Coral AI Person Detection with Home Assistant & Frigate

detectors: 
  coral: 
    type: edgetpu 
    device: usb
 
mqtt:
  host: homeassistant.local
  port: 1883
  topic_prefix: frigate
  client_id: frigate
  user: #your mqtt user
  password: #your mqtt password
  stats_interval: 60
 
cameras:
  #simple camera example
  entrance:
    ffmpeg:
      inputs: 
        - path: rtsp://user:password@ip:port
          roles: - record - detect
    detect:
      height: 720
      fps: 5
 
record:
  enabled: True
  retain:
    days: 7
    mode: all
  alerts:
    retain:
      days: 15
      mode: motion
  detections:
    retain:
      days: 10
      mode: active_objects
 
review:
  # Optional: alerts configuration
  alerts: 
    # Optional: labels that qualify as an alert (default: shown below)
    labels: 
      - person 
      - car
  detections:
    # Optional: labels that qualify as a detection (default: all labels that are tracked / listened to)
    labels: 
      - dog 
      - cat
 
ffmpeg:  
  hwaccel_args: preset-rpi-64-h264
 
objects:
  track: 
    - person 
    - car 
    - dog 
    - cat  
  filters:
    person: 
      # Optional: minimum width*height of the bounding box for the detected object (default: 0)
      min_area: 0 
      # Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
      max_area: 100000 
      # Optional: minimum score for the object to initiate tracking (default: shown below)
      min_score: 0.5 
      # Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
      threshold: 0.7

#advanced camera example
livingroom:
    ffmpeg:
      output_args:
        record: preset-record-generic-audio-aac
      inputs:
        - path: rtsp://user:password@ip-hi-res-stream:port
          roles:
            - record
        - path: rtsp://user:password@ip-low-res-stream:port
          roles:
            - detect
    detect:
      height: 720
      fps: 5
    motion:
      mask:
        - 1280,0,1280,49,1123,0
    zones:
      fixt_desk:
        coordinates: 445,486,419,177,542,0,679,0,829,0,810,285,686,453,572,512
    snapshots:
      required_zones:
        - fixt_desk