Proceedings of the 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018)

Spatial position and posture of component detection system based on binocular stereo vision

Authors
Yuan Liu, Yunfeng Fei, Wei Wang, Yinhao Song
Corresponding Author
Yuan Liu
Available Online September 2018.
DOI
10.2991/iceep-18.2018.313How to use a DOI?
Keywords
binocular stereo vision, position and posture detection, automatic docking
Abstract

With the continuous improvement of the manufacturing level in the aerospace, automobile, shipbuilding and other fields, higher requirements for the assembly precision and speed of the components in the manufacturing process are raised. However, the manual operation method is generally adopted in the work of large mechanical parts assembly in our country. Through the visual feedback of the human eye to the operation interface, the labor intensity is large, the efficiency is low, and the assembly cycle is long. To solve this problem, spatial position and posture of object detection system based on binocular stereo vision is proposed. On the basis of the predecessors, the traditional calibration method is improved, the calibration of the binocular camera is realized and the position and position deviation of the component is measured by the binocular camera. The difference of the position detection system of the binocular vision is less than 0.1mm in the three space positions, and the difference between the three rotation angles is less than 0.15 degrees. It lays the foundation for automatic docking of components.

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 7th International Conference on Energy and Environmental Protection (ICEEP 2018)
Series
Advances in Engineering Research
Publication Date
September 2018
ISBN
978-94-6252-558-0
ISSN
2352-5401
DOI
10.2991/iceep-18.2018.313How 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  - Yuan Liu
AU  - Yunfeng Fei
AU  - Wei Wang
AU  - Yinhao Song
PY  - 2018/09
DA  - 2018/09
TI  - Spatial position and posture of component detection system based on binocular stereo vision
BT  - Proceedings of the 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018)
PB  - Atlantis Press
SP  - 1722
EP  - 1726
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-18.2018.313
DO  - 10.2991/iceep-18.2018.313
ID  - Liu2018/09
ER  -