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:
Jul. 01, 2025

Filed:

Feb. 15, 2022
Applicant:

Levi Strauss & Co., San Francisco, CA (US);

Inventors:

Debdulal Mahanty, Fremont, CA (US);

Christopher Schultz, Boston, MA (US);

Jennifer Schultz, Boston, MA (US);

Benjamin Bell, San Francisco, CA (US);

Assignee:

Levi Strauss & Co., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
D06B 11/00 (2006.01); A41B 1/08 (2006.01); A41D 1/02 (2006.01); A41D 1/04 (2006.01); A41D 1/089 (2018.01); A41D 1/14 (2006.01); A41D 3/00 (2006.01); A41D 27/00 (2006.01); A41D 27/08 (2006.01); A41H 43/00 (2006.01); B23K 26/36 (2014.01); D03D 1/00 (2006.01); D03D 15/43 (2021.01); D06C 23/02 (2006.01); D06M 10/00 (2006.01); D06P 5/15 (2006.01); D06P 5/20 (2006.01); G06F 18/214 (2023.01); G06N 3/00 (2023.01); G06N 3/02 (2006.01); G06N 3/045 (2023.01); G06N 3/088 (2023.01); A41D 1/06 (2006.01); D06P 1/22 (2006.01);
U.S. Cl.
CPC ...
D06B 11/0096 (2013.01); A41B 1/08 (2013.01); A41D 1/02 (2013.01); A41D 1/04 (2013.01); A41D 1/089 (2018.01); A41D 1/14 (2013.01); A41D 3/00 (2013.01); A41D 27/00 (2013.01); A41D 27/08 (2013.01); A41H 43/00 (2013.01); B23K 26/36 (2013.01); D03D 1/00 (2013.01); D03D 15/43 (2021.01); D06C 23/02 (2013.01); D06M 10/00 (2013.01); D06M 10/005 (2013.01); D06P 5/15 (2013.01); D06P 5/2011 (2013.01); G06F 18/214 (2023.01); G06N 3/002 (2013.01); G06N 3/02 (2013.01); G06N 3/045 (2023.01); G06N 3/088 (2013.01); A41B 2500/20 (2013.01); A41D 1/06 (2013.01); A41D 2500/20 (2013.01); D06P 1/228 (2013.01); D10B 2501/04 (2013.01);
Abstract

Software and lasers are used in finishing apparel to produce a desired wear pattern or other design. A technique includes using machine learning to create or extract a laser input file for wear pattern from an existing garment. Machine learning can be by a generative adversarial network, having generative and discriminative neural nets. The generative adversarial network is trained and then used to create a model. This model is used generate the laser input file from an image of the existing garment with the finishing pattern. With this laser input file, a laser can re-create the wear pattern from the existing garment onto a new garment.


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