2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Online Biscuit Detection System Based On Machine Vision

Authors
Xin Wei, Guangfeng Chen, Linlin Zhai, Qingqing Huang
Corresponding Author
Xin Wei
Available Online April 2013.
DOI
https://doi.org/10.2991/icsem.2013.237How to use a DOI?
Keywords
online detection, machine vision, geometric matching, feature extraction, NI Vision
Abstract
In order to complete the automated sorting, the manipulator needs the accurate coordinate and angle information of the biscuits. This article design a machine vision based online biscuit detection system. Devise the hardware structure and control logic. Base on geometric matching algorithm, develop the detection software with NI Vision. The software could acquire video to analysis to get the coordinates of biscuits, and update and exchange the data with manipulator control software. The system has been tested to achieve a complete detection rate about 96%.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.237How 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  - Xin Wei
AU  - Guangfeng Chen
AU  - Linlin Zhai
AU  - Qingqing Huang
PY  - 2013/04
DA  - 2013/04
TI  - Online Biscuit Detection System Based On Machine Vision
BT  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.237
DO  - https://doi.org/10.2991/icsem.2013.237
ID  - Wei2013/04
ER  -