Journal of Robotics, Networking and Artificial Life

Volume 4, Issue 4, March 2018, Pages 308 - 311

An Automated Optical Inspection system for a tube inner circumference state identification

Authors
Chung-Wen Hung, Jhen-Gu Jiang, Hsien-Huang P. Wu, Wei-Lung Mao
Corresponding Author
Chung-Wen Hung
Available Online 31 March 2018.
DOI
10.2991/jrnal.2018.4.4.11How to use a DOI?
Keywords
Machine Vision, AOI, EmguCV, Tube inner circumference.
Abstract

An automated optical inspection, AOI, system for a chopstick tube inner circumference state identification is proposed. This AOI system is installed after the material feed equipment to screen for cost reduction. The tube status identification is based on the proposed machine vision software, and implemented with EmguCV library. The algorithms of image processing are used to sort the material into five groups. In this paper, the algorithm will be detailed, and the experimental results will show the proposed AOI system is workable.

Copyright
© 2018, 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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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
4 - 4
Pages
308 - 311
Publication Date
2018/03/31
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2018.4.4.11How to use a DOI?
Copyright
© 2018, 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  - JOUR
AU  - Chung-Wen Hung
AU  - Jhen-Gu Jiang
AU  - Hsien-Huang P. Wu
AU  - Wei-Lung Mao
PY  - 2018
DA  - 2018/03/31
TI  - An Automated Optical Inspection system for a tube inner circumference state identification
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 308
EP  - 311
VL  - 4
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2018.4.4.11
DO  - 10.2991/jrnal.2018.4.4.11
ID  - Hung2018
ER  -