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Recognise people by their face on object sensors that look for Person. Off until you turn it
on per sensor; the faces never leave your Home Assistant.
Name the people of your household by tapping them on the Live tab, in the history or in the
review queue, or add photos from your phone on the new People page.
A person named on one camera is known on every camera, with their own sensor that says where
they are now. Unknown person turns on for a clear face that matches nobody.
While someone walks up, the sensor looks for their face about every second, and when it is
not sure who it is, it asks you in Review: each answer teaches it how that camera sees them.
Made for doorbells: faces in front of a bright sky are evened out before they are compared,
and the Live tab shows whether your camera sees faces well enough.
Two face models: SFace (fine on a Raspberry Pi 4) and AuraFace (for a fast PC).
Larger AI models for fast PCs under Settings → AI model: D-FINE M and L find more
small and far-off objects, DINOv2 base tells similar states apart best. Compare every model's
memory, speed and accuracy there, and delete downloaded ones you no longer use.
Teaching limits you can tune, for all object sensors and per sensor.
The wizard warns about a small picture, which may be the camera's low-resolution stream.
Better
The History shows what you taught from it (Taught: Our car).
"Last seen" survives an update or restart: a sensor no longer says Not seen yet about
something it has seen before.
Fixed
Boxes on the Live tab now always match the picture shown.
Switching AI models gives the memory of the old model back without a restart.