Abstract: This project presents a Face Recognition Based Attendance System designed to automate and streamline the attendance process in educational institutions. The system replaces traditional manual and biometric methods with a contactless, accurate, and time-efficient solution using face recognition technology. Students are registered with their academic details and facial data, which are used to train a recognition model for real-time attendance marking. The system consists of Admin, Student, and Attendance modules to manage registrations, monitor attendance, and generate reports. By minimizing human intervention and errors, the proposed system improves reliability, security, and efficiency in attendance management.
Keywords: Face Recognition, Attendance Management, Computer Vision, Machine Learning, Biometric Authentication, Automated Attendance, OpenCV, Python Programming, Real-time Face Detection, Educational Institutions
Downloads:
|
DOI:
10.17148/IJARCCE.2026.151142
[1] Kowshik R Gowda, A G Vishvanath , "FACE RECOGNITION BASED ATTENDANCE SYSTEM," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.151142
