Patent classifications
D06F2105/52
SYSTEMS AND METHODS FOR USING ARTIFICIAL INTELLIGENCE FOR DETERGENT DIAGNOSTICS IN A WASHING MACHINE APPLIANCE
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 dispensing assembly selectively dispenses wash fluid through a discharge nozzle into the wash tub and a camera assembly is used to monitor the wash fluid and diagnose issues related to the detergent quantity. Specifically, a controller of the washing machine appliance uses the camera assembly to obtain one or more images of the load of clothes as fresh water is dispensed to determine whether detergent was added manually. The controller further determines whether a smart dispense feature is activated or deactivated and implements a responsive action in response to determining that either 1) detergent is present and the smart dispense feature is activated or 2) detergent is not present and the smart dispense feature is deactivated.
OPTIMIZATION OF LAUNDRY CYCLES UTILIZING USER FEEDBACK
A method of operating a laundry treatment appliance includes performing a selected laundry treatment operation on a laundry load in accordance with an original set of operating parameters, obtaining a feedback input from a user regarding a dryness level of the laundry load, adjusting at least one operating parameter of the original set of operating parameters, and generating a new set of operating parameters including the at least one adjusted operating parameter.
DRYING APPARATUS AND CONTROL METHOD THEREOF
A drying apparatus including a drying unit and a processor configured to control an operation of the drying unit. The processor is configured to, based on a drying request being received, identify whether the drying request is an initial drying command for a material to be dried or an additional drying request for the material to be dried, and based on the drying request being identified as the additional drying command, control the drying unit to perform an additional drying operation for the material to be dried based on a drying operation method corresponding to a previous drying command for the material to be dried.
Method and apparatus for cleaning laundry
A method for controlling a laundry washing machine. The method includes: performing a tub loading process comprising operating supply valve(s) to provide a first volume of water through a detergent supply system and into a tub to fill the tub with wash liquid; performing a washing process comprising rotating a drum to agitate laundry in in the presence of the wash liquid; performing a static rinsing process comprising operating a pump to remove any free volume of wash liquid from the tub without rotating the drum; and performing one or more rinsing processes comprising: operating the supply valve(s) to provide a volume of clean rinse water to the tub, operating the pump to remove the rinse water from the drum, and operating the motor to spin the drum at high speed to extract rinse water from the laundry, while continuing to operate the pump.
Home appliance and method for controlling home appliance
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.
Washing machine and method of controlling the same
A washing machine and a method of controlling the washing machine are provided. The washing machine includes a display configured to display a washing course and a first washing option set corresponding to the washing course, an inputter configured to receive a user's option change command for changing at least one washing option among a plurality of washing options included in the first washing option set from a user, a storage configured to store a washing option set including the changed at least one washing option, and at least one processor configured, based on the storage of the washing option set being more than a predetermined number of times, to control the first washing option set to be changed to a second washing option set based on the changed at least one washing option.
WASHING APPLIANCE, METHOD OF DETECTING OPERATIONAL ERROR, AND CONTROL ARRANGEMENT
A washing appliance comprising a liquid container, a liquid level indicator unit configured to provide data indicative of a liquid level in the liquid container, a drain conduit, and a drain pump. The washing appliance further comprises a control arrangement configured to operate the drain pump during a first time period, control the drain pump to a standstill during a second time period following the first time period, and monitor a change of the liquid level during the second time period using data from the liquid level indicator unit. Also provided are a method of detecting an operational error in a washing appliance, a computer program, a computer-readable medium, and a control arrangement for a washing appliance.
SYSTEMS AND METHODS FOR USING ARTIFICIAL INTELLIGENCE FOR IMPROVED RINSE CYCLES IN A WASHING MACHINE APPLIANCE
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 dispensing assembly selectively dispenses wash fluid through a discharge nozzle into the wash tub and a camera assembly is used to monitor the load of clothes and diagnose the presence of excessive bubbles after a wash cycle. Specifically, a controller of the washing machine appliance uses the camera assembly to obtain one or more images of the load of clothes after the drain phase of the wash cycle and analyzes the one or more images using a machine learning image recognition process to determine a bubble level within the wash tub. If the bubble level is greater than a predetermined bubble threshold, corrective action is taken to reduce the bubbles and detergent concentration.
WASHING MACHINE AND CONTROL METHOD THEREOF
A washing machine according to an aspect of the disclosure includes: a drum; a tub accommodating the drum and storing water; a drum motor configured to provide a rotation force to the drum; a water supplier configured to supply water to the tub; a hot air supplier configured to supply hot air to the drum; a current sensor configured to output a current signal corresponding to a magnitude of current applied to the drum motor; and a controller configured to perform a washing operation while controlling the water supplier and the drum motor, and perform a drying operation while controlling the hot air supplier and the drum motor.
SYSTEMS AND METHODS FOR USING ARTIFICIAL INTELLIGENCE TO PERFORM DETERGENT DISPENSER DIAGNOSTICS IN A WASHING
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 dispensing assembly selectively dispenses a flow of wash fluid through a discharge nozzle into the wash tub and a camera assembly is used to monitor the wash fluid and diagnose issues related to the detergent dispenser. Specifically, a controller of the washing machine appliance uses the camera assembly to obtain one or more images of the flow of dispensed wash fluid, analyze the one or more images using a machine learning image recognition process to determine an actual detergent content of the flow of wash fluid, determine that the actual detergent content is different than a target detergent content, and implement a responsive action, e.g., such as stopping the operating cycle and notifying a user.