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Appearance defects inspection plays a vital role in gear quality control. Human inspection is a traditional way to remove defective gears, which is instable and time consuming. In this paper, a machine vision system for gear defect inspection, which can inspect various types of defects on gears such as deformations, rusts, scratches and so on is developed. The proposed system designs a novel image acquisition system to enhance the defects appearances and get controlled image acquisition environment. A series of image processing methods are proposed or utilized to inspect the defects. The system not only finds out the defective gear but also remove the defective piece by flipper mechanism.
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