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Machine vision system for the inspection of reflective parts in the automotive industry

机译:机器视觉系统,用于检查汽车行业中的反射零件

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摘要

Specular surfaces inspection remains a delicate task within the automatic control of products made by plastic plating. These objects are of very varied shape and their surface is highly reflective acting like a mirror. This paper presents steps to follow in order to detect geometric aspect surface defects on objects made by plastic plating. The projection of a binary fringes pattern is used and enables to reveal the defects near the transition between a dark fringe and a bright fringe. Indeed, the surface imperfections provoke important light rays deviations. By moving this dynamic lighting, and thanks to a saturated camera, the system brings an aspect image where the defects appear very contrasted on a dark background. A simple image processing algorithm is then applied leading to a very efficient segmentation. To obtain such resulting images, the translation step, the duty cycle and also the number of images are constraint. This article finally shows how to adjust these parameters according to the various sizes of defect and to the objects shape.
机译:在塑料镀层产品的自动控制中,镜面检测仍然是一项艰巨的任务。这些物体的形状各不相同,它们的表面具有高反射性,就像镜子一样。本文提出了一些步骤,以检测由塑料电镀制成的物体上的几何形状表面缺陷。使用二元条纹图案的投影,可以揭示暗条纹和亮条纹之间的过渡附近的缺陷。实际上,表面缺陷会引起重要的光线偏离。通过移动此动态照明,并借助饱和的摄像头,该系统可以提供纵横比图像,其中在黑暗背景下出现的缺陷看上去非常鲜明。然后应用简单的图像处理算法,导致非常有效的分割。为了获得这样的结果图像,转换步骤,占空比以及图像数量受到限制。本文最后展示了如何根据缺陷的各种大小和对象形状来调整这些参数。

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