A cloud-based 3D real-time inspection platform for industry: a case-study focusing automotive cast iron parts

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 rel...

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Bibliographic Details
Published in:Procedia computer science 2023, Vol.219, p.339-344
Main Authors: Pérez, José, León, Javier, Castilla, Yusbel, Shahrabadi, Somayeh, Anjos, Vitor, Adão, Telmo, Guevara López, Miguel Ángel, Peres, Emanuel, Magalhães, Luís, Gonzalez, Dibet Garcia
Format: Article
Language:English
Subjects:
3D real-time inspection
automotive industry
cast iron
cloud
computer vision
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Summary: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.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2023.01.298