US 11,699,241 B2
Systems and methods for automated detection of changes in extent of structures using imagery
Stephen Ng, Rochester, NY (US); David R. Nilosek, Rochester, NY (US); Phillip Salvaggio, Rochester, NY (US); and Shadrian Strong, Bellevue, WA (US)
Assigned to Pictometry International Corp., Rochester, NY (US)
Filed by Pictometry International Corp., Rochester, NY (US)
Filed on Jan. 28, 2022, as Appl. No. 17/587,795.
Application 17/587,795 is a continuation of application No. 16/891,982, filed on Jun. 3, 2020, granted, now 11,238,282.
Claims priority of provisional application 62/858,656, filed on Jun. 7, 2019.
Prior Publication US 2022/0148304 A1, May 12, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06K 9/00 (2022.01); G06T 7/33 (2017.01); G06T 7/13 (2017.01); G06T 7/70 (2017.01); G06N 3/088 (2023.01); G06V 20/10 (2022.01); G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06F 18/24 (2023.01); G06N 3/045 (2023.01); G06V 10/75 (2022.01); G06V 10/82 (2022.01); G06V 10/44 (2022.01); G06V 20/64 (2022.01)
CPC G06T 7/344 (2017.01) [G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06F 18/24 (2023.01); G06N 3/045 (2023.01); G06N 3/088 (2013.01); G06T 7/13 (2017.01); G06T 7/70 (2017.01); G06V 10/44 (2022.01); G06V 10/7553 (2022.01); G06V 10/82 (2022.01); G06V 20/176 (2022.01); G06V 20/182 (2022.01); G06V 20/653 (2022.01); G06T 2207/10032 (2013.01); G06T 2207/20084 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A non-transitory computer readable medium storing computer executable code that when executed by a processor cause the processor to:
align, with an image classifier model, an outline of a structure at a first instance of time to pixels within an image depicting the structure, the image captured at a second instance of time;
assess a degree of alignment between the outline and the pixels within the image depicting the structure, so as to classify similarities between the structure depicted within the pixels of the image and the outline using a machine learning model to generate an alignment confidence score; and
determine an existence of a change in the structure based upon the alignment confidence score indicating a level of confidence below a predetermined threshold level of confidence that the outline and the pixels within the image are aligned.