Metrological Characterization of a Vision-Based Measurement System for the Online Inspection of Automotive Rubber Profile
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 referenc...
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creator | Anchini, R. Di Leo, G. Liguori, C. Paolillo, A. |
description | 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. |
doi_str_mv | 10.1109/AMUEM.2007.4362583 |
format | Conference Proceeding |
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With this aim, several experimental results are reported and commented.</description><subject>Automobile manufacture</subject><subject>Automotive engineering</subject><subject>automotive profile</subject><subject>Contact-less measurement</subject><subject>Food manufacturing</subject><subject>image processing</subject><subject>Inspection</subject><subject>machine vision</subject><subject>Manufacturing industries</subject><subject>Manufacturing processes</subject><subject>Measurement standards</subject><subject>Measurement uncertainty</subject><subject>Rubber</subject><subject>Semiconductor device manufacture</subject><subject>uncertainty evaluation</subject><isbn>1424409322</isbn><isbn>9781424409327</isbn><isbn>1424409330</isbn><isbn>9781424409334</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFUNtKw0AUXBFBrf0BfdkfSN1L0mweY6haaKio9bWc3Z60K0m27G6F-vUGrDgvM8MwB84QcsvZhHNW3Jf1alZPBGP5JJVTkSl5Rq55KtKUFVKy838jxCUZh_DJBshCZkpdkWON0bvWba2BllY78GAievsN0bqeuoYC_bBh0MkDBNzQGiEcPHbYR_p2DBE72jhP4w7psm9tj3Tehz2av3p5iK5z0X4hfT1ojZ6-eNfYFm_IRQNtwPGJR2T1OHuvnpPF8mlelYtkK2QWk4IJXuQFN6hYk-sMJRfK5MM3U821SmHwHIzWDGXDlRkyoZmSKDdaAQg5Ine_dy0irvfeduCP69NU8gc4K18E</recordid><startdate>200707</startdate><enddate>200707</enddate><creator>Anchini, R.</creator><creator>Di Leo, G.</creator><creator>Liguori, C.</creator><creator>Paolillo, A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200707</creationdate><title>Metrological Characterization of a Vision-Based Measurement System for the Online Inspection of Automotive Rubber Profile</title><author>Anchini, R. ; Di Leo, G. ; Liguori, C. ; Paolillo, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g235t-90219791ce80f7b5e3128c79326b1b84a3121acbb0e3f18c8c72b083e3db8aa23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Automobile manufacture</topic><topic>Automotive engineering</topic><topic>automotive profile</topic><topic>Contact-less measurement</topic><topic>Food manufacturing</topic><topic>image processing</topic><topic>Inspection</topic><topic>machine vision</topic><topic>Manufacturing industries</topic><topic>Manufacturing processes</topic><topic>Measurement standards</topic><topic>Measurement uncertainty</topic><topic>Rubber</topic><topic>Semiconductor device manufacture</topic><topic>uncertainty evaluation</topic><toplevel>online_resources</toplevel><creatorcontrib>Anchini, R.</creatorcontrib><creatorcontrib>Di Leo, G.</creatorcontrib><creatorcontrib>Liguori, C.</creatorcontrib><creatorcontrib>Paolillo, A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Anchini, R.</au><au>Di Leo, G.</au><au>Liguori, C.</au><au>Paolillo, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Metrological Characterization of a Vision-Based Measurement System for the Online Inspection of Automotive Rubber Profile</atitle><btitle>2007 IEEE International Workshop on Advanced Methods for Uncertainty Estimation in Measurement</btitle><stitle>AMUEM</stitle><date>2007-07</date><risdate>2007</risdate><spage>121</spage><epage>126</epage><pages>121-126</pages><isbn>1424409322</isbn><isbn>9781424409327</isbn><eisbn>1424409330</eisbn><eisbn>9781424409334</eisbn><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.</abstract><pub>IEEE</pub><doi>10.1109/AMUEM.2007.4362583</doi><tpages>6</tpages></addata></record> |
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subjects | Automobile manufacture Automotive engineering automotive profile Contact-less measurement Food manufacturing image processing Inspection machine vision Manufacturing industries Manufacturing processes Measurement standards Measurement uncertainty Rubber Semiconductor device manufacture uncertainty evaluation |
title | Metrological Characterization of a Vision-Based Measurement System for the Online Inspection of Automotive Rubber Profile |
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