{"title":"Efficient UAV Image Recognition Mechanism for Digital Management System in Wireless Communication Networks","authors":"Zhenxian Yao, Ge Song, Jinyang Zhao","doi":"10.1002/itl2.70050","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Wireless networks have emerged as a transformative solution to address the challenges of low matching accuracy and insufficient precision in unmanned aerial vehicle (UAV) patrols and image recognition within digital management systems. This work proposes a UAV-oriented patrol inspection system for digital management, leveraging the ultra-low latency and high bandwidth of wireless communication networks to significantly enhance real-time data processing and transmission efficiency. A rapid feature matching algorithm is introduced for patrol image identification, enabling scene image processing and feature point extraction from UAV-captured imagery. Experimental results demonstrate the algorithm's superior recognition accuracy in digital systems, achieving 96% precision under high feature point density conditions.</p>\n </div>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"8 4","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet Technology Letters","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/itl2.70050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Wireless networks have emerged as a transformative solution to address the challenges of low matching accuracy and insufficient precision in unmanned aerial vehicle (UAV) patrols and image recognition within digital management systems. This work proposes a UAV-oriented patrol inspection system for digital management, leveraging the ultra-low latency and high bandwidth of wireless communication networks to significantly enhance real-time data processing and transmission efficiency. A rapid feature matching algorithm is introduced for patrol image identification, enabling scene image processing and feature point extraction from UAV-captured imagery. Experimental results demonstrate the algorithm's superior recognition accuracy in digital systems, achieving 96% precision under high feature point density conditions.