基于贴片机视觉系统的SIM芯片识别定位算法

目的采用贴片机的机器视觉技术实现SIM芯片高质量和高精度的识别定位。方法采用工业摄像机收集原始图像信息,上传到VS配置的Open CV系统中进行图像预处理,减少图像信息,方便特征提取。对芯片图像进行Zernike边缘检测,减少噪声干扰,改善图像效果。通过矩形拟合提取芯片轮廓,获取芯片中心坐标。最后,通过芯片轮廓面积的提取,获得面积区间,确定合格芯片,并对其进行识别检测。结果实验结果表明,识别合格芯片的正确率达到100%,且抗噪性好;芯片定位时,位置精度在0.5个像素之内。结论在复杂情况下,该方法可保证贴片机的贴装质量和精度,有利于提高贴装的合格效率。

SIM Chip Recognition and Positioning Algorithm of Chip Mounter Vision System

The work aims to realize the high-quality and high-precision recognition and positioning of the SIM chip with the machine vision technology of the chip mounter. The original image information was collected by the industrial camera and uploaded to the OpenCV system configured by VS for the image preprocessing and the reduction of image information, so as to facilitate the feature extraction. Zernike edge detection was done on the chip image to reduce the noise interference and improve the image effects. Then, the chip contour was extracted through the rectangle fitting, and the chip central coordinates were obtained. Finally, the area interval was obtained to determine the qualified chip through the extraction of chip contour area. The qualified chip was recognized and detected. The experimental results showed that, the accuracy to recognize the qualified chip reached 100% and the noise immunity was good. When the chip was positioned, the positional accuracy was within 0.5 pixel. In the complex situations, such method can ensure the mounting quality and accuracy of the chip mounter, and help improve the efficiency of qualified mounting.