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The Face Recognition Based Attendance System uses face recognition technology to automate student attendance tracking in educational institutions. It captures live video or images, matches them against a registered database of faces, and marks attendance in real-time.
A real-time face recognition system for automated student attendance tracking using Python, OpenCV, and AI, with optional API integration for smart campus environments.
Real-time object detection and direction-based tracking system to monitor student entry and exit in lecture halls using YOLO, OpenCV, and Shapely — includes CSV logging and optional API integration.