摘要
为了提高采摘机器人果实识别定位的效率和准确性,将深度图像技术引入到了采摘机器人视觉系统的设计上,并结合计算机网络协同处理,设计了上位PC机处理和控制系统,通过计算机和机器人控制器的通信,形成了一个开放式和分布式的采摘机器人识别和控制系统。以苹果的采摘为研究对象,对深度图像和非深度图像对果实识别的准确率进行了对比,结果表明:采用深度图编码技术,对果实的识别准确率更高,对于提升果实的采摘效率和准确性具有重要的作用。
In order to improve the efficiency and accuracy of fruit recognition and positioning of picking robot,it introduced depth image technology into the design of picking robot vision system.Combined with computer network collaborative processing,it designed the upper PC processing and control system.Through the communication between computer and robot controller,it formed unification for an open and distributed picking robot recognition and control system.Taking apple picking as the research object,it compared the accuracy rate of fruit recognition of depth image and non depth image.From the comparison results,it can be seen that the accuracy rate of fruit recognition is higher by using depth image coding technology,which plays an important role in improving the efficiency and accuracy of fruit picking.
作者
李贤琴
娄全福
Li Xianqin;Lou Quanfu(Nanchang Institute of Science&Technology,Nanchang 330108,China)
出处
《农机化研究》
北大核心
2023年第3期241-244,共4页
Journal of Agricultural Mechanization Research
基金
江西省教育厅科学技术研究项目(GJJ212508)。
关键词
采摘机器人
计算机网络
深度图像
视觉系统
定位识别
picking robot
computer network
depth image
vision system
location and recognition
作者简介
李贤琴(1981-),女,江西抚州人,副教授,硕士;通讯作者:娄全福(1979-),男,江西抚州人,副教授,硕士,(E-mail)1115674280@qq.com。
