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Machine Learning for Camera-Based Monitoring of Laser Welding Processes

Machine Learning for Camera-Based Monitoring of Laser Welding Processes

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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.

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DOI: 10.5445/KSP/1000164716

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