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Security firms, mobile app developers, law enforcement, retail businesses, and event organizers who need quick identity verification.
It scans an image or video to locate faces, then extracts unique facial landmarks like eyes, nose, and mouth distances. This data is converted into a facial signature and compared against a database. If there's a match, the person is identified or verified.
It's pretty accurate, especially with good quality images, but can sometimes struggle with occlusions or extreme angles.
Yes, many systems use infrared or advanced algorithms to handle low light conditions.
It depends on the implementation and data handling policies. Proper encryption and consent are key.
Face recognition with masks is tricky; some newer models try to adapt but accuracy may drop.
Yep, many systems can recognize several faces simultaneously in a crowd or group photo.
