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’s nose bridge with accessories like jewelry, face paint, or creative hairstyling to conceal the area just above the nose and between the eyes. Facial recognition can help verify personal identity, but it also raises privacy issues.

Pending Legislation: H.R.4695 - Facial Recognition Act of 2025
Sponsor: Rep. Ted Lieu (CA)
Status: Referred to the House Committees on the Judiciary, and Science, Space, and Technology, for a period to be subsequently determined by the Speaker
House Speaker: Speaker Mike Johnson (LA)