Machine learning for the identification and classification of pieces in industrial manufacturing

In the world of industry, there is an increasing demand for machines, maybe not more sophisticated but more intelligent, capable of automating as many functions as possible, because the more tasks a machine can do, the more time for other things a human has. One possibility of increasing a machine’s...

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Detalles Bibliográficos
Autor: García Gómez, Raúl
Tipo de recurso: tesis de maestría
Fecha de publicación:2024
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:2117/414900
Acceso en línea:https://hdl.handle.net/2117/414900
Access Level:acceso abierto
Palabra clave:Neural networks (Computer science)
Machine learning
Computer network protocols
Xarxes neuronals (Informàtica)
Aprenentatge automàtic
Protocols de xarxes d'ordinadors
Àrees temàtiques de la UPC::Enginyeria electrònica
Àrees temàtiques de la UPC::Informàtica
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network_acronym_str ES
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repository_id_str
spelling Machine learning for the identification and classification of pieces in industrial manufacturingGarcía Gómez, RaúlNeural networks (Computer science)Machine learningComputer network protocolsXarxes neuronals (Informàtica)Aprenentatge automàticProtocols de xarxes d'ordinadorsÀrees temàtiques de la UPC::Enginyeria electrònicaÀrees temàtiques de la UPC::InformàticaIn the world of industry, there is an increasing demand for machines, maybe not more sophisticated but more intelligent, capable of automating as many functions as possible, because the more tasks a machine can do, the more time for other things a human has. One possibility of increasing a machine’s intelligence is the addition of new technologies like Machine Learning and IoT. Using as an example a piece classification problem, in this master's thesis, convolutional neural networks (CNN) models have been designed for the identification and classification of images and the transmission of its result to an industrial machine. Different systems for sending data to an industrial machine have been planned and created through the use of communication protocols such as Modbus TCP, OPC UA or MQTT. The Python programming language has been used with tools such as communication libraries for the aforementioned protocols and the Machine Learning development framework Tensorflow. At the end of this work, convolutional neural network model that identified and classified parts was created, and this information could be sent to an industrial machine that has one of the communication protocols named before.Universitat Politècnica de CatalunyaSoria Pérez, José Antonio20242024-07-1120242024-09-24master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfapplication/pdfapplication/pdfhttps://hdl.handle.net/2117/414900reponame: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:2117/4149002026-05-27T15:37:01Z
dc.title.none.fl_str_mv Machine learning for the identification and classification of pieces in industrial manufacturing
title Machine learning for the identification and classification of pieces in industrial manufacturing
spellingShingle Machine learning for the identification and classification of pieces in industrial manufacturing
García Gómez, Raúl
Neural networks (Computer science)
Machine learning
Computer network protocols
Xarxes neuronals (Informàtica)
Aprenentatge automàtic
Protocols de xarxes d'ordinadors
Àrees temàtiques de la UPC::Enginyeria electrònica
Àrees temàtiques de la UPC::Informàtica
title_short Machine learning for the identification and classification of pieces in industrial manufacturing
title_full Machine learning for the identification and classification of pieces in industrial manufacturing
title_fullStr Machine learning for the identification and classification of pieces in industrial manufacturing
title_full_unstemmed Machine learning for the identification and classification of pieces in industrial manufacturing
title_sort Machine learning for the identification and classification of pieces in industrial manufacturing
dc.creator.none.fl_str_mv García Gómez, Raúl
author García Gómez, Raúl
author_facet García Gómez, Raúl
author_role author
dc.contributor.none.fl_str_mv Soria Pérez, José Antonio
dc.subject.none.fl_str_mv Neural networks (Computer science)
Machine learning
Computer network protocols
Xarxes neuronals (Informàtica)
Aprenentatge automàtic
Protocols de xarxes d'ordinadors
Àrees temàtiques de la UPC::Enginyeria electrònica
Àrees temàtiques de la UPC::Informàtica
topic Neural networks (Computer science)
Machine learning
Computer network protocols
Xarxes neuronals (Informàtica)
Aprenentatge automàtic
Protocols de xarxes d'ordinadors
Àrees temàtiques de la UPC::Enginyeria electrònica
Àrees temàtiques de la UPC::Informàtica
description In the world of industry, there is an increasing demand for machines, maybe not more sophisticated but more intelligent, capable of automating as many functions as possible, because the more tasks a machine can do, the more time for other things a human has. One possibility of increasing a machine’s intelligence is the addition of new technologies like Machine Learning and IoT. Using as an example a piece classification problem, in this master's thesis, convolutional neural networks (CNN) models have been designed for the identification and classification of images and the transmission of its result to an industrial machine. Different systems for sending data to an industrial machine have been planned and created through the use of communication protocols such as Modbus TCP, OPC UA or MQTT. The Python programming language has been used with tools such as communication libraries for the aforementioned protocols and the Machine Learning development framework Tensorflow. At the end of this work, convolutional neural network model that identified and classified parts was created, and this information could be sent to an industrial machine that has one of the communication protocols named before.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-07-11
2024
2024-09-24
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/414900
url https://hdl.handle.net/2117/414900
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
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
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 15.811543

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