AI Facial Recognition Body-Worn Cameras

Body-worn cameras were introduced as accountability devices: a record of what an officer did, reviewable afterwards. Adding facial recognition changes what they are. A camera that identifies people as it records is not a record of an encounter; it is an identification system worn on the chest of every officer on patrol.

The distinction matters because the accountability rationale that justified body cameras does not extend to identification, and the two capabilities pull in opposite directions on public trust.

WHERE IT STANDS

Deployments recorded on this site's tracker are listed below, with Edmonton Police Service the documented example and Corsight AI the named supplier.

Adoption has been slower than the technology's availability would suggest, and one reason is supplier reluctance. Axon, the largest body-worn camera supplier, has previously declined to add face matching to its cameras following advice from its own ethics board, which concluded the technology was not accurate enough for that use and raised concerns about the consequences of error in an operational setting.

That is unusual and worth recording: a commercial supplier declining a capability its customers wanted, on ethical advice it had commissioned.

THE CASE FOR IT

An officer who cannot identify the person in front of them has limited options, and the alternatives — detention for identification, or letting a wanted person walk away — are both unattractive. Identification at the point of encounter is faster than either.

There is also a safety argument: knowing that the person being approached is wanted for a violent offence changes how an officer approaches them.

And unlike live facial recognition mounted on a van, a body camera is already present at the encounter. The marginal intrusion, on this argument, is the matching rather than the recording.

THE CASE AGAINST

The marginal intrusion argument understates the change. A body camera records; a matching body camera identifies everyone in frame, which in a street encounter includes bystanders who are not part of the interaction and have no involvement in it.

Continuous operation is the deeper issue. A van-mounted system operates at announced deployments for limited periods. A body camera is worn for an entire shift, and if matching runs continuously the officer becomes a mobile identification checkpoint wherever they walk.

Accuracy conditions are also worse than for handheld operator-initiated recognition, which this site records as performing well. A body camera captures moving subjects at variable angles in variable light — the conditions under which facial recognition performs least reliably, and under which demographic disparities in error rates are most pronounced.

The accountability inversion should be stated plainly. Body cameras were introduced substantially in response to public demand for oversight of police conduct. Repurposing them as identification devices converts a technology the public asked for into one applied to the public.

WHAT IS NOT ESTABLISHED

How many forces worldwide have deployed or trialled face matching on body cameras is not centrally recorded.

Whether matching runs continuously or is officer-initiated differs by system and is not documented in most deployments.

No independent accuracy evaluation of facial recognition under body-camera conditions has been identified.

Whether images of bystanders captured during matching are retained is not documented.