Student Attendance Manager Using Beacons and Deep Learning

Abstract

An efficient method for attendance management system is always been a challenging task for any organization varying from schools and colleges. This paper discusses about the attendance management system (AMS) and it's challenges. The paper proposes a student attendance system for schools and colleges using Beacon technology and Deep Learning techniques. The aim of this device is too savvy smart attendance system which includes the removal of issues like intermediary participation (for example proxy attendance for a student by another student). This is accomplished by obtaining live feeds from a fisheye camera at the beginning of each hour, which would be processed by a Convolutional Neural Network in the back end to enable students to choose their heads in the picture provided to them in their interface when they are in beacon proximity. Teachers interface will receive this same picture at the end of each hour to solve any discrepancy after which the data will be stored in a database. Hence, providing a foolproof system and efficient attendance tool.