Title: A novel IoT-enabled portable, secure automatic self-lecture attendance system: design, development and comparison

Authors: Ata Jahangir Moshayedi; Atanu Shuvam Roy; Hamidreza Ghorbani; Habibollah Lotfi; Xiaohong Zhang; Leifa Liao; Mehdi Gheisari

Addresses: School of Information Engineering, Jiangxi University of Science and Technology, Jiangxi, Ganzhou, 341000, China ' School of Information Engineering, Jiangxi University of Science and Technology, Jiangxi, Ganzhou, 341000, China ' Gsecbox, Lisbon, Portugal ' Gsecbox, Lisbon, Portugal ' School of Information Engineering, Jiangxi University of Science and Technology, Jiangxi, Ganzhou, 341000, China ' School of Information Engineering, Jiangxi University of Science and Technology, Jiangxi, Ganzhou, 341000, China ' Department of Cognitive Computing, Institute of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, 602105, India

Abstract: This study focuses on the importance of monitoring student attendance in education and the challenges faced by educators in doing so. Existing methods for attendance tracking have drawbacks, including high costs, long processing times, and inaccuracies, while security and privacy concerns have often been overlooked. To address these issues, the authors present a novel internet of things (IoT)-based self-lecture attendance system (SLAS) that leverages smartphones and QR codes. This system effectively addresses security and privacy concerns while providing streamlined attendance tracking. It offers several advantages such as compact size, affordability, scalability, and flexible features for teachers and students. Empirical research conducted in a live lecture setting demonstrates the efficacy and precision of the SLAS system. The authors believe that their system will be valuable for educational institutions aiming to streamline attendance tracking while ensuring security and privacy.

Keywords: portable system self-lecture attendance systems; self-lecture attendance system; SLAS; automated attendance system; Raspberry Pi-based system; QR codes; internet of things; IoT.

DOI: 10.1504/IJESDF.2024.142009

International Journal of Electronic Security and Digital Forensics, 2024 Vol.16 No.6, pp.663 - 689

Received: 29 Mar 2023
Accepted: 06 Jun 2023
Published online: 07 Oct 2024 *

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