Development of a Digital Camera-Based Attendance System for University Students

Abstract

This research aimed to 1) develop a process for counting class time and screening for diseases using digital camera technology, 2) develop an application for managing class time and screening for diseases, and 3) evaluate and monitor the performance of the developed system. This study involved designing a process for counting class time and screening for diseases. The study population was students from the Faculty of Business Administration and Information Technology. The sample group was students from the Digital Business Technology program at Rajamangala University of Technology Suvarnabhumi. The prototype was tested using facial recognition technology and temperature measurement to screen and record data in a cloud database. The system has a notification mechanism via the Line application for risk groups to inform those involved to prepare and respond appropriately. The research results indicated that the developed process for counting class time and screening for diseases can effectively assess those at risk of COVID-19 with high efficiency (mean=4.85, standard deviation=0.47). The accuracy testing group consisted of 30 Digital Business Technology program students. Each person was tested three times. The test results showed that the facial recognition and temperature measurement programs had an accuracy of ±0.3 degrees Celsius. Expert evaluations of the system performance also indicated high overall performance (mean=4.81, standard deviation=0.52).

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Author Information
Suwit Somsuphaprungyos, Rajamangala University of Technology Suvarnabhumi, Thailand
Anek Putthidech, Rajamangala University of Technology Suvarnabhumi, Thailand
Amnaj Sookjam, Rajamangala University of Technology Suvarnabhumi, Thailand
Sangtong Boonying, Rajamangala University of Technology Suvarnabhumi, Thailand
Nutthawat Mudpetch, Rajamangala University of Technology Suvarnabhumi, Thailand