A fan system includes a fan having a controllable speed setting or power setting; an optical camera directed outward from the fan and which provides optical data; a controller configured to: communicate with the optical camera, receive the optical data, control rotating directions and the speed setting or the power setting of the fan; and a processor configured to: receive the optical data, identify, using a machine learning model, directions of one or more targets in relation to the fan using the received optical data of the optical camera, access a data bank, determine, using the data bank, the speed setting or the power setting of the fan, and communicate with the controller to control the rotating directions of the fan and the speed setting or power setting of the fan based on the identified directions of one or more targets in relation to the fan.

A washing machine appliance as provided herein, may include a cabinet, a tub, a fluid additive dispenser, and a controller. The tub may be disposed within the cabinet. The fluid additive dispenser may include a housing, a dispenser drawer, a water supply conduit, a conduit water valve, and an optical sensor. The optical sensor may be mounted to a housing and directed at a pod compartment. The controller may be operably coupled to the fluid additive dispenser and may be configured to initiate a washing operation. The washing operation may include receiving an image signal from the optical sensor, determining a pod characteristic within the pod compartment based on the received image signal, and directing water to the pod compartment based on the determined pod characteristic.

A drawer of a clothes treating machine includes a drawer frame that extends in a lengthwise direction and is configured to be inserted into and drawn out form a housing of the clothes treating machine, and a storage container that is configured to be inserted into the drawer frame and to accommodate a clothes treatment agent therein. The storage container includes a check valve that protrudes from a first side of the storage container and is configured to selectively allow the clothes treatment agent to be discharged from the storage container. The drawer frame includes a rear end portion configured to accommodate at least a portion of the check valve therein, and a partition member disposed at the rear end portion and configured to restrict movement of the check valve in an up and down direction.

A detergent storage container for a laundry treating apparatus includes a detergent storage member that defines a storage space configured to store laundry detergent, and a residual amount detecting unit disposed at the detergent storage member and configured to detect a residual amount of laundry detergent stored in the detergent storage member.

An electronic device includes a camera to capture an image, and a processor to input an image acquired by photographing a detergent container into a trained model to acquire detergent information corresponding to the detergent container, and to guide an amount of detergent dispensed based on washing information corresponding to the detergent information. The trained model is a neural network trained using images of a plurality of detergent containers.

A method of supplying and replenishing a laundry dosing system with one or more reservoirs providing stocks of components for laundry includes monitoring consumption of each of the components in the one or more reservoirs; automatically determining when each one or more reservoirs need replenishment from the monitoring; and replenishing one or more components in response to a monitoring result.

The present disclosure concerns a method performed by at least one device, including: acquiring location data indicative of a location of a device which may be placed in a liquid- and/or gas-carrying household appliance; determining treatment chamber data indicative of a conclusion as to whether or not the at least one device is placed in a treatment chamber of the household appliance, the treatment chamber data being determined at least partially based on the acquired location data; and outputting or causing the output of the determined treatment chamber data. Furthermore, the present disclosure concerns a device and a system.

An appliance that includes an additive delivery assembly is provided. The additive delivery assembly includes features that deliver a controlled amount of additive to a chamber of an appliance. Methods for delivering an additive to a chamber of an appliance are also provided.

A clothes treating apparatus includes a cabinet, a steam generator configured to generate steam, and a solution storing container configured to store a solution. The clothes treating apparatus also includes a steam spraying portion that is coupled to the steam generator and that is configured to spray steam and a solution spraying portion that is coupled to the solution storing container and that is configured to spray the solution. The steam spraying portion is configured to spray steam to control air pressure at the outlet of the solution spraying portion.

Provided are a washing machine based on artificial intelligence and a method of controlling a detergent quantity thereof. The method of controlling a detergent quantity of a washing machine based on artificial intelligence (AI) includes obtaining information about a kind of detergent from an external information collector; applying the information about a kind of detergent to a pre-learned artificial neural network (ANN) model; determining a kind of the detergent based on the application result; receiving appropriate detergent quantity information from the server according to the determined kind of detergent; and determining whether a supplied detergent quantity satisfies an appropriate detergent quantity. Thereby, it can be guided to use an appropriate quantity of detergent according to a laundry amount. An AI device may be connected to a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to a 5G service, and the like.