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:
Apr. 25, 2023

Filed:

Feb. 27, 2020
Applicant:

Lg Electronics Inc., Seoul, KR;

Inventors:

Yun Sik Park, Seoul, KR;

Dayun Han, Seoul, KR;

Sung Mok Hwang, Seoul, KR;

Assignee:

LG ELECTRONICS INC., Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
D06F 34/18 (2020.01); D06F 34/20 (2020.01); D06F 33/57 (2020.01); D06F 33/54 (2020.01); D06F 33/52 (2020.01); D06F 33/34 (2020.01); D06F 33/37 (2020.01); D06F 103/04 (2020.01); D06F 105/02 (2020.01); D06F 103/40 (2020.01); G06T 7/62 (2017.01); G06N 3/08 (2023.01); G05B 19/042 (2006.01); G06V 20/00 (2022.01); G06F 18/214 (2023.01); H04N 23/54 (2023.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/20 (2022.01); G06V 20/52 (2022.01); D06F 105/42 (2020.01); A47L 15/42 (2006.01); D06F 58/34 (2020.01);
U.S. Cl.
CPC ...
D06F 34/18 (2020.02); D06F 33/34 (2020.02); D06F 33/37 (2020.02); D06F 33/52 (2020.02); D06F 33/54 (2020.02); D06F 33/57 (2020.02); D06F 34/20 (2020.02); G05B 19/042 (2013.01); G06F 18/214 (2023.01); G06N 3/08 (2013.01); G06T 7/62 (2017.01); G06V 10/255 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 20/00 (2022.01); G06V 20/52 (2022.01); H04N 23/54 (2023.01); A47L 15/4295 (2013.01); D06F 58/34 (2020.02); D06F 2103/04 (2020.02); D06F 2103/40 (2020.02); D06F 2105/02 (2020.02); D06F 2105/42 (2020.02); G05B 2219/23238 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A home appliance and a control method for the home appliance, which is operable in an IoT environment through a 5G communication network and uses a neural network model generated according to machine learning is provided. The home appliance may include a home appliance main body; a container mounted within the home appliance main body to accommodate a treatment target; a camera arranged to photograph the inside of the container; and one or more processors configured to control an operation of the home appliance, wherein the processor is configured to determine an amount of a treatment target based on feature shapes of the container identified in an image of the inside of the container photographed by the camera.


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