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http://dx.doi.org/10.5369/JSST.2008.17.5.338

Machine vision system design for inspecting steel bearing balls  

Park, Su-Woo (Dept. of Electronic Engineering, Graduate School, Daegu University)
Kim, Yoon-Su (Dept. of Electronic Engineering, Graduate School, Daegu University)
Lee, Sang-Ok (Dept. of Electronic Engineering, Graduate School, Daegu University)
Lim, Byung-Hun (Dept. of Electronic Engineering, Graduate School, Daegu University)
Kim, Tae-Gyun (Dept. of Electronic Engineering, Graduate School, Daegu University)
Park, Cheol-Young (Dept. of Electronic Engineering, Graduate School, Daegu University)
Choi, Byung-Jae (Dept. of Electronic Engineering, Graduate School, Daegu University)
Lee, Moon-Rak (DAEHO CEMT)
Do, Yong-Tae (Dept. of Electronic Engineering, Graduate School, Daegu University)
Publication Information
Journal of Sensor Science and Technology / v.17, no.5, 2008 , pp. 338-345 More about this Journal
Abstract
Steel bearing balls are important component in machines having moving parts. In this paper we describe a vision-based automatic inspection system designed for sensing defects on the surface of steel bearing balls. The system has a camera looking down over a rail on which balls roll. Two mirrors are installed at both sides of the rail so that the side parts of a ball can be well inspected. The entire ball surface can be sufficiently seen by taking three images at $120^{\circ}$ rotation interval. Defects are detected by thresholding the difference image between an image captured and the reference image of a good ball.
Keywords
visual inspection; bearing ball; machine vision system setup;
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