Blasting Hole Recognition and Location Based on Machine Vision

Author:

Chen Cong Ping1,Huang Zheng1

Affiliation:

1. Three Gorges University

Abstract

In order to guide the manipulator putting explosive into the blasting hole automatically, a hole recognition and location method based on machine vision is presented. First, capture the target blasting hole pictures from two different directions by a camera mounted on the manipulator. Then, use binocular calibration method to get the hole position based on the camera coordinate. Finally, transform the camera coordinate system to the manipulator coordinate system, and then the target hole position is obtained. The experimental results show that this method has high detection accuracy and achieves a better blasting hole location.

Publisher

Trans Tech Publications, Ltd.

Reference6 articles.

1. Robert Laganiere, OpenCV2 Computer Vision Application Programming, Packt, Birmingham, (2011).

2. Shengyong Chen, Computer Vision Technology Based on OpenCV, Science, Bei Jing, (2008).

3. Guobin Cao, Xuejiao Liu, Hua Wang. The Summary about images and machine vision technology, Electronic Industry Professional Equipment. 8 (2008) pp.27-31.

4. Okamoto, Hiroshi. Machine vision for detecting insects in hole of raspberry fruit, IFAC Bio-Robotics Conference. 1 (2013).

5. Li, Changchun, Wang, Shifeng. Study on image processing of wheel valve hole based on machine vision, Advanced Research on Mechanical Engineering. 63-64 (2011) pp.541-546.

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