Streamlining Attendance Management in Education: A Web-Based System Combining Facial Recognition and QR Code Technology

• Main Authors: Emily Sing, Kiang Siew, Chong, Zhi Yan, Sze, Sah Nah, Richki, Hardi
• Format: Article
• Language: English
• Published: Semarak Ilmu Publishing 2024
• Subjects: QA76 Computer software
• Online Access: http://ir.unimas.my/id/eprint/43575/2/Streamlining.pdf; http://ir.unimas.my/id/eprint/43575/; https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/4713
• Institution: Universiti Malaysia Sarawak

Attendance tracking has long posed challenges in educational institutions due to the inefficiency and error-prone nature of traditional paper-based methods. In response, many institutions have embraced web technologies and automated attendance systems, incorporating biometrics, QR codes, barcodes, and RFID-based technologies. However, the applicability of these systems may vary across different educational settings. This paper introduces a web-based student attendance management system that combines facial recognition technology and QR codes to address the challenges associated with manual attendance tracking in a university college. The system leverages a centralized database for streamlined monitoring and auditing of attendance records, offering the flexibility to choose between face recognition and QR code attendance marking options. User acceptance tests were conducted to evaluate the system's effectiveness, and the results indicate that the proposed system greatly improves attendance tracking transparency and demonstrates high usability based on positive user ratings. Additionally, the preference for face recognition over QR code scanning was evident. Incorporating these technologies into the automated attendance system represents a substantial advancement in educational technology, offering an accurate and efficient way of recording attendance.