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Smart Attendance Management System Using Face Recognition by sha76809 is a document available to read on EtoBox.

The document presents a Smart Attendance Management System utilizing face recognition technology to automate attendance tracking in academic institutions, addressing issues with traditional methods such as time consumption and inaccuracies. The system employs computer vision and machine learning techniques, specifically the LBPH algorithm and OpenCV, to ensure reliable performance under various conditions. It features a user-friendly interface for faculty, enhances transparency, and minimizes manual errors,

Author
sha76809
Language
EN