Deep learning-based smart attendance monitoring system

Abstract

In this paper, we have addressed an approach for accurate smart attendance monitoring system designed on the basis of deep learning algorithm. This approach will spectate the entry and exit of people into an institute or university. When a person approaches a surveillance camera near the entrance, automatically his/her face will be recognized and the entry time will be stored. Similarly while exiting, their faces will be recognized in another deep learning model embedded surveillance camera and the exit time will be stored. Our approach will help the institute to provide attendance even for attending a lecture for a percentage of time. The smart attendance monitoring system provides an advantage over the traditional approach of signing or giving bio-metric and is more reliable. This is based on real-time approach and consumes no additional time of the institute, university, or its students and faculties.