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:
Apr. 28, 2026

Filed:

Apr. 21, 2022
Applicant:

Fameccanica.data S.p.a., San Giovanni Teatino, IT;

Inventor:

Anselmo Cicchitti, San Giovanni Teatino, IT;

Assignee:

Fameccanica.Data S.p.A., San Giovanni Teatino, IT;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B23K 9/127 (2006.01); A61F 13/15 (2006.01); B23K 9/095 (2006.01); B23K 103/00 (2006.01); B29C 65/82 (2006.01); G01N 21/89 (2006.01); G01N 21/892 (2006.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06V 10/44 (2022.01); G06V 10/70 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
B23K 9/127 (2013.01); B23K 9/0953 (2013.01); G06T 7/0004 (2013.01); G06V 10/457 (2022.01); G06V 10/82 (2022.01); G06V 10/87 (2022.01); A61F 13/15739 (2013.01); A61F 13/15772 (2013.01); A61F 2013/1578 (2013.01); B23K 2103/38 (2018.08); B29C 65/82 (2013.01); G01N 21/8914 (2013.01); G01N 21/892 (2013.01); G06N 3/08 (2013.01); G06T 7/11 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30124 (2013.01); G06T 2207/30152 (2013.01);
Abstract

A method of analysing the quality of a welding area of an absorbent sanitary article is disclosed. During a learning step, a plurality of welding operations are performed both with a sufficient quality and with an insufficient quality, and the welding area generated for each welding operation is monitored via a camera. During a training step, the pixel data of the welding areas monitored during the learning step is processed for training a classifier configured to estimate a welding quality as a function of respective pixel data of a respective welding area. Accordingly, during a normal welding operating step, the welding quality may be estimate via the classifier, thereby improving the environmental sustainability of the production process.


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