An Image Processing Fraud Detecting System Using Optical Sensor

Abstract

This paper presents an image processing fraud detection system utilizing optical sensor technology. With the increasing rate of half-baked graduates and the subsequent decline in the country's economic growth, the need for robust fraud detection mechanisms becomes paramount. Additionally, the rise in non-students infiltrating examination halls to write exams on behalf of others and the prevalence of examination question paper hunting further exacerbate the situation. To address these challenges, we propose an image processing-based system that leverages optical sensors to detect and prevent fraudulent activities during examinations. The system employs advanced image processing techniques to identify suspicious behavior, such as the presence of unauthorized individuals in examination halls or the unauthorized acquisition of question papers. By integrating optical sensor technology into the fraud detection process, educational institutions can enhance the integrity and security of their examination procedures, safeguarding the educational system against fraudulent practices. The results of our study demonstrate the effectiveness of the proposed system in detecting and mitigating fraud, thereby contributing to the overall improvement of educational assessment processes and maintaining the credibility of academic achievements.