John Nicholas Call

US Patent:

20220350939, Nov 3, 2022

Filed:

Jul 19, 2022

Appl. No.:

17/867731

Inventors:

- Jersey City NJ, US
John Caleb Call - Lehi UT, US
Ismael Aguilera Martín de Los Santos - Madrid, ES
Ángel Guijarro Meléndez - Madrid, ES
Jeffery D. Lewis - Orem UT, US
Corey D. Reed - Cedar Hills UT, US

Assignee:

Insurance Services Office, Inc. - Jersey City NJ

International Classification:

G06F 30/13
G06F 3/04845
G06F 3/04815
G06F 30/17

Abstract:

A system and method for generating a parametric model of a roof structure comprising a processor in communication with a memory. The system receives a plurality of parameters of each roof component composing the roof structure and performs a geometry creation based on the received plurality of parameters. The system generates a constrained three-dimensional geometry based on an output of the geometry creation, and displays a three-dimensional model of the roof structure based on the constrained three-dimensional geometry.

US Patent:

20210342626, Nov 4, 2021

Filed:

Jul 12, 2021

Appl. No.:

17/373615

Inventors:

- Jersey City NJ, US
Ryan Mark Justus - Lehi UT, US
John Caleb Call - Lehi UT, US

Assignee:

Insurance Service Office, Inc. - Jersey City NJ

International Classification:

G06K 9/46
G06K 9/00
G06K 9/32
G06T 3/40
G06T 7/60
G06T 17/05
G06T 7/80

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).

US Patent:

20190384866, Dec 19, 2019

Filed:

Jun 17, 2019

Appl. No.:

16/443058

Inventors:

- Jersey City NJ, US
John Caleb Call - Lehi UT, US
Ismael Aguilera Martín de Los Santos - Madrid, ES
Ángel Guijarro Meléndez - Madrid, ES
Jeffery D. Lewis - Orem UT, US
Corey D. Reed - Cedar Hills UT, US

Assignee:

Geomni, Inc. - Jersey City NJ

International Classification:

G06F 17/50
G06F 3/0481
G06F 3/0484

Abstract:

A system and method for generating a parametric model of a roof structure comprising a processor in communication with a memory. The system receives a plurality of parameters of each roof component composing the roof structure and performs a geometry creation based on the received plurality of parameters. The system generates a constrained three-dimensional geometry based on an output of the geometry creation, and displays a three-dimensional model of the roof structure based on the constrained three-dimensional geometry.

US Patent:

20190188516, Jun 20, 2019

Filed:

Dec 10, 2018

Appl. No.:

16/214633

Inventors:

- Jersey City NJ, US
Ryan Mark Justus - Lehi UT, US
John Caleb Call - Lehi UT, US

Assignee:

Geomni, Inc. - Jersey City NJ

International Classification:

G06K 9/46
G06K 9/00
G06K 9/32
G06T 7/80
G06T 7/60
G06T 17/05
G06T 3/40

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).