Design and implementation of a speed detection system using radar and image processing
Date
2020-05
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Abstract
The issue of vehicle accidents occurring on the roads on a daily basis, which only seems to
be increased by the minute is what this paper researches and seeks to tackle. With the simple
technology that has been made available globally, a cost-effective system can be developed
to fight overspeeding, reduce road accidents and save lives. As a result, in this project, an
Automatic Number Plate Recognition program and a web service for speed detection were
implemented. This was done with the aim of monitoring frequently used roads, and those
areaswhere the accidents normally take place in order to sanction drivers guilty of driving
above set speeding limits. This made use of machine learning-based Optical Character
Recognition program couples with a web application to issue speeding fines dynamically to
offenders via email. In the course of this project a validation accuracy of 97% was achieved
for the training done with Nigerian License plate characters. The mailing was fully
functionally at the end of the project. Though, a few hitches were experienced on the license
plate detection phase as some license plate shapes vary slightly. This proved the need to
improve the license plate detection to detect modded license plates in addition to the regular
ones.
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 2020
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Senior project
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Keywords
speed detection, road accident prevention, optical recognition, license place recognition system