摘要
传统物资配送跟踪方法往往存在精度不高、实时性差等问题,对此,研究基于改进YOLO-3的仓库物资识别与全过程配送跟踪方法。基于改进YOLO-3处理仓库物资图像信息,识别仓库物资信息并进行定位。同时,结合仓库管理系统和全球定位系统(Global Positioning System,GPS)技术,实现物资全过程配送跟踪。实验结果表明,该方法具有良好的精准识别和实时跟踪的性能。
Traditional material distribution tracking methods often suffer from issues such as low accuracy and poor real-time performance.Therefore,research is being conducted on a warehouse material identification and full process distribution tracking method based on an improved YOLO-3.Based on the improved YOLO-3 processing of warehouse material image information,identify and locate warehouse material information.Combining warehouse management system and Global Positioning System(GPS)technology to achieve full process distribution tracking of materials.The experimental results show that this method has good performance in accurate recognition and real-time tracking.
作者
欧阳芳
王嘉延
吴瑧言
黄林泽
高子弋
OUYANG Fang;WANG Jiayan;WU Zhenyan;HUANG Linze;GAO Ziyi(Guangdong Power Grid Co.,Ltd.,Guangzhou Power Supply Bureau,Guangzhou 510700,China)
出处
《智能物联技术》
2024年第5期54-57,共4页
Technology of Io T& AI
关键词
全过程配送
仓库物资
物流跟踪
改进YOLO-3算法
whole process delivery
warehouse materials
logistics tracking
improve YOLO-3 algorithm
