TIRE SURFACE ANOMALY DETECTION

Patent №

US 9,029,779

Granted

2015-05-12

Filed 2012

Owner

MICHELIN RECHERCHE ET TECHNIQUE S.A.

+2 more

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13704436

A tire surface anomaly detection system and method are disclosed. The system and method are generally based on the principle that a tire surface anomaly will have a different heat transfer rate than that of the uniform mass surrounding the tire surface anomaly. Embodiments of the present disclosure apply thermal energy to the surface of a tire and monitor the infrared energy at the surface of the tire to generate one or more infrared images of the surface of the tire. The infrared images are analyzed by an image processing system to determine and locate thermal gradients on the surface of the tire. The presence of a thermal gradient in the infrared images generally indicates the presence of an anomaly in the surface of the tire. In this manner, the present disclosure provides an objective technique for identifying, locating, and classifying tire surface anomalies.

VisionG01N 21/95G01M 17/027G06T 7/0004G06T 2207/10048

AI classification

Vision1.00
Evolutionary computation0.00
Knowledge representation0.00
AI hardware0.00
Natural language0.00
Planning0.00
Machine learning0.00
Speech0.00

Ownership

MICHELIN RECHERCHE ET TECHNIQUE S.A.

assignment · 246420408

SOCIETE DE TECHNOLOGIE MICHELIN

assignment · 246420408

COMPAGNIE GENERALE DES ETABLISSEMENTS MICHELIN

merger · 293830956

Assignors

DEAMICIS, GENE EDWARD, GRAMLING, FRANK E., JUDD, DAVID ANDREW, SCHOBER, BRADLEY D.

On an employer assignment, the assignors are typically the inventors.

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