The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 20, 2023

Filed:

Jul. 12, 2021
Applicant:

Insurance Service Office, Inc., Jersey City, NJ (US);

Inventors:

Bryce Zachary Porter, Lehi, UT (US);

Ryan Mark Justus, Lehi, UT (US);

John Caleb Call, Lehi, UT (US);

Assignee:

Insurance Services Office, Inc., Jersey City, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); G06T 3/40 (2006.01); G06T 7/60 (2017.01); G06T 17/05 (2011.01); G06T 7/80 (2017.01); G06V 20/10 (2022.01); G06V 10/56 (2022.01); G06V 10/764 (2022.01); G06V 10/48 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06T 3/4038 (2013.01); G06T 7/60 (2013.01); G06T 7/80 (2017.01); G06T 17/05 (2013.01); G06V 10/48 (2022.01); G06V 10/56 (2022.01); G06V 10/764 (2022.01); G06V 20/176 (2022.01); G06V 20/64 (2022.01);
Abstract

Systems and methods for property feature detection and extraction using digital images. The image sources could include aerial imagery, satellite imagery, ground-based imagery, imagery taken from unmanned aerial vehicles (UAVs), mobile device imagery, etc. The detected geometric property features could include tree canopy, pools and other bodies of water, concrete flatwork, landscaping classifications (gravel, grass, concrete, asphalt, etc.), trampolines, property structural features (structures, buildings, pergolas, gazebos, terraces, retaining walls, and fences), and sports courts. The system can automatically extract these features from images and can then project them into world coordinates relative to a known surface in world coordinates (e.g., from a digital terrain model).


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