公开(公告)号：US11867791B2

公开(公告)日：2024-01-09

申请号：US16605429

申请日：2019-06-14

Applicant: LG Electronics Inc.

Inventor： Jongwoo Han ,  Hyoeun Kim ,  Taeho Lee

IPC: G01S5/30 ,  G01S11/14 ,  G05D1/02 ,  G06F3/16 ,  G06N3/08

CPC classification number: G01S11/14 ,  G01S5/30 ,  G05D1/0219 ,  G05D1/0221 ,  G06F3/165 ,  G06N3/08

Abstract: An embodiment of the present invention provides, comprising: a communication unit configured to communicate with a plurality of external AI apparatuses; and a processor configured to receive sound signals of the user from the plurality of external AI apparatuses, calculate a distance and a variation of the distance from each of the plurality of external AI apparatuses to the user based on the received sound signals, determine a current path of the user based on the calculated distance and the calculated variation of the distance, and determine a future path of the user based on the current path.

公开(公告)号：US11384464B2

公开(公告)日：2022-07-12

申请号：US16600311

申请日：2019-10-11

Applicant: LG ELECTRONICS INC.

Inventor： Jaehong Kim ,  Hyoeun Kim ,  Taeho Lee ,  Hangil Jeong ,  Jongwoo Han

IPC: D06F33/00 ,  D06F34/28 ,  D06F101/00

Abstract: Disclosed herein is a washing machine including a first data acquirer configured to collect data related to a laundry pattern of a user, a second data acquirer configured to collect data related to context information, and a processor configured to provide the laundry pattern of the user and the context information to a reinforcement learning model as an environment and to train the reinforcement learning model using feedback of the user on a recommended laundry course when the reinforcement learning model recommends the laundry course.

公开(公告)号：US12046030B2

公开(公告)日：2024-07-23

申请号：US17348532

申请日：2021-06-15

Applicant: LG ELECTRONICS INC.

Inventor： Jaehong Kim ,  Hangil Jeong ,  Hyoeun Kim ,  Heeyeon Choi ,  Kamin Lee ,  Hyejeong Jeon

IPC: G06V20/00 ,  G06F3/14 ,  G06F16/245 ,  G06F18/214 ,  G06F18/22 ,  G06N3/04 ,  G06N3/08 ,  H04N7/18 ,  G06V20/68

CPC classification number: G06V20/00 ,  G06F3/14 ,  G06F16/245 ,  G06F18/214 ,  G06F18/22 ,  G06N3/04 ,  G06N3/08 ,  H04N7/188 ,  G06V20/68

Abstract: According to an embodiment of the present disclosure, a refrigerator may include a storage compartment, an outer door, one or more cameras provided in the outer door, a global DB configured to store a plurality of default food identification items and a plurality of default product names respectively corresponding to the plurality of default food identification items, and a local DB configured to store edited product names and a food identification item corresponding to the edited product names, and a processor configured to photograph an internal image of the storage compartment through the one or more cameras, obtain a food identification item from the photographed internal image, determine whether the obtained food identification item is stored in the local DB, and when the food identification item is not stored in the local DB, determine whether the obtained food identification item is stored in the global DB.

公开(公告)号：US11668485B2

公开(公告)日：2023-06-06

申请号：US16597364

申请日：2019-10-09

Applicant: LG Electronics Inc.

Inventor： Jaehong Kim ,  Hyoeun Kim ,  Hyejeong Jeon

IPC: F24F11/49 ,  F24F11/56 ,  F24F11/64 ,  F24F11/80 ,  G05B13/04 ,  G05B13/02 ,  F24F110/10 ,  F24F110/12 ,  F24F110/20 ,  F24F110/50 ,  F24F140/00

CPC classification number: F24F11/49 ,  F24F11/56 ,  F24F11/64 ,  F24F11/80 ,  G05B13/027 ,  G05B13/041 ,  F24F2110/10 ,  F24F2110/12 ,  F24F2110/20 ,  F24F2110/50 ,  F24F2140/00 ,  F24F2221/00

Abstract: Provided is an artificial intelligence air conditioner for calibrating sensor data. The artificial intelligence air conditioner includes a sensor unit configured to acquire sensor data; a communication unit configured to receive at least one of external sensor data or environment information from at least one of an external air conditioner or an internet of things (IoT) device; and a processor. The processor is configured to generate estimated sensor data corresponding to the sensor unit using a sensor data estimation model, the received external sensor data and the received environment information, determine whether the acquired sensor data is abnormal using the generated estimated sensor data, perform an air conditioning function using the acquired sensor data if the acquired sensor data is determined as normal, and perform the air conditioning function using the generated estimated sensor data if the acquired sensor data is determined as abnormal.

公开(公告)号：US11593588B2

公开(公告)日：2023-02-28

申请号：US16593928

申请日：2019-10-04

Applicant: LG Electronics Inc.

Inventor： Jaehong Kim ,  Hyoeun Kim ,  Hyejeong Jeon ,  Heeyeon Choi

IPC: G06Q30/00 ,  G06K9/62 ,  G06N20/00 ,  G06N5/04 ,  G06N3/08

Abstract: An artificial intelligence apparatus for generating training data includes a memory configured to store a target artificial intelligence model, and a processor configured to receive sensor data, determine whether the received sensor data is irrelevant to a learning of the target artificial intelligence model, determine whether the received sensor data is useful for the learning if the received sensor data is determined to be relevant to the learning, extract a label from the received sensor data by using a label extractor if the received sensor data is determined to be useful for the learning, determine a confidence level of the extracted label, and generate training data including the received sensor data and the extracted label if the determined confidence level exceeds a first reference value.

公开(公告)号：US11525627B2

公开(公告)日：2022-12-13

申请号：US17352124

申请日：2021-06-18

Applicant: LG ELECTRONICS INC.

Inventor： Jaehong Kim ,  Heeyeon Choi ,  Hyunseok Shin ,  Yongsuk Lee ,  Soungmin Im ,  Kamin Lee ,  Hangil Jeong ,  Hyoeun Kim ,  Hyejeong Jeon

IPC: F25D29/00 ,  H04N7/18 ,  G06T7/73 ,  H04N5/247 ,  G06V20/00 ,  G06V20/68

Abstract: According to an embodiment of the present disclosure, a refrigerator may include a storage compartment, a door, one or more cameras provided in the door, a global DB configured to store a plurality of default food identification items and a plurality of default product names respectively corresponding to the plurality of default food identification items, and a local DB configured to store edited product names and a food identification item corresponding to the edited product names, and a processor configured to photograph an internal image of the storage compartment, obtain one or more food identification items from the photographed internal image, and if the obtained one or more food identification items are stored in the local DB, recognize one or more product names of the obtained one or more food identification items as product names of the food identification items stored in the local DB.

公开(公告)号：US11379756B2

公开(公告)日：2022-07-05

申请号：US16388712

申请日：2019-04-18

Applicant: LG ELECTRONICS INC.

Inventor： Jongwoo Han ,  Jaehong Kim ,  Hyoeun Kim ,  Taeho Lee ,  Hangil Jeong ,  Beomsuk Moon ,  Hyejeong Jeon ,  Yoojin Choi

IPC: G06N20/00 ,  D06F33/00 ,  H04L12/28 ,  G06N3/02 ,  G06N7/04

Abstract: Disclosed is a laundry scheduling apparatus. The apparatus includes a communication unit, an output unit, and a processor configured to pair with at least one washing machine via the communication unit, obtain laundry preference parameters of a user generated by learning based on at least one of a deep learning algorithm or a machine learning algorithm, using at least one of a laundry log of the user or laundry satisfaction information of the user as input data, generate laundry scheduling information by using washing machine information about the paired at least one washing machine, the laundry preference parameters, and laundry item information obtained via at least one of a user input unit, an interface unit, or a sensor, and cause the output unit to output the laundry scheduling information.

公开(公告)号：US11367438B2

公开(公告)日：2022-06-21

申请号：US16490020

申请日：2019-05-16

Applicant: LG ELECTRONICS INC.

Inventor： Jaehong Kim ,  Hyoeun Kim ,  Hangil Jeong ,  Heeyeon Choi

IPC: G10L15/22 ,  G06N3/08 ,  G10L15/26 ,  G10L25/30

Abstract: An embodiment of the present invention provides an artificial intelligence (AI) apparatus for recognizing a speech of a user, the artificial intelligence apparatus includes a memory to store a speech recognition model and a processor to obtain a speech signal for a user speech, to convert the speech signal into a text using the speech recognition model, to measure a confidence level for the conversion, to perform a control operation corresponding to the converted text if the measured confidence level is greater than or equal to a reference value, and to provide feedback for the conversion if the measured confidence level is less than the reference value.

公开(公告)号：US11298560B2

公开(公告)日：2022-04-12

申请号：US16539705

申请日：2019-08-13

Applicant: LG ELECTRONICS INC.

Inventor： Hyoeun Kim ,  Jaehong Kim ,  Hangil Jeong

IPC: A61N5/00 ,  A61N5/06 ,  G06T7/00 ,  A61B5/00

Abstract: A light output device for caring for a skin of a user using artificial intelligence includes a plurality of light sources configured to irradiate light, a memory configured to store a skin care model learned using a deep learning algorithm to infer a facial skin state of the user, a camera configured to capture an image of a face of the user, and a processor configured to acquire a skin state of each part of the face based on a first-type face image captured through the camera and the skin care model, and control light output of the plurality of light sources based on the acquired skin state.

公开(公告)号：US11578444B2

公开(公告)日：2023-02-14

申请号：US16526225

申请日：2019-07-30

Applicant: LG ELECTRONICS INC.

Inventor： Hyoeun Kim ,  Jaehong Kim ,  Taeho Lee ,  Hangil Jeong ,  Jongwoo Han

IPC: D06F33/00 ,  D06F35/00 ,  G05B13/02 ,  G06N3/04 ,  D06F103/16 ,  D06F101/06

Abstract: A laundry treatment device includes a washing module configured to perform operation related to washing, a camera configured to capture an image of a tag attached to a laundry, and a processor configured to acquire laundry information of a plurality of laundries, to convert the acquired laundry information into encoding data, and to acquire values of laundry control variables corresponding to the converted encoding data based on a laundry course learning model learned using a plurality of reference data through a deep learning algorithm.