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Face recognition

Face recognition spots faces on your cameras, recognises people you have enrolled, and groups the ones it doesn't know yet. It builds on object detection, so it needs an AI backend with face support enabled on the camera.

Faces view with known and unknown faces

Enrolling a known face

Open the Faces view. It has two sections: Known Faces and Unknown Faces.

To add someone:

  1. Select Add Face.
  2. Enter a name, pick the face detection plugin, and drop in a clear photo of the person.
  3. camera.ui checks that it can find a face, then select Enroll.

The person is now recognised in future events, with their name shown as an attribute on detections.

Enroll face dialog

Unknown faces

Faces that don't match anyone enrolled collect under Unknown Faces, grouped automatically so the same person's shots cluster together.

  • Assign a group to a person to enrol everyone in it at once, or assign a single face.
  • Discard groups or faces you don't care about, or clear all ungrouped faces.

Settings

In the NVR settings, face recognition has:

  • Match threshold. How strict face matching is (0.3 to 0.8).
  • Max training images. How many photos to keep per person (5 to 15); camera.ui keeps the best ones.

Rescanning

Enrolled someone new? Select Rescan existing events to re-check past recordings and tag them with the newly known face.