Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)

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Weapon Equipment Auxiliary Maintenance Platform based on Augmented Reality Technology

Authors
De Zhang, Guozhang Li, Huaiguang Wang, Junning Zhang
Corresponding Author
Huaiguang Wang
Available Online July 2019.
DOI
10.2991/iccia-19.2019.59How to use a DOI?
Keywords
Augmented reality; Computer vision; Machine learning; Auxiliary maintenance.
Abstract

With the development of science and technology and the progress of society, many large-scale equipment with extremely complex structure and high technology density is gradually equipped with our army, and such equipment has very high requirements for the technical level of personnel in the maintenance process. At present, the traditional maintenance technology has the problems of poor security and low efficiency, and augmented reality technology, combined with computer vision, machine learning and other fields of knowledge, has become the mainstream method in auxiliary maintenance, which plays an important role in improving accuracy. In this paper, Augmented Reality System to Assistance Maintenance Platform (ARSAMP) is established. Firstly, the advantages and functions of augmented reality are analyzed. Secondly, it gives the development situation of foreign countries. Then the advantages and disadvantages of traditional maintenance and ARSAMP are compared and the advantages and disadvantages of the current maintenance platform are pointed out. Finally, the effective solution to improve the maintenance effect is put forward and the future development direction of the platform is prospected.

Copyright
© 2019, 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 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
Series
Advances in Computer Science Research
Publication Date
July 2019
ISBN
978-94-6252-760-7
ISSN
2352-538X
DOI
10.2991/iccia-19.2019.59How to use a DOI?
Copyright
© 2019, 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

risenwbib
TY  - CONF
AU  - De Zhang
AU  - Guozhang Li
AU  - Huaiguang Wang
AU  - Junning Zhang
PY  - 2019/07
DA  - 2019/07
TI  - Weapon Equipment Auxiliary Maintenance Platform based on Augmented Reality Technology
BT  - Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
PB  - Atlantis Press
SP  - 381
EP  - 388
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-19.2019.59
DO  - 10.2991/iccia-19.2019.59
ID  - Zhang2019/07
ER  -