AI Based Vehicle Information and Fraudulent Detection System

Abstract

The proposed system uses AI model for number plate detection. It uses computer vision and machine learning. The system checks the vehicle number plates in real time using Raspberry pi, a camera, Open CV, OCR (Optical Character Recognition) and YOLO model. This system uses a Raspberry Pi, a camera, OpenCV, OCR, and the YOLO model. These tools work together to examine car number plates in real-time. The system can automatically identify car registration details from photos and videos. This capability is particularly useful for Regional Transport Office work and helps to prevent fraud. The technology uses artificial intelligence to catch fake activities, like stolen or fake license plates, with high accuracy. The goal is to offer a solution that can grow in size and is low-cost for real-world use. This research aims to boost automated law enforcement and smart traffic monitoring.