Classroom Attendance Monitoring Using CCTV

In Institutions/schools attendance maintaining is one of the major work for the faculty's to check the strength of a class. The faculties are provided with paper based attendance. They separately have it for various periods of subjects known log book. They mark the attendance every time when they go to class for their periods. To avoid manual paper based attendance system nowadays smart attendance monitoring system like biometric facial recognition system is being suggested. It is enormously used in much application such as monitoring the class room using CCTV, Computer -human interaction, Accurate Attendance maintaining and in security issues. This system rectifies the problems in marking the student's entry as absent even they are inside the classroom. In the implementation process, detecting the face, identifying and marking the attendance automatically whether the student is present or not is done. Principle Component Analysis (PCA), Eigen face value detection, Convolutional Neural Network (CNN) are the methods being used in this paper to create an automatic attendance management system. This model is successfully done in comparison with database of student's face to control the movement of people with a predefined protocol.