随着近年来电子设备的更新换代加速,新一代的产品比上一代在工艺方面必定有所改进,就拿焊锡来说,对焊点的缺陷要求越来越高,如果单纯的看人工来识别不仅效率低,有时候也会由于人的不确定因素导致不良产品流下去,从而影响产品的质量和企业的效益。
In recent years, along with the electronic equipment to accelerate the upgrading of a new generation of products than the previous generation in the process must be improved, take the solder, the solder joint defects have become increasingly demanding, if only the artificial to identify not only the efficiency is low, sometimes because of the uncertainty of human factors lead to adverse product flow go on, thus affecting the quality of products and the efficiency of enterprises.
后来机器视觉检测配合焊锡机的使用,可以快速通过图像识别、分析和计算,采用灰度对比提取检测温度传感器塑料件电阻焊接部分少锡、多锡、焊锡拉丝等缺陷。并输出相应检测合格/不合格信号提示,这样子不仅产品良率大幅度提高,而且生产效率也是大幅度提升。
Later, machine vision inspection and the use of soldering machine can quickly identify, analyze and calculate through image recognition, and use gray contrast extraction to detect defects such as tin solder, tin solder, wire drawing and so on. The output of the product is not only improved greatly, but also the production efficiency is greatly improved.
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