| Issue |
MATEC Web Conf.
Volume 189, 2018
2018 2nd International Conference on Material Engineering and Advanced Manufacturing Technology (MEAMT 2018)
|
|
|---|---|---|
| Article Number | 05004 | |
| Number of page(s) | 6 | |
| Section | Additive Manufacturing | |
| DOI | https://doi.org/10.1051/matecconf/201818905004 | |
| Published online | 10 August 2018 | |
Research on online inspection system of emulsion explosive packaging defect based on machine vision
School of Hangzhou Dianzi University, Hangzhou, China.
*
Corresponding author : wys@hdu.edu.cn
Roll packaging is the last step in the emulsion explosives production line. Due to various reasons, explosives may have defects in the packaging process. How to sort defective drug coils efficiently and accurately is a major problem. In this paper, an online detection system for drug package which based on machine vision is developed for the defect of emulsion explosive drug packaging. This paper mainly discusses the image preprocessing, image segmentation and feature extraction. The test and application show that the system can detect the defect drug coil better and has the advantages of fast and accurate, which can meet the needs of the production site.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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