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Advanced automated optical inspection system-for fishtail collapse of microrouter

机译:先进的自动化光学检查系统-微路由器的鱼尾塌陷

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摘要

In this paper, an innovative automated optical inspection (AOI) system is proposed to detect fishtail collapse of various fishtail images. Up to the present, there is no report on the inspection of fishtail collapse by using an AOI system. The proposed AOI system is the first system that can inspect the fishtail collapse of microrouter. The fishtail image of the microrouter was extracted first by a newly developed lighting device. We use the end gash to identify one of the blades as the reference blade, in order to provide an orientation-invariant method to solve the fishtail image rotation problem. Three invariant features of the blade are used as indicators of quality control. The blade with collapse, whose area is as small as 0.02 mm X 0.02 mm, could be identified based on the constructed quality control charts. Twenty-five fishtail images are used to validate the proposed AOI system. The successful detection rate of the implemented AOI system is up to 99.2 percent , and it demonstrates that this system detects the collapse accurately and robustly.
机译:在本文中,提出了一种创新的自动光学检查(AOI)系统来检测各种鱼尾图像的鱼尾塌陷。到目前为止,还没有关于使用AOI系统检查鱼尾塌陷的报告。提出的AOI系统是第一个可以检查微路由器鱼尾塌陷的系统。首先通过新开发的照明设备提取微路由器的鱼尾图像。为了提供一种解决鱼尾图像旋转问题的方向不变的方法,我们使用尾气将其中一个叶片标识为参考叶片。刀片的三个不变特征被用作质量控制的指标。可以根据构造的质量控制图确定面积为0.02 mm X 0.02 mm的塌陷叶片。使用二十五个鱼尾图像来验证所提出的AOI系统。实施的AOI系统的成功检测率高达99.2%,这说明该系统能够准确,可靠地检测崩溃。

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