Details
| Original language | English |
|---|---|
| Pages (from-to) | 125-129 |
| Number of pages | 5 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 1010 |
| Publication status | Published - 15 Feb 1989 |
| Externally published | Yes |
Abstract
Existing interactive vision systems require detailed image processing knowledge, a special command language to be learned and are not adapted to the industrial environments. Up to now, most industrial vision systems are special solutions and can be programmed by experts only. In this paper, a flexible image processing system for industrial inspection of flat parts is presented. This vision system can be configured and trained to a specific problem on site within hours by using an image-and graphic based user interface and mouse interaction. There is no need for any special programming knowledge. During a training phase, an internal knowledge base is built for the part to be inspected. During a testphase, the trained knowledge may be verified and updated in-teractively. This gives the user complete control of processing flow and full information about derived measurement data. The system is designed to produce a good/bad decision based on user defined features and related tolerances, e.g positions and distances of edges or holes, brightness and size of specific subareas. Variations, related to translation and rotation are compensated automatically up to a certain degree. The system includes a fast signal processor for 8bit greyscale processing. This allows measurements with subpixel precision fast enough for typical inspection rates of 0.5 to 10 parts/sec.
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Condensed Matter Physics
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Applied Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
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In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 1010, 15.02.1989, p. 125-129.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - User-friendly man-machine interface for a flexible industrial vision system
AU - Schaumann, Peter
AU - Tilgner, Ralph D.
PY - 1989/2/15
Y1 - 1989/2/15
N2 - Existing interactive vision systems require detailed image processing knowledge, a special command language to be learned and are not adapted to the industrial environments. Up to now, most industrial vision systems are special solutions and can be programmed by experts only. In this paper, a flexible image processing system for industrial inspection of flat parts is presented. This vision system can be configured and trained to a specific problem on site within hours by using an image-and graphic based user interface and mouse interaction. There is no need for any special programming knowledge. During a training phase, an internal knowledge base is built for the part to be inspected. During a testphase, the trained knowledge may be verified and updated in-teractively. This gives the user complete control of processing flow and full information about derived measurement data. The system is designed to produce a good/bad decision based on user defined features and related tolerances, e.g positions and distances of edges or holes, brightness and size of specific subareas. Variations, related to translation and rotation are compensated automatically up to a certain degree. The system includes a fast signal processor for 8bit greyscale processing. This allows measurements with subpixel precision fast enough for typical inspection rates of 0.5 to 10 parts/sec.
AB - Existing interactive vision systems require detailed image processing knowledge, a special command language to be learned and are not adapted to the industrial environments. Up to now, most industrial vision systems are special solutions and can be programmed by experts only. In this paper, a flexible image processing system for industrial inspection of flat parts is presented. This vision system can be configured and trained to a specific problem on site within hours by using an image-and graphic based user interface and mouse interaction. There is no need for any special programming knowledge. During a training phase, an internal knowledge base is built for the part to be inspected. During a testphase, the trained knowledge may be verified and updated in-teractively. This gives the user complete control of processing flow and full information about derived measurement data. The system is designed to produce a good/bad decision based on user defined features and related tolerances, e.g positions and distances of edges or holes, brightness and size of specific subareas. Variations, related to translation and rotation are compensated automatically up to a certain degree. The system includes a fast signal processor for 8bit greyscale processing. This allows measurements with subpixel precision fast enough for typical inspection rates of 0.5 to 10 parts/sec.
UR - http://www.scopus.com/inward/record.url?scp=84880991797&partnerID=8YFLogxK
U2 - 10.1117/12.949233
DO - 10.1117/12.949233
M3 - Conference article
AN - SCOPUS:84880991797
VL - 1010
SP - 125
EP - 129
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
SN - 0277-786X
ER -