Main Article Content
The objective of this research were to develop an application prototype to verify attendance using facial recognition technology. Study of the student's attendance process found that the problem of attending classes was not punctual. The result shown students did not have the right to take the exam in that particular course and may be a problem in the future. In addition, the problem with the examination of attendance Instructors could not check the complete list at the time of commencement of the course. Attendance verification application prototype using facial recognition technology developed by Java script and Python language for application development which helps teachers and learners helped teaching activities effectively. The results of the research can be summarized as follows: 1) A prototype of an application was verify attendance using facial recognition technology was obtained. Work more efficiently, convenient, faster and get information. Characteristics of attending classes Improved tracking of learners' behavior in class attendance after modifying the attendance verification model 2) The results of the experts' assessment on the attendance verification application model using facial recognition technology in the overall picture got a consistency value of 0.88, indicating that the model worked have been appropriately consistent Appropriate for all users. 3) Satisfaction assessment results of satisfaction with the application model to check attendance using facial recognition technology. Out of 30 users, the overall average was 4.18 percent and the standard deviation was 0.67, indicating a very good level of satisfaction.
1. Any views and comments in the FEU Academic Review Journal are the authors’ views. The editorial staff have not to agree with those views and it is not considered as the editorial’s responsibility.
2. The responsibility of content and draft check of each article belongs to each author. In case, there is any lawsuit about copyright infringement. It is considered as the authors’ sole responsibility.
3. The article copyright belonging to the authors and the Far Eastern University are copyrighted legally. Republication must be received direct permission from the authors and the Far Eastern University in written form.
Banlue, S. & Inthasaeng, K. (2020). The efficiency of a class attendance monitoring system with face recognition by using LBP technique. Journal of Roi Et Rajabhat University. 14(1), 147-158. [In Thai]
Bootmas, C. (2017). Data Logging of Building Access using Face Recognition: A case study of Ammat Charoen Provincial court. (Master’s independent studies, Master of Science in Information Technology, Ubon Ratchathani University). [In Thai]
Chomphoonut, W. & Verapan, P. (2017). The Development of Student Attendance Behavior Information System for Khongphaiwitaya School. In Proceedings of the 4th National Kamphaeng Phet Rajabhat University Conference, Kamphaeng Phet Rajabhat University, December 22, 2017. (pp. 284-292). Kamphaeng Phet: Kamphaeng Phet Rajabhat University. [In Thai]
Crouzet, M., Kirchner, H. & Thorpe, J. S. (2010). Fast saccades toward faces: Face detection in just 100ms. Journal of Vision. 10(4), 1-17. Retrieved March 4, 2020, from https://jov.arvojournals.org/article.aspx?articleid=2121090
Dullayachai, K. Changkamanon, A. & Khemapech, I. (2017). Class Attendance Checking System using a Smart Device. FEU Academic Review. 11(Special issue), 125-133. [In Thai]
Saparkhojayav, N., Shakhov, E. & Mailybayev, Y. (2016). Mobile Attendance Checking System on Android Platform for Kazakhstani University. Journal of Physics: Conference Series. 710, 1-9. Retrieved May 21, 2020, from https://iopscience.iop.org/article/10.1088/1742-6596/710/1/012013/pdf.
Siricharoen, W., Sukwilai, A. & Kheamwong, V. (2014). The Database Prototyping Development of Research Department, University of the Thai Chamber of Commerce. Sripatum Review of Science and Technology. 6(1), 32-45. [In Thai]