ATTENDANCE BASED SYSTEM USING IMAGE RECOGNITION

– The Attendance System using Real-Time Facial Recognition is a reliable solution that can be used on a daily basis to manage student attendance. It involves using facial recognition technology to identify and recognize students’ faces for attendance tracking, rather than relying on biometric information. In this particular face recognition project, the computer system is able to quickly and accurately detect and recognize human faces in images or videos captured by a surveillance camera. To improve the performance of the facial recognition system, numerous algorithms and techniques have been developed, with the LBPH approach being used in this case. This technique involves converting video frames into images, allowing the system to easily recognize students’ faces and track their attendance, updating the attendance database automatically. The database used for storing the attendance records is SQLite, which is known for its efficiency, high performance, portability, reliability, accessibility, and compatibility with the Python software. Python is a suitable programming language for this attendance system due to the availability of extensive libraries and a large community for support and potential future developments.