Paper
3 November 2021 Quality control automation of metallic surface using machine vision
Bartosz Lenty, Paweł J. Kwiek
Author Affiliations +
Proceedings Volume 12040, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2021; 120400T (2021) https://doi.org/10.1117/12.2613807
Event: Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2021 (WILGA 2021), 2021, Warsaw, Poland
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.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bartosz Lenty and Paweł J. Kwiek "Quality control automation of metallic surface using machine vision", Proc. SPIE 12040, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2021, 120400T (3 November 2021); https://doi.org/10.1117/12.2613807
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Image resolution

Light scattering

Laser scattering

Control systems

Machine vision

Defect detection

Back to Top