Lg Electronics Inc.

Yeon Kyung Chae

Dongwoo Han

Taeyup Song

Provided are an air conditioner and a control method thereof. The air conditioner may include a wind direction controller that changes the direction of air being discharged, an air volume controller that changes the amount of air being discharged, a camera that obtains an image of indoor space and provides an indoor space image, and a control unit that controls the wind direction controller and the air volume controller, wherein the control unit finds indoor space information based on the indoor space image, and controls at least one of the wind direction controller and the air volume controller based on the indoor space information.

Air conditioner and method for controlling same based on indoor space image including relative positions of walls, ceiling, and floor

Disclosed is a fabric identifying system including a fabric identifying apparatus for identifying the type of a fabric of clothing and a server. The fabric identifying apparatus includes an image camera for obtaining image information on a fabric structure of clothing, a fabric identifier for performing a function of identifying the type of the fabric based on the fabric structure of the image information. The server includes an artificial intelligence model learner for generating a fabric type identifying engine for learning the fabric structure of the image information of the received clothing through a deep neural network, the server is configured to transmit the learned fabric type identifying engine to the fabric identifying apparatus. According to the present disclosure, it is possible to identify the type of the fabric of the clothing by using the artificial intelligence (AI), the artificial intelligence based screen recognition technology, and the 5G network.

Fabric identifying method, apparatus, and system

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.

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Incheon, South Korea

Yeon Kyung Chae