APPARATUS AND METHOD FOR CONTROLLING ELECTRONIC DEVICE

    公开(公告)号:US20210182545A1

    公开(公告)日:2021-06-17

    申请号:US16811723

    申请日:2020-03-06

    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.

    AI-based laundry course recommending apparatus and method of controlling the same

    公开(公告)号:US11525202B2

    公开(公告)日:2022-12-13

    申请号:US16603815

    申请日:2019-06-28

    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.

    Apparatus and method for controlling electronic device

    公开(公告)号:US11301673B2

    公开(公告)日:2022-04-12

    申请号:US16811723

    申请日:2020-03-06

    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.

    Air conditioner
    6.
    发明授权

    公开(公告)号:US11301779B2

    公开(公告)日:2022-04-12

    申请号:US16380547

    申请日:2019-04-10

    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.

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