Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16482
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSingh, Tripty-
dc.contributor.authorNair, Rekha R-
dc.contributor.authorBabu, Tina-
dc.contributor.authorDuraisamy, Prakash-
dc.date.accessioned2024-08-29T05:41:18Z-
dc.date.available2024-08-29T05:41:18Z-
dc.date.issued2024-
dc.identifier.citationVol. 235; pp. 1399-1408en_US
dc.identifier.issn1877-0509-
dc.identifier.urihttps://doi.org/10.1016/j.procs.2024.04.131-
dc.identifier.urihttps://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16482-
dc.description.abstractThe issue of cheating during exams has become a significant concern, gaining widespread attention from the public and media. This issue has been made worse by the transition of educational institutions to an online format, making it simpler to engage in academic dishonesty. To overcome this problem, developed an innovative solution known as the Online Exam Proctoring Model using You Only Look Once (YOLO) Model. With the use of cutting-edge computer vision algorithms, the proposed model makes use of data from cameras and microphones to automatically spot and prevent cheating during online exams. Face orientation, face spoofing detection, mouth tracking, audio analysis, mobile device recognition, and person counting are among the primary elements built into the model. Object detection algorithms, in conjunction with pre-trained YOLO weights, empower the model to detect mobile devices and count the number of individuals present in the exam environment. The automatic termination of exams upon detection of mobile devices, multiple persons, or no persons for 10 seconds acts as a strong deterrent against cheating. The suggested methodology created a reliable and effective tool for online examinations, guaranteeing the academic integrity and enabling impartial assessment of the skills and knowledge of learners. By implementing this solution, educational institutions can foster a secure online exam environment, promoting a culture of honesty and trust between students and educators. As navigate the evolving environment of education, the model stands as a reliable ally in upholding the credibility and authenticity of online learning experiences. © 2024 Elsevier B.V.. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherProcedia Computer Scienceen_US
dc.publisherElsevier B.V.en_US
dc.subjectAntispoofingen_US
dc.subjectMediapipeen_US
dc.subjectOnline Exam Proctoringen_US
dc.subjectPyaudioen_US
dc.subjectYou Only Look Onceen_US
dc.titleEnhancing Academic Integrity In Online Assessments: Introducing An Effective Online Exam Proctoring Model Using Yoloen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

Files in This Item:
File SizeFormat 
1-s2.0-S187705092400807X-main.pdf1.2 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.