A laundry treating appliance having a tub, rotatable drum, at least one transmitter coil, at least one ring shaped housing on the drum perimeter and having an annular channel therein and at least one balancing unit disposed in the channel. The balancing unit has a receiver coil configured to receive wireless power from the transmitter coil and an actuator powered by the receiver coil, a sensing element to detect a position of the balancing unit in the housing, a balancing control unit configured to control the positioning of the balancing unit by driving the transmitter coil to send power to the receiver coil to operate the actuator on a friction force element to change the friction between the housing and the balancing unit.

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.

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.

Provided are a method and an apparatus for analyzing a vibration of a deep-learning based washing machine. In the method for analyzing a vibration of a deep-learning based washing machine according to an embodiment of the present invention, a washing tub of the washing machine includes a specific shape pattern, an artificial neural network model is learned from a video image obtained by photographing the shape pattern through a camera and a vibration value sensed through the vibration sensor, and thus, by using the artificial neural network model, it is possible to predict a vibration value of the washing machine using the camera of the washing machine even without a vibration sensor. According to the present invention, a smart washing machine without the vibration sensor such as 6-axis gyro sensor can be implemented. The AI device of the present invention can be associated with an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, and a device related to a 5G service.

A washing machine and method for operating a washing machine having a suds container for holding washing liquid, a non-ribbed drum provided with stamped portions rotatably mounted in the suds container for holding laundry, a motor for driving the drum, and a control device. During rotation of the drum in a subcritical rotational speed range, the method includes sampling a variable related to the drum or the motor over a predetermined period of time to determine time signals of the variable, executing a frequency analysis of the time signal of the variable to determine frequency components of the variable in a predetermined frequency range, summing the frequency components at predetermined frequencies of the predetermined frequency range, and detecting, depending on the sum of the summed up frequency components, whether a loading situation where laundry is sliding in the drum is present.

A washing machine and method for operating a washing machine having a suds container for holding washing liquid, a non-ribbed drum provided with stamped portions rotatably mounted in the suds container for holding laundry, a motor for driving the drum, and a control device. During rotation of the drum in a subcritical rotational speed range, the method includes sampling a variable related to the drum or the motor over a predetermined period of time to determine time signals of the variable, executing a frequency analysis of the time signal of the variable to determine frequency components of the variable in a predetermined frequency range, summing the frequency components at predetermined frequencies of the predetermined frequency range, and detecting, depending on the sum of the summed up frequency components, whether a loading situation where laundry is sliding in the drum is present.

A laundry appliance includes a camera assembly mounted within view of a chamber configured for receiving a load of clothes. A controller is operably coupled to the camera assembly for waking the camera only when certain conditions occur. Specifically, the controller is configured to detect an activity trigger indicative of interaction with the laundry appliance, obtain one or more images of the chamber using the camera assembly in response to detecting the activity trigger, and analyze the one or more images using a machine learning image recognition process to identify the occurrence of a predetermined condition or event.

A laundry appliance includes a camera assembly mounted within view of a chamber configured for receiving a load of clothes. A controller is operably coupled to the camera assembly for waking the camera only when certain conditions occur. Specifically, the controller is configured to detect an activity trigger indicative of interaction with the laundry appliance, obtain one or more images of the chamber using the camera assembly in response to detecting the activity trigger, and analyze the one or more images using a machine learning image recognition process to identify the occurrence of a predetermined condition or event.

A laundry apparatus includes a tub, a drum, a control unit, a motor, and a dynamic balancing assembly. The drum is positioned within a fluid containment envelope of the tub and rotatable relative to the tub about a primary rotation axis. The motor is coupled to the tub and operatively coupled to the drum to cause rotation of the drum. The dynamic balancing assembly includes an orbital balancing passage arranged concentrically around the motor, a first counterweight device, and a second counterweight device. The first and second counterweight devices are positioned within the orbital balancing passage and are responsive to the control unit to move the first and second counterweight devices along the orbital balancing passage to adjust an angular position of the first and second counterweight devices. A cross-sectional plane passes through the dynamic balancing assembly, the motor, and the fluid containment envelope of the tub.

A laundry apparatus includes a tub, a drum, a control unit, a motor, and a dynamic balancing assembly. The drum is positioned within a fluid containment envelope of the tub and rotatable relative to the tub about a primary rotation axis. The motor is coupled to the tub and operatively coupled to the drum to cause rotation of the drum. The dynamic balancing assembly includes an orbital balancing passage arranged concentrically around the motor, a first counterweight device, and a second counterweight device. The first and second counterweight devices are positioned within the orbital balancing passage and are responsive to the control unit to move the first and second counterweight devices along the orbital balancing passage to adjust an angular position of the first and second counterweight devices. A cross-sectional plane passes through the dynamic balancing assembly, the motor, and the fluid containment envelope of the tub.