Towards Developing an Automated Attendance Management System using Fingerprint Sensor

Abstract

Tracking students' attendance is a regular occurrence in most academic environments. The manual and semiautomated attendance systems are quite time-consuming, inefficient, as well as lacking in security. Thus, the objective of this research is to develop an efficient and secure attendance system that could be beneficial for all educational institutes. As outcomes, an integrated, embedded and fully automated attendance system is developed that makes the use of edge and cloud computing, biometric sensors, and real-time cloud database. The developed system was evaluated with 15 participants in a laboratory environment and found that the proposed system is comparatively more efficient, secure and propitious for educational institutes in tracking attendance.