A home appliance and a control method for the home appliance, which is operable in an IoT environment through a 5G communication network and uses a neural network model generated according to machine learning is provided. The home appliance may include a home appliance main body; a container mounted within the home appliance main body to accommodate a treatment target; a camera arranged to photograph the inside of the container; and one or more processors configured to control an operation of the home appliance, wherein the processor is configured to determine an amount of a treatment target based on feature shapes of the container identified in an image of the inside of the container photographed by the camera.

A home appliance and a control method for the home appliance, which is operable in an IoT environment through a 5G communication network and uses a neural network model generated according to machine learning is provided. The home appliance may include a home appliance main body; a container mounted within the home appliance main body to accommodate a treatment target; a camera arranged to photograph the inside of the container; and one or more processors configured to control an operation of the home appliance, wherein the processor is configured to determine an amount of a treatment target based on feature shapes of the container identified in an image of the inside of the container photographed by the camera.

A method for controlling a laundry treating apparatus is disclosed. The apparatus comprises a main-drum and an auxiliary-drum selectively mounted on or separated from the main-drum. The method may comprise: a main laundry quantity detection operation for detecting a laundry quantity in the main-drum via rotation of a pulsator disposed in the main-drum; and an auxiliary laundry quantity detection operation for detecting a laundry quantity in the auxiliary-drum by driving the main-drum, wherein the auxiliary laundry quantity detection operation is performed based on the main laundry quantity detected in the main laundry quantity detection operation.

A method for controlling a laundry treating apparatus is disclosed. The apparatus comprises a main-drum and an auxiliary-drum selectively mounted on or separated from the main-drum. The method may comprise: a main laundry quantity detection operation for detecting a laundry quantity in the main-drum via rotation of a pulsator disposed in the main-drum; and an auxiliary laundry quantity detection operation for detecting a laundry quantity in the auxiliary-drum by driving the main-drum, wherein the auxiliary laundry quantity detection operation is performed based on the main laundry quantity detected in the main laundry quantity detection operation.

The present invention relates to an artificial intelligence washing machine and an operation method thereof. A method of operating a washing machine may comprise estimating, based on a previous setting of a previous washing operation, an estimated setting for a current washing operation, wherein the estimated setting includes a water supply time, a drainage time, and a spin-drying time, obtaining a user input, obtaining an amount of laundry from a weight sensor of the washing machine, determining, based on the estimated setting, the user input, and the amount of laundry, a washing time for the current washing operation and displaying the determined washing time to the user. Accordingly, the estimated washing time is provided with the reflection of data of the washing machine which has been accumulated by the increase of the number of uses, thereby reducing a difference between an actual operating time and the estimated washing time and minimizing the user inconvenience.

The present invention relates to an artificial intelligence washing machine and an operation method thereof. A method of operating a washing machine may comprise estimating, based on a previous setting of a previous washing operation, an estimated setting for a current washing operation, wherein the estimated setting includes a water supply time, a drainage time, and a spin-drying time, obtaining a user input, obtaining an amount of laundry from a weight sensor of the washing machine, determining, based on the estimated setting, the user input, and the amount of laundry, a washing time for the current washing operation and displaying the determined washing time to the user. Accordingly, the estimated washing time is provided with the reflection of data of the washing machine which has been accumulated by the increase of the number of uses, thereby reducing a difference between an actual operating time and the estimated washing time and minimizing the user inconvenience.

A method of operating a laundry treating appliance with a combination washer/dryer having a cabinet defining an interior, a tub located within the interior, and a rotatable drum located within the tub interior and defining a treating chamber, and an air recirculation conduit, the method comprising supplying water to the treating chamber, rotating the drum, and draining the water from the laundry treating appliance.

A method of operating a laundry treating appliance with a combination washer/dryer having a cabinet defining an interior, a tub located within the interior, and a rotatable drum located within the tub interior and defining a treating chamber, and an air recirculation conduit, the method comprising supplying water to the treating chamber, rotating the drum, and draining the water from the laundry treating appliance.

The present disclosure relates to an intelligent positive and negative pressure system and an operation method therefor, and an intelligent positive and negative pressure electric appliance. The system comprises a positive and negative pressure intelligent fresh-keeping refrigerator, a positive and negative pressure intelligent washing machine, a positive and negative pressure dish washing and fruit and vegetable cleaning machine, a positive and negative pressure range hood, a positive and negative pressure baking and frying microwave oven, a positive and negative pressure fresh-keeping compartment container, a positive and negative pressure fresh-keeping warehouse, a positive and negative pressure disinfection machine, and a positive and negative pressure module cabinet. By means of the positive and negative pressure system, a fluid and a carried substance thereof are regulated and controlled by means of positive and negative pressure, so as to affect an object in a specific space in a targeted manner.

The present disclosure relates to an intelligent positive and negative pressure system and an operation method therefor, and an intelligent positive and negative pressure electric appliance. The system comprises a positive and negative pressure intelligent fresh-keeping refrigerator, a positive and negative pressure intelligent washing machine, a positive and negative pressure dish washing and fruit and vegetable cleaning machine, a positive and negative pressure range hood, a positive and negative pressure baking and frying microwave oven, a positive and negative pressure fresh-keeping compartment container, a positive and negative pressure fresh-keeping warehouse, a positive and negative pressure disinfection machine, and a positive and negative pressure module cabinet. By means of the positive and negative pressure system, a fluid and a carried substance thereof are regulated and controlled by means of positive and negative pressure, so as to affect an object in a specific space in a targeted manner.