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:

Dec. 31, 2024
Applicant:

Uveye Ltd., Tel Aviv, IL;

Inventors:

Dan Segal, Ra'anana, IL;

Gideon Carmon, Arad, IL;

Ron Shmuel Sudar, Netanya, IL;

Paz Ilan, Tel Aviv, IL;

Assignee:

UVeye Ltd., Tel Aviv, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G01N 21/88 (2006.01);
U.S. Cl.
CPC ...
G01N 21/8851 (2013.01); G06T 7/001 (2013.01); G01N 2021/8874 (2013.01); G01N 2021/8877 (2013.01); G01N 2201/12723 (2013.01); G01N 2201/12753 (2013.01); G01N 2201/12784 (2013.01); G06T 2207/10021 (2013.01); G06T 2207/10028 (2013.01);
Abstract

A method and system for estimating dimensions of vehicle exterior defects using multiple cameras arranged in a predefined configuration. The method comprises receiving images from multiple strategically positioned image sensors including side cameras parallel to a vehicle height axis, diagonal cameras at an inclined angle, and roof top cameras perpendicular to the height axis. An angle to detected defects is computed based on image sensor parameters. Different distance calculations are applied based on vehicle section location, with specialized formulas for windshield, back window, and roof components. Defect sizes are computed by determining multiple defect dimensions, with at least one dimension being adjusted by an angular correction factor derived from the relationship between camera angle and vehicle surface orientation. The system implements comprehensive validation through cross-referencing between cameras, comparison with known specifications, and measurement consistency analysis across multiple frames.


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