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

Descripción del Articulo

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
Detalles Bibliográficos
Autores: Eraldo, Bruno, Quispe, Grimaldo, Chavez-Arias, Heyul, Raymundo-Ibanez, Carlos, Dominguez, Francisco
Formato: artículo
Fecha de Publicación:2019
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/656307
Enlace del recurso:http://hdl.handle.net/10757/656307
Nivel de acceso:acceso embargado
Materia:drowsiness
Image processing
interface
Raspberry Pi 3
sensor
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dc.title.en_US.fl_str_mv Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing
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, Bruno
drowsiness
Image processing
interface
Raspberry Pi 3
sensor
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, Bruno
author_facet Eraldo, Bruno
Quispe, Grimaldo
Chavez-Arias, Heyul
Raymundo-Ibanez, Carlos
Dominguez, Francisco
author_role author
author2 Quispe, Grimaldo
Chavez-Arias, Heyul
Raymundo-Ibanez, Carlos
Dominguez, Francisco
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Eraldo, Bruno
Quispe, Grimaldo
Chavez-Arias, Heyul
Raymundo-Ibanez, Carlos
Dominguez, Francisco
dc.subject.en_US.fl_str_mv drowsiness
Image processing
interface
Raspberry Pi 3
sensor
topic drowsiness
Image processing
interface
Raspberry Pi 3
sensor
description El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2021-06-02T12:51:55Z
dc.date.available.none.fl_str_mv 2021-06-02T12:51:55Z
dc.date.issued.fl_str_mv 2019-11-01
dc.type.en_US.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.doi.none.fl_str_mv 10.1109/CONCAPANXXXIX47272.2019.8976928
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/656307
dc.identifier.journal.en_US.fl_str_mv 2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019
dc.identifier.eid.none.fl_str_mv 2-s2.0-85084948438
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85084948438
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 10.1109/CONCAPANXXXIX47272.2019.8976928
2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019
2-s2.0-85084948438
SCOPUS_ID:85084948438
0000 0001 2196 144X
url http://hdl.handle.net/10757/656307
dc.language.iso.en_US.fl_str_mv eng
language eng
dc.relation.url.en_US.fl_str_mv https://ieeexplore.ieee.org/document/8976928
dc.rights.en_US.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.en_US.fl_str_mv application/html
dc.publisher.en_US.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv 2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019
dc.source.volume.none.fl_str_mv 2019-November
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/656307/1/license.txt
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio académico upc
repository.mail.fl_str_mv upc@openrepository.com
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spelling 5a1eccb2b37c67a4efe7d4adecefc8883003677f87a08725e26e6f28cee946939a6500b3ea5d229f689e0f977c9fca30f1e795500d29aea567268cb17c51edd04c98839d9500bca061da163b707885b99dc247d3d44a500Eraldo, BrunoQuispe, GrimaldoChavez-Arias, HeyulRaymundo-Ibanez, CarlosDominguez, Francisco2021-06-02T12:51:55Z2021-06-02T12:51:55Z2019-11-0110.1109/CONCAPANXXXIX47272.2019.8976928http://hdl.handle.net/10757/6563072019 IEEE 39th Central America and Panama Convention, CONCAPAN 20192-s2.0-85084948438SCOPUS_ID:850849484380000 0001 2196 144XEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.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.Revisión por paresapplication/htmlengInstitute of Electrical and Electronics Engineers Inc.https://ieeexplore.ieee.org/document/8976928info:eu-repo/semantics/embargoedAccessdrowsinessImage processinginterfaceRaspberry Pi 3sensorDesign of a control and monitoring system to reduce traffic accidents due to drowsiness through image processinginfo:eu-repo/semantics/article2019 IEEE 39th Central America and Panama Convention, CONCAPAN 20192019-Novemberreponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/656307/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/656307oai:repositorioacademico.upc.edu.pe:10757/6563072021-06-02 12:51:55.857Repositorio académico upcupc@openrepository.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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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