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.

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 laundry dryer includes a cabinet, a user interface that is operably coupled to the cabinet, a motor that is disposed within the cabinet and communicatively coupled with the user interface, and a controller that is communicatively coupled with the user interface and the motor, respectively. The controller includes a memory storage that includes a plurality of night routines. The controller is configured with a selectable time point and is further configured to select at least one of the plurality of night routines at the selectable time point.

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.

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.

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 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 notification control device includes: a sound notification controller sending a first notification control signal for causing a first device to provide a first notification, obtaining first response information to the first notification, and determining whether the first response information is in response to notification information; an image notification controller sending a second notification control signal for causing a second device to provide a second notification, obtaining second response information to the second notification, and determining whether the second response information is in response to the notification information; and a canceller sending a cancellation process signal for cancelling (a) the second notification when the sound notification controller determines that the first response information is in response to the notification information and (b) the first notification when the image notification controller determines that the second response information is in response to the notification information.

A laundry treating apparatus includes a dryer disposed in an indoor space; a washing machine vertically disposed with respect to the dryer; a refresher disposed on one side of the dryer and the washing machine; and a heating device heating air supplied to at least one of the dryer, the washing machine, and the refresher. The heating device includes a plurality of compressors, and controls a number of compressors to be operated and an RPM of the operated compressors, according to a cycle status of the dryer, the washing machine, and the refresher.