Paper
4 April 2001 Automatic visual inspection system for small stampings with free-form surfaces
Ralf Langenbach, Alexander Ohl, Peter Scharf, Joerg Semmler
Author Affiliations +
Proceedings Volume 4301, Machine Vision Applications in Industrial Inspection IX; (2001) https://doi.org/10.1117/12.420906
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
Abstract
The authors present an application in quality control where a 100% inspection of the surface and shape of small stampings is done. The stampings have a size of approximately 1 inch in diameter and a complex disc-shaped geometry with free-form surfaces. Typical defects are various deformations like cutoffs, incomplete stampings, cracks and scratches, etc. on both sides of the parts. For the inspection of the two sides two independent sensor units with an extreme diffuse IR-LED flash illumination are used. The parts are turned back between the two inspection tasks by a specially developed turning arrangement. The image processing is based on an image subtraction approach and it is guided by an inspection plan to handle the part variants. The difference image between the actually controlled image and a reference image contains the potential defects. The reference image is computed from various master parts in a teaching process. With the help of a so called region image built from a CAD model of the stamping the defect pixels are sorted by the use of a clustering method according to their spatial appearance. The preprocessing and alignment of these images, the segmentation of the defects and the steps of the final decision are described.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ralf Langenbach, Alexander Ohl, Peter Scharf, and Joerg Semmler "Automatic visual inspection system for small stampings with free-form surfaces", Proc. SPIE 4301, Machine Vision Applications in Industrial Inspection IX, (4 April 2001); https://doi.org/10.1117/12.420906
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Cited by 6 scholarly publications.
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KEYWORDS
Inspection

Image processing

Sensors

Computer aided design

Solid modeling

Image segmentation

Optical inspection

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