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公开(公告)号:US20210405148A1
公开(公告)日:2021-12-30
申请号:US16605430
申请日:2019-06-14
Applicant: LG Electronics Inc.
Inventor: Jongwoo HAN , Hyoeun KIM
Abstract: An embodiment of the present invention provides an AI apparatus 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 apparatus, calculate a distance and a variation of the distance from each of the plurality of external AI apparatus to the user based on the obtained 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.
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公开(公告)号:US20250049259A1
公开(公告)日:2025-02-13
申请号:US18643080
申请日:2024-04-23
Applicant: LG ELECTRONICS INC.
Inventor: Jaehong KIM , Jiwook JUNG , Hyoeun KIM , Yeonjee JUNG , Hyoungho JUNG , Hyejeong JEON
IPC: A47J36/32 , A23L5/10 , A47J27/00 , G06F40/279 , G06V10/70 , G06V10/74 , G06V10/86 , G06V20/50 , G06V20/68
Abstract: A cooking device according to an embodiment of the present disclosure can comprise: a cooking chamber; a heating unit configured to heat the cooking chamber; a camera configured to photograph a food located inside the cooking chamber; a user input unit configured to receive a user input; and a processor configured to: identify a type of the food from a food image photographed by the camera, obtain visual attribute information indicating a cooking state of the food from the user input, and control the heating unit to cook the food based on cooking information matched to the type of food and the visual attribute information.
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公开(公告)号:US20210150307A1
公开(公告)日:2021-05-20
申请号:US16730652
申请日:2019-12-30
Applicant: LG ELECTRONICS INC.
Inventor: Hyoeun KIM , Jaehong KIM
Abstract: An artificial intelligence (AI) device may acquire user information, use information of a home appliance and weather information, acquire whether use of the home appliance is recommended and a recommended use time of the home appliance from the user information, the use information of the home appliance and the weather information, using an appliance use recommendation model, and output a recommendation comment indicating information on use of the home appliance based on the recommended use time.
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4.
公开(公告)号:US20200012289A1
公开(公告)日:2020-01-09
申请号:US16575628
申请日:2019-09-19
Applicant: LG ELECTRONICS INC.
Inventor: Jaehong KIM , Hyoeun KIM , Heeyeon CHOI
Abstract: A robot cleaner for performing cleaning using artificial intelligence includes a suction unit configured to suction dust, a driving unit to drive the robot cleaner, a memory configured to store a compensation model for inferring optimal suction output and driving output for cleaning environment information for learning, and a processor configured to acquire cleaning environment information, determine a suction output value and a driving speed of the robot cleaner from the acquired cleaning environment information using the compensation model, control the suction unit to suction the dust with the determined suction output value, and control the driving unit to drive the robot cleaner at the determined driving speed.
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公开(公告)号:US20190385614A1
公开(公告)日:2019-12-19
申请号:US16557377
申请日:2019-08-30
Applicant: LG ELECTRONICS INC.
Inventor: Jaehong KIM , Hyoeun KIM , Hangil JEONG
Abstract: Embodiments provide an artificial intelligence apparatus for recognizing an utterance voice of a user. The artificial intelligence apparatus includes: a communication unit configured to communicate with at least one external artificial intelligence apparatus which obtains first sound data including the utterance voice of the user to generate a first speech recognition result from the first sound data; a microphone configured to obtain second sound data including the utterance voice; and a processor configured to receive first speech recognition results from each of the at least one external artificial intelligence apparatus, generate a second speech recognition result from the second sound data, generate a final speech recognition result for the utterance voice by using the first speech recognition results and the second speech recognition result, and perform a control corresponding to the final speech recognition result.
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公开(公告)号:US20240169261A1
公开(公告)日:2024-05-23
申请号:US18207520
申请日:2023-06-08
Applicant: LG ELECTRONICS INC.
Inventor: Hyoeun KIM , Kamin LEE , Yeonjee JUNG , Hyejeong JEON , Arin MINASIAN
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: A computer-implemented method includes obtaining a labeled data set of images including data from a rehearsal memory and new input data, augmenting the labeled data set to generate a first data set and a second data set, wherein each image of the first data set corresponds to a corresponding image of the second data set, inputting the first data set into a query encoder and inputting the second data set into a momentum encoder to obtain encodings output by the query encoder and the momentum encoder, obtaining a contrastive loss based on the encodings using a sum of a first contrastive loss function and a second contrastive loss function, updating parameters of the query encoder based on the obtained contrastive loss, and updating parameters of the momentum encoder based on parameters of the query encoder.
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7.
公开(公告)号:US20210407503A1
公开(公告)日:2021-12-30
申请号:US16490020
申请日:2019-05-16
Applicant: LG ELECTRONICS INC.
Inventor: Jaehong KIM , Hyoeun KIM , Hangil JEONG , Heeyeon CHOI
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.
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公开(公告)号:US20200208320A1
公开(公告)日:2020-07-02
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
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.
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公开(公告)号:US20240328709A1
公开(公告)日:2024-10-03
申请号:US18578046
申请日:2021-07-27
Applicant: LG ELECTRONICS INC.
Inventor: Jaehong KIM , Kamin LEE , Hangil JEONG , Hyoeun KIM , Heeyeon CHOI , Hyejeong JEON
IPC: F25D29/00 , G06Q10/0875
CPC classification number: F25D29/00 , G06Q10/0875 , F25D2500/06 , F25D2700/06
Abstract: Discussed herein is a method of managing product reception/release data of a refrigerator including obtaining internal image data of the refrigerator using a camera provided in the refrigerator, extracting high-reliability data from the internal image data of the refrigerator, updating product reception/release data based on the high-reliability data, and creating a user database based on the updated product reception/release data.
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10.
公开(公告)号:US20230140893A1
公开(公告)日:2023-05-11
申请号:US18045448
申请日:2022-10-10
Applicant: LG ELECTRONICS INC.
Inventor: Hyoeun KIM , Kamin LEE , Seungah CHAE , Heeyeon CHOI , Yeonjee JUNG , Hyejeong JEON
IPC: G06V10/764 , G06T3/40 , G06T9/00
CPC classification number: G06V10/764 , G06T3/40 , G06T9/00
Abstract: The present disclosure relates to an artificial intelligence apparatus capable of classifying and detecting an item of an unseen class having high visual similarity to an item of a seen class that has been learned and known in advance, and a method for detecting an unseen class items thereof, and when the item image is input, generate encoded data by encoding the item image, generate decoded data by decoding the encoded data using a codebook of a plurality of codebooks in which encoded data for each item class is stored, corresponding to a pre-learned item class, and detect the unknown item by classifying the class of the item image based on the generated decoded data.
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