Szczegóły publikacji

Opis bibliograficzny

Quality control automation of metallic surface using machine vision / Bartosz LENTY, Paweł J. Kwiek // W: Photonics applications in astronomy, communications, industry, and high energy physics experiments 2021 (WILGA 2021) : 31 May–1 June 2021, Warsaw, Poland / eds. Ryszard S. Romaniuk, Andrzej Smolarz, Waldemar Wojcik. — Bellingham : Society of Photo-Optical Instrumentation Engineers, cop. 2021. — (Proceedings of SPIE / The International Society for Optical Engineering ; ISSN 0277-786X ; vol. 12040). — ISBN: 9781510649552; e-ISBN: 9781510649569. — S. 120400T-1–120400T-8. — Bibliogr. s. 120400T-7–120400T-8, Abstr.

Autorzy (2)

Słowa kluczowe

image processingquality controlvision systemscattering2D imagemachine visionscratches detection

Dane bibliometryczne

ID BaDAP138799
Data dodania do BaDAP2022-01-14
Tekst źródłowyURL
DOI10.1117/12.2613807
Rok publikacji2021
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaSPIE - The International Society for Optics and Photonics
Czasopismo/seriaProceedings of SPIE / The International Society for Optical Engineering

Abstract

The article presents the usage of machine vision to automate quality control (QC) of metallic surfaces. QC include detection of selected defects of metallic surface, i.e. scratches, cracks. Imaging using the scatter method has been proposed, resulting in greater contrast. The article provides a detailed description of the measurement stand, image acquisition method and image analysis algorithm. The project’s principal aim is to construct an automatic system that controls the state of the surface with a frequency of 6 Hz.

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