Face detection and anti spoofing

In recent years, facial recognition technology has become increasingly sophisticated, and more and more companies have integrated facial recognition systems into their access control systems, some even replacing the original card-sensing systems. However, as more and more people use facial recognition systems, hackers' techniques are also advancing, and new security technologies will generate new cracking methods. Therefore, in facial recognition systems, face anti-spoofing has become more critical.

This study uses camera images combined with deep learning to determine the authenticity of a test subject's face, prevent unscrupulous individuals from using forged faces to pass through facial recognition systems, and improve facial recognition systems' security.