Proceedings of the 2015 International conference on Applied Science and Engineering Innovation

Design of online detection system of gathering machines based on machine vision

Authors
Yingjie Tang
Corresponding Author
Yingjie Tang
Available Online May 2015.
DOI
10.2991/asei-15.2015.18How to use a DOI?
Keywords
Gathering; Machine vision; Detection system.
Abstract

An online detection system is designed for gathering machinesto solve theproblems ariseincollating. The system consists of industrial digital cameras and industrial control computer to form a distributed control system that uses Ethernet to communicate information between host computer and slave computer.Using normalized correlation algorithm for image recognition, IPC can recognize the defective product, and send signals to rejection mechanism to deliver out theunqualified signatures automatically.After repeated tests, the system can promptly identify the defective product such as mixed up signatures, missing signatures and other errors with high recognition rate, and effectively improves the quality of printed products.

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 conference on Applied Science and Engineering Innovation
Series
Advances in Engineering Research
Publication Date
May 2015
ISBN
10.2991/asei-15.2015.18
ISSN
2352-5401
DOI
10.2991/asei-15.2015.18How 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  - Yingjie Tang
PY  - 2015/05
DA  - 2015/05
TI  - Design of online detection system of gathering machines based on machine vision
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 78
EP  - 82
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.18
DO  - 10.2991/asei-15.2015.18
ID  - Tang2015/05
ER  -