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 dynamically adjustable textile dryer and method of controlling a conveyor belt speed of the textile dryer is provided. The speed of the belt is utilized to more quickly adjust the temperature of the drying chamber.

A washing machine including an auxiliary washing tub in a washing tub, and a method for controlling the same are disclosed. The washing machine includes a main washing tub and an auxiliary washing tub through which different laundry can be classified according to the weight or category of laundry such that the classified laundry can be separately washed. As a result, user convenience increases, and the entire washing time and unnecessary energy consumption can be reduced. When the main washing tub and the auxiliary washing tub are simultaneously operated, when only the main washing tub is independently operated, or when only the auxiliary washing tub is independently operated, laundry can be effectively washed in different ways in the washing tub and the auxiliary washing tub according to an optimum washing algorithm achieved by a combination of washing-tub rotation and pulsator rotation, such that laundry can be less damaged and washing performance can be improved.

A clothes treating apparatus which controls a temperature of clothes and an operating time by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of Things and an operating method of the clothes treating apparatus are provided. The clothes treating apparatus includes a communicator, a controller, a memory, a storage space, a temperature sensor, a temperature adjuster, and a fan. The communicator collects weather information and operation information of at least one connected device. Further, the communicator collects activity information or biometric information of the user from a portable terminal, a wearable device, or a vehicle. A user's preferred clothing temperature is derived by using clustering, deep learning, and reinforcement learning of the collected information, and the temperature of the clothes is adjusted based on the derived target temperature.

There is proposed a washing machine and a control thereof capable of maximizing a mechanical force regardless of the amount and weight of laundry. By using a washing profile in which the cycle and size of a washing RPM are variable, a washing mechanical force can be maximized regardless of the amount of laundry or a change in the weight of the laundry due to moisture absorption of the laundry. In addition, the head drop behavior of the laundry can be diversified through the washing profile in which the cycle and size of the washing RPM are variable, and in this way, by allowing water (washing water) to be effectively infiltrated into the laundry, the washing performance can be improved. In addition, by continuously showing various washing operations (rubbing, tapping, centrifugal rotation, or the like), an effect of enhancing the visibility of washing can be obtained.

A dryer appliance that includes a fire extinguishing system is provided. In one aspect, the dryer appliance includes a drum rotatably mounted within a cabinet. The drum defines a chamber for receipt of articles for drying. The dryer appliance includes a water inlet valve in fluid communication with a steam nozzle operable to deliver water into the chamber to form mist or steam. The dryer appliance also includes an extinguishing nozzle in fluid communication with the chamber of the drum and with the water inlet valve. Upon detection of a fire, water is provided to the extinguishing nozzle and the extinguishing nozzle directs a stream of water into the chamber to extinguish the detected fire.

An appliance having a cabinet, a door connected to the cabinet and movable in an opening direction from a closed position to an open position, and a handle connected to the door. The handle has a first side facing against the opening direction and forming a grasping surface, a second side facing along the opening direction, and an interface region having one or more input interfaces on the second side of the handle. The appliance has one or more shutoff sensors configured to disable at least one of the one or more input interfaces on the interface region when an object is detected adjacent the grasping surface.

A laundry treatment appliance having at least one compartment adapted to contain multiple doses of a treatment agent; at least one metering device adapted to draw up from the compartment at least one treatment agent dose to be delivered to a laundry load to be treated during a laundry treatment cycle; a user interface having at least one input selector for user selection of at least one treatment agent management function that affects the drawing up of the at least one treatment agent dose by the at least one metering device, and a communication interface for allowing a communication relationship between the laundry treatment appliance and an external user device, the communication interface being configured to receive from the external device enablement commands enabling the at least one input selector to allow the user selection of the at least one treatment agent management function.

A method of detecting a mechanical decoupling in a laundry appliance is provided. The laundry appliance includes a rotatable basket and a motor configured to drive the rotatable basket. The method includes determining a target rotational speed and activating the motor at a first rotational speed proportional to the determined target rotational speed. The method further includes determining an actual rotational speed after activating the motor at the first rotational speed and comparing the actual rotational speed to the target rotational speed. When the actual rotational speed is greater than the target rotational speed, the method determines that the motor is decoupled from the basket.

A washer system, including: a washer having controllable operational parameters; an optical camera which provides optical data at the washer; a controller configured to: communicate with the washer and the optical camera, receive the optical data from the optical camera, and control the operational parameters of the washer. The washer system includes a processor configured to: receive the optical data, identify, using a machine learning model, types of laundry and quantities of the laundry loaded in the washer using received optical data from the optical camera and data sets stored in a data bank, and communicate with the controller to control the washer to operate using one or more specified operational parameters based on the types of laundry and the quantities of laundry.