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:
Jun. 06, 2023

Filed:

Apr. 23, 2020
Applicant:

Wheelright Limited, Oxfordshire, GB;

Inventors:

Syed Wajahat Ali Shah Kazmi, Oxfordshire, GB;

Alexander Paul Codd, Oxfordshire, GB;

Assignee:

WheelRight Limited, Oxfordshire, GB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 30/18 (2022.01); G06T 7/00 (2017.01); G06V 30/19 (2022.01); G06V 30/146 (2022.01); G06V 30/414 (2022.01); B60C 13/00 (2006.01); G06T 3/00 (2006.01); G06T 5/40 (2006.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 20/10 (2022.01); G06V 20/62 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0004 (2013.01); B60C 13/001 (2013.01); G06T 3/0093 (2013.01); G06T 5/40 (2013.01); G06V 10/806 (2022.01); G06V 10/82 (2022.01); G06V 20/10 (2022.01); G06V 20/63 (2022.01); G06V 30/147 (2022.01); G06V 30/18057 (2022.01); G06V 30/18095 (2022.01); G06V 30/19127 (2022.01); G06V 30/414 (2022.01);
Abstract

A computer implemented method is proposed for classifying one or more embossed and/or engraved markings on a sidewall of a tyre into one or more classes comprising digital image data of the sidewall of the tyre. The method comprises generating a first image channel from a first portion of the digital image data relating to a corresponding first portion of the sidewall of the tyre. Generating the first image channel comprises performing histogram equalisation on the first portion of the digital image data to generate the first image channel. The method further comprises generating a first feature map using the first image channel and applying a first classifier to the first feature map to classify said embossed and/or engraved markings into one or more first classes.


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