International Journal of Electrical and Data Communication
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P-ISSN: 2708-3969, E-ISSN: 2708-3977

2024, Vol. 5, Issue 2, Part A


YOLO-based face recognition for automatic cheating detection in examination environments


Author(s): Dr. Anjali Adhikari

Abstract: The integrity of examinations is critical to academic and professional success. Traditional methods of monitoring exam halls are often inadequate in detecting and preventing cheating. This paper presents a novel approach for automatic cheating detection in examination environments using the YOLO (You Only Look Once) object detection algorithm combined with face recognition technology. Our system aims to enhance the accuracy and efficiency of surveillance during exams. We evaluate the effectiveness of our approach through a series of experiments and provide insights into its performance, highlighting significant findings and potential implications for academic institutions.

Pages: 29-32 | Views: 268 | Downloads: 148

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International Journal of Electrical and Data Communication
How to cite this article:
Dr. Anjali Adhikari. YOLO-based face recognition for automatic cheating detection in examination environments. Int J Electr Data Commun 2024;5(2):29-32.
International Journal of Electrical and Data Communication
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