公开(公告)号：US11546504B2

公开(公告)日：2023-01-03

申请号：US16688823

申请日：2019-11-19

Applicant: LG ELECTRONICS INC.

Inventor： Young Han Kim ,  Sang Hyun Lee ,  Sang Hyun Jung

IPC: H04N5/232 ,  G06N20/00 ,  G06V40/16

Abstract: A method for utilizing human recognition and a method utilizing the same are provided. The method for utilizing human recognition includes updating a moving image database to include information about a moving image in which a cluster subject appears, the information being extracted based on clustering using a face feature; receiving a search condition; and detecting moving image information using the database. According to the present disclosure, a skeleton can be analyzed and a face can be recognized using an artificial intelligence (AI) model performing deep learning through a fifth generation (5G) network, and using the analysis result, a photographing composition can be determined, and moving image information can be constructed at an edge.

公开(公告)号：US11492742B2

公开(公告)日：2022-11-08

申请号：US16653227

申请日：2019-10-15

Applicant: LG ELECTRONICS INC.

Inventor： Seung Chul Cha ,  Bon Kwon Koo ,  Hyun Ji Park ,  Sang Hyun Lee

IPC: D06F33/37 ,  D06F34/24 ,  D06F34/18 ,  D06F34/22

Abstract: Disclosed are a washer for adjusting an amount of detergent and a method of driving the same, which controls an automatic detergent dispenser to decide the amount of detergent on an amount of contamination of laundry by using artificial intelligence or machine learning, and to input the determined amount of detergent to washing water.

公开(公告)号：US11459688B2

公开(公告)日：2022-10-04

申请号：US16582607

申请日：2019-09-25

Applicant: LG Electronics Inc.

Inventor： Seung Chui Cha ,  Bon Kwon Koo ,  Hyun Ji Park ,  Sang Hyun Lee

IPC: D06F34/22 ,  D06F39/12 ,  D06F34/14 ,  D06F33/43 ,  D06F21/06 ,  D06F103/16 ,  D06F103/20 ,  D06F103/22 ,  D06F105/02 ,  D06F105/52 ,  D06F105/54 ,  D06F105/58 ,  D06F105/60 ,  D06F34/05 ,  D06F34/10

Abstract: Disclosed is a washing system capable of detecting a level of contamination of a laundry tub by executing a big data, an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for things Internet. The washing system capable of detecting a level of contamination of a laundry tub according to one embodiment of the present disclosure includes a composite sensor for detecting a level of contamination of a laundry tub, a washing machine controller that receives a digital signal from the composite sensor to determine a level of contamination of the laundry tub, and a server communicating with the washing machine. The washing machine controller or the server learns AI model with the training data set through a machine learning algorithm in order to predict a progressing degree of contamination of the laundry tub.

公开(公告)号：US20210189627A1

公开(公告)日：2021-06-24

申请号：US16850539

申请日：2020-04-16

Applicant: LG ELECTRONICS INC.

Inventor： Seung Chul Cha ,  Sang Hyun Lee ,  Hyunji Park ,  Bonkwon Koo

IPC: D06F34/22 ,  D06F33/34 ,  D06F33/37 ,  G06N3/08

Abstract: Provided are a washing apparatus that is capable of being operated in an Internet of Things (IoT) environment over a 5G communication network and estimating additional laundry that is introduced and the amount of detergent that is additionally introduced based thereon through a neural network model generated based on machine learning, and a method of controlling the same.

公开(公告)号：US20190390392A1

公开(公告)日：2019-12-26

申请号：US16561963

申请日：2019-09-05

Applicant: LG ELECTRONICS INC.

Inventor： Sang Hyun Lee ,  Bon Kwon Koo ,  Hyun Ji Park ,  Seung Chul Cha

IPC: D06F39/00

Abstract: A laundry processing apparatus and a driving method thereof for driving a laundry processing apparatus by executing an artificial intelligence (AI) algorithm and/or machine learning algorithm in a 5G environment connected for the Internet of Things are provided. The driving method may include obtaining a drive current of a motor and a rotational speed of a drum during a cycle of the laundry processing apparatus, classifying a type of load of laundry located inside the laundry processing apparatus based on the obtained drive current and rotational speed, determining whether to change a course of the laundry processing apparatus according to the type of load, outputting a recommended course corresponding to the type of load when a course change of the laundry processing apparatus is determined, and changing the cycle of the laundry processing apparatus to the recommended course upon receiving a selection signal for the recommended course.