Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

A Method of Plastic Gear Inspection Based on Machine Vision

Authors
Jianbiao Ding, Yajun Zhang, Jian Zhuang, Ri Pan
Corresponding Author
Jianbiao Ding
Available Online April 2016.
DOI
10.2991/ameii-16.2016.82How to use a DOI?
Keywords
Machine Vision, Inspection, Gear, CCD camera.
Abstract

The defect detection of plastic gear is difficult because of its small size, so a method based on machine vision is proposed to inspect plastic gear accurately and quickly. Digital image of plastic gear is collected by CCD camera, and then the image is preprocessed to generate single pixel edge of gear. Based on this edge, the tooth number, circular pitch and diameters of addendum circle and root circle are measured, which are the basis of testing whether the gear is qualified. The experimental results show that this method satisfies the requirements of on-line inspection.

Copyright
© 2016, 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 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/ameii-16.2016.82
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.82How to use a DOI?
Copyright
© 2016, 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  - Jianbiao Ding
AU  - Yajun Zhang
AU  - Jian Zhuang
AU  - Ri Pan
PY  - 2016/04
DA  - 2016/04
TI  - A Method of Plastic Gear Inspection Based on Machine Vision
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 408
EP  - 411
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.82
DO  - 10.2991/ameii-16.2016.82
ID  - Ding2016/04
ER  -