Intelligent system to detect violations in pedestrian areas committed by vehicles in the city of Cartagena de Indias
his article presents applied research which proposes an approach to a low-cost electronic system that allows the detection of violations in pedestrian areas. For this purpose, we proposed an electronic system that implements artificial intelligence algorithms and Internet of Things architectures to...
- Autores:
-
Hernández-Díaz, Nicolás
Pañaloza, Yersica C.
Rios, Y. Yuliana
Martinez-Santos, Juan Carlos
Puertas, Edwin
- Tipo de recurso:
- Fecha de publicación:
- 2023
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12580
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12580
- Palabra clave:
- Computer vision
Object detection
Intelligent system
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/publicdomain/zero/1.0/
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| dc.title.spa.fl_str_mv |
Intelligent system to detect violations in pedestrian areas committed by vehicles in the city of Cartagena de Indias |
| title |
Intelligent system to detect violations in pedestrian areas committed by vehicles in the city of Cartagena de Indias |
| spellingShingle |
Intelligent system to detect violations in pedestrian areas committed by vehicles in the city of Cartagena de Indias Computer vision Object detection Intelligent system LEMB |
| title_short |
Intelligent system to detect violations in pedestrian areas committed by vehicles in the city of Cartagena de Indias |
| title_full |
Intelligent system to detect violations in pedestrian areas committed by vehicles in the city of Cartagena de Indias |
| title_fullStr |
Intelligent system to detect violations in pedestrian areas committed by vehicles in the city of Cartagena de Indias |
| title_full_unstemmed |
Intelligent system to detect violations in pedestrian areas committed by vehicles in the city of Cartagena de Indias |
| title_sort |
Intelligent system to detect violations in pedestrian areas committed by vehicles in the city of Cartagena de Indias |
| dc.creator.fl_str_mv |
Hernández-Díaz, Nicolás Pañaloza, Yersica C. Rios, Y. Yuliana Martinez-Santos, Juan Carlos Puertas, Edwin |
| dc.contributor.author.none.fl_str_mv |
Hernández-Díaz, Nicolás Pañaloza, Yersica C. Rios, Y. Yuliana Martinez-Santos, Juan Carlos Puertas, Edwin |
| dc.subject.keywords.spa.fl_str_mv |
Computer vision Object detection Intelligent system |
| topic |
Computer vision Object detection Intelligent system LEMB |
| dc.subject.armarc.none.fl_str_mv |
LEMB |
| description |
his article presents applied research which proposes an approach to a low-cost electronic system that allows the detection of violations in pedestrian areas. For this purpose, we proposed an electronic system that implements artificial intelligence algorithms and Internet of Things architectures to detect in realtime these events. The proposal focuses on experimental laboratory work through which we developed and validated a system by analyzing a real pedestrian zone scenario and invasion of the pedestrian zone. As a result of this work, we deliver a labeled dataset to the scientific community that can serve as input to new projects and the development of better offender detection algorithms. |
| publishDate |
2023 |
| dc.date.accessioned.none.fl_str_mv |
2023-12-05T16:25:07Z |
| dc.date.available.none.fl_str_mv |
2023-12-05T16:25:07Z |
| dc.date.issued.none.fl_str_mv |
2023-12-05 |
| dc.date.submitted.none.fl_str_mv |
2023-12-05 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Hernández-Díaz, N., Pañaloza, Y. C., Rios, Y. Y., Martinez-Santos, J. C., & Puertas, E. (2023). Intelligent system to detect violations in pedestrian areas committed by vehicles in the City of Cartagena de Indias. Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development”. |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/12580 |
| dc.identifier.doi.none.fl_str_mv |
10.18687/LACCEI2023.1.1.1447 |
| dc.identifier.instname.spa.fl_str_mv |
Universidad Tecnológica de Bolívar |
| dc.identifier.reponame.spa.fl_str_mv |
Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
Hernández-Díaz, N., Pañaloza, Y. C., Rios, Y. Y., Martinez-Santos, J. C., & Puertas, E. (2023). Intelligent system to detect violations in pedestrian areas committed by vehicles in the City of Cartagena de Indias. Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development”. 10.18687/LACCEI2023.1.1.1447 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
| url |
https://hdl.handle.net/20.500.12585/12580 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
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http://purl.org/coar/access_right/c_abf2 |
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http://creativecommons.org/publicdomain/zero/1.0/ |
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info:eu-repo/semantics/openAccess |
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CC0 1.0 Universal |
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http://creativecommons.org/publicdomain/zero/1.0/ CC0 1.0 Universal http://purl.org/coar/access_right/c_abf2 |
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openAccess |
| dc.format.extent.none.fl_str_mv |
6 páginas |
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application/pdf |
| dc.publisher.place.spa.fl_str_mv |
Cartagena de Indias |
| dc.publisher.sede.spa.fl_str_mv |
Campus Tecnológico |
| dc.publisher.discipline.spa.fl_str_mv |
Maestría en Ingeniería |
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Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology |
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Universidad Tecnológica de Bolívar |
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Hernández-Díaz, Nicolás63e39a63-8a3f-4573-bde7-cd014effbf78Pañaloza, Yersica C.bc87bac4-773d-4027-ad68-a9c77198f549Rios, Y. Yuliana2e5d244a-ee96-4d51-8441-17659df20a44Martinez-Santos, Juan Carlos5c958644-c78d-401d-8ba9-bbd39fe77318Puertas, Edwin9e3c6f17-9041-40e3-a5fb-929a21d229012023-12-05T16:25:07Z2023-12-05T16:25:07Z2023-12-052023-12-05Hernández-Díaz, N., Pañaloza, Y. C., Rios, Y. Y., Martinez-Santos, J. C., & Puertas, E. (2023). Intelligent system to detect violations in pedestrian areas committed by vehicles in the City of Cartagena de Indias. Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development”.https://hdl.handle.net/20.500.12585/1258010.18687/LACCEI2023.1.1.1447Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de Bolívarhis article presents applied research which proposes an approach to a low-cost electronic system that allows the detection of violations in pedestrian areas. For this purpose, we proposed an electronic system that implements artificial intelligence algorithms and Internet of Things architectures to detect in realtime these events. The proposal focuses on experimental laboratory work through which we developed and validated a system by analyzing a real pedestrian zone scenario and invasion of the pedestrian zone. As a result of this work, we deliver a labeled dataset to the scientific community that can serve as input to new projects and the development of better offender detection algorithms.Universidad Tecnológica de Bolívar6 páginasapplication/pdfenghttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccessCC0 1.0 Universalhttp://purl.org/coar/access_right/c_abf2Proceedings of the LACCEI international Multi-conference for Engineering, Education and TechnologyIntelligent system to detect violations in pedestrian areas committed by vehicles in the city of Cartagena de Indiasinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Computer visionObject detectionIntelligent systemLEMBCartagena de IndiasCampus TecnológicoMaestría en IngenieríaPúblico generalNaciones Unidas (UN), “Health – United Nations Sustainable Development.”Naciones Unidas (UN), “Ciudades – Desarrollo Sostenible.”OMS, “OMS | Accidentes de tránsito.”C. O. WHO, “World health organization,” Diabetes, 2020.Mineduación, “Colombia ratifica ante la ONU su compromiso para reducir siniestros viales desde la infancia - Ministerio de Educación Nacional de Colombia,” 2019A. de Cartagena, “Plan de desarrollo cartagena 2020-2023 – sed carta gena.”T. O. B. Fram, “Puntos críticos de las principales vías terrestres de cartagena y su incidencia en la movilidad para la búsqueda de una ciudad inteligente,” Revista Cultural Unilibre, no. 1, pp. 65–84, 2018.E. U. Cartagena and R. Goméz-Stand, “Así se puede contrarrestar el uso indebido y apropiación de andenes,” 2021.J. prensa DATT, “DATT, Disminuyó accidentalidad en un 2,3% durante primer semestre de 2019,” 2019.A. Fascioli, R. I. Fedriga, and S. Ghidoni, “Vision-based monitoring of pedestrian crossings,” in 14th International Conference on Image Analysis and Processing (ICIAP 2007), pp. 566–574, 2007J. Hariyono and K.-H. Jo, “Detection of pedestrian crossing road,” in 2015 IEEE International Conference on Image Processing (ICIP), pp. 4585–4588, 2015.C. Zhao and X. Chen, “The study of pedestrian re-identification with the illumination change,” in 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), pp. 133–137, 2018M. A. Alias, S. N. Sulaiman, I. S. Isa, R. Boudville, and Z. H. C. Soh, “Detection of sudden pedestrian crossing for driving assistance systems,” in 2020 1st International Conference on Information Technology, Advanced Mechanical and Electrical Engineering (ICITAMEE), pp. 220–225, 2020.MATLAB & Simulink, “Segmentación semántica .” Humansintheloop.org, “Humans in the Loop - Continuously better models with a human in the loop.”ITELLIGENT, “Deep learning & Convolutional Neuronal Network: qué es y en qué consiste.”A. de Medellín, “Cámaras de CCTV.” https://www.medellin.gov.co/simm/camaras-de-circuito-cerrado, 2013. [Online; accessed 11-December-2020].Hernández-Díaz, Nicolás, Puertas, Edwin, Martinez-Santos, Juan Carlos, Archbold, George, Rios, Yuliana, & Peñaloza, Yersica. (2023). Dataset for Detecting Motorcyclists in Pedestrian Areas (1.0) [Data set]. 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