摘要
设计了一套基于机器视觉的硬币自动分拣系统。采用视觉算法对图像进行预处理、特征约束和模板匹配,实现硬币的识别和定位。在此基础上,通过坐标转换,使用机械臂对识别的硬币进行抓取,完成自动分拣。实验证明,该系统具有较高的准确率和较低的漏检率,可以满足自动分拣需求。
An automatic coin sorting system based on machine vision is designed in the paper.Vision algorithms are applied in this system to pre-treat images,restrain characteristics and match modules,and the coins are identified and positioned.By the coordinate transformation,the robot arm is able to collect and sort out the coin automatically.It is demonstrated in the experiment that the system meets the requirement with acceptable accuracy and miss-detection probability.
作者
张重阳
王君
王震
祝连庆
Zhang Chongyang;Wang Jun;Wang Zhen;Zhu Lianqing
出处
《工具技术》
2019年第9期95-98,共4页
Tool Engineering
基金
教育部“长江学者与创新团队发展计划”(IRT_16R07)
北京信息科技大学2018年人才培养质量提高项目(5111823205)
关键词
机器视觉
硬币分拣
模板匹配
机械臂
machine vision
coin sorting
template matching
robotic arm
