期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2022
卷号：4
期号：4
页码：486-492
DOI：10.35629/5252-0404216222
语种：English
出版社：IJAEM JOURNAL
摘要：The COVID-19 pandemic has brought a digital world era of online learning. With the closure of schools and colleges, learning has shifted to online applications. A majority of colleges and schools have changed their curriculum to work with the current situation. Due to the digital way of learning, students started attending lectures solely for the sake of attendance, thereby deteriorating their practical knowledge. Their grades and scores should have fallen with all of this, but that was not the case. They did quite well. In fact, most of the students exceeded their average score. Due to the lack of a way to proctor students during their online exams and prevent them from engaging in malpractice, there is no way to restrict students from doing so. To solve the given problem, it is required that a system be devised that can aid in analyzing different cheating techniques used by students to resolve this issue. To work with the proctoring procedure in the online examination is a big issue for colleges. In this paper, we develop an online platform that can be used for technical and coding assessments with proctoring procedures to prevent students from cheating and performing malpractices. This platform would eliminate the need for the presence of human invigi lators. Through this paper, we create a solution that provides a variety of different proctoring methods to keep eye on the students throughout the exam period, such as eye movement tracking, different object identification, mouth movement, and different head positions estimate using face recognition. This will help the examiner in detecting whether the student has used any unfair means to cheat.
关键词：Automated Proctoring;Fair Examination;Face Detection;Object Detection;Malpractice;Webcam Monitoring;Voice Recording;Snapshots;Lock Full Screen Mode
