Development of Smart Plate Number Recognition System for Fast Cars with Web Application

SHOBAYO, Olamilekan, OLAJUBE, A, OHERE, N, ODUSAMI, M and OKOYEIGBO, O (2020). Development of Smart Plate Number Recognition System for Fast Cars with Web Application. Applied Computational Intelligence and Soft Computing, 2020: 8535861.

[img]
Preview
PDF
Development_of_Smart_Plate_Number_Recognition_Syst.pdf - Published Version
Creative Commons Attribution.

Download (2MB) | Preview
Official URL: https://www.hindawi.com/journals/acisc/2020/853586...
Open Access URL: https://downloads.hindawi.com/journals/acisc/2020/... (Published)
Link to published version:: https://doi.org/10.1155/2020/8535861
Related URLs:

    Abstract

    Traffic law violation has been recognized as a major cause for road accidents in most parts of the world with majority occurring in developing countries. Even with the presence of rules and regulations stipulated against this, violators are still on the increase. This is due to the fact that the rules are not properly enforced by appropriate authorities in those parts of the world. Therefore, a system needs to be designed to assist law enforcement agencies to impose these rules to improve road safety and reduce road accidents. This work uses a Vehicle Plate Number Recognition (VNPR) system which is a real-time embedded system to automatically recognize license plate numbers. It provides an alternative means to VPNR using an open-source library known as openCV. The main aim of the system is to use image processing to identify vehicles violating traffic by their plate numbers. It consists of an IR sensor for detecting the vehicle. During testing, a minimum time was set for the sensor to detect the object which was recorded by the microprocessor. Once it was less than the set time, the camera was triggered to capture the plate number and store the image on the Raspberry Pi. The image captured is processed by the Raspberry Pi to extract the numbers on the image. The numbers on the capture imaged were viewed on a web page via an IP address. The system if implemented can be used to improve road safety and control traffic of emerging smart cities. It will also be used to apply appropriate sanctions for traffic law violators.

    Item Type: Article
    Uncontrolled Keywords: 0801 Artificial Intelligence and Image Processing
    Identification Number: https://doi.org/10.1155/2020/8535861
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 16 May 2022 13:54
    Last Modified: 16 May 2022 13:54
    URI: http://shura.shu.ac.uk/id/eprint/29797

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics