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.

Provided are a washing apparatus that is capable of being operated in an Internet of Things (IoT) environment over a 5G communication network and estimating additional laundry that is introduced and the amount of detergent that is additionally introduced based thereon through a neural network model generated based on machine learning, and a method of controlling the same.

A home appliance having a motor includes: an inverter unit; and an inverter control unit for controlling a switching operation of the inverter unit, wherein the inverter control unit generates a braking command for braking the motor, on the basis of an operating mode of the home appliance, and controls the inverter unit to stop the motor when a preset braking time elapses after the braking command is generated, and to execute a first braking mode in which the rotational speed of the motor is reduced in a state where no current flows in the inverter control unit, and then to execute at least one of a second braking mode and a third braking mode in which the rotational speed of the motor is reduced in a state where a current flows in the inverter control unit.

A method of operating a laundry treatment apparatus includes receiving a tangle-free selection signal corresponding to a tangle-free option distinct from a default option, adjusting one or more parameters of an agitation cycle according to the tangle-free option in response to receiving the tangle-free selection signal, and initiating a washing operation incorporating the one or more adjusted parameters.

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 used to monitor articles for washing within the wash basket. Specifically, a controller of the washing machine appliance uses the camera assembly to obtain a reference image and one or more test images, which utilize image recognition to assess turn-over of the articles for washing during a given wash cycle. When turn-over performance is inadequate, a controller may adjust one or more operating parameters of the wash cycle to improve performance. Turn-over performance of the wash cycle is determined to be adequate once the image recognition process fails to find adequate correlation between the reference image and the test image a predetermined number of times.

A server, a washing machine, and a washing system including the same are provided. The washing system includes a washing machine and a server configured to receive turbidity information of washing water from the washing machine at pre-set time intervals, identify an amount of change in turbidity information of the washing water for the pre-set time intervals based on the received turbidity information, predict turbidity information of the washing water based on the amount of change in turbidity information of the washing water, and transmit a control signal for controlling a washing cycle of the washing machine based on the predicted turbidity information of the washing water.

A laundry treating apparatus includes a tub, a drum rotatably disposed inside the tub, a rotator that is rotatably disposed on a bottom surface of the drum and includes a pillar extending inside the drum and a plurality of blades spaced apart from each other along a circumferential direction of the pillar and inclined with respect to a longitudinal direction of the pillar, a motor for driving the drum and the rotator, and a controller that controls operation of the motor. A method for controlling the apparatus includes sensing an amount of clothes in the drum, sensing a washing load of the clothes including a moisture content from water supplied into the tub, and sensing a cloth material of the clothes. When the washing load corresponds to a normal washing load in the first cloth material sensing operation, a first washing process is performed according to the washing load.

A control method for a clothes drying apparatus that aims to solve the problem of a load being prone to entangling when an existing clothes drying apparatus is used for drying a large load. For this purpose, the control method for a clothes drying apparatus includes: determining the size of a load in a load determining stage; and when the load is a large load, controlling a drying drum to rotate unidirectionally in a first heating stage, and controlling the drying drum to alternately rotate normally and reversely in a second heating stage. Accordingly, a drying effect can be guaranteed while the load is effectively prevented from being knotted and entangled, and the drying time is shortened.

A laundry appliance includes a drum rotatably mounted within a cabinet and defining a chamber configured for receiving a load of clothes, a door pivotally mounted to the cabinet for providing selective access to the chamber, and a user interface for controlling operation of the laundry appliance. A controller is configured to monitor the number of wash cycles that have occurred in the laundry appliance since the last self-clean cycle. Once the laundry appliance reaches a predetermined number of wash cycles without an intervening self-clean cycle, an automatic self-clean cycle is initiated upon the next selection of a drying cycle by the user, wherein the drying cycle provides an indication that the chamber is empty of article of laundry and that the user has no further immediate washing needs. In these circumstances, the controller is configured to reconfigure the selected drying cycle into a combination cycle including a self-clean cycle which is automatically followed by the desired drying cycle.

A laundry appliance includes a camera for determining whether the drum is rotating during operation of the appliance. A controller is operably coupled to the camera. The controller is configured for obtaining one or more images of the drum during operation of the appliance. An artificial intelligence image recognition process is used to perform image classification and determine whether a drum rotation fault has occurred. In the event of a drum rotation fault, operation of the laundry appliance is adjusted.