An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones
- Autores
- Lang, Lucía; Gazcón, Nicolás Fernando; Larrea, Martín Leonardo
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- According to estimates made by the World Health Organization there are approximately 285 million people with visual disabilities. In Argentina, it is estimated that there are about 6 thousand blind people per million inhabitants. These people must face daily different situations that generate physical and psychological tension conditioning their quality of life. In particular in Argentina, one of these situations is to recognize and correctly differentiate the denomination of Argentine money bills. The current system used is heavily affected by the usage of the money bills. In this paper, we present the design and development of a novel application for mobile phones that automatically recognize money bills and credit cards. The application was design with the assistance of a visually impaired user. abstract environment.
X Workshop Innovación en Sistemas de Software (WISS)
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
visually impaired
image recognition
software innovation - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/73472
Ver los metadatos del registro completo
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An Open Source Solution for Money Bill Recognition for the Visually Impaired User using SmartphonesLang, LucíaGazcón, Nicolás FernandoLarrea, Martín LeonardoCiencias Informáticasvisually impairedimage recognitionsoftware innovationAccording to estimates made by the World Health Organization there are approximately 285 million people with visual disabilities. In Argentina, it is estimated that there are about 6 thousand blind people per million inhabitants. These people must face daily different situations that generate physical and psychological tension conditioning their quality of life. In particular in Argentina, one of these situations is to recognize and correctly differentiate the denomination of Argentine money bills. The current system used is heavily affected by the usage of the money bills. In this paper, we present the design and development of a novel application for mobile phones that automatically recognize money bills and credit cards. The application was design with the assistance of a visually impaired user. abstract environment.X Workshop Innovación en Sistemas de Software (WISS)Red de Universidades con Carreras en Informática (RedUNCI)2018-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf808-817http://sedici.unlp.edu.ar/handle/10915/73472enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-658-472-6info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:12:26Zoai:sedici.unlp.edu.ar:10915/73472Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:12:26.916SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones |
title |
An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones |
spellingShingle |
An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones Lang, Lucía Ciencias Informáticas visually impaired image recognition software innovation |
title_short |
An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones |
title_full |
An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones |
title_fullStr |
An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones |
title_full_unstemmed |
An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones |
title_sort |
An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones |
dc.creator.none.fl_str_mv |
Lang, Lucía Gazcón, Nicolás Fernando Larrea, Martín Leonardo |
author |
Lang, Lucía |
author_facet |
Lang, Lucía Gazcón, Nicolás Fernando Larrea, Martín Leonardo |
author_role |
author |
author2 |
Gazcón, Nicolás Fernando Larrea, Martín Leonardo |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas visually impaired image recognition software innovation |
topic |
Ciencias Informáticas visually impaired image recognition software innovation |
dc.description.none.fl_txt_mv |
According to estimates made by the World Health Organization there are approximately 285 million people with visual disabilities. In Argentina, it is estimated that there are about 6 thousand blind people per million inhabitants. These people must face daily different situations that generate physical and psychological tension conditioning their quality of life. In particular in Argentina, one of these situations is to recognize and correctly differentiate the denomination of Argentine money bills. The current system used is heavily affected by the usage of the money bills. In this paper, we present the design and development of a novel application for mobile phones that automatically recognize money bills and credit cards. The application was design with the assistance of a visually impaired user. abstract environment. X Workshop Innovación en Sistemas de Software (WISS) Red de Universidades con Carreras en Informática (RedUNCI) |
description |
According to estimates made by the World Health Organization there are approximately 285 million people with visual disabilities. In Argentina, it is estimated that there are about 6 thousand blind people per million inhabitants. These people must face daily different situations that generate physical and psychological tension conditioning their quality of life. In particular in Argentina, one of these situations is to recognize and correctly differentiate the denomination of Argentine money bills. The current system used is heavily affected by the usage of the money bills. In this paper, we present the design and development of a novel application for mobile phones that automatically recognize money bills and credit cards. The application was design with the assistance of a visually impaired user. abstract environment. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-10 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/73472 |
url |
http://sedici.unlp.edu.ar/handle/10915/73472 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/isbn/978-950-658-472-6 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
eu_rights_str_mv |
openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf 808-817 |
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reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
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SEDICI (UNLP) |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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13.070432 |