An electrical household appliance includes a communication interface configured to communicate with a communication device through a communication connection. A remote control facility is configured to make it possible to operate the electrical household appliance by way of a communication device. A door is configured to open a region of the electrical household appliance in an open state or to close the region in a closed state. A monitoring facility is configured to detect the state of the door. A controller is configured to automatically activate the remote control facility if the door is in the closed state and the electrical household appliance is activated locally. A method for operating an electrical household appliance is also provided.

A retrofit auxiliary device for distributing cleaning resources to a household cleaning appliance having a treating chamber is described wherein the device can connect to various household cleaning appliances of different makes and models and can learn the flow of water and detergent during various stages of operation and then perform the dispensing itself.

An artificial intelligence apparatus determines whether a washing option in a washing course according to the input of a user is changed when input of the user is received, and collect use history information when the washing option is changed. In addition, the artificial intelligence apparatus inputs the collected use history information to an option resetting model to acquire a second washing option for resetting the washing course, and resets the washing option included in the washing course according to the second washing option.

A washing machine, and a method of controlling the same, the washing machine including a tub; a drum in the tub; a motor configured to rotate the drum; a vibration sensor configured to detect vibration of the tub as the drum is rotated during a dehydrating course, and to produce a corresponding vibration value; and a controller configured to stop the motor to stop the dehydrating course based on the vibration value produced by the vibration sensor indicating that vibration of the tub exceeds an acceptable standard of vibration during the dehydrating course, and thereafter restart the dehydrating course, and change the acceptable standard of vibration based on a number of times of restarting the dehydrating course in a plurality of laundry cycles.

Provided is a home appliance that performs a washing or drying operation based on a start command input through artificial intelligence and voice recognition a method for controlling such a home appliance. According to the present disclosure, the home appliance and the method for controlling such a home appliance include a sensor that senses a state of a door installed in a washing unit and a controller that executes an operation command based on a change of a state of the door sensed by the sensor. At this time, when the door is changed from an open state to a close state after the power of the home appliance is turned on, the controller controls the operation of the washing unit based on the operation command extracted from the voice signal of the user. Thus, the present disclosure may enable performing an command to start an operation input based on voice recognition.

A home appliance includes a cabinet, a user interface provided on the cabinet, the user interface comprising one or more light emitting diodes and at least one input button, a wireless communication module configured to receive wireless transmissions, and a controller provided within the cabinet. The controller is configured for receiving a request for a system update via the wireless communication module, displaying a predetermined sequence on the user interface via the one or more light emitting diodes indicating that the request for the system update is available, receiving a confirmation via a user input to the user interface to initiate the system update, and instructing the wireless communication module to obtain the system update.

A dynamic imbalance detection system capable of whether a washing machine is in a dynamically imbalanced position by using big data and executing an AI algorithm or a machine learning algorithm in a 5G communications network environment built for IoT. The system includes a washing machine and a server communicating with the washing machine. The washing machine includes a vibration sensor attached to a washing machine cabinet and a controller receiving a vibration signal detected by the vibration sensor during the operation of the washing machine and processing the vibration signal into vibration data. The server receives the vibration data from the controller and trains a machine learning algorithm on a training dataset that is obtained by processing one or more features among a displacement magnitude, a displacement ratio, and a displacement phase, and determines result values of dynamic balance and dynamic imbalance labeled with the one or more features.

A washing machine including a tub configured to store water; a drum configured to be rotatable in the tub; a motor configured to rotate the drum; heaters configured to heat the water stored in the tub and including a main heater and the sub heater; and a controller configured to control the heaters to stop driving of the sub heater when the current value of the motor exceeds a predetermined reference current value during driving of the motor and the heaters.

A laundry treatment appliance includes a cabinet; a wash tub provided within the cabinet, the wash tub comprising an axial column, the axial column configured to receive multiple wash baskets stacked axially; and a controller provided within the cabinet. The controller is configured for receiving wash cycle requests from a plurality of unique users, each of the wash cycle requests having a corresponding set of wash parameters; matching a first unique user and a second unique user from the plurality of unique users according to the corresponding set of wash parameters; determining a first individual cost for the first unique user and a second individual cost for the second unique user; receiving a confirmation from each of the first and second unique users; and generating a joint washing operation in accordance with the set of washing parameters.

A laundry washing machine and method automate the selection of a load type for a laundry washing machine during an initial fill phase of a wash cycle and based in part on weight and fluid level sensed by weight and fluid level sensors operatively coupled to a wash tub and after a selected amount of water has been dispensed into the wash tub.