Coral AI Person Detection with Home Assistant & Frigate

 
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