Haier US Appliance Solutions, Inc.

Seung-Yeong Park

Je Kwon Yoon

JaeHyo Lee

Woong Jeon

Hoyoung Lee

Kyungjun Lee

Khalid Jamal Mashal

Jongdeok Jang

Hyoyeol Maeng

Kyoung-june Yi

Hang Il Ahn

SeJeong Woo

JayHuan Ryu

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 is configured to implement a leftover load detection method including determining that an operating cycle of the laundry appliance has been completed and that a user has removed the load of clothes. A camera then obtains one or more images of the chamber and the images are analyzed to determine whether any articles of clothing remain in the chamber. If the image analysis identifies a leftover article remaining in the chamber, the method includes implementing a responsive action, such as providing a user notification.

Leftover load detection method using image recognition in a laundry appliance

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.

Child detection algorithm for a laundry appliance

An appliance includes a camera for calibrating and determining whether the door of the appliance is in a closed position. A controller is operably coupled to the camera. The controller is configured for obtaining one or more images of the appliance chamber or door. An artificial intelligence image recognition process is used to perform image classification and establish a baseline image to determine whether subsequent closing of the appliance door is successful. In the event of a failure to obtain the baseline image or a determination that the door is not closed, operation of the appliance may be disabled.

Door status verification using a camera and artificial intelligence

A laundry appliance includes a basket rotatably mounted within a cabinet and defining a chamber configured for receiving a load of clothes, a water supply valve for regulating a flow of water into the chamber, and a camera assembly mounted within the cabinet in view of the chamber. A controller is configured to determine that the water supply valve is open to permit the flow of water into the chamber, identify an anticipated fog condition within the chamber based at least in part on the water supply valve being open, obtaining one or more images of the chamber using the camera assembly, analyzing the one or more images of the chamber to determine an actual fog condition in the chamber, and implementing a responsive action if the actual fog condition is different than the anticipated fog condition, e.g., providing a user notification.

Water temperature evaluation method using image recognition in a laundry appliance

A laundry appliance includes a basket rotatably mounted within a cabinet and defining a chamber configured for receiving a load of clothes, a door pivotally mounted to the cabinet for providing selective access to the chamber, and a camera assembly mounted within the cabinet in view of the chamber. A controller is configured to initiate an automatic self-clean cycle, the method comprising determining that the door is closed, obtaining one or more images of the chamber using the camera assembly, determining that there is no load in the chamber based at least in part on the one or more images, determining that a self-clean condition is satisfied, and commencing the self-clean cycle.

Automatic self clean cycle start using artificial intelligence in a laundry appliance

A brewing assembly for a refrigerator appliance includes a dispensing assembly for selectively dispensing a flow of water within a chilled chamber of the refrigerator appliance. A pitcher is removably positioned below the dispensing assembly and includes an upper reservoir for receiving, storing, and slowly distributing the flow of water into a brew module positioned below the upper reservoir and comprising a plurality of canisters for receiving brewing contents and the flow of water to create a brewed beverage. A lower reservoir is positioned below the brew module for receiving the brewed beverage from the plurality of canisters.

Beverage brewing assembly for a refrigerator appliance

A cooking engagement system and methods therefore are provided. The method includes obtaining image data of the cooktop surface and displaying a first user interface at an interactive assembly associated with the appliance. The first user interface displays the image data of the cooktop surface. The method further includes determining that cookware is present on the cooktop surface based on the image data, and displaying a second user interface at the interactive assembly. The second user interface displays an enlarged image of the cookware based on determining that the cookware is present on the cooktop surface.

Cooking engagement system with automatic cooktop monitoring

A washing machine appliance with smart automatic washing functionality is provided. The washing machine automatically senses the amount of articles within a wash chamber defined by the washing machine appliance and runs the wash cycle automatically when the amount of articles within the wash chamber is greater than a minimum load size threshold and less than a maximum load size threshold. Methods for providing such smart automatic washing functionality are also provided.

Smart auto wash cycle for a washing machine appliance

A cooktop appliance includes an electric heating element positioned on a cooktop surface and a controller operably connected thereto. The controller is configured for monitoring a temperature with a temperature sensor, adjusting a power level of the electric heating element based at least in part on the monitored temperature over a first period of time, and deactivating the electric heating element for a second period of time based at least in part on the monitored temperature. The controller is also configured for storing the first period of time, an average power level over the first period of time, and the second period of time in a memory. When the controller detects a disconnection of the temperature sensor, the controller operates the heating element at the stored average power level for the stored first period of time and deactivates the heating element for the stored second period of time.

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Seongnam, South Korea

Seung-Yeong Park