Liveness detection systems have the ability to distinguish between an actual person and a prop, video, or photo presentation.

These systems are able to determine if a face is "alive" and real or a fabrication through a variety of measures:

• Motion analysis: The system determines whether the image is a live capture by analysing the movement of the user’s face and its surrounding area.
• Skin Texture Analysis: The system is able to determine if a person is real or not through skin texture analysis. ****Skin texture is noticeably different in a live face as compared to a fake one.
• Use of 3D Cameras: Some of the newer methods utilise multiple cameras to capture different angles of the face simultaneously, making it more challenging for fraudsters to bypass the system.
• Machine Learning Algorithms: To train these algorithms, the system will analyse a large dataset of both genuine and spoofed facial images or videos. The algorithms then learn the characteristics of genuine and spoofed faces to accurately distinguish between the two.