基于机器视觉的硬币分拣系统设计
2019-08-30
作者：张重阳，王君，王震，祝连庆
单位：北京信息科技大学
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。
关键词：机器视觉；硬币分拣；模板匹配；机械臂
中图分类号：TG487；TH162；TP23文献标志码：ADOI：10.3969/j.issn.1000-7008.2019.09.024
Design of Coin Sorting System Based on Machine Vision
Zhang Chongyang，Wang Jun，Wang Zhen，Zhu Lianqing
Abstract: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 missdetection probability.
Keywords:machine vision；coin sorting；template matching；robotic arm