codeproject.ai face_recognition no entity

[dsenecic]

Trying to setup face recognition via codeproject.ai, but there is no face_recognition entity in viseron. So there is also no sensor.face_recognition mqtt topic. Codeproject receives client requests from viseron for face_recognition. With plate_recognition all is OK.

Start by adding some cameras

ffmpeg: camera: camera_1: # This value has to be unique across all cameras name: Garaza host: 10.x.x.x port: 554 path: /user=admin_password=_channel=1_stream=0.sdp?real_stream username: admin password:

mqtt: broker: 10.x.x.x username: password:

You can also use motion detection

mog2: motion_detector: cameras: camera_1: # Attach detector to the configured camera_1 above fps: 1 threshold: 20

Then add an object detector

darknet: object_detector: cameras: camera_1: # Attach detector to the configured camera_1 above fps: 1 scan_on_motion_only: false # Scan for objects even when there is no motion labels:

• label: person confidence: 0.7 trigger_recorder: false
• label: car confidence: 0.6 trigger_recorder: false zones:
• name: garaza coordinates:
  • x: 500 y: 1992
  • x: 365 y: 596
  • x: 1002 y: 599
  • x: 1201 y: 1931 labels:
    • label: person confidence: 0.7 trigger_recorder: true
• name: prolaz1 coordinates:
  • x: 1027 y: 716
  • x: 1194 y: 1831
  • x: 2589 y: 1767
  • x: 1540 y: 711 labels:
    • label: car confidence: 0.6 trigger_recorder: true require_motion: true

codeprojectai: host: 10x.x.x port: 32168 object_detector: cameras: camera_1: fps: 1 log_all_objects: true labels:

• label: car confidence: 0.6 trigger_recorder: true
• label: motorbike confidence: 0.6 trigger_recorder: true

• label: person confidence: 0.7 trigger_recorder: true

  zones:

• name: garaza coordinates:
  • x: 500 y: 1992
  • x: 365 y: 596
  • x: 1002 y: 599
  • x: 1201 y: 1931 labels:
    • label: person confidence: 0.6 trigger_recorder: true

• name: prolaz coordinates:

  • x: 1027 y: 716
  • x: 1194 y: 1831
  • x: 2589 y: 1767
  • x: 1540 y: 711 labels:
    • label: car confidence: 0.6 trigger_recorder: true require_motion: true
    • label: motorbike confidence: 0.6 trigger_recorder: true require_motion: true

  face_recognition: save_unknown_faces: true cameras: camera_1: labels:

  • person

  license_plate_recognition: cameras: camera_1: labels:

  • car
  • motorbike

To tie everything together we need to configure one more component.

nvr: camera_1: # Run NVR for camera_1

camera_2: # Run NVR for camera_2

Now you can restart Viseron and you should be good to go!

[roflcoopter]

You need to train it on some faces for it to work (which i realize now might not be super intuitive)

To do that you can read this chapter in the docs: https://viseron.netlify.app/components-explorer/components/codeprojectai#train