Automatic Attendance System Using Deep Learning

Abstract

In this paper, novel automatic attendance system is proposed by using machine learning and deep learning algorithms. Real-time face recognition algorithms are used and integrated with existing University management system which detects and recognize faces of students in real time while attending lectures. This new proposed system for automatic attendance system aims to be less time consuming in comparison to the existing system of marking the attendance. The designed system does not interrupt class in any manner. Therefore, it saves potential time of students as well as of teachers. From the experiment analysis it is found that the accuracy of proposed system is 97%. Hence proposed system doesn’t require any rectification and verification from teachers.