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:
Feb. 18, 2025

Filed:

Mar. 11, 2022
Applicant:

At&s (Chongqing) Company Limited, Chongqing, CN;

Inventors:

Yong Wang, Chongqing, CN;

Xuebing Wan, Chongqing, CN;

Yanxu Chen, Chongqing, CN;

Yang Chen, Chengdu, CN;

Tao Lin, Chongqing, CN;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G01N 21/95 (2006.01); G01N 35/00 (2006.01); G06T 7/00 (2017.01); G06T 11/00 (2006.01); G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G06T 7/001 (2013.01); G01N 21/95 (2013.01); G01N 35/00584 (2013.01); G06N 20/00 (2019.01); G06T 11/00 (2013.01); G06V 10/764 (2022.01); G06T 2207/10152 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30141 (2013.01); G06V 2201/06 (2022.01);
Abstract

A method for manufacturing a component carrier. The method includes (a) supplying a semifinished or finished component carrier to an automatic or semi-automatic optical inspection device and (b) performing an automatic or semi-automatic optical inspection by capturing a first image with a first illumination; capturing a second image with a second illumination; comparing a data set indicative of the first image and/or the second image with a reference data set; and identifying potential defects; (c) performing a quality classification of the semifinished or finished component carrier by generating a virtual third image indicative of the component carrier under a virtual different third illumination having a third spectral composition different from both the first spectral composition and from the second spectral composition; processing the three images; classifying the potential defects in true defects and false defects; and (d) taking action based on the quality classification. Further described is a system architecture.


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