引用本文:孙瑞霞,李炜,王宗乾.基于颜色智能识别的嵌入式筒管分拣系统设计(J/M/D/N,J:杂志,M:书,D:论文,N:报纸).期刊名称,2017,34(3):71-76
CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435
【打印本页】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 829次   下载 567 本文二维码信息
码上扫一扫!
分享到: 微信 更多
基于颜色智能识别的嵌入式筒管分拣系统设计
孙瑞霞,李炜,王宗乾1
安徽工程大学 安徽省电气传动与控制重点实验室,安徽 芜湖 241000
摘要:
为了满足纺织企业对筒管分拣系统的要求,提高分拣精度、实时性和智能化程度,研究并设计了一个基于颜色智能识别的嵌入式筒管分拣系统;选用以ARM Cortex M4为内核的STM32F407VG作为控制芯片,详细介绍了系统的硬件设计、软件设计过程和方法;重点研究了自适应滤波方法、根据筒管图像RGB信息进行颜色识别和分拣的算法,并基于LabVIEW 2014开发了实用的人机交互界面;结果表明:系统可实现剔除有纱筒管,将空筒管自动按颜色分拣;空筒管分拣正确率接近99%,有纱筒管剔除接近98%,运行速度180根/min。
关键词:  ARM  分拣  RGB  图像  识别
DOI:
分类号:
基金项目:
Design of Embedded Bobbin Multicolor Sorting System Based on Color Intelligent Identification
SUN Rui xia,LI Wei,WANG Zong qian
Abstract:
In order to meet the requirement of textile enterprise on the bobbin sorting system, increase the sorting accuracy, real time and intelligent degree, an embedded tube multicolor sorting control system is studied and designed from chip selection, hardware design, software design and optimization. ARM cortex M4 architecture is chosen as the core, STM32F407VG as control chip, and introduction of the system design is given in detail. Adaptive filtering method, the color identification and sorting algorithm of bobbin based on RGB information are mainly studied. A practical man machine interface is developed based on the LabVIEW 2014. The results show that removing tube can be realized, empty bobbin will be automatically sorted according to color and reducers straighten out. Empty bobbin sorting accuracy is close to 99%. Bobbin eliminating accuracy is close to 98%. Running speed is 180 per minute.
Key words:  Advanced RISC Machines(ARM)  sorting  RGB  image  recognition
重庆工商大学学报(自然科学版) 版权所有
地址:中国 重庆市 南岸区学府大道19号 重庆工商大学学术期刊社 邮编:400067
电话:023-62769495 传真:
您是第4752783位访客
关注微信二维码