Attendance Monitoring System Through Face Recognition

Attendance plays a vital role of student participation for classroom evaluation while monitoring attendance is a tedious task when done manually via calling out unique ids(names) or regulating attendance sheet which is both time-consuming and more chances of proxies. From substitute, wireless, RFID, iris, fingerprint; facial recognition wins over. The main objective of this research paper is to develop an automatic attendance monitoring system through face detection and recognition. Challenges for face recognition like facial expressions, change in hairstyles, the presence of some object or intensity of light can be tackled. The proposed system is tested on students at college campus and system identifies faces at a very fast rate with accuracy 99.3% using Dlib and face recognition libraries.