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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/36940
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Title: | A cloud-based 3D real-time inspection platform for industry |
Authors: | Pérez, José laamr-León, Javier Castilla, Yusbel Shahrabadi, Somayeh Anjos, Vitor Adão, Telmo Guevara-López, Miguel Peres, Emanuel Magalhães, Luís Garcia-Gonzalez, Dibet |
Editors: | Martinho, Ricardo Rui, Rijo Manuela, Maria |
Keywords: | 3D real-time inspection cloud computer vision |
Issue Date: | 2023 |
Publisher: | Elsevier B.V |
Citation: | Pérez, J., León, J., Castilla, Y., Shahrabadi, S., Anjos, V., Adão, T., López, M.Á.G., Peres, E., Magalhães, L. and Gonzalez, D.G., 2023. A cloud-based 3D real-time inspection platform for industry: A case-study focusing automotive cast iron parts. Procedia Computer Science, 219, pp.339-344. |
Abstract: | 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. |
URI: | http://hdl.handle.net/10174/36940 |
Type: | article |
Appears in Collections: | INF - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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