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:
May. 05, 2026

Filed:

Oct. 02, 2023
Applicant:

Sensormatic Electronics, Llc, Boca Raton, FL (US);

Inventors:

Abhishek Mitra, Bangalore, IN;

Gopi Subramanian, Delray Beach, FL (US);

Yash Chaturvedi, Bangalore, IN;

Assignee:

Sensormatic Electronics, LLC, Boca Raton, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/52 (2022.01); G06T 3/60 (2024.01); G06T 7/73 (2017.01); G06V 10/75 (2022.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06V 20/52 (2022.01); G06T 3/60 (2013.01); G06T 7/74 (2017.01); G06V 10/759 (2022.01); G06V 40/10 (2022.01); G06T 2207/30196 (2013.01);
Abstract

Example implementations include a method, apparatus and computer-readable medium for computer vision detection of a fall event, comprising detecting a person in a first image captured at a first time. The implementations further include identifying a plurality of keypoints on the person in an image, wherein the plurality of keypoints, when connected, indicate a pose of the person. Additionally, the implementations further include detecting, using the plurality of keypoints, that the person has fallen in response to determining that, subsequent to the pose being the standing pose in a previous image, the keypoints of the plurality of keypoints associated with the shoulders of the person are higher than the keypoints of the second plurality of keypoints associated with the eyes and the ears of the person in the second image. Additionally, the implementations further include generating an alert indicating that the person has fallen.


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