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Automatic Optical Inspection of Micro Drill Bit in Printed Circuit Board Manufacturing Based on Pattern Classification

机译:基于图案分类的印刷电路板制造中微型钻头的自动光学检测

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Automatic optical inspection (AOI) of micro drill bit becomes more and more important with the rapid expanding of Printed Circuit Board (PCB) manufacturing industry. Distinguished from most traditional manual inspection approach, AOI is time-saving, objective and non contact. In this work, a pattern classification method is proposed for the AOI of micro drill bit in PCB manufacturing, in which three features of drill bit blade are extracted for classification. In order to be independent on the clamp that can guarantee the exact position of drill bit blade for photography, and reduce the cost of the AOI system, an image registration method is used to align the drill bit blade, which can also make the feature extraction much easier. The evaluation result indicates that the approach works well for the AOI of micro drill bit. It is real time, more detailed result providing and low requirement on photographic device.
机译:随着印刷电路板(PCB)制造业的快速扩展,微钻头的自动光学检测(AOI)变得越来越重要。与大多数传统的手动检测方法区别开来,AOI是节省的,客观和非接触。在这项工作中,针对PCB制造中的微钻头AOI提出了一种模式分类方法,其中提取钻头叶片的三个特征以进行分类。为了独立于可以保证钻头刀片的确切位置的夹子,并降低AOI系统的成本,使用图像配准方法对准钻头刀片,这也可以使特征提取更容易。评估结果表明该方法适用于微钻头的AOI。它是实时,更详细的结果提供和低要求照相设备。

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