Face Liveness detection is the process of ensuring that the system is accessed by a live/real individual only. It prevents spoofing attempts i.e. someone trying to access the system with a face mask, photo or a deep fake video.

Basic Liveness detection systems without active & passive capabilities often fail to detect real individuals in complex environments such as low lighting, reflections, and poor camera settings. Only advanced liveness detection systems ensure 100% accuracy and spoof prevention ensuring that only live individuals are able to access the system.

3D liveness is an advanced form of biometric authentication, a technology that verifies your identity using unique physical characteristics. Unlike traditional methods that use 2D images (like a flat photograph), 3D liveness creates a three-dimensional map of your face which ensures you’re not an imposter.

In Know Your Customer (KYC) processes, a liveness check is used to verify that the individual presenting their identity is physically present and real. It’s a crucial step in remote or digital KYC to prevent identity fraud, ensuring that the identity documents are not being presented by an imposter.

Anti-Spoofing Presentation Attack Detection in liveness checks is a security feature that identifies and prevents attempts to trick biometric systems using false representations, such as photos, videos, masks, or other artificial artifacts. It’s essential for maintaining the integrity and reliability of biometric authentication systems.

Primary function of liveness detection in biometrics is to distinguish between a live person and a synthetic or non-live representation. This is crucial for securing biometric systems against unauthorized access or fraudulent activities, ensuring that the biometric data being captured is from a live, present individual.