The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 07, 2026

Filed:

Aug. 12, 2021
Applicant:

Deepsig Inc., Arlington, VA (US);

Inventors:

Timothy Newman, Edgewater, MD (US);

Matthew Pennybacker, Laurel, MD (US);

Michael Piscopo, King of Prussia, PA (US);

Nathan West, Washington, DC (US);

Tamoghna Roy, Arlington, VA (US);

Timothy James O'shea, Arlington, VA (US);

James Shea, Arlington, VA (US);

Assignee:

DeepSig Inc., Arlington, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 29/08 (2006.01); B64U 10/14 (2023.01); G06N 3/08 (2023.01); G07C 5/00 (2006.01);
U.S. Cl.
CPC ...
G01R 29/0892 (2013.01); G06N 3/08 (2013.01); B64U 10/14 (2023.01); B64U 2201/20 (2023.01); G07C 5/008 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for detecting and classifying radio signals. The method includes obtaining one or more radio frequency (RF) snapshots corresponding to a first set of signals from a first RF source; generating a first training data set based on the one or more RF snapshots; annotating the first training data set to generate an annotated first training data set; generating a trained detection and classification model based on the annotated first training data set; and providing the trained detection and classification model to a sensor engine to detect and classify one or more new signals using the trained detection and classification model.


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