| Autor: |
Thamm, Sascha, Huebser, Louis, Adam, Tobias, Hellebrandt, Thomas, Heine, Ina, Barbalho, Sanderson, Velho, Sérgio Knorr, Becker, Marcelo, Bagnato, Vanderlei S., Schmitt, Robert H. |
| Zdroj: |
Procedia CIRP; 2020, Vol. 97, p423-428, 6p |
| Abstrakt: |
The aim of this paper is to present a conceptual approach to an augmented intelligence-based worker assistance system in manual assembly. This approach is designed to address current challenges in global value networks. We propose a self-learning multi-camera system that (1) provides augmented reality-based assembly instructions and (2) enables automated real-time in-process testing of complex manual assembly operations by using visual camera and CAD data, operational experiences and expert knowledge. As the proposed solution is targeted at enabling SMEs, cost-effectiveness is a main goal of the conceptual approach. Consequently, weak artificial intelligence is applied to realise the algorithmic chain subject to performance restricted hardware. The approach states a novelty in research and development and contributes to practical application in the field of augmented intelligence. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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