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:
Jan. 12, 2021

Filed:

Nov. 05, 2018
Applicant:

Drishti Technologies, Inc., Palo Alto, CA (US);

Inventors:

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

Ananya Honnedevasthana Ashok, Bangalore, IN;

Krishnendu Chaudhury, Saratoga, CA (US);

Sujay Venkata Krishna Narumanchi, Bangalore, IN;

Devashish Shankar, Gwalior, IN;

Ananth Uggirala, Mountain View, CA (US);

Assignee:

Drishti Technologies, Inc., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G05B 19/418 (2006.01); G06Q 10/06 (2012.01); G06F 16/9035 (2019.01); G06F 16/904 (2019.01); G06F 16/2455 (2019.01); G06F 30/20 (2020.01); G06F 30/23 (2020.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06F 16/23 (2019.01); G06F 11/07 (2006.01); G06N 20/00 (2019.01); G06K 9/00 (2006.01); G06F 16/22 (2019.01); G06N 3/00 (2006.01); G06F 9/48 (2006.01); G06F 16/901 (2019.01); G06N 7/00 (2006.01); G06F 9/448 (2018.01); G06T 19/00 (2011.01); G09B 19/00 (2006.01); G06F 111/10 (2020.01); G06F 111/20 (2020.01); G06K 9/62 (2006.01); G01M 99/00 (2011.01); G06Q 50/26 (2012.01); B25J 9/16 (2006.01); G05B 19/423 (2006.01); G16H 10/60 (2018.01); G06Q 10/08 (2012.01);
U.S. Cl.
CPC ...
G05B 19/41835 (2013.01); G05B 19/4183 (2013.01); G06F 9/4498 (2018.02); G06F 9/4881 (2013.01); G06F 11/079 (2013.01); G06F 11/0721 (2013.01); G06F 16/2228 (2019.01); G06F 16/2365 (2019.01); G06F 16/24568 (2019.01); G06F 16/904 (2019.01); G06F 16/9024 (2019.01); G06F 16/9035 (2019.01); G06F 30/20 (2020.01); G06F 30/23 (2020.01); G06K 9/00335 (2013.01); G06N 3/008 (2013.01); G06N 3/04 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01); G06Q 10/06 (2013.01); G06Q 10/06316 (2013.01); G06Q 10/06393 (2013.01); G06Q 10/06395 (2013.01); G06Q 10/06398 (2013.01); G06Q 10/063112 (2013.01); G06T 19/006 (2013.01); 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 2219/32056 (2013.01); G05B 2219/36442 (2013.01); G06F 2111/10 (2020.01); G06F 2111/20 (2020.01); G06K 9/6262 (2013.01); 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, restaurants 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 establishing traceability.


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