3641b2ba-6bcd-436f-a807-137dc1e4af9c20210111040210865naunmdt@crossref.orgMDT DepositInternational Journal of Education and Information Technologies2074-131610.46300/9109http://www.naun.org/cms.action?id=3037430202043020201410.46300/9109.2020.14http://www.naun.org/cms.action?id=23206C.RatanaubolKing Mongkut’s University of Technology North Bangkok ThailandP.WannapiroonKing Mongkut’s University of Technology North Bangkok ThailandP.NilsookKing Mongkut’s University of Technology North Bangkok ThailandFace recognition technology is widely used in applications. But in some activities it may be too difficult to install the device and the registration boot. That requires both manpower and time, such as enrolling students to attend university activities. If you will use the face scanning system, one by one will waste a lot of time. The other method. It may be easy to falsify. Using digital imagery in student participation to solve problems by developing a system that can detect participants' faces in digital photographs obtained by taking still images and videos from several photographers. And collecting detailed pictures and videos throughout the event it is a digital proof to find the participants to verify their faces match with any student in the database. Who participate in that activity, the system will have Finding and comparing data of pre-recorded students' photographs and the algorithm would checks for duplicate data and records the activity in the database. Where users can specify category or activity name for later inspection11120211112021142152http://www.naun.org/main/NAUN/educationinformation/2020/a342008-017(2020).pdf10.46300/9109.2020.14.17http://www.naun.org/main/NAUN/educationinformation/2020/a342008-017(2020).pdf10.1016/j.neucom.2016.12.095H. Zhang, J. Yang, J. Qian and W. Luo, "Nonconvex relaxation based matrix regression for face recognition with structural noise and mixed noise," Neurocomputing, vol. 269, pp. 188-198, 2017. 10.1007/s11042-016-4153-0J. Wang, T. Li, Y. Q. Shi, S. Lian and J. Ye, "Forensics feature analysis in quaternion wavelet domain for distinguishing photographic images and computer graphics," Multimedia Tools and Applications, vol. 76, no. 22, pp. 23721-23737, 2017. A. Velicanu, I. Lungu, V. Diaconita and C. Nisioiu, "The 9 th International Scientific Conference eLearning and software for Education," pp. 380-386, 2013. 10.1016/j.patcog.2017.08.003S. Soltanpour, B. Boufama and Q. M. Jonathan Wu, "A survey of local feature methods for 3D face recognition," Pattern Recognition, vol. 72, pp. 391-406, 2017. 10.1016/j.amc.2017.07.058K. Shang, Z. H. Huang, W. Liu and Z. M. Li, "A single gallery-based face recognition using extended joint sparse representation," Applied Mathematics and Computation, vol. 320, pp. 99-115, 2018. 10.1007/s12564-019-09580-6M. Salam, D. N. Awang Iskandar, D. H. A. Ibrahim and M. S. Farooq, "Service learning in higher education: a systematic literature review," Asia Pacific Education Review, vol. 20, no. 4, pp. 573-593, 2019. 10.13187/ejced.2018.3.541I. V. Romanova, L. N. Ponomarenko, A. N. Kibishev and M. M. Susloparova, "Civil values awareness formation in high school students within the educational process," European Journal of Contemporary Education, vol. 7, no. 3, pp. 541-553, 2018. 10.1186/s41239-019-0136-3L. Pham, Y. B. Limbu, T. K. Bui, H. T. Nguyen and H. T. Pham, "Does e-learning service quality influence e-learning student satisfaction and loyalty? Evidence from Vietnam," International Journal of Educational Technology in Higher Education, vol. 16, no. 1, 2019. 10.1016/j.neucom.2015.11.137B. S. Oh, K. Oh, A. B. J. Teoh, Z. Lin and K. A. Toh, "A Gabor-based network for heterogeneous face recognition," Neurocomputing, vol. 261, pp. 253-265, 2017. 10.1016/j.asoc.2017.07.057L. Nanni, A. Lumini and S. Brahnam, "Ensemble of texture descriptors for face recognition obtained by varying feature transforms and preprocessing approaches," Applied Soft Computing Journal, vol. 61, pp. 8-16, 2017. 10.1007/s12650-015-0276-zZ. f. Liao, Y. Li, Y. Peng, Y. Zhao, F. f. Zhou, Z. n. Liao, S. Dudley and M. Ghavami, "A semantic-enhanced trajectory visual analytics for digital forensic," Journal of Visualization, vol. 18, no. 2, pp. 173-184, 2015. D. Kloss, "the Experiences of Progressive School Students," Journal of Unschooling and Alternative Learning, vol. 12, no. 24, p. 24, 2018. R. A. Khan, M. S. Ahmad and R. U. Khan, "Service-Learning for Youth Leadership," Applied Research in Quality of Life, 2019. 10.1186/s40309-018-0135-yS. Ketonen-Oksi, "Creating a shared narrative: the use of causal layered analysis to explore value co-creation in a novel service ecosystem," European Journal of Futures Research, vol. 6, no. 1, 2018. W. Y. Jo, H. Chang and T. Shon, "Digital forensic science approach by file recovery research," Journal of Supercomputing, vol. 74, no. 8, pp. 3704-3725, 2018. 10.1186/s12909-019-1522-1F. P. Held, C. Roberts, M. Daly and C. Brunero, "Learning relationships in community-based service-learning: A social network analysis," BMC Medical Education, vol. 19, no. 1, pp. 1-10, 2019. J. Harron, J. Langdon, J. Gonzalez and S. Cater, "DIGITAL FORENSICS: Using Smartphones to Explore Metadata in a Simulated Criminal Case," The Science Teacher, vol. 84, no. 8, p. 31, 2017. E. A. Foreman, M. Retallick and S. Smalley, "Changing Demographics in College of Agriculture and Life Sciences Students," NACTA Journal, vol. 62, no. 2, p. 161, 2018. 10.1007/s11423-017-9524-3A. Cohen, "Analysis of student activity in web-supported courses as a tool for predicting dropout," Educational Technology Research and Development, vol. 65, no. 5, pp. 1285-1304, 2017. 10.3991/ijet.v11i03.5294P. Cigoj and B. J. Blažič, "An advanced educational tool for digital forensic engineering," International Journal of Emerging Technologies in Learning, vol. 11, no. 3, pp. 15-23, 2016. 10.5688/ajpe6880K. Begley, K. O’brien, K. Packard, S. Castillo, A. R. Haddad, K. Johnson, K. Coover and A. Pick, "Impact of interprofessional telehealth case activities on students’ perceptions of their collaborative care abilities," American Journal of Pharmaceutical Education, vol. 83, no. 4, pp. 474-482, 2019. 10.1016/j.patcog.2017.06.014S. A. Angadi and V. C. Kagawade, "A robust face recognition approach through symbolic modeling of Polar FFT features," Pattern Recognition, vol. 71, pp. 235-248, 2017. 10.1007/s10586-015-0509-xS. Alqahtany, N. Clarke, S. Furnell and C. Reich, "A forensic acquisition and analysis system for IaaS," Cluster Computing, vol. 19, no. 1, pp. 439-453, 2016. E. Akbar, R. A. Farooq and R. Tabassum, "Effect of Fishbowl Activity on the Academic Achievements of Secondary School Students," Bulletin of Education and Research, vol. 40, no. 1, pp. 11-18, 2018.