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 12442889 B1

Date of Patent:

Oct. 14, 2025

Filed:

Oct. 04, 2021

Multi-channel spatial positioning system

Applicant:

Inpixon, Palo Alto, CA (US);

Inventors:

James Francis Hallett, Palo Alto, CA (US);

Kirk Arnold Moir, Palo Alto, CA (US);

Assignee:

INPIXON, Palo Alto, CA (US);

Attorney:

Pillsbury Winthrop Shaw Pittman LLP

Primary Examiner:

Allen S Lin

Int. Cl.

CPC ...

G06F 18/214 (2023.01); G01S 5/02 (2010.01); G01S 5/16 (2006.01); G06F 18/22 (2023.01); G06F 18/2431 (2023.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/277 (2017.01); G06T 7/292 (2017.01); G06T 7/73 (2017.01); G06V 10/764 (2022.01); G06V 20/52 (2022.01); G06V 40/20 (2022.01); G08B 5/22 (2006.01); G08B 13/196 (2006.01); H04N 23/90 (2023.01); G01J 5/10 (2006.01); G01N 33/00 (2006.01); G01S 5/18 (2006.01);

U.S. Cl.

CPC ...

G01S 5/16 (2013.01); G01S 5/02585 (2020.05); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/2431 (2023.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/277 (2017.01); G06T 7/292 (2017.01); G06T 7/73 (2017.01); G06V 10/764 (2022.01); G06V 20/52 (2022.01); G06V 40/25 (2022.01); G08B 5/22 (2013.01); G08B 13/196 (2013.01); H04N 23/90 (2023.01); G01J 5/10 (2013.01); G01N 33/0047 (2013.01); G01S 5/18 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30232 (2013.01);

Abstract

A method includes acquiring a set of images from a plurality of cameras in a monitored environment, detecting a first entity based on the set of images, and determining a first set of locations of the first entity based on locations of the first entity in the set of images. The method also includes acquiring sensor measurements from a plurality of sensors and determining a second set of locations of the first entity based on the sensor measurements. The method also includes determining whether the first set of locations should be associated with the second set of locations based on a confidence factor, and, in response to determining that the first and second set of locations should be associated, determining a sequence of locations of the first entity through the monitored environment.

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