公开(公告)号：US11250554B2

公开(公告)日：2022-02-15

申请号：US17303105

申请日：2021-05-20

Applicant: Tractable Ltd

Inventor： Razvan Ranca ,  Marcel Horstmann ,  Bjorn Mattsson ,  Janto Oellrich ,  Yih Kai Teh ,  Ken Chatfield ,  Franziska Kirschner ,  Rusen Aktas ,  Laurent Decamp ,  Mathieu Ayel ,  Julia Peyre ,  Shaun Trill ,  Crystal Van Oosterom

IPC: G06T7/00 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08 ,  G06Q10/00 ,  G06Q10/08 ,  G06N20/20 ,  G06T7/11 ,  G06N20/00 ,  G06F16/2457 ,  G06Q10/06 ,  G06F40/20 ,  G06K9/00 ,  G06K9/20 ,  G06Q30/02 ,  G06K9/32 ,  G06Q40/08 ,  G06Q30/00

Abstract: The present invention relates to the determination of repair operations for a damaged vehicle. More particularly, the present invention relates to determining repair operations, for example whether to repair or replace parts of a damaged vehicle and associated labour time required, for a damaged vehicle using images of the damage to the vehicle.
Aspects and/or embodiments seek to provide a computer-implemented method for determining repair operations that are required to repair a damaged vehicle, using images of the damage to the damaged vehicle.

公开(公告)号：US11244438B2

公开(公告)日：2022-02-08

申请号：US17303076

申请日：2021-05-19

Applicant: Tractable Ltd

Inventor： Razvan Ranca ,  Marcel Horstmann ,  Bjorn Mattsson ,  Janto Oellrich ,  Yih Kai Teh ,  Ken Chatfield ,  Franziska Kirschner ,  Rusen Aktas ,  Laurent Decamp ,  Mathieu Ayel ,  Julia Peyre ,  Shaun Trill ,  Crystal Van Oosterom

IPC: G06K9/00 ,  G06T7/00 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08 ,  G06Q10/00 ,  G06Q10/08 ,  G06N20/20 ,  G06T7/11 ,  G06N20/00 ,  G06F16/2457 ,  G06Q10/06 ,  G06F40/20 ,  G06K9/20 ,  G06Q30/02 ,  G06K9/32 ,  G06Q40/08 ,  G06Q30/00

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.