Abstract-Examination malpractice is a dishonest conduct by a candidate prior to examination and through the examination to attain success effortlessly. Examination malpractice is a plague that heralds severe menace for the nation and has constantly remained a bother in the Nigerian educational system. Supervising examination has been manual since the inception of examinations in Delta State University. Likewise, most of the State Universities and Federal Universities in Nigeria utilize manual supervision of examination though visit by examination supervisors. Thus, this research paper presents a virtual examination supervision system (VESS) that checks candidates who are writing examination. VESS is an information technology approach towards curbing the problem of cheating in examination hall, using computer vision motion detection technique on real-time IP-camera video stream from examination. The implementation and practical experiment of VESS was carried out in Delta State University and result analysis indicated shift in position by examinees during examination at every milliseconds, which is difficult for human eye to monitor accurately and other cases such as copying and impersonation. These further proved that VESS is a solution to mitigating examination malpractice of all kinds and protection of the invigilators. Furthermore, the stored result in VESS can be used as evidence to punish the culprit.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.