ISSN: 2265-6294

ADVANCING ATTENDANCE TRACKING: A COMPREHENSIVE STUDY ON IOT-ENABLED FINGERPRINT-BASED ATTENDANCE SYSTEMS

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GIRIRAJ PRAJAPATHI, PANGA REVATHI, RENUKUNTA SAI KRUSHNA

Abstract

A biometric time and attendance system uses a person's unique physical or behavioral characteristics to automatically identify them as an employee or student. Typically, biometric features such as fingerprints, iris scans, finger veins, hand veins, and facial features are utilized for employee and student identification. Students benefit from biometric systems because they facilitate easier attendance tracking. An easy-to-use method of keeping track of students' attendance is proposed, which involves a biometric scanner that uses fingerprints and an IOT system that stores attendance data in the cloud. When this system is implemented, the need to manually gather and maintain student attendance records is eliminated. Furthermore, proxy attendance is strictly forbidden, resulting in more precise attendance records. The records can be retrieved by the teacher whenever they are needed from a secure location.

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