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