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What is Face Recognition for Student Attendance System about?

This study explores a face recognition system for student attendance using Haar Cascade Classifier and FaceNet. The system achieved a success rate of 95% in recognizing faces during attendance trials, although some failures were attributed to factors like lighting and headgear. The research combines traditional and deep learning methods to enhance the accuracy and efficiency of student identification in educational settings.

Author

IJICT JOURNAL

Language

EN