Artificial Intelligence Based Students Attendance Monitoring System

Abstract

Emerge of Artificial Intelligence facilitates the automation of world in all aspects. So utilizing the AI benefits is an intelligent way of reducing the burden of day-to-day life and requirement of man power. Especially the advancement of Artificial Intelligence is highly important in education institutions for effectively monitoring their student. Specifically the attendance monitoring system is an important system in all kind of organizations including schools and colleges. Monitoring the presence or absence of students in a college or university is a highly tedious task. Particularly the conventional method of attendance monitoring involves roll call by their register number during every session. This traditional method involves much time and manpower. Such a manual process needs an automation system for accurate timeless tracking of students time to time in a vast atmosphere without any duplication and deputation attendance. The proposed Face Recognition based Attendance Monitoring System overcomes the foreseen complexities by applying Convolution Neural Network (CNN) algorithm. The student’s presence or absence in the class room, laboratory or in the hostel is identified by the system and is notified to  teachers, student and also his/her parents through SMS. The system mines the student identification in two basic steps as feature extraction and pattern classification. The system obtains 77.15 % of accuracy in face recognition.