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Research and Implementation of Vehicle Target Detection and Information Recognition Technology Based on NI myRIO

A vehicle target detection and information extraction scheme based on NI (National Instruments) myRIO is designed in this paper. The vehicle information acquisition and processing method based on image recognition is used to design a complete vehicle detection and information extraction system. In t...

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Detalles Bibliográficos
Autores principales: Wang, Hongliang, He, Shuang, Yu, Jiashan, Wang, Luyao, Liu, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147702/
https://www.ncbi.nlm.nih.gov/pubmed/32235791
http://dx.doi.org/10.3390/s20061765
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author Wang, Hongliang
He, Shuang
Yu, Jiashan
Wang, Luyao
Liu, Tao
author_facet Wang, Hongliang
He, Shuang
Yu, Jiashan
Wang, Luyao
Liu, Tao
author_sort Wang, Hongliang
collection PubMed
description A vehicle target detection and information extraction scheme based on NI (National Instruments) myRIO is designed in this paper. The vehicle information acquisition and processing method based on image recognition is used to design a complete vehicle detection and information extraction system. In the LabVIEW programming environment, the edge detection method is used to realize the vehicle target detection, the pattern matching method is used to realize the vehicle logo recognition, and the Optical Character Recognition (OCR) character recognition algorithm is used to realize the vehicle license plate recognition. The feasibility of the design scheme in this paper is verified through the actual test and analysis. The scheme is intuitive and efficient, with the high recognition accuracy.
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spelling pubmed-71477022020-04-20 Research and Implementation of Vehicle Target Detection and Information Recognition Technology Based on NI myRIO Wang, Hongliang He, Shuang Yu, Jiashan Wang, Luyao Liu, Tao Sensors (Basel) Article A vehicle target detection and information extraction scheme based on NI (National Instruments) myRIO is designed in this paper. The vehicle information acquisition and processing method based on image recognition is used to design a complete vehicle detection and information extraction system. In the LabVIEW programming environment, the edge detection method is used to realize the vehicle target detection, the pattern matching method is used to realize the vehicle logo recognition, and the Optical Character Recognition (OCR) character recognition algorithm is used to realize the vehicle license plate recognition. The feasibility of the design scheme in this paper is verified through the actual test and analysis. The scheme is intuitive and efficient, with the high recognition accuracy. MDPI 2020-03-22 /pmc/articles/PMC7147702/ /pubmed/32235791 http://dx.doi.org/10.3390/s20061765 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Hongliang
He, Shuang
Yu, Jiashan
Wang, Luyao
Liu, Tao
Research and Implementation of Vehicle Target Detection and Information Recognition Technology Based on NI myRIO
title Research and Implementation of Vehicle Target Detection and Information Recognition Technology Based on NI myRIO
title_full Research and Implementation of Vehicle Target Detection and Information Recognition Technology Based on NI myRIO
title_fullStr Research and Implementation of Vehicle Target Detection and Information Recognition Technology Based on NI myRIO
title_full_unstemmed Research and Implementation of Vehicle Target Detection and Information Recognition Technology Based on NI myRIO
title_short Research and Implementation of Vehicle Target Detection and Information Recognition Technology Based on NI myRIO
title_sort research and implementation of vehicle target detection and information recognition technology based on ni myrio
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147702/
https://www.ncbi.nlm.nih.gov/pubmed/32235791
http://dx.doi.org/10.3390/s20061765
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