[Support]: Getting the occasional "Error saving preview for [insert camera]" in log.

[biggen1684]

Describe the problem you are having

Occasionally, I'll get these error messages in the log file posted below. They are VERY INFREQUENT. Not exactly sure what the issues is though or what's causing it. It's not always the same camera either.

Version

0.17.1-416a9b7

What browser(s) are you using?

Brave 1.88.138

Frigate config file

tls:
  enabled: false

mqtt:
  enabled: true
  host: 10.200.200.20 # MQTT Broker is running on HA server
  user: x
  password: x
  topic_prefix: frigate


detectors: # <---- add detectors
  ov:
    type: openvino  # <---- use openvino detector
    device: NPU # USE NPU for object detection

database:
  path: /config/frigate.db # Store DB on local disk rather than NAS for faster access

model:
  path: plus://bc191a4a76722ab74c765c140b87cb8b # Custom Frigate+ Yolo9s 320x320 openvino model 

genai: # Local inferencing using llama.cpp. Docker compose file shows server address
  provider: openai
  api_key: nokey
  #model: gemma-4-E4B-it
  model: Qwen3.5-9B-GGUF
  provider_options:
    context_size: 16384

lpr:
  enabled: true # LPR must be enabled globablly like all enrichments
  device: CPU # CPU works better than GPU

semantic_search:
  enabled: true
  model_size: large # Jina Large Model
  device: GPU # Large model requires the iGPU

cameras:
  sidewalk_camera:
    enabled: true
    lpr:
      enabled: false # Must disable LPR for cameras we don't wish to use it on
    ffmpeg:
      inputs:
        - path: 
            rtsp://admin:x@10.200.200.7:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
          roles:
            - record
            - audio
        - path: 
            rtsp://admin:x@10.200.200.7:554/cam/realmonitor?channel=1&subtype=2&unicast=true&proto=Onvif
          roles:
            - detect
      hwaccel_args: preset-intel-qsv-h265 # Use h265 for h265 streams and h264 for h264 streams for Intel 13th Gen+ CPUs
    live:
      streams:
        Stream 1: sidewalk_camera_1
        Stream 2: sidewalk_camera_2
    motion:
      mask: 
        0.723,0,0.746,0.221,0.766,0.338,0.709,0.423,0.592,0.466,0.536,0.671,0.733,1,1,1,1,0
      threshold: 30
      contour_area: 10
      improve_contrast: true
    zones:
      lawn_zone:
        coordinates: 0.152,0.741,0.185,0.926,0.505,0.809,0.476,0.636
        loitering_time: 0
        objects:
          - person
          - bicycle
        inertia: 3
      road_and_sidewalk_zone:
        coordinates: 0.104,0.225,0.132,0.478,0.603,0.356,0.486,0.172,0.337,0.182
        loitering_time: 0
        inertia: 3
    detect:
      enabled: true # turns on object detection.  Necessary to detect objects
    record:
      enabled: true
      continuous:
        days: 7 # days to keep continuous recording
      alerts:
        pre_capture: 2 # 2 second pre capture of alert
        post_capture: 2 # 2 second post capture of alert
        retain:
          days: 7 # retain alerts for 7 day
          mode: active_objects # Save alerts only for active objects listed
    review:
      alerts:
        enabled: true # Enables revewiable alerts
        labels:
          - person
          - bicycle
        required_zones: lawn_zone # Alert is only created when above label moves into these zones
      detections:
        required_zones: road_and_sidewalk_zone
    objects:
      track:
        - person
        - bicycle
        - car
        - motorcycle
      filters:
        person:
          min_score: 0.4 # Lower scores here slightly from default to not miss people
          threshold: 0.6
      genai: # Test Genai features beginning block
        enabled: true
        prompt: Analyze the sequence of images containing the {label}. Focus on 
          the likely intent or behavior of the {label} based on its actions and 
          movement, rather than describing its appearance or the surroundings. 
          Consider what the {label} is doing, why, and what it might do next.
        object_prompts:
          person: Examine the person or persons in these images. What are they 
            doing and what might their actions suggest about their intent (e.g.,
            walking a dog, standing still, jogging, etc..)? Do not describe the 
            surroundings or static details.
        objects:
          - person
        required_zones:
          - road_and_sidewalk_zone # End block Genai Features     
      mask: 0,0.041,0,0.24,0.357,0.165,0.737,0.164,0.722,0.017,0.329,0.009
    snapshots:
      enabled: true
      clean_copy: true # For Frgate+

  driveway_camera:
    enabled: true
    lpr:
      enabled: false # Must disable LPR for cameras we don't wish to use it on
    ffmpeg:
      inputs:
        - path: 
            rtsp://admin:x@10.200.200.13:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
          roles:
            - record
            - audio
        - path: 
            rtsp://admin:x@10.200.200.13:554/cam/realmonitor?channel=1&subtype=2&unicast=true&proto=Onvif
          roles:
            - detect
      hwaccel_args: preset-intel-qsv-h264
    live:
      streams:
        Stream 1: driveway_camera_1
        Stream 2: driveway_camera_2
    motion:
      mask: 
        0.001,0,0.001,0.103,0.189,0.09,0.231,0.151,0.456,0.136,0.967,0.094,0.976,0
      threshold: 35
      contour_area: 10
      improve_contrast: true
    zones:
      driveway_zone:
        coordinates: 
          1,0.971,1,0.852,0.982,0.589,0.587,0.372,0.625,0.567,0.436,0.804,0.006,0.735,0.007,0.968
        loitering_time: 0
        objects:
          - bicycle
          - person
          - car
        inertia: 3
    detect:
      enabled: true
    record:
      enabled: true
      continuous:
        days: 7
      alerts:
        retain:
          days: 7
          mode: active_objects
    review:
      alerts:
        enabled: true
        labels:
          - person
          - bicycle
          - car
        required_zones: driveway_zone # Will only get alerts for driveway zone
      detections:
        required_zones: driveway_zone
    objects:
      track:
        - person
        - bicycle
        - car
    snapshots:
      enabled: false
      required_zones: # Will only get snapshots of alert objects inside of driveway zone.
        - driveway_zone
      retain:
        default: 7

  lpr_camera:
    type: lpr   # special type for frigate for dedicated lpr cams
    enabled: true
    friendly_name: LPR Camera
    ffmpeg:
      inputs:
        - path: 
            rtsp://admin:x@10.200.200.12:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
          roles:
            - detect
            - record
            - audio
      hwaccel_args: preset-intel-qsv-h264
    detect:
      enabled: true
      fps: 10 # Set LPR fps manually for dedicated lpr cams according to docs
      min_initialized: 2 # Docs say this is needed. Basically, Frigate needs 2 frames of the object before LPR starts
      width: 1920
      height: 1080
    objects:
      track:
        - license_plate
      filters:
        license_plate:
          threshold: 0.3
          min_score: 0.3
          min_area: 1900 # Prevents small plate from neighbor's car to constantly be detected
    record:
      enabled: true
      continuous:
        days: 7
      alerts:
        retain:
          days: 7
    review:
      detections:
        labels:
          - license_plate
    live:
      streams:
        Stream 1: lpr_camera
    motion:
      mask: 0.47,0,0.476,0.119,1,0.108,1,0
      threshold: 40
      contour_area: 10
      improve_contrast: false
    snapshots:
      enabled: false
      clean_copy: true # For Frigate+

  back_yard_camera:
    enabled: true
    detect:
      enabled: true
    objects:
      track:
        - person
        - car
      mask: 0.994,0.375,0.998,0.288,0.842,0.1,0.769,0.237
    lpr:
      enabled: false
    friendly_name: Back Yard Camera
    ffmpeg:
      inputs:
        - path: 
            rtsp://admin:x@10.200.200.6:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
          roles:
            - record
            - audio
        - path: 
            rtsp://admin:x@10.200.200.6:554/cam/realmonitor?channel=1&subtype=2&unicast=true&proto=Onvif
          roles:
            - detect
      hwaccel_args: preset-intel-qsv-h264
    live:
      streams:
        Stream 1: back_yard_camera_1
        Stream 2: back_yard_camera_2
    motion:
      mask: 0.544,0.028,0.547,0.083,0.956,0.088,0.947,0.026
      threshold: 50
      contour_area: 20
      improve_contrast: true
    zones:
      yard:
        coordinates: 
          0.075,0.477,0.01,0.976,0.811,0.98,0.964,0.486,0.755,0.337,0.446,0.383
        loitering_time: 0
        objects:
          - person
          - car
        inertia: 3
    review:
      alerts:
        enabled: true
        labels:
          - person
          - car
        required_zones: yard
    record:
      enabled: true
      continuous:
        days: 7 # days to keep continuous recording
      alerts:
        pre_capture: 2 # 2 second pre capture of alert
        post_capture: 2 # 2 second post capture of alert
        retain:
          days: 7 # retain alerts for 7 day
          mode: active_objects # Save alerts only for active objects listed
  side_lawn_camera:
    enabled: true
    detect:
      enabled: true
    objects:
      track:
        - person
    lpr:
      enabled: false
    friendly_name: Side Lawn
    ffmpeg:
      inputs:
        - path: 
            rtsp://admin:x@10.200.200.14:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
          roles:
            - record
            - audio
        - path: 
            rtsp://admin:x!@10.200.200.14:554/cam/realmonitor?channel=1&subtype=2&unicast=true&proto=Onvif
          roles:
            - detect
      hwaccel_args: preset-intel-qsv-h264
    record:  # Record only for motion when objects are detected
      enabled: true
      continuous:
        days: 0
      alerts:
        retain:
          days: 30
          mode: motion
      detections:
        retain:
          days: 30
          mode: motion
    live:
      streams:
        Stream 1: side_lawn_camera_1
        Stream 2: side_lawn_camera_2
    motion:
      threshold: 50
      contour_area: 10
      improve_contrast: true
      mask: 0.948,0,0.957,0.087,0.101,0.098,0.098,0
    zones:
      side_lawn_zone:
        coordinates: 0.258,0.361,0.425,0.896,0.907,0.732,0.535,0.31
        loitering_time: 0
        inertia: 3
    review:
      alerts:
        required_zones: side_lawn_zone
  doorbell:
    enabled: true
    ffmpeg:
      inputs:
        - path: 
            rtsp://admin:x@10.200.200.17:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
          roles:
            - record
            - audio
        - path: 
            rtsp://admin:x@10.200.200.17:554/cam/realmonitor?channel=1&subtype=1&unicast=true&proto=Onvif
          roles:
            - detect
      hwaccel_args: preset-intel-qsv-h264
    detect:
      enabled: true
    objects:
      track:
        - person
    lpr:
      enabled: false
    record:  # Record only for motion when objects are detected
      enabled: true
      continuous:
        days: 0
      alerts:
        retain:
          days: 30
          mode: motion
    live:
      streams:
        Stream 1: doorbell_1
        Stream 2: doorbell_2
    motion:
      mask: 0.609,0,0.615,0.05,1,0.042,1,0
    zones:
      front_porch_zone:
        coordinates: 0.079,0.961,0.261,0.728,0.541,0.736,0.55,0.984
        loitering_time: 0
        objects: person
    review:
      detections:
        required_zones: front_porch_zone
      alerts:
        required_zones: front_porch_zone
version: 0.17-0
go2rtc:
  streams:
    sidewalk_camera_1:
      - rtsp://admin:x@10.200.200.7:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
    sidewalk_camera_2:
      - rtsp://admin:x@10.200.200.7:554/cam/realmonitor?channel=1&subtype=2&unicast=true&proto=Onvif

    driveway_camera_1:
      - rtsp://admin:x@10.200.200.13:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
    driveway_camera_2:
      - rtsp://admin:x@10.200.200.13:554/cam/realmonitor?channel=1&subtype=2&unicast=true&proto=Onvif

    lpr_camera:
      - rtsp://admin:x@10.200.200.12:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
    back_yard_camera_1:
      - rtsp://admin:x@10.200.200.6:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
    back_yard_camera_2:
      - rtsp://admin:x@10.200.200.6:554/cam/realmonitor?channel=1&subtype=2&unicast=true&proto=Onvif

    side_lawn_camera_1:
      - rtsp://admin:x@10.200.200.14:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
    side_lawn_camera_2:
      - rtsp://admin:x@10.200.200.14:554/cam/realmonitor?channel=1&subtype=2&unicast=true&proto=Onvif

    doorbell_1:
      - rtsp://admin:x!@10.200.200.17:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif
    doorbell_2:
      - rtsp://admin:x@10.200.200.17:554/cam/realmonitor?channel=1&subtype=1&unicast=true&proto=Onvif

Relevant Frigate log output

2026-04-04 02:46:23.066399811  [INFO] Preparing Frigate...
2026-04-04 02:46:23.284769879  [INFO] Starting Frigate...
2026-04-04 02:46:25.491677007  [2026-04-04 02:46:25] frigate.util.config            INFO    : Checking if frigate config needs migration...
2026-04-04 02:46:25.518984112  [2026-04-04 02:46:25] frigate.util.config            INFO    : frigate config does not need migration...
2026-04-04 02:46:25.688898188  [2026-04-04 02:46:25] frigate.util.services          INFO    : Automatically detected vaapi hwaccel for video decoding
2026-04-04 02:46:49.724684272  [2026-04-04 02:46:49] frigate.app                    INFO    : Starting Frigate (0.17.1-416a9b7)
2026-04-04 02:46:49.820487003  [2026-04-04 02:46:49] peewee_migrate.logs            INFO    : Starting migrations
2026-04-04 02:46:49.820891310  [2026-04-04 02:46:49] peewee_migrate.logs            INFO    : There is nothing to migrate
2026-04-04 02:46:49.859142354  [2026-04-04 02:46:49] frigate.app                    INFO    : Recording process started: 1061
2026-04-04 02:46:49.881488830  [2026-04-04 02:46:49] frigate.app                    INFO    : Review process started: 1074
2026-04-04 02:46:49.882495689  [2026-04-04 02:46:49] frigate.app                    INFO    : go2rtc process pid: 128
2026-04-04 02:46:50.039326642  [2026-04-04 02:46:50] frigate.app                    INFO    : Embedding process started: 1084
2026-04-04 02:46:50.102446075  [2026-04-04 02:46:50] frigate.app                    INFO    : Output process started: 1132
2026-04-04 02:46:50.227956741  [2026-04-04 02:46:50] frigate.camera.maintainer      INFO    : Camera processor started for sidewalk_camera: 1172
2026-04-04 02:46:50.239030233  [2026-04-04 02:46:50] frigate.api.fastapi_app        INFO    : Starting FastAPI app
2026-04-04 02:46:50.350189737  [2026-04-04 02:46:50] frigate.api.fastapi_app        INFO    : FastAPI started
2026-04-04 02:46:50.352622381  [2026-04-04 02:46:50] frigate.camera.maintainer      INFO    : Capture process started for sidewalk_camera: 1255
2026-04-04 02:46:50.368957819  [2026-04-04 02:46:50] frigate.camera.maintainer      INFO    : Camera processor started for driveway_camera: 1338
2026-04-04 02:46:50.385322002  [2026-04-04 02:46:50] frigate.camera.maintainer      INFO    : Capture process started for driveway_camera: 1397
2026-04-04 02:46:50.405308674  [2026-04-04 02:46:50] frigate.camera.maintainer      INFO    : Camera processor started for lpr_camera: 1479
2026-04-04 02:46:50.422139866  [2026-04-04 02:46:50] frigate.camera.maintainer      INFO    : Capture process started for lpr_camera: 1538
2026-04-04 02:46:50.438004864  [2026-04-04 02:46:50] frigate.camera.maintainer      INFO    : Camera processor started for back_yard_camera: 1618
2026-04-04 02:46:50.482614188  [2026-04-04 02:46:50] frigate.camera.maintainer      INFO    : Capture process started for back_yard_camera: 1699
2026-04-04 02:46:50.497425418  [2026-04-04 02:46:50] frigate.camera.maintainer      INFO    : Camera processor started for side_lawn_camera: 1765
2026-04-04 02:46:50.511905733  [2026-04-04 02:46:50] frigate.camera.maintainer      INFO    : Capture process started for side_lawn_camera: 1822
2026-04-04 02:46:50.523822769  [2026-04-04 02:46:50] frigate.camera.maintainer      INFO    : Camera processor started for doorbell: 1906
2026-04-04 02:46:50.538557078  [2026-04-04 02:46:50] frigate.camera.maintainer      INFO    : Capture process started for doorbell: 1963
2026-04-04 03:00:00.346820573  [2026-04-04 03:00:00] frigate.output.preview         ERROR   : Error saving preview for driveway_camera :: [concat @ 0x5643b9765180] Impossible to open '/tmp/cache/preview_frames/preview_driveway_camera-1775270336.315416.webp'
2026-04-04 03:00:00.346823890  [in#0 @ 0x5643b9764e00] Error opening input: Invalid data found when processing input
2026-04-04 03:00:00.346824897  Error opening input file /dev/stdin.
2026-04-04 03:00:00.346825949  Error opening input files: Invalid data found when processing input
2026-04-04 15:41:20.253897  2026-04-04 03:00:00.346826763

Relevant go2rtc log output

2026-04-04 02:46:23.272328078  [INFO] Preparing new go2rtc config...
2026-04-04 02:46:23.463377675  [WARNING] Failed to convert HomeKit config to JSON, skipping cleanup
2026-04-04 02:46:23.463382045  [INFO] Starting go2rtc...
2026-04-04 02:46:23.710295777  02:46:23.709 INF go2rtc platform=linux/amd64 revision=df95ce3 version=1.9.10
2026-04-04 02:46:23.710298209  02:46:23.709 INF config path=/config/go2rtc_homekit.yml
2026-04-04 02:46:23.710301574  02:46:23.709 INF [rtsp] listen addr=:8554
2026-04-04 02:46:23.710302669  02:46:23.709 INF [api] listen addr=:1984
2026-04-04 02:46:23.710303532  02:46:23.709 INF [webrtc] listen addr=:8555
2026-04-04 02:46:33.015819592  [INFO] Starting go2rtc healthcheck service...
2026-04-04 11:39:43.494849087  11:39:43.494 INF [streams] can't add track error="wrong response on DESCRIBE"
2026-04-04 11:39:43.494912557  11:39:43.494 WRN github.com/AlexxIT/go2rtc/internal/streams/producer.go:170 > error="start from CONN state" url=rtsp://admin:x@10.200.200.7:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif

FFprobe output from your camera

Unable to at this time

Frigate stats

{"cameras":{"sidewalk_camera":{"camera_fps":5.1,"process_fps":5.1,"skipped_fps":0.0,"detection_fps":0.5,"detection_enabled":true,"pid":1172,"capture_pid":1255,"ffmpeg_pid":1305,"audio_rms":0,"audio_dBFS":0},"driveway_camera":{"camera_fps":5.1,"process_fps":5.1,"skipped_fps":0.0,"detection_fps":1.6,"detection_enabled":true,"pid":1338,"capture_pid":1397,"ffmpeg_pid":1471,"audio_rms":0,"audio_dBFS":0},"lpr_camera":{"camera_fps":10.1,"process_fps":10.1,"skipped_fps":0.0,"detection_fps":0.0,"detection_enabled":true,"pid":1479,"capture_pid":1538,"ffmpeg_pid":1612,"audio_rms":0,"audio_dBFS":0},"back_yard_camera":{"camera_fps":5.1,"process_fps":5.1,"skipped_fps":0.0,"detection_fps":0.0,"detection_enabled":true,"pid":1618,"capture_pid":1699,"ffmpeg_pid":1755,"audio_rms":0,"audio_dBFS":0},"side_lawn_camera":{"camera_fps":5.1,"process_fps":5.1,"skipped_fps":0.0,"detection_fps":0.0,"detection_enabled":true,"pid":1765,"capture_pid":1822,"ffmpeg_pid":1898,"audio_rms":0,"audio_dBFS":0},"doorbell":{"camera_fps":5.1,"process_fps":5.1,"skipped_fps":0.0,"detection_fps":5.0,"detection_enabled":true,"pid":1906,"capture_pid":1963,"ffmpeg_pid":2013,"audio_rms":0,"audio_dBFS":0}},"detectors":{"ov":{"inference_speed":11.48,"detection_start":0.0,"pid":1122}},"camera_fps":35.6,"process_fps":35.6,"skipped_fps":0.0,"detection_fps":7.1,"embeddings":{"image_embedding_speed":83.43,"image_embedding":0.1,"text_embedding_speed":262.76,"text_embedding":0.0,"plate_recognition_speed":41.08,"plate_recognition":0.0,"object_description_speed":20705.0,"object_description_events_per_second":0.0},"gpu_usages":{"intel-qsv":{"gpu":"0.0%","mem":"-%","clients":{"2013":"0.02%","1084":"0.0%","1122":"0.0%","1305":"0.0%","1471":"0.0%","1612":"0.0%","1755":"0.0%","1898":"0.0%"}}},"cpu_usages":{"frigate.full_system":{"cpu":"4.8","mem":"72.1"},"1":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"/package/admin/s6/command/s6-svscan -d4 -- /run/service"},"17":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"s6-supervise s6-linux-init-shutdownd"},"18":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"/package/admin/s6-linux-init/command/s6-linux-init-shutdownd -d3 -c /run/s6/basedir -g 3000 -C -B"},"27":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"s6-supervise nginx-log"},"28":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"s6-supervise s6rc-oneshot-runner"},"29":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"s6-supervise go2rtc-log"},"30":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"s6-supervise frigate"},"31":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"s6-supervise certsync"},"32":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"s6-supervise s6rc-fdholder"},"33":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"s6-supervise go2rtc-healthcheck"},"34":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"s6-supervise 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process"},"404":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"bash ./run.user certsync"},"435":{"cpu":"0.0","cpu_average":"0","mem":"0.0","cmdline":"/usr/bin/python3 -Wignore:::numpy.core.getlimits -c from multiprocessing.resource_tracker import main;main(5)"},"436":{"cpu":"0.0","cpu_average":"0","mem":"0.3","cmdline":"/usr/bin/python3 -Wignore:::numpy.core.getlimits -c from multiprocessing.forkserver import main; main(5, 7, ['sqlite3', 'numpy', 'cv2', 'peewee', 'zmq', 'ruamel.yaml', 'frigate.camera.maintainer'], **{'sys_path': ['/opt/frigate', '/usr/lib/python311.zip', '/usr/lib/python3.11', '/usr/lib/python3.11/lib-dynload', '/usr/local/lib/python3.11/dist-packages', '/usr/lib/python3/dist-packages']})"},"463":{"cpu":"1.5","cpu_average":"1","mem":"0.3","cmdline":"/usr/bin/python3 -Wignore:::numpy.core.getlimits -c from multiprocessing.forkserver import main; main(5, 7, ['sqlite3', 'numpy', 'cv2', 'peewee', 'zmq', 'ruamel.yaml', 'frigate.camera.maintainer'], **{'sys_path': ['/opt/frigate', '/usr/lib/python311.zip', '/usr/lib/python3.11', '/usr/lib/python3.11/lib-dynload', '/usr/local/lib/python3.11/dist-packages', '/usr/lib/python3/dist-packages']})"},"1061":{"cpu":"2.6","cpu_average":"3","mem":"1.0","cmdline":"frigate.recording_manager                                                                                                                                                                                                                                                                                                                                                                               "},"1074":{"cpu":"0.6","cpu_average":"0","mem":"0.4","cmdline":"frigate.review_segment_manager                                                                                                                                                                                                                                                                                                                                                                          "},"1084":{"cpu":"1.1","cpu_average":"3","mem":"14.9","cmdline":"frigate.embeddings_manager                                                                                                                                                                                                                                                                                                                                                                              "},"1122":{"cpu":"1.1","cpu_average":"0","mem":"0.4","cmdline":"frigate.detector:ov                                                                                                                                                                                                                                                                                                                                                                                     "},"1132":{"cpu":"1.6","cpu_average":"1","mem":"0.5","cmdline":"frigate.output                                                                                                                                                                                                                                                                                                                                                                                          "},"1172":{"cpu":"1.2","cpu_average":"2","mem":"0.5","cmdline":"frigate.process:sidewalk_camera                                                                                                                                                                                                                                                                                                                                                                         "},"1255":{"cpu":"0.9","cpu_average":"0","mem":"0.4","cmdline":"frigate.capture:sidewalk_camera                                                                                                                                                                                                                                                                                                                                                                         "},"1305":{"cpu":"1.6","cpu_average":"1","mem":"0.2","cmdline":"/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -loglevel warning -threads 2 -load_plugin hevc_hw -hwaccel qsv -qsv_device /dev/dri/renderD128 -hwaccel_output_format qsv -bsf:v dump_extra -user_agent FFmpeg Frigate/0.17.1-416a9b7 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -timeout 10000000 -use_wallclock_as_timestamps 1 -i rtsp://*:*@10.200.200.7:554/cam/realmonitor?channel=1&subtype=2&unicast=true&proto=Onvif -r 5 -vf vpp_qsv=framerate=5:w=1280:h=720:format=nv12,hwdownload,format=nv12,format=yuv420p -threads 2 -f rawvideo -pix_fmt yuv420p pipe:"},"1332":{"cpu":"2.1","cpu_average":"2","mem":"0.2","cmdline":"/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -loglevel warning -threads 2 -user_agent FFmpeg Frigate/0.17.1-416a9b7 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -timeout 10000000 -use_wallclock_as_timestamps 1 -i rtsp://*:*@10.200.200.7:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c:v copy -c:a aac /tmp/cache/sidewalk_camera@%Y%m%d%H%M%S%z.mp4"},"1338":{"cpu":"3.0","cpu_average":"4","mem":"0.5","cmdline":"frigate.process:driveway_camera                                                                                                                                                                                                                                                                                                                                                                         "},"1397":{"cpu":"1.0","cpu_average":"0","mem":"0.4","cmdline":"frigate.capture:driveway_camera                                                                                                                                                                                                                                                                                                                                                                         "},"1471":{"cpu":"1.7","cpu_average":"1","mem":"0.2","cmdline":"/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -loglevel warning -threads 2 -hwaccel qsv -qsv_device /dev/dri/renderD128 -hwaccel_output_format qsv -c:v h264_qsv -bsf:v dump_extra -user_agent FFmpeg Frigate/0.17.1-416a9b7 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -timeout 10000000 -use_wallclock_as_timestamps 1 -i rtsp://*:*@10.200.200.13:554/cam/realmonitor?channel=1&subtype=2&unicast=true&proto=Onvif -r 5 -vf vpp_qsv=framerate=5:w=1280:h=720:format=nv12,hwdownload,format=nv12,format=yuv420p -threads 2 -f rawvideo -pix_fmt yuv420p pipe:"},"1478":{"cpu":"1.9","cpu_average":"1","mem":"0.1","cmdline":"/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -loglevel warning -threads 2 -user_agent FFmpeg Frigate/0.17.1-416a9b7 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -timeout 10000000 -use_wallclock_as_timestamps 1 -i rtsp://*:*@10.200.200.13:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c:v copy -c:a aac /tmp/cache/driveway_camera@%Y%m%d%H%M%S%z.mp4"},"1479":{"cpu":"1.1","cpu_average":"2","mem":"0.7","cmdline":"frigate.process:lpr_camera                                                                                                                                                                                                                                                                                                                                                                              "},"1538":{"cpu":"3.5","cpu_average":"3","mem":"0.4","cmdline":"frigate.capture:lpr_camera                                                                                                                                                                                                                                                                                                                                                                              "},"1612":{"cpu":"6.8","cpu_average":"6","mem":"0.4","cmdline":"/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -loglevel warning -threads 2 -hwaccel qsv -qsv_device /dev/dri/renderD128 -hwaccel_output_format qsv -c:v h264_qsv -bsf:v dump_extra -user_agent FFmpeg Frigate/0.17.1-416a9b7 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -timeout 10000000 -use_wallclock_as_timestamps 1 -i rtsp://*:*@10.200.200.12:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c:v copy -c:a aac /tmp/cache/lpr_camera@%Y%m%d%H%M%S%z.mp4 -r 10 -vf vpp_qsv=framerate=10:w=1920:h=1080:format=nv12,hwdownload,format=nv12,format=yuv420p -threads 2 -f rawvideo -pix_fmt yuv420p pipe:"},"1618":{"cpu":"0.8","cpu_average":"0","mem":"0.4","cmdline":"frigate.process:back_yard_camera                                                                                                                                                                                                                                                                                                                                                                        "},"1699":{"cpu":"0.8","cpu_average":"0","mem":"0.4","cmdline":"frigate.capture:back_yard_camera                                                                                                                                                                                                                                                                                                                                                                        "},"1755":{"cpu":"1.6","cpu_average":"1","mem":"0.2","cmdline":"/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -loglevel warning -threads 2 -hwaccel qsv -qsv_device /dev/dri/renderD128 -hwaccel_output_format qsv -c:v h264_qsv -bsf:v dump_extra -user_agent FFmpeg Frigate/0.17.1-416a9b7 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -timeout 10000000 -use_wallclock_as_timestamps 1 -i rtsp://*:*@10.200.200.6:554/cam/realmonitor?channel=1&subtype=2&unicast=true&proto=Onvif -r 5 -vf vpp_qsv=framerate=5:w=1280:h=720:format=nv12,hwdownload,format=nv12,format=yuv420p -threads 2 -f rawvideo -pix_fmt yuv420p pipe:"},"1764":{"cpu":"2.1","cpu_average":"2","mem":"0.1","cmdline":"/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -loglevel warning -threads 2 -user_agent FFmpeg Frigate/0.17.1-416a9b7 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -timeout 10000000 -use_wallclock_as_timestamps 1 -i rtsp://*:*@10.200.200.6:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c:v copy -c:a aac /tmp/cache/back_yard_camera@%Y%m%d%H%M%S%z.mp4"},"1765":{"cpu":"0.8","cpu_average":"0","mem":"0.4","cmdline":"frigate.process:side_lawn_camera                                                                                                                                                                                                                                                                                                                                                                        "},"1822":{"cpu":"0.9","cpu_average":"0","mem":"0.4","cmdline":"frigate.capture:side_lawn_camera                                                                                                                                                                                                                                                                                                                                                                        "},"1898":{"cpu":"1.6","cpu_average":"1","mem":"0.2","cmdline":"/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -loglevel warning -threads 2 -hwaccel qsv -qsv_device /dev/dri/renderD128 -hwaccel_output_format qsv -c:v h264_qsv -bsf:v dump_extra -user_agent FFmpeg Frigate/0.17.1-416a9b7 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -timeout 10000000 -use_wallclock_as_timestamps 1 -i rtsp://*:*@10.200.200.14:554/cam/realmonitor?channel=1&subtype=2&unicast=true&proto=Onvif -r 5 -vf vpp_qsv=framerate=5:w=1280:h=720:format=nv12,hwdownload,format=nv12,format=yuv420p -threads 2 -f rawvideo -pix_fmt yuv420p pipe:"},"1904":{"cpu":"2.0","cpu_average":"1","mem":"0.1","cmdline":"/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -loglevel warning -threads 2 -user_agent FFmpeg Frigate/0.17.1-416a9b7 -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -timeout 10000000 -use_wallclock_as_timestamps 1 -i rtsp://*:*@10.200.200.14:554/cam/realmonitor?channel=1&subtype=0&unicast=true&proto=Onvif -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c:v copy -c:a aac /tmp/cache/side_lawn_camera@%Y%m%d%H%M%S%z.mp4"},"1906":{"cpu":"3.2","cpu_average":"1","mem":"0.4","cmdline":"frigate.process:doorbell                                                                                                                                                                                                                                                                                                                                                                                "},"1963":{"cpu":"0.5","cpu_average":"0","mem":"0.3","cmdline":"frigate.capture:doorbell                                                                                                                                                                                                                                                                                                                                                                                "},"2013":{"cpu":"1.5","cpu_average":"1","mem":"0.2","cmdline":"/usr/lib/ffmpeg/7.0/bin/ffmpeg -hide_banner -loglevel warning -threads 2 -hwaccel qsv -qsv_device /dev/dri/renderD128 -hwaccel_output_format qsv -c:v h264_qsv -bsf:v dump_extra -user_agent FFmpeg Frigate/0.17.1-416a9b7 -avoid_negative_ts make_zero 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30s"}},"npu_usages":{"openvino":{"npu":"21.39","mem":"-"}},"service":{"uptime":47291,"version":"0.17.1-416a9b7","latest_version":"0.17.1","storage":{"/media/frigate/recordings":{"total":15007525.6,"used":2242763.1,"free":12764762.5,"mount_type":"cifs"},"/media/frigate/clips":{"total":15007525.6,"used":2242763.1,"free":12764762.5,"mount_type":"cifs"},"/tmp/cache":{"total":953.7,"used":191.5,"free":762.2,"mount_type":"tmpfs"},"/dev/shm":{"total":512.0,"used":294.8,"free":217.2,"mount_type":"tmpfs","available":462.0,"camera_frame_size":13.7,"shm_frame_count":33,"min_shm":324}},"temperatures":{},"last_updated":1775318101},"processes":{"recording":{"pid":1061},"review_segment":{"pid":1074},"go2rtc":{"pid":128},"embeddings":{"pid":1084}}}

Install method

Docker Compose

docker-compose file or Docker CLI command

services:
  frigate:
    environment:
      PLUS_API_KEY: "redacted"
      OPENAI_BASE_URL: "http://10.200.200.5:8001/v1"
    container_name: frigate
    restart: unless-stopped
    stop_grace_period: 30s
    image: ghcr.io/blakeblackshear/frigate:stable
    cap_add:
      - CAP_PERFMON
    devices:
      - /dev/dri/renderD128:/dev/dri/renderD128 # Intel GPU
      - /dev/accel:/dev/accel # Intel NPU
    shm_size: "512m"
    volumes:
      - ./config:/config
      - nas-share:/media/frigate
      - type: tmpfs # 1GB In-memory filesystem for recording segment storage
        target: /tmp/cache
        tmpfs:
          size: 1000000000
    ports:
      - "8971:8971"
      - "8554:8554" # RTSP feeds
volumes: # Map NAS share here instead of on host
  nas-share:
    driver_opts:
      type: cifs
      o: username=joe,password=x,uid=1000,gid=1000
      device: //10.200.200.21/Frigate_Storage

Object Detector

OpenVino

Network connection

Wired

Camera make and model

Dahua. Multiple models

Screenshots of the Frigate UI's System metrics pages

Any other information that may be helpful

No response

[inkeep-ai-assistant[bot]]

The error you're seeing indicates that Frigate couldn't find a preview frame file when trying to generate the preview GIF for the driveway_camera:

Error saving preview for driveway_camera :: [concat @ 0x5643b9765180] Impossible to open '/tmp/cache/preview_frames/preview_driveway_camera-1775270336.315416.webp'

This is a transient issue where the preview frame file was expected but not found in the /tmp/cache directory at the time FFmpeg tried to concatenate it into a GIF. (1)

Since you're using a CIFS network share for your recordings storage and a 1GB tmpfs for /tmp/cache, there are a few potential causes:

1. Cache timing/cleanup race condition
Preview frames are written to /tmp/cache before being processed. If the recording maintainer or another process cleans up files before the preview generation completes, this error can occur. (1)

2. Disk I/O latency
You're using a CIFS mount for your media storage. Some users have found that network shares can introduce latency issues. Using NFS instead of SMB/CIFS has been reported to decrease copy times and improve reliability. (1)

3. Insufficient tmpfs size
Your 1GB tmpfs allocation for /tmp/cache should generally be adequate for 7 cameras, but during periods of high activity across multiple cameras, the cache could fill up and cause files to be purged prematurely. (2)

Since the error is very infrequent and doesn't affect different cameras consistently, this is likely a race condition during periods of high activity. You can try:

• Enabling debug logging for the recording maintainer to see copy times:

logger:
  logs:
    frigate.record.maintainer: debug

(1)

• Monitoring if the errors correlate with high activity periods or network latency spikes to your NAS

If the errors remain infrequent and don't impact your recordings or reviews, they're generally safe to ignore.

📚 Sources:

1. Recordings Errors
2. Installation

---

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[biggen1684]

Responding to the AI, I'm writing to a UGreen NAS and there are issues writing to a Ugreen NAS currently using NFS. It will set write permissions on the NAS to 0000 at random times so that no one can write anything to it. It's a documented issue by several Reddit users so I'm forced to use CIFS to write to it instead which avoids this issue.