International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Using Video Surveillance for Cheating detection in Exam Hall

Author(s) Harsh Sokiya, Snehajeet Jamankar, Minal Sonkar
Country India
Abstract This review delves into the assessment of video surveillance technology's role in detecting cheating within the context of examination halls. In light of the escalating concerns surrounding academic dishonesty, educational institutions are progressively turning to advanced technological measures to uphold the integrity of their examination procedures. Video surveillance has emerged as a promising tool in this domain, offering a non-intrusive means of monitoring examinees during tests. This critical analysis assesses the effectiveness, advantages, and potential limitations of deploying video surveillance for the purpose of detecting cheating, shedding light on the ramifications for educational institutions and their students. Furthermore, it delves into the ethical and privacy issues associated with this technology and suggests possible avenues for addressing them. By presenting an overview of the current landscape of video surveillance in examination settings, this review intends to provide valuable insights for educators, administrators, and policymakers aiming to fortify the credibility of their assessment procedures.
Keywords Object detection, Cheating in exam hall, YOLO, OpenCV, Tensorflow.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-04-30
Cite This Using Video Surveillance for Cheating detection in Exam Hall - Harsh Sokiya, Snehajeet Jamankar, Minal Sonkar - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.19174
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.19174
Short DOI https://doi.org/gts4p5
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