Exploring LoRa for Drone Detection

The use of drones poses a considerable challenge to people's privacy and security. However, vision, interference, and costs limit existing drone detection methods. In this poster, we explore the use of ubiquitous IoT transceivers to collect LoRa signals with and without a drone in flight and design a neural network to train the data. Our detection accuracy on a single link is close to 95%, and we can roughly track the drone's flight path using the network grid.