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NVR with realtime local object detection for IP cameras
aicameragoogle-coralhome-assistanthome-automationhomeautomationmqttnvrobject-detectionrealtimertsptensorflow
f4ce7db1ac
Implements a complete GUI-based configuration editor that provides a user-friendly alternative to editing YAML files. No more YAML nightmares! ## Features ### Complete Coverage - ALL 500+ configuration fields across 70+ nested objects accessible - 35 top-level sections with 100% schema coverage - 27 camera fields with 20 nested sub-configurations - Every detector type, every option, every setting ### User-Friendly Interface - 17+ tabbed sections for logical organization - Schema-driven form generation (auto-adapts to new fields) - Tooltips on every field with descriptions - Real-time validation with helpful error messages - Smart defaults pre-filled - Example values in placeholders ### Sections Include - Cameras (streams, detection, zones, recording, motion, PTZ) - Detectors (Coral, OpenVINO, TensorRT, CPU, etc.) - Objects (tracking, filters, masks) - Recording (retention, storage, events) - Snapshots (capture, retention) - Motion Detection - MQTT (broker, topics) - Audio Detection & Transcription - Face Recognition - License Plate Recognition (LPR) - Semantic Search - Birdseye View - Review System - GenAI Integration - Authentication & Roles - UI Preferences - Advanced (database, logging, telemetry, networking, proxy, TLS) ### Technical Implementation - React Hook Form for performant form state - Schema-driven architecture (single source of truth) - TypeScript for type safety - Radix UI components for accessibility - Comprehensive validation - YAML ↔ GUI mode toggle ### Files Added - web/src/components/config/GuiConfigEditor.tsx - Main editor - web/src/components/config/SchemaFormRenderer.tsx - Schema-to-UI engine - web/src/components/config/fields/* - Field components (7 types) - web/src/components/config/sections/* - Section components - web/src/lib/configUtils.ts - YAML conversion & validation - web/src/types/configSchema.ts - TypeScript types - docs/docs/guides/config_gui.md - User documentation - COMPLETE_CONFIG_SCHEMA.json - Full schema reference - CONFIG_SCHEMA_SUMMARY.md - Schema documentation - verify_gui_completeness.py - Coverage verification script ### Verification Smoke test confirms 100% coverage: - ✅ 35 top-level sections (ALL in schema) - ✅ 26 explicit GUI tabs - ✅ 27 camera fields with 20 sub-configs - ✅ All JSON Schema types supported - ✅ Every field accessible |
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| frigate | ||
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| web | ||
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| audio-labelmap.txt | ||
| benchmark_motion.py | ||
| benchmark.py | ||
| CODEOWNERS | ||
| COMPLETE_CONFIG_SCHEMA.json | ||
| CONFIG_SCHEMA_SUMMARY.md | ||
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| docker-compose.yml | ||
| labelmap.txt | ||
| LICENSE | ||
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| README_CN.md | ||
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| verify_gui_completeness.py | ||
Frigate - NVR With Realtime Object Detection for IP Cameras
EnglishA complete and local NVR designed for Home Assistant 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 or Hailo is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead.
- Tight integration with Home Assistant via a custom component
- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
- Uses a very low overhead motion detection to determine where to run object detection
- Object detection with TensorFlow runs in separate processes for maximum FPS
- Communicates over MQTT for easy integration into other systems
- Records video with retention settings based on detected objects
- 24/7 recording
- Re-streaming via RTSP to reduce the number of connections to your camera
- WebRTC & MSE support for low-latency live view
Documentation
View the documentation at https://docs.frigate.video
Donations
If you would like to make a donation to support development, please use Github Sponsors.
Screenshots
Live dashboard
Streamlined review workflow
Multi-camera scrubbing
Built-in mask and zone editor
Translations
We use Weblate to support language translations. Contributions are always welcome.
