A method of operating a laundry treating appliance with a treating chamber for treating a load of laundry the method comprising supplying a rinse to the treating chamber during a rinse cycle, rotating the treating chamber at a tumbling speed, spinning the treating chamber in an extraction cycle to remove excess moisture from the load of laundry, sensing a parameter indicative of a remaining moisture content value in the load of laundry, comparing the remaining moisture content value to a pre-determined remaining moisture content value.

A dryer appliance includes a microphone for monitoring sound generated during operation of the dryer appliance and a controller is operably coupled to the microphone. The controller is configured for obtaining a sound signal generated during operation of the dryer appliance and converting the sound signal into a spectrogram that represents a sound frequency and a sound amplitude over time. An artificial intelligence image recognition process is used to analyze the spectrogram to identify one or more sound signatures that are associated with particular operating conditions, and operation of the dryer appliance is adjusted based at least in part on the identification of the sound signature.

A method of operating a dryer appliance is provided that includes obtaining washer operating parameters from a washing machine appliance that is linked to the dryer appliance and obtaining dryer operating parameters of the dryer appliance. These parameters are transmitted to a remote server along with a user input such as a selected dryness level. The method further includes receiving operating instructions from the remote server and adjusting at least one operating parameter of the dryer appliance based on the operating instructions.

A washing machine and an operating method thereof are disclosed. A washing machine according to an embodiment of the present invention comprises: a washing tub; a touch screen for outputting a graphical object corresponding to a washing-related function which can be performed by the washing tub; a detergent supplying unit which is formed to receive a laundry detergent in an inner space thereof and supply the received laundry detergent to the washing tub through a supply fluid path; and a control unit which detects a load and a contamination level of laundry in response to input of a washing start command and determines an input quantity of the laundry detergent received in the detergent supplying unit on the basis of the detected load and contamination level. In addition, the control unit displays a graphical object related to the determined laundry detergent input quantity on the touch screen.

A clothing treatment apparatus includes a plurality of inverters for controlling the motors of a drum, a compressor, and a blowing fan, a converter for converting input power input from an external source and outputting the converted power to the inverters, and a control unit for controlling the plurality of inverters and the converter.

A method and system for setting parameters of a treatment cycle in a household appliance is provided. First a model establishing a relationship between sets of configuration parameter values of achievable treatment performance is obtained. Then a target treatment performance for the treatment cycle is obtained. Values for a subset of a configuration parameter are fixed, the subset comprising at most all configuration parameters but a remaining configuration parameter. Then, a value for the remaining configuration parameter is determined. For this value, a difference between the target treatment performance and an achievable treatment performance predicted by the model using said value is below a predetermined threshold. Finally, the parameters of the treatment cycle, which can be setting parameters of the treatment cycle in the household appliance are output. The parameters comprise the determined value and the fixed values.

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 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 dryer appliance includes a drum rotatably mounted within a cabinet for receiving a load of clothes during a drying cycle. A temperature sensor measures a temperature of air circulated through the drum and a controller obtains a remaining moisture content of the load of clothes from a washing machine appliance, obtains a measured air temperature using the temperature sensor, determines a restriction level of a vent based at least in part on the measured air temperature, and adjusts at least one operating parameter of the dryer appliance based at least in part on the remaining moisture content and the restriction level.

The present invention relates to a method for controlling a laundry machine, comprising a cloth sensing step of sensing the cloth of laundry, wherein the cloth sensing step comprises: a weight sensing step of sensing the weight of the laundry; a photographing step of photographing the inside of a drum; a volume sensing step of sensing the volume of the laundry inside the drum by mean of the captured image; and a density calculation step of calculating the density of the laundry on the basis of the sensed volume and weight.