Article

A Cloud-Connected RFID Architecture for Automated Student Presence Verification

Author : D Sathish, Mandaloju Sai Balaji, B Dhamodhar, Konakanchi Sampath, Bandapelli Deepika

DOI : http://doi.org/10.64771/jsetms.2026.v03.i06.pp708-714

Attendance management has evolved significantly from traditional manual registers and paper-based record keeping to automated digital systems designed to improve accuracy and efficiency. In educational institutions, offices, and industrial environments, maintaining reliable attendance records is essential for monitoring participation, productivity, and organizational activities. Conventional attendance methods often require considerable manual effort and are prone to issues such as proxy attendance, data entry errors, record loss, and time consumption. Although barcode and password-based systems have been introduced to address some of these challenges, they still suffer from limitations related to user inconvenience, security concerns, and lack of real-time accessibility. These drawbacks highlight the need for a secure, automated, and remotely accessible attendance monitoring solution. To address these challenges, this study presents an IoT-enabled attendance monitoring system that integrates RFID technology, an Arduino-based controller, an ESP8266 Wi-Fi module, a buzzer alert mechanism, an LCD display, and cloud-based data storage. Each authorized user is assigned a unique RFID card that enables quick and contactless identification. Upon successful authentication, attendance information is automatically recorded and transmitted to the Thing Speak cloud platform for real-time storage and monitoring. Invalid card usage triggers an alert through the buzzer, enhancing system security. The proposed approach eliminates manual intervention, improves attendance accuracy, enables remote data access, and ensures reliable record maintenance. The integration of RFID and IoT technologies demonstrates an effective solution for modern attendance management, offering scalability, transparency, operational efficiency, and enhanced monitoring capabilities.


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