A laundry treating appliance for treating laundry according to an automatic cycle of operation includes a cabinet defining a cabinet interior. A drum is rotatable within the cabinet interior, and at least partially defines a treating chamber. The treating chamber has a treating chamber air inlet and a treating chamber air outlet. A drying air circuit is fluidly coupled to the treating chamber air inlet and to the treating chamber air outlet. The laundry treating appliance can include first and second air temperature sensors, at least a first humidity sensor, and a controller operably coupled with the sensors.

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.

A laundry appliance includes a camera for determining the air flow through an appliance during operation. A controller is operably coupled to the camera. The controller is configured for obtaining one or more images of an air flow indicator positioned in the path of the air flow. An artificial intelligence image recognition process is used to perform image classification and determine whether air flow through the appliance is fully or partially obstructed based on the amount of deflection of the air flow indicator. In the event of an air flow obstruction, operation of the laundry appliance is adjusted.

A prediction method includes acquisition step, prediction step, determination step, and processing step. In acquisition step, parameters for a drying operation are acquired. In prediction step, based on the acquired parameters, a drying time required for the drying operation is predicted by a first prediction method. In determination step, when the restart of the drying operation is detected while the drying operation is stopped, whether the first prediction method performed in prediction step is applicable is determined. In processing step, when the first prediction method is determined to be applicable, the first prediction method is continued and when the first prediction method is determined not to be applicable, predetermined processing is performed.

A method for operating a dryer appliance includes, after drying articles within the dryer appliance, receiving data corresponding to an activation signal for an extended tumble from a remote user device, tracking a number of cycles for which the extended tumble is not a default setting for the dryer appliance, and automatically adjusting the extended tumble to the default setting for the dryer appliance or transmitting data corresponding to an extended tumble alert based on the tracked number of cycles.

The invention relates to a laundry treating appliance and method for controlling the operation of the laundry treating appliance by determining the surface area of the laundry based on image data of the laundry.

A drying time prediction method includes: obtaining an operation condition set at the start of operation of a first dryer; obtaining the first actual operation time period of each of at least one first operation performed by the first dryer; obtaining operation finish time information from a learned model by inputting, to the learned model, the operation condition and first actual information that is based on the first actual operation time period, the operation finish time information being related to the finish time of the operation started under the operation condition; and outputting first information based on the operation finish time information.

A method of operating a dryer appliance includes performing a first sensor cycle of the dryer appliance. The first sensor cycle includes rotating a drum of the dryer appliance and activating a heating system of the dryer appliance according to a first set of cycle parameters. The method also includes detecting one or more user interactions with the dryer appliance and inferring from the one or more detected user interactions that the dry performance of the first sensor cycle was unsatisfactory. The method further includes defining a second set of cycle parameters in response to the one or more detected user interactions. The method also includes performing a second sensor dry cycle of the dryer appliance according to the second set of cycle parameters after the first sensor dry cycle.

A wireless sensing device disposed a drum along with laundry to measure humidity in the drum, thereby increasing accuracy in estimation of a degree of dryness, a dryer for determining a degree of dryness of the laundry using the wireless sensing device, and a method of controlling the dryer. The wireless sensing device includes a sensing module including a humidity sensor for measuring humidity in a drum of a dryer into which the wireless sensing module is thrown; a sensor communication module transmitting or receiving data with a main communication module of the dryer through wireless communication; a sensor controller configured to control the sensor communication module to transmit a humidity value corresponding to an output of the sensing module to the main communication module; and a sensor power supplier supplying power to the sensing module, the sensor communication module, and the sensor controller.

An appliance having a drying chamber for performing a drying cycle, a capacitive sensing arrangement within the drying chamber and configured to generate an electric signal indicative of a degree of humidity of a load contained in the drying chamber, and a control unit arranged for carrying out at least one among: estimating a mass of the load; estimating a residual humidity of the load; estimating a residual time to the end of the drying cycle, and detecting an end of the drying cycle according to the electric signal.