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 washing machine appliance includes a wash basket that is rotatably mounted within a wash tub and that defines a wash chamber for receiving a load of clothes. A motor assembly selectively rotates the wash basket, a drain pump assembly selectively drains wash fluid from the wash tub, and a camera assembly is used to monitor an out-of-balance value to minimize out-of-balance issues. Specifically, a controller of the washing machine appliance uses the camera assembly to obtain one or more images of the wash chamber, analyze the one or more images using a machine learning image recognition process to determine the out-of-balance value of the load of clothes in the wash basket, and perform a cloth redistribution process based at least in part on determining that the out-of-balance value is greater than a predetermined out-of-balance threshold.

Appliances configured to detect leaks and methods of detecting leaks are provided. The appliance includes a grounded chassis. The appliance also includes a first levelling leg electrically coupled to the chassis and a second levelling leg electrically isolated from the chassis. The appliance also includes a controller in operative communication with the second levelling leg and the chassis. The controller is configured for, and related methods include, monitoring electrical continuity between the second levelling leg and the chassis and detecting water on the base surface in response to electrical continuity between the second levelling leg and the chassis.

A dryer appliance and a method of operating the same are provided. In one aspect, the dryer appliance includes a drum rotatably mounted within a cabinet. The drum defines a chamber that is in fluid communication with a conditioning system of the dryer appliance that circulates heated air through the chamber. A controller is configured to receive a command to initiate an appliance travel cycle and implement a responsive action to prepare the dryer appliance for travel. The responsive action may be the automated adjustment of one or more operating parameters of the dryer appliance, such as performing a load sensing procedure, drying the chamber, closing the water supply valves, etc. In addition, the responsive action may include providing a user instruction to prepare the dryer appliance, e.g., by cleaning the lint filter, emptying the condensate collection tank, removing hoses and cables, addressing any error codes, etc.

A method of operating a laundry treatment apparatus includes receiving a tangle-free selection signal corresponding to a tangle-free option distinct from a default option, adjusting one or more parameters of an agitation cycle according to the tangle-free option in response to receiving the tangle-free selection signal, and initiating a washing operation incorporating the one or more adjusted parameters.

A washing machine appliance includes a wash basket that is rotatably mounted within a wash tub and that defines a wash chamber for receiving a load of clothes. A water supply adds water to the wash tub during a fill cycle and a camera assembly is used to monitor the water level. Specifically, the camera assembly obtains one or more images of the wash chamber during and/or after a fill cycle and a controller analyzes the images using a machine learning image recognition process to determine when the water within the wash tub has reached a predetermined water level, e.g., optimized based on load size or other load parameters. If the water in the wash tub is below or above the predetermined water level, the controller may implement responsive action, e.g., by adjusting at least one operating parameter of the washing machine appliance.

Washing machine appliances and methods of operating the same are provided. Such methods may include, and/or appliances may be configured for, receiving a command to commence an operating cycle of the washing machine appliance and filling the wash tub with wash liquid from a fluid circulation system configured for providing fluid to the wash tub via an inlet of the fluid circulation system in response to the command. Methods may further include and/or appliances may be configured for, obtaining one or more images of the inlet of the fluid circulation system during the fill step using a camera mounted within the cabinet. The camera is positioned and oriented with the inlet within a field of vision of the camera. Based on the one or more images, a determination is made whether a water pressure provided to the fluid circulation system is above a predetermined minimum water pressure.

Systems, apparatuses and methods for easily modifying and using a laundry washing machine to recirculate water and spray wash water and cleaning compositions onto textiles in order to optimize water usage, wash temperature, and composition dosage are provided. An apparatus comprising a replacement door window, a spray nozzle, a pump, tubing, and connectors for use in the modified laundry washing machine is further provided. The modification system provides improved cleaning performance and effective cleaning even in low water conditions.

A control method includes performing a first drum operation of supplying water by a first set amount together with a detergent into the tub and rotating the drum at a first drum rotation speed while water is supplied, operating the pump at a first pump rotation speed during the first drum operation, operating a heater to heat water in the tub, performing a second drum operation of rotating the drum at the first drum rotation speed during the operation of the heater, and operating the pump at a second pump rotation speed at least once during the second drum operation, stopping the operation of the heater, performing a third drum operation of rotating the drum at the first drum rotation speed, and operating the pump at the first pump rotation speed during the third drum operation.

A method of operating a washing machine appliance is provided. The washing machine appliance includes a wash basket rotatably mounted within a wash tub and defining a wash chamber configured for receiving of a load of articles. A camera is positioned with a view of the wash chamber. The method includes obtaining one or more images of the wash chamber with the camera, analyzing the one or more images using a machine learning image recognition process to determine that the articles are tangled, and adjusting at least one operating parameter of the washing machine appliance in response to determining that the articles are tangled.