公开(公告)号：US11966317B2

公开(公告)日：2024-04-23

申请号：US16768452

申请日：2018-12-26

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Yehoon Kim ,  Chanwon Seo ,  Sojung Yun ,  Junik Jang

IPC: G06F15/173 ,  G06F11/34 ,  G06N3/08

CPC classification number: G06F11/3438 ,  G06N3/08

Abstract: An electronic device and a method for controlling the same are disclosed. The method for controlling an electronic device according to the present disclosure comprises the steps of: detecting at least one user and acquiring user information of the detected at least one user; determining a user mode on the basis of the acquired user information; determining a service to be provided to the detected at least one user, by inputting the user information and the determined user mode as input data to a model learned by an artificial intelligence algorithm; and providing the determined service corresponding to the user mode. A method for providing the service by the electronic device may at least partially use an artificial intelligence model learned according to at least one of machine learning, neural network, and deep learning algorithms.

公开(公告)号：US11876925B2

公开(公告)日：2024-01-16

申请号：US17167652

申请日：2021-02-04

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sojung Yun ,  Yehoon Kim ,  Chanwon Seo

IPC: G06V10/778 ,  H04M1/72454 ,  G06F18/25 ,  G06F18/214 ,  G06F18/21 ,  H04M1/72463

CPC classification number: H04M1/72454 ,  G06F18/2148 ,  G06F18/2178 ,  G06F18/251 ,  G06V10/7788 ,  H04M1/72463

Abstract: An electronic device and a method for controlling the electronic device are provided. The method for controlling the electronic device includes, based on an occurrence of an event for outputting information being determined, obtaining data for determining a context corresponding to the electronic device, inputting the obtained data to a first model trained by an artificial intelligence algorithm and obtaining information about a person located in a vicinity of the electronic device, inputting the obtained information about the person and information about the event to a second model trained by an artificial intelligence algorithm and obtaining output information corresponding to the event, and providing the obtained output information.

公开(公告)号：US11719544B2

公开(公告)日：2023-08-08

申请号：US17493930

申请日：2021-10-05

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Eunseo Kim ,  Yehoon Kim ,  Chanwon Seo ,  Inhak Na ,  Myungjin Eom

IPC: G01C21/20 ,  G06V20/64 ,  G06V20/10 ,  G06V10/764 ,  G06V10/82

CPC classification number: G01C21/206 ,  G06V10/764 ,  G06V10/82 ,  G06V20/10 ,  G06V20/64

Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a sensor, a camera, a memory, a camera and a processor. The memory stores a plurality of artificial intelligence models trained to identify objects and stores information on a map. The first processor provides, to the second processor, area information on an area in which the electronic apparatus is determined, based on sensing data obtained from the sensor, to be located, from among a plurality of areas included in the map. The second processor loads at least one artificial intelligence model of the plurality of artificial intelligence models to the volatile memory based on the area information and identifies an object by inputting the image obtained through the camera to the loaded artificial intelligence model.

公开(公告)号：US12123723B2

公开(公告)日：2024-10-22

申请号：US18227345

申请日：2023-07-28

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Eunseo Kim ,  Yehoon Kim ,  Chanwon Seo ,  Inhak Na ,  Myungjin Eom

IPC: G01C21/20 ,  G06V10/764 ,  G06V10/82 ,  G06V20/10 ,  G06V20/64

CPC classification number: G01C21/206 ,  G06V10/764 ,  G06V10/82 ,  G06V20/10 ,  G06V20/64

Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a sensor, a camera, a memory, a camera and a processor. The memory stores a plurality of artificial intelligence models trained to identify objects and stores information on a map. The first processor provides, to the second processor, area information on an area in which the electronic apparatus is determined, based on sensing data obtained from the sensor, to be located, from among a plurality of areas included in the map. The second processor loads at least one artificial intelligence model of the plurality of artificial intelligence models to the volatile memory based on the area information and identifies an object by inputting the image obtained through the camera to the loaded artificial intelligence model.

公开(公告)号：US11650597B2

公开(公告)日：2023-05-16

申请号：US16922655

申请日：2020-07-07

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Daehyun Ban ,  Yongsung Kim ,  Chanju Park ,  Chanwon Seo ,  Hongpyo Lee

IPC: G05D1/02 ,  G05D1/00 ,  G06T3/00 ,  G06T7/73 ,  G06V20/10

CPC classification number: G05D1/0246 ,  G05D1/0088 ,  G06T3/0093 ,  G06T7/74 ,  G06V20/10 ,  G05D2201/0203 ,  G06T2207/20081

Abstract: An electronic apparatus is provided. The electronic apparatus includes: a sensor; a camera; a memory; and a processor configured to be connected to the sensor, the camera, and the memory. The memory includes an artificial intelligence model trained to identify at least one object. The processor is further configured to: detect an object based on sensing data received from the sensor; based on the detected object being identified as having a height less than a predetermined threshold value, warp an object region, including the detected object, in an image acquired through the camera based on distance information of the object region; and identify the detected object by inputting the warped object region into the artificial intelligence model.

公开(公告)号：US20220027600A1

公开(公告)日：2022-01-27

申请号：US17493930

申请日：2021-10-05

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Eunseo KIM ,  Yehoon Kim ,  Chanwon Seo ,  Inhak Na ,  Myungjin Eom

IPC: G06K9/00

Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a sensor, a camera, a memory, a camera and a processor. The memory stores a plurality of artificial intelligence models trained to identify objects and stores information on a map. The first processor provides, to the second processor, area information on an area in which the electronic apparatus is determined, based on sensing data obtained from the sensor, to be located, from among a plurality of areas included in the map. The second processor loads at least one artificial intelligence model of the plurality of artificial intelligence models to the volatile memory based on the area information and identifies an object by inputting the image obtained through the camera to the loaded artificial intelligence model.

公开(公告)号：US20250061600A1

公开(公告)日：2025-02-20

申请号：US18934906

申请日：2024-11-01

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jiman KIM ,  Yehoon Kim ,  Chanwon Seo

IPC: G06T7/70 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82

Abstract: An electronic device includes: one or more processors; and memory, storing: a first training data set including pieces of 2D pose data and pieces of 3D pose data; and instructions that, when executed by the one or more processors, cause the electronic device to: train a neural network model to estimate 3D poses based on the first training data set; obtain an augmented data set by augmenting the first training data set; based on at least one of similarity or reliability of 3D pose augmented data in the augmented data set; select at least one piece of 3D pose augmented data among pieces of 3D pose augmented data in the augmented data set; obtain a second training data set including the 3D pose augmented data and 2D pose augmented data corresponding to the 3D pose augmented data; and retrain the neural network model based on the second training data set.

公开(公告)号：US20240112477A1

公开(公告)日：2024-04-04

申请号：US18375236

申请日：2023-09-29

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Younguk KIM ,  Jongyeong Kim ,  Hyunhan Kim ,  Hyosang Kim ,  Chanwon Seo ,  Hyein Hyun

IPC: G06V20/62 ,  G06V30/18 ,  G06V30/19 ,  G06V30/30

CPC classification number: G06V20/62 ,  G06V30/18 ,  G06V30/191 ,  G06V30/30

Abstract: A method of processing an image by an electronic device, includes: obtaining a label image of a label including at least one symbol associated with handling of clothing item; obtaining, from the label image, text information associated with the handling of the clothing item; identifying, from the label image, the at least one symbol associated with the handling of the clothing item, based on the text information and the label image; and obtaining handling information related to the clothing item based on the identified at least one symbol.

公开(公告)号：US11822455B2

公开(公告)日：2023-11-21

申请号：US16768452

申请日：2018-12-26

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Yehoon Kim ,  Chanwon Seo ,  Sojung Yun ,  Junik Jang

IPC: G06F15/173 ,  G06F11/34 ,  G06N3/08

CPC classification number: G06F11/3438 ,  G06N3/08

Abstract: An electronic device and a method for controlling the same are disclosed. The method for controlling an electronic device according to the present disclosure comprises the steps of: detecting at least one user and acquiring user information of the detected at least one user; determining a user mode on the basis of the acquired user information; determining a service to be provided to the detected at least one user, by inputting the user information and the determined user mode as input data to a model learned by an artificial intelligence algorithm; and providing the determined service corresponding to the user mode. A method for providing the service by the electronic device may at least partially use an artificial intelligence model learned according to at least one of machine learning, neural network, and deep learning algorithms.

公开(公告)号：US20230206618A1

公开(公告)日：2023-06-29

申请号：US18111401

申请日：2023-02-17

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Eunseo KIM ,  Chanwon Seo ,  Youngeun Lee ,  Hongpyo Lee

IPC: G06V10/82 ,  G06V10/84 ,  G06V10/778

CPC classification number: G06V10/82 ,  G06V10/84 ,  G06V10/7788

Abstract: An electronic device includes: a processor; and a memory storing instructions. By executing the instructions, the processor is configured to: receive a first image, recognize a plurality of objects in the first image to generate object information representing the plurality of objects, generate an object relationship graph including relationships between the plurality of objects, based on the first image and the object information, obtain image effect data including image effects to be respectively applied to the plurality of objects by inputting the object relationship graph to an image modification Graph Neural Network (GNN) model, and generate a modified image based on the first image, the object information, and the image effect data.