Inspection of tire tread defects using image processing and pattern recognition techniques

Penny Chen; Gary D. Shubinsky; Kwan-Hwa Jan; Chien-An Chen; Oliver Sidla; Wolfgang Poelzleitner

doi:10.1117/12.164968

29 November 1993 Inspection of tire tread defects using image processing and pattern recognition techniques

Penny Chen, Gary D. Shubinsky, Kwan-Hwa Jan, Chien-An Chen, Oliver Sidla, Wolfgang Poelzleitner

Proceedings Volume 2063, Vision, Sensors, and Control for Automated Manufacturing Systems; (1993) https://doi.org/10.1117/12.164968
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

Abstract

An image acquisition and processing algorithm for inspection of tire treads has been developed. The tire treads are flat strips of black rubber material used as the main component in retreading automobile tires. These treads have a complex molded design on one side (DESIGN SIDE) and a flat surface on the other side. The inspection of the Design Side of the tread is one of the key operations in the tread fabrication process impacting quality and consistency of the final product. This paper will discuss development of the main optical inspection algorithms utilized in the system design. The algorithms described in this paper were tested in the laboratory prototype of the inspection system and will be implemented in the final production system.

Citation Download Citation

Penny Chen, Gary D. Shubinsky, Kwan-Hwa Jan, Chien-An Chen, Oliver Sidla, and Wolfgang Poelzleitner "Inspection of tire tread defects using image processing and pattern recognition techniques", Proc. SPIE 2063, Vision, Sensors, and Control for Automated Manufacturing Systems, (29 November 1993); https://doi.org/10.1117/12.164968

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