A laundry processing apparatus and a driving method thereof for driving a laundry processing apparatus by executing an artificial intelligence (AI) algorithm and/or machine learning algorithm in a 5G environment connected for the Internet of Things are provided. The driving method may include obtaining a drive current of a motor and a rotational speed of a drum during a cycle of the laundry processing apparatus, classifying a type of load of laundry located inside the laundry processing apparatus based on the obtained drive current and rotational speed, determining whether to change a course of the laundry processing apparatus according to the type of load, outputting a recommended course corresponding to the type of load when a course change of the laundry processing apparatus is determined, and changing the cycle of the laundry processing apparatus to the recommended course upon receiving a selection signal for the recommended course.

The invention relates to a laundry treating appliance and method for controlling the operation of the laundry treating appliance by determining the surface area of the laundry based on image data of the laundry.

A laundry washing machine and method automate the selection of a load type for a laundry washing machine based in part on sensing multiple times during an initial fill phase of a wash cycle and based in part on a fluid level sensed by a fluid level sensor operatively coupled to a wash tub. The dynamic selection may be based at least in part on a first time at which the fluid level sensor senses a predetermined fluid level while water is being dispensed into the wash tub and a peak time at which the fluid level sensor senses a stabilization of fluid level after water is not being dispensed into the wash tub. The dynamic selection may also be accelerated by skipping the sensing of one or more times in response to determining that an earlier reached time meets a predetermined criterion.

A laundry washing machine and method automate the selection of a load type for a laundry washing machine based in part on sensing multiple times during an initial fill phase of a wash cycle and based in part on a fluid level sensed by a fluid level sensor operatively coupled to a wash tub. The dynamic selection may be based at least in part on a first time at which the fluid level sensor senses a predetermined fluid level while water is being dispensed into the wash tub and a peak time at which the fluid level sensor senses a stabilization of fluid level after water is not being dispensed into the wash tub. The dynamic selection may also be accelerated by skipping the sensing of one or more times in response to determining that an earlier reached time meets a predetermined criterion.

A laundry washing machine and method automate the selection of various operational settings for a wash cycle based in part on color composition data collected from a load of articles using a color detection sensor. In some instances, the capture of color composition data is triggered by detected weight changes sensed by a weight sensor as the load of articles is added to a wash tub, and is based in part on the detection of a stable weight in the wash tub for at least a predetermined duration. In addition, in some instances, color compensation data may be used to characterize a load of articles based in part on a color decision algorithm that assigns pixels in the color compensation data to different color categories.

A laundry washing machine and method detect the presence of outlier articles in a load of articles added to a wash tub based in part on color composition data collected from the load of articles using a color detection sensor. In some instances, color composition data may be used to generate an alert to a user to notify the user that an outlier article is potentially present in the load, and in some instances, color compensation data may be used to modify a load type selection to account for the presence of an outlier article in the load.

A laundry washing machine and method adapt the operation of a laundry washing machine for a particular installation environment using a calibration process that may be performed at installation and/or at various times thereafter to determine one or more operational settings used to control the operation of the laundry washing machine. A calibration process, for example, may determine one or more of an ambient light characteristic, a water supply pressure, and an empty wash tub weight to generate one or more operational settings used by a controller of a laundry washing machine.

A method of operating a washing machine appliance is provided. The washing machine appliance includes a wash basket rotatably mounted within a wash tub and defining a wash chamber configured for receiving of a load of articles. A camera is positioned with a view of the wash chamber. The method includes obtaining one or more images of the wash chamber with the camera, analyzing the one or more images using a machine learning image recognition process to determine that the articles are tangled, and adjusting at least one operating parameter of the washing machine appliance in response to determining that the articles are tangled.

A displaying apparatus includes a communication interface, a display, a drum accommodating a subject to be dried, a sensing device that constructs a wireless communication link with the communication interface by using power generated through self-power generation according to a rotation of the drum, a hot air supplying device that supplies hot air to the drum, and a processor configured to, based on constructing the wireless communication link between the sensing device and the communication interface, display a first object on the display.

A laundry system may include a washing machine appliance and a dryer appliance. The washing machine appliance may include a first controller configured to initiate a washing operation. The first controller may be configured store wash control information of a plurality of discrete washing operation occurrences of the washing machine appliance. The dryer appliance may include a second controller in operable communication with the first controller to receive one or more data signals therefrom. The second controller may be configured to initiate a drying operation. The first controller or the second controller may be configured to determine a combined load condition based on the wash control information of the plurality of discrete washing operation occurrences of the washing machine appliance. The second controller may be configured to adjust the drying operation according to the combined load condition.