Low-cost automatic number plate detection system

Date

2022-05

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Abstract

The ability to detect vehicle license plates has been implemented to reduce traffic violations with varying success. Some of these applications have limited coverage or reduced functionality when used in real-time, as some were only tested with still images and datasets. In this paper, I propose a technique for implementing the Automatic Number Plate Recognition (ANPR) System using Python and Open Computer Vision Library integrated with a traffic light to capture and interpret the number plate of moving vehicles in different lighting conditions and at varying times speeds. The system is 100% successful at detecting vehicle number plates for cars traveling at 5kmph.

Description

Capstone Project submitted to the Department of Engineering, Ashesi University in partial fulfillment of the requirements for the award of Bachelor of Science degree in Computer Engineering, May 2022

Keywords

traffic violations prevention

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