US 12,340,578 B2
Systems and methods for enhancing real-time image recognition
Micah Price, Plano, TX (US); Chi-san Ho, Allen, TX (US); Aamer Charania, Flower Mound, TX (US); and Sunil Vasisht, Frisco, TX (US)
Assigned to Capital One Services, LLC, McLean, VA (US)
Filed by Capital One Services, LLC, McLean, VA (US)
Filed on Aug. 18, 2023, as Appl. No. 18/452,057.
Application 18/452,057 is a continuation of application No. 17/691,375, filed on Mar. 10, 2022, granted, now 11,776,257.
Application 17/691,375 is a continuation of application No. 16/871,916, filed on May 11, 2020, granted, now 11,301,711, issued on Apr. 12, 2022.
Application 16/871,916 is a continuation of application No. 16/425,129, filed on May 29, 2019, granted, now 10,650,265, issued on May 12, 2020.
Prior Publication US 2023/0394818 A1, Dec. 7, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 20/20 (2022.01); G06F 18/21 (2023.01); G06V 10/764 (2022.01); G06T 3/60 (2006.01); G06T 5/90 (2024.01); G06T 11/00 (2006.01)
CPC G06V 20/20 (2022.01) [G06F 18/217 (2023.01); G06V 10/764 (2022.01); G06T 3/60 (2013.01); G06T 5/90 (2024.01); G06T 11/001 (2013.01); G06V 2201/08 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A system for identifying objects in images, the system comprising:
at least one memory device storing instructions;
an augmentation tool configured to select at least one processing technique for modifying images; and
at least one processor configured to execute instructions to:
receive an image of an object;
analyze the image of an object to determine a first predicted identity depicted in the image by applying, to the object, an object identification model comprising at least one of a neural network model, a regression model, a statistical model, a parametric model, a non-parametric model, or a semi-parametric model;
determine a first confidence value distribution associated with the first predicted identity;
modify the image using the augmentation tool and at least one processing technique;
analyze the modified image to determine a second predicted identity depicted in the modified image by applying, to the modified image, the object identification model;
determine a second confidence value associated with the second predicted identity;
perform a comparison of at least one of:
a value in the second confidence value distribution to a predetermined threshold value, or
the first confidence value distribution to the second confidence value distribution;
generate an output for transmission to a user based on the comparison; and
transmit the output to the user.