Detección de infracciones y matrículas en motocicletas, mediante visión artificial, aplicado a sistemas inteligentes de transporte

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dc.citation.journalTitleRisti - Revista Iberica De Sistemas E Tecnologias De Informacaoeng
dc.contributor.authorVALENCIA, JESÚS FERNANDO
dc.contributor.authorRamirez-Guerrero, T.
dc.contributor.authorCastañeda, L.
dc.contributor.authorToro, M.
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería de Sistemasspa
dc.contributor.researchgroupI+D+I en Tecnologías de la Información y las Comunicacionesspa
dc.creatorVALENCIA, JESÚS FERNANDO
dc.creatorRamirez-Guerrero, T.
dc.creatorCastañeda, L.
dc.creatorToro, M.
dc.date.accessioned2020-04-30
dc.date.accessioned2021-04-12T20:55:48Z
dc.date.available2021-04-12T20:55:48Z
dc.date.issued2020-06-01
dc.date.submitted2020-01-11
dc.description.abstractIncomplete operation of transportation systems has led to an increase in illegal passenger transportation, by the means of motorcycles, at worldwide, causing high accident rates. In the intermediate cities of Colombia, the main control method applied to informal transportation is to impose fines to identified offenders by transit authorities. This work proposes the development of an application that, by means of computer vision, serves as a tool for transit officers in the detections of three infringements types committed by motorcyclists: not wearing a helmet; circulate in prohibited areas; transporting passenger in sites where it’s not allowed. Our case study was Valledupar city, where 105 motorcyclists’ images were taken while they are driving. Results show an accuracy of 87,5% in infringements detection, showing the relevance of this application as an assistance tool to disincentive informal transportation. © 2020, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=11931
dc.identifier.doi10.17013/risti.37.1-15
dc.identifier.issn16469895
dc.identifier.otherSCOPUS;2-s2.0-85087573390
dc.identifier.urihttp://hdl.handle.net/10784/28640
dc.language.isoengeng
dc.publisherAssociacao Iberica de Sistemas e Tecnologias de Informacao
dc.relationDOI;10.17013/risti.37.1-15
dc.relationSCOPUS;2-s2.0-85087573390
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85087573390&doi=10.17013%2fristi.37.1-15&partnerID=40&md5=1ffbb416742254e66a970795a3a254b1
dc.rightsAssociacao Iberica de Sistemas e Tecnologias de Informacao
dc.sourceRisti - Revista Iberica De Sistemas E Tecnologias De Informacao
dc.subjectAIeng
dc.subjectMobile applicationseng
dc.subjectObject detectioneng
dc.subjectOCReng
dc.subjectPublic transportationeng
dc.titleDetección de infracciones y matrículas en motocicletas, mediante visión artificial, aplicado a sistemas inteligentes de transportespa
dc.typeinfo:eu-repo/semantics/articleeng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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