Background of the Study

Attendance is a critical administrative and academic activity in schools, universities, and training centers because it is directly linked to learner participation, performance monitoring, and compliance with institutional or regulatory requirements. Traditional attendance methods in many institutions still rely on manual roll calls or paper-based registers, which are time‑consuming, prone to human error, and vulnerable to manipulation such as proxy signing or missing records. These limitations reduce the reliability of attendance data and increase the workload for teachers and administrative staff, especially in large classes or multi‑session programs.

Radio Frequency Identification (RFID) technology has emerged as a robust alternative for automating identification and tracking tasks in domains such as retail, transportation, smart cities, and education. In an RFID-based attendance system, each student is issued a unique RFID card or tag that is linked to their identity, and attendance is captured automatically when the card is tapped or brought near an RFID reader. Recent studies and project implementations show that integrating RFID with microcontrollers (such as Arduino or NodeMCU) and Internet of Things (IoT) connectivity enables real-time logging of attendance, automated storage in cloud or web databases, and easy generation of reports for teachers, administrators, and even parents.

Research from 2020 onward indicates that RFID-based smart attendance systems can significantly reduce time spent on roll calls, minimize proxy attendance, and improve the accuracy and availability of attendance records. Systematic reviews also highlight current trends such as combining RFID with Google Sheets, mobile interfaces, and web dashboards to enable real-time monitoring and analytics. More recent work extends this idea by integrating RFID with other technologies such as facial recognition, blockchain, and artificial intelligence to enhance security, scalability, and transparency of the attendance process. These developments demonstrate that a smart attendance system using RFID is timely, practical, and aligns with broader moves toward digital transformation and smart campuses. (Salunkhe, A. et al. 2025).

However, existing systems also face constraints such as tag collision (when many tags are scanned at once), possible environmental interference, and concerns about data privacy and secure handling of students’ personal information. At the same time, many institutions, especially in developing contexts, still use manual or partially automated attendance methods and have not fully adopted a low‑cost, scalable RFID-based solution integrated with existing academic management platforms. This gap motivates the development of a student project on a “Smart Attendance System Using Radio Frequency Identification (RFID)” that is affordable, easy to deploy, and tailored to the needs of educational institutions.

Statement of the Problem

Despite the importance of accurate and timely attendance tracking in educational institutions, many schools and universities still depend on manual attendance methods such as paper registers or verbal roll calls. These approaches are slow, interrupt teaching time, and are highly susceptible to human error, including mis‑marking, missing entries, and difficulty in maintaining long‑term records. In large classes or institutions with multiple sessions, manual methods also make it difficult for administrators to obtain up‑to‑date attendance statistics for decision‑making, monitoring student engagement, or enforcing attendance policies.

Furthermore, existing manual and semi‑manual systems offer limited protection against malpractice such as proxy attendance, where one student signs or answers for another, leading to unreliable data that can misrepresent true participation. Even some biometric systems, while more secure, often require expensive hardware, longer processing times during peak periods, and may raise hygiene concerns in environments where many users touch the same device. Many currently deployed RFID systems in institutions are also not fully integrated with modern IoT platforms or academic databases, which restricts real‑time access to data, automated notifications, and analytics for parents, lecturers, or school management.