Proceedings of the 2015 International Conference on Industrial Technology and Management Science

Machine Vision Processing System based on Embedded Linux

Authors
C. Ma, L.P. Xu, Z.D. Wang, K. He, R.X. Du
Corresponding Author
C. Ma
Available Online November 2015.
DOI
https://doi.org/10.2991/itms-15.2015.312How to use a DOI?
Keywords
machine vision; template match; camera calibration
Abstract
Machine vision is widely used in automatic equipments, but the vision system based on embedded Linux is seldom at present. The key points and difficulties are the image processing and its real-time on embedded system. This paper introduces the vision processing system based on ARM and Linux, mainly introduces the USB camera driver, image matching, camera calibration and object localization. Comparing the conventional method using PC with universal software, vision processing system based on ARM and Linux greatly reduces the system size and cost. Experimental results show that this system can accurately recognize and locate the target object. The efficiency can meet the requirement basically, and it still has room to improve. Combined with industrial robot, this vision system can be used to automatic carrying, assembly, etc.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Industrial Technology and Management Science
Part of series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-123-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/itms-15.2015.312How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - C. Ma
AU  - L.P. Xu
AU  - Z.D. Wang
AU  - K. He
AU  - R.X. Du
PY  - 2015/11
DA  - 2015/11
TI  - Machine Vision Processing System based on Embedded Linux
BT  - 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.312
DO  - https://doi.org/10.2991/itms-15.2015.312
ID  - Ma2015/11
ER  -