Facial and fingerprint recognition are certainly convenient ways to unlock phones, but they can sometimes be fooled by photos or pointing handsets at sleeping users. A new AI system aims to make biometric authentication more secure by analyzing facial movements. The tech requires users to record a short video of them making a unique facial motion. An integrated neural network framework then inspects the footage to learn their features and movements concurrently. When the user later attempts to access their phone, the system checks that their face matches with the recorded data. The tech, called Concurrent Two-Factor Identity Verification (C2FIV), was developed by Brigham Young University professor D.J. Lee. He…
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