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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.

Patent No.:

US 11657419 B1

PDFFull Text
Date of Patent:
May. 23, 2023

Filed:

Mar. 05, 2021

Systems and methods for building a virtual representation of a location

Applicant:

Yembo, Inc., San Diego, CA (US);

Inventors:

Marc Eder, San Diego, CA (US);

Siddharth Mohan, San Diego, CA (US);

Maciej Halber, San Diego, CA (US);

Anoop Jakka, San Diego, CA (US);

Devin Waltman, San Diego, CA (US);

Zachary Rattner, San Diego, CA (US);

Assignee:

YEMBO, INC., San Diego, CA (US);

Attorney:

Pillsbury Winthrop Shaw Pittman LLP

Primary Examiner:

Yanna Wu

Int. Cl.
CPC ...
G06T 7/50 (2017.01); G06T 7/20 (2017.01); G06Q 30/0204 (2023.01); G06Q 40/08 (2012.01); G06F 16/29 (2019.01); G06N 20/00 (2019.01); G06Q 10/0875 (2023.01); G06Q 10/0639 (2023.01); G06T 7/00 (2017.01); G06Q 30/0201 (2023.01); G06N 3/08 (2023.01); G06T 17/00 (2006.01); G06T 7/80 (2017.01); G06F 3/04842 (2022.01); G06T 17/20 (2006.01); G06V 20/00 (2022.01); G06N 3/044 (2023.01); H04N 23/63 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01); G01S 17/06 (2006.01); G06Q 50/16 (2012.01); G01S 19/42 (2010.01); G06F 18/24 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0205 (2013.01); G06F 3/04842 (2013.01); G06F 16/29 (2019.01); G06N 3/044 (2023.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06Q 10/06395 (2013.01); G06Q 10/0875 (2013.01); G06Q 30/0206 (2013.01); G06Q 40/08 (2013.01); G06T 7/0002 (2013.01); G06T 7/20 (2013.01); G06T 7/50 (2017.01); G06T 7/80 (2017.01); G06T 17/00 (2013.01); G06T 17/20 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/00 (2022.01); G06V 20/64 (2022.01); H04N 23/631 (2023.01); G01S 17/06 (2013.01); G01S 19/42 (2013.01); G06F 18/24 (2023.01); G06Q 50/16 (2013.01); G06T 2207/20081 (2013.01);
Abstract

Systems, methods, and non-transitory computer readable media are disclosed that include operations to generate a virtual representation of a physical location with spatially localized information related to elements within the location being embedded in the virtual representation. The operations includes receiving description data (e.g., a plurality of images and videos) of the location, the description data being generated via at least one of a camera, a user interface; receive metadata associated elements within the location; generating (e.g., offline or in real-time), via a machine learning model and/or a geometric model, a 3-dimensional (3D) model of the location and elements therein; and generating, based on the 3D model of the location, an information-rich virtual representation of the location by annotating the 3D model with spatially localized metadata associated with the elements within the location and semantic information of the elements.

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