Abstract: Disclosed herein are a method of controlling operations of an air conditioner by analyzing a user's behavior pattern, and an air conditioner, the present disclosure according to an embodiment includes an air blower configured to discharge air, a camera configured to acquire images of a space in which an indoor unit of the air conditioner is disposed, and a control unit configured to extract features from the image acquired by the camera, to generate image descriptions, and to control the air conditioner using parameters generated in response to the image descriptions.

Abstract: A home appliance and a control method for the home appliance, which is operable in an IoT environment through a 5G communication network and uses a neural network model generated according to machine learning is provided. The home appliance may include a home appliance main body; a container mounted within the home appliance main body to accommodate a treatment target; a camera arranged to photograph the inside of the container; and one or more processors configured to control an operation of the home appliance, wherein the processor is configured to determine an amount of a treatment target based on feature shapes of the container identified in an image of the inside of the container photographed by the camera.

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.

Abstract: The present invention relates to an artificial intelligence-based clothing management apparatus for receiving clothes in a hung state and treating the clothes, and a control method thereof. The apparatus may include an clothing containing portion disposed in a cabinet for receiving clothing to be treated in a hung manner; a camera to generate image information of the clothing contained in the clothing containing portion; a user interface configured to receive treatment information of the clothing from a user; and a processor configured to: obtain a learning result from a learning operation using image information previously acquired using the camera and treatment information previously acquired from the user interface; and process image information currently acquired using the camera with respect to the learning result, thereby to generate and set current treatment information; and control the apparatus to treat the clothing based on the set current treatment information.

Abstract: The present disclosure relates to a cooking device, and more particularly, to a cooking device in which a cooking target is accommodated in a cooking space to perform cooking. According to one embodiment of the present disclosure, a cooking device and its control method may be provided, wherein the cooking device comprises a cavity provided to accommodate a cooking target; a camera module configured to capture a first image of the cooking target located in the cavity; a heating module configured to heat the cooking target; an interface configured to receive an input including a cooking temperature and a cooking time; and a controller configured to: output a second image of the cooking target based on the received input, wherein the second image corresponds to a predicted image of the cooking target after cooking is finished; and control the camera module and the heating module based on the received input.

Abstract: Disclosed herein are a method of controlling operations of an air conditioner by analyzing a user's behavior pattern, and an air conditioner, the present disclosure according to an embodiment includes an air blower configured to discharge air, a camera configured to acquire images of a space in which an indoor unit of the air conditioner is disposed, and a control unit configured to extract features from the image acquired by the camera, to generate image descriptions, and to control the air conditioner using parameters generated in response to the image descriptions.

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.

Abstract: A home appliance and a control method for the home appliance, which is operable in an IoT environment through a 5G communication network and uses a neural network model generated according to machine learning is provided. The home appliance may include a home appliance main body; a container mounted within the home appliance main body to accommodate a treatment target; a camera arranged to photograph the inside of the container; and one or more processors configured to control an operation of the home appliance, wherein the processor is configured to determine an amount of a treatment target based on feature shapes of the container identified in an image of the inside of the container photographed by the camera.

Abstract: The present invention relates to an artificial intelligence-based clothing management apparatus for receiving clothes in a hung state and treating the clothes, and a control method thereof. The apparatus may include an clothing containing portion disposed in a cabinet for receiving clothing to be treated in a hung manner; a camera to generate image information of the clothing contained in the clothing containing portion; a user interface configured to receive treatment information of the clothing from a user; and a processor configured to: obtain a learning result from a learning operation using image information previously acquired using the camera and treatment information previously acquired from the user interface; and process image information currently acquired using the camera with respect to the learning result, thereby to generate and set current treatment information; and control the apparatus to treat the clothing based on the set current treatment information.