Abstract: This project presents a comparative analysis of various Attendance Management Systems (AMS) to evaluate their efficiency, accuracy, security, and scalability. With the growing need for reliable attendance tracking in educational institutions and organizations, multiple technologies—such as manual registers, RFID cards, biometric systems (fingerprint, face recognition), and mobile-based GPS tracking—have been developed and deployed. The study critically examines each system's performance based on parameters like implementation cost, ease of use, susceptibility to fraud (e.g., proxy attendance), maintenance requirements, and integration with existing infrastructure. By analyzing data collected from real-world case studies and user feedback, the project identifies the strengths and limitations of each approach. The findings aim to guide institutions in selecting the most suitable attendance solution based on their specific needs, budget, and operational environment. The study concludes that while biometric and AI-based systems offer superior accuracy and automation, factors like privacy concerns and technical complexity must also be considered.
Keywords: Biometric Authentication, Face Recognition, RFID Technology, GPS-Based Attendance, Manual Attendance, Comparative Study, Proxy Attendance Prevention.
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DOI:
10.17148/IJARCCE.2025.145103
