公开(公告)号：US20210011477A1

公开(公告)日：2021-01-14

申请号：US16924482

申请日：2020-07-09

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Dongnam BYUN ,  Hyewon KIM ,  Haedong YEO

IPC: G05D1/00 ,  G05D1/02 ,  G06K9/62 ,  G06K9/00

Abstract: Provided is an electronic apparatus, including: a sensor; a camera; a storage configured to store first and second artificial intelligence models; a first processor; and a second processor. The second processor is configured to: input an image obtained through the camera to the first artificial intelligence model and identify the object of the first type in the image, and input the image obtained through the camera to the second artificial intelligence model and identify the object of the second type, at least a part of which is not viewable in the image. The first processor is configured to: determine a distance between the object of the first type and the object of the second type based on sensing data received from the sensor; and control the electronic apparatus to travel based on the determined distance.

公开(公告)号：US20240345680A1

公开(公告)日：2024-10-17

申请号：US18406567

申请日：2024-01-08

Applicant: Samsung Electronics Co., Ltd.

Inventor： Bongjun KO ,  Sanghun KWAK ,  Dongnam BYUN ,  Jongmin WI ,  Hoondo HEO ,  Jinyoung HWANG

IPC: G06F3/041 ,  G06N3/0464 ,  G06N3/08

CPC classification number: G06F3/0418 ,  G06N3/0464 ,  G06N3/08 ,  G06F3/0443 ,  G06F3/0446 ,  G06F2203/04102

Abstract: An electronic device is provided. The electronic device includes a display, a touch sensor disposed in the display and including a plurality of lines and a plurality of nodes formed by the plurality of lines, a memory storing instructions, and a processor. The instructions, when being executed by the processor, cause the electronic device to obtain a plurality of node values from each of the plurality of nodes, change the touch sensitivity of the touch sensor from a first touch sensitivity to a second touch sensitivity lower than the first touch sensitivity based on identifying a pattern by the plurality of node values, identify whether to recognize contact on the touch sensor as a touch input through the plurality of line values obtained from each of the plurality of lines based on identifying changes of the pattern by the plurality of node values.

公开(公告)号：US20240119666A1

公开(公告)日：2024-04-11

申请号：US18454402

申请日：2023-08-23

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jaewook SHIN ,  Dongchan KIM ,  Dongnam BYUN ,  Jinyoung HWANG

IPC: G06T17/00 ,  G06T7/50 ,  G06T7/70 ,  G06T19/20 ,  G06V10/764

CPC classification number: G06T17/00 ,  G06T7/50 ,  G06T7/70 ,  G06T19/20 ,  G06V10/764 ,  G06T2219/2004 ,  G06T2219/2016 ,  G06T2219/2021

Abstract: A method of generating a three-dimensional (3D) model and a device for generating a 3D model are provided. The method includes generating a base 3D model of an object, determining a first target 3D model similar to the base 3D model from a 3D model database storing a plurality of 3D models, generating a first synthesized 3D model, determining a first similarity between the first synthesized 3D model and the at least one object image, determining a component having a low similarity between the first synthesized 3D model and the at least one object image, determining, as a second target 3D model, a 3D model having a high similarity to the first synthesized 3D model with respect to the component having the low similarity, from the 3D model database, and generating a second synthesized 3D model.

公开(公告)号：US20230359541A1

公开(公告)日：2023-11-09

申请号：US18224868

申请日：2023-07-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Dongnam BYUN ,  Dongchan KIM ,  Jinyoung HWANG

IPC: G06F11/34 ,  G06F11/30

CPC classification number: G06F11/3438 ,  G06F11/3041

Abstract: A method of identifying, in an electronic device, a force associated with a touch input of a user is provided. The method includes receiving at least one touch input from the user; obtaining first feature information for the at least one touch input; obtaining a plurality of force touch models configured to identify force touch; obtaining second feature information for at least one touch input included in training data used to train the plurality of force touch models; determining, from among the plurality of force touch models, a force touch model based on a similarity between the second feature information and the first feature information; and identifying, based on the determined force touch model, a force touch for the at least one touch input of the user.

公开(公告)号：US20230359348A1

公开(公告)日：2023-11-09

申请号：US18221288

申请日：2023-07-12

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jinyoung HWANG ,  Dongchan KIM ,  Dongnam BYUN

IPC: G06F3/04883 ,  G06F3/041

CPC classification number: G06F3/04883 ,  G06F3/0414

Abstract: Provided is an electronic device configured to perform an operation corresponding to a user input by using an artificial intelligence model, and a method performed by the electronic device, of performing the operation. The method comprises obtaining touch data related to a touch input of a user, identifying a first training data set similar to the touch data from a plurality of pre-stored training data sets, training an artificial intelligence model based on the first training data set, identifying a type of a user input that is input to the electronic device, based on the trained artificial intelligence model, and performing an operation corresponding to the identified type of the user input.

公开(公告)号：US20230085127A1

公开(公告)日：2023-03-16

申请号：US17992659

申请日：2022-11-22

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Dongnam BYUN ,  Jinyoung HWANG

IPC: G06V10/778 ,  G06V10/82 ,  G06V10/762 ,  G06V10/764 ,  G06V10/77 ,  G06N3/045

Abstract: An electronic device is provide, the electronic device including: a communication interface including at least one circuit; a memory including at least one instruction; and a processor. The processor is configured to: obtain a plurality of images, wherein the plurality of images include an one or more objects; obtain, by inputting the plurality of photographed images into a first neural network model for identifying objects: a feature value for each object of the one or more objects, a predicted class for each object of the one or more objects based on the respective obtained feature values, and a probability value for the predicted class for each of the one or more objects; identify an one or more learning images among the plurality of images based on the obtained probability values; identify one or more clusters of feature values by mapping the feature values of the one or more objects included in the one or more identified learning images to a vector space; obtain a learning data from the one or more identified learning images based on the obtained feature values; transmit the obtained learning data to an external device through the communication interface; receive an information on a second neural network model from the external device, and update the first neural network model based on the received information on the second neural network model.