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 method of controlling an intelligent washing machine includes: obtaining a laundry image of laundry placed in a washing tub; extracting laundry classification information from the laundry image; calculating an estimated water supply time on the basis of the laundry classification information; and extending the reference water supply time if the estimated water supply time exceeds a predetermined reference water supply time, and supplying water to the washing tub for the extended reference water supply time. 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: Disclosed herein is an intelligent washing machine includes: an inner tub in which laundry is accommodated; a driving unit tumbling the laundry by transferring a rotational force to the inner tub; and a controller extracting a control signal for each load related to the tumbling operation of the laundry when activation of an automatic course is detected, recognizing characteristics of the laundry by applying the control signal for each load to a predetermined base learning model, and automatically selecting a washing course that best matches the characteristics of the laundry. 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: 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: A touch sensing apparatus includes a first plate configured to receive a touch input, a second plate spaced apart from the first plate, a piezoelectric element disposed between the first and second plates, the piezoelectric element being configured to generate electrical signals corresponding to the touch input received on the first plate, an ultrasonic output unit configured to output ultrasonic signals based on the electrical signals generated from the piezoelectric element, a plurality of microphones configured to receive the ultrasonic signals, and a processor configured to determine a position of the touch input on the first plate based on the ultrasonic signals received by the plurality of microphones.

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 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 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: A touch sensing apparatus includes a first plate configured to receive a touch input, a second plate spaced apart from the first plate, a piezoelectric element disposed between the first and second plates, the piezoelectric element being configured to generate electrical signals corresponding to the touch input received on the first plate, an ultrasonic output unit configured to output ultrasonic signals based on the electrical signals generated from the piezoelectric element, a plurality of microphones configured to receive the ultrasonic signals, and a processor configured to determine a position of the touch input on the first plate based on the ultrasonic signals received by the plurality of microphones.