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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.

Digital education offers support the equal participation of people with disabilities in lifelong learning. They thus provide access for independent living and participation in all areas of life and are highlighted as a central factor of successful inclusion. In order to give people with impairment the opportunity to participate in digital education, the educational and qualification needs of people with impairment in 10 member institutions of the Cooperative of Workshops for Disabled People in Northern Germany e.G. were recorded in 2016 - 2018. In this volume, existing analyses on the...