The present invention relates to home appliances treating the laundry or object received therein using artificial intelligence. Specifically, the home appliance may include an artificial intelligence-based laundry washing machine that recognizes a load based on vision and automatically provides a specific course. The home appliance include a processor configured to: obtain a learning result from a learning operation using image information previously acquired using the camera and treatment information previously acquired from user interface; and process image information currently acquired using the camera with respect to the learning result, thereby to generate and set current treatment information; and control the home appliance to treat the object based on the set current treatment information.

An automated system and method for providing sanitary towels in restaurants and bars includes a tank assembly, a perforated drum assembly, a drive motor and drive gear assembly, a sanitizer solution source, a water source, a heating unit, one or more solenoid valves capable of governing the introduction and release of water and sanitizer solution into and from the tank assembly, one or more sensors capable of measuring solution temperature and sanitizer concentration, and a controller unit having at least one processor and memory. A method of use involves the programmable steps of filling the tank assembly, measuring the concentration of sanitizer, adjusting the concentration of sanitizer, measuring the temperature of the water and sanitizer solution, adjusting the temperature, agitating towels, and draining the water and sanitizer solution after a preferred amount of time.

Disclosed is an artificial intelligence (AI)-based laundry treatment apparatus comprising: a washing module; a camera to acquire an image of laundry; a memory for storing therein a laundry recognition model, wherein the model is trained using a machine learning or deep learning algorithm, wherein the model is configured to recognize laundry information about the laundry; and a processor configured to apply image data from the acquired image to the laundry recognition model to acquire the laundry information.

A method of laundering fabric including: (a) calculating a final amount of water to be added to a final wash bath; (b) calculating the amount of energy needed to heat this final amount of water to a desired final temperature; (c) contacting an amount of water that is less than the final amount water with fabric to form an intermediate wash bath, wherein a detergent composition is contacted to the fabric during the formation of the intermediate wash bath, or prior to the formation of the intermediate wash bath; (d) heating the water that contacts the fabric during (c) with the energy calculated in (b) such that the intermediate wash bath has a temperature above the desired final temperature; (e) washing the fabric in the intermediate wash bath for at least 3 minutes; (f) contacting the remaining amount of water to the intermediate wash bath to form the final wash bath having the desired final temperature; (g) washing the fabric in the final wash bath for at least 5 minutes; and (h) rinsing the fabric.

A washer system, including: a washer having controllable operational parameters; an optical camera which provides optical data at the washer; a controller configured to: communicate with the washer and the optical camera, receive the optical data from the optical camera, and control the operational parameters of the washer. The washer system includes a processor configured to: receive the optical data, identify, using a machine learning model, types of laundry and quantities of the laundry loaded in the washer using received optical data from the optical camera and data sets stored in a data bank, and communicate with the controller to control the washer to operate using one or more specified operational parameters based on the types of laundry and the quantities of laundry.

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 method for determining a cleaning strategy for a soiled textile is provided. The method includes obtaining intensity information representative of a spectral image resulting from soiling of a textile. Further, the method includes determining at least one output variable that is dependent on the composition of the soiling on the basis of the intensity information. Also, the method includes outputting or triggering the output of the at least one output variable. Also provided are corresponding devices for carrying out such a method.

A portable textile treatment device includes a heatable soleplate for contacting and treating the textile, an image sensor and an illumination system. The image sensor has an active surface sensitive and takes an image of the textile, and the illumination system has a light source that illuminates a portion of the textile when the image is being taken. The portable device also includes a control unit configured to execute an algorithm stored in the portable device for obtaining a classification of the textile based on taken image, and based on the classification for controlling at least one operating parameter of the portable textile treatment device. The image sensor and/or light source are oriented with respect to the surface of the heatable soleplate, with an absolute value of an orientation angle being in the range from 15 to 70° C.

The present invention relates to a device for handling laundry and a control method thereof, wherein the device for handling laundry, equipped with a plurality of washing units that wash independently of one another, sets a washing course in order that, when washing is being carried out by a first washing unit and a second washing unit at the same time, a specific operation is not carried out by the first washing unit and the second washing unit at the same time, the washing course being set by combining the washing courses of the plurality of washing units, and thus, operational delays resulting from simultaneous operation are prevented, vibrations are reduced, momentary increases in power consumption are prevented, protecting the device for handling laundry and improving energy consumption efficiency.

The present invention relates to a laundry handling apparatus and a control method therefor, the laundry handling apparatus being provided with multiple laundry units performing laundry independently of each other. If a first laundry unit and a second laundry unit simultaneously perform laundry and if laundry is not collected after any one laundry unit has completed laundering, the laundry handling apparatus operates with added laundry time according to the laundry time of the other laundry unit, thereby preventing the laundry from creasing and being damaged, and changes the laundry time such that the first and second laundry units finish laundering at the same time, thereby having the effect of facilitating laundry collection.