Multimodal Facial Recognition Based Attendance Monitoring System

This research study focuses on developing an automated attendance system using facial recognition technology. The system utilizes the Local Binary Patterns (LBP) algorithm to accurately recognize student faces. By replacing traditional manual attendance methods, this system aims to improve efficiency, accuracy, and reduce the time required for attendance marking. The system automates the face recognition process, eliminating the need for manual verification and reducing the potential for human error. This research contributes to enhancing the efficiency and effectiveness of educational administration.