Use of neural networks and computer vision for spill and waste detection in port waters: an application in the Port of Palma (Majorca, Spain)

Water quality and pollution is the main environmental concern for ports and adjacent coastal waters. Therefore, the development of Port Environmental Management systems often relies on water pollution monitoring. Computer vision is a powerful and versatile tool for an exhaustive and systematic monit...

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Autores: Morell Villalonga, Mariano Nicolás|||0000-0003-2866-7950, Portau, Pedro, Perelló, Antoni, Espino Infantes, Manuel|||0000-0002-9026-3976, Grifoll Colls, Manel|||0000-0003-4260-6732, Garau, Carlos
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/381308
Acceso en línea:https://hdl.handle.net/2117/381308
https://dx.doi.org/10.3390/app13010080
Access Level:acceso abierto
Palabra clave:Harbors -- Environmental aspects
Computer vision
Marine litter
Marine pollution
Monitoring technologies
Port water quality
Ports -- Aspectes ambientals
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Ports i costes
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network_acronym_str ES
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repository_id_str
spelling Use of neural networks and computer vision for spill and waste detection in port waters: an application in the Port of Palma (Majorca, Spain)Morell Villalonga, Mariano Nicolás|||0000-0003-2866-7950Portau, PedroPerelló, AntoniEspino Infantes, Manuel|||0000-0002-9026-3976Grifoll Colls, Manel|||0000-0003-4260-6732Garau, CarlosHarbors -- Environmental aspectsComputer visionMarine litterMarine pollutionMonitoring technologiesPort water qualityPorts -- Aspectes ambientalsÀrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Ports i costesWater quality and pollution is the main environmental concern for ports and adjacent coastal waters. Therefore, the development of Port Environmental Management systems often relies on water pollution monitoring. Computer vision is a powerful and versatile tool for an exhaustive and systematic monitoring task. An investigation has been conducted at the Port of Palma de Mallorca (Spain) to assess the feasibility and evaluate the main opportunities and difficulties of the implementation of water pollution monitoring based on computer vision. Experiments on surface slicks and marine litter identification based on random image sets have been conducted. The reliability and development requirements of the method have been evaluated, concluding that computer vision is suitable for these monitoring tasks. Several computer vision techniques based on convolutional neural networks were assessed, finding that Image Classification is the most adequate for marine pollution monitoring tasks due to its high accuracy rates and low training requirements. Image set size for initial training and the possibility to improve accuracy through retraining with increased image sets were considered due to the difficulty in obtaining port spill images. Thus, we have found that progressive implementation can not only offer functional monitoring systems in a shorter time frame but also reduce the total development cost for a system with the same accuracy level.This work is supported by ECOBAYS project (MCIN/AEI/10.13039/501100011033) funded from the Agencia Española de Investigación (Spanish Research Agency).Peer ReviewedMultidisciplinary Digital Publishing Institute20232023-01-0120232023-01-26journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/381308https://dx.doi.org/10.3390/app13010080reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3813082026-05-27T15:37:01Z
dc.title.none.fl_str_mv Use of neural networks and computer vision for spill and waste detection in port waters: an application in the Port of Palma (Majorca, Spain)
title Use of neural networks and computer vision for spill and waste detection in port waters: an application in the Port of Palma (Majorca, Spain)
spellingShingle Use of neural networks and computer vision for spill and waste detection in port waters: an application in the Port of Palma (Majorca, Spain)
Morell Villalonga, Mariano Nicolás|||0000-0003-2866-7950
Harbors -- Environmental aspects
Computer vision
Marine litter
Marine pollution
Monitoring technologies
Port water quality
Ports -- Aspectes ambientals
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Ports i costes
title_short Use of neural networks and computer vision for spill and waste detection in port waters: an application in the Port of Palma (Majorca, Spain)
title_full Use of neural networks and computer vision for spill and waste detection in port waters: an application in the Port of Palma (Majorca, Spain)
title_fullStr Use of neural networks and computer vision for spill and waste detection in port waters: an application in the Port of Palma (Majorca, Spain)
title_full_unstemmed Use of neural networks and computer vision for spill and waste detection in port waters: an application in the Port of Palma (Majorca, Spain)
title_sort Use of neural networks and computer vision for spill and waste detection in port waters: an application in the Port of Palma (Majorca, Spain)
dc.creator.none.fl_str_mv Morell Villalonga, Mariano Nicolás|||0000-0003-2866-7950
Portau, Pedro
Perelló, Antoni
Espino Infantes, Manuel|||0000-0002-9026-3976
Grifoll Colls, Manel|||0000-0003-4260-6732
Garau, Carlos
author Morell Villalonga, Mariano Nicolás|||0000-0003-2866-7950
author_facet Morell Villalonga, Mariano Nicolás|||0000-0003-2866-7950
Portau, Pedro
Perelló, Antoni
Espino Infantes, Manuel|||0000-0002-9026-3976
Grifoll Colls, Manel|||0000-0003-4260-6732
Garau, Carlos
author_role author
author2 Portau, Pedro
Perelló, Antoni
Espino Infantes, Manuel|||0000-0002-9026-3976
Grifoll Colls, Manel|||0000-0003-4260-6732
Garau, Carlos
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Harbors -- Environmental aspects
Computer vision
Marine litter
Marine pollution
Monitoring technologies
Port water quality
Ports -- Aspectes ambientals
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Ports i costes
topic Harbors -- Environmental aspects
Computer vision
Marine litter
Marine pollution
Monitoring technologies
Port water quality
Ports -- Aspectes ambientals
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Ports i costes
description Water quality and pollution is the main environmental concern for ports and adjacent coastal waters. Therefore, the development of Port Environmental Management systems often relies on water pollution monitoring. Computer vision is a powerful and versatile tool for an exhaustive and systematic monitoring task. An investigation has been conducted at the Port of Palma de Mallorca (Spain) to assess the feasibility and evaluate the main opportunities and difficulties of the implementation of water pollution monitoring based on computer vision. Experiments on surface slicks and marine litter identification based on random image sets have been conducted. The reliability and development requirements of the method have been evaluated, concluding that computer vision is suitable for these monitoring tasks. Several computer vision techniques based on convolutional neural networks were assessed, finding that Image Classification is the most adequate for marine pollution monitoring tasks due to its high accuracy rates and low training requirements. Image set size for initial training and the possibility to improve accuracy through retraining with increased image sets were considered due to the difficulty in obtaining port spill images. Thus, we have found that progressive implementation can not only offer functional monitoring systems in a shorter time frame but also reduce the total development cost for a system with the same accuracy level.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01
2023
2023-01-26
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/381308
https://dx.doi.org/10.3390/app13010080
url https://hdl.handle.net/2117/381308
https://dx.doi.org/10.3390/app13010080
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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