Szczegóły publikacji

Opis bibliograficzny

Vision system in product quality control systems / Andrzej SIOMA // Applied Sciences (Basel) [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2076-3417. — 2023 — vol. 13 iss. 2 art. no. 751, s. 1-13. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 11-13, Abstr. — Publikacja dostępna online od: 2023-01-05

Autor

Słowa kluczowe

quality control systemIndustry 4.0hyperspectral imagingquality controlsmart factoryTQM2D-3D vision systemimage analysis

Dane bibliometryczne

ID BaDAP144855
Data dodania do BaDAP2023-01-24
Tekst źródłowyURL
DOI10.3390/app13020751
Rok publikacji2023
Typ publikacjiprzegląd
Otwarty dostęptak
Creative Commons
Czasopismo/seriaApplied Sciences (Basel)

Abstract

The development of technology for manufacturing products and machines carrying out technological operations is closely linked to developing systems for tracking and controlling product and production process parameters. This paper shows how the development of quality control and production management systems such as TQM and MES is related to the development of imaging and image analysis methods used in industry. The development of imaging methods is discussed in the context of developing product quality control capabilities. It is also shown as to what extent image analysis can be used to observe manufacturing parameters and process management capabilities. It was noted that the use of vision systems as an industrial measurement-quality control system would still increase. Due to the increase in imaging resolution, there was an increase in the imaging frequency, growth in the spectral range of imaging, and the dynamic development of three-dimensional and hybrid imaging methods. Based on experience from industrial applications and tasks described in scientific publications, areas where vision systems will play a key role in inspection tasks have been identified. This is the introductory article for the Special Issue “Image Analysis for Product Quality Control” on using vision systems in various industries to execute production quality control tasks.

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