Online Exam Proctoring System

Authors

  • Prof. Mrs. Nerkar M. P. -
  • A.T. Awaghade Computer Engineering Dept, Aissms’s Ioit, Pune
  • D. A. Bombe Computer Engineering Dept, Aissms’s Ioit, Pune
  • T. R. Deshmukh Computer Engineering Dept, Aissms’s Ioit, Pune
  • K. D. Takawane Computer Engineering Dept, Aissms’s Ioit, Pune

Keywords:

User verification, Gaze Estimation, Speech Detection, Face Detection,ProctoringSystem, Integrated System, Cheating Detection, Continues identity verification, Manual Check, Audio processing, Eye Blink detection

Abstract

Online education is helping students and institutions worldwide to accessknowledge base of wide variety. This
form of learning and education is increasing rapidly, Evaluation and proctoring for the online courses has becomea
major bottleneck for scalability of such learning systems. Manual humansupervision is a common approach for exam
proctoring and evaluation whereexaminer needs to b e present in the testing environment or needs to monitortesting
environment of a test taker visually and acoustically through a webcam. In our proposed system, we present a completely
automated, examproctoring solution that requires no human involvement. The system integrates all the inputs to process
and estimate the variety of events, behaviorsand patterns typically associated with cheating. By combining continuous
identity verification and automatic detection of malpractice or suspiciousactivities by a student, this system provides a
scalable, online,completelyautomated, human interaction free proctoring system that can b e accessedby test takers and
administrators to a truly efficient solution to conventional problem of online exam proctoring.

Published

2022-08-23

How to Cite

Prof. Mrs. Nerkar M. P., A.T. Awaghade, D. A. Bombe, T. R. Deshmukh, & K. D. Takawane. (2022). Online Exam Proctoring System. International Journal of Advance Engineering and Research Development (IJAERD), 4(12), -. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/5877