[Config Support]: 24 hour recording and constant snapshot

[manish-patel]

Describe the problem you are having

I am currently get only less than 1 day of recording. my media folder is recoring all the time every 10 seconds in each camera folder such as /root/docker/frigate/media/recordings/2025-10-01/08/doorbell/

i am getting many webp files in /root/docker/frigate/media/clips/review for each camera and also in the root folder.

I am only wanting motion as I can record than 10 hours before my old recordings get wiped.

I have tried adjusting he camera down buy no luck

I even deleted my db to start from fresh and same issue.

Version

0.16.1-e664cb2

Frigate config file

mqtt:
  enabled: true
  host: 192.168.0.IP
  user: mqttusername
  password: password
  port: 1883
  topic_prefix: frigate
  client_id: frigate
  stats_interval: 60


logger:
  default: info
  # logs:
  #   frigate.comms.mqtt: debug
  #   frigate.app: debug
  #   frigate.object_detection: debug
  #   frigate.detector.onnx: debug
  #   frigate.ffmpeg: debug



objects:
  track:
    - person
    - cat
    - dog
    - car
    - license_plate
    - package

review:
  alerts:
    labels:
      - car
      - bicycle
      - motorcycle
      - bus
      - person
      - cat
      - dog
      - package
# audio:
#   listen:
#     - fire_alarm
#     - scream
#     - speech
#     - whispering
#     - run
#     - car_alarm
#     - emergency_vehicle
#     - bang
#     - smash

ffmpeg:
  hwaccel_args: preset-nvidia-h264

go2rtc:
  streams:

    front-right:
      - rtsp://adminuser:[email protected]/ch0_0.h264
    front-right_sub:
      - rtsp://adminuser:[email protected]:554/Streaming/Channels/102/

    rear-right:
      - rtsp://adminuser:[email protected]:554/Streaming/Channels/101/
    rear-right_sub:
      - rtsp://adminuser:[email protected]:554/Streaming/Channels/102/

    rear-left:
      - rtsp://adminuser:[email protected]:554/Streaming/Channels/101/
    rear-left_sub:
      - rtsp://adminuser:[email protected]:554/Streaming/Channels/102/

    yi:
      - rtsp://adminuser:[email protected]/ch0_0.h264
    yi-sub:
      - rtsp://adminuser:[email protected]/ch0_1.h264

    doorbell:
      - ffmpeg:http://192.168.0.43/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=adminuser&password=PASSWORDu#video=copy#audio=copy#audio=opus
      - rtsp://192.168.0.43/Preview_01_sub
    doorbell_sub:
      - ffmpeg:http://192.168.0.43/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=adminuser&password=PASSWORDu

    pyronix:
      - rtsp://adminuser:[email protected]:554/Streaming/Channels/101/
    pyronix_sub:
      - rtsp://adminuser:[email protected]:554/Streaming/Channels/102/

    pyronix360:
      - rtsp://adminuser:[email protected]:554/Streaming/Channels/101/
    pyronix360_sub:
      - rtsp://adminuser:[email protected]:554/Streaming/Channels/102/

record:
  enabled: true
  sync_recordings: true
  retain:
    days: 14
  alerts:
    pre_capture: 15
    post_capture: 15
    retain:
      days: 30
      mode: motion
  # detections:
  #   pre_capture: 15
  #   post_capture: 15
  #   retain:
  #     days: 30
  #     mode: motion

snapshots:
  enabled: true
  clean_copy: true
  timestamp: false
  bounding_box: true
  quality: 100

semantic_search:
  enabled: true
  #reindex: true
  model_size: large

face_recognition:
  enabled: true
  model_size: large
  unknown_score: 0.8          #default 0.8, matches at or below this number get marked as unknown
  recognition_threshold: 0.95 #default 0.9, above this number is applied to the person object
  min_faces: 2                #default 1, min face recognitions for the sub label to be applied to the person object
  save_attempts: 250          #default 100, number of images of recognized faces to save for training
  min_area: 1000            # ignore tiny blurry faces (pixels) that cause bad embeddings



lpr:
  enabled: true
  device: GPU
  model_size: small
  enhancement: 4
  debug_save_plates: true
  min_area: 1500 # Ignore plates with an area (length x width) smaller than 1500 pixels
  min_plate_length: 4 # Only recognize plates with 4 or more characters
  known_plates:
    Wife's Car:
      - YE16 JYW
      - YEI6 JYW
      - YE16 JYW-  # Accounts for potential confusion between the number one (1) and capital letter I
    Ellas's Car:
      - DS19 DPX
      - DSI9 DPX   # Accounts for potential confusion between the number one (1) and capital letter I
      - DS19DPX   # Accounts for potential confusion between the number one (1) and capital letter I
      - DSI9DPX   # Accounts for potential confusion between the number one (1) and capital letter I

classification:
  bird:
    enabled: false


cameras:
  front-right: # <------ Name the camera
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/front-right?video
          #input_args: preset-rtsp-restream
          roles:
            - record
        - path: rtsp://127.0.0.1:8554/front-right_sub?video
          #input_args: preset-rtsp-restream
          roles:
            - detect
    live:
      streams:
        front-right: front-right
    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 640 # <---- update for your camera's resolution
      height: 360 # <---- update for your camera's resolution
      fps: 5
    objects:
      track:
        - person
        - cat
        - dog
        - car
        - license_plate
      filters:
        person: {}
        cat: {}
        dog: {}
        car: {}
      mask: 
        0.718,0.422,0.779,0.434,0.783,0.218,0.807,0.197,0.805,0.221,0.802,0.239,0.814,0.284,0.827,0.296,0.841,0.276,0.834,0.216,0.875,0.24,0.876,0.111,0.928,0.165,0.929,0.037,0.932,0,0.596,0.001,0.717,0.193,0.761,0.193
    motion:
      mask:
        - 0.043,0.045,0.044,0.09,0.38,0.153,0.376,0.041
        - 0.724,0.874,0.727,0.901,0.859,0.909,0.858,0.87
        - 0.355,1,0.644,0.765,0.678,0.779,0.726,0.83,0.856,1
        - 0.721,0.421,0.76,0.191,0.717,0.193,0.701,0.157,0.674,0.113,0.593,0,0.93,0.002,0.931,0.022,0.924,0.041,0.925,0.16,0.866,0.099,0.864,0.216,0.846,0.217,0.828,0.307,0.798,0.256,0.776,0.228,0.776,0.411
      threshold: 30
      contour_area: 10
      improve_contrast: true
    zones:
      front_driveway:
        coordinates: 
          0.934,0.719,0.411,0.322,0.243,0.361,0.238,0,0,0,0.006,1,0.845,0.998
        inertia: 1
        loitering_time: 0
        objects:
          - cat
          - dog
          - person
          - license_plate
          - car
      Front_Right_Speed_Zone:
        coordinates: 0.431,0.246,0.496,0.215,0.993,0.446,0.966,0.537
        loitering_time: 0
        speed_threshold: 15
        distances: 4,30,4,30
    review:
      alerts:
        required_zones: front_driveway
      detections:
        labels:
          - license_plate
          #- car
    ui:
      order: 3





  doorbell: # <------ Name the camera
    enabled: true
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/doorbell
          input_args: preset-rtsp-restream
          roles:
            - record
            - audio
            #- detect

        - path: rtsp://127.0.0.1:8554/doorbell_sub
          input_args: preset-rtsp-restream
          roles:
            - detect
    live:
      streams:
        doorbell: doorbell
    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 2560 #640 # <---- update for your camera's resolution
      height: 1920 #480 # <---- update for your camera's resolution
      fps: 5
    objects:
      track:
        - person
        - cat
        - dog
        - car
        - license_plate
      filters:
        person: {}
        car: {}
        cat: {}
        dog: {}
        license_plate: {}
      mask: 0,0.093,0.061,0,1,0,1,0.479,0,0.494

    ui:
      order: 2

    motion:
      mask:
        - 0.008,0.016,0.008,0.051,0.016,0.072,0,0.093,0,0.475,1,0.456,1,0,0.142,0,0.06,0,0.053,0.016
        - 0.515,0.625,0.536,0.448,0.514,0.426,0.494,0.522,0.466,0.523,0.422,0.439,0.43,0.373,0.353,0.288,0.358,0.193,0.372,0.142,0.394,0.112,0.512,0.044,0.587,0.05,0.647,0.062,0.74,0.146,0.672,0.363,0.621,0.513,0.594,0.471,0.569,0.471,0.602,0.62
        - 0.93,0.57,0.925,0.494,0.816,0.412,0.816,0.381,0.817,0.296,0.789,0.235,0.806,0.192,0.793,0.073,0.809,0.047,0.886,0.015,0.964,0.14,0.966,0.212,1,0.267,1,0.411,0.944,0.483,0.946,0.565
      threshold: 30
      contour_area: 10
      improve_contrast: true
    zones:
      front_driveway:
        coordinates: 
          1,0.635,0.94,0.601,0.921,0.653,0.823,0.678,0.712,0.689,0.444,0.708,0.254,0.685,0.125,0.636,0,0.684,0,1,1,1
        inertia: 1
        loitering_time: 0
        objects:
          - cat
          - dog
          - person
          - license_plate
          - car
      Doorbell_Speed_Zone:
        coordinates: 0.886,0.573,0.847,0.526,0.24,0.548,0.168,0.578
        loitering_time: 0
        speed_threshold: 15
        distances: 4,30,4,30
    review:
      alerts:
        required_zones: front_driveway
      detections:
        labels:
          - license_plate
          #- car


  rear-right: # <------ Name the camera
    lpr:
      enabled: false
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/rear-right?video
          #input_args: preset-rtsp-restream
          roles:
            - record
        - path: rtsp://127.0.0.1:8554/rear-right_sub?video
          #input_args: preset-rtsp-restream
          roles:
            - detect
    live:
      streams:
        rear-right: rear-right
    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 640 # <---- update for your camera's resolution
      height: 360 # <---- update for your camera's resolution
      fps: 5
    objects:
      track:
        - person
        - cat
        - dog
      filters:
        person: {}
      mask: 0.362,0.616,0.234,0.584,0.239,0.424,0.402,0.492


    motion:
      mask:
        - 0.365,0.629,0.489,0.356,0.481,0.289,0.5,0.283,0.512,0.201,0.529,0.132,0.499,0,0.182,0,0.04,0.042,0.042,0.078,0.149,0.093,0.133,0.206,0.138,0.274,0.233,0.328,0.229,0.567
        - 0.725,0.865,0.849,0.863,0.85,0.909,0.726,0.913
      threshold: 30
      contour_area: 10
      improve_contrast: true
    zones:
      garden_zone:
        coordinates: 
          0,0,0.935,0,0.938,0.115,0.926,0.114,0.939,0.192,1,0.23,1,0.999,0,1
        loitering_time: 0
        inertia: 1
        objects:
          - cat
          - dog
          - person
    review:
      alerts:
        required_zones: garden_zone

    ui:
      order: 4






  rear-left: # <------ Name the camera
    lpr:
      enabled: false
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/rear-left?video&audio=aac
          #input_args: preset-rtsp-restream
          roles:
            - record
        - path: rtsp://127.0.0.1:8554/rear-left_sub?video
          #input_args: preset-rtsp-restream
          roles:
            - detect
      # output_args:
      #   record: preset-record-generic-audio-copy

    live:
      streams:
        rear-left: rear-left
    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 640 # <---- update for your camera's resolution
      height: 360 # <---- update for your camera's resolution
      fps: 5
    objects:
      track:
        - person
        - cat
        - dog
      filters:
        person: {}
      mask:


        - 0.647,1,0.691,1,0.559,1,0.559,0.821,0.655,0.761,0.747,0.152,0.796,0.163,0.792,0.49,0.77,0.644,0.767,0.72,0.77,0.767,0.738,0.866,0.721,0.97,0.726,0.994
        - 0.222,0.683,0.277,0.742,0.317,0.606,0.302,0,0.253,0,0.23,0.216,0.225,0.674
    motion:
      mask:
        - 0.228,0.216,0.206,0.655,0.175,0.691,0.254,0.793,0.364,0.728,0.351,0.687,0.282,0.648,0.296,0.596,0.313,0.349,0.317,0.107,0.457,0.11,0.455,0,0.299,0,0.224,0,0.025,0,0.025,0.108,0.238,0.109
        - 0.726,0.871,0.727,0.906,0.839,0.905,0.839,0.87
        - 0.655,0,0.608,0.032,0.608,0.154,0.61,0.211,0.624,0.314,0.614,0.342,0.681,0.44,0.665,0.56,0.669,0.635,0.641,0.7,0.635,0.76,0.691,0.88,0.755,0.816,0.786,0.751,0.782,0.669,0.807,0.489,0.929,0.506,1,0.428,0.998,0
      threshold: 30
      contour_area: 10
      improve_contrast: true
    zones:
      garden_zone:
        coordinates: 0,0,0.037,0,1,0,1,0.478,1,1,0.002,0.998
        loitering_time: 0
        objects:
          - cat
          - person
          - dog
        inertia: 1
    review:
      alerts:
        required_zones: garden_zone
      #detections:
       # required_zones: garden_zone
    ui:
      order: 5







  yi: # <------ Name the camera
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/yi?video&audio=aac
          #input_args: preset-rtsp-restream
          roles:
            - record
        - path: rtsp://127.0.0.1:8554/yi-sub?video
          #input_args: preset-rtsp-restream
          roles:
            - detect
      #hwaccel_args: preset-nvidia-h264
      output_args:
        record: preset-record-generic-audio-copy
        #record: preset-record-generic-audio-aac
          #hwaccel_args: preset-nvidia-h264
    #live:
      #stream_name: yi

    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 640 # <---- update for your camera's resolution
      height: 360 # <---- update for your camera's resolution
      fps: 5
    objects:
      track:
        - person
        - cat
        - dog
        - car
        - license_plate
      filters:
        person: {}
        car: {}
        license_plate: {}
      mask: 0,0.419,0,0.002,0.998,0,1,0.399
    zones:
      front_driveway:
        coordinates: 0,0.826,0.364,0.758,1,0.581,1,0.86,1,1,0,1
        inertia: 1
        loitering_time: 0
        objects:
          - cat
          - dog
          - person
          - license_plate
          - car
    motion:
      threshold: 30
      contour_area: 10
      improve_contrast: true
      mask: 
        0.001,0.002,0.258,0.452,0.303,0.576,0.343,0.57,0.366,0.311,0.657,0.332,0.698,0,0.736,0.314,0.807,0.369,1,0.359,1,0
    review:
      alerts:
        required_zones: front_driveway
      detections:
        labels:
          - license_plate
          #- car

    ui:
      order: 1

  pyronix: # <------ Name the camera
    lpr:
      enabled: false
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/pyronix?video
          #input_args: preset-rtsp-restream
          roles:
            - record
            - audio
        - path: rtsp://127.0.0.1:8554/pyronix_sub?video
          #input_args: preset-rtsp-restream
          roles:
            - detect
          
      output_args:
        record: preset-record-generic-audio-copy
    live:
      streams:
        pyronix: pyronix

    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 640 # <---- update for your camera's resolution
      height: 360 # <---- update for your camera's resolution
      fps: 5
    objects:
      track:
        - person
        - cat
        - dog
      filters:
        person: {}


    motion:
      threshold: 30
      contour_area: 10
      improve_contrast: true

    ui:
      order: 6

  pyronix360: # <------ Name the camera
    lpr:
      enabled: false
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/pyronix360?video
          #input_args: preset-rtsp-restream
          roles:
            - record
        - path: rtsp://127.0.0.1:8554/pyronix360_sub?video
          #input_args: preset-rtsp-restream
          roles:
            - detect
      # output_args:
      #   record: preset-record-generic-audio-copy
    live:
      streams:
        pyronix: pyronix360

    detect:
      enabled: true # <---- disable detection until you have a working camera feed
      width: 640 # <---- update for your camera's resolution
      height: 360 # <---- update for your camera's resolution
      fps: 5
    objects:
      track:
        - person
        - cat
        - dog
      filters:
        person: {}


    motion:
      threshold: 30
      contour_area: 10
      improve_contrast: true

    ui:
      order: 7
    onvif:
      # Required: host of the camera being connected to.
      # NOTE: HTTP is assumed by default; HTTPS is supported if you specify the scheme, ex: "https://0.0.0.0".
      host: 192.168.0.19
      # Optional: ONVIF port for device (default: shown below).
      port: 8000
      # Optional: username for login.
      # NOTE: Some devices require adminuser to access ONVIF.
      user: onvif
      # Optional: password for login.
      password: PASSWORD
      # Optional: Skip TLS verification from the ONVIF server (default: shown below)
      tls_insecure: false
      # Optional: PTZ camera object autotracking. Keeps a moving object in
      # the center of the frame by automatically moving the PTZ camera.
      autotracking:
        # Optional: enable/disable object autotracking. (default: shown below)
        enabled: true
        # Optional: calibrate the camera on startup (default: shown below)
        # A calibration will move the PTZ in increments and measure the time it takes to move.
        # The results are used to help estimate the position of tracked objects after a camera move.
        # Frigate will update your config file automatically after a calibration with
        # a "movement_weights" entry for the camera. You should then set calibrate_on_startup to False.
        calibrate_on_startup: false
        # Optional: the mode to use for zooming in/out on objects during autotracking. (default: shown below)
        # Available options are: disabled, absolute, and relative
        #   disabled - don't zoom in/out on autotracked objects, use pan/tilt only
        #   absolute - use absolute zooming (supported by most PTZ capable cameras)
        #   relative - use relative zooming (not supported on all PTZs, but makes concurrent pan/tilt/zoom movements)
        zooming: disabled
        # Optional: A value to change the behavior of zooming on autotracked objects. (default: shown below)
        # A lower value will keep more of the scene in view around a tracked object.
        # A higher value will zoom in more on a tracked object, but Frigate may lose tracking more quickly.
        # The value should be between 0.1 and 0.75
        zoom_factor: 0.3
        # Optional: list of objects to track from labelmap.txt (default: shown below)
        track:
          - person
          - cat
          - dog
        # Required: Begin automatically tracking an object when it enters any of the listed zones.
        required_zones:
          - lounge
        # Required: Name of ONVIF preset in camera's firmware to return to when tracking is over. (default: shown below)
        return_preset: home
        # Optional: Seconds to delay before returning to preset. (default: shown below)
        timeout: 10
        # Optional: Values generated automatically by a camera calibration. Do not modify these manually. (default: shown below)
        #movement_weights: []

    zones:
      Lounge:
        coordinates: 0,0,0,1,1,1,1,0
        loitering_time: 0
detect:
  # Optional: enables detection for the camera (default: shown below)
  enabled: true
  # Optional: width of the frame for the input with the detect role (default: use native stream resolution)
  width: 1280
  # Optional: height of the frame for the input with the detect role (default: use native stream resolution)
  height: 720
  # Optional: desired fps for your camera for the input with the detect role (default: shown below)
  # NOTE: Recommended value of 5. Ideally, try and reduce your FPS on the camera.
  fps: 5
  # Optional: Number of consecutive detection hits required for an object to be initialized in the tracker. (default: 1/2 the frame rate)
  min_initialized: 2
  # Optional: Number of frames without a detection before Frigate considers an object to be gone. (default: 5x the frame rate)
  max_disappeared: 25
  # Optional: Configuration for stationary object tracking
  stationary:
    # Optional: Frequency for confirming stationary objects (default: same as threshold)
    # When set to 1, object detection will run to confirm the object still exists on every frame.
    # If set to 10, object detection will run to confirm the object still exists on every 10th frame.
    interval: 50
    # Optional: Number of frames without a position change for an object to be considered stationary (default: 10x the frame rate or 10s)
    threshold: 50
    max_frames:
      objects:
        person: 900

detectors:
  onnx:
    type: onnx
    num_threads: 1
    device: cuda
    model:
      path: /config/yolo_nas_s.onnx
    execution_providers:
      - tensorrt
      - cuda
      - cpu

model:
  model_type: yolonas
  width: 320 # <--- should match whatever was set in notebook
  height: 320 # <--- should match whatever was set in notebook
  input_pixel_format: bgr
  input_tensor: nchw
  path: /config/yolo_nas_s.onnx
  labelmap_path: /labelmap/coco-80.txt

version: 0.16-0

Relevant Frigate log output

info    | 2025-10-01 08:36:35 | frigate.record.util | Deleting 21277 recording DB entries with missing files
warning | 2025-10-01 08:36:35 | frigate.record.util | Deleting 88.65% of recordings DB entries, could be due to configuration error. Aborting...

Relevant go2rtc log output

info | 2025-10-01 08:36:01 | startup | Preparing new go2rtc config...
info | 2025-10-01 08:36:02 | startup | Starting go2rtc...
info | 2025-10-01 08:36:02 | startup | go2rtc platform=linux/amd64 revision=fa580c5 version=1.9.9
info | 2025-10-01 08:36:02 | startup | config path=/dev/shm/go2rtc.yaml
info | 2025-10-01 08:36:02 | api     | listen addr=:1984
info | 2025-10-01 08:36:02 | rtsp    | listen addr=:8554
info | 2025-10-01 08:36:02 | webrtc  | listen addr=:8555
info | 2025-10-01 08:36:11 | startup | Starting go2rtc healthcheck service...

Frigate stats

No response

Operating system

Proxmox

Install method

Docker Compose

docker-compose file or Docker CLI command

services:
  frigate:
    container_name: frigate
    privileged: true # this may not be necessary for all setups
    restart: unless-stopped
    stop_grace_period: 30s # allow enough time to shut down the various services
    image: ghcr.io/blakeblackshear/frigate:0.16.1-tensorrt
    group_add:
      - "65534"
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              # device_ids: ['1']  # Only needed for multiple GPUs
              count: 1  # Number of GPUs
              capabilities: [gpu]
    shm_size: "4gb" # update for your cameras based on calculation above
    devices:
      #- /dev/bus/usb:/dev/bus/usb
      # - /dev/apex_0:/dev/apex_0
      # - /dev/apex_1:/dev/apex_1
      - /dev/dri/renderD128:/dev/dri/renderD128 # for intel hwaccel, needs to be updated for your hardware
      - /dev/dri/renderD129:/dev/dri/renderD129 # for intel hwaccel, needs to be updated for your hardware
    volumes:
      - /etc/localtime:/etc/localtime
      - /root/docker/frigate/config:/config
      - /root/docker/frigate/config.yaml:/config/config.yml
      - /root/docker/frigate/media/clips:/media/frigate/clips
      - /root/docker/frigate/media/recordings:/media/frigate/recordings
      - /root/docker/frigate/media:/media/frigate

      - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
        target: /tmp/cache
        tmpfs:
          size: 2000000000
    ports:
      - "8971:8971"
      - "5000:5000"
      - "1935:1935" # RTMP feeds (deprecated)
      - "8554:8554" # RTSP feeds
      - "8555:8555/tcp" # WebRTC over tcp
      - "8555:8555/udp" # WebRTC over udp
    environment:
      - "FRIGATE_RTSP_PASSWORD: Manish1970"
      - "YOLO_MODELS=yolov7-320,yolov7x-640"
      - "onnx"
      - "USE_FP16=false"
    security_opt:
      - no-new-privileges:true

networks:
  proxy:
    external: true

Object Detector

TensorRT

Screenshots of the Frigate UI's System metrics pages

Any other information that may be helpful

[inkeep-ai-assistant[bot]]

Your config is set to record continuously for 14 days (record: retain: days: 14), which will fill storage quickly and result in older recordings being deleted as space runs out. If you only want to keep recordings when motion is detected (not continuous recording), you should set the mode to motion under the retain section. For example:

record:
  enabled: true
  retain:
    days: 3
    mode: motion
  alerts:
    retain:
      days: 30
      mode: motion

This will only keep video segments with detected motion for 3 days, and segments overlapping with alerts for 30 days(1)(2).

The reason you are seeing frequent deletions and only getting less than a day of history is because your storage is filling up due to continuous recording. When Frigate detects less than an hour of storage left, it deletes the oldest 2 hours of recordings(1).

To summarize:

• Set mode: motion in your retain section to only save motion events.
• Lower the days value further if you still see storage filling up too quickly.
• The .webp files in /clips/review are snapshots for review items and are normal.

For more, see: Recording and Full Reference Config.

📚 Sources:

1. Recording
2. Full Reference Config

---

Have another question? Just tag @inkeep.

[NickM-27]

we will need a more full copy of logs

have you looked at the motion tuner to see if motion is being detected on the cameras?