New computer vision technologies detect enemy drones faster

As part of the partnership, UTS and DroneShield, an Australian developer of counter-drone solutions, have created

optical system to detect, identify and track fast-moving threats such as enemy UAVs. It consists of a camera and an ultra-precise neural network (CNN).

UTS and DroneShield began working together in October 2019 - just a month after the aggressive use of drones against oil facilities in Abqayk Hurais in Saudi Arabia.

The new technology was recently demonstrated at the Sydney Science Park.

UTS Vice-Chancellor Attila Brungs said that thisThe project is an excellent example of what the university strives for: the creation and application of technologies that can be used “here and now.”

The computer vision system detects the threat of drones. Image: Heather Nolan

“We use CNN and deep learning toprovide DroneShield with a solution to identify potential threats to drones, ”explains project manager Nabin Sharma. - The algorithm allows the computer vision system to see what is happening, compare the data and process it for ultra-fast object recognition and image analysis. This allows for near instant and effective threat assessment and decision making in response to it. The system is capable of detecting different types of drones and checking for the presence of a payload. "

The new development could save many lives in the event of a terrorist attack, the scientists conclude.

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