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:
Feb. 25, 2025

Filed:

Jan. 11, 2023
Applicant:

Masimo Corporation, Irvine, CA (US);

Inventors:

Bilal Muhsin, Irvine, CA (US);

Richard Priddell, Irvine, CA (US);

Valery G. Telfort, Irvine, CA (US);

Naoki Kokawa, Tustin, CA (US);

Ammar Al-Ali, San Juan Capistrano, CA (US);

Mohammad Usman, Mission Viejo, CA (US);

Assignee:

Masimo Corporation, Irvine, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G08B 21/04 (2006.01); G06T 7/00 (2017.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 20/52 (2022.01); G06V 40/10 (2022.01); G06V 40/16 (2022.01); G06V 40/20 (2022.01); G08B 21/02 (2006.01); G10L 25/51 (2013.01);
U.S. Cl.
CPC ...
G08B 21/043 (2013.01); G06T 7/0012 (2013.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 20/52 (2022.01); G06V 40/10 (2022.01); G06V 40/168 (2022.01); G06V 40/172 (2022.01); G06V 40/20 (2022.01); G08B 21/0208 (2013.01); G08B 21/0294 (2013.01); G08B 21/0492 (2013.01); G10L 25/51 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30201 (2013.01); G06T 2207/30232 (2013.01);
Abstract

Systems and methods are provided for machine learning based monitoring. Image data from a camera is received. On the hardware accelerator, a person detection model based on the image data is invoked. The person detection model outputs first classification result. Based on the first classification result, a person is detected. Second image data is received from the camera. In response to detecting the person, a fall detection model is invoked on the hardware accelerator based on the second image data. The fall detection model outputs a second classification result. A potential fall based on the second classification result is detected. An alert is provided in response to detecting the potential fall.


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