锻压技术

基于机器视觉的冲裁断面质量检测

英文标题：Inspection of blanking section quality based on machine vision

关键词：机器视觉冲裁断面质量检测 LabVIEW

分类号：TG386

出版年,卷(期):页码：2016,41(6):109-114

摘要：

针对当前冲裁断面质量检测中出现的检测手段少、检测速度低和误检率高等问题，提出了基于机器视觉的冲裁断面质量检测新方法。该方法以LabVIEW软件为平台、以图像处理技术为核心针对冲裁断面尺寸进行检测。阐述了检测系统的组成原理、机器视觉硬件设计和检测算法研究。在光源和镜头的配合下，利用USB工业相机采集断面图像，再利用LabVIEW的Vision模块进行图像处理，最终得到冲裁断面的分区尺寸，从而判断冲裁断面质量是否合格。实验结果表明，基于机器视觉的冲裁断面质量检测能够快速准确的判断冲裁断面的断面特征，可以满足断面质量检测的要求。

For the problem of lacking detection means, low detection rate, and high false rate etc. in the inspection of blanking section quality, a new detection method was proposed based on machine vision, which was carried out by the platform of software LabVIEW and image processing technology. It was described the composition and principle of the system, hardware design and the study on detection algorithm. Finally, the partition size of blanking section was obtained under the cooperation of light source and the lens by USB industrial camera capturing the section image and vision module in NI LabVIEW processing the image, and judged whether the product was qualified or not. The results show that this method can quickly and accurately capture the section characteristics of the blanking section. It also completely meets the requirements of blanking section quality inspection.

基金项目：

基金项目:广东省战略性新兴产业发展专项（2012A090100014）；广东省大学生创新创业训练计划项目（201511845028）

作者简介：陈康（1992-），男，硕士研究生 E-mail：chenkang_hugh@163.com 通讯作者：肖小亭（1957-），男，博士，教授，博士生导师 E-mail：xiaoxt@gdut.edu.cn

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