US 11,927,718 B2
Artificial intelligence-driven carbon dioxide sequestration in the atmosphere
Mauro Marzorati, Lutz, FL (US); Jeremy R. Fox, Georgetown, TX (US); Sarbajit K. Rakshit, Kolkata (IN); and Ruben Luengas de la Fuente, Madrid (ES)
Assigned to Kyndryl, Inc., New York, NY (US)
Filed by Kyndryl, Inc., New York, NY (US)
Filed on May 20, 2022, as Appl. No. 17/749,400.
Prior Publication US 2023/0375746 A1, Nov. 23, 2023
Int. Cl. G01W 1/18 (2006.01); B64C 39/02 (2023.01); G08G 5/00 (2006.01); B64U 101/35 (2023.01)
CPC G01W 1/18 (2013.01) [B64C 39/024 (2013.01); G08G 5/003 (2013.01); B64U 2101/35 (2023.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving, by a computing device, locations of an atmospheric pollutant;
determining, by a computing device, a location of a target area of the atmospheric pollutant for sequestration;
determining, by the computing device, positioning and flight path data for airborne sequestration devices to sequester the atmospheric pollutant at the location of the target area of the atmospheric pollutant; and
deploying, by the computing device, the airborne sequestration devices with reagent according to the positioning and the flight path data to sequester the atmospheric pollutant at the location of the target area of the atmospheric pollutant.