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. 01, 2024

Filed:

Apr. 13, 2021
Applicant:

Guangdong Midea Kitchen Appliances Manufacturing Co., Ltd., Foshan, CN;

Inventors:

Qiang Liu, San Jose, CA (US);

Jianliang Ma, San Jose, CA (US);

Taoli Yang, San Jose, CA (US);

Xuemei Yu, San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A47J 37/04 (2006.01); A47J 36/32 (2006.01); A47J 37/06 (2006.01); F24C 7/08 (2006.01); G05B 13/02 (2006.01); H05B 1/02 (2006.01);
U.S. Cl.
CPC ...
A47J 36/321 (2018.08); A47J 37/041 (2013.01); A47J 37/0629 (2013.01); F24C 7/081 (2013.01); G05B 13/027 (2013.01); H05B 1/0263 (2013.01); A47J 2202/00 (2013.01);
Abstract

The method and system disclosed herein presents a food preparation system that provides a user-friendly data collection and data annotation process that leverages crowd-sourced data to reduce the prohibitive costs associated with developing an extensive training set using dedicated cooking experiments and specialized manual annotation efforts. The food preparation system and corresponding method collect one or more data types (e.g., structured data such as temperature and weight data, and unstructured data such as images and thermal maps) and allow the collected data to be annotated by human users in order to provide information regarding the process of cooking, as well as food item identity, location, and/or outline information. A combination of image processing and user input is utilized in order to create models with food recognition and determining cooking progress.


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