Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing

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It is known that 33% of traffic accidents worldwide are caused by drunk driving or drowsiness [1] [2], so a drowsiness level detection system that integrates image processing was developed with the use of Raspberry Pi3 with the OpenCV library; and sensors such as MQ-3 that measures the percentage of...

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Detalles Bibliográficos
Autores: Eraldo, B., Quispe, G., Chavez-Arias, H., Raymundo-Ibanez, C., Dominguez, F.
Formato: artículo
Fecha de Publicación:2019
Institución:Universidad Continental
Repositorio:CONTINENTAL-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.continental.edu.pe:20.500.12394/7818
Enlace del recurso:https://hdl.handle.net/20.500.12394/7818
Nivel de acceso:acceso abierto
Materia:Somnolencia
Procesamiento de imágenes
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network_acronym_str UCON
network_name_str CONTINENTAL-Institucional
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dc.title.es_ES.fl_str_mv Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing
dc.title.alternative.es_ES.fl_str_mv Diseño de un sistema de control y monitoreo para reducir los accidentes de tránsito debido a la somnolencia a través del procesamiento de imágenes
title Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing
spellingShingle Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing
Eraldo, B.
Somnolencia
Procesamiento de imágenes
title_short Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing
title_full Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing
title_fullStr Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing
title_full_unstemmed Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing
title_sort Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing
author Eraldo, B.
author_facet Eraldo, B.
Quispe, G.
Chavez-Arias, H.
Raymundo-Ibanez, C.
Dominguez, F.
author_role author
author2 Quispe, G.
Chavez-Arias, H.
Raymundo-Ibanez, C.
Dominguez, F.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Eraldo, B.
Quispe, G.
Chavez-Arias, H.
Raymundo-Ibanez, C.
Dominguez, F.
dc.subject.es_ES.fl_str_mv Somnolencia
Procesamiento de imágenes
topic Somnolencia
Procesamiento de imágenes
description It is known that 33% of traffic accidents worldwide are caused by drunk driving or drowsiness [1] [2], so a drowsiness level detection system that integrates image processing was developed with the use of Raspberry Pi3 with the OpenCV library; and sensors such as MQ-3 that measures the percentage of alcohol and the S9 sensor that measures the heart rate. In addition, it has an alert system and as an interface for the visualization of the data measured by the sensors a touch screen. With the image processing technique, facial expressions are analyzed, while physiological behaviors such as heart rate and alcohol percentage are measured with the sensors. In image test training you get an accuracy of x in a response time of x seconds. On the other hand, the evaluation of the operation of the sensors in 90% effective. So the method developed is effective and feasible.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2020-07-17T14:51:37Z
dc.date.available.none.fl_str_mv 2020-07-17T14:51:37Z
dc.date.created.none.fl_str_mv 2020
dc.date.issued.fl_str_mv 2019-11-20
dc.type.es_ES.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.es_ES.fl_str_mv Eraldo, B., Quispe, G., Chavez, H., Raymundo, C., Dominguez, F. (2020). Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing. IEEE 39th Central America and Panama Convention, CONCAPAN 2019, 1(1). https://doi. 10.1109/CONCAPANXXXIX47272.2019.8976928
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12394/7818
dc.identifier.journal.es_ES.fl_str_mv IEEE 39th Central America and Panama Convention, CONCAPAN 2019
dc.identifier.doi.es_ES.fl_str_mv 10.1109/CONCAPANXXXIX47272.2019.8976928
identifier_str_mv Eraldo, B., Quispe, G., Chavez, H., Raymundo, C., Dominguez, F. (2020). Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing. IEEE 39th Central America and Panama Convention, CONCAPAN 2019, 1(1). https://doi. 10.1109/CONCAPANXXXIX47272.2019.8976928
IEEE 39th Central America and Panama Convention, CONCAPAN 2019
10.1109/CONCAPANXXXIX47272.2019.8976928
url https://hdl.handle.net/20.500.12394/7818
dc.language.iso.es_ES.fl_str_mv eng
language eng
dc.relation.es_ES.fl_str_mv https://ieeexplore.ieee.org/document/8976928
dc.rights.es_ES.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.license.es_ES.fl_str_mv Attribution 4.0 International (CC BY 4.0)
dc.rights.accessRights.es_ES.fl_str_mv Acceso abierto
eu_rights_str_mv openAccess
rights_invalid_str_mv Attribution 4.0 International (CC BY 4.0)
Acceso abierto
dc.format.es_ES.fl_str_mv application/pdf
dc.publisher.es_ES.fl_str_mv Universidad Continental
dc.source.es_ES.fl_str_mv Universidad Continental
Repositorio Institucional - Continental
dc.source.none.fl_str_mv reponame:CONTINENTAL-Institucional
instname:Universidad Continental
instacron:CONTINENTAL
instname_str Universidad Continental
instacron_str CONTINENTAL
institution CONTINENTAL
reponame_str CONTINENTAL-Institucional
collection CONTINENTAL-Institucional
bitstream.url.fl_str_mv https://repositorio.continental.edu.pe/bitstream/20.500.12394/7818/1/license.txt
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio Continental
repository.mail.fl_str_mv dspaceconti@continental.edu.pe
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spelling Eraldo, B.Quispe, G.Chavez-Arias, H.Raymundo-Ibanez, C.Dominguez, F.2020-07-17T14:51:37Z2020-07-17T14:51:37Z20202019-11-20Eraldo, B., Quispe, G., Chavez, H., Raymundo, C., Dominguez, F. (2020). Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing. IEEE 39th Central America and Panama Convention, CONCAPAN 2019, 1(1). https://doi. 10.1109/CONCAPANXXXIX47272.2019.8976928https://hdl.handle.net/20.500.12394/7818IEEE 39th Central America and Panama Convention, CONCAPAN 201910.1109/CONCAPANXXXIX47272.2019.8976928It is known that 33% of traffic accidents worldwide are caused by drunk driving or drowsiness [1] [2], so a drowsiness level detection system that integrates image processing was developed with the use of Raspberry Pi3 with the OpenCV library; and sensors such as MQ-3 that measures the percentage of alcohol and the S9 sensor that measures the heart rate. In addition, it has an alert system and as an interface for the visualization of the data measured by the sensors a touch screen. With the image processing technique, facial expressions are analyzed, while physiological behaviors such as heart rate and alcohol percentage are measured with the sensors. In image test training you get an accuracy of x in a response time of x seconds. On the other hand, the evaluation of the operation of the sensors in 90% effective. So the method developed is effective and feasible.application/pdfengUniversidad Continentalhttps://ieeexplore.ieee.org/document/8976928info:eu-repo/semantics/openAccessAttribution 4.0 International (CC BY 4.0)Acceso abiertoUniversidad ContinentalRepositorio Institucional - Continentalreponame:CONTINENTAL-Institucionalinstname:Universidad Continentalinstacron:CONTINENTALSomnolenciaProcesamiento de imágenesDesign of a control and monitoring system to reduce traffic accidents due to drowsiness through image processingDiseño de un sistema de control y monitoreo para reducir los accidentes de tránsito debido a la somnolencia a través del procesamiento de imágenesinfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.continental.edu.pe/bitstream/20.500.12394/7818/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5120.500.12394/7818oai:repositorio.continental.edu.pe:20.500.12394/78182021-02-24 15:01:25.171Repositorio Continentaldspaceconti@continental.edu.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Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing
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