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:
Jan. 06, 2026

Filed:

Mar. 29, 2021
Applicant:

Krones Ag, Neutraubling, DE;

Inventors:

Alexander Hewicker, Woerth an der Donau, DE;

Anton Niedermeier, Offenstetten, DE;

Herbert Kolb, Hausen, DE;

Assignee:

KRONES AG, Neutraubling, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/00 (2022.01); G01N 21/88 (2006.01); G01N 21/90 (2006.01); G06T 7/00 (2017.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01);
U.S. Cl.
CPC ...
G01N 21/9036 (2013.01); G01N 21/8851 (2013.01); G01N 21/90 (2013.01); G06T 7/0004 (2013.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/7747 (2022.01); G06V 10/776 (2022.01); G01N 2021/888 (2013.01); G06T 2207/20081 (2013.01);
Abstract

A method for optically inspecting containers in a drinks processing system, wherein the containers are transported as a container mass flow using a transporter and captured as camera images by an inspection unit arranged in the drinks processing system, and wherein the camera images are inspected for faults by a first evaluation unit using a conventional image processing method, wherein the camera images with faulty containers are classified as fault images and the faults are correspondingly assigned to the fault images as fault markings, wherein the camera images with containers considered to be good quality are classified as fault-free images, the fault images, the fault markings and the fault-free images are compiled as a specific training data set, and wherein, using the specific training data set, a second evaluation unit is trained in situ with an image processing method working on the basis of artificial intelligence.


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