US 12,451,217 B1
Method and system for detecting and quantifying specific substances, elements, or conditions utilizing an AI module
Robert J. Short, Jr., Stuart, FL (US); Lee Duke, Stuart, FL (US); John Cronin, Stuart, FL (US); Michael D'Andrea, Stuart, FL (US); and Joseph Bodkin, Stuart, FL (US)
Assigned to QUANTUM IP, LLC, Stuart, FL (US)
Filed by QUANTUM IP, LLC, Stuart, FL (US)
Filed on Nov. 4, 2024, as Appl. No. 18/936,177.
Claims priority of provisional application 63/668,639, filed on Jul. 8, 2024.
Int. Cl. G16C 20/20 (2019.01); G01N 22/00 (2006.01); G16C 20/70 (2019.01); G16C 20/90 (2019.01)
CPC G16C 20/20 (2019.02) [G01N 22/00 (2013.01); G16C 20/70 (2019.02); G16C 20/90 (2019.02)] 18 Claims
OG exemplary drawing
 
1. A method comprising:
accessing a pre-trained specific material database associating each of a plurality of materials with a corresponding material profile, each material profile including one or more parameters including at least one of a transmit frequency and a response frequency;
receiving a selection of a target material from a user;
identifying first material profile associated with the target material using the pre-trained specific material database;
transmitting, via an RF detection device, an RF signal into the target material using the one or more parameters for the target material associated with the first material profile;
receiving, via the RF detection device, a response signal from the target material;
analyzing the response signal using an AI algorithm to determine whether resonance characteristics of the response signal indicate a presence of the target material; and
notifying the user if the presence of the target material is indicated by the resonance characteristics, wherein the method further comprises determining, prior to transmitting the RF signal, one or more contextual environmental conditions, wherein the AI algorithm uses the one or more contextual environmental conditions to determine whether the resonance characteristics for the target material are present.