Facial Recognition
Facial recognition matches a photo of a face to an identity.
Facial recognition is a biometric modality that analyses the geometry and texture of a person’s face to establish identity. Modern systems rely on CNN embeddings and achieve <0.1% FNMR on NIST FRVT benchmarks.
Latest Updates
- 2025-07-01: Tinder, Deliveroo, Uber Eats and Just Eat expanded selfie or facial-verification checks to fight bots, deepfakes and illegal-account rentals in CA and UK gig-economy platforms.
References
Vendors using Facial Recognition
Frequently Asked Questions
How does facial recognition work?
Facial recognition uses algorithms to analyze facial features—such as the distance between eyes or the shape of cheekbones—to create a unique digital signature for identification.
How accurate is facial recognition technology?
Modern facial recognition systems can achieve very low false match rates (below 0.1%) under controlled conditions, but accuracy may vary with lighting, pose, and image quality.
What are common concerns around facial recognition?
Concerns include privacy violations, potential bias against certain demographic groups, and misuse by surveillance systems without consent.