Automatic Inspection for SMT Solder Paste Deposition Based on Deep Image
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摘要: 表面贴片安装技术(SMT)焊膏印刷质量机器视觉检测中,对采集的图像直接分割精度不高,而印制电路板(PCB)的焊盘、焊膏印刷模板中包含了焊膏的位置和高度信息,利用其建立标准模板节省了统计建模时间。通过焊膏印刷前裸印制线路板(PWB)的数字图像差运算来获取焊膏分割图像,大大提高了检测精度和速度。图像的形态学处理可以消除图像间的正常偏差噪声。图像深度值的提取是利用和无激光的背景图像的差运算。对比实验证明了本方案的检测准确度和速度都有较大提高。Abstract: In surface mounted technology(SMT) solder paste deposition automatic vision inspection, statistical pattern establishment takes long time and direct image segmentation suffers bad accuracy. However, the required position and height information can be extracted from the pads on the printed circuit board(PCB) and the stencil which is for solder paste deposition. The segmented images can be obtained by contrasting to the bared PCB images. Morphological processing can eliminate the tolerance between two same PCBs. Comparisons on experiment results showed this approach efficiently improved inspecting accuracy and speed.
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Keywords:
- Machine vision /
- Depth image /
- Automatic inspection /
- SMT /
- Solder paste deposition
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