基于機(jī)器視覺的沖裁斷面質(zhì)量檢測
[Abstract]:Aiming at the problems of low detection means, low detection speed and high false detection rate in the quality detection of the current punching and cutting surface, a new method for detecting the quality of the cutting surface based on the machine vision is proposed. The method takes the Lab VIEW software as the platform, and uses the image processing technology as the core to detect the size of the cutting face. The composition principle of the detection system, the design of the machine vision hardware and the research of the detection algorithm are described. Under the cooperation of the light source and the lens, the section image is acquired by the USB industrial camera, the image processing is carried out by using the Vision module of the Lab VIEW, and the partition size of the punching cutting surface is finally obtained, and the quality of the punching cutting surface is judged to be qualified. The experimental results show that the surface quality detection based on machine vision can quickly and accurately judge the cross-section characteristics of the cutting surface, and can meet the requirement of cross-section quality detection.
【作者單位】: 廣東工業(yè)大學(xué)材料與能源學(xué)院;廣東鍛壓機(jī)床廠有限公司;
【基金】:廣東省戰(zhàn)略性新興產(chǎn)業(yè)發(fā)展專項(xiàng)(2012A090100014) 廣東省大學(xué)生創(chuàng)新創(chuàng)業(yè)訓(xùn)練計劃項(xiàng)目(201511845028)
【分類號】:TG386.2
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