| Authors |
Heber Markus, Reinbacher Christian, Rüther Matthias, Bischof Horst |
| Appeared in |
AAPR/OAGM: Machine Vision Research for High Quality Processes and Products |
| Organization |
JOANNEUM RESEARCH Forschungsges.mbH |
| Date |
May 2011 |
| Abstract |
In this work we present a novel method for assessing the quality of a robotic welding process. While
most conventional automated approaches rely on non-visual information like sound or voltage, we
introduce a vision-based approach. Although the weld seam appearance changes, we exploit only
the information from error-free reference data, and assess the welding quality through the number
of highly dissimilar frames. In our experiments we show, that this approach enables an efficient and
accurate separation of defective from error-free weldings, as well as detection of welding defects in
real-time by exploiting the spatial information provided by the welding robot. |
| Link |
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