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

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.