Research on Automatic Coal Sorting Technology Based on Machine Vision
Authors
Changjie Xu, Yujie Zhang, Haimei Feng, Junhong Wang, Chang Du, Jun Ding
Corresponding Author
Changjie Xu
Available Online March 2015.
- DOI
- 10.2991/iiicec-15.2015.95How to use a DOI?
- Keywords
- Automatic Sorting; Machine vision; Color extraction
- Abstract
Automatic coal sorting technology based on machine vision has the function of analyzing whether there is material on the conveyor. Contour of image will be found when there is material on conveyor. The average of color will be calculated according to respective proportion of blue component and the red component in the contour. Comparing the average with the setting threshold judges the type of material. The technology has advantage of high efficiency, good stability, reliable, etc. The system also has the function of sending signals to sorting equipment and statistic number of various materials. The system reduces production costs in coal companies, and improves production efficiency, enhance the competitiveness of companies.
- 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 - Changjie Xu AU - Yujie Zhang AU - Haimei Feng AU - Junhong Wang AU - Chang Du AU - Jun Ding PY - 2015/03 DA - 2015/03 TI - Research on Automatic Coal Sorting Technology Based on Machine Vision BT - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference PB - Atlantis Press SP - 416 EP - 419 SN - 2352-538X UR - https://doi.org/10.2991/iiicec-15.2015.95 DO - 10.2991/iiicec-15.2015.95 ID - Xu2015/03 ER -