SMART RICE COOKERS CAPABLE OF MIXED GRAIN COOKING AND ABNORMAL CONDITIONS DETECTION

Number of patents in Portfolio can not be more than 2000

United States of America

APP PUB NO 20190274337A1
SERIAL NO

15760841

Stats

ATTORNEY / AGENT: (SPONSORED)

Importance

Loading Importance Indicators... loading....

Abstract

See full text

A rice cooker assembly uses machine learning models to identify and classify content in grain mixtures thereby to provide better automation of the cooking process. As one example, a rice cooker has a chamber storing grains. A camera is positioned to view an interior of the chamber. The camera captures images of the contents of the chamber. From the images, the machine learning model determines whether the contents of the chamber includes one type or multiple types of grain or whether the contents of the chamber includes any inedible objects. The machine learning model further classifies the one or more types of grains and inedible objects if any. The cooking process may be controlled accordingly. The machine learning model may be resident in the rice cooker or it may be accessed via a network.

Loading the Abstract Image... loading....

First Claim

See full text

Family

Loading Family data... loading....

Patent Owner(s)

  • Owner owned or assignment not recorded

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Li, Xiaochun San Ramon, US 38 231
Wang, Dongyan San Jose, US 42 1436
Zhou, Junyang Shenzhen, CN 10 9
Zhu, Linnan Shenzhen, CN 1 0

Cited Art Landscape

Load Citation

Patent Citation Ranking

Forward Cite Landscape

Load Citation