What is Facial Recognition?
Facial recognition systems are the automated processes for detecting a face, extracting features, and either verifying an identity (1: 1) or identifying a person from a gallery (1:N). The technology is powerful—and sensitive. Accuracy rates depend on capture conditions, sensors, and training data; policy will differ by region. Product teams need to thread a needle—striking a balance between security and privacy requirements, the risk of bias, and still delivering a usable customer experience.
Make it trustworthy: acquire a good-quality capture, apply image alignment, and run liveness checks to defeat spoofing. Keep thresholds risk-based and documented. Segment metrics by device class and environment, not just global averages. Where facial recognition is used to gate high-value actions, nest it inside a verifiable chain—strong identity verification at enrollment, then templated evidence for audits.
