Title :
Architecture for multi-camera vision system for automated measurement of automotive components
Author :
Goncalves Lins, Romulo ; Kurka, P.R.G.
Author_Institution :
Dept. of Mech. Design - Mech. Eng. Fac., Univ. Estadual of Campinas (UNICAMP), Campinas, Brazil
Abstract :
This paper proposes the architecture of a multi-view cameras system with the purpose of online dimensional measuring of automotive components, specifically crankshafts. The introduction of a measuring vision system in a production line allows the dimensional quality control of all manufactured items, helping to optimize the process. The system consists of six digital cameras, positioned around the object, capturing different perspective images of the product. Processing of the images yields results of precise dimensional measurements of the product. The paper presents the ideas and algorithms used in the proposed measurement system, and virtual images simulation to access its operational and precision characteristics.
Keywords :
automobile industry; automotive components; computer vision; measurement systems; production engineering computing; quality control; shafts; automated measurement; automotive component; crankshaft; digital camera; dimensional measurement; dimensional quality control; measurement system; measuring vision system; multicamera vision system; multiview camera system; online dimensional measuring; production line; virtual image simulation; Cameras; Design automation; Equations; Image reconstruction; Machine vision; Mathematical model; Solid modeling; Vision system; manufacturing automation; systems architecture;
Conference_Titel :
Systems Conference (SysCon), 2013 IEEE International
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-3107-4
DOI :
10.1109/SysCon.2013.6549931