With the growth in technology, education system have also seen a lot of improvement. But still monitoring of student attendance using traditional system consumes too much time which could be employed in a better way inside the classroom. Small changes can tremendously affect bigger changes. Moreover, automated attendance system can help us to check whether a student is sleeping inside the classroom or whether he is proactive inside the classroom. Classroom Management Behavior System can gives us a concise idea of the various emotions students are face inside the classroom. This paper describes different methods used for attendance marking and detection of the level of attention paid in class by students.

Keywords : Convolutional Neural Network, Rectified Linear Unit, Graphics Processing Unit