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 method of operating a laundry machine apparatus includes determining that an amount of water above a predetermined amount is present within a tub, setting a limited rotational velocity of the drum, and determining a laundry load characteristic in order to rotate the drum at a standard rotational velocity above the limited rotational velocity.

A laundry appliance includes a cabinet defining an opening with a laundry vessel mounted within the cabinet. The laundry vessel defines a treatment chamber. The laundry appliance also includes an electrolytic hypochlorous acid generator upstream of the treatment chamber with respect to a flow of cold water through the laundry appliance and a controller. The controller may be configured for and/or a method of sanitizing the laundry appliance may include opening a valve upstream of the electrolytic hypochlorous acid generator to provide the flow of cold water through the laundry appliance, confirming the presence of the cold water in the laundry appliance after opening the valve, and activating the electrolytic hypochlorous acid generator after confirming the presence of the cold water in the laundry appliance.

A laundry treatment appliance having a humidity measuring arrangement comprising a sensing unit for sensing an electric parameter associated with a laundry load housed in a laundry treatment chamber, a processing unit for determining the humidity of the laundry load according to the sensed electric parameter, and a conductive element electrically coupled to the processing unit and arranged such that, when an at least partially conductive body is in proximity of the conductive element, an electric signal is generated by capacity coupling between the conductive element and the least partially conductive body, wherein the processing unit is configured to access a presence or absence of a user near the appliance according to a pattern of the electric signal at the processing unit.

An appliance includes an external communication port, such as an RJ45 port, and a wireless communication module in wireless communication with a remote server through an external network. In addition, a controller includes a boot loader segment and is configured to receive a request to access the boot loader segment of the controller, transmit a notification of the request to the remote server using the wireless communication module, receive an access determination from the remote server, e.g., such as an access authorization or denial from an owner, and regulate access to the boot loader segment based at least in part on the access determination.

The system disclosed here can detect a counterfeit item by obtain an identifier (ID) of an item from the item and determining whether the ID of the item is authentic by determining whether the ID of the item is compliant with a predetermined rule, such as whether the item is included in a database of valid IDs. Upon determining that the ID of the item is compliant with the predetermined rule, the system can produce a notification that the item is authentic. Upon determining that the ID of the item is not generated by the predetermined rule, the system can produce a notification that the item is counterfeit.

Disclosed is an intelligent washing machine. A control method for an intelligent washing machine according to an embodiment of the present invention may: predict a washing machine cycle from user information; control the washing machine according to the predicted washing machine cycle; acquire an image of the inside of the drum by means of a camera while the washing machine is being controlled; predict the contamination level inside the drum by using the acquired image; and perform an additional control operation according to the predicted result. The intelligent washing machine may be linked to an Artificial Intelligence module, an Unmanned Aerial Vehicle (UAV), a robot, an Augmented Reality (AR) device, a virtual reality (VR) device, a device related to a 5G service, or the like.

The present disclosure relates to an artificial intelligence (AI) dryer. The AI dryer according to an embodiment of the present disclosure includes: a casing; a washing tub disposed in the casing; a motor configured to rotate the washing tub; a driver configured to drive the motor and including an output current detector for detecting an output current flowing through the motor; a heat supplier configured to supply heat to the washing tub; and a controller configured to control the driver, wherein the controller performs learning using DNN based on the output current detected by the output current detector, determines a load of laundry in the washing tub by the learning, and determines operation course information based on information of load of the laundry, thereby providing optimal operation course information corresponding to the information of load of the laundry.

Disclosed is an electronic device. The electronic device includes a memory storing information on a trained artificial intelligence model, a communication interface, and a processor configured to obtain recommended process information by using the artificial intelligence model and control the communication interface to transmit the obtained recommended process information to a washing related machine, and the processor is configured to, based on usage information of each of a plurality of washing related machines, group the plurality of washing related machines into a plurality of groups and obtain tendency information of a group to which the washing related machine belongs among the plurality of groups. The artificial intelligence model is trained based on the usage information received from the washing related machine and the obtained tendency information.