This paper analyzes an image vision methodology suitable for the quality monitoring of the tires assembly process. The proposed architecture integrates a camera system with a laser having the function to control the exact tires position on the platform. The image vision technique provides an automatic tires classification and important information about possible defects by analyzing the three-dimensional (3D) tire features. The proposed model is suitable for Industry 4.0 implementing internet of things -IoT- devices controlling inline the production processes. The proposed results have been developed within the framework of an research industry project.

Inline Image Vision Technique for Tires Industry 4.0: Quality and Defect Monitoring in Tires Assembly

Contuzzi N.
2019

Abstract

This paper analyzes an image vision methodology suitable for the quality monitoring of the tires assembly process. The proposed architecture integrates a camera system with a laser having the function to control the exact tires position on the platform. The image vision technique provides an automatic tires classification and important information about possible defects by analyzing the three-dimensional (3D) tire features. The proposed model is suitable for Industry 4.0 implementing internet of things -IoT- devices controlling inline the production processes. The proposed results have been developed within the framework of an research industry project.
2nd IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2019
978-1-7281-0429-4
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11589/243124
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