Drone Detection using Deep Learning and Convolutional Neural Networks
Project Lead Organisation:
University of Technology Sydney
Industry:
DroneShield
DIN Funding:
$50,000
Industry Funding:
$50,000
Innovation Connections:
$50,000
With the technological advancement of drones, there has been a rising threat due to their potential for use in illegal activities, such as smuggling of drugs, terrorism using explosives of chemical weapons, or unauthorised surveillance.
Using recent improvements in computer vision, image processing and Deep Learning, DroneShield and the University of Technology Sydney are working together to design and develop an AI-based optical detection system to detect and classify drones in real-time.
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