A control method for a smart clothes treatment system, solving the problem that an existing linkage method is more suitable for application to a system of associated home appliances that work with the same operating parameters and the linkage mobility and the degree of intelligence are not good. The control method of the smart clothes treatment system can automatically recommend care parameter information of a clothes care device according to washing parameter information of a clothes washing device, so that the clothes care device can directly operate on the basis of the recommended care parameter information. The control method can be appliable to a combination of linkage home appliances having different types of operating parameters such as the clothes washing device and the clothes care device, so that multiple home appliances having a large difference in operating parameters can perform linkage operation on the basis of a specific matching scenario.

System and method for dispensing product to a washing machine. A chemical dispensing system includes a system controller, machine interface, and pump controller that communicate through serial data buses. The system controller provides a user interface, retrieves washing machine status information from the machine interface, and issues product dispensing commands to the pump controller. The pump controller monitors pump status and dispenses product in response to commands from the system controller. The pump controller: (1) determines pump activation periods based on calibration data stored in a pump controller memory; (2) tracks pump usage and adjusts the activation period to compensate for pump wear as the pump ages; (3) disables the pump if conditions exists that preclude operating the pump; (4) monitors product levels, and (5) reports pump status to the system controller. Integral channels are included in the pump housing to provide stress relief to a squeeze tube.

A method for controlling a laundry processing apparatus according to an embodiment of the present disclosure comprises steps of: inputting power to at least a second processing device and, through an input unit in the second processing device, inputting an installation inspection instruction for the second processing device; performing a primary inspection process by the installation inspection instruction; and performing a second inspection process after the primary inspection process is completed. In the primary inspection process, the control unit of the second processing device controls a plurality of inspections to proceed automatically in sequence, and the plurality of inspections may comprise at least two of a pairing inspection, a drawer closing state inspection, a drawer locking state inspection, and a lid closing state inspection.

Disclosed is an artificial intelligence (AI)-based laundry treatment apparatus comprising: a washing module; a camera to acquire an image of laundry; a memory for storing therein a laundry recognition model, wherein the model is trained using a machine learning or deep learning algorithm, wherein the model is configured to recognize laundry information about the laundry; and a processor configured to apply image data from the acquired image to the laundry recognition model to acquire the laundry information.

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 laundry treating apparatus includes: a cabinet; a drum; a driver rotating the drum; a control panel including a manipulation portion receiving a selection command for selecting a course or an option triggering an operation of the driver, a display portion displaying state information including at least one of a name, a selected state, or an executed state of the course or the option, and a setting portion disposed at an outside of the manipulation portion and the display portion and receiving a change command to change the option; a communication module communicating with a home appliance; and a switch disposed at the cabinet and receiving a connection command that causes the communication module to communicate with the home appliance, where the setting portion is deactivated, based on the switch receiving an input, to thereby restrict at least a part of the setting portion from receiving the change command.

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.

In order to increase an adsorption rate of softener for laundry, a method of controlling a washing machine according to an embodiment includes performing a first rinsing process based on a first target water level and a first duty ratio of a motor; when a second rinsing process is started, supplying water to an intermediate water level of a fixed tub; additionally supplying water to a second target water level together with the softener; setting a duty ratio of the motor to a second duty ratio higher than the first duty ratio; and driving the motor based on the second duty ratio.

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.