US 12,437,573 B2
Counterfeit detection using image analysis
Samuel Yip, East Brunswick, NJ (US); Mario A. Garcia, Arlington, VA (US); and Roberto Irizarry, Vienna, VA (US)
Assigned to Capital One Services, LLC, McLean, VA (US)
Filed by Capital One Services, LLC, McLean, VA (US)
Filed on Apr. 17, 2023, as Appl. No. 18/301,372.
Prior Publication US 2024/0346843 A1, Oct. 17, 2024
Int. Cl. G06V 30/42 (2022.01); G06V 10/82 (2022.01); G06V 30/418 (2022.01)
CPC G06V 30/42 (2022.01) [G06V 10/82 (2022.01); G06V 30/418 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A system for counterfeit detection using image analysis, the system comprising:
one or more memories; and
one or more processors, communicatively coupled to the one or more memories, configured to:
obtain a first image of a first note that is provided to a user from an entity;
identify, based on the first image, a first identifier associated with the first note and a first set of visual characteristics of the first note indicating an appearance of the first note;
obtain a second image of a second note that is incoming to the entity;
identify, based on the second image, a second identifier associated with the second note and a second set of visual characteristics of the second note indicating an appearance of the second note,
wherein the second identifier corresponds to the first identifier indicating that the second note is purported to be the first note;
determine, using a machine learning model, whether the second note is counterfeit based on the first set of visual characteristics of the first note, the second set of visual characteristics of the second note, and at least one of an occupation of the user or an interaction history associated with the user; and
transmit, based on a determination that the second note is counterfeit, an indication that the second note is counterfeit.