International Journal For Multidisciplinary Research

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

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 4 July-August 2024 Submit your research before last 3 days of August to publish your research paper in the issue of July-August.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 4
July-August 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

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
View / Download PDF File

Share this


E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 4 Cover Page Vol 6 Isu 3 Cover Page Vol 6 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-5948-55 editor@ijfmr.com