Efficient UAV Image Recognition Mechanism for Digital Management System in Wireless Communication Networks

IF 0.9 Q4 TELECOMMUNICATIONS
Zhenxian Yao, Ge Song, Jinyang Zhao
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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.

无线通信网络中数字化管理系统的高效无人机图像识别机制
无线网络已经成为一种变革性的解决方案,以解决数字管理系统中无人机(UAV)巡逻和图像识别中匹配精度低和精度不足的挑战。本文提出了一种面向无人机的数字化管理巡检系统,利用无线通信网络的超低时延和高带宽,显著提高实时数据处理和传输效率。介绍了一种用于巡逻图像识别的快速特征匹配算法,实现了对无人机捕获图像的场景图像处理和特征点提取。实验结果表明,该算法在数字系统中具有较高的识别精度,在高特征点密度条件下,准确率达到96%。
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