Abstract: An electronic device is provided.

Abstract: A portable communication device or electronic device is provided. The communication device includes a housing including a first housing structure, a second housing structure, and a hinge cover positioned between at least a portion of the first housing structure and at least a portion of the second housing structure, a flexible display at least partially received in the housing and including a first portion corresponding to the first housing structure, a second portion corresponding to the second housing structure, and a third portion corresponding to the hinge cover, a hinge structure positioned between the third portion of the flexible display and the hinge cover and connected with the first housing structure and the second housing structure, and at least one sealing member positioned between the third portion of the flexible display and the hinge cover and contacting the hinge cover.

Abstract: A portable communication device or electronic device is provided. The communication device includes a housing including a first housing structure, a second housing structure, and a hinge cover positioned between at least a portion of the first housing structure and at least a portion of the second housing structure, a flexible display at least partially received in the housing and including a first portion corresponding to the first housing structure, a second portion corresponding to the second housing structure, and a third portion corresponding to the hinge cover, a hinge structure positioned between the third portion of the flexible display and the hinge cover and connected with the first housing structure and the second housing structure, and at least one sealing member positioned between the third portion of the flexible display and the hinge cover and contacting the hinge cover.

Abstract: An electronic device is provided. The electronic device includes a hinge housing extending in a direction of a rotational axis, a first housing connected to one side of the hinge housing in a direction perpendicular to the rotational axis to rotate about the rotational axis relative to the hinge housing, a second housing connected to an opposite side of the hinge housing in a direction perpendicular to the rotational axis to rotate about the rotational axis relative to the hinge housing, and a flexible display including a bending area at least partially disposed in the hinge housing and formed to be a flat surface or a curved surface, a first area extending from the bending area in one direction perpendicular to the rotational axis, and a second area extending from the bending area in an opposite direction perpendicular to the rotational axis.

Abstract: Suggested is an antenna module which maximizes a characteristic of isolation between two radiation patterns located adjacent to each other by forming a ground wall, by means of through-holes, at the radiation patterns. The suggested antenna module comprises: a first radiation pattern disposed on the upper surface of a base substrate; a second radiation pattern disposed on the upper surface of the base substrate while being spaced away from the first radiation pattern; a plurality of first through-holes arranged in parallel with one side of the first radiation pattern facing the second radiation pattern; and a plurality of second through-holes arranged in parallel with one side of the second radiation pattern facing the first radiation pattern.

Abstract: The present disclosure relates to a cooking device and a control method thereof and, more specifically, a cooking device using heat, such as an oven, and a control method thereof.

Abstract: The present disclosure relates to a cooking appliance and a control method therefor, and, particularly, to a cooking appliance using heat, such as an oven, and a control method therefor. The present disclosure may comprise: a main body; a cooking chamber provided inside the main body to have one open surface, and including a plurality of steps supporting the position of a rack in which food to be cooked is accommodated; a camera module provided to the upper part of the cooking chamber to estimate the position of the rack in which food to be cooked is accommodated, and including a camera for generating a captured image by capturing the position of the rack in which food to be cooked is accommodated inside the cooking chamber; and a cooling fan which is arranged at one side of the camera module and which cools down the camera module by suctioning external air.

Abstract: Disclosed herein is an intelligent washing machine includes: an inner tub in which laundry is placed; a motor transferring a rotational force to the inner tub; an image obtaining unit obtaining an image of the laundry placed in the inner tub after a washing process; and a controller obtaining a laundry classification information reflecting water content percentage information of the laundry from the image of the laundry, learning the laundry classification information to predict a degree of vibration of the inner tub that occurs in a spin-drying process, and varying a revolutions per minute (RPM) of the motor in the spin-drying process according to the predicted degree of vibration of the inner tub. The washing machine may be associated with an artificial intelligence (AI) module, an unmanned aerial vehicle (UAV) (or drone), a robot, an augmented reality (AR) device, a virtual reality (VR) device, and a device related to a 5G service.

Abstract: The present application relates to a laundry treating apparatus. More specifically, the present application relates to a laundry treating apparatus having a camera and a control method thereof. One embodiment of the present application provides a method including: causing a drum to move laundry inside the drum; generating time-series images of movement of the laundry by capturing an inside of the drum while the laundry moves over time; determining a movement state of the laundry based on the generated time-series images while the drum rotates at a revolutions per minute (RPM); controlling the RPM of the drum based on the movement state of the laundry to increase a laundry spread value; and after the laundry spread value has increased, increasing the RPM of the drum to perform a spinning process.

Abstract: Disclosed herein is an artificial intelligence-based laundry treating apparatus. The artificial intelligence-based laundry treating apparatus according to an embodiment of the present invention receives big data about information of an external environment capable of affecting laundry and life log data including activity information of a user wearing the laundry and automatically sets an optimal laundry management course for the laundry based on input factors including the big data and the life log data. Further, the artificial intelligence-based laundry treating apparatus may operate based on the optimal laundry management course to clean the laundry. A washing machine of the present invention may be associated with an artificial intelligence module, a drone (Unmanned Aerial Vehicle, UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to a 5G service, and the like.

Abstract: The present disclosure relates to an artificial intelligence (AI) dryer. The AI dryer according to an embodiment of the present disclosure includes: a casing; a washing tub disposed in the casing; a motor configured to rotate the washing tub; a driver configured to drive the motor and including an output current detector for detecting an output current flowing through the motor; a heat supplier configured to supply heat to the washing tub; and a controller configured to control the driver, wherein the controller performs learning using DNN based on the output current detected by the output current detector, determines a load of laundry in the washing tub by the learning, and determines operation course information based on information of load of the laundry, thereby providing optimal operation course information corresponding to the information of load of the laundry.

Abstract: An artificial intelligent laundry treatment apparatus according to an embodiment of the present invention includes: a door including an external cover and an internal glass and configured to open and close a laundry entrance; a gasket formed on an inner circumferential surface of the laundry entrance; a door imaging sensor disposed to face the internal glass and configured to acquire a door image; a gasket imaging sensor configured to acquire a gasket image including a region of the gasket; and a processor configured to classify a state of the door on the basis of the door image, to acquire a gasket contamination degree on the basis of the gasket image, and to determine whether inside cleansing is required for a region including an inside of a drum on the basis of at least one of the classification result of the state of the door or the acquired gasket contamination degree.

Abstract: Disclosed herein is a washing machine including a door including an external cover and an internal glass to open and close a laundry entrance, at least one image sensor disposed to face the internal glass to acquire image data, a detergent bubble recognizer configured to recognize detergent bubble from the image data through a machine learning based image recognition model, and a controller configured to perform control to perform an additional rinsing cycle based on a result of recognition.

Abstract: The present invention relates to home appliances treating the laundry or object received therein using artificial intelligence. Specifically, the home appliance may include an artificial intelligence-based laundry washing machine that recognizes a load based on vision and automatically provides a specific course. The home appliance include 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 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 home appliance to treat the object based on the set current treatment information.

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 application relates to a laundry treating apparatus. More specifically, the present application relates to a laundry treating apparatus having a camera and a control method thereof. One embodiment of the present application provides a method including: causing a drum to move laundry inside the drum; generating time-series images of movement of the laundry by capturing an inside of the drum while the laundry moves over time; determining a movement state of the laundry based on the generated time-series images while the drum rotates at a revolutions per minute (RPM); controlling the RPM of the drum based on the movement state of the laundry to increase a laundry spread value; and after the laundry spread value has increased, increasing the RPM of the drum to perform a spinning process.

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 is an artificial intelligence-based laundry treating apparatus. The artificial intelligence-based laundry treating apparatus according to an embodiment of the present invention receives big data about information of an external environment capable of affecting laundry and life log data including activity information of a user wearing the laundry and automatically sets an optimal laundry management course for the laundry based on input factors including the big data and the life log data. Further, the artificial intelligence-based laundry treating apparatus may operate based on the optimal laundry management course to clean the laundry. A washing machine of the present invention may be associated with an artificial intelligence module, a drone (Unmanned Aerial Vehicle, UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to a 5G service, and the like.

Abstract: Disclosed is an artificial intelligent refrigerator including a cold-storage chamber; a temperature information receiver for receiving external temperature information of a location in which a purchased item is located; an arrival time information receiver for receiving expected arrival time information to be taken until the item is stored in the cold-storage chamber; and a temperature controller for setting in advance a target cooling temperature of the cold-storage chamber for the item based on an artificial intelligence (AI) processor in which a neural network model is mounted before the item is stored in the cold-storage chamber. Here, the temperature controller inputs the external temperature information and the expected arrival time information to the neural network model to estimate a temperature change of the item and sets in advance a target cooling temperature of the cold-storage chamber based on an estimated temperature change of the item.

Abstract: An artificial intelligent laundry treatment apparatus according to an embodiment of the present invention includes: a door including an external cover and an internal glass and configured to open and close a laundry entrance; a gasket formed on an inner circumferential surface of the laundry entrance; a door imaging sensor disposed to face the internal glass and configured to acquire a door image; a gasket imaging sensor configured to acquire a gasket image including a region of the gasket; and a processor configured to classify a state of the door on the basis of the door image, to acquire a gasket contamination degree on the basis of the gasket image, and to determine whether inside cleansing is required for a region including an inside of a drum on the basis of at least one of the classification result of the state of the door or the acquired gasket contamination degree.