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:
Jun. 15, 2021

Filed:

May. 09, 2019
Applicant:

Edan Instruments, Inc., Guangdong, CN;

Inventors:

Seshadri Srinivasan, Sunnyvale, CA (US);

Jianhua Mo, Palo Alto, CA (US);

Ed Gardner, Sunnyvale, CA (US);

Feng Ling, Shenzhen, CN;

Sean Murphy, Sunnyvale, CA (US);

Assignee:

EDAN INSTRUMENTS, INC., Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); A61B 8/08 (2006.01); G06T 7/11 (2017.01); G16H 50/20 (2018.01); G16H 30/40 (2018.01); A61B 8/00 (2006.01); G06T 5/00 (2006.01); G06K 9/62 (2006.01); G01S 7/00 (2006.01); G01S 7/52 (2006.01); G06K 9/36 (2006.01); G06K 9/46 (2006.01); G06T 7/10 (2017.01);
U.S. Cl.
CPC ...
A61B 8/5269 (2013.01); A61B 8/5215 (2013.01); A61B 8/5292 (2013.01); A61B 8/565 (2013.01); G01S 7/003 (2013.01); G01S 7/52084 (2013.01); G01S 7/52098 (2013.01); G06K 9/36 (2013.01); G06K 9/4604 (2013.01); G06K 9/6218 (2013.01); G06K 9/6267 (2013.01); G06T 5/00 (2013.01); G06T 5/001 (2013.01); G06T 7/10 (2017.01); G06T 7/11 (2017.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06K 2209/05 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20008 (2013.01); G06T 2207/20081 (2013.01);
Abstract

A computing system includes a memory configured to store instructions, and one or more processors configured to execute the instructions to receive data relating to an image or a user, determine a feature from the data, identify a user preference from a user profile, obtain a model, and segment the image based on the feature, the user preference, and the model. The model is generated by determining a historical feature from historical data as an input, determining a desired output, obtaining a preliminary model based on the input and the desired output, determining an actual output of the preliminary model, determining error criteria between the actual output and the desired output, and generating the model by updating the preliminary model based on the error criteria.


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