LIVENESS DETECTION in eKYC

The primary purpose of the study was to design and implement a user-friendly, secure interface that authenticates users through randomized facial gestures such as blinking, smiling, nodding, and head movements, combined with real-time face detection.a seamless user experience.A randomized task generator strengthens anti-spoofing capabilities by requiring users to complete unpredictable facial tasks.Results showed that incorporating multiple liveness detection tasks significantly increased the robustness of the identity check, reducing the likelihood of spoofing through static images or pre-recorded videos.The system also includes real-time feedback, camera control, and automatic redirection upon task completion.In conclusion, this project demonstrates an effective and scalable approach to secure digital identity verification using face recognition and liveliness detection, suitable for applications .