Authentication and Parking of the Vehicle Using License Plate Detection and Recognition in the Campus

Abstract

A variety of applications, including automated toll collection, traffic law enforcement, security monitoring of restricted locations, and unattended parking lots, rely on license plate recognition (LPR) or Vehicle Number Plate (VNP). LPR methods differ depending on the application due to various operating circumstances. It is imperative that the vehicle has permission to enter the grounds in a number of public settings, including hospitals, airports, schools, and universities. There are restrictions on automotive admission to specific regions in some public venues, such as hospitals, universities, community centers. Parking vehicles in approved spots really does matter in public areas. In university and collages the number of the vehicles usage and intake is more. The allotting the slots to them during the peak hour and authorizing the vehicle is very much difficult and it is tedious job. Automated license plate detection (ANP/AVNP), which frees us up to focus on parking the vehicle while simultaneously verifying its authenticity, is a solution we propose to prevent such situations. The proposed model first pre-processes the images and later segments the image before identifying and classifying the vehicle. Based on the categorization, the parking place will be allotted to the particular car. In order to segment characters, the bounding box method and blob detection are used. The character is then identified using OCR (Optical Character Recognition). After the VNP has been found and identified, it is checked in the main database to see if entrance into the Campus has been granted. If VNP is the visitor, then the slot will be assigned daily.