Target Recognition based on Machine Vision for Industrial Sorting Robot

DOI

10.2991/jrnal.2015.2.2.7How to use a DOI?

Keywords

Arm robot, Target recognition, Flexible control, Machine vision

Abstract

In order to improve the applications for an industrial sorting robot, it is necessary to increase its flexibility and control accuracy. Here an industrial robot arm is designed and set up for experiment simulation with machine vision. Some target recognition experiments are designed for vision recognition. The flying badminton tracking experiment is given to verify the efficiency of the developed algorithm. Moreover, the multiple target recognition are also tested with our developed algorithms. The machine vision technology is an effective solution. In order to reduce the influence of the size, deformation, and lighting etc., the target recognition and location method with fusion of scale invariant feature transform (SIFT) and moment invariants is developed. The experiments results showed that the developed image processing algorithms are robust, and the flexibility of the industrial robot can be improved by machine vision.

Copyright

© 2013, 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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TY  - JOUR
AU  - Jiwu Wang
AU  - Huazhe Dou
AU  - Shunkai Zheng
AU  - Masanori Sugisaka
PY  - 2015
DA  - 2015/09/01
TI  - Target Recognition based on Machine Vision for Industrial Sorting Robot
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 100
EP  - 102
VL  - 2
IS  - 2
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2015.2.2.7
DO  - 10.2991/jrnal.2015.2.2.7
ID  - Wang2015
ER  -