摘要
随着电商行业的兴起和物流业务的日益复杂,物流系统中包含的货物种类越来越多,订单量越来越大,货物的快速识别和拣选成为物流公司亟待改善的重要环节。因此,如何有效地实现货物的快速识别和拣选,提高物流系统的效率和准确性,已经成为当前亟待解决的重要问题。文章对物流系统视觉机器人货物识别与拣选方法展开研究,以期为实现物流系统的智能化、自动化提供技术支持。
With the rise of the e-commerce industry and the increasing complexity of logistics business,the logistics system contains more and more types of goods,and the order volume is increasing.Rapid identification and picking of goods has become an indispensable and important link for logistics companies.Therefore,how to effectively achieve rapid identification and picking of goods,improve the efficiency and accuracy of logistics systems,has become an urgent and important issue to be solved.The paper conducts research on the methods of vision robot cargo identification and picking in logistics systems,with the aim of providing technical support for achieving intelligence and automation in logistics systems.
作者
耿远程
GENG Yuancheng(Fujian Polytechnic of Information Technology,Fuzhou 350003,China)
出处
《物流科技》
2023年第16期52-55,64,共5页
Logistics Sci-Tech
基金
2022年度福建省教育科学“十四五”规划课题“‘1+X’证书背景下岗课赛证融合的工业机器人专业人才培育路径和实践研究”(FJJKKGZ22-027)。
关键词
物流系统
视觉识别
货物识别
货物拣选
logistics system
visual recognition
cargo identification
cargo picking
作者简介
耿远程(1983-),男,湖北黄冈人,副教授,硕士,研究方向:工业机器人应用及系统集成教学与研究。
