Abstract
The finish of an automobile exterior is an important factor directly affecting a customer's purchase decision. However, while paint quality has increased in recent years, highly developed visual and tactile senses have been required in the process for painted surfaces inspection and repair, and the increasingly heavy burden on operators has become a major problem. This paper describes an automated inspection method developed at Mazda. The new method senses the distinctive reflection of convex and concave defects on painted surfaces in order to identify for repair. The corresponding system consists of a near-ultraviolet radiation emitting source with gradated radiant intensity, a video image sensor, and an image processor. Using this system, it is possible to detect defects consistently and determine whether they are convex or concave.
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