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/).
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 -