radix-select-trigger-height)] w-full min-w-[var(--radix-select-trigger-width)]"
+            "h-[var(--radix-select-trigger-height)] w-full min-w-[var(--radix-select-trigger-width)]",
         )}
       >
         {children}
@@ -94,8 +94,8 @@ const SelectContent = React.forwardRef<
       <SelectScrollDownButton />
     </SelectPrimitive.Content>
   </SelectPrimitive.Portal>
-))
-SelectContent.displayName = SelectPrimitive.Content.displayName
+));
+SelectContent.displayName = SelectPrimitive.Content.displayName;
 
 const SelectLabel = React.forwardRef<
   React.ElementRef<typeof SelectPrimitive.Label>,
@@ -106,8 +106,8 @@ const SelectLabel = React.forwardRef<
     className={cn("py-1.5 pl-8 pr-2 text-sm font-semibold", className)}
     {...props}
   />
-))
-SelectLabel.displayName = SelectPrimitive.Label.displayName
+));
+SelectLabel.displayName = SelectPrimitive.Label.displayName;
 
 const SelectItem = React.forwardRef<
   React.ElementRef<typeof SelectPrimitive.Item>,
@@ -116,8 +116,8 @@ const SelectItem = React.forwardRef<
   <SelectPrimitive.Item
     ref={ref}
     className={cn(
-      "relative flex w-full cursor-default select-none items-center rounded-sm py-1.5 pl-8 pr-2 text-sm outline-none focus:bg-accent focus:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50",
-      className
+      "relative flex w-full cursor-default select-none items-center rounded-sm py-1.5 pl-8 pr-2 text-sm outline-none data-[disabled]:pointer-events-none data-[disabled]:opacity-50 focus:bg-accent focus:text-accent-foreground",
+      className,
     )}
     {...props}
   >
@@ -129,8 +129,8 @@ const SelectItem = React.forwardRef<
 
     <SelectPrimitive.ItemText>{children}</SelectPrimitive.ItemText>
   </SelectPrimitive.Item>
-))
-SelectItem.displayName = SelectPrimitive.Item.displayName
+));
+SelectItem.displayName = SelectPrimitive.Item.displayName;
 
 const SelectSeparator = React.forwardRef<
   React.ElementRef<typeof SelectPrimitive.Separator>,
@@ -141,8 +141,8 @@ const SelectSeparator = React.forwardRef<
     className={cn("-mx-1 my-1 h-px bg-muted", className)}
     {...props}
   />
-))
-SelectSeparator.displayName = SelectPrimitive.Separator.displayName
+));
+SelectSeparator.displayName = SelectPrimitive.Separator.displayName;
 
 export {
   Select,
@@ -155,4 +155,4 @@ export {
   SelectSeparator,
   SelectScrollUpButton,
   SelectScrollDownButton,
-}
+};
diff --git a/web/src/components/ui/sheet.tsx b/web/src/components/ui/sheet.tsx
index 7ef05478f..512936cf1 100644
--- a/web/src/components/ui/sheet.tsx
+++ b/web/src/components/ui/sheet.tsx
@@ -4,6 +4,7 @@ import { cva, type VariantProps } from "class-variance-authority";
 import { X } from "lucide-react";
 
 import { cn } from "@/lib/utils";
+import { useHistoryBack } from "@/hooks/use-history-back";
 
 // Enhanced Sheet with History Support
 interface HistorySheetProps extends SheetPrimitive.DialogProps {
@@ -17,51 +18,28 @@ const Sheet = ({
   ...props
 }: HistorySheetProps) => {
   const [internalOpen, setInternalOpen] = React.useState(open || false);
-  const historyStateRef = React.useRef<null | {
-    listener: (e: PopStateEvent) => void;
-  }>(null);
 
+  // Sync internal state with controlled open prop
   React.useEffect(() => {
     if (open !== undefined) {
       setInternalOpen(open);
     }
   }, [open]);
 
-  React.useEffect(() => {
-    if (enableHistoryBack) {
-      if (internalOpen) {
-        window.history.pushState({ sheetOpen: true }, "");
+  const handleOpenChange = React.useCallback(
+    (newOpen: boolean) => {
+      setInternalOpen(newOpen);
+      onOpenChange?.(newOpen);
+    },
+    [onOpenChange],
+  );
 
-        const listener = () => {
-          setInternalOpen(false);
-          if (onOpenChange) onOpenChange(false);
-        };
-
-        historyStateRef.current = { listener };
-        window.addEventListener("popstate", listener);
-
-        return () => {
-          if (internalOpen) {
-            window.removeEventListener("popstate", listener);
-            historyStateRef.current = null;
-          }
-        };
-      } else if (historyStateRef.current) {
-        window.removeEventListener(
-          "popstate",
-          historyStateRef.current.listener,
-        );
-        historyStateRef.current = null;
-      }
-    }
-  }, [enableHistoryBack, internalOpen, onOpenChange]);
-
-  const handleOpenChange = (open: boolean) => {
-    setInternalOpen(open);
-    if (onOpenChange) {
-      onOpenChange(open);
-    }
-  };
+  // Handle browser back button to close sheet
+  useHistoryBack({
+    enabled: enableHistoryBack,
+    open: internalOpen,
+    onClose: () => handleOpenChange(false),
+  });
 
   return (
     <SheetPrimitive.Root
diff --git a/web/src/context/detail-stream-context.tsx b/web/src/context/detail-stream-context.tsx
new file mode 100644
index 000000000..67c06f981
--- /dev/null
+++ b/web/src/context/detail-stream-context.tsx
@@ -0,0 +1,144 @@
+import React, {
+  createContext,
+  useContext,
+  useState,
+  useEffect,
+  useRef,
+} from "react";
+import { FrigateConfig } from "@/types/frigateConfig";
+import useSWR from "swr";
+
+export interface DetailStreamContextType {
+  selectedObjectIds: string[];
+  currentTime: number;
+  camera: string;
+  annotationOffset: number; // milliseconds
+  setSelectedObjectIds: React.Dispatch<React.SetStateAction<string[]>>;
+  setAnnotationOffset: React.Dispatch<React.SetStateAction<number>>;
+  toggleObjectSelection: (id: string | undefined) => void;
+  isDetailMode: boolean;
+}
+
+const DetailStreamContext = createContext<DetailStreamContextType | undefined>(
+  undefined,
+);
+
+interface DetailStreamProviderProps {
+  children: React.ReactNode;
+  isDetailMode: boolean;
+  currentTime: number;
+  camera: string;
+  initialSelectedObjectIds?: string[];
+}
+
+export function DetailStreamProvider({
+  children,
+  isDetailMode,
+  currentTime,
+  camera,
+  initialSelectedObjectIds,
+}: DetailStreamProviderProps) {
+  const [selectedObjectIds, setSelectedObjectIds] = useState<string[]>(
+    () => initialSelectedObjectIds ?? [],
+  );
+
+  // When the parent provides a new initialSelectedObjectIds (for example
+  // when navigating between search results) update the selection so children
+  // like `ObjectTrackOverlay` receive the new ids immediately. We only
+  // perform this update when the incoming value actually changes.
+  useEffect(() => {
+    if (
+      initialSelectedObjectIds &&
+      (initialSelectedObjectIds.length !== selectedObjectIds.length ||
+        initialSelectedObjectIds.some((v, i) => selectedObjectIds[i] !== v))
+    ) {
+      setSelectedObjectIds(initialSelectedObjectIds);
+    }
+    // Intentionally include selectedObjectIds to compare previous value and
+    // avoid overwriting user interactions unless the incoming prop changed.
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [initialSelectedObjectIds]);
+
+  const toggleObjectSelection = (id: string | undefined) => {
+    if (id === undefined) {
+      setSelectedObjectIds([]);
+    } else {
+      setSelectedObjectIds((prev) => {
+        if (prev.includes(id)) {
+          return prev.filter((existingId) => existingId !== id);
+        } else {
+          return [...prev, id];
+        }
+      });
+    }
+  };
+
+  const { data: config } = useSWR<FrigateConfig>("config");
+
+  const [annotationOffset, setAnnotationOffset] = useState<number>(() => {
+    if (!config) return 0;
+    return config.cameras[camera]?.detect?.annotation_offset || 0;
+  });
+
+  useEffect(() => {
+    if (!config) return;
+    const cfgOffset = config.cameras[camera]?.detect?.annotation_offset || 0;
+    setAnnotationOffset(cfgOffset);
+  }, [config, camera]);
+
+  // Clear selected objects when exiting detail mode or when the camera
+  // changes for providers that are not initialized with an explicit
+  // `initialSelectedObjectIds` (e.g., the RecordingView). For providers
+  // that receive `initialSelectedObjectIds` (like SearchDetailDialog) we
+  // avoid clearing on camera change to prevent a race with children that
+  // immediately set selection when mounting.
+  const prevCameraRef = useRef<string | undefined>(undefined);
+  useEffect(() => {
+    // Always clear when leaving detail mode
+    if (!isDetailMode) {
+      setSelectedObjectIds([]);
+      prevCameraRef.current = camera;
+      return;
+    }
+
+    // If camera changed and the parent did not provide initialSelectedObjectIds,
+    // clear selection to preserve previous behavior.
+    if (
+      prevCameraRef.current !== undefined &&
+      prevCameraRef.current !== camera &&
+      initialSelectedObjectIds === undefined
+    ) {
+      setSelectedObjectIds([]);
+    }
+
+    prevCameraRef.current = camera;
+  }, [isDetailMode, camera, initialSelectedObjectIds]);
+
+  const value: DetailStreamContextType = {
+    selectedObjectIds,
+    currentTime,
+    camera,
+    annotationOffset,
+    setAnnotationOffset,
+    setSelectedObjectIds,
+    toggleObjectSelection,
+    isDetailMode,
+  };
+
+  return (
+    <DetailStreamContext.Provider value={value}>
+      {children}
+    </DetailStreamContext.Provider>
+  );
+}
+
+// eslint-disable-next-line react-refresh/only-export-components
+export function useDetailStream() {
+  const context = useContext(DetailStreamContext);
+  if (context === undefined) {
+    throw new Error(
+      "useDetailStream must be used within an DetailStreamProvider",
+    );
+  }
+  return context;
+}
diff --git a/web/src/context/streaming-settings-provider.tsx b/web/src/context/streaming-settings-provider.tsx
index 82558722e..bcf6da9c5 100644
--- a/web/src/context/streaming-settings-provider.tsx
+++ b/web/src/context/streaming-settings-provider.tsx
@@ -6,7 +6,7 @@ import {
   useContext,
 } from "react";
 import { AllGroupsStreamingSettings } from "@/types/frigateConfig";
-import { usePersistence } from "@/hooks/use-persistence";
+import { useUserPersistence } from "@/hooks/use-user-persistence";
 
 type StreamingSettingsContextType = {
   allGroupsStreamingSettings: AllGroupsStreamingSettings;
@@ -29,7 +29,7 @@ export function StreamingSettingsProvider({
     persistedGroupStreamingSettings,
     setPersistedGroupStreamingSettings,
     isPersistedStreamingSettingsLoaded,
-  ] = usePersistence<AllGroupsStreamingSettings>("streaming-settings");
+  ] = useUserPersistence<AllGroupsStreamingSettings>("streaming-settings");
 
   useEffect(() => {
     if (isPersistedStreamingSettingsLoaded) {
diff --git a/web/src/hooks/use-camera-live-mode.ts b/web/src/hooks/use-camera-live-mode.ts
index 17dfaee91..288c0ea09 100644
--- a/web/src/hooks/use-camera-live-mode.ts
+++ b/web/src/hooks/use-camera-live-mode.ts
@@ -1,17 +1,20 @@
 import { CameraConfig, FrigateConfig } from "@/types/frigateConfig";
 import { useCallback, useEffect, useState, useMemo } from "react";
 import useSWR from "swr";
-import { LivePlayerMode, LiveStreamMetadata } from "@/types/live";
+import { LivePlayerMode } from "@/types/live";
+import useDeferredStreamMetadata from "./use-deferred-stream-metadata";
+import { detectCameraAudioFeatures } from "@/utils/cameraUtil";
 
 export default function useCameraLiveMode(
   cameras: CameraConfig[],
   windowVisible: boolean,
+  activeStreams?: { [cameraName: string]: string },
 ) {
   const { data: config } = useSWR<FrigateConfig>("config");
 
-  // Get comma-separated list of restreamed stream names for SWR key
-  const restreamedStreamsKey = useMemo(() => {
-    if (!cameras || !config) return null;
+  // Compute which streams need metadata (restreamed streams only)
+  const restreamedStreamNames = useMemo(() => {
+    if (!cameras || !config) return [];
 
     const streamNames = new Set<string>();
     cameras.forEach((camera) => {
@@ -20,57 +23,23 @@ export default function useCameraLiveMode(
       );
 
       if (isRestreamed) {
-        Object.values(camera.live.streams).forEach((streamName) => {
-          streamNames.add(streamName);
-        });
-      }
-    });
-
-    return streamNames.size > 0
-      ? Array.from(streamNames).sort().join(",")
-      : null;
-  }, [cameras, config]);
-
-  const streamsFetcher = useCallback(async (key: string) => {
-    const streamNames = key.split(",");
-
-    const metadataPromises = streamNames.map(async (streamName) => {
-      try {
-        const response = await fetch(`/api/go2rtc/streams/${streamName}`, {
-          priority: "low",
-        });
-
-        if (response.ok) {
-          const data = await response.json();
-          return { streamName, data };
+        if (activeStreams && activeStreams[camera.name]) {
+          streamNames.add(activeStreams[camera.name]);
+        } else {
+          Object.values(camera.live.streams).forEach((streamName) => {
+            streamNames.add(streamName);
+          });
         }
-        return { streamName, data: null };
-      } catch (error) {
-        // eslint-disable-next-line no-console
-        console.error(`Failed to fetch metadata for ${streamName}:`, error);
-        return { streamName, data: null };
       }
     });
 
-    const results = await Promise.allSettled(metadataPromises);
+    return Array.from(streamNames);
+  }, [cameras, config, activeStreams]);
 
-    const metadata: { [key: string]: LiveStreamMetadata } = {};
-    results.forEach((result) => {
-      if (result.status === "fulfilled" && result.value.data) {
-        metadata[result.value.streamName] = result.value.data;
-      }
-    });
-
-    return metadata;
-  }, []);
-
-  const { data: allStreamMetadata = {} } = useSWR<{
-    [key: string]: LiveStreamMetadata;
-  }>(restreamedStreamsKey, streamsFetcher, {
-    revalidateOnFocus: false,
-    dedupingInterval: 10000,
-  });
+  // Fetch stream metadata with deferred loading (doesn't block initial render)
+  const streamMetadata = useDeferredStreamMetadata(restreamedStreamNames);
 
+  // Compute live mode states
   const [preferredLiveModes, setPreferredLiveModes] = useState<{
     [key: string]: LivePlayerMode;
   }>({});
@@ -85,7 +54,7 @@ export default function useCameraLiveMode(
   }>({});
 
   useEffect(() => {
-    if (!cameras) return;
+    if (!cameras || cameras.length === 0) return;
 
     const mseSupported =
       "MediaSource" in window || "ManagedMediaSource" in window;
@@ -111,20 +80,13 @@ export default function useCameraLiveMode(
         newPreferredLiveModes[camera.name] = isRestreamed ? "mse" : "jsmpeg";
       }
 
-      // check each stream for audio support
+      // Check each stream for audio support
       if (isRestreamed) {
         Object.values(camera.live.streams).forEach((streamName) => {
-          const metadata = allStreamMetadata?.[streamName];
+          const metadata = streamMetadata[streamName];
+          const audioFeatures = detectCameraAudioFeatures(metadata);
           newSupportsAudioOutputStates[streamName] = {
-            supportsAudio: metadata
-              ? metadata.producers.find(
-                  (prod) =>
-                    prod.medias &&
-                    prod.medias.find((media) =>
-                      media.includes("audio, recvonly"),
-                    ) !== undefined,
-                ) !== undefined
-              : false,
+            supportsAudio: audioFeatures.audioOutput,
             cameraName: camera.name,
           };
         });
@@ -139,7 +101,7 @@ export default function useCameraLiveMode(
     setPreferredLiveModes(newPreferredLiveModes);
     setIsRestreamedStates(newIsRestreamedStates);
     setSupportsAudioOutputStates(newSupportsAudioOutputStates);
-  }, [cameras, config, windowVisible, allStreamMetadata]);
+  }, [cameras, config, windowVisible, streamMetadata]);
 
   const resetPreferredLiveMode = useCallback(
     (cameraName: string) => {
@@ -169,5 +131,6 @@ export default function useCameraLiveMode(
     resetPreferredLiveMode,
     isRestreamedStates,
     supportsAudioOutputStates,
+    streamMetadata,
   };
 }
diff --git a/web/src/hooks/use-date-locale.ts b/web/src/hooks/use-date-locale.ts
index 6edacd6ee..3c88774b7 100644
--- a/web/src/hooks/use-date-locale.ts
+++ b/web/src/hooks/use-date-locale.ts
@@ -34,6 +34,7 @@ const localeMap: Record<string, () => Promise<Locale>> = {
   sk: () => import("date-fns/locale/sk").then((module) => module.sk),
   "yue-Hant": () =>
     import("date-fns/locale/zh-HK").then((module) => module.zhHK),
+  lt: () => import("date-fns/locale/lt").then((module) => module.lt),
   th: () => import("date-fns/locale/th").then((module) => module.th),
   ca: () => import("date-fns/locale/ca").then((module) => module.ca),
 };
diff --git a/web/src/hooks/use-deferred-stream-metadata.ts b/web/src/hooks/use-deferred-stream-metadata.ts
new file mode 100644
index 000000000..8e68b6a6a
--- /dev/null
+++ b/web/src/hooks/use-deferred-stream-metadata.ts
@@ -0,0 +1,90 @@
+import { baseUrl } from "@/api/baseUrl";
+import { useCallback, useEffect, useState, useMemo } from "react";
+import useSWR from "swr";
+import { LiveStreamMetadata } from "@/types/live";
+
+const FETCH_TIMEOUT_MS = 10000;
+const DEFER_DELAY_MS = 2000;
+
+/**
+ * Hook that fetches go2rtc stream metadata with deferred loading.
+ *
+ * Metadata fetching is delayed to prevent blocking initial page load
+ * and camera image requests.
+ *
+ * @param streamNames - Array of stream names to fetch metadata for
+ * @returns Object containing stream metadata keyed by stream name
+ */
+export default function useDeferredStreamMetadata(streamNames: string[]) {
+  const [fetchEnabled, setFetchEnabled] = useState(false);
+
+  useEffect(() => {
+    const timeoutId = setTimeout(() => {
+      setFetchEnabled(true);
+    }, DEFER_DELAY_MS);
+
+    return () => clearTimeout(timeoutId);
+  }, []);
+
+  const swrKey = useMemo(() => {
+    if (!fetchEnabled || streamNames.length === 0) return null;
+    // Use spread to avoid mutating the original array
+    return `deferred-streams:${[...streamNames].sort().join(",")}`;
+  }, [fetchEnabled, streamNames]);
+
+  const fetcher = useCallback(async (key: string) => {
+    // Extract stream names from key (remove prefix)
+    const names = key.replace("deferred-streams:", "").split(",");
+
+    const promises = names.map(async (streamName) => {
+      const controller = new AbortController();
+      const timeoutId = setTimeout(() => controller.abort(), FETCH_TIMEOUT_MS);
+
+      try {
+        const response = await fetch(
+          `${baseUrl}api/go2rtc/streams/${streamName}`,
+          {
+            priority: "low",
+            signal: controller.signal,
+          },
+        );
+        clearTimeout(timeoutId);
+
+        if (response.ok) {
+          const data = await response.json();
+          return { streamName, data };
+        }
+        return { streamName, data: null };
+      } catch (error) {
+        clearTimeout(timeoutId);
+        if ((error as Error).name !== "AbortError") {
+          // eslint-disable-next-line no-console
+          console.error(`Failed to fetch metadata for ${streamName}:`, error);
+        }
+        return { streamName, data: null };
+      }
+    });
+
+    const results = await Promise.allSettled(promises);
+
+    const metadata: { [key: string]: LiveStreamMetadata } = {};
+    results.forEach((result) => {
+      if (result.status === "fulfilled" && result.value.data) {
+        metadata[result.value.streamName] = result.value.data;
+      }
+    });
+
+    return metadata;
+  }, []);
+
+  const { data: metadata = {} } = useSWR<{
+    [key: string]: LiveStreamMetadata;
+  }>(swrKey, fetcher, {
+    revalidateOnFocus: false,
+    revalidateOnReconnect: false,
+    revalidateIfStale: false,
+    dedupingInterval: 60000,
+  });
+
+  return metadata;
+}
diff --git a/web/src/hooks/use-draggable-element.ts b/web/src/hooks/use-draggable-element.ts
index bff6a1c70..e7f77a6f5 100644
--- a/web/src/hooks/use-draggable-element.ts
+++ b/web/src/hooks/use-draggable-element.ts
@@ -1,10 +1,11 @@
-import { useCallback, useEffect, useMemo, useRef, useState } from "react";
+import { useCallback, useEffect, useMemo, useState } from "react";
 import { useTimelineUtils } from "./use-timeline-utils";
 import { FrigateConfig } from "@/types/frigateConfig";
 import useSWR from "swr";
 import { formatUnixTimestampToDateTime } from "@/utils/dateUtil";
 import { useDateLocale } from "./use-date-locale";
 import { useTranslation } from "react-i18next";
+import useUserInteraction from "./use-user-interaction";
 
 type DraggableElementProps = {
   contentRef: React.RefObject<HTMLElement>;
@@ -71,9 +72,9 @@ function useDraggableElement({
 
   // track user interaction and adjust scrolling behavior
 
-  const [userInteracting, setUserInteracting] = useState(false);
-  const interactionTimeout = useRef<NodeJS.Timeout>();
-  const isProgrammaticScroll = useRef(false);
+  const { userInteracting } = useUserInteraction({
+    elementRef: timelineRef,
+  });
 
   const draggingAtTopEdge = useMemo(() => {
     if (clientYPosition && timelineRef.current && scrollEdgeSize) {
@@ -507,47 +508,6 @@ function useDraggableElement({
     }
   }, [timelineRef, segmentsRef, segments]);
 
-  useEffect(() => {
-    const handleUserInteraction = () => {
-      if (!isProgrammaticScroll.current) {
-        setUserInteracting(true);
-
-        if (interactionTimeout.current) {
-          clearTimeout(interactionTimeout.current);
-        }
-
-        interactionTimeout.current = setTimeout(() => {
-          setUserInteracting(false);
-        }, 3000);
-      } else {
-        isProgrammaticScroll.current = false;
-      }
-    };
-
-    const timelineElement = timelineRef.current;
-
-    if (timelineElement) {
-      timelineElement.addEventListener("scroll", handleUserInteraction);
-      timelineElement.addEventListener("mousedown", handleUserInteraction);
-      timelineElement.addEventListener("mouseup", handleUserInteraction);
-      timelineElement.addEventListener("touchstart", handleUserInteraction);
-      timelineElement.addEventListener("touchmove", handleUserInteraction);
-      timelineElement.addEventListener("touchend", handleUserInteraction);
-
-      return () => {
-        timelineElement.removeEventListener("scroll", handleUserInteraction);
-        timelineElement.removeEventListener("mousedown", handleUserInteraction);
-        timelineElement.removeEventListener("mouseup", handleUserInteraction);
-        timelineElement.removeEventListener(
-          "touchstart",
-          handleUserInteraction,
-        );
-        timelineElement.removeEventListener("touchmove", handleUserInteraction);
-        timelineElement.removeEventListener("touchend", handleUserInteraction);
-      };
-    }
-  }, [timelineRef]);
-
   return { handleMouseDown, handleMouseUp, handleMouseMove };
 }
 
diff --git a/web/src/hooks/use-event-segment-utils.ts b/web/src/hooks/use-event-segment-utils.ts
index 3ecafcded..b105c3bf8 100644
--- a/web/src/hooks/use-event-segment-utils.ts
+++ b/web/src/hooks/use-event-segment-utils.ts
@@ -191,8 +191,8 @@ export const useEventSegmentUtils = (
     [events, getSegmentStart, getSegmentEnd, severityType],
   );
 
-  const getEventThumbnail = useCallback(
-    (time: number): string => {
+  const getEvent = useCallback(
+    (time: number): ReviewSegment | undefined => {
       const matchingEvent = events.find((event) => {
         return (
           time >= getSegmentStart(event.start_time) &&
@@ -201,7 +201,7 @@ export const useEventSegmentUtils = (
         );
       });
 
-      return matchingEvent?.thumb_path ?? "";
+      return matchingEvent;
     },
     [events, getSegmentStart, getSegmentEnd, severityType],
   );
@@ -214,6 +214,6 @@ export const useEventSegmentUtils = (
     getReviewed,
     shouldShowRoundedCorners,
     getEventStart,
-    getEventThumbnail,
+    getEvent,
   };
 };
diff --git a/web/src/hooks/use-history-back.ts b/web/src/hooks/use-history-back.ts
new file mode 100644
index 000000000..764312c7b
--- /dev/null
+++ b/web/src/hooks/use-history-back.ts
@@ -0,0 +1,74 @@
+import * as React from "react";
+
+interface UseHistoryBackOptions {
+  enabled: boolean;
+  open: boolean;
+  onClose: () => void;
+}
+
+/**
+ * Hook that manages browser history for overlay components (dialogs, sheets, etc.)
+ * When enabled, pressing the browser back button will close the overlay instead of navigating away.
+ */
+export function useHistoryBack({
+  enabled,
+  open,
+  onClose,
+}: UseHistoryBackOptions): void {
+  const historyPushedRef = React.useRef(false);
+  const closedByBackRef = React.useRef(false);
+  const urlWhenOpenedRef = React.useRef<string | null>(null);
+
+  // Keep onClose in a ref to avoid effect re-runs that cause multiple history pushes
+  const onCloseRef = React.useRef(onClose);
+  React.useLayoutEffect(() => {
+    onCloseRef.current = onClose;
+  });
+
+  React.useEffect(() => {
+    if (!enabled) return;
+
+    if (open) {
+      // Only push history state if we haven't already (prevents duplicates in strict mode)
+      if (!historyPushedRef.current) {
+        // Store the current URL (pathname + search, without hash) before pushing history state
+        urlWhenOpenedRef.current =
+          window.location.pathname + window.location.search;
+        window.history.pushState({ overlayOpen: true }, "");
+        historyPushedRef.current = true;
+      }
+
+      const handlePopState = () => {
+        closedByBackRef.current = true;
+        historyPushedRef.current = false;
+        urlWhenOpenedRef.current = null;
+        onCloseRef.current();
+      };
+
+      window.addEventListener("popstate", handlePopState);
+
+      return () => {
+        window.removeEventListener("popstate", handlePopState);
+      };
+    } else {
+      // Overlay is closing - clean up history if we pushed and it wasn't via back button
+      if (historyPushedRef.current && !closedByBackRef.current) {
+        const currentUrl = window.location.pathname + window.location.search;
+        const urlWhenOpened = urlWhenOpenedRef.current;
+
+        // If the URL has changed (e.g., filters were applied via search params),
+        // don't go back as it would undo the filter update.
+        // The history entry we pushed will remain, but that's acceptable compared
+        // to losing the user's filter changes.
+        if (!urlWhenOpened || currentUrl === urlWhenOpened) {
+          // URL hasn't changed, safe to go back and remove our history entry
+          window.history.back();
+        }
+        // If URL changed, we skip history.back() to preserve the filter updates
+      }
+      historyPushedRef.current = false;
+      closedByBackRef.current = false;
+      urlWhenOpenedRef.current = null;
+    }
+  }, [enabled, open]);
+}
diff --git a/web/src/hooks/use-motion-segment-utils.ts b/web/src/hooks/use-motion-segment-utils.ts
index 0482e776e..91391c550 100644
--- a/web/src/hooks/use-motion-segment-utils.ts
+++ b/web/src/hooks/use-motion-segment-utils.ts
@@ -43,9 +43,14 @@ export const useMotionSegmentUtils = (
       const segmentStart = getSegmentStart(time);
       const segmentEnd = getSegmentEnd(time);
       const matchingEvents = motion_events.filter((event) => {
-        return (
-          event.start_time >= segmentStart && event.start_time < segmentEnd
-        );
+        // Use integer ms math to avoid floating point rounding issues
+        // when halfSegmentDuration is not an integer
+        // (eg, 2.5 seconds from timeline zooming)
+        const eventMs = Math.round(event.start_time * 1000);
+        const halfMs = Math.round(halfSegmentDuration * 1000);
+        const eventBucketMs = Math.round(eventMs / halfMs) * halfMs;
+        const eventRounded = eventBucketMs / 1000;
+        return eventRounded >= segmentStart && eventRounded < segmentEnd;
       });
 
       const totalMotion = matchingEvents.reduce(
@@ -55,7 +60,7 @@ export const useMotionSegmentUtils = (
 
       return totalMotion;
     },
-    [motion_events, getSegmentStart, getSegmentEnd],
+    [motion_events, getSegmentStart, getSegmentEnd, halfSegmentDuration],
   );
 
   const getAudioSegmentValue = useCallback(
diff --git a/web/src/hooks/use-overlay-state.tsx b/web/src/hooks/use-overlay-state.tsx
index ab4b7fcfe..34389c5cf 100644
--- a/web/src/hooks/use-overlay-state.tsx
+++ b/web/src/hooks/use-overlay-state.tsx
@@ -1,6 +1,8 @@
-import { useCallback, useEffect, useMemo } from "react";
+import { useCallback, useContext, useEffect, useMemo } from "react";
 import { useLocation, useNavigate, useSearchParams } from "react-router-dom";
 import { usePersistence } from "./use-persistence";
+import { useUserPersistence } from "./use-user-persistence";
+import { AuthContext } from "@/context/auth-context";
 
 export function useOverlayState<S>(
   key: string,
@@ -79,6 +81,60 @@ export function usePersistedOverlayState<S extends string>(
   ];
 }
 
+/**
+ * Like usePersistedOverlayState, but namespaces the persistence key by username.
+ * This ensures different users on the same browser don't share state.
+ * Automatically migrates data from legacy (non-namespaced) keys on first use.
+ */
+export function useUserPersistedOverlayState<S extends string>(
+  key: string,
+  defaultValue: S | undefined = undefined,
+): [
+  S | undefined,
+  (value: S | undefined, replace?: boolean) => void,
+  boolean,
+  () => void,
+] {
+  const { auth } = useContext(AuthContext);
+  const location = useLocation();
+  const navigate = useNavigate();
+  const currentLocationState = useMemo(() => location.state, [location]);
+
+  // currently selected value from URL state
+  const overlayStateValue = useMemo<S | undefined>(
+    () => location.state && location.state[key],
+    [location, key],
+  );
+
+  // saved value from previous session (user-namespaced with migration)
+  const [persistedValue, setPersistedValue, loaded, deletePersistedValue] =
+    useUserPersistence<S>(key, overlayStateValue);
+
+  const setOverlayStateValue = useCallback(
+    (value: S | undefined, replace: boolean = false) => {
+      setPersistedValue(value);
+      const newLocationState = { ...currentLocationState };
+      newLocationState[key] = value;
+      navigate(location.pathname, { state: newLocationState, replace });
+    },
+    // we know that these deps are correct
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+    [key, currentLocationState, navigate, setPersistedValue],
+  );
+
+  // Don't return a value until auth has finished loading
+  if (auth.isLoading) {
+    return [undefined, setOverlayStateValue, false, deletePersistedValue];
+  }
+
+  return [
+    overlayStateValue ?? persistedValue ?? defaultValue,
+    setOverlayStateValue,
+    loaded,
+    deletePersistedValue,
+  ];
+}
+
 export function useHashState<S extends string>(): [
   S | undefined,
   (value: S) => void,
diff --git a/web/src/hooks/use-user-interaction.ts b/web/src/hooks/use-user-interaction.ts
new file mode 100644
index 000000000..2b59a6d49
--- /dev/null
+++ b/web/src/hooks/use-user-interaction.ts
@@ -0,0 +1,57 @@
+import { useCallback, useEffect, useRef, useState } from "react";
+
+type UseUserInteractionProps = {
+  elementRef: React.RefObject<HTMLElement>;
+};
+
+function useUserInteraction({ elementRef }: UseUserInteractionProps) {
+  const [userInteracting, setUserInteracting] = useState(false);
+  const interactionTimeout = useRef<NodeJS.Timeout>();
+  const isProgrammaticScroll = useRef(false);
+
+  const setProgrammaticScroll = useCallback(() => {
+    isProgrammaticScroll.current = true;
+  }, []);
+
+  useEffect(() => {
+    const handleUserInteraction = () => {
+      if (!isProgrammaticScroll.current) {
+        setUserInteracting(true);
+
+        if (interactionTimeout.current) {
+          clearTimeout(interactionTimeout.current);
+        }
+
+        interactionTimeout.current = setTimeout(() => {
+          setUserInteracting(false);
+        }, 3000);
+      } else {
+        isProgrammaticScroll.current = false;
+      }
+    };
+
+    const element = elementRef.current;
+
+    if (element) {
+      element.addEventListener("scroll", handleUserInteraction);
+      element.addEventListener("mousedown", handleUserInteraction);
+      element.addEventListener("mouseup", handleUserInteraction);
+      element.addEventListener("touchstart", handleUserInteraction);
+      element.addEventListener("touchmove", handleUserInteraction);
+      element.addEventListener("touchend", handleUserInteraction);
+
+      return () => {
+        element.removeEventListener("scroll", handleUserInteraction);
+        element.removeEventListener("mousedown", handleUserInteraction);
+        element.removeEventListener("mouseup", handleUserInteraction);
+        element.removeEventListener("touchstart", handleUserInteraction);
+        element.removeEventListener("touchmove", handleUserInteraction);
+        element.removeEventListener("touchend", handleUserInteraction);
+      };
+    }
+  }, [elementRef]);
+
+  return { userInteracting, setProgrammaticScroll };
+}
+
+export default useUserInteraction;
diff --git a/web/src/hooks/use-user-persistence.ts b/web/src/hooks/use-user-persistence.ts
new file mode 100644
index 000000000..519a8aa5a
--- /dev/null
+++ b/web/src/hooks/use-user-persistence.ts
@@ -0,0 +1,199 @@
+import { useEffect, useState, useCallback, useContext, useRef } from "react";
+import { get as getData, set as setData, del as delData } from "idb-keyval";
+import { AuthContext } from "@/context/auth-context";
+
+type useUserPersistenceReturn<S> = [
+  value: S | undefined,
+  setValue: (value: S | undefined) => void,
+  loaded: boolean,
+  deleteValue: () => void,
+];
+
+// Key used to track which keys have been migrated to prevent re-reading old keys
+const MIGRATED_KEYS_STORAGE_KEY = "frigate-migrated-user-keys";
+
+/**
+ * Compute the user-namespaced key for a given base key and username.
+ */
+export function getUserNamespacedKey(
+  key: string,
+  username: string | undefined,
+): string {
+  const isAuthenticated = username && username !== "anonymous";
+  return isAuthenticated ? `${key}:${username}` : key;
+}
+
+/**
+ * Delete a user-namespaced key from storage.
+ * This is useful for clearing user-specific data from settings pages.
+ */
+export async function deleteUserNamespacedKey(
+  key: string,
+  username: string | undefined,
+): Promise<void> {
+  const namespacedKey = getUserNamespacedKey(key, username);
+  await delData(namespacedKey);
+}
+
+/**
+ * Get the set of keys that have already been migrated for a specific user.
+ */
+async function getMigratedKeys(username: string): Promise<Set<string>> {
+  const allMigrated =
+    (await getData<Record<string, string[]>>(MIGRATED_KEYS_STORAGE_KEY)) || {};
+  return new Set(allMigrated[username] || []);
+}
+
+/**
+ * Mark a key as migrated for a specific user.
+ */
+async function markKeyAsMigrated(username: string, key: string): Promise<void> {
+  const allMigrated =
+    (await getData<Record<string, string[]>>(MIGRATED_KEYS_STORAGE_KEY)) || {};
+  const userMigrated = new Set(allMigrated[username] || []);
+  userMigrated.add(key);
+  allMigrated[username] = Array.from(userMigrated);
+  await setData(MIGRATED_KEYS_STORAGE_KEY, allMigrated);
+}
+
+/**
+ * Hook for user-namespaced persistence with automatic migration from legacy keys.
+ *
+ * This hook:
+ * 1. Namespaces storage keys by username to isolate per-user preferences
+ * 2. Automatically migrates data from legacy (non-namespaced) keys on first use
+ * 3. Tracks migrated keys to prevent re-reading stale data after migration
+ * 4. Waits for auth to load before returning values to prevent race conditions
+ *
+ * @param key - The base key name (will be namespaced with username)
+ * @param defaultValue - Default value if no persisted value exists
+ */
+export function useUserPersistence<S>(
+  key: string,
+  defaultValue: S | undefined = undefined,
+): useUserPersistenceReturn<S> {
+  const { auth } = useContext(AuthContext);
+  const [value, setInternalValue] = useState<S | undefined>(defaultValue);
+  const [loaded, setLoaded] = useState<boolean>(false);
+  const migrationAttemptedRef = useRef(false);
+
+  // Compute the user-namespaced key
+  const username = auth?.user?.username;
+  const isAuthenticated =
+    username && username !== "anonymous" && !auth.isLoading;
+  const namespacedKey = isAuthenticated ? `${key}:${username}` : key;
+
+  // Track the key that was used when loading to prevent cross-key writes
+  const loadedKeyRef = useRef<string | null>(null);
+
+  const setValue = useCallback(
+    (newValue: S | undefined) => {
+      // Only allow writes if we've loaded for this key
+      // This prevents stale callbacks from writing to the wrong key
+      if (loadedKeyRef.current !== namespacedKey) {
+        return;
+      }
+      setInternalValue(newValue);
+      async function update() {
+        await setData(namespacedKey, newValue);
+      }
+      update();
+    },
+    [namespacedKey],
+  );
+
+  const deleteValue = useCallback(async () => {
+    if (loadedKeyRef.current !== namespacedKey) {
+      return;
+    }
+    await delData(namespacedKey);
+    setInternalValue(defaultValue);
+  }, [namespacedKey, defaultValue]);
+
+  useEffect(() => {
+    // Don't load until auth is resolved
+    if (auth.isLoading) {
+      return;
+    }
+
+    // Reset state when key changes - this prevents stale writes
+    loadedKeyRef.current = null;
+    migrationAttemptedRef.current = false;
+    setLoaded(false);
+
+    async function loadWithMigration() {
+      // For authenticated users, check if we need to migrate from legacy key
+      if (isAuthenticated && username && !migrationAttemptedRef.current) {
+        migrationAttemptedRef.current = true;
+
+        const migratedKeys = await getMigratedKeys(username);
+
+        // Check if we already have data in the namespaced key
+        const existingNamespacedValue = await getData<S>(namespacedKey);
+
+        if (typeof existingNamespacedValue !== "undefined") {
+          // Already have namespaced data, use it
+          setInternalValue(existingNamespacedValue);
+          loadedKeyRef.current = namespacedKey;
+          setLoaded(true);
+          return;
+        }
+
+        // Check if this key has already been migrated (even if value was deleted)
+        if (migratedKeys.has(key)) {
+          // Already migrated, don't read from legacy key
+          setInternalValue(defaultValue);
+          loadedKeyRef.current = namespacedKey;
+          setLoaded(true);
+          return;
+        }
+
+        // Try to migrate from legacy key
+        const legacyValue = await getData<S>(key);
+        if (typeof legacyValue !== "undefined") {
+          // Migrate: copy to namespaced key, delete legacy key, mark as migrated
+          await setData(namespacedKey, legacyValue);
+          await delData(key);
+          await markKeyAsMigrated(username, key);
+          setInternalValue(legacyValue);
+          loadedKeyRef.current = namespacedKey;
+          setLoaded(true);
+          return;
+        }
+
+        // No legacy value, just mark as migrated so we don't check again
+        await markKeyAsMigrated(username, key);
+        setInternalValue(defaultValue);
+        loadedKeyRef.current = namespacedKey;
+        setLoaded(true);
+        return;
+      }
+
+      // For unauthenticated users or after migration check, just load normally
+      const storedValue = await getData<S>(namespacedKey);
+      if (typeof storedValue !== "undefined") {
+        setInternalValue(storedValue);
+      } else {
+        setInternalValue(defaultValue);
+      }
+      loadedKeyRef.current = namespacedKey;
+      setLoaded(true);
+    }
+
+    loadWithMigration();
+  }, [
+    auth.isLoading,
+    isAuthenticated,
+    username,
+    key,
+    namespacedKey,
+    defaultValue,
+  ]);
+
+  // Don't return a value until auth has finished loading
+  if (auth.isLoading) {
+    return [undefined, setValue, false, deleteValue];
+  }
+
+  return [value, setValue, loaded, deleteValue];
+}
diff --git a/web/src/hooks/use-zone-friendly-name.ts b/web/src/hooks/use-zone-friendly-name.ts
new file mode 100644
index 000000000..18ce2a45c
--- /dev/null
+++ b/web/src/hooks/use-zone-friendly-name.ts
@@ -0,0 +1,41 @@
+import { FrigateConfig } from "@/types/frigateConfig";
+import { useMemo } from "react";
+import useSWR from "swr";
+
+export function resolveZoneName(
+  config: FrigateConfig | undefined,
+  zoneId: string,
+  cameraId?: string,
+) {
+  if (!config) return String(zoneId).replace(/_/g, " ");
+
+  if (cameraId) {
+    const camera = config.cameras?.[String(cameraId)];
+    const zone = camera?.zones?.[zoneId];
+    return zone?.friendly_name || String(zoneId).replace(/_/g, " ");
+  }
+
+  for (const camKey in config.cameras) {
+    if (!Object.prototype.hasOwnProperty.call(config.cameras, camKey)) continue;
+    const cam = config.cameras[camKey];
+    if (!cam?.zones) continue;
+    if (Object.prototype.hasOwnProperty.call(cam.zones, zoneId)) {
+      const zone = cam.zones[zoneId];
+      return zone?.friendly_name || String(zoneId).replace(/_/g, " ");
+    }
+  }
+
+  // Fallback: return a cleaned-up zoneId string
+  return String(zoneId).replace(/_/g, " ");
+}
+
+export function useZoneFriendlyName(zoneId: string, cameraId?: string): string {
+  const { data: config } = useSWR<FrigateConfig>("config");
+
+  const name = useMemo(
+    () => resolveZoneName(config, zoneId, cameraId),
+    [config, cameraId, zoneId],
+  );
+
+  return name;
+}
diff --git a/web/src/lib/const.ts b/web/src/lib/const.ts
index 5dbf2929e..ad35d5ae3 100644
--- a/web/src/lib/const.ts
+++ b/web/src/lib/const.ts
@@ -10,15 +10,19 @@ export const supportedLanguageKeys = [
   "ro",
   "nl",
   "nb-NO",
+  "sv",
   "zh-CN",
   "yue-Hant",
+  "ja",
   "vi",
   "th",
   "he",
   "ru",
   "tr",
   "pl",
+  "lt",
   "uk",
   "cs",
+  "sk",
   "hu",
 ];
diff --git a/web/src/pages/ConfigEditor.tsx b/web/src/pages/ConfigEditor.tsx
index 364c13252..f3c4d4099 100644
--- a/web/src/pages/ConfigEditor.tsx
+++ b/web/src/pages/ConfigEditor.tsx
@@ -49,6 +49,7 @@ function ConfigEditor() {
 
   const [restartDialogOpen, setRestartDialogOpen] = useState(false);
   const { send: sendRestart } = useRestart();
+  const initialValidationRef = useRef(false);
 
   const onHandleSaveConfig = useCallback(
     async (save_option: SaveOptions): Promise<void> => {
@@ -171,6 +172,33 @@ function ConfigEditor() {
     };
   }, [rawConfig, apiHost, systemTheme, theme, onHandleSaveConfig]);
 
+  // when in safe mode, attempt to validate the existing (invalid) config immediately
+  // so that the user sees the validation errors without needing to press save
+  useEffect(() => {
+    if (
+      config?.safe_mode &&
+      rawConfig &&
+      !initialValidationRef.current &&
+      !error
+    ) {
+      initialValidationRef.current = true;
+      axios
+        .post(`config/save?save_option=saveonly`, rawConfig, {
+          headers: { "Content-Type": "text/plain" },
+        })
+        .then(() => {
+          // if this succeeds while in safe mode, we won't force any UI change
+        })
+        .catch((e: AxiosError<ApiErrorResponse>) => {
+          const errorMessage =
+            e.response?.data?.message ||
+            e.response?.data?.detail ||
+            "Unknown error";
+          setError(errorMessage);
+        });
+    }
+  }, [config?.safe_mode, rawConfig, error]);
+
   // monitoring state
 
   const [hasChanges, setHasChanges] = useState(false);
diff --git a/web/src/pages/Events.tsx b/web/src/pages/Events.tsx
index d477f5693..540a50777 100644
--- a/web/src/pages/Events.tsx
+++ b/web/src/pages/Events.tsx
@@ -3,7 +3,7 @@ import useApiFilter from "@/hooks/use-api-filter";
 import { useCameraPreviews } from "@/hooks/use-camera-previews";
 import { useTimezone } from "@/hooks/use-date-utils";
 import { useOverlayState, useSearchEffect } from "@/hooks/use-overlay-state";
-import { usePersistence } from "@/hooks/use-persistence";
+import { useUserPersistence } from "@/hooks/use-user-persistence";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { RecordingStartingPoint } from "@/types/record";
 import {
@@ -15,6 +15,7 @@ import {
   ReviewSummary,
   SegmentedReviewData,
 } from "@/types/review";
+import { TimelineType } from "@/types/timeline";
 import {
   getBeginningOfDayTimestamp,
   getEndOfDayTimestamp,
@@ -41,7 +42,10 @@ export default function Events() {
     "alert",
   );
 
-  const [showReviewed, setShowReviewed] = usePersistence("showReviewed", false);
+  const [showReviewed, setShowReviewed] = useUserPersistence(
+    "showReviewed",
+    false,
+  );
 
   const [recording, setRecording] = useOverlayState<RecordingStartingPoint>(
     "recording",
@@ -49,6 +53,16 @@ export default function Events() {
     false,
   );
 
+  const [notificationTab, setNotificationTab] =
+    useState<TimelineType>("timeline");
+
+  useSearchEffect("tab", (tab: string) => {
+    if (tab === "timeline" || tab === "events" || tab === "detail") {
+      setNotificationTab(tab as TimelineType);
+    }
+    return true;
+  });
+
   useSearchEffect("id", (reviewId: string) => {
     axios
       .get(`review/${reviewId}`)
@@ -66,6 +80,7 @@ export default function Events() {
               camera: resp.data.camera,
               startTime,
               severity: resp.data.severity,
+              timelineType: notificationTab,
             },
             true,
           );
@@ -190,7 +205,7 @@ export default function Events() {
       cameras: reviewSearchParams["cameras"],
       labels: reviewSearchParams["labels"],
       zones: reviewSearchParams["zones"],
-      reviewed: 1,
+      reviewed: null, // We want both reviewed and unreviewed items as we filter in the UI
       before: reviewSearchParams["before"] || last24Hours.before,
       after: reviewSearchParams["after"] || last24Hours.after,
     };
@@ -356,16 +371,24 @@ export default function Events() {
       if (itemsToMarkReviewed.length > 0) {
         await axios.post(`reviews/viewed`, {
           ids: itemsToMarkReviewed,
+          reviewed: true,
         });
         reloadData();
+
+        if (reviewSearchParams["after"] != undefined) {
+          updateSegments();
+        }
       }
     },
-    [reloadData, updateSegments],
+    [reloadData, updateSegments, reviewSearchParams],
   );
 
   const markItemAsReviewed = useCallback(
     async (review: ReviewSegment) => {
-      const resp = await axios.post(`reviews/viewed`, { ids: [review.id] });
+      const resp = await axios.post(`reviews/viewed`, {
+        ids: [review.id],
+        reviewed: true,
+      });
 
       if (resp.status == 200) {
         updateSegments(
@@ -480,6 +503,7 @@ export default function Events() {
           timeRange={selectedTimeRange}
           filter={reviewFilter}
           updateFilter={onUpdateFilter}
+          refreshData={reloadData}
         />
       );
     }
diff --git a/web/src/pages/Explore.tsx b/web/src/pages/Explore.tsx
index 9acc066ba..8f50e982e 100644
--- a/web/src/pages/Explore.tsx
+++ b/web/src/pages/Explore.tsx
@@ -7,7 +7,7 @@ import ActivityIndicator from "@/components/indicators/activity-indicator";
 import AnimatedCircularProgressBar from "@/components/ui/circular-progress-bar";
 import { useApiFilterArgs } from "@/hooks/use-api-filter";
 import { useTimezone } from "@/hooks/use-date-utils";
-import { usePersistence } from "@/hooks/use-persistence";
+import { useUserPersistence } from "@/hooks/use-user-persistence";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { SearchFilter, SearchQuery, SearchResult } from "@/types/search";
 import { ModelState } from "@/types/ws";
@@ -31,6 +31,7 @@ const SEARCH_FILTER_ARRAY_KEYS = [
   "cameras",
   "labels",
   "sub_labels",
+  "attributes",
   "recognized_license_plate",
   "zones",
 ];
@@ -47,7 +48,10 @@ export default function Explore() {
 
   // grid
 
-  const [columnCount, setColumnCount] = usePersistence("exploreGridColumns", 4);
+  const [columnCount, setColumnCount] = useUserPersistence(
+    "exploreGridColumns",
+    4,
+  );
   const gridColumns = useMemo(() => {
     if (isMobileOnly) {
       return 2;
@@ -57,7 +61,7 @@ export default function Explore() {
 
   // default layout
 
-  const [defaultView, setDefaultView, defaultViewLoaded] = usePersistence(
+  const [defaultView, setDefaultView, defaultViewLoaded] = useUserPersistence(
     "exploreDefaultView",
     "summary",
   );
@@ -119,6 +123,7 @@ export default function Explore() {
           cameras: searchSearchParams["cameras"],
           labels: searchSearchParams["labels"],
           sub_labels: searchSearchParams["sub_labels"],
+          attributes: searchSearchParams["attributes"],
           recognized_license_plate:
             searchSearchParams["recognized_license_plate"],
           zones: searchSearchParams["zones"],
@@ -155,6 +160,7 @@ export default function Explore() {
         cameras: searchSearchParams["cameras"],
         labels: searchSearchParams["labels"],
         sub_labels: searchSearchParams["sub_labels"],
+        attributes: searchSearchParams["attributes"],
         recognized_license_plate:
           searchSearchParams["recognized_license_plate"],
         zones: searchSearchParams["zones"],
diff --git a/web/src/pages/Exports.tsx b/web/src/pages/Exports.tsx
index 7e4e820d9..26a75801a 100644
--- a/web/src/pages/Exports.tsx
+++ b/web/src/pages/Exports.tsx
@@ -206,7 +206,7 @@ function Exports() {
           >
             {Object.values(exports).map((item) => (
               <ExportCard
-                key={item.name}
+                key={item.id}
                 className={
                   search == "" || filteredExports.includes(item) ? "" : "hidden"
                 }
@@ -219,12 +219,12 @@ function Exports() {
               />
             ))}
           </div>
-        ) : (
+        ) : exports !== undefined ? (
           <div className="absolute left-1/2 top-1/2 flex -translate-x-1/2 -translate-y-1/2 flex-col items-center justify-center text-center">
             <LuFolderX className="size-16" />
             {t("noExports")}
           </div>
-        )}
+        ) : null}
       </div>
     </div>
   );
diff --git a/web/src/pages/FaceLibrary.tsx b/web/src/pages/FaceLibrary.tsx
index fc8e73e3f..8ad6f70e5 100644
--- a/web/src/pages/FaceLibrary.tsx
+++ b/web/src/pages/FaceLibrary.tsx
@@ -5,6 +5,7 @@ import TextEntryDialog from "@/components/overlay/dialog/TextEntryDialog";
 import UploadImageDialog from "@/components/overlay/dialog/UploadImageDialog";
 import FaceSelectionDialog from "@/components/overlay/FaceSelectionDialog";
 import { Button, buttonVariants } from "@/components/ui/button";
+import BlurredIconButton from "@/components/button/BlurredIconButton";
 import {
   AlertDialog,
   AlertDialogAction,
@@ -51,7 +52,7 @@ import {
   useRef,
   useState,
 } from "react";
-import { isDesktop } from "react-device-detect";
+import { isDesktop, isMobileOnly } from "react-device-detect";
 import { Trans, useTranslation } from "react-i18next";
 import {
   LuFolderCheck,
@@ -63,15 +64,14 @@ import {
 } from "react-icons/lu";
 import { toast } from "sonner";
 import useSWR from "swr";
-import SearchDetailDialog, {
-  SearchTab,
-} from "@/components/overlay/detail/SearchDetailDialog";
-import { SearchResult } from "@/types/search";
 import {
   ClassificationCard,
   GroupedClassificationCard,
 } from "@/components/card/ClassificationCard";
-import { ClassificationItemData } from "@/types/classification";
+import {
+  ClassificationItemData,
+  ClassifiedEvent,
+} from "@/types/classification";
 
 export default function FaceLibrary() {
   const { t } = useTranslation(["views/faceLibrary"]);
@@ -373,8 +373,13 @@ export default function FaceLibrary() {
         />
         {selectedFaces?.length > 0 ? (
           <div className="flex items-center justify-center gap-2">
-            <div className="mx-1 flex w-48 items-center justify-center text-sm text-muted-foreground">
-              <div className="p-1">{`${selectedFaces.length} selected`}</div>
+            <div className="mx-1 flex w-auto items-center justify-center text-sm text-muted-foreground">
+              <div className="p-1">
+                {t("selected", {
+                  ns: "views/events",
+                  count: selectedFaces.length,
+                })}
+              </div>
               <div className="p-1">{"|"}</div>
               <div
                 className="cursor-pointer p-2 text-primary hover:rounded-lg hover:bg-secondary"
@@ -382,6 +387,24 @@ export default function FaceLibrary() {
               >
                 {t("button.unselect", { ns: "common" })}
               </div>
+              {selectedFaces.length <
+                (pageToggle === "train"
+                  ? trainImages.length
+                  : faceImages.length) && (
+                <>
+                  <div className="p-1">{"|"}</div>
+                  <div
+                    className="cursor-pointer p-2 text-primary hover:rounded-lg hover:bg-secondary"
+                    onClick={() =>
+                      setSelectedFaces([
+                        ...(pageToggle === "train" ? trainImages : faceImages),
+                      ])
+                    }
+                  >
+                    {t("select_all", { ns: "views/events" })}
+                  </div>
+                </>
+              )}
             </div>
             <Button
               className="flex gap-2"
@@ -480,6 +503,18 @@ function LibrarySelector({
     [renameFace],
   );
 
+  const pageTitle = useMemo(() => {
+    if (pageToggle != "train") {
+      return pageToggle;
+    }
+
+    if (isMobileOnly) {
+      return t("train.titleShort");
+    }
+
+    return t("train.title");
+  }, [pageToggle, t]);
+
   return (
     <>
       <Dialog
@@ -527,10 +562,10 @@ function LibrarySelector({
         regexErrorMessage={t("description.invalidName")}
       />
 
-      <DropdownMenu>
+      <DropdownMenu modal={false}>
         <DropdownMenuTrigger asChild>
           <Button className="flex justify-between smart-capitalize">
-            {pageToggle == "train" ? t("train.title") : pageToggle}
+            {pageTitle}
             <span className="ml-2 text-primary-variant">
               ({(pageToggle && faceData?.[pageToggle]?.length) || 0})
             </span>
@@ -625,7 +660,15 @@ type TrainingGridProps = {
   faceNames: string[];
   selectedFaces: string[];
   onClickFaces: (images: string[], ctrl: boolean) => void;
-  onRefresh: () => void;
+  onRefresh: (
+    data?:
+      | FaceLibraryData
+      | Promise<FaceLibraryData>
+      | ((
+          currentData: FaceLibraryData | undefined,
+        ) => FaceLibraryData | undefined),
+    opts?: boolean | { revalidate?: boolean },
+  ) => Promise<FaceLibraryData | undefined>;
 };
 function TrainingGrid({
   config,
@@ -686,11 +729,6 @@ function TrainingGrid({
     { ids: eventIdsQuery },
   ]);
 
-  // selection
-
-  const [selectedEvent, setSelectedEvent] = useState<Event>();
-  const [dialogTab, setDialogTab] = useState<SearchTab>("details");
-
   if (attemptImages.length == 0) {
     return (
       <div className="absolute left-1/2 top-1/2 flex -translate-x-1/2 -translate-y-1/2 flex-col items-center justify-center text-center">
@@ -701,40 +739,29 @@ function TrainingGrid({
   }
 
   return (
-    <>
-      <SearchDetailDialog
-        search={
-          selectedEvent ? (selectedEvent as unknown as SearchResult) : undefined
-        }
-        page={dialogTab}
-        setSimilarity={undefined}
-        setSearchPage={setDialogTab}
-        setSearch={(search) => setSelectedEvent(search as unknown as Event)}
-        setInputFocused={() => {}}
-      />
-
-      <div
-        ref={contentRef}
-        className="scrollbar-container flex flex-wrap gap-2 overflow-y-scroll p-1"
-      >
-        {Object.entries(faceGroups).map(([key, group]) => {
-          const event = events?.find((ev) => ev.id == key);
-          return (
+    <div
+      ref={contentRef}
+      className={cn(
+        "scrollbar-container grid grid-cols-2 gap-3 overflow-y-scroll p-1 sm:grid-cols-3 md:grid-cols-4 lg:grid-cols-6 xl:grid-cols-8 2xl:grid-cols-10 3xl:grid-cols-12",
+      )}
+    >
+      {Object.entries(faceGroups).map(([key, group]) => {
+        const event = events?.find((ev) => ev.id == key);
+        return (
+          <div key={key} className="aspect-square w-full">
             <FaceAttemptGroup
-              key={key}
               config={config}
               group={group}
               event={event}
               faceNames={faceNames}
               selectedFaces={selectedFaces}
               onClickFaces={onClickFaces}
-              onSelectEvent={setSelectedEvent}
               onRefresh={onRefresh}
             />
-          );
-        })}
-      </div>
-    </>
+          </div>
+        );
+      })}
+    </div>
   );
 }
 
@@ -745,8 +772,15 @@ type FaceAttemptGroupProps = {
   faceNames: string[];
   selectedFaces: string[];
   onClickFaces: (image: string[], ctrl: boolean) => void;
-  onSelectEvent: (event: Event) => void;
-  onRefresh: () => void;
+  onRefresh: (
+    data?:
+      | FaceLibraryData
+      | Promise<FaceLibraryData>
+      | ((
+          currentData: FaceLibraryData | undefined,
+        ) => FaceLibraryData | undefined),
+    opts?: boolean | { revalidate?: boolean },
+  ) => Promise<FaceLibraryData | undefined>;
 };
 function FaceAttemptGroup({
   config,
@@ -755,7 +789,6 @@ function FaceAttemptGroup({
   faceNames,
   selectedFaces,
   onClickFaces,
-  onSelectEvent,
   onRefresh,
 }: FaceAttemptGroupProps) {
   const { t } = useTranslation(["views/faceLibrary", "views/explore"]);
@@ -773,8 +806,8 @@ function FaceAttemptGroup({
 
   const handleClickEvent = useCallback(
     (meta: boolean) => {
-      if (event && selectedFaces.length == 0 && !meta) {
-        onSelectEvent(event);
+      if (!meta) {
+        return;
       } else {
         const anySelected =
           group.find((face) => selectedFaces.includes(face.filename)) !=
@@ -798,7 +831,7 @@ function FaceAttemptGroup({
         }
       }
     },
-    [event, group, selectedFaces, onClickFaces, onSelectEvent],
+    [group, selectedFaces, onClickFaces],
   );
 
   // api calls
@@ -813,6 +846,7 @@ function FaceAttemptGroup({
           if (resp.status == 200) {
             toast.success(t("toast.success.trainedFace"), {
               position: "top-center",
+              closeButton: true,
             });
             onRefresh();
           }
@@ -835,11 +869,44 @@ function FaceAttemptGroup({
       axios
         .post(`/faces/reprocess`, { training_file: data.filename })
         .then((resp) => {
-          if (resp.status == 200) {
-            toast.success(t("toast.success.updatedFaceScore"), {
-              position: "top-center",
-            });
-            onRefresh();
+          if (resp.status == 200 && resp.data?.success) {
+            const { face_name, score } = resp.data;
+            const oldFilename = data.filename;
+            const parts = oldFilename.split("-");
+            const newFilename = `${parts[0]}-${parts[1]}-${parts[2]}-${face_name}-${score}.webp`;
+
+            onRefresh(
+              (currentData: FaceLibraryData | undefined) => {
+                if (!currentData?.train) return currentData;
+
+                return {
+                  ...currentData,
+                  train: currentData.train.map((filename: string) =>
+                    filename === oldFilename ? newFilename : filename,
+                  ),
+                };
+              },
+              { revalidate: true },
+            );
+
+            toast.success(
+              t("toast.success.updatedFaceScore", {
+                name: face_name,
+                score: score.toFixed(2),
+              }),
+              {
+                position: "top-center",
+              },
+            );
+          } else if (resp.data?.success === false) {
+            // Handle case where API returns success: false
+            const errorMessage = resp.data?.message || "Unknown error";
+            toast.error(
+              t("toast.error.updateFaceScoreFailed", { errorMessage }),
+              {
+                position: "top-center",
+              },
+            );
           }
         })
         .catch((error) => {
@@ -858,14 +925,27 @@ function FaceAttemptGroup({
     [onRefresh, t],
   );
 
+  const classifiedEvent: ClassifiedEvent | undefined = useMemo(() => {
+    if (!event) {
+      return undefined;
+    }
+
+    return {
+      id: event.id,
+      label: event.sub_label,
+      score: event.data?.sub_label_score,
+    };
+  }, [event]);
+
   return (
     <GroupedClassificationCard
       group={group}
-      event={event}
+      classifiedEvent={classifiedEvent}
       threshold={threshold}
       selectedItems={selectedFaces}
       i18nLibrary="views/faceLibrary"
       objectType="person"
+      noClassificationLabel="details.unknown"
       onClick={(data) => {
         if (data) {
           onClickFaces([data.filename], true);
@@ -873,7 +953,6 @@ function FaceAttemptGroup({
           handleClickEvent(true);
         }
       }}
-      onSelectEvent={onSelectEvent}
     >
       {(data) => (
         <>
@@ -881,14 +960,15 @@ function FaceAttemptGroup({
             faceNames={faceNames}
             onTrainAttempt={(name) => onTrainAttempt(data, name)}
           >
-            <AddFaceIcon className="size-5 cursor-pointer text-primary-variant hover:text-primary" />
+            <BlurredIconButton>
+              <AddFaceIcon className="size-5" />
+            </BlurredIconButton>
           </FaceSelectionDialog>
           <Tooltip>
-            <TooltipTrigger>
-              <LuRefreshCw
-                className="size-5 cursor-pointer text-primary-variant hover:text-primary"
-                onClick={() => onReprocess(data)}
-              />
+            <TooltipTrigger asChild>
+              <BlurredIconButton onClick={() => onReprocess(data)}>
+                <LuRefreshCw className="size-5" />
+              </BlurredIconButton>
             </TooltipTrigger>
             <TooltipContent>{t("button.reprocessFace")}</TooltipContent>
           </Tooltip>
@@ -934,36 +1014,36 @@ function FaceGrid({
     <div
       ref={contentRef}
       className={cn(
-        "scrollbar-container gap-2 overflow-y-scroll p-1",
-        isDesktop ? "flex flex-wrap" : "grid grid-cols-2 md:grid-cols-4",
+        "scrollbar-container grid grid-cols-2 gap-2 overflow-y-scroll p-1 md:grid-cols-4 xl:grid-cols-8 2xl:grid-cols-10 3xl:grid-cols-12",
       )}
     >
       {sortedFaces.map((image: string) => (
-        <ClassificationCard
-          className="gap-2 rounded-lg bg-card p-2"
-          key={image}
-          data={{
-            name: pageToggle,
-            filename: image,
-            filepath: `clips/faces/${pageToggle}/${image}`,
-          }}
-          selected={selectedFaces.includes(image)}
-          i18nLibrary="views/faceLibrary"
-          onClick={(data, meta) => onClickFaces([data.filename], meta)}
-        >
-          <Tooltip>
-            <TooltipTrigger>
-              <LuTrash2
-                className="size-5 cursor-pointer text-primary-variant hover:text-primary"
-                onClick={(e) => {
-                  e.stopPropagation();
-                  onDelete(pageToggle, [image]);
-                }}
-              />
-            </TooltipTrigger>
-            <TooltipContent>{t("button.deleteFaceAttempts")}</TooltipContent>
-          </Tooltip>
-        </ClassificationCard>
+        <div key={image} className="aspect-square w-full">
+          <ClassificationCard
+            data={{
+              name: pageToggle,
+              filename: image,
+              filepath: `clips/faces/${pageToggle}/${image}`,
+            }}
+            selected={selectedFaces.includes(image)}
+            clickable={selectedFaces.length > 0}
+            i18nLibrary="views/faceLibrary"
+            onClick={(data, meta) => onClickFaces([data.filename], meta)}
+          >
+            <Tooltip>
+              <TooltipTrigger>
+                <LuTrash2
+                  className="size-5 cursor-pointer text-gray-200 hover:text-danger"
+                  onClick={(e) => {
+                    e.stopPropagation();
+                    onDelete(pageToggle, [image]);
+                  }}
+                />
+              </TooltipTrigger>
+              <TooltipContent>{t("button.deleteFaceAttempts")}</TooltipContent>
+            </Tooltip>
+          </ClassificationCard>
+        </div>
       ))}
     </div>
   );
diff --git a/web/src/pages/Live.tsx b/web/src/pages/Live.tsx
index af68fb0e5..1b4bfb33a 100644
--- a/web/src/pages/Live.tsx
+++ b/web/src/pages/Live.tsx
@@ -1,10 +1,7 @@
 import { useFullscreen } from "@/hooks/use-fullscreen";
 import useKeyboardListener from "@/hooks/use-keyboard-listener";
-import {
-  useHashState,
-  usePersistedOverlayState,
-  useSearchEffect,
-} from "@/hooks/use-overlay-state";
+import { useHashState, useSearchEffect } from "@/hooks/use-overlay-state";
+import { useUserPersistedOverlayState } from "@/hooks/use-overlay-state";
 import { FrigateConfig } from "@/types/frigateConfig";
 import LiveBirdseyeView from "@/views/live/LiveBirdseyeView";
 import LiveCameraView from "@/views/live/LiveCameraView";
@@ -14,17 +11,17 @@ import { useTranslation } from "react-i18next";
 import { useEffect, useMemo, useRef } from "react";
 import useSWR from "swr";
 import { useAllowedCameras } from "@/hooks/use-allowed-cameras";
-import { useIsCustomRole } from "@/hooks/use-is-custom-role";
+import { useIsAdmin } from "@/hooks/use-is-admin";
 
 function Live() {
   const { t } = useTranslation(["views/live"]);
   const { data: config } = useSWR<FrigateConfig>("config");
-  const isCustomRole = useIsCustomRole();
+  const isAdmin = useIsAdmin();
 
   // selection
 
   const [selectedCameraName, setSelectedCameraName] = useHashState();
-  const [cameraGroup, setCameraGroup, loaded, ,] = usePersistedOverlayState(
+  const [cameraGroup, setCameraGroup, loaded] = useUserPersistedOverlayState(
     "cameraGroup",
     "default" as string,
   );
@@ -93,19 +90,23 @@ function Live() {
   const allowedCameras = useAllowedCameras();
 
   const includesBirdseye = useMemo(() => {
+    // Restricted users should never have access to birdseye
+    if (!isAdmin) {
+      return false;
+    }
+
     if (
       config &&
       Object.keys(config.camera_groups).length &&
       cameraGroup &&
       config.camera_groups[cameraGroup] &&
-      cameraGroup != "default" &&
-      (!isCustomRole || "birdseye" in allowedCameras)
+      cameraGroup != "default"
     ) {
       return config.camera_groups[cameraGroup].cameras.includes("birdseye");
     } else {
       return false;
     }
-  }, [config, cameraGroup, allowedCameras, isCustomRole]);
+  }, [config, cameraGroup, isAdmin]);
 
   const cameras = useMemo(() => {
     if (!config) {
@@ -133,10 +134,20 @@ function Live() {
       .sort((aConf, bConf) => aConf.ui.order - bConf.ui.order);
   }, [config, cameraGroup, allowedCameras]);
 
-  const selectedCamera = useMemo(
-    () => cameras.find((cam) => cam.name == selectedCameraName),
-    [cameras, selectedCameraName],
-  );
+  const selectedCamera = useMemo(() => {
+    if (!config || !selectedCameraName || selectedCameraName === "birdseye") {
+      return undefined;
+    }
+    const camera = config.cameras[selectedCameraName];
+    if (
+      camera &&
+      allowedCameras.includes(selectedCameraName) &&
+      camera.enabled_in_config
+    ) {
+      return camera;
+    }
+    return undefined;
+  }, [config, selectedCameraName, allowedCameras]);
 
   return (
     <div className="size-full" ref={mainRef}>
@@ -145,6 +156,7 @@ function Live() {
           supportsFullscreen={supportsFullScreen}
           fullscreen={fullscreen}
           toggleFullscreen={toggleFullscreen}
+          onSelectCamera={setSelectedCameraName}
         />
       ) : selectedCamera ? (
         <LiveCameraView
diff --git a/web/src/pages/Settings.tsx b/web/src/pages/Settings.tsx
index a4a9a17d5..1d44125cb 100644
--- a/web/src/pages/Settings.tsx
+++ b/web/src/pages/Settings.tsx
@@ -26,7 +26,8 @@ import useSWR from "swr";
 import FilterSwitch from "@/components/filter/FilterSwitch";
 import { ZoneMaskFilterButton } from "@/components/filter/ZoneMaskFilter";
 import { PolygonType } from "@/types/canvas";
-import CameraSettingsView from "@/views/settings/CameraSettingsView";
+import CameraReviewSettingsView from "@/views/settings/CameraReviewSettingsView";
+import CameraManagementView from "@/views/settings/CameraManagementView";
 import MotionTunerView from "@/views/settings/MotionTunerView";
 import MasksAndZonesView from "@/views/settings/MasksAndZonesView";
 import UsersView from "@/views/settings/UsersView";
@@ -41,7 +42,7 @@ import { useInitialCameraState } from "@/api/ws";
 import { useIsAdmin } from "@/hooks/use-is-admin";
 import { useTranslation } from "react-i18next";
 import TriggerView from "@/views/settings/TriggerView";
-import { CameraNameLabel } from "@/components/camera/CameraNameLabel";
+import { CameraNameLabel } from "@/components/camera/FriendlyNameLabel";
 import {
   Sidebar,
   SidebarContent,
@@ -70,7 +71,8 @@ import {
 const allSettingsViews = [
   "ui",
   "enrichments",
-  "cameras",
+  "cameraManagement",
+  "cameraReview",
   "masksAndZones",
   "motionTuner",
   "triggers",
@@ -90,7 +92,8 @@ const settingsGroups = [
   {
     label: "cameras",
     items: [
-      { key: "cameras", component: CameraSettingsView },
+      { key: "cameraManagement", component: CameraManagementView },
+      { key: "cameraReview", component: CameraReviewSettingsView },
       { key: "masksAndZones", component: MasksAndZonesView },
       { key: "motionTuner", component: MotionTunerView },
     ],
@@ -119,6 +122,16 @@ const settingsGroups = [
   },
 ];
 
+const CAMERA_SELECT_BUTTON_PAGES = [
+  "debug",
+  "cameraReview",
+  "masksAndZones",
+  "motionTuner",
+  "triggers",
+];
+
+const ALLOWED_VIEWS_FOR_VIEWER = ["ui", "debug", "notifications"];
+
 const getCurrentComponent = (page: SettingsType) => {
   for (const group of settingsGroups) {
     for (const item of group.items) {
@@ -144,9 +157,11 @@ function MobileMenuItem({
   const { t } = useTranslation(["views/settings"]);
 
   return (
-    <Button
-      variant="ghost"
-      className={cn("w-full justify-between pr-2", className)}
+    <div
+      className={cn(
+        "inline-flex h-10 w-full cursor-pointer items-center justify-between whitespace-nowrap rounded-md px-4 py-2 pr-2 text-sm font-medium text-primary-variant disabled:pointer-events-none disabled:opacity-50",
+        className,
+      )}
       onClick={() => {
         onSelect(item.key);
         onClose?.();
@@ -154,7 +169,7 @@ function MobileMenuItem({
     >
       <div className="smart-capitalize">{t("menu." + item.key)}</div>
       <LuChevronRight className="size-4" />
-    </Button>
+    </div>
   );
 }
 
@@ -172,13 +187,8 @@ export default function Settings() {
 
   const isAdmin = useIsAdmin();
 
-  const allowedViewsForViewer: SettingsType[] = [
-    "ui",
-    "debug",
-    "notifications",
-  ];
   const visibleSettingsViews = !isAdmin
-    ? allowedViewsForViewer
+    ? ALLOWED_VIEWS_FOR_VIEWER
     : allSettingsViews;
 
   // TODO: confirm leave page
@@ -242,7 +252,7 @@ export default function Settings() {
         setSelectedCamera(firstEnabledCamera.name);
       } else if (
         !cameraEnabledStates[selectedCamera] &&
-        pageToggle !== "cameras"
+        pageToggle !== "cameraReview"
       ) {
         // Switch to first enabled camera if current one is disabled, unless on "camera settings" page
         const firstEnabledCamera =
@@ -257,11 +267,17 @@ export default function Settings() {
   useSearchEffect("page", (page: string) => {
     if (allSettingsViews.includes(page as SettingsType)) {
       // Restrict viewer to UI settings
-      if (!isAdmin && !allowedViewsForViewer.includes(page as SettingsType)) {
+      if (
+        !isAdmin &&
+        !ALLOWED_VIEWS_FOR_VIEWER.includes(page as SettingsType)
+      ) {
         setPageToggle("ui");
       } else {
         setPageToggle(page as SettingsType);
       }
+      if (isMobile) {
+        setContentMobileOpen(true);
+      }
     }
     // don't clear url params if we're creating a new object mask
     return !(searchParams.has("object_mask") || searchParams.has("event_id"));
@@ -271,6 +287,9 @@ export default function Settings() {
     const cameraNames = cameras.map((c) => c.name);
     if (cameraNames.includes(camera)) {
       setSelectedCamera(camera);
+      if (isMobile) {
+        setContentMobileOpen(true);
+      }
     }
     // don't clear url params if we're creating a new object mask or trigger
     return !(searchParams.has("object_mask") || searchParams.has("event_id"));
@@ -321,7 +340,9 @@ export default function Settings() {
                         onSelect={(key) => {
                           if (
                             !isAdmin &&
-                            !allowedViewsForViewer.includes(key as SettingsType)
+                            !ALLOWED_VIEWS_FOR_VIEWER.includes(
+                              key as SettingsType,
+                            )
                           ) {
                             setPageToggle("ui");
                           } else {
@@ -348,13 +369,7 @@ export default function Settings() {
               className="top-0 mb-0"
               onClose={() => navigate(-1)}
               actions={
-                [
-                  "debug",
-                  "cameras",
-                  "masksAndZones",
-                  "motionTuner",
-                  "triggers",
-                ].includes(pageToggle) ? (
+                CAMERA_SELECT_BUTTON_PAGES.includes(pageToggle) ? (
                   <div className="flex items-center gap-2">
                     {pageToggle == "masksAndZones" && (
                       <ZoneMaskFilterButton
@@ -422,17 +437,11 @@ export default function Settings() {
 
   return (
     <div className="flex h-full flex-col">
-      <div className="flex items-center justify-between border-b border-secondary p-3">
+      <div className="flex min-h-16 items-center justify-between border-b border-secondary p-3">
         <Heading as="h3" className="mb-0">
           {t("menu.settings", { ns: "common" })}
         </Heading>
-        {[
-          "debug",
-          "cameras",
-          "masksAndZones",
-          "motionTuner",
-          "triggers",
-        ].includes(page) && (
+        {CAMERA_SELECT_BUTTON_PAGES.includes(page) && (
           <div className="flex items-center gap-2">
             {pageToggle == "masksAndZones" && (
               <ZoneMaskFilterButton
@@ -452,7 +461,7 @@ export default function Settings() {
       </div>
       <SidebarProvider>
         <Sidebar variant="inset" className="relative mb-8 pl-0 pt-0">
-          <SidebarContent className="scrollbar-container mb-20 overflow-y-auto border-r-[1px] border-secondary bg-background py-2">
+          <SidebarContent className="scrollbar-container mb-24 overflow-y-auto border-r-[1px] border-secondary bg-background py-2">
             <SidebarMenu>
               {settingsGroups.map((group) => {
                 const filteredItems = group.items.filter((item) =>
@@ -470,7 +479,7 @@ export default function Settings() {
                             onClick={() => {
                               if (
                                 !isAdmin &&
-                                !allowedViewsForViewer.includes(
+                                !ALLOWED_VIEWS_FOR_VIEWER.includes(
                                   filteredItems[0].key as SettingsType,
                                 )
                               ) {
@@ -512,7 +521,7 @@ export default function Settings() {
                                 onClick={() => {
                                   if (
                                     !isAdmin &&
-                                    !allowedViewsForViewer.includes(
+                                    !ALLOWED_VIEWS_FOR_VIEWER.includes(
                                       item.key as SettingsType,
                                     )
                                   ) {
@@ -538,7 +547,7 @@ export default function Settings() {
           </SidebarContent>
         </Sidebar>
         <SidebarInset>
-          <div className="flex-1 overflow-auto p-2 pr-0">
+          <div className="scrollbar-container mb-24 flex-1 overflow-y-auto p-2 pr-0">
             {(() => {
               const CurrentComponent = getCurrentComponent(page);
               if (!CurrentComponent) return null;
@@ -635,13 +644,13 @@ function CameraSelectButton({
         <div className="flex flex-col gap-2.5">
           {allCameras.map((item) => {
             const isEnabled = cameraEnabledStates[item.name];
-            const isCameraSettingsPage = currentPage === "cameras";
+            const isCameraSettingsPage = currentPage === "cameraReview";
             return (
               <FilterSwitch
                 key={item.name}
                 isChecked={item.name === selectedCamera}
                 label={item.name}
-                isCameraName={true}
+                type={"camera"}
                 onCheckedChange={(isChecked) => {
                   if (isChecked && (isEnabled || isCameraSettingsPage)) {
                     setSelectedCamera(item.name);
diff --git a/web/src/pages/UIPlayground.tsx b/web/src/pages/UIPlayground.tsx
index 95599d594..f17a7d700 100644
--- a/web/src/pages/UIPlayground.tsx
+++ b/web/src/pages/UIPlayground.tsx
@@ -9,6 +9,7 @@ import {
   ReviewData,
   ReviewSegment,
   ReviewSeverity,
+  ZoomLevel,
 } from "@/types/review";
 import { Button } from "@/components/ui/button";
 import CameraActivityIndicator from "@/components/indicators/CameraActivityIndicator";
@@ -180,7 +181,7 @@ function UIPlayground() {
     timestampSpread: 15,
   });
 
-  const possibleZoomLevels = useMemo(
+  const possibleZoomLevels: ZoomLevel[] = useMemo(
     () => [
       { segmentDuration: 60, timestampSpread: 15 },
       { segmentDuration: 30, timestampSpread: 5 },
@@ -196,6 +197,14 @@ function UIPlayground() {
     [possibleZoomLevels],
   );
 
+  const currentZoomLevel = useMemo(
+    () =>
+      possibleZoomLevels.findIndex(
+        (level) => level.segmentDuration === zoomSettings.segmentDuration,
+      ),
+    [possibleZoomLevels, zoomSettings.segmentDuration],
+  );
+
   const { zoomLevel, handleZoom, isZooming, zoomDirection } = useTimelineZoom({
     zoomSettings,
     zoomLevels: possibleZoomLevels,
@@ -414,6 +423,9 @@ function UIPlayground() {
                 dense={isMobile} // dense will produce a smaller handlebar and only minute resolution on timestamps
                 isZooming={isZooming} // is the timeline actively zooming?
                 zoomDirection={zoomDirection} // is the timeline zooming in or out
+                onZoomChange={handleZoomChange}
+                possibleZoomLevels={possibleZoomLevels}
+                currentZoomLevel={currentZoomLevel}
               />
             )}
             {isEventsReviewTimeline && (
@@ -441,6 +453,9 @@ function UIPlayground() {
                 dense // dense will produce a smaller handlebar and only minute resolution on timestamps
                 isZooming={isZooming} // is the timeline actively zooming?
                 zoomDirection={zoomDirection} // is the timeline zooming in or out
+                onZoomChange={handleZoomChange}
+                possibleZoomLevels={possibleZoomLevels}
+                currentZoomLevel={currentZoomLevel}
               />
             )}
           </div>
diff --git a/web/src/types/cameraWizard.ts b/web/src/types/cameraWizard.ts
new file mode 100644
index 000000000..4048303cb
--- /dev/null
+++ b/web/src/types/cameraWizard.ts
@@ -0,0 +1,204 @@
+// Camera Wizard Types
+export const CAMERA_BRANDS = [
+  {
+    value: "dahua" as const,
+    label: "Dahua / Amcrest / EmpireTech",
+    template:
+      "rtsp://{username}:{password}@{host}:554/cam/realmonitor?channel=1&subtype=0",
+    exampleUrl:
+      "rtsp://admin:password@192.168.1.100:554/cam/realmonitor?channel=1&subtype=0",
+    dynamicTemplates: undefined,
+  },
+  {
+    value: "hikvision" as const,
+    label: "Hikvision / Uniview / Annke",
+    template: "rtsp://{username}:{password}@{host}:554/Streaming/Channels/101",
+    exampleUrl:
+      "rtsp://admin:password@192.168.1.100:554/Streaming/Channels/101",
+    dynamicTemplates: undefined,
+  },
+  {
+    value: "ubiquiti" as const,
+    label: "Ubiquiti",
+    template: "rtsp://{username}:{password}@{host}:554/live/ch0",
+    exampleUrl: "rtsp://ubnt:password@192.168.1.100:554/live/ch0",
+    dynamicTemplates: undefined,
+  },
+  {
+    value: "reolink" as const,
+    label: "Reolink",
+    template: "dynamic",
+    dynamicTemplates: {
+      "http-flv":
+        "http://{host}/flv?port=1935&app=bcs&stream=channel0_main.bcs&user={username}&password={password}",
+      rtsp: "rtsp://{username}:{password}@{host}:554/Preview_01_main",
+    },
+    exampleUrl:
+      "http://192.168.1.100/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=admin&password=password or rtsp://admin:password@192.168.1.100:554/Preview_01_main",
+  },
+  {
+    value: "axis" as const,
+    label: "Axis",
+    template: "rtsp://{username}:{password}@{host}:554/axis-media/media.amp",
+    exampleUrl: "rtsp://root:password@192.168.1.100:554/axis-media/media.amp",
+    dynamicTemplates: undefined,
+  },
+  {
+    value: "tplink" as const,
+    label: "TP-Link",
+    template: "rtsp://{username}:{password}@{host}:554/stream1",
+    exampleUrl: "rtsp://admin:password@192.168.1.100:554/stream1",
+    dynamicTemplates: undefined,
+  },
+  {
+    value: "foscam" as const,
+    label: "Foscam",
+    template: "rtsp://{username}:{password}@{host}:88/videoMain",
+    exampleUrl: "rtsp://admin:password@192.168.1.100:88/videoMain",
+    dynamicTemplates: undefined,
+  },
+  {
+    value: "other" as const,
+    label: "Other",
+    template: "",
+    exampleUrl: "rtsp://username:password@host:port/path",
+    dynamicTemplates: undefined,
+  },
+] as const;
+
+export const CAMERA_BRAND_VALUES = CAMERA_BRANDS.map(
+  (brand) => brand.value,
+) as unknown as [
+  (typeof CAMERA_BRANDS)[number]["value"],
+  ...(typeof CAMERA_BRANDS)[number]["value"][],
+];
+
+export type CameraBrand = (typeof CAMERA_BRANDS)[number]["value"];
+
+export type StreamRole = "detect" | "record" | "audio";
+
+export type StreamConfig = {
+  id: string;
+  url: string;
+  roles: StreamRole[];
+  resolution?: string;
+  quality?: string;
+  testResult?: TestResult;
+  userTested?: boolean;
+  useFfmpeg?: boolean;
+  restream?: boolean;
+};
+
+export type TestResult = {
+  success: boolean;
+  snapshot?: string; // base64 image
+  resolution?: string;
+  videoCodec?: string;
+  audioCodec?: string;
+  fps?: number;
+  error?: string;
+};
+
+export type CandidateTestMap = Record<
+  string,
+  TestResult | { success: false; error: string }
+>;
+
+export type WizardFormData = {
+  cameraName?: string;
+  host?: string;
+  username?: string;
+  password?: string;
+  brandTemplate?: CameraBrand;
+  customUrl?: string;
+  streams?: StreamConfig[];
+  probeMode?: boolean; // true for probe, false for manual
+  onvifPort?: number;
+  useDigestAuth?: boolean;
+  probeResult?: OnvifProbeResponse;
+  probeCandidates?: string[]; // candidate URLs from probe
+  candidateTests?: CandidateTestMap; // test results for candidates
+  hasBackchannel?: boolean; // true if camera supports backchannel audio
+};
+
+// API Response Types
+export type FfprobeResponse = {
+  return_code: number;
+  stderr: string | string[];
+  stdout: FfprobeData | string;
+};
+
+export type FfprobeData = {
+  streams: FfprobeStream[];
+};
+
+export type FfprobeStream = {
+  index?: number;
+  codec_name?: string;
+  codec_long_name?: string;
+  codec_type?: "video" | "audio";
+  profile?: string;
+  width?: number;
+  height?: number;
+  pix_fmt?: string;
+  level?: number;
+  r_frame_rate?: string;
+  avg_frame_rate?: string;
+  sample_rate?: string;
+  channels?: number;
+  channel_layout?: string;
+};
+
+// Config API Types
+export type CameraConfigData = {
+  cameras: {
+    [cameraName: string]: {
+      enabled: boolean;
+      friendly_name?: string;
+      ffmpeg: {
+        inputs: {
+          path: string;
+          roles: string[];
+          input_args?: string;
+        }[];
+      };
+      live?: {
+        streams: Record<string, string>;
+      };
+    };
+  };
+  go2rtc?: {
+    streams: {
+      [streamName: string]: string[];
+    };
+  };
+};
+
+export type ConfigSetBody = {
+  requires_restart: number;
+  config_data: CameraConfigData;
+  update_topic?: string;
+};
+
+export type OnvifRtspCandidate = {
+  source: "GetStreamUri" | "pattern";
+  profile_token?: string;
+  uri: string;
+};
+
+export type OnvifProbeResponse = {
+  success: boolean;
+  host?: string;
+  port?: number;
+  manufacturer?: string;
+  model?: string;
+  firmware_version?: string;
+  profiles_count?: number;
+  ptz_supported?: boolean;
+  presets_count?: number;
+  autotrack_supported?: boolean;
+  move_status_supported?: boolean;
+  rtsp_candidates?: OnvifRtspCandidate[];
+  message?: string;
+  detail?: string;
+};
diff --git a/web/src/types/canvas.ts b/web/src/types/canvas.ts
index 9c1748ce0..a70238834 100644
--- a/web/src/types/canvas.ts
+++ b/web/src/types/canvas.ts
@@ -11,10 +11,12 @@ export type Polygon = {
   distances: number[];
   isFinished: boolean;
   color: number[];
+  friendly_name?: string;
 };
 
 export type ZoneFormValuesType = {
   name: string;
+  friendly_name: string;
   inertia: number;
   loitering_time: number;
   isFinished: boolean;
diff --git a/web/src/types/card.ts b/web/src/types/card.ts
new file mode 100644
index 000000000..9e1da1632
--- /dev/null
+++ b/web/src/types/card.ts
@@ -0,0 +1,4 @@
+export type EmptyCardData = {
+  title: string;
+  description?: string;
+};
diff --git a/web/src/types/classification.ts b/web/src/types/classification.ts
index 092021342..9829c6697 100644
--- a/web/src/types/classification.ts
+++ b/web/src/types/classification.ts
@@ -20,3 +20,23 @@ export type ClassificationThreshold = {
   recognition: number;
   unknown: number;
 };
+
+export type ClassifiedEvent = {
+  id: string;
+  label?: string;
+  score?: number;
+};
+
+export type ClassificationDatasetResponse = {
+  categories: {
+    [id: string]: string[];
+  };
+  training_metadata: {
+    has_trained: boolean;
+    last_training_date: string | null;
+    last_training_image_count: number;
+    current_image_count: number;
+    new_images_count: number;
+    dataset_changed: boolean;
+  } | null;
+};
diff --git a/web/src/types/event.ts b/web/src/types/event.ts
index d7c8ca665..502bff8b6 100644
--- a/web/src/types/event.ts
+++ b/web/src/types/event.ts
@@ -22,6 +22,14 @@ export interface Event {
     area: number;
     ratio: number;
     type: "object" | "audio" | "manual";
+    recognized_license_plate?: string;
     path_data: [number[], number][];
+    // Allow arbitrary keys for attributes (e.g., model_name, model_name_score)
+    [key: string]:
+      | number
+      | number[]
+      | string
+      | [number[], number][]
+      | undefined;
   };
 }
diff --git a/web/src/types/frigateConfig.ts b/web/src/types/frigateConfig.ts
index f82ca9838..94c9ba6e9 100644
--- a/web/src/types/frigateConfig.ts
+++ b/web/src/types/frigateConfig.ts
@@ -6,7 +6,6 @@ export interface UiConfig {
   time_format?: "browser" | "12hour" | "24hour";
   date_style?: "full" | "long" | "medium" | "short";
   time_style?: "full" | "long" | "medium" | "short";
-  strftime_fmt?: string;
   dashboard: boolean;
   order: number;
   unit_system?: "metric" | "imperial";
@@ -280,6 +279,7 @@ export interface CameraConfig {
       speed_threshold: number;
       objects: string[];
       color: number[];
+      friendly_name?: string;
     };
   };
 }
@@ -304,10 +304,12 @@ export type CustomClassificationModelConfig = {
   enabled: boolean;
   name: string;
   threshold: number;
-  object_config: null | {
+  save_attempts?: number;
+  object_config?: {
     objects: string[];
+    classification_type: string;
   };
-  state_config: null | {
+  state_config?: {
     cameras: {
       [cameraName: string]: {
         crop: [number, number, number, number];
diff --git a/web/src/types/record.ts b/web/src/types/record.ts
index a93029376..dbe43653a 100644
--- a/web/src/types/record.ts
+++ b/web/src/types/record.ts
@@ -1,4 +1,5 @@
 import { ReviewSeverity } from "./review";
+import { TimelineType } from "./timeline";
 
 export type Recording = {
   id: string;
@@ -37,9 +38,11 @@ export type RecordingStartingPoint = {
   camera: string;
   startTime: number;
   severity: ReviewSeverity;
+  timelineType?: TimelineType;
 };
 
 export type RecordingPlayerError = "stalled" | "startup";
 
 export const ASPECT_VERTICAL_LAYOUT = 1.5;
+export const ASPECT_PORTRAIT_LAYOUT = 1.333;
 export const ASPECT_WIDE_LAYOUT = 2;
diff --git a/web/src/types/review.ts b/web/src/types/review.ts
index cd1aefff5..4e7b22334 100644
--- a/web/src/types/review.ts
+++ b/web/src/types/review.ts
@@ -81,7 +81,19 @@ export type ConsolidatedSegmentData = {
 
 export type TimelineZoomDirection = "in" | "out" | null;
 
+export type ZoomLevel = {
+  segmentDuration: number;
+  timestampSpread: number;
+};
+
 export enum ThreatLevel {
-  SUSPICIOUS = 1,
-  DANGER = 2,
+  NORMAL = 0,
+  NEEDS_REVIEW = 1,
+  SECURITY_CONCERN = 2,
 }
+
+export const THREAT_LEVEL_LABELS: Record<ThreatLevel, string> = {
+  [ThreatLevel.NORMAL]: "Normal",
+  [ThreatLevel.NEEDS_REVIEW]: "Needs review",
+  [ThreatLevel.SECURITY_CONCERN]: "Security concern",
+};
diff --git a/web/src/types/search.ts b/web/src/types/search.ts
index 2a57385f7..d47e95584 100644
--- a/web/src/types/search.ts
+++ b/web/src/types/search.ts
@@ -5,6 +5,7 @@ const SEARCH_FILTERS = [
   "general",
   "zone",
   "sub",
+  "attribute",
   "source",
   "sort",
 ] as const;
@@ -16,6 +17,7 @@ export const DEFAULT_SEARCH_FILTERS: SearchFilters[] = [
   "general",
   "zone",
   "sub",
+  "attribute",
   "source",
   "sort",
 ];
@@ -29,6 +31,8 @@ export type SearchSortType =
   | "score_desc"
   | "relevance";
 
+export type EventType = "object" | "audio" | "manual";
+
 export type SearchResult = {
   id: string;
   camera: string;
@@ -54,7 +58,7 @@ export type SearchResult = {
     box: number[];
     area: number;
     ratio: number;
-    type: "object" | "audio" | "manual";
+    type: EventType;
     description?: string;
     average_estimated_speed: number;
     velocity_angle: number;
@@ -69,6 +73,7 @@ export type SearchFilter = {
   cameras?: string[];
   labels?: string[];
   sub_labels?: string[];
+  attributes?: string[];
   recognized_license_plate?: string[];
   zones?: string[];
   before?: number;
@@ -93,6 +98,7 @@ export type SearchQueryParams = {
   cameras?: string[];
   labels?: string[];
   sub_labels?: string[];
+  attributes?: string[];
   recognized_license_plate?: string[];
   zones?: string[];
   before?: string;
diff --git a/web/src/types/timeline.ts b/web/src/types/timeline.ts
index 45a0821ed..0de067406 100644
--- a/web/src/types/timeline.ts
+++ b/web/src/types/timeline.ts
@@ -10,17 +10,20 @@ export enum LifecycleClassType {
   PATH_POINT = "path_point",
 }
 
-export type ObjectLifecycleSequence = {
+export type TrackingDetailsSequence = {
   camera: string;
   timestamp: number;
   data: {
     camera: string;
     label: string;
+    score: number;
     sub_label: string;
     box?: [number, number, number, number];
     region: [number, number, number, number];
     attribute: string;
+    attribute_box?: [number, number, number, number];
     zones: string[];
+    zones_friendly_names?: string[];
   };
   class_type: LifecycleClassType;
   source_id: string;
@@ -29,7 +32,7 @@ export type ObjectLifecycleSequence = {
 
 export type TimeRange = { before: number; after: number };
 
-export type TimelineType = "timeline" | "events";
+export type TimelineType = "timeline" | "events" | "detail";
 
 export type TimelineScrubMode = "auto" | "drag" | "hover" | "compat";
 
@@ -37,5 +40,5 @@ export type Position = {
   x: number;
   y: number;
   timestamp: number;
-  lifecycle_item?: ObjectLifecycleSequence;
+  lifecycle_item?: TrackingDetailsSequence;
 };
diff --git a/web/src/types/trigger.ts b/web/src/types/trigger.ts
index f2874878e..acf58da76 100644
--- a/web/src/types/trigger.ts
+++ b/web/src/types/trigger.ts
@@ -1,5 +1,5 @@
 export type TriggerType = "thumbnail" | "description";
-export type TriggerAction = "notification";
+export type TriggerAction = "notification" | "sub_label" | "attribute";
 
 export type Trigger = {
   enabled: boolean;
diff --git a/web/src/types/ws.ts b/web/src/types/ws.ts
index 1120aec67..1d98b7b01 100644
--- a/web/src/types/ws.ts
+++ b/web/src/types/ws.ts
@@ -87,7 +87,8 @@ export type ModelState =
   | "downloaded"
   | "error"
   | "training"
-  | "complete";
+  | "complete"
+  | "failed";
 
 export type EmbeddingsReindexProgressType = {
   thumbnails: number;
diff --git a/web/src/utils/cameraUtil.ts b/web/src/utils/cameraUtil.ts
new file mode 100644
index 000000000..543605ad0
--- /dev/null
+++ b/web/src/utils/cameraUtil.ts
@@ -0,0 +1,150 @@
+import { baseUrl } from "@/api/baseUrl";
+import { generateFixedHash, isValidId } from "./stringUtil";
+import type { LiveStreamMetadata } from "@/types/live";
+
+/**
+ * Processes a user-entered camera name and returns both the final camera name
+ * and friendly name for Frigate configuration.
+ *
+ * @param userInput - The name entered by the user (could be display name)
+ * @returns Object with finalCameraName and friendlyName
+ */
+export function processCameraName(userInput: string): {
+  finalCameraName: string;
+  friendlyName?: string;
+} {
+  const normalizedInput = userInput.replace(/\s+/g, "_").toLowerCase();
+
+  if (isValidId(normalizedInput)) {
+    return {
+      finalCameraName: normalizedInput,
+      friendlyName: userInput.includes(" ") ? userInput : undefined,
+    };
+  }
+
+  return {
+    finalCameraName: generateFixedHash(userInput, "cam"),
+    friendlyName: userInput,
+  };
+}
+
+/**
+ * Detect Reolink camera capabilities and recommend optimal protocol
+ *
+ * Calls the Frigate backend API which queries the Reolink camera to determine
+ * its resolution and recommends either http-flv (for 5MP and below) or rtsp
+ * (for higher resolutions).
+ *
+ * @param host - Camera IP address or hostname
+ * @param username - Camera username
+ * @param password - Camera password
+ * @returns The recommended protocol key ("http-flv" or "rtsp"), or null if detection failed
+ */
+export async function detectReolinkCamera(
+  host: string,
+  username: string,
+  password: string,
+): Promise<"http-flv" | "rtsp" | null> {
+  try {
+    const params = new URLSearchParams({
+      host,
+      username,
+      password,
+    });
+
+    const response = await fetch(
+      `${baseUrl}api/reolink/detect?${params.toString()}`,
+      {
+        method: "GET",
+      },
+    );
+
+    if (!response.ok) {
+      return null;
+    }
+
+    const data = await response.json();
+
+    if (data.success && data.protocol) {
+      return data.protocol;
+    }
+
+    return null;
+  } catch (error) {
+    return null;
+  }
+}
+
+/**
+ * Mask credentials in RTSP URIs for display
+ */
+export function maskUri(uri: string): string {
+  try {
+    // Handle RTSP URLs with user:pass@host format
+    // Use greedy match for password to handle passwords with @
+    const rtspMatch = uri.match(/rtsp:\/\/([^:]+):(.+)@(.+)/);
+    if (rtspMatch) {
+      return `rtsp://${rtspMatch[1]}:${"*".repeat(4)}@${rtspMatch[3]}`;
+    }
+
+    // Handle HTTP/HTTPS URLs with password query parameter
+    const urlObj = new URL(uri);
+    if (urlObj.searchParams.has("password")) {
+      urlObj.searchParams.set("password", "*".repeat(4));
+      return urlObj.toString();
+    }
+  } catch (e) {
+    // ignore
+  }
+  return uri;
+}
+
+/**
+ * Represents the audio features supported by a camera stream
+ */
+export type CameraAudioFeatures = {
+  twoWayAudio: boolean;
+  audioOutput: boolean;
+};
+
+/**
+ * Detects camera audio features from go2rtc stream metadata.
+ * Checks for two-way audio (backchannel) and audio output capabilities.
+ *
+ * @param metadata - The LiveStreamMetadata from go2rtc stream
+ * @param requireSecureContext - If true, two-way audio requires secure context (default: true)
+ * @returns CameraAudioFeatures object with detected capabilities
+ */
+export function detectCameraAudioFeatures(
+  metadata: LiveStreamMetadata | null | undefined,
+  requireSecureContext: boolean = true,
+): CameraAudioFeatures {
+  if (!metadata) {
+    return {
+      twoWayAudio: false,
+      audioOutput: false,
+    };
+  }
+
+  const twoWayAudio =
+    (!requireSecureContext || window.isSecureContext) &&
+    metadata.producers.find(
+      (prod) =>
+        prod.medias &&
+        prod.medias.find((media) => media.includes("audio, sendonly")) !=
+          undefined,
+    ) != undefined;
+
+  const audioOutput =
+    metadata.producers.find(
+      (prod) =>
+        prod.medias &&
+        prod.medias.find((media) => media.includes("audio, recvonly")) !=
+          undefined,
+    ) != undefined;
+
+  return {
+    twoWayAudio: !!twoWayAudio,
+    audioOutput: !!audioOutput,
+  };
+}
diff --git a/web/src/utils/dateUtil.ts b/web/src/utils/dateUtil.ts
index 8b1ef2ff4..cc541214c 100644
--- a/web/src/utils/dateUtil.ts
+++ b/web/src/utils/dateUtil.ts
@@ -1,6 +1,7 @@
 import { fromUnixTime, intervalToDuration, formatDuration } from "date-fns";
-import { Locale } from "date-fns/locale";
+import { enUS, Locale } from "date-fns/locale";
 import { formatInTimeZone } from "date-fns-tz";
+import i18n from "@/utils/i18n";
 export const longToDate = (long: number): Date => new Date(long * 1000);
 export const epochToLong = (date: number): number => date / 1000;
 export const dateToLong = (date: Date): number => epochToLong(date.getTime());
@@ -164,7 +165,7 @@ export const formatUnixTimestampToDateTime = (
       // Uppercase AM/PM for 12-hour formats
       if (date_format.includes("a") || date_format.includes("aaa")) {
         formatted = formatted.replace(/am|pm/gi, (match) =>
-          match.toUpperCase(),
+          i18n.t(`time.${match.toLowerCase()}`, { ns: "common" }).toUpperCase(),
         );
       }
       return formatted;
@@ -216,7 +217,7 @@ export const formatUnixTimestampToDateTime = (
       // Uppercase AM/PM in fallback
       if (options.hour12) {
         fallbackFormatted = fallbackFormatted.replace(/am|pm/gi, (match) =>
-          match.toUpperCase(),
+          i18n.t(`time.${match.toLowerCase()}`, { ns: "common" }).toUpperCase(),
         );
       }
       return fallbackFormatted;
@@ -234,28 +235,57 @@ export const formatUnixTimestampToDateTime = (
  * If end time is not provided, it returns 'In Progress'
  * @param start_time: number - Unix timestamp for start time
  * @param end_time: number|null - Unix timestamp for end time
+ * @param abbreviated: boolean - Whether to use abbreviated forms (h, m, s) instead of full words
  * @returns string - duration or 'In Progress' if end time is not provided
  */
 export const getDurationFromTimestamps = (
   start_time: number,
   end_time: number | null,
+  abbreviated: boolean = false,
 ): string => {
   if (isNaN(start_time)) {
-    return "Invalid start time";
+    return i18n.t("time.invalidStartTime", { ns: "common" });
   }
-  let duration = "In Progress";
+  let duration = i18n.t("time.inProgress", { ns: "common" });
   if (end_time !== null) {
     if (isNaN(end_time)) {
-      return "Invalid end time";
+      return i18n.t("time.invalidEndTime", { ns: "common" });
     }
     const start = fromUnixTime(start_time);
     const end = fromUnixTime(end_time);
-    duration = formatDuration(intervalToDuration({ start, end }), {
-      format: ["hours", "minutes", "seconds"],
-    })
-      .replace("hours", "h")
-      .replace("minutes", "m")
-      .replace("seconds", "s");
+    const durationObj = intervalToDuration({ start, end });
+
+    // Build duration string using i18n keys or abbreviations
+    const parts: string[] = [];
+    if (durationObj.hours) {
+      const count = durationObj.hours;
+      if (abbreviated) {
+        parts.push(`${count}h`);
+      } else {
+        const key = count === 1 ? "hour_one" : "hour_other";
+        parts.push(i18n.t(`time.${key}`, { time: count, ns: "common" }));
+      }
+    }
+    if (durationObj.minutes) {
+      const count = durationObj.minutes;
+      if (abbreviated) {
+        parts.push(`${count}m`);
+      } else {
+        const key = count === 1 ? "minute_one" : "minute_other";
+        parts.push(i18n.t(`time.${key}`, { time: count, ns: "common" }));
+      }
+    }
+    if (durationObj.seconds) {
+      const count = durationObj.seconds;
+      if (abbreviated) {
+        parts.push(`${count}s`);
+      } else {
+        const key = count === 1 ? "second_one" : "second_other";
+        parts.push(i18n.t(`time.${key}`, { time: count, ns: "common" }));
+      }
+    }
+
+    duration = parts.join(" ");
   }
   return duration;
 };
@@ -263,9 +293,13 @@ export const getDurationFromTimestamps = (
 /**
  *
  * @param seconds - number of seconds to convert into hours, minutes and seconds
+ * @param locale - the date-fns locale to use for formatting
  * @returns string - formatted duration in hours, minutes and seconds
  */
-export const formatSecondsToDuration = (seconds: number): string => {
+export const formatSecondsToDuration = (
+  seconds: number,
+  locale?: Locale,
+): string => {
   if (isNaN(seconds) || seconds < 0) {
     return "Invalid duration";
   }
@@ -274,6 +308,7 @@ export const formatSecondsToDuration = (seconds: number): string => {
   return formatDuration(duration, {
     format: ["hours", "minutes", "seconds"],
     delimiter: ", ",
+    locale: locale ?? enUS,
   });
 };
 
diff --git a/web/src/utils/i18n.ts b/web/src/utils/i18n.ts
index 8ee059333..f149f467e 100644
--- a/web/src/utils/i18n.ts
+++ b/web/src/utils/i18n.ts
@@ -1,11 +1,29 @@
 import i18n, { t } from "i18next";
 import { initReactI18next } from "react-i18next";
 import HttpBackend from "i18next-http-backend";
+import { EventType } from "@/types/search";
 
-export const getTranslatedLabel = (label: string) => {
+export const getTranslatedLabel = (
+  label: string,
+  type: EventType = "object",
+) => {
   if (!label) return "";
 
-  return t(`${label.replace(/\s+/g, "_").toLowerCase()}`, { ns: "objects" });
+  if (type === "manual") return label;
+
+  const normalize = (s: string) =>
+    s
+      .trim()
+      .replace(/[-'\s]+/g, "_")
+      .replace(/__+/g, "_")
+      .replace(/^_+|_+$/g, "")
+      .toLowerCase();
+
+  const key = normalize(label);
+
+  const ns = type === "audio" ? "audio" : "objects";
+
+  return t(key, { ns });
 };
 
 i18n
@@ -15,7 +33,7 @@ i18n
     fallbackLng: "en", // use en if detected lng is not available
 
     backend: {
-      loadPath: "locales/{{lng}}/{{ns}}.json",
+      loadPath: `locales/{{lng}}/{{ns}}.json?v=${import.meta.env.VITE_GIT_COMMIT_HASH || "unknown"}`,
     },
 
     ns: [
@@ -61,6 +79,21 @@ i18n
     parseMissingKeyHandler: (key: string) => {
       const parts = key.split(".");
 
+      if (parts[0] === "time" && parts[1]?.includes("formattedTimestamp")) {
+        // Extract the format type from the last part (12hour, 24hour)
+        const formatType = parts[parts.length - 1];
+
+        // Return actual date-fns format strings as fallbacks
+        const formatDefaults: Record<string, string> = {
+          "12hour": "h:mm aaa",
+          "24hour": "HH:mm",
+        };
+
+        if (formatDefaults[formatType]) {
+          return formatDefaults[formatType];
+        }
+      }
+
       // Handle special cases for objects and audio
       if (parts[0] === "object" || parts[0] === "audio") {
         return (
diff --git a/web/src/utils/iconUtil.tsx b/web/src/utils/iconUtil.tsx
index 11be7cb9e..8ddf3ea08 100644
--- a/web/src/utils/iconUtil.tsx
+++ b/web/src/utils/iconUtil.tsx
@@ -1,5 +1,6 @@
 import { IconName } from "@/components/icons/IconPicker";
 import { FrigateConfig } from "@/types/frigateConfig";
+import { EventType } from "@/types/search";
 import { BsPersonWalking } from "react-icons/bs";
 import {
   FaAmazon,
@@ -32,6 +33,7 @@ import {
   GiRabbit,
   GiRaccoonHead,
   GiSailboat,
+  GiSoundWaves,
   GiSquirrel,
 } from "react-icons/gi";
 import { LuBox, LuLassoSelect, LuScanBarcode } from "react-icons/lu";
@@ -56,11 +58,15 @@ export function isValidIconName(value: string): value is IconName {
   return Object.keys(LuIcons).includes(value as IconName);
 }
 
-export function getIconForLabel(label: string, className?: string) {
+export function getIconForLabel(
+  label: string,
+  type: EventType = "object",
+  className?: string,
+) {
   if (label.endsWith("-verified")) {
-    return getVerifiedIcon(label, className);
+    return getVerifiedIcon(label, className, type);
   } else if (label.endsWith("-plate")) {
-    return getRecognizedPlateIcon(label, className);
+    return getRecognizedPlateIcon(label, className, type);
   }
 
   switch (label) {
@@ -152,28 +158,39 @@ export function getIconForLabel(label: string, className?: string) {
     case "usps":
       return <FaUsps key={label} className={className} />;
     default:
+      if (type === "audio") {
+        return <GiSoundWaves key={label} className={className} />;
+      }
       return <LuLassoSelect key={label} className={className} />;
   }
 }
 
-function getVerifiedIcon(label: string, className?: string) {
+function getVerifiedIcon(
+  label: string,
+  className?: string,
+  type: EventType = "object",
+) {
   const simpleLabel = label.substring(0, label.lastIndexOf("-"));
 
   return (
-    <div key={label} className="flex items-center">
-      {getIconForLabel(simpleLabel, className)}
-      <FaCheckCircle className="absolute size-2 translate-x-[80%] translate-y-3/4" />
+    <div key={label} className="relative flex items-center">
+      {getIconForLabel(simpleLabel, type, className)}
+      <FaCheckCircle className="absolute -bottom-0.5 -right-0.5 size-2" />
     </div>
   );
 }
 
-function getRecognizedPlateIcon(label: string, className?: string) {
+function getRecognizedPlateIcon(
+  label: string,
+  className?: string,
+  type: EventType = "object",
+) {
   const simpleLabel = label.substring(0, label.lastIndexOf("-"));
 
   return (
-    <div key={label} className="flex items-center">
-      {getIconForLabel(simpleLabel, className)}
-      <LuScanBarcode className="absolute size-2.5 translate-x-[50%] translate-y-3/4" />
+    <div key={label} className="relative inline-flex items-center">
+      {getIconForLabel(simpleLabel, type, className)}
+      <LuScanBarcode className="absolute -bottom-0.5 -right-0.5 size-2" />
     </div>
   );
 }
diff --git a/web/src/utils/lifecycleUtil.ts b/web/src/utils/lifecycleUtil.ts
index 0a716d9fc..4e43de9c2 100644
--- a/web/src/utils/lifecycleUtil.ts
+++ b/web/src/utils/lifecycleUtil.ts
@@ -1,35 +1,43 @@
-import { ObjectLifecycleSequence } from "@/types/timeline";
+import { TrackingDetailsSequence } from "@/types/timeline";
 import { t } from "i18next";
 import { getTranslatedLabel } from "./i18n";
+import { capitalizeFirstLetter, formatList } from "./stringUtil";
 
 export function getLifecycleItemDescription(
-  lifecycleItem: ObjectLifecycleSequence,
+  lifecycleItem: TrackingDetailsSequence,
 ) {
   const rawLabel = Array.isArray(lifecycleItem.data.sub_label)
     ? lifecycleItem.data.sub_label[0]
     : lifecycleItem.data.sub_label || lifecycleItem.data.label;
 
-  const label = getTranslatedLabel(rawLabel);
+  const label = lifecycleItem.data.sub_label
+    ? capitalizeFirstLetter(rawLabel)
+    : getTranslatedLabel(
+        rawLabel,
+        lifecycleItem.class_type === "heard" ? "audio" : "object",
+      );
 
   switch (lifecycleItem.class_type) {
     case "visible":
-      return t("objectLifecycle.lifecycleItemDesc.visible", {
+      return t("trackingDetails.lifecycleItemDesc.visible", {
         ns: "views/explore",
         label,
       });
     case "entered_zone":
-      return t("objectLifecycle.lifecycleItemDesc.entered_zone", {
+      return t("trackingDetails.lifecycleItemDesc.entered_zone", {
         ns: "views/explore",
         label,
-        zones: lifecycleItem.data.zones.join(" and ").replaceAll("_", " "),
+        zones: formatList(
+          lifecycleItem.data.zones_friendly_names ?? lifecycleItem.data.zones,
+        ),
       });
     case "active":
-      return t("objectLifecycle.lifecycleItemDesc.active", {
+      return t("trackingDetails.lifecycleItemDesc.active", {
         ns: "views/explore",
         label,
       });
     case "stationary":
-      return t("objectLifecycle.lifecycleItemDesc.stationary", {
+      return t("trackingDetails.lifecycleItemDesc.stationary", {
         ns: "views/explore",
         label,
       });
@@ -40,34 +48,38 @@ export function getLifecycleItemDescription(
         lifecycleItem.data.attribute == "license_plate"
       ) {
         title = t(
-          "objectLifecycle.lifecycleItemDesc.attribute.faceOrLicense_plate",
+          "trackingDetails.lifecycleItemDesc.attribute.faceOrLicense_plate",
           {
             ns: "views/explore",
             label,
-            attribute: lifecycleItem.data.attribute.replaceAll("_", " "),
+            attribute: getTranslatedLabel(
+              lifecycleItem.data.attribute.replaceAll("_", " "),
+            ),
           },
         );
       } else {
-        title = t("objectLifecycle.lifecycleItemDesc.attribute.other", {
+        title = t("trackingDetails.lifecycleItemDesc.attribute.other", {
           ns: "views/explore",
           label: lifecycleItem.data.label,
-          attribute: lifecycleItem.data.attribute.replaceAll("_", " "),
+          attribute: getTranslatedLabel(
+            lifecycleItem.data.attribute.replaceAll("_", " "),
+          ),
         });
       }
       return title;
     }
     case "gone":
-      return t("objectLifecycle.lifecycleItemDesc.gone", {
+      return t("trackingDetails.lifecycleItemDesc.gone", {
         ns: "views/explore",
         label,
       });
     case "heard":
-      return t("objectLifecycle.lifecycleItemDesc.heard", {
+      return t("trackingDetails.lifecycleItemDesc.heard", {
         ns: "views/explore",
         label,
       });
     case "external":
-      return t("objectLifecycle.lifecycleItemDesc.external", {
+      return t("trackingDetails.lifecycleItemDesc.external", {
         ns: "views/explore",
         label,
       });
diff --git a/web/src/utils/snapshotUtil.ts b/web/src/utils/snapshotUtil.ts
new file mode 100644
index 000000000..c88433d45
--- /dev/null
+++ b/web/src/utils/snapshotUtil.ts
@@ -0,0 +1,163 @@
+import { baseUrl } from "@/api/baseUrl";
+
+type SnapshotResponse = {
+  dataUrl: string;
+  blob: Blob;
+  contentType: string;
+};
+
+export type SnapshotResult =
+  | {
+      success: true;
+      data: SnapshotResponse;
+    }
+  | {
+      success: false;
+      error: string;
+    };
+
+export async function fetchCameraSnapshot(
+  name: string,
+): Promise<SnapshotResult> {
+  try {
+    const url = `${baseUrl}api/${encodeURIComponent(name)}/latest.jpg`;
+
+    const response = await fetch(url, {
+      method: "GET",
+      cache: "no-store",
+      credentials: "same-origin",
+    });
+
+    if (!response.ok) {
+      return {
+        success: false,
+        error: `Snapshot request failed with status ${response.status}`,
+      };
+    }
+
+    const blob = await response.blob();
+
+    if (!blob || blob.size === 0) {
+      return {
+        success: false,
+        error: "Snapshot response was empty",
+      };
+    }
+
+    const dataUrl = await blobToDataUrl(blob);
+    const contentType = response.headers.get("content-type") ?? `image/jpeg`;
+
+    return {
+      success: true,
+      data: {
+        dataUrl,
+        blob,
+        contentType,
+      },
+    };
+  } catch (error) {
+    return {
+      success: false,
+      error: error instanceof Error ? error.message : "Unknown error occurred",
+    };
+  }
+}
+
+function blobToDataUrl(blob: Blob): Promise<string> {
+  return new Promise((resolve, reject) => {
+    const reader = new FileReader();
+
+    reader.onloadend = () => {
+      if (typeof reader.result === "string") {
+        resolve(reader.result);
+      } else {
+        reject(new Error("Failed to convert blob to data URL"));
+      }
+    };
+
+    reader.onerror = () => {
+      reject(reader.error ?? new Error("Failed to read snapshot blob"));
+    };
+
+    reader.readAsDataURL(blob);
+  });
+}
+
+export function downloadSnapshot(dataUrl: string, filename: string): void {
+  try {
+    const link = document.createElement("a");
+    link.href = dataUrl;
+    link.download = filename;
+    document.body.appendChild(link);
+    link.click();
+    document.body.removeChild(link);
+  } catch (error) {
+    // eslint-disable-next-line no-console
+    console.error(`Failed to download snapshot for ${filename}:`, error);
+  }
+}
+
+export function generateSnapshotFilename(cameraName: string): string {
+  const timestamp = new Date().toISOString().replace(/[:.]/g, "-").slice(0, -5);
+  return `${cameraName}_snapshot_${timestamp}.jpg`;
+}
+
+export async function grabVideoSnapshot(): Promise<SnapshotResult> {
+  try {
+    // Find the video element in the player
+    const videoElement = document.querySelector(
+      "#player-container video",
+    ) as HTMLVideoElement;
+
+    if (!videoElement) {
+      return {
+        success: false,
+        error: "Video element not found",
+      };
+    }
+
+    const width = videoElement.videoWidth;
+    const height = videoElement.videoHeight;
+
+    if (width === 0 || height === 0) {
+      return {
+        success: false,
+        error: "Video element has no dimensions",
+      };
+    }
+
+    const canvas = document.createElement("canvas");
+    canvas.width = width;
+    canvas.height = height;
+
+    const context = canvas.getContext("2d");
+
+    if (!context) {
+      return {
+        success: false,
+        error: "Failed to get canvas context",
+      };
+    }
+
+    context.drawImage(videoElement, 0, 0, width, height);
+    const dataUrl = canvas.toDataURL("image/jpeg", 0.9);
+
+    // Convert data URL to blob
+    const response = await fetch(dataUrl);
+    const blob = await response.blob();
+
+    return {
+      success: true,
+      data: {
+        dataUrl,
+        blob,
+        contentType: "image/jpeg",
+      },
+    };
+  } catch (error) {
+    return {
+      success: false,
+      error: error instanceof Error ? error.message : "Unknown error occurred",
+    };
+  }
+}
diff --git a/web/src/utils/stringUtil.ts b/web/src/utils/stringUtil.ts
index 57f142119..e968094ca 100644
--- a/web/src/utils/stringUtil.ts
+++ b/web/src/utils/stringUtil.ts
@@ -1,3 +1,5 @@
+import { t } from "i18next";
+
 export const capitalizeFirstLetter = (text: string): string => {
   return text.charAt(0).toUpperCase() + text.slice(1);
 };
@@ -9,3 +11,75 @@ export const capitalizeAll = (text: string): string => {
     .map((word) => word.charAt(0).toUpperCase() + word.slice(1))
     .join(" ");
 };
+
+/**
+ * Generates a fixed-length hash from a camera name for use as a valid camera identifier.
+ * Works safely with Unicode input while outputting Latin-only identifiers.
+ *
+ * @param name - The original camera name/display name
+ * @param prefix - Optional prefix for the identifier
+ * @returns A valid camera identifier (lowercase, alphanumeric, max 8 chars)
+ */
+export function generateFixedHash(name: string, prefix: string = "id"): string {
+  // Use the full UTF-8 bytes of the name and compute an FNV-1a 32-bit hash.
+  // This is deterministic, fast, works with Unicode and avoids collisions from
+  // simple truncation of base64 output.
+  const utf8Bytes = new TextEncoder().encode(name);
+
+  // FNV-1a 32-bit hash algorithm
+  let hash = 0x811c9dc5; // FNV offset basis
+  for (let i = 0; i < utf8Bytes.length; i++) {
+    hash ^= utf8Bytes[i];
+    // Multiply by FNV prime (0x01000193) with 32-bit overflow
+    hash = (hash >>> 0) * 0x01000193;
+    // Ensure 32-bit unsigned integer
+    hash >>>= 0;
+  }
+
+  // Convert to an 8-character lowercase hex string
+  const hashHex = (hash >>> 0).toString(16).padStart(8, "0").toLowerCase();
+
+  // Ensure the first character is a letter to avoid an identifier that's purely
+  // numeric (isValidId forbids all-digit IDs). If it starts with a digit,
+  // replace with 'a'. This is extremely unlikely but a simple safeguard.
+  const safeHash = /^[0-9]/.test(hashHex[0]) ? `a${hashHex.slice(1)}` : hashHex;
+
+  return `${prefix}_${safeHash}`;
+}
+
+/**
+ * Checks if a string is a valid camera name identifier.
+ * Valid camera names contain only ASCII letters, numbers, underscores, and hyphens.
+ *
+ * @param name - The camera name to validate
+ * @returns True if the name is valid, false otherwise
+ */
+export function isValidId(name: string): boolean {
+  return /^[a-zA-Z0-9_-]+$/.test(name) && !/^\d+$/.test(name);
+}
+
+/**
+ * Formats a list of strings into a human-readable format with proper localization.
+ * Handles different cases for empty, single-item, two-item, and multi-item lists.
+ *
+ * @param item - The array of strings to format
+ * @returns A formatted string representation of the list
+ */
+export function formatList(item: string[]): string {
+  if (item.length === 0) return "";
+  if (item.length === 1) return item[0];
+  if (item.length === 2) {
+    return t("list.two", {
+      0: item[0],
+      1: item[1],
+      ns: "common",
+    });
+  }
+
+  const separatorWithSpace = t("list.separatorWithSpace", { ns: "common" });
+  const allButLast = item.slice(0, -1).join(separatorWithSpace);
+  return t("list.many", {
+    items: allButLast,
+    last: item[item.length - 1],
+  });
+}
diff --git a/web/src/utils/videoUtil.ts b/web/src/utils/videoUtil.ts
index 9f22e19d7..0b09ac061 100644
--- a/web/src/utils/videoUtil.ts
+++ b/web/src/utils/videoUtil.ts
@@ -24,3 +24,57 @@ export function calculateInpointOffset(
 
   return 0;
 }
+
+/**
+ * Calculates the video player time (in seconds) for a given timestamp
+ * by iterating through recording segments and summing their durations.
+ * This accounts for the fact that the video is a concatenation of segments,
+ * not a single continuous stream.
+ *
+ * @param timestamp - The target timestamp to seek to
+ * @param recordings - Array of recording segments
+ * @param inpointOffset - HLS inpoint offset to subtract from the result
+ * @returns The calculated seek position in seconds, or undefined if timestamp is out of range
+ */
+export function calculateSeekPosition(
+  timestamp: number,
+  recordings: Recording[],
+  inpointOffset: number = 0,
+): number | undefined {
+  if (!recordings || recordings.length === 0) {
+    return undefined;
+  }
+
+  // Check if timestamp is within the recordings range
+  if (
+    timestamp < recordings[0].start_time ||
+    timestamp > recordings[recordings.length - 1].end_time
+  ) {
+    return undefined;
+  }
+
+  let seekSeconds = 0;
+
+  (recordings || []).every((segment) => {
+    // if the next segment is past the desired time, stop calculating
+    if (segment.start_time > timestamp) {
+      return false;
+    }
+
+    if (segment.end_time < timestamp) {
+      // Add the full duration of this segment
+      seekSeconds += segment.end_time - segment.start_time;
+      return true;
+    }
+
+    // We're in this segment - calculate position within it
+    seekSeconds +=
+      segment.end_time - segment.start_time - (segment.end_time - timestamp);
+    return true;
+  });
+
+  // Adjust for HLS inpoint offset
+  seekSeconds -= inpointOffset;
+
+  return seekSeconds >= 0 ? seekSeconds : undefined;
+}
diff --git a/web/src/views/classification/ModelSelectionView.tsx b/web/src/views/classification/ModelSelectionView.tsx
index b91ea5648..3cd450bba 100644
--- a/web/src/views/classification/ModelSelectionView.tsx
+++ b/web/src/views/classification/ModelSelectionView.tsx
@@ -1,13 +1,48 @@
 import { baseUrl } from "@/api/baseUrl";
+import ClassificationModelWizardDialog from "@/components/classification/ClassificationModelWizardDialog";
+import ClassificationModelEditDialog from "@/components/classification/ClassificationModelEditDialog";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
+import { ImageShadowOverlay } from "@/components/overlay/ImageShadowOverlay";
+import { Button, buttonVariants } from "@/components/ui/button";
+import { ToggleGroup, ToggleGroupItem } from "@/components/ui/toggle-group";
+import useOptimisticState from "@/hooks/use-optimistic-state";
 import { cn } from "@/lib/utils";
 import {
   CustomClassificationModelConfig,
   FrigateConfig,
 } from "@/types/frigateConfig";
-import { useMemo } from "react";
-import { isMobile } from "react-device-detect";
+import { ClassificationDatasetResponse } from "@/types/classification";
+import { useCallback, useEffect, useMemo, useState } from "react";
+import { useTranslation } from "react-i18next";
+import { FaFolderPlus } from "react-icons/fa";
+import { MdModelTraining } from "react-icons/md";
+import { FiMoreVertical } from "react-icons/fi";
 import useSWR from "swr";
+import Heading from "@/components/ui/heading";
+import { useOverlayState } from "@/hooks/use-overlay-state";
+import axios from "axios";
+import { toast } from "sonner";
+import {
+  DropdownMenu,
+  DropdownMenuContent,
+  DropdownMenuItem,
+  DropdownMenuTrigger,
+} from "@/components/ui/dropdown-menu";
+import {
+  AlertDialog,
+  AlertDialogAction,
+  AlertDialogCancel,
+  AlertDialogContent,
+  AlertDialogDescription,
+  AlertDialogFooter,
+  AlertDialogHeader,
+  AlertDialogTitle,
+} from "@/components/ui/alert-dialog";
+import BlurredIconButton from "@/components/button/BlurredIconButton";
+import { Skeleton } from "@/components/ui/skeleton";
+
+const allModelTypes = ["objects", "states"] as const;
+type ModelType = (typeof allModelTypes)[number];
 
 type ModelSelectionViewProps = {
   onClick: (model: CustomClassificationModelConfig) => void;
@@ -15,9 +50,27 @@ type ModelSelectionViewProps = {
 export default function ModelSelectionView({
   onClick,
 }: ModelSelectionViewProps) {
-  const { data: config } = useSWR<FrigateConfig>("config", {
-    revalidateOnFocus: false,
-  });
+  const { t } = useTranslation(["views/classificationModel"]);
+  const [page, setPage] = useOverlayState<ModelType>("objects", "objects");
+  const [pageToggle, setPageToggle] = useOptimisticState(
+    page || "objects",
+    setPage,
+    100,
+  );
+  const { data: config, mutate: refreshConfig } = useSWR<FrigateConfig>(
+    "config",
+    {
+      revalidateOnFocus: false,
+    },
+  );
+
+  // title
+
+  useEffect(() => {
+    document.title = t("documentTitle");
+  }, [t]);
+
+  // data
 
   const classificationConfigs = useMemo(() => {
     if (!config) {
@@ -27,23 +80,123 @@ export default function ModelSelectionView({
     return Object.values(config.classification.custom);
   }, [config]);
 
+  const selectedClassificationConfigs = useMemo(() => {
+    return classificationConfigs.filter((model) => {
+      if (pageToggle == "objects" && model.object_config != undefined) {
+        return true;
+      }
+
+      if (pageToggle == "states" && model.state_config != undefined) {
+        return true;
+      }
+
+      return false;
+    });
+  }, [classificationConfigs, pageToggle]);
+
+  // new model wizard
+
+  const [newModel, setNewModel] = useState(false);
+
   if (!config) {
     return <ActivityIndicator />;
   }
 
-  if (classificationConfigs.length == 0) {
-    return <div>You need to setup a custom model configuration.</div>;
-  }
+  return (
+    <div className="flex size-full flex-col p-2">
+      <ClassificationModelWizardDialog
+        open={newModel}
+        defaultModelType={pageToggle === "objects" ? "object" : "state"}
+        onClose={() => {
+          setNewModel(false);
+          refreshConfig();
+        }}
+      />
+
+      <div className="flex h-12 w-full items-center justify-between">
+        <div className="flex flex-row items-center">
+          <ToggleGroup
+            className="*:rounded-md *:px-3 *:py-4"
+            type="single"
+            size="sm"
+            value={pageToggle}
+            onValueChange={(value: ModelType) => {
+              if (value) {
+                setPageToggle(value);
+              }
+            }}
+          >
+            {allModelTypes.map((item) => (
+              <ToggleGroupItem
+                key={item}
+                className={`flex scroll-mx-10 items-center justify-between gap-2 ${pageToggle == item ? "" : "*:text-muted-foreground"}`}
+                value={item}
+                data-nav-item={item}
+                aria-label={t("selectItem", {
+                  ns: "common",
+                  item: t("menu." + item),
+                })}
+              >
+                <div className="smart-capitalize">{t("menu." + item)}</div>
+              </ToggleGroupItem>
+            ))}
+          </ToggleGroup>
+        </div>
+        <div className="flex flex-row items-center">
+          <Button
+            className="flex flex-row items-center gap-2"
+            variant="select"
+            onClick={() => setNewModel(true)}
+          >
+            <FaFolderPlus />
+            {t("button.addClassification")}
+          </Button>
+        </div>
+      </div>
+      {selectedClassificationConfigs.length === 0 ? (
+        <NoModelsView
+          onCreateModel={() => setNewModel(true)}
+          modelType={pageToggle}
+        />
+      ) : (
+        <div className="grid auto-rows-max grid-cols-2 gap-2 overflow-y-auto p-2 md:grid-cols-4 lg:grid-cols-5 xl:grid-cols-6 2xl:grid-cols-8 3xl:grid-cols-10">
+          {selectedClassificationConfigs.map((config) => (
+            <ModelCard
+              key={config.name}
+              config={config}
+              onClick={() => onClick(config)}
+              onUpdate={() => refreshConfig()}
+              onDelete={() => refreshConfig()}
+            />
+          ))}
+        </div>
+      )}
+    </div>
+  );
+}
+
+function NoModelsView({
+  onCreateModel,
+  modelType,
+}: {
+  onCreateModel: () => void;
+  modelType: ModelType;
+}) {
+  const { t } = useTranslation(["views/classificationModel"]);
+  const typeKey = modelType === "objects" ? "object" : "state";
 
   return (
-    <div className="flex size-full gap-2 p-2">
-      {classificationConfigs.map((config) => (
-        <ModelCard
-          key={config.name}
-          config={config}
-          onClick={() => onClick(config)}
-        />
-      ))}
+    <div className="flex size-full items-center justify-center">
+      <div className="flex flex-col items-center gap-2">
+        <MdModelTraining className="size-8" />
+        <Heading as="h4">{t(`noModels.${typeKey}.title`)}</Heading>
+        <div className="mb-3 text-center text-secondary-foreground">
+          {t(`noModels.${typeKey}.description`)}
+        </div>
+        <Button size="sm" variant="select" onClick={onCreateModel}>
+          {t(`noModels.${typeKey}.buttonText`)}
+        </Button>
+      </div>
     </div>
   );
 }
@@ -51,53 +204,164 @@ export default function ModelSelectionView({
 type ModelCardProps = {
   config: CustomClassificationModelConfig;
   onClick: () => void;
+  onUpdate: () => void;
+  onDelete: () => void;
 };
-function ModelCard({ config, onClick }: ModelCardProps) {
-  const { data: dataset } = useSWR<{
-    [id: string]: string[];
-  }>(`classification/${config.name}/dataset`, { revalidateOnFocus: false });
+function ModelCard({ config, onClick, onUpdate, onDelete }: ModelCardProps) {
+  const { t } = useTranslation(["views/classificationModel"]);
 
-  const coverImages = useMemo(() => {
-    if (!dataset) {
-      return {};
+  const { data: dataset } = useSWR<ClassificationDatasetResponse>(
+    `classification/${config.name}/dataset`,
+    { revalidateOnFocus: false },
+  );
+
+  const [deleteDialogOpen, setDeleteDialogOpen] = useState(false);
+  const [editDialogOpen, setEditDialogOpen] = useState(false);
+
+  const handleDelete = useCallback(async () => {
+    try {
+      await axios.delete(`classification/${config.name}`);
+      await axios.put("/config/set", {
+        requires_restart: 0,
+        update_topic: `config/classification/custom/${config.name}`,
+        config_data: {
+          classification: {
+            custom: {
+              [config.name]: "",
+            },
+          },
+        },
+      });
+
+      toast.success(t("toast.success.deletedModel", { count: 1 }), {
+        position: "top-center",
+      });
+      onDelete();
+    } catch (err) {
+      const error = err as {
+        response?: { data?: { message?: string; detail?: string } };
+      };
+      const errorMessage =
+        error.response?.data?.message ||
+        error.response?.data?.detail ||
+        "Unknown error";
+      toast.error(t("toast.error.deleteModelFailed", { errorMessage }), {
+        position: "top-center",
+      });
+    }
+  }, [config, onDelete, t]);
+
+  const handleDeleteClick = useCallback((e: React.MouseEvent) => {
+    e.stopPropagation();
+    setDeleteDialogOpen(true);
+  }, []);
+
+  const handleEditClick = useCallback((e: React.MouseEvent) => {
+    e.stopPropagation();
+    setEditDialogOpen(true);
+  }, []);
+
+  const coverImage = useMemo(() => {
+    if (!dataset || !dataset.categories) {
+      return undefined;
     }
 
-    const imageMap: { [key: string]: string } = {};
+    const keys = Object.keys(dataset.categories).filter(
+      (key) => key != "none" && key.toLowerCase() != "unknown",
+    );
 
-    for (const [key, imageList] of Object.entries(dataset)) {
-      if (imageList.length > 0) {
-        imageMap[key] = imageList[0];
-      }
+    if (keys.length === 0) {
+      return undefined;
     }
 
-    return imageMap;
+    const selectedKey = keys[0];
+    const images = dataset.categories[selectedKey];
+
+    if (!images || images.length === 0) {
+      return undefined;
+    }
+
+    return {
+      name: selectedKey,
+      img: images[0],
+    };
   }, [dataset]);
 
   return (
-    <div
-      key={config.name}
-      className={cn(
-        "flex h-60 cursor-pointer flex-col items-center gap-2 rounded-lg bg-card p-2 outline outline-[3px]",
-        "outline-transparent duration-500",
-        isMobile && "w-full",
-      )}
-      onClick={() => onClick()}
-    >
-      <div
-        className={cn("grid size-48 grid-cols-2 gap-2", isMobile && "w-full")}
+    <>
+      <ClassificationModelEditDialog
+        open={editDialogOpen}
+        model={config}
+        onClose={() => setEditDialogOpen(false)}
+        onSuccess={() => onUpdate()}
+      />
+
+      <AlertDialog
+        open={deleteDialogOpen}
+        onOpenChange={() => setDeleteDialogOpen(!deleteDialogOpen)}
       >
-        {Object.entries(coverImages).map(([key, image]) => (
-          <img
-            key={key}
-            className=""
-            src={`${baseUrl}clips/${config.name}/dataset/${key}/${image}`}
-          />
-        ))}
+        <AlertDialogContent>
+          <AlertDialogHeader>
+            <AlertDialogTitle>{t("deleteModel.title")}</AlertDialogTitle>
+          </AlertDialogHeader>
+          <AlertDialogDescription>
+            {t("deleteModel.single", { name: config.name })}
+          </AlertDialogDescription>
+          <AlertDialogFooter>
+            <AlertDialogCancel>
+              {t("button.cancel", { ns: "common" })}
+            </AlertDialogCancel>
+            <AlertDialogAction
+              className={buttonVariants({ variant: "destructive" })}
+              onClick={handleDelete}
+            >
+              {t("button.delete", { ns: "common" })}
+            </AlertDialogAction>
+          </AlertDialogFooter>
+        </AlertDialogContent>
+      </AlertDialog>
+
+      <div
+        className={cn(
+          "relative aspect-square w-full cursor-pointer overflow-hidden rounded-lg",
+        )}
+        onClick={onClick}
+      >
+        {coverImage ? (
+          <>
+            <img
+              className="size-full"
+              src={`${baseUrl}clips/${config.name}/dataset/${coverImage.name}/${coverImage.img}`}
+            />
+            <ImageShadowOverlay lowerClassName="h-[30%] z-0" />
+          </>
+        ) : (
+          <Skeleton className="flex size-full items-center justify-center" />
+        )}
+        <div className="absolute bottom-2 left-3 text-lg text-white smart-capitalize">
+          {config.name}
+        </div>
+        <div className="absolute bottom-2 right-2 z-40">
+          <DropdownMenu>
+            <DropdownMenuTrigger asChild onClick={(e) => e.stopPropagation()}>
+              <BlurredIconButton>
+                <FiMoreVertical className="size-5 text-white" />
+              </BlurredIconButton>
+            </DropdownMenuTrigger>
+            <DropdownMenuContent
+              align="end"
+              onClick={(e) => e.stopPropagation()}
+            >
+              <DropdownMenuItem onClick={handleEditClick}>
+                <span>{t("button.edit", { ns: "common" })}</span>
+              </DropdownMenuItem>
+              <DropdownMenuItem onClick={handleDeleteClick}>
+                <span>{t("button.delete", { ns: "common" })}</span>
+              </DropdownMenuItem>
+            </DropdownMenuContent>
+          </DropdownMenu>
+        </div>
       </div>
-      <div className="smart-capitalize">
-        {config.name} ({config.state_config != null ? "State" : "Object"}{" "}
-        Classification)
-      </div>
-    </div>
+    </>
   );
 }
diff --git a/web/src/views/classification/ModelTrainingView.tsx b/web/src/views/classification/ModelTrainingView.tsx
index d3fd5b40e..00e811d09 100644
--- a/web/src/views/classification/ModelTrainingView.tsx
+++ b/web/src/views/classification/ModelTrainingView.tsx
@@ -44,22 +44,27 @@ import {
   useRef,
   useState,
 } from "react";
-import { isDesktop, isMobile } from "react-device-detect";
+import { isDesktop, isMobileOnly } from "react-device-detect";
 import { Trans, useTranslation } from "react-i18next";
 import { LuPencil, LuTrash2 } from "react-icons/lu";
 import { toast } from "sonner";
 import useSWR from "swr";
 import ClassificationSelectionDialog from "@/components/overlay/ClassificationSelectionDialog";
 import { TbCategoryPlus } from "react-icons/tb";
+import BlurredIconButton from "@/components/button/BlurredIconButton";
 import { useModelState } from "@/api/ws";
 import { ModelState } from "@/types/ws";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import { useNavigate } from "react-router-dom";
 import { IoMdArrowRoundBack } from "react-icons/io";
-import { MdAutoFixHigh } from "react-icons/md";
 import TrainFilterDialog from "@/components/overlay/dialog/TrainFilterDialog";
 import useApiFilter from "@/hooks/use-api-filter";
-import { ClassificationItemData, TrainFilter } from "@/types/classification";
+import {
+  ClassificationDatasetResponse,
+  ClassificationItemData,
+  ClassifiedEvent,
+  TrainFilter,
+} from "@/types/classification";
 import {
   ClassificationCard,
   GroupedClassificationCard,
@@ -69,6 +74,8 @@ import SearchDetailDialog, {
   SearchTab,
 } from "@/components/overlay/detail/SearchDetailDialog";
 import { SearchResult } from "@/types/search";
+import { HiSparkles } from "react-icons/hi";
+import { capitalizeFirstLetter } from "@/utils/stringUtil";
 
 type ModelTrainingViewProps = {
   model: CustomClassificationModelConfig;
@@ -79,6 +86,12 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
   const [page, setPage] = useState<string>("train");
   const [pageToggle, setPageToggle] = useOptimisticState(page, setPage, 100);
 
+  // title
+
+  useEffect(() => {
+    document.title = `${capitalizeFirstLetter(model.name)} - ${t("documentTitle")}`;
+  }, [model.name, t]);
+
   // model state
 
   const [wasTraining, setWasTraining] = useState(false);
@@ -99,6 +112,14 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
     if (modelState == "complete") {
       toast.success(t("toast.success.trainedModel"), {
         position: "top-center",
+        closeButton: true,
+      });
+      setWasTraining(false);
+      refreshDataset();
+    } else if (modelState == "failed") {
+      toast.error(t("toast.error.trainingFailed"), {
+        position: "top-center",
+        closeButton: true,
       });
       setWasTraining(false);
     }
@@ -111,12 +132,21 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
   const { data: trainImages, mutate: refreshTrain } = useSWR<string[]>(
     `classification/${model.name}/train`,
   );
-  const { data: dataset, mutate: refreshDataset } = useSWR<{
-    [id: string]: string[];
-  }>(`classification/${model.name}/dataset`);
+  const { data: datasetResponse, mutate: refreshDataset } =
+    useSWR<ClassificationDatasetResponse>(
+      `classification/${model.name}/dataset`,
+    );
+
+  const dataset = datasetResponse?.categories || {};
+  const trainingMetadata = datasetResponse?.training_metadata;
 
   const [trainFilter, setTrainFilter] = useApiFilter<TrainFilter>();
 
+  const refreshAll = useCallback(() => {
+    refreshTrain();
+    refreshDataset();
+  }, [refreshTrain, refreshDataset]);
+
   // image multiselect
 
   const [selectedImages, setSelectedImages] = useState<string[]>([]);
@@ -162,6 +192,7 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
           setWasTraining(true);
           toast.success(t("toast.success.trainingModel"), {
             position: "top-center",
+            closeButton: true,
           });
         }
       })
@@ -171,8 +202,9 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
           error.response?.data?.detail ||
           "Unknown error";
 
-        toast.error(t("toast.error.trainingFailed", { errorMessage }), {
+        toast.error(t("toast.error.trainingFailedToStart", { errorMessage }), {
           position: "top-center",
+          closeButton: true,
         });
       });
   }, [model, t]);
@@ -181,12 +213,44 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
     null,
   );
 
+  const onRename = useCallback(
+    (old_name: string, new_name: string) => {
+      axios
+        .put(`/classification/${model.name}/dataset/${old_name}/rename`, {
+          new_category: new_name,
+        })
+        .then((resp) => {
+          if (resp.status == 200) {
+            toast.success(
+              t("toast.success.renamedCategory", { name: new_name }),
+              {
+                position: "top-center",
+              },
+            );
+            setPageToggle(new_name);
+            refreshDataset();
+          }
+        })
+        .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
+          toast.error(t("toast.error.renameCategoryFailed", { errorMessage }), {
+            position: "top-center",
+          });
+        });
+    },
+    [model, setPageToggle, refreshDataset, t],
+  );
+
   const onDelete = useCallback(
-    (ids: string[], isName: boolean = false) => {
+    (ids: string[], isName: boolean = false, category?: string) => {
+      const targetCategory = category || pageToggle;
       const api =
-        pageToggle == "train"
+        targetCategory == "train"
           ? `/classification/${model.name}/train/delete`
-          : `/classification/${model.name}/dataset/${pageToggle}/delete`;
+          : `/classification/${model.name}/dataset/${targetCategory}/delete`;
 
       axios
         .post(api, { ids })
@@ -210,10 +274,11 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
               );
             }
 
+            // Always refresh dataset to update the categories list
+            refreshDataset();
+
             if (pageToggle == "train") {
               refreshTrain();
-            } else {
-              refreshDataset();
             }
           }
         })
@@ -326,32 +391,45 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
       </AlertDialog>
 
       <div className="flex flex-row justify-between gap-2 p-2 align-middle">
-        <div className="flex flex-row items-center justify-center gap-2">
-          <Button
-            className="flex items-center gap-2.5 rounded-lg"
-            aria-label={t("label.back", { ns: "common" })}
-            onClick={() => navigate(-1)}
-          >
-            <IoMdArrowRoundBack className="size-5 text-secondary-foreground" />
-            {isDesktop && (
-              <div className="text-primary">
-                {t("button.back", { ns: "common" })}
-              </div>
-            )}
-          </Button>
-          <LibrarySelector
-            pageToggle={pageToggle}
-            dataset={dataset || {}}
-            trainImages={trainImages || []}
-            setPageToggle={setPageToggle}
-            onDelete={onDelete}
-            onRename={() => {}}
-          />
-        </div>
+        {(isDesktop || !selectedImages?.length) && (
+          <div className="flex flex-row items-center justify-center gap-2">
+            <Button
+              className="flex items-center gap-2.5 rounded-lg"
+              aria-label={t("label.back", { ns: "common" })}
+              onClick={() => navigate(-1)}
+            >
+              <IoMdArrowRoundBack className="size-5 text-secondary-foreground" />
+              {isDesktop && (
+                <div className="text-primary">
+                  {t("button.back", { ns: "common" })}
+                </div>
+              )}
+            </Button>
+
+            <LibrarySelector
+              pageToggle={pageToggle}
+              dataset={dataset || {}}
+              trainImages={trainImages || []}
+              setPageToggle={setPageToggle}
+              onDelete={onDelete}
+              onRename={onRename}
+            />
+          </div>
+        )}
         {selectedImages?.length > 0 ? (
-          <div className="flex items-center justify-center gap-2">
-            <div className="mx-1 flex w-48 items-center justify-center text-sm text-muted-foreground">
-              <div className="p-1">{`${selectedImages.length} selected`}</div>
+          <div
+            className={cn(
+              "flex w-full items-center justify-end gap-2",
+              isMobileOnly && "justify-between",
+            )}
+          >
+            <div className="flex w-auto items-center justify-center text-sm text-muted-foreground md:w-auto">
+              <div className="p-1">
+                {t("selected", {
+                  ns: "views/events",
+                  count: selectedImages.length,
+                })}
+              </div>
               <div className="p-1">{"|"}</div>
               <div
                 className="cursor-pointer p-2 text-primary hover:rounded-lg hover:bg-secondary"
@@ -359,6 +437,26 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
               >
                 {t("button.unselect", { ns: "common" })}
               </div>
+              {selectedImages.length <
+                (pageToggle === "train"
+                  ? trainImages?.length || 0
+                  : dataset?.[pageToggle]?.length || 0) && (
+                <>
+                  <div className="p-1">{"|"}</div>
+                  <div
+                    className="cursor-pointer p-2 text-primary hover:rounded-lg hover:bg-secondary"
+                    onClick={() =>
+                      setSelectedImages([
+                        ...(pageToggle === "train"
+                          ? trainImages || []
+                          : dataset?.[pageToggle] || []),
+                      ])
+                    }
+                  >
+                    {t("select_all", { ns: "views/events" })}
+                  </div>
+                </>
+              )}
             </div>
             <Button
               className="flex gap-2"
@@ -375,18 +473,48 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
               filterValues={{ classes: Object.keys(dataset || {}) }}
               onUpdateFilter={setTrainFilter}
             />
-            <Button
-              className="flex justify-center gap-2"
-              onClick={trainModel}
-              disabled={modelState != "complete"}
-            >
-              {modelState == "training" ? (
-                <ActivityIndicator size={20} />
-              ) : (
-                <MdAutoFixHigh className="text-secondary-foreground" />
+            <Tooltip>
+              <TooltipTrigger asChild>
+                <Button
+                  className="flex justify-center gap-2"
+                  onClick={trainModel}
+                  variant={modelState == "failed" ? "destructive" : "select"}
+                  disabled={
+                    (modelState != "complete" && modelState != "failed") ||
+                    !trainingMetadata?.dataset_changed
+                  }
+                >
+                  {modelState == "training" ? (
+                    <ActivityIndicator size={20} />
+                  ) : (
+                    <HiSparkles className="text-white" />
+                  )}
+                  {isDesktop && (
+                    <>
+                      {t("button.trainModel")}
+                      {trainingMetadata?.new_images_count !== undefined &&
+                        trainingMetadata.new_images_count > 0 && (
+                          <span className="text-sm text-selected-foreground">
+                            ({trainingMetadata.new_images_count})
+                          </span>
+                        )}
+                    </>
+                  )}
+                </Button>
+              </TooltipTrigger>
+              {(!trainingMetadata?.dataset_changed ||
+                (modelState != "complete" && modelState != "failed")) && (
+                <TooltipPortal>
+                  <TooltipContent>
+                    {modelState == "training"
+                      ? t("tooltip.trainingInProgress")
+                      : !trainingMetadata?.dataset_changed
+                        ? t("tooltip.noChanges")
+                        : t("tooltip.modelNotReady")}
+                  </TooltipContent>
+                </TooltipPortal>
               )}
-              {isDesktop && t("button.trainModel")}
-            </Button>
+            </Tooltip>
           </div>
         )}
       </div>
@@ -398,7 +526,7 @@ export default function ModelTrainingView({ model }: ModelTrainingViewProps) {
           trainImages={trainImages || []}
           trainFilter={trainFilter}
           selectedImages={selectedImages}
-          onRefresh={refreshTrain}
+          onRefresh={refreshAll}
           onClickImages={onClickImages}
           onDelete={onDelete}
         />
@@ -422,7 +550,7 @@ type LibrarySelectorProps = {
   dataset: { [id: string]: string[] };
   trainImages: string[];
   setPageToggle: (toggle: string) => void;
-  onDelete: (ids: string[], isName: boolean) => void;
+  onDelete: (ids: string[], isName: boolean, category?: string) => void;
   onRename: (old_name: string, new_name: string) => void;
 };
 function LibrarySelector({
@@ -434,15 +562,31 @@ function LibrarySelector({
   onRename,
 }: LibrarySelectorProps) {
   const { t } = useTranslation(["views/classificationModel"]);
-  const [confirmDelete, setConfirmDelete] = useState<string | null>(null);
-  const [renameClass, setRenameFace] = useState<string | null>(null);
 
-  const handleDeleteFace = useCallback(
+  // data
+
+  const [confirmDelete, setConfirmDelete] = useState<string | null>(null);
+  const [renameClass, setRenameClass] = useState<string | null>(null);
+  const pageTitle = useMemo(() => {
+    if (pageToggle != "train") {
+      return pageToggle;
+    }
+
+    if (isMobileOnly) {
+      return t("train.titleShort");
+    }
+
+    return t("train.title");
+  }, [pageToggle, t]);
+
+  // interaction
+
+  const handleDeleteCategory = useCallback(
     (name: string) => {
-      // Get all image IDs for this face
+      // Get all image IDs for this category
       const imageIds = dataset?.[name] || [];
 
-      onDelete(imageIds, true);
+      onDelete(imageIds, true, name);
       setPageToggle("train");
     },
     [dataset, onDelete, setPageToggle],
@@ -450,7 +594,7 @@ function LibrarySelector({
 
   const handleSetOpen = useCallback(
     (open: boolean) => {
-      setRenameFace(open ? renameClass : null);
+      setRenameClass(open ? renameClass : null);
     },
     [renameClass],
   );
@@ -463,27 +607,44 @@ function LibrarySelector({
       >
         <DialogContent>
           <DialogHeader>
-            <DialogTitle>{t("deleteCategory.title")}</DialogTitle>
+            <DialogTitle>
+              {Object.keys(dataset).length <= 2
+                ? t("deleteCategory.minClassesTitle")
+                : t("deleteCategory.title")}
+            </DialogTitle>
             <DialogDescription>
-              {t("deleteCategory.desc", { name: confirmDelete })}
+              {Object.keys(dataset).length <= 2
+                ? t("deleteCategory.minClassesDesc")
+                : t("deleteCategory.desc", { name: confirmDelete })}
             </DialogDescription>
           </DialogHeader>
           <div className="flex justify-end gap-2">
-            <Button variant="outline" onClick={() => setConfirmDelete(null)}>
-              {t("button.cancel", { ns: "common" })}
-            </Button>
-            <Button
-              variant="destructive"
-              className="text-white"
-              onClick={() => {
-                if (confirmDelete) {
-                  handleDeleteFace(confirmDelete);
-                  setConfirmDelete(null);
-                }
-              }}
-            >
-              {t("button.delete", { ns: "common" })}
-            </Button>
+            {Object.keys(dataset).length <= 2 ? (
+              <Button variant="outline" onClick={() => setConfirmDelete(null)}>
+                {t("button.close", { ns: "common" })}
+              </Button>
+            ) : (
+              <>
+                <Button
+                  variant="outline"
+                  onClick={() => setConfirmDelete(null)}
+                >
+                  {t("button.cancel", { ns: "common" })}
+                </Button>
+                <Button
+                  variant="destructive"
+                  className="text-white"
+                  onClick={() => {
+                    if (confirmDelete) {
+                      handleDeleteCategory(confirmDelete);
+                      setConfirmDelete(null);
+                    }
+                  }}
+                >
+                  {t("button.delete", { ns: "common" })}
+                </Button>
+              </>
+            )}
           </div>
         </DialogContent>
       </Dialog>
@@ -495,17 +656,17 @@ function LibrarySelector({
         description={t("renameCategory.desc", { name: renameClass })}
         onSave={(newName) => {
           onRename(renameClass!, newName);
-          setRenameFace(null);
+          setRenameClass(null);
         }}
         defaultValue={renameClass || ""}
         regexPattern={/^[\p{L}\p{N}\s'_-]{1,50}$/u}
         regexErrorMessage={t("description.invalidName")}
       />
 
-      <DropdownMenu>
+      <DropdownMenu modal={false}>
         <DropdownMenuTrigger asChild>
           <Button className="flex justify-between smart-capitalize">
-            {pageToggle == "train" ? t("train.title") : pageToggle}
+            {pageTitle}
             <span className="ml-2 text-primary-variant">
               (
               {(pageToggle &&
@@ -548,53 +709,55 @@ function LibrarySelector({
                 className="flex-grow cursor-pointer capitalize"
                 onClick={() => setPageToggle(id)}
               >
-                {id.replaceAll("_", " ")}
+                {id === "none" ? t("details.none") : id.replaceAll("_", " ")}
                 <span className="ml-2 text-muted-foreground">
                   ({dataset?.[id].length})
                 </span>
               </div>
-              <div className="flex gap-0.5">
-                <Tooltip>
-                  <TooltipTrigger asChild>
-                    <Button
-                      variant="ghost"
-                      size="icon"
-                      className="size-7 lg:opacity-0 lg:transition-opacity lg:group-hover:opacity-100"
-                      onClick={(e) => {
-                        e.stopPropagation();
-                        setRenameFace(id);
-                      }}
-                    >
-                      <LuPencil className="size-4 text-primary" />
-                    </Button>
-                  </TooltipTrigger>
-                  <TooltipPortal>
-                    <TooltipContent>
-                      {t("button.renameCategory")}
-                    </TooltipContent>
-                  </TooltipPortal>
-                </Tooltip>
-                <Tooltip>
-                  <TooltipTrigger asChild>
-                    <Button
-                      variant="ghost"
-                      size="icon"
-                      className="size-7 lg:opacity-0 lg:transition-opacity lg:group-hover:opacity-100"
-                      onClick={(e) => {
-                        e.stopPropagation();
-                        setConfirmDelete(id);
-                      }}
-                    >
-                      <LuTrash2 className="size-4 text-destructive" />
-                    </Button>
-                  </TooltipTrigger>
-                  <TooltipPortal>
-                    <TooltipContent>
-                      {t("button.deleteCategory")}
-                    </TooltipContent>
-                  </TooltipPortal>
-                </Tooltip>
-              </div>
+              {id != "none" && (
+                <div className="flex gap-0.5">
+                  <Tooltip>
+                    <TooltipTrigger asChild>
+                      <Button
+                        variant="ghost"
+                        size="icon"
+                        className="size-7 lg:opacity-0 lg:transition-opacity lg:group-hover:opacity-100"
+                        onClick={(e) => {
+                          e.stopPropagation();
+                          setRenameClass(id);
+                        }}
+                      >
+                        <LuPencil className="size-4 text-primary" />
+                      </Button>
+                    </TooltipTrigger>
+                    <TooltipPortal>
+                      <TooltipContent>
+                        {t("button.renameCategory")}
+                      </TooltipContent>
+                    </TooltipPortal>
+                  </Tooltip>
+                  <Tooltip>
+                    <TooltipTrigger asChild>
+                      <Button
+                        variant="ghost"
+                        size="icon"
+                        className="size-7 lg:opacity-0 lg:transition-opacity lg:group-hover:opacity-100"
+                        onClick={(e) => {
+                          e.stopPropagation();
+                          setConfirmDelete(id);
+                        }}
+                      >
+                        <LuTrash2 className="size-4 text-destructive" />
+                      </Button>
+                    </TooltipTrigger>
+                    <TooltipPortal>
+                      <TooltipContent>
+                        {t("button.deleteCategory")}
+                      </TooltipContent>
+                    </TooltipPortal>
+                  </Tooltip>
+                </div>
+              )}
             </DropdownMenuItem>
           ))}
         </DropdownMenuContent>
@@ -631,37 +794,38 @@ function DatasetGrid({
   return (
     <div
       ref={contentRef}
-      className="scrollbar-container flex flex-wrap gap-2 overflow-y-auto p-2"
+      className="scrollbar-container grid grid-cols-2 gap-2 overflow-y-scroll p-1 md:grid-cols-4 xl:grid-cols-8 2xl:grid-cols-10 3xl:grid-cols-12"
     >
       {classData.map((image) => (
-        <ClassificationCard
-          key={image}
-          className="w-60 gap-4 rounded-lg bg-card p-2"
-          imgClassName="size-auto"
-          data={{
-            filename: image,
-            filepath: `clips/${modelName}/dataset/${categoryName}/${image}`,
-            name: "",
-          }}
-          selected={selectedImages.includes(image)}
-          i18nLibrary="views/classificationModel"
-          onClick={(data, _) => onClickImages([data.filename], true)}
-        >
-          <Tooltip>
-            <TooltipTrigger>
-              <LuTrash2
-                className="size-5 cursor-pointer text-primary-variant hover:text-primary"
-                onClick={(e) => {
-                  e.stopPropagation();
-                  onDelete([image]);
-                }}
-              />
-            </TooltipTrigger>
-            <TooltipContent>
-              {t("button.deleteClassificationAttempts")}
-            </TooltipContent>
-          </Tooltip>
-        </ClassificationCard>
+        <div key={image} className="aspect-square w-full">
+          <ClassificationCard
+            data={{
+              filename: image,
+              filepath: `clips/${modelName}/dataset/${categoryName}/${image}`,
+              name: "",
+            }}
+            showArea={false}
+            clickable={selectedImages.length > 0}
+            selected={selectedImages.includes(image)}
+            i18nLibrary="views/classificationModel"
+            onClick={(data, _) => onClickImages([data.filename], true)}
+          >
+            <Tooltip>
+              <TooltipTrigger>
+                <LuTrash2
+                  className="size-5 cursor-pointer text-primary-variant hover:text-danger"
+                  onClick={(e) => {
+                    e.stopPropagation();
+                    onDelete([image]);
+                  }}
+                />
+              </TooltipTrigger>
+              <TooltipContent>
+                {t("button.deleteClassificationAttempts")}
+              </TooltipContent>
+            </Tooltip>
+          </ClassificationCard>
+        </div>
       ))}
     </div>
   );
@@ -705,6 +869,12 @@ function TrainGrid({
           };
         })
         .filter((data) => {
+          // Ignore images that don't match the expected format (event-camera-timestamp-state-score.webp)
+          // Expected format has 5 parts when split by "-", and score should be a valid number
+          if (data.score === undefined || isNaN(data.score) || !data.name) {
+            return false;
+          }
+
           if (!trainFilter) {
             return true;
           }
@@ -713,17 +883,11 @@ function TrainGrid({
             return false;
           }
 
-          if (
-            trainFilter.min_score &&
-            trainFilter.min_score > data.score / 100.0
-          ) {
+          if (trainFilter.min_score && trainFilter.min_score > data.score) {
             return false;
           }
 
-          if (
-            trainFilter.max_score &&
-            trainFilter.max_score < data.score / 100.0
-          ) {
+          if (trainFilter.max_score && trainFilter.max_score < data.score) {
             return false;
           }
 
@@ -757,7 +921,6 @@ function TrainGrid({
       selectedImages={selectedImages}
       onClickImages={onClickImages}
       onRefresh={onRefresh}
-      onDelete={onDelete}
     />
   );
 }
@@ -780,10 +943,7 @@ function StateTrainGrid({
   selectedImages,
   onClickImages,
   onRefresh,
-  onDelete,
 }: StateTrainGridProps) {
-  const { t } = useTranslation(["views/classificationModel"]);
-
   const threshold = useMemo(() => {
     return {
       recognition: model.threshold,
@@ -795,45 +955,32 @@ function StateTrainGrid({
     <div
       ref={contentRef}
       className={cn(
-        "scrollbar-container flex flex-wrap gap-2 overflow-y-auto p-2",
-        isMobile && "justify-center",
+        "scrollbar-container grid grid-cols-2 gap-3 overflow-y-scroll p-1 sm:grid-cols-3 md:grid-cols-4 lg:grid-cols-6 xl:grid-cols-8 2xl:grid-cols-10 3xl:grid-cols-12",
       )}
     >
       {trainData?.map((data) => (
-        <ClassificationCard
-          key={data.filename}
-          className="w-60 gap-2 rounded-lg bg-card p-2"
-          imgClassName="size-auto"
-          data={data}
-          threshold={threshold}
-          selected={selectedImages.includes(data.filename)}
-          i18nLibrary="views/classificationModel"
-          showArea={false}
-          onClick={(data, meta) => onClickImages([data.filename], meta)}
-        >
-          <ClassificationSelectionDialog
-            classes={classes}
-            modelName={model.name}
-            image={data.filename}
-            onRefresh={onRefresh}
+        <div key={data.filename} className="aspect-square w-full">
+          <ClassificationCard
+            data={data}
+            threshold={threshold}
+            selected={selectedImages.includes(data.filename)}
+            clickable={selectedImages.length > 0}
+            i18nLibrary="views/classificationModel"
+            showArea={false}
+            onClick={(data, meta) => onClickImages([data.filename], meta)}
           >
-            <TbCategoryPlus className="size-5 cursor-pointer text-primary-variant hover:text-primary" />
-          </ClassificationSelectionDialog>
-          <Tooltip>
-            <TooltipTrigger>
-              <LuTrash2
-                className="size-5 cursor-pointer text-primary-variant hover:text-primary"
-                onClick={(e) => {
-                  e.stopPropagation();
-                  onDelete([data.filename]);
-                }}
-              />
-            </TooltipTrigger>
-            <TooltipContent>
-              {t("button.deleteClassificationAttempts")}
-            </TooltipContent>
-          </Tooltip>
-        </ClassificationCard>
+            <ClassificationSelectionDialog
+              classes={classes}
+              modelName={model.name}
+              image={data.filename}
+              onRefresh={onRefresh}
+            >
+              <BlurredIconButton>
+                <TbCategoryPlus className="size-5" />
+              </BlurredIconButton>
+            </ClassificationSelectionDialog>
+          </ClassificationCard>
+        </div>
       ))}
     </div>
   );
@@ -847,7 +994,6 @@ type ObjectTrainGridProps = {
   selectedImages: string[];
   onClickImages: (images: string[], ctrl: boolean) => void;
   onRefresh: () => void;
-  onDelete: (ids: string[]) => void;
 };
 function ObjectTrainGrid({
   model,
@@ -857,10 +1003,7 @@ function ObjectTrainGrid({
   selectedImages,
   onClickImages,
   onRefresh,
-  onDelete,
 }: ObjectTrainGridProps) {
-  const { t } = useTranslation(["views/classificationModel"]);
-
   // item data
 
   const groups = useMemo(() => {
@@ -894,10 +1037,37 @@ function ObjectTrainGrid({
     };
   }, [model]);
 
+  // Helper function to create ClassifiedEvent from Event
+  const createClassifiedEvent = useCallback(
+    (event: Event | undefined): ClassifiedEvent | undefined => {
+      if (!event || !model.object_config) {
+        return undefined;
+      }
+
+      let label: string | undefined = undefined;
+      let score: number | undefined = undefined;
+
+      if (model.object_config.classification_type === "attribute") {
+        label = event.data[model.name] as string | undefined;
+        score = event.data[`${model.name}_score`] as number | undefined;
+      } else {
+        label = event.sub_label;
+        score = event.data.sub_label_score;
+      }
+
+      return {
+        id: event.id,
+        label: label,
+        score: score,
+      };
+    },
+    [model],
+  );
+
   // selection
 
   const [selectedEvent, setSelectedEvent] = useState<Event>();
-  const [dialogTab, setDialogTab] = useState<SearchTab>("details");
+  const [dialogTab, setDialogTab] = useState<SearchTab>("snapshot");
 
   // handlers
 
@@ -950,55 +1120,48 @@ function ObjectTrainGrid({
 
       <div
         ref={contentRef}
-        className="scrollbar-container flex flex-wrap gap-2 overflow-y-scroll p-1"
+        className={cn(
+          "scrollbar-container grid grid-cols-2 gap-3 overflow-y-scroll p-1 sm:grid-cols-3 md:grid-cols-4 lg:grid-cols-6 xl:grid-cols-8 2xl:grid-cols-10 3xl:grid-cols-12",
+        )}
       >
         {Object.entries(groups).map(([key, group]) => {
           const event = events?.find((ev) => ev.id == key);
+          const classifiedEvent = createClassifiedEvent(event);
+
           return (
-            <GroupedClassificationCard
-              key={key}
-              group={group}
-              event={event}
-              threshold={threshold}
-              selectedItems={selectedImages}
-              i18nLibrary="views/classificationModel"
-              objectType={model.object_config?.objects?.at(0) ?? "Object"}
-              onClick={(data) => {
-                if (data) {
-                  onClickImages([data.filename], true);
-                } else {
-                  handleClickEvent(group, event, true);
-                }
-              }}
-              onSelectEvent={() => {}}
-            >
-              {(data) => (
-                <>
-                  <ClassificationSelectionDialog
-                    classes={classes}
-                    modelName={model.name}
-                    image={data.filename}
-                    onRefresh={onRefresh}
-                  >
-                    <TbCategoryPlus className="size-5 cursor-pointer text-primary-variant hover:text-primary" />
-                  </ClassificationSelectionDialog>
-                  <Tooltip>
-                    <TooltipTrigger>
-                      <LuTrash2
-                        className="size-5 cursor-pointer text-primary-variant hover:text-primary"
-                        onClick={(e) => {
-                          e.stopPropagation();
-                          onDelete([data.filename]);
-                        }}
-                      />
-                    </TooltipTrigger>
-                    <TooltipContent>
-                      {t("button.deleteClassificationAttempts")}
-                    </TooltipContent>
-                  </Tooltip>
-                </>
-              )}
-            </GroupedClassificationCard>
+            <div key={key} className="aspect-square w-full">
+              <GroupedClassificationCard
+                group={group}
+                classifiedEvent={classifiedEvent}
+                threshold={threshold}
+                selectedItems={selectedImages}
+                i18nLibrary="views/classificationModel"
+                objectType={model.object_config?.objects?.at(0) ?? "Object"}
+                noClassificationLabel="details.none"
+                onClick={(data) => {
+                  if (data) {
+                    onClickImages([data.filename], true);
+                  } else {
+                    handleClickEvent(group, event, true);
+                  }
+                }}
+              >
+                {(data) => (
+                  <>
+                    <ClassificationSelectionDialog
+                      classes={classes}
+                      modelName={model.name}
+                      image={data.filename}
+                      onRefresh={onRefresh}
+                    >
+                      <BlurredIconButton>
+                        <TbCategoryPlus className="size-5" />
+                      </BlurredIconButton>
+                    </ClassificationSelectionDialog>
+                  </>
+                )}
+              </GroupedClassificationCard>
+            </div>
           );
         })}
       </div>
diff --git a/web/src/views/events/EventView.tsx b/web/src/views/events/EventView.tsx
index ca77b22c7..70067ff5c 100644
--- a/web/src/views/events/EventView.tsx
+++ b/web/src/views/events/EventView.tsx
@@ -19,6 +19,7 @@ import {
   ReviewSeverity,
   ReviewSummary,
   SegmentedReviewData,
+  ZoomLevel,
 } from "@/types/review";
 import { getChunkedTimeRange } from "@/utils/timelineUtil";
 import axios from "axios";
@@ -53,10 +54,10 @@ import { cn } from "@/lib/utils";
 import { FilterList, LAST_24_HOURS_KEY } from "@/types/filter";
 import { GiSoundWaves } from "react-icons/gi";
 import useKeyboardListener from "@/hooks/use-keyboard-listener";
-import ReviewDetailDialog from "@/components/overlay/detail/ReviewDetailDialog";
-
 import { useTimelineZoom } from "@/hooks/use-timeline-zoom";
 import { useTranslation } from "react-i18next";
+import { EmptyCard } from "@/components/card/EmptyCard";
+import { EmptyCardData } from "@/types/card";
 
 type EventViewProps = {
   reviewItems?: SegmentedReviewData;
@@ -133,13 +134,31 @@ export default function EventView({
     }
   }, [filter, showReviewed, reviewSummary]);
 
+  const emptyCardData: EmptyCardData = useMemo(() => {
+    if (
+      !config ||
+      Object.values(config.cameras).find(
+        (cam) => cam.record.enabled_in_config,
+      ) != undefined
+    ) {
+      return {
+        title: t("empty." + severity.replace(/_/g, " ")),
+      };
+    }
+
+    return {
+      title: t("empty.recordingsDisabled.title"),
+      description: t("empty.recordingsDisabled.description"),
+    };
+  }, [config, severity, t]);
+
   // review interaction
 
-  const [selectedReviews, setSelectedReviews] = useState<string[]>([]);
+  const [selectedReviews, setSelectedReviews] = useState<ReviewSegment[]>([]);
   const onSelectReview = useCallback(
-    (review: ReviewSegment, ctrl: boolean) => {
+    (review: ReviewSegment, ctrl: boolean, detail: boolean) => {
       if (selectedReviews.length > 0 || ctrl) {
-        const index = selectedReviews.indexOf(review.id);
+        const index = selectedReviews.findIndex((r) => r.id === review.id);
 
         if (index != -1) {
           if (selectedReviews.length == 1) {
@@ -153,21 +172,35 @@ export default function EventView({
           }
         } else {
           const copy = [...selectedReviews];
-          copy.push(review.id);
+          copy.push(review);
           setSelectedReviews(copy);
         }
       } else {
+        // If a specific date is selected in the calendar and it's after the event start,
+        // use the selected date instead of the event start time
+        const effectiveStartTime =
+          timeRange.after > review.start_time
+            ? timeRange.after
+            : review.start_time;
+
         onOpenRecording({
           camera: review.camera,
-          startTime: review.start_time - REVIEW_PADDING,
+          startTime: effectiveStartTime - REVIEW_PADDING,
           severity: review.severity,
+          timelineType: detail ? "detail" : undefined,
         });
 
         review.has_been_reviewed = true;
         markItemAsReviewed(review);
       }
     },
-    [selectedReviews, setSelectedReviews, onOpenRecording, markItemAsReviewed],
+    [
+      selectedReviews,
+      setSelectedReviews,
+      onOpenRecording,
+      markItemAsReviewed,
+      timeRange.after,
+    ],
   );
   const onSelectAllReviews = useCallback(() => {
     if (!currentReviewItems || currentReviewItems.length == 0) {
@@ -175,7 +208,7 @@ export default function EventView({
     }
 
     if (selectedReviews.length < currentReviewItems.length) {
-      setSelectedReviews(currentReviewItems.map((seg) => seg.id));
+      setSelectedReviews(currentReviewItems);
     } else {
       setSelectedReviews([]);
     }
@@ -204,6 +237,13 @@ export default function EventView({
               t("export.toast.success", { ns: "components/dialog" }),
               {
                 position: "top-center",
+                action: (
+                  <a href="/export" target="_blank" rel="noopener noreferrer">
+                    <Button>
+                      {t("export.toast.view", { ns: "components/dialog" })}
+                    </Button>
+                  </a>
+                ),
               },
             );
           }
@@ -392,6 +432,7 @@ export default function EventView({
             timeRange={timeRange}
             startTime={startTime}
             loading={severity != severityToggle}
+            emptyCardData={emptyCardData}
             markItemAsReviewed={markItemAsReviewed}
             markAllItemsAsReviewed={markAllItemsAsReviewed}
             onSelectReview={onSelectReview}
@@ -410,6 +451,7 @@ export default function EventView({
             startTime={startTime}
             filter={filter}
             motionOnly={motionOnly}
+            emptyCardData={emptyCardData}
             onOpenRecording={onOpenRecording}
           />
         )}
@@ -429,17 +471,22 @@ type DetectionReviewProps = {
   currentItems: ReviewSegment[] | null;
   itemsToReview?: number;
   relevantPreviews?: Preview[];
-  selectedReviews: string[];
+  selectedReviews: ReviewSegment[];
   severity: ReviewSeverity;
   filter?: ReviewFilter;
   timeRange: { before: number; after: number };
   startTime?: number;
   loading: boolean;
+  emptyCardData: EmptyCardData;
   markItemAsReviewed: (review: ReviewSegment) => void;
   markAllItemsAsReviewed: (currentItems: ReviewSegment[]) => void;
-  onSelectReview: (review: ReviewSegment, ctrl: boolean) => void;
+  onSelectReview: (
+    review: ReviewSegment,
+    ctrl: boolean,
+    detail: boolean,
+  ) => void;
   onSelectAllReviews: () => void;
-  setSelectedReviews: (reviewIds: string[]) => void;
+  setSelectedReviews: (reviews: ReviewSegment[]) => void;
   pullLatestData: () => void;
 };
 function DetectionReview({
@@ -454,6 +501,7 @@ function DetectionReview({
   timeRange,
   startTime,
   loading,
+  emptyCardData,
   markItemAsReviewed,
   markAllItemsAsReviewed,
   onSelectReview,
@@ -465,10 +513,6 @@ function DetectionReview({
 
   const reviewTimelineRef = useRef<HTMLDivElement>(null);
 
-  // detail
-
-  const [reviewDetail, setReviewDetail] = useState<ReviewSegment>();
-
   // preview
 
   const [previewTime, setPreviewTime] = useState<number>();
@@ -499,7 +543,7 @@ function DetectionReview({
     timestampSpread: 15,
   });
 
-  const possibleZoomLevels = useMemo(
+  const possibleZoomLevels: ZoomLevel[] = useMemo(
     () => [
       { segmentDuration: 60, timestampSpread: 15 },
       { segmentDuration: 30, timestampSpread: 5 },
@@ -515,6 +559,14 @@ function DetectionReview({
     [possibleZoomLevels],
   );
 
+  const currentZoomLevel = useMemo(
+    () =>
+      possibleZoomLevels.findIndex(
+        (level) => level.segmentDuration === zoomSettings.segmentDuration,
+      ),
+    [possibleZoomLevels, zoomSettings.segmentDuration],
+  );
+
   const { isZooming, zoomDirection } = useTimelineZoom({
     zoomSettings,
     zoomLevels: possibleZoomLevels,
@@ -667,7 +719,7 @@ function DetectionReview({
         case "r":
           if (selectedReviews.length > 0 && !modifiers.repeat) {
             currentItems?.forEach((item) => {
-              if (selectedReviews.includes(item.id)) {
+              if (selectedReviews.some((r) => r.id === item.id)) {
                 item.has_been_reviewed = true;
                 markItemAsReviewed(item);
               }
@@ -688,8 +740,6 @@ function DetectionReview({
 
   return (
     <>
-      <ReviewDetailDialog review={reviewDetail} setReview={setReviewDetail} />
-
       <div
         ref={contentRef}
         className="no-scrollbar flex flex-1 flex-wrap content-start gap-2 overflow-y-auto md:gap-4"
@@ -711,10 +761,13 @@ function DetectionReview({
         )}
 
         {!loading && currentItems?.length === 0 && (
-          <div className="absolute left-1/2 top-1/2 flex -translate-x-1/2 -translate-y-1/2 flex-col items-center justify-center text-center">
-            <LuFolderCheck className="size-16" />
-            {t("empty." + severity.replace(/_/g, " "))}
-          </div>
+          <EmptyCard
+            className="absolute left-[50%] top-[50%] -translate-x-1/2 -translate-y-1/2 items-center text-center"
+            title={emptyCardData.title}
+            titleHeading={false}
+            description={emptyCardData.description}
+            icon={<LuFolderCheck className="size-16" />}
+          />
         )}
 
         <div
@@ -723,7 +776,7 @@ function DetectionReview({
         >
           {!loading && currentItems
             ? currentItems.map((value) => {
-                const selected = selectedReviews.includes(value.id);
+                const selected = selectedReviews.some((r) => r.id === value.id);
 
                 return (
                   <div
@@ -749,11 +802,7 @@ function DetectionReview({
                           ctrl: boolean,
                           detail: boolean,
                         ) => {
-                          if (detail) {
-                            setReviewDetail(review);
-                          } else {
-                            onSelectReview(review, ctrl);
-                          }
+                          onSelectReview(review, ctrl, detail);
                         }}
                       />
                     </div>
@@ -779,7 +828,7 @@ function DetectionReview({
             (itemsToReview ?? 0) > 0 && (
               <div className="col-span-full flex items-center justify-center">
                 <Button
-                  className="text-white"
+                  className="text-balance text-white"
                   aria-label={t("markTheseItemsAsReviewed")}
                   variant="select"
                   onClick={() => {
@@ -794,7 +843,7 @@ function DetectionReview({
         </div>
       </div>
       <div className="flex w-[65px] flex-row md:w-[110px]">
-        <div className="no-scrollbar w-[55px] md:w-[100px]">
+        <div className="no-scrollbar relative w-[55px] md:w-[100px]">
           {loading ? (
             <Skeleton className="size-full" />
           ) : (
@@ -816,6 +865,8 @@ function DetectionReview({
               dense={isMobile}
               isZooming={isZooming}
               zoomDirection={zoomDirection}
+              possibleZoomLevels={possibleZoomLevels}
+              currentZoomLevel={currentZoomLevel}
             />
           )}
         </div>
@@ -851,6 +902,7 @@ type MotionReviewProps = {
   startTime?: number;
   filter?: ReviewFilter;
   motionOnly?: boolean;
+  emptyCardData: EmptyCardData;
   onOpenRecording: (data: RecordingStartingPoint) => void;
 };
 function MotionReview({
@@ -861,9 +913,9 @@ function MotionReview({
   startTime,
   filter,
   motionOnly = false,
+  emptyCardData,
   onOpenRecording,
 }: MotionReviewProps) {
-  const { t } = useTranslation(["views/events"]);
   const segmentDuration = 30;
   const { data: config } = useSWR<FrigateConfig>("config");
 
@@ -890,11 +942,20 @@ function MotionReview({
 
   // motion data
 
+  const { alignStartDateToTimeline, alignEndDateToTimeline } = useTimelineUtils(
+    {
+      segmentDuration,
+    },
+  );
+
+  const alignedAfter = alignStartDateToTimeline(timeRange.after);
+  const alignedBefore = alignEndDateToTimeline(timeRange.before);
+
   const { data: motionData } = useSWR<MotionData[]>([
     "review/activity/motion",
     {
-      before: timeRange.before,
-      after: timeRange.after,
+      before: alignedBefore,
+      after: alignedAfter,
       scale: segmentDuration / 2,
       cameras: filter?.cameras?.join(",") ?? null,
     },
@@ -1001,10 +1062,6 @@ function MotionReview({
     }
   }, [playing, playbackRate, nextTimestamp, setPlaying, timeRange]);
 
-  const { alignStartDateToTimeline } = useTimelineUtils({
-    segmentDuration,
-  });
-
   const getDetectionType = useCallback(
     (cameraName: string) => {
       if (motionOnly) {
@@ -1051,9 +1108,12 @@ function MotionReview({
 
   if (motionData?.length === 0) {
     return (
-      <div className="absolute left-1/2 top-1/2 flex -translate-x-1/2 -translate-y-1/2 flex-col items-center justify-center text-center">
-        <LuFolderX className="size-16" />
-        {t("empty.motion")}
+      <div className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2">
+        <EmptyCard
+          title={emptyCardData.title}
+          description={emptyCardData.description}
+          icon={<LuFolderX className="size-16" />}
+        />
       </div>
     );
   }
@@ -1154,6 +1214,7 @@ function MotionReview({
             dense={isMobileOnly}
             isZooming={false}
             zoomDirection={null}
+            alwaysShowMotionLine={true}
           />
         ) : (
           <Skeleton className="size-full" />
diff --git a/web/src/views/explore/ExploreView.tsx b/web/src/views/explore/ExploreView.tsx
index 4472d4ac6..88f6c8b88 100644
--- a/web/src/views/explore/ExploreView.tsx
+++ b/web/src/views/explore/ExploreView.tsx
@@ -11,28 +11,26 @@ import {
   TooltipTrigger,
 } from "@/components/ui/tooltip";
 import { TooltipPortal } from "@radix-ui/react-tooltip";
-import { SearchResult } from "@/types/search";
+import { EventType, SearchResult } from "@/types/search";
 import ImageLoadingIndicator from "@/components/indicators/ImageLoadingIndicator";
 import useImageLoaded from "@/hooks/use-image-loaded";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import { useTrackedObjectUpdate } from "@/api/ws";
-import { isEqual } from "lodash";
 import TimeAgo from "@/components/dynamic/TimeAgo";
 import SearchResultActions from "@/components/menu/SearchResultActions";
 import { SearchTab } from "@/components/overlay/detail/SearchDetailDialog";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { useTranslation } from "react-i18next";
 import { getTranslatedLabel } from "@/utils/i18n";
+import { LuSearchX } from "react-icons/lu";
 
 type ExploreViewProps = {
-  searchDetail: SearchResult | undefined;
   setSearchDetail: (search: SearchResult | undefined) => void;
   setSimilaritySearch: (search: SearchResult) => void;
   onSelectSearch: (item: SearchResult, ctrl: boolean, page?: SearchTab) => void;
 };
 
 export default function ExploreView({
-  searchDetail,
   setSearchDetail,
   setSimilaritySearch,
   onSelectSearch,
@@ -83,26 +81,21 @@ export default function ExploreView({
     }
   }, [wsUpdate, mutate]);
 
-  // update search detail when results change
-
-  useEffect(() => {
-    if (searchDetail && events) {
-      const updatedSearchDetail = events.find(
-        (result) => result.id === searchDetail.id,
-      );
-
-      if (updatedSearchDetail && !isEqual(updatedSearchDetail, searchDetail)) {
-        setSearchDetail(updatedSearchDetail);
-      }
-    }
-  }, [events, searchDetail, setSearchDetail]);
-
   if (isLoading) {
     return (
       <ActivityIndicator className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2" />
     );
   }
 
+  if (eventsByLabel && Object.keys(eventsByLabel).length == 0 && !isLoading) {
+    return (
+      <div className="absolute left-1/2 top-1/2 flex -translate-x-1/2 -translate-y-1/2 flex-col items-center justify-center text-center">
+        <LuSearchX className="size-16" />
+        {t("noTrackedObjects")}
+      </div>
+    );
+  }
+
   return (
     <div className="mx-2 space-y-4">
       {Object.entries(eventsByLabel).map(([label, filteredEvents]) => (
@@ -110,7 +103,8 @@ export default function ExploreView({
           key={label}
           searchResults={filteredEvents}
           isValidating={isValidating}
-          objectType={label}
+          label={label}
+          labelType={filteredEvents[0]?.data?.type || "object"}
           setSearchDetail={setSearchDetail}
           mutate={mutate}
           setSimilaritySearch={setSimilaritySearch}
@@ -122,7 +116,8 @@ export default function ExploreView({
 }
 
 type ThumbnailRowType = {
-  objectType: string;
+  label: string;
+  labelType: EventType;
   searchResults?: SearchResult[];
   isValidating: boolean;
   setSearchDetail: (search: SearchResult | undefined) => void;
@@ -132,7 +127,8 @@ type ThumbnailRowType = {
 };
 
 function ThumbnailRow({
-  objectType,
+  label,
+  labelType,
   searchResults,
   isValidating,
   setSearchDetail,
@@ -153,7 +149,7 @@ function ThumbnailRow({
   return (
     <div className="rounded-lg bg-background_alt p-2 md:px-4">
       <div className="flex flex-row items-center text-lg smart-capitalize">
-        {getTranslatedLabel(objectType)}
+        {getTranslatedLabel(label, labelType)}
         {searchResults && (
           <span className="ml-3 text-sm text-secondary-foreground">
             {t("trackedObjectsCount", {
@@ -181,7 +177,7 @@ function ThumbnailRow({
         ))}
         <div
           className="flex cursor-pointer items-center justify-center"
-          onClick={() => handleSearch(objectType)}
+          onClick={() => handleSearch(label)}
         >
           <Tooltip>
             <TooltipTrigger>
@@ -192,7 +188,9 @@ function ThumbnailRow({
             </TooltipTrigger>
             <TooltipPortal>
               <TooltipContent>
-                {t("exploreMore", { label: getTranslatedLabel(objectType) })}
+                {t("exploreMore", {
+                  label: getTranslatedLabel(label, labelType),
+                })}
               </TooltipContent>
             </TooltipPortal>
           </Tooltip>
@@ -227,12 +225,8 @@ function ExploreThumbnailImage({
     }
   };
 
-  const handleShowObjectLifecycle = () => {
-    onSelectSearch(event, false, "object_lifecycle");
-  };
-
-  const handleShowSnapshot = () => {
-    onSelectSearch(event, false, "snapshot");
+  const handleShowTrackingDetails = () => {
+    onSelectSearch(event, false, "tracking_details");
   };
 
   const handleAddTrigger = () => {
@@ -246,8 +240,7 @@ function ExploreThumbnailImage({
       searchResult={event}
       findSimilar={handleFindSimilar}
       refreshResults={mutate}
-      showObjectLifecycle={handleShowObjectLifecycle}
-      showSnapshot={handleShowSnapshot}
+      showTrackingDetails={handleShowTrackingDetails}
       addTrigger={handleAddTrigger}
       isContextMenu={true}
     >
diff --git a/web/src/views/live/DraggableGridLayout.tsx b/web/src/views/live/DraggableGridLayout.tsx
index ccd1b373b..5b875ae5c 100644
--- a/web/src/views/live/DraggableGridLayout.tsx
+++ b/web/src/views/live/DraggableGridLayout.tsx
@@ -1,4 +1,4 @@
-import { usePersistence } from "@/hooks/use-persistence";
+import { useUserPersistence } from "@/hooks/use-user-persistence";
 import {
   AllGroupsStreamingSettings,
   BirdseyeConfig,
@@ -24,6 +24,7 @@ import "react-resizable/css/styles.css";
 import {
   AudioState,
   LivePlayerMode,
+  LiveStreamMetadata,
   StatsState,
   VolumeState,
 } from "@/types/live";
@@ -39,7 +40,7 @@ import { IoClose } from "react-icons/io5";
 import { LuLayoutDashboard, LuPencil } from "react-icons/lu";
 import { cn } from "@/lib/utils";
 import { EditGroupDialog } from "@/components/filter/CameraGroupSelector";
-import { usePersistedOverlayState } from "@/hooks/use-overlay-state";
+import { useUserPersistedOverlayState } from "@/hooks/use-overlay-state";
 import { FaCompress, FaExpand } from "react-icons/fa";
 import {
   Tooltip,
@@ -47,7 +48,6 @@ import {
   TooltipContent,
 } from "@/components/ui/tooltip";
 import { Toaster } from "@/components/ui/sonner";
-import useCameraLiveMode from "@/hooks/use-camera-live-mode";
 import LiveContextMenu from "@/components/menu/LiveContextMenu";
 import { useStreamingSettings } from "@/context/streaming-settings-provider";
 import { useTranslation } from "react-i18next";
@@ -65,6 +65,16 @@ type DraggableGridLayoutProps = {
   setIsEditMode: React.Dispatch<React.SetStateAction<boolean>>;
   fullscreen: boolean;
   toggleFullscreen: () => void;
+  preferredLiveModes: { [key: string]: LivePlayerMode };
+  setPreferredLiveModes: React.Dispatch<
+    React.SetStateAction<{ [key: string]: LivePlayerMode }>
+  >;
+  resetPreferredLiveMode: (cameraName: string) => void;
+  isRestreamedStates: { [key: string]: boolean };
+  supportsAudioOutputStates: {
+    [key: string]: { supportsAudio: boolean; cameraName: string };
+  };
+  streamMetadata: { [key: string]: LiveStreamMetadata };
 };
 export default function DraggableGridLayout({
   cameras,
@@ -79,6 +89,12 @@ export default function DraggableGridLayout({
   setIsEditMode,
   fullscreen,
   toggleFullscreen,
+  preferredLiveModes,
+  setPreferredLiveModes,
+  resetPreferredLiveMode,
+  isRestreamedStates,
+  supportsAudioOutputStates,
+  streamMetadata,
 }: DraggableGridLayoutProps) {
   const { t } = useTranslation(["views/live"]);
   const { data: config } = useSWR<FrigateConfig>("config");
@@ -86,15 +102,8 @@ export default function DraggableGridLayout({
 
   // preferred live modes per camera
 
-  const {
-    preferredLiveModes,
-    setPreferredLiveModes,
-    resetPreferredLiveMode,
-    isRestreamedStates,
-    supportsAudioOutputStates,
-  } = useCameraLiveMode(cameras, windowVisible);
-
-  const [globalAutoLive] = usePersistence("autoLiveView", true);
+  const [globalAutoLive] = useUserPersistence("autoLiveView", true);
+  const [displayCameraNames] = useUserPersistence("displayCameraNames", false);
 
   const { allGroupsStreamingSettings, setAllGroupsStreamingSettings } =
     useStreamingSettings();
@@ -109,11 +118,14 @@ export default function DraggableGridLayout({
 
   const ResponsiveGridLayout = useMemo(() => WidthProvider(Responsive), []);
 
-  const [gridLayout, setGridLayout, isGridLayoutLoaded] = usePersistence<
+  const [gridLayout, setGridLayout, isGridLayoutLoaded] = useUserPersistence<
     Layout[]
   >(`${cameraGroup}-draggable-layout`);
 
-  const [group] = usePersistedOverlayState("cameraGroup", "default" as string);
+  const [group] = useUserPersistedOverlayState(
+    "cameraGroup",
+    "default" as string,
+  );
 
   const groups = useMemo(() => {
     if (!config) {
@@ -133,6 +145,11 @@ export default function DraggableGridLayout({
   useEffect(() => {
     setIsEditMode(false);
     setEditGroup(false);
+    // Reset camera tracking state when group changes to prevent the camera-change
+    // effect from incorrectly overwriting the loaded layout
+    setCurrentCameras(undefined);
+    setCurrentIncludeBirdseye(undefined);
+    setCurrentGridLayout(undefined);
   }, [cameraGroup, setIsEditMode]);
 
   // camera state
@@ -156,104 +173,120 @@ export default function DraggableGridLayout({
     [setGridLayout, isGridLayoutLoaded, gridLayout, currentGridLayout],
   );
 
-  const generateLayout = useCallback(() => {
-    if (!isGridLayoutLoaded) {
-      return;
-    }
-
-    const cameraNames =
-      includeBirdseye && birdseyeConfig?.enabled
-        ? ["birdseye", ...cameras.map((camera) => camera?.name || "")]
-        : cameras.map((camera) => camera?.name || "");
-
-    const optionsMap: Layout[] = currentGridLayout
-      ? currentGridLayout.filter((layout) => cameraNames?.includes(layout.i))
-      : [];
-
-    cameraNames.forEach((cameraName, index) => {
-      const existingLayout = optionsMap.find(
-        (layout) => layout.i === cameraName,
-      );
-
-      // Skip if the camera already exists in the layout
-      if (existingLayout) {
+  const generateLayout = useCallback(
+    (baseLayout: Layout[] | undefined) => {
+      if (!isGridLayoutLoaded) {
         return;
       }
 
-      let aspectRatio;
-      let col;
+      const cameraNames =
+        includeBirdseye && birdseyeConfig?.enabled
+          ? ["birdseye", ...cameras.map((camera) => camera?.name || "")]
+          : cameras.map((camera) => camera?.name || "");
 
-      // Handle "birdseye" camera as a special case
-      if (cameraName === "birdseye") {
-        aspectRatio =
-          (birdseyeConfig?.width || 1) / (birdseyeConfig?.height || 1);
-        col = 0; // Set birdseye camera in the first column
-      } else {
-        const camera = cameras.find((cam) => cam.name === cameraName);
-        aspectRatio =
-          (camera && camera?.detect.width / camera?.detect.height) || 16 / 9;
-        col = index % 3; // Regular cameras distributed across columns
-      }
+      const optionsMap: Layout[] = baseLayout
+        ? baseLayout.filter((layout) => cameraNames?.includes(layout.i))
+        : [];
 
-      // Calculate layout options based on aspect ratio
-      const columnsPerPlayer = 4;
-      let height;
-      let width;
+      cameraNames.forEach((cameraName, index) => {
+        const existingLayout = optionsMap.find(
+          (layout) => layout.i === cameraName,
+        );
 
-      if (aspectRatio < 1) {
-        // Portrait
-        height = 2 * columnsPerPlayer;
-        width = columnsPerPlayer;
-      } else if (aspectRatio > 2) {
-        // Wide
-        height = 1 * columnsPerPlayer;
-        width = 2 * columnsPerPlayer;
-      } else {
-        // Landscape
-        height = 1 * columnsPerPlayer;
-        width = columnsPerPlayer;
-      }
+        // Skip if the camera already exists in the layout
+        if (existingLayout) {
+          return;
+        }
 
-      const options = {
-        i: cameraName,
-        x: col * width,
-        y: 0, // don't set y, grid does automatically
-        w: width,
-        h: height,
-      };
+        let aspectRatio;
+        let col;
 
-      optionsMap.push(options);
-    });
+        // Handle "birdseye" camera as a special case
+        if (cameraName === "birdseye") {
+          aspectRatio =
+            (birdseyeConfig?.width || 1) / (birdseyeConfig?.height || 1);
+          col = 0; // Set birdseye camera in the first column
+        } else {
+          const camera = cameras.find((cam) => cam.name === cameraName);
+          aspectRatio =
+            (camera && camera?.detect.width / camera?.detect.height) || 16 / 9;
+          col = index % 3; // Regular cameras distributed across columns
+        }
 
-    return optionsMap;
-  }, [
-    cameras,
-    isGridLayoutLoaded,
-    currentGridLayout,
-    includeBirdseye,
-    birdseyeConfig,
-  ]);
+        // Calculate layout options based on aspect ratio
+        const columnsPerPlayer = 4;
+        let height;
+        let width;
+
+        if (aspectRatio < 1) {
+          // Portrait
+          height = 2 * columnsPerPlayer;
+          width = columnsPerPlayer;
+        } else if (aspectRatio > 2) {
+          // Wide
+          height = 1 * columnsPerPlayer;
+          width = 2 * columnsPerPlayer;
+        } else {
+          // Landscape
+          height = 1 * columnsPerPlayer;
+          width = columnsPerPlayer;
+        }
+
+        const options = {
+          i: cameraName,
+          x: col * width,
+          y: 0, // don't set y, grid does automatically
+          w: width,
+          h: height,
+        };
+
+        optionsMap.push(options);
+      });
+
+      return optionsMap;
+    },
+    [cameras, isGridLayoutLoaded, includeBirdseye, birdseyeConfig],
+  );
 
   useEffect(() => {
     if (isGridLayoutLoaded) {
       if (gridLayout) {
-        // set current grid layout from loaded
-        setCurrentGridLayout(gridLayout);
+        // set current grid layout from loaded, possibly adding new cameras
+        const updatedLayout = generateLayout(gridLayout);
+        setCurrentGridLayout(updatedLayout);
+        // Only save if cameras were added (layout changed)
+        if (!isEqual(updatedLayout, gridLayout)) {
+          setGridLayout(updatedLayout);
+        }
+        // Set camera tracking state so the camera-change effect has a baseline
+        setCurrentCameras(cameras);
+        setCurrentIncludeBirdseye(includeBirdseye);
       } else {
         // idb is empty, set it with an initial layout
-        setGridLayout(generateLayout());
+        const newLayout = generateLayout(undefined);
+        setCurrentGridLayout(newLayout);
+        setGridLayout(newLayout);
+        setCurrentCameras(cameras);
+        setCurrentIncludeBirdseye(includeBirdseye);
       }
     }
   }, [
-    isEditMode,
     gridLayout,
-    currentGridLayout,
     setGridLayout,
     isGridLayoutLoaded,
     generateLayout,
+    cameras,
+    includeBirdseye,
   ]);
 
   useEffect(() => {
+    // Only regenerate layout when cameras change WITHIN an already-loaded group
+    // Skip if currentCameras is undefined (means we just switched groups and
+    // the first useEffect hasn't run yet to set things up)
+    if (!isGridLayoutLoaded || currentCameras === undefined) {
+      return;
+    }
+
     if (
       !isEqual(cameras, currentCameras) ||
       includeBirdseye !== currentIncludeBirdseye
@@ -261,15 +294,17 @@ export default function DraggableGridLayout({
       setCurrentCameras(cameras);
       setCurrentIncludeBirdseye(includeBirdseye);
 
-      // set new grid layout in idb
-      setGridLayout(generateLayout());
+      // Regenerate layout based on current layout, adding any new cameras
+      const updatedLayout = generateLayout(currentGridLayout);
+      setCurrentGridLayout(updatedLayout);
+      setGridLayout(updatedLayout);
     }
   }, [
     cameras,
     includeBirdseye,
     currentCameras,
     currentIncludeBirdseye,
-    setCurrentGridLayout,
+    currentGridLayout,
     generateLayout,
     setGridLayout,
     isGridLayoutLoaded,
@@ -604,12 +639,14 @@ export default function DraggableGridLayout({
                     resetPreferredLiveMode(camera.name)
                   }
                   config={config}
+                  streamMetadata={streamMetadata}
                 >
                   <LivePlayer
                     key={camera.name}
                     streamName={streamName}
                     autoLive={autoLive ?? globalAutoLive}
                     showStillWithoutActivity={showStillWithoutActivity ?? true}
+                    alwaysShowCameraName={displayCameraNames}
                     useWebGL={useWebGL}
                     cameraRef={cameraRef}
                     className={cn(
@@ -817,6 +854,7 @@ type GridLiveContextMenuProps = {
   unmuteAll: () => void;
   resetPreferredLiveMode: () => void;
   config?: FrigateConfig;
+  streamMetadata?: { [key: string]: LiveStreamMetadata };
 };
 
 const GridLiveContextMenu = React.forwardRef<
@@ -847,6 +885,7 @@ const GridLiveContextMenu = React.forwardRef<
       unmuteAll,
       resetPreferredLiveMode,
       config,
+      streamMetadata,
       ...props
     },
     ref,
@@ -878,6 +917,7 @@ const GridLiveContextMenu = React.forwardRef<
           unmuteAll={unmuteAll}
           resetPreferredLiveMode={resetPreferredLiveMode}
           config={config}
+          streamMetadata={streamMetadata}
         >
           {children}
         </LiveContextMenu>
diff --git a/web/src/views/live/LiveBirdseyeView.tsx b/web/src/views/live/LiveBirdseyeView.tsx
index efded68f5..0e05b7ec1 100644
--- a/web/src/views/live/LiveBirdseyeView.tsx
+++ b/web/src/views/live/LiveBirdseyeView.tsx
@@ -28,12 +28,14 @@ type LiveBirdseyeViewProps = {
   supportsFullscreen: boolean;
   fullscreen: boolean;
   toggleFullscreen: () => void;
+  onSelectCamera?: (cameraName: string) => void;
 };
 
 export default function LiveBirdseyeView({
   supportsFullscreen,
   fullscreen,
   toggleFullscreen,
+  onSelectCamera,
 }: LiveBirdseyeViewProps) {
   const { t } = useTranslation(["views/live"]);
   const { data: config } = useSWR<FrigateConfig>("config");
@@ -181,13 +183,13 @@ export default function LiveBirdseyeView({
             canvasY >= parsedCoords.y &&
             canvasY < parsedCoords.y + parsedCoords.height
           ) {
-            navigate(`/#${cameraName}`);
+            onSelectCamera?.(cameraName);
             break;
           }
         }
       }
     },
-    [playerRef, config, birdseyeLayout, navigate],
+    [playerRef, config, birdseyeLayout, onSelectCamera],
   );
 
   if (!config) {
diff --git a/web/src/views/live/LiveCameraView.tsx b/web/src/views/live/LiveCameraView.tsx
index 5fd514bc4..418c74068 100644
--- a/web/src/views/live/LiveCameraView.tsx
+++ b/web/src/views/live/LiveCameraView.tsx
@@ -57,6 +57,7 @@ import {
 } from "react-icons/fa";
 import { GiSpeaker, GiSpeakerOff } from "react-icons/gi";
 import {
+  TbCameraDown,
   TbRecordMail,
   TbRecordMailOff,
   TbViewfinder,
@@ -100,18 +101,27 @@ import {
   SelectTrigger,
   SelectValue,
 } from "@/components/ui/select";
-import { usePersistence } from "@/hooks/use-persistence";
+import { useUserPersistence } from "@/hooks/use-user-persistence";
 import { Label } from "@/components/ui/label";
 import { Switch } from "@/components/ui/switch";
 import axios from "axios";
 import { toast } from "sonner";
 import { Toaster } from "@/components/ui/sonner";
 import { useIsAdmin } from "@/hooks/use-is-admin";
-import { Trans, useTranslation } from "react-i18next";
+import { useTranslation } from "react-i18next";
 import { useDocDomain } from "@/hooks/use-doc-domain";
+import { detectCameraAudioFeatures } from "@/utils/cameraUtil";
 import PtzControlPanel from "@/components/overlay/PtzControlPanel";
 import ObjectSettingsView from "../settings/ObjectSettingsView";
 import { useSearchEffect } from "@/hooks/use-overlay-state";
+import {
+  downloadSnapshot,
+  fetchCameraSnapshot,
+  generateSnapshotFilename,
+  grabVideoSnapshot,
+  SnapshotResult,
+} from "@/utils/snapshotUtil";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
 
 type LiveCameraViewProps = {
   config?: FrigateConfig;
@@ -137,10 +147,11 @@ export default function LiveCameraView({
 
   // supported features
 
-  const [streamName, setStreamName] = usePersistence<string>(
-    `${camera.name}-stream`,
-    Object.values(camera.live.streams)[0],
-  );
+  const [streamName, setStreamName, streamNameLoaded] =
+    useUserPersistence<string>(
+      `${camera.name}-stream`,
+      Object.values(camera.live.streams)[0],
+    );
 
   const isRestreamed = useMemo(
     () =>
@@ -149,41 +160,31 @@ export default function LiveCameraView({
     [config, streamName],
   );
 
+  // validate stored stream name and reset if now invalid
+
+  useEffect(() => {
+    if (!streamNameLoaded) return;
+
+    const available = Object.values(camera.live.streams || {});
+    if (available.length === 0) return;
+
+    if (streamName != null && !available.includes(streamName)) {
+      setStreamName(available[0]);
+    }
+  }, [streamNameLoaded, camera.live.streams, streamName, setStreamName]);
+
   const { data: cameraMetadata } = useSWR<LiveStreamMetadata>(
     isRestreamed ? `go2rtc/streams/${streamName}` : null,
     {
       revalidateOnFocus: false,
+      revalidateOnReconnect: false,
+      revalidateIfStale: false,
+      dedupingInterval: 60000,
     },
   );
 
-  const supports2WayTalk = useMemo(() => {
-    if (!window.isSecureContext || !cameraMetadata) {
-      return false;
-    }
-
-    return (
-      cameraMetadata.producers.find(
-        (prod) =>
-          prod.medias &&
-          prod.medias.find((media) => media.includes("audio, sendonly")) !=
-            undefined,
-      ) != undefined
-    );
-  }, [cameraMetadata]);
-  const supportsAudioOutput = useMemo(() => {
-    if (!cameraMetadata) {
-      return false;
-    }
-
-    return (
-      cameraMetadata.producers.find(
-        (prod) =>
-          prod.medias &&
-          prod.medias.find((media) => media.includes("audio, recvonly")) !=
-            undefined,
-      ) != undefined
-    );
-  }, [cameraMetadata]);
+  const { twoWayAudio: supports2WayTalk, audioOutput: supportsAudioOutput } =
+    useMemo(() => detectCameraAudioFeatures(cameraMetadata), [cameraMetadata]);
 
   // camera enabled state
   const { payload: enabledState } = useEnabledState(camera.name);
@@ -267,7 +268,7 @@ export default function LiveCameraView({
   const [pip, setPip] = useState(false);
   const [lowBandwidth, setLowBandwidth] = useState(false);
 
-  const [playInBackground, setPlayInBackground] = usePersistence<boolean>(
+  const [playInBackground, setPlayInBackground] = useUserPersistence<boolean>(
     `${camera.name}-background-play`,
     false,
   );
@@ -645,6 +646,7 @@ export default function LiveCameraView({
                   className={`${fullscreen ? "*:rounded-none" : ""}`}
                   windowVisible
                   showStillWithoutActivity={false}
+                  alwaysShowCameraName={false}
                   cameraConfig={camera}
                   playAudio={audio}
                   playInBackground={playInBackground ?? false}
@@ -703,42 +705,6 @@ export default function LiveCameraView({
   );
 }
 
-function OnDemandRetentionMessage({ camera }: { camera: CameraConfig }) {
-  const { t } = useTranslation(["views/live", "views/events"]);
-  const rankMap = { all: 0, motion: 1, active_objects: 2 };
-  const getValidMode = (retain?: { mode?: string }): keyof typeof rankMap => {
-    const mode = retain?.mode;
-    return mode && mode in rankMap ? (mode as keyof typeof rankMap) : "all";
-  };
-
-  const recordRetainMode = getValidMode(camera.record.retain);
-  const alertsRetainMode = getValidMode(camera.review.alerts.retain);
-
-  const effectiveRetainMode =
-    rankMap[alertsRetainMode] < rankMap[recordRetainMode]
-      ? recordRetainMode
-      : alertsRetainMode;
-
-  const source = effectiveRetainMode === recordRetainMode ? "camera" : "alerts";
-
-  return effectiveRetainMode !== "all" ? (
-    <div>
-      <Trans
-        ns="views/live"
-        values={{
-          source,
-          effectiveRetainMode,
-          effectiveRetainModeName: t(
-            "effectiveRetainMode.modes." + effectiveRetainMode,
-          ),
-        }}
-      >
-        effectiveRetainMode.notAllTips
-      </Trans>
-    </div>
-  ) : null;
-}
-
 type FrigateCameraFeaturesProps = {
   camera: CameraConfig;
   recordingEnabled: boolean;
@@ -832,11 +798,10 @@ function FrigateCameraFeatures({
         const toastId = toast.success(
           <div className="flex flex-col space-y-3">
             <div className="font-semibold">{t("manualRecording.started")}</div>
-            {!camera.record.enabled || camera.record.alerts.retain.days == 0 ? (
-              <div>{t("manualRecording.recordDisabledTips")}</div>
-            ) : (
-              <OnDemandRetentionMessage camera={camera} />
-            )}
+            {!camera.record.enabled ||
+              (camera.record.alerts.retain.days == 0 && (
+                <div>{t("manualRecording.recordDisabledTips")}</div>
+              ))}
           </div>,
           {
             position: "top-center",
@@ -874,6 +839,29 @@ function FrigateCameraFeatures({
     }
   }, [activeToastId, t]);
 
+  const endEventViaBeacon = useCallback(() => {
+    if (!recordingEventIdRef.current) return;
+
+    const url = `${window.location.origin}/api/events/${recordingEventIdRef.current}/end`;
+    const payload = JSON.stringify({
+      end_time: Math.ceil(Date.now() / 1000),
+    });
+
+    // this needs to be a synchronous XMLHttpRequest to guarantee the PUT
+    // reaches the server before the browser kills the page
+    const xhr = new XMLHttpRequest();
+    try {
+      xhr.open("PUT", url, false);
+      xhr.setRequestHeader("Content-Type", "application/json");
+      xhr.setRequestHeader("X-CSRF-TOKEN", "1");
+      xhr.setRequestHeader("X-CACHE-BYPASS", "1");
+      xhr.withCredentials = true;
+      xhr.send(payload);
+    } catch (e) {
+      // Silently ignore errors during unload
+    }
+  }, []);
+
   const handleEventButtonClick = useCallback(() => {
     if (isRecording) {
       endEvent();
@@ -882,9 +870,48 @@ function FrigateCameraFeatures({
     }
   }, [createEvent, endEvent, isRecording]);
 
+  const [isSnapshotLoading, setIsSnapshotLoading] = useState(false);
+
+  const handleSnapshotClick = useCallback(async () => {
+    setIsSnapshotLoading(true);
+    try {
+      let result: SnapshotResult;
+
+      if (isRestreamed && preferredLiveMode !== "jsmpeg") {
+        // For restreamed streams with video elements (MSE/WebRTC), grab directly from video element
+        result = await grabVideoSnapshot();
+      } else {
+        // For detect stream or JSMpeg players, use the API endpoint
+        result = await fetchCameraSnapshot(camera.name);
+      }
+
+      if (result.success) {
+        const { dataUrl } = result.data;
+        const filename = generateSnapshotFilename(camera.name);
+        downloadSnapshot(dataUrl, filename);
+        toast.success(t("snapshot.downloadStarted"));
+      } else {
+        toast.error(t("snapshot.captureFailed"));
+      }
+    } finally {
+      setIsSnapshotLoading(false);
+    }
+  }, [camera.name, isRestreamed, preferredLiveMode, t]);
+
   useEffect(() => {
+    // Handle page unload/close (browser close, tab close, refresh, navigation to external site)
+    const handleBeforeUnload = () => {
+      if (recordingEventIdRef.current) {
+        endEventViaBeacon();
+      }
+    };
+
+    window.addEventListener("beforeunload", handleBeforeUnload);
+
     // ensure manual event is stopped when component unmounts
     return () => {
+      window.removeEventListener("beforeunload", handleBeforeUnload);
+
       if (recordingEventIdRef.current) {
         endEvent();
       }
@@ -1016,25 +1043,400 @@ function FrigateCameraFeatures({
           onClick={handleEventButtonClick}
           disabled={!cameraEnabled || debug}
         />
-        <DropdownMenu modal={false}>
-          <DropdownMenuTrigger>
-            <div
-              className={cn(
-                "flex flex-col items-center justify-center rounded-lg bg-secondary p-2 text-secondary-foreground md:p-0",
-              )}
-            >
-              <FaCog
-                className={`text-secondary-foreground" size-5 md:m-[6px]`}
-              />
-            </div>
-          </DropdownMenuTrigger>
-          <DropdownMenuContent className="max-w-96">
-            <div className="flex flex-col gap-5 p-4">
+        <CameraFeatureToggle
+          className="p-2 md:p-0"
+          variant={fullscreen ? "overlay" : "primary"}
+          Icon={TbCameraDown}
+          isActive={false}
+          title={t("snapshot.takeSnapshot")}
+          onClick={handleSnapshotClick}
+          disabled={!cameraEnabled || debug || isSnapshotLoading}
+          loading={isSnapshotLoading}
+        />
+        {!fullscreen && (
+          <DropdownMenu modal={false}>
+            <DropdownMenuTrigger>
+              <div
+                className={cn(
+                  "flex flex-col items-center justify-center rounded-lg bg-secondary p-2 text-secondary-foreground md:p-0",
+                )}
+              >
+                <FaCog
+                  className={`text-secondary-foreground" size-5 md:m-[6px]`}
+                />
+              </div>
+            </DropdownMenuTrigger>
+            <DropdownMenuContent className="max-w-96">
+              <div className="flex flex-col gap-5 p-4">
+                {!isRestreamed && (
+                  <div className="flex flex-col gap-2">
+                    <Label>
+                      {t("streaming.label", { ns: "components/dialog" })}
+                    </Label>
+                    <div className="flex flex-row items-center gap-1 text-sm text-muted-foreground">
+                      <LuX className="size-4 text-danger" />
+                      <div>
+                        {t("streaming.restreaming.disabled", {
+                          ns: "components/dialog",
+                        })}
+                      </div>
+                      <Popover>
+                        <PopoverTrigger asChild>
+                          <div className="cursor-pointer p-0">
+                            <LuInfo className="size-4" />
+                            <span className="sr-only">
+                              {t("button.info", { ns: "common" })}
+                            </span>
+                          </div>
+                        </PopoverTrigger>
+                        <PopoverContent className="w-80 text-xs">
+                          {t("streaming.restreaming.desc.title", {
+                            ns: "components/dialog",
+                          })}
+                          <div className="mt-2 flex items-center text-primary">
+                            <Link
+                              to={getLocaleDocUrl("configuration/live")}
+                              target="_blank"
+                              rel="noopener noreferrer"
+                              className="inline"
+                            >
+                              {t("readTheDocumentation", { ns: "common" })}
+                              <LuExternalLink className="ml-2 inline-flex size-3" />
+                            </Link>
+                          </div>
+                        </PopoverContent>
+                      </Popover>
+                    </div>
+                  </div>
+                )}
+                {isRestreamed &&
+                  Object.values(camera.live.streams).length > 0 && (
+                    <div className="flex flex-col gap-1">
+                      <Label htmlFor="streaming-method">
+                        {t("stream.title")}
+                      </Label>
+                      <Select
+                        value={streamName}
+                        disabled={debug}
+                        onValueChange={(value) => {
+                          setStreamName?.(value);
+                        }}
+                      >
+                        <SelectTrigger className="w-full">
+                          <SelectValue>
+                            {Object.keys(camera.live.streams).find(
+                              (key) => camera.live.streams[key] === streamName,
+                            )}
+                          </SelectValue>
+                        </SelectTrigger>
+
+                        <SelectContent>
+                          <SelectGroup>
+                            {Object.entries(camera.live.streams).map(
+                              ([stream, name]) => (
+                                <SelectItem
+                                  key={stream}
+                                  className="cursor-pointer"
+                                  value={name}
+                                >
+                                  {stream}
+                                </SelectItem>
+                              ),
+                            )}
+                          </SelectGroup>
+                        </SelectContent>
+                      </Select>
+
+                      {debug && (
+                        <div className="flex flex-row items-center gap-1 text-sm text-muted-foreground">
+                          <>
+                            <LuX className="size-8 text-danger" />
+                            <div>{t("stream.debug.picker")}</div>
+                          </>
+                        </div>
+                      )}
+
+                      {preferredLiveMode != "jsmpeg" &&
+                        !debug &&
+                        isRestreamed && (
+                          <div className="flex flex-row items-center gap-1 text-sm text-muted-foreground">
+                            {supportsAudioOutput ? (
+                              <>
+                                <LuCheck className="size-4 text-success" />
+                                <div>{t("stream.audio.available")}</div>
+                              </>
+                            ) : (
+                              <>
+                                <LuX className="size-4 text-danger" />
+                                <div>{t("stream.audio.unavailable")}</div>
+                                <Popover>
+                                  <PopoverTrigger asChild>
+                                    <div className="cursor-pointer p-0">
+                                      <LuInfo className="size-4" />
+                                      <span className="sr-only">
+                                        {t("button.info", { ns: "common" })}
+                                      </span>
+                                    </div>
+                                  </PopoverTrigger>
+                                  <PopoverContent className="w-80 text-xs">
+                                    {t("stream.audio.tips.title")}
+                                    <div className="mt-2 flex items-center text-primary">
+                                      <Link
+                                        to={getLocaleDocUrl(
+                                          "configuration/live",
+                                        )}
+                                        target="_blank"
+                                        rel="noopener noreferrer"
+                                        className="inline"
+                                      >
+                                        {t("readTheDocumentation", {
+                                          ns: "common",
+                                        })}
+                                        <LuExternalLink className="ml-2 inline-flex size-3" />
+                                      </Link>
+                                    </div>
+                                  </PopoverContent>
+                                </Popover>
+                              </>
+                            )}
+                          </div>
+                        )}
+                      {preferredLiveMode != "jsmpeg" &&
+                        !debug &&
+                        isRestreamed &&
+                        supportsAudioOutput && (
+                          <div className="flex flex-row items-center gap-1 text-sm text-muted-foreground">
+                            {supports2WayTalk ? (
+                              <>
+                                <LuCheck className="size-4 text-success" />
+                                <div>{t("stream.twoWayTalk.available")}</div>
+                              </>
+                            ) : (
+                              <>
+                                <LuX className="size-4 text-danger" />
+                                <div>{t("stream.twoWayTalk.unavailable")}</div>
+                                <Popover>
+                                  <PopoverTrigger asChild>
+                                    <div className="cursor-pointer p-0">
+                                      <LuInfo className="size-4" />
+                                      <span className="sr-only">
+                                        {t("button.info", { ns: "common" })}
+                                      </span>
+                                    </div>
+                                  </PopoverTrigger>
+                                  <PopoverContent className="w-80 text-xs">
+                                    {t("stream.twoWayTalk.tips")}
+                                    <div className="mt-2 flex items-center text-primary">
+                                      <Link
+                                        to={getLocaleDocUrl(
+                                          "configuration/live/#webrtc-extra-configuration",
+                                        )}
+                                        target="_blank"
+                                        rel="noopener noreferrer"
+                                        className="inline"
+                                      >
+                                        {t("readTheDocumentation", {
+                                          ns: "common",
+                                        })}
+                                        <LuExternalLink className="ml-2 inline-flex size-3" />
+                                      </Link>
+                                    </div>
+                                  </PopoverContent>
+                                </Popover>
+                              </>
+                            )}
+                          </div>
+                        )}
+
+                      {preferredLiveMode == "jsmpeg" &&
+                        !debug &&
+                        isRestreamed && (
+                          <div className="flex flex-col items-center gap-3">
+                            <div className="flex flex-row items-center gap-2">
+                              <IoIosWarning className="mr-1 size-8 text-danger" />
+
+                              <p className="text-sm">
+                                {t("stream.lowBandwidth.tips")}
+                              </p>
+                            </div>
+                            <Button
+                              className={`flex items-center gap-2.5 rounded-lg`}
+                              aria-label={t("stream.lowBandwidth.resetStream")}
+                              variant="outline"
+                              size="sm"
+                              onClick={() => setLowBandwidth(false)}
+                            >
+                              <MdOutlineRestartAlt className="size-5 text-primary-variant" />
+                              <div className="text-primary-variant">
+                                {t("stream.lowBandwidth.resetStream")}
+                              </div>
+                            </Button>
+                          </div>
+                        )}
+                    </div>
+                  )}
+                {isRestreamed && (
+                  <div className="flex flex-col gap-1">
+                    <div className="flex items-center justify-between">
+                      <Label
+                        className="mx-0 cursor-pointer text-primary"
+                        htmlFor="backgroundplay"
+                      >
+                        {t("stream.playInBackground.label")}
+                      </Label>
+                      <Switch
+                        className="ml-1"
+                        id="backgroundplay"
+                        disabled={debug}
+                        checked={playInBackground}
+                        onCheckedChange={(checked) =>
+                          setPlayInBackground(checked)
+                        }
+                      />
+                    </div>
+                    <p className="text-sm text-muted-foreground">
+                      {t("stream.playInBackground.tips")}
+                    </p>
+                  </div>
+                )}
+                <div className="flex flex-col gap-1">
+                  <div className="flex items-center justify-between">
+                    <Label
+                      className="mx-0 cursor-pointer text-primary"
+                      htmlFor="showstats"
+                    >
+                      {t("streaming.showStats.label", {
+                        ns: "components/dialog",
+                      })}
+                    </Label>
+                    <Switch
+                      className="ml-1"
+                      id="showstats"
+                      disabled={debug}
+                      checked={showStats}
+                      onCheckedChange={(checked) => setShowStats(checked)}
+                    />
+                  </div>
+                  <p className="text-sm text-muted-foreground">
+                    {t("streaming.showStats.desc", {
+                      ns: "components/dialog",
+                    })}
+                  </p>
+                </div>
+                <div className="flex flex-col gap-1">
+                  <div className="flex items-center justify-between">
+                    <Label
+                      className="mx-0 cursor-pointer text-primary"
+                      htmlFor="debug"
+                    >
+                      {t("streaming.debugView", {
+                        ns: "components/dialog",
+                      })}
+                    </Label>
+                    <Switch
+                      className="ml-1"
+                      id="debug"
+                      checked={debug}
+                      onCheckedChange={(checked) => setDebug(checked)}
+                    />
+                  </div>
+                </div>
+              </div>
+            </DropdownMenuContent>
+          </DropdownMenu>
+        )}
+      </>
+    );
+  }
+
+  // mobile doesn't show settings in fullscreen view
+  if (fullscreen) {
+    return;
+  }
+
+  return (
+    <Drawer>
+      <DrawerTrigger>
+        <CameraFeatureToggle
+          className="p-2 landscape:size-9"
+          variant="primary"
+          Icon={FaCog}
+          isActive={false}
+          title={t("cameraSettings.title", { camera })}
+        />
+      </DrawerTrigger>
+      <DrawerContent className="max-h-[75dvh] overflow-hidden rounded-2xl">
+        <div className="scrollbar-container mt-2 flex h-auto flex-col gap-2 overflow-y-auto px-2 py-4">
+          <>
+            {isAdmin && (
+              <>
+                <FilterSwitch
+                  label={t("cameraSettings.cameraEnabled")}
+                  isChecked={enabledState == "ON"}
+                  onCheckedChange={() =>
+                    sendEnabled(enabledState == "ON" ? "OFF" : "ON")
+                  }
+                />
+                <FilterSwitch
+                  label={t("cameraSettings.objectDetection")}
+                  isChecked={detectState == "ON"}
+                  onCheckedChange={() =>
+                    sendDetect(detectState == "ON" ? "OFF" : "ON")
+                  }
+                />
+                {recordingEnabled && (
+                  <FilterSwitch
+                    label={t("cameraSettings.recording")}
+                    isChecked={recordState == "ON"}
+                    onCheckedChange={() =>
+                      sendRecord(recordState == "ON" ? "OFF" : "ON")
+                    }
+                  />
+                )}
+                <FilterSwitch
+                  label={t("cameraSettings.snapshots")}
+                  isChecked={snapshotState == "ON"}
+                  onCheckedChange={() =>
+                    sendSnapshot(snapshotState == "ON" ? "OFF" : "ON")
+                  }
+                />
+                {audioDetectEnabled && (
+                  <FilterSwitch
+                    label={t("cameraSettings.audioDetection")}
+                    isChecked={audioState == "ON"}
+                    onCheckedChange={() =>
+                      sendAudio(audioState == "ON" ? "OFF" : "ON")
+                    }
+                  />
+                )}
+                {audioDetectEnabled && transcriptionEnabled && (
+                  <FilterSwitch
+                    label={t("cameraSettings.transcription")}
+                    disabled={audioState == "OFF"}
+                    isChecked={transcriptionState == "ON"}
+                    onCheckedChange={() =>
+                      sendTranscription(
+                        transcriptionState == "ON" ? "OFF" : "ON",
+                      )
+                    }
+                  />
+                )}
+                {autotrackingEnabled && (
+                  <FilterSwitch
+                    label={t("cameraSettings.autotracking")}
+                    isChecked={autotrackingState == "ON"}
+                    onCheckedChange={() =>
+                      sendAutotracking(autotrackingState == "ON" ? "OFF" : "ON")
+                    }
+                  />
+                )}
+              </>
+            )}
+
+            <div className="mt-3 flex flex-col gap-5">
               {!isRestreamed && (
-                <div className="flex flex-col gap-2">
-                  <Label>
-                    {t("streaming.label", { ns: "components/dialog" })}
-                  </Label>
+                <div className="flex flex-col gap-2 p-2">
+                  <Label>{t("stream.title")}</Label>
                   <div className="flex flex-row items-center gap-1 text-sm text-muted-foreground">
                     <LuX className="size-4 text-danger" />
                     <div>
@@ -1042,7 +1444,7 @@ function FrigateCameraFeatures({
                         ns: "components/dialog",
                       })}
                     </div>
-                    <Popover>
+                    <Popover modal={true}>
                       <PopoverTrigger asChild>
                         <div className="cursor-pointer p-0">
                           <LuInfo className="size-4" />
@@ -1073,16 +1475,14 @@ function FrigateCameraFeatures({
               )}
               {isRestreamed &&
                 Object.values(camera.live.streams).length > 0 && (
-                  <div className="flex flex-col gap-1">
-                    <Label htmlFor="streaming-method">
-                      {t("stream.title")}
-                    </Label>
+                  <div className="mt-1 p-2">
+                    <div className="mb-1 text-sm">{t("stream.title")}</div>
                     <Select
                       value={streamName}
-                      disabled={debug}
                       onValueChange={(value) => {
                         setStreamName?.(value);
                       }}
+                      disabled={debug}
                     >
                       <SelectTrigger className="w-full">
                         <SelectValue>
@@ -1121,7 +1521,7 @@ function FrigateCameraFeatures({
                     {preferredLiveMode != "jsmpeg" &&
                       !debug &&
                       isRestreamed && (
-                        <div className="flex flex-row items-center gap-1 text-sm text-muted-foreground">
+                        <div className="mt-1 flex flex-row items-center gap-1 text-sm text-muted-foreground">
                           {supportsAudioOutput ? (
                             <>
                               <LuCheck className="size-4 text-success" />
@@ -1131,7 +1531,7 @@ function FrigateCameraFeatures({
                             <>
                               <LuX className="size-4 text-danger" />
                               <div>{t("stream.audio.unavailable")}</div>
-                              <Popover>
+                              <Popover modal={true}>
                                 <PopoverTrigger asChild>
                                   <div className="cursor-pointer p-0">
                                     <LuInfo className="size-4" />
@@ -1140,7 +1540,7 @@ function FrigateCameraFeatures({
                                     </span>
                                   </div>
                                 </PopoverTrigger>
-                                <PopoverContent className="w-80 text-xs">
+                                <PopoverContent className="w-52 text-xs">
                                   {t("stream.audio.tips.title")}
                                   <div className="mt-2 flex items-center text-primary">
                                     <Link
@@ -1175,7 +1575,7 @@ function FrigateCameraFeatures({
                             <>
                               <LuX className="size-4 text-danger" />
                               <div>{t("stream.twoWayTalk.unavailable")}</div>
-                              <Popover>
+                              <Popover modal={true}>
                                 <PopoverTrigger asChild>
                                   <div className="cursor-pointer p-0">
                                     <LuInfo className="size-4" />
@@ -1184,7 +1584,7 @@ function FrigateCameraFeatures({
                                     </span>
                                   </div>
                                 </PopoverTrigger>
-                                <PopoverContent className="w-80 text-xs">
+                                <PopoverContent className="w-52 text-xs">
                                   {t("stream.twoWayTalk.tips")}
                                   <div className="mt-2 flex items-center text-primary">
                                     <Link
@@ -1207,434 +1607,101 @@ function FrigateCameraFeatures({
                           )}
                         </div>
                       )}
-
-                    {preferredLiveMode == "jsmpeg" &&
-                      !debug &&
-                      isRestreamed && (
-                        <div className="flex flex-col items-center gap-3">
-                          <div className="flex flex-row items-center gap-2">
-                            <IoIosWarning className="mr-1 size-8 text-danger" />
-
-                            <p className="text-sm">
-                              {t("stream.lowBandwidth.tips")}
-                            </p>
-                          </div>
-                          <Button
-                            className={`flex items-center gap-2.5 rounded-lg`}
-                            aria-label={t("stream.lowBandwidth.resetStream")}
-                            variant="outline"
-                            size="sm"
-                            onClick={() => setLowBandwidth(false)}
-                          >
-                            <MdOutlineRestartAlt className="size-5 text-primary-variant" />
-                            <div className="text-primary-variant">
-                              {t("stream.lowBandwidth.resetStream")}
-                            </div>
-                          </Button>
+                    {preferredLiveMode == "jsmpeg" && isRestreamed && (
+                      <div className="mt-2 flex flex-col items-center gap-3">
+                        <div className="flex flex-row items-center gap-2">
+                          <IoIosWarning className="mr-1 size-8 text-danger" />
+                          <p className="text-sm">
+                            {t("stream.lowBandwidth.tips")}
+                          </p>
                         </div>
-                      )}
-                  </div>
-                )}
-              {isRestreamed && (
-                <div className="flex flex-col gap-1">
-                  <div className="flex items-center justify-between">
-                    <Label
-                      className="mx-0 cursor-pointer text-primary"
-                      htmlFor="backgroundplay"
-                    >
-                      {t("stream.playInBackground.label")}
-                    </Label>
-                    <Switch
-                      className="ml-1"
-                      id="backgroundplay"
-                      disabled={debug}
-                      checked={playInBackground}
-                      onCheckedChange={(checked) =>
-                        setPlayInBackground(checked)
-                      }
-                    />
-                  </div>
-                  <p className="text-sm text-muted-foreground">
-                    {t("stream.playInBackground.tips")}
-                  </p>
-                </div>
-              )}
-              <div className="flex flex-col gap-1">
-                <div className="flex items-center justify-between">
-                  <Label
-                    className="mx-0 cursor-pointer text-primary"
-                    htmlFor="showstats"
-                  >
-                    {t("streaming.showStats.label", {
-                      ns: "components/dialog",
-                    })}
-                  </Label>
-                  <Switch
-                    className="ml-1"
-                    id="showstats"
-                    disabled={debug}
-                    checked={showStats}
-                    onCheckedChange={(checked) => setShowStats(checked)}
-                  />
-                </div>
-                <p className="text-sm text-muted-foreground">
-                  {t("streaming.showStats.desc", {
-                    ns: "components/dialog",
-                  })}
-                </p>
-              </div>
-              <div className="flex flex-col gap-1">
-                <div className="flex items-center justify-between">
-                  <Label
-                    className="mx-0 cursor-pointer text-primary"
-                    htmlFor="debug"
-                  >
-                    {t("streaming.debugView", {
-                      ns: "components/dialog",
-                    })}
-                  </Label>
-                  <Switch
-                    className="ml-1"
-                    id="debug"
-                    checked={debug}
-                    onCheckedChange={(checked) => setDebug(checked)}
-                  />
-                </div>
-              </div>
-            </div>
-          </DropdownMenuContent>
-        </DropdownMenu>
-      </>
-    );
-  }
-
-  // mobile doesn't show settings in fullscreen view
-  if (fullscreen) {
-    return;
-  }
-
-  return (
-    <Drawer>
-      <DrawerTrigger>
-        <CameraFeatureToggle
-          className="p-2 landscape:size-9"
-          variant="primary"
-          Icon={FaCog}
-          isActive={false}
-          title={t("cameraSettings.title", { camera })}
-        />
-      </DrawerTrigger>
-      <DrawerContent className="rounded-2xl px-2 py-4">
-        <div className="mt-2 flex flex-col gap-2">
-          {isAdmin && (
-            <>
-              <FilterSwitch
-                label={t("cameraSettings.cameraEnabled")}
-                isChecked={enabledState == "ON"}
-                onCheckedChange={() =>
-                  sendEnabled(enabledState == "ON" ? "OFF" : "ON")
-                }
-              />
-              <FilterSwitch
-                label={t("cameraSettings.objectDetection")}
-                isChecked={detectState == "ON"}
-                onCheckedChange={() =>
-                  sendDetect(detectState == "ON" ? "OFF" : "ON")
-                }
-              />
-              {recordingEnabled && (
-                <FilterSwitch
-                  label={t("cameraSettings.recording")}
-                  isChecked={recordState == "ON"}
-                  onCheckedChange={() =>
-                    sendRecord(recordState == "ON" ? "OFF" : "ON")
-                  }
-                />
-              )}
-              <FilterSwitch
-                label={t("cameraSettings.snapshots")}
-                isChecked={snapshotState == "ON"}
-                onCheckedChange={() =>
-                  sendSnapshot(snapshotState == "ON" ? "OFF" : "ON")
-                }
-              />
-              {audioDetectEnabled && (
-                <FilterSwitch
-                  label={t("cameraSettings.audioDetection")}
-                  isChecked={audioState == "ON"}
-                  onCheckedChange={() =>
-                    sendAudio(audioState == "ON" ? "OFF" : "ON")
-                  }
-                />
-              )}
-              {audioDetectEnabled && transcriptionEnabled && (
-                <FilterSwitch
-                  label={t("cameraSettings.transcription")}
-                  disabled={audioState == "OFF"}
-                  isChecked={transcriptionState == "ON"}
-                  onCheckedChange={() =>
-                    sendTranscription(transcriptionState == "ON" ? "OFF" : "ON")
-                  }
-                />
-              )}
-              {autotrackingEnabled && (
-                <FilterSwitch
-                  label={t("cameraSettings.autotracking")}
-                  isChecked={autotrackingState == "ON"}
-                  onCheckedChange={() =>
-                    sendAutotracking(autotrackingState == "ON" ? "OFF" : "ON")
-                  }
-                />
-              )}
-            </>
-          )}
-        </div>
-
-        <div className="mt-3 flex flex-col gap-5">
-          {!isRestreamed && (
-            <div className="flex flex-col gap-2 p-2">
-              <Label>{t("stream.title")}</Label>
-              <div className="flex flex-row items-center gap-1 text-sm text-muted-foreground">
-                <LuX className="size-4 text-danger" />
-                <div>
-                  {t("streaming.restreaming.disabled", {
-                    ns: "components/dialog",
-                  })}
-                </div>
-                <Popover>
-                  <PopoverTrigger asChild>
-                    <div className="cursor-pointer p-0">
-                      <LuInfo className="size-4" />
-                      <span className="sr-only">
-                        {t("button.info", { ns: "common" })}
-                      </span>
-                    </div>
-                  </PopoverTrigger>
-                  <PopoverContent className="w-80 text-xs">
-                    {t("streaming.restreaming.desc.title", {
-                      ns: "components/dialog",
-                    })}
-                    <div className="mt-2 flex items-center text-primary">
-                      <Link
-                        to={getLocaleDocUrl("configuration/live")}
-                        target="_blank"
-                        rel="noopener noreferrer"
-                        className="inline"
-                      >
-                        {t("readTheDocumentation", { ns: "common" })}
-                        <LuExternalLink className="ml-2 inline-flex size-3" />
-                      </Link>
-                    </div>
-                  </PopoverContent>
-                </Popover>
-              </div>
-            </div>
-          )}
-          {isRestreamed && Object.values(camera.live.streams).length > 0 && (
-            <div className="mt-1 p-2">
-              <div className="mb-1 text-sm">{t("stream.title")}</div>
-              <Select
-                value={streamName}
-                onValueChange={(value) => {
-                  setStreamName?.(value);
-                }}
-                disabled={debug}
-              >
-                <SelectTrigger className="w-full">
-                  <SelectValue>
-                    {Object.keys(camera.live.streams).find(
-                      (key) => camera.live.streams[key] === streamName,
-                    )}
-                  </SelectValue>
-                </SelectTrigger>
-
-                <SelectContent>
-                  <SelectGroup>
-                    {Object.entries(camera.live.streams).map(
-                      ([stream, name]) => (
-                        <SelectItem
-                          key={stream}
-                          className="cursor-pointer"
-                          value={name}
+                        <Button
+                          className={`flex items-center gap-2.5 rounded-lg`}
+                          aria-label={t("stream.lowBandwidth.resetStream")}
+                          variant="outline"
+                          size="sm"
+                          disabled={debug}
+                          onClick={() => setLowBandwidth(false)}
                         >
-                          {stream}
-                        </SelectItem>
-                      ),
-                    )}
-                  </SelectGroup>
-                </SelectContent>
-              </Select>
-
-              {debug && (
-                <div className="flex flex-row items-center gap-1 text-sm text-muted-foreground">
-                  <>
-                    <LuX className="size-8 text-danger" />
-                    <div>{t("stream.debug.picker")}</div>
-                  </>
-                </div>
-              )}
-
-              {preferredLiveMode != "jsmpeg" && !debug && isRestreamed && (
-                <div className="mt-1 flex flex-row items-center gap-1 text-sm text-muted-foreground">
-                  {supportsAudioOutput ? (
-                    <>
-                      <LuCheck className="size-4 text-success" />
-                      <div>{t("stream.audio.available")}</div>
-                    </>
-                  ) : (
-                    <>
-                      <LuX className="size-4 text-danger" />
-                      <div>{t("stream.audio.unavailable")}</div>
-                      <Popover>
-                        <PopoverTrigger asChild>
-                          <div className="cursor-pointer p-0">
-                            <LuInfo className="size-4" />
-                            <span className="sr-only">
-                              {t("button.info", { ns: "common" })}
-                            </span>
+                          <MdOutlineRestartAlt className="size-5 text-primary-variant" />
+                          <div className="text-primary-variant">
+                            {t("stream.lowBandwidth.resetStream")}
                           </div>
-                        </PopoverTrigger>
-                        <PopoverContent className="w-52 text-xs">
-                          {t("stream.audio.tips.title")}
-                          <div className="mt-2 flex items-center text-primary">
-                            <Link
-                              to={getLocaleDocUrl("configuration/live")}
-                              target="_blank"
-                              rel="noopener noreferrer"
-                              className="inline"
-                            >
-                              {t("readTheDocumentation", { ns: "common" })}
-                              <LuExternalLink className="ml-2 inline-flex size-3" />
-                            </Link>
-                          </div>
-                        </PopoverContent>
-                      </Popover>
-                    </>
-                  )}
-                </div>
-              )}
-              {preferredLiveMode != "jsmpeg" &&
-                !debug &&
-                isRestreamed &&
-                supportsAudioOutput && (
-                  <div className="flex flex-row items-center gap-1 text-sm text-muted-foreground">
-                    {supports2WayTalk ? (
-                      <>
-                        <LuCheck className="size-4 text-success" />
-                        <div>{t("stream.twoWayTalk.available")}</div>
-                      </>
-                    ) : (
-                      <>
-                        <LuX className="size-4 text-danger" />
-                        <div>{t("stream.twoWayTalk.unavailable")}</div>
-                        <Popover>
-                          <PopoverTrigger asChild>
-                            <div className="cursor-pointer p-0">
-                              <LuInfo className="size-4" />
-                              <span className="sr-only">
-                                {t("button.info", { ns: "common" })}
-                              </span>
-                            </div>
-                          </PopoverTrigger>
-                          <PopoverContent className="w-52 text-xs">
-                            {t("stream.twoWayTalk.tips")}
-                            <div className="mt-2 flex items-center text-primary">
-                              <Link
-                                to={getLocaleDocUrl(
-                                  "configuration/live/#webrtc-extra-configuration",
-                                )}
-                                target="_blank"
-                                rel="noopener noreferrer"
-                                className="inline"
-                              >
-                                {t("readTheDocumentation", { ns: "common" })}
-                                <LuExternalLink className="ml-2 inline-flex size-3" />
-                              </Link>
-                            </div>
-                          </PopoverContent>
-                        </Popover>
-                      </>
+                        </Button>
+                      </div>
                     )}
                   </div>
                 )}
-              {preferredLiveMode == "jsmpeg" && isRestreamed && (
-                <div className="mt-2 flex flex-col items-center gap-3">
-                  <div className="flex flex-row items-center gap-2">
-                    <IoIosWarning className="mr-1 size-8 text-danger" />
-                    <p className="text-sm">{t("stream.lowBandwidth.tips")}</p>
-                  </div>
+              <div className="flex flex-col gap-1 px-2">
+                <div className="mb-1 text-sm font-medium leading-none">
+                  {t("manualRecording.title")}
+                </div>
+                <div className="flex flex-row items-stretch gap-2">
                   <Button
-                    className={`flex items-center gap-2.5 rounded-lg`}
-                    aria-label={t("stream.lowBandwidth.resetStream")}
-                    variant="outline"
-                    size="sm"
-                    disabled={debug}
-                    onClick={() => setLowBandwidth(false)}
+                    onClick={handleSnapshotClick}
+                    disabled={!cameraEnabled || debug || isSnapshotLoading}
+                    className="h-auto w-full whitespace-normal"
                   >
-                    <MdOutlineRestartAlt className="size-5 text-primary-variant" />
-                    <div className="text-primary-variant">
-                      {t("stream.lowBandwidth.resetStream")}
-                    </div>
+                    {isSnapshotLoading && (
+                      <ActivityIndicator className="mr-2 size-4" />
+                    )}
+                    {t("snapshot.takeSnapshot")}
+                  </Button>
+                  <Button
+                    onClick={handleEventButtonClick}
+                    className={cn(
+                      "h-auto w-full whitespace-normal",
+                      isRecording &&
+                        "animate-pulse bg-red-500 hover:bg-red-600",
+                    )}
+                    disabled={debug}
+                  >
+                    {t("manualRecording." + (isRecording ? "end" : "start"))}
                   </Button>
                 </div>
-              )}
-            </div>
-          )}
-          <div className="flex flex-col gap-1 px-2">
-            <div className="mb-1 text-sm font-medium leading-none">
-              {t("manualRecording.title")}
-            </div>
-            <Button
-              onClick={handleEventButtonClick}
-              className={cn(
-                "w-full",
-                isRecording && "animate-pulse bg-red-500 hover:bg-red-600",
-              )}
-              disabled={debug}
-            >
-              {t("manualRecording." + (isRecording ? "end" : "start"))}
-            </Button>
-            <p className="text-sm text-muted-foreground">
-              {t("manualRecording.tips")}
-            </p>
-          </div>
-          {isRestreamed && (
-            <>
-              <div className="flex flex-col gap-2">
-                <FilterSwitch
-                  label={t("manualRecording.playInBackground.label")}
-                  isChecked={playInBackground}
-                  onCheckedChange={(checked) => {
-                    setPlayInBackground(checked);
-                  }}
-                  disabled={debug}
-                />
-                <p className="mx-2 -mt-2 text-sm text-muted-foreground">
-                  {t("manualRecording.playInBackground.desc")}
+                <p className="text-sm text-muted-foreground">
+                  {t("manualRecording.tips")}
                 </p>
               </div>
-              <div className="flex flex-col gap-2">
+              {isRestreamed && (
+                <>
+                  <div className="flex flex-col gap-2">
+                    <FilterSwitch
+                      label={t("manualRecording.playInBackground.label")}
+                      isChecked={playInBackground}
+                      onCheckedChange={(checked) => {
+                        setPlayInBackground(checked);
+                      }}
+                      disabled={debug}
+                    />
+                    <p className="mx-2 -mt-2 text-sm text-muted-foreground">
+                      {t("manualRecording.playInBackground.desc")}
+                    </p>
+                  </div>
+                  <div className="flex flex-col gap-2">
+                    <FilterSwitch
+                      label={t("manualRecording.showStats.label")}
+                      isChecked={showStats}
+                      onCheckedChange={(checked) => {
+                        setShowStats(checked);
+                      }}
+                      disabled={debug}
+                    />
+                    <p className="mx-2 -mt-2 text-sm text-muted-foreground">
+                      {t("manualRecording.showStats.desc")}
+                    </p>
+                  </div>
+                </>
+              )}
+              <div className="mb-3 flex flex-col">
                 <FilterSwitch
-                  label={t("manualRecording.showStats.label")}
-                  isChecked={showStats}
-                  onCheckedChange={(checked) => {
-                    setShowStats(checked);
-                  }}
-                  disabled={debug}
+                  label={t("streaming.debugView", { ns: "components/dialog" })}
+                  isChecked={debug}
+                  onCheckedChange={(checked) => setDebug(checked)}
                 />
-                <p className="mx-2 -mt-2 text-sm text-muted-foreground">
-                  {t("manualRecording.showStats.desc")}
-                </p>
               </div>
-            </>
-          )}
-          <div className="mb-3 flex flex-col">
-            <FilterSwitch
-              label={t("streaming.debugView", { ns: "components/dialog" })}
-              isChecked={debug}
-              onCheckedChange={(checked) => setDebug(checked)}
-            />
-          </div>
+            </div>
+          </>
         </div>
       </DrawerContent>
     </Drawer>
diff --git a/web/src/views/live/LiveDashboardView.tsx b/web/src/views/live/LiveDashboardView.tsx
index 1df5daa67..dd8bb83f5 100644
--- a/web/src/views/live/LiveDashboardView.tsx
+++ b/web/src/views/live/LiveDashboardView.tsx
@@ -13,14 +13,21 @@ import {
   TooltipProvider,
   TooltipTrigger,
 } from "@/components/ui/tooltip";
-import { usePersistence } from "@/hooks/use-persistence";
+import { useUserPersistence } from "@/hooks/use-user-persistence";
 import {
   AllGroupsStreamingSettings,
   CameraConfig,
   FrigateConfig,
 } from "@/types/frigateConfig";
 import { ReviewSegment } from "@/types/review";
-import { useCallback, useEffect, useMemo, useRef, useState } from "react";
+import {
+  useCallback,
+  useContext,
+  useEffect,
+  useMemo,
+  useRef,
+  useState,
+} from "react";
 import {
   isDesktop,
   isMobile,
@@ -46,6 +53,8 @@ import { useStreamingSettings } from "@/context/streaming-settings-provider";
 import { useTranslation } from "react-i18next";
 import { EmptyCard } from "@/components/card/EmptyCard";
 import { BsFillCameraVideoOffFill } from "react-icons/bs";
+import { AuthContext } from "@/context/auth-context";
+import { useIsAdmin } from "@/hooks/use-is-admin";
 
 type LiveDashboardViewProps = {
   cameras: CameraConfig[];
@@ -69,7 +78,7 @@ export default function LiveDashboardView({
 
   // layout
 
-  const [mobileLayout, setMobileLayout] = usePersistence<"grid" | "list">(
+  const [mobileLayout, setMobileLayout] = useUserPersistence<"grid" | "list">(
     "live-layout",
     isDesktop ? "grid" : "list",
   );
@@ -105,6 +114,7 @@ export default function LiveDashboardView({
     {
       limit: 10,
       severity: "alert",
+      reviewed: 0,
       cameras: alertCameras,
     },
   ]);
@@ -202,15 +212,8 @@ export default function LiveDashboardView({
     };
   }, []);
 
-  const {
-    preferredLiveModes,
-    setPreferredLiveModes,
-    resetPreferredLiveMode,
-    isRestreamedStates,
-    supportsAudioOutputStates,
-  } = useCameraLiveMode(cameras, windowVisible);
-
-  const [globalAutoLive] = usePersistence("autoLiveView", true);
+  const [globalAutoLive] = useUserPersistence("autoLiveView", true);
+  const [displayCameraNames] = useUserPersistence("displayCameraNames", false);
 
   const { allGroupsStreamingSettings, setAllGroupsStreamingSettings } =
     useStreamingSettings();
@@ -238,6 +241,34 @@ export default function LiveDashboardView({
     [visibleCameraObserver.current],
   );
 
+  const activeStreams = useMemo(() => {
+    const streams: { [cameraName: string]: string } = {};
+    cameras.forEach((camera) => {
+      const availableStreams = camera.live.streams || {};
+      const streamNameFromSettings =
+        currentGroupStreamingSettings?.[camera.name]?.streamName || "";
+      const streamExists =
+        streamNameFromSettings &&
+        Object.values(availableStreams).includes(streamNameFromSettings);
+
+      const streamName = streamExists
+        ? streamNameFromSettings
+        : Object.values(availableStreams)[0] || "";
+
+      streams[camera.name] = streamName;
+    });
+    return streams;
+  }, [cameras, currentGroupStreamingSettings]);
+
+  const {
+    preferredLiveModes,
+    setPreferredLiveModes,
+    resetPreferredLiveMode,
+    isRestreamedStates,
+    supportsAudioOutputStates,
+    streamMetadata,
+  } = useCameraLiveMode(cameras, windowVisible, activeStreams);
+
   const birdseyeConfig = useMemo(() => config?.birdseye, [config]);
 
   const handleError = useCallback(
@@ -354,10 +385,6 @@ export default function LiveDashboardView({
     onSaveMuting(true);
   };
 
-  if (cameras.length == 0) {
-    return <NoCameraView />;
-  }
-
   return (
     <div
       className="scrollbar-container size-full select-none overflow-y-auto px-1 pt-2 md:p-2"
@@ -419,212 +446,259 @@ export default function LiveDashboardView({
         </div>
       )}
 
-      {!fullscreen && events && events.length > 0 && (
-        <ScrollArea>
-          <TooltipProvider>
-            <div className="flex items-center gap-2 px-1">
-              {events.map((event) => {
-                return (
-                  <AnimatedEventCard
-                    key={event.id}
-                    event={event}
-                    selectedGroup={cameraGroup}
-                    updateEvents={updateEvents}
-                  />
-                );
-              })}
-            </div>
-          </TooltipProvider>
-          <ScrollBar orientation="horizontal" />
-        </ScrollArea>
-      )}
-
-      {!cameraGroup || cameraGroup == "default" || isMobileOnly ? (
+      {cameras.length == 0 && !includeBirdseye ? (
+        <NoCameraView cameraGroup={cameraGroup} />
+      ) : (
         <>
-          <div
-            className={cn(
-              "mt-2 grid grid-cols-1 gap-2 px-2 md:gap-4",
-              mobileLayout == "grid" &&
-                "grid-cols-2 xl:grid-cols-3 3xl:grid-cols-4",
-              isMobile && "px-0",
-            )}
-          >
-            {includeBirdseye && birdseyeConfig?.enabled && (
+          {!fullscreen && events && events.length > 0 && (
+            <ScrollArea>
+              <TooltipProvider>
+                <div className="flex items-center gap-2 px-1">
+                  {events.map((event) => {
+                    return (
+                      <AnimatedEventCard
+                        key={event.id}
+                        event={event}
+                        selectedGroup={cameraGroup}
+                        updateEvents={updateEvents}
+                      />
+                    );
+                  })}
+                </div>
+              </TooltipProvider>
+              <ScrollBar orientation="horizontal" />
+            </ScrollArea>
+          )}
+
+          {!cameraGroup || cameraGroup == "default" || isMobileOnly ? (
+            <>
               <div
-                className={(() => {
-                  const aspectRatio =
-                    birdseyeConfig.width / birdseyeConfig.height;
-                  if (aspectRatio > 2) {
-                    return `${mobileLayout == "grid" && "col-span-2"} aspect-wide`;
-                  } else if (aspectRatio < 1) {
-                    return `${mobileLayout == "grid" && "row-span-2 h-full"} aspect-tall`;
-                  } else {
-                    return "aspect-video";
-                  }
-                })()}
-                ref={birdseyeContainerRef}
+                className={cn(
+                  "mt-2 grid grid-cols-1 gap-2 px-2 md:gap-4",
+                  mobileLayout == "grid" &&
+                    "grid-cols-2 xl:grid-cols-3 3xl:grid-cols-4",
+                  isMobile && "px-0",
+                )}
               >
-                <BirdseyeLivePlayer
-                  birdseyeConfig={birdseyeConfig}
-                  liveMode={birdseyeConfig.restream ? "mse" : "jsmpeg"}
-                  onClick={() => onSelectCamera("birdseye")}
-                  containerRef={birdseyeContainerRef}
-                />
-              </div>
-            )}
-            {cameras.map((camera) => {
-              let grow;
-              const aspectRatio = camera.detect.width / camera.detect.height;
-              if (aspectRatio > 2) {
-                grow = `${mobileLayout == "grid" && "col-span-2"} aspect-wide`;
-              } else if (aspectRatio < 1) {
-                grow = `${mobileLayout == "grid" && "row-span-2 h-full"} aspect-tall`;
-              } else {
-                grow = "aspect-video";
-              }
-              const availableStreams = camera.live.streams || {};
-              const firstStreamEntry = Object.values(availableStreams)[0] || "";
-
-              const streamNameFromSettings =
-                currentGroupStreamingSettings?.[camera.name]?.streamName || "";
-              const streamExists =
-                streamNameFromSettings &&
-                Object.values(availableStreams).includes(
-                  streamNameFromSettings,
-                );
-
-              const streamName = streamExists
-                ? streamNameFromSettings
-                : firstStreamEntry;
-              const streamType =
-                currentGroupStreamingSettings?.[camera.name]?.streamType;
-              const autoLive =
-                streamType !== undefined
-                  ? streamType !== "no-streaming"
-                  : undefined;
-              const showStillWithoutActivity =
-                currentGroupStreamingSettings?.[camera.name]?.streamType !==
-                "continuous";
-              const useWebGL =
-                currentGroupStreamingSettings?.[camera.name]
-                  ?.compatibilityMode || false;
-              return (
-                <LiveContextMenu
-                  className={grow}
-                  key={camera.name}
-                  camera={camera.name}
-                  cameraGroup={cameraGroup}
-                  streamName={streamName}
-                  preferredLiveMode={preferredLiveModes[camera.name] ?? "mse"}
-                  isRestreamed={isRestreamedStates[camera.name]}
-                  supportsAudio={
-                    supportsAudioOutputStates[streamName]?.supportsAudio ??
-                    false
-                  }
-                  audioState={audioStates[camera.name]}
-                  toggleAudio={() => toggleAudio(camera.name)}
-                  statsState={statsStates[camera.name]}
-                  toggleStats={() => toggleStats(camera.name)}
-                  volumeState={volumeStates[camera.name] ?? 1}
-                  setVolumeState={(value) =>
-                    setVolumeStates({
-                      [camera.name]: value,
-                    })
-                  }
-                  muteAll={muteAll}
-                  unmuteAll={unmuteAll}
-                  resetPreferredLiveMode={() =>
-                    resetPreferredLiveMode(camera.name)
-                  }
-                  config={config}
-                >
-                  <LivePlayer
-                    cameraRef={cameraRef}
-                    key={camera.name}
-                    className={`${grow} rounded-lg bg-black md:rounded-2xl`}
-                    windowVisible={
-                      windowVisible && visibleCameras.includes(camera.name)
-                    }
-                    cameraConfig={camera}
-                    preferredLiveMode={preferredLiveModes[camera.name] ?? "mse"}
-                    autoLive={autoLive ?? globalAutoLive}
-                    showStillWithoutActivity={showStillWithoutActivity ?? true}
-                    useWebGL={useWebGL}
-                    playInBackground={false}
-                    showStats={statsStates[camera.name]}
-                    streamName={streamName}
-                    onClick={() => onSelectCamera(camera.name)}
-                    onError={(e) => handleError(camera.name, e)}
-                    onResetLiveMode={() => resetPreferredLiveMode(camera.name)}
-                    playAudio={audioStates[camera.name] ?? false}
-                    volume={volumeStates[camera.name]}
-                  />
-                </LiveContextMenu>
-              );
-            })}
-          </div>
-          {isDesktop && (
-            <div
-              className={cn(
-                "fixed",
-                isDesktop && "bottom-12 lg:bottom-9",
-                isMobile && "bottom-12 lg:bottom-16",
-                hasScrollbar && isDesktop ? "right-6" : "right-3",
-                "z-50 flex flex-row gap-2",
-              )}
-            >
-              <Tooltip>
-                <TooltipTrigger asChild>
+                {includeBirdseye && birdseyeConfig?.enabled && (
                   <div
-                    className="cursor-pointer rounded-lg bg-secondary text-secondary-foreground opacity-60 transition-all duration-300 hover:bg-muted hover:opacity-100"
-                    onClick={toggleFullscreen}
+                    className={(() => {
+                      const aspectRatio =
+                        birdseyeConfig.width / birdseyeConfig.height;
+                      if (aspectRatio > 2) {
+                        return `${mobileLayout == "grid" && "col-span-2"} aspect-wide`;
+                      } else if (aspectRatio < 1) {
+                        return `${mobileLayout == "grid" && "row-span-2 h-full"} aspect-tall`;
+                      } else {
+                        return "aspect-video";
+                      }
+                    })()}
+                    ref={birdseyeContainerRef}
                   >
-                    {fullscreen ? (
-                      <FaCompress className="size-5 md:m-[6px]" />
-                    ) : (
-                      <FaExpand className="size-5 md:m-[6px]" />
-                    )}
+                    <BirdseyeLivePlayer
+                      birdseyeConfig={birdseyeConfig}
+                      liveMode={birdseyeConfig.restream ? "mse" : "jsmpeg"}
+                      onClick={() => onSelectCamera("birdseye")}
+                      containerRef={birdseyeContainerRef}
+                    />
                   </div>
-                </TooltipTrigger>
-                <TooltipContent>
-                  {fullscreen
-                    ? t("button.exitFullscreen", { ns: "common" })
-                    : t("button.fullscreen", { ns: "common" })}
-                </TooltipContent>
-              </Tooltip>
-            </div>
+                )}
+                {cameras.map((camera) => {
+                  let grow;
+                  const aspectRatio =
+                    camera.detect.width / camera.detect.height;
+                  if (aspectRatio > 2) {
+                    grow = `${mobileLayout == "grid" && "col-span-2"} aspect-wide`;
+                  } else if (aspectRatio < 1) {
+                    grow = `${mobileLayout == "grid" && "row-span-2 h-full"} aspect-tall`;
+                  } else {
+                    grow = "aspect-video";
+                  }
+                  const availableStreams = camera.live.streams || {};
+                  const firstStreamEntry =
+                    Object.values(availableStreams)[0] || "";
+
+                  const streamNameFromSettings =
+                    currentGroupStreamingSettings?.[camera.name]?.streamName ||
+                    "";
+                  const streamExists =
+                    streamNameFromSettings &&
+                    Object.values(availableStreams).includes(
+                      streamNameFromSettings,
+                    );
+
+                  const streamName = streamExists
+                    ? streamNameFromSettings
+                    : firstStreamEntry;
+                  const streamType =
+                    currentGroupStreamingSettings?.[camera.name]?.streamType;
+                  const autoLive =
+                    streamType !== undefined
+                      ? streamType !== "no-streaming"
+                      : undefined;
+                  const showStillWithoutActivity =
+                    currentGroupStreamingSettings?.[camera.name]?.streamType !==
+                    "continuous";
+                  const useWebGL =
+                    currentGroupStreamingSettings?.[camera.name]
+                      ?.compatibilityMode || false;
+                  return (
+                    <LiveContextMenu
+                      className={grow}
+                      key={camera.name}
+                      camera={camera.name}
+                      cameraGroup={cameraGroup}
+                      streamName={streamName}
+                      preferredLiveMode={
+                        preferredLiveModes[camera.name] ?? "mse"
+                      }
+                      isRestreamed={isRestreamedStates[camera.name]}
+                      supportsAudio={
+                        supportsAudioOutputStates[streamName]?.supportsAudio ??
+                        false
+                      }
+                      audioState={audioStates[camera.name]}
+                      toggleAudio={() => toggleAudio(camera.name)}
+                      statsState={statsStates[camera.name]}
+                      toggleStats={() => toggleStats(camera.name)}
+                      volumeState={volumeStates[camera.name] ?? 1}
+                      setVolumeState={(value) =>
+                        setVolumeStates({
+                          [camera.name]: value,
+                        })
+                      }
+                      muteAll={muteAll}
+                      unmuteAll={unmuteAll}
+                      resetPreferredLiveMode={() =>
+                        resetPreferredLiveMode(camera.name)
+                      }
+                      config={config}
+                    >
+                      <LivePlayer
+                        cameraRef={cameraRef}
+                        key={camera.name}
+                        className={`${grow} rounded-lg bg-black md:rounded-2xl`}
+                        windowVisible={
+                          windowVisible && visibleCameras.includes(camera.name)
+                        }
+                        cameraConfig={camera}
+                        preferredLiveMode={
+                          preferredLiveModes[camera.name] ?? "mse"
+                        }
+                        autoLive={autoLive ?? globalAutoLive}
+                        showStillWithoutActivity={
+                          showStillWithoutActivity ?? true
+                        }
+                        alwaysShowCameraName={displayCameraNames}
+                        useWebGL={useWebGL}
+                        playInBackground={false}
+                        showStats={statsStates[camera.name]}
+                        streamName={streamName}
+                        onClick={() => onSelectCamera(camera.name)}
+                        onError={(e) => handleError(camera.name, e)}
+                        onResetLiveMode={() =>
+                          resetPreferredLiveMode(camera.name)
+                        }
+                        playAudio={audioStates[camera.name] ?? false}
+                        volume={volumeStates[camera.name]}
+                      />
+                    </LiveContextMenu>
+                  );
+                })}
+              </div>
+              {isDesktop && (
+                <div
+                  className={cn(
+                    "fixed",
+                    isDesktop && "bottom-12 lg:bottom-9",
+                    isMobile && "bottom-12 lg:bottom-16",
+                    hasScrollbar && isDesktop ? "right-6" : "right-3",
+                    "z-50 flex flex-row gap-2",
+                  )}
+                >
+                  <Tooltip>
+                    <TooltipTrigger asChild>
+                      <div
+                        className="cursor-pointer rounded-lg bg-secondary text-secondary-foreground opacity-60 transition-all duration-300 hover:bg-muted hover:opacity-100"
+                        onClick={toggleFullscreen}
+                      >
+                        {fullscreen ? (
+                          <FaCompress className="size-5 md:m-[6px]" />
+                        ) : (
+                          <FaExpand className="size-5 md:m-[6px]" />
+                        )}
+                      </div>
+                    </TooltipTrigger>
+                    <TooltipContent>
+                      {fullscreen
+                        ? t("button.exitFullscreen", { ns: "common" })
+                        : t("button.fullscreen", { ns: "common" })}
+                    </TooltipContent>
+                  </Tooltip>
+                </div>
+              )}
+            </>
+          ) : (
+            <DraggableGridLayout
+              cameras={cameras}
+              cameraGroup={cameraGroup}
+              containerRef={containerRef}
+              cameraRef={cameraRef}
+              includeBirdseye={includeBirdseye}
+              onSelectCamera={onSelectCamera}
+              windowVisible={windowVisible}
+              visibleCameras={visibleCameras}
+              isEditMode={isEditMode}
+              setIsEditMode={setIsEditMode}
+              fullscreen={fullscreen}
+              toggleFullscreen={toggleFullscreen}
+              preferredLiveModes={preferredLiveModes}
+              setPreferredLiveModes={setPreferredLiveModes}
+              resetPreferredLiveMode={resetPreferredLiveMode}
+              isRestreamedStates={isRestreamedStates}
+              supportsAudioOutputStates={supportsAudioOutputStates}
+              streamMetadata={streamMetadata}
+            />
           )}
         </>
-      ) : (
-        <DraggableGridLayout
-          cameras={cameras}
-          cameraGroup={cameraGroup}
-          containerRef={containerRef}
-          cameraRef={cameraRef}
-          includeBirdseye={includeBirdseye}
-          onSelectCamera={onSelectCamera}
-          windowVisible={windowVisible}
-          visibleCameras={visibleCameras}
-          isEditMode={isEditMode}
-          setIsEditMode={setIsEditMode}
-          fullscreen={fullscreen}
-          toggleFullscreen={toggleFullscreen}
-        />
       )}
     </div>
   );
 }
 
-function NoCameraView() {
+function NoCameraView({ cameraGroup }: { cameraGroup?: string }) {
   const { t } = useTranslation(["views/live"]);
+  const { auth } = useContext(AuthContext);
+  const isAdmin = useIsAdmin();
+
+  const isDefault = cameraGroup === "default";
+  const isRestricted = !isAdmin && auth.isAuthenticated;
+
+  let type: "default" | "group" | "restricted";
+  if (isRestricted) {
+    type = "restricted";
+  } else if (isDefault) {
+    type = "default";
+  } else {
+    type = "group";
+  }
 
   return (
     <div className="flex size-full items-center justify-center">
       <EmptyCard
         icon={<BsFillCameraVideoOffFill className="size-8" />}
-        title={t("noCameras.title")}
-        description={t("noCameras.description")}
-        buttonText={t("noCameras.buttonText")}
+        title={t(`noCameras.${type}.title`)}
+        description={t(`noCameras.${type}.description`)}
+        buttonText={
+          type !== "restricted" && isDefault
+            ? t(`noCameras.${type}.buttonText`)
+            : undefined
+        }
+        link={
+          type !== "restricted" && isDefault
+            ? "/settings?page=cameraManagement"
+            : undefined
+        }
       />
     </div>
   );
diff --git a/web/src/views/recording/RecordingView.tsx b/web/src/views/recording/RecordingView.tsx
index 522dac370..aee3d09da 100644
--- a/web/src/views/recording/RecordingView.tsx
+++ b/web/src/views/recording/RecordingView.tsx
@@ -7,9 +7,11 @@ import PreviewPlayer, {
 import { DynamicVideoController } from "@/components/player/dynamic/DynamicVideoController";
 import DynamicVideoPlayer from "@/components/player/dynamic/DynamicVideoPlayer";
 import MotionReviewTimeline from "@/components/timeline/MotionReviewTimeline";
+import DetailStream from "@/components/timeline/DetailStream";
 import { Button } from "@/components/ui/button";
 import { ToggleGroup, ToggleGroupItem } from "@/components/ui/toggle-group";
 import { useOverlayState } from "@/hooks/use-overlay-state";
+import { useResizeObserver } from "@/hooks/resize-observer";
 import { ExportMode } from "@/types/filter";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { Preview } from "@/types/preview";
@@ -20,6 +22,7 @@ import {
   ReviewFilter,
   ReviewSegment,
   ReviewSummary,
+  ZoomLevel,
 } from "@/types/review";
 import { getChunkedTimeDay } from "@/utils/timelineUtil";
 import {
@@ -30,12 +33,7 @@ import {
   useRef,
   useState,
 } from "react";
-import {
-  isDesktop,
-  isMobile,
-  isMobileOnly,
-  isTablet,
-} from "react-device-detect";
+import { isDesktop, isMobile } from "react-device-detect";
 import { IoMdArrowRoundBack } from "react-icons/io";
 import { useNavigate } from "react-router-dom";
 import { Toaster } from "@/components/ui/sonner";
@@ -52,21 +50,28 @@ import {
   ASPECT_VERTICAL_LAYOUT,
   ASPECT_WIDE_LAYOUT,
   RecordingSegment,
+  RecordingStartingPoint,
 } from "@/types/record";
-import { useResizeObserver } from "@/hooks/resize-observer";
 import { cn } from "@/lib/utils";
 import { useFullscreen } from "@/hooks/use-fullscreen";
 import { useTimezone } from "@/hooks/use-date-utils";
 import { useTimelineZoom } from "@/hooks/use-timeline-zoom";
 import { useTranslation } from "react-i18next";
+import { useTimelineUtils } from "@/hooks/use-timeline-utils";
 import {
   Tooltip,
   TooltipContent,
   TooltipTrigger,
 } from "@/components/ui/tooltip";
-import { CameraNameLabel } from "@/components/camera/CameraNameLabel";
+import { CameraNameLabel } from "@/components/camera/FriendlyNameLabel";
 import { useAllowedCameras } from "@/hooks/use-allowed-cameras";
-import { GenAISummaryDialog } from "@/components/overlay/chip/GenAISummaryChip";
+import { DetailStreamProvider } from "@/context/detail-stream-context";
+import {
+  GenAISummaryDialog,
+  GenAISummaryChip,
+} from "@/components/overlay/chip/GenAISummaryChip";
+
+const DATA_REFRESH_TIME = 600000; // 10 minutes
 
 type RecordingViewProps = {
   startCamera: string;
@@ -78,6 +83,7 @@ type RecordingViewProps = {
   allPreviews?: Preview[];
   filter?: ReviewFilter;
   updateFilter: (newFilter: ReviewFilter) => void;
+  refreshData?: () => void;
 };
 export function RecordingView({
   startCamera,
@@ -89,6 +95,7 @@ export function RecordingView({
   allPreviews,
   filter,
   updateFilter,
+  refreshData,
 }: RecordingViewProps) {
   const { t } = useTranslation(["views/events"]);
   const { data: config } = useSWR<FrigateConfig>("config");
@@ -135,9 +142,15 @@ export function RecordingView({
 
   // timeline
 
+  const [recording] = useOverlayState<RecordingStartingPoint>(
+    "recording",
+    undefined,
+    false,
+  );
+
   const [timelineType, setTimelineType] = useOverlayState<TimelineType>(
     "timelineType",
-    "timeline",
+    recording?.timelineType ?? "timeline",
   );
 
   const chunkedTimeRange = useMemo(
@@ -155,6 +168,7 @@ export function RecordingView({
       chunkedTimeRange[chunkedTimeRange.length - 1],
     [selectedRangeIdx, chunkedTimeRange],
   );
+
   const reviewFilterList = useMemo(() => {
     const uniqueLabels = new Set<string>();
 
@@ -192,6 +206,40 @@ export function RecordingView({
     }
   }, [selectedRangeIdx, chunkedTimeRange]);
 
+  // visibility tracking for refreshing stale data
+
+  const lastVisibilityTime = useRef<number>(Date.now());
+
+  useEffect(() => {
+    const handleVisibilityChange = () => {
+      if (document.visibilityState === "visible") {
+        const now = Date.now();
+        const timeSinceLastVisible = now - lastVisibilityTime.current;
+
+        // Only refresh if user was away for a while
+        // and the video is not currently playing
+        if (
+          timeSinceLastVisible >= DATA_REFRESH_TIME &&
+          refreshData &&
+          mainControllerRef.current &&
+          !mainControllerRef.current.isPlaying()
+        ) {
+          refreshData();
+        }
+
+        lastVisibilityTime.current = now;
+      } else {
+        lastVisibilityTime.current = Date.now();
+      }
+    };
+
+    document.addEventListener("visibilitychange", handleVisibilityChange);
+
+    return () => {
+      document.removeEventListener("visibilitychange", handleVisibilityChange);
+    };
+  }, [refreshData]);
+
   // scrubbing and timeline state
 
   const [scrubbing, setScrubbing] = useState(false);
@@ -242,15 +290,14 @@ export function RecordingView({
   ]);
 
   const manuallySetCurrentTime = useCallback(
-    (time: number) => {
+    (time: number, play: boolean = false) => {
       if (!currentTimeRange) {
         return;
       }
-
       setCurrentTime(time);
 
       if (currentTimeRange.after <= time && currentTimeRange.before >= time) {
-        mainControllerRef.current?.seekToTimestamp(time, true);
+        mainControllerRef.current?.seekToTimestamp(time, play);
       } else {
         updateSelectedSegment(time, true);
       }
@@ -265,11 +312,22 @@ export function RecordingView({
           currentTimeRange.after <= currentTime &&
           currentTimeRange.before >= currentTime
         ) {
-          mainControllerRef.current?.seekToTimestamp(currentTime, true);
+          if (mainControllerRef.current != undefined) {
+            let shouldPlayback = true;
+
+            if (timelineType == "detail") {
+              shouldPlayback = mainControllerRef.current.isPlaying();
+            }
+
+            mainControllerRef.current.seekToTimestamp(
+              currentTime,
+              shouldPlayback,
+            );
+          }
         } else {
           updateSelectedSegment(currentTime, true);
         }
-      } else if (playerTime != currentTime) {
+      } else if (playerTime != currentTime && timelineType != "detail") {
         mainControllerRef.current?.play();
       }
     }
@@ -352,49 +410,47 @@ export function RecordingView({
     }
   }, [mainCameraAspect]);
 
-  const [{ width: mainWidth, height: mainHeight }] =
+  // use a resize observer to determine whether to use w-full or h-full based on container aspect ratio
+  const [{ width: containerWidth, height: containerHeight }] =
     useResizeObserver(cameraLayoutRef);
+  const [{ width: previewRowWidth, height: previewRowHeight }] =
+    useResizeObserver(previewRowRef);
 
-  const mainCameraStyle = useMemo(() => {
-    if (isMobile || mainCameraAspect != "normal" || !config) {
-      return undefined;
+  const useHeightBased = useMemo(() => {
+    if (!containerWidth || !containerHeight) {
+      return false;
     }
 
-    const camera = config.cameras[mainCamera];
-
-    if (!camera) {
-      return undefined;
+    const cameraAspectRatio = getCameraAspect(mainCamera);
+    if (!cameraAspectRatio) {
+      return false;
     }
 
-    const aspect = getCameraAspect(mainCamera);
+    // Calculate available space for camera after accounting for preview row
+    // For tall cameras: preview row is side-by-side (takes width)
+    // For wide/normal cameras: preview row is stacked (takes height)
+    const availableWidth =
+      mainCameraAspect == "tall" && previewRowWidth
+        ? containerWidth - previewRowWidth
+        : containerWidth;
+    const availableHeight =
+      mainCameraAspect != "tall" && previewRowHeight
+        ? containerHeight - previewRowHeight
+        : containerHeight;
 
-    if (!aspect) {
-      return undefined;
-    }
+    const availableAspectRatio = availableWidth / availableHeight;
 
-    const availableHeight = mainHeight - 112;
-
-    let percent;
-    if (mainWidth / availableHeight < aspect) {
-      percent = 100;
-    } else {
-      const availableWidth = aspect * availableHeight;
-      percent =
-        (mainWidth < availableWidth
-          ? mainWidth / availableWidth
-          : availableWidth / mainWidth) * 100;
-    }
-
-    return {
-      width: `${Math.round(percent)}%`,
-    };
+    // If available space is wider than camera aspect, constrain by height (h-full)
+    // If available space is taller than camera aspect, constrain by width (w-full)
+    return availableAspectRatio >= cameraAspectRatio;
   }, [
-    config,
-    mainCameraAspect,
-    mainWidth,
-    mainHeight,
-    mainCamera,
+    containerWidth,
+    containerHeight,
+    previewRowWidth,
+    previewRowHeight,
     getCameraAspect,
+    mainCamera,
+    mainCameraAspect,
   ]);
 
   const previewRowOverflows = useMemo(() => {
@@ -483,309 +539,320 @@ export function RecordingView({
   );
 
   return (
-    <div ref={contentRef} className="flex size-full flex-col pt-2">
-      <Toaster closeButton={true} />
-      <div className="relative mb-2 flex h-11 w-full items-center justify-between px-2">
-        {isMobile && (
-          <Logo className="absolute inset-x-1/2 h-8 -translate-x-1/2" />
-        )}
-        <div className={cn("flex items-center gap-2")}>
-          <Button
-            className="flex items-center gap-2.5 rounded-lg"
-            aria-label={t("label.back", { ns: "common" })}
-            size="sm"
-            onClick={() => navigate(-1)}
-          >
-            <IoMdArrowRoundBack className="size-5 text-secondary-foreground" />
+    <DetailStreamProvider
+      isDetailMode={timelineType === "detail"}
+      currentTime={currentTime}
+      camera={mainCamera}
+    >
+      <div ref={contentRef} className="flex size-full flex-col pt-2">
+        <Toaster closeButton={true} />
+        <div className="relative mb-2 flex h-11 w-full items-center justify-between px-2">
+          {isMobile && (
+            <Logo className="absolute inset-x-1/2 h-8 -translate-x-1/2" />
+          )}
+          <div className={cn("flex items-center gap-2")}>
+            <Button
+              className="flex items-center gap-2.5 rounded-lg"
+              aria-label={t("label.back", { ns: "common" })}
+              size="sm"
+              onClick={() => navigate(-1)}
+            >
+              <IoMdArrowRoundBack className="size-5 text-secondary-foreground" />
+              {isDesktop && (
+                <div className="text-primary">
+                  {t("button.back", { ns: "common" })}
+                </div>
+              )}
+            </Button>
+            <Button
+              className="flex items-center gap-2.5 rounded-lg"
+              aria-label="Go to the main camera live view"
+              size="sm"
+              onClick={() => {
+                navigate(`/#${mainCamera}`);
+              }}
+            >
+              <FaVideo className="size-5 text-secondary-foreground" />
+              {isDesktop && (
+                <div className="text-primary">
+                  {t("menu.live.title", { ns: "common" })}
+                </div>
+              )}
+            </Button>
+          </div>
+          <div className="flex items-center justify-end gap-2">
+            <MobileCameraDrawer
+              allCameras={effectiveCameras}
+              selected={mainCamera}
+              onSelectCamera={onSelectCamera}
+            />
             {isDesktop && (
-              <div className="text-primary">
-                {t("button.back", { ns: "common" })}
-              </div>
+              <ExportDialog
+                camera={mainCamera}
+                currentTime={currentTime}
+                latestTime={timeRange.before}
+                mode={exportMode}
+                range={exportRange}
+                showPreview={showExportPreview}
+                setRange={(range) => {
+                  setExportRange(range);
+
+                  if (range != undefined) {
+                    mainControllerRef.current?.pause();
+                  }
+                }}
+                setMode={setExportMode}
+                setShowPreview={setShowExportPreview}
+              />
             )}
-          </Button>
-          <Button
-            className="flex items-center gap-2.5 rounded-lg"
-            aria-label="Go to the main camera live view"
-            size="sm"
-            onClick={() => {
-              navigate(`/#${mainCamera}`);
-            }}
-          >
-            <FaVideo className="size-5 text-secondary-foreground" />
             {isDesktop && (
-              <div className="text-primary">
-                {t("menu.live.title", { ns: "common" })}
-              </div>
+              <ReviewFilterGroup
+                filters={["cameras", "date", "general"]}
+                reviewSummary={reviewSummary}
+                recordingsSummary={recordingsSummary}
+                filter={filter}
+                motionOnly={false}
+                filterList={reviewFilterList}
+                showReviewed
+                setShowReviewed={() => {}}
+                mainCamera={mainCamera}
+                onUpdateFilter={(newFilter: ReviewFilter) => {
+                  const updatedCameras =
+                    newFilter.cameras === undefined
+                      ? undefined // Respect undefined as "all cameras"
+                      : newFilter.cameras
+                        ? Array.from(
+                            new Set([mainCamera, ...(newFilter.cameras || [])]),
+                          ) // Include mainCamera if specific cameras are selected
+                        : [mainCamera];
+                  const adjustedFilter: ReviewFilter = {
+                    ...newFilter,
+                    cameras: updatedCameras,
+                  };
+                  updateFilter(adjustedFilter);
+                }}
+                setMotionOnly={() => {}}
+              />
             )}
-          </Button>
-        </div>
-        <div className="flex items-center justify-end gap-2">
-          <MobileCameraDrawer
-            allCameras={effectiveCameras}
-            selected={mainCamera}
-            onSelectCamera={onSelectCamera}
-          />
-          {isDesktop && (
-            <ExportDialog
+            {isDesktop ? (
+              <ToggleGroup
+                className="*:rounded-md *:px-3 *:py-4"
+                type="single"
+                size="sm"
+                value={timelineType}
+                onValueChange={(value: TimelineType) =>
+                  value ? setTimelineType(value, true) : null
+                } // don't allow the severity to be unselected
+              >
+                <ToggleGroupItem
+                  className={`${timelineType == "timeline" ? "" : "text-muted-foreground"}`}
+                  value="timeline"
+                  aria-label={t("timeline.aria")}
+                >
+                  <div className="">{t("timeline")}</div>
+                </ToggleGroupItem>
+                <ToggleGroupItem
+                  className={`${timelineType == "events" ? "" : "text-muted-foreground"}`}
+                  value="events"
+                  aria-label={t("events.aria")}
+                >
+                  <div className="">{t("events.label")}</div>
+                </ToggleGroupItem>
+                <ToggleGroupItem
+                  className={`${timelineType == "detail" ? "" : "text-muted-foreground"}`}
+                  value="detail"
+                  aria-label="Detail Stream"
+                >
+                  <div className="">{t("detail.label")}</div>
+                </ToggleGroupItem>
+              </ToggleGroup>
+            ) : (
+              <MobileTimelineDrawer
+                selected={timelineType ?? "timeline"}
+                onSelect={setTimelineType}
+              />
+            )}
+            <MobileReviewSettingsDrawer
               camera={mainCamera}
+              filter={filter}
               currentTime={currentTime}
               latestTime={timeRange.before}
+              recordingsSummary={recordingsSummary}
               mode={exportMode}
               range={exportRange}
-              showPreview={showExportPreview}
-              setRange={(range) => {
-                setExportRange(range);
-
-                if (range != undefined) {
-                  mainControllerRef.current?.pause();
-                }
-              }}
+              showExportPreview={showExportPreview}
+              allLabels={reviewFilterList.labels}
+              allZones={reviewFilterList.zones}
+              onUpdateFilter={updateFilter}
+              setRange={setExportRange}
               setMode={setExportMode}
-              setShowPreview={setShowExportPreview}
+              setShowExportPreview={setShowExportPreview}
             />
-          )}
-          {isDesktop && (
-            <ReviewFilterGroup
-              filters={["cameras", "date", "general"]}
-              reviewSummary={reviewSummary}
-              recordingsSummary={recordingsSummary}
-              filter={filter}
-              motionOnly={false}
-              filterList={reviewFilterList}
-              showReviewed
-              setShowReviewed={() => {}}
-              mainCamera={mainCamera}
-              onUpdateFilter={(newFilter: ReviewFilter) => {
-                const updatedCameras =
-                  newFilter.cameras === undefined
-                    ? undefined // Respect undefined as "all cameras"
-                    : newFilter.cameras
-                      ? Array.from(
-                          new Set([mainCamera, ...(newFilter.cameras || [])]),
-                        ) // Include mainCamera if specific cameras are selected
-                      : [mainCamera];
-                const adjustedFilter: ReviewFilter = {
-                  ...newFilter,
-                  cameras: updatedCameras,
-                };
-                updateFilter(adjustedFilter);
-              }}
-              setMotionOnly={() => {}}
-            />
-          )}
-          {isDesktop ? (
-            <ToggleGroup
-              className="*:rounded-md *:px-3 *:py-4"
-              type="single"
-              size="sm"
-              value={timelineType}
-              onValueChange={(value: TimelineType) =>
-                value ? setTimelineType(value, true) : null
-              } // don't allow the severity to be unselected
-            >
-              <ToggleGroupItem
-                className={`${timelineType == "timeline" ? "" : "text-muted-foreground"}`}
-                value="timeline"
-                aria-label={t("timeline.aria")}
-              >
-                <div className="">{t("timeline")}</div>
-              </ToggleGroupItem>
-              <ToggleGroupItem
-                className={`${timelineType == "events" ? "" : "text-muted-foreground"}`}
-                value="events"
-                aria-label={t("events.aria")}
-              >
-                <div className="">{t("events.label")}</div>
-              </ToggleGroupItem>
-            </ToggleGroup>
-          ) : (
-            <MobileTimelineDrawer
-              selected={timelineType ?? "timeline"}
-              onSelect={setTimelineType}
-            />
-          )}
-          <MobileReviewSettingsDrawer
-            camera={mainCamera}
-            filter={filter}
-            currentTime={currentTime}
-            latestTime={timeRange.before}
-            recordingsSummary={recordingsSummary}
-            mode={exportMode}
-            range={exportRange}
-            showExportPreview={showExportPreview}
-            allLabels={reviewFilterList.labels}
-            allZones={reviewFilterList.zones}
-            onUpdateFilter={updateFilter}
-            setRange={setExportRange}
-            setMode={setExportMode}
-            setShowExportPreview={setShowExportPreview}
-          />
+          </div>
         </div>
-      </div>
 
-      <div
-        ref={mainLayoutRef}
-        className={cn(
-          "flex h-full justify-center overflow-hidden",
-          isDesktop ? "" : "flex-col gap-2 landscape:flex-row",
-        )}
-      >
         <div
-          ref={cameraLayoutRef}
-          className={cn("flex flex-1 flex-wrap", isDesktop ? "w-[80%]" : "")}
+          ref={mainLayoutRef}
+          className={cn(
+            "flex flex-1 overflow-hidden",
+            isDesktop ? "flex-row" : "flex-col gap-2 landscape:flex-row",
+          )}
         >
           <div
+            ref={cameraLayoutRef}
             className={cn(
-              "flex size-full items-center",
-              mainCameraAspect == "tall"
-                ? "flex-row justify-evenly"
-                : "flex-col justify-center gap-2",
+              "flex flex-1 flex-wrap overflow-hidden",
+              isDesktop
+                ? "min-w-0 px-4"
+                : "portrait:max-h-[50dvh] portrait:flex-shrink-0 portrait:flex-grow-0 portrait:basis-auto",
             )}
           >
             <div
-              key={mainCamera}
               className={cn(
-                "relative",
-                isDesktop
-                  ? cn(
-                      "flex justify-center px-4",
-                      mainCameraAspect == "tall"
-                        ? "h-[50%] md:h-[60%] lg:h-[75%] xl:h-[90%]"
-                        : mainCameraAspect == "wide"
-                          ? "w-full"
-                          : "",
-                    )
-                  : cn(
-                      "pt-2 portrait:w-full",
-                      isMobileOnly &&
-                        (mainCameraAspect == "wide"
-                          ? "aspect-wide landscape:w-full"
-                          : "aspect-video landscape:h-[94%] landscape:xl:h-[65%]"),
-                      isTablet &&
-                        (mainCameraAspect == "wide"
-                          ? "aspect-wide landscape:w-full"
-                          : mainCameraAspect == "normal"
-                            ? "landscape:w-full"
-                            : "aspect-video landscape:h-[100%]"),
-                    ),
+                "flex size-full items-center",
+                mainCameraAspect == "tall"
+                  ? "flex-row justify-evenly"
+                  : "flex-col justify-center gap-2",
               )}
-              style={{
-                width: mainCameraStyle ? mainCameraStyle.width : undefined,
-                aspectRatio: isDesktop
-                  ? mainCameraAspect == "tall"
-                    ? getCameraAspect(mainCamera)
-                    : undefined
-                  : Math.max(1, getCameraAspect(mainCamera) ?? 0),
-              }}
             >
-              {isDesktop && (
-                <GenAISummaryDialog
-                  review={activeReviewItem}
-                  onOpen={onAnalysisOpen}
-                />
-              )}
-
-              <DynamicVideoPlayer
-                className={grow}
-                camera={mainCamera}
-                timeRange={currentTimeRange}
-                cameraPreviews={allPreviews ?? []}
-                startTimestamp={playbackStart}
-                hotKeys={exportMode != "select"}
-                fullscreen={fullscreen}
-                onTimestampUpdate={(timestamp) => {
-                  setPlayerTime(timestamp);
-                  setCurrentTime(timestamp);
-                  Object.values(previewRefs.current ?? {}).forEach((prev) =>
-                    prev.scrubToTimestamp(Math.floor(timestamp)),
-                  );
-                }}
-                onClipEnded={onClipEnded}
-                onControllerReady={(controller) => {
-                  mainControllerRef.current = controller;
-                }}
-                isScrubbing={scrubbing || exportMode == "timeline"}
-                supportsFullscreen={supportsFullScreen}
-                setFullResolution={setFullResolution}
-                toggleFullscreen={toggleFullscreen}
-                containerRef={mainLayoutRef}
-              />
-            </div>
-            {isDesktop && effectiveCameras.length > 1 && (
               <div
-                ref={previewRowRef}
+                key={mainCamera}
                 className={cn(
-                  "scrollbar-container flex gap-2 overflow-auto",
-                  mainCameraAspect == "tall"
-                    ? "h-full w-72 flex-col"
-                    : `h-28 w-full`,
-                  previewRowOverflows ? "" : "items-center justify-center",
+                  "relative flex max-h-full min-h-0 min-w-0 max-w-full items-center justify-center",
+                  isDesktop
+                    ? // Desktop: dynamically switch between w-full and h-full based on
+                      // container vs camera aspect ratio to ensure proper fitting
+                      useHeightBased
+                      ? "h-full"
+                      : "w-full"
+                    : cn(
+                        "flex-shrink-0 portrait:w-full landscape:h-full",
+                        mainCameraAspect == "wide"
+                          ? "aspect-wide"
+                          : mainCameraAspect == "tall"
+                            ? "aspect-tall portrait:h-full"
+                            : "aspect-video",
+                      ),
                 )}
+                style={{
+                  aspectRatio: getCameraAspect(mainCamera),
+                }}
               >
-                <div className="w-2" />
-                {effectiveCameras.map((cam) => {
-                  if (cam == mainCamera || cam == "birdseye") {
-                    return;
-                  }
+                {isDesktop && (
+                  <GenAISummaryDialog
+                    review={activeReviewItem}
+                    onOpen={onAnalysisOpen}
+                  >
+                    <GenAISummaryChip review={activeReviewItem} />
+                  </GenAISummaryDialog>
+                )}
 
-                  return (
-                    <Tooltip key={cam}>
-                      <TooltipTrigger asChild>
-                        <div
-                          className={
-                            mainCameraAspect == "tall" ? "w-full" : "h-full"
-                          }
-                          style={{
-                            aspectRatio: getCameraAspect(cam),
-                          }}
-                        >
-                          <PreviewPlayer
-                            previewRef={previewRef}
-                            className="size-full"
-                            camera={cam}
-                            timeRange={currentTimeRange}
-                            cameraPreviews={allPreviews ?? []}
-                            startTime={startTime}
-                            isScrubbing={scrubbing}
-                            isVisible={visiblePreviews.includes(cam)}
-                            onControllerReady={(controller) => {
-                              previewRefs.current[cam] = controller;
-                              controller.scrubToTimestamp(startTime);
-                            }}
-                            onClick={() => onSelectCamera(cam)}
-                          />
-                        </div>
-                      </TooltipTrigger>
-                      <TooltipContent className="smart-capitalize">
-                        <CameraNameLabel camera={cam} />
-                      </TooltipContent>
-                    </Tooltip>
-                  );
-                })}
-                <div className="w-2" />
+                <DynamicVideoPlayer
+                  className={grow}
+                  camera={mainCamera}
+                  timeRange={currentTimeRange}
+                  cameraPreviews={allPreviews ?? []}
+                  startTimestamp={playbackStart}
+                  hotKeys={exportMode != "select"}
+                  fullscreen={fullscreen}
+                  onTimestampUpdate={(timestamp) => {
+                    setPlayerTime(timestamp);
+                    setCurrentTime(timestamp);
+                    Object.values(previewRefs.current ?? {}).forEach((prev) =>
+                      prev.scrubToTimestamp(Math.floor(timestamp)),
+                    );
+                  }}
+                  onClipEnded={onClipEnded}
+                  onSeekToTime={manuallySetCurrentTime}
+                  onControllerReady={(controller) => {
+                    mainControllerRef.current = controller;
+                  }}
+                  isScrubbing={scrubbing || exportMode == "timeline"}
+                  supportsFullscreen={supportsFullScreen}
+                  setFullResolution={setFullResolution}
+                  toggleFullscreen={toggleFullscreen}
+                  containerRef={mainLayoutRef}
+                />
               </div>
-            )}
+              {isDesktop && effectiveCameras.length > 1 && (
+                <div
+                  ref={previewRowRef}
+                  className={cn(
+                    "scrollbar-container flex flex-shrink-0 gap-2 overflow-auto",
+                    mainCameraAspect == "tall"
+                      ? "ml-2 h-full w-72 min-w-72 flex-col"
+                      : "h-28 min-h-28 w-full",
+                    previewRowOverflows ? "" : "items-center justify-center",
+                    timelineType == "detail" && isDesktop && "mt-4",
+                  )}
+                >
+                  <div className="w-2" />
+                  {effectiveCameras.map((cam) => {
+                    if (cam == mainCamera || cam == "birdseye") {
+                      return;
+                    }
+
+                    return (
+                      <Tooltip key={cam}>
+                        <TooltipTrigger asChild>
+                          <div
+                            className={
+                              mainCameraAspect == "tall" ? "w-full" : "h-full"
+                            }
+                            style={{
+                              aspectRatio: getCameraAspect(cam),
+                            }}
+                          >
+                            <PreviewPlayer
+                              previewRef={previewRef}
+                              className="size-full"
+                              camera={cam}
+                              timeRange={currentTimeRange}
+                              cameraPreviews={allPreviews ?? []}
+                              startTime={startTime}
+                              isScrubbing={scrubbing}
+                              isVisible={visiblePreviews.includes(cam)}
+                              onControllerReady={(controller) => {
+                                previewRefs.current[cam] = controller;
+                                controller.scrubToTimestamp(startTime);
+                              }}
+                              onClick={() => onSelectCamera(cam)}
+                            />
+                          </div>
+                        </TooltipTrigger>
+                        <TooltipContent className="smart-capitalize">
+                          <CameraNameLabel camera={cam} />
+                        </TooltipContent>
+                      </Tooltip>
+                    );
+                  })}
+                  <div className="w-2" />
+                </div>
+              )}
+            </div>
           </div>
+          <Timeline
+            contentRef={contentRef}
+            mainCamera={mainCamera}
+            timelineType={
+              (exportRange == undefined ? timelineType : "timeline") ??
+              "timeline"
+            }
+            timeRange={timeRange}
+            mainCameraReviewItems={mainCameraReviewItems}
+            activeReviewItem={activeReviewItem}
+            currentTime={currentTime}
+            exportRange={exportMode == "timeline" ? exportRange : undefined}
+            setCurrentTime={setCurrentTime}
+            manuallySetCurrentTime={manuallySetCurrentTime}
+            setScrubbing={setScrubbing}
+            setExportRange={setExportRange}
+            onAnalysisOpen={onAnalysisOpen}
+            isPlaying={mainControllerRef?.current?.isPlaying() ?? false}
+          />
         </div>
-        <Timeline
-          contentRef={contentRef}
-          mainCamera={mainCamera}
-          timelineType={
-            (exportRange == undefined ? timelineType : "timeline") ?? "timeline"
-          }
-          timeRange={timeRange}
-          mainCameraReviewItems={mainCameraReviewItems}
-          activeReviewItem={activeReviewItem}
-          currentTime={currentTime}
-          exportRange={exportMode == "timeline" ? exportRange : undefined}
-          setCurrentTime={setCurrentTime}
-          manuallySetCurrentTime={manuallySetCurrentTime}
-          setScrubbing={setScrubbing}
-          setExportRange={setExportRange}
-          onAnalysisOpen={onAnalysisOpen}
-        />
       </div>
-    </div>
+    </DetailStreamProvider>
   );
 }
 
@@ -799,6 +866,7 @@ type TimelineProps = {
   activeReviewItem?: ReviewSegment;
   currentTime: number;
   exportRange?: TimeRange;
+  isPlaying?: boolean;
   setCurrentTime: React.Dispatch<React.SetStateAction<number>>;
   manuallySetCurrentTime: (time: number, force: boolean) => void;
   setScrubbing: React.Dispatch<React.SetStateAction<boolean>>;
@@ -815,6 +883,7 @@ function Timeline({
   activeReviewItem,
   currentTime,
   exportRange,
+  isPlaying,
   setCurrentTime,
   manuallySetCurrentTime,
   setScrubbing,
@@ -832,7 +901,7 @@ function Timeline({
     timestampSpread: 15,
   });
 
-  const possibleZoomLevels = useMemo(
+  const possibleZoomLevels: ZoomLevel[] = useMemo(
     () => [
       { segmentDuration: 30, timestampSpread: 15 },
       { segmentDuration: 15, timestampSpread: 5 },
@@ -848,6 +917,14 @@ function Timeline({
     [possibleZoomLevels],
   );
 
+  const currentZoomLevel = useMemo(
+    () =>
+      possibleZoomLevels.findIndex(
+        (level) => level.segmentDuration === zoomSettings.segmentDuration,
+      ),
+    [possibleZoomLevels, zoomSettings.segmentDuration],
+  );
+
   const { isZooming, zoomDirection } = useTimelineZoom({
     zoomSettings,
     zoomLevels: possibleZoomLevels,
@@ -857,12 +934,20 @@ function Timeline({
   });
 
   // motion data
+  const { alignStartDateToTimeline, alignEndDateToTimeline } = useTimelineUtils(
+    {
+      segmentDuration: zoomSettings.segmentDuration,
+    },
+  );
+
+  const alignedAfter = alignStartDateToTimeline(timeRange.after);
+  const alignedBefore = alignEndDateToTimeline(timeRange.before);
 
   const { data: motionData, isLoading } = useSWR<MotionData[]>([
     "review/activity/motion",
     {
-      before: timeRange.before,
-      after: timeRange.after,
+      before: alignedBefore,
+      after: alignedAfter,
       scale: Math.round(zoomSettings.segmentDuration / 2),
       cameras: mainCamera,
     },
@@ -871,9 +956,9 @@ function Timeline({
   const { data: noRecordings } = useSWR<RecordingSegment[]>([
     "recordings/unavailable",
     {
-      before: timeRange.before,
-      after: timeRange.after,
-      scale: Math.round(zoomSettings.segmentDuration / 2),
+      before: alignedBefore,
+      after: alignedAfter,
+      scale: Math.round(zoomSettings.segmentDuration),
       cameras: mainCamera,
     },
   ]);
@@ -898,18 +983,36 @@ function Timeline({
   return (
     <div
       className={cn(
-        "relative",
+        "relative overflow-hidden",
         isDesktop
-          ? `${timelineType == "timeline" ? "w-[100px]" : "w-60"} no-scrollbar overflow-y-auto`
-          : `overflow-hidden portrait:flex-grow ${timelineType == "timeline" ? "landscape:w-[100px]" : "landscape:w-[175px]"}`,
+          ? cn(
+              timelineType == "timeline"
+                ? "w-[100px] flex-shrink-0"
+                : timelineType == "detail"
+                  ? "min-w-[20rem] max-w-[30%] flex-shrink-0 flex-grow-0 basis-[30rem] md:min-w-[20rem] md:max-w-[25%] lg:min-w-[30rem] lg:max-w-[33%]"
+                  : "w-80 flex-shrink-0",
+            )
+          : cn(
+              timelineType == "timeline"
+                ? "portrait:flex-grow landscape:w-[100px] landscape:flex-shrink-0"
+                : timelineType == "detail"
+                  ? "portrait:flex-grow landscape:w-[19rem] landscape:flex-shrink-0"
+                  : "portrait:flex-grow landscape:w-[19rem] landscape:flex-shrink-0",
+            ),
       )}
     >
-      {isMobile && (
-        <GenAISummaryDialog review={activeReviewItem} onOpen={onAnalysisOpen} />
+      {isMobile && timelineType == "timeline" && (
+        <GenAISummaryDialog review={activeReviewItem} onOpen={onAnalysisOpen}>
+          <GenAISummaryChip review={activeReviewItem} />
+        </GenAISummaryDialog>
       )}
 
-      <div className="pointer-events-none absolute inset-x-0 top-0 z-20 h-[30px] w-full bg-gradient-to-b from-secondary to-transparent"></div>
-      <div className="pointer-events-none absolute inset-x-0 bottom-0 z-20 h-[30px] w-full bg-gradient-to-t from-secondary to-transparent"></div>
+      {timelineType != "detail" && (
+        <>
+          <div className="pointer-events-none absolute inset-x-0 top-0 z-20 h-[30px] w-full bg-gradient-to-b from-secondary to-transparent"></div>
+          <div className="pointer-events-none absolute inset-x-0 bottom-0 z-20 h-[30px] w-full bg-gradient-to-t from-secondary to-transparent"></div>
+        </>
+      )}
       {timelineType == "timeline" ? (
         !isLoading ? (
           <MotionReviewTimeline
@@ -933,10 +1036,22 @@ function Timeline({
             onHandlebarDraggingChange={(scrubbing) => setScrubbing(scrubbing)}
             isZooming={isZooming}
             zoomDirection={zoomDirection}
+            onZoomChange={handleZoomChange}
+            possibleZoomLevels={possibleZoomLevels}
+            currentZoomLevel={currentZoomLevel}
           />
         ) : (
           <Skeleton className="size-full" />
         )
+      ) : timelineType == "detail" ? (
+        <DetailStream
+          currentTime={currentTime}
+          onSeek={(timestamp, play) =>
+            manuallySetCurrentTime(timestamp, play ?? true)
+          }
+          reviewItems={mainCameraReviewItems}
+          isPlaying={isPlaying}
+        />
       ) : (
         <div className="scrollbar-container h-full overflow-auto bg-secondary">
           <div
diff --git a/web/src/views/search/SearchView.tsx b/web/src/views/search/SearchView.tsx
index 5cd36beab..a373acc82 100644
--- a/web/src/views/search/SearchView.tsx
+++ b/web/src/views/search/SearchView.tsx
@@ -19,7 +19,6 @@ import useKeyboardListener, {
 import scrollIntoView from "scroll-into-view-if-needed";
 import InputWithTags from "@/components/input/InputWithTags";
 import { ScrollArea, ScrollBar } from "@/components/ui/scroll-area";
-import { isEqual } from "lodash";
 import { formatDateToLocaleString } from "@/utils/dateUtil";
 import SearchThumbnailFooter from "@/components/card/SearchThumbnailFooter";
 import ExploreSettings from "@/components/settings/SearchSettings";
@@ -80,6 +79,15 @@ export default function SearchView({
   });
   const navigate = useNavigate();
 
+  const { data: exploreEvents } = useSWR<SearchResult[]>(
+    (!searchFilter || Object.keys(searchFilter).length === 0) &&
+      !searchTerm &&
+      defaultView === "summary"
+      ? ["events/explore", { limit: isMobileOnly ? 5 : 10 }]
+      : null,
+    { revalidateOnFocus: true },
+  );
+
   // grid
 
   const gridClassName = cn(
@@ -135,6 +143,13 @@ export default function SearchView({
   }, [config, searchFilter, allowedCameras]);
 
   const { data: allSubLabels } = useSWR("sub_labels");
+  const hasCustomClassificationModels = useMemo(
+    () => Object.keys(config?.classification?.custom ?? {}).length > 0,
+    [config],
+  );
+  const { data: allAttributes } = useSWR(
+    hasCustomClassificationModels ? "classification/attributes" : null,
+  );
   const { data: allRecognizedLicensePlates } = useSWR(
     "recognized_license_plates",
   );
@@ -174,6 +189,7 @@ export default function SearchView({
       labels: Object.values(allLabels || {}),
       zones: Object.values(allZones || {}),
       sub_labels: allSubLabels,
+      ...(hasCustomClassificationModels && { attributes: allAttributes }),
       search_type: ["thumbnail", "description"] as SearchSource[],
       time_range:
         config?.ui.time_format == "24hour"
@@ -196,25 +212,41 @@ export default function SearchView({
       allLabels,
       allZones,
       allSubLabels,
+      allAttributes,
       allRecognizedLicensePlates,
       searchFilter,
       allowedCameras,
+      hasCustomClassificationModels,
     ],
   );
 
+  // detail
+
+  const [selectedId, setSelectedId] = useState<string>();
+  const [page, setPage] = useState<SearchTab>("snapshot");
+
   // remove duplicate event ids
 
   const uniqueResults = useMemo(() => {
-    return searchResults?.filter(
+    if (!searchResults) return [];
+
+    const results = searchResults.filter(
       (value, index, self) =>
         index === self.findIndex((v) => v.id === value.id),
     );
+
+    return results;
   }, [searchResults]);
 
-  // detail
-
-  const [searchDetail, setSearchDetail] = useState<SearchResult>();
-  const [page, setPage] = useState<SearchTab>("details");
+  const searchDetail = useMemo(() => {
+    if (!selectedId) return undefined;
+    // summary view
+    if (defaultView === "summary" && exploreEvents) {
+      return exploreEvents.find((r) => r.id === selectedId);
+    }
+    // grid view
+    return uniqueResults.find((r) => r.id === selectedId);
+  }, [selectedId, uniqueResults, exploreEvents, defaultView]);
 
   // search interaction
 
@@ -222,7 +254,7 @@ export default function SearchView({
   const itemRefs = useRef<(HTMLDivElement | null)[]>([]);
 
   const onSelectSearch = useCallback(
-    (item: SearchResult, ctrl: boolean, page: SearchTab = "details") => {
+    (item: SearchResult, ctrl: boolean, page: SearchTab = "snapshot") => {
       if (selectedObjects.length > 1 || ctrl) {
         const index = selectedObjects.indexOf(item.id);
 
@@ -243,7 +275,7 @@ export default function SearchView({
         }
       } else {
         setPage(page);
-        setSearchDetail(item);
+        setSelectedId(item.id);
       }
     },
     [selectedObjects],
@@ -282,20 +314,12 @@ export default function SearchView({
     }
   };
 
-  // update search detail when results change
-
+  // clear selected item when search results clear
   useEffect(() => {
-    if (searchDetail && searchResults) {
-      const flattenedResults = searchResults.flat();
-      const updatedSearchDetail = flattenedResults.find(
-        (result) => result.id === searchDetail.id,
-      );
-
-      if (updatedSearchDetail && !isEqual(updatedSearchDetail, searchDetail)) {
-        setSearchDetail(updatedSearchDetail);
-      }
+    if (!searchResults && !exploreEvents) {
+      setSelectedId(undefined);
     }
-  }, [searchResults, searchDetail]);
+  }, [searchResults, exploreEvents]);
 
   const hasExistingSearch = useMemo(
     () => searchResults != undefined || searchFilter != undefined,
@@ -306,13 +330,49 @@ export default function SearchView({
 
   const [inputFocused, setInputFocused] = useState(false);
 
+  const goToPrevious = useCallback(() => {
+    const results =
+      exploreEvents && defaultView === "summary"
+        ? exploreEvents.filter((event) => event.label === searchDetail?.label)
+        : uniqueResults;
+    if (results && results.length > 0) {
+      const currentIndex = searchDetail
+        ? results.findIndex((result) => result.id === searchDetail.id)
+        : -1;
+
+      const newIndex =
+        currentIndex === -1
+          ? results.length - 1
+          : (currentIndex - 1 + results.length) % results.length;
+
+      setSelectedId(results[newIndex].id);
+    }
+  }, [uniqueResults, exploreEvents, searchDetail, defaultView]);
+
+  const goToNext = useCallback(() => {
+    const results =
+      exploreEvents && defaultView === "summary"
+        ? exploreEvents.filter((event) => event.label === searchDetail?.label)
+        : uniqueResults;
+    if (results && results.length > 0) {
+      const currentIndex = searchDetail
+        ? results.findIndex((result) => result.id === searchDetail.id)
+        : -1;
+
+      const newIndex =
+        currentIndex === -1 ? 0 : (currentIndex + 1) % results.length;
+
+      setSelectedId(results[newIndex].id);
+    }
+  }, [uniqueResults, exploreEvents, searchDetail, defaultView]);
+
   const onKeyboardShortcut = useCallback(
     (key: string | null, modifiers: KeyModifiers) => {
       if (inputFocused) {
         return false;
       }
 
-      if (!modifiers.down || !uniqueResults) {
+      if (!modifiers.down || (!uniqueResults && !exploreEvents)) {
         return true;
       }
 
@@ -327,43 +387,23 @@ export default function SearchView({
           setSelectedObjects([]);
           return true;
         case "ArrowLeft":
-          if (uniqueResults.length > 0) {
-            const currentIndex = searchDetail
-              ? uniqueResults.findIndex(
-                  (result) => result.id === searchDetail.id,
-                )
-              : -1;
-
-            const newIndex =
-              currentIndex === -1
-                ? uniqueResults.length - 1
-                : (currentIndex - 1 + uniqueResults.length) %
-                  uniqueResults.length;
-
-            setSearchDetail(uniqueResults[newIndex]);
-          }
+          goToPrevious();
           return true;
         case "ArrowRight":
-          if (uniqueResults.length > 0) {
-            const currentIndex = searchDetail
-              ? uniqueResults.findIndex(
-                  (result) => result.id === searchDetail.id,
-                )
-              : -1;
-
-            const newIndex =
-              currentIndex === -1
-                ? 0
-                : (currentIndex + 1) % uniqueResults.length;
-
-            setSearchDetail(uniqueResults[newIndex]);
-          }
+          goToNext();
           return true;
       }
 
       return false;
     },
-    [uniqueResults, inputFocused, onSelectAllObjects, searchDetail],
+    [
+      uniqueResults,
+      exploreEvents,
+      inputFocused,
+      onSelectAllObjects,
+      goToPrevious,
+      goToNext,
+    ],
   );
 
   useKeyboardListener(
@@ -469,16 +509,22 @@ export default function SearchView({
   return (
     <div className="flex size-full flex-col pt-2 md:py-2">
       <Toaster closeButton={true} />
-      <SearchDetailDialog
-        search={searchDetail}
-        page={page}
-        setSearch={setSearchDetail}
-        setSearchPage={setPage}
-        setSimilarity={
-          searchDetail && (() => setSimilaritySearch(searchDetail))
-        }
-        setInputFocused={setInputFocused}
-      />
+      <div className="relative">
+        {searchDetail && (
+          <SearchDetailDialog
+            search={searchDetail}
+            page={page}
+            setSearch={(item) => setSelectedId(item?.id)}
+            setSearchPage={setPage}
+            setSimilarity={
+              searchDetail && (() => setSimilaritySearch(searchDetail))
+            }
+            setInputFocused={setInputFocused}
+            onPrevious={goToPrevious}
+            onNext={goToNext}
+          />
+        )}
+      </div>
 
       <div
         className={cn(
@@ -536,6 +582,8 @@ export default function SearchView({
                     selectedObjects={selectedObjects}
                     setSelectedObjects={setSelectedObjects}
                     pullLatestData={refresh}
+                    onSelectAllObjects={onSelectAllObjects}
+                    totalItems={uniqueResults.length}
                   />
                 </div>
               )}
@@ -577,7 +625,7 @@ export default function SearchView({
                   >
                     <div
                       className={cn(
-                        "aspect-square w-full overflow-hidden rounded-t-lg border",
+                        "relative aspect-square w-full overflow-hidden rounded-lg",
                       )}
                     >
                       <SearchThumbnail
@@ -588,7 +636,7 @@ export default function SearchView({
                           detail: boolean,
                         ) => {
                           if (detail && selectedObjects.length == 0) {
-                            setSearchDetail(value);
+                            setSelectedId(value.id);
                           } else {
                             onSelectSearch(
                               value,
@@ -634,38 +682,35 @@ export default function SearchView({
                           </Tooltip>
                         </div>
                       )}
+                      <div className="absolute bottom-0 left-0 right-0 z-30 bg-gradient-to-t from-black/70 to-transparent p-2">
+                        <SearchThumbnailFooter
+                          searchResult={value}
+                          columns={columns}
+                          findSimilar={() => {
+                            if (config?.semantic_search.enabled) {
+                              setSimilaritySearch(value);
+                            }
+                          }}
+                          refreshResults={refresh}
+                          showTrackingDetails={() =>
+                            onSelectSearch(value, false, "tracking_details")
+                          }
+                          addTrigger={() => {
+                            if (
+                              config?.semantic_search.enabled &&
+                              value.data.type == "object"
+                            ) {
+                              navigate(
+                                `/settings?page=triggers&camera=${value.camera}&event_id=${value.id}`,
+                              );
+                            }
+                          }}
+                        />
+                      </div>
                     </div>
                     <div
-                      className={`review-item-ring pointer-events-none absolute inset-0 z-10 size-full rounded-lg outline outline-[3px] -outline-offset-[2.8px] ${selected ? `shadow-selected outline-selected` : "outline-transparent duration-500"}`}
+                      className={`review-item-ring pointer-events-none absolute inset-0 z-30 size-full rounded-lg outline outline-[3px] -outline-offset-[2.8px] ${selected ? `shadow-selected outline-selected` : "outline-transparent duration-500"}`}
                     />
-                    <div className="flex w-full grow items-center justify-between rounded-b-lg border border-t-0 bg-card p-3 text-card-foreground">
-                      <SearchThumbnailFooter
-                        searchResult={value}
-                        columns={columns}
-                        findSimilar={() => {
-                          if (config?.semantic_search.enabled) {
-                            setSimilaritySearch(value);
-                          }
-                        }}
-                        refreshResults={refresh}
-                        showObjectLifecycle={() =>
-                          onSelectSearch(value, false, "object_lifecycle")
-                        }
-                        showSnapshot={() =>
-                          onSelectSearch(value, false, "snapshot")
-                        }
-                        addTrigger={() => {
-                          if (
-                            config?.semantic_search.enabled &&
-                            value.data.type == "object"
-                          ) {
-                            navigate(
-                              `/settings?page=triggers&camera=${value.camera}&event_id=${value.id}`,
-                            );
-                          }
-                        }}
-                      />
-                    </div>
                   </div>
                 );
               })}
@@ -686,8 +731,7 @@ export default function SearchView({
         defaultView == "summary" && (
           <div className="scrollbar-container flex size-full flex-col overflow-y-auto">
             <ExploreView
-              searchDetail={searchDetail}
-              setSearchDetail={setSearchDetail}
+              setSearchDetail={(item) => setSelectedId(item?.id)}
               setSimilaritySearch={setSimilaritySearch}
               onSelectSearch={onSelectSearch}
             />
diff --git a/web/src/views/settings/AuthenticationView.tsx b/web/src/views/settings/AuthenticationView.tsx
index db5f22555..225de37f8 100644
--- a/web/src/views/settings/AuthenticationView.tsx
+++ b/web/src/views/settings/AuthenticationView.tsx
@@ -36,7 +36,7 @@ import EditRoleCamerasDialog from "@/components/overlay/EditRoleCamerasDialog";
 import { useTranslation } from "react-i18next";
 import DeleteRoleDialog from "@/components/overlay/DeleteRoleDialog";
 import { Separator } from "@/components/ui/separator";
-import { CameraNameLabel } from "@/components/camera/CameraNameLabel";
+import { CameraNameLabel } from "@/components/camera/FriendlyNameLabel";
 
 type AuthenticationViewProps = {
   section?: "users" | "roles";
@@ -57,6 +57,8 @@ export default function AuthenticationView({
   const [showCreateRole, setShowCreateRole] = useState(false);
   const [showEditRole, setShowEditRole] = useState(false);
   const [showDeleteRole, setShowDeleteRole] = useState(false);
+  const [passwordError, setPasswordError] = useState<string | null>(null);
+  const [isPasswordLoading, setIsPasswordLoading] = useState(false);
 
   const [selectedUser, setSelectedUser] = useState<string>();
   const [selectedUserRole, setSelectedUserRole] = useState<string>();
@@ -70,12 +72,15 @@ export default function AuthenticationView({
   }, [t]);
 
   const onSavePassword = useCallback(
-    (user: string, password: string) => {
+    (user: string, password: string, oldPassword?: string) => {
+      setIsPasswordLoading(true);
       axios
-        .put(`users/${user}/password`, { password })
+        .put(`users/${user}/password`, { password, old_password: oldPassword })
         .then((response) => {
           if (response.status === 200) {
             setShowSetPassword(false);
+            setPasswordError(null);
+            setIsPasswordLoading(false);
             toast.success(t("users.toast.success.updatePassword"), {
               position: "top-center",
             });
@@ -86,14 +91,10 @@ export default function AuthenticationView({
             error.response?.data?.message ||
             error.response?.data?.detail ||
             "Unknown error";
-          toast.error(
-            t("users.toast.error.setPasswordFailed", {
-              errorMessage,
-            }),
-            {
-              position: "top-center",
-            },
-          );
+
+          // Keep dialog open and show error
+          setPasswordError(errorMessage);
+          setIsPasswordLoading(false);
         });
     },
     [t],
@@ -478,33 +479,32 @@ export default function AuthenticationView({
                       <TableCell className="text-right">
                         <TooltipProvider>
                           <div className="flex items-center justify-end gap-2">
-                            {user.username !== "admin" &&
-                              user.username !== "viewer" && (
-                                <Tooltip>
-                                  <TooltipTrigger asChild>
-                                    <Button
-                                      size="sm"
-                                      variant="outline"
-                                      className="h-8 px-2"
-                                      onClick={() => {
-                                        setSelectedUser(user.username);
-                                        setSelectedUserRole(
-                                          user.role || "viewer",
-                                        );
-                                        setShowRoleChange(true);
-                                      }}
-                                    >
-                                      <LuUserCog className="size-3.5" />
-                                      <span className="ml-1.5 hidden sm:inline-block">
-                                        {t("role.title", { ns: "common" })}
-                                      </span>
-                                    </Button>
-                                  </TooltipTrigger>
-                                  <TooltipContent>
-                                    <p>{t("users.table.changeRole")}</p>
-                                  </TooltipContent>
-                                </Tooltip>
-                              )}
+                            {user.username !== "admin" && (
+                              <Tooltip>
+                                <TooltipTrigger asChild>
+                                  <Button
+                                    size="sm"
+                                    variant="outline"
+                                    className="h-8 px-2"
+                                    onClick={() => {
+                                      setSelectedUser(user.username);
+                                      setSelectedUserRole(
+                                        user.role || "viewer",
+                                      );
+                                      setShowRoleChange(true);
+                                    }}
+                                  >
+                                    <LuUserCog className="size-3.5" />
+                                    <span className="ml-1.5 hidden sm:inline-block">
+                                      {t("role.title", { ns: "common" })}
+                                    </span>
+                                  </Button>
+                                </TooltipTrigger>
+                                <TooltipContent>
+                                  <p>{t("users.table.changeRole")}</p>
+                                </TooltipContent>
+                              </Tooltip>
+                            )}
 
                             <Tooltip>
                               <TooltipTrigger asChild>
@@ -564,8 +564,15 @@ export default function AuthenticationView({
       </div>
       <SetPasswordDialog
         show={showSetPassword}
-        onCancel={() => setShowSetPassword(false)}
-        onSave={(password) => onSavePassword(selectedUser!, password)}
+        onCancel={() => {
+          setShowSetPassword(false);
+          setPasswordError(null);
+        }}
+        initialError={passwordError}
+        onSave={(password, oldPassword) =>
+          onSavePassword(selectedUser!, password, oldPassword)
+        }
+        isLoading={isPasswordLoading}
       />
       <DeleteUserDialog
         show={showDelete}
@@ -784,7 +791,7 @@ export default function AuthenticationView({
   return (
     <div className="flex size-full flex-col">
       <Toaster position="top-center" closeButton={true} />
-      <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto pb-2 md:order-none md:mr-3 md:mt-0">
+      <div className="scrollbar-container order-last mb-2 mt-2 flex h-full w-full flex-col overflow-y-auto pb-2 md:order-none md:mr-3 md:mt-0">
         {section === "users" && UsersSection}
         {section === "roles" && RolesSection}
         {!section && (
diff --git a/web/src/views/settings/CameraManagementView.tsx b/web/src/views/settings/CameraManagementView.tsx
new file mode 100644
index 000000000..77231de45
--- /dev/null
+++ b/web/src/views/settings/CameraManagementView.tsx
@@ -0,0 +1,171 @@
+import Heading from "@/components/ui/heading";
+import { useCallback, useEffect, useMemo, useState } from "react";
+import { Toaster } from "@/components/ui/sonner";
+import { Button } from "@/components/ui/button";
+import useSWR from "swr";
+import { FrigateConfig } from "@/types/frigateConfig";
+import { useTranslation } from "react-i18next";
+import CameraEditForm from "@/components/settings/CameraEditForm";
+import CameraWizardDialog from "@/components/settings/CameraWizardDialog";
+import { LuPlus } from "react-icons/lu";
+import { IoMdArrowRoundBack } from "react-icons/io";
+import { isDesktop } from "react-device-detect";
+import { CameraNameLabel } from "@/components/camera/FriendlyNameLabel";
+import { Switch } from "@/components/ui/switch";
+import { Trans } from "react-i18next";
+import { Separator } from "@/components/ui/separator";
+import { useEnabledState } from "@/api/ws";
+
+type CameraManagementViewProps = {
+  setUnsavedChanges: React.Dispatch<React.SetStateAction<boolean>>;
+};
+
+export default function CameraManagementView({
+  setUnsavedChanges,
+}: CameraManagementViewProps) {
+  const { t } = useTranslation(["views/settings"]);
+
+  const { data: config, mutate: updateConfig } =
+    useSWR<FrigateConfig>("config");
+
+  const [viewMode, setViewMode] = useState<"settings" | "add" | "edit">(
+    "settings",
+  ); // Control view state
+  const [editCameraName, setEditCameraName] = useState<string | undefined>(
+    undefined,
+  ); // Track camera being edited
+  const [showWizard, setShowWizard] = useState(false);
+
+  // List of cameras for dropdown
+  const cameras = useMemo(() => {
+    if (config) {
+      return Object.keys(config.cameras).sort();
+    }
+    return [];
+  }, [config]);
+
+  useEffect(() => {
+    document.title = t("documentTitle.cameraManagement");
+  }, [t]);
+
+  // Handle back navigation from add/edit form
+  const handleBack = useCallback(() => {
+    setViewMode("settings");
+    setEditCameraName(undefined);
+    setUnsavedChanges(false);
+    updateConfig();
+  }, [updateConfig, setUnsavedChanges]);
+
+  return (
+    <>
+      <Toaster
+        richColors
+        className="z-[1000]"
+        position="top-center"
+        closeButton
+      />
+      <div className="flex size-full flex-col md:flex-row">
+        <div className="scrollbar-container order-last mb-2 mt-2 flex h-full w-full flex-col overflow-y-auto pb-2 md:order-none">
+          {viewMode === "settings" ? (
+            <>
+              <Heading as="h4" className="mb-2">
+                {t("cameraManagement.title")}
+              </Heading>
+              <div className="my-4 flex flex-col gap-4">
+                <Button
+                  variant="select"
+                  onClick={() => setShowWizard(true)}
+                  className="flex max-w-48 items-center gap-2"
+                >
+                  <LuPlus className="h-4 w-4" />
+                  {t("cameraManagement.addCamera")}
+                </Button>
+                {cameras.length > 0 && (
+                  <>
+                    <Separator className="my-2 flex bg-secondary" />
+                    <div className="max-w-7xl space-y-4">
+                      <Heading as="h4" className="my-2">
+                        <Trans ns="views/settings">
+                          cameraManagement.streams.title
+                        </Trans>
+                      </Heading>
+                      <div className="mt-3 text-sm text-muted-foreground">
+                        <Trans ns="views/settings">
+                          cameraManagement.streams.desc
+                        </Trans>
+                      </div>
+
+                      <div className="max-w-md space-y-2 rounded-lg bg-secondary p-4">
+                        {cameras.map((camera) => (
+                          <div
+                            key={camera}
+                            className="flex items-center justify-between smart-capitalize"
+                          >
+                            <CameraNameLabel camera={camera} />
+                            <CameraEnableSwitch cameraName={camera} />
+                          </div>
+                        ))}
+                      </div>
+                    </div>
+                    <Separator className="mb-2 mt-4 flex bg-secondary" />
+                  </>
+                )}
+              </div>
+            </>
+          ) : (
+            <>
+              <div className="mb-4 flex items-center gap-2">
+                <Button
+                  className={`flex items-center gap-2.5 rounded-lg`}
+                  aria-label={t("label.back", { ns: "common" })}
+                  size="sm"
+                  onClick={handleBack}
+                >
+                  <IoMdArrowRoundBack className="size-5 text-secondary-foreground" />
+                  {isDesktop && (
+                    <div className="text-primary">
+                      {t("button.back", { ns: "common" })}
+                    </div>
+                  )}
+                </Button>
+              </div>
+              <div className="md:max-w-5xl">
+                <CameraEditForm
+                  cameraName={viewMode === "edit" ? editCameraName : undefined}
+                  onSave={handleBack}
+                  onCancel={handleBack}
+                />
+              </div>
+            </>
+          )}
+        </div>
+      </div>
+
+      <CameraWizardDialog
+        open={showWizard}
+        onClose={() => setShowWizard(false)}
+      />
+    </>
+  );
+}
+
+type CameraEnableSwitchProps = {
+  cameraName: string;
+};
+
+function CameraEnableSwitch({ cameraName }: CameraEnableSwitchProps) {
+  const { payload: enabledState, send: sendEnabled } =
+    useEnabledState(cameraName);
+
+  return (
+    <div className="flex flex-row items-center">
+      <Switch
+        id={`camera-enabled-${cameraName}`}
+        checked={enabledState === "ON"}
+        onCheckedChange={(isChecked) => {
+          sendEnabled(isChecked ? "ON" : "OFF");
+        }}
+      />
+    </div>
+  );
+}
diff --git a/web/src/views/settings/CameraReviewSettingsView.tsx b/web/src/views/settings/CameraReviewSettingsView.tsx
new file mode 100644
index 000000000..974ed1ed6
--- /dev/null
+++ b/web/src/views/settings/CameraReviewSettingsView.tsx
@@ -0,0 +1,751 @@
+import Heading from "@/components/ui/heading";
+import { useCallback, useContext, useEffect, useMemo, useState } from "react";
+import { toast } from "sonner";
+import { Toaster } from "@/components/ui/sonner";
+import {
+  Form,
+  FormControl,
+  FormDescription,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+} from "@/components/ui/form";
+import { zodResolver } from "@hookform/resolvers/zod";
+import { useForm } from "react-hook-form";
+import { z } from "zod";
+import { Separator } from "@/components/ui/separator";
+import { Button } from "@/components/ui/button";
+import useSWR from "swr";
+import { FrigateConfig } from "@/types/frigateConfig";
+import { Checkbox } from "@/components/ui/checkbox";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
+import { StatusBarMessagesContext } from "@/context/statusbar-provider";
+import axios from "axios";
+import { Link } from "react-router-dom";
+import { LuExternalLink } from "react-icons/lu";
+import { MdCircle } from "react-icons/md";
+import { cn } from "@/lib/utils";
+import { Trans, useTranslation } from "react-i18next";
+import { Switch } from "@/components/ui/switch";
+import { Label } from "@/components/ui/label";
+import { useDocDomain } from "@/hooks/use-doc-domain";
+import { getTranslatedLabel } from "@/utils/i18n";
+import {
+  useAlertsState,
+  useDetectionsState,
+  useObjectDescriptionState,
+  useReviewDescriptionState,
+} from "@/api/ws";
+import { useCameraFriendlyName } from "@/hooks/use-camera-friendly-name";
+import { resolveZoneName } from "@/hooks/use-zone-friendly-name";
+import { formatList } from "@/utils/stringUtil";
+
+type CameraReviewSettingsViewProps = {
+  selectedCamera: string;
+  setUnsavedChanges: React.Dispatch<React.SetStateAction<boolean>>;
+};
+
+type CameraReviewSettingsValueType = {
+  alerts_zones: string[];
+  detections_zones: string[];
+};
+
+export default function CameraReviewSettingsView({
+  selectedCamera,
+  setUnsavedChanges,
+}: CameraReviewSettingsViewProps) {
+  const { t } = useTranslation(["views/settings"]);
+  const { getLocaleDocUrl } = useDocDomain();
+
+  const { data: config, mutate: updateConfig } =
+    useSWR<FrigateConfig>("config");
+
+  const cameraConfig = useMemo(() => {
+    if (config && selectedCamera) {
+      return config.cameras[selectedCamera];
+    }
+  }, [config, selectedCamera]);
+
+  const [changedValue, setChangedValue] = useState(false);
+  const [isLoading, setIsLoading] = useState(false);
+  const [selectDetections, setSelectDetections] = useState(false);
+
+  const { addMessage, removeMessage } = useContext(StatusBarMessagesContext)!;
+
+  const selectCameraName = useCameraFriendlyName(selectedCamera);
+
+  // zones and labels
+
+  const getZoneName = useCallback(
+    (zoneId: string, cameraId?: string) =>
+      resolveZoneName(config, zoneId, cameraId),
+    [config],
+  );
+
+  const zones = useMemo(() => {
+    if (cameraConfig) {
+      return Object.entries(cameraConfig.zones).map(([name, zoneData]) => ({
+        camera: cameraConfig.name,
+        name,
+        friendly_name: cameraConfig.zones[name].friendly_name,
+        objects: zoneData.objects,
+        color: zoneData.color,
+      }));
+    }
+  }, [cameraConfig]);
+
+  const alertsLabels = useMemo(() => {
+    return cameraConfig?.review.alerts.labels
+      ? formatList(
+          cameraConfig.review.alerts.labels.map((label) =>
+            getTranslatedLabel(
+              label,
+              cameraConfig?.audio?.listen?.includes(label) ? "audio" : "object",
+            ),
+          ),
+        )
+      : "";
+  }, [cameraConfig]);
+
+  const detectionsLabels = useMemo(() => {
+    return cameraConfig?.review.detections.labels
+      ? formatList(
+          cameraConfig.review.detections.labels.map((label) =>
+            getTranslatedLabel(
+              label,
+              cameraConfig?.audio?.listen?.includes(label) ? "audio" : "object",
+            ),
+          ),
+        )
+      : "";
+  }, [cameraConfig]);
+
+  // form
+
+  const formSchema = z.object({
+    alerts_zones: z.array(z.string()),
+    detections_zones: z.array(z.string()),
+  });
+
+  const form = useForm<z.infer<typeof formSchema>>({
+    resolver: zodResolver(formSchema),
+    mode: "onChange",
+    defaultValues: {
+      alerts_zones: cameraConfig?.review.alerts.required_zones || [],
+      detections_zones: cameraConfig?.review.detections.required_zones || [],
+    },
+  });
+
+  const watchedAlertsZones = form.watch("alerts_zones");
+  const watchedDetectionsZones = form.watch("detections_zones");
+
+  const { payload: alertsState, send: sendAlerts } =
+    useAlertsState(selectedCamera);
+  const { payload: detectionsState, send: sendDetections } =
+    useDetectionsState(selectedCamera);
+
+  const { payload: objDescState, send: sendObjDesc } =
+    useObjectDescriptionState(selectedCamera);
+  const { payload: revDescState, send: sendRevDesc } =
+    useReviewDescriptionState(selectedCamera);
+
+  const handleCheckedChange = useCallback(
+    (isChecked: boolean) => {
+      if (!isChecked) {
+        form.reset({
+          alerts_zones: watchedAlertsZones,
+          detections_zones: [],
+        });
+      }
+      setChangedValue(true);
+      setUnsavedChanges(true);
+      setSelectDetections(isChecked as boolean);
+    },
+    // we know that these deps are correct
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+    [watchedAlertsZones, setUnsavedChanges],
+  );
+
+  const saveToConfig = useCallback(
+    async (
+      { alerts_zones, detections_zones }: CameraReviewSettingsValueType, // values submitted via the form
+    ) => {
+      const createQuery = (zones: string[], type: "alerts" | "detections") =>
+        zones.length
+          ? zones
+              .map(
+                (zone) =>
+                  `&cameras.${selectedCamera}.review.${type}.required_zones=${zone}`,
+              )
+              .join("")
+          : cameraConfig?.review[type]?.required_zones &&
+              cameraConfig?.review[type]?.required_zones.length > 0
+            ? `&cameras.${selectedCamera}.review.${type}.required_zones`
+            : "";
+
+      const alertQueries = createQuery(alerts_zones, "alerts");
+      const detectionQueries = createQuery(detections_zones, "detections");
+
+      axios
+        .put(`config/set?${alertQueries}${detectionQueries}`, {
+          requires_restart: 0,
+        })
+        .then((res) => {
+          if (res.status === 200) {
+            toast.success(
+              t("cameraReview.reviewClassification.toast.success"),
+              {
+                position: "top-center",
+              },
+            );
+            setChangedValue(false);
+            setUnsavedChanges(false);
+            updateConfig();
+          } else {
+            toast.error(
+              t("toast.save.error.title", {
+                errorMessage: res.statusText,
+                ns: "common",
+              }),
+              {
+                position: "top-center",
+              },
+            );
+          }
+        })
+        .catch((error) => {
+          const errorMessage =
+            error.response?.data?.message ||
+            error.response?.data?.detail ||
+            "Unknown error";
+          toast.error(
+            t("toast.save.error.title", {
+              errorMessage,
+              ns: "common",
+            }),
+            {
+              position: "top-center",
+            },
+          );
+        })
+        .finally(() => {
+          setIsLoading(false);
+        });
+    },
+    [
+      updateConfig,
+      setIsLoading,
+      selectedCamera,
+      cameraConfig,
+      t,
+      setUnsavedChanges,
+    ],
+  );
+
+  const onCancel = useCallback(() => {
+    if (!cameraConfig) {
+      return;
+    }
+
+    setChangedValue(false);
+    setUnsavedChanges(false);
+    removeMessage(
+      "camera_settings",
+      `review_classification_settings_${selectedCamera}`,
+    );
+    form.reset({
+      alerts_zones: cameraConfig?.review.alerts.required_zones ?? [],
+      detections_zones: cameraConfig?.review.detections.required_zones || [],
+    });
+    setSelectDetections(
+      !!cameraConfig?.review.detections.required_zones?.length,
+    );
+    // we know that these deps are correct
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [removeMessage, selectedCamera, setUnsavedChanges, cameraConfig]);
+
+  useEffect(() => {
+    onCancel();
+    // we know that these deps are correct
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [selectedCamera]);
+
+  useEffect(() => {
+    if (changedValue) {
+      addMessage(
+        "camera_settings",
+        t("cameraReview.reviewClassification.unsavedChanges", {
+          camera: selectedCamera,
+        }),
+        undefined,
+        `review_classification_settings_${selectedCamera}`,
+      );
+    } else {
+      removeMessage(
+        "camera_settings",
+        `review_classification_settings_${selectedCamera}`,
+      );
+    }
+    // we know that these deps are correct
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [changedValue, selectedCamera]);
+
+  function onSubmit(values: z.infer<typeof formSchema>) {
+    setIsLoading(true);
+
+    saveToConfig(values as CameraReviewSettingsValueType);
+  }
+
+  useEffect(() => {
+    document.title = t("documentTitle.cameraReview");
+  }, [t]);
+
+  if (!cameraConfig && !selectedCamera) {
+    return <ActivityIndicator />;
+  }
+
+  return (
+    <>
+      <div className="flex size-full flex-col md:flex-row">
+        <Toaster position="top-center" closeButton={true} />
+        <div className="scrollbar-container order-last mb-2 mt-2 flex h-full w-full flex-col overflow-y-auto pb-2 md:order-none">
+          <Heading as="h4" className="mb-2">
+            {t("cameraReview.title")}
+          </Heading>
+
+          <Heading as="h4" className="my-2">
+            <Trans ns="views/settings">cameraReview.review.title</Trans>
+          </Heading>
+
+          <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 space-y-3 text-sm text-primary-variant">
+            <div className="flex flex-row items-center">
+              <Switch
+                id="alerts-enabled"
+                className="mr-3"
+                checked={alertsState == "ON"}
+                onCheckedChange={(isChecked) => {
+                  sendAlerts(isChecked ? "ON" : "OFF");
+                }}
+              />
+              <div className="space-y-0.5">
+                <Label htmlFor="alerts-enabled">
+                  <Trans ns="views/settings">cameraReview.review.alerts</Trans>
+                </Label>
+              </div>
+            </div>
+            <div className="flex flex-col">
+              <div className="flex flex-row items-center">
+                <Switch
+                  id="detections-enabled"
+                  className="mr-3"
+                  checked={detectionsState == "ON"}
+                  onCheckedChange={(isChecked) => {
+                    sendDetections(isChecked ? "ON" : "OFF");
+                  }}
+                />
+                <div className="space-y-0.5">
+                  <Label htmlFor="detections-enabled">
+                    <Trans ns="views/settings">camera.review.detections</Trans>
+                  </Label>
+                </div>
+              </div>
+              <div className="mt-3 text-sm text-muted-foreground">
+                <Trans ns="views/settings">cameraReview.review.desc</Trans>
+              </div>
+            </div>
+          </div>
+          {cameraConfig?.objects?.genai?.enabled_in_config && (
+            <>
+              <Separator className="my-2 flex bg-secondary" />
+
+              <Heading as="h4" className="my-2">
+                <Trans ns="views/settings">
+                  cameraReview.object_descriptions.title
+                </Trans>
+              </Heading>
+
+              <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 space-y-3 text-sm text-primary-variant">
+                <div className="flex flex-row items-center">
+                  <Switch
+                    id="alerts-enabled"
+                    className="mr-3"
+                    checked={objDescState == "ON"}
+                    onCheckedChange={(isChecked) => {
+                      sendObjDesc(isChecked ? "ON" : "OFF");
+                    }}
+                  />
+                  <div className="space-y-0.5">
+                    <Label htmlFor="genai-enabled">
+                      <Trans>button.enabled</Trans>
+                    </Label>
+                  </div>
+                </div>
+                <div className="mt-3 text-sm text-muted-foreground">
+                  <Trans ns="views/settings">
+                    cameraReview.object_descriptions.desc
+                  </Trans>
+                </div>
+              </div>
+            </>
+          )}
+
+          {cameraConfig?.review?.genai?.enabled_in_config && (
+            <>
+              <Separator className="my-2 flex bg-secondary" />
+
+              <Heading as="h4" className="my-2">
+                <Trans ns="views/settings">
+                  cameraReview.review_descriptions.title
+                </Trans>
+              </Heading>
+
+              <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 space-y-3 text-sm text-primary-variant">
+                <div className="flex flex-row items-center">
+                  <Switch
+                    id="alerts-enabled"
+                    className="mr-3"
+                    checked={revDescState == "ON"}
+                    onCheckedChange={(isChecked) => {
+                      sendRevDesc(isChecked ? "ON" : "OFF");
+                    }}
+                  />
+                  <div className="space-y-0.5">
+                    <Label htmlFor="genai-enabled">
+                      <Trans>button.enabled</Trans>
+                    </Label>
+                  </div>
+                </div>
+                <div className="mt-3 text-sm text-muted-foreground">
+                  <Trans ns="views/settings">
+                    cameraReview.review_descriptions.desc
+                  </Trans>
+                </div>
+              </div>
+            </>
+          )}
+
+          <Separator className="my-2 flex bg-secondary" />
+
+          <Heading as="h4" className="my-2">
+            <Trans ns="views/settings">
+              cameraReview.reviewClassification.title
+            </Trans>
+          </Heading>
+
+          <div className="max-w-6xl">
+            <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 text-sm text-primary-variant">
+              <p>
+                <Trans ns="views/settings">
+                  cameraReview.reviewClassification.desc
+                </Trans>
+              </p>
+              <div className="flex items-center text-primary">
+                <Link
+                  to={getLocaleDocUrl("configuration/review")}
+                  target="_blank"
+                  rel="noopener noreferrer"
+                  className="inline"
+                >
+                  {t("readTheDocumentation", { ns: "common" })}
+                  <LuExternalLink className="ml-2 inline-flex size-3" />
+                </Link>
+              </div>
+            </div>
+          </div>
+
+          <Form {...form}>
+            <form
+              onSubmit={form.handleSubmit(onSubmit)}
+              className="mt-2 space-y-6"
+            >
+              <div
+                className={cn(
+                  "w-full max-w-5xl space-y-0",
+                  zones &&
+                    zones?.length > 0 &&
+                    "grid items-start gap-5 md:grid-cols-2",
+                )}
+              >
+                <FormField
+                  control={form.control}
+                  name="alerts_zones"
+                  render={() => (
+                    <FormItem>
+                      {zones && zones?.length > 0 ? (
+                        <>
+                          <div className="mb-2">
+                            <FormLabel className="flex flex-row items-center text-base">
+                              <Trans ns="views/settings">
+                                camera.review.alerts
+                              </Trans>
+                              <MdCircle className="ml-3 size-2 text-severity_alert" />
+                            </FormLabel>
+                            <FormDescription>
+                              <Trans ns="views/settings">
+                                cameraReview.reviewClassification.selectAlertsZones
+                              </Trans>
+                            </FormDescription>
+                          </div>
+                          <div className="max-w-md rounded-lg bg-secondary p-4 md:max-w-full">
+                            {zones?.map((zone) => (
+                              <FormField
+                                key={zone.name}
+                                control={form.control}
+                                name="alerts_zones"
+                                render={({ field }) => (
+                                  <FormItem
+                                    key={zone.name}
+                                    className="mb-3 flex flex-row items-center space-x-3 space-y-0 last:mb-0"
+                                  >
+                                    <FormControl>
+                                      <Checkbox
+                                        className="size-5 text-white accent-white data-[state=checked]:bg-selected data-[state=checked]:text-white"
+                                        checked={field.value?.includes(
+                                          zone.name,
+                                        )}
+                                        onCheckedChange={(checked) => {
+                                          setChangedValue(true);
+                                          setUnsavedChanges(true);
+                                          return checked
+                                            ? field.onChange([
+                                                ...field.value,
+                                                zone.name,
+                                              ])
+                                            : field.onChange(
+                                                field.value?.filter(
+                                                  (value) =>
+                                                    value !== zone.name,
+                                                ),
+                                              );
+                                        }}
+                                      />
+                                    </FormControl>
+                                    <FormLabel
+                                      className={cn(
+                                        "font-normal",
+                                        !zone.friendly_name &&
+                                          "smart-capitalize",
+                                      )}
+                                    >
+                                      {zone.friendly_name || zone.name}
+                                    </FormLabel>
+                                  </FormItem>
+                                )}
+                              />
+                            ))}
+                          </div>
+                        </>
+                      ) : (
+                        <div className="font-normal text-destructive">
+                          <Trans ns="views/settings">
+                            cameraReview.reviewClassification.noDefinedZones
+                          </Trans>
+                        </div>
+                      )}
+                      <FormMessage />
+                      <div className="text-sm">
+                        {watchedAlertsZones && watchedAlertsZones.length > 0
+                          ? t(
+                              "cameraReview.reviewClassification.zoneObjectAlertsTips",
+                              {
+                                alertsLabels,
+                                zone: formatList(
+                                  watchedAlertsZones.map((zone) =>
+                                    getZoneName(zone),
+                                  ),
+                                ),
+                                cameraName: selectCameraName,
+                              },
+                            )
+                          : t(
+                              "cameraReview.reviewClassification.objectAlertsTips",
+                              {
+                                alertsLabels,
+                                cameraName: selectCameraName,
+                              },
+                            )}
+                      </div>
+                    </FormItem>
+                  )}
+                />
+
+                <FormField
+                  control={form.control}
+                  name="detections_zones"
+                  render={() => (
+                    <FormItem>
+                      {zones && zones?.length > 0 && (
+                        <>
+                          <div className="mb-2">
+                            <FormLabel className="flex flex-row items-center text-base">
+                              <Trans ns="views/settings">
+                                camera.review.detections
+                              </Trans>
+                              <MdCircle className="ml-3 size-2 text-severity_detection" />
+                            </FormLabel>
+                            {selectDetections && (
+                              <FormDescription>
+                                <Trans ns="views/settings">
+                                  cameraReview.reviewClassification.selectDetectionsZones
+                                </Trans>
+                              </FormDescription>
+                            )}
+                          </div>
+
+                          {selectDetections && (
+                            <div className="max-w-md rounded-lg bg-secondary p-4 md:max-w-full">
+                              {zones?.map((zone) => (
+                                <FormField
+                                  key={zone.name}
+                                  control={form.control}
+                                  name="detections_zones"
+                                  render={({ field }) => (
+                                    <FormItem
+                                      key={zone.name}
+                                      className="mb-3 flex flex-row items-center space-x-3 space-y-0 last:mb-0"
+                                    >
+                                      <FormControl>
+                                        <Checkbox
+                                          className="size-5 text-white accent-white data-[state=checked]:bg-selected data-[state=checked]:text-white"
+                                          checked={field.value?.includes(
+                                            zone.name,
+                                          )}
+                                          onCheckedChange={(checked) => {
+                                            setChangedValue(true);
+                                            setUnsavedChanges(true);
+                                            return checked
+                                              ? field.onChange([
+                                                  ...field.value,
+                                                  zone.name,
+                                                ])
+                                              : field.onChange(
+                                                  field.value?.filter(
+                                                    (value) =>
+                                                      value !== zone.name,
+                                                  ),
+                                                );
+                                          }}
+                                        />
+                                      </FormControl>
+                                      <FormLabel
+                                        className={cn(
+                                          "font-normal",
+                                          !zone.friendly_name &&
+                                            "smart-capitalize",
+                                        )}
+                                      >
+                                        {zone.friendly_name || zone.name}
+                                      </FormLabel>
+                                    </FormItem>
+                                  )}
+                                />
+                              ))}
+                            </div>
+                          )}
+                          <FormMessage />
+
+                          <div className="mb-0 flex flex-row items-center gap-2">
+                            <Checkbox
+                              id="select-detections"
+                              className="size-5 text-white accent-white data-[state=checked]:bg-selected data-[state=checked]:text-white"
+                              checked={selectDetections}
+                              onCheckedChange={handleCheckedChange}
+                            />
+                            <div className="grid gap-1.5 leading-none">
+                              <label
+                                htmlFor="select-detections"
+                                className="text-sm font-medium leading-none peer-disabled:cursor-not-allowed peer-disabled:opacity-70"
+                              >
+                                <Trans ns="views/settings">
+                                  cameraReview.reviewClassification.limitDetections
+                                </Trans>
+                              </label>
+                            </div>
+                          </div>
+                        </>
+                      )}
+
+                      <div className="text-sm">
+                        {watchedDetectionsZones &&
+                        watchedDetectionsZones.length > 0 ? (
+                          !selectDetections ? (
+                            <Trans
+                              i18nKey="cameraReview.reviewClassification.zoneObjectDetectionsTips.text"
+                              values={{
+                                detectionsLabels,
+                                zone: formatList(
+                                  watchedDetectionsZones.map((zone) =>
+                                    getZoneName(zone),
+                                  ),
+                                ),
+                                cameraName: selectCameraName,
+                              }}
+                              ns="views/settings"
+                            />
+                          ) : (
+                            <Trans
+                              i18nKey="cameraReview.reviewClassification.zoneObjectDetectionsTips.notSelectDetections"
+                              values={{
+                                detectionsLabels,
+                                zone: formatList(
+                                  watchedDetectionsZones.map((zone) =>
+                                    getZoneName(zone),
+                                  ),
+                                ),
+                                cameraName: selectCameraName,
+                              }}
+                              ns="views/settings"
+                            />
+                          )
+                        ) : (
+                          <Trans
+                            i18nKey="cameraReview.reviewClassification.objectDetectionsTips"
+                            values={{
+                              detectionsLabels,
+                              cameraName: selectCameraName,
+                            }}
+                            ns="views/settings"
+                          />
+                        )}
+                      </div>
+                    </FormItem>
+                  )}
+                />
+              </div>
+
+              <div className="flex w-full flex-row items-center gap-2 pt-2 md:w-[25%]">
+                <Button
+                  className="flex flex-1"
+                  aria-label={t("button.reset", { ns: "common" })}
+                  onClick={onCancel}
+                  type="button"
+                >
+                  <Trans>button.reset</Trans>
+                </Button>
+                <Button
+                  variant="select"
+                  disabled={!changedValue || isLoading}
+                  className="flex flex-1"
+                  aria-label={t("button.save", { ns: "common" })}
+                  type="submit"
+                >
+                  {isLoading ? (
+                    <div className="flex flex-row items-center gap-2">
+                      <ActivityIndicator />
+                      <span>
+                        <Trans>button.saving</Trans>
+                      </span>
+                    </div>
+                  ) : (
+                    <Trans>button.save</Trans>
+                  )}
+                </Button>
+              </div>
+            </form>
+          </Form>
+        </div>
+      </div>
+    </>
+  );
+}
diff --git a/web/src/views/settings/CameraSettingsView.tsx b/web/src/views/settings/CameraSettingsView.tsx
deleted file mode 100644
index 7d0c7e4e1..000000000
--- a/web/src/views/settings/CameraSettingsView.tsx
+++ /dev/null
@@ -1,840 +0,0 @@
-import Heading from "@/components/ui/heading";
-import { useCallback, useContext, useEffect, useMemo, useState } from "react";
-import { Toaster, toast } from "sonner";
-import {
-  Form,
-  FormControl,
-  FormDescription,
-  FormField,
-  FormItem,
-  FormLabel,
-  FormMessage,
-} from "@/components/ui/form";
-import { zodResolver } from "@hookform/resolvers/zod";
-import { useForm } from "react-hook-form";
-import { z } from "zod";
-import { Separator } from "@/components/ui/separator";
-import { Button } from "@/components/ui/button";
-import useSWR from "swr";
-import { FrigateConfig } from "@/types/frigateConfig";
-import { Checkbox } from "@/components/ui/checkbox";
-import ActivityIndicator from "@/components/indicators/activity-indicator";
-import { StatusBarMessagesContext } from "@/context/statusbar-provider";
-import axios from "axios";
-import { Link } from "react-router-dom";
-import { LuExternalLink } from "react-icons/lu";
-import { capitalizeFirstLetter } from "@/utils/stringUtil";
-import { MdCircle } from "react-icons/md";
-import { cn } from "@/lib/utils";
-import { Trans, useTranslation } from "react-i18next";
-import { Switch } from "@/components/ui/switch";
-import { Label } from "@/components/ui/label";
-import { useDocDomain } from "@/hooks/use-doc-domain";
-import { getTranslatedLabel } from "@/utils/i18n";
-import {
-  useAlertsState,
-  useDetectionsState,
-  useEnabledState,
-  useObjectDescriptionState,
-  useReviewDescriptionState,
-} from "@/api/ws";
-import CameraEditForm from "@/components/settings/CameraEditForm";
-import { LuPlus } from "react-icons/lu";
-import {
-  Select,
-  SelectContent,
-  SelectItem,
-  SelectTrigger,
-  SelectValue,
-} from "@/components/ui/select";
-import { IoMdArrowRoundBack } from "react-icons/io";
-import { isDesktop } from "react-device-detect";
-import { useCameraFriendlyName } from "@/hooks/use-camera-friendly-name";
-import { CameraNameLabel } from "@/components/camera/CameraNameLabel";
-
-type CameraSettingsViewProps = {
-  selectedCamera: string;
-  setUnsavedChanges: React.Dispatch<React.SetStateAction<boolean>>;
-};
-
-type CameraReviewSettingsValueType = {
-  alerts_zones: string[];
-  detections_zones: string[];
-};
-
-export default function CameraSettingsView({
-  selectedCamera,
-  setUnsavedChanges,
-}: CameraSettingsViewProps) {
-  const { t } = useTranslation(["views/settings"]);
-  const { getLocaleDocUrl } = useDocDomain();
-
-  const { data: config, mutate: updateConfig } =
-    useSWR<FrigateConfig>("config");
-
-  const cameraConfig = useMemo(() => {
-    if (config && selectedCamera) {
-      return config.cameras[selectedCamera];
-    }
-  }, [config, selectedCamera]);
-
-  const [changedValue, setChangedValue] = useState(false);
-  const [isLoading, setIsLoading] = useState(false);
-  const [selectDetections, setSelectDetections] = useState(false);
-  const [viewMode, setViewMode] = useState<"settings" | "add" | "edit">(
-    "settings",
-  ); // Control view state
-  const [editCameraName, setEditCameraName] = useState<string | undefined>(
-    undefined,
-  ); // Track camera being edited
-
-  const { addMessage, removeMessage } = useContext(StatusBarMessagesContext)!;
-
-  // List of cameras for dropdown
-  const cameras = useMemo(() => {
-    if (config) {
-      return Object.keys(config.cameras).sort();
-    }
-    return [];
-  }, [config]);
-
-  const selectCameraName = useCameraFriendlyName(selectedCamera);
-
-  // zones and labels
-
-  const zones = useMemo(() => {
-    if (cameraConfig) {
-      return Object.entries(cameraConfig.zones).map(([name, zoneData]) => ({
-        camera: cameraConfig.name,
-        name,
-        objects: zoneData.objects,
-        color: zoneData.color,
-      }));
-    }
-  }, [cameraConfig]);
-
-  const alertsLabels = useMemo(() => {
-    return cameraConfig?.review.alerts.labels
-      ? cameraConfig.review.alerts.labels
-          .map((label) => getTranslatedLabel(label))
-          .join(", ")
-      : "";
-  }, [cameraConfig]);
-
-  const detectionsLabels = useMemo(() => {
-    return cameraConfig?.review.detections.labels
-      ? cameraConfig.review.detections.labels
-          .map((label) => getTranslatedLabel(label))
-          .join(", ")
-      : "";
-  }, [cameraConfig]);
-
-  // form
-
-  const formSchema = z.object({
-    alerts_zones: z.array(z.string()),
-    detections_zones: z.array(z.string()),
-  });
-
-  const form = useForm<z.infer<typeof formSchema>>({
-    resolver: zodResolver(formSchema),
-    mode: "onChange",
-    defaultValues: {
-      alerts_zones: cameraConfig?.review.alerts.required_zones || [],
-      detections_zones: cameraConfig?.review.detections.required_zones || [],
-    },
-  });
-
-  const watchedAlertsZones = form.watch("alerts_zones");
-  const watchedDetectionsZones = form.watch("detections_zones");
-
-  const { payload: enabledState, send: sendEnabled } =
-    useEnabledState(selectedCamera);
-  const { payload: alertsState, send: sendAlerts } =
-    useAlertsState(selectedCamera);
-  const { payload: detectionsState, send: sendDetections } =
-    useDetectionsState(selectedCamera);
-
-  const { payload: objDescState, send: sendObjDesc } =
-    useObjectDescriptionState(selectedCamera);
-  const { payload: revDescState, send: sendRevDesc } =
-    useReviewDescriptionState(selectedCamera);
-
-  const handleCheckedChange = useCallback(
-    (isChecked: boolean) => {
-      if (!isChecked) {
-        form.reset({
-          alerts_zones: watchedAlertsZones,
-          detections_zones: [],
-        });
-      }
-      setChangedValue(true);
-      setSelectDetections(isChecked as boolean);
-    },
-    // we know that these deps are correct
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-    [watchedAlertsZones],
-  );
-
-  const saveToConfig = useCallback(
-    async (
-      { alerts_zones, detections_zones }: CameraReviewSettingsValueType, // values submitted via the form
-    ) => {
-      const createQuery = (zones: string[], type: "alerts" | "detections") =>
-        zones.length
-          ? zones
-              .map(
-                (zone) =>
-                  `&cameras.${selectedCamera}.review.${type}.required_zones=${zone}`,
-              )
-              .join("")
-          : cameraConfig?.review[type]?.required_zones &&
-              cameraConfig?.review[type]?.required_zones.length > 0
-            ? `&cameras.${selectedCamera}.review.${type}.required_zones`
-            : "";
-
-      const alertQueries = createQuery(alerts_zones, "alerts");
-      const detectionQueries = createQuery(detections_zones, "detections");
-
-      axios
-        .put(`config/set?${alertQueries}${detectionQueries}`, {
-          requires_restart: 0,
-        })
-        .then((res) => {
-          if (res.status === 200) {
-            toast.success(t("camera.reviewClassification.toast.success"), {
-              position: "top-center",
-            });
-            updateConfig();
-          } else {
-            toast.error(
-              t("toast.save.error.title", {
-                errorMessage: res.statusText,
-                ns: "common",
-              }),
-              {
-                position: "top-center",
-              },
-            );
-          }
-        })
-        .catch((error) => {
-          const errorMessage =
-            error.response?.data?.message ||
-            error.response?.data?.detail ||
-            "Unknown error";
-          toast.error(
-            t("toast.save.error.title", {
-              errorMessage,
-              ns: "common",
-            }),
-            {
-              position: "top-center",
-            },
-          );
-        })
-        .finally(() => {
-          setIsLoading(false);
-        });
-    },
-    [updateConfig, setIsLoading, selectedCamera, cameraConfig, t],
-  );
-
-  const onCancel = useCallback(() => {
-    if (!cameraConfig) {
-      return;
-    }
-
-    setChangedValue(false);
-    setUnsavedChanges(false);
-    removeMessage(
-      "camera_settings",
-      `review_classification_settings_${selectedCamera}`,
-    );
-    form.reset({
-      alerts_zones: cameraConfig?.review.alerts.required_zones ?? [],
-      detections_zones: cameraConfig?.review.detections.required_zones || [],
-    });
-    setSelectDetections(
-      !!cameraConfig?.review.detections.required_zones?.length,
-    );
-    // we know that these deps are correct
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [removeMessage, selectedCamera, setUnsavedChanges, cameraConfig]);
-
-  useEffect(() => {
-    onCancel();
-    // we know that these deps are correct
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [selectedCamera]);
-
-  useEffect(() => {
-    if (changedValue) {
-      addMessage(
-        "camera_settings",
-        t("camera.reviewClassification.unsavedChanges", {
-          camera: selectedCamera,
-        }),
-        undefined,
-        `review_classification_settings_${selectedCamera}`,
-      );
-    } else {
-      removeMessage(
-        "camera_settings",
-        `review_classification_settings_${selectedCamera}`,
-      );
-    }
-    // we know that these deps are correct
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [changedValue, selectedCamera]);
-
-  function onSubmit(values: z.infer<typeof formSchema>) {
-    setIsLoading(true);
-
-    saveToConfig(values as CameraReviewSettingsValueType);
-  }
-
-  useEffect(() => {
-    document.title = t("documentTitle.camera");
-  }, [t]);
-
-  // Handle back navigation from add/edit form
-  const handleBack = useCallback(() => {
-    setViewMode("settings");
-    setEditCameraName(undefined);
-    updateConfig();
-  }, [updateConfig]);
-
-  if (!cameraConfig && !selectedCamera && viewMode === "settings") {
-    return <ActivityIndicator />;
-  }
-
-  return (
-    <>
-      <div className="flex size-full flex-col md:flex-row">
-        <Toaster position="top-center" closeButton={true} />
-        <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto pb-2 md:order-none">
-          {viewMode === "settings" ? (
-            <>
-              <Heading as="h4" className="mb-2">
-                {t("camera.title")}
-              </Heading>
-              <div className="mb-4 flex flex-col gap-4">
-                <Button
-                  variant="select"
-                  onClick={() => setViewMode("add")}
-                  className="flex max-w-48 items-center gap-2"
-                >
-                  <LuPlus className="h-4 w-4" />
-                  {t("camera.addCamera")}
-                </Button>
-                {cameras.length > 0 && (
-                  <div className="flex items-center gap-2">
-                    <Label>{t("camera.editCamera")}</Label>
-                    <Select
-                      onValueChange={(value) => {
-                        setEditCameraName(value);
-                        setViewMode("edit");
-                      }}
-                    >
-                      <SelectTrigger className="w-[180px]">
-                        <SelectValue placeholder={t("camera.selectCamera")} />
-                      </SelectTrigger>
-                      <SelectContent>
-                        {cameras.map((camera) => {
-                          return (
-                            <SelectItem key={camera} value={camera}>
-                              <CameraNameLabel camera={camera} />
-                            </SelectItem>
-                          );
-                        })}
-                      </SelectContent>
-                    </Select>
-                  </div>
-                )}
-              </div>
-              <Separator className="my-2 flex bg-secondary" />
-
-              <Heading as="h4" className="my-2">
-                <Trans ns="views/settings">camera.streams.title</Trans>
-              </Heading>
-
-              <div className="flex flex-row items-center">
-                <Switch
-                  id="camera-enabled"
-                  className="mr-3"
-                  checked={enabledState === "ON"}
-                  onCheckedChange={(isChecked) => {
-                    sendEnabled(isChecked ? "ON" : "OFF");
-                  }}
-                />
-                <div className="space-y-0.5">
-                  <Label htmlFor="camera-enabled">
-                    <Trans>button.enabled</Trans>
-                  </Label>
-                </div>
-              </div>
-              <div className="mt-3 text-sm text-muted-foreground">
-                <Trans ns="views/settings">camera.streams.desc</Trans>
-              </div>
-              <Separator className="mb-2 mt-4 flex bg-secondary" />
-
-              <Heading as="h4" className="my-2">
-                <Trans ns="views/settings">camera.review.title</Trans>
-              </Heading>
-
-              <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 space-y-3 text-sm text-primary-variant">
-                <div className="flex flex-row items-center">
-                  <Switch
-                    id="alerts-enabled"
-                    className="mr-3"
-                    checked={alertsState == "ON"}
-                    onCheckedChange={(isChecked) => {
-                      sendAlerts(isChecked ? "ON" : "OFF");
-                    }}
-                  />
-                  <div className="space-y-0.5">
-                    <Label htmlFor="alerts-enabled">
-                      <Trans ns="views/settings">camera.review.alerts</Trans>
-                    </Label>
-                  </div>
-                </div>
-                <div className="flex flex-col">
-                  <div className="flex flex-row items-center">
-                    <Switch
-                      id="detections-enabled"
-                      className="mr-3"
-                      checked={detectionsState == "ON"}
-                      onCheckedChange={(isChecked) => {
-                        sendDetections(isChecked ? "ON" : "OFF");
-                      }}
-                    />
-                    <div className="space-y-0.5">
-                      <Label htmlFor="detections-enabled">
-                        <Trans ns="views/settings">
-                          camera.review.detections
-                        </Trans>
-                      </Label>
-                    </div>
-                  </div>
-                  <div className="mt-3 text-sm text-muted-foreground">
-                    <Trans ns="views/settings">camera.review.desc</Trans>
-                  </div>
-                </div>
-              </div>
-              {cameraConfig?.objects?.genai?.enabled_in_config && (
-                <>
-                  <Separator className="my-2 flex bg-secondary" />
-
-                  <Heading as="h4" className="my-2">
-                    <Trans ns="views/settings">
-                      camera.object_descriptions.title
-                    </Trans>
-                  </Heading>
-
-                  <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 space-y-3 text-sm text-primary-variant">
-                    <div className="flex flex-row items-center">
-                      <Switch
-                        id="alerts-enabled"
-                        className="mr-3"
-                        checked={objDescState == "ON"}
-                        onCheckedChange={(isChecked) => {
-                          sendObjDesc(isChecked ? "ON" : "OFF");
-                        }}
-                      />
-                      <div className="space-y-0.5">
-                        <Label htmlFor="genai-enabled">
-                          <Trans>button.enabled</Trans>
-                        </Label>
-                      </div>
-                    </div>
-                    <div className="mt-3 text-sm text-muted-foreground">
-                      <Trans ns="views/settings">
-                        camera.object_descriptions.desc
-                      </Trans>
-                    </div>
-                  </div>
-                </>
-              )}
-
-              {cameraConfig?.review?.genai?.enabled_in_config && (
-                <>
-                  <Separator className="my-2 flex bg-secondary" />
-
-                  <Heading as="h4" className="my-2">
-                    <Trans ns="views/settings">
-                      camera.review_descriptions.title
-                    </Trans>
-                  </Heading>
-
-                  <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 space-y-3 text-sm text-primary-variant">
-                    <div className="flex flex-row items-center">
-                      <Switch
-                        id="alerts-enabled"
-                        className="mr-3"
-                        checked={revDescState == "ON"}
-                        onCheckedChange={(isChecked) => {
-                          sendRevDesc(isChecked ? "ON" : "OFF");
-                        }}
-                      />
-                      <div className="space-y-0.5">
-                        <Label htmlFor="genai-enabled">
-                          <Trans>button.enabled</Trans>
-                        </Label>
-                      </div>
-                    </div>
-                    <div className="mt-3 text-sm text-muted-foreground">
-                      <Trans ns="views/settings">
-                        camera.review_descriptions.desc
-                      </Trans>
-                    </div>
-                  </div>
-                </>
-              )}
-
-              <Separator className="my-2 flex bg-secondary" />
-
-              <Heading as="h4" className="my-2">
-                <Trans ns="views/settings">
-                  camera.reviewClassification.title
-                </Trans>
-              </Heading>
-
-              <div className="max-w-6xl">
-                <div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 text-sm text-primary-variant">
-                  <p>
-                    <Trans ns="views/settings">
-                      camera.reviewClassification.desc
-                    </Trans>
-                  </p>
-                  <div className="flex items-center text-primary">
-                    <Link
-                      to={getLocaleDocUrl("configuration/review")}
-                      target="_blank"
-                      rel="noopener noreferrer"
-                      className="inline"
-                    >
-                      {t("readTheDocumentation", { ns: "common" })}
-                      <LuExternalLink className="ml-2 inline-flex size-3" />
-                    </Link>
-                  </div>
-                </div>
-              </div>
-
-              <Form {...form}>
-                <form
-                  onSubmit={form.handleSubmit(onSubmit)}
-                  className="mt-2 space-y-6"
-                >
-                  <div
-                    className={cn(
-                      "w-full max-w-5xl space-y-0",
-                      zones &&
-                        zones?.length > 0 &&
-                        "grid items-start gap-5 md:grid-cols-2",
-                    )}
-                  >
-                    <FormField
-                      control={form.control}
-                      name="alerts_zones"
-                      render={() => (
-                        <FormItem>
-                          {zones && zones?.length > 0 ? (
-                            <>
-                              <div className="mb-2">
-                                <FormLabel className="flex flex-row items-center text-base">
-                                  <Trans ns="views/settings">
-                                    camera.review.alerts
-                                  </Trans>
-                                  <MdCircle className="ml-3 size-2 text-severity_alert" />
-                                </FormLabel>
-                                <FormDescription>
-                                  <Trans ns="views/settings">
-                                    camera.reviewClassification.selectAlertsZones
-                                  </Trans>
-                                </FormDescription>
-                              </div>
-                              <div className="max-w-md rounded-lg bg-secondary p-4 md:max-w-full">
-                                {zones?.map((zone) => (
-                                  <FormField
-                                    key={zone.name}
-                                    control={form.control}
-                                    name="alerts_zones"
-                                    render={({ field }) => (
-                                      <FormItem
-                                        key={zone.name}
-                                        className="mb-3 flex flex-row items-center space-x-3 space-y-0 last:mb-0"
-                                      >
-                                        <FormControl>
-                                          <Checkbox
-                                            className="size-5 text-white accent-white data-[state=checked]:bg-selected data-[state=checked]:text-white"
-                                            checked={field.value?.includes(
-                                              zone.name,
-                                            )}
-                                            onCheckedChange={(checked) => {
-                                              setChangedValue(true);
-                                              return checked
-                                                ? field.onChange([
-                                                    ...field.value,
-                                                    zone.name,
-                                                  ])
-                                                : field.onChange(
-                                                    field.value?.filter(
-                                                      (value) =>
-                                                        value !== zone.name,
-                                                    ),
-                                                  );
-                                            }}
-                                          />
-                                        </FormControl>
-                                        <FormLabel className="font-normal smart-capitalize">
-                                          {zone.name.replaceAll("_", " ")}
-                                        </FormLabel>
-                                      </FormItem>
-                                    )}
-                                  />
-                                ))}
-                              </div>
-                            </>
-                          ) : (
-                            <div className="font-normal text-destructive">
-                              <Trans ns="views/settings">
-                                camera.reviewClassification.noDefinedZones
-                              </Trans>
-                            </div>
-                          )}
-                          <FormMessage />
-                          <div className="text-sm">
-                            {watchedAlertsZones && watchedAlertsZones.length > 0
-                              ? t(
-                                  "camera.reviewClassification.zoneObjectAlertsTips",
-                                  {
-                                    alertsLabels,
-                                    zone: watchedAlertsZones
-                                      .map((zone) =>
-                                        capitalizeFirstLetter(zone).replaceAll(
-                                          "_",
-                                          " ",
-                                        ),
-                                      )
-                                      .join(", "),
-                                    cameraName: selectCameraName,
-                                  },
-                                )
-                              : t(
-                                  "camera.reviewClassification.objectAlertsTips",
-                                  {
-                                    alertsLabels,
-                                    cameraName: selectCameraName,
-                                  },
-                                )}
-                          </div>
-                        </FormItem>
-                      )}
-                    />
-
-                    <FormField
-                      control={form.control}
-                      name="detections_zones"
-                      render={() => (
-                        <FormItem>
-                          {zones && zones?.length > 0 && (
-                            <>
-                              <div className="mb-2">
-                                <FormLabel className="flex flex-row items-center text-base">
-                                  <Trans ns="views/settings">
-                                    camera.review.detections
-                                  </Trans>
-                                  <MdCircle className="ml-3 size-2 text-severity_detection" />
-                                </FormLabel>
-                                {selectDetections && (
-                                  <FormDescription>
-                                    <Trans ns="views/settings">
-                                      camera.reviewClassification.selectDetectionsZones
-                                    </Trans>
-                                  </FormDescription>
-                                )}
-                              </div>
-
-                              {selectDetections && (
-                                <div className="max-w-md rounded-lg bg-secondary p-4 md:max-w-full">
-                                  {zones?.map((zone) => (
-                                    <FormField
-                                      key={zone.name}
-                                      control={form.control}
-                                      name="detections_zones"
-                                      render={({ field }) => (
-                                        <FormItem
-                                          key={zone.name}
-                                          className="mb-3 flex flex-row items-center space-x-3 space-y-0 last:mb-0"
-                                        >
-                                          <FormControl>
-                                            <Checkbox
-                                              className="size-5 text-white accent-white data-[state=checked]:bg-selected data-[state=checked]:text-white"
-                                              checked={field.value?.includes(
-                                                zone.name,
-                                              )}
-                                              onCheckedChange={(checked) => {
-                                                return checked
-                                                  ? field.onChange([
-                                                      ...field.value,
-                                                      zone.name,
-                                                    ])
-                                                  : field.onChange(
-                                                      field.value?.filter(
-                                                        (value) =>
-                                                          value !== zone.name,
-                                                      ),
-                                                    );
-                                              }}
-                                            />
-                                          </FormControl>
-                                          <FormLabel className="font-normal smart-capitalize">
-                                            {zone.name.replaceAll("_", " ")}
-                                          </FormLabel>
-                                        </FormItem>
-                                      )}
-                                    />
-                                  ))}
-                                </div>
-                              )}
-                              <FormMessage />
-
-                              <div className="mb-0 flex flex-row items-center gap-2">
-                                <Checkbox
-                                  id="select-detections"
-                                  className="size-5 text-white accent-white data-[state=checked]:bg-selected data-[state=checked]:text-white"
-                                  checked={selectDetections}
-                                  onCheckedChange={handleCheckedChange}
-                                />
-                                <div className="grid gap-1.5 leading-none">
-                                  <label
-                                    htmlFor="select-detections"
-                                    className="text-sm font-medium leading-none peer-disabled:cursor-not-allowed peer-disabled:opacity-70"
-                                  >
-                                    <Trans ns="views/settings">
-                                      camera.reviewClassification.limitDetections
-                                    </Trans>
-                                  </label>
-                                </div>
-                              </div>
-                            </>
-                          )}
-
-                          <div className="text-sm">
-                            {watchedDetectionsZones &&
-                            watchedDetectionsZones.length > 0 ? (
-                              !selectDetections ? (
-                                <Trans
-                                  i18nKey="camera.reviewClassification.zoneObjectDetectionsTips.text"
-                                  values={{
-                                    detectionsLabels,
-                                    zone: watchedDetectionsZones
-                                      .map((zone) =>
-                                        capitalizeFirstLetter(zone).replaceAll(
-                                          "_",
-                                          " ",
-                                        ),
-                                      )
-                                      .join(", "),
-                                    cameraName: selectCameraName,
-                                  }}
-                                  ns="views/settings"
-                                />
-                              ) : (
-                                <Trans
-                                  i18nKey="camera.reviewClassification.zoneObjectDetectionsTips.notSelectDetections"
-                                  values={{
-                                    detectionsLabels,
-                                    zone: watchedDetectionsZones
-                                      .map((zone) =>
-                                        capitalizeFirstLetter(zone).replaceAll(
-                                          "_",
-                                          " ",
-                                        ),
-                                      )
-                                      .join(", "),
-                                    cameraName: selectCameraName,
-                                  }}
-                                  ns="views/settings"
-                                />
-                              )
-                            ) : (
-                              <Trans
-                                i18nKey="camera.reviewClassification.objectDetectionsTips"
-                                values={{
-                                  detectionsLabels,
-                                  cameraName: selectCameraName,
-                                }}
-                                ns="views/settings"
-                              />
-                            )}
-                          </div>
-                        </FormItem>
-                      )}
-                    />
-                  </div>
-                  <Separator className="my-2 flex bg-secondary" />
-
-                  <div className="flex w-full flex-row items-center gap-2 pt-2 md:w-[25%]">
-                    <Button
-                      className="flex flex-1"
-                      aria-label={t("button.cancel", { ns: "common" })}
-                      onClick={onCancel}
-                      type="button"
-                    >
-                      <Trans>button.cancel</Trans>
-                    </Button>
-                    <Button
-                      variant="select"
-                      disabled={isLoading}
-                      className="flex flex-1"
-                      aria-label={t("button.save", { ns: "common" })}
-                      type="submit"
-                    >
-                      {isLoading ? (
-                        <div className="flex flex-row items-center gap-2">
-                          <ActivityIndicator />
-                          <span>
-                            <Trans>button.saving</Trans>
-                          </span>
-                        </div>
-                      ) : (
-                        <Trans>button.save</Trans>
-                      )}
-                    </Button>
-                  </div>
-                </form>
-              </Form>
-            </>
-          ) : (
-            <>
-              <div className="mb-4 flex items-center gap-2">
-                <Button
-                  className={`flex items-center gap-2.5 rounded-lg`}
-                  aria-label={t("label.back", { ns: "common" })}
-                  size="sm"
-                  onClick={handleBack}
-                >
-                  <IoMdArrowRoundBack className="size-5 text-secondary-foreground" />
-                  {isDesktop && (
-                    <div className="text-primary">
-                      {t("button.back", { ns: "common" })}
-                    </div>
-                  )}
-                </Button>
-              </div>
-              <div className="md:max-w-5xl">
-                <CameraEditForm
-                  cameraName={viewMode === "edit" ? editCameraName : undefined}
-                  onSave={handleBack}
-                  onCancel={handleBack}
-                />
-              </div>
-            </>
-          )}
-        </div>
-      </div>
-    </>
-  );
-}
diff --git a/web/src/views/settings/EnrichmentsSettingsView.tsx b/web/src/views/settings/EnrichmentsSettingsView.tsx
index e3b0626b9..6aba50dd3 100644
--- a/web/src/views/settings/EnrichmentsSettingsView.tsx
+++ b/web/src/views/settings/EnrichmentsSettingsView.tsx
@@ -244,7 +244,7 @@ export default function EnrichmentsSettingsView({
   return (
     <div className="flex size-full flex-col md:flex-row">
       <Toaster position="top-center" closeButton={true} />
-      <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto pb-2 md:order-none">
+      <div className="scrollbar-container order-last mb-2 mt-2 flex h-full w-full flex-col overflow-y-auto pb-2 md:order-none">
         <Heading as="h4" className="mb-2">
           {t("enrichments.title")}
         </Heading>
diff --git a/web/src/views/settings/FrigatePlusSettingsView.tsx b/web/src/views/settings/FrigatePlusSettingsView.tsx
index 20e248070..ba578bdc3 100644
--- a/web/src/views/settings/FrigatePlusSettingsView.tsx
+++ b/web/src/views/settings/FrigatePlusSettingsView.tsx
@@ -1,7 +1,7 @@
 import Heading from "@/components/ui/heading";
 import { Label } from "@/components/ui/label";
 import { useCallback, useContext, useEffect, useState } from "react";
-import { Toaster } from "sonner";
+import { Toaster } from "@/components/ui/sonner";
 import { Separator } from "../../components/ui/separator";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import { toast } from "sonner";
@@ -23,7 +23,7 @@ import {
   SelectTrigger,
 } from "@/components/ui/select";
 import { useDocDomain } from "@/hooks/use-doc-domain";
-import { CameraNameLabel } from "@/components/camera/CameraNameLabel";
+import { CameraNameLabel } from "@/components/camera/FriendlyNameLabel";
 
 type FrigatePlusModel = {
   id: string;
@@ -211,7 +211,7 @@ export default function FrigatePlusSettingsView({
     <>
       <div className="flex size-full flex-col md:flex-row">
         <Toaster position="top-center" closeButton={true} />
-        <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto pb-2 md:order-none">
+        <div className="scrollbar-container order-last mb-2 mt-2 flex h-full w-full flex-col overflow-y-auto pb-2 md:order-none">
           <Heading as="h4" className="mb-2">
             {t("frigatePlus.title")}
           </Heading>
diff --git a/web/src/views/settings/MasksAndZonesView.tsx b/web/src/views/settings/MasksAndZonesView.tsx
index 956ce3f95..833d3887a 100644
--- a/web/src/views/settings/MasksAndZonesView.tsx
+++ b/web/src/views/settings/MasksAndZonesView.tsx
@@ -35,6 +35,7 @@ import { useTranslation } from "react-i18next";
 
 import { useDocDomain } from "@/hooks/use-doc-domain";
 import { getTranslatedLabel } from "@/utils/i18n";
+import { cn } from "@/lib/utils";
 
 type MasksAndZoneViewProps = {
   selectedCamera: string;
@@ -229,6 +230,7 @@ export default function MasksAndZonesView({
           typeIndex: index,
           camera: cameraConfig.name,
           name,
+          friendly_name: zoneData.friendly_name,
           objects: zoneData.objects,
           points: interpolatePoints(
             parseCoordinates(zoneData.coordinates),
@@ -433,7 +435,7 @@ export default function MasksAndZonesView({
       {cameraConfig && editingPolygons && (
         <div className="flex size-full flex-col md:flex-row">
           <Toaster position="top-center" closeButton={true} />
-          <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mr-3 md:mt-0 md:w-3/12">
+          <div className="scrollbar-container order-last mb-2 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mr-3 md:mt-0 md:w-3/12">
             {editPane == "zone" && (
               <ZoneEditPane
                 polygons={editingPolygons}
@@ -696,7 +698,10 @@ export default function MasksAndZonesView({
           </div>
           <div
             ref={containerRef}
-            className="flex max-h-[50%] md:mr-3 md:h-dvh md:max-h-full md:w-7/12 md:grow"
+            className={cn(
+              "flex max-h-[50%] md:h-dvh md:max-h-full md:w-7/12 md:grow",
+              isDesktop && "md:mr-3",
+            )}
           >
             <div className="mx-auto flex size-full flex-row justify-center">
               {cameraConfig &&
diff --git a/web/src/views/settings/MotionTunerView.tsx b/web/src/views/settings/MotionTunerView.tsx
index 34aaac22f..25d5f1469 100644
--- a/web/src/views/settings/MotionTunerView.tsx
+++ b/web/src/views/settings/MotionTunerView.tsx
@@ -4,7 +4,7 @@ import useSWR from "swr";
 import axios from "axios";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import AutoUpdatingCameraImage from "@/components/camera/AutoUpdatingCameraImage";
-import { useCallback, useContext, useEffect, useMemo, useState } from "react";
+import { useCallback, useEffect, useMemo, useState } from "react";
 import { Slider } from "@/components/ui/slider";
 import { Label } from "@/components/ui/label";
 import {
@@ -20,9 +20,10 @@ import { toast } from "sonner";
 import { Separator } from "@/components/ui/separator";
 import { Link } from "react-router-dom";
 import { LuExternalLink } from "react-icons/lu";
-import { StatusBarMessagesContext } from "@/context/statusbar-provider";
 import { Trans, useTranslation } from "react-i18next";
 import { useDocDomain } from "@/hooks/use-doc-domain";
+import { cn } from "@/lib/utils";
+import { isDesktop } from "react-device-detect";
 
 type MotionTunerViewProps = {
   selectedCamera: string;
@@ -46,8 +47,6 @@ export default function MotionTunerView({
   const [changedValue, setChangedValue] = useState(false);
   const [isLoading, setIsLoading] = useState(false);
 
-  const { addMessage, removeMessage } = useContext(StatusBarMessagesContext)!;
-
   const { send: sendMotionThreshold } = useMotionThreshold(selectedCamera);
   const { send: sendMotionContourArea } = useMotionContourArea(selectedCamera);
   const { send: sendImproveContrast } = useImproveContrast(selectedCamera);
@@ -117,7 +116,10 @@ export default function MotionTunerView({
     axios
       .put(
         `config/set?cameras.${selectedCamera}.motion.threshold=${motionSettings.threshold}&cameras.${selectedCamera}.motion.contour_area=${motionSettings.contour_area}&cameras.${selectedCamera}.motion.improve_contrast=${motionSettings.improve_contrast ? "True" : "False"}`,
-        { requires_restart: 0 },
+        {
+          requires_restart: 0,
+          update_topic: `config/cameras/${selectedCamera}/motion`,
+        },
       )
       .then((res) => {
         if (res.status === 200) {
@@ -162,23 +164,7 @@ export default function MotionTunerView({
   const onCancel = useCallback(() => {
     setMotionSettings(origMotionSettings);
     setChangedValue(false);
-    removeMessage("motion_tuner", `motion_tuner_${selectedCamera}`);
-  }, [origMotionSettings, removeMessage, selectedCamera]);
-
-  useEffect(() => {
-    if (changedValue) {
-      addMessage(
-        "motion_tuner",
-        t("motionDetectionTuner.unsavedChanges", { camera: selectedCamera }),
-        undefined,
-        `motion_tuner_${selectedCamera}`,
-      );
-    } else {
-      removeMessage("motion_tuner", `motion_tuner_${selectedCamera}`);
-    }
-    // we know that these deps are correct
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [changedValue, selectedCamera]);
+  }, [origMotionSettings]);
 
   useEffect(() => {
     document.title = t("documentTitle.motionTuner");
@@ -191,7 +177,7 @@ export default function MotionTunerView({
   return (
     <div className="flex size-full flex-col md:flex-row">
       <Toaster position="top-center" closeButton={true} />
-      <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mr-3 md:mt-0 md:w-3/12">
+      <div className="scrollbar-container order-last mb-2 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mr-3 md:mt-0 md:w-3/12">
         <Heading as="h4" className="mb-2">
           {t("motionDetectionTuner.title")}
         </Heading>
@@ -325,7 +311,12 @@ export default function MotionTunerView({
       </div>
 
       {cameraConfig ? (
-        <div className="flex max-h-[70%] md:mr-3 md:h-dvh md:max-h-full md:w-7/12 md:grow">
+        <div
+          className={cn(
+            "flex max-h-[70%] md:h-dvh md:max-h-full md:w-7/12 md:grow",
+            isDesktop && "md:mr-3",
+          )}
+        >
           <div className="size-full min-h-10">
             <AutoUpdatingCameraImage
               camera={cameraConfig.name}
diff --git a/web/src/views/settings/NotificationsSettingsView.tsx b/web/src/views/settings/NotificationsSettingsView.tsx
index b3a049418..77da16386 100644
--- a/web/src/views/settings/NotificationsSettingsView.tsx
+++ b/web/src/views/settings/NotificationsSettingsView.tsx
@@ -45,7 +45,7 @@ import { Alert, AlertDescription, AlertTitle } from "@/components/ui/alert";
 import { Trans, useTranslation } from "react-i18next";
 import { useDateLocale } from "@/hooks/use-date-locale";
 import { useDocDomain } from "@/hooks/use-doc-domain";
-import { CameraNameLabel } from "@/components/camera/CameraNameLabel";
+import { CameraNameLabel } from "@/components/camera/FriendlyNameLabel";
 import { useIsAdmin } from "@/hooks/use-is-admin";
 import { cn } from "@/lib/utils";
 
@@ -331,7 +331,7 @@ export default function NotificationView({
 
   if (!("Notification" in window) || !window.isSecureContext) {
     return (
-      <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto pb-2 md:order-none">
+      <div className="scrollbar-container order-last mb-2 mt-2 flex h-full w-full flex-col overflow-y-auto pb-2 md:order-none">
         <div className="grid w-full grid-cols-1 gap-4 md:grid-cols-2">
           <div className="col-span-1">
             <Heading as="h4" className="mb-2">
@@ -385,7 +385,7 @@ export default function NotificationView({
     <>
       <div className="flex size-full flex-col md:flex-row">
         <Toaster position="top-center" closeButton={true} />
-        <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto px-2 md:order-none">
+        <div className="scrollbar-container order-last mb-2 mt-2 flex h-full w-full flex-col overflow-y-auto px-2 md:order-none">
           <div
             className={cn(
               isAdmin && "grid w-full grid-cols-1 gap-4 md:grid-cols-2",
@@ -476,7 +476,7 @@ export default function NotificationView({
                                   <FilterSwitch
                                     key={camera.name}
                                     label={camera.name}
-                                    isCameraName={true}
+                                    type={"camera"}
                                     isChecked={field.value?.includes(
                                       camera.name,
                                     )}
diff --git a/web/src/views/settings/ObjectSettingsView.tsx b/web/src/views/settings/ObjectSettingsView.tsx
index c326b0558..2f4ec5eaf 100644
--- a/web/src/views/settings/ObjectSettingsView.tsx
+++ b/web/src/views/settings/ObjectSettingsView.tsx
@@ -7,7 +7,7 @@ import { Label } from "@/components/ui/label";
 import useSWR from "swr";
 import Heading from "@/components/ui/heading";
 import { Switch } from "@/components/ui/switch";
-import { usePersistence } from "@/hooks/use-persistence";
+import { useUserPersistence } from "@/hooks/use-user-persistence";
 import { Skeleton } from "@/components/ui/skeleton";
 import { useCameraActivity } from "@/hooks/use-camera-activity";
 import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs";
@@ -104,7 +104,7 @@ export default function ObjectSettingsView({
     },
   ];
 
-  const [options, setOptions, optionsLoaded] = usePersistence<Options>(
+  const [options, setOptions, optionsLoaded] = useUserPersistence<Options>(
     `${selectedCamera}-feed`,
     emptyObject,
   );
@@ -162,9 +162,9 @@ export default function ObjectSettingsView({
   }
 
   return (
-    <div className="mt-1 flex size-full flex-col md:flex-row">
+    <div className="mt-1 flex size-full flex-col pb-2 md:flex-row">
       <Toaster position="top-center" closeButton={true} />
-      <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mb-0 md:mr-2 md:mt-0 md:w-3/12">
+      <div className="scrollbar-container order-last mb-2 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mb-0 md:mr-2 md:mt-0 md:w-3/12">
         <Heading as="h4" className="mb-2">
           {t("debug.title")}
         </Heading>
@@ -252,6 +252,10 @@ export default function ObjectSettingsView({
                         className="ml-1"
                         id={param}
                         checked={options && options[param]}
+                        disabled={
+                          param === "paths" &&
+                          cameraConfig?.onvif?.autotracking?.enabled_in_config
+                        }
                         onCheckedChange={(isChecked) => {
                           handleSetOption(param, isChecked);
                         }}
@@ -387,7 +391,7 @@ function ObjectList({ cameraConfig, objects }: ObjectListProps) {
   );
 
   return (
-    <div className="scrollbar-container flex w-full flex-col overflow-y-auto">
+    <div className="scrollbar-container relative flex w-full flex-col overflow-y-auto">
       {objects && objects.length > 0 ? (
         objects.map((obj: ObjectType) => {
           return (
@@ -402,7 +406,7 @@ function ObjectList({ cameraConfig, objects }: ObjectListProps) {
                         : getColorForObjectName(obj.label),
                     }}
                   >
-                    {getIconForLabel(obj.label, "size-5 text-white")}
+                    {getIconForLabel(obj.label, "object", "size-5 text-white")}
                   </div>
                   <div className="ml-3 text-lg">
                     {getTranslatedLabel(obj.label)}
@@ -434,7 +438,7 @@ function ObjectList({ cameraConfig, objects }: ObjectListProps) {
                         {t("debug.objectShapeFilterDrawing.area")}
                       </p>
                       {obj.area ? (
-                        <>
+                        <div className="text-end">
                           <div className="text-xs">
                             px: {obj.area.toString()}
                           </div>
@@ -448,7 +452,7 @@ function ObjectList({ cameraConfig, objects }: ObjectListProps) {
                               .toFixed(4)
                               .toString()}
                           </div>
-                        </>
+                        </div>
                       ) : (
                         "-"
                       )}
@@ -490,7 +494,7 @@ function AudioList({ cameraConfig, audioDetections }: AudioListProps) {
             <div className="flex flex-row items-center gap-3 pb-1">
               <div className="flex flex-1 flex-row items-center justify-start p-3 pl-1">
                 <div className="rounded-lg bg-selected p-2">
-                  {getIconForLabel(key, "size-5 text-white")}
+                  {getIconForLabel(key, "audio", "size-5 text-white")}
                 </div>
                 <div className="ml-3 text-lg">{getTranslatedLabel(key)}</div>
               </div>
diff --git a/web/src/views/settings/TriggerView.tsx b/web/src/views/settings/TriggerView.tsx
index 40a4f87a1..5d2e03b4c 100644
--- a/web/src/views/settings/TriggerView.tsx
+++ b/web/src/views/settings/TriggerView.tsx
@@ -1,6 +1,7 @@
 import { useCallback, useEffect, useMemo, useState } from "react";
 import { Trans, useTranslation } from "react-i18next";
-import { Toaster, toast } from "sonner";
+import { toast } from "sonner";
+import { Toaster } from "@/components/ui/sonner";
 import useSWR from "swr";
 import axios from "axios";
 import { Button } from "@/components/ui/button";
@@ -13,14 +14,24 @@ import {
   TooltipProvider,
   TooltipTrigger,
 } from "@/components/ui/tooltip";
+import {
+  Table,
+  TableBody,
+  TableCell,
+  TableHead,
+  TableHeader,
+  TableRow,
+} from "@/components/ui/table";
 import {
   LuPlus,
   LuTrash,
   LuPencil,
   LuSearch,
   LuExternalLink,
+  LuCircle,
 } from "react-icons/lu";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
+import TriggerWizardDialog from "@/components/trigger/TriggerWizardDialog";
 import CreateTriggerDialog from "@/components/overlay/CreateTriggerDialog";
 import DeleteTriggerDialog from "@/components/overlay/DeleteTriggerDialog";
 import { FrigateConfig } from "@/types/frigateConfig";
@@ -33,6 +44,7 @@ import { useTriggers } from "@/api/ws";
 import { useCameraFriendlyName } from "@/hooks/use-camera-friendly-name";
 import { CiCircleAlert } from "react-icons/ci";
 import { useDocDomain } from "@/hooks/use-doc-domain";
+import { isDesktop } from "react-device-detect";
 
 type ConfigSetBody = {
   requires_restart: number;
@@ -90,7 +102,7 @@ export default function TriggerView({
   const [showCreate, setShowCreate] = useState(false);
   const [showDelete, setShowDelete] = useState(false);
   const [selectedTrigger, setSelectedTrigger] = useState<Trigger | null>(null);
-  const [triggeredTrigger, setTriggeredTrigger] = useState<string>();
+  const [triggeredTrigger, setTriggeredTrigger] = useState<string[]>([]);
   const [isLoading, setIsLoading] = useState(false);
 
   const cameraName = useCameraFriendlyName(selectedCamera);
@@ -127,28 +139,22 @@ export default function TriggerView({
 
     mutate();
 
-    setTriggeredTrigger(triggers_status_ws.name);
-    const target = document.querySelector(
-      `#trigger-${triggers_status_ws.name}`,
-    );
-    if (target) {
-      target.scrollIntoView({
-        block: "center",
-        behavior: "smooth",
-        inline: "nearest",
-      });
-      const ring = target.querySelector(".trigger-ring");
-      if (ring) {
-        ring.classList.add(`outline-selected`);
-        ring.classList.remove("outline-transparent");
-
-        const timeout = setTimeout(() => {
-          ring.classList.remove(`outline-selected`);
-          ring.classList.add("outline-transparent");
-        }, 3000);
-        return () => clearTimeout(timeout);
+    setTriggeredTrigger((prev) => {
+      const current = prev || [];
+      if (!current.includes(triggers_status_ws.name)) {
+        const newTriggers = [...current, triggers_status_ws.name];
+        return newTriggers;
       }
-    }
+      return current;
+    });
+
+    const timeout = setTimeout(() => {
+      setTriggeredTrigger((prev) =>
+        (prev || []).filter((name) => name !== triggers_status_ws.name),
+      );
+    }, 3000);
+
+    return () => clearTimeout(timeout);
   }, [triggers_status_ws, selectedCamera, mutate]);
 
   useEffect(() => {
@@ -194,15 +200,20 @@ export default function TriggerView({
 
             return axios
               .put("config/set", configBody)
-              .then((configResponse) => {
+              .then(async (configResponse) => {
                 if (configResponse.status === 200) {
-                  updateConfig();
+                  await updateConfig();
+                  const displayName =
+                    friendly_name && friendly_name !== ""
+                      ? `${friendly_name} (${name})`
+                      : name;
+
                   toast.success(
                     t(
                       isEdit
                         ? "triggers.toast.success.updateTrigger"
                         : "triggers.toast.success.createTrigger",
-                      { name },
+                      { name: displayName },
                     ),
                     { position: "top-center" },
                   );
@@ -228,6 +239,7 @@ export default function TriggerView({
         .finally(() => {
           setIsLoading(false);
           setShowCreate(false);
+          setSelectedTrigger(null);
         });
     },
     [t, updateConfig, selectedCamera, setUnsavedChanges],
@@ -313,7 +325,6 @@ export default function TriggerView({
         // Regular update without rename
         saveToConfig(trigger, true);
       }
-      setSelectedTrigger(null);
     },
     [t, saveToConfig, selectedCamera, selectedTrigger, setUnsavedChanges],
   );
@@ -344,11 +355,22 @@ export default function TriggerView({
 
             return axios
               .put("config/set", configBody)
-              .then((configResponse) => {
+              .then(async (configResponse) => {
                 if (configResponse.status === 200) {
-                  updateConfig();
+                  await updateConfig();
+                  const friendly =
+                    config?.cameras?.[selectedCamera]?.semantic_search
+                      ?.triggers?.[name]?.friendly_name;
+
+                  const displayName =
+                    friendly && friendly !== ""
+                      ? `${friendly} (${name})`
+                      : name;
+
                   toast.success(
-                    t("triggers.toast.success.deleteTrigger", { name }),
+                    t("triggers.toast.success.deleteTrigger", {
+                      name: displayName,
+                    }),
                     {
                       position: "top-center",
                     },
@@ -377,7 +399,7 @@ export default function TriggerView({
           setIsLoading(false);
         });
     },
-    [t, updateConfig, selectedCamera, setUnsavedChanges],
+    [t, updateConfig, selectedCamera, setUnsavedChanges, config],
   );
 
   useEffect(() => {
@@ -386,6 +408,7 @@ export default function TriggerView({
       setShowCreate(false);
       setShowDelete(false);
       setUnsavedChanges(false);
+      setTriggeredTrigger([]);
     }
   }, [selectedCamera, setUnsavedChanges]);
 
@@ -398,7 +421,8 @@ export default function TriggerView({
     setShowCreate(true);
     setSelectedTrigger({
       enabled: true,
-      name: "",
+      name: eventId,
+      friendly_name: "",
       type: "thumbnail",
       data: eventId,
       threshold: 0.5,
@@ -418,7 +442,12 @@ export default function TriggerView({
   return (
     <div className="flex size-full flex-col md:flex-row">
       <Toaster position="top-center" closeButton={true} />
-      <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto pb-2 md:order-none md:mr-3 md:mt-0">
+      <div
+        className={cn(
+          "scrollbar-container order-last mb-2 mt-2 flex h-full w-full flex-col overflow-y-auto pb-2",
+          isDesktop && "order-none mr-3 mt-0",
+        )}
+      >
         {!isSemanticSearchEnabled ? (
           <div className="mb-5 flex flex-row items-center justify-between gap-2">
             <div className="flex flex-col items-start">
@@ -480,72 +509,69 @@ export default function TriggerView({
               </Button>
             </div>
             <div className="mb-6 flex flex-col gap-2 sm:flex-row sm:items-center sm:justify-between">
-              <div className="scrollbar-container flex-1 overflow-hidden rounded-lg border border-border bg-background_alt">
-                <div className="h-full overflow-auto p-0">
-                  {triggers.length === 0 ? (
-                    <div className="flex h-24 items-center justify-center">
-                      <p className="text-center text-muted-foreground">
-                        {t("triggers.table.noTriggers")}
-                      </p>
-                    </div>
-                  ) : (
-                    <div className="space-y-2">
-                      {triggers.map((trigger) => (
-                        <div
-                          key={trigger.name}
-                          id={`trigger-${trigger.name}`}
-                          className="relative flex items-center justify-between rounded-lg border border-border bg-background p-4 transition-all"
-                        >
-                          <div
-                            className={cn(
-                              "trigger-ring pointer-events-none absolute inset-0 z-10 size-full rounded-md outline outline-[3px] -outline-offset-[2.8px] duration-500",
-                              triggeredTrigger === trigger.name
-                                ? "shadow-selected outline-selected"
-                                : "outline-transparent duration-500",
-                            )}
-                          />
-                          <div className="min-w-0 flex-1">
-                            <h3
+              <div className="flex flex-1 flex-col gap-2 md:hidden">
+                {triggers.length === 0 ? (
+                  <div className="flex h-24 items-center justify-center rounded-lg border border-border bg-background_alt">
+                    <p className="text-center text-muted-foreground">
+                      {t("triggers.table.noTriggers")}
+                    </p>
+                  </div>
+                ) : (
+                  triggers.map((trigger) => (
+                    <div
+                      key={trigger.name}
+                      id={`trigger-${trigger.name}`}
+                      className="rounded-lg border border-border bg-background p-4"
+                    >
+                      <div className="flex items-start justify-between gap-3">
+                        <div className="flex items-start gap-3">
+                          <div className="mt-1">
+                            <LuCircle
                               className={cn(
-                                "truncate text-lg font-medium",
+                                "size-3 duration-500",
+                                triggeredTrigger.includes(trigger.name)
+                                  ? "fill-selected text-selected"
+                                  : "fill-muted text-muted dark:fill-secondary-highlight dark:text-secondary-highlight",
+                              )}
+                            />
+                          </div>
+                          <div className="flex-1">
+                            <div
+                              className={cn(
+                                "font-medium",
                                 !trigger.enabled && "opacity-60",
                               )}
                             >
                               {trigger.friendly_name || trigger.name}
-                            </h3>
-                            <div
-                              className={cn(
-                                "mt-1 flex flex-col gap-1 text-sm text-muted-foreground md:flex-row md:items-center md:gap-3",
-                                !trigger.enabled && "opacity-60",
-                              )}
-                            >
-                              <div>
-                                <Badge
-                                  variant={
-                                    trigger.type === "thumbnail"
-                                      ? "default"
-                                      : "outline"
-                                  }
-                                  className={
-                                    trigger.type === "thumbnail"
-                                      ? "bg-primary/20 text-primary hover:bg-primary/30"
-                                      : ""
-                                  }
-                                >
-                                  {t(`triggers.type.${trigger.type}`)}
-                                </Badge>
-                              </div>
-
+                            </div>
+                            <div className="mt-2 flex flex-col gap-2">
+                              <Badge
+                                variant={
+                                  trigger.type === "thumbnail"
+                                    ? "default"
+                                    : "outline"
+                                }
+                                className={cn(
+                                  "w-fit",
+                                  trigger.type === "thumbnail"
+                                    ? "bg-primary/20 text-primary hover:bg-primary/30"
+                                    : "",
+                                  !trigger.enabled && "opacity-60",
+                                )}
+                              >
+                                {t(`triggers.type.${trigger.type}`)}
+                              </Badge>
                               <Link
                                 to={`/explore?event_id=${trigger_status?.triggers[trigger.name]?.triggering_event_id || ""}`}
                                 className={cn(
-                                  "text-sm",
+                                  "flex items-center gap-1.5 text-xs text-muted-foreground",
                                   !trigger_status?.triggers[trigger.name]
                                     ?.triggering_event_id &&
                                     "pointer-events-none",
+                                  !trigger.enabled && "opacity-60",
                                 )}
                               >
-                                <div className="flex flex-row items-center">
+                                <span>
                                   {t("triggers.table.lastTriggered")}:{" "}
                                   {trigger_status &&
                                   trigger_status.triggers[trigger.name]
@@ -573,10 +599,174 @@ export default function TriggerView({
                                           date_style: "medium",
                                         },
                                       )
-                                    : "Never"}
+                                    : t("time.never", { ns: "common" })}
+                                </span>
+                                {trigger_status?.triggers[trigger.name]
+                                  ?.triggering_event_id && (
+                                  <LuSearch className="size-3" />
+                                )}
+                              </Link>
+                            </div>
+                          </div>
+                        </div>
+                        <TooltipProvider>
+                          <div className="flex items-center gap-1">
+                            <Tooltip>
+                              <TooltipTrigger asChild>
+                                <Button
+                                  size="sm"
+                                  variant="outline"
+                                  className="h-8 w-8 p-0"
+                                  onClick={() => {
+                                    setSelectedTrigger(trigger);
+                                    setShowCreate(true);
+                                  }}
+                                  disabled={isLoading}
+                                >
+                                  <LuPencil className="size-3.5" />
+                                </Button>
+                              </TooltipTrigger>
+                              <TooltipContent>
+                                <p>{t("triggers.table.edit")}</p>
+                              </TooltipContent>
+                            </Tooltip>
+                            <Tooltip>
+                              <TooltipTrigger asChild>
+                                <Button
+                                  size="sm"
+                                  variant="destructive"
+                                  className="h-8 w-8 p-0"
+                                  onClick={() => {
+                                    setSelectedTrigger(trigger);
+                                    setShowDelete(true);
+                                  }}
+                                  disabled={isLoading}
+                                >
+                                  <LuTrash className="size-3.5" />
+                                </Button>
+                              </TooltipTrigger>
+                              <TooltipContent>
+                                <p>{t("triggers.table.deleteTrigger")}</p>
+                              </TooltipContent>
+                            </Tooltip>
+                          </div>
+                        </TooltipProvider>
+                      </div>
+                    </div>
+                  ))
+                )}
+              </div>
+
+              {/* Desktop Table View */}
+              <div className="scrollbar-container hidden flex-1 overflow-hidden rounded-lg border border-border bg-background_alt md:block">
+                <div className="h-full overflow-auto">
+                  <Table>
+                    <TableHeader className="sticky top-0 bg-muted/50">
+                      <TableRow>
+                        <TableHead className="w-4"></TableHead>
+                        <TableHead>{t("triggers.table.name")}</TableHead>
+                        <TableHead>{t("triggers.table.type")}</TableHead>
+                        <TableHead>
+                          {t("triggers.table.lastTriggered")}
+                        </TableHead>
+                        <TableHead className="text-right">
+                          {t("triggers.table.actions")}
+                        </TableHead>
+                      </TableRow>
+                    </TableHeader>
+                    <TableBody>
+                      {triggers.length === 0 ? (
+                        <TableRow>
+                          <TableCell colSpan={5} className="h-24 text-center">
+                            {t("triggers.table.noTriggers")}
+                          </TableCell>
+                        </TableRow>
+                      ) : (
+                        triggers.map((trigger) => (
+                          <TableRow
+                            key={trigger.name}
+                            id={`trigger-${trigger.name}`}
+                            className="group"
+                          >
+                            <TableCell>
+                              <LuCircle
+                                className={cn(
+                                  "size-3 duration-500",
+                                  triggeredTrigger.includes(trigger.name)
+                                    ? "fill-selected text-selected"
+                                    : "fill-muted text-muted dark:fill-secondary-highlight dark:text-secondary-highlight",
+                                )}
+                              />
+                            </TableCell>
+                            <TableCell className="font-medium">
+                              <div
+                                className={cn(!trigger.enabled && "opacity-60")}
+                              >
+                                {trigger.friendly_name || trigger.name}
+                              </div>
+                            </TableCell>
+                            <TableCell>
+                              <Badge
+                                variant={
+                                  trigger.type === "thumbnail"
+                                    ? "default"
+                                    : "outline"
+                                }
+                                className={cn(
+                                  trigger.type === "thumbnail"
+                                    ? "bg-primary/20 text-primary hover:bg-primary/30"
+                                    : "",
+                                  !trigger.enabled && "opacity-60",
+                                )}
+                              >
+                                {t(`triggers.type.${trigger.type}`)}
+                              </Badge>
+                            </TableCell>
+                            <TableCell>
+                              <Link
+                                to={`/explore?event_id=${trigger_status?.triggers[trigger.name]?.triggering_event_id || ""}`}
+                                className={cn(
+                                  "flex items-center gap-1.5 text-sm",
+                                  !trigger_status?.triggers[trigger.name]
+                                    ?.triggering_event_id &&
+                                    "pointer-events-none",
+                                  !trigger.enabled && "opacity-60",
+                                )}
+                              >
+                                <span>
+                                  {trigger_status &&
+                                  trigger_status.triggers[trigger.name]
+                                    ?.last_triggered
+                                    ? formatUnixTimestampToDateTime(
+                                        trigger_status.triggers[trigger.name]
+                                          ?.last_triggered,
+                                        {
+                                          timezone: config.ui.timezone,
+                                          date_format:
+                                            config.ui.time_format == "24hour"
+                                              ? t(
+                                                  "time.formattedTimestamp2.24hour",
+                                                  {
+                                                    ns: "common",
+                                                  },
+                                                )
+                                              : t(
+                                                  "time.formattedTimestamp2.12hour",
+                                                  {
+                                                    ns: "common",
+                                                  },
+                                                ),
+                                          time_style: "medium",
+                                          date_style: "medium",
+                                        },
+                                      )
+                                    : t("time.never", { ns: "common" })}
+                                </span>
+                                {trigger_status?.triggers[trigger.name]
+                                  ?.triggering_event_id && (
                                   <Tooltip>
                                     <TooltipTrigger>
-                                      <LuSearch className="ml-2 size-3.5" />
+                                      <LuSearch className="size-3.5" />
                                     </TooltipTrigger>
                                     <TooltipContent>
                                       {t("details.item.button.viewInExplore", {
@@ -584,65 +774,85 @@ export default function TriggerView({
                                       })}
                                     </TooltipContent>
                                   </Tooltip>
-                                </div>
+                                )}
                               </Link>
-                            </div>
-                          </div>
-
-                          <div className="flex items-center gap-2">
-                            <TooltipProvider>
-                              <Tooltip>
-                                <TooltipTrigger asChild>
-                                  <Button
-                                    size="sm"
-                                    variant="outline"
-                                    className="h-8 w-8 p-0"
-                                    onClick={() => {
-                                      setSelectedTrigger(trigger);
-                                      setShowCreate(true);
-                                    }}
-                                    disabled={isLoading}
-                                  >
-                                    <LuPencil className="size-3.5" />
-                                  </Button>
-                                </TooltipTrigger>
-                                <TooltipContent>
-                                  <p>{t("triggers.table.edit")}</p>
-                                </TooltipContent>
-                              </Tooltip>
-                              <Tooltip>
-                                <TooltipTrigger asChild>
-                                  <Button
-                                    size="sm"
-                                    variant="destructive"
-                                    className="h-8 w-8 p-0 text-white"
-                                    onClick={() => {
-                                      setSelectedTrigger(trigger);
-                                      setShowDelete(true);
-                                    }}
-                                    disabled={isLoading}
-                                  >
-                                    <LuTrash className="size-3.5" />
-                                  </Button>
-                                </TooltipTrigger>
-                                <TooltipContent>
-                                  <p>{t("triggers.table.deleteTrigger")}</p>
-                                </TooltipContent>
-                              </Tooltip>
-                            </TooltipProvider>
-                          </div>
-                        </div>
-                      ))}
-                    </div>
-                  )}
+                            </TableCell>
+                            <TableCell className="text-right">
+                              <TooltipProvider>
+                                <div className="flex items-center justify-end gap-2">
+                                  <Tooltip>
+                                    <TooltipTrigger asChild>
+                                      <Button
+                                        size="sm"
+                                        variant="outline"
+                                        className="h-8 px-2"
+                                        onClick={() => {
+                                          setSelectedTrigger(trigger);
+                                          setShowCreate(true);
+                                        }}
+                                        disabled={isLoading}
+                                      >
+                                        <LuPencil className="size-3.5" />
+                                        <span className="ml-1.5 hidden sm:inline-block">
+                                          {t("triggers.table.edit")}
+                                        </span>
+                                      </Button>
+                                    </TooltipTrigger>
+                                    <TooltipContent>
+                                      <p>{t("triggers.table.edit")}</p>
+                                    </TooltipContent>
+                                  </Tooltip>
+                                  <Tooltip>
+                                    <TooltipTrigger asChild>
+                                      <Button
+                                        size="sm"
+                                        variant="destructive"
+                                        className="h-8 px-2"
+                                        onClick={() => {
+                                          setSelectedTrigger(trigger);
+                                          setShowDelete(true);
+                                        }}
+                                        disabled={isLoading}
+                                      >
+                                        <LuTrash className="size-3.5" />
+                                        <span className="ml-1.5 hidden sm:inline-block">
+                                          {t("triggers.table.deleteTrigger")}
+                                        </span>
+                                      </Button>
+                                    </TooltipTrigger>
+                                    <TooltipContent>
+                                      <p>{t("triggers.table.deleteTrigger")}</p>
+                                    </TooltipContent>
+                                  </Tooltip>
+                                </div>
+                              </TooltipProvider>
+                            </TableCell>
+                          </TableRow>
+                        ))
+                      )}
+                    </TableBody>
+                  </Table>
                 </div>
               </div>
             </div>
           </>
         )}
       </div>
+      <TriggerWizardDialog
+        open={showCreate && (!selectedTrigger || selectedTrigger.name === "")}
+        onClose={() => {
+          setShowCreate(false);
+          setSelectedTrigger(null);
+          setUnsavedChanges(false);
+        }}
+        selectedCamera={selectedCamera}
+        trigger={null}
+        onCreate={onCreate}
+        onEdit={onEdit}
+        isLoading={isLoading}
+      />
       <CreateTriggerDialog
-        show={showCreate}
+        show={showCreate && !!selectedTrigger && selectedTrigger.name !== ""}
         trigger={selectedTrigger}
         selectedCamera={selectedCamera}
         isLoading={isLoading}
@@ -656,7 +866,14 @@ export default function TriggerView({
       />
       <DeleteTriggerDialog
         show={showDelete}
-        triggerName={selectedTrigger?.name ?? ""}
+        triggerName={
+          selectedTrigger
+            ? selectedTrigger.friendly_name &&
+              selectedTrigger.friendly_name !== ""
+              ? `${selectedTrigger.friendly_name} (${selectedTrigger.name})`
+              : selectedTrigger.name
+            : ""
+        }
         isLoading={isLoading}
         onCancel={() => {
           setShowDelete(false);
diff --git a/web/src/views/settings/UiSettingsView.tsx b/web/src/views/settings/UiSettingsView.tsx
index 432a989a7..44ed7818b 100644
--- a/web/src/views/settings/UiSettingsView.tsx
+++ b/web/src/views/settings/UiSettingsView.tsx
@@ -1,15 +1,17 @@
 import Heading from "@/components/ui/heading";
 import { Label } from "@/components/ui/label";
 import { Switch } from "@/components/ui/switch";
-import { useCallback, useEffect } from "react";
-import { Toaster } from "sonner";
+import { useCallback, useContext, useEffect } from "react";
+import { Toaster } from "@/components/ui/sonner";
 import { toast } from "sonner";
 import { Separator } from "../../components/ui/separator";
 import { Button } from "../../components/ui/button";
 import useSWR from "swr";
 import { FrigateConfig } from "@/types/frigateConfig";
-import { del as delData } from "idb-keyval";
-import { usePersistence } from "@/hooks/use-persistence";
+import {
+  useUserPersistence,
+  deleteUserNamespacedKey,
+} from "@/hooks/use-user-persistence";
 import { isSafari } from "react-device-detect";
 import {
   Select,
@@ -19,6 +21,7 @@ import {
   SelectTrigger,
 } from "../../components/ui/select";
 import { useTranslation } from "react-i18next";
+import { AuthContext } from "@/context/auth-context";
 
 const PLAYBACK_RATE_DEFAULT = isSafari ? [0.5, 1, 2] : [0.5, 1, 2, 4, 8, 16];
 const WEEK_STARTS_ON = ["Sunday", "Monday"];
@@ -26,13 +29,16 @@ const WEEK_STARTS_ON = ["Sunday", "Monday"];
 export default function UiSettingsView() {
   const { data: config } = useSWR<FrigateConfig>("config");
   const { t } = useTranslation("views/settings");
+  const { auth } = useContext(AuthContext);
+  const username = auth?.user?.username;
+
   const clearStoredLayouts = useCallback(() => {
     if (!config) {
       return [];
     }
 
     Object.entries(config.camera_groups).forEach(async (value) => {
-      await delData(`${value[0]}-draggable-layout`)
+      await deleteUserNamespacedKey(`${value[0]}-draggable-layout`, username)
         .then(() => {
           toast.success(
             t("general.toast.success.clearStoredLayout", {
@@ -56,14 +62,14 @@ export default function UiSettingsView() {
           );
         });
     });
-  }, [config, t]);
+  }, [config, t, username]);
 
   const clearStreamingSettings = useCallback(async () => {
     if (!config) {
       return [];
     }
 
-    await delData(`streaming-settings`)
+    await deleteUserNamespacedKey(`streaming-settings`, username)
       .then(() => {
         toast.success(t("general.toast.success.clearStreamingSettings"), {
           position: "top-center",
@@ -83,7 +89,7 @@ export default function UiSettingsView() {
           },
         );
       });
-  }, [config, t]);
+  }, [config, t, username]);
 
   useEffect(() => {
     document.title = t("documentTitle.general");
@@ -91,16 +97,24 @@ export default function UiSettingsView() {
 
   // settings
 
-  const [autoLive, setAutoLive] = usePersistence("autoLiveView", true);
-  const [playbackRate, setPlaybackRate] = usePersistence("playbackRate", 1);
-  const [weekStartsOn, setWeekStartsOn] = usePersistence("weekStartsOn", 0);
-  const [alertVideos, setAlertVideos] = usePersistence("alertVideos", true);
+  const [autoLive, setAutoLive] = useUserPersistence("autoLiveView", true);
+  const [cameraNames, setCameraName] = useUserPersistence(
+    "displayCameraNames",
+    false,
+  );
+  const [playbackRate, setPlaybackRate] = useUserPersistence("playbackRate", 1);
+  const [weekStartsOn, setWeekStartsOn] = useUserPersistence("weekStartsOn", 0);
+  const [alertVideos, setAlertVideos] = useUserPersistence("alertVideos", true);
+  const [fallbackTimeout, setFallbackTimeout] = useUserPersistence(
+    "liveFallbackTimeout",
+    3,
+  );
 
   return (
     <>
       <div className="flex size-full flex-col md:flex-row">
         <Toaster position="top-center" closeButton={true} />
-        <div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto pb-2 md:order-none">
+        <div className="scrollbar-container order-last mb-2 mt-2 flex h-full w-full flex-col overflow-y-auto pb-2 md:order-none">
           <Heading as="h4" className="mb-2">
             {t("general.title")}
           </Heading>
@@ -142,6 +156,63 @@ export default function UiSettingsView() {
                 <p>{t("general.liveDashboard.playAlertVideos.desc")}</p>
               </div>
             </div>
+            <div className="space-y-3">
+              <div className="flex flex-row items-center justify-start gap-2">
+                <Switch
+                  id="camera-names"
+                  checked={cameraNames}
+                  onCheckedChange={setCameraName}
+                />
+                <Label className="cursor-pointer" htmlFor="camera-names">
+                  {t("general.liveDashboard.displayCameraNames.label")}
+                </Label>
+              </div>
+              <div className="my-2 max-w-5xl text-sm text-muted-foreground">
+                <p>{t("general.liveDashboard.displayCameraNames.desc")}</p>
+              </div>
+            </div>
+            <div className="space-y-3">
+              <div className="flex flex-row items-center justify-start gap-2">
+                <Label
+                  className="cursor-pointer"
+                  htmlFor="live-fallback-timeout"
+                >
+                  {t("general.liveDashboard.liveFallbackTimeout.label")}
+                </Label>
+              </div>
+              <div className="my-2 max-w-5xl text-sm text-muted-foreground">
+                <p>{t("general.liveDashboard.liveFallbackTimeout.desc")}</p>
+              </div>
+              <Select
+                value={fallbackTimeout?.toString()}
+                onValueChange={(value) => setFallbackTimeout(parseInt(value))}
+              >
+                <SelectTrigger className="w-36">
+                  {t("time.second", {
+                    ns: "common",
+                    time: fallbackTimeout,
+                    count: fallbackTimeout,
+                  })}
+                </SelectTrigger>
+                <SelectContent>
+                  <SelectGroup>
+                    {[1, 2, 3, 4, 5, 6, 7, 8, 9, 10].map((timeout) => (
+                      <SelectItem
+                        key={timeout}
+                        className="cursor-pointer"
+                        value={timeout.toString()}
+                      >
+                        {t("time.second", {
+                          ns: "common",
+                          time: timeout,
+                          count: timeout,
+                        })}
+                      </SelectItem>
+                    ))}
+                  </SelectGroup>
+                </SelectContent>
+              </Select>
+            </div>
           </div>
 
           <div className="my-3 flex w-full flex-col space-y-6">
diff --git a/web/src/views/system/CameraMetrics.tsx b/web/src/views/system/CameraMetrics.tsx
index c55c9f24c..6e24ef5d0 100644
--- a/web/src/views/system/CameraMetrics.tsx
+++ b/web/src/views/system/CameraMetrics.tsx
@@ -13,7 +13,7 @@ import {
 } from "@/components/ui/tooltip";
 import useSWR from "swr";
 import { useTranslation } from "react-i18next";
-import { CameraNameLabel } from "@/components/camera/CameraNameLabel";
+import { CameraNameLabel } from "@/components/camera/FriendlyNameLabel";
 import { resolveCameraName } from "@/hooks/use-camera-friendly-name";
 
 type CameraMetricsProps = {
diff --git a/web/src/views/system/EnrichmentMetrics.tsx b/web/src/views/system/EnrichmentMetrics.tsx
index b762f6a7f..29eda8fa2 100644
--- a/web/src/views/system/EnrichmentMetrics.tsx
+++ b/web/src/views/system/EnrichmentMetrics.tsx
@@ -67,13 +67,14 @@ export default function EnrichmentMetrics({
 
   // features stats
 
-  const embeddingInferenceTimeSeries = useMemo(() => {
+  const groupedEnrichmentMetrics = useMemo(() => {
     if (!statsHistory) {
       return [];
     }
 
     const series: {
       [key: string]: {
+        rawKey: string;
         name: string;
         metrics: Threshold;
         data: { x: number; y: number }[];
@@ -87,10 +88,20 @@ export default function EnrichmentMetrics({
 
       Object.entries(stats.embeddings).forEach(([rawKey, stat]) => {
         const key = rawKey.replaceAll("_", " ");
-
         if (!(key in series)) {
+          const classificationIndex = rawKey.indexOf("_classification_");
+          const seriesName =
+            classificationIndex === -1
+              ? t("enrichments.embeddings." + rawKey)
+              : t(
+                  `enrichments.embeddings.${rawKey.substring(classificationIndex + 1)}`,
+                  {
+                    name: rawKey.substring(0, classificationIndex),
+                  },
+                );
           series[key] = {
-            name: t("enrichments.embeddings." + rawKey),
+            rawKey,
+            name: seriesName,
             metrics: getThreshold(rawKey),
             data: [],
           };
@@ -99,7 +110,63 @@ export default function EnrichmentMetrics({
         series[key].data.push({ x: statsIdx + 1, y: stat });
       });
     });
-    return Object.values(series);
+
+    // Group series by category (extract base name from raw key)
+    const grouped: {
+      [category: string]: {
+        categoryName: string;
+        speedSeries?: {
+          name: string;
+          metrics: Threshold;
+          data: { x: number; y: number }[];
+        };
+        eventsSeries?: {
+          name: string;
+          metrics: Threshold;
+          data: { x: number; y: number }[];
+        };
+      };
+    } = {};
+
+    Object.values(series).forEach((s) => {
+      // Extract base category name from raw key
+      // All metrics follow the pattern: {base}_speed and {base}_events_per_second
+      let categoryKey = s.rawKey;
+      let isSpeed = false;
+
+      if (s.rawKey.endsWith("_speed")) {
+        categoryKey = s.rawKey.replace("_speed", "");
+        isSpeed = true;
+      } else if (s.rawKey.endsWith("_events_per_second")) {
+        categoryKey = s.rawKey.replace("_events_per_second", "");
+        isSpeed = false;
+      }
+
+      let categoryName = "";
+      // Get translated category name
+      if (categoryKey.endsWith("_classification")) {
+        const name = categoryKey.replace("_classification", "");
+        categoryName = t("enrichments.embeddings.classification", { name });
+      } else {
+        categoryName = t("enrichments.embeddings." + categoryKey);
+      }
+
+      if (!(categoryKey in grouped)) {
+        grouped[categoryKey] = {
+          categoryName,
+          speedSeries: undefined,
+          eventsSeries: undefined,
+        };
+      }
+
+      if (isSpeed) {
+        grouped[categoryKey].speedSeries = s;
+      } else {
+        grouped[categoryKey].eventsSeries = s;
+      }
+    });
+
+    return Object.values(grouped);
   }, [statsHistory, t, getThreshold]);
 
   return (
@@ -110,35 +177,42 @@ export default function EnrichmentMetrics({
         </div>
         <div
           className={cn(
-            "mt-4 grid w-full grid-cols-1 gap-2 sm:grid-cols-3",
-            embeddingInferenceTimeSeries && "sm:grid-cols-4",
+            "mt-4 grid w-full grid-cols-1 gap-2 sm:grid-cols-2 md:grid-cols-4",
           )}
         >
           {statsHistory.length != 0 ? (
             <>
-              {embeddingInferenceTimeSeries.map((series) => (
-                <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
-                  <div className="mb-5 smart-capitalize">{series.name}</div>
-                  {series.name.endsWith("Speed") ? (
-                    <ThresholdBarGraph
-                      key={series.name}
-                      graphId={`${series.name}-inference`}
-                      name={series.name}
-                      unit="ms"
-                      threshold={series.metrics}
-                      updateTimes={updateTimes}
-                      data={[series]}
-                    />
-                  ) : (
-                    <EventsPerSecondsLineGraph
-                      key={series.name}
-                      graphId={`${series.name}-fps`}
-                      unit=""
-                      name={t("enrichments.infPerSecond")}
-                      updateTimes={updateTimes}
-                      data={[series]}
-                    />
-                  )}
+              {groupedEnrichmentMetrics.map((group) => (
+                <div
+                  key={group.categoryName}
+                  className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl"
+                >
+                  <div className="mb-5 smart-capitalize">
+                    {group.categoryName}
+                  </div>
+                  <div className="space-y-4">
+                    {group.speedSeries && (
+                      <ThresholdBarGraph
+                        key={`${group.categoryName}-speed`}
+                        graphId={`${group.categoryName}-inference`}
+                        name={t("enrichments.averageInf")}
+                        unit="ms"
+                        threshold={group.speedSeries.metrics}
+                        updateTimes={updateTimes}
+                        data={[group.speedSeries]}
+                      />
+                    )}
+                    {group.eventsSeries && (
+                      <EventsPerSecondsLineGraph
+                        key={`${group.categoryName}-events`}
+                        graphId={`${group.categoryName}-fps`}
+                        unit=""
+                        name={t("enrichments.infPerSecond")}
+                        updateTimes={updateTimes}
+                        data={[group.eventsSeries]}
+                      />
+                    )}
+                  </div>
                 </div>
               ))}
             </>
diff --git a/web/src/views/system/GeneralMetrics.tsx b/web/src/views/system/GeneralMetrics.tsx
index 6d22942fb..f8ce64851 100644
--- a/web/src/views/system/GeneralMetrics.tsx
+++ b/web/src/views/system/GeneralMetrics.tsx
@@ -375,6 +375,50 @@ export default function GeneralMetrics({
     return Object.keys(series).length > 0 ? Object.values(series) : undefined;
   }, [statsHistory]);
 
+  // Check if Intel GPU has all 0% usage values (known bug)
+  const showIntelGpuWarning = useMemo(() => {
+    if (!statsHistory || statsHistory.length < 3) {
+      return false;
+    }
+
+    const gpuKeys = Object.keys(statsHistory[0]?.gpu_usages ?? {});
+    const hasIntelGpu = gpuKeys.some(
+      (key) => key === "intel-vaapi" || key === "intel-qsv",
+    );
+
+    if (!hasIntelGpu) {
+      return false;
+    }
+
+    // Check if all GPU usage values are 0% across all stats
+    let allZero = true;
+    let hasDataPoints = false;
+
+    for (const stats of statsHistory) {
+      if (!stats) {
+        continue;
+      }
+
+      Object.entries(stats.gpu_usages || {}).forEach(([key, gpuStats]) => {
+        if (key === "intel-vaapi" || key === "intel-qsv") {
+          if (gpuStats.gpu) {
+            hasDataPoints = true;
+            const gpuValue = parseFloat(gpuStats.gpu.slice(0, -1));
+            if (!isNaN(gpuValue) && gpuValue > 0) {
+              allZero = false;
+            }
+          }
+        }
+      });
+
+      if (!allZero) {
+        break;
+      }
+    }
+
+    return hasDataPoints && allZero;
+  }, [statsHistory]);
+
   // npu stats
 
   const npuSeries = useMemo(() => {
@@ -639,8 +683,46 @@ export default function GeneralMetrics({
                 <>
                   {statsHistory.length != 0 ? (
                     <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
-                      <div className="mb-5">
+                      <div className="mb-5 flex flex-row items-center justify-between">
                         {t("general.hardwareInfo.gpuUsage")}
+                        {showIntelGpuWarning && (
+                          <Popover>
+                            <PopoverTrigger asChild>
+                              <button
+                                className="flex flex-row items-center gap-1.5 text-yellow-600 focus:outline-none dark:text-yellow-500"
+                                aria-label={t(
+                                  "general.hardwareInfo.intelGpuWarning.title",
+                                )}
+                              >
+                                <CiCircleAlert
+                                  className="size-5"
+                                  aria-label={t(
+                                    "general.hardwareInfo.intelGpuWarning.title",
+                                  )}
+                                />
+                                <span className="text-sm">
+                                  {t(
+                                    "general.hardwareInfo.intelGpuWarning.message",
+                                  )}
+                                </span>
+                              </button>
+                            </PopoverTrigger>
+                            <PopoverContent className="w-80">
+                              <div className="space-y-2">
+                                <div className="font-semibold">
+                                  {t(
+                                    "general.hardwareInfo.intelGpuWarning.title",
+                                  )}
+                                </div>
+                                <div>
+                                  {t(
+                                    "general.hardwareInfo.intelGpuWarning.description",
+                                  )}
+                                </div>
+                              </div>
+                            </PopoverContent>
+                          </Popover>
+                        )}
                       </div>
                       {gpuSeries.map((series) => (
                         <ThresholdBarGraph
@@ -729,33 +811,32 @@ export default function GeneralMetrics({
                   ) : (
                     <Skeleton className="aspect-video w-full" />
                   )}
-                </>
-              )}
-              {statsHistory[0]?.npu_usages && (
-                <div
-                  className={cn("mt-4 grid grid-cols-1 gap-2 sm:grid-cols-2")}
-                >
-                  {statsHistory.length != 0 ? (
-                    <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
-                      <div className="mb-5">
-                        {t("general.hardwareInfo.npuUsage")}
-                      </div>
-                      {npuSeries.map((series) => (
-                        <ThresholdBarGraph
-                          key={series.name}
-                          graphId={`${series.name}-npu`}
-                          name={series.name}
-                          unit="%"
-                          threshold={GPUUsageThreshold}
-                          updateTimes={updateTimes}
-                          data={[series]}
-                        />
-                      ))}
-                    </div>
-                  ) : (
-                    <Skeleton className="aspect-video w-full" />
+
+                  {statsHistory[0]?.npu_usages && (
+                    <>
+                      {statsHistory.length != 0 ? (
+                        <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
+                          <div className="mb-5">
+                            {t("general.hardwareInfo.npuUsage")}
+                          </div>
+                          {npuSeries.map((series) => (
+                            <ThresholdBarGraph
+                              key={series.name}
+                              graphId={`${series.name}-npu`}
+                              name={series.name}
+                              unit="%"
+                              threshold={GPUUsageThreshold}
+                              updateTimes={updateTimes}
+                              data={[series]}
+                            />
+                          ))}
+                        </div>
+                      ) : (
+                        <Skeleton className="aspect-video w-full" />
+                      )}
+                    </>
                   )}
-                </div>
+                </>
               )}
             </div>
           </>
@@ -774,7 +855,7 @@ export default function GeneralMetrics({
                 <ThresholdBarGraph
                   key={series.name}
                   graphId={`${series.name}-cpu`}
-                  name={series.name.replaceAll("_", " ")}
+                  name={t(`general.otherProcesses.series.${series.name}`)}
                   unit="%"
                   threshold={DetectorCpuThreshold}
                   updateTimes={updateTimes}
diff --git a/web/src/views/system/StorageMetrics.tsx b/web/src/views/system/StorageMetrics.tsx
index b91e66986..2c222d6c3 100644
--- a/web/src/views/system/StorageMetrics.tsx
+++ b/web/src/views/system/StorageMetrics.tsx
@@ -72,8 +72,7 @@ export default function StorageMetrics({
   const earliestDate = useMemo(() => {
     const keys = Object.keys(recordingsSummary || {});
     return keys.length
-      ? new TZDate(keys[keys.length - 1] + "T00:00:00", timezone).getTime() /
-          1000
+      ? new TZDate(keys[0] + "T00:00:00", timezone).getTime() / 1000
       : null;
   }, [recordingsSummary, timezone]);
 
diff --git a/web/tailwind.config.cjs b/web/tailwind.config.cjs
index 33d403e4f..eb1195bda 100644
--- a/web/tailwind.config.cjs
+++ b/web/tailwind.config.cjs
@@ -44,7 +44,7 @@ module.exports = {
       },
       backgroundImage: {
         slashes:
-          "repeating-linear-gradient(45deg, hsl(var(--primary-variant) / 0.2), hsl(var(--primary-variant) / 0.2) 2px, transparent 2px, transparent 8px)",
+          "repeating-linear-gradient(135deg, hsl(var(--primary-variant) / 0.3), hsl(var(--primary-variant) / 0.3) 2px, transparent 2px, transparent 8px), linear-gradient(to right, hsl(var(--background)), hsl(var(--background)))",
       },
       colors: {
         border: "hsl(var(--border))",
diff --git a/web/themes/theme-default.css b/web/themes/theme-default.css
index d5e0a0b80..b96f2ecca 100644
--- a/web/themes/theme-default.css
+++ b/web/themes/theme-default.css
@@ -36,8 +36,8 @@
     --secondary-foreground: hsl(222.2, 17.4%, 36.2%);
     --secondary-foreground: 222.2 17.4% 36.2%;
 
-    --secondary-highlight: hsl(0, 0%, 94%);
-    --secondary-highlight: 0 0% 94%;
+    --secondary-highlight: hsl(210, 17.4%, 94%);
+    --secondary-highlight: 210 17.4% 94%;
 
     --neutral: hsl(0, 0%, 45.1%);
     --neutral: 0 0% 45.1%;