IoT-Based Intelligent Attendance Monitoring System

Authors- Mr. R. Palani Kumar, B. Raghav Krishna, V. Saran Babu, S.A. Yogesh

Abstract-A person’s unique facial features reflect their personality. This project uses facial recognition to register attendance automatically. In universities, colleges, and schools, attendance tracking is crucial. Calling out names or roll numbers is the traditional method of recording attendance, which takes up significant time. Manually recording attendance can take up to 10 minutes, which is a substantial amount of time given that a normal class lasts approximately an hour. An automated system based on image processing is put into place to address this inefficiency. Face recognition and face detection are used in this project to confirm student identify for attendance recording. Every student’s facial information is maintained in a database, and attendance is automatically recorded when a student’s face matches a registered entry.

DOI: /10.61463/ijset.vol.10.issue1.278