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Machine Vision Systems for Industrial Quality Control Inspections

Abstract : In this paper we introduce Machine Vision System (MVS) for industrial quality control inspections presenting new perspectives with the recent developments of Artificial Intelligence (AI). A brief literature review is provided which indicates a substantial growth of machine vision new studies and an improved workflow is proposed to include these findings. Besides already existing machine vision solutions there is space to increase detection in quality control inspection and reduce current implementation constraints and technical limitations. The paper shows MVS new development and evinces that a deeper understanding of AI, MVS limitations is needed to provide a clearer path for future studies.
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Submitted on : Thursday, March 21, 2019 - 2:52:01 PM
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Ricardo Luhm Silva, Marcelo Rudek, Anderson Luis Szejka, Osiris Canciglieri Junior. Machine Vision Systems for Industrial Quality Control Inspections. 15th IFIP International Conference on Product Lifecycle Management (PLM), Jul 2018, Turin, Italy. pp.631-641, ⟨10.1007/978-3-030-01614-2_58⟩. ⟨hal-02075633⟩



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