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:
Aug. 22, 2023

Filed:

Apr. 21, 2022
Applicant:

Lennox Industries Inc., Richardson, TX (US);

Inventors:

Sunil Bondalapati, Frisco, TX (US);

Prasad Mecheri Chandravihar, Richardson, TX (US);

FNU Kriti, Dallas, TX (US);

Assignee:

Lennox Industries Inc., Richardson, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 13/02 (2006.01); G05B 13/04 (2006.01); F24F 11/62 (2018.01); H04W 76/10 (2018.01); H04W 4/02 (2018.01); G10L 25/78 (2013.01); G10L 25/51 (2013.01); F24F 11/58 (2018.01); G10L 15/06 (2013.01); F24F 11/49 (2018.01); F24F 120/12 (2018.01); F24F 110/10 (2018.01);
U.S. Cl.
CPC ...
F24F 11/49 (2018.01); F24F 11/58 (2018.01); F24F 11/62 (2018.01); G05B 13/0265 (2013.01); G05B 13/048 (2013.01); G10L 15/063 (2013.01); G10L 25/51 (2013.01); G10L 25/78 (2013.01); H04W 4/023 (2013.01); H04W 76/10 (2018.02); F24F 2110/10 (2018.01); F24F 2120/12 (2018.01);
Abstract

An occupancy tracking device configured to establish a network connection with an access point and to capture wireless signal distortion information for the network connection. The device is further configured to generate statistical metadata for the wireless signal distortion information. The device is further configured to input the wireless signal distortion information and the statistical metadata for the wireless signal distortion information into a machine learning model. The machine learning model is configured to determine a predicted occupancy level based on the wireless signal distortion information and the statistical metadata for the wireless signal distortion information. The predicted occupancy level indicates a number of people that are present within with the space. The device is further configured to obtain the predicted occupancy level from the machine learning model and to control a Heating, Ventilation, and Air Conditioning (HVAC) system based on the predicted occupancy level.


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