Title: Facial business sense for university contactless attendance systems

Authors: P.S. JosephNg

Addresses: Faculty of Data Science and Information Technology, INTI International University, Persiaran Perdana BBN, 71800 Nilai, Negeri Sembilan, Malaysia

Abstract: The current usertracking process in universities relies on legacy manualbased authentication and is not accurate in recording activities, as individuals can easily adjust or manipulate the information. With presentday camera technology, authentication now utilises a facial identification framework to record activities. Blendedmode research in universities has concluded that conventional tracking poses challenges in confirming classroom activities, particularly due to large class sizes. Subsequently, this framework aims to address issues of reliability, prevent noshows, and improve the time required to measure activities. The framework incorporates facial authentication processes. The findings of this research highlight the advantages of adopting a facialrecognition tracking framework in academic environments. The facial identification method represents a paradigm shift in authentication tracking in universities, as it is quicker and more effective in recording user participation.

Keywords: attendance system; facial recognition; facial recognition algorithm; wireless attendance system.

DOI: 10.1504/IJBIS.2026.153634

International Journal of Business Information Systems, 2026 Vol.52 No.1, pp.104 - 117

Received: 16 Jul 2021
Accepted: 10 Jul 2022
Published online: 19 May 2026 *

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