Title :
Metrological Characterization of a Vision-Based Measurement System for the Online Inspection of Automotive Rubber Profile
Author :
Anchini, R. ; Di Leo, G. ; Liguori, C. ; Paolillo, A.
Author_Institution :
DIIIE Univ. of Salerno, Fisciano
Abstract :
The paper deals with the metrological characterization of a stereo-vision based measurement system for the inspection of automotive rubber profiles in an industrial plant. The characterization of the class of such measurement systems introduces new challenges, both for the unavailability of reference measurement instruments and for the complexity of the measurement system itself that does not allow a straightforward application of the standard procedures for the uncertainty evaluation. After a description of the measurement system, the characterization is presented in terms of evaluation of the dependencies of systematic effects and uncertainties on known and expected influence quantities. With this aim, several experimental results are reported and commented.
Keywords :
automotive materials; computer vision; measurement uncertainty; rubber; stereo image processing; automotive rubber profile; contact less measurement; machine vision; metrological characterization; online inspection; stereo vision based measurement system; uncertainty evaluation; Automobile manufacture; Automotive engineering; Food manufacturing; Inspection; Manufacturing industries; Manufacturing processes; Measurement standards; Measurement uncertainty; Rubber; Semiconductor device manufacture; Contact-less measurement; automotive profile; image processing; machine vision; uncertainty evaluation;
Conference_Titel :
Advanced Methods for Uncertainty Estimation in Measurement, 2007 IEEE International Workshop on
Conference_Location :
Sardagna
Print_ISBN :
978-1-4244-0933-4
Electronic_ISBN :
978-1-4244-0933-4
DOI :
10.1109/AMUEM.2007.4362583
