The use of artificial intelligence to identify objects in a construction site

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Artículo presentado en el International Conference on Artificial Intelligence and Energy System (ICAIES-2021) in Virtual Mode, llevada a cabo el 12 y 13 de junio del 2021. Los datos de investigación están disponibles en la siguiente dirección https://doi.org/10.26439/ulima.datasets.13359
Detalles Bibliográficos
Autores: Del Savio, Alexandre Almeida, Luna Torres, Ana Felícita, Cárdenas Salas, Daniel Enrique, Vergara Olivera, Mónica Alejandra, Urday Ibarra, Gianella Tania
Formato: objeto de conferencia
Fecha de Publicación:2021
Institución:Universidad de Lima
Repositorio:ULIMA-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ulima.edu.pe:20.500.12724/14933
Enlace del recurso:https://hdl.handle.net/20.500.12724/14933
http://doi.org/10.26439/ulima.prep.14933
Nivel de acceso:acceso abierto
Materia:Artificial intelligence
Machine learning
Computer vision techniques
Neural network models
Construction monitoring
https://purl.org/pe-repo/ocde/ford#2.01.01
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dc.title.es_PE.fl_str_mv The use of artificial intelligence to identify objects in a construction site
title The use of artificial intelligence to identify objects in a construction site
spellingShingle The use of artificial intelligence to identify objects in a construction site
Del Savio, Alexandre Almeida
Artificial intelligence
Machine learning
Computer vision techniques
Neural network models
Construction monitoring
https://purl.org/pe-repo/ocde/ford#2.01.01
title_short The use of artificial intelligence to identify objects in a construction site
title_full The use of artificial intelligence to identify objects in a construction site
title_fullStr The use of artificial intelligence to identify objects in a construction site
title_full_unstemmed The use of artificial intelligence to identify objects in a construction site
title_sort The use of artificial intelligence to identify objects in a construction site
author Del Savio, Alexandre Almeida
author_facet Del Savio, Alexandre Almeida
Luna Torres, Ana Felícita
Cárdenas Salas, Daniel Enrique
Vergara Olivera, Mónica Alejandra
Urday Ibarra, Gianella Tania
author_role author
author2 Luna Torres, Ana Felícita
Cárdenas Salas, Daniel Enrique
Vergara Olivera, Mónica Alejandra
Urday Ibarra, Gianella Tania
author2_role author
author
author
author
dc.contributor.other.none.fl_str_mv Del Savio, Alexandre Almeida
Luna Torres, Ana Felícita
Cárdenas Salas, Daniel Enrique
Vergara Olivera, Mónica Alejandra
dc.contributor.student.none.fl_str_mv Urday Ibarra, Gianella Tania (Ingeniería de Sistemas)
dc.contributor.author.fl_str_mv Del Savio, Alexandre Almeida
Luna Torres, Ana Felícita
Cárdenas Salas, Daniel Enrique
Vergara Olivera, Mónica Alejandra
Urday Ibarra, Gianella Tania
dc.subject.es_PE.fl_str_mv Artificial intelligence
Machine learning
Computer vision techniques
Neural network models
Construction monitoring
topic Artificial intelligence
Machine learning
Computer vision techniques
Neural network models
Construction monitoring
https://purl.org/pe-repo/ocde/ford#2.01.01
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.01.01
description Artículo presentado en el International Conference on Artificial Intelligence and Energy System (ICAIES-2021) in Virtual Mode, llevada a cabo el 12 y 13 de junio del 2021. Los datos de investigación están disponibles en la siguiente dirección https://doi.org/10.26439/ulima.datasets.13359
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2022-01-26T22:59:40Z
dc.date.issued.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.type.other.none.fl_str_mv Artículo de conferencia
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dc.identifier.citation.es_PE.fl_str_mv Almeida Del Savio, A., Luna, A., Cárdenas-Salas, D., Vergara Olivera, M. & Urday Ibarra, G. (2021). The use of artificial intelligence to identify objects in a construction site. International Conference on Artificial Intelligence and Energy System (ICAIES) in Virtual Mode, Jaipur, India. http://doi.org/10.26439/ulima.prep.14933
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12724/14933
dc.identifier.event.none.fl_str_mv International Conference on Artificial Intelligence and Energy System (ICAIES)
dc.identifier.doi.none.fl_str_mv http://doi.org/10.26439/ulima.prep.14933
identifier_str_mv Almeida Del Savio, A., Luna, A., Cárdenas-Salas, D., Vergara Olivera, M. & Urday Ibarra, G. (2021). The use of artificial intelligence to identify objects in a construction site. International Conference on Artificial Intelligence and Energy System (ICAIES) in Virtual Mode, Jaipur, India. http://doi.org/10.26439/ulima.prep.14933
International Conference on Artificial Intelligence and Energy System (ICAIES)
url https://hdl.handle.net/20.500.12724/14933
http://doi.org/10.26439/ulima.prep.14933
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.uri.none.fl_str_mv https://doi.org/10.26439/ulima.datasets.13359
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dc.publisher.none.fl_str_mv Universidad de Lima
dc.publisher.country.none.fl_str_mv PE
publisher.none.fl_str_mv Universidad de Lima
dc.source.none.fl_str_mv Repositorio Institucional - Ulima
Universidad de Lima
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spelling Del Savio, Alexandre AlmeidaLuna Torres, Ana FelícitaCárdenas Salas, Daniel EnriqueVergara Olivera, Mónica AlejandraUrday Ibarra, Gianella TaniaDel Savio, Alexandre AlmeidaLuna Torres, Ana FelícitaCárdenas Salas, Daniel EnriqueVergara Olivera, Mónica AlejandraUrday Ibarra, Gianella Tania (Ingeniería de Sistemas)2022-01-26T22:59:40Z2021Almeida Del Savio, A., Luna, A., Cárdenas-Salas, D., Vergara Olivera, M. & Urday Ibarra, G. (2021). The use of artificial intelligence to identify objects in a construction site. International Conference on Artificial Intelligence and Energy System (ICAIES) in Virtual Mode, Jaipur, India. http://doi.org/10.26439/ulima.prep.14933https://hdl.handle.net/20.500.12724/14933International Conference on Artificial Intelligence and Energy System (ICAIES)http://doi.org/10.26439/ulima.prep.14933Artículo presentado en el International Conference on Artificial Intelligence and Energy System (ICAIES-2021) in Virtual Mode, llevada a cabo el 12 y 13 de junio del 2021. Los datos de investigación están disponibles en la siguiente dirección https://doi.org/10.26439/ulima.datasets.13359The construction industry invests a large amount of effort and resources in construction processes such as the follow-up, control, and monitoring of construction works, which, compared to other areas, present a low level of automation. Thus, increasing automation would reduce the times and costs of such activities. This research aims to evaluate a computer vision technique to identify objects of interest in construction sites, from videos and images of drones and static surveillance cameras. The "You Look Only Once" (YOLO) object detection neural network was used to identify eight classes of objects in 1000 drone images and 1046 static camera images of a construction site, achieving an accuracy varying between 78.8% to 82.8% and 73.56% to 93.76%, respectively. The feasibility of using classification algorithms to identify complex objects such as trucks and cranes was verified. Its application can be extended to various other forms to have an intelligent and automated process of monitoring and control project construction activities.Revisión por paresapplication/pdfengUniversidad de LimaPEhttps://doi.org/10.26439/ulima.datasets.13359info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/Repositorio Institucional - UlimaUniversidad de Limareponame:ULIMA-Institucionalinstname:Universidad de Limainstacron:ULIMAArtificial intelligenceMachine learningComputer vision techniquesNeural network modelsConstruction monitoringhttps://purl.org/pe-repo/ocde/ford#2.01.01The use of artificial intelligence to identify objects in a construction siteinfo:eu-repo/semantics/conferenceObjectArtículo de conferenciaTHUMBNAIL210421-The use of artificial intelligence to identify objects in the construction site.pdf.jpg210421-The use of artificial intelligence to identify objects in the construction site.pdf.jpgGenerated Thumbnailimage/jpeg16669https://repositorio.ulima.edu.pe/bitstream/20.500.12724/14933/5/210421-The%20use%20of%20artificial%20intelligence%20to%20identify%20objects%20in%20the%20construction%20site.pdf.jpgd08790651852b53999370368cdf8522fMD55LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.ulima.edu.pe/bitstream/20.500.12724/14933/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD53ORIGINAL210421-The use of artificial intelligence to identify objects in the construction site.pdf210421-The use of artificial intelligence to identify objects in the construction site.pdfDescargarapplication/pdf721297https://repositorio.ulima.edu.pe/bitstream/20.500.12724/14933/1/210421-The%20use%20of%20artificial%20intelligence%20to%20identify%20objects%20in%20the%20construction%20site.pdf9443f7e4833d22c87f438cce6345d63aMD51TEXT210421-The use of artificial intelligence to identify objects in the construction site.pdf.txt210421-The use of artificial intelligence to identify objects in the construction site.pdf.txtExtracted texttext/plain18510https://repositorio.ulima.edu.pe/bitstream/20.500.12724/14933/4/210421-The%20use%20of%20artificial%20intelligence%20to%20identify%20objects%20in%20the%20construction%20site.pdf.txtba044b7af67d08b8ec8890a1e2506b3fMD54CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8811https://repositorio.ulima.edu.pe/bitstream/20.500.12724/14933/2/license_rdf3655808e5dd46167956d6870b0f43800MD5220.500.12724/14933oai:repositorio.ulima.edu.pe:20.500.12724/149332024-10-23 11:35:23.507Repositorio Universidad de Limarepositorio@ulima.edu.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The use of artificial intelligence to identify objects in a construction site
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