CONSUMER PROTECTION & PRIVACY »» SURVEILLANCE »» FACIAL RECOGNITION »» Jan 04, 2021

Facial recognition systems use biometrics to map facial features from a photograph or video. It then compares the information with a database of known faces to find a match. Verification algorithms are used to match subjects to clear reference images, like a passport photo or mugshot. Under ideal conditions, facial recognition systems can achieve accuracy scores as high as 99.97%. However, accuracy decreases when images are too small, of poor quality, or taken from different angles. Facial recognition algorithms rely strongly on the nose bridge as a key facial marker so this system can be confused by covering one