-
公开(公告)号:US20210182545A1
公开(公告)日:2021-06-17
申请号:US16811723
申请日:2020-03-06
Applicant: LG ELECTRONICS INC.
Inventor: Yeon Kyung Chae , Dongwoo Han , Taeyup Song
Abstract: A method for controlling, by a controller, an electronic device is provided. The method may include: sensing, by a sensor, a first radiation signal incident on the sensor; generating, by the sensor, a first output signal based on the first radiation signal; recognizing a human body based on the first output signal; determining a position of the human body as being located in one of an indoor space or an outdoor space based on the first output signal; and generating a control signal for controlling the electronic device connected via a wired or wireless network based on the position of the human body. A learning model includes a deep neural network generated through machine learning and transmission of a control signal may be performed in an Internet of Things (IoT) environment using a 5G network.
-
公开(公告)号:US11421906B2
公开(公告)日:2022-08-23
申请号:US17058420
申请日:2019-05-17
Applicant: LG Electronics Inc.
Inventor: Dongwoo Han , Taeyup Song
Abstract: An air conditioner is controlled according to one or more zones determined by artificial intelligence. The air conditioner includes a controller for generating first space classification data for dividing a space into two or more blowing zones based on human body sensing data generated by a vision module and an image, and a communication unit for transmitting the human body sensing data to a server and receiving second space classification data from the server. The controller is configured to control operation of the air conditioner based on comparing the first space classification data to the second space classification data and dividing the space into a concentrated blowing zone and a non-concentrated blowing zone.
-
公开(公告)号:US20180209681A1
公开(公告)日:2018-07-26
申请号:US15845672
申请日:2017-12-18
Applicant: LG ELECTRONICS INC.
Inventor: Taeyup Song , Jaeyong Song , Dongwoo Han
CPC classification number: F24F11/65 , F24F11/54 , F24F11/56 , F24F11/64 , F24F11/74 , F24F11/77 , F24F11/79 , F24F2120/12 , G05B13/027 , G06K9/00362 , G06K9/00771
Abstract: An air conditioner may include a camera to obtain an image, an area recognition module for recognizing an area in which an occupant is located in an indoor space divided into a plurality of areas from the image obtained by the camera and distinguishing a living area with respect to the plurality of areas based on a result of recognizing a location of the occupant, and an airflow controller controlling airflow based on the distinguished living area, whereby airflow optimized for each living area of the indoor space may be controlled.
-
公开(公告)号:US11525202B2
公开(公告)日:2022-12-13
申请号:US16603815
申请日:2019-06-28
Applicant: LG ELECTRONICS INC.
Inventor: Jooseong Lee , Taeyup Song , Dayun Han
Abstract: Disclosed is an artificial intelligence (AI)-based self-control air conditioner. The AI-based self-control air conditioner includes a communication unit configured to receive an image including member data for identifying the member from an image acquisition apparatus corresponding to a group including at least one member, and a processor configured to recognize the member data from the received image, to acquire operation data including an operation condition of an air conditioner, which is desired by the member, based on the recognized data, to store member information including the member data and the operation data in a database, and to acquire and analyze the operation condition of the air conditioner, which is desired by the member, with respect to at least one member from a plurality of pieces of member information corresponding to the group stored in the database, wherein the air conditioner is autonomously driven according to control of the processor. Accordingly, the air conditioner learns members itself and controls an operation in an optimum state to reduce power consumption and is driven according to an operation condition set for each member to enhance personal convenience of the member.
-
公开(公告)号:US11301673B2
公开(公告)日:2022-04-12
申请号:US16811723
申请日:2020-03-06
Applicant: LG ELECTRONICS INC.
Inventor: Yeon Kyung Chae , Dongwoo Han , Taeyup Song
Abstract: A method for controlling, by a controller, an electronic device is provided. The method may include: sensing, by a sensor, a first radiation signal incident on the sensor; generating, by the sensor, a first output signal based on the first radiation signal; recognizing a human body based on the first output signal; determining a position of the human body as being located in one of an indoor space or an outdoor space based on the first output signal; and generating a control signal for controlling the electronic device connected via a wired or wireless network based on the position of the human body. A learning model includes a deep neural network generated through machine learning and transmission of a control signal may be performed in an Internet of Things (IoT) environment using a 5G network.
-
公开(公告)号:US11301779B2
公开(公告)日:2022-04-12
申请号:US16380547
申请日:2019-04-10
Applicant: LG ELECTRONICS INC.
Inventor: Taeyup Song , Dongwoo Han
IPC: G06N20/00 , F24F11/64 , F24F11/65 , G05B15/02 , F24F11/58 , F24F11/30 , F24F11/56 , F24F11/79 , G05B15/00 , F24F120/12 , F24F11/46 , F24F110/10 , F24F11/77 , F24F140/40 , F24F140/60 , F24F110/20
Abstract: A method of operating an air conditioner, including: obtaining an image acquired by a camera; determining a distance and a direction of an occupant relative to the air conditioner, based on the image; using at least one machine-learning network to classify an air-blowable space of the air conditioner into an intensive air blowing area and a non-intensive air blowing area, based on the distance and the direction of the occupant; controlling the air conditioner to operate in an intensive operation mode with respect to the intensive air blowing area; and controlling the air conditioner to operate in a non-intensive operation mode with respect to the intensive air blowing area and the non-intensive air blowing area based on completion of the intensive operation mode. A time duration of the intensive operation mode is smaller than a time duration of the non-intensive operation mode.
-
-
-
-
-