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. 08, 2022

Filed:

May. 19, 2021
Applicant:

Tractable Ltd, London, GB;

Inventors:

Razvan Ranca, London, GB;

Marcel Horstmann, London, GB;

Bjorn Mattsson, London, GB;

Janto Oellrich, London, GB;

Yih Kai Teh, London, GB;

Ken Chatfield, London, GB;

Franziska Kirschner, London, GB;

Rusen Aktas, London, GB;

Laurent Decamp, London, GB;

Mathieu Ayel, London, GB;

Julia Peyre, London, GB;

Shaun Trill, London, GB;

Crystal Van Oosterom, London, GB;

Assignee:

Tractable Ltd, London, GB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); G06K 9/62 (2022.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06Q 10/00 (2012.01); G06Q 10/08 (2012.01); G06N 20/20 (2019.01); G06T 7/11 (2017.01); G06N 20/00 (2019.01); G06F 16/2457 (2019.01); G06Q 10/06 (2012.01); G06F 40/20 (2020.01); G06K 9/20 (2006.01); G06Q 30/02 (2012.01); G06K 9/32 (2006.01); G06Q 40/08 (2012.01); G06Q 30/00 (2012.01);
U.S. Cl.
CPC ...
G06T 7/0004 (2013.01); G06F 16/24578 (2019.01); G06F 40/20 (2020.01); G06K 9/00664 (2013.01); G06K 9/2054 (2013.01); G06K 9/3241 (2013.01); G06K 9/628 (2013.01); G06K 9/6219 (2013.01); G06K 9/6227 (2013.01); G06K 9/6256 (2013.01); G06K 9/6257 (2013.01); G06K 9/6267 (2013.01); G06K 9/6277 (2013.01); G06K 9/6281 (2013.01); G06N 3/04 (2013.01); G06N 3/049 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); G06Q 10/06313 (2013.01); G06Q 10/0875 (2013.01); G06Q 10/20 (2013.01); G06Q 30/0283 (2013.01); G06T 7/0002 (2013.01); G06T 7/11 (2017.01); G06K 2209/23 (2013.01); G06K 2209/27 (2013.01); G06Q 30/016 (2013.01); G06Q 40/08 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30156 (2013.01); G06T 2207/30164 (2013.01); G06T 2207/30248 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A method of determining, one or more damage states of one or more auxiliary parts of a damaged vehicle, the vehicle comprising a plurality of normalized parts and at least some of the normalized parts further comprising one or more auxiliary parts. The method includes receiving one or more images of the vehicle, using a plurality of classifiers, each determining at least one classification of damage to the vehicle, each said classification being determined for each of a plurality of normalized parts of the vehicle, determining one or more classifications for the plurality of auxiliary parts using one or more trained models, wherein each classification comprises at least one indication of damage to at least one auxiliary part and outputting the determined damage states of the one or more auxiliary parts.


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