US 12,293,600 B2
Automatic image capture system based on a determination and verification of a physical object size in a captured image
Jason Pribble, McLean, VA (US); Daniel Alan Jarvis, Vienna, VA (US); and Nicholas Capurso, Tysons Corner, VA (US)
Assigned to Capital One Services, LLC, McLean, VA (US)
Filed by Capital One Services, LLC, McLean, VA (US)
Filed on Aug. 14, 2023, as Appl. No. 18/449,405.
Application 18/449,405 is a continuation of application No. 17/589,214, filed on Jan. 31, 2022, granted, now 11,727,707.
Application 17/589,214 is a continuation of application No. 16/855,556, filed on Apr. 22, 2020, granted, now 11,238,276, issued on Feb. 1, 2022.
Application 16/855,556 is a continuation of application No. 16/435,074, filed on Jun. 7, 2019, granted, now 10,635,898, issued on Apr. 28, 2020.
Prior Publication US 2024/0037974 A1, Feb. 1, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 30/414 (2022.01); G06T 7/62 (2017.01); G06V 30/142 (2022.01)
CPC G06V 30/414 (2022.01) [G06T 7/62 (2017.01); G06V 30/142 (2022.01); G06T 2207/30176 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for automatically capturing images, comprising:
obtaining, by at least one processor, an image frame having a first object within a field of view of a camera, the image frame associated with at least one environmental feature, wherein the at least one environmental feature includes at least one of: an angle with respect to the first object and the camera, a distance between the first object and the camera, or a second object other than the first object in the image frame;
processing, in real-time, by the at least one processor, the image frame to identify an outline of the first object in the image frame; and
determining, by the at least one processor, the first object corresponds with an object type based on at least one image parameter value being within a threshold value, wherein the at least one image parameter value is determined based on the outline of the first object and the at least one environmental feature.