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公开(公告)号:US20190087668A1
公开(公告)日:2019-03-21
申请号:US16134501
申请日:2018-09-18
Applicant: Samsung Electronics Co., Ltd.
Inventor: Woomok KIM , Unkyu PARK , Hyunmi CHOI
IPC: G06K9/00 , G08G1/0967
Abstract: An artificial intelligence (AI) system which utilizes a machine learning algorithm such as deep learning, a method therefor and an application therefor are provided. The method includes controlling an electronic device provided in a vehicle of the disclosure includes obtaining region information of a region located on a periphery of a path of the vehicle, obtaining an image by photographing a road on which the vehicle travels, through a camera, obtaining road information regarding the road on which the vehicle travels, by analyzing the obtained image, obtaining information regarding a virtual danger object which is likely to appear on the road on which the vehicle travels, based on the road information and the region information, and providing the information regarding the virtual danger object.
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公开(公告)号:US20200285248A1
公开(公告)日:2020-09-10
申请号:US16807947
申请日:2020-03-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Woomok KIM , Hyunmi CHOI , Dongshin SONG
Abstract: Disclosed is an electronic apparatus. The electronic apparatus includes: a camera; a memory configured to store attribute information and environment information; and a processor configured to identify a plurality of objects based on an image obtained by the camera, identify a first context of a first object, from among the plurality of objects, based on a relationship between attribute information of the plurality of objects and the environment information, and control a traveling state of the electronic apparatus based on the first context.
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公开(公告)号:US20240058964A1
公开(公告)日:2024-02-22
申请号:US18236193
申请日:2023-08-21
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Hyunmi CHOI , Woomok KIM , Jooyoung KIM , Sangyoung HWANG , Dongshin SONG
CPC classification number: B25J9/1674 , B25J9/0006 , B25J9/163 , B25J9/161
Abstract: An electronic apparatus includes a communication interface and at least one processor configured to obtain safety template information. The at least one processor may, based on sensing data being received from a user device, identify the type of the context information corresponding to the at least one sensing data, identify the information about the dangerous situations based on the safety template information and the type of the context information, identify whether a surrounding environment of a wearable robot corresponds to a dangerous situation based on the at least one sensing data; based on identifying that the surrounding environment of the wearable robot corresponds to the dangerous situation, obtain the control information mapped to each dangerous situation based on the safety template information, and control at least one of the wearable robot or the at least one user device based on the obtained control information.
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公开(公告)号:US20230285807A1
公开(公告)日:2023-09-14
申请号:US18196724
申请日:2023-05-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Hyunmi CHOI , Jungmi PARK
CPC classification number: A63B24/0075 , G06V40/10 , G06V40/23 , G06V20/50 , G16H20/30 , A63B71/0622 , A63B2214/00 , A63B2230/625 , A63B2024/0009 , A63B2024/0068 , A63B2220/807
Abstract: An electronic apparatus is provided. The electronic apparatus may include a display; a camera; a memory in which reference information associated with a content that provides information is stored; and a processor may be configured to obtain an image photographing a user through the camera while the content is provided through the display; obtain context information associated with the user based on the image; identify an execution status of the user associated with the information provided by the content by comparing the obtained context information and the reference information; and control an output state of the content based on the execution status of the user.
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公开(公告)号:US20240094309A1
公开(公告)日:2024-03-21
申请号:US18519651
申请日:2023-11-27
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Sangyoung HWANG , Woomok KIM , Jooyoung KIM , Boseok MOON , Dongshin SONG , Hyunmi CHOI
CPC classification number: G01R31/56 , G05D1/0212 , G05D2201/0207
Abstract: Provided is a diagnostic robot including: a communication interface; and at least one processor configured to: control the communication interface to search for at least one candidate electronic device, select a target electronic device from among the at least one candidate electronic device, and identify a component of the target electronic device on which to perform a fault diagnosis, control the communication interface to transmit information associated with a diagnosis range to the target electronic device, obtain first diagnostic data by performing a first fault diagnosis on a component of the diagnostic robot, control the communication interface to receive, from the target electronic device, second diagnostic data generated from a second fault diagnosis performed on the component of the target electronic device while the target electronic device is positioned at a diagnosis area within the diagnosis range, and identify whether there is an abnormality in the component of the target electronic device based on the first diagnostic data and the second diagnostic data.
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公开(公告)号:US20210008723A1
公开(公告)日:2021-01-14
申请号:US17040211
申请日:2019-04-02
Applicant: Samsung Electronics Co., Ltd.
Inventor: Hyunmi CHOI , Heeju JOO
Abstract: Provided are an artificial intelligence (AI) system utilizing a machine learning algorithm such as deep learning and an application thereof. A method of providing, by a mobile robot device including an arm device, a service to a user includes obtaining sensing information obtained by sensing a surrounding environment of the mobile robot device while the mobile robot device is traveling, changing, based on the sensing information which has been obtained by sensing, a safety operation level of the mobile robot device, and controlling, based on the changed safety operation level, an operation of the mobile robot device, wherein the safety operation level is a level for controlling an operation related to a movement of the mobile robot device and a motion of the arm device, and the mobile robot device changes the safety operation level by applying the obtained sensed information to a training model trained using an artificial intelligence algorithm.
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