Drone-Detection
案例介绍
Drone-Detection
案例介绍
Unmanned aerial vehicles (UAVs), commonly known as drones, are increasingly used in sectors ranging from surveillance and delivery to agriculture. While offering significant benefits, their proliferation also raises concerns about security, privacy, and airspace safety. This project presents a robust, real-time drone detection and tracking system based on YOLOv11x, the latest iteration of the YOLO (You Only Look Once) object detection family. Leveraging architectural innovations like C3k2 blocks, SPPF, and C2PSA spatial attention, the model excels at detecting small, fast-moving aerial targets in diverse and complex environments.
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