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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM12078
Volume:
6 |
3 |
Mar 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In this pandemic situation of Covid-19, online learning has blossomed. All the schools and universities have been shut down and they were switched to online applications to finish their academic activities. However, there has been great trouble in conducting examinations. Some institutions have moved it to an assignment form where students can just copy and paste their answers from the internet. Exam cheating is a common occurrence around the world, regardless of the country’s degree of development. Exam monitoring has gotten more difficult to control as e-learning has grown in popularity. As a result, continual real-time surveillance is required to protect the student’s identity during the evaluation period. As a result, we describe an online exam proctoring system in this paper that allows for automatic and continuous monitoring. Face recognition is used in the deployed solution to ensure strong student verification. To improve the performance of the suggested system, we created numerous parameters to detect any fraudulent behaviour while the candidate is using the exam management system.
KEYWORDS
Publication Date
3/30/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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