A man was arrested in Brazil for using customers' photos to bypass the facial recognition login in a mobile banking app. He allegedly used the pictures to gain access to their accounts and obtain loans, reported the Daily Mail.

The majority of modern facial recognition technology incorporates anti-spoofing or liveness detection systems. A liveness detection system is a technology designed to verify that a biometric sample, such as a facial image, is obtained from a living person and not from a spoofed or fake source.

Active liveness systems require the user to perform an action, such as blinking or smiling, to verify their identity. Passive liveness systems, on the other hand, use advanced technology to detect signs of life without requiring any action from the user.

The global testing hub for liveness detection systems is iBeta lab. They evaluate the systems' effectiveness in preventing various forms of spoofing, including videos, photos, 2D masks, and 3D masks, whether they are printed or made with lifelike material.

NtechLab’s facial recognition technology has cleared all tests conducted by iBeta lab with the highest accuracy and a zero-error rate.