Automatic cheating detection of exam hall

Automatic cheating detection of exam hall

Registration ID: IJNRD_208500

Published ID: IJNRD2311094

DOI: Click Here to Get

ROOPIKHA SARAVANAN , roshini saravanan , rithika pandian

Cheating Detection, Deep Learning, Object Detection, Smart Invigilation, YOLOv5.

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.

Published Paper   E-Certificate

" Automatic cheating detection of exam hall", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 11, page no.a834-a843, November-2023, Available :https://ijnrd.org/papers/IJNRD2311094.pdf

Volume 8 Issue 11, November-2023

Pages : a834-a843

Paper Reg. ID: IJNRD_208500

Published Paper Id: IJNRD2311094

Downloads: 000121229

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

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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