智能物联技术2024,Vol.56Issue(5) :54-57.

基于改进YOLO-3的仓库物资识别与全过程配送跟踪方法

Warehouse Material Identification and Full Process Distribution Tracking Method Based on Improved YOLO-3

欧阳芳 王嘉延 吴瑧言 黄林泽 高子弋
智能物联技术2024,Vol.56Issue(5) :54-57.

基于改进YOLO-3的仓库物资识别与全过程配送跟踪方法

Warehouse Material Identification and Full Process Distribution Tracking Method Based on Improved YOLO-3

欧阳芳 1王嘉延 1吴瑧言 1黄林泽 1高子弋1
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作者信息

  • 1. 广东电网有限责任公司广州供电局,广东 广州 510700
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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.

Abstract

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.

关键词

全过程配送/仓库物资/物流跟踪/改进YOLO-3算法

Key words

whole process delivery/warehouse materials/logistics tracking/improve YOLO-3 algorithm

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出版年

2024
智能物联技术
中国电子科技集团公司第52研究所

智能物联技术

ISSN:2096-6059
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