A method of operating a washing machine appliance in a commercial laundromat setting includes receiving a request to start a new wash cycle from a user of the washing machine appliance, determining that a self-clean condition exists, identifying an anticipated laundromat capacity, determining that the anticipated laundromat capacity falls below a predetermined capacity threshold, prompting the user to initiate a self-clean cycle in response to determining that the self-clean condition exists and that the anticipated laundromat capacity falls below the predetermined capacity threshold, receiving a command to initiate the self-clean cycle from the user, and initiating the self-clean cycle and providing the user with an incentive for initiating the self-clean cycle.

A laundry treating appliance includes a cabinet defining an interior. A drum is located within the interior and defines a treating chamber. The laundry treating appliance includes a recirculation circuit including a recirculation pump having an inlet and an outlet. The laundry treating appliance further includes a bulk treating chemistry dispenser. A method for rinsing or cleaning the bulk treating chemistry dispenser can be included.

A laundry washing machine and a method for operating the washing machine offer ways to load a unit dose package into a compartment of the washing machine. A control unit controls the washing machine to add water to a compartment having a unit dose package. The tub is then filled with hot or cold water depending on the temperature of the water in the tub, or whether a sanitizing cycle of a washing program has been selected.

A laundry washing machine and a method for operating the washing machine offer ways to load a unit dose package into a compartment of the washing machine. A control unit controls the washing machine to add water to a compartment having a unit dose package. The tub is then filled with hot or cold water depending on the temperature of the water in the tub, or whether a sanitizing cycle of a washing program has been selected.

A laundry appliance includes a basket 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 camera assembly mounted within the cabinet in view of the chamber. A controller is configured to initiate an automatic self-clean cycle, the method comprising determining that the door is closed, obtaining one or more images of the chamber using the camera assembly, determining that there is no load in the chamber based at least in part on the one or more images, determining that a self-clean condition is satisfied, and commencing the self-clean cycle.

A laundry appliance includes a basket 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 camera assembly mounted within the cabinet in view of the chamber. A controller is configured to initiate an automatic self-clean cycle, the method comprising determining that the door is closed, obtaining one or more images of the chamber using the camera assembly, determining that there is no load in the chamber based at least in part on the one or more images, determining that a self-clean condition is satisfied, and commencing the self-clean cycle.

Disclosed is a washing system capable of detecting a level of contamination of a laundry tub by executing a big data, an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for things Internet. The washing system capable of detecting a level of contamination of a laundry tub according to one embodiment of the present disclosure includes a composite sensor for detecting a level of contamination of a laundry tub, a washing machine controller that receives a digital signal from the composite sensor to determine a level of contamination of the laundry tub, and a server communicating with the washing machine. The washing machine controller or the server learns AI model with the training data set through a machine learning algorithm in order to predict a progressing degree of contamination of the laundry tub.

Disclosed is a washing system capable of detecting a level of contamination of a laundry tub by executing a big data, an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for things Internet. The washing system capable of detecting a level of contamination of a laundry tub according to one embodiment of the present disclosure includes a composite sensor for detecting a level of contamination of a laundry tub, a washing machine controller that receives a digital signal from the composite sensor to determine a level of contamination of the laundry tub, and a server communicating with the washing machine. The washing machine controller or the server learns AI model with the training data set through a machine learning algorithm in order to predict a progressing degree of contamination of the laundry tub.

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.

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.