A System to Improve the Monitoring of Paper-Based Exams

Abstract: Monitoring paper-based tests is critical to ensuring the integrity and impartiality of the testing process. This study presents a system for monitoring paper-based exams that makes use of modern technology to automate and streamline the monitoring process. The suggested system uses cameras and software to gather and analyse video footage of the test room, detect any suspicious behaviour, and inform the exam proctor. The system also includes facilities for tracking the movement of exam papers, detecting abnormalities in the exam papers, and detecting any attempts to cheat. This paper examines the design and implementation of the suggested system, as well as its potential benefits for improving the monitoring of offline exams.

Keywords: Object recognition, Object tracking, Object segmentation, Feature extraction, Face Recognition, YOLO, Image Classification.