摘要
为了提高线缆一线生产企业的工作效率以及生产流水线的自动化程度,研究了基于机器视觉的电缆方位检测系统。该系统通过机器视觉模块实时采集电缆图像,通过图像处理和机械臂旋转来检测和矫正电缆的方位,以达到目标位置。检测与矫正的精度,将影响后续电缆配件及插头的安装精度。通过试验及现场测试得出该系统具有良好的实际操作性能。
In order to improve the efficiency of the cable production enterprises and the degree of automation of production line, this paper studied the cable oriented detection system based on machine vision. The system uses the machine vision module to collect the real-time image of cable. It can reach the target position by image processing and robot armto detect and correct the orientation of cable. The accuracy of detection and correction will affect the installation accuracy of cable fittings and plugs. The experiment and field tests show that the system has good practical performance.
作者
曹东晨
陈雯
CAO Dongchen;CHEN Wen(College of Information Science and Technology, Ministry of Education, Donghua University, Shanghai 201620, China;Engineering Research Center of Digitized Textile and Fashion Technology, Ministry of Education, Donghua University, Shanghai 201620, China)
出处
《东华大学学报（自然科学版）》
CAS
北大核心
2019年第1期75-81,共7页
Journal of Donghua University(Natural Science)
基金
国家自然科学基金资助项目(61501108)
中央高校基本科研基金资助项目(16D110402)
关键词
机器视觉
线缆识别
方位检测
图像处理
machine vision
cable identification
oriented detection
image processing
