US Patent Issued on Nov. 4 for "Small unmanned aerial systems detection and classification using multi-modal deep neural networks" (Indiana Inventor)

ALEXANDRIA, Va., Nov. 6 -- United States Patent no. 12,461,538, issued on Nov. 4.

"Small unmanned aerial systems detection and classification using multi-modal deep neural networks" was invented by Arthur P. Lobo (Fishers, Ind.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Provided is a detection and classification system and method for small unmanned aircraft systems (sUAS). The system and method detect and classify multiple simultaneous heterogeneous RC transmitters/sUAS downlinks from the RF signature using Object Detection Deep Convolutional Neural Networks (DCNNs). The method further utilizes not only passive RF, but may also utilize Electro Optic/Infrared (EO/IR), radar and acoustic sensors as well, w...