Facial recognition is an AI capability that analyzes facial features captured on camera and compares them against a reference database to identify or verify an individual’s identity. In a commercial security context, it’s typically applied to specific, defined use cases rather than blanket identification of everyone captured on camera, most often matching against a watchlist of individuals previously involved in incidents at a property.
Accuracy and appropriate use vary meaningfully depending on camera angle, lighting, and image resolution at the point of capture, the quality and size of the reference database being matched against, and applicable state and local regulations, which differ significantly on what facial recognition data can be collected, stored, and used for.
Because of this regulatory variation, facial recognition deployment decisions are typically made on a site-by-site basis with legal input, rather than as a default feature turned on across every property.
