An apparatus and method for reducing displacement of a washing machine having a drum rotatable about an axis of rotation is disclosed. The washing machine comprises a chassis and a motor for rotation a drum. The drum is suspended from the chassis by a suspension. The suspension can comprise springs having six natural frequencies that can resonate at a rotational speed of the drum driven by the motor. The suspension system can be tuned such that resonant frequencies can be varied based upon rotational speed of the drum.

A dryer according to the disclosure may detect current flowing through a motor for rotating a drum, detect humidity of a drying material accommodated in the drum, compare the detected humidity to a plurality of pieces of reference humidity and compare the detected current to a plurality of pieces of reference current to obtain a drying load, control a revolutions per minute (rpm) of the motor, a frequency of a compressor provided in a heat pump, and a degree of superheat of an evaporator provided in the heat pump based on the drying load, perform a drying process, detect humidity of the drying material while the drying process is performed, and finish the drying process in response to the detected humidity determined to be target humidity.

A laundry washing machine and method automate the selection of various operational settings for a wash cycle based in part on color composition data collected from a load of articles using a color detection sensor. In some instances, the capture of color composition data is triggered by detected weight changes sensed by a weight sensor as the load of articles is added to a wash tub, and is based in part on the detection of a stable weight in the wash tub for at least a predetermined duration. In addition, in some instances, color compensation data may be used to characterize a load of articles based in part on a color decision algorithm that assigns pixels in the color compensation data to different color categories.

Provided are a washing apparatus that is capable of being operated in an Internet of Things (IoT) environment over a 5G communication network and estimating additional laundry that is introduced and the amount of detergent that is additionally introduced based thereon through a neural network model generated based on machine learning, and a method of controlling the same.

A device for use in a household appliance is disclosed, the device comprising: at least one casing, wherein the casing is configured to be placed in a treatment chamber of a household appliance; wherein the casing comprises at least one output module, which is configured to dispense at least one preparation into the treatment chamber of the household appliance and/or to trigger an output; and at least one sensor module, which is configured to determine sensor data characteristic of the condition of the treatment chamber of the household appliance and/or of the device; wherein the sensor module comprises at least one sensor, wherein the sensor data at least partially represents information determined by employing the at least one sensor; wherein the data determined by sensor is at least partially indicative of a load condition of the treatment chamber of the household 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 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.

The present disclosure relates to a method for washing laundry of a laundry load, in particular in a washing drum (B2), carried out by at least one device (100, 200). In one example, the method includes generating steam and applying the steam to the laundry of the laundry load; producing a microemulsion by employing a detergent composition; and washing the laundry of the laundry load using a first wash liquor based on the microemulsion.

The present specification relates to a clothing treatment apparatus and a control method therefor, the clothing treatment apparatus comprising: a plurality of inverters for controlling the motors of a drum, a compressor, and a blowing fan; a converter for converting input power input from an external source and outputting the converted power to the inverters; and a control unit for controlling the plurality of inverters and the converter.

A drum washing machine, and a control method and a control apparatus for same are provided. The control method for the drum washing machine comprises the following steps: acquiring an average starting power of a drum in a starting process of the drum; acquiring a load range to which a current load of the drum belongs according to the average starting power; and setting a weighing protection velocity fluctuation threshold according to the load range to which the current load of the drum belongs. A value of the current load is obtained by using a correspondence between load with different weights and average starting powers. A weighing protection velocity fluctuation threshold is set according to the value of the current load to avoid the collision with the drum and non-dehydration in case of only one piece of clothing.

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 basket speed sensor monitors the speed of the wash basket and a camera assembly is mounted within the wash tub for taking images of the load of clothes during and/or after a wash or rinse cycle. A controller determines the basket speed, adjusts a frame rate of the camera assembly to match the basket speed, obtains a still image from the camera assembly, analyzes the image using a machine learning image recognition process to determine a remaining moisture content (RMC) of the load of clothes, and adjusts at least one operating parameter of the washing machine appliance based on the remaining moisture content, e.g., such as ending the drain cycle when a target RMC is reached.