Record link: 
http://hdl.handle.net/20.500.12708/138186
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Title: 
Adaptive Spatial Augmented Reality for Industrial Site Assembly
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Citation: 
Rupprecht, P., Kueffner-McCauley, H., Trimmel, M., & Schlund, S. (2021). Adaptive Spatial Augmented Reality for Industrial Site Assembly. In D. MOURTZIS (Ed.), 54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0 (pp. 405–410). Elsevier. https://doi.org/10.1016/j.procir.2021.11.068
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Publisher DOI: 
10.1016/j.procir.2021.11.068
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Rupprecht, Patrick 
Kueffner-McCauley, Hans 
Trimmel, Majesa 
Schlund, Sebastian 
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Organisational Unit: 
E330-03 - Forschungsbereich Mensch-Maschine-Interaktion 
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Published in: 
54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0 
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Volume: 
104
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Date (published): 
2021
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Event name: 
54th CIRP Conference on Manufacturing Systems, 2021 
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Event date: 
22-Sep-2021 - 24-Sep-2021
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Event place: 
Athen, Greece
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Number of Pages: 
6
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Publisher: 
Elsevier
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Keywords: 
General Materials Science; industrial site assembly; Adaptive Spatial Augmented Reality; real-time object recognition
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Abstract: 
Today, industrial assembly of large components is mostly organized as site assembly. The human-centered information provisioning for assembly tasks still bears significant optimization potential. The paper presents first results of the integration of a dynamic projection system with visual human position and gesture recognition. Work instructions and other relevant information is displayed relative to the humans' position within a large workspace. A high-resolution RGB-camera as well as the real-time object recognition algorithm YOLOv3, have been integrated into a proof-of-concept demonstrator. An evaluation at the TU Wien Pilot Factory shows the potential in terms of efficiency, usability, and cognitive workload.
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Research Areas: 
außerhalb der gesamtuniversitären Forschungsschwerpunkte: 100%
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Science Branch: 
Wirtschaftswissenschaften
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Appears in Collections:
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