Improve System Health pane (#24188)

* build out system health pane

* tweaks

* fixes

* fix notice link so it opens the correct camera

* tweak language

docs/docs/troubleshooting/faqs.md

@@ -185,3 +185,5 @@ Filters and masks only hide the incorrect result - they don't teach Frigate what
 ### Where do I see problems Frigate has detected?
 
 Open System > Health. The Notices list shows problems the backend has noticed on its own, such as a camera whose ffmpeg keeps crashing, a detector that had to be restarted, a model download that failed, or recordings being deleted before their retention period. Entries that describe a one-time event can be dismissed; entries that describe an ongoing condition clear themselves once it is fixed.
+
+The Hardware section below the notices shows whether the detection hardware, hardware acceleration, and enrichment devices in your config were found and are being used, so a GPU that silently fell back to the CPU shows up as a warning. Run stream checks to probe every camera's streams for the same problems the camera wizard reports.

frigate/api/camera.py

@@ -302,7 +302,9 @@ def ffprobe(request: Request, paths: str = "", detailed: bool = False):
                     stderr_decoded = str(ffprobe.stderr)
 
             stderr_lines = [
-                line.strip() for line in stderr_decoded.split("\n") if line.strip()
+                clean_camera_user_pass(line.strip())
+                for line in stderr_decoded.split("\n")
+                if line.strip()
             ]
 
             result = {

frigate/data_processing/types.py

@@ -28,6 +28,7 @@ class DataProcessorMetrics:
     object_desc_dps: ValueProxy[float]
     classification_speeds: DictProxy[str, ValueProxy[float]]
     classification_cps: DictProxy[str, ValueProxy[float]]
+    runtime_devices: DictProxy[str, str]
 
     def __init__(self, manager: SyncManager, custom_classification_models: list[str]):
         self.image_embeddings_speed = manager.Value("d", 0.0)
@@ -46,6 +47,7 @@ class DataProcessorMetrics:
         self.object_desc_dps = manager.Value("d", 0.0)
         self.classification_speeds = manager.dict()
         self.classification_cps = manager.dict()
+        self.runtime_devices = manager.dict()
 
         if custom_classification_models:
             for key in custom_classification_models:

frigate/detectors/detection_runners.py

@@ -18,6 +18,36 @@ logger = logging.getLogger(__name__)
 # Process-wide lock serializing all OpenVINO compile/inference calls
 _OPENVINO_LOCK = threading.Lock()
 
+# model file path -> (model type, device the runner actually loaded on); the
+# embeddings maintainer folds this per enrichment for the stats endpoint.
+# Models load on several threads (reindex, lazy first use), so writes and
+# snapshots go through the lock.
+loaded_devices: dict[str, tuple[str, str]] = {}
+_loaded_devices_lock = threading.Lock()
+
+
+def record_loaded_device(model_path: str, model_type: str, device: str) -> None:
+    """Record the device a model loaded on, for the enrichment stats."""
+    with _loaded_devices_lock:
+        loaded_devices[model_path] = (model_type, device)
+
+    logger.info("Loaded %s model on %s", model_type, device)
+
+
+def snapshot_loaded_devices() -> dict[str, tuple[str, str]]:
+    """A copy that is safe to iterate while other threads load models."""
+    with _loaded_devices_lock:
+        return dict(loaded_devices)
+
+
+_PROVIDER_LABELS = {
+    "CUDAExecutionProvider": "CUDA",
+    "TensorrtExecutionProvider": "TensorRT",
+    "MIGraphXExecutionProvider": "MIGraphX",
+    "OpenVINOExecutionProvider": "OpenVINO",
+    "CPUExecutionProvider": "CPU",
+}
+
 
 def is_arm64_platform() -> bool:
     """Check if we're running on an ARM platform."""
@@ -117,6 +147,12 @@ class BaseModelRunner(ABC):
         """Run inference with the model."""
         pass
 
+    @property
+    @abstractmethod
+    def device_name(self) -> str:
+        """Short label of the device the model actually loaded on."""
+        pass
+
 
 class ONNXModelRunner(BaseModelRunner):
     """Run ONNX models using ONNX Runtime."""
@@ -174,6 +210,18 @@ class ONNXModelRunner(BaseModelRunner):
 
         return self.ort.run(None, input)
 
+    @property
+    def device_name(self) -> str:
+        providers = self.ort.get_providers()
+
+        if not providers:
+            return "CPU"
+
+        provider = providers[0]
+        return _PROVIDER_LABELS.get(
+            provider, provider.removesuffix("ExecutionProvider")
+        )
+
 
 class CudaGraphRunner(BaseModelRunner):
     """Encapsulates CUDA Graph capture and replay using ONNX Runtime IOBinding.
@@ -261,6 +309,10 @@ class CudaGraphRunner(BaseModelRunner):
         self._session.run_with_iobinding(self._io_binding, ro)
         return self._io_binding.copy_outputs_to_cpu()
 
+    @property
+    def device_name(self) -> str:
+        return "CUDA"
+
 
 class OpenVINOModelRunner(BaseModelRunner):
     """OpenVINO model runner that handles inference efficiently."""
@@ -337,6 +389,8 @@ class OpenVINOModelRunner(BaseModelRunner):
         if device == "NPU" and OpenVINOModelRunner.is_detection_model(model_type):
             compile_config["NPU_TURBO"] = "YES"
 
+        self.compiled_device = device
+
         # Compile model under the shared lock
         with _OPENVINO_LOCK:
             try:
@@ -368,6 +422,22 @@ class OpenVINOModelRunner(BaseModelRunner):
                 # model is complex and has dynamic shape
                 pass
 
+    @property
+    def device_name(self) -> str:
+        device = self.compiled_device
+
+        if device == "AUTO":
+            try:
+                resolved = self.compiled_model.get_property("EXECUTION_DEVICES")
+
+                if resolved:
+                    device = ",".join(str(d) for d in resolved)
+            except Exception:
+                # older OpenVINO builds do not expose the property
+                pass
+
+        return f"OpenVINO {device}"
+
     def get_input_names(self) -> list[str]:
         """Get input names for the model."""
         return [input.get_any_name() for input in self.compiled_model.inputs]
@@ -515,6 +585,10 @@ class RKNNModelRunner(BaseModelRunner):
             logger.error(f"Error loading RKNN model: {e}")
             raise
 
+    @property
+    def device_name(self) -> str:
+        return "RKNN"
+
     def get_input_names(self) -> list[str]:
         """Get input names for the model."""
         # For detection models, we typically use "input" as the default input name
@@ -595,6 +669,14 @@ class RKNNModelRunner(BaseModelRunner):
                 pass
 
 
+def _record_runner(
+    model_path: str, model_type: str, runner: BaseModelRunner
+) -> BaseModelRunner:
+    """Record the device a freshly loaded runner ended up on."""
+    record_loaded_device(model_path, model_type, runner.device_name)
+    return runner
+
+
 def get_optimized_runner(
     model_path: str, device: str | None, model_type: str, **kwargs
 ) -> BaseModelRunner:
@@ -605,7 +687,7 @@ def get_optimized_runner(
         rknn_path = auto_convert_model(model_path)
 
         if rknn_path:
-            return RKNNModelRunner(rknn_path)
+            return _record_runner(model_path, model_type, RKNNModelRunner(rknn_path))
 
     providers, options = get_ort_providers(device == "CPU", device, **kwargs)
 
@@ -614,7 +696,11 @@ def get_optimized_runner(
         # In other images we will get CUDA / ROCm which are preferred over OpenVINO
         # There is currently no way to prioritize OpenVINO over CUDA / ROCm in these images
         if device != "CPU" and is_openvino_gpu_npu_available():
-            return OpenVINOModelRunner(model_path, device, model_type, **kwargs)
+            return _record_runner(
+                model_path,
+                model_type,
+                OpenVINOModelRunner(model_path, device, model_type, **kwargs),
+            )
 
     if (
         CudaGraphRunner.is_model_supported(model_type)
@@ -624,13 +710,17 @@ def get_optimized_runner(
             **options[0],
             "enable_cuda_graph": True,
         }
-        return CudaGraphRunner(
-            ort.InferenceSession(
-                model_path,
-                providers=providers,
-                provider_options=options,
+        return _record_runner(
+            model_path,
+            model_type,
+            CudaGraphRunner(
+                ort.InferenceSession(
+                    model_path,
+                    providers=providers,
+                    provider_options=options,
+                ),
+                options[0]["device_id"],
             ),
-            options[0]["device_id"],
         )
 
     if (
@@ -642,12 +732,16 @@ def get_optimized_runner(
         providers.pop(0)
         options.pop(0)
 
-    return ONNXModelRunner(
-        ort.InferenceSession(
-            model_path,
-            sess_options=get_ort_session_options(model_type),
-            providers=providers,
-            provider_options=options,
+    return _record_runner(
+        model_path,
+        model_type,
+        ONNXModelRunner(
+            ort.InferenceSession(
+                model_path,
+                sess_options=get_ort_session_options(model_type),
+                providers=providers,
+                provider_options=options,
+            ),
+            model_type=model_type,
         ),
-        model_type=model_type,
     )

frigate/embeddings/maintainer.py

@@ -60,6 +60,8 @@ from frigate.data_processing.real_time.license_plate import (
 )
 from frigate.data_processing.types import DataProcessorMetrics, PostProcessDataEnum
 from frigate.db.sqlitevecq import SqliteVecQueueDatabase
+from frigate.detectors.detection_runners import snapshot_loaded_devices
+from frigate.embeddings.types import fold_runtime_devices
 from frigate.events.types import (
     EventStateEnum,
     EventTypeEnum,
@@ -101,6 +103,7 @@ class EmbeddingMaintainer(threading.Thread):
         super().__init__(name="embeddings_maintainer")
         self.config = config
         self.metrics = metrics
+        self._published_devices: dict[str, str] = {}
         self.embeddings = None
         self.config_updater = CameraConfigUpdateSubscriber(
             self.config,
@@ -337,6 +340,7 @@ class EmbeddingMaintainer(threading.Thread):
             self._expire_dedicated_lpr()
             self._process_finalized()
             self._process_event_metadata()
+            self._publish_runtime_devices()
 
         # Shutdown deferred processors
         for processor in self.realtime_processors:
@@ -738,6 +742,19 @@ class EmbeddingMaintainer(threading.Thread):
                 if isinstance(processor, ReviewDescriptionProcessor):
                     processor.process_data(review_updates, PostProcessDataEnum.review)
 
+    def _publish_runtime_devices(self) -> None:
+        """Push each enrichment's loaded device to the shared metrics dict.
+
+        Runs every loop iteration, so only changed entries cross the manager
+        boundary.
+        """
+        for enrichment, device in fold_runtime_devices(
+            snapshot_loaded_devices()
+        ).items():
+            if self._published_devices.get(enrichment) != device:
+                self.metrics.runtime_devices[enrichment] = device
+                self._published_devices[enrichment] = device
+
     def _process_event_metadata(self):
         # Check for regenerate description requests
         (topic, payload) = self.event_metadata_subscriber.check_for_update()

frigate/embeddings/onnx/face_embedding.py

@@ -6,7 +6,10 @@ import os
 import numpy as np
 
 from frigate.const import MODEL_CACHE_DIR
-from frigate.detectors.detection_runners import get_optimized_runner
+from frigate.detectors.detection_runners import (
+    get_optimized_runner,
+    record_loaded_device,
+)
 from frigate.embeddings.types import EnrichmentModelTypeEnum
 from frigate.log import suppress_stderr_during
 from frigate.util.downloader import ModelDownloader
@@ -62,13 +65,18 @@ class FaceNetEmbedding(BaseEmbedding):
             if self.downloader:
                 self.downloader.wait_for_download()
 
+            model_path = os.path.join(MODEL_CACHE_DIR, "facedet/facenet.tflite")
+
             # Suppress TFLite delegate creation messages that bypass Python logging
             with suppress_stderr_during("tflite_interpreter_init"):
-                self.runner = Interpreter(
-                    model_path=os.path.join(MODEL_CACHE_DIR, "facedet/facenet.tflite"),
-                    num_threads=2,
-                )
+                self.runner = Interpreter(model_path=model_path, num_threads=2)
                 self.runner.allocate_tensors()
+
+            # tflite never goes through get_optimized_runner, so the small face
+            # model would otherwise never report a device
+            record_loaded_device(
+                model_path, EnrichmentModelTypeEnum.facenet.value, "CPU"
+            )
             self.tensor_input_details = self.runner.get_input_details()
             self.tensor_output_details = self.runner.get_output_details()
 

frigate/embeddings/types.py

@@ -13,3 +13,37 @@ class EnrichmentModelTypeEnum(str, Enum):
     jina_v2 = "jina_v2"
     paddleocr = "paddleocr"
     yolov9_license_plate = "yolov9_license_plate"
+
+
+# which enrichment each model type belongs to; the single place this lives
+ENRICHMENT_FOR_MODEL_TYPE: dict[str, str] = {
+    EnrichmentModelTypeEnum.arcface.value: "face_recognition",
+    EnrichmentModelTypeEnum.facenet.value: "face_recognition",
+    EnrichmentModelTypeEnum.jina_v1.value: "semantic_search",
+    EnrichmentModelTypeEnum.jina_v2.value: "semantic_search",
+    EnrichmentModelTypeEnum.paddleocr.value: "lpr",
+    EnrichmentModelTypeEnum.yolov9_license_plate.value: "lpr",
+}
+
+
+def fold_runtime_devices(loaded: dict[str, tuple[str, str]]) -> dict[str, str]:
+    """One device per enrichment from the per model registry.
+
+    A non CPU device wins so a model pinned to the CPU on purpose (the Jina V1
+    text model) does not hide the accelerator its sibling loaded on, while an
+    enrichment whose models all fell back to the CPU still reports CPU.
+    """
+    folded: dict[str, str] = {}
+
+    for model_type, device in loaded.values():
+        enrichment = ENRICHMENT_FOR_MODEL_TYPE.get(model_type)
+
+        if enrichment is None:
+            continue
+
+        current = folded.get(enrichment)
+
+        if current is None or ("CPU" in current and "CPU" not in device):
+            folded[enrichment] = device
+
+    return folded

frigate/stats/util.py

@@ -136,6 +136,86 @@ def get_detector_stats(
     return detector_stats
 
 
+def embeddings_stats(
+    config: FrigateConfig, embeddings_metrics: DataProcessorMetrics | None
+) -> dict[str, Any]:
+    """Enrichment speed metrics plus the device each enrichment loaded on."""
+    stats: dict[str, Any] = {}
+
+    if not embeddings_metrics:
+        return stats
+
+    # Add metrics based on what's enabled
+    if config.semantic_search.enabled:
+        stats.update(
+            {
+                "image_embedding_speed": round(
+                    embeddings_metrics.image_embeddings_speed.value * 1000, 2
+                ),
+                "image_embedding": round(
+                    embeddings_metrics.image_embeddings_eps.value, 2
+                ),
+                "text_embedding_speed": round(
+                    embeddings_metrics.text_embeddings_speed.value * 1000, 2
+                ),
+                "text_embedding": round(
+                    embeddings_metrics.text_embeddings_eps.value, 2
+                ),
+            }
+        )
+
+    if config.face_recognition.enabled:
+        stats["face_recognition_speed"] = round(
+            embeddings_metrics.face_rec_speed.value * 1000, 2
+        )
+        stats["face_recognition"] = round(embeddings_metrics.face_rec_fps.value, 2)
+
+    if config.lpr.enabled:
+        stats["plate_recognition_speed"] = round(
+            embeddings_metrics.alpr_speed.value * 1000, 2
+        )
+        stats["plate_recognition"] = round(embeddings_metrics.alpr_pps.value, 2)
+
+        if embeddings_metrics.yolov9_lpr_pps.value > 0.0:
+            stats["yolov9_plate_detection_speed"] = round(
+                embeddings_metrics.yolov9_lpr_speed.value * 1000, 2
+            )
+            stats["yolov9_plate_detection"] = round(
+                embeddings_metrics.yolov9_lpr_pps.value, 2
+            )
+
+    if embeddings_metrics.review_desc_speed.value > 0.0:
+        stats["review_description_speed"] = round(
+            embeddings_metrics.review_desc_speed.value * 1000, 2
+        )
+        stats["review_description_events_per_second"] = round(
+            embeddings_metrics.review_desc_dps.value, 2
+        )
+
+    if embeddings_metrics.object_desc_speed.value > 0.0:
+        stats["object_description_speed"] = round(
+            embeddings_metrics.object_desc_speed.value * 1000, 2
+        )
+        stats["object_description_events_per_second"] = round(
+            embeddings_metrics.object_desc_dps.value, 2
+        )
+
+    for key in embeddings_metrics.classification_speeds.keys():
+        stats[f"{key}_classification_speed"] = round(
+            embeddings_metrics.classification_speeds[key].value * 1000, 2
+        )
+        stats[f"{key}_classification_events_per_second"] = round(
+            embeddings_metrics.classification_cps[key].value, 2
+        )
+
+    devices = dict(embeddings_metrics.runtime_devices)
+
+    if devices:
+        stats["devices"] = devices
+
+    return stats
+
+
 def stats_snapshot(
     config: FrigateConfig,
     stats_tracking: StatsTrackingTypes,
@@ -209,78 +289,9 @@ def stats_snapshot(
     stats["skipped_fps"] = round(total_skipped_fps, 2)
     stats["detection_fps"] = round(total_detection_fps, 2)
 
-    stats["embeddings"] = {}
-
-    # Get metrics if available
-    embeddings_metrics = stats_tracking.get("embeddings_metrics")
-
-    if embeddings_metrics:
-        # Add metrics based on what's enabled
-        if config.semantic_search.enabled:
-            stats["embeddings"].update(
-                {
-                    "image_embedding_speed": round(
-                        embeddings_metrics.image_embeddings_speed.value * 1000, 2
-                    ),
-                    "image_embedding": round(
-                        embeddings_metrics.image_embeddings_eps.value, 2
-                    ),
-                    "text_embedding_speed": round(
-                        embeddings_metrics.text_embeddings_speed.value * 1000, 2
-                    ),
-                    "text_embedding": round(
-                        embeddings_metrics.text_embeddings_eps.value, 2
-                    ),
-                }
-            )
-
-        if config.face_recognition.enabled:
-            stats["embeddings"]["face_recognition_speed"] = round(
-                embeddings_metrics.face_rec_speed.value * 1000, 2
-            )
-            stats["embeddings"]["face_recognition"] = round(
-                embeddings_metrics.face_rec_fps.value, 2
-            )
-
-        if config.lpr.enabled:
-            stats["embeddings"]["plate_recognition_speed"] = round(
-                embeddings_metrics.alpr_speed.value * 1000, 2
-            )
-            stats["embeddings"]["plate_recognition"] = round(
-                embeddings_metrics.alpr_pps.value, 2
-            )
-
-            if embeddings_metrics.yolov9_lpr_pps.value > 0.0:
-                stats["embeddings"]["yolov9_plate_detection_speed"] = round(
-                    embeddings_metrics.yolov9_lpr_speed.value * 1000, 2
-                )
-                stats["embeddings"]["yolov9_plate_detection"] = round(
-                    embeddings_metrics.yolov9_lpr_pps.value, 2
-                )
-
-        if embeddings_metrics.review_desc_speed.value > 0.0:
-            stats["embeddings"]["review_description_speed"] = round(
-                embeddings_metrics.review_desc_speed.value * 1000, 2
-            )
-            stats["embeddings"]["review_description_events_per_second"] = round(
-                embeddings_metrics.review_desc_dps.value, 2
-            )
-
-        if embeddings_metrics.object_desc_speed.value > 0.0:
-            stats["embeddings"]["object_description_speed"] = round(
-                embeddings_metrics.object_desc_speed.value * 1000, 2
-            )
-            stats["embeddings"]["object_description_events_per_second"] = round(
-                embeddings_metrics.object_desc_dps.value, 2
-            )
-
-        for key in embeddings_metrics.classification_speeds.keys():
-            stats["embeddings"][f"{key}_classification_speed"] = round(
-                embeddings_metrics.classification_speeds[key].value * 1000, 2
-            )
-            stats["embeddings"][f"{key}_classification_events_per_second"] = round(
-                embeddings_metrics.classification_cps[key].value, 2
-            )
+    stats["embeddings"] = embeddings_stats(
+        config, stats_tracking.get("embeddings_metrics")
+    )
 
     hardware_stats.update_stats(stats)
 

frigate/test/http_api/test_http_ffprobe.py

@@ -0,0 +1,37 @@
+"""Tests for credential scrubbing in the ffprobe API."""
+
+from types import SimpleNamespace
+from unittest.mock import patch
+
+from fastapi.testclient import TestClient
+
+from frigate.test.http_api.base_http_test import AuthTestClient, BaseTestHttp
+
+
+class TestHttpFfprobe(BaseTestHttp):
+    def setUp(self):
+        super().setUp([])
+        self.app = self.create_app()
+
+    def client(self) -> TestClient:
+        return AuthTestClient(self.app)
+
+    def test_failed_probe_scrubs_credentials_from_stderr(self):
+        failed = SimpleNamespace(
+            returncode=1,
+            stdout=b"",
+            stderr=(
+                b"[tcp @ 0x1] Connection to tcp://10.0.0.1:554 failed\n"
+                b"rtsp://admin:hunter2@10.0.0.1:554/video: Connection refused\n"
+            ),
+        )
+
+        with patch("frigate.api.camera.ffprobe_stream", return_value=failed):
+            with self.client() as client:
+                response = client.get("/ffprobe", params={"paths": "camera:front_door"})
+
+        self.assertEqual(response.status_code, 200)
+        lines = response.json()[0]["stderr"]
+        self.assertEqual(len(lines), 2)
+        self.assertNotIn("hunter2", " ".join(lines))
+        self.assertEqual(lines[1], "rtsp://*:*@10.0.0.1:554/video: Connection refused")

frigate/test/test_facenet_device.py

@@ -0,0 +1,28 @@
+"""Tests that the tflite face model reports a runtime device."""
+
+import unittest
+from unittest.mock import MagicMock, patch
+
+from frigate.detectors.detection_runners import loaded_devices, snapshot_loaded_devices
+
+try:
+    from frigate.embeddings.onnx import face_embedding
+except ImportError:  # tflite runtime is not installed everywhere
+    face_embedding = None
+
+
+@unittest.skipIf(face_embedding is None, "tflite runtime not available")
+class TestFaceNetDevice(unittest.TestCase):
+    def setUp(self):
+        loaded_devices.clear()
+
+    def test_facenet_records_cpu(self):
+        with (
+            patch.object(face_embedding, "Interpreter", return_value=MagicMock()),
+            patch.object(face_embedding.os.path, "exists", return_value=True),
+        ):
+            embedding = face_embedding.FaceNetEmbedding()
+
+        recorded = list(snapshot_loaded_devices().values())
+        self.assertEqual(recorded, [("facenet", "CPU")])
+        self.assertIsNotNone(embedding.runner)

frigate/test/test_model_downloader.py

@@ -100,3 +100,58 @@ class TestModelDownloadNotice(unittest.TestCase):
             [n["scope"] for n in self._notice_calls(sibling.requestor)],
             ["paddleocr-onnx/det.onnx"],
         )
+
+
+class TestModelDownloadState(unittest.TestCase):
+    """A failed download marks the model state as error, not stuck downloading."""
+
+    def setUp(self):
+        self.download_path = tempfile.mkdtemp()
+        downloader.last_download_error.clear()
+
+    def _state_calls(self, requestor: MagicMock) -> list[dict]:
+        return [
+            call.args[1]
+            for call in requestor.send_data.call_args_list
+            if call.args[0] == "update_model_state"
+        ]
+
+    def _downloader(self, download_func) -> ModelDownloader:
+        with patch("frigate.util.downloader.InterProcessRequestor"):
+            return ModelDownloader(
+                "facedet", self.download_path, ["facedet.onnx"], download_func
+            )
+
+    def test_raising_download_marks_error(self):
+        def failing(path: str) -> None:
+            raise RuntimeError("boom")
+
+        model_downloader = self._downloader(failing)
+
+        with self.assertRaises(RuntimeError):
+            model_downloader._download_models()
+
+        states = self._state_calls(model_downloader.requestor)
+        self.assertEqual(states[-1]["state"], "error")
+        self.assertEqual(states[-1]["model"], "facedet-facedet.onnx")
+
+    def test_missing_file_marks_error(self):
+        def swallowing(path: str) -> None:
+            pass
+
+        model_downloader = self._downloader(swallowing)
+        model_downloader._download_models()
+
+        states = self._state_calls(model_downloader.requestor)
+        self.assertEqual([s["state"] for s in states], ["error"])
+
+    def test_success_marks_downloaded(self):
+        def succeeding(path: str) -> None:
+            with open(path, "w") as f:
+                f.write("model")
+
+        model_downloader = self._downloader(succeeding)
+        model_downloader._download_models()
+
+        states = self._state_calls(model_downloader.requestor)
+        self.assertEqual([s["state"] for s in states], ["downloaded"])

frigate/test/test_runner_devices.py

@@ -0,0 +1,131 @@
+"""Tests for the device each model runner reports after loading."""
+
+import threading
+import unittest
+from unittest.mock import MagicMock, patch
+
+from frigate.detectors import detection_runners
+from frigate.detectors.detection_runners import (
+    CudaGraphRunner,
+    ONNXModelRunner,
+    OpenVINOModelRunner,
+    RKNNModelRunner,
+    get_optimized_runner,
+    loaded_devices,
+    record_loaded_device,
+    snapshot_loaded_devices,
+)
+
+
+class TestRunnerDeviceName(unittest.TestCase):
+    def _onnx(self, providers: list[str]) -> ONNXModelRunner:
+        session = MagicMock()
+        session.get_providers.return_value = providers
+        return ONNXModelRunner(session, "arcface")
+
+    def test_onnx_provider_names(self):
+        self.assertEqual(
+            self._onnx(["CUDAExecutionProvider", "CPUExecutionProvider"]).device_name,
+            "CUDA",
+        )
+        self.assertEqual(
+            self._onnx(["TensorrtExecutionProvider"]).device_name, "TensorRT"
+        )
+        self.assertEqual(
+            self._onnx(["MIGraphXExecutionProvider"]).device_name, "MIGraphX"
+        )
+        self.assertEqual(
+            self._onnx(["OpenVINOExecutionProvider"]).device_name, "OpenVINO"
+        )
+        self.assertEqual(self._onnx(["CPUExecutionProvider"]).device_name, "CPU")
+        self.assertEqual(self._onnx(["ROCMExecutionProvider"]).device_name, "ROCM")
+        self.assertEqual(self._onnx([]).device_name, "CPU")
+
+    def test_cuda_graph_runner(self):
+        runner = CudaGraphRunner(MagicMock(), 0)
+        self.assertEqual(runner.device_name, "CUDA")
+
+    def test_openvino_reports_compiled_device(self):
+        runner = OpenVINOModelRunner.__new__(OpenVINOModelRunner)
+        runner.compiled_device = "GPU"
+        runner.compiled_model = MagicMock()
+        self.assertEqual(runner.device_name, "OpenVINO GPU")
+
+    def test_openvino_auto_resolves_execution_device(self):
+        runner = OpenVINOModelRunner.__new__(OpenVINOModelRunner)
+        runner.compiled_device = "AUTO"
+        runner.compiled_model = MagicMock()
+        runner.compiled_model.get_property.return_value = ["GPU.0"]
+        self.assertEqual(runner.device_name, "OpenVINO GPU.0")
+        runner.compiled_model.get_property.side_effect = RuntimeError("no prop")
+        self.assertEqual(runner.device_name, "OpenVINO AUTO")
+
+    def test_rknn(self):
+        runner = RKNNModelRunner.__new__(RKNNModelRunner)
+        self.assertEqual(runner.device_name, "RKNN")
+
+
+class TestLoadRegistry(unittest.TestCase):
+    def setUp(self):
+        loaded_devices.clear()
+
+    def test_get_optimized_runner_records_device(self):
+        session = MagicMock()
+        session.get_providers.return_value = ["CPUExecutionProvider"]
+
+        with (
+            patch.object(detection_runners, "is_rknn_compatible", return_value=False),
+            patch.object(
+                detection_runners,
+                "get_ort_providers",
+                return_value=(["CPUExecutionProvider"], [{}]),
+            ),
+            patch.object(
+                detection_runners, "is_openvino_gpu_npu_available", return_value=False
+            ),
+            patch.object(
+                detection_runners.ort, "InferenceSession", return_value=session
+            ),
+            patch.object(
+                detection_runners, "get_ort_session_options", return_value=None
+            ),
+        ):
+            runner = get_optimized_runner("/models/arcface.onnx", "GPU", "arcface")
+
+        self.assertIsInstance(runner, ONNXModelRunner)
+        self.assertEqual(loaded_devices["/models/arcface.onnx"], ("arcface", "CPU"))
+
+
+class TestLoadedDeviceSnapshot(unittest.TestCase):
+    def setUp(self):
+        loaded_devices.clear()
+
+    def test_record_and_snapshot_copy(self):
+        record_loaded_device("/m/a.onnx", "arcface", "CUDA")
+
+        snapshot = snapshot_loaded_devices()
+        self.assertEqual(snapshot, {"/m/a.onnx": ("arcface", "CUDA")})
+
+        # a copy, so a load on another thread cannot disturb a fold in progress
+        record_loaded_device("/m/b.onnx", "jina_v1", "CPU")
+        self.assertNotIn("/m/b.onnx", snapshot)
+        self.assertIn("/m/b.onnx", loaded_devices)
+
+    def test_snapshot_survives_concurrent_inserts(self):
+        stop = threading.Event()
+
+        def writer() -> None:
+            i = 0
+            while not stop.is_set():
+                record_loaded_device(f"/m/{i}.onnx", "paddleocr", "CPU")
+                i += 1
+
+        thread = threading.Thread(target=writer, daemon=True)
+        thread.start()
+        try:
+            for _ in range(200):
+                for _entry in snapshot_loaded_devices().values():
+                    pass
+        finally:
+            stop.set()
+            thread.join(timeout=5)

frigate/test/test_runtime_device_fold.py

@@ -0,0 +1,108 @@
+"""Tests for folding loaded model devices per enrichment and emitting them."""
+
+import unittest
+from types import SimpleNamespace
+
+from frigate.config import FrigateConfig
+from frigate.embeddings.types import ENRICHMENT_FOR_MODEL_TYPE, fold_runtime_devices
+from frigate.stats.util import embeddings_stats
+
+
+class TestFoldRuntimeDevices(unittest.TestCase):
+    def test_every_enrichment_model_type_is_mapped(self):
+        self.assertEqual(
+            set(ENRICHMENT_FOR_MODEL_TYPE),
+            {
+                "arcface",
+                "facenet",
+                "jina_v1",
+                "jina_v2",
+                "paddleocr",
+                "yolov9_license_plate",
+            },
+        )
+
+    def test_non_cpu_wins_within_an_enrichment(self):
+        # jina v1 pins its text model to the CPU by design
+        loaded = {
+            "/m/jina_v1_text.onnx": ("jina_v1", "CPU"),
+            "/m/jina_v1_vision.onnx": ("jina_v1", "OpenVINO GPU"),
+        }
+        self.assertEqual(
+            fold_runtime_devices(loaded), {"semantic_search": "OpenVINO GPU"}
+        )
+
+    def test_all_cpu_stays_cpu(self):
+        loaded = {
+            "/m/jina_v1_text.onnx": ("jina_v1", "CPU"),
+            "/m/jina_v1_vision.onnx": ("jina_v1", "CPU"),
+        }
+        self.assertEqual(fold_runtime_devices(loaded), {"semantic_search": "CPU"})
+
+    def test_detector_models_are_ignored(self):
+        loaded = {"/m/yolo.onnx": ("yolov9", "CUDA")}
+        self.assertEqual(fold_runtime_devices(loaded), {})
+
+    def test_lpr_and_face(self):
+        loaded = {
+            "/m/det.onnx": ("paddleocr", "CUDA"),
+            "/m/rec.onnx": ("paddleocr", "CUDA"),
+            "/m/arcface.onnx": ("arcface", "CPU"),
+        }
+        self.assertEqual(
+            fold_runtime_devices(loaded), {"lpr": "CUDA", "face_recognition": "CPU"}
+        )
+
+
+def _metrics(devices: dict[str, str]) -> SimpleNamespace:
+    value = SimpleNamespace(value=0.0)
+    return SimpleNamespace(
+        image_embeddings_speed=value,
+        image_embeddings_eps=value,
+        text_embeddings_speed=value,
+        text_embeddings_eps=value,
+        face_rec_speed=value,
+        face_rec_fps=value,
+        alpr_speed=value,
+        alpr_pps=value,
+        yolov9_lpr_speed=value,
+        yolov9_lpr_pps=value,
+        review_desc_speed=value,
+        review_desc_dps=value,
+        object_desc_speed=value,
+        object_desc_dps=value,
+        classification_speeds={},
+        classification_cps={},
+        runtime_devices=devices,
+    )
+
+
+class TestEmbeddingsStats(unittest.TestCase):
+    def setUp(self):
+        self.config = FrigateConfig(
+            **{
+                "mqtt": {"host": "mqtt"},
+                "face_recognition": {"enabled": True},
+                "cameras": {
+                    "front_door": {
+                        "ffmpeg": {
+                            "inputs": [
+                                {
+                                    "path": "rtsp://10.0.0.1:554/video",
+                                    "roles": ["detect"],
+                                }
+                            ]
+                        }
+                    }
+                },
+            }
+        )
+
+    def test_devices_emitted_when_present(self):
+        stats = embeddings_stats(self.config, _metrics({"face_recognition": "CUDA"}))
+        self.assertEqual(stats["devices"], {"face_recognition": "CUDA"})
+        self.assertIn("face_recognition_speed", stats)
+
+    def test_devices_omitted_when_empty(self):
+        stats = embeddings_stats(self.config, _metrics({}))
+        self.assertNotIn("devices", stats)

frigate/util/downloader.py

@@ -85,6 +85,12 @@ class ModelDownloader:
             },
         )
 
+    def _send_state(self, file_name: str, state: ModelStatusTypesEnum) -> None:
+        self.requestor.send_data(
+            UPDATE_MODEL_STATE,
+            {"model": f"{self.model_name}-{file_name}", "state": state},
+        )
+
     def _download_models(self):
         for file_name in self.file_names:
             path = os.path.join(self.download_path, file_name)
@@ -98,6 +104,7 @@ class ModelDownloader:
                             self.download_func(path)
                         except Exception as e:
                             self._report_failure(file_name, _first_line(e))
+                            self._send_state(file_name, ModelStatusTypesEnum.error)
                             raise
 
                         if not os.path.exists(path):
@@ -105,16 +112,11 @@ class ModelDownloader:
                                 file_name,
                                 last_download_error.pop(path, "download failed"),
                             )
+                            self._send_state(file_name, ModelStatusTypesEnum.error)
                             continue
 
             self._resolve_failure(file_name)
-            self.requestor.send_data(
-                UPDATE_MODEL_STATE,
-                {
-                    "model": f"{self.model_name}-{file_name}",
-                    "state": ModelStatusTypesEnum.downloaded,
-                },
-            )
+            self._send_state(file_name, ModelStatusTypesEnum.downloaded)
 
         if self.complete_func:
             self.complete_func()

web/e2e/fixtures/frigate-test.ts

@@ -22,6 +22,7 @@ import {
   type ApiMockOverrides,
 } from "../helpers/api-mocker";
 import { WsMocker } from "../helpers/ws-mocker";
+import { statsFactory } from "./mock-data/stats";
 import { installErrorCollector, type ErrorCollector } from "./error-collector";
 import { GLOBAL_ALLOWLIST } from "./error-allowlist";
 
@@ -53,7 +54,7 @@ export class FrigateApp {
       return route.fallback();
     });
 
-    await this.ws.install(this.page);
+    await this.ws.install(this.page, statsFactory(overrides?.stats));
     await this.api.install(overrides);
     // media goes last so its per-event routes win over the broader
     // `**/api/events**` list route, which otherwise answers thumbnail and

web/e2e/fixtures/mock-data/stats.ts

@@ -41,6 +41,13 @@ export const BASE_STATS = {
   },
   gpu_usages: {},
   npu_usages: {},
+  embeddings: {
+    image_embedding_speed: 0,
+    face_embedding_speed: 0,
+    plate_recognition_speed: 0,
+    text_embedding_speed: 0,
+    devices: {} as Record<string, string>,
+  },
   processes: {},
   service: {
     last_updated: Date.now() / 1000,
@@ -57,6 +64,13 @@ export const BASE_STATS = {
         used: 500000000,
         mount_type: "tmpfs",
       },
+      "/dev/shm": {
+        free: 98,
+        total: 128,
+        used: 30,
+        mount_type: "tmpfs",
+        min_shm: 64,
+      },
     },
     uptime: 86400,
     latest_version: "0.15.0",

web/e2e/helpers/api-mocker.ts

@@ -50,8 +50,29 @@ export interface ApiMockOverrides {
   users?: { username: string; role: string }[];
   notices?: unknown[];
   noticeStats?: unknown[];
+  /** camera name to the ffprobe entries returned for `paths=camera:<name>` */
+  ffprobe?: Record<string, unknown[]>;
 }
 
+export const FFPROBE_OK = [
+  {
+    return_code: 0,
+    stderr: "",
+    stdout: {
+      streams: [
+        {
+          codec_type: "video",
+          codec_name: "h264",
+          width: 1920,
+          height: 1080,
+          avg_frame_rate: "15/1",
+        },
+        { codec_type: "audio", codec_name: "aac" },
+      ],
+    },
+  },
+];
+
 export class ApiMocker {
   private page: Page;
 
@@ -203,6 +224,16 @@ export class ApiMocker {
       }),
     );
 
+    // ffprobe. The Health tab's stream checks probe `camera:<name>`; the
+    // wizard probes raw URLs. Both get a healthy h264 + aac answer by default.
+    await this.page.route("**/api/ffprobe**", (route) => {
+      const url = new URL(route.request().url());
+      const paths = url.searchParams.get("paths") ?? "";
+      const camera = paths.startsWith("camera:") ? paths.slice(7) : undefined;
+      const entries = (camera && overrides?.ffprobe?.[camera]) || FFPROBE_OK;
+      return route.fulfill({ json: entries });
+    });
+
     // Notices. The stats route is registered after the list route so it wins
     // for /api/notices/stats; the list glob does not match a sub-path anyway.
     await this.page.route("**/api/notices", (route) =>

web/e2e/helpers/ws-mocker.ts

@@ -12,12 +12,16 @@ import { cameraActivityPayload } from "../fixtures/mock-data/camera-activity";
 export class WsMocker {
   private mockWs: WebSocketRoute | null = null;
   private cameras: string[];
+  // the live stats payload wins over the REST one in useAutoFrigateStats, so
+  // both come from the same factory or a test's `stats` override is ignored
+  private stats: unknown;
 
   constructor(cameras: string[] = ["front_door", "backyard", "garage"]) {
     this.cameras = cameras;
   }
 
-  async install(page: Page) {
+  async install(page: Page, stats?: unknown) {
+    this.stats = stats;
     await page.routeWebSocket("**/ws", (ws) => {
       this.mockWs = ws;
 
@@ -42,35 +46,37 @@ export class WsMocker {
       // Send initial stats
       this.send(
         "stats",
-        JSON.stringify({
-          cameras: Object.fromEntries(
-            this.cameras.map((c) => [
-              c,
-              {
-                camera_fps: 5,
-                detection_fps: 5,
-                process_fps: 5,
-                skipped_fps: 0,
-                detection_enabled: 1,
-                connection_quality: "excellent",
-              },
-            ]),
-          ),
-          service: {
-            last_updated: Date.now() / 1000,
-            uptime: 86400,
-            version: "0.15.0-test",
-            latest_version: "0.15.0",
-            storage: {},
+        JSON.stringify(
+          this.stats ?? {
+            cameras: Object.fromEntries(
+              this.cameras.map((c) => [
+                c,
+                {
+                  camera_fps: 5,
+                  detection_fps: 5,
+                  process_fps: 5,
+                  skipped_fps: 0,
+                  detection_enabled: 1,
+                  connection_quality: "excellent",
+                },
+              ]),
+            ),
+            service: {
+              last_updated: Date.now() / 1000,
+              uptime: 86400,
+              version: "0.15.0-test",
+              latest_version: "0.15.0",
+              storage: {},
+            },
+            detectors: {},
+            cpu_usages: {},
+            gpu_usages: {},
+            camera_fps: 15,
+            process_fps: 15,
+            skipped_fps: 0,
+            detection_fps: 15,
           },
-          detectors: {},
-          cpu_usages: {},
-          gpu_usages: {},
-          camera_fps: 15,
-          process_fps: 15,
-          skipped_fps: 0,
-          detection_fps: 15,
-        }),
+        ),
       );
     }
 

web/e2e/specs/system-health.spec.ts

@@ -8,6 +8,9 @@ import { test, expect } from "../fixtures/frigate-test";
 
 const NOW = Math.floor(Date.now() / 1000);
 
+// the fixture detector runs at 75.5 ms, above the live warning threshold
+const QUIET_STATS = { detectors: { cpu: { inference_speed: 10 } } };
+
 const STATE_NOTICE = {
   id: "ffmpeg_crash_loop:front_door",
   kind: "ffmpeg_crash_loop",
@@ -41,6 +44,7 @@ test.describe("System — Health tab @medium", () => {
     frigateApp,
   }) => {
     await frigateApp.installDefaults({
+      stats: QUIET_STATS,
       notices: [STATE_NOTICE, EVENT_NOTICE],
       noticeStats: [
         {
@@ -65,8 +69,6 @@ test.describe("System — Health tab @medium", () => {
     await expect(rows.nth(0)).toHaveAttribute("data-severity", "error");
     await expect(rows.nth(0)).toContainText("ffmpeg has crashed 6 times");
     await expect(rows.nth(0)).toContainText("14 times since");
-    // the default fixture's cpu detector is slow (75.5 ms); PR 2 merges live
-    // problems into this list, PR 1 does not, so no extra row here
     await expect(
       rows.nth(0).getByRole("button", { name: "Dismiss" }),
     ).toHaveCount(0);
@@ -78,7 +80,10 @@ test.describe("System — Health tab @medium", () => {
   });
 
   test("dismiss posts and removes the row", async ({ frigateApp }) => {
-    await frigateApp.installDefaults({ notices: [EVENT_NOTICE] });
+    await frigateApp.installDefaults({
+      stats: QUIET_STATS,
+      notices: [EVENT_NOTICE],
+    });
 
     // the list shrinks after the dismiss so the refetch shows the row gone
     let dismissed = false;
@@ -105,14 +110,18 @@ test.describe("System — Health tab @medium", () => {
     await expect(
       frigateApp.page.locator("[data-testid^='health-problem-']"),
     ).toHaveCount(0, { timeout: 5_000 });
-    await expect(frigateApp.page.getByText("No notices")).toBeVisible();
+    await expect(
+      frigateApp.page.getByText("Your Frigate installation is healthy"),
+    ).toBeVisible();
   });
 
   test("empty state with no notices", async ({ frigateApp }) => {
-    await frigateApp.installDefaults();
+    await frigateApp.installDefaults({ stats: QUIET_STATS });
     await frigateApp.goto("/system#health");
 
-    await expect(frigateApp.page.getByText("No notices")).toBeVisible({
+    await expect(
+      frigateApp.page.getByText("Your Frigate installation is healthy"),
+    ).toBeVisible({
       timeout: 15_000,
     });
   });
@@ -121,6 +130,7 @@ test.describe("System — Health tab @medium", () => {
     frigateApp,
   }) => {
     await frigateApp.installDefaults({
+      stats: QUIET_STATS,
       notices: [
         {
           id: "update_available",
@@ -157,7 +167,10 @@ test.describe("System — Health tab mobile @medium @mobile", () => {
   test.skip(({ frigateApp }) => !frigateApp.isMobile, "Mobile-only");
 
   test("notices render at mobile viewport", async ({ frigateApp }) => {
-    await frigateApp.installDefaults({ notices: [STATE_NOTICE] });
+    await frigateApp.installDefaults({
+      stats: QUIET_STATS,
+      notices: [STATE_NOTICE],
+    });
     await frigateApp.goto("/system#health");
 
     await expect(
@@ -167,3 +180,648 @@ test.describe("System — Health tab mobile @medium @mobile", () => {
     ).toBeVisible({ timeout: 15_000 });
   });
 });
+
+test.describe("System — Health hardware pane @medium", () => {
+  test("detection row is ok with matching probe and fast inference", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({
+      config: { models: [{ scene: "all", devices: ["openvino:GPU"] }] },
+      stats: {
+        ...QUIET_STATS,
+        detectors: { "openvino:GPU": { inference_speed: 12.3 } },
+      },
+    });
+    await frigateApp.goto("/system#health");
+
+    const row = frigateApp.page.getByTestId("hardware-row-detection:0");
+    await expect(row).toHaveAttribute("data-state", "ok", { timeout: 15_000 });
+    await expect(row).toContainText("12.3 ms");
+  });
+
+  test("detection row errors when the device is not probed", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({
+      config: { models: [{ scene: "all", devices: ["hailo8l"] }] },
+      stats: QUIET_STATS,
+    });
+    await frigateApp.goto("/system#health");
+
+    const row = frigateApp.page.getByTestId("hardware-row-detection:0");
+    await expect(row).toHaveAttribute("data-state", "error", {
+      timeout: 15_000,
+    });
+    await expect(row).toContainText("hailo8l was not found on this system");
+  });
+
+  test("a generic device the probe cannot enumerate is judged by its runtime", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({
+      config: { models: [{ scene: "all", devices: ["openvino:AUTO"] }] },
+      stats: {
+        ...QUIET_STATS,
+        detectors: { "openvino:AUTO": { inference_speed: 12 } },
+      },
+    });
+    await frigateApp.goto("/system#health");
+
+    const row = frigateApp.page.getByTestId("hardware-row-detection:0");
+    await expect(row).toHaveAttribute("data-state", "ok", {
+      timeout: 15_000,
+    });
+    await expect(row).toContainText("12 ms");
+  });
+
+  test("a bare onnx detector with no probed accelerator is not an error", async ({
+    frigateApp,
+  }) => {
+    // the default image runs onnx on the CPU and the probe reports nothing
+    await frigateApp.installDefaults({
+      config: { models: [{ scene: "all", devices: ["onnx"] }] },
+      stats: { ...QUIET_STATS, detectors: { onnx: { inference_speed: 40 } } },
+    });
+    await frigateApp.goto("/system#health");
+
+    const row = frigateApp.page.getByTestId("hardware-row-detection:0");
+    await expect(row).toHaveAttribute("data-state", "ok", {
+      timeout: 15_000,
+    });
+  });
+
+  test("detection row warns on slow inference", async ({ frigateApp }) => {
+    await frigateApp.installDefaults({
+      config: { models: [{ scene: "all", devices: ["openvino:GPU"] }] },
+      stats: {
+        ...QUIET_STATS,
+        detectors: { "openvino:GPU": { inference_speed: 60 } },
+      },
+    });
+    await frigateApp.goto("/system#health");
+
+    const row = frigateApp.page.getByTestId("hardware-row-detection:0");
+    await expect(row).toHaveAttribute("data-state", "warning", {
+      timeout: 15_000,
+    });
+    await expect(row).toContainText("Inference is slow (60 ms)");
+  });
+
+  test("hwaccel row states", async ({ frigateApp }) => {
+    await frigateApp.installDefaults({
+      config: {
+        cameras: {
+          front_door: { ffmpeg: { hwaccel_args: "preset-vaapi" } },
+          backyard: { ffmpeg: { hwaccel_args: "preset-nvidia" } },
+          garage: { ffmpeg: { hwaccel_args: "" } },
+        },
+      },
+      hwaccel: {
+        recommended: "vaapi",
+        available: [{ key: "vaapi", presets: { any: "preset-vaapi" } }],
+      },
+      stats: QUIET_STATS,
+    });
+    await frigateApp.goto("/system#health");
+
+    await expect(
+      frigateApp.page.getByTestId("hardware-row-hwaccel:preset-vaapi"),
+    ).toHaveAttribute("data-state", "ok", { timeout: 15_000 });
+    await expect(
+      frigateApp.page.getByTestId("hardware-row-hwaccel:preset-nvidia"),
+    ).toHaveAttribute("data-state", "warning");
+    await expect(
+      frigateApp.page.getByTestId("hardware-row-hwaccel:preset-nvidia"),
+    ).toContainText("the hardware probe did not report it");
+    await expect(
+      frigateApp.page.getByTestId("hardware-row-hwaccel:"),
+    ).toHaveAttribute("data-state", "warning");
+  });
+
+  test("face recognition row reflects the runtime device", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({
+      config: { face_recognition: { enabled: true } },
+      stats: {
+        ...QUIET_STATS,
+        embeddings: { devices: { face_recognition: "CPU" } },
+      },
+    });
+    await frigateApp.goto("/system#health");
+
+    const row = frigateApp.page.getByTestId(
+      "hardware-row-enrichment:face_recognition",
+    );
+    await expect(row).toHaveAttribute("data-state", "warning", {
+      timeout: 15_000,
+    });
+    await expect(row).toContainText(
+      "Running on the CPU although an accelerator is available",
+    );
+  });
+
+  test("explicit GPU that loaded on CUDA is ok despite the probe", async ({
+    frigateApp,
+  }) => {
+    // the fixture probes an Intel GPU only; ONNX Runtime still puts a GPU
+    // request on CUDA when that image has it
+    await frigateApp.installDefaults({
+      config: { face_recognition: { enabled: true, device: "GPU" } },
+      stats: {
+        ...QUIET_STATS,
+        embeddings: { devices: { face_recognition: "CUDA" } },
+      },
+    });
+    await frigateApp.goto("/system#health");
+
+    const row = frigateApp.page.getByTestId(
+      "hardware-row-enrichment:face_recognition",
+    );
+    await expect(row).toHaveAttribute("data-state", "ok", { timeout: 15_000 });
+    await expect(row).toContainText("CUDA");
+  });
+
+  test("explicit GPU falling back to CPU is an error", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({
+      config: { face_recognition: { enabled: true, device: "GPU" } },
+      stats: {
+        ...QUIET_STATS,
+        embeddings: { devices: { face_recognition: "CPU" } },
+      },
+    });
+    await frigateApp.goto("/system#health");
+
+    const row = frigateApp.page.getByTestId(
+      "hardware-row-enrichment:face_recognition",
+    );
+    await expect(row).toHaveAttribute("data-state", "error", {
+      timeout: 15_000,
+    });
+  });
+
+  test("enrichment without a runtime device is unknown", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({
+      config: { face_recognition: { enabled: true } },
+      stats: QUIET_STATS,
+    });
+    await frigateApp.goto("/system#health");
+
+    const row = frigateApp.page.getByTestId(
+      "hardware-row-enrichment:face_recognition",
+    );
+    await expect(row).toHaveAttribute("data-state", "unknown", {
+      timeout: 15_000,
+    });
+  });
+
+  test("all-excellent camera connections show a green check", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({ stats: QUIET_STATS });
+    await frigateApp.goto("/system#health");
+
+    const line = frigateApp.page.getByText(
+      "All cameras have an excellent connection.",
+    );
+    await expect(line).toBeVisible({ timeout: 15_000 });
+    await expect(line.locator("svg")).toHaveClass(/text-success/);
+  });
+
+  test("camera connections lists only non-excellent cameras", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({
+      stats: {
+        ...QUIET_STATS,
+        cameras: {
+          backyard: { connection_quality: "poor", camera_fps: 2.1 },
+        },
+      },
+    });
+    await frigateApp.goto("/system#health");
+
+    await expect(
+      frigateApp.page.getByTestId("camera-connection-backyard"),
+    ).toBeVisible({ timeout: 15_000 });
+    await expect(
+      frigateApp.page.getByTestId("camera-connection-front_door"),
+    ).toHaveCount(0);
+  });
+});
+
+test.describe("System — Health notices sources @medium", () => {
+  test("live offline camera and config checks render with links", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({
+      config: {
+        cameras: {
+          garage: { detect: { width: 2560, height: 1440, fps: 10 } },
+        },
+      },
+      stats: { ...QUIET_STATS, cameras: { front_door: { camera_fps: 0 } } },
+    });
+    await frigateApp.goto("/system#health");
+
+    const rows = frigateApp.page.locator("[data-testid^='health-problem-']");
+    await expect(rows.first()).toBeVisible({ timeout: 15_000 });
+    await expect(rows.filter({ hasText: "Front Door is offline" })).toHaveCount(
+      1,
+    );
+    await expect(
+      frigateApp.page.getByText(
+        "This detect resolution is higher than recommended",
+      ),
+    ).toBeVisible();
+    await expect(
+      rows
+        .filter({ hasText: "Front Door is offline" })
+        .getByRole("link", { name: "Open settings" }),
+    ).toHaveAttribute("href", "/logs");
+    const fpsRow = frigateApp.page.getByTestId(
+      "health-problem-config:detect:fps-greater-than-five:garage",
+    );
+    await expect(fpsRow).toHaveAttribute("data-severity", "info");
+    await expect(
+      fpsRow.getByRole("link", { name: "Open settings" }),
+    ).toHaveAttribute("href", "/settings?page=cameraDetect&camera=garage");
+  });
+
+  // the fixture's cameras all have a record role with recording off, so
+  // dropping the role isolates the gate on record.enabled
+  const NO_RECORD_ROLE = {
+    ffmpeg: { inputs: [{ path: "rtsp://x", roles: ["detect"] }] },
+  };
+
+  test("record role warning is hidden while recording is off", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({
+      config: {
+        cameras: {
+          front_door: { ...NO_RECORD_ROLE, record: { enabled: false } },
+        },
+      },
+      stats: QUIET_STATS,
+    });
+    await frigateApp.goto("/system#health");
+    await expect(frigateApp.page.getByLabel("Select health")).toHaveAttribute(
+      "data-state",
+      "on",
+      { timeout: 15_000 },
+    );
+    await expect(
+      frigateApp.page.getByText("No streams have the record role defined"),
+    ).toHaveCount(0);
+  });
+
+  test("record role warning shows once recording is on", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({
+      config: {
+        cameras: {
+          front_door: { ...NO_RECORD_ROLE, record: { enabled: true } },
+        },
+      },
+      stats: QUIET_STATS,
+    });
+    await frigateApp.goto("/system#health");
+    await expect(
+      frigateApp.page.getByText("No streams have the record role defined"),
+    ).toBeVisible({ timeout: 15_000 });
+  });
+
+  test("a global config problem is not repeated per camera", async ({
+    frigateApp,
+  }) => {
+    // every fixture camera inherits the global size, with resolved defaults
+    // the global block leaves null, so only text equality can dedupe them
+    const size = { width: 2560, height: 1440 };
+    await frigateApp.installDefaults({
+      config: {
+        detect: size,
+        cameras: {
+          front_door: { detect: size },
+          backyard: { detect: size },
+          garage: { detect: size },
+        },
+      },
+      stats: QUIET_STATS,
+    });
+    await frigateApp.goto("/system#health");
+
+    const rows = frigateApp.page.locator(
+      "[data-testid^='health-problem-config:detect:detect-resolution-high']",
+    );
+    await expect(rows.first()).toBeVisible({ timeout: 15_000 });
+    await expect(rows).toHaveCount(1);
+    await expect(rows.first()).toHaveAttribute(
+      "data-testid",
+      "health-problem-config:detect:detect-resolution-high:global",
+    );
+  });
+
+  test("a camera that overrides the global value keeps its own row", async ({
+    frigateApp,
+  }) => {
+    // two cameras inherit the global size and are folded into the global
+    // row; the one that overrides it keeps a row with its own link
+    const size = { width: 2560, height: 1440 };
+    await frigateApp.installDefaults({
+      config: {
+        detect: size,
+        cameras: {
+          front_door: { detect: size },
+          backyard: { detect: size },
+          garage: { detect: { width: 3840, height: 2160 } },
+        },
+      },
+      stats: QUIET_STATS,
+    });
+    await frigateApp.goto("/system#health");
+
+    const rows = frigateApp.page.locator(
+      "[data-testid^='health-problem-config:detect:detect-resolution-high']",
+    );
+    await expect(rows.first()).toBeVisible({ timeout: 15_000 });
+    await expect(rows).toHaveCount(2);
+    await expect(
+      frigateApp.page.getByTestId(
+        "health-problem-config:detect:detect-resolution-high:garage",
+      ),
+    ).toBeVisible();
+  });
+
+  test("registry rows sort ahead of live rows and keep Dismiss", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({
+      notices: [
+        {
+          id: "detector_stuck:cpu",
+          kind: "detector_stuck",
+          mode: "event",
+          severity: "warning",
+          category: "detector",
+          scope: "cpu",
+          params: { detector: "cpu" },
+          first_seen: NOW - 60,
+          last_seen: NOW - 60,
+          count: 1,
+          dismissed_at: null,
+        },
+      ],
+      // the default fixture's slow cpu detector is the live warning here
+    });
+    await frigateApp.goto("/system#health");
+
+    const rows = frigateApp.page.locator("[data-severity='warning']");
+    await expect(rows.first()).toBeVisible({ timeout: 15_000 });
+    await expect(rows.nth(0)).toContainText("Detector cpu was restarted");
+    await expect(
+      rows.nth(0).getByRole("button", { name: "Dismiss" }),
+    ).toBeVisible();
+    await expect(rows.nth(1)).toContainText("Cpu is slow");
+  });
+
+  test("empty state when stats, config, and registry are clean", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({ stats: QUIET_STATS });
+    await frigateApp.goto("/system#health");
+
+    await expect(
+      frigateApp.page.getByText("Your Frigate installation is healthy"),
+    ).toBeVisible({
+      timeout: 15_000,
+    });
+    await expect(
+      frigateApp.page.locator("[data-testid^='health-problem-']"),
+    ).toHaveCount(0);
+  });
+
+  test("stream checks probe every camera and flag non-AAC audio", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({
+      // the default record preset transcodes to AAC, so the codec only
+      // matters for a camera that copies audio through
+      config: {
+        cameras: {
+          backyard: {
+            ffmpeg: {
+              output_args: { record: "preset-record-generic-audio-copy" },
+            },
+          },
+        },
+      },
+      ffprobe: {
+        backyard: [
+          {
+            return_code: 0,
+            stderr: "",
+            stdout: {
+              streams: [
+                {
+                  codec_type: "video",
+                  codec_name: "h264",
+                  width: 1920,
+                  height: 1080,
+                },
+                { codec_type: "audio", codec_name: "pcm_mulaw" },
+              ],
+            },
+          },
+        ],
+        garage: [
+          {
+            return_code: 1,
+            // the backend sends every line; the tab shows the last one
+            stderr: [
+              "[tcp @ 0x1] Connection to tcp://10.0.0.3:554 failed",
+              "Connection refused",
+            ],
+            stdout: "",
+          },
+        ],
+      },
+      stats: QUIET_STATS,
+    });
+    await frigateApp.goto("/system#health");
+
+    const requests: string[] = [];
+    frigateApp.page.on("request", (req) => {
+      if (req.url().includes("/api/ffprobe")) {
+        requests.push(req.url());
+      }
+    });
+
+    await frigateApp.page
+      .getByRole("button", { name: "Run stream checks" })
+      .click();
+
+    await expect(
+      frigateApp.page.getByText("Stream 1: The AAC audio codec is required"),
+    ).toBeVisible({ timeout: 15_000 });
+    await expect(
+      frigateApp.page.getByText(
+        "Stream 1 could not be probed: Connection refused",
+      ),
+    ).toBeVisible();
+    const streams = frigateApp.page.getByTestId("camera-streams");
+    await expect(streams).toContainText("3 cameras checked");
+    await expect(streams).toContainText("2 with problems");
+    await expect(frigateApp.page.getByText(/^Checked/)).toBeVisible();
+    await expect(
+      frigateApp.page.getByRole("button", { name: "Run again" }),
+    ).toBeVisible();
+    // axios leaves ":" unescaped in query strings
+    expect(requests.filter((u) => u.includes("paths=camera:")).length).toBe(3);
+  });
+
+  test("non-AAC audio is fine when recordings transcode to AAC", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({
+      ffprobe: {
+        backyard: [
+          {
+            return_code: 0,
+            stderr: "",
+            stdout: {
+              streams: [
+                {
+                  codec_type: "video",
+                  codec_name: "h264",
+                  width: 1920,
+                  height: 1080,
+                },
+                { codec_type: "audio", codec_name: "pcm_mulaw" },
+              ],
+            },
+          },
+        ],
+      },
+      stats: QUIET_STATS,
+    });
+    await frigateApp.goto("/system#health");
+
+    await frigateApp.page
+      .getByRole("button", { name: "Run stream checks" })
+      .click();
+
+    await expect(frigateApp.page.getByText(/^Checked/)).toBeVisible({
+      timeout: 15_000,
+    });
+    await expect(
+      frigateApp.page.getByText("The AAC audio codec is required"),
+    ).toHaveCount(0);
+  });
+
+  test("wizard-only Reolink advice stays off the tab", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({
+      config: {
+        cameras: {
+          front_door: {
+            ffmpeg: {
+              inputs: [
+                {
+                  path: "rtsp://10.0.0.1:554/h264Preview_01_main",
+                  roles: ["detect", "record"],
+                },
+              ],
+            },
+          },
+        },
+      },
+      stats: QUIET_STATS,
+    });
+    await frigateApp.goto("/system#health");
+
+    await frigateApp.page
+      .getByRole("button", { name: "Run stream checks" })
+      .click();
+
+    await expect(frigateApp.page.getByText(/^Checked/)).toBeVisible({
+      timeout: 15_000,
+    });
+    await expect(
+      frigateApp.page.getByText("Reolink RTSP is not recommended"),
+    ).toHaveCount(0);
+  });
+
+  test("re-check re-probes the hardware and dates the probe", async ({
+    frigateApp,
+  }) => {
+    await frigateApp.installDefaults({ stats: QUIET_STATS });
+    await frigateApp.goto("/system#health");
+
+    const probes: string[] = [];
+    frigateApp.page.on("request", (req) => {
+      if (req.url().includes("refresh=true")) {
+        probes.push(req.url());
+      }
+    });
+
+    const recheck = frigateApp.page.getByRole("button", {
+      name: "Re-check hardware",
+    });
+    await expect(recheck).toBeVisible({ timeout: 15_000 });
+    await expect(frigateApp.page.getByText(/^Probed/)).toHaveCount(0);
+    await recheck.click();
+    await expect(frigateApp.page.getByText(/^Probed/)).toBeVisible();
+    await expect(recheck).toBeEnabled();
+    expect(probes.length).toBe(1);
+  });
+
+  test("a camera notice link opens that camera's settings page", async ({
+    frigateApp,
+  }) => {
+    // garage is not the camera Settings would pick on its own, so a wrong
+    // selection here is visible rather than accidentally right
+    await frigateApp.installDefaults({
+      config: {
+        lpr: { enabled: false },
+        cameras: { garage: { lpr: { enabled: true } } },
+      },
+      stats: QUIET_STATS,
+    });
+    await frigateApp.goto("/system#health");
+
+    const row = frigateApp.page.getByTestId(
+      "health-problem-config:lpr:global-disabled:garage",
+    );
+    await expect(row).toBeVisible({ timeout: 15_000 });
+    await expect(
+      row.getByRole("link", { name: "Open settings" }),
+    ).toHaveAttribute("href", "/settings?page=cameraLpr&camera=garage");
+
+    await row.getByRole("link", { name: "Open settings" }).click();
+
+    await expect(frigateApp.page.getByLabel("Select a camera")).toContainText(
+      "Garage",
+      { timeout: 15_000 },
+    );
+  });
+
+  test("status bar healthy text links to the Health tab", async ({
+    frigateApp,
+  }) => {
+    test.skip(frigateApp.isMobile, "Status bar is desktop-only");
+    await frigateApp.installDefaults({ stats: QUIET_STATS });
+    await frigateApp.goto("/");
+
+    await frigateApp.page
+      .getByRole("link", { name: "System is healthy" })
+      .click();
+    await expect(frigateApp.page).toHaveURL(/\/system#health/);
+  });
+});

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

@@ -18,7 +18,7 @@
     "title": "Health",
     "notices": {
       "title": "Notices",
-      "empty": "No notices",
+      "empty": "Your Frigate installation is healthy",
       "dismiss": "Dismiss",
       "openSettings": "Open settings",
       "openLink": "Open link",
@@ -31,7 +31,61 @@
         "model_download_failed": "Downloading {{file}} failed: {{error}}",
         "retention_unmet": "Recordings were deleted before their retention period to free space ({{cleared_mb}} of {{needed_mb}} MB needed)",
         "update_available": "Frigate {{version}} is available"
-      }
+      },
+      "streamPrefix": "Stream {{index}}: {{message}}",
+      "streamPrefixRestream": "Stream {{index}} (via go2rtc): {{message}}",
+      "streamProbeFailed": "Stream {{index}} could not be probed: {{error}}",
+      "cameraProbeFailed": "Streams could not be probed: {{error}}",
+      "startupWindow": "Frigate started less than two minutes ago, live checks begin after startup"
+    },
+    "hardware": {
+      "title": "Hardware",
+      "objectDetection": "Object detection",
+      "hardwareAcceleration": "Hardware acceleration",
+      "enrichments": {
+        "title": "Enrichments",
+        "semantic_search": "Semantic search",
+        "face_recognition": "Face recognition",
+        "lpr": "License plate recognition",
+        "audio_transcription": "Audio transcription"
+      },
+      "cameraConnections": "Camera connections",
+      "allCamerasExcellent": "All cameras have an excellent connection.",
+      "fps": "{{camera}} / {{expected}} fps",
+      "nothingConfigured": "Nothing configured",
+      "allCameras": "All cameras",
+      "probeUnavailable": "Hardware detection is unavailable",
+      "justStarted": "Frigate just started",
+      "deviceNotFound": "{{devices}} was not found on this system",
+      "detectorNotRunning": "Detector process is not running",
+      "inferenceVerySlow": "Inference is very slow ({{speed}} ms)",
+      "inferenceSlow": "Inference is slow ({{speed}} ms)",
+      "inferenceMs": "{{speed}} ms",
+      "customArgs": "Custom ffmpeg arguments",
+      "customArgsNotVerified": "Custom ffmpeg arguments, not verified",
+      "hwaccelNotConfigured": "No hardware decoding is in use, but {{family}} is available. Select it in the ffmpeg settings",
+      "hwaccelHardwareMissing": "{{family}} is configured, but the hardware probe did not report it",
+      "unrecognizedDevice": "Unrecognized device override, not verified",
+      "decoderUsage": "decoder {{usage}}",
+      "remoteProvider": "Remote provider",
+      "acceleratorMissing": "Configured for {{device}} but no compatible accelerator was found",
+      "modelNotRunYet": "Model has not run yet, the device is verified after first use",
+      "fellBackToCpu": "Configured for {{device}} but running on the CPU",
+      "cpuDespiteAccelerator": "Running on the CPU although an accelerator is available",
+      "probed": "Probed",
+      "probing": "Probing...",
+      "recheck": "Re-check hardware",
+      "cameraStreams": "Camera streams",
+      "streamsNotChecked": "Not checked yet",
+      "streamsChecking": "Checking {{done}} of {{total}}",
+      "streamsClean": "No stream problems",
+      "checked": "Checked",
+      "runAgain": "Run again",
+      "runStreamChecks": "Run stream checks",
+      "streamsChecked_one": "{{count}} camera checked",
+      "streamsChecked_other": "{{count}} cameras checked",
+      "streamsFlagged_one": "{{count}} with problems, listed under Notices",
+      "streamsFlagged_other": "{{count}} with problems, listed under Notices"
     }
   },
   "logs": {

web/src/components/Statusbar.tsx

@@ -187,10 +187,20 @@ export default function Statusbar() {
       </div>
       <div className="no-scrollbar flex h-full max-w-[50%] items-center gap-2 overflow-x-auto">
         {Object.entries(messages).length === 0 ? (
-          <div className="flex items-center gap-2 text-sm">
-            <FaCheck className="size-3 text-green-500" />
-            {t("stats.healthy")}
-          </div>
+          isAdmin ? (
+            <Link
+              to="/system#health"
+              className="flex items-center gap-2 text-sm"
+            >
+              <FaCheck className="size-3 text-green-500" />
+              {t("stats.healthy")}
+            </Link>
+          ) : (
+            <div className="flex items-center gap-2 text-sm">
+              <FaCheck className="size-3 text-green-500" />
+              {t("stats.healthy")}
+            </div>
+          )
         ) : (
           Object.entries(messages).map(([key, messageArray]) => (
             <div key={key} className="flex h-full items-center gap-2">

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

@@ -6,6 +6,7 @@ const audio: SectionConfigOverrides = {
     messages: [
       {
         key: "no-audio-role",
+        health: (ctx) => ctx.fullCameraConfig?.audio?.enabled === true,
         messageKey: "configMessages.audio.noAudioRole",
         severity: "warning",
         condition: (ctx) => {

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

@@ -6,6 +6,8 @@ const audioTranscription: SectionConfigOverrides = {
     messages: [
       {
         key: "audio-detection-disabled",
+        health: (ctx) =>
+          ctx.fullCameraConfig?.audio_transcription?.enabled === true,
         messageKey: "configMessages.audioTranscription.audioDetectionDisabled",
         severity: "warning",
         condition: (ctx) => {

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

@@ -15,6 +15,7 @@ const detect: SectionConfigOverrides = {
     fieldMessages: [
       {
         key: "detect-resolution-not-multiple-of-four",
+        health: true,
         field: "width",
         position: "before",
         messageKey: "configMessages.detect.resolutionShouldBeMultipleOfFour",
@@ -46,6 +47,7 @@ const detect: SectionConfigOverrides = {
       },
       {
         key: "detect-resolution-high",
+        health: true,
         field: "width",
         position: "before",
         messageKey: "configMessages.detect.resolutionHigh",
@@ -61,6 +63,7 @@ const detect: SectionConfigOverrides = {
       },
       {
         key: "detect-square-resolution",
+        health: true,
         field: "width",
         position: "before",
         messageKey: "configMessages.detect.squareResolution",
@@ -112,6 +115,7 @@ const detect: SectionConfigOverrides = {
       },
       {
         key: "detect-scene-without-model",
+        health: true,
         field: "scene",
         position: "after",
         messageKey: "configMessages.detect.sceneWithoutModel",
@@ -127,6 +131,7 @@ const detect: SectionConfigOverrides = {
       },
       {
         key: "fps-greater-than-five",
+        health: true,
         field: "fps",
         messageKey: "configMessages.detect.fpsGreaterThanFive",
         severity: "info",

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

@@ -6,6 +6,8 @@ const faceRecognition: SectionConfigOverrides = {
     messages: [
       {
         key: "global-disabled",
+        health: (ctx) =>
+          ctx.fullCameraConfig?.face_recognition?.enabled === true,
         messageKey: "configMessages.faceRecognition.globalDisabled",
         severity: "warning",
         condition: (ctx) => {
@@ -15,6 +17,9 @@ const faceRecognition: SectionConfigOverrides = {
       },
       {
         key: "person-not-tracked",
+        health: (ctx) =>
+          ctx.fullCameraConfig?.face_recognition?.enabled === true &&
+          ctx.fullConfig.face_recognition?.enabled === true,
         messageKey: "configMessages.faceRecognition.personNotTracked",
         severity: "info",
         condition: (ctx) => {

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

@@ -52,6 +52,7 @@ const ffmpeg: SectionConfigOverrides = {
       },
       {
         key: "inputs-missing-go2rtc-stream",
+        health: true,
         field: "inputs",
         position: "before",
         messageKey: "configMessages.ffmpeg.inputsMissingGo2rtcStream",

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

@@ -7,6 +7,7 @@ const lpr: SectionConfigOverrides = {
     messages: [
       {
         key: "global-disabled",
+        health: (ctx) => ctx.fullCameraConfig?.lpr?.enabled === true,
         messageKey: "configMessages.lpr.globalDisabled",
         severity: "warning",
         condition: (ctx) => {
@@ -16,6 +17,9 @@ const lpr: SectionConfigOverrides = {
       },
       {
         key: "vehicle-not-tracked",
+        health: (ctx) =>
+          ctx.fullCameraConfig?.lpr?.enabled === true &&
+          ctx.fullConfig.lpr?.enabled === true,
         messageKey: "configMessages.lpr.vehicleNotTracked",
         severity: "info",
         condition: (ctx) => {

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

@@ -35,6 +35,7 @@ const models: SectionConfigOverrides = {
       },
       {
         key: "model-input-dimensions-not-detect-resolution",
+        health: true,
         field: "height",
         position: "after",
         messageKey: "configMessages.model.inputDimensionsNotDetectResolution",

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

@@ -72,6 +72,9 @@ const objects: SectionConfigOverrides = {
     fieldMessages: [
       {
         key: "genai-no-descriptions-provider",
+        health: (ctx) =>
+          (ctx.formData as { genai?: { enabled?: boolean } })?.genai
+            ?.enabled === true,
         field: "genai.enabled",
         messageKey: "configMessages.objects.genaiNoDescriptionsProvider",
         severity: "warning",

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

@@ -28,6 +28,8 @@ const onvif: SectionConfigOverrides = {
     fieldMessages: [
       {
         key: "autotracking-no-zones",
+        health: (ctx) =>
+          ctx.fullCameraConfig?.onvif?.autotracking?.enabled === true,
         field: "autotracking.required_zones",
         messageKey: "configMessages.onvif.autotrackingNoZones",
         severity: "error",

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

@@ -6,6 +6,7 @@ const record: SectionConfigOverrides = {
     messages: [
       {
         key: "no-record-role",
+        health: (ctx) => ctx.fullCameraConfig?.record?.enabled === true,
         messageKey: "configMessages.record.noRecordRole",
         severity: "warning",
         condition: (ctx) => {
@@ -17,6 +18,7 @@ const record: SectionConfigOverrides = {
       },
       {
         key: "no-record-sub-role",
+        health: (ctx) => ctx.fullCameraConfig?.record?.sub?.enabled === true,
         messageKey: "configMessages.record.noRecordSubRole",
         severity: "warning",
         condition: (ctx) => {

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

@@ -43,6 +43,9 @@ const review: SectionConfigOverrides = {
       },
       {
         key: "genai-no-descriptions-provider",
+        health: (ctx) =>
+          (ctx.formData as { genai?: { enabled?: boolean } })?.genai
+            ?.enabled === true,
         field: "genai.enabled",
         messageKey: "configMessages.objects.genaiNoDescriptionsProvider",
         severity: "warning",
@@ -57,6 +60,7 @@ const review: SectionConfigOverrides = {
       },
       {
         key: "genai-image-source-recordings-record-disabled",
+        health: true,
         field: "genai.image_source",
         messageKey:
           "configMessages.review.genaiImageSourceRecordingsRecordDisabled",

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

@@ -21,6 +21,7 @@ const semanticSearch: SectionConfigOverrides = {
     fieldMessages: [
       {
         key: "jinav2-small-model-size",
+        health: (ctx) => ctx.fullConfig.semantic_search?.enabled === true,
         field: "model_size",
         messageKey: "configMessages.semanticSearch.jinav2SmallModelSize",
         severity: "warning",

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

@@ -28,6 +28,13 @@ export type ConditionalMessage = {
   values?: Record<string, unknown>;
   /** Optional documentation path (e.g. "/configuration/object_detectors#model"). */
   docLink?: string;
+  /**
+   * Whether the Health tab evaluates this message against the saved config.
+   * Absent or false: form only. true: shown whenever condition() holds. A
+   * function: shown when both condition(ctx) and health(ctx) hold, for
+   * messages the form deliberately shows even when the feature is off.
+   */
+  health?: boolean | ((ctx: MessageConditionContext) => boolean);
 };
 
 /** Field-level conditional message, adds field targeting */

web/src/components/config-form/sectionPages.ts

@@ -0,0 +1,67 @@
+/** settings page id that edits each config section at camera level */
+export const CAMERA_PAGE_BY_SECTION: Record<string, string> = {
+  detect: "cameraDetect",
+  ffmpeg: "cameraFfmpeg",
+  record: "cameraRecording",
+  snapshots: "cameraSnapshots",
+  motion: "cameraMotion",
+  objects: "cameraObjects",
+  review: "cameraReview",
+  audio: "cameraAudioEvents",
+  audio_transcription: "cameraAudioTranscription",
+  notifications: "cameraNotifications",
+  live: "cameraLivePlayback",
+  birdseye: "cameraBirdseye",
+  face_recognition: "cameraFaceRecognition",
+  lpr: "cameraLpr",
+  timestamp_style: "cameraTimestampStyle",
+  onvif: "cameraOnvif",
+};
+
+/** settings page id that edits each config section at global level */
+export const GLOBAL_PAGE_BY_SECTION: Record<string, string> = {
+  detect: "globalDetect",
+  record: "globalRecording",
+  snapshots: "globalSnapshots",
+  ffmpeg: "globalFfmpeg",
+  motion: "globalMotion",
+  objects: "globalObjects",
+  review: "globalReview",
+  audio: "globalAudioEvents",
+  live: "globalLivePlayback",
+  timestamp_style: "globalTimestampStyle",
+  database: "systemDatabase",
+  tls: "systemTls",
+  auth: "systemAuthentication",
+  networking: "systemNetworking",
+  proxy: "systemProxy",
+  ui: "systemUi",
+  logger: "systemLogging",
+  environment_vars: "systemEnvironmentVariables",
+  telemetry: "systemTelemetry",
+  birdseye: "systemBirdseye",
+  models: "systemDetectorsAndModel",
+  mqtt: "systemMqtt",
+  semantic_search: "integrationSemanticSearch",
+  genai: "integrationGenerativeAi",
+  face_recognition: "integrationFaceRecognition",
+  lpr: "integrationLpr",
+  classification: "integrationObjectClassification",
+  audio_transcription: "integrationAudioTranscription",
+};
+
+export function settingsLink(
+  section: string,
+  level: "global" | "camera",
+  cameraName?: string,
+): string | undefined {
+  if (level === "camera") {
+    const page = CAMERA_PAGE_BY_SECTION[section];
+    return page && cameraName
+      ? `/settings?page=${page}&camera=${encodeURIComponent(cameraName)}`
+      : undefined;
+  }
+
+  const page = GLOBAL_PAGE_BY_SECTION[section];
+  return page ? `/settings?page=${page}` : undefined;
+}

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

@@ -25,24 +25,7 @@ import {
   pathMatchesHiddenPattern,
 } from "@/utils/configUtil";
 import { useOverrideFieldLabel } from "./useOverrideFieldLabel";
-
-const CAMERA_PAGE_BY_SECTION: Record<string, string> = {
-  detect: "cameraDetect",
-  ffmpeg: "cameraFfmpeg",
-  record: "cameraRecording",
-  snapshots: "cameraSnapshots",
-  motion: "cameraMotion",
-  objects: "cameraObjects",
-  review: "cameraReview",
-  audio: "cameraAudioEvents",
-  audio_transcription: "cameraAudioTranscription",
-  notifications: "cameraNotifications",
-  live: "cameraLivePlayback",
-  birdseye: "cameraBirdseye",
-  face_recognition: "cameraFaceRecognition",
-  lpr: "cameraLpr",
-  timestamp_style: "cameraTimestampStyle",
-};
+import { CAMERA_PAGE_BY_SECTION } from "@/components/config-form/sectionPages";
 
 const MAX_FIELDS_PER_CAMERA = 5;
 

web/src/components/health/HardwarePane.tsx

@@ -0,0 +1,294 @@
+import { useMemo } from "react";
+import { useTranslation } from "react-i18next";
+import { FaCircleCheck } from "react-icons/fa6";
+import { LuRefreshCw } from "react-icons/lu";
+import { Button } from "@/components/ui/button";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
+import { TooltipPortal } from "@radix-ui/react-tooltip";
+import useSWR from "swr";
+import { Skeleton } from "@/components/ui/skeleton";
+import { cn } from "@/lib/utils";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
+import TimeAgo from "@/components/dynamic/TimeAgo";
+import { CameraNameLabel } from "@/components/camera/FriendlyNameLabel";
+import { ConnectionQualityIndicator } from "@/components/camera/ConnectionQualityIndicator";
+import HardwareStatusRow from "@/components/health/HardwareStatusRow";
+import { useHardwareHealth } from "@/hooks/use-hardware-health";
+import { useHealthChecks } from "@/hooks/use-health-checks";
+import type { FrigateConfig } from "@/types/frigateConfig";
+import type { HardwareRow } from "@/utils/health";
+import { streamHealth } from "@/utils/streamHealth";
+
+function Card({
+  title,
+  className,
+  action,
+  subtitle,
+  children,
+}: {
+  title: string;
+  className?: string;
+  /** an icon button right after the title */
+  action?: React.ReactNode;
+  /** a muted line under the title */
+  subtitle?: React.ReactNode;
+  children: React.ReactNode;
+}) {
+  return (
+    <div
+      className={cn(
+        "rounded-lg bg-background_alt p-2.5 pb-5 md:rounded-2xl",
+        className,
+      )}
+    >
+      <div className="mb-5 flex flex-col">
+        <div className="flex items-center gap-3">
+          <span>{title}</span>
+          {action}
+        </div>
+        {subtitle && (
+          <div className="text-xs text-muted-foreground">{subtitle}</div>
+        )}
+      </div>
+      {children}
+    </div>
+  );
+}
+
+function InlineAction({
+  label,
+  busy,
+  disabled,
+  onClick,
+}: {
+  label: string;
+  busy?: boolean;
+  disabled?: boolean;
+  onClick: () => void;
+}) {
+  return (
+    <Tooltip>
+      <TooltipTrigger asChild>
+        <Button
+          variant="ghost"
+          size="icon"
+          className="size-6 shrink-0 text-muted-foreground hover:text-primary"
+          aria-label={label}
+          disabled={busy || disabled}
+          onClick={onClick}
+        >
+          {busy ? (
+            <ActivityIndicator className="size-3.5" size={14} />
+          ) : (
+            <LuRefreshCw className="size-3.5" />
+          )}
+        </Button>
+      </TooltipTrigger>
+      <TooltipPortal>
+        <TooltipContent>{label}</TooltipContent>
+      </TooltipPortal>
+    </Tooltip>
+  );
+}
+
+function Group({ title, rows }: { title: string; rows: HardwareRow[] }) {
+  const { t } = useTranslation(["views/system"]);
+
+  return (
+    <Card title={title}>
+      {rows.length === 0 ? (
+        <div className="text-sm text-muted-foreground">
+          {t("health.hardware.nothingConfigured")}
+        </div>
+      ) : (
+        <div className="flex flex-col gap-3">
+          {rows.map((row) => (
+            <HardwareStatusRow key={row.id} row={row} />
+          ))}
+        </div>
+      )}
+    </Card>
+  );
+}
+
+/** Stream checks live here: the check sits next to its result. */
+function StreamsGroup() {
+  const { t } = useTranslation(["views/system", "views/settings"]);
+  const { data: config } = useSWR<FrigateConfig>("config", {
+    revalidateOnFocus: false,
+  });
+  const { stream } = useHealthChecks();
+  const summary = useMemo(
+    () => (config ? streamHealth(config, stream.results, t) : undefined),
+    [config, stream.results, t],
+  );
+  const row: HardwareRow | undefined = useMemo(() => {
+    if (stream.running || !summary || !stream.results) {
+      return undefined;
+    }
+    const flagged = summary.checked - summary.clean;
+    return {
+      id: "streams",
+      state: flagged > 0 ? "warning" : "ok",
+      label: t("health.hardware.streamsChecked", { count: summary.checked }),
+      detail:
+        flagged > 0
+          ? t("health.hardware.streamsFlagged", { count: flagged })
+          : t("health.hardware.streamsClean"),
+    };
+  }, [stream.running, stream.results, summary, t]);
+
+  return (
+    <Card
+      title={t("health.hardware.cameraStreams")}
+      action={
+        <InlineAction
+          label={
+            stream.results
+              ? t("health.hardware.runAgain")
+              : t("health.hardware.runStreamChecks")
+          }
+          busy={stream.running}
+          disabled={!config}
+          onClick={() => stream.run()}
+        />
+      }
+      subtitle={
+        stream.running
+          ? t("health.hardware.streamsChecking", {
+              done: stream.total - stream.pending.length,
+              total: stream.total,
+            })
+          : stream.results && (
+              <>
+                {t("health.hardware.checked")}{" "}
+                <TimeAgo time={stream.results.checkedAt * 1000} dense />
+              </>
+            )
+      }
+    >
+      <div className="flex flex-col gap-3 text-sm" data-testid="camera-streams">
+        {row ? (
+          <HardwareStatusRow row={row} />
+        ) : (
+          <HardwareStatusRow
+            row={{
+              id: "streams",
+              state: "unknown",
+              label: t("health.hardware.streamsNotChecked"),
+            }}
+          />
+        )}
+      </div>
+    </Card>
+  );
+}
+
+function HardwareHeading() {
+  const { t } = useTranslation(["views/system"]);
+  const { hardware } = useHealthChecks();
+
+  return (
+    <div className="flex flex-col">
+      <div className="flex items-center gap-3">
+        <div className="text-md font-medium text-primary-variant">
+          {t("health.hardware.title")}
+        </div>
+        <InlineAction
+          label={t("health.hardware.recheck")}
+          busy={hardware.rechecking}
+          onClick={() => hardware.recheck()}
+        />
+      </div>
+      {hardware.rechecking ? (
+        <div className="text-xs text-muted-foreground">
+          {t("health.hardware.probing")}
+        </div>
+      ) : (
+        hardware.probedAt && (
+          <div className="text-xs text-muted-foreground">
+            {t("health.hardware.probed")}{" "}
+            <TimeAgo time={hardware.probedAt * 1000} dense />
+          </div>
+        )
+      )}
+    </div>
+  );
+}
+
+export default function HardwarePane() {
+  const { t } = useTranslation(["views/system"]);
+  const { rows, statsLoaded } = useHardwareHealth();
+
+  return (
+    <div className="flex flex-col gap-4">
+      <HardwareHeading />
+      {!rows ? (
+        <Skeleton className="h-40 w-full rounded-lg md:rounded-2xl" />
+      ) : (
+        <>
+          <div className="flex flex-col gap-2">
+            <div className="grid grid-cols-1 gap-2 md:grid-cols-3">
+              <Group
+                title={t("health.hardware.objectDetection")}
+                rows={rows.detection}
+              />
+              <Group
+                title={t("health.hardware.hardwareAcceleration")}
+                rows={rows.hwaccel}
+              />
+              <Group
+                title={t("health.hardware.enrichments.title")}
+                rows={rows.enrichments}
+              />
+            </div>
+            <div className="grid grid-cols-1 gap-2 md:grid-cols-2">
+              <StreamsGroup />
+              <Card title={t("health.hardware.cameraConnections")}>
+                {!statsLoaded ? (
+                  <Skeleton className="h-10 w-full" />
+                ) : rows.cameras.length === 0 ? (
+                  <div className="flex items-center gap-2 text-sm text-muted-foreground">
+                    <FaCircleCheck className="size-4 text-success" />
+                    {t("health.hardware.allCamerasExcellent")}
+                  </div>
+                ) : (
+                  <div className="grid grid-cols-2 gap-3 md:grid-cols-4">
+                    {rows.cameras.map((cell) => (
+                      <div
+                        key={cell.camera}
+                        className="flex items-center gap-2 text-sm"
+                        data-testid={`camera-connection-${cell.camera}`}
+                      >
+                        <ConnectionQualityIndicator
+                          quality={cell.quality}
+                          expectedFps={cell.expectedFps}
+                          reconnects={cell.reconnects}
+                          stalls={cell.stalls}
+                        />
+                        <CameraNameLabel
+                          camera={cell.camera}
+                          className="smart-capitalize"
+                        />
+                        <span className="text-muted-foreground">
+                          {t("health.hardware.fps", {
+                            camera: cell.cameraFps.toFixed(1),
+                            expected: cell.expectedFps,
+                          })}
+                        </span>
+                      </div>
+                    ))}
+                  </div>
+                )}
+              </Card>
+            </div>
+          </div>
+        </>
+      )}
+    </div>
+  );
+}

web/src/components/health/HardwareStatusRow.tsx

@@ -0,0 +1,47 @@
+import { FaCircleCheck, FaTriangleExclamation } from "react-icons/fa6";
+import { LuCircleHelp, LuX } from "react-icons/lu";
+import { cn } from "@/lib/utils";
+import type { HardwareRow } from "@/utils/health";
+
+const MESSAGE_COLOR: Record<HardwareRow["state"], string> = {
+  ok: "text-success",
+  warning: "text-yellow-500",
+  error: "text-danger",
+  unknown: "text-muted-foreground",
+};
+
+export default function HardwareStatusRow({ row }: { row: HardwareRow }) {
+  return (
+    <div
+      className="flex items-start gap-2 text-sm"
+      data-testid={`hardware-row-${row.id}`}
+      data-state={row.state}
+    >
+      <div className="mt-0.5 flex shrink-0">
+        {row.state === "ok" && (
+          <FaCircleCheck className="size-4 text-success" />
+        )}
+        {row.state === "warning" && (
+          <FaTriangleExclamation className="size-4 text-yellow-500" />
+        )}
+        {row.state === "error" && <LuX className="size-4 text-danger" />}
+        {row.state === "unknown" && (
+          <LuCircleHelp className="size-4 text-muted-foreground" />
+        )}
+      </div>
+      <div className="min-w-0">
+        <div>
+          <span>{row.label}</span>
+          {row.detail && (
+            <span className="ml-2 text-muted-foreground">{row.detail}</span>
+          )}
+        </div>
+        {row.message && (
+          <div className={cn("mt-0.5", MESSAGE_COLOR[row.state])}>
+            {row.message}
+          </div>
+        )}
+      </div>
+    </div>
+  );
+}

web/src/components/health/HealthProblemRow.tsx

@@ -7,82 +7,164 @@ import {
   LuSlidersHorizontal,
   LuX,
 } from "react-icons/lu";
+import { TooltipPortal } from "@radix-ui/react-tooltip";
 import { Button } from "@/components/ui/button";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
 import { CameraNameLabel } from "@/components/camera/FriendlyNameLabel";
+import ActivityIndicator from "@/components/indicators/activity-indicator";
+import { useDocDomain } from "@/hooks/use-doc-domain";
 import type { HealthProblem } from "@/types/health";
 
 type HealthProblemRowProps = {
   problem: HealthProblem;
 };
 
+const ICON_BUTTON_CLASS =
+  "size-6 shrink-0 text-muted-foreground hover:text-primary";
+
+function RowAction({
+  label,
+  children,
+}: {
+  label: string;
+  children: React.ReactNode;
+}) {
+  return (
+    <Tooltip>
+      <TooltipTrigger asChild>{children}</TooltipTrigger>
+      <TooltipPortal>
+        <TooltipContent>{label}</TooltipContent>
+      </TooltipPortal>
+    </Tooltip>
+  );
+}
+
 export default function HealthProblemRow({ problem }: HealthProblemRowProps) {
-  const { t } = useTranslation(["views/system"]);
+  const { t } = useTranslation(["views/system", "common"]);
+  const { getLocaleDocUrl } = useDocDomain();
+  const hasDetails = problem.scope || problem.meta;
+  const hasActions =
+    problem.link ||
+    problem.docLink ||
+    problem.externalLink ||
+    problem.onDismiss;
 
   return (
     <div
-      className="flex items-start gap-2 border-b border-border px-1 py-2 text-sm last:border-b-0"
+      className="flex items-center gap-2 border-b border-border px-1 py-2 text-sm last:border-b-0"
       data-testid={`health-problem-${problem.id}`}
       data-severity={problem.severity}
     >
-      <div className="mt-0.5 flex shrink-0">
-        {problem.severity === "error" && <LuX className="size-4 text-danger" />}
-        {problem.severity === "warning" && (
-          <FaTriangleExclamation className="size-4 text-yellow-500" />
-        )}
-        {problem.severity === "info" && (
-          <LuInfo className="size-4 text-selected" />
+      <div className="flex shrink-0 self-start pt-0.5">
+        {problem.pending ? (
+          <ActivityIndicator className="" size={16} />
+        ) : (
+          <>
+            {problem.severity === "error" && (
+              <LuX className="size-4 text-danger" />
+            )}
+            {problem.severity === "warning" && (
+              <FaTriangleExclamation className="size-4 text-yellow-500" />
+            )}
+            {problem.severity === "info" && (
+              <LuInfo className="size-4 text-selected" />
+            )}
+          </>
         )}
       </div>
-      {problem.scope && (
-        <span className="rounded-md bg-secondary px-1.5 py-0.5 text-xs text-secondary-foreground smart-capitalize">
-          {problem.scopeIsCamera ? (
-            <CameraNameLabel camera={problem.scope} />
-          ) : (
-            problem.scope
-          )}
-        </span>
-      )}
       <div className="min-w-0 flex-1">
         <div>{problem.text}</div>
-        {problem.meta && (
-          <div className="mt-0.5 text-xs text-muted-foreground">
-            {problem.meta}
+        {hasDetails && (
+          <div className="mt-1 flex flex-wrap items-center gap-x-3 gap-y-1 text-xs text-muted-foreground">
+            {problem.scope && (
+              <span className="rounded bg-secondary px-1.5 py-0.5 text-xs text-primary-variant">
+                {problem.scopeIsCamera ? (
+                  <CameraNameLabel camera={problem.scope} />
+                ) : (
+                  problem.scope
+                )}
+              </span>
+            )}
+            {problem.meta && <span>{problem.meta}</span>}
           </div>
         )}
       </div>
-      <div className="flex shrink-0 items-center gap-2 text-muted-foreground">
-        {problem.onDismiss && (
-          <Button
-            variant="ghost"
-            size="sm"
-            className="h-6 px-2"
-            onClick={problem.onDismiss}
-            aria-label={t("health.notices.dismiss")}
-          >
-            {t("health.notices.dismiss")}
-          </Button>
-        )}
-        {problem.link && (
-          <Link
-            to={problem.link}
-            aria-label={t("health.notices.openSettings")}
-            className="hover:text-primary"
-          >
-            <LuSlidersHorizontal className="size-4" />
-          </Link>
-        )}
-        {problem.externalLink && (
-          <a
-            href={problem.externalLink}
-            target="_blank"
-            rel="noreferrer"
-            aria-label={t("health.notices.openLink")}
-            className="hover:text-primary"
-          >
-            <LuExternalLink className="size-4" />
-          </a>
-        )}
-      </div>
+      {hasActions && (
+        <div className="ml-auto flex shrink-0 items-center gap-1">
+          {problem.link && (
+            <RowAction label={t("health.notices.openSettings")}>
+              <Button
+                asChild
+                variant="ghost"
+                size="icon"
+                className={ICON_BUTTON_CLASS}
+              >
+                <Link
+                  to={problem.link}
+                  aria-label={t("health.notices.openSettings")}
+                >
+                  <LuSlidersHorizontal className="size-3.5" />
+                </Link>
+              </Button>
+            </RowAction>
+          )}
+          {problem.docLink && (
+            <RowAction label={t("readTheDocumentation", { ns: "common" })}>
+              <Button
+                asChild
+                variant="ghost"
+                size="icon"
+                className={ICON_BUTTON_CLASS}
+              >
+                <a
+                  href={getLocaleDocUrl(problem.docLink)}
+                  target="_blank"
+                  rel="noreferrer"
+                  aria-label={t("readTheDocumentation", { ns: "common" })}
+                >
+                  <LuExternalLink className="size-3.5" />
+                </a>
+              </Button>
+            </RowAction>
+          )}
+          {problem.externalLink && (
+            <RowAction label={t("health.notices.openLink")}>
+              <Button
+                asChild
+                variant="ghost"
+                size="icon"
+                className={ICON_BUTTON_CLASS}
+              >
+                <a
+                  href={problem.externalLink}
+                  target="_blank"
+                  rel="noreferrer"
+                  aria-label={t("health.notices.openLink")}
+                >
+                  <LuExternalLink className="size-3.5" />
+                </a>
+              </Button>
+            </RowAction>
+          )}
+          {problem.onDismiss && (
+            <RowAction label={t("health.notices.dismiss")}>
+              <Button
+                variant="ghost"
+                size="icon"
+                className={ICON_BUTTON_CLASS}
+                aria-label={t("health.notices.dismiss")}
+                onClick={problem.onDismiss}
+              >
+                <LuX className="size-3.5" />
+              </Button>
+            </RowAction>
+          )}
+        </div>
+      )}
     </div>
   );
 }

web/src/components/health/NoticesPane.tsx

@@ -7,8 +7,14 @@ import { Skeleton } from "@/components/ui/skeleton";
 import { useNotices } from "@/hooks/use-notices";
 import { useDateLocale } from "@/hooks/use-date-locale";
 import { useTimezone } from "@/hooks/use-date-utils";
+import useStats, { useAutoFrigateStats } from "@/hooks/use-stats";
+import { useHealthChecks } from "@/hooks/use-health-checks";
 import { formatUnixTimestampToDateTime } from "@/utils/dateUtil";
 import { releaseUrl } from "@/utils/versionUtil";
+import { evaluateConfigHealth } from "@/utils/configHealth";
+import { isStartupWindow } from "@/utils/health";
+import { sortHealthProblems } from "@/utils/healthSort";
+import { streamHealth } from "@/utils/streamHealth";
 import type { FrigateConfig } from "@/types/frigateConfig";
 import type { HealthProblem } from "@/types/health";
 import type { Notice, NoticeKind, NoticeStats } from "@/types/notice";
@@ -75,6 +81,7 @@ function useNoticeProblems(
 
       return {
         id: `notice:${notice.id}`,
+        source: "registry" as const,
         severity: notice.severity,
         scope: notice.scope ?? undefined,
         scopeIsCamera: notice.category === "camera",
@@ -93,19 +100,73 @@ function useNoticeProblems(
 }
 
 export default function NoticesPane() {
-  const { t } = useTranslation(["views/system"]);
+  const { t } = useTranslation(["views/system", "views/settings"]);
+  const { data: config } = useSWR<FrigateConfig>("config", {
+    revalidateOnFocus: false,
+  });
+  const stats = useAutoFrigateStats();
   const { notices, statsByKind, dismiss } = useNotices();
-  const problems = useNoticeProblems(notices, statsByKind, dismiss);
+  const registryProblems = useNoticeProblems(notices, statsByKind, dismiss);
+  const { potentialProblems } = useStats(stats);
+  const {
+    stream: { results },
+  } = useHealthChecks();
+
+  const liveProblems = useMemo<HealthProblem[]>(() => {
+    if (!stats) {
+      return [];
+    }
+
+    if (isStartupWindow(stats)) {
+      return [
+        {
+          id: "live:startup",
+          source: "live",
+          severity: "info",
+          text: t("health.notices.startupWindow"),
+        },
+      ];
+    }
+
+    return potentialProblems.map((problem, index) => ({
+      id: `live:${index}:${problem.text}`,
+      source: "live",
+      severity: problem.severity,
+      text: problem.text,
+      link: problem.relevantLink?.replace(/^(?!\/)/, "/"),
+    }));
+  }, [stats, potentialProblems, t]);
+
+  const configProblems = useMemo<HealthProblem[]>(
+    () => (config ? evaluateConfigHealth(config, t) : []),
+    [config, t],
+  );
+
+  const streamProblems = useMemo<HealthProblem[]>(
+    () => (config ? streamHealth(config, results, t).problems : []),
+    [config, results, t],
+  );
+
+  const problems = useMemo(
+    () =>
+      sortHealthProblems([
+        ...registryProblems,
+        ...liveProblems,
+        ...configProblems,
+        ...streamProblems,
+      ]),
+    [registryProblems, liveProblems, configProblems, streamProblems],
+  );
+
+  const loading = notices === undefined || !config;
 
   return (
     <div className="flex flex-col gap-4">
-      <div>
-        <div className="text-md font-medium text-primary-variant">
-          {t("health.notices.title")}
-        </div>
+      <div className="text-md font-medium text-primary-variant">
+        {t("health.notices.title")}
       </div>
       <div className="rounded-lg bg-background_alt p-2.5 md:rounded-2xl">
-        {notices === undefined ? (
+        {loading ? (
           <Skeleton className="h-24 w-full" />
         ) : problems.length === 0 ? (
           <div className="flex items-center gap-2 px-1 py-2 text-sm">

web/src/components/settings/wizard/Step4Validation.tsx

@@ -20,6 +20,7 @@ import { FaCircleCheck, FaTriangleExclamation } from "react-icons/fa6";
 import { LuX } from "react-icons/lu";
 import { Card, CardContent } from "../../ui/card";
 import { maskUri } from "@/utils/cameraUtil";
+import { ffprobeToTestResult, getStreamIssues } from "@/utils/streamIssues";
 
 type Step4ValidationProps = {
   wizardData: Partial<WizardFormData>;
@@ -74,44 +75,7 @@ export default function Step4Validation({
           timeout: 10000,
         });
 
-        if (response.data?.[0]?.return_code === 0) {
-          const probeData = response.data[0];
-          const streamData = probeData.stdout.streams || [];
-
-          const videoStream = streamData.find(
-            (s: { codec_type?: string; codec_name?: string }) =>
-              s.codec_type === "video" ||
-              s.codec_name?.includes("h264") ||
-              s.codec_name?.includes("h265"),
-          );
-
-          const audioStream = streamData.find(
-            (s: { codec_type?: string; codec_name?: string }) =>
-              s.codec_type === "audio" ||
-              s.codec_name?.includes("aac") ||
-              s.codec_name?.includes("mp3"),
-          );
-
-          const resolution = videoStream
-            ? `${videoStream.width}x${videoStream.height}`
-            : undefined;
-
-          const fps = videoStream?.avg_frame_rate
-            ? parseFloat(videoStream.avg_frame_rate.split("/")[0]) /
-              parseFloat(videoStream.avg_frame_rate.split("/")[1])
-            : undefined;
-
-          return {
-            success: true,
-            resolution,
-            videoCodec: videoStream?.codec_name,
-            audioCodec: audioStream?.codec_name,
-            fps: fps && !isNaN(fps) ? fps : undefined,
-          };
-        } else {
-          const error = response.data?.[0]?.stderr || "Unknown error";
-          return { success: false, error };
-        }
+        return ffprobeToTestResult(response.data?.[0]);
       } catch (error) {
         const axiosError = error as {
           response?: { data?: { message?: string; detail?: string } };
@@ -528,149 +492,21 @@ function StreamIssues({
 }: StreamIssuesProps) {
   const { t } = useTranslation(["views/settings"]);
 
-  const issues = useMemo(() => {
-    const result: Array<{
-      type: "good" | "warning" | "error";
-      message: string;
-    }> = [];
-
-    if (wizardData.brandTemplate === "reolink") {
-      const streamUrl = stream.url.toLowerCase();
-      if (streamUrl.startsWith("rtsp://")) {
-        result.push({
-          type: "warning",
-          message: t("cameraWizard.step4.issues.brands.reolink-rtsp"),
-        });
-      }
-
-      if (streamUrl.startsWith("http://") && !stream.useFfmpeg) {
-        result.push({
-          type: "warning",
-          message: t("cameraWizard.step4.issues.brands.reolink-http"),
-        });
-      }
-    }
-
-    // Video codec check
-    if (stream.testResult?.videoCodec) {
-      const videoCodec = stream.testResult.videoCodec.toLowerCase();
-      if (["h264", "h265", "hevc"].includes(videoCodec)) {
-        result.push({
-          type: "good",
-          message: t("cameraWizard.step4.issues.videoCodecGood", {
-            codec: stream.testResult.videoCodec,
-          }),
-        });
-      }
-    }
-
-    // Audio codec check
-    if (stream.roles.includes("record")) {
-      if (stream.testResult?.audioCodec) {
-        const audioCodec = stream.testResult.audioCodec.toLowerCase();
-        if (audioCodec === "aac") {
-          result.push({
-            type: "good",
-            message: t("cameraWizard.step4.issues.audioCodecGood", {
-              codec: stream.testResult.audioCodec,
-            }),
-          });
-        } else {
-          result.push({
-            type: "error",
-            message: t("cameraWizard.step4.issues.audioCodecRecordError"),
-          });
-        }
-      } else {
-        result.push({
-          type: "warning",
-          message: t("cameraWizard.step4.issues.noAudioWarning"),
-        });
-      }
-    }
-
-    // Audio detection check
-    if (stream.roles.includes("audio")) {
-      if (!stream.testResult?.audioCodec) {
-        result.push({
-          type: "error",
-          message: t("cameraWizard.step4.issues.audioCodecRequired"),
-        });
-      }
-    }
-
-    // Restreaming check
-    if (stream.roles.includes("record")) {
-      if (stream.restream) {
-        result.push({
-          type: "warning",
-          message: t("cameraWizard.step4.issues.restreamingWarning"),
-        });
-      }
-    }
-
-    if (stream.roles.includes("detect") && stream.testResult) {
-      const probedResolution = stream.testResult.resolution;
-      let probedWidth = 0;
-      let probedHeight = 0;
-      if (probedResolution) {
-        const [w, h] = probedResolution.split("x").map(Number);
-        if (!isNaN(w) && !isNaN(h)) {
-          probedWidth = w;
-          probedHeight = h;
-        }
-      }
-
-      if (probedWidth <= 0 || probedHeight <= 0) {
-        result.push({
-          type: "error",
-          message: t("cameraWizard.step4.issues.resolutionUnknown"),
-        });
-      } else {
-        const minDimension = Math.min(probedWidth, probedHeight);
-        const maxDimension = Math.max(probedWidth, probedHeight);
-        if (minDimension > 1080) {
-          result.push({
-            type: "warning",
-            message: t("cameraWizard.step4.issues.resolutionHigh", {
-              resolution: probedResolution,
-            }),
-          });
-        } else if (maxDimension < 640) {
-          result.push({
-            type: "error",
-            message: t("cameraWizard.step4.issues.resolutionLow", {
-              resolution: probedResolution,
-            }),
-          });
-        }
-      }
-    }
-
-    // Substream Check
-    if (
-      wizardData.brandTemplate == "dahua" &&
-      stream.roles.includes("detect") &&
-      stream.url.includes("subtype=1")
-    ) {
-      result.push({
-        type: "warning",
-        message: t("cameraWizard.step4.issues.dahua.substreamWarning"),
-      });
-    }
-    if (
-      wizardData.brandTemplate == "hikvision" &&
-      stream.roles.includes("detect") &&
-      stream.url.includes("/102")
-    ) {
-      result.push({
-        type: "warning",
-        message: t("cameraWizard.step4.issues.hikvision.substreamWarning"),
-      });
-    }
-
-    return result;
-  }, [stream, wizardData, t]);
+  const issues = useMemo(
+    () =>
+      getStreamIssues(
+        {
+          url: stream.url,
+          roles: stream.roles,
+          brand: wizardData.brandTemplate,
+          useFfmpeg: stream.useFfmpeg,
+          restream: stream.restream,
+          testResult: stream.testResult,
+        },
+        t,
+      ),
+    [stream, wizardData, t],
+  );
 
   if (issues.length === 0) {
     return null;

web/src/hooks/use-hardware-health.ts

@@ -0,0 +1,67 @@
+import { useMemo } from "react";
+import useSWR from "swr";
+import { useTranslation } from "react-i18next";
+import type {
+  DetectionHardware,
+  HwaccelRecommendation,
+} from "@/types/hardware";
+import type { FrigateConfig } from "@/types/frigateConfig";
+import { useAutoFrigateStats } from "@/hooks/use-stats";
+import {
+  cameraConnectionCells,
+  detectionRows,
+  enrichmentRows,
+  hwaccelRows,
+  isStartupWindow,
+} from "@/utils/health";
+
+export function useHardwareHealth() {
+  const { t } = useTranslation(["views/system", "views/setup"]);
+  const { data: config } = useSWR<FrigateConfig>("config", {
+    revalidateOnFocus: false,
+  });
+  const { data: hardware, error: probeError } = useSWR<DetectionHardware[]>(
+    "hardware/probe",
+    { revalidateOnFocus: false },
+  );
+  const { data: hwaccel, error: hwaccelError } = useSWR<HwaccelRecommendation>(
+    "hardware/hwaccel",
+    { revalidateOnFocus: false },
+  );
+  const stats = useAutoFrigateStats();
+  const rows = useMemo(() => {
+    if (!config) {
+      return undefined;
+    }
+
+    const startup = isStartupWindow(stats);
+    return {
+      detection: detectionRows({
+        models: config.models,
+        hardware,
+        probeFailed: !!probeError,
+        stats,
+        startup,
+        t,
+      }),
+      hwaccel: hwaccelRows({
+        config,
+        hwaccel,
+        hwaccelFailed: !!hwaccelError,
+        stats,
+        t,
+      }),
+      enrichments: enrichmentRows({
+        config,
+        hardware,
+        probeFailed: !!probeError,
+        stats,
+        startup,
+        t,
+      }),
+      cameras: cameraConnectionCells(config, stats),
+    };
+  }, [config, hardware, probeError, hwaccel, hwaccelError, stats, t]);
+
+  return { rows, statsLoaded: !!stats };
+}

web/src/hooks/use-health-checks.ts

@@ -0,0 +1,192 @@
+import { useCallback, useSyncExternalStore } from "react";
+import axios from "axios";
+import useSWR, { useSWRConfig } from "swr";
+import type { TestResult } from "@/types/cameraWizard";
+import type { FrigateConfig } from "@/types/frigateConfig";
+import { ffprobeToTestResult, type FfprobeEntry } from "@/utils/streamIssues";
+import { activeCameras } from "@/utils/health";
+
+export type CameraStreamCheck = {
+  /** whole-camera failure (request error or timeout) */
+  error?: string;
+  /** one entry per config input, in config order */
+  streams: TestResult[];
+};
+
+export type StreamCheckResults = {
+  checkedAt: number;
+  byCamera: Record<string, CameraStreamCheck>;
+};
+
+type HealthChecksState = {
+  stream: {
+    results?: StreamCheckResults;
+    /** cameras still being probed in the current run */
+    pending: string[];
+    /** camera count of the current run */
+    total: number;
+  };
+  hardware: {
+    rechecking: boolean;
+    /** last on-demand probe; absent means the startup probe is current */
+    probedAt?: number;
+  };
+};
+
+// The tab bar button and both panes read this, so it lives outside React
+// and survives tab switches until reload. SWR is not used because a null
+// fetcher falls back to the global one and would GET /api/health/...
+let state: HealthChecksState = {
+  stream: { pending: [], total: 0 },
+  hardware: { rechecking: false },
+};
+const listeners = new Set<() => void>();
+let streamRunning = false;
+
+function subscribe(listener: () => void) {
+  listeners.add(listener);
+  return () => {
+    listeners.delete(listener);
+  };
+}
+
+function getState() {
+  return state;
+}
+
+function update(patch: (current: HealthChecksState) => HealthChecksState) {
+  state = patch(state);
+  listeners.forEach((listener) => listener());
+}
+
+const CONCURRENCY = 2;
+// the backend probes each input with a 6 s timeout plus one retry
+const TIMEOUT_PER_INPUT_MS = 12_000;
+const TIMEOUT_BASE_MS = 5_000;
+
+async function probeCamera(
+  name: string,
+  inputs: number,
+): Promise<CameraStreamCheck> {
+  try {
+    const response = await axios.get("ffprobe", {
+      params: { paths: `camera:${name}`, detailed: true },
+      timeout: TIMEOUT_BASE_MS + TIMEOUT_PER_INPUT_MS * Math.max(inputs, 1),
+    });
+    const entries: FfprobeEntry[] = Array.isArray(response.data)
+      ? response.data
+      : [];
+    return { streams: entries.map(ffprobeToTestResult) };
+  } catch (error) {
+    const axiosError = error as {
+      response?: { data?: { message?: string } };
+      message?: string;
+    };
+    return {
+      error:
+        axiosError.response?.data?.message ||
+        axiosError.message ||
+        "Connection failed",
+      streams: [],
+    };
+  }
+}
+
+async function runStreamChecks(config: FrigateConfig) {
+  if (streamRunning) {
+    return;
+  }
+
+  streamRunning = true;
+  const cameras = activeCameras(config);
+  const names = cameras.map((camera) => camera.name);
+  update((s) => ({
+    ...s,
+    stream: { ...s.stream, pending: names, total: names.length },
+  }));
+  const byCamera: Record<string, CameraStreamCheck> = {};
+  const queue = [...cameras];
+
+  const worker = async () => {
+    while (queue.length > 0) {
+      const camera = queue.shift();
+      if (!camera) {
+        return;
+      }
+      byCamera[camera.name] = await probeCamera(
+        camera.name,
+        camera.ffmpeg.inputs.length,
+      );
+      update((s) => ({
+        ...s,
+        stream: {
+          ...s.stream,
+          pending: s.stream.pending.filter((c) => c !== camera.name),
+        },
+      }));
+    }
+  };
+
+  try {
+    await Promise.all(
+      Array.from({ length: Math.min(CONCURRENCY, cameras.length) }, worker),
+    );
+    update((s) => ({
+      ...s,
+      stream: {
+        ...s.stream,
+        results: { checkedAt: Date.now() / 1000, byCamera },
+      },
+    }));
+  } finally {
+    streamRunning = false;
+  }
+}
+
+export function useHealthChecks() {
+  const { data: config } = useSWR<FrigateConfig>("config", {
+    revalidateOnFocus: false,
+  });
+  const { mutate } = useSWRConfig();
+  const current = useSyncExternalStore(subscribe, getState);
+
+  const run = useCallback(() => {
+    if (config) {
+      return runStreamChecks(config);
+    }
+  }, [config]);
+
+  const recheck = useCallback(async () => {
+    if (state.hardware.rechecking) {
+      return;
+    }
+
+    update((s) => ({ ...s, hardware: { ...s.hardware, rechecking: true } }));
+    try {
+      await axios.get("hardware/probe", { params: { refresh: true } });
+      await Promise.all([mutate("hardware/probe"), mutate("hardware/hwaccel")]);
+      update((s) => ({
+        ...s,
+        hardware: { rechecking: false, probedAt: Date.now() / 1000 },
+      }));
+    } catch {
+      update((s) => ({ ...s, hardware: { ...s.hardware, rechecking: false } }));
+    }
+  }, [mutate]);
+
+  const runAll = useCallback(
+    () => Promise.all([recheck(), run()]),
+    [recheck, run],
+  );
+
+  return {
+    stream: {
+      ...current.stream,
+      running: current.stream.pending.length > 0,
+      run,
+    },
+    hardware: { ...current.hardware, recheck },
+    runAll,
+    ready: !!config,
+  };
+}

web/src/hooks/use-stats.ts

@@ -4,7 +4,7 @@ import {
   CameraFfmpegThreshold,
   InferenceThreshold,
 } from "@/types/graph";
-import { FrigateStats, PotentialProblem } from "@/types/stats";
+import { FrigateStats, PotentialProblem, ProblemSeverity } from "@/types/stats";
 import { useMemo } from "react";
 import useSWR from "swr";
 import useDeepMemo from "./use-deep-memo";
@@ -15,6 +15,22 @@ import { useIsAdmin } from "./use-is-admin";
 
 import { useTranslation } from "react-i18next";
 
+// the status bar has always rendered these exact classes; keep them byte for
+// byte so its output does not change
+const SEVERITY_COLOR: Record<ProblemSeverity, string> = {
+  error: "text-danger",
+  warning: "text-orange-400",
+  info: "text-selected",
+};
+
+function problem(
+  severity: ProblemSeverity,
+  text: string,
+  relevantLink?: string,
+): PotentialProblem {
+  return { text, severity, color: SEVERITY_COLOR[severity], relevantLink };
+}
+
 export default function useStats(stats: FrigateStats | undefined) {
   const { t } = useTranslation(["views/system"]);
   const { data: config } = useSWR<FrigateConfig>("config");
@@ -48,36 +64,42 @@ export default function useStats(stats: FrigateStats | undefined) {
     // check shm level
     const shm = memoizedStats.service.storage["/dev/shm"];
     if (shm?.total && shm?.min_shm && shm.total < shm.min_shm) {
-      problems.push({
-        text: t("stats.shmTooLow", {
-          total: shm.total,
-          min: shm.min_shm,
-        }),
-        color: "text-danger",
-        relevantLink: "/system#storage",
-      });
+      problems.push(
+        problem(
+          "error",
+          t("stats.shmTooLow", {
+            total: shm.total,
+            min: shm.min_shm,
+          }),
+          "/system#storage",
+        ),
+      );
     }
 
     // check detectors for high inference speeds
     Object.entries(memoizedStats["detectors"]).forEach(([key, det]) => {
       if (det["inference_speed"] > InferenceThreshold.error) {
-        problems.push({
-          text: t("stats.detectIsVerySlow", {
-            detect: capitalizeFirstLetter(key),
-            speed: det["inference_speed"],
-          }),
-          color: "text-danger",
-          relevantLink: "/system#general",
-        });
+        problems.push(
+          problem(
+            "error",
+            t("stats.detectIsVerySlow", {
+              detect: capitalizeFirstLetter(key),
+              speed: det["inference_speed"],
+            }),
+            "/system#general",
+          ),
+        );
       } else if (det["inference_speed"] > InferenceThreshold.warning) {
-        problems.push({
-          text: t("stats.detectIsSlow", {
-            detect: capitalizeFirstLetter(key),
-            speed: det["inference_speed"],
-          }),
-          color: "text-orange-400",
-          relevantLink: "/system#general",
-        });
+        problems.push(
+          problem(
+            "warning",
+            t("stats.detectIsSlow", {
+              detect: capitalizeFirstLetter(key),
+              speed: det["inference_speed"],
+            }),
+            "/system#general",
+          ),
+        );
       }
     });
 
@@ -94,13 +116,15 @@ export default function useStats(stats: FrigateStats | undefined) {
 
       const cameraName = config.cameras?.[name]?.friendly_name ?? name;
       if (config.cameras?.[name]?.enabled && cam["camera_fps"] == 0) {
-        problems.push({
-          text: t("stats.cameraIsOffline", {
-            camera: capitalizeFirstLetter(capitalizeAll(cameraName)),
-          }),
-          color: "text-danger",
-          relevantLink: "logs",
-        });
+        problems.push(
+          problem(
+            "error",
+            t("stats.cameraIsOffline", {
+              camera: capitalizeFirstLetter(capitalizeAll(cameraName)),
+            }),
+            "logs",
+          ),
+        );
       }
     });
 
@@ -121,37 +145,43 @@ export default function useStats(stats: FrigateStats | undefined) {
       const cameraName = config?.cameras?.[name]?.friendly_name ?? name;
 
       if (!isNaN(ffmpegAvg) && ffmpegAvg >= CameraFfmpegThreshold.error) {
-        problems.push({
-          text: t("stats.ffmpegHighCpuUsage", {
-            camera: capitalizeFirstLetter(capitalizeAll(cameraName)),
-            ffmpegAvg,
-          }),
-          color: "text-danger",
-          relevantLink: "/system#cameras",
-        });
+        problems.push(
+          problem(
+            "error",
+            t("stats.ffmpegHighCpuUsage", {
+              camera: capitalizeFirstLetter(capitalizeAll(cameraName)),
+              ffmpegAvg,
+            }),
+            "/system#cameras",
+          ),
+        );
       }
 
       if (!isNaN(detectAvg) && detectAvg >= CameraDetectThreshold.error) {
-        problems.push({
-          text: t("stats.detectHighCpuUsage", {
-            camera: capitalizeFirstLetter(capitalizeAll(cameraName)),
-            detectAvg,
-          }),
-          color: "text-danger",
-          relevantLink: "/system#cameras",
-        });
+        problems.push(
+          problem(
+            "error",
+            t("stats.detectHighCpuUsage", {
+              camera: capitalizeFirstLetter(capitalizeAll(cameraName)),
+              detectAvg,
+            }),
+            "/system#cameras",
+          ),
+        );
       }
     });
 
     // Add message if debug replay is active
     if (replayActive) {
-      problems.push({
-        text: t("stats.debugReplayActive", {
-          defaultValue: "Debug replay session is active",
-        }),
-        color: "text-selected",
-        relevantLink: "/replay",
-      });
+      problems.push(
+        problem(
+          "info",
+          t("stats.debugReplayActive", {
+            defaultValue: "Debug replay session is active",
+          }),
+          "/replay",
+        ),
+      );
     }
 
     return problems;

web/src/pages/Settings.tsx

@@ -705,7 +705,9 @@ export default function Settings() {
       .sort((aConf, bConf) => aConf.ui.order - bConf.ui.order);
   }, [config]);
 
-  const [selectedCamera, setSelectedCamera] = useState<string>("");
+  const [selectedCamera, setSelectedCamera] = useState<string>(
+    () => searchParams.get("camera") ?? "",
+  );
 
   // Get all camera overrides for the selected camera
   const cameraOverrides = useAllCameraOverrides(config, selectedCamera);
@@ -1164,6 +1166,12 @@ export default function Settings() {
   });
 
   useSearchEffect("camera", (camera: string) => {
+    // the config drives the camera list, so keep the param until it loads
+    // rather than consuming it against an empty list
+    if (cameras.length === 0) {
+      return false;
+    }
+
     const cameraNames = cameras.map((c) => c.name);
     if (cameraNames.includes(camera)) {
       setSelectedCamera(camera);

web/src/pages/System.tsx

@@ -122,7 +122,7 @@ function System() {
         </ToggleGroup>
 
         <div className="flex h-full items-center">
-          {lastUpdated && (
+          {lastUpdated && pageToggle != "health" && (
             <div className="h-full content-center text-sm text-muted-foreground">
               {t("lastRefreshed")}
               <TimeAgo time={lastUpdated * 1000} dense />

web/src/types/cameraWizard.ts

@@ -222,3 +222,25 @@ export type OnvifProbeResponse = {
   message?: string;
   detail?: string;
 };
+
+/**
+ * Best-effort brand from a camera URL, so the wizard's brand-specific stream
+ * warnings can run for cameras that were not created by the wizard.
+ */
+export function inferCameraBrand(url: string): CameraBrand | undefined {
+  const lower = url.toLowerCase();
+
+  if (lower.includes("app=bcs") || lower.includes("/preview_")) {
+    return "reolink";
+  }
+
+  if (lower.includes("/cam/realmonitor")) {
+    return "dahua";
+  }
+
+  if (lower.includes("/streaming/channels/")) {
+    return "hikvision";
+  }
+
+  return undefined;
+}

web/src/types/frigateConfig.ts

@@ -28,13 +28,15 @@ export type BirdseyeMode =
 
 export interface FaceRecognitionConfig {
   enabled: boolean;
+  device?: string | null;
   model_size: SearchModelSize;
   unknown_score: number;
   detection_threshold: number;
   recognition_threshold: number;
 }
 
-export type SearchModel = "jinav1" | "jinav2";
+// a GenAI provider name is also accepted by the backend
+export type SearchModel = "jinav1" | "jinav2" | (string & NonNullable<unknown>);
 export type SearchModelSize = "small" | "large";
 
 export interface CameraConfig {
@@ -85,11 +87,11 @@ export interface CameraConfig {
   };
   ffmpeg: {
     global_args: string[];
-    hwaccel_args: string;
+    hwaccel_args: string | string[];
     input_args: string;
     inputs: {
       global_args: string[];
-      hwaccel_args: string[];
+      hwaccel_args: string | string[];
       input_args: string;
       path: string;
       roles: string[];
@@ -448,6 +450,7 @@ export interface FrigateConfig {
 
   audio_transcription: {
     enabled: boolean;
+    device: "GPU" | "CPU";
   };
 
   auth: {
@@ -501,7 +504,7 @@ export interface FrigateConfig {
 
   ffmpeg: {
     global_args: string[];
-    hwaccel_args: string;
+    hwaccel_args: string | string[];
     input_args: string;
     output_args: {
       detect: string[];
@@ -527,6 +530,7 @@ export interface FrigateConfig {
 
   lpr: {
     enabled: boolean;
+    device?: string | null;
   };
 
   logger: {
@@ -615,6 +619,7 @@ export interface FrigateConfig {
 
   semantic_search: {
     enabled: boolean;
+    device?: string | null;
     reindex: boolean;
     model: SearchModel;
     model_size: SearchModelSize;

web/src/types/health.ts

@@ -9,6 +9,8 @@ export type HealthSeverity = "error" | "warning" | "info";
  */
 export type HealthProblem = {
   id: string;
+  /** which source produced the row; part of the sort order */
+  source: "registry" | "live" | "config" | "stream";
   severity: HealthSeverity;
   /** camera name or other scope shown as a chip before the text */
   scope?: string;
@@ -23,5 +25,7 @@ export type HealthProblem = {
   docLink?: string;
   /** absolute URL rendered as an external link (the update notice's release page) */
   externalLink?: string;
+  /** render with a spinner instead of the severity icon (stream check running) */
+  pending?: boolean;
   onDismiss?: () => void;
 };

web/src/types/stats.ts

@@ -54,6 +54,7 @@ export type EmbeddingsStats = {
   face_embedding_speed: number;
   plate_recognition_speed: number;
   text_embedding_speed: number;
+  devices?: Record<string, string>;
 };
 
 export type ExtraProcessStats = {
@@ -119,8 +120,11 @@ export type CameraStorage = {
   };
 };
 
+export type ProblemSeverity = "error" | "warning" | "info";
+
 export type PotentialProblem = {
   text: string;
+  severity: ProblemSeverity;
   color: string;
   relevantLink?: string;
 };

web/src/utils/configHealth.ts

@@ -0,0 +1,204 @@
+import type { TFunction } from "i18next";
+import { sectionConfigs } from "@/components/config-form/sectionConfigs";
+import type {
+  ConditionalMessage,
+  MessageConditionContext,
+} from "@/components/config-form/section-configs/types";
+import { settingsLink } from "@/components/config-form/sectionPages";
+import type { ConfigSectionData } from "@/types/configForm";
+import type { FrigateConfig } from "@/types/frigateConfig";
+import type { HealthProblem } from "@/types/health";
+import { getSectionConfig } from "@/utils/configUtil";
+import { activeCameras } from "@/utils/health";
+
+function healthMessages(
+  section: string,
+  level: "global" | "camera",
+): ConditionalMessage[] {
+  const config = getSectionConfig(section, level);
+  return [...(config.messages ?? []), ...(config.fieldMessages ?? [])].filter(
+    (message) => message.health,
+  );
+}
+
+function isActive(
+  message: ConditionalMessage,
+  ctx: MessageConditionContext,
+): boolean {
+  if (!message.condition(ctx)) {
+    return false;
+  }
+
+  return typeof message.health === "function" ? message.health(ctx) : true;
+}
+
+function toProblem(
+  message: ConditionalMessage,
+  section: string,
+  ctx: MessageConditionContext,
+  scope: string | undefined,
+  scopeIsCamera: boolean,
+  idSuffix: string,
+  t: TFunction,
+): HealthProblem {
+  return {
+    id: `config:${section}:${message.key}:${idSuffix}`,
+    source: "config",
+    severity: message.severity,
+    scope,
+    scopeIsCamera,
+    text: t(message.messageKey, {
+      ns: "views/settings",
+      ...(message.values ?? {}),
+    }),
+    docLink: message.docLink,
+    link: settingsLink(section, ctx.level, ctx.cameraName),
+  };
+}
+
+/**
+ * Evaluate every config message flagged for the Health tab against the saved,
+ * resolved config. The rules stay in the section configs, so the settings
+ * form and the Health tab can never disagree.
+ */
+/**
+ * Whether a camera section still carries the global section's values. Only
+ * keys the global block sets count: the resolved global detect leaves width
+ * and height null while every camera has numbers, so a full JSON comparison
+ * would never match.
+ */
+function inheritsGlobal(
+  cameraSection: Record<string, unknown>,
+  globalSection: Record<string, unknown>,
+): boolean {
+  return Object.entries(globalSection).every(([key, globalValue]) => {
+    if (globalValue === null || globalValue === undefined) {
+      return true;
+    }
+
+    const cameraValue = cameraSection[key];
+
+    if (
+      typeof globalValue === "object" &&
+      !Array.isArray(globalValue) &&
+      typeof cameraValue === "object" &&
+      cameraValue !== null &&
+      !Array.isArray(cameraValue)
+    ) {
+      return inheritsGlobal(
+        cameraValue as Record<string, unknown>,
+        globalValue as Record<string, unknown>,
+      );
+    }
+
+    return JSON.stringify(cameraValue) === JSON.stringify(globalValue);
+  });
+}
+
+export function evaluateConfigHealth(
+  config: FrigateConfig,
+  t: TFunction,
+): HealthProblem[] {
+  const problems: HealthProblem[] = [];
+  const firedGlobally = new Set<string>();
+  const cameras = activeCameras(config);
+  const record = config as unknown as Record<string, unknown>;
+
+  Object.keys(sectionConfigs).forEach((section) => {
+    const globalMessages = healthMessages(section, "global");
+
+    if (globalMessages.length > 0) {
+      const sectionData = record[section];
+      // models is a list; every other section is one object
+      const items: {
+        formData: ConfigSectionData;
+        scope?: string;
+        idSuffix: string;
+      }[] =
+        section === "models" && Array.isArray(sectionData)
+          ? sectionData.map((model, index) => ({
+              formData: model as ConfigSectionData,
+              scope: t(
+                `detectionModels.scenes.${(model as { scene?: string }).scene || "all"}`,
+                { ns: "views/settings" },
+              ),
+              idSuffix: `model${index}`,
+            }))
+          : [
+              {
+                formData: (sectionData ?? {}) as ConfigSectionData,
+                idSuffix: "global",
+              },
+            ];
+
+      items.forEach(({ formData, scope, idSuffix }) => {
+        const ctx: MessageConditionContext = {
+          fullConfig: config,
+          level: "global",
+          formData,
+        };
+        globalMessages
+          .filter((message) => isActive(message, ctx))
+          .forEach((message) => {
+            const problem = toProblem(
+              message,
+              section,
+              ctx,
+              scope,
+              false,
+              idSuffix,
+              t,
+            );
+            firedGlobally.add(`${section}:${message.key}`);
+            problems.push(problem);
+          });
+      });
+    }
+
+    const cameraMessages = healthMessages(section, "camera");
+
+    if (cameraMessages.length > 0) {
+      const globalSection = (record[section] ?? {}) as Record<string, unknown>;
+
+      cameras.forEach((camera) => {
+        const cameraRecord = camera as unknown as Record<string, unknown>;
+        const sectionData = cameraRecord[section] ?? {};
+        // cameras inherit global values, so a problem the global row already
+        // states would repeat once per camera; a camera that overrides the
+        // section keeps its own row and link
+        const inherited = inheritsGlobal(
+          sectionData as Record<string, unknown>,
+          globalSection,
+        );
+        const ctx: MessageConditionContext = {
+          fullConfig: config,
+          fullCameraConfig: camera,
+          level: "camera",
+          cameraName: camera.name,
+          formData: sectionData as ConfigSectionData,
+        };
+        cameraMessages
+          .filter((message) => isActive(message, ctx))
+          .forEach((message) => {
+            const problem = toProblem(
+              message,
+              section,
+              ctx,
+              camera.name,
+              true,
+              camera.name,
+              t,
+            );
+
+            if (
+              !(inherited && firedGlobally.has(`${section}:${message.key}`))
+            ) {
+              problems.push(problem);
+            }
+          });
+      });
+    }
+  });
+
+  return problems;
+}

web/src/utils/health.ts

@@ -0,0 +1,779 @@
+import type { TFunction } from "i18next";
+import type {
+  DetectionHardware,
+  HwaccelRecommendation,
+} from "@/types/hardware";
+import type {
+  CameraConfig,
+  DetectionModelConfig,
+  FrigateConfig,
+} from "@/types/frigateConfig";
+import type { FrigateStats, GpuVendor } from "@/types/stats";
+import { InferenceThreshold } from "@/types/graph";
+import { summarizeDevices } from "@/utils/detectionHardware";
+import { isReplayCamera } from "@/utils/cameraUtil";
+import { resolveCameraName } from "@/hooks/use-camera-friendly-name";
+
+export type HealthState = "ok" | "warning" | "error" | "unknown";
+
+export type HardwareRow = {
+  id: string;
+  state: HealthState;
+  label: string;
+  /** muted text on the label line, what is actually running */
+  detail?: string;
+  /** reason line under the label, colored by state */
+  message?: string;
+};
+
+/** seconds after startup during which stats-based rules report unknown */
+export const STARTUP_WINDOW_S = 120;
+
+// ---------------------------------------------------------------- detection
+
+/**
+ * Detector runner names exactly as the backend's runner_names() builds them:
+ * every model's devices in config order, first occurrence is the raw device
+ * string, the Nth repeat is "raw#N".
+ */
+export function runnerNames(models: DetectionModelConfig[]): string[] {
+  const counts = new Map<string, number>();
+  const names: string[] = [];
+
+  models.forEach((model) => {
+    model.devices.forEach((raw) => {
+      const count = (counts.get(raw) ?? 0) + 1;
+      counts.set(raw, count);
+      names.push(count === 1 ? raw : `${raw}#${count}`);
+    });
+  });
+
+  return names;
+}
+
+/** detectors the probe reports; anything else cannot be checked for presence */
+export const PROBED_DETECTORS = new Set([
+  "cpu",
+  "edgetpu",
+  "hailo8l",
+  "memryx",
+  "openvino",
+  "onnx",
+  "tensorrt",
+  "rknn",
+  "axengine",
+  "synaptics",
+]);
+
+/** detectors that fall back to the CPU when no accelerator is present */
+const CPU_FALLBACK_DETECTORS = new Set(["onnx", "openvino"]);
+
+export type DevicePresence = "present" | "unverified" | "absent";
+
+/**
+ * Whether a configured device string was found by the hardware probe.
+ * "unverified" means the detector's hardware is present but the probe does
+ * not enumerate this particular device (openvino:AUTO, rknn:0), so it must
+ * not be reported as missing.
+ */
+export function devicePresence(
+  device: string,
+  hardware: DetectionHardware[],
+): DevicePresence {
+  const [detector, ...rest] = device.split(":");
+  const devicePart = rest.join(":");
+
+  if (detector === "cpu" || devicePart.toUpperCase() === "CPU") {
+    return "present";
+  }
+
+  if (!PROBED_DETECTORS.has(detector)) {
+    return "unverified";
+  }
+
+  const entries = hardware.filter((entry) => entry.detector === detector);
+  const generic = devicePart === "" || devicePart.toUpperCase() === "AUTO";
+
+  if (entries.length === 0) {
+    // a bare onnx or openvino runs on the CPU when nothing is attached, so
+    // an empty probe is not proof of missing hardware for those
+    return generic && CPU_FALLBACK_DETECTORS.has(detector)
+      ? "unverified"
+      : "absent";
+  }
+
+  if (generic) {
+    return "present";
+  }
+
+  const unitMatch = entries.some((entry) =>
+    entry.units.some(
+      (unit) =>
+        unit.device === device ||
+        unit.device.startsWith(`${device}:`) ||
+        unit.device.startsWith(`${device}.`),
+    ),
+  );
+
+  return unitMatch ? "present" : "unverified";
+}
+
+type DetectionArgs = {
+  models: DetectionModelConfig[];
+  hardware: DetectionHardware[] | undefined;
+  probeFailed: boolean;
+  stats: FrigateStats | undefined;
+  startup: boolean;
+  t: TFunction;
+};
+
+export function detectionRows({
+  models,
+  hardware,
+  probeFailed,
+  stats,
+  startup,
+  t,
+}: DetectionArgs): HardwareRow[] {
+  const names = runnerNames(models);
+  let cursor = 0;
+
+  return models.map((model, index) => {
+    const modelRunners = names.slice(cursor, cursor + model.devices.length);
+    cursor += model.devices.length;
+
+    const label = t(`detectionModels.scenes.${model.scene || "all"}`, {
+      ns: "views/settings",
+    });
+    const id = `detection:${index}`;
+    const detail = probeFailed
+      ? t("health.hardware.probeUnavailable", {
+          ns: "views/system",
+        })
+      : summarizeDevices(hardware ?? [], model.devices);
+
+    if (!probeFailed && hardware) {
+      const presence = new Map(
+        model.devices.map((device) => [
+          device,
+          devicePresence(device, hardware),
+        ]),
+      );
+      const missing = [...presence]
+        .filter(([, state]) => state === "absent")
+        .map(([device]) => device);
+
+      if (missing.length > 0) {
+        return {
+          id,
+          state: "error",
+          label,
+          detail,
+          message: t("health.hardware.deviceNotFound", {
+            ns: "views/system",
+            devices: missing.join(", "),
+          }),
+        };
+      }
+
+      // unverified devices are skipped by the presence rule; the runtime
+      // rules below still decide the row
+    }
+
+    if (startup || !stats) {
+      return {
+        id,
+        state: "unknown",
+        label,
+        detail,
+        message: t("health.hardware.justStarted", {
+          ns: "views/system",
+        }),
+      };
+    }
+
+    const missingRunner = modelRunners.find((name) => !stats.detectors[name]);
+
+    if (missingRunner) {
+      return {
+        id,
+        state: "error",
+        label,
+        detail,
+        message: t("health.hardware.detectorNotRunning", {
+          ns: "views/system",
+        }),
+      };
+    }
+
+    const slowest = Math.max(
+      ...modelRunners.map((name) => stats.detectors[name].inference_speed),
+    );
+
+    if (slowest > InferenceThreshold.error) {
+      return {
+        id,
+        state: "error",
+        label,
+        detail,
+        message: t("health.hardware.inferenceVerySlow", {
+          ns: "views/system",
+          speed: slowest,
+        }),
+      };
+    }
+
+    if (slowest > InferenceThreshold.warning) {
+      return {
+        id,
+        state: "warning",
+        label,
+        detail,
+        message: t("health.hardware.inferenceSlow", {
+          ns: "views/system",
+          speed: slowest,
+        }),
+      };
+    }
+
+    return {
+      id,
+      state: "ok",
+      label,
+      detail: [
+        detail,
+        t("health.hardware.inferenceMs", {
+          ns: "views/system",
+          speed: slowest,
+        }),
+      ]
+        .filter(Boolean)
+        .join(" · "),
+    };
+  });
+}
+
+// ------------------------------------------------------------------ hwaccel
+
+export type HwaccelFamilyKey =
+  | "nvidia"
+  | "vaapi"
+  | "intel-qsv"
+  | "rkmpp"
+  | "jetson"
+  | "rpi";
+
+export type HwaccelClass =
+  | { kind: "none" }
+  | { kind: "custom" }
+  | { kind: "preset"; family: HwaccelFamilyKey };
+
+const PRESET_FAMILIES: [string, HwaccelFamilyKey][] = [
+  ["preset-nvidia", "nvidia"],
+  ["preset-vaapi", "vaapi"],
+  ["preset-intel-qsv", "intel-qsv"],
+  ["preset-rk", "rkmpp"],
+  ["preset-jetson", "jetson"],
+  ["preset-rpi", "rpi"],
+];
+
+export function hwaccelFamily(value: string | string[]): HwaccelClass {
+  if (Array.isArray(value)) {
+    return value.length === 0 ? { kind: "none" } : { kind: "custom" };
+  }
+
+  // the backend resolves global and camera auto at startup; a literal auto
+  // left on an input means no hardware decoding for it at runtime
+  if (value === "" || value === "auto") {
+    return { kind: "none" };
+  }
+
+  const match = PRESET_FAMILIES.find(([prefix]) => value.startsWith(prefix));
+  return match ? { kind: "preset", family: match[1] } : { kind: "custom" };
+}
+
+const FAMILY_VENDORS: Record<HwaccelFamilyKey, GpuVendor[]> = {
+  nvidia: ["nvidia"],
+  jetson: ["nvidia"],
+  "intel-qsv": ["intel"],
+  vaapi: ["intel", "amd"],
+  rkmpp: ["rockchip"],
+  rpi: ["rpi"],
+};
+
+function decoderUsage(
+  family: HwaccelFamilyKey,
+  stats: FrigateStats | undefined,
+): string | undefined {
+  if (!stats?.gpu_usages) {
+    return undefined;
+  }
+
+  const entry = Object.values(stats.gpu_usages).find(
+    (gpu) =>
+      gpu.vendor && FAMILY_VENDORS[family].includes(gpu.vendor) && gpu.dec,
+  );
+  return entry?.dec;
+}
+
+function valueKey(value: string | string[]): string {
+  return Array.isArray(value) ? JSON.stringify(value) : value;
+}
+
+type HwaccelArgs = {
+  config: FrigateConfig;
+  hwaccel: HwaccelRecommendation | undefined;
+  hwaccelFailed: boolean;
+  stats: FrigateStats | undefined;
+  t: TFunction;
+};
+
+export function hwaccelRows({
+  config,
+  hwaccel,
+  hwaccelFailed,
+  stats,
+  t,
+}: HwaccelArgs): HardwareRow[] {
+  const cameras = activeCameras(config);
+  const camerasByValue = new Map<
+    string,
+    { value: string | string[]; cameras: string[] }
+  >();
+
+  cameras.forEach((camera) => {
+    const values: (string | string[])[] = [camera.ffmpeg.hwaccel_args ?? ""];
+    camera.ffmpeg.inputs.forEach((input) => {
+      if (input.hwaccel_args && input.hwaccel_args.length > 0) {
+        values.push(input.hwaccel_args);
+      }
+    });
+
+    values.forEach((value) => {
+      const key = valueKey(value);
+      const entry = camerasByValue.get(key) ?? { value, cameras: [] };
+      if (!entry.cameras.includes(camera.name)) {
+        entry.cameras.push(camera.name);
+      }
+      camerasByValue.set(key, entry);
+    });
+  });
+
+  const familyName = (family: HwaccelFamilyKey | "none") =>
+    t(`setupWizard.hwaccel.families.${family}`, { ns: "views/setup" });
+
+  return [...camerasByValue.entries()].map(([key, entry]) => {
+    const id = `hwaccel:${key}`;
+    const cameraList =
+      entry.cameras.length === cameras.length
+        ? t("health.hardware.allCameras", {
+            ns: "views/system",
+          })
+        : entry.cameras
+            .map((name) => resolveCameraName(config, name))
+            .join(", ");
+    const classified = hwaccelFamily(entry.value);
+
+    if (hwaccelFailed) {
+      return {
+        id,
+        state: "unknown",
+        label:
+          classified.kind === "preset" ? familyName(classified.family) : key,
+        detail: cameraList,
+        message: t("health.hardware.probeUnavailable", {
+          ns: "views/system",
+        }),
+      };
+    }
+
+    if (classified.kind === "custom") {
+      return {
+        id,
+        state: "unknown",
+        label: t("health.hardware.customArgs", {
+          ns: "views/system",
+        }),
+        detail: cameraList,
+        message: t("health.hardware.customArgsNotVerified", {
+          ns: "views/system",
+        }),
+      };
+    }
+
+    const available = hwaccel?.available ?? [];
+
+    if (classified.kind === "none") {
+      if (available.length > 0 && hwaccel?.recommended) {
+        return {
+          id,
+          state: "warning",
+          label: familyName("none"),
+          detail: cameraList,
+          message: t("health.hardware.hwaccelNotConfigured", {
+            ns: "views/system",
+            family: familyName(hwaccel.recommended as HwaccelFamilyKey),
+          }),
+        };
+      }
+
+      return { id, state: "ok", label: familyName("none"), detail: cameraList };
+    }
+
+    const label = familyName(classified.family);
+    const present = available.some(
+      (family) => family.key === classified.family,
+    );
+
+    // a warning, not an error: the resolved config comes from go2rtc's
+    // answer while `available` comes from the device probe, and the two
+    // disagree on whole platform families
+    if (!present) {
+      return {
+        id,
+        state: "warning",
+        label,
+        detail: cameraList,
+        message: t("health.hardware.hwaccelHardwareMissing", {
+          ns: "views/system",
+          family: label,
+        }),
+      };
+    }
+
+    const dec = decoderUsage(classified.family, stats);
+    const detail = dec
+      ? `${cameraList} · ${t("health.hardware.decoderUsage", {
+          ns: "views/system",
+          usage: dec,
+        })}`
+      : cameraList;
+
+    return { id, state: "ok", label, detail };
+  });
+}
+
+// -------------------------------------------------------------- enrichments
+
+const ANY_ACCELERATOR = [
+  "onnx:nvidia",
+  "onnx:amd",
+  "openvino:GPU",
+  "openvino:NPU",
+  "rknn",
+  "tensorrt",
+];
+
+/**
+ * Probe keys that satisfy a requested device string. AUTO and the implicit
+ * defaults accept any accelerator; an explicit override must match its own
+ * hardware. Undefined means the string is not one we can check.
+ */
+export function acceleratorKeysFor(
+  requested: string,
+  nvidiaOnly: boolean,
+): string[] | undefined {
+  if (nvidiaOnly) {
+    return ["onnx:nvidia"];
+  }
+
+  const upper = requested.toUpperCase();
+
+  if (upper === "AUTO") {
+    return ANY_ACCELERATOR;
+  }
+
+  // ONNX Runtime puts a plain GPU request on whichever GPU it has; only an
+  // indexed GPU.n names OpenVINO specifically
+  if (upper === "GPU") {
+    return ["openvino:GPU", "onnx:nvidia", "onnx:amd"];
+  }
+
+  if (/^GPU\.\d+$/.test(upper)) {
+    return ["openvino:GPU"];
+  }
+
+  if (upper === "NPU") {
+    return ["openvino:NPU"];
+  }
+
+  if (upper.startsWith("CUDA") || upper.startsWith("TENSORRT")) {
+    return ["onnx:nvidia"];
+  }
+
+  if (upper.startsWith("ROCM") || upper.startsWith("MIGRAPHX")) {
+    return ["onnx:amd"];
+  }
+
+  return undefined;
+}
+
+function acceleratorPresent(
+  hardware: DetectionHardware[] | undefined,
+  keys: string[],
+): boolean {
+  return (hardware ?? []).some((entry) => keys.includes(entry.key));
+}
+
+type EnrichmentSpec = {
+  id: "semantic_search" | "face_recognition" | "lpr" | "audio_transcription";
+  enabled: boolean;
+  /** what the config asks for, after the backend's own defaults */
+  requested: string;
+  explicit: boolean;
+  remote: boolean;
+  nvidiaOnly: boolean;
+  /** runtime device is not reported for this enrichment in v1 */
+  presenceOnly: boolean;
+};
+
+function enrichmentSpecs(config: FrigateConfig): EnrichmentSpec[] {
+  const ss = config.semantic_search;
+  const anyCameraTranscribes = Object.values(config.cameras).some(
+    (camera) => camera.audio_transcription?.enabled,
+  );
+
+  return [
+    {
+      id: "semantic_search",
+      enabled: ss.enabled,
+      requested: ss.device ?? (ss.model_size === "large" ? "GPU" : "CPU"),
+      explicit: ss.device != null,
+      remote: ss.model !== "jinav1" && ss.model !== "jinav2",
+      nvidiaOnly: false,
+      presenceOnly: false,
+    },
+    {
+      id: "face_recognition",
+      enabled: config.face_recognition.enabled,
+      requested: config.face_recognition.device ?? "GPU",
+      explicit: config.face_recognition.device != null,
+      remote: false,
+      nvidiaOnly: false,
+      presenceOnly: false,
+    },
+    {
+      id: "lpr",
+      enabled: config.lpr.enabled,
+      requested: config.lpr.device ?? "AUTO",
+      explicit: config.lpr.device != null,
+      remote: false,
+      nvidiaOnly: false,
+      presenceOnly: false,
+    },
+    {
+      id: "audio_transcription",
+      enabled: config.audio_transcription.enabled || anyCameraTranscribes,
+      requested: config.audio_transcription.device ?? "CPU",
+      explicit: true,
+      remote: false,
+      nvidiaOnly: true,
+      presenceOnly: true,
+    },
+  ];
+}
+
+type EnrichmentArgs = {
+  config: FrigateConfig;
+  hardware: DetectionHardware[] | undefined;
+  probeFailed: boolean;
+  stats: FrigateStats | undefined;
+  startup: boolean;
+  t: TFunction;
+};
+
+export function enrichmentRows({
+  config,
+  hardware,
+  probeFailed,
+  stats,
+  startup,
+  t,
+}: EnrichmentArgs): HardwareRow[] {
+  return enrichmentSpecs(config)
+    .filter((spec) => spec.enabled)
+    .map((spec) => {
+      const id = `enrichment:${spec.id}`;
+      const label = t(`health.hardware.enrichments.${spec.id}`, {
+        ns: "views/system",
+      });
+
+      if (spec.remote) {
+        return {
+          id,
+          state: "ok",
+          label,
+          detail: t("health.hardware.remoteProvider", {
+            ns: "views/system",
+          }),
+        };
+      }
+
+      if (spec.requested.toUpperCase() === "CPU") {
+        return { id, state: "ok", label, detail: "CPU" };
+      }
+
+      if (probeFailed) {
+        return {
+          id,
+          state: "unknown",
+          label,
+          message: t("health.hardware.probeUnavailable", {
+            ns: "views/system",
+          }),
+        };
+      }
+
+      // implicit defaults (GPU for face recognition and large semantic
+      // search) accept any accelerator; only an explicit override is matched
+      // against its own hardware
+      const keys = spec.explicit
+        ? acceleratorKeysFor(spec.requested, spec.nvidiaOnly)
+        : spec.nvidiaOnly
+          ? ["onnx:nvidia"]
+          : ANY_ACCELERATOR;
+
+      if (!keys) {
+        return {
+          id,
+          state: "unknown",
+          label,
+          message: t("health.hardware.unrecognizedDevice", {
+            ns: "views/system",
+          }),
+        };
+      }
+
+      const present = acceleratorPresent(hardware, keys);
+      const runtime = startup
+        ? undefined
+        : stats?.embeddings?.devices?.[spec.id];
+      const runtimeIsCpu = !!runtime && runtime.toUpperCase().includes("CPU");
+
+      // a model that reports an accelerator is proof enough, whatever the
+      // probe keys say
+      if (runtime && !runtimeIsCpu) {
+        return { id, state: "ok", label, detail: runtime };
+      }
+
+      if (
+        spec.explicit &&
+        spec.requested.toUpperCase() !== "AUTO" &&
+        hardware &&
+        !present
+      ) {
+        return {
+          id,
+          state: "error",
+          label,
+          message: t("health.hardware.acceleratorMissing", {
+            ns: "views/system",
+            device: spec.requested,
+          }),
+        };
+      }
+
+      if (spec.presenceOnly) {
+        return { id, state: "ok", label, detail: spec.requested };
+      }
+
+      if (!runtime) {
+        return {
+          id,
+          state: "unknown",
+          label,
+          message: t("health.hardware.modelNotRunYet", {
+            ns: "views/system",
+          }),
+        };
+      }
+
+      if (
+        runtimeIsCpu &&
+        present &&
+        spec.explicit &&
+        spec.requested.toUpperCase() !== "AUTO"
+      ) {
+        return {
+          id,
+          state: "error",
+          label,
+          detail: "CPU",
+          message: t("health.hardware.fellBackToCpu", {
+            ns: "views/system",
+            device: spec.requested,
+          }),
+        };
+      }
+
+      if (runtimeIsCpu && present) {
+        return {
+          id,
+          state: "warning",
+          label,
+          detail: "CPU",
+          message: t("health.hardware.cpuDespiteAccelerator", {
+            ns: "views/system",
+          }),
+        };
+      }
+
+      return { id, state: "ok", label, detail: runtimeIsCpu ? "CPU" : runtime };
+    });
+}
+
+// ------------------------------------------------------- camera connections
+
+export type CameraConnectionCell = {
+  camera: string;
+  quality: "excellent" | "fair" | "poor" | "unusable";
+  cameraFps: number;
+  expectedFps: number;
+  reconnects: number;
+  stalls: number;
+};
+
+/** enabled, non-replay cameras whose latest connection is not excellent */
+export function cameraConnectionCells(
+  config: FrigateConfig,
+  stats: FrigateStats | undefined,
+): CameraConnectionCell[] {
+  if (!stats) {
+    return [];
+  }
+
+  return activeCameras(config)
+    .map((camera): CameraConnectionCell | undefined => {
+      const cam = stats.cameras[camera.name];
+
+      if (
+        !cam ||
+        !cam.connection_quality ||
+        cam.connection_quality === "excellent"
+      ) {
+        return undefined;
+      }
+
+      return {
+        camera: camera.name,
+        quality: cam.connection_quality,
+        cameraFps: cam.camera_fps,
+        expectedFps: cam.expected_fps ?? 0,
+        reconnects: cam.reconnects_last_hour ?? 0,
+        stalls: cam.stalls_last_hour ?? 0,
+      };
+    })
+    .filter((cell): cell is CameraConnectionCell => cell !== undefined);
+}
+
+// --------------------------------------------------------------- helpers
+
+export function activeCameras(config: FrigateConfig): CameraConfig[] {
+  return Object.values(config.cameras)
+    .filter((camera) => camera.enabled && !isReplayCamera(camera.name))
+    .sort((a, b) => a.ui.order - b.ui.order);
+}
+
+export function isStartupWindow(stats: FrigateStats | undefined): boolean {
+  return !!stats && stats.service.uptime < STARTUP_WINDOW_S;
+}

web/src/utils/healthSort.ts

@@ -0,0 +1,14 @@
+import type { HealthProblem } from "@/types/health";
+
+const SEVERITY_ORDER = { error: 0, warning: 1, info: 2 } as const;
+const SOURCE_ORDER = { registry: 0, live: 1, config: 2, stream: 3 } as const;
+
+/** errors first, then warnings, then info; within a severity by source, then scope */
+export function sortHealthProblems(problems: HealthProblem[]): HealthProblem[] {
+  return [...problems].sort(
+    (a, b) =>
+      SEVERITY_ORDER[a.severity] - SEVERITY_ORDER[b.severity] ||
+      SOURCE_ORDER[a.source] - SOURCE_ORDER[b.source] ||
+      (a.scope ?? "").localeCompare(b.scope ?? ""),
+  );
+}

web/src/utils/streamHealth.ts

@@ -0,0 +1,154 @@
+import type { TFunction } from "i18next";
+import type { StreamCheckResults } from "@/hooks/use-health-checks";
+import type { StreamRole } from "@/types/cameraWizard";
+import { inferCameraBrand } from "@/types/cameraWizard";
+import type { CameraConfig, FrigateConfig } from "@/types/frigateConfig";
+import type { HealthProblem } from "@/types/health";
+import {
+  getStreamIssues,
+  lastErrorLine,
+  resolveRestreamSource,
+  type StreamIssue,
+} from "@/utils/streamIssues";
+
+// rules the add camera wizard shows that do not belong on the Health tab
+const WIZARD_ONLY_RULES = new Set(["restream", "reolink-rtsp", "reolink-http"]);
+
+/**
+ * Whether the record output keeps the camera's audio codec. The default
+ * preset transcodes to AAC, so a non-AAC source only matters when the args
+ * copy audio through.
+ */
+function recordCopiesAudio(camera: CameraConfig): boolean {
+  const args = camera.ffmpeg.output_args?.record;
+  const text = Array.isArray(args) ? args.join(" ") : (args ?? "");
+  return (
+    text === "preset-record-generic-audio-copy" ||
+    /(^|\s)-(c:a|acodec)\s+copy(\s|$)/.test(text)
+  );
+}
+
+export type StreamHealth = {
+  problems: HealthProblem[];
+  /** enabled cameras the results cover */
+  checked: number;
+  /** cameras with no stream problem */
+  clean: number;
+};
+
+/** Turn one stream check run into notice rows plus the counts a summary needs. */
+export function streamHealth(
+  config: FrigateConfig,
+  results: StreamCheckResults | undefined,
+  t: TFunction,
+): StreamHealth {
+  const problems: HealthProblem[] = [];
+  let checked = 0;
+  let clean = 0;
+
+  if (!results) {
+    return { problems, checked, clean };
+  }
+
+  Object.entries(results.byCamera).forEach(([name, check]) => {
+    const camera = config.cameras[name];
+    if (!camera || !camera.enabled) {
+      return;
+    }
+    checked += 1;
+    const link = `/settings?page=cameraFfmpeg&camera=${encodeURIComponent(name)}`;
+    const copiesAudio = recordCopiesAudio(camera);
+    let flagged = false;
+
+    if (check.error) {
+      problems.push({
+        id: `stream:${name}:error`,
+        source: "stream",
+        severity: "error",
+        scope: name,
+        scopeIsCamera: true,
+        text: t("health.notices.cameraProbeFailed", {
+          ns: "views/system",
+          error: check.error,
+        }),
+        link,
+      });
+      return;
+    }
+
+    camera.ffmpeg.inputs.forEach((input, index) => {
+      const result = check.streams[index];
+      const streamNumber = index + 1;
+
+      if (!result || !result.success) {
+        flagged = true;
+        problems.push({
+          id: `stream:${name}:${index}:probe`,
+          source: "stream",
+          severity: "error",
+          scope: name,
+          scopeIsCamera: true,
+          text: t("health.notices.streamProbeFailed", {
+            ns: "views/system",
+            index: streamNumber,
+            error: lastErrorLine(result?.error),
+          }),
+          link,
+        });
+        return;
+      }
+
+      const restream = resolveRestreamSource(
+        input.path,
+        config.go2rtc?.streams,
+      );
+      const url = restream?.url ?? input.path;
+      // a restreamed input's probe describes go2rtc's output, and a missing
+      // AAC track is fixed on the go2rtc stream, not on the camera
+      const streamLink = restream ? "/settings?page=systemGo2rtcStreams" : link;
+      const prefixKey = restream
+        ? "health.notices.streamPrefixRestream"
+        : "health.notices.streamPrefix";
+
+      getStreamIssues(
+        {
+          url,
+          roles: input.roles as StreamRole[],
+          brand: inferCameraBrand(url),
+          useFfmpeg: restream?.useFfmpeg,
+          restream: !!restream,
+          testResult: result,
+        },
+        t,
+      )
+        .filter(
+          (issue): issue is StreamIssue & { type: "warning" | "error" } =>
+            issue.type !== "good" &&
+            !WIZARD_ONLY_RULES.has(issue.rule) &&
+            (issue.rule !== "audio-codec-record" || copiesAudio),
+        )
+        .forEach((issue) => {
+          flagged = true;
+          problems.push({
+            id: `stream:${name}:${index}:${issue.rule}`,
+            source: "stream",
+            severity: issue.type,
+            scope: name,
+            scopeIsCamera: true,
+            text: t(prefixKey, {
+              ns: "views/system",
+              index: streamNumber,
+              message: issue.message,
+            }),
+            link: streamLink,
+          });
+        });
+    });
+
+    if (!flagged) {
+      clean += 1;
+    }
+  });
+
+  return { problems, checked, clean };
+}

web/src/utils/streamIssues.ts

@@ -0,0 +1,298 @@
+import type { TFunction } from "i18next";
+import { parseRestreamStreamName } from "@/components/config-form/theme/fields/streamSource";
+import type { CameraBrand, StreamRole, TestResult } from "@/types/cameraWizard";
+
+export type StreamIssue = {
+  type: "good" | "warning" | "error";
+  message: string;
+  /** stable key for the rule that fired, for filtering and tests */
+  rule: string;
+};
+
+export type StreamIssueInput = {
+  url: string;
+  roles: StreamRole[];
+  brand?: CameraBrand;
+  useFfmpeg?: boolean;
+  restream?: boolean;
+  testResult?: TestResult;
+};
+
+type ProbeStream = {
+  codec_type?: string;
+  codec_name?: string;
+  width?: number;
+  height?: number;
+  avg_frame_rate?: string;
+};
+
+export type FfprobeEntry = {
+  return_code?: number;
+  stdout?: { streams?: ProbeStream[] } | string;
+  /** the backend sends a list of non-empty lines on failure */
+  stderr?: string | string[];
+};
+
+function errorText(stderr: string | string[] | undefined): string {
+  const text = Array.isArray(stderr) ? stderr.join("\n") : stderr;
+  return text?.trim() || "Unknown error";
+}
+
+/** The human-readable end of an ffprobe error; the first lines are plumbing. */
+export function lastErrorLine(error: string | undefined): string {
+  const lines = (error ?? "")
+    .split("\n")
+    .map((line) => line.trim())
+    .filter(Boolean);
+  return lines[lines.length - 1] ?? "";
+}
+
+/** Parse one entry of the ffprobe API response the way the wizard does. */
+export function ffprobeToTestResult(
+  entry: FfprobeEntry | undefined,
+): TestResult {
+  if (!entry || entry.return_code !== 0 || typeof entry.stdout !== "object") {
+    return { success: false, error: errorText(entry?.stderr) };
+  }
+
+  const streams = entry.stdout?.streams ?? [];
+  const videoStream = streams.find(
+    (s) =>
+      s.codec_type === "video" ||
+      s.codec_name?.includes("h264") ||
+      s.codec_name?.includes("h265"),
+  );
+  const audioStream = streams.find(
+    (s) =>
+      s.codec_type === "audio" ||
+      s.codec_name?.includes("aac") ||
+      s.codec_name?.includes("mp3"),
+  );
+
+  const resolution = videoStream
+    ? `${videoStream.width}x${videoStream.height}`
+    : undefined;
+  const fps = videoStream?.avg_frame_rate
+    ? parseFloat(videoStream.avg_frame_rate.split("/")[0]) /
+      parseFloat(videoStream.avg_frame_rate.split("/")[1])
+    : undefined;
+
+  return {
+    success: true,
+    resolution,
+    videoCodec: videoStream?.codec_name,
+    audioCodec: audioStream?.codec_name,
+    fps: fps && !isNaN(fps) ? fps : undefined,
+  };
+}
+
+/** The wizard's Stream Validation rules, unchanged, over plain input. */
+export function getStreamIssues(
+  input: StreamIssueInput,
+  t: TFunction,
+): StreamIssue[] {
+  const result: StreamIssue[] = [];
+  const { roles, testResult } = input;
+
+  if (input.brand === "reolink") {
+    const streamUrl = input.url.toLowerCase();
+    if (streamUrl.startsWith("rtsp://")) {
+      result.push({
+        type: "warning",
+        rule: "reolink-rtsp",
+        message: t("cameraWizard.step4.issues.brands.reolink-rtsp", {
+          ns: "views/settings",
+        }),
+      });
+    }
+
+    if (streamUrl.startsWith("http://") && !input.useFfmpeg) {
+      result.push({
+        type: "warning",
+        rule: "reolink-http",
+        message: t("cameraWizard.step4.issues.brands.reolink-http", {
+          ns: "views/settings",
+        }),
+      });
+    }
+  }
+
+  if (testResult?.videoCodec) {
+    const videoCodec = testResult.videoCodec.toLowerCase();
+    if (["h264", "h265", "hevc"].includes(videoCodec)) {
+      result.push({
+        type: "good",
+        rule: "video-codec",
+        message: t("cameraWizard.step4.issues.videoCodecGood", {
+          ns: "views/settings",
+          codec: testResult.videoCodec,
+        }),
+      });
+    }
+  }
+
+  if (roles.includes("record")) {
+    if (testResult?.audioCodec) {
+      const audioCodec = testResult.audioCodec.toLowerCase();
+      if (audioCodec === "aac") {
+        result.push({
+          type: "good",
+          rule: "audio-codec",
+          message: t("cameraWizard.step4.issues.audioCodecGood", {
+            ns: "views/settings",
+            codec: testResult.audioCodec,
+          }),
+        });
+      } else {
+        result.push({
+          type: "error",
+          rule: "audio-codec-record",
+          message: t("cameraWizard.step4.issues.audioCodecRecordError", {
+            ns: "views/settings",
+          }),
+        });
+      }
+    } else {
+      result.push({
+        type: "warning",
+        rule: "no-audio",
+        message: t("cameraWizard.step4.issues.noAudioWarning", {
+          ns: "views/settings",
+        }),
+      });
+    }
+  }
+
+  if (roles.includes("audio") && !testResult?.audioCodec) {
+    result.push({
+      type: "error",
+      rule: "audio-required",
+      message: t("cameraWizard.step4.issues.audioCodecRequired", {
+        ns: "views/settings",
+      }),
+    });
+  }
+
+  if (roles.includes("record") && input.restream) {
+    result.push({
+      type: "warning",
+      rule: "restream",
+      message: t("cameraWizard.step4.issues.restreamingWarning", {
+        ns: "views/settings",
+      }),
+    });
+  }
+
+  if (roles.includes("detect") && testResult) {
+    const probedResolution = testResult.resolution;
+    let probedWidth = 0;
+    let probedHeight = 0;
+    if (probedResolution) {
+      const [w, h] = probedResolution.split("x").map(Number);
+      if (!isNaN(w) && !isNaN(h)) {
+        probedWidth = w;
+        probedHeight = h;
+      }
+    }
+
+    if (probedWidth <= 0 || probedHeight <= 0) {
+      result.push({
+        type: "error",
+        rule: "resolution-unknown",
+        message: t("cameraWizard.step4.issues.resolutionUnknown", {
+          ns: "views/settings",
+        }),
+      });
+    } else {
+      const minDimension = Math.min(probedWidth, probedHeight);
+      const maxDimension = Math.max(probedWidth, probedHeight);
+      if (minDimension > 1080) {
+        result.push({
+          type: "warning",
+          rule: "resolution-high",
+          message: t("cameraWizard.step4.issues.resolutionHigh", {
+            ns: "views/settings",
+            resolution: probedResolution,
+          }),
+        });
+      } else if (maxDimension < 640) {
+        result.push({
+          type: "error",
+          rule: "resolution-low",
+          message: t("cameraWizard.step4.issues.resolutionLow", {
+            ns: "views/settings",
+            resolution: probedResolution,
+          }),
+        });
+      }
+    }
+  }
+
+  if (
+    input.brand === "dahua" &&
+    roles.includes("detect") &&
+    input.url.includes("subtype=1")
+  ) {
+    result.push({
+      type: "warning",
+      rule: "dahua-substream",
+      message: t("cameraWizard.step4.issues.dahua.substreamWarning", {
+        ns: "views/settings",
+      }),
+    });
+  }
+
+  if (
+    input.brand === "hikvision" &&
+    roles.includes("detect") &&
+    input.url.includes("/102")
+  ) {
+    result.push({
+      type: "warning",
+      rule: "hikvision-substream",
+      message: t("cameraWizard.step4.issues.hikvision.substreamWarning", {
+        ns: "views/settings",
+      }),
+    });
+  }
+
+  return result;
+}
+
+/**
+ * For an input that points at a go2rtc restream, find the camera URL behind
+ * it. Returns undefined when the path is not a restream or the stream is not
+ * in the go2rtc config. The /config response redacts credentials in these
+ * sources, so the URL is only good for pattern matching.
+ */
+export function resolveRestreamSource(
+  path: string,
+  streams: Record<string, string | string[]> | undefined,
+): { url: string; useFfmpeg: boolean } | undefined {
+  const name = parseRestreamStreamName(path);
+
+  if (!name || !streams) {
+    return undefined;
+  }
+
+  const configured = streams[name];
+  const sources = Array.isArray(configured)
+    ? configured
+    : configured
+      ? [configured]
+      : [];
+  const source = sources.find((s) => !s.startsWith(`ffmpeg:${name}`));
+
+  if (!source) {
+    return undefined;
+  }
+
+  if (source.startsWith("ffmpeg:")) {
+    return {
+      url: source.slice("ffmpeg:".length).split("#")[0],
+      useFfmpeg: true,
+    };
+  }
+
+  return { url: source, useFfmpeg: false };
+}

web/src/views/system/EnrichmentMetrics.tsx

@@ -114,6 +114,11 @@ export default function EnrichmentMetrics({
       }
 
       Object.entries(stats.embeddings).forEach(([rawKey, stat]) => {
+        // embeddings.devices is a label map, not a metric series
+        if (typeof stat !== "number") {
+          return;
+        }
+
         const key = rawKey.replaceAll("_", " ");
         if (!(key in series)) {
           const classificationIndex = rawKey.indexOf("_classification_");

web/src/views/system/HealthMetrics.tsx

@@ -1,9 +1,11 @@
+import HardwarePane from "@/components/health/HardwarePane";
 import NoticesPane from "@/components/health/NoticesPane";
 
 export default function HealthMetrics() {
   return (
     <div className="scrollbar-container mt-4 flex size-full flex-col gap-4 overflow-y-auto">
       <NoticesPane />
+      <HardwarePane />
     </div>
   );
 }