In particular, a method performed by one or more devices is disclosed, the method comprising: obtaining an intensity information item representative of a spectral image resulting from a soiling of a textile and/or from at least one part of a textile; determining at least one output variable dependent on the soiling of the textile and/or at least one property of the textile from the intensity information item, wherein the output variable is determined by employing an adaptive evaluation algorithm, in particular an artificial neural network, wherein parameters of the adaptive evaluation algorithm are calibrated based on a plurality of training cases; outputting or triggering outputting of the at least one output variable. Furthermore, a device and a system for performing the subject method is disclosed.

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.

The present invention relates to a clothing processing device which, when using artificial intelligence or an algorithm provided by artificial intelligence, can cause a user to visually recognize same, and an online system comprising same.