RFID and Facemask Detector Attendance Monitoring System

Main Article Content

Yih Haw Wong
Gin Chong Lee
Hock Kheng Sim


The article emphasizes the significance of attendance monitoring for safety during the COVID-19 pandemic and proposes an RFID-based solution coupled with face mask detection systems to address attendance challenges. The project aims to create a contactless monitoring system that ensures face mask compliance and provides real-time attendance data for data-driven decision-making. The article also covers various technology-related topics, including the historical usage of face masks, the development of attendance systems using biometric identification and electronic methods, and facial recognition technology's applications in surveillance and finance. It introduces XAMPP, a user-friendly web application development and testing tool, and presents an overview of the IC7408 chip used in digital electronics. The study's key findings show that increasing sample size and optimizing epochs and batch size improve face mask detection accuracy, while RFID scanner distance affects scanning delay and accuracy. The research provides valuable insights into the performance of the proposed attendance monitoring system.



(Manuscript received: 23 June 2023 | Accepted: 10 August 2023 | Published: 30 September 2023)

Article Details

How to Cite
Wong, Y. H., Lee, G. C., & Sim, H. K. (2023). RFID and Facemask Detector Attendance Monitoring System . International Journal on Robotics, Automation and Sciences, 5(2), 14–24. https://doi.org/10.33093/ijoras.2023.5.2.2


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