A spoof attack in facial biometric systems occurs when someone attempts to trick the system using a false representation of a face, such as a photo, video, or a different substitute for an actual human face. This can lead to unauthorized access or fraudulent attendance records, impacting the security and accuracy of biometric data management.
Cams Biometric machines combat these attacks through advanced detection technologies. They employ infrared scanning and sophisticated algorithms to analyze the depth and contours of the face, ensuring the entity presented is physically present. This method detects anomalies that distinguish between real faces and replicas, thereby enhancing security and ensuring that attendance is recorded accurately, blocking attempts to use photos or video calls for authentication.
