Augmented reality for assistive production in industrial environment

Detalhes bibliográficos
Autor(a) principal: Santos, André Matos Baptista
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/36741
Resumo: Smart factories are becoming more and more common and Augmented Reality (AR) is a pillar of the transition to Industry 4.0 and smart manufacturing. AR can improve many industrial processes such as training, maintenance, assembly, quality control, remote collaboration and others. AR has the potential to revolutionize the way information is accessed, used and exchanged, extending user’s perception and improving their performance. This work proposes a Pervasive AR tool, created in collaboration with industrial partners, to support the training of operators on industrial shop floors while performing production operations. A Human-Centered Design (HCD) methodology was used to identify operators’ difficulties, challenges, and define requirements. After initial meetings with stakeholders, an AR prototype was designed and developed to allow the configuration and visualization of AR content on the shop floor. Several meetings and user studies were conducted to evaluate the developed tools and improve their usability and features. Comparisons between the proposed Head Mounted Display (HMD) solution, the method currently being used in the shopfloor and alternative AR solutions (mobile based) were conducted. The results of user studies suggest that the proposed AR system can significantly improve the performance (up to 70% when compared with the method currently used in the shop floor) of novice operators.
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spelling Augmented reality for assistive production in industrial environmentAugmented realityIndustry 4.0Assistive productionHuman-centered designVirtual object manipulationUser studySmart factories are becoming more and more common and Augmented Reality (AR) is a pillar of the transition to Industry 4.0 and smart manufacturing. AR can improve many industrial processes such as training, maintenance, assembly, quality control, remote collaboration and others. AR has the potential to revolutionize the way information is accessed, used and exchanged, extending user’s perception and improving their performance. This work proposes a Pervasive AR tool, created in collaboration with industrial partners, to support the training of operators on industrial shop floors while performing production operations. A Human-Centered Design (HCD) methodology was used to identify operators’ difficulties, challenges, and define requirements. After initial meetings with stakeholders, an AR prototype was designed and developed to allow the configuration and visualization of AR content on the shop floor. Several meetings and user studies were conducted to evaluate the developed tools and improve their usability and features. Comparisons between the proposed Head Mounted Display (HMD) solution, the method currently being used in the shopfloor and alternative AR solutions (mobile based) were conducted. The results of user studies suggest that the proposed AR system can significantly improve the performance (up to 70% when compared with the method currently used in the shop floor) of novice operators.Fábricas inteligentes estão a tornar-se cada vez mais comuns e a Realidade Aumentada (Augmented Reality) é essencial para a transição para a Indústria 4.0 e para a produção inteligente. A AR pode ser usada para melhorar muitos processos industriais, tais como treino, assistência, montagem, controlo de qualidade, colaboração remota, entre outros. A AR tem potencial para revolucionar a maneira como a informação é acedida, usada e partilhada, expandindo a perceção do utilizador e melhorando a sua performance. Este trabalho propõe uma ferramenta de AR Pervasiva, criada em colaboração com parceiros da indústria, para ajudar no treino de operadores de chão de fábrica em tarefas de produção fabril. Para identificar as dificuldades, desafios e definir requisitos, foi seguida uma metodologia de Desenho Centrada no Utilizador (HCD). Depois de vários encontros com o público-alvo, um protótipo de AR foi desenhado e desenvolvido para permitir a configuração e visualização de conteúdo em AR na linha de montagem de uma fábrica. Diversas reuniões e testes com utilizadores foram realizados de modo a avaliar as ferramentas desenvolvidas e melhorar a usabilidade e as suas funcionalidades. Foram também realizadas comparações entre a solução de AR proposta, o método atualmente utilizado na linha de produção e uma solução alternativa de AR para dispositivos móveis. Os resultados dos testes de utilizador realizados sugerem que a solução proposta pode melhorar substancialmente a eficiência (até 70% quando comparado com método atualmente utilizado na linha de produção) de novos operadores.2023-03-30T10:31:03Z2022-12-16T00:00:00Z2022-12-16info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/36741engSantos, André Matos Baptistainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:10:45Zoai:ria.ua.pt:10773/36741Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:07:25.215302Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Augmented reality for assistive production in industrial environment
title Augmented reality for assistive production in industrial environment
spellingShingle Augmented reality for assistive production in industrial environment
Santos, André Matos Baptista
Augmented reality
Industry 4.0
Assistive production
Human-centered design
Virtual object manipulation
User study
title_short Augmented reality for assistive production in industrial environment
title_full Augmented reality for assistive production in industrial environment
title_fullStr Augmented reality for assistive production in industrial environment
title_full_unstemmed Augmented reality for assistive production in industrial environment
title_sort Augmented reality for assistive production in industrial environment
author Santos, André Matos Baptista
author_facet Santos, André Matos Baptista
author_role author
dc.contributor.author.fl_str_mv Santos, André Matos Baptista
dc.subject.por.fl_str_mv Augmented reality
Industry 4.0
Assistive production
Human-centered design
Virtual object manipulation
User study
topic Augmented reality
Industry 4.0
Assistive production
Human-centered design
Virtual object manipulation
User study
description Smart factories are becoming more and more common and Augmented Reality (AR) is a pillar of the transition to Industry 4.0 and smart manufacturing. AR can improve many industrial processes such as training, maintenance, assembly, quality control, remote collaboration and others. AR has the potential to revolutionize the way information is accessed, used and exchanged, extending user’s perception and improving their performance. This work proposes a Pervasive AR tool, created in collaboration with industrial partners, to support the training of operators on industrial shop floors while performing production operations. A Human-Centered Design (HCD) methodology was used to identify operators’ difficulties, challenges, and define requirements. After initial meetings with stakeholders, an AR prototype was designed and developed to allow the configuration and visualization of AR content on the shop floor. Several meetings and user studies were conducted to evaluate the developed tools and improve their usability and features. Comparisons between the proposed Head Mounted Display (HMD) solution, the method currently being used in the shopfloor and alternative AR solutions (mobile based) were conducted. The results of user studies suggest that the proposed AR system can significantly improve the performance (up to 70% when compared with the method currently used in the shop floor) of novice operators.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-16T00:00:00Z
2022-12-16
2023-03-30T10:31:03Z
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