A dryer including a drum; a heat pump including a compressor, evaporator, condenser, and electronic expansion valve; a user interface; a power module to control power supply to the compressor motor and the drum motor; a duct to receive air from the drum so that the received air flows in the duct to be heated by operation of an evaporator and condenser, and to discharge the heated air to the drum; a plurality of temperature sensors to detect temperature of the heat pump, the power module, and the duct; and a controller configured to identify a factor to be controlled from among a plurality of factors that may cause incomplete drying, based on at least one of output data from the plurality of temperature sensors and opening degree data of the electronic expansion valve, and control the user interface to output a notification of the identified factor to be controlled.

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.

Disclosed are an object treating apparatus, and more particularly, an object treating apparatus for heating a drum using an induction heater and a control method thereof. The object treating apparatus includes a tub; a drum rotatably disposed within the tub and accommodating an object therein; an induction heater disposed on the tub and configured to heat an outer circumferential face of the drum contacting the heater; a motor to rotate the drum; and a processor configured to control an operation of the induction heater to dry the object, wherein the processor is configured to control revolution per minute (RPM) of the drum to perform, during drying: a conductive accelerating motion having a target RPM in which the object rotates integrally with the drum while the object is in close contact with an inner circumferential face of the drum; and a rearrangement motion having a target RPM lower than the target RPM of the conductive accelerating motion.

A laundry treating system includes a laundry treating appliance having a first basket for receiving a first laundry load and a first clothes mover disposed in the first basket. The laundry treating system is user configurable between first, second, and third configurations. A kit for customizing a laundry treating appliance can include a second clothes mover and a second basket configured to removably couple with the laundry treating appliance.

Disclosed are an object treating apparatus, and more particularly, an object treating apparatus for heating a drum using an induction heater and a control method thereof. The object treating apparatus includes a tub; a drum rotatably disposed within the tub and accommodating an object therein; an induction heater disposed on the tub and configured to heat an outer circumferential face of the drum contacting the heater; a motor to rotate the drum; and a processor configured to control an operation of the induction heater to dry the object, wherein the processor is configured to control revolution per minute (RPM) of the drum to perform at least three drum motions having at least three different target RPMs respectively when drying the object.

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 treating apparatus includes a cabinet with an insertion opening defined in a front face, a laundry receiving space in the cabinet, a support assembly in the laundry receiving space for supporting laundry, and a first chamber including an air supply part for supplying dehumidified and heated air into the laundry receiving space. A communication opening in the front face of the cabinet opens to the first chamber. A chamber door is configured to open and close the communication opening. A water discharge tank is detachably connected to the chamber door and stores condensate water discharged from the air supply part. A chamber door conveying part reciprocates the chamber door, and moves the support assembly toward the insertion opening when the door opens the insertion opening.

A method includes receiving, at an artificial intelligence (AI) accelerator of a computing system, image data of one or more objects from an image sensor and performing an AI operation on the image data at the AI accelerator of the computing system using an AI model. The method further includes determining a custom cleaning cycle at the AI accelerator in response to performing the AI operation.

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.