The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 03, 2023

Filed:

Jun. 05, 2018
Applicant:

Henkel Ag & Co. Kgaa, Duesseldorf, DE;

Inventors:

Arnd Kessler, Monheim am Rhein, DE;

Lars Zuechner, Langenfeld, DE;

Peter Schmiedel, Duesseldorf, DE;

Christina Roeleke, Moenchengladbach, DE;

Assignee:

HENKEL AG & CO. KGAA, Duesseldorf, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
D06F 34/18 (2020.01); D06F 103/02 (2020.01); D06F 103/06 (2020.01); D06F 105/10 (2020.01); D06F 105/42 (2020.01); G01J 3/02 (2006.01); G01J 3/28 (2006.01); G01J 3/42 (2006.01); G01N 21/25 (2006.01); G01N 21/27 (2006.01); G06Q 10/0631 (2023.01); D06F 105/58 (2020.01);
U.S. Cl.
CPC ...
D06F 34/18 (2020.02); G01J 3/027 (2013.01); G01J 3/0264 (2013.01); G01J 3/2823 (2013.01); G01J 3/42 (2013.01); G01N 21/255 (2013.01); G01N 21/274 (2013.01); G06Q 10/06316 (2013.01); D06F 2103/02 (2020.02); D06F 2103/06 (2020.02); D06F 2105/10 (2020.02); D06F 2105/42 (2020.02); D06F 2105/58 (2020.02); G01J 2003/2826 (2013.01); G01J 2003/425 (2013.01);
Abstract

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.


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