Abstract: An appliance, a controller, and a method for dispensing fluid are provided. The appliance including a fluid station configured to dispense water, cleaning agent, or a combination thereof, and a signal receiver device configured to receive signals from a user. A controller is operably coupled to the signal receiver device. The controller is configured to detect, via the signal receiver device, a gesture signal corresponding to a desired operating mode of the appliance, and command a function at the washing machine appliance based on the gesture signal.

Abstract: A method of operating a dryer appliance is provided that includes obtaining washer operating parameters from a washing machine appliance that is linked to the dryer appliance and obtaining dryer operating parameters of the dryer appliance. These parameters are transmitted to a remote server along with a user input such as a selected dryness level. The method further includes receiving operating instructions from the remote server and adjusting at least one operating parameter of the dryer appliance based on the operating instructions.

Abstract: A dryer appliance includes a microphone for monitoring sound generated during operation of the dryer appliance and a controller is operably coupled to the microphone. The controller is configured for obtaining a sound signal generated during operation of the dryer appliance and converting the sound signal into a spectrogram that represents a sound frequency and a sound amplitude over time. An artificial intelligence image recognition process is used to analyze the spectrogram to identify one or more sound signatures that are associated with particular operating conditions, and operation of the dryer appliance is adjusted based at least in part on the identification of the sound signature.

Abstract: A method of operating a washing appliance includes obtaining images of a wash chamber using a camera assembly operating at a frame rate equivalent to the basket speed. The one or more images are analyzed, e.g., using a machine learning image recognition process, to determine a cloth coverage ratio of the load of clothes in the wash basket. The cloth coverage ratio is compared to a predetermined coverage threshold for reducing out of balance conditions. Specifically, if the cloth coverage area is greater than the threshold, the wash basket may be ramped up to a hold or plaster speed. By contrast, if the cloth coverage area is less than the threshold, the basket speed may be maintained or lowered to permit the clothes to redistribute before ramping to the hold or plaster speed.

Abstract: 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 camera assembly is used to monitor articles for washing within the wash basket. Specifically, a controller of the washing machine appliance uses the camera assembly to obtain a reference image and one or more test images, which utilize image recognition to assess turn-over of the articles for washing during a given wash cycle. When turn-over performance is inadequate, a controller may adjust one or more operating parameters of the wash cycle to improve performance. Turn-over performance of the wash cycle is determined to be adequate once the image recognition process fails to find adequate correlation between the reference image and the test image a predetermined number of times.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A washing machine appliance includes a camera assembly mounted in view of a wash chamber for obtaining images of the wash chamber. The lens of the camera assembly is positioned adjacent a water outlet of a water dispenser and a controller is configured to facilitate an automated cleaning method for the camera assembly, the method including obtaining one or more images of the wash chamber using the camera assembly, analyzing the one or more images to determine an image quality, determining that the image quality has dropped below a quality threshold, and operating the water dispenser to perform a lens cleaning operation in response to determining that the image quality has dropped below the quality threshold.

Abstract: A method of operating a washing appliance includes obtaining images of a wash chamber using a camera assembly while the wash basket is tumbling a load of clothes positioned therein. The one or more images are analyzed using a machine learning image recognition process to determine a tumble condition of the load of clothes in the wash basket, e.g., whether the clothes are tumbling in the wash basket in a manner that generates suitable mechanical washing action. The motor assembly is then used to adjust a basket speed based at least in part on determining that the tumble condition deviates from a target tumble condition.

Abstract: 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.

Abstract: A method of operating a washing appliance includes obtaining images of a wash chamber using a camera assembly operating at a frame rate equivalent to the basket speed. The one or more images are analyzed, e.g., using a machine learning image recognition process, to determine a cloth coverage ratio of the load of clothes in the wash basket. The cloth coverage ratio is compared to a predetermined coverage threshold for reducing out of balance conditions. Specifically, if the cloth coverage area is greater than the threshold, the wash basket may be ramped up to a hold or plaster speed. By contrast, if the cloth coverage area is less than the threshold, the basket speed may be maintained or lowered to permit the clothes to redistribute before ramping to the hold or plaster speed.

Abstract: A laundry appliance includes a basket that is rotatably mounted within a cabinet and that defines a chamber for receiving a load of clothes. A camera assembly is mounted within the cabinet for taking images of the chamber and a controller obtains an image of the chamber when the basket is empty and not rotating. The image is analyzed using an autoencoder neural network process to determine an image quality and a responsive action is implemented when an image quality drops below a quality threshold.

Abstract: A laundry appliance includes a basket rotatably mounted within a cabinet and defining a chamber configured for receiving a load of clothes, and a camera assembly mounted within the cabinet in view of the chamber. A controller of the laundry appliance implements a method for improving appliance operation based on the load size, the method including obtaining one or more images of the chamber using the camera assembly, estimating a load size of the load of clothes based at least in part on the one or more images, obtaining a start size threshold, determining that the load size exceeds the start size threshold, and commencing an operating cycle in response to determining that the load size exceeds the start size threshold.

Abstract: A laundry appliance includes a basket rotatably mounted within a cabinet and defining a chamber configured for receiving a load of clothes, and a camera assembly mounted within the cabinet in view of the chamber. A controller of the laundry appliance implements a method for detecting living things in the chamber and initiates a responsive action, for example, by disturbing the chamber by adjusting at least one operating parameter of the laundry appliance, obtaining one or more images of the chamber using the camera assembly, and determining that there is movement in the chamber based at least in part on the one or more images using an image processing algorithm and a machine learning image recognition process.

Abstract: 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.

Abstract: A laundry appliance, such as a washing machine or dryer appliance, includes a basket that is rotatably mounted within a tub and that defines a chamber for receiving a load of clothes. A camera assembly is mounted within the tub for taking images of the load of clothes and a controller is operably coupled to the camera assembly for determining that a limited access mode is activated, receiving a start command for an operating cycle, obtaining and transmitting images or a live stream of the chamber to a remote device, and receiving user input related to a responsive action, such as a cycle authorization or operating parameter adjustment.

Abstract: A method of operating a dryer appliance is provided that includes obtaining washer operating parameters from a washing machine appliance that is linked to the dryer appliance and obtaining dryer operating parameters of the dryer appliance. These parameters are transmitted to a remote server along with a user input such as a selected dryness level. The method further includes receiving operating instructions from the remote server and adjusting at least one operating parameter of the dryer appliance based on the operating instructions.

Abstract: 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 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 is operably coupled to the camera for obtaining and analyzing the images using a neural network image recognition process (such as an R-CNN process) to determine a whether the level of suds or bubbles exceeds a suds threshold. If there are too many suds in the wash tub, the controller may implement corrective action, e.g., by decreasing a water temperature, adding more water, or reducing the amount of detergent that is auto-dispensed in a subsequent wash cycle.

Abstract: A dryer appliance includes a microphone for monitoring sound generated during operation of the dryer appliance and a controller is operably coupled to the microphone. The controller is configured for obtaining a sound signal generated during operation of the dryer appliance and converting the sound signal into a spectrogram that represents a sound frequency and a sound amplitude over time. An artificial intelligence image recognition process is used to analyze the spectrogram to identify one or more sound signatures that are associated with particular operating conditions, and operation of the dryer appliance is adjusted based at least in part on the identification of the sound signature.