Method of smart rice cookers capable of mixed grain cooking and abnormal conditions detection

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United States of America Patent

PATENT NO 11406121
APP PUB NO 20190274337A1
SERIAL NO

15760841

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Abstract

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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.

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Patent Owner(s)

Patent OwnerAddress
MIDEA GROUP CO LTDB26-28F MIDEA HEADQUARTERS BUILDING NO 6 MIDEA AVENUE BEIJIAO SHUNDE FOSHAN 528311

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Li, Xiaochun San Ramon, US 97 681
Wang, Dongyan San Jose, US 61 2521
Zhou, Junyang Shenzhen, CN 13 253
Zhu, Linnan Shenzhen, CN 3 15

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