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:
Jul. 23, 2024

Filed:

Jun. 30, 2023
Applicant:

Open Space Labs, Inc., San Francisco, CA (US);

Inventors:

Michael Ben Fleischman, San Francisco, CA (US);

Gabriel Hein, Albany, CA (US);

Thomas Friel Allen, El Ceritto, CA (US);

Abraham Botros, San Francisco, CA (US);

Assignee:

OPEN SPACE LABS, INC., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 19/00 (2011.01); G01S 17/89 (2020.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06N 20/00 (2019.01); G06T 7/11 (2017.01); G06T 7/70 (2017.01); G06T 17/00 (2006.01); G06T 17/05 (2011.01); G06T 19/20 (2011.01); G06V 20/40 (2022.01); G06V 20/56 (2022.01); G06V 30/262 (2022.01);
U.S. Cl.
CPC ...
G06T 17/00 (2013.01); G01S 17/89 (2013.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06N 20/00 (2019.01); G06T 7/11 (2017.01); G06T 7/70 (2017.01); G06T 17/05 (2013.01); G06T 19/20 (2013.01); G06V 20/41 (2022.01); G06V 20/56 (2022.01); G06V 30/274 (2022.01); G06T 2200/24 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2219/2004 (2013.01);
Abstract

A system automatically identifies objects in an environment based on a walkthrough video and an annotated floorplan of the environment. The annotated floorplan indicates locations and types of objects that are expected to be in the environment. The system receives the walkthrough video and generates a 3D model of the environment. The system applies a machine learning model to the walkthrough video to identify regions within frames where objects are captured. After identifying the regions within frames of the walkthrough video that include objects, the system modifies corresponding regions of the 3D model to include the identified objects. For each of the identified objects, the system determines a likelihood of the identified object being present at a location in the environment based on a comparison of the modified 3D model and the annotated floorplan.


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