首页> 外文会议>Conference on Machine Vision Applications in Industrial Inspection Ⅸ Jan 22-23, 2001, San Jose, USA >Automatic visual inspection system for small stampings with free-form surfaces
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Automatic visual inspection system for small stampings with free-form surfaces

机译:自动视觉检查系统,用于带有自由曲面的小型冲压件

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The authors present an application in quality control where a 100 percent inspection of the surface and shape of small stampings is done. The stampings have a size of approximately 1 inch in diameter and a complex disc-shaped geometry with free-form surfaces. Typical defects are various deformations like cutoffs, incomplete stampings, cracks and scratches, etc. on both sides of the parts. For the inspection of the two sides two independent sensor units with an extreme diffuse IR-LED flash illumination are used. The parts are turned back between the two inspection tasks by a specially developed turning arrangement. The image processing is based on an image subtraction approach and it is guided by an inspection plan to handle the part variants. The difference image between the actually controlled image and a reference image contains the potential defects. The reference image is computed from various master parts in a teaching process. With the help of a so called region image built from a CAD model of the stamping the defect pixels are sorted by the use of a clustering method according to their spatial appearance. The preprocessing and alignment of these images, the segmentation of the defects and the steps of the final decision are described.
机译:作者提出了一种在质量控制中的应用,其中对小型冲压件的表面和形状进行了100%的检查。压模的直径约为1英寸,复杂的盘形几何形状具有自由形式的表面。典型的缺陷是零件两侧的各种变形,例如切割,不完整的冲压,裂纹和划痕等。为了检查两侧,使用了两个独立的传感器单元,它们具有极强的漫射IR-LED闪光灯照明。通过专门开发的车削装置,零件可以在两个检查任务之间折回。图像处理基于图像减法方法,并由检查计划指导以处理零件变型。实际控制图像和参考图像之间的差异图像包含潜在缺陷。参考图像是在教学过程中从各个主要部分算出的。借助于从冲压的CAD模型构建的所谓区域图像,可以根据其空间外观使用聚类方法对缺陷像素进行分类。描述了这些图像的预处理和对齐,缺陷的分割以及最终决策的步骤。

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