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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM36926

AI based Online Proctoring Remote Monitoring Intruder, Emotion Detection and Distance Estimation

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM36926

Volume:

8 |

8 |

Aug 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM36926

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.

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Authors

SB

Subrahmanyam BHVSP

CB

Chandrasekhar Balabhadrapatruni

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Abstract

AI based online learning has undeniably surged in popularity over recent years. The COVID-19 pandemic has further accelerated the transition to online education, heightening the need for secure methods to authenticate and proctor online students. Today, a range of technologies offers varying levels of automation. In this paper, we present a comprehensive analysis of a specific solution that integrates multiple automated authentication technologies with an automatic proctoring system. The parameters that we used to achieve our goal are face detection, eye gaze tracking, multiple person detection, emotion detection, distance estimation and background noise detection. All these components help to maintain the exam integrity and to mitigate the existing limitation of e-exam proctoring software’s.

KEYWORDS

AI based online learning Exam remote Monitoring integrity Gaze tracking Intruder distance estimation.

Cite This Article

Subrahmanyam BHVSP, Chandrasekhar Balabhadrapatruni, "AI based Online Proctoring Remote Monitoring Intruder, Emotion Detection and Distance Estimation," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 8, Aug 2024. https://doi.org/10.55041/IJSREM36926

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Publication Date

2/7/2024

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