Machine Learning for Camera-Based Monitoring of Laser Welding Processes
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Beschreibung
The increasing use of automated laser welding processes causes high demands on process monitoring. This work demonstrates methods that use a camera mounted on the focussing optics to perform pre-, in-, and post-process monitoring of welding processes. The implementation uses machine learning methods. All algorithms consider the integration into industrial processes. These challenges include a small database, limited industrial manufacturing inference hardware, and user acceptance.
Autor*in
Julia Hartung
Themen in »Machine Learning for Camera-Based Monitoring of Laser Welding Processes«
Künstliche Intelligenz Maschinelles Lernen Laserschweißen Hairpin Technologie semantische Segmentierung Qualitätssicherung machine learning quality assurance laser welding hairpin technology semantic segmentation stacked dilated U-Net CNN