Automated Parking Lot Management System Using Number Plate Recognition

Abstract

In modern era, due to the rapid growth of vehicles had led to a significant increase in parking spaces in areas such as work spaces, business parks etc. Parking management has become a tenacious task to carry out. Wherein, this research paper proposes an Automated parking lot management system using a state-of-the art technology, which is Number Plate Recognition. This Automated parking lot management system using number plate recognition utilizes a Scale Invariant Feature Transform (SIFT) algorithm which aims in providing accurate detection and recognition of the vehicle's number plate. This SIFT algorithm is implemented using MATLAB Simulink. A collection of 136 vehicles dataset is taken to validate and assist system's performance. This system identifies and matches to the vehicle's number plate present in the dataset by using the app camera. When a match is detected, permission is granted for the vehicle to access the parking facility. In the absence of a match, the system impedes the vehicle and prompts the owner to settle the parking fee. The primary aim of this mechanism is to oversee and regulate the ingress and egress of vehicles in the parking area through the utilization of Number Plate Recognition technology. © 2025 IEEE.