Visual Distance Fraudulent Detection in Exam Hall using YOLO Detector

Abstract

Today's situation is risky because safety and monitoring must come first. It is defined as the action that is unusual in nature that deviates from the norm in a specific context. Exams are frequently monitored by invigilators manually or by video surveillance in exam halls all around the globe. Monitoring a test facility involves a lot of the personal and time. When using interdisciplinary approaches, the manual process of exam rooms is likely to be inaccurate. When created, an “Abnormal Behavior Detection Technique” would not only help identify hazardous actions, but also help reduce them. This study will cover a broad variety of strategies for outlier identification and classification, as well as their pros and downsides. The entire future of the any new unusual species uncovered in the exam auditorium would be purposeful after the experiment.