Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing
Descripción del Articulo
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...
| Autores: | , , , , |
|---|---|
| Formato: | tesis de grado |
| Fecha de Publicación: | 2020 |
| Institución: | Universidad Continental |
| Repositorio: | CONTINENTAL-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.continental.edu.pe:20.500.12394/8367 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12394/8367 https://doi.org/10.1109/CONCAPANXXXIX47272.2019.8976928 |
| Nivel de acceso: | acceso abierto |
| Materia: | Prevención de accidentes Accidentes de tránsito Control automático https://purl.org/pe-repo/ocde/ford#2.02.03 |
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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 |
| 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 Bruno Adriano, Eraldo Kepler Prevención de accidentes Accidentes de tránsito Control automático https://purl.org/pe-repo/ocde/ford#2.02.03 |
| 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 |
Bruno Adriano, Eraldo Kepler |
| author_facet |
Bruno Adriano, Eraldo Kepler Raymundo-Ibanez, Carlos Quispe Santibáñez, Grimaldo Wilfredo Dominguez, Francisco Chavez-Arias, Heyul |
| author_role |
author |
| author2 |
Raymundo-Ibanez, Carlos Quispe Santibáñez, Grimaldo Wilfredo Dominguez, Francisco Chavez-Arias, Heyul |
| author2_role |
author author author author |
| dc.contributor.advisor.fl_str_mv |
Quispe Santivañez, Grimaldo Wilfredo |
| dc.contributor.author.fl_str_mv |
Bruno Adriano, Eraldo Kepler Raymundo-Ibanez, Carlos Quispe Santibáñez, Grimaldo Wilfredo Dominguez, Francisco Chavez-Arias, Heyul |
| dc.subject.es_ES.fl_str_mv |
Prevención de accidentes Accidentes de tránsito Control automático |
| topic |
Prevención de accidentes Accidentes de tránsito Control automático https://purl.org/pe-repo/ocde/ford#2.02.03 |
| dc.subject.ocde.es_ES.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#2.02.03 |
| 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 |
2020 |
| dc.date.accessioned.none.fl_str_mv |
2020-12-18T00:18:23Z |
| dc.date.available.none.fl_str_mv |
2020-12-18T00:18:23Z |
| dc.date.issued.fl_str_mv |
2020 |
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info:eu-repo/semantics/bachelorThesis |
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info:eu-repo/semantics/publishedVersion |
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bachelorThesis |
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publishedVersion |
| dc.identifier.citation.es_ES.fl_str_mv |
Bruno, E. (2020). Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing. Tesis para optar el título profesional de Ingeniero Mecatrónico, Escuela Académico Profesional de Ingeniería Mecatrónica, Universidad Continental, Huancayo, Perú. |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12394/8367 |
| dc.identifier.journal.es_ES.fl_str_mv |
Auckland University of Technology |
| dc.identifier.doi.es_ES.fl_str_mv |
https://doi.org/10.1109/CONCAPANXXXIX47272.2019.8976928 |
| identifier_str_mv |
Bruno, E. (2020). Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing. Tesis para optar el título profesional de Ingeniero Mecatrónico, Escuela Académico Profesional de Ingeniería Mecatrónica, Universidad Continental, Huancayo, Perú. Auckland University of Technology |
| url |
https://hdl.handle.net/20.500.12394/8367 https://doi.org/10.1109/CONCAPANXXXIX47272.2019.8976928 |
| dc.language.iso.es_ES.fl_str_mv |
eng |
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eng |
| dc.relation.es_ES.fl_str_mv |
https://ieeexplore.ieee.org/document/8976928 |
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SUNEDU |
| dc.rights.es_ES.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.uri.es_ES.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
| dc.rights.license.es_ES.fl_str_mv |
Attribution 4.0 International (CC BY 4.0) |
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Acceso abierto |
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openAccess |
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https://creativecommons.org/licenses/by/4.0/ Attribution 4.0 International (CC BY 4.0) Acceso abierto |
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application/pdf |
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Universidad Continental |
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PE |
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Universidad Continental Repositorio Institucional - Continental |
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Quispe Santivañez, Grimaldo WilfredoBruno Adriano, Eraldo KeplerRaymundo-Ibanez, CarlosQuispe Santibáñez, Grimaldo WilfredoDominguez, FranciscoChavez-Arias, Heyul2020-12-18T00:18:23Z2020-12-18T00:18:23Z2020Bruno, E. (2020). Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing. Tesis para optar el título profesional de Ingeniero Mecatrónico, Escuela Académico Profesional de Ingeniería Mecatrónica, Universidad Continental, Huancayo, Perú.https://hdl.handle.net/20.500.12394/8367Auckland University of Technologyhttps://doi.org/10.1109/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 feasibleTesisapplication/pdf[6] páginasengUniversidad ContinentalPEhttps://ieeexplore.ieee.org/document/8976928SUNEDUinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Attribution 4.0 International (CC BY 4.0)Acceso abiertoUniversidad ContinentalRepositorio Institucional - Continentalreponame:CONTINENTAL-Institucionalinstname:Universidad Continentalinstacron:CONTINENTALPrevención de accidentesAccidentes de tránsitoControl automáticohttps://purl.org/pe-repo/ocde/ford#2.02.03Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processinginfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/publishedVersionTítulo ProfesionalIngeniero MecatrónicoUniversidad Continental. 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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
