Automatic Number Plate Recognition (ANPR) Based Parking Management System Using Machine Learning Algorithms

Abstract

The increasing number of personal vehicles has led to an insufficiency of parking spaces throughout the globe. Traditional parking management systems lack security and cannot track pilferage. This also leads to traffic jams which ultimately reduce the flow of traffic significantly. Therefore, there is a need for a smart parking management solution that can optimize the use of parking spaces, reduce traffic congestion, and enhance the overall parking experience

This paper proposes a smart parking management solution that is based on an application of Computer Vision – ANPR: Automatic Number Plate Recognition or ALPR: Automatic Licence Plate Recognition. This system makes use of cameras and an ANPR engine that runs on ML algorithms.

The proposed solution was evaluated through a series of simulations and tests in a real-world environment. The results showed that the proposed system was able to optimize parking space utilization, reduce traffic congestion, and enhance the overall parking experience for users. The proposed system can be deployed in various parking environments such as shopping malls, airports, and public parking areas.

In conclusion, the proposed smart parking management solution based on ANPR technology can effectively address the challenges of traditional parking management methods and enhance the overall parking experience for users. The proposed system can be further improved through future research and development.