Implementation of a Real-Time Vision Based Vehicle License Plate Recognition System

Abstract

Abstract: Automatic Number-plate recognition is a technology that uses visual cues in images to read vehicle registration plates to create vehicle location data. It can use closed television, traffic law cameras, or cameras designed for work. ANPR is used by police around the world for legal purposes, including checking whether a vehicle is registered or licensed. It is also used for the collection of electronic toll on individual toll roads and as a catalyst for traffic mobility, for example by highway agencies. The automatic number plate recognition can be used to store camera-captured images and text from the license plate, another configurable to save the driver's image. Systems usually use infrared light to allow the camera to take pictures at any time of the day or night. An Intelligent Vehicle Safety recording system that uses image processing usually requires a large internal memory register or DDR SDRAM (Random Double Data Access) for temporary video and photos. But these processes often increase the complexity of hardware and software. In this program, we propose a VLSI implementation for a photographic route departure system. It is not only a calculation of line melting and discrimination outside the line, but also a real-time analysis of car tires on the left and right side of the track marker with a video image, and then judge the car offsets phenomenon. Keywords: ANPR, Artificial Intelligence, Government Tracking, Security etc.