Bump uuid and @rjsf/shadcn in /web

Bumps [uuid](https://github.com/uuidjs/uuid) to 14.0.0 and updates ancestor dependency [@rjsf/shadcn](https://github.com/rjsf-team/react-jsonschema-form). These dependencies need to be updated together.


Updates `uuid` from 13.0.0 to 14.0.0
- [Release notes](https://github.com/uuidjs/uuid/releases)
- [Changelog](https://github.com/uuidjs/uuid/blob/main/CHANGELOG.md)
- [Commits](https://github.com/uuidjs/uuid/compare/v13.0.0...v14.0.0)

Updates `@rjsf/shadcn` from 6.4.1 to 6.5.2
- [Release notes](https://github.com/rjsf-team/react-jsonschema-form/releases)
- [Changelog](https://github.com/rjsf-team/react-jsonschema-form/blob/main/CHANGELOG.md)
- [Commits](https://github.com/rjsf-team/react-jsonschema-form/compare/6.4.1...6.5.2)

---
updated-dependencies:
- dependency-name: uuid
  dependency-version: 14.0.0
  dependency-type: indirect
- dependency-name: "@rjsf/shadcn"
  dependency-version: 6.5.2
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

docs/docs/configuration/object_detectors.md

@@ -72,7 +72,7 @@ This does not affect using hardware for accelerating other tasks such as [semant
 
 # Officially Supported Detectors
 
-Frigate provides a number of builtin detector types. By default, Frigate will use a single OpenVINO detector running on the CPU. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
+Frigate provides a number of builtin detector types. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
 
 ## Edge TPU Detector
 

docs/docs/guides/getting_started.md

@@ -192,7 +192,7 @@ cameras:
 
 ### Step 4: Configure detectors
 
-By default, Frigate will use a single OpenVINO detector running on the CPU.
+By default, Frigate will use a single CPU detector.
 
 In many cases, the integrated graphics on Intel CPUs provides sufficient performance for typical Frigate setups. If you have an Intel processor, you can follow the configuration below.
 

frigate/api/app.py

@@ -499,40 +499,6 @@ def config_save(save_option: str, body: Any = Body(media_type="text/plain")):
         )
 
 
-def _restore_masked_camera_paths(config_data: dict, config: FrigateConfig) -> None:
-    """Substitute incoming `*:*` masked credentials with the in-memory ones.
-
-    The /config response masks ffmpeg input credentials, so the settings UI
-    sends the masked path back when sibling fields (e.g. hwaccel_args) are
-    edited.  Without this we'd write `rtsp://*:*@host` into YAML and lose
-    the real credentials.  Mutates `config_data` in place.
-    """
-    cameras = config_data.get("cameras")
-    if not isinstance(cameras, dict):
-        return
-
-    for camera_name, camera_data in cameras.items():
-        if not isinstance(camera_data, dict):
-            continue
-        inputs = camera_data.get("ffmpeg", {}).get("inputs")
-        if not isinstance(inputs, list):
-            continue
-        existing = config.cameras.get(camera_name)
-        if existing is None:
-            continue
-        existing_paths = [inp.path for inp in existing.ffmpeg.inputs]
-        for index, input_obj in enumerate(inputs):
-            if not isinstance(input_obj, dict):
-                continue
-            path = input_obj.get("path")
-            if not isinstance(path, str):
-                continue
-            if ("://*:*@" in path or "user=*&password=*" in path) and index < len(
-                existing_paths
-            ):
-                input_obj["path"] = existing_paths[index]
-
-
 def _config_set_in_memory(request: Request, body: AppConfigSetBody) -> JSONResponse:
     """Apply config changes in-memory only, without writing to YAML.
 
@@ -543,7 +509,6 @@ def _config_set_in_memory(request: Request, body: AppConfigSetBody) -> JSONRespo
     try:
         updates = {}
         if body.config_data:
-            _restore_masked_camera_paths(body.config_data, request.app.frigate_config)
             updates = flatten_config_data(body.config_data)
             updates = {k: ("" if v is None else v) for k, v in updates.items()}
 
@@ -650,9 +615,6 @@ def config_set(request: Request, body: AppConfigSetBody):
                 if query_string:
                     updates = process_config_query_string(query_string)
                 elif body.config_data:
-                    _restore_masked_camera_paths(
-                        body.config_data, request.app.frigate_config
-                    )
                     updates = flatten_config_data(body.config_data)
                     # Convert None values to empty strings for deletion (e.g., when deleting masks)
                     updates = {k: ("" if v is None else v) for k, v in updates.items()}

frigate/api/chat.py

@@ -37,7 +37,6 @@ from frigate.api.defs.response.chat_response import (
 from frigate.api.defs.tags import Tags
 from frigate.api.event import events
 from frigate.config import FrigateConfig
-from frigate.config.ui import UnitSystemEnum
 from frigate.genai.utils import build_assistant_message_for_conversation
 from frigate.jobs.vlm_watch import (
     get_vlm_watch_job,
@@ -1302,7 +1301,6 @@ async def chat_completion(
 
     cameras_info = []
     config = request.app.frigate_config
-    has_speed_zone = False
     for camera_id in allowed_cameras:
         if camera_id not in config.cameras:
             continue
@@ -1313,10 +1311,6 @@ async def chat_completion(
             else camera_id.replace("_", " ").title()
         )
         zone_names = list(camera_config.zones.keys())
-        if not has_speed_zone:
-            has_speed_zone = any(
-                zone.distances for zone in camera_config.zones.values()
-            )
         if zone_names:
             cameras_info.append(
                 f"  - {friendly_name} (ID: {camera_id}, zones: {', '.join(zone_names)})"
@@ -1332,13 +1326,6 @@ async def chat_completion(
             + "\n\nWhen users refer to cameras by their friendly name (e.g., 'Back Deck Camera'), use the corresponding camera ID (e.g., 'back_deck_cam') in tool calls."
         )
 
-    speed_units_section = ""
-    if has_speed_zone:
-        speed_unit = (
-            "mph" if config.ui.unit_system == UnitSystemEnum.imperial else "km/h"
-        )
-        speed_units_section = f"\n\nReport object speeds to the user in {speed_unit}."
-
     system_prompt = f"""You are a helpful assistant for Frigate, a security camera NVR system. You help users answer questions about their cameras, detected objects, and events.
 
 Current server local date and time: {current_date_str} at {current_time_str}
@@ -1350,7 +1337,7 @@ When users ask about "today", "yesterday", "this week", etc., use the current da
 When searching for objects or events, use ISO 8601 format for dates (e.g., {current_date_str}T00:00:00Z for the start of today).
 Always be accurate with time calculations based on the current date provided.
 
-When a user refers to a specific object they have seen or describe with identifying details ("that green car", "the person in the red jacket", "a package left today"), prefer the find_similar_objects tool over search_objects. Use search_objects first only to locate the anchor event, then pass its id to find_similar_objects. For generic queries like "show me all cars today", keep using search_objects. If a user message begins with [attached_event:<id>], treat that event id as the anchor for any similarity or "tell me more" request in the same message and call find_similar_objects with that id.{cameras_section}{speed_units_section}"""
+When a user refers to a specific object they have seen or describe with identifying details ("that green car", "the person in the red jacket", "a package left today"), prefer the find_similar_objects tool over search_objects. Use search_objects first only to locate the anchor event, then pass its id to find_similar_objects. For generic queries like "show me all cars today", keep using search_objects. If a user message begins with [attached_event:<id>], treat that event id as the anchor for any similarity or "tell me more" request in the same message and call find_similar_objects with that id.{cameras_section}"""
 
     conversation.append(
         {

frigate/config/camera/camera.py

@@ -76,7 +76,7 @@ class CameraConfig(FrigateBaseModel):
     # Options with global fallback
     audio: AudioConfig = Field(
         default_factory=AudioConfig,
-        title="Audio detection",
+        title="Audio events",
         description="Settings for audio-based event detection for this camera.",
     )
     audio_transcription: CameraAudioTranscriptionConfig = Field(

frigate/config/camera/genai.py

@@ -41,7 +41,8 @@ class GenAIConfig(FrigateBaseModel):
         title="Model",
         description="The model to use from the provider for generating descriptions or summaries.",
     )
-    provider: GenAIProviderEnum = Field(
+    provider: GenAIProviderEnum | None = Field(
+        default=None,
         title="Provider",
         description="The GenAI provider to use (for example: ollama, gemini, openai).",
     )

frigate/config/camera/updater.py

@@ -121,10 +121,7 @@ class CameraConfigUpdateSubscriber:
         elif update_type == CameraConfigUpdateEnum.objects:
             config.objects = updated_config
         elif update_type == CameraConfigUpdateEnum.record:
-            old_enabled_in_config = config.record.enabled_in_config
             config.record = updated_config
-            if old_enabled_in_config != updated_config.enabled_in_config:
-                config.recreate_ffmpeg_cmds()
         elif update_type == CameraConfigUpdateEnum.review:
             config.review = updated_config
         elif update_type == CameraConfigUpdateEnum.review_genai:

frigate/config/classification.py

@@ -26,11 +26,6 @@ class EnrichmentsDeviceEnum(str, Enum):
     CPU = "CPU"
 
 
-class ModelSizeEnum(str, Enum):
-    small = "small"
-    large = "large"
-
-
 class TriggerType(str, Enum):
     THUMBNAIL = "thumbnail"
     DESCRIPTION = "description"
@@ -58,13 +53,13 @@ class AudioTranscriptionConfig(FrigateBaseModel):
         title="Transcription language",
         description="Language code used for transcription/translation (for example 'en' for English). See https://whisper-api.com/docs/languages/ for supported language codes.",
     )
-    device: EnrichmentsDeviceEnum = Field(
+    device: Optional[EnrichmentsDeviceEnum] = Field(
         default=EnrichmentsDeviceEnum.CPU,
         title="Transcription device",
         description="Device key (CPU/GPU) to run the transcription model on. Only NVIDIA CUDA GPUs are currently supported for transcription.",
     )
-    model_size: ModelSizeEnum = Field(
-        default=ModelSizeEnum.small,
+    model_size: str = Field(
+        default="small",
         title="Model size",
         description="Model size to use for offline audio event transcription.",
     )
@@ -194,8 +189,8 @@ class SemanticSearchConfig(FrigateBaseModel):
                 return v
         return v
 
-    model_size: ModelSizeEnum = Field(
-        default=ModelSizeEnum.small,
+    model_size: str = Field(
+        default="small",
         title="Model size",
         description="Select model size; 'small' runs on CPU and 'large' typically requires GPU.",
     )
@@ -258,8 +253,8 @@ class FaceRecognitionConfig(FrigateBaseModel):
         title="Enable face recognition",
         description="Enable or disable face recognition for all cameras; can be overridden per-camera.",
     )
-    model_size: ModelSizeEnum = Field(
-        default=ModelSizeEnum.small,
+    model_size: str = Field(
+        default="small",
         title="Model size",
         description="Model size to use for face embeddings (small/large); larger may require GPU.",
     )
@@ -340,8 +335,8 @@ class LicensePlateRecognitionConfig(FrigateBaseModel):
         title="Enable LPR",
         description="Enable or disable license plate recognition for all cameras; can be overridden per-camera.",
     )
-    model_size: ModelSizeEnum = Field(
-        default=ModelSizeEnum.small,
+    model_size: str = Field(
+        default="small",
         title="Model size",
         description="Model size used for text detection/recognition. Most users should use 'small'.",
     )

frigate/config/config.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-import io
 import json
 import logging
 import os
@@ -81,40 +80,17 @@ logger = logging.getLogger(__name__)
 
 yaml = YAML()
 
-DEFAULT_DETECTORS = {
-    "ov": {
-        "type": "openvino",
-        "device": "CPU",
-    }
-}
-DEFAULT_MODEL = {
-    "width": 300,
-    "height": 300,
-    "input_tensor": "nhwc",
-    "input_pixel_format": "bgr",
-    "path": "/openvino-model/ssdlite_mobilenet_v2.xml",
-    "labelmap_path": "/openvino-model/coco_91cl_bkgr.txt",
-}
-DEFAULT_DETECT_DIMENSIONS = {"width": 1280, "height": 720}
-
-
-def _render_default_yaml(data: dict) -> str:
-    buf = io.StringIO()
-    _yaml_writer = YAML()
-    _yaml_writer.indent(mapping=2, sequence=4, offset=2)
-    _yaml_writer.dump(data, buf)
-    return buf.getvalue()
-
-
 DEFAULT_CONFIG = f"""
 mqtt:
   enabled: False
 
-{_render_default_yaml({"detectors": DEFAULT_DETECTORS, "model": DEFAULT_MODEL})}
 cameras: {{}}  # No cameras defined, UI wizard should be used
 version: {CURRENT_CONFIG_VERSION}
 """
 
+DEFAULT_DETECTORS = {"cpu": {"type": "cpu"}}
+DEFAULT_DETECT_DIMENSIONS = {"width": 1280, "height": 720}
+
 # stream info handler
 stream_info_retriever = StreamInfoRetriever()
 
@@ -477,7 +453,7 @@ class FrigateConfig(FrigateBaseModel):
     cameras: Dict[str, CameraConfig] = Field(title="Cameras", description="Cameras")
     audio: AudioConfig = Field(
         default_factory=AudioConfig,
-        title="Audio detection",
+        title="Audio events",
         description="Settings for audio-based event detection for all cameras; can be overridden per-camera.",
     )
     birdseye: BirdseyeConfig = Field(
@@ -703,9 +679,6 @@ class FrigateConfig(FrigateBaseModel):
                     model_config["path"] = "/cpu_model.tflite"
                 elif detector_config.type == "edgetpu":
                     model_config["path"] = "/edgetpu_model.tflite"
-                elif detector_config.type == "openvino":
-                    for default_key, default_value in DEFAULT_MODEL.items():
-                        model_config.setdefault(default_key, default_value)
 
             model = ModelConfig.model_validate(model_config)
             model.check_and_load_plus_model(self.plus_api, detector_config.type)

frigate/data_processing/post/types.py

@@ -25,15 +25,15 @@ class ReviewMetadata(BaseModel):
             "that belongs in the scene field."
         ),
     )
+    title: str = Field(
+        max_length=80,
+        description="Under 10 words. Name the apparent purpose or outcome of the activity together with the location involved. Do not narrate or list the sequence of actions step by step.",
+    )
     scene: str = Field(
         min_length=150,
         max_length=600,
         description="A chronological narrative of what happens from start to finish, drawing directly from the items in observations.",
     )
-    title: str = Field(
-        max_length=80,
-        description="Under 10 words. Name the apparent purpose or outcome of the activity together with the location involved. Do not narrate or list the sequence of actions step by step.",
-    )
     shortSummary: str = Field(
         min_length=70,
         max_length=120,

frigate/data_processing/real_time/face.py

@@ -229,10 +229,9 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
                 logger.debug(f"No person box available for {id}")
                 return
 
-            # YuNet (cv2.FaceDetectorYN) is trained on BGR
-            bgr = cv2.cvtColor(frame, cv2.COLOR_YUV2BGR_I420)
+            rgb = cv2.cvtColor(frame, cv2.COLOR_YUV2RGB_I420)
             left, top, right, bottom = person_box
-            person = bgr[top:bottom, left:right]
+            person = rgb[top:bottom, left:right]
             face_box = self.__detect_face(person, self.face_config.detection_threshold)
 
             if not face_box:
@@ -251,6 +250,11 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
                 )
                 return
 
+            try:
+                face_frame = cv2.cvtColor(face_frame, cv2.COLOR_RGB2BGR)
+            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
             if not obj_data.get("current_attributes"):

frigate/genai/__init__.py

@@ -109,7 +109,7 @@ When forming your description:
 
 Respond with a JSON object matching the provided schema. Field-specific guidance:
 - `scene`: Describe how the sequence begins, then the progression of events — all significant movements and actions in order. For example, if a vehicle arrives and then a person exits, describe both sequentially. For named subjects (those with a `←` separator in "Objects in Scene"), always use their name — do not replace them with generic terms. For unnamed objects (e.g., "person", "car"), refer to them naturally with articles (e.g., "a person", "the car"). Your description should align with and support the threat level you assign.
-- `title`: Name the primary activity across the observations, together with the location. An activity is what is being done with objects, tools, or surfaces; locomotion through the scene qualifies as the activity only when no other interaction is observed. For named subjects, always use their name. For unnamed objects, refer to them naturally with articles. No editorial qualifiers like "routine" or "suspicious."
+- `title`: Characterize **what took place and where** — interpret the overall purpose or outcome, do not simply compress the scene description into fewer words. Include the relevant location (zone, area, or entry point). For named subjects, always use their name. For unnamed objects, refer to them naturally with articles. No editorial qualifiers like "routine" or "suspicious."
 - `potential_threat_level`: Must be consistent with your scene description and the activity patterns above.
 {get_concern_prompt()}
 

frigate/genai/ollama.py

@@ -1,7 +1,5 @@
 """Ollama Provider for Frigate AI."""
 
-import base64
-import binascii
 import json
 import logging
 from typing import Any, AsyncGenerator, Optional
@@ -18,41 +16,6 @@ from frigate.genai.utils import parse_tool_calls_from_message
 logger = logging.getLogger(__name__)
 
 
-def _normalize_multimodal_content(
-    content: Any,
-) -> tuple[Optional[str], Optional[list[bytes]]]:
-    """Convert OpenAI-style multimodal content to Ollama's (text, images) shape.
-
-    The chat API constructs user messages with content as a list of
-    ``{"type": "text"}`` and ``{"type": "image_url"}`` parts when a tool
-    returns a live frame. Ollama's SDK requires content to be a string and
-    images to be passed in a separate field, so we extract each.
-    """
-    if not isinstance(content, list):
-        return content, None
-
-    text_parts: list[str] = []
-    images: list[bytes] = []
-    for part in content:
-        if not isinstance(part, dict):
-            continue
-        part_type = part.get("type")
-        if part_type == "text":
-            text = part.get("text")
-            if text:
-                text_parts.append(str(text))
-        elif part_type == "image_url":
-            url = (part.get("image_url") or {}).get("url", "")
-            if isinstance(url, str) and url.startswith("data:"):
-                try:
-                    encoded = url.split(",", 1)[1]
-                    images.append(base64.b64decode(encoded, validate=True))
-                except (ValueError, IndexError, binascii.Error) as e:
-                    logger.debug("Failed to decode multimodal image url: %s", e)
-
-    return ("\n".join(text_parts) if text_parts else None), (images or None)
-
-
 @register_genai_provider(GenAIProviderEnum.ollama)
 class OllamaClient(GenAIClient):
     """Generative AI client for Frigate using Ollama."""
@@ -244,13 +207,10 @@ class OllamaClient(GenAIClient):
         """Build request_messages and params for chat (sync or stream)."""
         request_messages = []
         for msg in messages:
-            content, images = _normalize_multimodal_content(msg.get("content", ""))
-            msg_dict: dict[str, Any] = {
+            msg_dict = {
                 "role": msg.get("role"),
-                "content": content if content is not None else "",
+                "content": msg.get("content", ""),
             }
-            if images:
-                msg_dict["images"] = images
             if msg.get("tool_call_id"):
                 msg_dict["tool_call_id"] = msg["tool_call_id"]
             if msg.get("name"):

frigate/record/cleanup.py

@@ -351,11 +351,9 @@ class RecordingCleanup(threading.Thread):
                 )
                 .where(
                     ReviewSegment.camera == camera,
-                    # candidate recordings can extend up to continuous_expire_date
-                    # (the no-motion no-audio branch of the recordings query),
-                    # so reviews must cover that full range to avoid deleting
-                    # segments that overlap recent alerts/detections.
-                    ReviewSegment.start_time < continuous_expire_date,
+                    # need to ensure segments for all reviews starting
+                    # before the expire date are included
+                    ReviewSegment.start_time < motion_expire_date,
                 )
                 .order_by(ReviewSegment.start_time)
                 .namedtuples()

frigate/test/test_config.py

@@ -64,9 +64,9 @@ class TestConfig(unittest.TestCase):
 
     def test_config_class(self):
         frigate_config = FrigateConfig(**self.minimal)
-        assert "ov" in frigate_config.detectors.keys()
-        assert frigate_config.detectors["ov"].type == DetectorTypeEnum.openvino
-        assert frigate_config.detectors["ov"].model.width == 300
+        assert "cpu" in frigate_config.detectors.keys()
+        assert frigate_config.detectors["cpu"].type == DetectorTypeEnum.cpu
+        assert frigate_config.detectors["cpu"].model.width == 320
 
     @patch("frigate.detectors.detector_config.load_labels")
     def test_detector_custom_model_path(self, mock_labels):
@@ -1005,7 +1005,6 @@ class TestConfig(unittest.TestCase):
 
         config = {
             "mqtt": {"host": "mqtt"},
-            "detectors": {"cpu": {"type": "cpu"}},
             "model": {"path": "plus://test"},
             "cameras": {
                 "back": {

frigate/track/object_processing.py

@@ -773,9 +773,7 @@ class TrackedObjectProcessor(threading.Thread):
                 logger.debug(f"Camera {camera} disabled, skipping update")
                 continue
 
-            camera_state = self.camera_states.get(camera)
-            if camera_state is None:
-                continue
+            camera_state = self.camera_states[camera]
 
             camera_state.update(
                 frame_name, frame_time, current_tracked_objects, motion_boxes, regions

frigate/track/tracked_object.py

@@ -330,12 +330,7 @@ class TrackedObject:
             if self.obj_data["position_changes"] != obj_data["position_changes"]:
                 significant_change = True
 
-            # disappearance of a per-frame attribute can be caused by detection
-            # skipping the object on a frame (stationary objects on non-interval
-            # frames), so only flag when a new attribute label appears
-            prev_labels = {a["label"] for a in self.obj_data["attributes"]}
-            curr_labels = {a["label"] for a in obj_data["attributes"]}
-            if curr_labels - prev_labels:
+            if self.obj_data["attributes"] != obj_data["attributes"]:
                 significant_change = True
 
             # if the state changed between stationary and active

frigate/video/detect.py

@@ -438,32 +438,34 @@ def process_frames(
             else:
                 object_tracker.update_frame_times(frame_name, frame_time)
 
+        # group the attribute detections based on what label they apply to
+        attribute_detections: dict[str, list[TrackedObjectAttribute]] = {}
+        for label, attribute_labels in attributes_map.items():
+            attribute_detections[label] = [
+                TrackedObjectAttribute(d)
+                for d in consolidated_detections
+                if d[0] in attribute_labels
+            ]
+
         # build detections
         detections = {}
         for obj in object_tracker.tracked_objects.values():
             detections[obj["id"]] = {**obj, "attributes": []}
 
-        # assign each detected attribute to the best matching object.
-        # iterate consolidated_detections once so attributes that appear under
-        # multiple parent labels in attributes_map (e.g. license_plate is in
-        # both "car" and "motorcycle") are not appended more than once
+        # find the best object for each attribute to be assigned to
         all_objects: list[dict[str, Any]] = object_tracker.tracked_objects.values()
-        detected_attributes = [
-            TrackedObjectAttribute(d)
-            for d in consolidated_detections
-            if d[0] in all_attributes
-        ]
-        for attribute in detected_attributes:
-            filtered_objects = filter(
-                lambda o: attribute.label in attributes_map.get(o["label"], []),
-                all_objects,
-            )
-            selected_object_id = attribute.find_best_object(filtered_objects)
-
-            if selected_object_id is not None:
-                detections[selected_object_id]["attributes"].append(
-                    attribute.get_tracking_data()
+        for attributes in attribute_detections.values():
+            for attribute in attributes:
+                filtered_objects = filter(
+                    lambda o: attribute.label in attributes_map.get(o["label"], []),
+                    all_objects,
                 )
+                selected_object_id = attribute.find_best_object(filtered_objects)
+
+                if selected_object_id is not None:
+                    detections[selected_object_id]["attributes"].append(
+                        attribute.get_tracking_data()
+                    )
 
         # debug object tracking
         if False:

frigate/video/ffmpeg.py

@@ -174,7 +174,6 @@ class CameraWatchdog(threading.Thread):
         )
         self.requestor = InterProcessRequestor()
         self.was_enabled = self.config.enabled
-        self.was_record_enabled_in_config = self.config.record.enabled_in_config
 
         self.segment_subscriber = RecordingsDataSubscriber(RecordingsDataTypeEnum.all)
         self.latest_valid_segment_time: float = 0
@@ -324,22 +323,6 @@ class CameraWatchdog(threading.Thread):
                 self.was_enabled = enabled
                 continue
 
-            record_enabled_in_config = self.config.record.enabled_in_config
-            if record_enabled_in_config != self.was_record_enabled_in_config:
-                if record_enabled_in_config and enabled:
-                    self.logger.debug(
-                        f"Record enabled in config for {self.config.name}, restarting ffmpeg"
-                    )
-                    self.stop_all_ffmpeg()
-                    self.start_all_ffmpeg()
-                    self.latest_valid_segment_time = 0
-                    self.latest_invalid_segment_time = 0
-                    self.latest_cache_segment_time = 0
-                    self.record_enable_time = datetime.now().astimezone(timezone.utc)
-                    last_restart_time = datetime.now().timestamp()
-                self.was_record_enabled_in_config = record_enabled_in_config
-                continue
-
             if not enabled:
                 continue
 

web/package-lock.json

@@ -35,7 +35,7 @@
         "@radix-ui/react-toggle-group": "^1.1.2",
         "@radix-ui/react-tooltip": "^1.2.8",
         "@rjsf/core": "^6.4.1",
-        "@rjsf/shadcn": "^6.4.1",
+        "@rjsf/shadcn": "^6.5.2",
         "@rjsf/utils": "^6.4.1",
         "@rjsf/validator-ajv8": "^6.4.1",
         "apexcharts": "^3.52.0",
@@ -4887,13 +4887,13 @@
       }
     },
     "node_modules/@rjsf/core": {
-      "version": "6.4.1",
-      "resolved": "https://registry.npmjs.org/@rjsf/core/-/core-6.4.1.tgz",
-      "integrity": "sha512-+QaiSgQnOuO6ghIsohH2u/QcylkN+Da2968a75g/i4oARYJRYVxXDm2u3JR5aXndpMb4t4jTFrYyG8cNIv6oEg==",
+      "version": "6.5.2",
+      "resolved": "https://registry.npmjs.org/@rjsf/core/-/core-6.5.2.tgz",
+      "integrity": "sha512-Fx+aVNQRYQyoY0vM8zYDZkuOiNe+5PLsxUySUdHfjljlT23mJnTCpPKMkxWJwh4UEWeSN0xjmknW9LfIwuQmOg==",
       "license": "Apache-2.0",
       "dependencies": {
-        "lodash": "^4.17.23",
-        "lodash-es": "^4.17.23",
+        "lodash": "^4.18.1",
+        "lodash-es": "^4.18.1",
         "markdown-to-jsx": "^8.0.0",
         "prop-types": "^15.8.1"
       },
@@ -4901,14 +4901,14 @@
         "node": ">=20"
       },
       "peerDependencies": {
-        "@rjsf/utils": "^6.4.x",
+        "@rjsf/utils": "^6.5.x",
         "react": ">=18"
       }
     },
     "node_modules/@rjsf/shadcn": {
-      "version": "6.4.1",
-      "resolved": "https://registry.npmjs.org/@rjsf/shadcn/-/shadcn-6.4.1.tgz",
-      "integrity": "sha512-WzwXW3XY7K1jo9XrBv6M41ScdHrnQDKpSxip5i1N6xCgEE6hiyX+wn7pDO689OoidvL3lWQmtnoqMdcoJvEWjw==",
+      "version": "6.5.2",
+      "resolved": "https://registry.npmjs.org/@rjsf/shadcn/-/shadcn-6.5.2.tgz",
+      "integrity": "sha512-h3FsGRy07Gw4MrORlxNTuSb7icuyiUM0KXimg1jgtlYLhYvMKaHzJgdL/SrAyBWiUtXIsxuBhPU3rFxnA9Ml6Q==",
       "license": "MIT",
       "dependencies": {
         "@radix-ui/react-checkbox": "^1.3.3",
@@ -4925,19 +4925,19 @@
         "class-variance-authority": "^0.7.1",
         "clsx": "^2.1.1",
         "cmdk": "^1.1.1",
-        "lodash": "^4.17.23",
-        "lodash-es": "^4.17.23",
+        "lodash": "^4.18.1",
+        "lodash-es": "^4.18.1",
         "lucide-react": "^0.548.0",
-        "tailwind-merge": "^3.4.0",
+        "tailwind-merge": "^3.5.0",
         "tailwindcss-animate": "^1.0.7",
-        "uuid": "^13.0.0"
+        "uuid": "^14.0.0"
       },
       "engines": {
         "node": ">=20"
       },
       "peerDependencies": {
-        "@rjsf/core": "^6.4.x",
-        "@rjsf/utils": "^6.4.x",
+        "@rjsf/core": "^6.5.x",
+        "@rjsf/utils": "^6.5.x",
         "react": ">=18"
       }
     },
@@ -4951,9 +4951,9 @@
       }
     },
     "node_modules/@rjsf/shadcn/node_modules/tailwind-merge": {
-      "version": "3.4.0",
-      "resolved": "https://registry.npmjs.org/tailwind-merge/-/tailwind-merge-3.4.0.tgz",
-      "integrity": "sha512-uSaO4gnW+b3Y2aWoWfFpX62vn2sR3skfhbjsEnaBI81WD1wBLlHZe5sWf0AqjksNdYTbGBEd0UasQMT3SNV15g==",
+      "version": "3.5.0",
+      "resolved": "https://registry.npmjs.org/tailwind-merge/-/tailwind-merge-3.5.0.tgz",
+      "integrity": "sha512-I8K9wewnVDkL1NTGoqWmVEIlUcB9gFriAEkXkfCjX5ib8ezGxtR3xD7iZIxrfArjEsH7F1CHD4RFUtxefdqV/A==",
       "license": "MIT",
       "funding": {
         "type": "github",
@@ -4961,16 +4961,17 @@
       }
     },
     "node_modules/@rjsf/utils": {
-      "version": "6.4.1",
-      "resolved": "https://registry.npmjs.org/@rjsf/utils/-/utils-6.4.1.tgz",
-      "integrity": "sha512-5NL3jwt3rIS5/WRTrKt++y40FS/ScKGVwYJ3jIrHSQHSwBdLnd4cHf2zcnA97L1Klj8I6tvS/ugh+blf/Diwuw==",
+      "version": "6.5.2",
+      "resolved": "https://registry.npmjs.org/@rjsf/utils/-/utils-6.5.2.tgz",
+      "integrity": "sha512-qBVQ5qf9BKMOQy/DjMl/IjD5s6akRDx18cgiSYunKt/CYc+kPzHyCVA2TU0rXCsigNlhgnfM8piC3LEHye6vpA==",
       "license": "Apache-2.0",
       "dependencies": {
-        "@x0k/json-schema-merge": "^1.0.2",
+        "@x0k/json-schema-merge": "^1.0.3",
+        "fast-equals": "^6.0.0",
         "fast-uri": "^3.1.0",
         "jsonpointer": "^5.0.1",
-        "lodash": "^4.17.23",
-        "lodash-es": "^4.17.23",
+        "lodash": "^4.18.1",
+        "lodash-es": "^4.18.1",
         "react-is": "^18.3.1"
       },
       "engines": {
@@ -4980,6 +4981,15 @@
         "react": ">=18"
       }
     },
+    "node_modules/@rjsf/utils/node_modules/fast-equals": {
+      "version": "6.0.0",
+      "resolved": "https://registry.npmjs.org/fast-equals/-/fast-equals-6.0.0.tgz",
+      "integrity": "sha512-PFhhIGgdM79r5Uztdj9Zb6Tt1zKafqVfdMGwVca1z5z6fbX7DmsySSuJd8HiP6I1j505DCS83cLxo5rmSNeVEA==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=6.0.0"
+      }
+    },
     "node_modules/@rjsf/validator-ajv8": {
       "version": "6.4.1",
       "resolved": "https://registry.npmjs.org/@rjsf/validator-ajv8/-/validator-ajv8-6.4.1.tgz",
@@ -6173,9 +6183,9 @@
       }
     },
     "node_modules/@x0k/json-schema-merge": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/@x0k/json-schema-merge/-/json-schema-merge-1.0.2.tgz",
-      "integrity": "sha512-1734qiJHNX3+cJGDMMw2yz7R+7kpbAtl5NdPs1c/0gO5kYT6s4dMbLXiIfpZNsOYhGZI3aH7FWrj4Zxz7epXNg==",
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/@x0k/json-schema-merge/-/json-schema-merge-1.0.3.tgz",
+      "integrity": "sha512-lerJC4sI9CNUQWdff3PnU1YJOqazD6TjMcvxZIPXUBjn4j1cUiXE0LvzhMnGYzKKr271TkvXJtH7gEwksrtn+w==",
       "license": "MIT",
       "dependencies": {
         "@types/json-schema": "^7.0.15"
@@ -13977,9 +13987,9 @@
       "integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw=="
     },
     "node_modules/uuid": {
-      "version": "13.0.0",
-      "resolved": "https://registry.npmjs.org/uuid/-/uuid-13.0.0.tgz",
-      "integrity": "sha512-XQegIaBTVUjSHliKqcnFqYypAd4S+WCYt5NIeRs6w/UAry7z8Y9j5ZwRRL4kzq9U3sD6v+85er9FvkEaBpji2w==",
+      "version": "14.0.0",
+      "resolved": "https://registry.npmjs.org/uuid/-/uuid-14.0.0.tgz",
+      "integrity": "sha512-Qo+uWgilfSmAhXCMav1uYFynlQO7fMFiMVZsQqZRMIXp0O7rR7qjkj+cPvBHLgBqi960QCoo/PH2/6ZtVqKvrg==",
       "funding": [
         "https://github.com/sponsors/broofa",
         "https://github.com/sponsors/ctavan"

web/package.json

@@ -49,7 +49,7 @@
     "@radix-ui/react-toggle-group": "^1.1.2",
     "@radix-ui/react-tooltip": "^1.2.8",
     "@rjsf/core": "^6.4.1",
-    "@rjsf/shadcn": "^6.4.1",
+    "@rjsf/shadcn": "^6.5.2",
     "@rjsf/utils": "^6.4.1",
     "@rjsf/validator-ajv8": "^6.4.1",
     "apexcharts": "^3.52.0",

web/public/locales/en/config/cameras.json

@@ -13,7 +13,7 @@
     "description": "Enabled"
   },
   "audio": {
-    "label": "Audio detection",
+    "label": "Audio events",
     "description": "Settings for audio-based event detection for this camera.",
     "enabled": {
       "label": "Enable audio detection",

web/public/locales/en/config/global.json

@@ -539,7 +539,7 @@
     }
   },
   "audio": {
-    "label": "Audio detection",
+    "label": "Audio events",
     "description": "Settings for audio-based event detection for all cameras; can be overridden per-camera.",
     "enabled": {
       "label": "Enable audio detection",

web/public/locales/en/views/live.json

@@ -70,8 +70,7 @@
   },
   "recording": {
     "enable": "Enable Recording",
-    "disable": "Disable Recording",
-    "disabledInConfig": "Recording must first be enabled in Settings for this camera."
+    "disable": "Disable Recording"
   },
   "snapshots": {
     "enable": "Enable Snapshots",

web/public/locales/en/views/settings.json

@@ -49,7 +49,7 @@
     "globalMotion": "Motion detection",
     "globalObjects": "Objects",
     "globalReview": "Review",
-    "globalAudioEvents": "Audio detection",
+    "globalAudioEvents": "Audio events",
     "globalLivePlayback": "Live playback",
     "globalTimestampStyle": "Timestamp style",
     "systemDatabase": "Database",
@@ -80,7 +80,7 @@
     "cameraMotion": "Motion detection",
     "cameraObjects": "Objects",
     "cameraConfigReview": "Review",
-    "cameraAudioEvents": "Audio detection",
+    "cameraAudioEvents": "Audio events",
     "cameraAudioTranscription": "Audio transcription",
     "cameraNotifications": "Notifications",
     "cameraLivePlayback": "Live playback",
@@ -512,14 +512,6 @@
       "inherit": "Inherit",
       "enabled": "Enabled",
       "disabled": "Disabled"
-    },
-    "cameraType": {
-      "title": "Camera Type",
-      "label": "Camera type",
-      "description": "Set the type for each camera. Dedicated LPR cameras are single-purpose cameras with powerful optical zoom to capture license plates on distant vehicles. Most cameras should use the normal camera type unless the camera is specifically for LPR and has a tightly focused view on license plates.",
-      "normal": "Normal",
-      "dedicatedLpr": "Dedicated LPR",
-      "saveSuccess": "Updated camera type for {{cameraName}}. Restart Frigate to apply the changes."
     }
   },
   "cameraReview": {
@@ -1651,8 +1643,7 @@
     "review": {
       "recordDisabled": "Recording is disabled, review items will not be generated.",
       "detectDisabled": "Object detection is disabled. Review items require detected objects to categorize alerts and detections.",
-      "allNonAlertDetections": "All non-alert activity will be included as detections.",
-      "genaiImageSourceRecordingsRecordDisabled": "Image source is set to 'recordings', but recording is disabled. Frigate will fall back to preview images."
+      "allNonAlertDetections": "All non-alert activity will be included as detections."
     },
     "audio": {
       "noAudioRole": "No streams have the audio role defined. You must enable the audio role for audio detection to function."
@@ -1661,21 +1652,15 @@
       "audioDetectionDisabled": "Audio detection is not enabled for this camera. Audio transcription requires audio detection to be active."
     },
     "detect": {
-      "fpsGreaterThanFive": "Setting the detect FPS higher than 5 is not recommended. Higher values may cause performance issues and will not provide any benefit.",
-      "disabled": "Object detection is disabled. Snapshots, review items, and enrichments such as face recognition, license plate recognition, and Generative AI will not function."
-    },
-    "objects": {
-      "genaiNoDescriptionsProvider": "You must configure a GenAI provider with the 'descriptions' role for descriptions to be generated."
+      "fpsGreaterThanFive": "Setting the detect FPS higher than 5 is not recommended."
     },
     "faceRecognition": {
-      "globalDisabled": "The face recognition enrichment must be enabled for face recognition features to function on this camera.",
-      "personNotTracked": "Face recognition requires the 'person' object to be tracked. Enable 'person' in Objects for this camera.",
-      "modelSizeLarge": "The 'large' model requires a GPU or NPU for reasonable performance. Use 'small' on CPU-only systems."
+      "globalDisabled": "Face recognition is not enabled at the global level. Enable it in global settings for camera-level face recognition to function.",
+      "personNotTracked": "Face recognition requires the 'person' object to be tracked. Ensure 'person' is in the object tracking list."
     },
     "lpr": {
-      "globalDisabled": "The license plate recognition enrichment must be enabled for LPR features to function on this camera.",
-      "vehicleNotTracked": "License plate recognition requires 'car' or 'motorcycle' to be tracked. Enable 'car' or 'motorcycle' in Objects for this camera.",
-      "modelSizeLarge": "The 'large' model is optimized for multi-line license plates. The 'small' model provides better performance over 'large' and should be used unless your region uses multi-line plate formats."
+      "globalDisabled": "License plate recognition is not enabled at the global level. Enable it in global settings for camera-level LPR to function.",
+      "vehicleNotTracked": "License plate recognition requires 'car' or 'motorcycle' to be tracked."
     },
     "record": {
       "noRecordRole": "No streams have the record role defined. Recording will not function."
@@ -1689,9 +1674,6 @@
     "detectors": {
       "mixedTypes": "All detectors must use the same type. Remove existing detectors to use a different type.",
       "mixedTypesSuggestion": "All detectors must use the same type. Remove existing detectors or select {{type}}."
-    },
-    "semanticSearch": {
-      "jinav2SmallModelSize": "The 'small' size with the Jina V2 model has high RAM and inference cost. The 'large' model with a discrete GPU is recommended."
     }
   }
 }

web/public/locales/en/views/system.json

@@ -177,9 +177,6 @@
       }
     },
     "framesAndDetections": "Frames / Detections",
-    "noCameras": {
-      "title": "No Cameras Found"
-    },
     "label": {
       "camera": "camera",
       "detect": "detect",

web/src/api/WsProvider.tsx

@@ -56,14 +56,7 @@ export function WsProvider({ children }: { children: ReactNode }) {
       if (reconnectTimer.current) {
         clearTimeout(reconnectTimer.current);
       }
-      const ws = wsRef.current;
-      if (ws) {
-        ws.onopen = null;
-        ws.onmessage = null;
-        ws.onclose = null;
-        ws.onerror = null;
-        ws.close();
-      }
+      wsRef.current?.close();
       resetWsStore();
     };
   }, [wsUrl]);

web/src/components/config-form/section-configs/audio_transcription.ts

@@ -10,11 +10,7 @@ const audioTranscription: SectionConfigOverrides = {
         severity: "warning",
         condition: (ctx) => {
           if (ctx.level === "camera" && ctx.fullCameraConfig) {
-            return (
-              !ctx.fullCameraConfig.ffmpeg?.inputs?.some((input) =>
-                input.roles?.includes("audio"),
-              ) || ctx.fullCameraConfig.audio.enabled === false
-            );
+            return ctx.fullCameraConfig.audio.enabled === false;
           }
           return false;
         },

web/src/components/config-form/section-configs/detect.ts

@@ -3,15 +3,6 @@ import type { SectionConfigOverrides } from "./types";
 const detect: SectionConfigOverrides = {
   base: {
     sectionDocs: "/configuration/camera_specific",
-    messages: [
-      {
-        key: "detect-disabled",
-        messageKey: "configMessages.detect.disabled",
-        severity: "info",
-        condition: (ctx) =>
-          ctx.level === "camera" && ctx.formData?.enabled === false,
-      },
-    ],
     fieldMessages: [
       {
         key: "fps-greater-than-five",
@@ -21,7 +12,6 @@ const detect: SectionConfigOverrides = {
         position: "after",
         condition: (ctx) => {
           if (ctx.level !== "camera" || !ctx.fullCameraConfig) return false;
-          if (ctx.fullCameraConfig.type === "lpr") return false;
           const detectFps = ctx.formData?.fps as number | undefined;
           const streamFps = ctx.fullCameraConfig.detect?.fps;
           return detectFps != null && streamFps != null && detectFps > 5;

web/src/components/config-form/section-configs/face_recognition.ts

@@ -53,21 +53,6 @@ const faceRecognition: SectionConfigOverrides = {
       "device",
     ],
     restartRequired: ["enabled", "model_size", "device"],
-    fieldMessages: [
-      {
-        key: "model-size-large",
-        field: "model_size",
-        messageKey: "configMessages.faceRecognition.modelSizeLarge",
-        severity: "info",
-        position: "after",
-        condition: (ctx) => ctx.formData?.model_size === "large",
-      },
-    ],
-    uiSchema: {
-      model_size: {
-        "ui:options": { size: "xs" },
-      },
-    },
   },
 };
 

web/src/components/config-form/section-configs/lpr.ts

@@ -65,16 +65,6 @@ const lpr: SectionConfigOverrides = {
       "replace_rules",
     ],
     restartRequired: ["model_size", "enhancement", "device"],
-    fieldMessages: [
-      {
-        key: "model-size-large",
-        field: "model_size",
-        messageKey: "configMessages.lpr.modelSizeLarge",
-        severity: "info",
-        position: "after",
-        condition: (ctx) => ctx.formData?.model_size === "large",
-      },
-    ],
     uiSchema: {
       format: {
         "ui:options": { size: "md" },
@@ -93,9 +83,6 @@ const lpr: SectionConfigOverrides = {
           suppressDescription: true,
         },
       },
-      model_size: {
-        "ui:options": { size: "xs" },
-      },
     },
   },
 };

web/src/components/config-form/section-configs/objects.ts

@@ -1,42 +1,8 @@
-import type { FrigateConfig } from "@/types/frigateConfig";
 import type { SectionConfigOverrides } from "./types";
 
-// Attribute labels (face, license_plate, Frigate+ couriers like DHL/Amazon,
-// etc.) are populated into objects.filters by the backend even when the
-// model can't actually detect them. They aren't user-settable, so hide any
-// `filters.<attr>` patterns from forms and override comparisons.
-const hideAttributeFilters = (config: FrigateConfig): string[] =>
-  (config.model?.all_attributes ?? []).map((attr) => `filters.${attr}`);
-
 const objects: SectionConfigOverrides = {
   base: {
     sectionDocs: "/configuration/object_filters",
-    messages: [
-      {
-        key: "detect-disabled",
-        messageKey: "configMessages.detect.disabled",
-        severity: "info",
-        condition: (ctx) =>
-          ctx.level === "camera" &&
-          ctx.fullCameraConfig?.detect?.enabled === false,
-      },
-    ],
-    fieldMessages: [
-      {
-        key: "genai-no-descriptions-provider",
-        field: "genai.enabled",
-        messageKey: "configMessages.objects.genaiNoDescriptionsProvider",
-        severity: "warning",
-        position: "before",
-        condition: (ctx) => {
-          const providers = ctx.fullConfig.genai;
-          if (!providers || Object.keys(providers).length === 0) return true;
-          return !Object.values(providers).some((agent) =>
-            agent.roles?.includes("descriptions"),
-          );
-        },
-      },
-    ],
     fieldDocs: {
       "filters.min_area": "/configuration/object_filters#object-area",
       "filters.max_area": "/configuration/object_filters#object-area",
@@ -60,7 +26,6 @@ const objects: SectionConfigOverrides = {
       "filters.*.raw_mask",
       "filters.mask",
       "filters.raw_mask",
-      hideAttributeFilters,
     ],
     advancedFields: ["genai"],
     uiSchema: {
@@ -134,7 +99,6 @@ const objects: SectionConfigOverrides = {
       "filters.mask",
       "filters.raw_mask",
       "genai.required_zones",
-      hideAttributeFilters,
     ],
   },
   camera: {
@@ -159,7 +123,6 @@ const objects: SectionConfigOverrides = {
       "filters.*.raw_mask",
       "filters.mask",
       "filters.raw_mask",
-      hideAttributeFilters,
     ],
     advancedFields: [],
   },

web/src/components/config-form/section-configs/review.ts

@@ -41,38 +41,6 @@ const review: SectionConfigOverrides = {
           return !Array.isArray(labels) || labels.length === 0;
         },
       },
-      {
-        key: "genai-no-descriptions-provider",
-        field: "genai.enabled",
-        messageKey: "configMessages.objects.genaiNoDescriptionsProvider",
-        severity: "warning",
-        position: "before",
-        condition: (ctx) => {
-          const providers = ctx.fullConfig.genai;
-          if (!providers || Object.keys(providers).length === 0) return true;
-          return !Object.values(providers).some((agent) =>
-            agent.roles?.includes("descriptions"),
-          );
-        },
-      },
-      {
-        key: "genai-image-source-recordings-record-disabled",
-        field: "genai.image_source",
-        messageKey:
-          "configMessages.review.genaiImageSourceRecordingsRecordDisabled",
-        severity: "warning",
-        position: "after",
-        condition: (ctx) => {
-          const genai = ctx.formData?.genai as
-            | Record<string, unknown>
-            | undefined;
-          if (genai?.image_source !== "recordings") return false;
-          if (ctx.level === "camera" && ctx.fullCameraConfig) {
-            return ctx.fullCameraConfig.record?.enabled === false;
-          }
-          return ctx.fullConfig.record?.enabled === false;
-        },
-      },
     ],
     fieldDocs: {
       "alerts.labels": "/configuration/review/#alerts-and-detections",

web/src/components/config-form/section-configs/semantic_search.ts

@@ -18,18 +18,6 @@ const semanticSearch: SectionConfigOverrides = {
     advancedFields: ["reindex", "device"],
     restartRequired: ["enabled", "model", "model_size", "device"],
     hiddenFields: ["reindex"],
-    fieldMessages: [
-      {
-        key: "jinav2-small-model-size",
-        field: "model_size",
-        messageKey: "configMessages.semanticSearch.jinav2SmallModelSize",
-        severity: "warning",
-        position: "after",
-        condition: (ctx) =>
-          ctx.formData?.model === "jinav2" &&
-          ctx.formData?.model_size === "small",
-      },
-    ],
     uiSchema: {
       model: {
         "ui:widget": "semanticSearchModel",

web/src/components/config-form/sections/BaseSection.tsx

@@ -9,7 +9,7 @@ import {
   useRef,
   useContext,
 } from "react";
-import useSWR, { mutate as swrMutate } from "swr";
+import useSWR from "swr";
 import axios from "axios";
 import { toast } from "sonner";
 import { useTranslation } from "react-i18next";
@@ -22,7 +22,6 @@ import {
   modifySchemaForSection,
   getEffectiveDefaultsForSection,
   sanitizeOverridesForSection,
-  synthesizeMissingObjectFilters,
 } from "./section-special-cases";
 import { getSectionValidation } from "../section-validations";
 import { useConfigOverride } from "@/hooks/use-config-override";
@@ -59,11 +58,7 @@ import {
 } from "@/components/ui/alert-dialog";
 import { applySchemaDefaults } from "@/lib/config-schema";
 import { cn } from "@/lib/utils";
-import {
-  ConfigSectionData,
-  HiddenFieldEntry,
-  JsonValue,
-} from "@/types/configForm";
+import { ConfigSectionData, JsonValue } from "@/types/configForm";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import { StatusBarMessagesContext } from "@/context/statusbar-provider";
 import {
@@ -73,7 +68,6 @@ import {
   buildConfigDataForPath,
   flattenOverrides,
   getBaseCameraSectionValue,
-  resolveHiddenFieldEntries,
   sanitizeSectionData as sharedSanitizeSectionData,
   requiresRestartForOverrides as sharedRequiresRestartForOverrides,
 } from "@/utils/configUtil";
@@ -96,7 +90,7 @@ export interface SectionConfig {
   /** Fields to group together */
   fieldGroups?: Record<string, string[]>;
   /** Fields to hide from UI */
-  hiddenFields?: HiddenFieldEntry[];
+  hiddenFields?: string[];
   /** Fields to show in advanced section */
   advancedFields?: string[];
   /** Fields to compare for override detection */
@@ -363,34 +357,25 @@ export function ConfigSection({
     return get(config, sectionPath);
   }, [config, cameraName, sectionPath, effectiveLevel, profileName]);
 
-  const rawFormData = useMemo<ConfigSectionData>(() => {
+  const rawFormData = useMemo(() => {
     if (!config) return {};
 
     if (rawSectionValue === undefined || rawSectionValue === null) {
       return {};
     }
 
-    return synthesizeMissingObjectFilters(
-      sectionPath,
-      rawSectionValue,
-      modifiedSchema ?? undefined,
-    ) as ConfigSectionData;
-  }, [config, rawSectionValue, sectionPath, modifiedSchema]);
+    return rawSectionValue;
+  }, [config, rawSectionValue]);
 
   // When editing a profile, hide fields that require a restart since they
   // cannot take effect via profile switching alone.
   const effectiveHiddenFields = useMemo(() => {
-    const base = resolveHiddenFieldEntries(sectionConfig.hiddenFields, config);
     if (!profileName || !sectionConfig.restartRequired?.length) {
-      return base;
+      return sectionConfig.hiddenFields;
     }
+    const base = sectionConfig.hiddenFields ?? [];
     return [...new Set([...base, ...sectionConfig.restartRequired])];
-  }, [
-    profileName,
-    sectionConfig.hiddenFields,
-    sectionConfig.restartRequired,
-    config,
-  ]);
+  }, [profileName, sectionConfig.hiddenFields, sectionConfig.restartRequired]);
 
   const sanitizeSectionData = useCallback(
     (data: ConfigSectionData) =>
@@ -402,7 +387,7 @@ export function ConfigSection({
     const baseData = modifiedSchema
       ? applySchemaDefaults(modifiedSchema, rawFormData)
       : rawFormData;
-    return sanitizeSectionData(baseData as ConfigSectionData);
+    return sanitizeSectionData(baseData);
   }, [rawFormData, modifiedSchema, sanitizeSectionData]);
 
   const baselineSnapshot = useMemo(() => {
@@ -758,7 +743,6 @@ export function ConfigSection({
       }
 
       await refreshConfig();
-      swrMutate("config/raw_paths");
       setPendingData(null);
       onSave?.();
     } catch (error) {

web/src/components/config-form/sections/CameraOverridesBadge.tsx

@@ -20,7 +20,7 @@ import type { ProfilesApiResponse } from "@/types/profile";
 import { humanizeKey } from "@/components/config-form/theme/utils/i18n";
 import { useCameraFriendlyName } from "@/hooks/use-camera-friendly-name";
 import { formatList } from "@/utils/stringUtil";
-import { getEffectiveHiddenFields } from "@/utils/configUtil";
+import { getSectionConfig } from "@/utils/configUtil";
 
 const CAMERA_PAGE_BY_SECTION: Record<string, string> = {
   detect: "cameraDetect",
@@ -43,33 +43,17 @@ const CAMERA_PAGE_BY_SECTION: Record<string, string> = {
 const MAX_FIELDS_PER_CAMERA = 5;
 
 /**
- * Sections where the cross-camera override badge should be suppressed.
- * Includes enrichment sections that aren't meaningfully per-camera
- * (face recognition and LPR are intentionally omitted so the badge does show
- * there) and every System sub-page (detector hardware, database, networking,
- * etc.) which configures Frigate as a whole, not per-camera state.
+ * Enrichment sections where the cross-camera override badge should be
+ * suppressed because they're effectively global-only (or per-camera
+ * configuration there isn't a useful affordance to surface here).
+ * Face recognition and LPR are intentionally omitted so the badge does show
+ * on those enrichment pages.
  */
 const SECTIONS_WITHOUT_OVERRIDE_BADGE = new Set([
-  // Enrichments (face_recognition and lpr remain enabled)
   "semantic_search",
   "genai",
   "classification",
   "audio_transcription",
-  // System
-  "go2rtc_streams",
-  "database",
-  "mqtt",
-  "tls",
-  "auth",
-  "networking",
-  "proxy",
-  "ui",
-  "logger",
-  "environment_vars",
-  "telemetry",
-  "birdseye",
-  "detectors",
-  "model",
 ]);
 
 /**
@@ -247,11 +231,8 @@ export function CameraOverridesBadge({ sectionPath, className }: Props) {
   const rawEntries = useCamerasOverridingSection(config, sectionPath);
 
   const entries = useMemo(() => {
-    const hiddenFields = getEffectiveHiddenFields(
-      sectionPath,
-      "global",
-      config,
-    );
+    const hiddenFields =
+      getSectionConfig(sectionPath, "global").hiddenFields ?? [];
     if (hiddenFields.length === 0) return rawEntries;
     return rawEntries
       .map((entry) => ({
@@ -264,7 +245,7 @@ export function CameraOverridesBadge({ sectionPath, className }: Props) {
         ),
       }))
       .filter((entry) => entry.fieldDeltas.length > 0);
-  }, [rawEntries, sectionPath, config]);
+  }, [rawEntries, sectionPath]);
 
   if (SECTIONS_WITHOUT_OVERRIDE_BADGE.has(sectionPath)) {
     return null;

web/src/components/config-form/sections/section-special-cases.ts

@@ -15,7 +15,7 @@ import { JsonObject, JsonValue } from "@/types/configForm";
  * Sections that require special handling at the global level.
  * Add new section paths here as needed.
  */
-const SPECIAL_CASE_SECTIONS = ["motion", "detectors", "genai"] as const;
+const SPECIAL_CASE_SECTIONS = ["motion", "detectors"] as const;
 
 /**
  * Check if a section requires special case handling.
@@ -53,29 +53,6 @@ export function modifySchemaForSection(
     return schemaWithoutDefault;
   }
 
-  if (sectionPath === "genai") {
-    const additional = schema.additionalProperties;
-    if (
-      additional &&
-      typeof additional === "object" &&
-      !Array.isArray(additional)
-    ) {
-      const props = (additional as RJSFSchema).properties;
-      if (props && typeof props.provider === "object") {
-        return {
-          ...schema,
-          additionalProperties: {
-            ...additional,
-            properties: {
-              ...props,
-              provider: { ...(props.provider as object), default: "openai" },
-            },
-          },
-        };
-      }
-    }
-  }
-
   return schema;
 }
 
@@ -128,51 +105,6 @@ export function getEffectiveDefaultsForSection(
   return schemaDefaults;
 }
 
-/**
- * Add default filter entries for any label in `objects.track` that isn't
- * already in `objects.filters`, so each tracked label gets a collapsible.
- * The backend only auto-populates filters at config init, not after profile
- * merges.
- */
-export function synthesizeMissingObjectFilters(
-  sectionPath: string,
-  data: unknown,
-  sectionSchema: RJSFSchema | undefined,
-): unknown {
-  if (sectionPath !== "objects") return data;
-  if (!isJsonObject(data)) return data;
-
-  const trackValue = (data as JsonObject).track;
-  if (!Array.isArray(trackValue) || trackValue.length === 0) return data;
-
-  const properties = (sectionSchema as { properties?: Record<string, unknown> })
-    ?.properties;
-  const filtersSchema = isJsonObject(properties)
-    ? (properties.filters as { additionalProperties?: unknown } | undefined)
-    : undefined;
-  const filterEntrySchema = isJsonObject(filtersSchema?.additionalProperties)
-    ? (filtersSchema.additionalProperties as RJSFSchema)
-    : undefined;
-
-  const existingFilters = isJsonObject((data as JsonObject).filters)
-    ? ((data as JsonObject).filters as JsonObject)
-    : {};
-
-  const newFilters: JsonObject = { ...existingFilters };
-  let added = false;
-  for (const label of trackValue) {
-    if (typeof label !== "string") continue;
-    if (Object.prototype.hasOwnProperty.call(newFilters, label)) continue;
-    newFilters[label] = (
-      filterEntrySchema ? applySchemaDefaults(filterEntrySchema, {}) : {}
-    ) as JsonValue;
-    added = true;
-  }
-
-  if (!added) return data;
-  return { ...(data as JsonObject), filters: newFilters };
-}
-
 /**
  * Sanitize overrides payloads for section-specific quirks.
  */

web/src/hooks/use-config-override.ts

@@ -1,21 +1,12 @@
 // Hook to detect when camera config overrides global defaults
 import { useMemo } from "react";
-import useSWR from "swr";
-import cloneDeep from "lodash/cloneDeep";
 import isEqual from "lodash/isEqual";
 import get from "lodash/get";
 import set from "lodash/set";
-import type { RJSFSchema } from "@rjsf/utils";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { JsonObject, JsonValue } from "@/types/configForm";
 import { isJsonObject } from "@/lib/utils";
-import {
-  getBaseCameraSectionValue,
-  getEffectiveHiddenFields,
-  unsetWithWildcard,
-} from "@/utils/configUtil";
-import { extractSectionSchema } from "@/hooks/use-config-schema";
-import { applySchemaDefaults } from "@/lib/config-schema";
+import { getBaseCameraSectionValue } from "@/utils/configUtil";
 
 const INTERNAL_FIELD_SUFFIXES = ["enabled_in_config", "raw_mask"];
 
@@ -43,51 +34,6 @@ export function normalizeConfigValue(value: unknown): JsonValue {
   return stripInternalFields(value as JsonValue);
 }
 
-/**
- * Remove hidden-field paths from a value before comparison so fields the
- * user can't change in the UI (e.g. motion masks, attribute filters) don't
- * trigger override badges. Operates on a clone so the input is unchanged.
- */
-function stripHiddenPaths(value: JsonValue, hiddenFields: string[]): JsonValue {
-  if (hiddenFields.length === 0 || !isJsonObject(value)) return value;
-  const cloned = cloneDeep(value) as JsonObject;
-  for (const path of hiddenFields) {
-    if (!path) continue;
-    unsetWithWildcard(cloned as Record<string, unknown>, path);
-  }
-  return cloned;
-}
-
-/**
- * Collapse null and empty-object values for override comparisons so
- * semantically equivalent shapes match. The schema may default `mask: None`
- * while the runtime camera config carries `mask: {}` — both mean "no
- * masks", so collapsing them here keeps the equality check honest. We
- * keep this off the public `normalizeConfigValue` so save-flow code paths
- * (which serialize form data) aren't affected.
- **/
-function collapseEmpty(value: JsonValue): JsonValue {
-  if (Array.isArray(value)) {
-    return value.map(collapseEmpty);
-  }
-  if (isJsonObject(value)) {
-    const cleaned: JsonObject = {};
-    for (const [key, val] of Object.entries(value as JsonObject)) {
-      if (val === null || val === undefined) continue;
-      const collapsed = collapseEmpty(val as JsonValue);
-      if (
-        isJsonObject(collapsed) &&
-        Object.keys(collapsed as JsonObject).length === 0
-      ) {
-        continue;
-      }
-      cleaned[key] = collapsed;
-    }
-    return cleaned;
-  }
-  return value;
-}
-
 export interface OverrideStatus {
   /** Whether the field is overridden from global */
   isOverridden: boolean;
@@ -150,7 +96,6 @@ export function useConfigOverride({
   sectionPath,
   compareFields,
 }: UseConfigOverrideOptions) {
-  const { data: schema } = useSWR<RJSFSchema>("config/schema.json");
   return useMemo(() => {
     if (!config) {
       return {
@@ -208,42 +153,15 @@ export function useConfigOverride({
       sectionPath,
     );
 
-    // Use the effective baseline (schema defaults when the global section
-    // is unset, e.g. motion). Without this, sections omitted from the global
-    // YAML would always read as "overridden" because the raw global value is
-    // null while every camera has populated defaults.
-    const normalizedGlobalValue = getEffectiveGlobalBaseline(
-      config,
-      sectionPath,
-      compareFields,
-      schema,
-    );
+    const normalizedGlobalValue = normalizeConfigValue(globalValue);
     const normalizedCameraValue = normalizeConfigValue(cameraValue);
 
-    // Collapse empty/null values for comparison so semantically equivalent
-    // shapes (e.g. schema default `mask: null` vs runtime `mask: {}`) match.
-    // Also strip hidden-field paths (motion masks, attribute filters, etc.)
-    // so fields the user can't edit in the UI don't trigger override badges.
-    const hiddenFields = getEffectiveHiddenFields(
-      sectionPath,
-      "camera",
-      config,
-    );
-    const collapsedGlobal = stripHiddenPaths(
-      collapseEmpty(normalizedGlobalValue),
-      hiddenFields,
-    );
-    const collapsedCamera = stripHiddenPaths(
-      collapseEmpty(normalizedCameraValue),
-      hiddenFields,
-    );
-
     const comparisonGlobal = compareFields
-      ? pickFields(collapsedGlobal, compareFields)
-      : collapsedGlobal;
+      ? pickFields(normalizedGlobalValue, compareFields)
+      : normalizedGlobalValue;
     const comparisonCamera = compareFields
-      ? pickFields(collapsedCamera, compareFields)
-      : collapsedCamera;
+      ? pickFields(normalizedCameraValue, compareFields)
+      : normalizedCameraValue;
 
     // Check if the entire section is overridden
     const isOverridden = compareFields
@@ -258,10 +176,7 @@ export function useConfigOverride({
       const cameraFieldValue = get(normalizedCameraValue, fieldPath);
 
       return {
-        isOverridden: !isEqual(
-          collapseEmpty(globalFieldValue as JsonValue),
-          collapseEmpty(cameraFieldValue as JsonValue),
-        ),
+        isOverridden: !isEqual(globalFieldValue, cameraFieldValue),
         globalValue: globalFieldValue,
         cameraValue: cameraFieldValue,
       };
@@ -284,7 +199,7 @@ export function useConfigOverride({
       getFieldOverride,
       resetToGlobal,
     };
-  }, [config, cameraName, sectionPath, compareFields, schema]);
+  }, [config, cameraName, sectionPath, compareFields]);
 }
 
 /**
@@ -337,7 +252,6 @@ export function useAllCameraOverrides(
   config: FrigateConfig | undefined,
   cameraName: string | undefined,
 ) {
-  const { data: schema } = useSWR<RJSFSchema>("config/schema.json");
   return useMemo(() => {
     if (!config || !cameraName) {
       return [];
@@ -351,31 +265,17 @@ export function useAllCameraOverrides(
     const overriddenSections: string[] = [];
 
     for (const { key, compareFields } of OVERRIDABLE_SECTIONS) {
-      const globalValue = getEffectiveGlobalBaseline(
-        config,
-        key,
-        compareFields,
-        schema,
-      );
+      const globalValue = normalizeConfigValue(get(config, key));
       const cameraValue = normalizeConfigValue(
         getBaseCameraSectionValue(config, cameraName, key),
       );
 
-      const hiddenFields = getEffectiveHiddenFields(key, "camera", config);
-      const collapsedGlobal = stripHiddenPaths(
-        collapseEmpty(globalValue),
-        hiddenFields,
-      );
-      const collapsedCamera = stripHiddenPaths(
-        collapseEmpty(cameraValue),
-        hiddenFields,
-      );
       const comparisonGlobal = compareFields
-        ? pickFields(collapsedGlobal, compareFields)
-        : collapsedGlobal;
+        ? pickFields(globalValue, compareFields)
+        : globalValue;
       const comparisonCamera = compareFields
-        ? pickFields(collapsedCamera, compareFields)
-        : collapsedCamera;
+        ? pickFields(cameraValue, compareFields)
+        : cameraValue;
 
       if (
         compareFields && compareFields.length === 0
@@ -387,7 +287,7 @@ export function useAllCameraOverrides(
     }
 
     return overriddenSections;
-  }, [config, cameraName, schema]);
+  }, [config, cameraName]);
 }
 
 export interface FieldDelta {
@@ -486,40 +386,14 @@ function isPathAllowed(path: string, compareFields?: string[]): boolean {
 }
 
 /**
- * Resolve the effective global baseline used for override comparisons.
- *
- * - When the global section is explicitly set, return it (normalized).
- * - Otherwise prefer the camera-level schema defaults so a camera that
- *   diverges from the implicit Pydantic default registers as overriding
- *   even with a single camera in the deployment. (Sections like `motion`
- *   are dumped with `exclude_unset=True`, so the API returns null whenever
- *   the user hasn't written the section globally.)
- * - Fall back to a modal-across-cameras synthetic baseline when the schema
- *   hasn't loaded yet or the section isn't in it.
+ * Some Frigate sections (notably `motion`) are dumped by the backend with
+ * `exclude_unset=True`, so when the user hasn't explicitly written the section
+ * in their global YAML the API returns null even though every camera still
+ * gets defaults applied at runtime. To still detect cross-camera differences
+ * in those sections we synthesize a baseline by taking the modal (most common)
+ * value at each leaf path across cameras — cameras whose value diverges from
+ * the modal are treated as overriding.
  */
-function getEffectiveGlobalBaseline(
-  config: FrigateConfig,
-  sectionPath: string,
-  compareFields?: string[],
-  schema?: RJSFSchema,
-): JsonValue {
-  const rawGlobalValue = get(config, sectionPath);
-  if (rawGlobalValue != null) {
-    return normalizeConfigValue(rawGlobalValue);
-  }
-  if (schema) {
-    const sectionSchema = extractSectionSchema(schema, sectionPath, "camera");
-    if (sectionSchema) {
-      const defaults = applySchemaDefaults(sectionSchema, {});
-      return normalizeConfigValue(defaults as JsonValue);
-    }
-  }
-  const cameraSectionValues = Object.keys(config.cameras ?? {}).map((name) =>
-    normalizeConfigValue(getBaseCameraSectionValue(config, name, sectionPath)),
-  );
-  return deriveSyntheticGlobalValue(cameraSectionValues, compareFields);
-}
-
 function deriveSyntheticGlobalValue(
   cameraSectionValues: JsonValue[],
   compareFields?: string[],
@@ -587,7 +461,6 @@ export function useCamerasOverridingSection(
   config: FrigateConfig | undefined,
   sectionPath: string,
 ): CameraOverrideEntry[] {
-  const { data: schema } = useSWR<RJSFSchema>("config/schema.json");
   return useMemo(() => {
     if (!config?.cameras || !sectionPath) {
       return [];
@@ -603,9 +476,11 @@ export function useCamerasOverridingSection(
       ),
     );
 
-    const globalValue = collapseEmpty(
-      getEffectiveGlobalBaseline(config, sectionPath, compareFields, schema),
-    );
+    const rawGlobalValue = get(config, sectionPath);
+    const globalValue: JsonValue =
+      rawGlobalValue == null
+        ? deriveSyntheticGlobalValue(cameraSectionValues, compareFields)
+        : normalizeConfigValue(rawGlobalValue);
 
     const entries: CameraOverrideEntry[] = [];
     for (let idx = 0; idx < cameraNames.length; idx += 1) {
@@ -614,7 +489,7 @@ export function useCamerasOverridingSection(
       const deltasByPath = new Map<string, FieldDelta>();
 
       // 1. Camera-level overrides (uses base_config when a profile is active)
-      const cameraValue = collapseEmpty(cameraSectionValues[idx]);
+      const cameraValue = cameraSectionValues[idx];
       for (const delta of collectFieldDeltas(
         globalValue,
         cameraValue,
@@ -661,5 +536,5 @@ export function useCamerasOverridingSection(
     }
 
     return entries;
-  }, [config, sectionPath, schema]);
+  }, [config, sectionPath]);
 }

web/src/hooks/use-config-schema.ts

@@ -24,7 +24,7 @@ const getSchemaDefinitions = (schema: RJSFSchema): Record<string, RJSFSchema> =>
  * Extracts and resolves a section schema from the full config schema
  * Uses caching to avoid repeated expensive resolution
  */
-export function extractSectionSchema(
+function extractSectionSchema(
   schema: RJSFSchema,
   sectionPath: string,
   level: "global" | "camera",

web/src/hooks/use-optimistic-state.ts

@@ -1,4 +1,4 @@
-import { useState, useEffect, useCallback } from "react";
+import { useState, useEffect, useCallback, useRef } from "react";
 
 type OptimisticStateResult<T> = [T, (newValue: T) => void];
 
@@ -8,32 +8,37 @@ const useOptimisticState = <T>(
   delay: number = 20,
 ): OptimisticStateResult<T> => {
   const [optimisticValue, setOptimisticValue] = useState<T>(currentState);
+  const debounceTimeout = useRef<ReturnType<typeof setTimeout> | null>(null);
 
-  const handleValueChange = useCallback((newValue: T) => {
-    // Update the optimistic value immediately
-    setOptimisticValue(newValue);
+  const handleValueChange = useCallback(
+    (newValue: T) => {
+      // Update the optimistic value immediately
+      setOptimisticValue(newValue);
+
+      // Clear any pending debounce timeout
+      if (debounceTimeout.current) {
+        clearTimeout(debounceTimeout.current);
+      }
+
+      // Set a new debounce timeout
+      debounceTimeout.current = setTimeout(() => {
+        // Update the actual value using the provided setter function
+        setState(newValue);
+      }, delay);
+    },
+    [delay, setState],
+  );
+
+  useEffect(() => {
+    return () => {
+      if (debounceTimeout.current) {
+        clearTimeout(debounceTimeout.current);
+      }
+    };
   }, []);
 
-  // Push the optimistic value to the real setter after the delay. Scoping
-  // this to an effect keyed on optimisticValue ensures the cleanup only
-  // cancels the timer for the value it scheduled — so StrictMode's
-  // effect-rerun (and future re-running mechanisms) reschedules cleanly
-  // instead of dropping the pending update on the floor.
   useEffect(() => {
-    if (Object.is(optimisticValue, currentState)) {
-      return;
-    }
-    const id = setTimeout(() => setState(optimisticValue), delay);
-    return () => clearTimeout(id);
-  }, [optimisticValue, currentState, delay, setState]);
-
-  // External updates to currentState should win over a stale optimistic value.
-  // The guard matters under StrictMode: this effect's re-run captures the
-  // *old* currentState in its closure, so without the equality check it
-  // would clobber an optimistic update that another effect (e.g. a search
-  // param sync) made earlier in the same commit.
-  useEffect(() => {
-    if (!Object.is(currentState, optimisticValue)) {
+    if (currentState != optimisticValue) {
       setOptimisticValue(currentState);
     }
     // sometimes an external action will cause the currentState to change

web/src/hooks/use-stats.ts

@@ -89,7 +89,7 @@ export default function useStats(stats: FrigateStats | undefined) {
       }
 
       const cameraName = config.cameras?.[name]?.friendly_name ?? name;
-      if (config.cameras?.[name]?.enabled && cam["camera_fps"] == 0) {
+      if (config.cameras[name].enabled && cam["camera_fps"] == 0) {
         problems.push({
           text: t("stats.cameraIsOffline", {
             camera: capitalizeFirstLetter(capitalizeAll(cameraName)),

web/src/pages/Settings.tsx

@@ -885,7 +885,6 @@ export default function Settings() {
 
     // Refresh config from server once
     await mutate("config");
-    mutate("config/raw_paths");
 
     // Clear hasChanges in sidebar for all successfully saved sections
     if (savedKeys.length > 0) {

web/src/types/configForm.ts

@@ -13,8 +13,6 @@ export type JsonArray = JsonValue[];
 
 export type ConfigSectionData = JsonObject;
 
-export type HiddenFieldEntry = string | ((config: FrigateConfig) => string[]);
-
 export type ConfigFormContext = {
   level?: "global" | "camera";
   cameraName?: string;

web/src/utils/configUtil.ts

@@ -254,10 +254,7 @@ export function flattenOverrides(
 
 // lodash `unset` treats `*` as a literal key.  This helper expands wildcard
 // segments so that e.g. `"filters.*.mask"` unsets `filters.<each key>.mask`.
-export function unsetWithWildcard(
-  obj: Record<string, unknown>,
-  path: string,
-): void {
+function unsetWithWildcard(obj: Record<string, unknown>, path: string): void {
   if (!path.includes("*")) {
     unset(obj, path);
     return;
@@ -590,14 +587,13 @@ export function prepareSectionSavePayload(opts: {
   // For profile sections, also hide restart-required fields to match
   // effectiveHiddenFields in BaseSection (prevents spurious deletion markers
   // for fields that are hidden from the form during profile editing).
-  const resolvedHidden = resolveHiddenFieldEntries(
-    sectionConfig.hiddenFields,
-    config,
-  );
-  const hiddenFieldsForSanitize =
-    profileInfo.isProfile && sectionConfig.restartRequired?.length
-      ? [...new Set([...resolvedHidden, ...sectionConfig.restartRequired])]
-      : resolvedHidden;
+  let hiddenFieldsForSanitize = sectionConfig.hiddenFields;
+  if (profileInfo.isProfile && sectionConfig.restartRequired?.length) {
+    const base = sectionConfig.hiddenFields ?? [];
+    hiddenFieldsForSanitize = [
+      ...new Set([...base, ...sectionConfig.restartRequired]),
+    ];
+  }
 
   // Sanitize raw form data
   const rawData = sanitizeSectionData(
@@ -706,36 +702,3 @@ export function getSectionConfig(
         : entry.camera;
   return mergeSectionConfig(entry.base, overrides);
 }
-
-/**
- * Resolve the effective hidden-field patterns for a section. Each entry in
- * `hiddenFields` is either a literal pattern or a function that produces
- * patterns from the loaded config (e.g. `filters.<attr>` for each
- * `model.all_attributes` entry on the objects section).
- */
-export function getEffectiveHiddenFields(
-  sectionKey: string,
-  level: "global" | "camera" | "replay",
-  config: FrigateConfig | undefined,
-): string[] {
-  return resolveHiddenFieldEntries(
-    getSectionConfig(sectionKey, level).hiddenFields,
-    config,
-  );
-}
-
-export function resolveHiddenFieldEntries(
-  entries: SectionConfig["hiddenFields"] | undefined,
-  config: FrigateConfig | undefined,
-): string[] {
-  if (!entries || entries.length === 0) return [];
-  const result: string[] = [];
-  for (const entry of entries) {
-    if (typeof entry === "function") {
-      if (config) result.push(...entry(config));
-    } else {
-      result.push(entry);
-    }
-  }
-  return result;
-}

web/src/views/events/EventView.tsx

@@ -1136,12 +1136,6 @@ function MotionReview({
   );
   const [isRegionFilterOpen, setIsRegionFilterOpen] = useState(false);
 
-  // reset filter when camera changes
-  useEffect(() => {
-    setMotionFilterCells(new Set());
-    setPendingFilterCells(new Set());
-  }, [motionPreviewsCamera]);
-
   const objectReviewItems = useMemo(
     () =>
       (overlapReviewSegments ?? []).filter(

web/src/views/live/LiveCameraView.tsx

@@ -1072,12 +1072,10 @@ function FrigateCameraFeatures({
               title={
                 recordState == "ON"
                   ? t("recording.disable")
-                  : camera.record.enabled_in_config
-                    ? t("recording.enable")
-                    : t("recording.disabledInConfig")
+                  : t("recording.enable")
               }
               onClick={() => sendRecord(recordState == "ON" ? "OFF" : "ON")}
-              disabled={!cameraEnabled || !camera.record.enabled_in_config}
+              disabled={!cameraEnabled}
             />
             <CameraFeatureToggle
               className="p-2 md:p-0"

web/src/views/settings/CameraManagementView.tsx

@@ -14,10 +14,8 @@ import { useTranslation } from "react-i18next";
 import CameraEditForm from "@/components/settings/CameraEditForm";
 import CameraWizardDialog from "@/components/settings/CameraWizardDialog";
 import DeleteCameraDialog from "@/components/overlay/dialog/DeleteCameraDialog";
-import { LuExternalLink, LuPencil, LuPlus, LuTrash2 } from "react-icons/lu";
+import { LuPencil, LuPlus, LuTrash2 } from "react-icons/lu";
 import { IoMdArrowRoundBack } from "react-icons/io";
-import { Link } from "react-router-dom";
-import { useDocDomain } from "@/hooks/use-doc-domain";
 import { isDesktop } from "react-device-detect";
 import { CameraNameLabel } from "@/components/camera/FriendlyNameLabel";
 import { Switch } from "@/components/ui/switch";
@@ -91,13 +89,6 @@ export default function CameraManagementView({
     return [];
   }, [config]);
 
-  const allCameras = useMemo(() => {
-    if (config) {
-      return Object.keys(config.cameras).sort();
-    }
-    return [];
-  }, [config]);
-
   useEffect(() => {
     document.title = t("documentTitle.cameraManagement");
   }, [t]);
@@ -244,15 +235,6 @@ export default function CameraManagementView({
                       onConfigChanged={updateConfig}
                     />
                   )}
-
-                {config?.lpr?.enabled && allCameras.length > 0 && (
-                  <CameraTypeSection
-                    cameras={allCameras}
-                    config={config}
-                    onConfigChanged={updateConfig}
-                    setRestartDialogOpen={setRestartDialogOpen}
-                  />
-                )}
               </div>
             </>
           ) : (
@@ -313,18 +295,12 @@ type CameraEnableSwitchProps = {
 function CameraEnableSwitch({ cameraName }: CameraEnableSwitchProps) {
   const { payload: enabledState, send: sendEnabled } =
     useEnabledState(cameraName);
-  const { data: config } = useSWR<FrigateConfig>("config");
-
-  const isChecked =
-    enabledState === "ON" || enabledState === "OFF"
-      ? enabledState === "ON"
-      : (config?.cameras?.[cameraName]?.enabled ?? false);
 
   return (
     <div className="flex flex-row items-center">
       <Switch
         id={`camera-enabled-${cameraName}`}
-        checked={isChecked}
+        checked={enabledState === "ON"}
         onCheckedChange={(isChecked) => {
           sendEnabled(isChecked ? "ON" : "OFF");
         }}
@@ -521,196 +497,6 @@ function CameraConfigEnableSwitch({
   );
 }
 
-type CameraTypeSectionProps = {
-  cameras: string[];
-  config: FrigateConfig | undefined;
-  onConfigChanged: () => Promise<unknown>;
-  setRestartDialogOpen: React.Dispatch<React.SetStateAction<boolean>>;
-};
-
-function CameraTypeSection({
-  cameras,
-  config,
-  onConfigChanged,
-  setRestartDialogOpen,
-}: CameraTypeSectionProps) {
-  const { t } = useTranslation([
-    "views/settings",
-    "common",
-    "components/dialog",
-  ]);
-  const { getLocaleDocUrl } = useDocDomain();
-  const [savingCamera, setSavingCamera] = useState<string | null>(null);
-  // Optimistic local state: the parsed config API doesn't reflect type
-  // changes until Frigate restarts, so we track saved values locally.
-  const [localOverrides, setLocalOverrides] = useState<Record<string, string>>(
-    {},
-  );
-
-  const handleTypeChange = useCallback(
-    async (camera: string, value: string) => {
-      setSavingCamera(camera);
-      try {
-        const typeValue = value === "lpr" ? "lpr" : null;
-        await axios.put("config/set", {
-          requires_restart: 1,
-          config_data: {
-            cameras: {
-              [camera]: {
-                type: typeValue,
-              },
-            },
-          },
-        });
-        await onConfigChanged();
-
-        setLocalOverrides((prev) => ({
-          ...prev,
-          [camera]: value,
-        }));
-
-        toast.success(
-          t("cameraManagement.cameraType.saveSuccess", {
-            ns: "views/settings",
-            cameraName: camera,
-          }),
-          {
-            position: "top-center",
-            action: (
-              <a onClick={() => setRestartDialogOpen(true)}>
-                <Button>
-                  {t("restart.button", { ns: "components/dialog" })}
-                </Button>
-              </a>
-            ),
-          },
-        );
-      } catch (error) {
-        const errorMessage =
-          axios.isAxiosError(error) &&
-          (error.response?.data?.message || error.response?.data?.detail)
-            ? error.response?.data?.message || error.response?.data?.detail
-            : t("toast.save.error.noMessage", { ns: "common" });
-
-        toast.error(
-          t("toast.save.error.title", { errorMessage, ns: "common" }),
-          { position: "top-center" },
-        );
-      } finally {
-        setSavingCamera(null);
-      }
-    },
-    [onConfigChanged, setRestartDialogOpen, t],
-  );
-
-  const getCameraType = useCallback(
-    (camera: string): string => {
-      const localValue = localOverrides[camera];
-      if (localValue) return localValue;
-
-      const type = config?.cameras?.[camera]?.type;
-      return type === "lpr" ? "lpr" : "normal";
-    },
-    [config, localOverrides],
-  );
-
-  return (
-    <SettingsGroupCard
-      title={t("cameraManagement.cameraType.title", {
-        ns: "views/settings",
-      })}
-    >
-      <div className={SPLIT_ROW_CLASS_NAME}>
-        <div className="space-y-1.5">
-          <Label>
-            {t("cameraManagement.cameraType.label", {
-              ns: "views/settings",
-            })}
-            <RestartRequiredIndicator className="ml-1" />
-          </Label>
-          <p className="hidden text-sm text-muted-foreground md:block">
-            {t("cameraManagement.cameraType.description", {
-              ns: "views/settings",
-            })}
-          </p>
-          <div className="hidden items-center text-sm text-primary md:flex">
-            <Link
-              to={getLocaleDocUrl(
-                "configuration/license_plate_recognition#dedicated-lpr-cameras",
-              )}
-              target="_blank"
-              rel="noopener noreferrer"
-              className="inline"
-            >
-              {t("readTheDocumentation", { ns: "common" })}
-              <LuExternalLink className="ml-2 inline-flex size-3" />
-            </Link>
-          </div>
-        </div>
-        <div className={`${CONTROL_COLUMN_CLASS_NAME} space-y-1.5`}>
-          <div className="max-w-md space-y-2 rounded-lg bg-secondary p-4">
-            {cameras.map((camera) => {
-              const currentType = getCameraType(camera);
-              const isSaving = savingCamera === camera;
-
-              return (
-                <div
-                  key={camera}
-                  className="flex flex-row items-center justify-between"
-                >
-                  <CameraNameLabel camera={camera} />
-                  {isSaving ? (
-                    <ActivityIndicator className="h-5 w-20" size={16} />
-                  ) : (
-                    <Select
-                      value={currentType}
-                      onValueChange={(v) => handleTypeChange(camera, v)}
-                    >
-                      <SelectTrigger className="h-7 w-full max-w-[140px] text-xs">
-                        <SelectValue />
-                      </SelectTrigger>
-                      <SelectContent>
-                        <SelectItem value="normal">
-                          {t("cameraManagement.cameraType.normal", {
-                            ns: "views/settings",
-                          })}
-                        </SelectItem>
-                        <SelectItem value="lpr">
-                          {t("cameraManagement.cameraType.dedicatedLpr", {
-                            ns: "views/settings",
-                          })}
-                        </SelectItem>
-                      </SelectContent>
-                    </Select>
-                  )}
-                </div>
-              );
-            })}
-          </div>
-          <p className="text-sm text-muted-foreground md:hidden">
-            {t("cameraManagement.cameraType.description", {
-              ns: "views/settings",
-            })}
-          </p>
-          <div className="flex items-center text-sm text-primary md:hidden">
-            <Link
-              to={getLocaleDocUrl(
-                "configuration/license_plate_recognition#dedicated-lpr-cameras",
-              )}
-              target="_blank"
-              rel="noopener noreferrer"
-              className="inline"
-            >
-              {t("readTheDocumentation", { ns: "common" })}
-              <LuExternalLink className="ml-2 inline-flex size-3" />
-            </Link>
-          </div>
-        </div>
-      </div>
-    </SettingsGroupCard>
-  );
-}
-
 type ProfileCameraEnableSectionProps = {
   profileState: ProfileState;
   cameras: string[];

web/src/views/system/CameraMetrics.tsx

@@ -2,7 +2,6 @@ import { useFrigateStats } from "@/api/ws";
 import { CameraLineGraph } from "@/components/graph/LineGraph";
 import CameraInfoDialog from "@/components/overlay/CameraInfoDialog";
 import { ConnectionQualityIndicator } from "@/components/camera/ConnectionQualityIndicator";
-import { EmptyCard } from "@/components/card/EmptyCard";
 import { Skeleton } from "@/components/ui/skeleton";
 import { FrigateConfig } from "@/types/frigateConfig";
 import { FrigateStats } from "@/types/stats";
@@ -14,7 +13,6 @@ import {
   useMemo,
   useState,
 } from "react";
-import { BsFillCameraVideoOffFill } from "react-icons/bs";
 import { MdInfo } from "react-icons/md";
 import {
   Tooltip,
@@ -175,7 +173,7 @@ export default function CameraMetrics({
       }
 
       Object.entries(stats.cameras).forEach(([key, camStats]) => {
-        if (!camStats || !config?.cameras[key]?.enabled) {
+        if (!config?.cameras[key].enabled) {
           return;
         }
 
@@ -230,10 +228,6 @@ export default function CameraMetrics({
       }
 
       Object.entries(stats.cameras).forEach(([key, camStats]) => {
-        if (!camStats) {
-          return;
-        }
-
         if (!(key in series)) {
           const camName = getCameraName(key);
           series[key] = {};
@@ -280,17 +274,6 @@ export default function CameraMetrics({
     }
   }, [showCameraInfoDialog]);
 
-  if (config && Object.keys(config.cameras).length === 0) {
-    return (
-      <div className="flex size-full items-center justify-center">
-        <EmptyCard
-          icon={<BsFillCameraVideoOffFill className="size-8" />}
-          title={t("cameras.noCameras.title")}
-        />
-      </div>
-    );
-  }
-
   return (
     <div className="scrollbar-container mt-4 flex size-full flex-col gap-3 overflow-y-auto">
       <div className="text-sm font-medium text-muted-foreground">