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Proceedings Paper

Study for steel ball surface quality detecting based on vision technique
Author(s): Deli Liu; Xianli Liu; Huanrui Hao; Yizhi Liu; Xinmiao Jiang; Peng Wang
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Paper Abstract

Bearing is a basic work-piece in machinery devices, and surface quality of steel ball is the main factor which affects the precision and longevity of bearing. Currently defects of steel ball are detected manually in industry. It is inefficiency and of high probability of misidentification. In order to assure the stability of steel ball quality this paper put forward an autodetection method based on vision technique to detect surface defects of steel ball. Firstly we designed an approach to fully expand the surface of steel ball according to the requirement of image detection. Then we made up a corresponding device to accomplish to designed approach and developed a platform system for image detection. Finally we carried a proving detection in some kind of defects of steel ball. The result of test shows that the method can be put into use to detect the general defects detection of steel ball.

Paper Details

Date Published: 4 January 2008
PDF: 5 pages
Proc. SPIE 6836, MEMS/MOEMS Technologies and Applications III, 683611 (4 January 2008); doi: 10.1117/12.756293
Show Author Affiliations
Deli Liu, Harbin Univ. of Science and Technology (China)
Xianli Liu, Harbin Univ. of Science and Technology (China)
Huanrui Hao, Harbin Univ. of Science and Technology (China)
Yizhi Liu, Harbin Univ. of Science and Technology (China)
Xinmiao Jiang, Harbin Univ. of Science and Technology (China)
Peng Wang, Harbin Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6836:
MEMS/MOEMS Technologies and Applications III
Jung-Chih Chiao; Xuyuan Chen; Zhaoying Zhou; Xinxin Li, Editor(s)

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