Prototype model for an intelligent attendance system based on facial identification

Abstract

In this work, we are proposing the designing and development of a camera based attendance system that could scan the faces of multiple students and could be a successor to all the biometric devices that are being used till date. Human face is a dynamic thing and has high degree of variability so we need speed and accuracy to detect face structures of the students. The processing of the system would include registering students by capturing their pictures and then using those for marking attendance. Continuous estimation is needed to get high accuracy in such a system. This paper initially introduces our system and finally evidence will be provided to support our system. This system can be also used in online examination for authentication of the identity of the student giving the examination.