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. 04, 2023

Filed:

Aug. 30, 2019
Applicant:

Lg Electronics Inc., Seoul, KR;

Inventors:

Myunghun Im, Seoul, KR;

Hwanjin Jung, Seoul, KR;

Seonhwa Yu, Seoul, KR;

Sunggyun Kim, Seoul, KR;

Kyungchul Woo, Seoul, KR;

Jaehyun Kim, Seoul, KR;

Assignee:

LG Electronics Inc., Seoul, KR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); D06F 33/32 (2020.01); D06F 34/18 (2020.01); D06F 103/02 (2020.01); D06F 103/46 (2020.01); D06F 105/46 (2020.01); D06F 105/48 (2020.01);
U.S. Cl.
CPC ...
D06F 33/32 (2020.02); G06N 3/08 (2013.01); D06F 34/18 (2020.02); D06F 2103/02 (2020.02); D06F 2103/46 (2020.02); D06F 2105/46 (2020.02); D06F 2105/48 (2020.02);
Abstract

Disclosed is an artificial intelligence laundry treatment apparatus including a washing tub configured to receive laundry, the washing tub being configured to be rotatable, a motor configured to rotate the washing tub, a controller configured to control the motor such that the washing tub is accelerated to a predetermined target speed at an acceleration gradient of 1.5 to 2.5 rpm/s within a range within which the laundry moves in the washing tub, and a current sensing unit configured to sense current of the motor, wherein the controller is configured to obtain at least one of laundry weight or laundry quality from output of an output layer of an artificial neural network pre-trained based on machine learning using a current value sensed by the current sensing unit during accelerated rotation of the washing tub as input of an input layer of the artificial neural network.


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