Paper Title
Automatic cheating detection of exam hall
Article Identifiers
Authors
ROOPIKHA SARAVANAN , roshini saravanan , rithika pandian
Keywords
Cheating Detection, Deep Learning, Object Detection, Smart Invigilation, YOLOv5.
Abstract
Exams are commonly used by educational institutions to evaluate students' strengths and weaknesses. However, students often cheat during physical exams by exchanging papers, using hidden notes, and fulfilling their parents' expectations, among other things. Due to physical limitations, traditional invigilation methods cannot effectively monitor exams while maintaining their integrity. To address this issue, this study proposes an automated method based on computer vision, which uses closed-circuit television (CCTV) cameras to detect suspicious behavior during physical exams. The proposed method employs You Only Look Once (YOLOv5) with residual networks as the backbone architecture to inspect cheating. The results demonstrate that the proposed method is credible and efficient, achieving 88.03% accuracy in detecting cheating in the classroom environment. Overall, this work shows promising results for invigilating students during exams.
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How To Cite (APA)
ROOPIKHA SARAVANAN, roshini saravanan, & rithika pandian (November-2023). Automatic cheating detection of exam hall. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(11), a834-a843. https://ijnrd.org/papers/IJNRD2311094.pdf
Issue
Volume 8 Issue 11, November-2023
Pages : a834-a843
Other Publication Details
Paper Reg. ID: IJNRD_208500
Published Paper Id: IJNRD2311094
Downloads: 000121983
Research Area: Engineering
Country: chennai, Tamil Nadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2311094.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311094
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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