Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics

Study on the bulk grain auto-loading system based on the machine vision technology

Authors
Zengpu Xu, Chi Zhang, Yongqiang Wang, Congling Zhou
Corresponding Author
Zengpu Xu
Available Online April 2015.
DOI
10.2991/ameii-15.2015.98How to use a DOI?
Keywords
Bulk grain loading; Machine vision; Image processing; Canny algorithm
Abstract

This paper designs a kind of bulk grain auto-loading system based on the machine vision technology, introduces the hardware composition of system, sketches the collection process of the real-time images, and uses the Canny algorithm to process and analyze the images. It is thus clear that this system is able to improve the efficiency and accuracy of the bulk grain loading operation as well as reduce the labor intensity of workers.

Copyright
© 2015, 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 International Conference on Advances in Mechanical Engineering and Industrial Informatics
Series
Advances in Engineering Research
Publication Date
April 2015
ISBN
10.2991/ameii-15.2015.98
ISSN
2352-5401
DOI
10.2991/ameii-15.2015.98How to use a DOI?
Copyright
© 2015, 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  - Zengpu Xu
AU  - Chi Zhang
AU  - Yongqiang Wang
AU  - Congling Zhou
PY  - 2015/04
DA  - 2015/04
TI  - Study on the bulk grain auto-loading system based on the machine vision technology
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 522
EP  - 526
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.98
DO  - 10.2991/ameii-15.2015.98
ID  - Xu2015/04
ER  -