Once it classifies the object, the Jetson-powered Airspace drone fires a tethered net to capture the other craft from the sky and safely returns it to its landing pad.
Airspace is the only drone security solution capable of identifying, tracking, and autonomously removing rogue drones from the sky.
The start-up is using GeForce GTX 1080 GPUs and DIGITS to train their deep learning model to detect anomalies in the sky and classify rogue drones. Once trained, the drone is equipped with an Jetson TX1 on-board, and uses VisionWorks, TensorRT and CUDA to classify and react to rogue drones in real-time.
Airspace is positioning the drone for use by law enforcement, governments, and even baseball stadiums to protect the athletes and fans from unwanted intruders.
Read more >
Autonomous Drone Hunts Down Rogue Drones From the Sky
Oct 18, 2016
Discuss (0)
Related resources
- DLI course: Building Video AI Applications at the Edge on Jetson Nano
- GTC session: Expediting Autonomous Drone-Based Power Infrastructure Inspection with Edge AI (Spring 2023)
- GTC session: Land, Sea and Air: Autonomy Across Tactical Domains (Spring 2023)
- GTC session: On-Board Satellite Component Recognition for Autonomous Missions in Orbit (Spring 2023)
- Webinar: Build Connected Robots with NVIDIA Isaac Dispatch and Client
- Webinar: Empower Your Industrial Edge AI applications with NVIDIA Jetson
About the Authors
