Shypd.aiThe largest open index of AI toolsFace-Recognition-Attendance-System is an open-source tool for face detection, recognition, and automated attendance tracking. It helps reduce manual process errors by providing a reliable attendance system using face recognition technology.
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Face-Recognition-Attendance-System is an open-source project designed to automate attendance tracking using face detection and recognition. This system aims to reduce manual errors and provide a reliable method for recording attendance. Key features include checking camera feeds, capturing faces, training the system with new faces, recognizing individuals, and automatically recording attendance. It also offers automatic email notifications and screenshot capabilities. Built with Python 3.7, it leverages modules like OpenCV, Pillow, NumPy, Pandas, Shutil, CSV, and yagmail, utilizing Haar Cascade and LBPH algorithms for face recognition. The project is suitable for developers looking to implement or learn about face recognition attendance systems.
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