Native ONVIF cell-motion ingest

Adds a per-camera ONVIF subscriber that lets cameras with native
hardware motion detection (e.g. OpenIPC firmware for HiSilicon,
Ingenic and SigmaStar SoCs; many ONVIF Profile-M devices) replace
Frigate's per-frame CPU motion analysis. Two standard ONVIF
transports are consumed in parallel:

- WS-BaseNotification PullPoint for the binary motion state
  (tns1:RuleEngine/CellMotionDetector/Motion IsMotion=true|false,
   with tns1:VideoSource/MotionAlarm State=true|false accepted as
   a fallback for cameras that only publish the legacy topic).
- RTSP analytics metadata stream (application/vnd.onvif.metadata)
  for the per-frame cell grid (tt:MotionInCells, base64 + PackBits
  bit-packed bitmap). Cell layout is discovered once at startup via
  AnalyticsService.GetAnalyticsModules and the camera's CellLayout
  transformation is used to map cells to detect-frame pixel
  rectangles via connected-components.

New config:
  onvif.events.{enabled, subscription_timeout, use_metadata_stream}
  motion.source: internal (default) | onvif

When motion.source: onvif, ImprovedMotionDetector is skipped and
motion_boxes come from the camera. Internal motion remains the
default; the new path is fully opt-in.

docs/docs/configuration/motion_detection.md

@@ -198,6 +198,46 @@ When the skip threshold is exceeded, **no motion is reported** for that frame, m
 
 :::
 
+## Using Camera-Side ONVIF Motion Detection
+
+For cameras that publish their own ONVIF cell-motion analytics (e.g. OpenIPC firmware for HiSilicon, Ingenic and SigmaStar SoCs, plus most ONVIF Profile-M devices from Hikvision, Reolink, Foscam, Amcrest, etc.), Frigate can use the camera's hardware motion engine instead of running per-frame analysis on the host CPU. This both removes CPU load from the Frigate machine and gives a more accurate motion signal than encoded-stream analysis can produce.
+
+Frigate consumes the two standard ONVIF transports:
+
+- **PullPoint** event subscription on `tns1:RuleEngine/CellMotionDetector/Motion` carries the binary on/off state (the legacy `tns1:VideoSource/MotionAlarm` payload is also accepted).
+- **RTSP analytics metadata stream** (the `application/vnd.onvif.metadata` track on the primary RTSP profile) carries the per-frame cell grid (`tt:MotionInCells`) which Frigate decodes (base64 + PackBits) and maps through the `CellLayout` transformation into Frigate's detect-frame pixel coordinates.
+
+```yaml
+cameras:
+  back_door:
+    onvif:
+      host: 10.0.0.10
+      port: 80
+      user: root
+      password: "secret"
+      events:
+        # Subscribe to camera-side motion events.
+        enabled: true
+        # Seconds before the PullPoint subscription expires (we renew at half this).
+        subscription_timeout: 60
+        # Open the RTSP analytics metadata stream for per-cell motion coordinates.
+        # Disable if your camera only publishes the binary event topic.
+        use_metadata_stream: true
+    motion:
+      # Use the camera's ONVIF events as Frigate's motion signal. The internal
+      # CPU motion detector is skipped.
+      source: onvif
+    detect:
+      enabled: true
+```
+
+When `motion.source: onvif`:
+
+- Frigate's internal `ImprovedMotionDetector` is **not** run on the camera's frames.
+- Object detection still runs every detection frame; motion boxes are used for region clustering exactly as with the internal detector.
+- If `use_metadata_stream: true` but the camera doesn't advertise the metadata track (or PackBits decoding fails for a frame), Frigate falls back to a full-frame motion box while the binary event signal is active.
+- The validator requires `onvif.events.enabled: true` whenever `motion.source: onvif`.
+
 ## Reviewing Detected Motion
 
 To review what the detector picked up — or to search past recordings for motion in a specific region — see [Reviewing Motion](review.md#reviewing-motion) on the Review page.

frigate/app.py

@@ -309,7 +309,9 @@ class FrigateApp:
         self.detection_proxy = DetectorProxy()
 
     def init_onvif(self) -> None:
-        self.onvif_controller = OnvifController(self.config, self.ptz_metrics)
+        self.onvif_controller = OnvifController(
+            self.config, self.ptz_metrics, self.camera_metrics
+        )
 
     def init_dispatcher(self) -> None:
         comms: list[Communicator] = []

frigate/camera/__init__.py

@@ -1,6 +1,6 @@
 import multiprocessing as mp
 import queue
-from multiprocessing.managers import SyncManager, ValueProxy
+from multiprocessing.managers import ListProxy, SyncManager, ValueProxy
 from multiprocessing.sharedctypes import Synchronized
 from multiprocessing.synchronize import Event
 
@@ -23,6 +23,14 @@ class CameraMetrics:
     reconnects_last_hour: ValueProxy[int]
     stalls_last_hour: ValueProxy[int]
 
+    # External motion published by OnvifController when motion.source=onvif.
+    # external_motion_active mirrors the PullPoint IsMotion state.
+    # external_motion_boxes carries the per-frame cell-derived rectangles in
+    # detect-frame pixel coordinates; empty list means no current spatial
+    # data (consumer should fall back to a full-frame box when active=1).
+    external_motion_active: ValueProxy[int]
+    external_motion_boxes: ListProxy
+
     def __init__(self, manager: SyncManager):
         self.camera_fps = manager.Value("d", 0)
         self.detection_fps = manager.Value("d", 0)
@@ -41,6 +49,9 @@ class CameraMetrics:
         self.reconnects_last_hour = manager.Value("i", 0)
         self.stalls_last_hour = manager.Value("i", 0)
 
+        self.external_motion_active = manager.Value("b", 0)
+        self.external_motion_boxes = manager.list()
+
 
 class PTZMetrics:
     autotracker_enabled: Synchronized

frigate/config/camera/motion.py

@@ -1,3 +1,4 @@
+from enum import Enum
 from typing import Any, Optional
 
 from pydantic import Field, field_serializer
@@ -5,7 +6,12 @@ from pydantic import Field, field_serializer
 from ..base import FrigateBaseModel
 from .mask import MotionMaskConfig
 
-__all__ = ["MotionConfig"]
+__all__ = ["MotionConfig", "MotionSourceEnum"]
+
+
+class MotionSourceEnum(str, Enum):
+    internal = "internal"
+    onvif = "onvif"
 
 
 class MotionConfig(FrigateBaseModel):
@@ -14,6 +20,11 @@ class MotionConfig(FrigateBaseModel):
         title="Enable motion detection",
         description="Enable or disable motion detection for all cameras; can be overridden per-camera.",
     )
+    source: MotionSourceEnum = Field(
+        default=MotionSourceEnum.internal,
+        title="Motion source",
+        description="Where motion state comes from: Frigate's internal frame analyser, or the camera's ONVIF cell-motion events (requires onvif.events.enabled).",
+    )
     threshold: int = Field(
         default=30,
         title="Motion threshold",

frigate/config/camera/onvif.py

@@ -7,7 +7,12 @@ from ..base import FrigateBaseModel
 from ..env import EnvString
 from .objects import DEFAULT_TRACKED_OBJECTS
 
-__all__ = ["OnvifConfig", "PtzAutotrackConfig", "ZoomingModeEnum"]
+__all__ = [
+    "OnvifConfig",
+    "OnvifEventsConfig",
+    "PtzAutotrackConfig",
+    "ZoomingModeEnum",
+]
 
 
 class ZoomingModeEnum(str, Enum):
@@ -91,6 +96,26 @@ class PtzAutotrackConfig(FrigateBaseModel):
         return weights
 
 
+class OnvifEventsConfig(FrigateBaseModel):
+    enabled: bool = Field(
+        default=False,
+        title="Enable ONVIF events",
+        description="Subscribe to the camera's ONVIF cell-motion notifications and use them as Frigate's motion signal.",
+    )
+    subscription_timeout: int = Field(
+        default=60,
+        ge=10,
+        le=600,
+        title="Subscription timeout",
+        description="Seconds before the PullPoint subscription expires and is renewed.",
+    )
+    use_metadata_stream: bool = Field(
+        default=True,
+        title="Use metadata stream",
+        description="Open the ONVIF analytics RTSP metadata stream to receive per-cell motion coordinates. Falls back to a full-frame box when disabled or when the camera does not advertise the track.",
+    )
+
+
 class OnvifConfig(FrigateBaseModel):
     host: EnvString = Field(
         default="",
@@ -127,6 +152,11 @@ class OnvifConfig(FrigateBaseModel):
         title="Autotracking",
         description="Automatically track moving objects and keep them centered in the frame using PTZ camera movements.",
     )
+    events: OnvifEventsConfig = Field(
+        default_factory=OnvifEventsConfig,
+        title="ONVIF events",
+        description="Consume camera-side ONVIF motion notifications instead of Frigate's CPU motion detector.",
+    )
     ignore_time_mismatch: bool = Field(
         default=False,
         title="Ignore time mismatch",

frigate/config/config.py

@@ -47,7 +47,7 @@ from .camera.detect import DetectConfig
 from .camera.ffmpeg import FfmpegConfig
 from .camera.genai import GenAIConfig, GenAIRoleEnum
 from .camera.mask import ObjectMaskConfig
-from .camera.motion import MotionConfig
+from .camera.motion import MotionConfig, MotionSourceEnum
 from .camera.notification import NotificationConfig
 from .camera.objects import FilterConfig, ObjectConfig
 from .camera.record import RecordConfig
@@ -380,10 +380,19 @@ def verify_autotrack_zones(camera_config: CameraConfig) -> ValueError | None:
 
 def verify_motion_and_detect(camera_config: CameraConfig) -> ValueError | None:
     """Verify that motion detection is not disabled and object detection is enabled."""
-    if camera_config.detect.enabled and not camera_config.motion.enabled:
+    motion_via_onvif = camera_config.motion.source == MotionSourceEnum.onvif
+    if (
+        camera_config.detect.enabled
+        and not camera_config.motion.enabled
+        and not motion_via_onvif
+    ):
         raise ValueError(
             f"Camera {camera_config.name} has motion detection disabled and object detection enabled but object detection requires motion detection."
         )
+    if motion_via_onvif and not camera_config.onvif.events.enabled:
+        raise ValueError(
+            f"Camera {camera_config.name} has motion.source=onvif but onvif.events.enabled is false; enable ONVIF events to use them as the motion source."
+        )
 
 
 def verify_objects_track(

frigate/ptz/onvif.py

@@ -13,17 +13,39 @@ import numpy
 from onvif import ONVIFCamera, ONVIFError, ONVIFService
 from zeep.exceptions import Fault, TransportError
 
-from frigate.camera import PTZMetrics
+from frigate.camera import CameraMetrics, PTZMetrics
 from frigate.config import FrigateConfig, ZoomingModeEnum
 from frigate.config.camera.updater import (
     CameraConfigUpdateEnum,
     CameraConfigUpdateSubscriber,
 )
+from frigate.ptz.onvif_events import run_pullpoint_subscription
+from frigate.ptz.onvif_metadata import run_metadata_stream
 from frigate.util.builtin import find_by_key
 
 logger = logging.getLogger(__name__)
 
 
+def _inject_rtsp_credentials(url: str, user: str | None, password: str | None) -> str:
+    """Insert user:password into an rtsp:// URL if not already present.
+
+    The ONVIF GetStreamUri response typically returns an rtsp URL without
+    credentials, but downstream consumers (ffmpeg, RTSP libs) need them in
+    the URL because the camera challenges Basic/Digest on DESCRIBE.
+    """
+    if not user or not password:
+        return url
+    if "@" in url.split("://", 1)[-1].split("/", 1)[0]:
+        # URL already has user:pass — don't touch it.
+        return url
+    if "://" not in url:
+        return url
+    scheme, rest = url.split("://", 1)
+    from urllib.parse import quote
+
+    return f"{scheme}://{quote(user, safe='')}:{quote(password, safe='')}@{rest}"
+
+
 class OnvifCommandEnum(str, Enum):
     """Holds all possible move commands"""
 
@@ -45,7 +67,10 @@ class OnvifController:
     ptz_metrics: dict[str, PTZMetrics]
 
     def __init__(
-        self, config: FrigateConfig, ptz_metrics: dict[str, PTZMetrics]
+        self,
+        config: FrigateConfig,
+        ptz_metrics: dict[str, PTZMetrics],
+        camera_metrics: dict[str, CameraMetrics] | None = None,
     ) -> None:
         self.cams: dict[str, dict] = {}
         self.failed_cams: dict[str, dict] = {}
@@ -53,6 +78,7 @@ class OnvifController:
         self.reset_timeout = 900  # 15 minutes
         self.config = config
         self.ptz_metrics = ptz_metrics
+        self.camera_metrics = camera_metrics or {}
 
         self.status_locks: dict[str, asyncio.Lock] = {}
 
@@ -107,7 +133,28 @@ class OnvifController:
     async def _close_camera(self, cam_name: str) -> None:
         """Close the ONVIF client session for a camera."""
         cam_state = self.cams.get(cam_name)
-        if cam_state and "onvif" in cam_state:
+        if not cam_state:
+            return
+        # Stop any long-running event-consumption tasks first so they release
+        # any resources held against the ONVIFCamera session before we close it.
+        for key in ("pullpoint", "metadata"):
+            handle = cam_state.get(key)
+            if not handle:
+                continue
+            task, stop_event = handle
+            try:
+                stop_event.set()
+            except Exception:
+                pass
+            task.cancel()
+            try:
+                await asyncio.wait_for(task, timeout=5.0)
+            except (asyncio.CancelledError, asyncio.TimeoutError):
+                pass
+            except Exception:
+                logger.debug(f"Error awaiting {key} task for {cam_name}")
+            cam_state.pop(key, None)
+        if "onvif" in cam_state:
             try:
                 await cam_state["onvif"].close()
             except Exception:
@@ -187,6 +234,172 @@ class OnvifController:
             logger.error(f"Onvif connection failed for {camera_name}: {e}")
             return False
 
+        # Events init runs first, independent of PTZ capability. Many ONVIF
+        # cameras don't expose PTZ and would otherwise be skipped at the
+        # get_definition("ptz") check below.
+        await self._init_onvif_events(camera_name)
+
+        return await self._init_onvif_ptz(camera_name)
+
+    async def _init_onvif_events(self, camera_name: str) -> None:
+        """Subscribe to PullPoint motion events and optionally open the
+        analytics metadata stream. Failure here is non-fatal — PTZ init still
+        proceeds and the camera continues to work without external motion."""
+        cam_cfg = self.config.cameras[camera_name]
+        if not cam_cfg.onvif.events.enabled:
+            return
+
+        cm = self.camera_metrics.get(camera_name)
+        if cm is None:
+            logger.warning(
+                f"ONVIF events enabled for {camera_name} but no CameraMetrics "
+                "available; external motion will not be published"
+            )
+            return
+
+        onvif: ONVIFCamera = self.cams[camera_name]["onvif"]
+
+        cell_layout = await self._discover_cell_layout(onvif, camera_name)
+        self.cams[camera_name]["cell_layout"] = cell_layout
+
+        def on_state(active: bool) -> None:
+            cm.external_motion_active.value = 1 if active else 0
+            if not active:
+                # Drop spatial data when motion ends — keep the consumer's
+                # snapshot consistent with the binary state.
+                try:
+                    cm.external_motion_boxes[:] = []
+                except Exception:
+                    pass
+
+        pp_stop = asyncio.Event()
+        pp_task = asyncio.create_task(
+            run_pullpoint_subscription(
+                onvif,
+                camera_name,
+                cam_cfg.onvif.events.subscription_timeout,
+                on_state,
+                pp_stop,
+            )
+        )
+        self.cams[camera_name]["pullpoint"] = (pp_task, pp_stop)
+        logger.info(f"ONVIF events: PullPoint subscriber started for {camera_name}")
+
+        if not cam_cfg.onvif.events.use_metadata_stream or cell_layout is None:
+            return
+
+        rtsp_url = await self._discover_primary_rtsp_url(onvif, camera_name)
+        if not rtsp_url:
+            logger.warning(
+                f"ONVIF events for {camera_name}: no primary RTSP URL "
+                "available; skipping metadata stream"
+            )
+            return
+        rtsp_url = _inject_rtsp_credentials(
+            rtsp_url, cam_cfg.onvif.user, cam_cfg.onvif.password
+        )
+
+        detect_size = (cam_cfg.detect.width, cam_cfg.detect.height)
+
+        def on_boxes(boxes: list[tuple[int, int, int, int]]) -> None:
+            try:
+                cm.external_motion_boxes[:] = boxes
+            except Exception:
+                logger.debug(f"Failed to publish boxes for {camera_name}")
+
+        md_stop = asyncio.Event()
+        md_task = asyncio.create_task(
+            run_metadata_stream(
+                rtsp_url,
+                camera_name,
+                cell_layout,
+                detect_size,
+                on_boxes,
+                md_stop,
+            )
+        )
+        self.cams[camera_name]["metadata"] = (md_task, md_stop)
+        logger.info(f"ONVIF events: metadata stream consumer started for {camera_name}")
+
+    async def _discover_cell_layout(
+        self, onvif: ONVIFCamera, camera_name: str
+    ) -> tuple[int, int, tuple[float, float], tuple[float, float]] | None:
+        """Query AnalyticsService.GetAnalyticsModules and extract the
+        CellMotionEngine's CellLayout (Columns, Rows, Translate, Scale).
+        Returns None on failure — caller should fall back to a full-frame box."""
+        try:
+            analytics = await onvif.create_analytics_service()
+            modules = await analytics.GetAnalyticsModules(
+                {"ConfigurationToken": "VA_CFG_000"}
+            )
+        except Exception as e:
+            logger.debug(f"ONVIF analytics service unavailable for {camera_name}: {e}")
+            return None
+
+        try:
+            for mod in modules or []:
+                mod_type = getattr(mod, "Type", None) or getattr(mod, "_attr_1", None)
+                if mod_type and "CellMotionEngine" not in str(mod_type):
+                    continue
+                element_items = getattr(mod.Parameters, "ElementItem", None) or []
+                for item in element_items:
+                    if item.Name != "Layout":
+                        continue
+                    raw = item._value_1
+                    if raw is None or not hasattr(raw, "attrib"):
+                        continue
+                    cols = int(raw.attrib.get("Columns", 0))
+                    rows = int(raw.attrib.get("Rows", 0))
+                    if cols <= 0 or rows <= 0:
+                        continue
+                    tx = ty = 0.0
+                    sx = sy = 0.0
+                    for child in raw.iter():
+                        if child.tag.endswith("}Translate"):
+                            tx = float(child.attrib.get("x", 0))
+                            ty = float(child.attrib.get("y", 0))
+                        elif child.tag.endswith("}Scale"):
+                            sx = float(child.attrib.get("x", 0))
+                            sy = float(child.attrib.get("y", 0))
+                    logger.info(
+                        f"ONVIF cell layout for {camera_name}: {cols}x{rows} "
+                        f"translate=({tx},{ty}) scale=({sx},{sy})"
+                    )
+                    return (cols, rows, (tx, ty), (sx, sy))
+        except Exception as e:
+            logger.debug(
+                f"Failed parsing CellMotionEngine layout for {camera_name}: {e}"
+            )
+        return None
+
+    async def _discover_primary_rtsp_url(
+        self, onvif: ONVIFCamera, camera_name: str
+    ) -> str | None:
+        """Return the RTSP URL for the primary profile. The ONVIF analytics
+        metadata track is typically bound to the primary media profile only
+        (sub-streams may omit it)."""
+        try:
+            media = await onvif.create_media_service()
+            profiles = await media.GetProfiles()
+            if not profiles:
+                return None
+            uri = await media.GetStreamUri(
+                {
+                    "StreamSetup": {
+                        "Stream": "RTP-Unicast",
+                        "Transport": {"Protocol": "RTSP"},
+                    },
+                    "ProfileToken": profiles[0].token,
+                }
+            )
+            return uri.Uri
+        except Exception as e:
+            logger.debug(f"GetStreamUri failed for {camera_name}: {e}")
+            return None
+
+    async def _init_onvif_ptz(self, camera_name: str) -> bool:
+        onvif: ONVIFCamera = self.cams[camera_name]["onvif"]
+
         # create init services
         media: ONVIFService = await onvif.create_media_service()
         logger.debug(f"Onvif media xaddr for {camera_name}: {media.xaddr}")

frigate/ptz/onvif_events.py

@@ -0,0 +1,138 @@
+"""ONVIF PullPoint subscriber for camera-side motion events.
+
+Long-running per-camera coroutine that subscribes to the camera's PullPoint
+service via `onvif-zeep-async`'s `PullPointManager` (which owns subscription
+creation, renewal, and lifecycle), pulls notification messages, parses
+IsMotion/State on each round-trip, and invokes a callback on transitions.
+
+Lives on the OnvifController's dedicated asyncio loop (see
+`frigate/ptz/onvif.py` for the loop setup).
+"""
+
+from __future__ import annotations
+
+import asyncio
+import datetime as dt
+import logging
+from typing import TYPE_CHECKING, Awaitable, Callable
+
+if TYPE_CHECKING:
+    from onvif import ONVIFCamera
+
+try:
+    from zeep.exceptions import Fault
+except ImportError:  # tests can run without zeep installed
+
+    class Fault(Exception):  # type: ignore[no-redef]
+        pass
+
+
+logger = logging.getLogger(__name__)
+
+# Names of the boolean state SimpleItem we accept inside the message Data
+# block. Spec calls it IsMotion; the legacy MotionAlarm topic uses State.
+_STATE_NAMES = ("IsMotion", "State")
+
+# Bounds on backoff between subscription failures.
+_BACKOFF_INITIAL_S = 1.0
+_BACKOFF_MAX_S = 60.0
+
+
+def _parse_motion_state(msg) -> bool | None:
+    """Walk a NotificationMessage and return the IsMotion/State value, or
+    None if not present. The Message body is often an `lxml.etree._Element`
+    that python-onvif-zeep returns for ##any wildcards — walk via .iter()."""
+    body = getattr(msg, "Message", None)
+    if body is None:
+        return None
+    raw = getattr(body, "_value_1", body)
+    if not hasattr(raw, "iter"):
+        return None
+    for el in raw.iter():
+        if not el.tag.endswith("}SimpleItem"):
+            continue
+        name = el.attrib.get("Name", "")
+        if name not in _STATE_NAMES:
+            continue
+        val = el.attrib.get("Value", "").strip().lower()
+        if val in ("true", "1"):
+            return True
+        if val in ("false", "0"):
+            return False
+    return None
+
+
+async def run_pullpoint_subscription(
+    onvif_cam: "ONVIFCamera",
+    cam_name: str,
+    timeout_seconds: int,
+    on_state: Callable[[bool], None] | Callable[[bool], Awaitable[None]],
+    stop_event: asyncio.Event,
+) -> None:
+    """Loop until stop_event: create a PullPointManager, pull messages,
+    dispatch on_state on transitions, reconnect on Fault with exponential
+    backoff."""
+    backoff = _BACKOFF_INITIAL_S
+    last_state: bool | None = None
+
+    while not stop_event.is_set():
+        manager = None
+        sub_lost = asyncio.Event()
+
+        def _subscription_lost() -> None:
+            sub_lost.set()
+
+        try:
+            manager = await onvif_cam.create_pullpoint_manager(
+                dt.timedelta(seconds=timeout_seconds),
+                _subscription_lost,
+            )
+            service = manager.get_service()
+            logger.info(f"ONVIF PullPoint subscribed for {cam_name}")
+
+            while not stop_event.is_set() and not sub_lost.is_set():
+                # Long-poll up to 10s. The subscription manager keeps the
+                # subscription itself alive in the background — we just pull.
+                msgs = await service.PullMessages(
+                    {"Timeout": "PT10S", "MessageLimit": 32}
+                )
+                for m in msgs.NotificationMessage or []:
+                    state = _parse_motion_state(m)
+                    if state is None or state == last_state:
+                        continue
+                    last_state = state
+                    try:
+                        result = on_state(state)
+                        if asyncio.iscoroutine(result):
+                            await result
+                    except Exception:
+                        logger.exception(f"on_state callback error for {cam_name}")
+
+            if sub_lost.is_set():
+                raise Fault("PullPoint subscription lost")
+
+            # Clean exit (stop_event set) — leave the loop.
+            backoff = _BACKOFF_INITIAL_S
+            break
+        except asyncio.CancelledError:
+            raise
+        except Exception as e:
+            logger.warning(
+                f"ONVIF PullPoint subscription error for {cam_name}: {e!r}; "
+                f"reconnecting in {backoff:.1f}s"
+            )
+        finally:
+            if manager is not None:
+                try:
+                    await manager.shutdown()
+                except Exception:
+                    pass
+
+        if stop_event.is_set():
+            return
+        try:
+            await asyncio.wait_for(stop_event.wait(), timeout=backoff)
+            return
+        except asyncio.TimeoutError:
+            pass
+        backoff = min(backoff * 2, _BACKOFF_MAX_S)

frigate/ptz/onvif_metadata.py

@@ -0,0 +1,357 @@
+"""ONVIF analytics metadata stream consumer.
+
+Per-camera asyncio task that opens an RTSP connection to the camera's
+primary profile, extracts the `application/vnd.onvif.metadata` data track
+via an ffmpeg subprocess, and converts the per-frame `<tt:MotionInCells>`
+bitmap into a list of motion rectangles in Frigate detect-frame pixels.
+
+Why ffmpeg rather than an in-process RTSP client: Frigate already ships
+ffmpeg and uses it heavily for video/recording; there is no async RTSP
+client in the existing dependency set that handles the `vnd.onvif.metadata`
+payload cleanly. The data track is low-bandwidth (~1 packet/sec at idle,
+≤300 bytes XML each), so the subprocess cost is negligible.
+
+Wire format (ONVIF Analytics Service Spec, Annex B "Cell Motion Detection"):
+  - Each RTP packet payload is one complete <tt:MetadataStream> XML doc.
+  - Cells attribute = base64(PackBits(bit-packed row-major bitmap)).
+  - Bits: cols*rows total, MSB-first within bytes, zero-padded.
+
+Cell → detect-frame mapping uses the CellLayout transformation discovered
+at OnvifController init: Translate(tx, ty) + Scale(sx, sy) maps cell index
+(c, r) to normalized ONVIF coords [-1, +1]. We convert that to detect-frame
+pixels.
+"""
+
+import asyncio
+import base64
+import logging
+from typing import Awaitable, Callable
+from xml.etree import ElementTree as ET
+
+import numpy as np
+
+logger = logging.getLogger(__name__)
+
+_TT_NS = "http://www.onvif.org/ver10/schema"
+_MIC_TAG = f"{{{_TT_NS}}}MotionInCells"
+
+# ffmpeg's -map 0:d:0 selects the first data track from the input. -c copy
+# bypasses any transcode. -f data writes raw packet payloads to stdout.
+# -flush_packets 1 disables muxer-side buffering so each metadata frame
+# reaches us within ~1 packet of being received from the camera.
+_FFMPEG_ARGS_TEMPLATE = (
+    "-nostdin",
+    "-loglevel",
+    "error",
+    "-rtsp_transport",
+    "tcp",
+    "-i",
+    "{url}",
+    "-map",
+    "0:d:0?",
+    "-c",
+    "copy",
+    "-flush_packets",
+    "1",
+    "-f",
+    "data",
+    "pipe:1",
+)
+
+# Each metadata document ends with this closing tag — we split incoming
+# stdout on it to recover packet boundaries (no other framing on a `-f data`
+# stream).
+_DOC_TERMINATOR = b"</tt:MetadataStream>"
+
+_BACKOFF_INITIAL_S = 1.0
+_BACKOFF_MAX_S = 60.0
+
+# Stop reading at this many bytes per single document — guards against a
+# misbehaving stream filling memory if the terminator never arrives.
+_MAX_DOC_BYTES = 64 * 1024
+
+
+def _packbits_decode(packed: bytes) -> bytes:
+    """ISO 12639 / TIFF 6.0 PackBits decoder."""
+    out = bytearray()
+    i = 0
+    n = len(packed)
+    while i < n:
+        h = packed[i]
+        i += 1
+        if h <= 0x7F:
+            count = h + 1
+            out += packed[i : i + count]
+            i += count
+        elif h == 0x80:
+            continue  # no-op header
+        else:
+            count = 257 - h
+            if i >= n:
+                break
+            out += bytes([packed[i]]) * count
+            i += 1
+    return bytes(out)
+
+
+def _decode_cells(cells_b64: str, cols: int, rows: int) -> np.ndarray | None:
+    """Decode the Cells attribute into a 2-D uint8 array shape (rows, cols).
+
+    Returns None if the decoded length doesn't match what the layout
+    expects — caller should treat that as "no spatial data this frame"
+    and fall back to whatever default (e.g. full-frame box)."""
+    if not cells_b64:
+        return None
+    try:
+        packed = base64.b64decode(cells_b64, validate=False)
+    except Exception:
+        return None
+    raw = _packbits_decode(packed)
+    needed_bytes = (cols * rows + 7) // 8
+    if len(raw) < needed_bytes:
+        return None
+    bits = np.unpackbits(np.frombuffer(raw[:needed_bytes], dtype=np.uint8))
+    bits = bits[: cols * rows]
+    return bits.reshape((rows, cols)).astype(np.uint8)
+
+
+def _connected_component_bboxes(
+    cells: np.ndarray,
+) -> list[tuple[int, int, int, int]]:
+    """4-connectivity flood fill over a small 0/1 grid; returns list of
+    (c_left, c_top, c_right, c_bottom) inclusive cell-index bounding boxes
+    for each connected region.
+
+    cv2.connectedComponentsWithStats would be faster, but the cell grid is
+    tiny (typically 22x18 = 396 cells) and avoiding the cv2 import keeps
+    this module testable without OpenCV installed.
+    """
+    rows, cols = cells.shape
+    visited = np.zeros_like(cells, dtype=bool)
+    out: list[tuple[int, int, int, int]] = []
+    for r0 in range(rows):
+        for c0 in range(cols):
+            if not cells[r0, c0] or visited[r0, c0]:
+                continue
+            stack = [(r0, c0)]
+            cmin = cmax = c0
+            rmin = rmax = r0
+            while stack:
+                r, c = stack.pop()
+                if r < 0 or r >= rows or c < 0 or c >= cols:
+                    continue
+                if visited[r, c] or not cells[r, c]:
+                    continue
+                visited[r, c] = True
+                if r < rmin:
+                    rmin = r
+                if r > rmax:
+                    rmax = r
+                if c < cmin:
+                    cmin = c
+                if c > cmax:
+                    cmax = c
+                stack.append((r + 1, c))
+                stack.append((r - 1, c))
+                stack.append((r, c + 1))
+                stack.append((r, c - 1))
+            out.append((cmin, rmin, cmax, rmax))
+    return out
+
+
+def _cells_to_boxes(
+    cells: np.ndarray,
+    cell_layout: tuple[int, int, tuple[float, float], tuple[float, float]],
+    detect_size: tuple[int, int],
+) -> list[tuple[int, int, int, int]]:
+    """Connected-components on the cell grid → list of detect-frame boxes.
+
+    cell_layout = (cols, rows, (tx, ty), (sx, sy)) — the Translate + Scale
+    from CellLayout.Transformation. detect_size = (width, height) in
+    detect-frame pixels.
+    """
+    if cells is None or cells.size == 0 or not cells.any():
+        return []
+
+    cols, rows, (tx, ty), (sx, sy) = cell_layout
+    det_w, det_h = detect_size
+    if det_w <= 0 or det_h <= 0:
+        return []
+
+    boxes: list[tuple[int, int, int, int]] = []
+
+    # Map cell index → detect-frame pixel via the CellLayout transformation:
+    # cell (c, r) covers normalized [tx + c*sx, tx + (c+1)*sx] horizontally
+    # and similarly vertically. Convert normalized [-1, +1] → pixel.
+    def cell_to_px(
+        c: int, r: int, *, right_edge: bool, bottom_edge: bool
+    ) -> tuple[int, int]:
+        cx_idx = c + 1 if right_edge else c
+        cy_idx = r + 1 if bottom_edge else r
+        nx = tx + cx_idx * sx
+        ny = ty + cy_idx * sy
+        px = int(round((nx + 1.0) * 0.5 * det_w))
+        py = int(round((ny + 1.0) * 0.5 * det_h))
+        return px, py
+
+    for c_left, c_top, c_right, c_bottom in _connected_component_bboxes(cells):
+        x1, y1 = cell_to_px(c_left, c_top, right_edge=False, bottom_edge=False)
+        x2, y2 = cell_to_px(c_right, c_bottom, right_edge=True, bottom_edge=True)
+        x1 = max(0, min(det_w - 1, x1))
+        y1 = max(0, min(det_h - 1, y1))
+        x2 = max(0, min(det_w - 1, x2))
+        y2 = max(0, min(det_h - 1, y2))
+        if x2 <= x1 or y2 <= y1:
+            continue
+        boxes.append((x1, y1, x2, y2))
+
+    return boxes
+
+
+def _extract_cells_from_doc(doc_bytes: bytes) -> tuple[str | None, int, int]:
+    """Parse a <tt:MetadataStream> XML doc, return (cells_b64, cols, rows).
+
+    Returns (None, 0, 0) if no MotionInCells element is found."""
+    try:
+        root = ET.fromstring(doc_bytes)
+    except ET.ParseError:
+        return None, 0, 0
+    for el in root.iter(_MIC_TAG):
+        cells_b64 = el.attrib.get("Cells")
+        try:
+            cols = int(el.attrib.get("Columns", "0"))
+            rows = int(el.attrib.get("Rows", "0"))
+        except ValueError:
+            return None, 0, 0
+        return cells_b64, cols, rows
+    return None, 0, 0
+
+
+async def run_metadata_stream(
+    rtsp_url: str,
+    cam_name: str,
+    cell_layout: tuple[int, int, tuple[float, float], tuple[float, float]],
+    detect_size: tuple[int, int],
+    on_boxes: Callable[[list[tuple[int, int, int, int]]], None]
+    | Callable[[list[tuple[int, int, int, int]]], Awaitable[None]],
+    stop_event: asyncio.Event,
+) -> None:
+    """Loop until stop_event: spawn ffmpeg → read XML docs → decode → on_boxes."""
+    backoff = _BACKOFF_INITIAL_S
+
+    while not stop_event.is_set():
+        proc = None
+        try:
+            args = [a.format(url=rtsp_url) for a in _FFMPEG_ARGS_TEMPLATE]
+            proc = await asyncio.create_subprocess_exec(
+                "ffmpeg",
+                *args,
+                stdin=asyncio.subprocess.DEVNULL,
+                stdout=asyncio.subprocess.PIPE,
+                stderr=asyncio.subprocess.PIPE,
+            )
+            logger.info(
+                f"ONVIF metadata stream: ffmpeg started for {cam_name} pid={proc.pid}"
+            )
+            await _consume_ffmpeg(
+                proc, cam_name, cell_layout, detect_size, on_boxes, stop_event
+            )
+            backoff = _BACKOFF_INITIAL_S
+        except asyncio.CancelledError:
+            raise
+        except Exception as e:
+            logger.warning(
+                f"ONVIF metadata stream error for {cam_name}: {e!r}; "
+                f"reconnecting in {backoff:.1f}s"
+            )
+        finally:
+            if proc is not None and proc.returncode is None:
+                proc.terminate()
+                try:
+                    await asyncio.wait_for(proc.wait(), timeout=2.0)
+                except asyncio.TimeoutError:
+                    proc.kill()
+                    await proc.wait()
+
+        if stop_event.is_set():
+            return
+        try:
+            await asyncio.wait_for(stop_event.wait(), timeout=backoff)
+            return
+        except asyncio.TimeoutError:
+            pass
+        backoff = min(backoff * 2, _BACKOFF_MAX_S)
+
+
+async def _consume_ffmpeg(
+    proc: asyncio.subprocess.Process,
+    cam_name: str,
+    cell_layout: tuple[int, int, tuple[float, float], tuple[float, float]],
+    detect_size: tuple[int, int],
+    on_boxes,
+    stop_event: asyncio.Event,
+) -> None:
+    """Read XML docs from ffmpeg stdout and dispatch boxes."""
+    layout_cols, layout_rows, _, _ = cell_layout
+    assert proc.stdout is not None
+    buf = bytearray()
+
+    while not stop_event.is_set():
+        chunk = await proc.stdout.read(4096)
+        if not chunk:
+            # ffmpeg exited or stream ended.
+            stderr_tail = b""
+            if proc.stderr is not None:
+                try:
+                    stderr_tail = await asyncio.wait_for(
+                        proc.stderr.read(4096), timeout=0.5
+                    )
+                except asyncio.TimeoutError:
+                    pass
+            raise RuntimeError(
+                f"ffmpeg exited for {cam_name} rc={proc.returncode} "
+                f"stderr={stderr_tail.decode('utf-8', 'replace').strip()[:200]}"
+            )
+
+        buf.extend(chunk)
+        if len(buf) > _MAX_DOC_BYTES * 4:
+            # Drop the head to avoid unbounded growth on a wedged stream.
+            buf = buf[-_MAX_DOC_BYTES:]
+
+        while True:
+            end = buf.find(_DOC_TERMINATOR)
+            if end < 0:
+                break
+            end += len(_DOC_TERMINATOR)
+            doc = bytes(buf[:end])
+            del buf[:end]
+
+            cells_b64, cols, rows = _extract_cells_from_doc(doc)
+            if cells_b64 is None:
+                continue
+            # Trust the layout we discovered at init; warn (don't fail) if the
+            # camera reports a different grid mid-stream.
+            if cols != layout_cols or rows != layout_rows:
+                logger.debug(
+                    f"{cam_name}: MotionInCells grid {cols}x{rows} differs "
+                    f"from discovered layout {layout_cols}x{layout_rows}"
+                )
+                use_layout = (
+                    cols,
+                    rows,
+                    cell_layout[2],
+                    (2.0 / cols if cols else 0, 2.0 / rows if rows else 0),
+                )
+            else:
+                use_layout = cell_layout
+
+            cells = _decode_cells(cells_b64, cols, rows)
+            if cells is None:
+                continue
+            boxes = _cells_to_boxes(cells, use_layout, detect_size)
+            try:
+                result = on_boxes(boxes)
+                if asyncio.iscoroutine(result):
+                    await result
+            except Exception:
+                logger.exception(f"on_boxes callback error for {cam_name}")

frigate/test/test_motion_source_validator.py

@@ -0,0 +1,64 @@
+"""Validator tests for `motion.source=onvif` interactions with
+`onvif.events.enabled` and `motion.enabled`. Exercises `verify_motion_and_detect`
+directly so we don't need the full FrigateConfig path (which mounts /config)."""
+
+import unittest
+
+from frigate.config.config import verify_motion_and_detect
+
+
+class _Dummy:
+    """Light shim for the nested config attributes the validator reads."""
+
+    def __init__(self, **kw):
+        for k, v in kw.items():
+            setattr(self, k, v)
+
+
+def _camera(*, name, detect, motion, onvif):
+    return _Dummy(name=name, detect=detect, motion=motion, onvif=onvif)
+
+
+class TestVerifyMotionAndDetect(unittest.TestCase):
+    def test_internal_motion_with_detect_passes(self):
+        cam = _camera(
+            name="c",
+            detect=_Dummy(enabled=True),
+            motion=_Dummy(enabled=True, source="internal"),
+            onvif=_Dummy(events=_Dummy(enabled=False)),
+        )
+        # No exception.
+        self.assertIsNone(verify_motion_and_detect(cam))
+
+    def test_detect_with_motion_disabled_rejected(self):
+        cam = _camera(
+            name="c",
+            detect=_Dummy(enabled=True),
+            motion=_Dummy(enabled=False, source="internal"),
+            onvif=_Dummy(events=_Dummy(enabled=False)),
+        )
+        with self.assertRaisesRegex(ValueError, "object detection requires motion"):
+            verify_motion_and_detect(cam)
+
+    def test_source_onvif_requires_events_enabled(self):
+        cam = _camera(
+            name="c",
+            detect=_Dummy(enabled=True),
+            motion=_Dummy(enabled=False, source="onvif"),
+            onvif=_Dummy(events=_Dummy(enabled=False)),
+        )
+        with self.assertRaisesRegex(ValueError, "onvif.events.enabled is false"):
+            verify_motion_and_detect(cam)
+
+    def test_source_onvif_with_events_passes_even_with_motion_disabled(self):
+        cam = _camera(
+            name="c",
+            detect=_Dummy(enabled=True),
+            motion=_Dummy(enabled=False, source="onvif"),
+            onvif=_Dummy(events=_Dummy(enabled=True)),
+        )
+        self.assertIsNone(verify_motion_and_detect(cam))
+
+
+if __name__ == "__main__":
+    unittest.main()

frigate/test/test_onvif_metadata.py

@@ -0,0 +1,152 @@
+"""Unit tests for the ONVIF analytics metadata decoder + cell→box mapper."""
+
+import base64
+import unittest
+
+import numpy as np
+
+from frigate.ptz.onvif_metadata import (
+    _cells_to_boxes,
+    _decode_cells,
+    _extract_cells_from_doc,
+    _packbits_decode,
+)
+
+
+class TestPackBits(unittest.TestCase):
+    def test_spec_example(self):
+        # ONVIF Analytics Annex B worked example:
+        #   raw  = ff ff ff f0 f0 f0
+        #   packed (PackBits) = fe ff fe f0
+        packed = bytes.fromhex("feff fef0".replace(" ", ""))
+        self.assertEqual(
+            _packbits_decode(packed),
+            bytes.fromhex("ffff fff0 f0f0".replace(" ", "")),
+        )
+
+    def test_idle_frame_from_live_camera(self):
+        # `zwA=` is a representative idle-frame payload from a 22×18 grid:
+        # 396 bits → 50 bytes after byte-padding; PackBits compresses 50
+        # zeros to `cf 00` → base64 `zwA=`.
+        packed = base64.b64decode("zwA=")
+        self.assertEqual(packed, bytes.fromhex("cf 00".replace(" ", "")))
+        raw = _packbits_decode(packed)
+        self.assertEqual(len(raw), 50)
+        self.assertEqual(raw, b"\x00" * 50)
+
+    def test_literal_run(self):
+        # Header 0x03 → 4 literal bytes follow.
+        self.assertEqual(_packbits_decode(b"\x03ABCD"), b"ABCD")
+
+    def test_noop_header(self):
+        # 0x80 is no-op per spec; literal after should still decode normally.
+        # \x80 → no-op; \x02 → literal of 3 bytes follows; "ABC" copied.
+        self.assertEqual(_packbits_decode(b"\x80\x02ABC"), b"ABC")
+
+
+class TestDecodeCells(unittest.TestCase):
+    def test_idle(self):
+        cells = _decode_cells("zwA=", 22, 18)
+        self.assertIsNotNone(cells)
+        self.assertEqual(cells.shape, (18, 22))
+        self.assertEqual(int(cells.sum()), 0)
+
+    def test_invalid_base64(self):
+        self.assertIsNone(_decode_cells("not-base64!@", 22, 18))
+
+    def test_short_payload_returns_none(self):
+        # `cf 00` decodes to 50 bytes; ask for 100×100 grid (1250 bytes
+        # needed) → expect None.
+        self.assertIsNone(_decode_cells("zwA=", 100, 100))
+
+    def test_top_left_active(self):
+        # Build a 22×18 grid with only cell (0,0) active. Raw bitmap byte 0
+        # = 0x80 (MSB set), bytes 1..49 = 0x00. PackBits of that 50-byte
+        # sequence: literal-1-byte (header 0x00) of 0x80, then replicate of
+        # 49 zeros (header 257-49=208=0xD0, byte 0x00).
+        packed = bytes([0x00, 0x80, 0xD0, 0x00])
+        b64 = base64.b64encode(packed).decode()
+        cells = _decode_cells(b64, 22, 18)
+        self.assertIsNotNone(cells)
+        self.assertEqual(int(cells[0, 0]), 1)
+        self.assertEqual(int(cells.sum()), 1)
+
+
+class TestCellsToBoxes(unittest.TestCase):
+    """Verify the cell-grid → detect-frame pixel mapping using a representative
+    CellLayout (22x18, Translate(-1,-1), Scale(2/22, 2/18))."""
+
+    LAYOUT = (22, 18, (-1.0, -1.0), (2.0 / 22, 2.0 / 18))
+    DETECT = (1280, 720)
+
+    def test_empty(self):
+        cells = np.zeros((18, 22), dtype=np.uint8)
+        self.assertEqual(_cells_to_boxes(cells, self.LAYOUT, self.DETECT), [])
+
+    def test_top_left_cell(self):
+        cells = np.zeros((18, 22), dtype=np.uint8)
+        cells[0, 0] = 1
+        boxes = _cells_to_boxes(cells, self.LAYOUT, self.DETECT)
+        self.assertEqual(len(boxes), 1)
+        x1, y1, x2, y2 = boxes[0]
+        # Cell (0,0) covers normalized [-1, -1+2/22] × [-1, -1+2/18]
+        # → detect px [0, 1280/22] × [0, 720/18] = [0, ~58] × [0, 40]
+        self.assertEqual(x1, 0)
+        self.assertEqual(y1, 0)
+        self.assertAlmostEqual(x2, round(1280 / 22), delta=2)
+        self.assertAlmostEqual(y2, round(720 / 18), delta=2)
+
+    def test_bottom_right_cell(self):
+        cells = np.zeros((18, 22), dtype=np.uint8)
+        cells[17, 21] = 1
+        boxes = _cells_to_boxes(cells, self.LAYOUT, self.DETECT)
+        self.assertEqual(len(boxes), 1)
+        x1, y1, x2, y2 = boxes[0]
+        # Bottom-right edge clamps to detect_size - 1.
+        self.assertEqual(x2, self.DETECT[0] - 1)
+        self.assertEqual(y2, self.DETECT[1] - 1)
+        self.assertAlmostEqual(x1, round(21 * 1280 / 22), delta=2)
+        self.assertAlmostEqual(y1, round(17 * 720 / 18), delta=2)
+
+    def test_two_separated_regions(self):
+        cells = np.zeros((18, 22), dtype=np.uint8)
+        # Region A: top-left 2×2 block
+        cells[0:2, 0:2] = 1
+        # Region B: bottom-right 2×2 block (separated by inactive cells)
+        cells[15:17, 18:20] = 1
+        boxes = _cells_to_boxes(cells, self.LAYOUT, self.DETECT)
+        self.assertEqual(len(boxes), 2)
+
+
+class TestExtractCellsFromDoc(unittest.TestCase):
+    def test_typical_frame(self):
+        doc = (
+            b'<tt:MetadataStream xmlns:tt="http://www.onvif.org/ver10/schema">'
+            b"<tt:VideoAnalytics>"
+            b'<tt:Frame UtcTime="2026-05-29T14:12:20Z">'
+            b"<tt:Extension>"
+            b'<tt:MotionInCells Columns="22" Rows="18" Cells="zwA="/>'
+            b"</tt:Extension></tt:Frame></tt:VideoAnalytics></tt:MetadataStream>"
+        )
+        cells_b64, cols, rows = _extract_cells_from_doc(doc)
+        self.assertEqual(cells_b64, "zwA=")
+        self.assertEqual(cols, 22)
+        self.assertEqual(rows, 18)
+
+    def test_malformed_xml(self):
+        self.assertEqual(
+            _extract_cells_from_doc(b"not-xml"),
+            (None, 0, 0),
+        )
+
+    def test_doc_without_motioncells(self):
+        doc = (
+            b'<tt:MetadataStream xmlns:tt="http://www.onvif.org/ver10/schema">'
+            b"<tt:VideoAnalytics><tt:Frame/></tt:VideoAnalytics>"
+            b"</tt:MetadataStream>"
+        )
+        self.assertEqual(_extract_cells_from_doc(doc), (None, 0, 0))
+
+
+if __name__ == "__main__":
+    unittest.main()

frigate/test/test_onvif_pullpoint.py

@@ -0,0 +1,72 @@
+"""Unit tests for the ONVIF PullPoint motion-state parser."""
+
+import unittest
+from xml.etree import ElementTree as ET
+
+from frigate.ptz.onvif_events import _parse_motion_state
+
+
+class FakeMessage:
+    """Mimic the zeep NotificationMessage shape: a Message attribute holding
+    an object whose `_value_1` is an lxml/etree element."""
+
+    class _Body:
+        def __init__(self, element):
+            self._value_1 = element
+
+    def __init__(self, xml: str):
+        self.Message = self._Body(ET.fromstring(xml))
+
+
+_NS = 'xmlns:tt="http://www.onvif.org/ver10/schema"'
+
+
+def _build_msg(name: str, value: str) -> FakeMessage:
+    xml = (
+        f"<tt:Message {_NS}>"
+        "<tt:Source>"
+        '<tt:SimpleItem Name="Source" Value="VideoSourceToken"/>'
+        "</tt:Source>"
+        "<tt:Data>"
+        f'<tt:SimpleItem Name="{name}" Value="{value}"/>'
+        "</tt:Data>"
+        "</tt:Message>"
+    )
+    return FakeMessage(xml)
+
+
+class TestParseMotionState(unittest.TestCase):
+    def test_is_motion_true(self):
+        self.assertTrue(_parse_motion_state(_build_msg("IsMotion", "true")))
+
+    def test_is_motion_false(self):
+        self.assertFalse(_parse_motion_state(_build_msg("IsMotion", "false")))
+
+    def test_legacy_state_topic_name(self):
+        # The legacy tns1:VideoSource/MotionAlarm payload uses "State" instead
+        # of the spec-compliant "IsMotion"; we accept either.
+        self.assertTrue(_parse_motion_state(_build_msg("State", "true")))
+        self.assertFalse(_parse_motion_state(_build_msg("State", "false")))
+
+    def test_boolean_aliases(self):
+        self.assertTrue(_parse_motion_state(_build_msg("IsMotion", "1")))
+        self.assertFalse(_parse_motion_state(_build_msg("IsMotion", "0")))
+
+    def test_no_state_returns_none(self):
+        # Missing the State/IsMotion SimpleItem.
+        xml = (
+            f"<tt:Message {_NS}>"
+            '<tt:Data><tt:SimpleItem Name="Other" Value="yes"/></tt:Data>'
+            "</tt:Message>"
+        )
+        self.assertIsNone(_parse_motion_state(FakeMessage(xml)))
+
+    def test_no_message_returns_none(self):
+        class Empty:
+            pass
+
+        self.assertIsNone(_parse_motion_state(Empty()))
+
+
+if __name__ == "__main__":
+    unittest.main()

frigate/video/detect.py

@@ -14,6 +14,7 @@ from frigate.camera import CameraMetrics, PTZMetrics
 from frigate.comms.inter_process import InterProcessRequestor
 from frigate.config import CameraConfig, DetectConfig, LoggerConfig, ModelConfig
 from frigate.config.camera.camera import CameraTypeEnum
+from frigate.config.camera.motion import MotionSourceEnum
 from frigate.config.camera.updater import (
     CameraConfigUpdateEnum,
     CameraConfigUpdateSubscriber,
@@ -300,7 +301,22 @@ def process_frames(
             continue
 
         # look for motion if enabled
-        motion_boxes = motion_detector.detect(frame)
+        if camera_config.motion.source == MotionSourceEnum.onvif:
+            # Motion is supplied by an external ONVIF cell-motion subscriber
+            # writing to camera_metrics. Skip the per-frame internal detector.
+            if camera_metrics.external_motion_active.value:
+                boxes = list(camera_metrics.external_motion_boxes)
+                if boxes:
+                    motion_boxes = [tuple(b) for b in boxes]
+                else:
+                    # Active but no spatial data yet — fall back to full frame
+                    # so downstream region clustering still has something to
+                    # scan.
+                    motion_boxes = [(0, 0, frame_shape[1] - 1, frame_shape[0] - 1)]
+            else:
+                motion_boxes = []
+        else:
+            motion_boxes = motion_detector.detect(frame)
 
         regions = []
         consolidated_detections = []

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

@@ -262,6 +262,10 @@
       "label": "Enable motion detection",
       "description": "Enable or disable motion detection for this camera."
     },
+    "source": {
+      "label": "Motion source",
+      "description": "Where motion state comes from: Frigate's internal frame analyser, or the camera's ONVIF cell-motion events (requires onvif.events.enabled)."
+    },
     "threshold": {
       "label": "Motion threshold",
       "description": "Pixel difference threshold used by the motion detector; higher values reduce sensitivity (range 1-255)."
@@ -843,6 +847,22 @@
         "description": "Internal field to track whether autotracking was enabled in configuration."
       }
     },
+    "events": {
+      "label": "ONVIF events",
+      "description": "Consume camera-side ONVIF motion notifications instead of Frigate's CPU motion detector.",
+      "enabled": {
+        "label": "Enable ONVIF events",
+        "description": "Subscribe to the camera's ONVIF cell-motion notifications and use them as Frigate's motion signal."
+      },
+      "subscription_timeout": {
+        "label": "Subscription timeout",
+        "description": "Seconds before the PullPoint subscription expires and is renewed."
+      },
+      "use_metadata_stream": {
+        "label": "Use metadata stream",
+        "description": "Open the ONVIF analytics RTSP metadata stream to receive per-cell motion coordinates. Falls back to a full-frame box when disabled or when the camera does not advertise the track."
+      }
+    },
     "ignore_time_mismatch": {
       "label": "Ignore time mismatch",
       "description": "Ignore time synchronization differences between camera and Frigate server for ONVIF communication."

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

@@ -777,6 +777,10 @@
       "label": "Enable motion detection",
       "description": "Enable or disable motion detection for all cameras; can be overridden per-camera."
     },
+    "source": {
+      "label": "Motion source",
+      "description": "Where motion state comes from: Frigate's internal frame analyser, or the camera's ONVIF cell-motion events (requires onvif.events.enabled)."
+    },
     "threshold": {
       "label": "Motion threshold",
       "description": "Pixel difference threshold used by the motion detector; higher values reduce sensitivity (range 1-255)."
@@ -1627,6 +1631,22 @@
         "description": "Internal field to track whether autotracking was enabled in configuration."
       }
     },
+    "events": {
+      "label": "ONVIF events",
+      "description": "Consume camera-side ONVIF motion notifications instead of Frigate's CPU motion detector.",
+      "enabled": {
+        "label": "Enable ONVIF events",
+        "description": "Subscribe to the camera's ONVIF cell-motion notifications and use them as Frigate's motion signal."
+      },
+      "subscription_timeout": {
+        "label": "Subscription timeout",
+        "description": "Seconds before the PullPoint subscription expires and is renewed."
+      },
+      "use_metadata_stream": {
+        "label": "Use metadata stream",
+        "description": "Open the ONVIF analytics RTSP metadata stream to receive per-cell motion coordinates. Falls back to a full-frame box when disabled or when the camera does not advertise the track."
+      }
+    },
     "ignore_time_mismatch": {
       "label": "Ignore time mismatch",
       "description": "Ignore time synchronization differences between camera and Frigate server for ONVIF communication."