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Paper Count: 32128
Automatic Inspection of Percussion Caps by Means of Combined 2D and 3D Machine Vision Techniques
Abstract:The exhaustive quality control is becoming more and more important when commercializing competitive products in the world's globalized market. Taken this affirmation as an undeniable truth, it becomes critical in certain sector markets that need to offer the highest restrictions in quality terms. One of these examples is the percussion cap mass production, a critical element assembled in firearm ammunition. These elements, built in great quantities at a very high speed, must achieve a minimum tolerance deviation in their fabrication, due to their vital importance in firing the piece of ammunition where they are built in. This paper outlines a machine vision development for the 100% inspection of percussion caps obtaining data from 2D and 3D simultaneous images. The acquisition speed and precision of these images from a metallic reflective piece as a percussion cap, the accuracy of the measures taken from these images and the multiple fabrication errors detected make the main findings of this work.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1073245Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1426
 SICK Ranger E55 Camera. Available: https://www.mysick.com/eCat.aspx?go=Finder&Cat=Row&At=Fa&Cul t=English&Category=Produktfinder
 K.E.Boehnke, "Hierarchical Object Localization for Robotic Bin Picking". Ph.D. dissertation. Faculty of Electronics and Telecommunications. Politehnica University of Timisoara. September 2008.
 Halcon 9.0. Machine Vision Library. MvTec Software Gmbh. Available: http://www.mvtec.com/halcon/version9.0/
 L. Kreutzer, MvTec Software GmbH. "Seeing Clearly: The latest in Machine Vision Software". Photonics Spectra, pp 46-50. July 2009
 R.C. Gonzalez, R.E. Woods. Digital Image Processing, 3rd Edition. Prentice Hall, New York, 2008.
 G.Pajares, J.M. de la Cruz. Visi├│n por Computador: Im├ígenes digitales y aplicaciones, 2nd Edition. Ra-Ma, 2007.
 C.Wöhler. 3D Computer Vision. Efficient Methods and Applications. Elsevier 2009.
 D.Freedman, R.Pisani, R.Purves. Statistics, 4th Edition, W W Norton &Co. Inc, 2007.
 Linear Regression. Wikipedia.org. Available: http://en.wikipedia.org/wiki/Regression_line