Automatic car number plate recognition to improve driving safety at traffic lights in Ghana

dc.contributor.author	Agyei, Emmanuel Antwi
dc.date.accessioned	2023-02-24T09:56:22Z
dc.date.available	2023-02-24T09:56:22Z
dc.date.issued	2021-05
dc.description	Applied project submitted to the Department of Computer Science and Information Systems, Ashesi University, in partial fulfillment of Bachelor of Science degree in Computer Science, May 2021
dc.description.abstract	Technology to identify the number plates of vehicles that jump traffic lights exists in many advanced countries. However, for developing economies, financial and technological constraints have been the major factor preventing them from acquiring technologies. For this project, a low-cost Automatic Number Plate Recognition (ANPR) system has been developed. With this system, drivers who jump traffic lights can easily be identified and fined with little to no manual work from the police or legal authorities. The system also provides a user-friendly administrator interface to relevant authorities giving them permission to access and monitor records of all incidences captured on the ANPR system. This documents also contains results from testing the system as well as future works.
dc.description.sponsorship	Ashesi University
dc.identifier.uri	https://hdl.handle.net/20.500.11988/835
dc.language.iso	en
dc.subject	ANPR	en
dc.title	Automatic car number plate recognition to improve driving safety at traffic lights in Ghana
dc.type	Applied project	en

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