Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)

Augmented Reality Based Product Invisible Area Assembly Assistance

Authors
Zenglei Wang, Shusheng Zhang, Xiaoliang Bai
Corresponding Author
Zenglei Wang
Available Online August 2018.
DOI
10.2991/caai-18.2018.26How to use a DOI?
Keywords
augmented reality; invisible area; assembly; efficiency; error rate
Abstract

Aiming at the problem of the invisible area in a manual assembly process, this paper proposes an invisible area assembly scheme based on augmented reality technology. Different location tracking methods are put forward according to whether the objects to be assembled are visible. At the same time, the enhanced visual visualization technology of invisible area data is studied, so that invisible area information can be displayed to operators better. Finally, invisible area assembly experiments based on augmented reality technology were carried out. Experimental results show that this method can significantly improve the efficiency of assembly work in complex invisible areas and reduce the assembly error rate effectively.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
August 2018
ISBN
978-94-6252-595-5
ISSN
2589-4919
DOI
10.2991/caai-18.2018.26How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zenglei Wang
AU  - Shusheng Zhang
AU  - Xiaoliang Bai
PY  - 2018/08
DA  - 2018/08
TI  - Augmented Reality Based Product Invisible Area Assembly Assistance
BT  - Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
PB  - Atlantis Press
SP  - 109
EP  - 113
SN  - 2589-4919
UR  - https://doi.org/10.2991/caai-18.2018.26
DO  - 10.2991/caai-18.2018.26
ID  - Wang2018/08
ER  -