Transactions of Materials and Heat Treatment

Title：Inspection of blanking section quality based on machine vision

Authors： Chen Kang Xiao Xiaoting Chen Yuankun Wang Zetao Sun Yousong Ruan Weiping

Unit： Guangdong University of Technology Guangdong Metal Forming Machine Works Co. Ltd.

KeyWords： machine vision blanking section quality inspection LabVIEW

ClassificationCode：TG386

year,vol(issue):pagenumber：2016,41(6):109-114

Abstract：

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.

Funds：

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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