A washing machine includes a first tub storing water; a first drum provided to be rotatable in the first tub; a first driving motor for rotating the first drum; a second tub storing water; a second drum provided to be rotatable in the second tub; a second driving motor for rotating the second drum; at least one heater for heating water stored in at least one of the first tub and the second tub; and a controller configured to determine whether the at least one heater and the second driving motor are operating at a time to operate the first driving motor, and control operation of the second driving motor to be stopped and control the first driving motor to be operated when the at least one heater and the second driving motor are operating.

A washing machine appliance includes a wash basket that is rotatably mounted within a wash tub and that defines a wash chamber for receiving a load of clothes. A camera assembly is mounted within the wash tub for taking images of the load of clothes during and/or after a wash or rinse cycle. A controller is operably coupled to the camera for obtaining and analyzing the images using a neural network image recognition process (such as an R-CNN process) to determine a whether the level of suds or bubbles exceeds a suds threshold. If there are too many suds in the wash tub, the controller may implement corrective action, e.g., by decreasing a water temperature, adding more water, or reducing the amount of detergent that is auto-dispensed in a subsequent wash cycle.

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.

The present invention relates to a clothing processing device which, when using artificial intelligence or an algorithm provided by artificial intelligence, can cause a user to visually recognize same, and an online system comprising same.

A method for controlling a washing apparatus including a power supply device is provided. The method includes controlling driving of a motor in a normal washing mode, determining temperature of the power supply device, controlling driving of the motor in an overheating prevention mode for reducing power consumption by the motor, when the temperature of the power supply device is equal to or higher than a first temperature, and repeating the driving in the overheating prevention mode multiple times such that the temperature of the power supply device is below a second temperature lower than the first temperature, wherein the repeating of the driving in the overheating prevention mode multiple times comprises controlling driving of a heater for heating washing water such that power consumption by the heater increases, when a number of times of driving in the overheating prevention mode is greater than a predetermined value.

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.

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. Accordingly, the air conditioner learns members itself and controls an operation in an optimum state to reduce power consumption and is driven according to an operation condition set for each member to enhance personal convenience of the member.

A laundry washing machine with a vertical-axis agitator and a control unit. The control unit has a processor and a memory with instructions that, when executed, cause the laundry washing machine to: receive a selection of user preferences via a user interface, determine whether or not the user preferences include a selection of a unit dose package mode having instructions to modify the default wash filling process, and based on this determination: operate the washing machine to execute the user preferences without applying the instructions to modify a default wash filling process if the user preferences do not include the selection of the unit dose package mode, or operate the washing machine to execute the user preferences with applying the instructions to modify the default wash filling process if the user preferences do include the selection of the unit dose package mode.

A microwave oven system, which includes: a microwave oven having a controllable power setting; a thermal camera at the microwave oven and which provides temperature data of one or more cooking items in the microwave oven; an optical camera at the microwave oven and which provides optical data of the one or more cooking items in the microwave oven; and a controller. A processor is configured to: receive the optical data, identify using a machine learning model, the one or more cooking items and their quantities at the microwave using the received optical data of the optical camera, access a recipe data bank, determine, using the recipe data bank, one or more steps for cooking of the one or more cooking items in the microwave oven.

A laundry machine having a refreshing operation and a control method of the same are disclosed. The disclosed method comprises a steam water supply operation of supplying wash water to a tub up to a water level for generation of steam while preventing the wash water to pass through a drum, when the refreshing course is selected, a steaming operation of heating the wash water by driving a washing heater, thereby generating steam, and a refreshing operation of refreshing the laundry by alternately executing, after the steaming operation, a tumbling driving operation to tumble the laundry within the drum through rotation of the drum and a spin driving operation to rotate the laundry within the drum in close contact with an inner surface of the drum, in accordance with high-speed rotation of the drum.