Invention Grant
- Patent Title: Tire surface anomaly detection
- Patent Title (中): 轮胎表面异常检测
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Application No.: US13704436Application Date: 2010-06-15
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Publication No.: US09029779B2Publication Date: 2015-05-12
- Inventor: Patrice R. Estor , Julien Matthieu Flament , Verner Steve Nicholson , Anton Felipe Thomas , Gene Edward De Amicis , Frank E. Gramling , David Andrew Judd , Bradley D. Schober
- Applicant: Patrice R. Estor , Julien Matthieu Flament , Verner Steve Nicholson , Anton Felipe Thomas , Gene Edward De Amicis , Frank E. Gramling , David Andrew Judd , Bradley D. Schober
- Applicant Address: CH Granges-Paccot FR Clermont-Ferrand
- Assignee: Michelin Recherche et Technique S.A.,Compagnie Generale des Etablissements Michelin
- Current Assignee: Michelin Recherche et Technique S.A.,Compagnie Generale des Etablissements Michelin
- Current Assignee Address: CH Granges-Paccot FR Clermont-Ferrand
- Agency: Dority & Manning, P.A.
- International Application: PCT/US2010/038634 WO 20100615
- International Announcement: WO2011/159280 WO 20111222
- Main IPC: G01J5/02
- IPC: G01J5/02 ; G01N21/95 ; G06T7/00

Abstract:
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.
Public/Granted literature
- US20130099123A1 TIRE SURFACE ANOMALY DETECTION Public/Granted day:2013-04-25
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