High accuracy on matching regardless of age, gender and ethnicity
Support “one-to-one (1:1) identity verification” by authenticating the identity of the same person, and “one-to-many (1:N) identification” by comparing an individual against a pre-enrolled database
Additional features including age and emotion estimation
Offer on-premises or cloud-based facial recognition