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Intelligent Control of Vehicles' Number Plates on Toll Gates in Developing Nations

Intelligent Control of Vehicles' Number Plates on Toll Gates in Developing Nations
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Author(s): Tawanda Mushiri (University of Johannesburg, South Africa), Charles Mbohwa (University of Johannesburg, South Africa)and Simbarashe Sarupinda (CUT, Zimbabwe)
Copyright: 2018
Pages: 49
Source title: Computer Vision: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5204-8.ch043

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Abstract

Developing nations have implemented toll gates in their countries major trunk highways as a move towards the improvement in fiscal levels. However, several problems have arisen in the toll collection system that has been implemented. The system exists as an incomplete system in comparison to internationally acclaimed systems and methods. This chapter therefore seeks to introduce an automated toll collection system which has enhanced security features and intelligent vehicle classification methods. Utilising machine intelligence and computer vision methods in the system, the researchers intend to develop the automated and intelligent toll collection system for developing nation's tollgates. The mechatronic system will combat security loopholes and enhance the efficiency of the toll collection process.

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