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:
Oct. 29, 2024

Filed:

Nov. 05, 2018
Applicant:

R4n63r Capital Llc, Wilmington, DE (US);

Inventors:

Prasad Narasimha Akella, Palo Alto, CA (US);

Ananya Honnedevasthana Ashok, Bangalore, IN;

Zakaria Ibrahim Assoul, Oakland, CA (US);

Krishnendu Chaudhury, Saratoga, CA (US);

Sameer Gupta, Palo Alto, CA (US);

Sujay Venkata Krishna Narumanchi, Bangalore, IN;

David Scott Prager, Mountain View, CA (US);

Devashish Shankar, Gwalior, IN;

Ananth Uggirala, Mountain View, CA (US);

Yash Raj Chhabra, New Delhi, IN;

Assignee:

APPLE INC., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/24 (2019.01); G05B 19/418 (2006.01); G06F 9/448 (2018.01); G06F 9/48 (2006.01); G06F 11/07 (2006.01); G06F 11/34 (2006.01); G06F 16/22 (2019.01); G06F 16/23 (2019.01); G06F 16/2455 (2019.01); G06F 16/901 (2019.01); G06F 16/9035 (2019.01); G06F 16/904 (2019.01); G06F 30/20 (2020.01); G06F 30/23 (2020.01); G06N 3/008 (2023.01); G06N 3/04 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06Q 10/06 (2023.01); G06Q 10/0631 (2023.01); G06Q 10/0639 (2023.01); G06T 19/00 (2011.01); G06V 10/25 (2022.01); G06V 10/44 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01); G06V 40/20 (2022.01); G09B 19/00 (2006.01); B25J 9/16 (2006.01); G01M 99/00 (2011.01); G05B 19/423 (2006.01); G05B 23/02 (2006.01); G06F 18/21 (2023.01); G06F 111/10 (2020.01); G06F 111/20 (2020.01); G06N 3/006 (2023.01); G06Q 10/083 (2023.01); G06Q 50/26 (2012.01); G16H 10/60 (2018.01);
U.S. Cl.
CPC ...
G05B 19/4183 (2013.01); G05B 19/41835 (2013.01); G06F 9/4498 (2018.02); G06F 9/4881 (2013.01); G06F 11/0721 (2013.01); G06F 11/079 (2013.01); G06F 11/3452 (2013.01); G06F 16/2228 (2019.01); G06F 16/2365 (2019.01); G06F 16/24568 (2019.01); G06F 16/9024 (2019.01); G06F 16/9035 (2019.01); G06F 16/904 (2019.01); G06F 30/20 (2020.01); G06F 30/23 (2020.01); G06N 3/008 (2013.01); G06N 3/04 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06Q 10/06 (2013.01); G06Q 10/063112 (2013.01); G06Q 10/06316 (2013.01); G06Q 10/06393 (2013.01); G06Q 10/06395 (2013.01); G06Q 10/06398 (2013.01); G06T 19/006 (2013.01); G06V 10/25 (2022.01); G06V 10/454 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01); G06V 40/20 (2022.01); G09B 19/00 (2013.01); B25J 9/1664 (2013.01); B25J 9/1697 (2013.01); G01M 99/005 (2013.01); G05B 19/41865 (2013.01); G05B 19/423 (2013.01); G05B 23/0224 (2013.01); G05B 2219/32056 (2013.01); G05B 2219/36442 (2013.01); G06F 18/217 (2023.01); G06F 2111/10 (2020.01); G06F 2111/20 (2020.01); G06N 3/006 (2013.01); G06Q 10/083 (2013.01); G06Q 50/26 (2013.01); G16H 10/60 (2018.01);
Abstract

The systems and methods provide an action recognition and analytics tool for use in manufacturing, health care services, shipping, retailing and other similar contexts. Machine learning action recognition can be utilized to determine cycles, processes, actions, sequences, objects and or the like in one or more sensor streams. The sensor streams can include, but are not limited to, one or more video sensor frames, thermal sensor frames, infrared sensor frames, and or three-dimensional depth frames. The analytics tool can provide for automatic creation of certificates for each instance of a subject product or service. The certificates can string together snippets of the sensor streams along with indicators of cycles, processes, action, sequences, objects, parameters and the like captured in the sensor streams.


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