Lg Electronics Inc.

Sung Mok Hwang

Yun Sik Park

Sang Yun Kim

Dayun Han

Jin Ok Kim

Jin-Hoon Jung

Young Tag Kwon

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.

Method of controlling operation of air conditioner by analyzing user's behavior pattern and air conditioner

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.

Home appliance and method for controlling home appliance

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.

Washing machine and cloud server setting function based on object sensing using artificial intelligence, and method for setting function

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.

Growing community of inventors

Seoul, South Korea

Sung Mok Hwang