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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 said it could provide a safer verification method than current biometric identifiers:
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Using your face to unlock your phone is a pretty genius security protocol. But like any advanced technology, hackers and thieves are always up to the challenge, whether that s unlocking your phone with your face while you sleep or using a photo from social media to do the same.
Like every other human biometric identification system before it (fingerprints, retina scans) there are still significant security flaws in some of the most advanced identity verification technology. Brigham Young University electrical and computer engineering professor D.J. Lee has decided there is a better and more secure way to use your face for restricted access.
Proposed face unlock system would let you access your device with a wink engadget.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from engadget.com Daily Mail and Mail on Sunday newspapers.