International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 04 | Apr 2023
p-ISSN: 2395-0072
www.irjet.net
AUTOMATED PROCTORING SYSTEM Jay Mayekar1, Shubham Pal2, Aditya Pandey3, Bikram Pani4, Prof. Preeti Mishra5 1Jay Mayekar, Dept of Information Technology Engineering, Atharva College of Engineering 2Shubham Pal, Dept of Information Technology Engineering, Atharva College of Engineering 3Aditya Pandey, Dept of Information Technology Engineering, Atharva College of Engineering 4Bikram Pani, Dept of Information Technology Engineering, Atharva College of Engineering 5Prof Preeti Mishra, Dept of Information Technology Engineering, Atharva College of Engineering
Maharashtra, India ------------------------------------------------------------------------***----------------------------------------------------------------------1. PROBLEM STATEMENT Abstract - Remote learning has grown over the years majorly due to the pandemic. Learning has transferred to apps like Google Meet, Microsoft Teams, Zoom, and others. The practical knowledge gained by students deteriorated due to online learning. Students started attending lectures only for the sake of attending them. The growth factor of students declined which should have affected their grades overall however, the results were a total surprise. The majority of the students outperformed their average score. This is a result of the fact that institutions lacked a proper way to perform an organized evaluation. To tackle this problem many schools and colleges came up with their own reasonable approaches. Some universities implemented remote proctoring which involved a manual proctor keeping watch on all student activities. In spite of this students still manage to cheat and score more marks through unfair means. This just isn’t enough to tackle such an important problem. A system that can assist in analyzing unfair tactics used by students was much needed.
The accessibility of online tests provides various advantages however, it also introduces a new set of challenges for the actual assessment of the tests. Many factors come into play when conducting an examination online. A classroom test can be conducted smoothly with the help of a physical supervisor as it allows simultaneous monitoring of students in a restricted environment. Online tests on the other hand make it difficult as students do not share any physical environment with the proctor. Thus, we got the idea of creating an AI system that monitors the student during their tests. This system should also hold a log of the malpractices to keep a track of a student’s behavior. These logs can be manually verified later to inspect any student’s case further.
2. INTRODUCTION
In this paper, we have developed an automated proctoring website utilizing various technologies like computer vision, object detection, etc. It includes various measures to prevent the use of unfair means that students may use during their examinations. It comprises features like eye gaze tracking, mouth open detection, object detection and identification, head position detection, and face detection. Here we present techniques and tools through which the proctor need not be present throughout the exam. This is based on neural networks and machine learning. All of this combined creates a smart system that can detect any malpractice that may occur during their tests. This system hopes to make the world of examination, supervision, and proctoring function smoother and more effectively. This research will reveal ways to prevent cheating in online assessments using technologies like computer vision to provide proctoring and monitor multiple students at a time.
The pandemic led to the shifting of academics to an online mode which led to the reinvention of systems aiding online education. This poses a major challenge not only from a learning point of view but also from the perspective of examinations. Conducting examinations without any wrongdoing is a big challenge for institutions. The number of internet users in our country has doubled over the past 6 years. This has been a boon for many institutions, students, and other learning platforms. This facilitated institutions to conduct examinations online, bringing the concept of online proctoring to the academic level. The main goal of a proctoring system is to allow the invigilators to proctor remotely. Many institutions adopted this set of manual online proctoring but this led to almost no improvement in the process of stopping malpractices. A good online proctoring system must include all the features that may be needed by a proctor during the offline mode of examinations. It should be able to detect movement, sound, and eye movement and give reasonable warnings to the students in case of any misconduct.
Key Words: Remote Learning, Automated proctoring system, Computer vision, Object Detection, Open Mouth detection, Online Tests, Online Exam Proctoring, Examinations.
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