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RFID and Face Recognition-Based Biometric System for Automated Attendance Management

Mr.Y.Mohamed  Iqbal , Dr.S.Peerbasha , T. Vinoth, Dr. M. Mohamed Surputheen, Dr. T. Abdul Razak,

Dr. G. Ravi, Dr. M. Kamal,

Department of Computer Science, Jamal Mohamed College, Bharathidasan University, Trichy, Tamilnadu, India.

ABSTRACT

The modern world is rapidly adopting technology to enhance efficiency and accuracy across various domains. This paper presents the design and development of an automated attendance management system using Radio Frequency Identification (RFID) technology. The proposed system replaces conventional manual attendance methods with a contactless, real-time solution. RFID readers detect student ID tags, recording attendance and updating a centralized database automatically. This method minimizes human errors, prevents proxy attendance, and improves data security. The system is further enhanced by integrating Internet of Things (IOT) functionality for real-time data monitoring and remote accessibility. A comparative analysis with traditional attendance systems demonstrates significant improvements in reliability, scalability, and administrative efficiency. This research aims to contribute to smart campus initiatives and digital transformation in educational institutions.

INDEX TERMS RFID, IOT, Attendance Management System, Biometric Authentication, QR Code, Real-Time Monitoring, Automation, Student Tracking