Merge 35c2e6c983 into f448b259a2

* use badge with popover to show which cameras override each global config section

* don't use shorthand

* use label i18n

docs/docs/configuration/hardware_acceleration_video.md

@@ -136,90 +136,32 @@ ffmpeg:
 </TabItem>
 </ConfigTabs>
 
-### Configuring Intel GPU Stats in Docker
+### Configuring Intel GPU Stats
 
-Additional configuration is needed for the Docker container to be able to access the `intel_gpu_top` command for GPU stats. There are two options:
+Frigate reads Intel GPU utilization directly from the kernel's per-client DRM usage counters exposed at `/proc/<pid>/fdinfo/<fd>`. This requires:
 
-1. Run the container as privileged.
-2. Add the `CAP_PERFMON` capability (note: you might need to set the `perf_event_paranoid` low enough to allow access to the performance event system.)
+- Linux kernel **5.19 or newer** for the `i915` driver, or any release of the `xe` driver.
+- Frigate running with permission to read other processes' fdinfo. Running as root inside the container (the default) satisfies this; non-root setups may need `CAP_SYS_PTRACE`.
 
-#### Run as privileged
+No `intel_gpu_top` binary, `CAP_PERFMON`, privileged mode, or `perf_event_paranoid` tuning is required.
 
-This method works, but it gives more permissions to the container than are actually needed.
+#### Stats for SR-IOV or specific devices
 
-##### Docker Compose - Privileged
-
-```yaml
-services:
-  frigate:
-    ...
-    image: ghcr.io/blakeblackshear/frigate:stable
-    # highlight-next-line
-    privileged: true
-```
-
-##### Docker Run CLI - Privileged
-
-```bash {4}
-docker run -d \
-  --name frigate \
-  ...
-  --privileged \
-  ghcr.io/blakeblackshear/frigate:stable
-```
-
-#### CAP_PERFMON
-
-Only recent versions of Docker support the `CAP_PERFMON` capability. You can test to see if yours supports it by running: `docker run --cap-add=CAP_PERFMON hello-world`
-
-##### Docker Compose - CAP_PERFMON
-
-```yaml {5,6}
-services:
-  frigate:
-    ...
-    image: ghcr.io/blakeblackshear/frigate:stable
-    cap_add:
-      - CAP_PERFMON
-```
-
-##### Docker Run CLI - CAP_PERFMON
-
-```bash {4}
-docker run -d \
-  --name frigate \
-  ...
-  --cap-add=CAP_PERFMON \
-  ghcr.io/blakeblackshear/frigate:stable
-```
-
-#### perf_event_paranoid
-
-_Note: This setting must be changed for the entire system._
-
-For more information on the various values across different distributions, see https://askubuntu.com/questions/1400874/what-does-perf-paranoia-level-four-do.
-
-Depending on your OS and kernel configuration, you may need to change the `/proc/sys/kernel/perf_event_paranoid` kernel tunable. You can test the change by running `sudo sh -c 'echo 2 >/proc/sys/kernel/perf_event_paranoid'` which will persist until a reboot. Make it permanent by running `sudo sh -c 'echo kernel.perf_event_paranoid=2 >> /etc/sysctl.d/local.conf'`
-
-#### Stats for SR-IOV or other devices
-
-When using virtualized GPUs via SR-IOV, you need to specify the device path to use to gather stats from `intel_gpu_top`. This example may work for some systems using SR-IOV:
+If the host has more than one Intel GPU (e.g. an iGPU plus a discrete GPU, or SR-IOV virtual functions), pin stats collection to a specific device by setting `intel_gpu_device` to either its PCI bus address or a DRM card/render-node path:
 
 ```yaml
 telemetry:
   stats:
-    intel_gpu_device: "sriov"
+    intel_gpu_device: "0000:00:02.0"
 ```
 
-For other virtualized GPUs, try specifying the direct path to the device instead:
-
 ```yaml
 telemetry:
   stats:
-    intel_gpu_device: "drm:/dev/dri/card0"
+    intel_gpu_device: "/dev/dri/card1"
 ```
 
-If you are passing in a device path, make sure you've passed the device through to the container.
+When passing a device path, make sure the device is also passed through to the container.
 
 ## AMD-based CPUs
 

frigate/config/telemetry.py

@@ -25,8 +25,8 @@ class StatsConfig(FrigateBaseModel):
     )
     intel_gpu_device: Optional[str] = Field(
         default=None,
-        title="SR-IOV device",
-        description="Device identifier used when treating Intel GPUs as SR-IOV to fix GPU stats.",
+        title="Intel GPU device",
+        description="PCI bus address or DRM device path (e.g. /dev/dri/card1) used to pin Intel GPU stats to a specific device when multiple are present.",
     )
 
 

frigate/test/test_gpu_stats.py

@@ -7,8 +7,6 @@ from frigate.util.services import get_amd_gpu_stats, get_intel_gpu_stats
 class TestGpuStats(unittest.TestCase):
     def setUp(self):
         self.amd_results = "Unknown Radeon card. <= R500 won't work, new cards might.\nDumping to -, line limit 1.\n1664070990.607556: bus 10, gpu 4.17%, ee 0.00%, vgt 0.00%, ta 0.00%, tc 0.00%, sx 0.00%, sh 0.00%, spi 0.83%, smx 0.00%, cr 0.00%, sc 0.00%, pa 0.00%, db 0.00%, cb 0.00%, vram 60.37% 294.04mb, gtt 0.33% 52.21mb, mclk 100.00% 1.800ghz, sclk 26.65% 0.533ghz\n"
-        self.intel_results = """{"period":{"duration":1.194033,"unit":"ms"},"frequency":{"requested":0.000000,"actual":0.000000,"unit":"MHz"},"interrupts":{"count":3349.991164,"unit":"irq/s"},"rc6":{"value":47.844741,"unit":"%"},"engines":{"Render/3D/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Blitter/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Video/0":{"busy":4.533124,"sema":0.000000,"wait":0.000000,"unit":"%"},"Video/1":{"busy":6.194385,"sema":0.000000,"wait":0.000000,"unit":"%"},"VideoEnhance/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"}}},{"period":{"duration":1.189291,"unit":"ms"},"frequency":{"requested":0.000000,"actual":0.000000,"unit":"MHz"},"interrupts":{"count":0.000000,"unit":"irq/s"},"rc6":{"value":100.000000,"unit":"%"},"engines":{"Render/3D/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Blitter/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Video/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Video/1":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"VideoEnhance/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"}}}"""
-        self.nvidia_results = "name, utilization.gpu [%], memory.used [MiB], memory.total [MiB]\nNVIDIA GeForce RTX 3050, 42 %, 5036 MiB, 8192 MiB\n"
 
     @patch("subprocess.run")
     def test_amd_gpu_stats(self, sp):
@@ -19,32 +17,76 @@ class TestGpuStats(unittest.TestCase):
         amd_stats = get_amd_gpu_stats()
         assert amd_stats == {"gpu": "4.17%", "mem": "60.37%"}
 
-    # @patch("subprocess.run")
-    # def test_nvidia_gpu_stats(self, sp):
-    #    process = MagicMock()
-    #    process.returncode = 0
-    #    process.stdout = self.nvidia_results
-    #    sp.return_value = process
-    #    nvidia_stats = get_nvidia_gpu_stats()
-    #    assert nvidia_stats == {
-    #        "name": "NVIDIA GeForce RTX 3050",
-    #        "gpu": "42 %",
-    #        "mem": "61.5 %",
-    #    }
+    @patch("frigate.util.services.time.sleep")
+    @patch("frigate.util.services.time.monotonic")
+    @patch("frigate.util.services._read_intel_drm_fdinfo")
+    def test_intel_gpu_stats_fdinfo(self, read_fdinfo, monotonic, sleep):
+        # 1 second of wall clock between snapshots
+        monotonic.side_effect = [0.0, 1.0]
 
-    @patch("subprocess.run")
-    def test_intel_gpu_stats(self, sp):
-        process = MagicMock()
-        process.returncode = 124
-        process.stdout = self.intel_results
-        sp.return_value = process
-        intel_stats = get_intel_gpu_stats(False)
-        # rc6 values: 47.844741 and 100.0 → avg 73.92 → gpu = 100 - 73.92 = 26.08%
-        # Render/3D/0: 0.0 and 0.0 → enc = 0.0%
-        # Video/0: 4.533124 and 0.0 → dec = 2.27%
-        assert intel_stats == {
-            "gpu": "26.08%",
-            "mem": "-%",
-            "compute": "0.0%",
-            "dec": "2.27%",
+        # Two i915 clients on the same iGPU. Engine values are cumulative ns.
+        # Deltas over the 1s window:
+        #   client A (pid 100): render +200_000_000 (20%), video +500_000_000 (50%),
+        #                       video-enhance +100_000_000 (10%)
+        #   client B (pid 200): compute +100_000_000 (10%)
+        # Engine totals → render 20, video 50, video-enhance 10, compute 10
+        # → compute = render + compute = 30
+        # → dec = video + video-enhance = 60
+        # → gpu = compute + dec = 90
+        snapshot_a = {
+            ("0000:00:02.0", "1", "100"): {
+                "driver": "i915",
+                "pid": "100",
+                "engines": {
+                    "render": (1_000_000_000, 0),
+                    "video": (5_000_000_000, 0),
+                    "video-enhance": (200_000_000, 0),
+                    "compute": (0, 0),
+                },
+            },
+            ("0000:00:02.0", "2", "200"): {
+                "driver": "i915",
+                "pid": "200",
+                "engines": {
+                    "render": (0, 0),
+                    "compute": (2_000_000_000, 0),
+                },
+            },
         }
+        snapshot_b = {
+            ("0000:00:02.0", "1", "100"): {
+                "driver": "i915",
+                "pid": "100",
+                "engines": {
+                    "render": (1_200_000_000, 0),
+                    "video": (5_500_000_000, 0),
+                    "video-enhance": (300_000_000, 0),
+                    "compute": (0, 0),
+                },
+            },
+            ("0000:00:02.0", "2", "200"): {
+                "driver": "i915",
+                "pid": "200",
+                "engines": {
+                    "render": (0, 0),
+                    "compute": (2_100_000_000, 0),
+                },
+            },
+        }
+        read_fdinfo.side_effect = [snapshot_a, snapshot_b]
+
+        intel_stats = get_intel_gpu_stats(None)
+
+        sleep.assert_called_once()
+        assert intel_stats == {
+            "gpu": "90.0%",
+            "mem": "-%",
+            "compute": "30.0%",
+            "dec": "60.0%",
+            "clients": {"100": "80.0%", "200": "10.0%"},
+        }
+
+    @patch("frigate.util.services._read_intel_drm_fdinfo")
+    def test_intel_gpu_stats_no_clients(self, read_fdinfo):
+        read_fdinfo.return_value = {}
+        assert get_intel_gpu_stats(None) is None

frigate/util/services.py

@@ -264,156 +264,214 @@ def get_amd_gpu_stats() -> Optional[dict[str, str]]:
         return results
 
 
-def get_intel_gpu_stats(intel_gpu_device: Optional[str]) -> Optional[dict[str, str]]:
-    """Get stats using intel_gpu_top.
+_INTEL_FDINFO_SAMPLE_SECONDS = 1.0
 
-    Returns overall GPU usage derived from rc6 residency (idle time),
-    plus individual engine breakdowns:
-      - enc: Render/3D engine (compute/shader encoder, used by QSV)
-      - dec: Video engines (fixed-function codec, used by VAAPI)
+# Engines we track. Render/3D and Compute are pooled into "compute"; Video and
+# VideoEnhance into "dec" (VideoEnhance is the post-process engine that handles
+# VAAPI scaling/deinterlace/CSC, e.g. ffmpeg `-vf scale_vaapi=...`). The Copy
+# (DMA blitter) engine is intentionally ignored — it represents transparent
+# memory transfers, not user-visible GPU work.
+# i915 fdinfo keys (cumulative ns) → logical engine name.
+_I915_ENGINE_KEYS = {
+    "drm-engine-render": "render",
+    "drm-engine-video": "video",
+    "drm-engine-video-enhance": "video-enhance",
+    "drm-engine-compute": "compute",
+}
+# Xe fdinfo suffixes (cumulative cycles, paired with drm-total-cycles-*).
+_XE_ENGINE_KEYS = {
+    "rcs": "render",
+    "vcs": "video",
+    "vecs": "video-enhance",
+    "ccs": "compute",
+}
+
+
+def _resolve_intel_gpu_pdev(device: Optional[str]) -> Optional[str]:
+    """Map a configured GPU hint (/dev/dri/card1, renderD128, or a PCI bus
+    address) to its drm-pdev string so we can filter fdinfo entries to that
+    device. Returns None when no hint is supplied or it cannot be resolved."""
+    if not device:
+        return None
+
+    if re.match(r"^[0-9a-fA-F]{4}:[0-9a-fA-F]{2}:[0-9a-fA-F]{2}\.[0-9a-fA-F]$", device):
+        return device
+
+    name = os.path.basename(device.rstrip("/"))
+    try:
+        return os.path.basename(os.path.realpath(f"/sys/class/drm/{name}/device"))
+    except OSError:
+        return None
+
+
+def _read_intel_drm_fdinfo(target_pdev: Optional[str]) -> dict:
+    """Snapshot DRM fdinfo for every Intel client visible in /proc.
+
+    Returns a dict keyed by (pdev, drm-client-id, pid) so the same context
+    seen via multiple file descriptors on a single process collapses to one
+    entry.
     """
-
-    def get_stats_manually(output: str) -> dict[str, str]:
-        """Find global stats via regex when json fails to parse."""
-        reading = "".join(output)
-        results: dict[str, str] = {}
-
-        # rc6 residency for overall GPU usage
-        rc6_match = re.search(r'"rc6":\{"value":([\d.]+)', reading)
-        if rc6_match:
-            rc6_value = float(rc6_match.group(1))
-            results["gpu"] = f"{round(100.0 - rc6_value, 2)}%"
-        else:
-            results["gpu"] = "-%"
-
-        results["mem"] = "-%"
-
-        # Render/3D is the compute/encode engine
-        render = []
-        for result in re.findall(r'"Render/3D/0":{[a-z":\d.,%]+}', reading):
-            packet = json.loads(result[14:])
-            single = packet.get("busy", 0.0)
-            render.append(float(single))
-
-        if render:
-            results["compute"] = f"{round(sum(render) / len(render), 2)}%"
-
-        # Video engines are the fixed-function decode engines
-        video = []
-        for result in re.findall(r'"Video/\d":{[a-z":\d.,%]+}', reading):
-            packet = json.loads(result[10:])
-            single = packet.get("busy", 0.0)
-            video.append(float(single))
-
-        if video:
-            results["dec"] = f"{round(sum(video) / len(video), 2)}%"
-
-        return results
-
-    intel_gpu_top_command = [
-        "timeout",
-        "0.5s",
-        "intel_gpu_top",
-        "-J",
-        "-o",
-        "-",
-        "-s",
-        "1000",  # Intel changed this from seconds to milliseconds in 2024+ versions
-    ]
-
-    if intel_gpu_device:
-        intel_gpu_top_command += ["-d", intel_gpu_device]
+    snapshot: dict = {}
 
     try:
-        p = sp.run(
-            intel_gpu_top_command,
-            encoding="ascii",
-            capture_output=True,
-        )
-    except UnicodeDecodeError:
-        return None
+        proc_entries = os.listdir("/proc")
+    except OSError:
+        return snapshot
 
-    # timeout has a non-zero returncode when timeout is reached
-    if p.returncode != 124:
-        logger.error(f"Unable to poll intel GPU stats: {p.stderr}")
-        return None
-    else:
-        output = "".join(p.stdout.split())
+    for entry in proc_entries:
+        if not entry.isdigit():
+            continue
 
+        fdinfo_dir = f"/proc/{entry}/fdinfo"
         try:
-            data = json.loads(f"[{output}]")
-        except json.JSONDecodeError:
-            return get_stats_manually(output)
+            fds = os.listdir(fdinfo_dir)
+        except (FileNotFoundError, PermissionError, NotADirectoryError, OSError):
+            continue
 
-        results: dict[str, str] = {}
-        rc6_values = []
-        render_global = []
-        video_global = []
-        # per-client: {pid: [total_busy_per_sample, ...]}
-        client_usages: dict[str, list[float]] = {}
+        for fd in fds:
+            try:
+                with open(f"{fdinfo_dir}/{fd}") as f:
+                    content = f.read()
+            except (FileNotFoundError, PermissionError, OSError):
+                continue
 
-        for block in data:
-            # rc6 residency: percentage of time GPU is idle
-            rc6 = block.get("rc6", {}).get("value")
-            if rc6 is not None:
-                rc6_values.append(float(rc6))
+            if "drm-driver" not in content:
+                continue
 
-            global_engine = block.get("engines")
+            fields: dict[str, str] = {}
+            for line in content.splitlines():
+                key, sep, value = line.partition(":")
+                if sep:
+                    fields[key.strip()] = value.strip()
 
-            if global_engine:
-                render_frame = global_engine.get("Render/3D/0", {}).get("busy")
-                video_frame = global_engine.get("Video/0", {}).get("busy")
+            driver = fields.get("drm-driver")
+            if driver not in ("i915", "xe"):
+                continue
 
-                if render_frame is not None:
-                    render_global.append(float(render_frame))
+            pdev = fields.get("drm-pdev", "")
+            if target_pdev and pdev != target_pdev:
+                continue
 
-                if video_frame is not None:
-                    video_global.append(float(video_frame))
+            client_id = fields.get("drm-client-id")
+            if not client_id:
+                continue
 
-            clients = block.get("clients", {})
+            key = (pdev, client_id, entry)
+            if key in snapshot:
+                continue
 
-            if clients:
-                for client_block in clients.values():
-                    pid = client_block["pid"]
+            engines: dict[str, tuple[int, int]] = {}
 
-                    if pid not in client_usages:
-                        client_usages[pid] = []
+            if driver == "i915":
+                for fkey, engine in _I915_ENGINE_KEYS.items():
+                    raw = fields.get(fkey)
+                    if not raw:
+                        continue
+                    try:
+                        engines[engine] = (int(raw.split()[0]), 0)
+                    except (ValueError, IndexError):
+                        continue
+            else:
+                for suffix, engine in _XE_ENGINE_KEYS.items():
+                    busy_raw = fields.get(f"drm-cycles-{suffix}")
+                    total_raw = fields.get(f"drm-total-cycles-{suffix}")
+                    if not (busy_raw and total_raw):
+                        continue
+                    try:
+                        engines[engine] = (
+                            int(busy_raw.split()[0]),
+                            int(total_raw.split()[0]),
+                        )
+                    except (ValueError, IndexError):
+                        continue
 
-                    # Sum all engine-class busy values for this client
-                    total_busy = 0.0
-                    for engine in client_block.get("engine-classes", {}).values():
-                        busy = engine.get("busy")
-                        if busy is not None:
-                            total_busy += float(busy)
+            if not engines:
+                continue
 
-                    client_usages[pid].append(total_busy)
+            snapshot[key] = {"driver": driver, "pid": entry, "engines": engines}
 
-        # Overall GPU usage from rc6 (idle) residency
-        if rc6_values:
-            rc6_avg = sum(rc6_values) / len(rc6_values)
-            results["gpu"] = f"{round(100.0 - rc6_avg, 2)}%"
+    return snapshot
 
-        results["mem"] = "-%"
 
-        # Compute: Render/3D engine (compute/shader workloads and QSV encode)
-        if render_global:
-            results["compute"] = f"{round(sum(render_global) / len(render_global), 2)}%"
+def get_intel_gpu_stats(intel_gpu_device: Optional[str]) -> Optional[dict[str, Any]]:
+    """Get stats by reading DRM fdinfo files.
 
-        # Decoder: Video engine (fixed-function codec)
-        if video_global:
-            results["dec"] = f"{round(sum(video_global) / len(video_global), 2)}%"
+    Each DRM client FD exposes monotonic per-engine busy counters via
+    /proc/<pid>/fdinfo/<fd> (i915 since kernel 5.19, Xe since first release).
+    We sample twice and divide busy-time deltas by wall-clock to derive
+    utilization. Render/3D and Compute are pooled into "compute"; Video and
+    VideoEnhance into "dec". Overall "gpu" is the sum of those pools (clamped
+    to 100%).
+    """
+    target_pdev = _resolve_intel_gpu_pdev(intel_gpu_device)
 
-        # Per-client GPU usage (sum of all engines per process)
-        if client_usages:
-            results["clients"] = {}
+    snapshot_a = _read_intel_drm_fdinfo(target_pdev)
+    if not snapshot_a:
+        return None
 
-            for pid, samples in client_usages.items():
-                if samples:
-                    results["clients"][pid] = (
-                        f"{round(sum(samples) / len(samples), 2)}%"
-                    )
+    start = time.monotonic()
+    time.sleep(_INTEL_FDINFO_SAMPLE_SECONDS)
+    elapsed_ns = (time.monotonic() - start) * 1e9
 
-        return results
+    snapshot_b = _read_intel_drm_fdinfo(target_pdev)
+    if not snapshot_b or elapsed_ns <= 0:
+        return None
+
+    engine_pct: dict[str, float] = {
+        "render": 0.0,
+        "video": 0.0,
+        "video-enhance": 0.0,
+        "compute": 0.0,
+    }
+    pid_pct: dict[str, float] = {}
+
+    for key, data_b in snapshot_b.items():
+        data_a = snapshot_a.get(key)
+        if not data_a or data_a["driver"] != data_b["driver"]:
+            continue
+
+        client_total = 0.0
+        for engine, (busy_b, total_b) in data_b["engines"].items():
+            if engine not in engine_pct:
+                continue
+
+            busy_a, total_a = data_a["engines"].get(engine, (busy_b, total_b))
+
+            if data_b["driver"] == "i915":
+                delta = max(0, busy_b - busy_a)
+                pct = min(100.0, delta / elapsed_ns * 100.0)
+            else:
+                delta_busy = max(0, busy_b - busy_a)
+                delta_total = total_b - total_a
+                if delta_total <= 0:
+                    continue
+                pct = min(100.0, delta_busy / delta_total * 100.0)
+
+            engine_pct[engine] += pct
+            client_total += pct
+
+        pid_pct[data_b["pid"]] = pid_pct.get(data_b["pid"], 0.0) + client_total
+
+    for engine in engine_pct:
+        engine_pct[engine] = min(100.0, engine_pct[engine])
+
+    compute_pct = min(100.0, engine_pct["render"] + engine_pct["compute"])
+    dec_pct = min(100.0, engine_pct["video"] + engine_pct["video-enhance"])
+    overall_pct = min(100.0, compute_pct + dec_pct)
+
+    results: dict[str, Any] = {
+        "gpu": f"{round(overall_pct, 2)}%",
+        "mem": "-%",
+        "compute": f"{round(compute_pct, 2)}%",
+        "dec": f"{round(dec_pct, 2)}%",
+    }
+
+    if pid_pct:
+        results["clients"] = {
+            pid: f"{round(min(100.0, pct), 2)}%" for pid, pct in pid_pct.items()
+        }
+
+    return results
 
 
 def get_openvino_npu_stats() -> Optional[dict[str, str]]:

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

@@ -485,6 +485,10 @@
       "hwaccel_args": {
         "label": "Export hwaccel args",
         "description": "Hardware acceleration args to use for export/transcode operations."
+      },
+      "max_concurrent": {
+        "label": "Maximum concurrent exports",
+        "description": "Maximum number of export jobs to process at the same time."
       }
     },
     "preview": {

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

@@ -242,8 +242,8 @@
         "description": "Enable per-process network bandwidth monitoring for camera ffmpeg processes and detectors (requires capabilities)."
       },
       "intel_gpu_device": {
-        "label": "SR-IOV device",
-        "description": "Device identifier used when treating Intel GPUs as SR-IOV to fix GPU stats."
+        "label": "Intel GPU device",
+        "description": "PCI bus address or DRM device path (e.g. /dev/dri/card1) used to pin Intel GPU stats to a specific device when multiple are present."
       }
     },
     "version_check": {
@@ -1000,6 +1000,10 @@
       "hwaccel_args": {
         "label": "Export hwaccel args",
         "description": "Hardware acceleration args to use for export/transcode operations."
+      },
+      "max_concurrent": {
+        "label": "Maximum concurrent exports",
+        "description": "Maximum number of export jobs to process at the same time."
       }
     },
     "preview": {

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

@@ -20,7 +20,18 @@
     "overriddenGlobal": "Overridden (Global)",
     "overriddenGlobalTooltip": "This camera overrides global configuration settings in this section",
     "overriddenBaseConfig": "Overridden (Base Config)",
-    "overriddenBaseConfigTooltip": "The {{profile}} profile overrides configuration settings in this section"
+    "overriddenBaseConfigTooltip": "The {{profile}} profile overrides configuration settings in this section",
+    "overriddenInCameras": {
+      "label_one": "Overridden in {{count}} camera",
+      "label_other": "Overridden in {{count}} cameras",
+      "tooltip_one": "{{count}} camera overrides values in this section. Click to see details.",
+      "tooltip_other": "{{count}} cameras override values in this section. Click to see details.",
+      "heading_one": "This global section has fields that are overridden in {{count}} camera.",
+      "heading_other": "This global section has fields that are overridden in {{count}} cameras.",
+      "othersField_one": "{{count}} other",
+      "othersField_other": "{{count}} others",
+      "profilePrefix": "{{profile}} profile: {{fields}}"
+    }
   },
   "menu": {
     "general": "General",

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

@@ -25,6 +25,7 @@ import {
 } from "./section-special-cases";
 import { getSectionValidation } from "../section-validations";
 import { useConfigOverride } from "@/hooks/use-config-override";
+import { CameraOverridesBadge } from "./CameraOverridesBadge";
 import { useSectionSchema } from "@/hooks/use-config-schema";
 import type { FrigateConfig } from "@/types/frigateConfig";
 import { Badge } from "@/components/ui/badge";
@@ -1263,6 +1264,9 @@ export function ConfigSection({
                         </TooltipContent>
                       </Tooltip>
                     )}
+                  {showOverrideIndicator && effectiveLevel === "global" && (
+                    <CameraOverridesBadge sectionPath={sectionPath} />
+                  )}
                   {hasChanges && (
                     <Badge variant="outline" className="text-xs">
                       {t("button.modified", {
@@ -1334,6 +1338,9 @@ export function ConfigSection({
                       </TooltipContent>
                     </Tooltip>
                   )}
+                {showOverrideIndicator && effectiveLevel === "global" && (
+                  <CameraOverridesBadge sectionPath={sectionPath} />
+                )}
                 {hasChanges && (
                   <Badge
                     variant="secondary"

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

@@ -0,0 +1,303 @@
+import useSWR from "swr";
+import { useMemo } from "react";
+import { useTranslation } from "react-i18next";
+import { Link } from "react-router-dom";
+import { LuChevronDown } from "react-icons/lu";
+
+import { Badge } from "@/components/ui/badge";
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from "@/components/ui/popover";
+import {
+  CameraOverrideEntry,
+  FieldDelta,
+  useCamerasOverridingSection,
+} from "@/hooks/use-config-override";
+import type { FrigateConfig } from "@/types/frigateConfig";
+import type { ProfilesApiResponse } from "@/types/profile";
+import { humanizeKey } from "@/components/config-form/theme/utils/i18n";
+import { useCameraFriendlyName } from "@/hooks/use-camera-friendly-name";
+import { formatList } from "@/utils/stringUtil";
+import { getSectionConfig } from "@/utils/configUtil";
+
+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",
+};
+
+const MAX_FIELDS_PER_CAMERA = 5;
+
+/**
+ * Enrichment sections where the cross-camera override badge should be
+ * suppressed because they're effectively global-only (or per-camera
+ * configuration there isn't a useful affordance to surface here).
+ * Face recognition and LPR are intentionally omitted so the badge does show
+ * on those enrichment pages.
+ */
+const SECTIONS_WITHOUT_OVERRIDE_BADGE = new Set([
+  "semantic_search",
+  "genai",
+  "classification",
+  "audio_transcription",
+]);
+
+/**
+ * Match a delta path against a hidden-field pattern. Supports literal prefixes
+ * (so a hidden field "streams" also hides "streams.foo.bar") and `*` wildcards
+ * matching exactly one path segment (e.g. "filters.*.mask").
+ */
+function pathMatchesHiddenPattern(path: string, pattern: string): boolean {
+  if (!pattern) return false;
+  if (!pattern.includes("*")) {
+    return path === pattern || path.startsWith(`${pattern}.`);
+  }
+  const patternSegments = pattern.split(".");
+  const pathSegments = path.split(".");
+  if (pathSegments.length < patternSegments.length) return false;
+  for (let i = 0; i < patternSegments.length; i += 1) {
+    if (patternSegments[i] === "*") continue;
+    if (patternSegments[i] !== pathSegments[i]) return false;
+  }
+  return true;
+}
+
+type CameraEntryProps = {
+  sectionPath: string;
+  entry: CameraOverrideEntry;
+  cameraPage?: string;
+};
+
+type SourceGroup = {
+  /** undefined → camera-level; string → profile name */
+  profileName: string | undefined;
+  deltas: FieldDelta[];
+};
+
+function groupDeltasBySource(deltas: FieldDelta[]): SourceGroup[] {
+  const cameraDeltas: FieldDelta[] = [];
+  const byProfile = new Map<string, FieldDelta[]>();
+  for (const delta of deltas) {
+    if (delta.profileName) {
+      const arr = byProfile.get(delta.profileName) ?? [];
+      arr.push(delta);
+      byProfile.set(delta.profileName, arr);
+    } else {
+      cameraDeltas.push(delta);
+    }
+  }
+  const groups: SourceGroup[] = [];
+  if (cameraDeltas.length > 0) {
+    groups.push({ profileName: undefined, deltas: cameraDeltas });
+  }
+  for (const [profileName, group] of byProfile) {
+    groups.push({ profileName, deltas: group });
+  }
+  return groups;
+}
+
+function CameraEntry({ sectionPath, entry, cameraPage }: CameraEntryProps) {
+  const { t, i18n } = useTranslation([
+    "config/global",
+    "views/settings",
+    "objects",
+  ]);
+  const friendlyName = useCameraFriendlyName(entry.camera);
+  const { data: profilesData } = useSWR<ProfilesApiResponse>("profiles");
+
+  const profileFriendlyNames = useMemo(() => {
+    const map = new Map<string, string>();
+    profilesData?.profiles?.forEach((p) => map.set(p.name, p.friendly_name));
+    return map;
+  }, [profilesData]);
+
+  const fieldLabel = (fieldPath: string) => {
+    if (!fieldPath) {
+      const sectionKey = `${sectionPath}.label`;
+      return i18n.exists(sectionKey, { ns: "config/global" })
+        ? t(sectionKey, { ns: "config/global" })
+        : humanizeKey(sectionPath);
+    }
+
+    const segments = fieldPath.split(".");
+
+    // Most specific: try the full nested path
+    const fullKey = `${sectionPath}.${fieldPath}.label`;
+    if (i18n.exists(fullKey, { ns: "config/global" })) {
+      return t(fullKey, { ns: "config/global" });
+    }
+
+    // Try dropping each intermediate segment in turn — those are typically
+    // user-defined dict keys (object class names, zone names, etc.) that
+    // don't have their own label entries. Prepend the dropped segment as
+    // context to disambiguate (e.g. "Person · Minimum object area").
+    for (let i = 0; i < segments.length; i++) {
+      const reduced = [...segments.slice(0, i), ...segments.slice(i + 1)].join(
+        ".",
+      );
+      if (!reduced) continue;
+      const reducedKey = `${sectionPath}.${reduced}.label`;
+      if (i18n.exists(reducedKey, { ns: "config/global" })) {
+        const resolvedLabel = t(reducedKey, { ns: "config/global" });
+        const dropped = segments[i];
+        // Object class names ("person", "car", "fox") have translations in
+        // the `objects` namespace; fall back to humanizing the raw key for
+        // anything that isn't a known label.
+        const droppedLabel = i18n.exists(dropped, { ns: "objects" })
+          ? t(dropped, { ns: "objects" })
+          : humanizeKey(dropped);
+        return `${droppedLabel} · ${resolvedLabel}`;
+      }
+    }
+
+    // Last resort: humanize the leaf segment
+    return humanizeKey(segments[segments.length - 1]);
+  };
+
+  const formatDeltas = (deltas: FieldDelta[]) => {
+    const visibleLabels = deltas
+      .slice(0, MAX_FIELDS_PER_CAMERA)
+      .map((delta) => fieldLabel(delta.fieldPath));
+    const hiddenCount = deltas.length - visibleLabels.length;
+    const labelsForList =
+      hiddenCount > 0
+        ? [
+            ...visibleLabels,
+            t("button.overriddenInCameras.othersField", {
+              ns: "views/settings",
+              count: hiddenCount,
+            }),
+          ]
+        : visibleLabels;
+    return formatList(labelsForList);
+  };
+
+  const groups = groupDeltasBySource(entry.fieldDeltas);
+
+  return (
+    <div className="flex flex-col gap-0.5 text-xs">
+      {cameraPage ? (
+        <Link
+          to={`/settings?page=${cameraPage}&camera=${encodeURIComponent(entry.camera)}`}
+          className="font-medium hover:underline"
+        >
+          {friendlyName}
+        </Link>
+      ) : (
+        <span className="font-medium">{friendlyName}</span>
+      )}
+      {groups.map((group) => (
+        <span
+          key={group.profileName ?? "__camera__"}
+          className="ml-2 text-muted-foreground"
+        >
+          {group.profileName
+            ? t("button.overriddenInCameras.profilePrefix", {
+                ns: "views/settings",
+                profile:
+                  profileFriendlyNames.get(group.profileName) ??
+                  group.profileName,
+                fields: formatDeltas(group.deltas),
+              })
+            : formatDeltas(group.deltas)}
+        </span>
+      ))}
+    </div>
+  );
+}
+
+type Props = {
+  sectionPath: string;
+  className?: string;
+};
+
+export function CameraOverridesBadge({ sectionPath, className }: Props) {
+  const { data: config } = useSWR<FrigateConfig>("config");
+  const { t } = useTranslation(["views/settings"]);
+  const rawEntries = useCamerasOverridingSection(config, sectionPath);
+
+  const entries = useMemo(() => {
+    const hiddenFields =
+      getSectionConfig(sectionPath, "global").hiddenFields ?? [];
+    if (hiddenFields.length === 0) return rawEntries;
+    return rawEntries
+      .map((entry) => ({
+        ...entry,
+        fieldDeltas: entry.fieldDeltas.filter(
+          (delta) =>
+            !hiddenFields.some((pattern) =>
+              pathMatchesHiddenPattern(delta.fieldPath, pattern),
+            ),
+        ),
+      }))
+      .filter((entry) => entry.fieldDeltas.length > 0);
+  }, [rawEntries, sectionPath]);
+
+  if (SECTIONS_WITHOUT_OVERRIDE_BADGE.has(sectionPath)) {
+    return null;
+  }
+
+  if (entries.length === 0) {
+    return null;
+  }
+
+  const cameraPage = CAMERA_PAGE_BY_SECTION[sectionPath];
+  const count = entries.length;
+
+  return (
+    <Popover>
+      <PopoverTrigger asChild>
+        <Badge
+          variant="secondary"
+          className={`cursor-pointer border-2 border-selected text-xs text-primary-variant ${className ?? ""}`}
+          aria-label={t("button.overriddenInCameras.tooltip", {
+            ns: "views/settings",
+            count: count,
+          })}
+        >
+          <span>
+            {t("button.overriddenInCameras.label", {
+              ns: "views/settings",
+              count: count,
+            })}
+          </span>
+          <LuChevronDown className="ml-1 size-3" />
+        </Badge>
+      </PopoverTrigger>
+      <PopoverContent align="start" className="w-80 max-w-[90vw] pr-0">
+        <div className="flex flex-col gap-3">
+          <div className="pr-4 text-xs text-primary-variant">
+            {t("button.overriddenInCameras.heading", {
+              ns: "views/settings",
+              count: count,
+            })}
+          </div>
+          <div className="scrollbar-container flex max-h-[40dvh] flex-col gap-2 overflow-y-auto pr-4">
+            {entries.map((entry) => (
+              <CameraEntry
+                key={entry.camera}
+                sectionPath={sectionPath}
+                entry={entry}
+                cameraPage={cameraPage}
+              />
+            ))}
+          </div>
+        </div>
+      </PopoverContent>
+    </Popover>
+  );
+}

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

@@ -202,6 +202,49 @@ export function useConfigOverride({
   }, [config, cameraName, sectionPath, compareFields]);
 }
 
+/**
+ * Sections that can be overridden per-camera, with optional compareFields
+ * filters that scope the override comparison to a subset of fields.
+ */
+export const OVERRIDABLE_SECTIONS: ReadonlyArray<{
+  key: string;
+  compareFields?: string[];
+}> = [
+  { key: "detect" },
+  { key: "record" },
+  { key: "snapshots" },
+  { key: "motion" },
+  { key: "objects" },
+  { key: "review" },
+  { key: "audio" },
+  { key: "notifications" },
+  { key: "live" },
+  { key: "timestamp_style" },
+  {
+    key: "audio_transcription",
+    compareFields: ["enabled", "live_enabled"],
+  },
+  { key: "birdseye", compareFields: ["enabled", "mode"] },
+  { key: "face_recognition", compareFields: ["enabled", "min_area"] },
+  {
+    key: "ffmpeg",
+    compareFields: [
+      "path",
+      "global_args",
+      "hwaccel_args",
+      "input_args",
+      "output_args",
+      "retry_interval",
+      "apple_compatibility",
+      "gpu",
+    ],
+  },
+  {
+    key: "lpr",
+    compareFields: ["enabled", "min_area", "enhancement"],
+  },
+];
+
 /**
  * Hook to get all overridden fields for a camera
  */
@@ -221,47 +264,7 @@ export function useAllCameraOverrides(
 
     const overriddenSections: string[] = [];
 
-    // Check each section that can be overridden
-    const sectionsToCheck: Array<{
-      key: string;
-      compareFields?: string[];
-    }> = [
-      { key: "detect" },
-      { key: "record" },
-      { key: "snapshots" },
-      { key: "motion" },
-      { key: "objects" },
-      { key: "review" },
-      { key: "audio" },
-      { key: "notifications" },
-      { key: "live" },
-      { key: "timestamp_style" },
-      {
-        key: "audio_transcription",
-        compareFields: ["enabled", "live_enabled"],
-      },
-      { key: "birdseye", compareFields: ["enabled", "mode"] },
-      { key: "face_recognition", compareFields: ["enabled", "min_area"] },
-      {
-        key: "ffmpeg",
-        compareFields: [
-          "path",
-          "global_args",
-          "hwaccel_args",
-          "input_args",
-          "output_args",
-          "retry_interval",
-          "apple_compatibility",
-          "gpu",
-        ],
-      },
-      {
-        key: "lpr",
-        compareFields: ["enabled", "min_area", "enhancement"],
-      },
-    ];
-
-    for (const { key, compareFields } of sectionsToCheck) {
+    for (const { key, compareFields } of OVERRIDABLE_SECTIONS) {
       const globalValue = normalizeConfigValue(get(config, key));
       const cameraValue = normalizeConfigValue(
         getBaseCameraSectionValue(config, cameraName, key),
@@ -286,3 +289,252 @@ export function useAllCameraOverrides(
     return overriddenSections;
   }, [config, cameraName]);
 }
+
+export interface FieldDelta {
+  /** Path relative to the section (e.g. "genai.enabled") */
+  fieldPath: string;
+  globalValue: unknown;
+  cameraValue: unknown;
+  /** Profile name when the override originates from a profile; undefined for camera-level overrides */
+  profileName?: string;
+}
+
+export interface CameraOverrideEntry {
+  camera: string;
+  fieldDeltas: FieldDelta[];
+}
+
+/**
+ * Collect leaf-level field differences between a global section value
+ * and a camera section value. When compareFields is provided, only those
+ * paths are compared; otherwise the objects are walked recursively.
+ */
+function collectFieldDeltas(
+  globalValue: JsonValue,
+  cameraValue: JsonValue,
+  compareFields?: string[],
+  pathPrefix = "",
+): FieldDelta[] {
+  if (compareFields) {
+    if (compareFields.length === 0) {
+      return [];
+    }
+    const deltas: FieldDelta[] = [];
+    for (const path of compareFields) {
+      const g = get(globalValue, path);
+      const c = get(cameraValue, path);
+      if (!isEqual(g, c)) {
+        deltas.push({ fieldPath: path, globalValue: g, cameraValue: c });
+      }
+    }
+    return deltas;
+  }
+
+  if (isJsonObject(globalValue) && isJsonObject(cameraValue)) {
+    const deltas: FieldDelta[] = [];
+    const keys = new Set([
+      ...Object.keys(globalValue),
+      ...Object.keys(cameraValue),
+    ]);
+    for (const key of keys) {
+      const g = (globalValue as JsonObject)[key];
+      const c = (cameraValue as JsonObject)[key];
+      if (isEqual(g, c)) continue;
+      const childPath = pathPrefix ? `${pathPrefix}.${key}` : key;
+      if (isJsonObject(g) && isJsonObject(c)) {
+        deltas.push(...collectFieldDeltas(g, c, undefined, childPath));
+      } else {
+        deltas.push({ fieldPath: childPath, globalValue: g, cameraValue: c });
+      }
+    }
+    return deltas;
+  }
+
+  if (!isEqual(globalValue, cameraValue)) {
+    return [{ fieldPath: pathPrefix, globalValue, cameraValue }];
+  }
+  return [];
+}
+
+/**
+ * Walk a partial config object and return the dot-paths of every leaf value
+ * (primitive or array) actually defined on it. Used to limit profile-vs-global
+ * diffs to keys the profile actually sets, avoiding false "undefined" deltas
+ * for fields the profile leaves unspecified.
+ */
+function collectDefinedLeafPaths(value: JsonValue, prefix = ""): string[] {
+  if (!isJsonObject(value)) {
+    return prefix ? [prefix] : [];
+  }
+  const paths: string[] = [];
+  for (const [key, val] of Object.entries(value as JsonObject)) {
+    const childPath = prefix ? `${prefix}.${key}` : key;
+    if (isJsonObject(val)) {
+      paths.push(...collectDefinedLeafPaths(val as JsonValue, childPath));
+    } else {
+      paths.push(childPath);
+    }
+  }
+  return paths;
+}
+
+function isPathAllowed(path: string, compareFields?: string[]): boolean {
+  if (!compareFields) return true;
+  return compareFields.some(
+    (allowed) => path === allowed || path.startsWith(`${allowed}.`),
+  );
+}
+
+/**
+ * Some Frigate sections (notably `motion`) are dumped by the backend with
+ * `exclude_unset=True`, so when the user hasn't explicitly written the section
+ * in their global YAML the API returns null even though every camera still
+ * gets defaults applied at runtime. To still detect cross-camera differences
+ * in those sections we synthesize a baseline by taking the modal (most common)
+ * value at each leaf path across cameras — cameras whose value diverges from
+ * the modal are treated as overriding.
+ */
+function deriveSyntheticGlobalValue(
+  cameraSectionValues: JsonValue[],
+  compareFields?: string[],
+): JsonObject {
+  const cameras = cameraSectionValues.filter(isJsonObject) as JsonObject[];
+  if (cameras.length === 0) return {};
+
+  const allPaths = new Set<string>();
+  for (const cam of cameras) {
+    for (const path of collectDefinedLeafPaths(cam as JsonValue)) {
+      if (!isPathAllowed(path, compareFields)) continue;
+      allPaths.add(path);
+    }
+  }
+
+  const baseline: JsonObject = {};
+  for (const path of allPaths) {
+    const counts = new Map<string, { value: unknown; count: number }>();
+    for (const cam of cameras) {
+      const v = get(cam, path);
+      const key = JSON.stringify(v ?? null);
+      const existing = counts.get(key);
+      if (existing) {
+        existing.count += 1;
+      } else {
+        counts.set(key, { value: v, count: 1 });
+      }
+    }
+    let modal: { value: unknown; count: number } | undefined;
+    for (const entry of counts.values()) {
+      if (!modal || entry.count > modal.count) modal = entry;
+    }
+    if (modal) {
+      set(baseline, path, modal.value);
+    }
+  }
+  return baseline;
+}
+
+/**
+ * Paths that are intentionally hidden from the cross-camera override summary
+ * because they're inherently per-camera (mask polygons, zone definitions) and
+ * would otherwise dominate the popover with noise. Excludes any path where
+ * `mask` appears as a path segment, so nested keys under a mask dict (e.g.
+ * `mask.global_object_mask_1.coordinates`) are also filtered.
+ */
+function isCrossCameraIgnoredPath(path: string): boolean {
+  if (!path) return false;
+  return path.split(".").includes("mask");
+}
+
+/**
+ * Hook to find every camera that overrides a given global section. Returns
+ * one entry per overriding camera with the specific field-level deltas.
+ * Considers both the camera's own (pre-profile) section value and any of its
+ * defined profiles, so a field overridden only inside a profile still surfaces.
+ *
+ * @example
+ * ```tsx
+ * const entries = useCamerasOverridingSection(config, "review");
+ * // [{ camera: "front_door", fieldDeltas: [{ fieldPath: "genai.enabled", ... }] }]
+ * ```
+ */
+export function useCamerasOverridingSection(
+  config: FrigateConfig | undefined,
+  sectionPath: string,
+): CameraOverrideEntry[] {
+  return useMemo(() => {
+    if (!config?.cameras || !sectionPath) {
+      return [];
+    }
+
+    const sectionMeta = OVERRIDABLE_SECTIONS.find((s) => s.key === sectionPath);
+    const compareFields = sectionMeta?.compareFields;
+
+    const cameraNames = Object.keys(config.cameras);
+    const cameraSectionValues = cameraNames.map((name) =>
+      normalizeConfigValue(
+        getBaseCameraSectionValue(config, name, sectionPath),
+      ),
+    );
+
+    const rawGlobalValue = get(config, sectionPath);
+    const globalValue: JsonValue =
+      rawGlobalValue == null
+        ? deriveSyntheticGlobalValue(cameraSectionValues, compareFields)
+        : normalizeConfigValue(rawGlobalValue);
+
+    const entries: CameraOverrideEntry[] = [];
+    for (let idx = 0; idx < cameraNames.length; idx += 1) {
+      const cameraName = cameraNames[idx];
+      const cameraConfig = config.cameras[cameraName];
+      const deltasByPath = new Map<string, FieldDelta>();
+
+      // 1. Camera-level overrides (uses base_config when a profile is active)
+      const cameraValue = cameraSectionValues[idx];
+      for (const delta of collectFieldDeltas(
+        globalValue,
+        cameraValue,
+        compareFields,
+      )) {
+        if (isCrossCameraIgnoredPath(delta.fieldPath)) continue;
+        deltasByPath.set(delta.fieldPath, delta);
+      }
+
+      // 2. Profile-level overrides — diff only the paths each profile actually
+      // defines, so unspecified-in-profile fields don't register as deltas.
+      const profiles = cameraConfig?.profiles ?? {};
+      for (const profileName of Object.keys(profiles)) {
+        const profileSection = (
+          profiles[profileName] as Record<string, unknown> | undefined
+        )?.[sectionPath];
+        if (profileSection === undefined) continue;
+        const normalizedProfile = normalizeConfigValue(
+          profileSection as JsonValue,
+        );
+        for (const path of collectDefinedLeafPaths(normalizedProfile)) {
+          if (deltasByPath.has(path)) continue;
+          if (isCrossCameraIgnoredPath(path)) continue;
+          if (!isPathAllowed(path, compareFields)) continue;
+          const g = get(globalValue, path);
+          const p = get(normalizedProfile, path);
+          if (!isEqual(g, p)) {
+            deltasByPath.set(path, {
+              fieldPath: path,
+              globalValue: g,
+              cameraValue: p,
+              profileName,
+            });
+          }
+        }
+      }
+
+      if (deltasByPath.size > 0) {
+        entries.push({
+          camera: cameraName,
+          fieldDeltas: Array.from(deltasByPath.values()),
+        });
+      }
+    }
+
+    return entries;
+  }, [config, sectionPath]);
+}

web/src/views/settings/SingleSectionPage.tsx

@@ -2,6 +2,7 @@ import { useCallback, useMemo, useState } from "react";
 import { useTranslation } from "react-i18next";
 import type { SectionConfig } from "@/components/config-form/sections";
 import { ConfigSectionTemplate } from "@/components/config-form/sections";
+import { CameraOverridesBadge } from "@/components/config-form/sections/CameraOverridesBadge";
 import type { PolygonType } from "@/types/canvas";
 import { Badge } from "@/components/ui/badge";
 import {
@@ -167,6 +168,9 @@ export function SingleSectionPage({
           </div>
           {/* Desktop: badge inline next to title */}
           <div className="hidden shrink-0 sm:flex sm:flex-wrap sm:items-center sm:gap-2">
+            {level === "global" && showOverrideIndicator && (
+              <CameraOverridesBadge sectionPath={sectionKey} />
+            )}
             {level === "camera" &&
               showOverrideIndicator &&
               sectionStatus.isOverridden && (
@@ -224,6 +228,9 @@ export function SingleSectionPage({
         </div>
         {/* Mobile: badge below title/description */}
         <div className="flex flex-wrap items-center gap-2 sm:hidden">
+          {level === "global" && showOverrideIndicator && (
+            <CameraOverridesBadge sectionPath={sectionKey} />
+          )}
           {level === "camera" &&
             showOverrideIndicator &&
             sectionStatus.isOverridden && (