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Home / Archives / Volume-5 / Issue-2 / Article-10

Volume - 5 | Issue - 2 | june 2023

Automated Invigilation System Using MediaPipe and Haar Cascade Frontal Algorithm Open Access
Sajid PM  , Kshithy Ravindran, Dharsana C, Sreeram CV, Manoj M  103
Pages: 210-222
Cite this article
PM, Sajid, Kshithy Ravindran, Dharsana C, Sreeram CV, and Manoj M. "Automated Invigilation System Using MediaPipe and Haar Cascade Frontal Algorithm." Journal of Information Technology and Digital World 5, no. 2 (2023): 210-222
DOI
10.36548/jitdw.2023.2.010
Published
01 July, 2023
Abstract

Exams are the methods adopted by educational institutions to identify student’s knowledge. Students adopt various ways to cheat in exams like answer sheet exchanging, copying etc, students cheat their way into getting good grades. Detection of cheating manually may not be efficient to identify and prevent cheating during examinations. So, to avoid this the process of invigilation is made automatic. Automated invigilation offers the best method for keeping an eye on the kids and spotting instances of malpractice right away. The proposed work has three phases. In the first phase, the exam management does processes like publishing time table, allocating exam hall, allocating hall to staff etc. In the second phase the posture detection of the student present in the exam hall is done using Computer Vision and Media Pipe to detect whether the student has involved in the malpractice. In the third phase, the emotion analysis and face recognition of the student is done using the Haar Cascade Frontal Algorithm. The proposed work also helps to eliminate impersonation in the exam hall.

Keywords

Malpractice Impersonation Computer Vision MediaPipe Haar Cascade Frontal Algorithm

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