A vision system for the online quality monitoring of industrial manufacturing

Abstract The design of an image based measurement system for the online inspection of electromechanical parts is described. A two-camera architecture is introduced in order to highlight all the required details involved in the measurements. The design takes into account both the interfacing and the real-time issues that assure an effective online operation. The description of the measurement system and the corresponding installation on the production line points out a methodological approach to the design of these kinds of measurement systems. The paper provides details about the algorithms for the localization and the measurement of the required quantities, as well as the calibration procedure and the error correction. Experimental tests for the performance evaluation are presented and discussed in terms of timing and accuracy.

[1]  Robert M. Haralick,et al.  Error propagation in machine vision , 2005, Machine Vision and Applications.

[2]  I. Reid,et al.  Single view metrology , 1999, ICCV 1999.

[3]  Feihong Yu,et al.  Automatic inspection system of surface defects on optical IR-CUT filter based on machine vision , 2014 .

[4]  Antti Lassila,et al.  High-accuracy automatic machine vision based calibration of micrometers , 2007 .

[5]  Antonio Pietrosanto,et al.  Online visual inspection of defects in the assembly of electromechanical parts , 2014, 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.

[6]  Yu Xie,et al.  A physics-based defects model and inspection algorithm for automatic visual inspection , 2014 .

[7]  Alfredo Paolillo,et al.  Metrological Characterization of a Vision-Based Measurement System for the Online Inspection of Automotive Rubber Profile , 2009, IEEE Transactions on Instrumentation and Measurement.

[8]  Giulio Rosati,et al.  On-line dimensional measurement of small components on the eyeglasses assembly line , 2009 .

[9]  Antonio Pietrosanto,et al.  An on-line stereo-vision system for dimensional measurements of rubber extrusions , 2004 .

[10]  Devdas Shetty,et al.  New approach to the inspection of cooling holes in aero-engines , 2009 .

[11]  Giuseppe Acciani,et al.  Application of neural networks in optical inspection and classification of solder joints in surface mount technology , 2006, IEEE Transactions on Industrial Informatics.

[12]  Antonio Pietrosanto,et al.  Standard uncertainty evaluation in image-based measurements , 2004 .