Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference

Application of Machine Vision on the Nut Collars Sort System

Authors
Ling-yun Liu, Min Luo, Yue-min Wu
Corresponding Author
Ling-yun Liu
Available Online March 2015.
DOI
10.2991/iiicec-15.2015.179How to use a DOI?
Keywords
dimension detection; machine vision; sort out
Abstract

Some problems, such as slow speed, inefficient and excessive labour, etc, may exist if the quality detection is carried out artificially in the volume-production of nut collars. Therefore, the machine vision is introduced into the dynamic inspection system, which can automatically measure the inside and outside diameter and proper alignment of the nut collars in the product line. At the same time, this will trigger the sort subsystem to separate the waste products from others. As a result, it achieves the rapid measure of crucial dimension and the arrangement of grades.

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 2015 International Industrial Informatics and Computer Engineering Conference
Series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
10.2991/iiicec-15.2015.179
ISSN
2352-538X
DOI
10.2991/iiicec-15.2015.179How 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  - Ling-yun Liu
AU  - Min Luo
AU  - Yue-min Wu
PY  - 2015/03
DA  - 2015/03
TI  - Application of Machine Vision on the Nut Collars Sort System
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 797
EP  - 801
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.179
DO  - 10.2991/iiicec-15.2015.179
ID  - Liu2015/03
ER  -