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anti_spoofing – AI Model by brxerq | AlphaNeural AI
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Face Attendance Anti-Spoofing System
Developed a real-time face recognition system with integrated anti-spoofing measures for secure attendance tracking.
Utilized OpenCV, dlib, and MediaPipe to detect faces, analyze eye blinks, and assess liveness through texture analysis and gesture detection.
Implemented smartphone detection using YOLOv4 to ensure user focus during attendance capture.
Enhanced user authentication by incorporating facial landmarks, blink detection, and texture-based liveness checks to prevent spoofing.
Contributed to secure and reliable attendance management, particularly for educational and professional environments.
