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