Automated Attendance System Using Facial Recognition

The human face is a unique feature and thus it can used in the case of student's attendance. This project is aimed at implementing an automated attendance system. The proposed system framework utilises face detection and recognition techniques. The algorithms implemented are Haar's Cascades and LBPH. The system identifies the correct students and their participation in the class with the help of a camera that records the class and a computer that analyses the feed it receives from the camera. The attendance records are stored in a database maintained by the developers and accessible to the management of the institution.