Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/88987
Título: | A cloud-based 3D real-time inspection platform for industry: A casestudy focusing automotive cast iron parts |
Autor(es): | Pérez, José León, Javier Castilla, Yusbel Shahrabadi, Somayeh Anjos, Vitor Adão, Telmo López, Miguel Ángel Guevara Peres, Emanuel Magalhães, Luís Gonzaga Mendes Gonzalez, Dibet Garcia |
Palavras-chave: | 3D real-time inspection Automotive industry Cast iron Cloud Computer vision |
Data: | 1-Jan-2023 |
Editora: | Elsevier 1 |
Revista: | Procedia Computer Science |
Resumo(s): | A 3D real-Time quality inspection platform that specifically focus on automotive cast iron parts was developed for the industry and is presented in this work. It is supported by a cloud-based platform, which combines recent software and hardware advances to deal with large amounts of information related to the acquisition process and the computational power needed to execute the computer vision platform algorithms (e.g., point cloud filtering, alignment, and comparison). This platform introduces changes in the current workflow through the inspection process digitalization. Indeed, it promotes the reduction of human-related inspection errors, as well as ergonomic issues, while simultaneously making available a solution for the automatic gathering and storing of data in a cloud-like environment, for further access and advanced data analytics. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/88987 |
DOI: | 10.1016/j.procs.2023.01.298 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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1-s2.0-S1877050923003071-main.pdf Acesso restrito! | 694,29 kB | Adobe PDF | Ver/Abrir |