brxerq/anti_spoofing

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.