Abstract: In this paper the automated attendance system was introduced that reduced staff members' paperwork for attendance and also introduced classroom monitoring without visiting all departments using biometric technology. Traditionally, faculties collect student attendance using roll call on the muster. The faculties are responsible for monitoring student attendance during the semester. They must calculate the attendance % of all students for each semester. They must also warn students who are less in attendance to achieve a minimum attendance of 80% as per university regulations. This whole process is still done manually, which takes a lot of time. This issue may require a system to more accurately record student attendance and eliminate the need for manual faculty checking. The system saves the class schedule and when the class is ongoing it will be visible on the web page and semester, log in/out time, subject etc. will be visible on the screen. It will be accessible from the staff and higher authorities. The database stores the fingerprint data of all students and teachers. Whenever a student marks attendance for a particular semester, the system checks against the system's database and therefore marks that particular student's attendance for that respective semester. It will be displayed on the web page using the IOT to the respective higher authorities.
Keywords: Fingerprint, identification, Attendance database, Biometric, dashboard.
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DOI:
10.17148/IJARCCE.2021.10652
