Intelligent control of vehicles’ number plates on toll gates in developing nations

Tawanda Mushiri, Charles Mbohwa, Simbarashe Sarupinda

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationComputer Vision
Subtitle of host publicationConcepts, Methodologies, Tools, and Applications
PublisherIGI Global
Pages1023-1071
Number of pages49
ISBN (Electronic)9781522552055
ISBN (Print)9781522552048
DOIs
Publication statusPublished - 1 Jan 2018

ASJC Scopus subject areas

  • General Computer Science

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