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DroneShield Adds Machine Learning/AI-Based Detection Software to C-UAS Systems

DroneShield has announced the rollout of its first fully machine learning/artificial intelligence (AI) based detection and classification software to all of its existing customer systems.

DroneShield uses its proprietary techniques in signal processing and machine learning/AI to perform near-real time detection and identification of unmanned robotic systems and, more broadly, other potential threats in the electronic warfare fields. The company says the result is a dramatic increase in detection responsiveness, lower false positives and a significant increase in the speed at which new threats are detected, classified and tracked.

One of the key features of DroneShield’s technology is a very lightweight machine learning architecture designed to run on low power FPGA (Field-Programable Gate Array) hardware. This enables the system to be deployed for long periods in power scarce, air-gapped environments.

The software is designed to run on all DroneShield platforms including RfPatrol™, DroneSentry™ and DroneSentry-X™.

DroneShield adds that future device software updates will build on this system architecture and increase performance and the number of detectable threats.

Read the announcement at DroneShield

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The Government Technology & Services Coalition's Homeland Security Today (HSToday) is the premier news and information resource for the homeland security community, dedicated to elevating the discussions and insights that can support a safe and secure nation. A non-profit magazine and media platform, HSToday provides readers with the whole story, placing facts and comments in context to inform debate and drive realistic solutions to some of the nation’s most vexing security challenges.

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