DroneShield’s DroneSentry system. Image provided.
DroneShield has announced the rollout of its first fully machine learning-based software classification system for its counter-UAV products.
The Australia-based designer and manufacturer of counter-UAV products is moving to a new software classification system, its first completely driven by artificial intelligence/machine learning.
A company announcement states that the new system is a very lightweight machine learning architecture designed to run on low power FPGA (Field-Programable Gate Array) hardware, enabling the system to be deployed for long term periods in power scarce, air-gapped environments.
DroneShield said that the new system enables 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.’
The new architecture will be deployed all DroneShield platforms including RfPatrol, DroneSentry and DroneSentry-X, and will be the basis of future software updates.
Stay up to date by getting stories like this delivered to your mailbox.
Sign up to receive our free weekly Spatial Source newsletter.
