Merge e888dc347a into acdfed40a9

* keep nav buttons visible

nav buttons would be hidden when closing and reopening dialog after selecting the tracking details pane

* better ux in tracking details

actually pause the video and seek when annotation offset changes to make it easier to visually line up the bounding box

* improve detail stream ux

* update dummy camera docs

* fix docs link

docs/docs/configuration/face_recognition.md

@@ -5,6 +5,18 @@ title: Face Recognition
 
 Face recognition identifies known individuals by matching detected faces with previously learned facial data. When a known `person` is recognized, their name will be added as a `sub_label`. This information is included in the UI, filters, as well as in notifications.
 
+## Alerts and Notifications
+
+Face recognition does not affect whether an alert is created — alerts are based on tracked objects like `person` in your `review.alerts.labels` and your [zone requirements](./review). The `face` label is an [attribute label](/plus/#available-label-types), not a tracked object, so it cannot trigger alerts on its own.
+
+When a face is recognized, the person's name is added as a `sub_label` on the tracked object. This name appears in the Frigate UI, in [built-in notifications](/configuration/notifications), and is published via [MQTT](/integrations/mqtt).
+
+:::note
+
+There is no built-in way to only create alerts for specific recognized faces. Neither `face`, `person-verified`, nor specific person names can be used in `review.alerts.labels`. To trigger automations based on face recognition results, use the [official Frigate integration's sensors](/integrations/home-assistant) and/or the [MQTT data](/integrations/mqtt) Frigate publishes.
+
+:::
+
 ## Model Requirements
 
 ### Face Detection
@@ -69,9 +81,9 @@ Fine-tune face recognition with these optional parameters at the global level of
   - Default: `0.9`.
 - `min_faces`: Min face recognitions for the sub label to be applied to the person object.
   - Default: `1`
-- `save_attempts`: Number of images of recognized faces to save for training.
+- `save_attempts`: Maximum number of face attempt images to keep in the training folder. Frigate saves a face image after each recognition attempt; when the limit is reached, the oldest image is deleted. These images are displayed in the Face Library's Recent Recognitions tab.
   - Default: `200`.
-- `blur_confidence_filter`: Enables a filter that calculates how blurry the face is and adjusts the confidence based on this.
+- `blur_confidence_filter`: Enables a filter that measures face image blurriness (using Laplacian variance) and reduces the recognition confidence score accordingly. Blurrier images receive a larger penalty (up to -0.06 for very blurry, down to 0 for clear images), making it harder for blurry faces to meet the `recognition_threshold`.
   - Default: `True`.
 - `device`: Target a specific device to run the face recognition model on (multi-GPU installation).
   - Default: `None`.
@@ -118,9 +130,19 @@ When choosing images to include in the face training set it is recommended to al
 
 The Recent Recognitions tab in the face library displays recent face recognition attempts. Detected face images are grouped according to the person they were identified as potentially matching.
 
-Each face image is labeled with a name (or `Unknown`) along with the confidence score of the recognition attempt. While each image can be used to train the system for a specific person, not all images are suitable for training.
+Each face image is labeled with a name (or `Unknown`) along with the confidence score of the recognition attempt. The score is color-coded based on your configured thresholds:
 
-Refer to the guidelines below for best practices on selecting images for training.
+- **Green**: score >= `recognition_threshold` (default `0.9`) — a confident match
+- **Orange**: score >= `unknown_score` (default `0.8`) — a potential match
+- **Red**: score < `unknown_score` — unknown or no match
+
+When an event has multiple recognition attempts, the face cards are displayed within a group. The group shows the recognized person's name if one was identified, or "Unknown" if not. Within the group, each individual face card shows its own recognition score. Frigate uses a weighted average across all attempts for a person object to determine whether to assign a name (`sub_label`) — so a single high-scoring card does not guarantee the person will be identified (see the [FAQ](#i-see-scores-above-the-threshold-in-the-recent-recognitions-tab-but-a-sub-label-wasnt-assigned) for more details).
+
+If the weighted average did not meet the `recognition_threshold`, there is no place in the UI to see it. The weighted average is published in the `score` field of the [`frigate/tracked_object_update`](/integrations/mqtt.md#face-recognition-update) MQTT topic after each recognition attempt, regardless of whether it meets the threshold. This is the most useful tool for debugging why a sub label was or wasn't assigned.
+
+Clicking a face card navigates to the Tracked Object Details for the associated event. To select face cards for deletion, right-click (or Ctrl/Cmd+click) individual cards, or use Ctrl+A to select all. A delete button will appear in the toolbar once cards are selected. Removing cards from the Recent Recognitions tab only removes the saved attempt images — it does not affect recognition accuracy or training data.
+
+While each image can be used to train the system for a specific person, not all images are suitable for training. Refer to the guidelines below for best practices on selecting images for training.
 
 ### Step 1 - Building a Strong Foundation
 
@@ -157,6 +179,8 @@ Start with the [Usage](#usage) section and re-read the [Model Requirements](#mod
    - Make sure you have trained at least one face per the recommendations above.
    - Adjust `recognition_threshold` settings per the suggestions [above](#advanced-configuration).
 
+3. To see recognition scores for an event, check the **Face Library** > **Recent Recognitions** tab. Face cards from the same event are grouped together, with the group header showing the combined result. Each card within the group shows its individual recognition score with [color coding](#understanding-the-recent-recognitions-tab). The **Tracked Object Details** view only shows the final weighted average score (in parentheses next to the top score) if a `sub_label` was assigned.
+
 ### Detection does not work well with blurry images?
 
 Accuracy is definitely a going to be improved with higher quality cameras / streams. It is important to look at the DORI (Detection Observation Recognition Identification) range of your camera, if that specification is posted. This specification explains the distance from the camera that a person can be detected, observed, recognized, and identified. The identification range is the most relevant here, and the distance listed by the camera is the furthest that face recognition will realistically work.
@@ -190,7 +214,15 @@ For more guidance, refer to the section above on improving recognition accuracy.
 
 ### I see scores above the threshold in the Recent Recognitions tab, but a sub label wasn't assigned?
 
-The Frigate considers the recognition scores across all recognition attempts for each person object. The scores are continually weighted based on the area of the face, and a sub label will only be assigned to person if a person is confidently recognized consistently. This avoids cases where a single high confidence recognition would throw off the results.
+Frigate considers recognition scores across all attempts for each person object. The score shown in the UI is the final weighted average across all attempts, while MQTT publishes a running weighted average that updates after each attempt. The weighting favors larger faces (by pixel area, capped at 4000px) and higher-confidence detections. Attempts scored at or below `unknown_score` are excluded from the average.
+
+A sub label will only be assigned if:
+
+- At least `min_faces` recognition attempts have been recorded.
+- A single person name has the most detections (no ties).
+- The weighted average score meets the `recognition_threshold`.
+
+This avoids cases where a single high-confidence recognition would throw off the results.
 
 ### Can I use other face recognition software like DoubleTake at the same time as the built in face recognition?
 

docs/docs/configuration/notifications.md

@@ -49,7 +49,7 @@ Once notifications are enabled, press the `Register for Notifications` button on
 
 ## Supported Notifications
 
-Currently notifications are only supported for review alerts. More notifications will be supported in the future.
+Currently notifications are only supported for review alerts. More notifications will be supported in the future. If [face recognition](/configuration/face_recognition) identifies a person during the alert, their name will be included in the notification. However, built-in notifications cannot be configured to only fire for specific recognized faces.
 
 :::note
 

docs/docs/troubleshooting/dummy-camera.md

@@ -3,17 +3,67 @@ id: dummy-camera
 title: Analyzing Object Detection
 ---
 
-When investigating object detection or tracking problems, it can be helpful to replay an exported video as a temporary "dummy" camera. This lets you reproduce issues locally, iterate on configuration (detections, zones, enrichment settings), and capture logs and clips for analysis.
+Frigate provides several tools for investigating object detection and tracking behavior: reviewing recorded detections through the UI, using the built-in Debug Replay feature, and manually setting up a dummy camera for advanced scenarios.
 
-## When to use
+## Reviewing Detections in the UI
 
-- Replaying an exported clip to reproduce incorrect detections
-- Testing configuration changes (model settings, trackers, filters) against a known clip
-- Gathering deterministic logs and recordings for debugging or issue reports
+Before setting up a replay, you can often diagnose detection issues by reviewing existing recordings directly in the Frigate UI.
 
-## Example Config
+### Detail View (History)
 
-Place the clip you want to replay in a location accessible to Frigate (for example `/media/frigate/` or the repository `debug/` folder when developing). Then add a temporary camera to your `config/config.yml` like this:
+The **Detail Stream** view in History shows recorded video with detection overlays (bounding boxes, path points, and zone highlights) drawn on top. Select a review item to see its tracked objects and lifecycle events. Clicking a lifecycle event seeks the video to that point so you can see exactly what the detector saw.
+
+### Tracking Details (Explore)
+
+In **Explore**, clicking a thumbnail opens the **Tracking Details** pane, which shows the full lifecycle of a single tracked object: every detection, zone entry/exit, and attribute change. The video plays back with the bounding box overlaid, letting you step through the object's entire lifecycle.
+
+### Annotation Offset
+
+Both views support an **Annotation Offset** setting (`detect.annotation_offset` in your camera config) that shifts the detection overlay in time relative to the recorded video. This compensates for the timing drift between the `detect` and `record` pipelines.
+
+These streams use fundamentally different clocks with different buffering and latency characteristics, so the detection data and the recorded video are never perfectly synchronized. The annotation offset shifts the overlay to visually align the bounding boxes with the objects in the recorded video.
+
+#### Why the offset varies between clips
+
+The base timing drift between detect and record is roughly constant for a given camera, so a single offset value works well on average. However, you may notice the alignment is not pixel-perfect in every clip. This is normal and caused by several factors:
+
+- **Keyframe-constrained seeking**: When the browser seeks to a timestamp, it can only land on the nearest keyframe. Each recording segment has keyframes at different positions relative to the detection timestamps, so the same offset may land slightly early in one clip and slightly late in another.
+- **Segment boundary trimming**: When a recording range starts mid-segment, the video is trimmed to the requested start point. This trim may not align with a keyframe, shifting the effective reference point.
+- **Capture-time jitter**: Network buffering, camera buffer flushes, and ffmpeg's own buffering mean the system-clock timestamp and the corresponding recorded frame are not always offset by exactly the same amount.
+
+The per-clip variation is typically quite low and is mostly an artifact of keyframe granularity rather than a change in the true drift. A "perfect" alignment would require per-frame, keyframe-aware offset compensation, which is not practical. Treat the annotation offset as a best-effort average for your camera.
+
+## Debug Replay
+
+Debug Replay lets you re-run Frigate's detection pipeline against a section of recorded video without manually configuring a dummy camera. It automatically extracts the recording, creates a temporary camera with the same detection settings as the original, and loops the clip through the pipeline so you can observe detections in real time.
+
+### When to use
+
+- Reproducing a detection or tracking issue from a specific time range
+- Testing configuration changes (model settings, zones, filters, motion) against a known clip
+- Gathering logs and debug overlays for a bug report
+
+:::note
+
+Only one replay session can be active at a time. If a session is already running, you will be prompted to navigate to it or stop it first.
+
+:::
+
+### Variables to consider
+
+- The replay will not always produce identical results to the original run. Different frames may be selected on replay, which can change detections and tracking.
+- Motion detection depends on the exact frames used; small frame shifts can change motion regions and therefore what gets passed to the detector.
+- Object detection is not fully deterministic: models and post-processing can yield slightly different results across runs.
+
+Treat the replay as a close approximation rather than an exact reproduction. Run multiple loops and examine the debug overlays and logs to understand the behavior.
+
+## Manual Dummy Camera
+
+For advanced scenarios — such as testing with a clip from a different source, debugging ffmpeg behavior, or running a clip through a completely custom configuration — you can set up a dummy camera manually.
+
+### Example config
+
+Place the clip you want to replay in a location accessible to Frigate (for example `/media/frigate/` or the repository `debug/` folder when developing). Then add a temporary camera to your `config/config.yml`:
 
 ```yaml
 cameras:
@@ -32,10 +82,10 @@ cameras:
       enabled: false
 ```
 
-- `-re -stream_loop -1` tells `ffmpeg` to play the file in realtime and loop indefinitely, which is useful for long debugging sessions.
-- `-fflags +genpts` helps generate presentation timestamps when they are missing in the file.
+- `-re -stream_loop -1` tells ffmpeg to play the file in real time and loop indefinitely.
+- `-fflags +genpts` generates presentation timestamps when they are missing in the file.
 
-## Steps
+### Steps
 
 1. Export or copy the clip you want to replay to the Frigate host (e.g., `/media/frigate/` or `debug/clips/`). Depending on what you are looking to debug, it is often helpful to add some "pre-capture" time (where the tracked object is not yet visible) to the clip when exporting.
 2. Add the temporary camera to `config/config.yml` (example above). Use a unique name such as `test` or `replay_camera` so it's easy to remove later.
@@ -45,16 +95,8 @@ cameras:
 5. Iterate on camera or enrichment settings (model, fps, zones, filters) and re-check the replay until the behavior is resolved.
 6. Remove the temporary camera from your config after debugging to avoid spurious telemetry or recordings.
 
-## Variables to consider in object tracking
+### Troubleshooting
 
-- The exported video will not always line up exactly with how it originally ran through Frigate (or even with the last loop). Different frames may be used on replay, which can change detections and tracking.
-- Motion detection depends on the frames used; small frame shifts can change motion regions and therefore what gets passed to the detector.
-- Object detection is not deterministic: models and post-processing can yield different results across runs, so you may not get identical detections or track IDs every time.
-
-When debugging, treat the replay as a close approximation rather than a byte-for-byte replay. Capture multiple runs, enable recording if helpful, and examine logs and saved event clips to understand variability.
-
-## Troubleshooting
-
-- No video: verify the path is correct and accessible from the Frigate process/container.
-- FFmpeg errors: check the log output for ffmpeg-specific flags and adjust `input_args` accordingly for your file/container. You may also need to disable hardware acceleration (`hwaccel_args: ""`) for the dummy camera.
-- No detections: confirm the camera `roles` include `detect`, and model/detector configuration is enabled.
+- **No video**: verify the file path is correct and accessible from the Frigate process/container.
+- **FFmpeg errors**: check the log output and adjust `input_args` for your file format. You may also need to disable hardware acceleration (`hwaccel_args: ""`) for the dummy camera.
+- **No detections**: confirm the camera `roles` include `detect` and that the model/detector configuration is enabled.

frigate/api/app.py

@@ -589,23 +589,38 @@ def config_set(request: Request, body: AppConfigSetBody):
                 request.app.frigate_config = config
                 request.app.genai_manager.update_config(config)
 
+                if request.app.stats_emitter is not None:
+                    request.app.stats_emitter.config = config
+
                 if body.update_topic:
                     if body.update_topic.startswith("config/cameras/"):
                         _, _, camera, field = body.update_topic.split("/")
 
-                        if field == "add":
-                            settings = config.cameras[camera]
-                        elif field == "remove":
-                            settings = old_config.cameras[camera]
+                        if camera == "*":
+                            # Wildcard: fan out update to all cameras
+                            enum_value = CameraConfigUpdateEnum[field]
+                            for camera_name in config.cameras:
+                                settings = config.get_nested_object(
+                                    f"config/cameras/{camera_name}/{field}"
+                                )
+                                request.app.config_publisher.publish_update(
+                                    CameraConfigUpdateTopic(enum_value, camera_name),
+                                    settings,
+                                )
                         else:
-                            settings = config.get_nested_object(body.update_topic)
+                            if field == "add":
+                                settings = config.cameras[camera]
+                            elif field == "remove":
+                                settings = old_config.cameras[camera]
+                            else:
+                                settings = config.get_nested_object(body.update_topic)
 
-                        request.app.config_publisher.publish_update(
-                            CameraConfigUpdateTopic(
-                                CameraConfigUpdateEnum[field], camera
-                            ),
-                            settings,
-                        )
+                            request.app.config_publisher.publish_update(
+                                CameraConfigUpdateTopic(
+                                    CameraConfigUpdateEnum[field], camera
+                                ),
+                                settings,
+                            )
                     else:
                         # Generic handling for global config updates
                         settings = config.get_nested_object(body.update_topic)

frigate/api/media.py

@@ -1281,6 +1281,13 @@ def preview_gif(
     else:
         # need to generate from existing images
         preview_dir = os.path.join(CACHE_DIR, "preview_frames")
+
+        if not os.path.isdir(preview_dir):
+            return JSONResponse(
+                content={"success": False, "message": "Preview not found"},
+                status_code=404,
+            )
+
         file_start = f"preview_{camera_name}"
         start_file = f"{file_start}-{start_ts}.{PREVIEW_FRAME_TYPE}"
         end_file = f"{file_start}-{end_ts}.{PREVIEW_FRAME_TYPE}"
@@ -1456,6 +1463,13 @@ def preview_mp4(
     else:
         # need to generate from existing images
         preview_dir = os.path.join(CACHE_DIR, "preview_frames")
+
+        if not os.path.isdir(preview_dir):
+            return JSONResponse(
+                content={"success": False, "message": "Preview not found"},
+                status_code=404,
+            )
+
         file_start = f"preview_{camera_name}"
         start_file = f"{file_start}-{start_ts}.{PREVIEW_FRAME_TYPE}"
         end_file = f"{file_start}-{end_ts}.{PREVIEW_FRAME_TYPE}"

frigate/config/camera/camera.py

@@ -242,6 +242,14 @@ class CameraConfig(FrigateBaseModel):
     def create_ffmpeg_cmds(self):
         if "_ffmpeg_cmds" in self:
             return
+        self._build_ffmpeg_cmds()
+
+    def recreate_ffmpeg_cmds(self):
+        """Force regeneration of ffmpeg commands from current config."""
+        self._build_ffmpeg_cmds()
+
+    def _build_ffmpeg_cmds(self):
+        """Build ffmpeg commands from the current ffmpeg config."""
         ffmpeg_cmds = []
         for ffmpeg_input in self.ffmpeg.inputs:
             ffmpeg_cmd = self._get_ffmpeg_cmd(ffmpeg_input)

frigate/config/camera/updater.py

@@ -17,6 +17,7 @@ class CameraConfigUpdateEnum(str, Enum):
     birdseye = "birdseye"
     detect = "detect"
     enabled = "enabled"
+    ffmpeg = "ffmpeg"
     motion = "motion"  # includes motion and motion masks
     notifications = "notifications"
     objects = "objects"
@@ -91,6 +92,9 @@ class CameraConfigUpdateSubscriber:
 
         if update_type == CameraConfigUpdateEnum.audio:
             config.audio = updated_config
+        elif update_type == CameraConfigUpdateEnum.ffmpeg:
+            config.ffmpeg = updated_config
+            config.recreate_ffmpeg_cmds()
         elif update_type == CameraConfigUpdateEnum.audio_transcription:
             config.audio_transcription = updated_config
         elif update_type == CameraConfigUpdateEnum.birdseye:

frigate/data_processing/common/license_plate/mixin.py

@@ -401,35 +401,10 @@ class LicensePlateProcessingMixin:
             all_confidences.append(flat_confidences)
             all_areas.append(combined_area)
 
-        # Step 3: Filter and sort the combined plates
+        # Step 3: Sort the combined plates
         if all_license_plates:
-            filtered_data = []
-            for plate, conf_list, area in zip(
-                all_license_plates, all_confidences, all_areas
-            ):
-                if len(plate) < self.lpr_config.min_plate_length:
-                    logger.debug(
-                        f"{camera}: Filtered out '{plate}' due to length ({len(plate)} < {self.lpr_config.min_plate_length})"
-                    )
-                    continue
-
-                if self.lpr_config.format:
-                    try:
-                        if not re.fullmatch(self.lpr_config.format, plate):
-                            logger.debug(
-                                f"{camera}: Filtered out '{plate}' due to format mismatch"
-                            )
-                            continue
-                    except re.error:
-                        # Skip format filtering if regex is invalid
-                        logger.error(
-                            f"{camera}: Invalid regex in LPR format configuration: {self.lpr_config.format}"
-                        )
-
-                filtered_data.append((plate, conf_list, area))
-
             sorted_data = sorted(
-                filtered_data,
+                zip(all_license_plates, all_confidences, all_areas),
                 key=lambda x: (x[2], len(x[0]), sum(x[1]) / len(x[1]) if x[1] else 0),
                 reverse=True,
             )
@@ -1557,6 +1532,27 @@ class LicensePlateProcessingMixin:
                 f"{camera}: Clustering changed top plate '{top_plate}' (conf: {avg_confidence:.3f}) to rep '{rep_plate}' (conf: {rep_conf:.3f})"
             )
 
+        # Apply length and format filters to the clustered representative
+        # rather than individual OCR readings, so noisy variants still
+        # contribute to clustering even when they don't pass on their own.
+        if len(rep_plate) < self.lpr_config.min_plate_length:
+            logger.debug(
+                f"{camera}: Filtered out clustered plate '{rep_plate}' due to length ({len(rep_plate)} < {self.lpr_config.min_plate_length})"
+            )
+            return
+
+        if self.lpr_config.format:
+            try:
+                if not re.fullmatch(self.lpr_config.format, rep_plate):
+                    logger.debug(
+                        f"{camera}: Filtered out clustered plate '{rep_plate}' due to format mismatch"
+                    )
+                    return
+            except re.error:
+                logger.error(
+                    f"{camera}: Invalid regex in LPR format configuration: {self.lpr_config.format}"
+                )
+
         # Update stored rep
         self.detected_license_plates[id].update(
             {

frigate/data_processing/post/license_plate.py

@@ -12,6 +12,7 @@ from frigate.comms.embeddings_updater import EmbeddingsRequestEnum
 from frigate.comms.event_metadata_updater import EventMetadataPublisher
 from frigate.comms.inter_process import InterProcessRequestor
 from frigate.config import FrigateConfig
+from frigate.config.classification import LicensePlateRecognitionConfig
 from frigate.data_processing.common.license_plate.mixin import (
     WRITE_DEBUG_IMAGES,
     LicensePlateProcessingMixin,
@@ -47,6 +48,11 @@ class LicensePlatePostProcessor(LicensePlateProcessingMixin, PostProcessorApi):
         self.sub_label_publisher = sub_label_publisher
         super().__init__(config, metrics, model_runner)
 
+    def update_config(self, lpr_config: LicensePlateRecognitionConfig) -> None:
+        """Update LPR config at runtime."""
+        self.lpr_config = lpr_config
+        logger.debug("LPR config updated dynamically")
+
     def process_data(
         self, data: dict[str, Any], data_type: PostProcessDataEnum
     ) -> None:

frigate/data_processing/real_time/face.py

@@ -19,6 +19,7 @@ from frigate.comms.event_metadata_updater import (
 )
 from frigate.comms.inter_process import InterProcessRequestor
 from frigate.config import FrigateConfig
+from frigate.config.classification import FaceRecognitionConfig
 from frigate.const import FACE_DIR, MODEL_CACHE_DIR
 from frigate.data_processing.common.face.model import (
     ArcFaceRecognizer,
@@ -95,6 +96,11 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
 
         self.recognizer.build()
 
+    def update_config(self, face_config: FaceRecognitionConfig) -> None:
+        """Update face recognition config at runtime."""
+        self.face_config = face_config
+        logger.debug("Face recognition config updated dynamically")
+
     def __download_models(self, path: str) -> None:
         try:
             file_name = os.path.basename(path)

frigate/data_processing/real_time/license_plate.py

@@ -8,6 +8,7 @@ import numpy as np
 from frigate.comms.event_metadata_updater import EventMetadataPublisher
 from frigate.comms.inter_process import InterProcessRequestor
 from frigate.config import FrigateConfig
+from frigate.config.classification import LicensePlateRecognitionConfig
 from frigate.data_processing.common.license_plate.mixin import (
     LicensePlateProcessingMixin,
 )
@@ -40,6 +41,11 @@ class LicensePlateRealTimeProcessor(LicensePlateProcessingMixin, RealTimeProcess
         self.camera_current_cars: dict[str, list[str]] = {}
         super().__init__(config, metrics)
 
+    def update_config(self, lpr_config: LicensePlateRecognitionConfig) -> None:
+        """Update LPR config at runtime."""
+        self.lpr_config = lpr_config
+        logger.debug("LPR config updated dynamically")
+
     def process_frame(
         self,
         obj_data: dict[str, Any],

frigate/embeddings/maintainer.py

@@ -99,6 +99,13 @@ class EmbeddingMaintainer(threading.Thread):
         self.classification_config_subscriber = ConfigSubscriber(
             "config/classification/custom/"
         )
+        self.bird_classification_config_subscriber = ConfigSubscriber(
+            "config/classification", exact=True
+        )
+        self.face_recognition_config_subscriber = ConfigSubscriber(
+            "config/face_recognition", exact=True
+        )
+        self.lpr_config_subscriber = ConfigSubscriber("config/lpr", exact=True)
 
         # Configure Frigate DB
         db = SqliteVecQueueDatabase(
@@ -273,6 +280,9 @@ class EmbeddingMaintainer(threading.Thread):
         while not self.stop_event.is_set():
             self.config_updater.check_for_updates()
             self._check_classification_config_updates()
+            self._check_bird_classification_config_updates()
+            self._check_face_recognition_config_updates()
+            self._check_lpr_config_updates()
             self._process_requests()
             self._process_updates()
             self._process_recordings_updates()
@@ -284,6 +294,9 @@ class EmbeddingMaintainer(threading.Thread):
 
         self.config_updater.stop()
         self.classification_config_subscriber.stop()
+        self.bird_classification_config_subscriber.stop()
+        self.face_recognition_config_subscriber.stop()
+        self.lpr_config_subscriber.stop()
         self.event_subscriber.stop()
         self.event_end_subscriber.stop()
         self.recordings_subscriber.stop()
@@ -356,6 +369,62 @@ class EmbeddingMaintainer(threading.Thread):
                     f"Added classification processor for model: {model_name} (type: {type(processor).__name__})"
                 )
 
+    def _check_bird_classification_config_updates(self) -> None:
+        """Check for bird classification config updates."""
+        topic, classification_config = (
+            self.bird_classification_config_subscriber.check_for_update()
+        )
+
+        if topic is None:
+            return
+
+        self.config.classification = classification_config
+        logger.debug("Applied dynamic bird classification config update")
+
+    def _check_face_recognition_config_updates(self) -> None:
+        """Check for face recognition config updates."""
+        topic, face_config = self.face_recognition_config_subscriber.check_for_update()
+
+        if topic is None:
+            return
+
+        previous_min_area = self.config.face_recognition.min_area
+        self.config.face_recognition = face_config
+
+        for camera_config in self.config.cameras.values():
+            if camera_config.face_recognition.min_area == previous_min_area:
+                camera_config.face_recognition.min_area = face_config.min_area
+
+        for processor in self.realtime_processors:
+            if isinstance(processor, FaceRealTimeProcessor):
+                processor.update_config(face_config)
+
+        logger.debug("Applied dynamic face recognition config update")
+
+    def _check_lpr_config_updates(self) -> None:
+        """Check for LPR config updates."""
+        topic, lpr_config = self.lpr_config_subscriber.check_for_update()
+
+        if topic is None:
+            return
+
+        previous_min_area = self.config.lpr.min_area
+        self.config.lpr = lpr_config
+
+        for camera_config in self.config.cameras.values():
+            if camera_config.lpr.min_area == previous_min_area:
+                camera_config.lpr.min_area = lpr_config.min_area
+
+        for processor in self.realtime_processors:
+            if isinstance(processor, LicensePlateRealTimeProcessor):
+                processor.update_config(lpr_config)
+
+        for processor in self.post_processors:
+            if isinstance(processor, LicensePlatePostProcessor):
+                processor.update_config(lpr_config)
+
+        logger.debug("Applied dynamic LPR config update")
+
     def _process_requests(self) -> None:
         """Process embeddings requests"""
 

frigate/output/birdseye.py

@@ -273,17 +273,13 @@ class BirdsEyeFrameManager:
         stop_event: mp.Event,
     ):
         self.config = config
-        self.mode = config.birdseye.mode
         width, height = get_canvas_shape(config.birdseye.width, config.birdseye.height)
         self.frame_shape = (height, width)
         self.yuv_shape = (height * 3 // 2, width)
         self.frame = np.ndarray(self.yuv_shape, dtype=np.uint8)
         self.canvas = Canvas(width, height, config.birdseye.layout.scaling_factor)
         self.stop_event = stop_event
-        self.inactivity_threshold = config.birdseye.inactivity_threshold
-
-        if config.birdseye.layout.max_cameras:
-            self.last_refresh_time = 0
+        self.last_refresh_time = 0
 
         # initialize the frame as black and with the Frigate logo
         self.blank_frame = np.zeros(self.yuv_shape, np.uint8)
@@ -426,7 +422,7 @@ class BirdsEyeFrameManager:
                 and self.config.cameras[cam].enabled
                 and cam_data["last_active_frame"] > 0
                 and cam_data["current_frame_time"] - cam_data["last_active_frame"]
-                < self.inactivity_threshold
+                < self.config.birdseye.inactivity_threshold
             ]
         )
         logger.debug(f"Active cameras: {active_cameras}")

frigate/output/output.py

@@ -15,6 +15,7 @@ from ws4py.server.wsgirefserver import (
 )
 from ws4py.server.wsgiutils import WebSocketWSGIApplication
 
+from frigate.comms.config_updater import ConfigSubscriber
 from frigate.comms.detections_updater import DetectionSubscriber, DetectionTypeEnum
 from frigate.comms.ws import WebSocket
 from frigate.config import FrigateConfig
@@ -138,6 +139,7 @@ class OutputProcess(FrigateProcess):
                 CameraConfigUpdateEnum.record,
             ],
         )
+        birdseye_config_subscriber = ConfigSubscriber("config/birdseye", exact=True)
 
         jsmpeg_cameras: dict[str, JsmpegCamera] = {}
         birdseye: Birdseye | None = None
@@ -167,6 +169,20 @@ class OutputProcess(FrigateProcess):
         websocket_thread.start()
 
         while not self.stop_event.is_set():
+            update_topic, birdseye_config = (
+                birdseye_config_subscriber.check_for_update()
+            )
+
+            if update_topic is not None:
+                previous_global_mode = self.config.birdseye.mode
+                self.config.birdseye = birdseye_config
+
+                for camera_config in self.config.cameras.values():
+                    if camera_config.birdseye.mode == previous_global_mode:
+                        camera_config.birdseye.mode = birdseye_config.mode
+
+                logger.debug("Applied dynamic birdseye config update")
+
             # check if there is an updated config
             updates = config_subscriber.check_for_updates()
 
@@ -297,6 +313,7 @@ class OutputProcess(FrigateProcess):
             birdseye.stop()
 
         config_subscriber.stop()
+        birdseye_config_subscriber.stop()
         websocket_server.manager.close_all()
         websocket_server.manager.stop()
         websocket_server.manager.join()

frigate/test/http_api/test_http_config_set.py

@@ -0,0 +1,261 @@
+"""Tests for the config_set endpoint's wildcard camera propagation."""
+
+import os
+import tempfile
+import unittest
+from unittest.mock import MagicMock, Mock, patch
+
+import ruamel.yaml
+
+from frigate.config import FrigateConfig
+from frigate.config.camera.updater import (
+    CameraConfigUpdateEnum,
+    CameraConfigUpdatePublisher,
+    CameraConfigUpdateTopic,
+)
+from frigate.models import Event, Recordings, ReviewSegment
+from frigate.test.http_api.base_http_test import AuthTestClient, BaseTestHttp
+
+
+class TestConfigSetWildcardPropagation(BaseTestHttp):
+    """Test that wildcard camera updates fan out to all cameras."""
+
+    def setUp(self):
+        super().setUp(models=[Event, Recordings, ReviewSegment])
+        self.minimal_config = {
+            "mqtt": {"host": "mqtt"},
+            "cameras": {
+                "front_door": {
+                    "ffmpeg": {
+                        "inputs": [
+                            {"path": "rtsp://10.0.0.1:554/video", "roles": ["detect"]}
+                        ]
+                    },
+                    "detect": {
+                        "height": 1080,
+                        "width": 1920,
+                        "fps": 5,
+                    },
+                },
+                "back_yard": {
+                    "ffmpeg": {
+                        "inputs": [
+                            {"path": "rtsp://10.0.0.2:554/video", "roles": ["detect"]}
+                        ]
+                    },
+                    "detect": {
+                        "height": 720,
+                        "width": 1280,
+                        "fps": 10,
+                    },
+                },
+            },
+        }
+
+    def _create_app_with_publisher(self):
+        """Create app with a mocked config publisher."""
+        from fastapi import Request
+
+        from frigate.api.auth import get_allowed_cameras_for_filter, get_current_user
+        from frigate.api.fastapi_app import create_fastapi_app
+
+        mock_publisher = Mock(spec=CameraConfigUpdatePublisher)
+        mock_publisher.publisher = MagicMock()
+
+        app = create_fastapi_app(
+            FrigateConfig(**self.minimal_config),
+            self.db,
+            None,
+            None,
+            None,
+            None,
+            None,
+            None,
+            mock_publisher,
+            None,
+            enforce_default_admin=False,
+        )
+
+        async def mock_get_current_user(request: Request):
+            username = request.headers.get("remote-user")
+            role = request.headers.get("remote-role")
+            return {"username": username, "role": role}
+
+        async def mock_get_allowed_cameras_for_filter(request: Request):
+            return list(self.minimal_config.get("cameras", {}).keys())
+
+        app.dependency_overrides[get_current_user] = mock_get_current_user
+        app.dependency_overrides[get_allowed_cameras_for_filter] = (
+            mock_get_allowed_cameras_for_filter
+        )
+
+        return app, mock_publisher
+
+    def _write_config_file(self):
+        """Write the minimal config to a temp YAML file and return the path."""
+        yaml = ruamel.yaml.YAML()
+        f = tempfile.NamedTemporaryFile(mode="w", suffix=".yml", delete=False)
+        yaml.dump(self.minimal_config, f)
+        f.close()
+        return f.name
+
+    @patch("frigate.api.app.find_config_file")
+    def test_wildcard_detect_update_fans_out_to_all_cameras(self, mock_find_config):
+        """config/cameras/*/detect fans out to all cameras."""
+        config_path = self._write_config_file()
+        mock_find_config.return_value = config_path
+
+        try:
+            app, mock_publisher = self._create_app_with_publisher()
+            with AuthTestClient(app) as client:
+                resp = client.put(
+                    "/config/set",
+                    json={
+                        "config_data": {"detect": {"fps": 15}},
+                        "update_topic": "config/cameras/*/detect",
+                        "requires_restart": 0,
+                    },
+                )
+
+                self.assertEqual(resp.status_code, 200)
+                data = resp.json()
+                self.assertTrue(data["success"])
+
+                # Verify publish_update called for each camera
+                self.assertEqual(mock_publisher.publish_update.call_count, 2)
+
+                published_cameras = set()
+                for c in mock_publisher.publish_update.call_args_list:
+                    topic = c[0][0]
+                    self.assertIsInstance(topic, CameraConfigUpdateTopic)
+                    self.assertEqual(topic.update_type, CameraConfigUpdateEnum.detect)
+                    published_cameras.add(topic.camera)
+
+                self.assertEqual(published_cameras, {"front_door", "back_yard"})
+
+                # Global publisher should NOT be called for wildcard
+                mock_publisher.publisher.publish.assert_not_called()
+        finally:
+            os.unlink(config_path)
+
+    @patch("frigate.api.app.find_config_file")
+    def test_wildcard_motion_update_fans_out(self, mock_find_config):
+        """config/cameras/*/motion fans out to all cameras."""
+        config_path = self._write_config_file()
+        mock_find_config.return_value = config_path
+
+        try:
+            app, mock_publisher = self._create_app_with_publisher()
+            with AuthTestClient(app) as client:
+                resp = client.put(
+                    "/config/set",
+                    json={
+                        "config_data": {"motion": {"threshold": 30}},
+                        "update_topic": "config/cameras/*/motion",
+                        "requires_restart": 0,
+                    },
+                )
+
+                self.assertEqual(resp.status_code, 200)
+
+                published_cameras = set()
+                for c in mock_publisher.publish_update.call_args_list:
+                    topic = c[0][0]
+                    self.assertEqual(topic.update_type, CameraConfigUpdateEnum.motion)
+                    published_cameras.add(topic.camera)
+
+                self.assertEqual(published_cameras, {"front_door", "back_yard"})
+        finally:
+            os.unlink(config_path)
+
+    @patch("frigate.api.app.find_config_file")
+    def test_camera_specific_topic_only_updates_one_camera(self, mock_find_config):
+        """config/cameras/front_door/detect only updates front_door."""
+        config_path = self._write_config_file()
+        mock_find_config.return_value = config_path
+
+        try:
+            app, mock_publisher = self._create_app_with_publisher()
+            with AuthTestClient(app) as client:
+                resp = client.put(
+                    "/config/set",
+                    json={
+                        "config_data": {
+                            "cameras": {"front_door": {"detect": {"fps": 20}}}
+                        },
+                        "update_topic": "config/cameras/front_door/detect",
+                        "requires_restart": 0,
+                    },
+                )
+
+                self.assertEqual(resp.status_code, 200)
+
+                # Only one camera updated
+                self.assertEqual(mock_publisher.publish_update.call_count, 1)
+                topic = mock_publisher.publish_update.call_args[0][0]
+                self.assertEqual(topic.camera, "front_door")
+                self.assertEqual(topic.update_type, CameraConfigUpdateEnum.detect)
+
+                # Global publisher should NOT be called
+                mock_publisher.publisher.publish.assert_not_called()
+        finally:
+            os.unlink(config_path)
+
+    @patch("frigate.api.app.find_config_file")
+    def test_wildcard_sends_merged_per_camera_config(self, mock_find_config):
+        """Wildcard fan-out sends each camera's own merged config."""
+        config_path = self._write_config_file()
+        mock_find_config.return_value = config_path
+
+        try:
+            app, mock_publisher = self._create_app_with_publisher()
+            with AuthTestClient(app) as client:
+                resp = client.put(
+                    "/config/set",
+                    json={
+                        "config_data": {"detect": {"fps": 15}},
+                        "update_topic": "config/cameras/*/detect",
+                        "requires_restart": 0,
+                    },
+                )
+
+                self.assertEqual(resp.status_code, 200)
+
+                for c in mock_publisher.publish_update.call_args_list:
+                    camera_detect_config = c[0][1]
+                    self.assertIsNotNone(camera_detect_config)
+                    self.assertTrue(hasattr(camera_detect_config, "fps"))
+        finally:
+            os.unlink(config_path)
+
+    @patch("frigate.api.app.find_config_file")
+    def test_non_camera_global_topic_uses_generic_publish(self, mock_find_config):
+        """Non-camera topics (e.g. config/live) use the generic publisher."""
+        config_path = self._write_config_file()
+        mock_find_config.return_value = config_path
+
+        try:
+            app, mock_publisher = self._create_app_with_publisher()
+            with AuthTestClient(app) as client:
+                resp = client.put(
+                    "/config/set",
+                    json={
+                        "config_data": {"live": {"height": 720}},
+                        "update_topic": "config/live",
+                        "requires_restart": 0,
+                    },
+                )
+
+                self.assertEqual(resp.status_code, 200)
+
+                # Global topic publisher called
+                mock_publisher.publisher.publish.assert_called_once()
+
+                # Camera-level publish_update NOT called
+                mock_publisher.publish_update.assert_not_called()
+        finally:
+            os.unlink(config_path)
+
+
+if __name__ == "__main__":
+    unittest.main()

frigate/util/media.py

@@ -151,7 +151,9 @@ def sync_recordings(
 
             max_inserts = 1000
             for batch in chunked(recordings_to_delete, max_inserts):
-                RecordingsToDelete.insert_many(batch).execute()
+                RecordingsToDelete.insert_many(
+                    [{"id": r["id"]} for r in batch]
+                ).execute()
 
             try:
                 deleted = (

frigate/video.py

@@ -214,7 +214,11 @@ class CameraWatchdog(threading.Thread):
         self.config_subscriber = CameraConfigUpdateSubscriber(
             None,
             {config.name: config},
-            [CameraConfigUpdateEnum.enabled, CameraConfigUpdateEnum.record],
+            [
+                CameraConfigUpdateEnum.enabled,
+                CameraConfigUpdateEnum.ffmpeg,
+                CameraConfigUpdateEnum.record,
+            ],
         )
         self.requestor = InterProcessRequestor()
         self.was_enabled = self.config.enabled
@@ -254,9 +258,13 @@ class CameraWatchdog(threading.Thread):
             self._last_record_status = status
             self._last_status_update_time = now
 
+    def _check_config_updates(self) -> dict[str, list[str]]:
+        """Check for config updates and return the update dict."""
+        return self.config_subscriber.check_for_updates()
+
     def _update_enabled_state(self) -> bool:
         """Fetch the latest config and update enabled state."""
-        self.config_subscriber.check_for_updates()
+        self._check_config_updates()
         return self.config.enabled
 
     def reset_capture_thread(
@@ -317,7 +325,24 @@ class CameraWatchdog(threading.Thread):
 
         # 1 second watchdog loop
         while not self.stop_event.wait(1):
-            enabled = self._update_enabled_state()
+            updates = self._check_config_updates()
+
+            # Handle ffmpeg config changes by restarting all ffmpeg processes
+            if "ffmpeg" in updates and self.config.enabled:
+                self.logger.debug(
+                    "FFmpeg config updated for %s, restarting ffmpeg processes",
+                    self.config.name,
+                )
+                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()
+                continue
+
+            enabled = self.config.enabled
             if enabled != self.was_enabled:
                 if enabled:
                     self.logger.debug(f"Enabling camera {self.config.name}")

web/src/App.tsx

@@ -11,7 +11,6 @@ import { Redirect } from "./components/navigation/Redirect";
 import { cn } from "./lib/utils";
 import { isPWA } from "./utils/isPWA";
 import ProtectedRoute from "@/components/auth/ProtectedRoute";
-import { AuthProvider } from "@/context/auth-context";
 import useSWR from "swr";
 import { FrigateConfig } from "./types/frigateConfig";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
@@ -39,13 +38,11 @@ function App() {
 
   return (
     <Providers>
-      <AuthProvider>
-        <BrowserRouter basename={window.baseUrl}>
-          <Wrapper>
-            {config?.safe_mode ? <SafeAppView /> : <DefaultAppView />}
-          </Wrapper>
-        </BrowserRouter>
-      </AuthProvider>
+      <BrowserRouter basename={window.baseUrl}>
+        <Wrapper>
+          {config?.safe_mode ? <SafeAppView /> : <DefaultAppView />}
+        </Wrapper>
+      </BrowserRouter>
     </Providers>
   );
 }
@@ -85,17 +82,13 @@ function DefaultAppView() {
             : "bottom-8 left-[52px]",
         )}
       >
-        <Suspense>
+        <Suspense
+          fallback={
+            <ActivityIndicator className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2" />
+          }
+        >
           <Routes>
-            <Route
-              element={
-                mainRouteRoles ? (
-                  <ProtectedRoute requiredRoles={mainRouteRoles} />
-                ) : (
-                  <ActivityIndicator className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2" />
-                )
-              }
-            >
+            <Route element={<ProtectedRoute requiredRoles={mainRouteRoles} />}>
               <Route index element={<Live />} />
               <Route path="/review" element={<Events />} />
               <Route path="/explore" element={<Explore />} />

web/src/components/auth/ProtectedRoute.tsx

@@ -10,7 +10,7 @@ import {
 export default function ProtectedRoute({
   requiredRoles,
 }: {
-  requiredRoles: string[];
+  requiredRoles?: string[];
 }) {
   const { auth } = useContext(AuthContext);
 
@@ -36,6 +36,13 @@ export default function ProtectedRoute({
     );
   }
 
+  // Wait for config to provide required roles
+  if (!requiredRoles) {
+    return (
+      <ActivityIndicator className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2" />
+    );
+  }
+
   if (auth.isLoading) {
     return (
       <ActivityIndicator className="absolute left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2" />

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

@@ -25,14 +25,7 @@ const audio: SectionConfigOverrides = {
     },
   },
   global: {
-    restartRequired: [
-      "enabled",
-      "listen",
-      "filters",
-      "min_volume",
-      "max_not_heard",
-      "num_threads",
-    ],
+    restartRequired: ["num_threads"],
   },
   camera: {
     restartRequired: ["num_threads"],

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

@@ -28,10 +28,7 @@ const birdseye: SectionConfigOverrides = {
       "width",
       "height",
       "quality",
-      "mode",
       "layout.scaling_factor",
-      "inactivity_threshold",
-      "layout.max_cameras",
       "idle_heartbeat_fps",
     ],
     uiSchema: {

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

@@ -3,7 +3,7 @@ import type { SectionConfigOverrides } from "./types";
 const classification: SectionConfigOverrides = {
   base: {
     sectionDocs: "/configuration/custom_classification/object_classification",
-    restartRequired: ["bird.enabled", "bird.threshold"],
+    restartRequired: ["bird.enabled"],
     hiddenFields: ["custom"],
     advancedFields: [],
   },

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

@@ -30,16 +30,7 @@ const detect: SectionConfigOverrides = {
     ],
   },
   global: {
-    restartRequired: [
-      "enabled",
-      "width",
-      "height",
-      "fps",
-      "min_initialized",
-      "max_disappeared",
-      "annotation_offset",
-      "stationary",
-    ],
+    restartRequired: ["width", "height", "min_initialized", "max_disappeared"],
   },
   camera: {
     restartRequired: ["width", "height", "min_initialized", "max_disappeared"],

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

@@ -32,18 +32,7 @@ const faceRecognition: SectionConfigOverrides = {
       "blur_confidence_filter",
       "device",
     ],
-    restartRequired: [
-      "enabled",
-      "model_size",
-      "unknown_score",
-      "detection_threshold",
-      "recognition_threshold",
-      "min_area",
-      "min_faces",
-      "save_attempts",
-      "blur_confidence_filter",
-      "device",
-    ],
+    restartRequired: ["enabled", "model_size", "device"],
   },
 };
 

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

@@ -116,16 +116,7 @@ const ffmpeg: SectionConfigOverrides = {
     },
   },
   global: {
-    restartRequired: [
-      "path",
-      "global_args",
-      "hwaccel_args",
-      "input_args",
-      "output_args",
-      "retry_interval",
-      "apple_compatibility",
-      "gpu",
-    ],
+    restartRequired: [],
     fieldOrder: [
       "hwaccel_args",
       "path",
@@ -162,17 +153,7 @@ const ffmpeg: SectionConfigOverrides = {
     fieldGroups: {
       cameraFfmpeg: ["input_args", "hwaccel_args", "output_args"],
     },
-    restartRequired: [
-      "inputs",
-      "path",
-      "global_args",
-      "hwaccel_args",
-      "input_args",
-      "output_args",
-      "retry_interval",
-      "apple_compatibility",
-      "gpu",
-    ],
+    restartRequired: [],
   },
 };
 

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

@@ -40,21 +40,7 @@ const lpr: SectionConfigOverrides = {
       "device",
       "replace_rules",
     ],
-    restartRequired: [
-      "enabled",
-      "model_size",
-      "detection_threshold",
-      "min_area",
-      "recognition_threshold",
-      "min_plate_length",
-      "format",
-      "match_distance",
-      "known_plates",
-      "enhancement",
-      "debug_save_plates",
-      "device",
-      "replace_rules",
-    ],
+    restartRequired: ["model_size", "enhancement", "device"],
     uiSchema: {
       format: {
         "ui:options": { size: "md" },

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

@@ -31,18 +31,7 @@ const motion: SectionConfigOverrides = {
     ],
   },
   global: {
-    restartRequired: [
-      "enabled",
-      "threshold",
-      "lightning_threshold",
-      "skip_motion_threshold",
-      "improve_contrast",
-      "contour_area",
-      "delta_alpha",
-      "frame_alpha",
-      "frame_height",
-      "mqtt_off_delay",
-    ],
+    restartRequired: ["frame_height"],
   },
   camera: {
     restartRequired: ["frame_height"],

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

@@ -83,7 +83,7 @@ const objects: SectionConfigOverrides = {
     },
   },
   global: {
-    restartRequired: ["track", "alert", "detect", "filters", "genai"],
+    restartRequired: [],
     hiddenFields: [
       "enabled_in_config",
       "mask",

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

@@ -29,16 +29,7 @@ const record: SectionConfigOverrides = {
     },
   },
   global: {
-    restartRequired: [
-      "enabled",
-      "expire_interval",
-      "continuous",
-      "motion",
-      "alerts",
-      "detections",
-      "preview",
-      "export",
-    ],
+    restartRequired: [],
   },
   camera: {
     restartRequired: [],

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

@@ -44,7 +44,7 @@ const review: SectionConfigOverrides = {
     },
   },
   global: {
-    restartRequired: ["alerts", "detections", "genai"],
+    restartRequired: [],
   },
   camera: {
     restartRequired: [],

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

@@ -27,14 +27,7 @@ const snapshots: SectionConfigOverrides = {
     },
   },
   global: {
-    restartRequired: [
-      "enabled",
-      "bounding_box",
-      "crop",
-      "quality",
-      "timestamp",
-      "retain",
-    ],
+    restartRequired: [],
     hiddenFields: ["enabled_in_config", "required_zones"],
   },
   camera: {

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

@@ -3,14 +3,7 @@ import type { SectionConfigOverrides } from "./types";
 const telemetry: SectionConfigOverrides = {
   base: {
     sectionDocs: "/configuration/reference",
-    restartRequired: [
-      "network_interfaces",
-      "stats.amd_gpu_stats",
-      "stats.intel_gpu_stats",
-      "stats.intel_gpu_device",
-      "stats.network_bandwidth",
-      "version_check",
-    ],
+    restartRequired: ["version_check"],
     fieldOrder: ["network_interfaces", "stats", "version_check"],
     advancedFields: [],
   },

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

@@ -56,6 +56,7 @@ import ActivityIndicator from "@/components/indicators/activity-indicator";
 import { StatusBarMessagesContext } from "@/context/statusbar-provider";
 import {
   cameraUpdateTopicMap,
+  globalCameraDefaultSections,
   buildOverrides,
   buildConfigDataForPath,
   sanitizeSectionData as sharedSanitizeSectionData,
@@ -234,7 +235,10 @@ export function ConfigSection({
       ? cameraUpdateTopicMap[sectionPath]
         ? `config/cameras/${cameraName}/${cameraUpdateTopicMap[sectionPath]}`
         : undefined
-      : `config/${sectionPath}`;
+      : globalCameraDefaultSections.has(sectionPath) &&
+          cameraUpdateTopicMap[sectionPath]
+        ? `config/cameras/*/${cameraUpdateTopicMap[sectionPath]}`
+        : `config/${sectionPath}`;
   // Default: show title for camera level (since it might be collapsible), hide for global
   const shouldShowTitle = showTitle ?? effectiveLevel === "camera";
 
@@ -827,7 +831,7 @@ export function ConfigSection({
 
       <div
         className={cn(
-          "w-full border-t border-secondary bg-background pb-5 pt-0",
+          "w-full border-t border-secondary bg-background pt-0",
           !noStickyButtons && "sticky bottom-0 z-50",
         )}
       >

web/src/components/overlay/ActionsDropdown.tsx

@@ -20,7 +20,7 @@ export default function ActionsDropdown({
   const { t } = useTranslation(["components/dialog", "views/replay", "common"]);
 
   return (
-    <DropdownMenu>
+    <DropdownMenu modal={false}>
       <DropdownMenuTrigger asChild>
         <Button
           className="flex items-center gap-2"

web/src/components/overlay/detail/AnnotationOffsetSlider.tsx

@@ -7,10 +7,16 @@ import axios from "axios";
 import { useSWRConfig } from "swr";
 import { toast } from "sonner";
 import { Trans, useTranslation } from "react-i18next";
-import { LuInfo } from "react-icons/lu";
+import { LuExternalLink, LuInfo, LuMinus, LuPlus } from "react-icons/lu";
 import { cn } from "@/lib/utils";
 import { isMobile } from "react-device-detect";
 import { useIsAdmin } from "@/hooks/use-is-admin";
+import { useDocDomain } from "@/hooks/use-doc-domain";
+import { Link } from "react-router-dom";
+
+const OFFSET_MIN = -2500;
+const OFFSET_MAX = 2500;
+const OFFSET_STEP = 50;
 
 type Props = {
   className?: string;
@@ -19,6 +25,7 @@ type Props = {
 export default function AnnotationOffsetSlider({ className }: Props) {
   const { annotationOffset, setAnnotationOffset, camera } = useDetailStream();
   const isAdmin = useIsAdmin();
+  const { getLocaleDocUrl } = useDocDomain();
   const { mutate } = useSWRConfig();
   const { t } = useTranslation(["views/explore"]);
   const [isSaving, setIsSaving] = useState(false);
@@ -32,6 +39,16 @@ export default function AnnotationOffsetSlider({ className }: Props) {
     [setAnnotationOffset],
   );
 
+  const stepOffset = useCallback(
+    (delta: number) => {
+      setAnnotationOffset((prev) => {
+        const next = prev + delta;
+        return Math.max(OFFSET_MIN, Math.min(OFFSET_MAX, next));
+      });
+    },
+    [setAnnotationOffset],
+  );
+
   const reset = useCallback(() => {
     setAnnotationOffset(0);
   }, [setAnnotationOffset]);
@@ -72,11 +89,18 @@ export default function AnnotationOffsetSlider({ className }: Props) {
   return (
     <div
       className={cn(
-        "flex flex-col gap-0.5",
+        "flex flex-col gap-1.5",
         isMobile && "landscape:gap-3",
         className,
       )}
     >
+      <div className="flex items-center gap-2 text-sm">
+        <span>{t("trackingDetails.annotationSettings.offset.label")}:</span>
+        <span className="font-mono tabular-nums text-primary-variant">
+          {annotationOffset > 0 ? "+" : ""}
+          {annotationOffset}ms
+        </span>
+      </div>
       <div
         className={cn(
           "flex items-center gap-3",
@@ -84,57 +108,81 @@ export default function AnnotationOffsetSlider({ className }: Props) {
             "landscape:flex-col landscape:items-start landscape:gap-4",
         )}
       >
-        <div className="flex max-w-28 flex-row items-center gap-2 text-sm md:max-w-48">
-          <span className="max-w-24 md:max-w-44">
-            {t("trackingDetails.annotationSettings.offset.label")}:
-          </span>
-          <span className="text-primary-variant">{annotationOffset}</span>
-        </div>
+        <Button
+          type="button"
+          variant="outline"
+          size="icon"
+          className="size-8 shrink-0"
+          aria-label="-50ms"
+          onClick={() => stepOffset(-OFFSET_STEP)}
+          disabled={annotationOffset <= OFFSET_MIN}
+        >
+          <LuMinus className="size-4" />
+        </Button>
         <div className="w-full flex-1 landscape:flex">
           <Slider
             value={[annotationOffset]}
-            min={-2500}
-            max={2500}
-            step={50}
+            min={OFFSET_MIN}
+            max={OFFSET_MAX}
+            step={OFFSET_STEP}
             onValueChange={handleChange}
           />
         </div>
-        <div className="flex items-center gap-2">
-          <Button size="sm" variant="ghost" onClick={reset}>
-            {t("button.reset", { ns: "common" })}
-          </Button>
-          {isAdmin && (
-            <Button size="sm" onClick={save} disabled={isSaving}>
-              {isSaving
-                ? t("button.saving", { ns: "common" })
-                : t("button.save", { ns: "common" })}
-            </Button>
-          )}
-        </div>
+        <Button
+          type="button"
+          variant="outline"
+          size="icon"
+          className="size-8 shrink-0"
+          aria-label="+50ms"
+          onClick={() => stepOffset(OFFSET_STEP)}
+          disabled={annotationOffset >= OFFSET_MAX}
+        >
+          <LuPlus className="size-4" />
+        </Button>
       </div>
-      <div
-        className={cn(
-          "flex items-center gap-2 text-xs text-muted-foreground",
-          isMobile && "landscape:flex-col landscape:items-start",
-        )}
-      >
+      <div className="flex items-start gap-1.5 text-xs text-muted-foreground">
         <Trans ns="views/explore">
           trackingDetails.annotationSettings.offset.millisecondsToOffset
         </Trans>
         <Popover>
           <PopoverTrigger asChild>
             <button
-              className="focus:outline-none"
+              className="mt-px shrink-0 focus:outline-none"
               aria-label={t("trackingDetails.annotationSettings.offset.tips")}
             >
-              <LuInfo className="size-4" />
+              <LuInfo className="size-3.5" />
             </button>
           </PopoverTrigger>
           <PopoverContent className="w-80 text-sm">
             {t("trackingDetails.annotationSettings.offset.tips")}
+            <div className="mt-2 flex items-center text-primary-variant">
+              <Link
+                to={getLocaleDocUrl(
+                  "troubleshooting/dummy-camera#annotation-offset",
+                )}
+                target="_blank"
+                rel="noopener noreferrer"
+                className="inline"
+              >
+                {t("readTheDocumentation", { ns: "common" })}
+                <LuExternalLink className="ml-2 inline-flex size-3" />
+              </Link>
+            </div>
           </PopoverContent>
         </Popover>
       </div>
+      <div className="flex items-center justify-end gap-2">
+        <Button size="sm" variant="ghost" onClick={reset}>
+          {t("button.reset", { ns: "common" })}
+        </Button>
+        {isAdmin && (
+          <Button size="sm" onClick={save} disabled={isSaving}>
+            {isSaving
+              ? t("button.saving", { ns: "common" })
+              : t("button.save", { ns: "common" })}
+          </Button>
+        )}
+      </div>
     </div>
   );
 }

web/src/components/overlay/detail/AnnotationSettingsPane.tsx

@@ -1,31 +1,23 @@
 import { Event } from "@/types/event";
 import { FrigateConfig } from "@/types/frigateConfig";
-import { zodResolver } from "@hookform/resolvers/zod";
 import axios from "axios";
 import { useCallback, useState } from "react";
-import { useForm } from "react-hook-form";
-import { LuExternalLink } from "react-icons/lu";
+import { LuExternalLink, LuMinus, LuPlus } from "react-icons/lu";
 import { Link } from "react-router-dom";
 import { toast } from "sonner";
 import useSWR from "swr";
-import {
-  Form,
-  FormControl,
-  FormDescription,
-  FormField,
-  FormItem,
-  FormLabel,
-  FormMessage,
-} from "@/components/ui/form";
-import { z } from "zod";
 import { Button } from "@/components/ui/button";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
-import { Input } from "@/components/ui/input";
 import { Separator } from "@/components/ui/separator";
+import { Slider } from "@/components/ui/slider";
 import { Trans, useTranslation } from "react-i18next";
 import { useDocDomain } from "@/hooks/use-doc-domain";
 import { useIsAdmin } from "@/hooks/use-is-admin";
 
+const OFFSET_MIN = -2500;
+const OFFSET_MAX = 2500;
+const OFFSET_STEP = 50;
+
 type AnnotationSettingsPaneProps = {
   event: Event;
   annotationOffset: number;
@@ -45,93 +37,69 @@ export function AnnotationSettingsPane({
 
   const [isLoading, setIsLoading] = useState(false);
 
-  const formSchema = z.object({
-    annotationOffset: z.coerce.number().optional().or(z.literal("")),
-  });
-
-  const form = useForm<z.infer<typeof formSchema>>({
-    resolver: zodResolver(formSchema),
-    mode: "onChange",
-    defaultValues: {
-      annotationOffset: annotationOffset,
+  const handleSliderChange = useCallback(
+    (values: number[]) => {
+      if (!values || values.length === 0) return;
+      setAnnotationOffset(values[0]);
     },
-  });
-
-  const saveToConfig = useCallback(
-    async (annotation_offset: number | string) => {
-      if (!config || !event) {
-        return;
-      }
-
-      axios
-        .put(
-          `config/set?cameras.${event?.camera}.detect.annotation_offset=${annotation_offset}`,
-          {
-            requires_restart: 0,
-          },
-        )
-        .then((res) => {
-          if (res.status === 200) {
-            toast.success(
-              t("trackingDetails.annotationSettings.offset.toast.success", {
-                camera: event?.camera,
-              }),
-              {
-                position: "top-center",
-              },
-            );
-            updateConfig();
-          } else {
-            toast.error(
-              t("toast.save.error.title", {
-                errorMessage: res.statusText,
-                ns: "common",
-              }),
-              {
-                position: "top-center",
-              },
-            );
-          }
-        })
-        .catch((error) => {
-          const errorMessage =
-            error.response?.data?.message ||
-            error.response?.data?.detail ||
-            "Unknown error";
-          toast.error(
-            t("toast.save.error.title", { errorMessage, ns: "common" }),
-            {
-              position: "top-center",
-            },
-          );
-        })
-        .finally(() => {
-          setIsLoading(false);
-        });
-    },
-    [updateConfig, config, event, t],
+    [setAnnotationOffset],
   );
 
-  function onSubmit(values: z.infer<typeof formSchema>) {
-    if (!values || values.annotationOffset == null || !config) {
-      return;
-    }
+  const stepOffset = useCallback(
+    (delta: number) => {
+      setAnnotationOffset((prev) => {
+        const next = prev + delta;
+        return Math.max(OFFSET_MIN, Math.min(OFFSET_MAX, next));
+      });
+    },
+    [setAnnotationOffset],
+  );
+
+  const reset = useCallback(() => {
+    setAnnotationOffset(0);
+  }, [setAnnotationOffset]);
+
+  const saveToConfig = useCallback(async () => {
+    if (!config || !event) return;
+
     setIsLoading(true);
-
-    saveToConfig(values.annotationOffset);
-  }
-
-  function onApply(values: z.infer<typeof formSchema>) {
-    if (
-      !values ||
-      values.annotationOffset === null ||
-      values.annotationOffset === "" ||
-      !config
-    ) {
-      return;
+    try {
+      const res = await axios.put(
+        `config/set?cameras.${event.camera}.detect.annotation_offset=${annotationOffset}`,
+        { requires_restart: 0 },
+      );
+      if (res.status === 200) {
+        toast.success(
+          t("trackingDetails.annotationSettings.offset.toast.success", {
+            camera: event.camera,
+          }),
+          { position: "top-center" },
+        );
+        updateConfig();
+      } else {
+        toast.error(
+          t("toast.save.error.title", {
+            errorMessage: res.statusText,
+            ns: "common",
+          }),
+          { position: "top-center" },
+        );
+      }
+    } catch (error: unknown) {
+      const err = error as {
+        response?: { data?: { message?: string; detail?: string } };
+      };
+      const errorMessage =
+        err?.response?.data?.message ||
+        err?.response?.data?.detail ||
+        "Unknown error";
+      toast.error(t("toast.save.error.title", { errorMessage, ns: "common" }), {
+        position: "top-center",
+      });
+    } finally {
+      setIsLoading(false);
     }
-    setAnnotationOffset(values.annotationOffset ?? 0);
-  }
+  }, [annotationOffset, config, event, updateConfig, t]);
 
   return (
     <div className="p-4">
@@ -140,91 +108,100 @@ export function AnnotationSettingsPane({
       </div>
 
       <Separator className="mb-4 flex bg-secondary" />
-      <Form {...form}>
-        <form
-          onSubmit={form.handleSubmit(onSubmit)}
-          className="flex flex-1 flex-col space-y-3"
-        >
-          <FormField
-            control={form.control}
-            name="annotationOffset"
-            render={({ field }) => (
-              <>
-                <FormItem className="flex flex-row items-start justify-between space-x-2">
-                  <div className="flex flex-col gap-1">
-                    <FormLabel>
-                      {t("trackingDetails.annotationSettings.offset.label")}
-                    </FormLabel>
-                    <FormDescription>
-                      <Trans ns="views/explore">
-                        trackingDetails.annotationSettings.offset.millisecondsToOffset
-                      </Trans>
-                      <FormMessage />
-                    </FormDescription>
-                  </div>
-                  <div className="flex flex-col gap-3">
-                    <div className="min-w-24">
-                      <FormControl>
-                        <Input
-                          className="text-md w-full border border-input bg-background p-2 text-center hover:bg-accent hover:text-accent-foreground dark:[color-scheme:dark]"
-                          placeholder="0"
-                          {...field}
-                        />
-                      </FormControl>
-                    </div>
-                  </div>
-                </FormItem>
-                <div className="mt-1 text-sm text-secondary-foreground">
-                  {t("trackingDetails.annotationSettings.offset.tips")}
-                  <div className="mt-2 flex items-center text-primary-variant">
-                    <Link
-                      to={getLocaleDocUrl("configuration/reference")}
-                      target="_blank"
-                      rel="noopener noreferrer"
-                      className="inline"
-                    >
-                      {t("readTheDocumentation", { ns: "common" })}
-                      <LuExternalLink className="ml-2 inline-flex size-3" />
-                    </Link>
-                  </div>
-                </div>
-              </>
-            )}
-          />
 
-          <div className="flex flex-1 flex-col justify-end">
-            <div className="flex flex-row gap-2 pt-5">
-              <Button
-                className="flex flex-1"
-                variant="default"
-                aria-label={t("button.apply", { ns: "common" })}
-                type="button"
-                onClick={form.handleSubmit(onApply)}
-              >
-                {t("button.apply", { ns: "common" })}
-              </Button>
-              {isAdmin && (
-                <Button
-                  variant="select"
-                  aria-label={t("button.save", { ns: "common" })}
-                  disabled={isLoading}
-                  className="flex flex-1"
-                  type="submit"
-                >
-                  {isLoading ? (
-                    <div className="flex flex-row items-center gap-2">
-                      <ActivityIndicator />
-                      <span>{t("button.saving", { ns: "common" })}</span>
-                    </div>
-                  ) : (
-                    t("button.save", { ns: "common" })
-                  )}
-                </Button>
-              )}
-            </div>
+      <div className="flex flex-col gap-4">
+        <div className="flex flex-col gap-1">
+          <div className="text-sm font-medium">
+            {t("trackingDetails.annotationSettings.offset.label")}
           </div>
-        </form>
-      </Form>
+          <div className="text-sm text-muted-foreground">
+            <Trans ns="views/explore">
+              trackingDetails.annotationSettings.offset.millisecondsToOffset
+            </Trans>
+          </div>
+        </div>
+
+        <div className="flex items-center gap-3">
+          <Button
+            type="button"
+            variant="outline"
+            size="icon"
+            className="size-8 shrink-0"
+            aria-label="-50ms"
+            onClick={() => stepOffset(-OFFSET_STEP)}
+            disabled={annotationOffset <= OFFSET_MIN}
+          >
+            <LuMinus className="size-4" />
+          </Button>
+          <Slider
+            value={[annotationOffset]}
+            min={OFFSET_MIN}
+            max={OFFSET_MAX}
+            step={OFFSET_STEP}
+            onValueChange={handleSliderChange}
+            className="flex-1"
+          />
+          <Button
+            type="button"
+            variant="outline"
+            size="icon"
+            className="size-8 shrink-0"
+            aria-label="+50ms"
+            onClick={() => stepOffset(OFFSET_STEP)}
+            disabled={annotationOffset >= OFFSET_MAX}
+          >
+            <LuPlus className="size-4" />
+          </Button>
+        </div>
+
+        <div className="flex items-center justify-between">
+          <span className="font-mono text-sm tabular-nums text-primary-variant">
+            {annotationOffset > 0 ? "+" : ""}
+            {annotationOffset}ms
+          </span>
+          <Button type="button" variant="ghost" size="sm" onClick={reset}>
+            {t("button.reset", { ns: "common" })}
+          </Button>
+        </div>
+
+        <div className="text-sm text-secondary-foreground">
+          {t("trackingDetails.annotationSettings.offset.tips")}
+          <div className="mt-2 flex items-center text-primary-variant">
+            <Link
+              to={getLocaleDocUrl(
+                "troubleshooting/dummy-camera#annotation-offset",
+              )}
+              target="_blank"
+              rel="noopener noreferrer"
+              className="inline"
+            >
+              {t("readTheDocumentation", { ns: "common" })}
+              <LuExternalLink className="ml-2 inline-flex size-3" />
+            </Link>
+          </div>
+        </div>
+
+        {isAdmin && (
+          <>
+            <Separator className="bg-secondary" />
+            <Button
+              variant="select"
+              aria-label={t("button.save", { ns: "common" })}
+              disabled={isLoading}
+              onClick={saveToConfig}
+            >
+              {isLoading ? (
+                <div className="flex flex-row items-center gap-2">
+                  <ActivityIndicator />
+                  <span>{t("button.saving", { ns: "common" })}</span>
+                </div>
+              ) : (
+                t("button.save", { ns: "common" })
+              )}
+            </Button>
+          </>
+        )}
+      </div>
     </div>
   );
 }

web/src/components/overlay/detail/SearchDetailDialog.tsx

@@ -323,6 +323,7 @@ function DialogContentComponent({
       <TrackingDetails
         className={cn(isDesktop ? "size-full" : "flex flex-col gap-4")}
         event={search as unknown as Event}
+        isAnnotationSettingsOpen={isPopoverOpen}
         tabs={
           isDesktop ? (
             <TabsWithActions
@@ -495,6 +496,15 @@ export default function SearchDetailDialog({
     }
   }, [search]);
 
+  useEffect(() => {
+    if (!isDesktop || !onPrevious || !onNext) {
+      setShowNavigationButtons(false);
+      return;
+    }
+
+    setShowNavigationButtons(isOpen);
+  }, [isOpen, onNext, onPrevious]);
+
   // show/hide annotation settings is handled inside TabsWithActions
 
   const searchTabs = useMemo(() => {

web/src/components/overlay/detail/TrackingDetails.tsx

@@ -47,12 +47,14 @@ type TrackingDetailsProps = {
   event: Event;
   fullscreen?: boolean;
   tabs?: React.ReactNode;
+  isAnnotationSettingsOpen?: boolean;
 };
 
 export function TrackingDetails({
   className,
   event,
   tabs,
+  isAnnotationSettingsOpen = false,
 }: TrackingDetailsProps) {
   const videoRef = useRef<HTMLVideoElement | null>(null);
   const { t } = useTranslation(["views/explore"]);
@@ -69,6 +71,14 @@ export function TrackingDetails({
   // user (eg, clicking a lifecycle row). When null we display `currentTime`.
   const [manualOverride, setManualOverride] = useState<number | null>(null);
 
+  // Capture the annotation offset used for building the video source URL.
+  // This only updates when the event changes, NOT on every slider drag,
+  // so the HLS player doesn't reload while the user is adjusting the offset.
+  const sourceOffsetRef = useRef(annotationOffset);
+  useEffect(() => {
+    sourceOffsetRef.current = annotationOffset;
+  }, [event.id]); // eslint-disable-line react-hooks/exhaustive-deps
+
   // event.start_time is detect time, convert to record, then subtract padding
   const [currentTime, setCurrentTime] = useState(
     (event.start_time ?? 0) + annotationOffset / 1000 - REVIEW_PADDING,
@@ -90,14 +100,19 @@ export function TrackingDetails({
 
   const { data: config } = useSWR<FrigateConfig>("config");
 
-  // Fetch recording segments for the event's time range to handle motion-only gaps
+  // Fetch recording segments for the event's time range to handle motion-only gaps.
+  // Use the source offset (stable per event) so recordings don't refetch on every
+  // slider drag while adjusting annotation offset.
   const eventStartRecord = useMemo(
-    () => (event.start_time ?? 0) + annotationOffset / 1000,
-    [event.start_time, annotationOffset],
+    () => (event.start_time ?? 0) + sourceOffsetRef.current / 1000,
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+    [event.start_time, event.id],
   );
   const eventEndRecord = useMemo(
-    () => (event.end_time ?? Date.now() / 1000) + annotationOffset / 1000,
-    [event.end_time, annotationOffset],
+    () =>
+      (event.end_time ?? Date.now() / 1000) + sourceOffsetRef.current / 1000,
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+    [event.end_time, event.id],
   );
 
   const { data: recordings } = useSWR<Recording[]>(
@@ -298,6 +313,53 @@ export function TrackingDetails({
     setSelectedObjectIds([event.id]);
   }, [event.id, setSelectedObjectIds]);
 
+  // When the annotation settings popover is open, pin the video to a specific
+  // lifecycle event (detect-stream timestamp). As the user drags the offset
+  // slider, the video re-seeks to show the recording frame at
+  // pinnedTimestamp + newOffset, while the bounding box stays fixed at the
+  // pinned detect timestamp. This lets the user visually align the box to
+  // the car in the video.
+  const pinnedDetectTimestampRef = useRef<number | null>(null);
+  const wasAnnotationOpenRef = useRef(false);
+
+  // On popover open: pause, pin first lifecycle item, and seek.
+  useEffect(() => {
+    if (isAnnotationSettingsOpen && !wasAnnotationOpenRef.current) {
+      if (videoRef.current && displaySource === "video") {
+        videoRef.current.pause();
+      }
+      if (eventSequence && eventSequence.length > 0) {
+        pinnedDetectTimestampRef.current = eventSequence[0].timestamp;
+      }
+    }
+    if (!isAnnotationSettingsOpen) {
+      pinnedDetectTimestampRef.current = null;
+    }
+    wasAnnotationOpenRef.current = isAnnotationSettingsOpen;
+  }, [isAnnotationSettingsOpen, displaySource, eventSequence]);
+
+  // When the pinned timestamp or offset changes, re-seek the video and
+  // explicitly update currentTime so the overlay shows the pinned event's box.
+  useEffect(() => {
+    const pinned = pinnedDetectTimestampRef.current;
+    if (!isAnnotationSettingsOpen || pinned == null) return;
+    if (!videoRef.current || displaySource !== "video") return;
+
+    const targetTimeRecord = pinned + annotationOffset / 1000;
+    const relativeTime = timestampToVideoTime(targetTimeRecord);
+    videoRef.current.currentTime = relativeTime;
+
+    // Explicitly update currentTime state so the overlay's effectiveCurrentTime
+    // resolves back to the pinned detect timestamp:
+    //   effectiveCurrentTime = targetTimeRecord - annotationOffset/1000 = pinned
+    setCurrentTime(targetTimeRecord);
+  }, [
+    isAnnotationSettingsOpen,
+    annotationOffset,
+    displaySource,
+    timestampToVideoTime,
+  ]);
+
   const handleLifecycleClick = useCallback(
     (item: TrackingDetailsSequence) => {
       if (!videoRef.current && !imgRef.current) return;
@@ -453,19 +515,23 @@ export function TrackingDetails({
 
   const videoSource = useMemo(() => {
     // event.start_time and event.end_time are in DETECT stream time
-    // Convert to record stream time, then create video clip with padding
-    const eventStartRecord = event.start_time + annotationOffset / 1000;
-    const eventEndRecord =
-      (event.end_time ?? Date.now() / 1000) + annotationOffset / 1000;
-    const startTime = eventStartRecord - REVIEW_PADDING;
-    const endTime = eventEndRecord + REVIEW_PADDING;
+    // Convert to record stream time, then create video clip with padding.
+    // Use sourceOffsetRef (stable per event) so the HLS player doesn't
+    // reload while the user is dragging the annotation offset slider.
+    const sourceOffset = sourceOffsetRef.current;
+    const eventStartRec = event.start_time + sourceOffset / 1000;
+    const eventEndRec =
+      (event.end_time ?? Date.now() / 1000) + sourceOffset / 1000;
+    const startTime = eventStartRec - REVIEW_PADDING;
+    const endTime = eventEndRec + REVIEW_PADDING;
     const playlist = `${baseUrl}vod/clip/${event.camera}/start/${startTime}/end/${endTime}/index.m3u8`;
 
     return {
       playlist,
       startPosition: 0,
     };
-  }, [event, annotationOffset]);
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [event]);
 
   // Determine camera aspect ratio category
   const cameraAspect = useMemo(() => {

web/src/components/timeline/DetailStream.tsx

@@ -1,4 +1,4 @@
-import { useEffect, useMemo, useRef, useState } from "react";
+import { useCallback, useEffect, useMemo, useRef, useState } from "react";
 import { TrackingDetailsSequence } from "@/types/timeline";
 import { getLifecycleItemDescription } from "@/utils/lifecycleUtil";
 import { useDetailStream } from "@/context/detail-stream-context";
@@ -33,6 +33,7 @@ import { MdAutoAwesome } from "react-icons/md";
 import { isPWA } from "@/utils/isPWA";
 import { isInIframe } from "@/utils/isIFrame";
 import { GenAISummaryDialog } from "../overlay/chip/GenAISummaryChip";
+import { Separator } from "../ui/separator";
 
 type DetailStreamProps = {
   reviewItems?: ReviewSegment[];
@@ -49,7 +50,8 @@ export default function DetailStream({
 }: DetailStreamProps) {
   const { data: config } = useSWR<FrigateConfig>("config");
   const { t } = useTranslation("views/events");
-  const { annotationOffset } = useDetailStream();
+  const { annotationOffset, selectedObjectIds, setSelectedObjectIds } =
+    useDetailStream();
   const scrollRef = useRef<HTMLDivElement>(null);
 
   const [activeReviewId, setActiveReviewId] = useState<string | undefined>(
@@ -67,9 +69,69 @@ export default function DetailStream({
     true,
   );
 
-  const onSeekCheckPlaying = (timestamp: number) => {
-    onSeek(timestamp, isPlaying);
-  };
+  // When the settings panel opens, pin to the nearest review with detections
+  // so the user can visually align the bounding box using the offset slider
+  const pinnedDetectTimestampRef = useRef<number | null>(null);
+  const wasControlsExpandedRef = useRef(false);
+  const selectedBeforeExpandRef = useRef<string[]>([]);
+
+  const onSeekCheckPlaying = useCallback(
+    (timestamp: number) => {
+      onSeek(timestamp, isPlaying);
+    },
+    [onSeek, isPlaying],
+  );
+
+  useEffect(() => {
+    if (controlsExpanded && !wasControlsExpandedRef.current) {
+      selectedBeforeExpandRef.current = selectedObjectIds;
+
+      const items = (reviewItems ?? []).filter(
+        (r) => r.data?.detections?.length > 0,
+      );
+      if (items.length > 0) {
+        // Pick the nearest review to current effective time
+        let nearest = items[0];
+        let minDiff = Math.abs(effectiveTime - nearest.start_time);
+        for (const r of items) {
+          const diff = Math.abs(effectiveTime - r.start_time);
+          if (diff < minDiff) {
+            nearest = r;
+            minDiff = diff;
+          }
+        }
+
+        const nearestId = `review-${nearest.id ?? nearest.start_time ?? Math.floor(nearest.start_time ?? 0)}`;
+        setActiveReviewId(nearestId);
+
+        const detectionId = nearest.data.detections[0];
+        setSelectedObjectIds([detectionId]);
+
+        // Use the detection's actual start timestamp (parsed from its ID)
+        // rather than review.start_time, which can be >10ms away from any
+        // lifecycle event and would fail the bounding-box TOLERANCE check.
+        const detectTimestamp = parseFloat(detectionId);
+        pinnedDetectTimestampRef.current = detectTimestamp;
+        const recordTime = detectTimestamp + annotationOffset / 1000;
+        onSeek(recordTime, false);
+      }
+    }
+    if (!controlsExpanded && wasControlsExpandedRef.current) {
+      pinnedDetectTimestampRef.current = null;
+      setSelectedObjectIds(selectedBeforeExpandRef.current);
+    }
+    wasControlsExpandedRef.current = controlsExpanded;
+    // Only trigger on expand/collapse transition
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [controlsExpanded]);
+
+  // Re-seek on annotation offset change while settings panel is open
+  useEffect(() => {
+    const pinned = pinnedDetectTimestampRef.current;
+    if (!controlsExpanded || pinned == null) return;
+    const recordTime = pinned + annotationOffset / 1000;
+    onSeek(recordTime, false);
+  }, [controlsExpanded, annotationOffset, onSeek]);
 
   // Ensure we initialize the active review when reviewItems first arrive.
   // This helps when the component mounts while the video is already
@@ -214,6 +276,12 @@ export default function DetailStream({
       />
 
       <div className="relative flex h-full flex-col">
+        {controlsExpanded && (
+          <div
+            className="absolute inset-0 z-20 cursor-pointer bg-black/50"
+            onClick={() => setControlsExpanded(false)}
+          />
+        )}
         <div
           ref={scrollRef}
           className="scrollbar-container flex-1 overflow-y-auto overflow-x-hidden pb-14"
@@ -267,8 +335,9 @@ export default function DetailStream({
             )}
           </button>
           {controlsExpanded && (
-            <div className="space-y-3 px-3 pb-3">
+            <div className="space-y-4 px-3 pb-5 pt-2">
               <AnnotationOffsetSlider />
+              <Separator />
               <div className="flex flex-col gap-1">
                 <div className="flex items-center justify-between">
                   <label className="text-sm font-medium">

web/src/hooks/use-overlay-state.tsx

@@ -1,4 +1,4 @@
-import { useCallback, useContext, useEffect, useMemo } from "react";
+import { useCallback, useContext, useEffect, useMemo, useRef } from "react";
 import { useLocation, useNavigate, useSearchParams } from "react-router-dom";
 import { usePersistence } from "./use-persistence";
 import { useUserPersistence } from "./use-user-persistence";
@@ -12,20 +12,28 @@ export function useOverlayState<S>(
   const location = useLocation();
   const navigate = useNavigate();
 
-  const currentLocationState = useMemo(() => location.state, [location]);
+  const locationRef = useRef(location);
+  locationRef.current = location;
 
   const setOverlayStateValue = useCallback(
     (value: S, replace: boolean = false) => {
-      const newLocationState = { ...currentLocationState };
+      const loc = locationRef.current;
+      const currentValue = loc.state?.[key] as S | undefined;
+
+      if (Object.is(currentValue, value)) {
+        return;
+      }
+
+      const newLocationState = { ...loc.state };
       newLocationState[key] = value;
-      navigate(location.pathname + (preserveSearch ? location.search : ""), {
+      navigate(loc.pathname + (preserveSearch ? loc.search : ""), {
         state: newLocationState,
         replace,
       });
     },
-    // we know that these deps are correct
+    // locationRef is stable so we don't need it in deps
     // eslint-disable-next-line react-hooks/exhaustive-deps
-    [key, currentLocationState, navigate],
+    [key, navigate, preserveSearch],
   );
 
   const overlayStateValue = useMemo<S | undefined>(
@@ -47,7 +55,9 @@ export function usePersistedOverlayState<S extends string>(
 ] {
   const location = useLocation();
   const navigate = useNavigate();
-  const currentLocationState = useMemo(() => location.state, [location]);
+
+  const locationRef = useRef(location);
+  locationRef.current = location;
 
   // currently selected value
 
@@ -63,14 +73,21 @@ export function usePersistedOverlayState<S extends string>(
 
   const setOverlayStateValue = useCallback(
     (value: S | undefined, replace: boolean = false) => {
+      const loc = locationRef.current;
+      const currentValue = loc.state?.[key] as S | undefined;
+
+      if (Object.is(currentValue, value)) {
+        return;
+      }
+
       setPersistedValue(value);
-      const newLocationState = { ...currentLocationState };
+      const newLocationState = { ...loc.state };
       newLocationState[key] = value;
-      navigate(location.pathname, { state: newLocationState, replace });
+      navigate(loc.pathname, { state: newLocationState, replace });
     },
-    // we know that these deps are correct
+    // locationRef is stable so we don't need it in deps
     // eslint-disable-next-line react-hooks/exhaustive-deps
-    [key, currentLocationState, navigate],
+    [key, navigate, setPersistedValue],
   );
 
   return [
@@ -98,7 +115,9 @@ export function useUserPersistedOverlayState<S extends string>(
   const { auth } = useContext(AuthContext);
   const location = useLocation();
   const navigate = useNavigate();
-  const currentLocationState = useMemo(() => location.state, [location]);
+
+  const locationRef = useRef(location);
+  locationRef.current = location;
 
   // currently selected value from URL state
   const overlayStateValue = useMemo<S | undefined>(
@@ -112,14 +131,21 @@ export function useUserPersistedOverlayState<S extends string>(
 
   const setOverlayStateValue = useCallback(
     (value: S | undefined, replace: boolean = false) => {
+      const loc = locationRef.current;
+      const currentValue = loc.state?.[key] as S | undefined;
+
+      if (Object.is(currentValue, value)) {
+        return;
+      }
+
       setPersistedValue(value);
-      const newLocationState = { ...currentLocationState };
+      const newLocationState = { ...loc.state };
       newLocationState[key] = value;
-      navigate(location.pathname, { state: newLocationState, replace });
+      navigate(loc.pathname, { state: newLocationState, replace });
     },
-    // we know that these deps are correct
+    // locationRef is stable so we don't need it in deps
     // eslint-disable-next-line react-hooks/exhaustive-deps
-    [key, currentLocationState, navigate, setPersistedValue],
+    [key, navigate, setPersistedValue],
   );
 
   // Don't return a value until auth has finished loading
@@ -142,17 +168,21 @@ export function useHashState<S extends string>(): [
   const location = useLocation();
   const navigate = useNavigate();
 
+  const locationRef = useRef(location);
+  locationRef.current = location;
+
   const setHash = useCallback(
     (value: S | undefined) => {
+      const loc = locationRef.current;
       if (!value) {
-        navigate(location.pathname);
+        navigate(loc.pathname);
       } else {
-        navigate(`${location.pathname}#${value}`, { state: location.state });
+        navigate(`${loc.pathname}#${value}`, { state: loc.state });
       }
     },
-    // we know that these deps are correct
+    // locationRef is stable so we don't need it in deps
     // eslint-disable-next-line react-hooks/exhaustive-deps
-    [location, navigate],
+    [navigate],
   );
 
   const hash = useMemo(

web/src/hooks/use-user-persistence.ts

@@ -116,6 +116,11 @@ export function useUserPersistence<S>(
       return;
     }
 
+    // Skip reload if we're already loaded for this key
+    if (loadedKeyRef.current === namespacedKey) {
+      return;
+    }
+
     // Reset state when key changes - this prevents stale writes
     loadedKeyRef.current = null;
     migrationAttemptedRef.current = false;

web/src/pages/Settings.tsx

@@ -479,14 +479,7 @@ const CAMERA_SELECT_BUTTON_PAGES = [
   "regionGrid",
 ];
 
-const ALLOWED_VIEWS_FOR_VIEWER = ["ui", "debug", "notifications"];
-
-const LARGE_BOTTOM_MARGIN_PAGES = [
-  "masksAndZones",
-  "motionTuner",
-  "mediaSync",
-  "regionGrid",
-];
+const ALLOWED_VIEWS_FOR_VIEWER = ["profileSettings", "notifications"];
 
 // keys for camera sections
 const CAMERA_SECTION_MAPPING: Record<string, SettingsType> = {
@@ -1362,9 +1355,9 @@ export default function Settings() {
           )}
         </div>
       </div>
-      <SidebarProvider>
-        <Sidebar variant="inset" className="relative mb-8 pl-0 pt-0">
-          <SidebarContent className="scrollbar-container mb-24 overflow-y-auto border-r-[1px] border-secondary bg-background py-2">
+      <SidebarProvider className="relative h-full min-h-0 flex-1">
+        <Sidebar variant="inset" className="absolute h-full pl-0 pt-0">
+          <SidebarContent className="scrollbar-container overflow-y-auto border-r-[1px] border-secondary bg-background py-2">
             <SidebarMenu>
               {settingsGroups.map((group) => {
                 const filteredItems = group.items.filter((item) =>
@@ -1452,8 +1445,7 @@ export default function Settings() {
         <SidebarInset>
           <div
             className={cn(
-              "scrollbar-container mb-16 flex-1 overflow-y-auto p-2 pr-0",
-              LARGE_BOTTOM_MARGIN_PAGES.includes(pageToggle) && "mb-24",
+              "scrollbar-container flex-1 overflow-y-auto pl-2 pr-0 pt-2",
             )}
           >
             {(() => {

web/src/utils/configUtil.ts

@@ -54,6 +54,20 @@ export const cameraUpdateTopicMap: Record<string, string> = {
   ui: "ui",
 };
 
+// Sections where global config serves as the default for per-camera config.
+// Global updates to these sections are fanned out to all cameras via wildcard.
+export const globalCameraDefaultSections = new Set([
+  "detect",
+  "objects",
+  "motion",
+  "record",
+  "snapshots",
+  "review",
+  "audio",
+  "notifications",
+  "ffmpeg",
+]);
+
 // ---------------------------------------------------------------------------
 // buildOverrides — pure recursive diff of current vs stored config & defaults
 // ---------------------------------------------------------------------------
@@ -476,6 +490,9 @@ export function prepareSectionSavePayload(opts: {
   if (level === "camera" && cameraName) {
     const topic = cameraUpdateTopicMap[sectionPath];
     updateTopic = topic ? `config/cameras/${cameraName}/${topic}` : undefined;
+  } else if (globalCameraDefaultSections.has(sectionPath)) {
+    const topic = cameraUpdateTopicMap[sectionPath];
+    updateTopic = topic ? `config/cameras/*/${topic}` : `config/${sectionPath}`;
   } else {
     updateTopic = `config/${sectionPath}`;
   }

web/src/utils/i18n.ts

@@ -40,23 +40,31 @@ i18n
       "common",
       "objects",
       "audio",
+      "components/auth",
       "components/camera",
       "components/dialog",
       "components/filter",
       "components/icons",
+      "components/input",
       "components/player",
-      "views/events",
       "views/chat",
+      "views/classificationModel",
+      "views/configEditor",
+      "views/events",
       "views/explore",
+      "views/exports",
+      "views/faceLibrary",
       "views/live",
+      "views/motionSearch",
+      "views/recording",
+      "views/replay",
+      "views/search",
       "views/settings",
       "views/system",
-      "views/exports",
-      "views/explore",
-      "config/global",
       "config/cameras",
-      "config/validation",
+      "config/global",
       "config/groups",
+      "config/validation",
     ],
     defaultNS: "common",
 

web/src/views/live/DraggableGridLayout.tsx

@@ -632,9 +632,10 @@ export default function DraggableGridLayout({
                   toggleStats={() => toggleStats(camera.name)}
                   volumeState={volumeStates[camera.name]}
                   setVolumeState={(value) =>
-                    setVolumeStates({
+                    setVolumeStates((prev) => ({
+                      ...prev,
                       [camera.name]: value,
-                    })
+                    }))
                   }
                   muteAll={muteAll}
                   unmuteAll={unmuteAll}

web/src/views/motion-search/MotionSearchView.tsx

@@ -131,12 +131,10 @@ export default function MotionSearchView({
   );
 
   // Camera previews – defer until dialog is closed
-  const allPreviews = useCameraPreviews(
-    isSearchDialogOpen ? { after: 0, before: 0 } : timeRange,
-    {
-      camera: selectedCamera ?? undefined,
-    },
-  );
+  const allPreviews = useCameraPreviews(timeRange, {
+    camera: selectedCamera ?? undefined,
+    fetchPreviews: !isSearchDialogOpen,
+  });
 
   // ROI state
   const [polygonPoints, setPolygonPoints] = useState<number[][]>([]);

web/src/views/settings/UiSettingsView.tsx

@@ -210,7 +210,7 @@ export default function UiSettingsView() {
   ];
 
   return (
-    <div className="flex size-full flex-col md:pb-8">
+    <div className="flex size-full flex-col">
       <Toaster position="top-center" closeButton={true} />
       <Heading as="h4" className="mb-3">
         {t("general.title")}