US 12,340,622 B2
Increasing a false positive identification rate of a face recognition algorithm by altering a value of an image classification feature associated with the face recognition algorithm
Annika P. Singh, Austin, TX (US); and Arati P. Singh, Austin, TX (US)
Assigned to Dauntless Labs, LLC, Austin, TX (US)
Filed by Dauntless Labs, LLC, Austin, TX (US)
Filed on Nov. 20, 2023, as Appl. No. 18/514,497.
Application 18/514,497 is a continuation of application No. 18/474,750, filed on Sep. 26, 2023, granted, now 11,837,019.
Prior Publication US 2025/0104471 A1, Mar. 27, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 40/16 (2022.01)
CPC G06V 40/172 (2022.01) 20 Claims
OG exemplary drawing
 
1. A method comprising:
using a first image sensor, acquiring image data for a first facial image of a person;
selecting an application profile for the first facial image, wherein the application profile is selected to alter a value of at least one image classification feature used by a face recognition algorithm in order to increase a false positive identification rate of the face recognition algorithm that is configured to match an input facial image with at least one of N stored facial images, wherein N is greater than 1,000; and
based on the selected application profile, modifying an aspect associated with the face of the person, such that a second facial image of the face, when acquired by a second image sensor subsequent to the modification of the aspect, is different from the first facial image acquired by the first image sensor.