STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Web Engineering & Technology Review Article

Monitoring System for Students During Online Exams

  1. Javeed Maniyar Department of Master of Computer Application, SECAB Institute of Engineering and Technology Vijayapur
  2. Nyamatulla Patel Department of Master of Computer Application, SECAB Institute of Engineering and Technology Vijayapur

Abstract

Remote learning has taken residence owing to the effect of COVID-19. Despite the details and many educational institutes were compulsory to close, students were able to complete their degrees using online platforms. Exams, on the other hand, remain unsolved. It’s been modified to a copy-and-paste assignment form for around, while others have just canceled them. If our current lifestyle is to become the new standard, there necessity to be a remedy. If the test-taker is gazing to the left, right, or up, we’ll be able to tell if he’s doing copy so to check out a notepad or indicate to someone. Further image processing may be finished using Dribs’ face key point detector and OpenCV. For detecting webcam streams, we used the pre-trained weights of YOLOv3, which was trained on the COCO dataset. In this method, we did the authentication of the exam taker during the online examination.

Keywords

References (13)

  1. Okofu S, Anazia EK, Akazue M, Ogeh C, Ajenaghughrure IB. The interplay between trust in human-like technologies and integral emotions: Google Assistant. Kongzhi yu Juece Control Decis. 2023;38(1). Available from: https://www.kzyjc.org/article/the-interplay-between-trust-in-human-like-technologies-and-integral-emotions-google-assistant
  2. Sukmandhani AA, Sutedja I. Face Recognition Method for Online Exams. 2019 International Conference on Information Management and Technology (ICIMTech). 2019:175-179. doi:10.1109/icimtech.2019.8843831
  3. VenkateswarLal P, Nitta GR, Prasad A. RETRACTED ARTICLE: Ensemble of texture and shape descriptors using support vector machine classification for face recognition. Journal of Ambient Intelligence and Humanized Computing. 2019;15(S1):47-47. doi:10.1007/s12652-019-01192-7
  4. Fayyoumi A, Zarrad A. Novel Solution Based on Face Recognition to Address Identity Theft and Cheating in Online Examination Systems. Advances in Internet of Things. 2014;04(02):5-12. doi:10.4236/ait.2014.42002
  5. Ali W, Tian W, Din SU, Iradukunda D, Khan AA. Classical and modern face recognition approaches: a complete review. Multimedia Tools and Applications. 2020;80(3):4825-4880. doi:10.1007/s11042-020-09850-1
  6. Navaz AS, Dhevisri T, Mazumder P. Face recognition using principal component analysis and neural networks. Int J Comput Netw Wireless Mobile Commun. 2013;3:245–256.
  7. Dhaval Sinh MK, Solanki V. A survey on face recognition techniques. J Image Process Pattern Recognit Progress. 2013;4.
  8. Associate Professor, JNTUHCEH, Kukatpally, Hyderabad, India., Kranthikiran* DB, Pulicherla DP, Professor, Department of CSE, Teegala Krishna Reddy Engineering College, Hyderabad, India. Face Detection and Recognition for use in Campus Surveillance. International Journal of Innovative Technology and Exploring Engineering. 2020;9(3):2908-2913. doi:10.35940/ijitee.b7682.019320
  9. Okpeki U. Application of artificial intelligence for facial accreditation of officials and students for examinations. FUPRE J Sci Ind Res. 2022;6:1–1.
  10. Adzmi FMA, Husin MBA, Halim SNAAH, Arshad IH, Rosman MRM. The usage of Examination Management system (EXAM) to monitor examination activities [unpublished manuscript]. University Teknologi MARA Kelantan, Malaysia. 2019. Available from: https://ir.uitm.edu.my/id/eprint/95150/.
  11. Tubolayefa D, Akazue MI, Okofu SN. Development of an Online Examination Monitoring System using Zoom. International Journal of Computer Applications. 2023;185(40):1-10. doi:10.5120/ijca2023923146
  12. Ihama EI, Akazue MI, Omede E, Ojie D. A framework for smart city model enabled by Internet of Things (IoT). Int J Comput Appl. 2023;185:1–1.
  13. Ajinaja M. The design and implementation of a computer based testing system using component-based software engineering. Int J Comput Sci Technol. 2017;8:58–65.
Support