摘要
针对片式电感器拾取与码放生产实际,完成了视觉引导的片式电感器拾取与码放自动化系统方案设计和样机制作。利用视觉识别技术,基于C++和OpenCV平台,首先通过对模板匹配函数进行改进,实现了对片式电感器正反面的分类;然后通过图像处理提取片式电感器位姿坐标,经过坐标变换,转化为机械臂坐标;系统在PLC的控制下,驱动机械臂实现了对电感器的准确拾取与码放。实验表明:在强光和弱光环境下,不同种类工件码放的相对误差均在10%以下,能够满足使用需求,提升了工作效率。
We have completed the design and prototype production of a visually guided chip inductor picking and stacking automation system for the actual production of chip inductors.Using visual recognition technology,based on the C++and OpenCV platforms,the template matching function was improved to achieve the classification of the front and back faces of the chip inductor.Then,the pose coordinates of the chip inductor were extracted through image processing,and transformed into robot arm coordinates through coordinate transformation.Under the control of PLC,the system drives the robotic arm to accurately pick up and code the inductor.After experiments,the relative error of different types of workpiece stacking in strong and weak light environments is below 10%,which can meet the usage needs and improve work efficiency.
作者
殷素峰
张攀峰
YIN Su-feng;ZHANG Pan-feng(School of Advanced Manufacturing Guangdong Shaoguan Polytechnic,Shaoguan 512126,China)
出处
《机械工程与自动化》
2024年第6期182-184,共3页
Mechanical Engineering & Automation
基金
韶关市社会发展科技协同创新体系建设项目(220601104530922)
广东省教育厅特色创新项目(2022KTSCX261)。
关键词
片式电感器
自动化
机器视觉
机械臂
chip inductors
automation
machine vision
manipulator
