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 dryer appliance including a drum defining a chamber for receiving clothes, a moisture sensor for detecting a remaining moisture content within the clothes, and a water supply in fluid communication with the chamber is provided. A controller determines that the remaining moisture content has dropped below a predetermined moisture content and calculates a remaining cycle time based at least in part on a selected dryness level. The controller further determines a spray schedule based on at least one of a load size, a flow restriction, or a selected heat level, and provides a spray of water into the chamber according to the spray schedule until the remaining cycle time has lapsed.

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.

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.

Disclosed is an artificial intelligence (AI) apparatus comprising: a short-range communication module configured for sensing a plurality of laundry treatment apparatuses positioned around the AI apparatus; and a processor configured for: acquiring laundry information about laundry and characteristic information of each of the detected laundry treatment apparatuses; determining a laundry group corresponding to the laundry, based on the acquired laundry information; comparing characteristic information of the determined laundry group and characteristic information of each of the plurality of laundry treatment apparatuses with each other; and determining a laundry treatment apparatus for washing the laundry among the plurality of laundry treatment apparatuses based on the comparison result.

Disclosed is an artificial intelligence (AI) apparatus comprising: a short-range communication module configured for sensing a plurality of laundry treatment apparatuses positioned around the AI apparatus; and a processor configured for: acquiring laundry information about laundry and characteristic information of each of the detected laundry treatment apparatuses; determining a laundry group corresponding to the laundry, based on the acquired laundry information; comparing characteristic information of the determined laundry group and characteristic information of each of the plurality of laundry treatment apparatuses with each other; and determining a laundry treatment apparatus for washing the laundry among the plurality of laundry treatment apparatuses based on the comparison result.

A washer includes a drum, a motor connected to the drum, a motor drive connected to the motor and configured to supply a driving current to the motor to rotate the drum, and a processor connected to the motor drive. The processor is configured to control the motor drive to supply the driving current to the motor to rotate the motor at a target speed and to determine a magnitude of a load accommodated in the drum while controlling a rotational speed of the motor within a predetermined range.

A washer includes a drum, a motor connected to the drum, a motor drive connected to the motor and configured to supply a driving current to the motor to rotate the drum, and a processor connected to the motor drive. The processor is configured to control the motor drive to supply the driving current to the motor to rotate the motor at a target speed and to determine a magnitude of a load accommodated in the drum while controlling a rotational speed of the motor within a predetermined range.

The present disclosure relates to a washing machine and a control method of the same. The washing machine includes: a detergent supply device which supplies a liquid additive to the tub; and a controller which controls the operation of the detergent supply device. The detergent supply device includes: a plurality of cartridges which contain the additive respectively; an electrode sensor which detects conductivity of the additive contained in the plurality of cartridges; and a pump which extracts the additive contained in the cartridge. The controller determines a type of additive contained in the cartridge based on a detection value of the electrode sensor.