科技创新与应用2025，Vol.15Issue(34)：41-44,4.DOI:10.19981/j.CN23-1581/G3.2025.34.010
基于YOLO目标检测模型的包裹识别系统研究
摘要
Abstract
Automated sorting of packages is crucial to improving the efficiency of the logistics industry,and target detection and identification of packages is a prerequisite for automated package sorting.This paper systematically summarizes the development and research status of YOLO algorithm in package target detection,introduces the principles and development history of YOLO series models,summarizes the commonly used evaluation indicators of YOLO algorithm,and expounds the practical significance of these indicators in package sorting scenarios.The YOLO series models were trained through self-built package data sets,and the test results were compared and analyzed.Research has shown that the YOLO series models perform well in package detection and identification,especially the YOLO11 model,whose accuracy rate is as high as 97.5%,provides technical support for the rapid and accurate identification of express packages and is of great significance to the intelligent development of logistics technology.关键词
目标检测/YOLO算法/包裹分拣/物流科技/快递Key words
target detection/YOLO algorithm/package sorting/logistics technology/express delivery分类
信息技术与安全科学引用本文复制引用
严利强,沈琦琦,潘智平,孙勤良,赵长春,张文超..基于YOLO目标检测模型的包裹识别系统研究[J].科技创新与应用,2025,15(34):41-44,4.基金项目
浙江省教育厅一般科研项目(Y202455653) （Y202455653）
湖州市公益应用研究项目(2023GZ06) （2023GZ06）
