License Plate Image Recognition For Parking System Using Mobile Application

Nagarajan, Geethasri (2018) License Plate Image Recognition For Parking System Using Mobile Application. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) License Plate Image Recognition For Parking System Using Mobile Application.pdf - Submitted Version Download (1MB)

Abstract

Among the challenges that users face in day to day life, one of the most unavoidable challenge is finding car parking. As users' daily needs increase, their travelling increase. This made the drastic increase in usage of vehicles and increase in population where finding a car park slot has been a major concern particularly during busiest hours of the day. During peak hours most of the reserved parking area gets full and this leaves the user to search for their parking among other parking area which creates more traffic and leaves them with no indication on availability of parking space. When users visit the various public places like shopping malls, multiplex cinema hall & hotels during the festival time or weekends it creates more parking problem. According to a study conducted by the Boston Consulting Group (BCG) called, "Unlocking Cities'', Kuala Lumpur folks spend an average of at least 25 minutes daily in search of parking which totals up to 6.3 consecutive days. This searching leads to 30 to 40% of traffic congestion. In order to overcome this problem, there is definitely a need for designed parking in commercial environment. To design such parking slot, account of reservation should be taken of parking slot with optimal parking space which depends on cost and time. This paper proposes an android application, which is used to implement a prototype of License Plate Image Recognition for Parking System Using Mobile Application that allows drivers to effectively find and reserve the vacant parking spaces with the help of loT (Internet of Things). This project is designed to reduce the hassles in finding parking and it involves the method of image processing techniques for license plate number.

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