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:
Aug. 11, 2026

Filed:

Aug. 16, 2022
Applicants:

Jochen Bönig, Nuremberg, DE;

Konstantin Schmidt, Nuremberg, DE;

Sven Meier, Arzberg, DE;

Inventors:

Jochen Bönig, Nuremberg, DE;

Konstantin Schmidt, Nuremberg, DE;

Sven Meier, Arzberg, DE;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01N 23/18 (2018.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 7/001 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30141 (2013.01); G06T 2207/30152 (2013.01);
Abstract

A computer-implemented method of predicting a quality of a printed circuit board (PCB) assembly includes obtaining production data relating to production of the PCB assembly. The production data is mapped onto a latent vector of a latent space of a trained adaptive algorithm. The trained adaptive algorithm is trained on real X-ray images of PCB assemblies and/or serves for generating X-ray images of PCB assemblies. A subspace of the latent space related to the latent vector is determined. The subspace indicates a quality of the PCB assembly. Alternatively or additionally, an X-ray image of the PCB assembly is generated by the trained adaptive algorithm based on the latent vector in order to determine a quality of the PCB assembly.


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