Paper
27 April 2023 Point cloud analysis in a production quality guarantor computer vision system
Anton Ivaschenko, Vladimir Avsievich, Vera Turkova, Andrey Belikov, Pavel Sitnikov
Author Affiliations +
Proceedings Volume 12637, International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023); 1263708 (2023) https://doi.org/10.1117/12.2681410
Event: International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023), 2023, Fergana, Uzbekistan
Abstract
The paper presents a solution for production control after machining based on matching of three-dimensional models of products, presented in the form of point clouds. This solution is designed for automated quality gates equipped with 3D scanners and computer vision system for intelligent control. This development is based on the model of “intelligent quality guarantor” and is included in its composition to expand the possibilities of the quality control process to the tasks of deviances identification. The results of the development were used and tested at machine-building enterprises as part of the control of small-scale production of simple products and the control of manual operations. Based on predetermined quality standards, the delivered system is capable of detecting visual defects corresponding to mechanical damage or manufacturing defects.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anton Ivaschenko, Vladimir Avsievich, Vera Turkova, Andrey Belikov, and Pavel Sitnikov "Point cloud analysis in a production quality guarantor computer vision system", Proc. SPIE 12637, International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023), 1263708 (27 April 2023); https://doi.org/10.1117/12.2681410
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KEYWORDS
Point clouds

Clouds

3D modeling

Computer vision technology

Quality control

Computing systems

Visual process modeling

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