公开(公告)号：US20210148034A1

公开(公告)日：2021-05-20

申请号：US16803597

申请日：2020-02-27

Applicant: LG ELECTRONICS INC.

Inventor： Yun Sik PARK ,  Dayun HAN ,  Sung Mok HWANG

IPC: D06F34/18 ,  D06F33/54 ,  D06F34/20 ,  D06F33/57 ,  H04N5/225 ,  G06K9/00 ,  G06K9/46 ,  G06K9/62 ,  G06T7/62 ,  G06N3/08 ,  G05B19/042

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.

公开(公告)号：US20190284743A1

公开(公告)日：2019-09-19

申请号：US16354691

申请日：2019-03-15

Applicant: LG ELECTRONICS INC.

Inventor： Sung Mok HWANG ,  Sang Yun KIM ,  Yun Sik PARK

IPC: D06F33/02 ,  D06F39/00 ,  D06F39/08 ,  D06F37/30 ,  G05B13/02 ,  G06N3/04

Abstract: A washing machine and at least one server that set functions of the washing machine based on object sensing using artificial intelligence, and a setting method thereof. The washing machine that sets functions based on object sensing produces information on setting of a wash course adequate for laundry on the basis of the height, image, and weight of the laundry, physical information or electrical information generated during a wash or receives the information from the at least one server and operates.

公开(公告)号：US20220254344A1

公开(公告)日：2022-08-11

申请号：US17613420

申请日：2019-05-24

Applicant: LG Electronics Inc.

Inventor： Yun Sik PARK ,  Sung Mok HWANG

IPC: G10L15/22 ,  G10L15/30 ,  G10L15/32 ,  G10L17/22

Abstract: The present disclosure relates to a method for controlling a device by using voice recognition, and a device implementing the same, and a device for controlling another device by using voice recognition in one embodiment includes a controller which analyzes a voice instruction input to a voice input unit, identifies a second voice recognition device which is to perform the instruction, and generates a control message to be transmitted to the second voice recognition device.

公开(公告)号：US20210381717A1

公开(公告)日：2021-12-09

申请号：US16490016

申请日：2019-05-02

Applicant: LG ELECTRONICS INC.

Inventor： Sung Mok HWANG ,  Sang Yun KIM ,  Jin Ok KIM ,  Yun Sik PARK ,  Dayun HAN

IPC: F24F11/77 ,  F24F11/63 ,  G06K9/00

Abstract: Disclosed herein are a method of controlling operations of an air conditioner by analyzing a user's behavior pattern, and an air conditioner, the present disclosure according to an embodiment includes an air blower configured to discharge air, a camera configured to acquire images of a space in which an indoor unit of the air conditioner is disposed, and a control unit configured to extract features from the image acquired by the camera, to generate image descriptions, and to control the air conditioner using parameters generated in response to the image descriptions.

公开(公告)号：US20200018540A1

公开(公告)日：2020-01-16

申请号：US16494185

申请日：2018-03-14

Applicant: LG Electronics Inc.

Inventor： Sung Mok HWANG ,  Young Tag KWON ,  Jin-Hoon JUNG

IPC: F25D29/00 ,  G06N20/00 ,  G06N5/04 ,  G05B13/02

Abstract: Disclosed herein is a method for generating schedule data based on action data, and a server and a refrigerator implementing the same. The method for generating schedule data based on action data according to an embodiment of the present invention includes, in a refrigerator including one or more divided storage spaces, a step of a storage unit of the refrigerator storing pattern base data including action data performed by the refrigerator and time data, a step of a communication unit of the refrigerator receiving a first learning data set from a server, a step of a schedule generation unit of the refrigerator generating first schedule data including predicted action data of the refrigerator and time data of the predicted action data by mapping a first learning data set to the pattern base data, and a step of a control unit of the refrigerator controlling an action of the refrigerator based on the first schedule data.