US 12,087,121 B2
Associating identification information with visually captured information
Henry Fieglein, Leander, TX (US); Kalpit Singh, Jaipur (IN); Rohith Chinnaswamy, RoundRock, TX (US); and Hob Hairston, Cedar Park, TX (US)
Assigned to Wayne Fueling Systems LLC, Austin, TX (US)
Filed by Wayne Fueling Systems LLC, Austin, TX (US)
Filed on May 26, 2021, as Appl. No. 17/330,825.
Claims priority of provisional application 63/030,059, filed on May 26, 2020.
Prior Publication US 2021/0375087 A1, Dec. 2, 2021
Int. Cl. G07F 15/10 (2006.01); G06V 20/52 (2022.01); G06V 40/16 (2022.01); G07F 15/00 (2006.01); G08B 5/22 (2006.01); G08B 25/00 (2006.01); G06V 20/62 (2022.01)
CPC G07F 15/10 (2013.01) [G06V 20/52 (2022.01); G06V 40/161 (2022.01); G07F 15/001 (2013.01); G08B 5/22 (2013.01); G08B 25/007 (2013.01); G06V 20/625 (2022.01); G06V 2201/08 (2022.01)] 16 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving, by a server, a first data packet, the first data packet including image data acquired by a first sensor included within a fuel dispenser at a fueling station and a second sensor positioned in a forecourt of the fueling station, the image data depicting at least one of an individual at the fueling station and a vehicle at the fueling station;
processing, by the server, the image data to determine a plurality of regions within the image data and a feature of the at least one of the individual and a make or model of the vehicle within at least one region of the plurality of regions, the processing including evaluating the image data with a machine learning algorithm that determines the plurality of regions within the image data and determines the feature of the individual and the make or model of the vehicle within the at least one region, the machine learning algorithm trained with model image data characterizing an image of a model feature corresponding to the determined
feature of the individual or the make or model of the vehicle;
transmitting, by the server, a query to a remote database, the query including the determined feature;
receiving, by the server, a second data packet from the remote database, the second data packet including identification information corresponding to the determined feature of the individual or the make or model of the vehicle;
determining, by the server, an alert based on the identification information, the alert including an instruction executable by the fuel dispenser to control operations thereof;
providing, by the server, the alert to the fuel dispenser, which once received causes the fuel dispenser to dispense a fuel type compatible with the make or model of the vehicle; and
further comprising determining, by the server, a third alert based on the identification information, the third alert including an indication of whether the individual is a drive-off suspect, and providing, by the server, the indication for display on a computing device of an attendant of the fueling station;
wherein responsive to displaying the indication, the computing device is configured to receive an input causing an instruction to reduce a rate of fuel dispensation to be provided to the fuel dispenser.