vie w Alan Bergstein: Group Publisher (603) 891-9447 firstname.lastname@example.org
John Lewis: Editor-in-Chief
James Carroll Jr.: Senior Web Editor
Andrew Wilson: Contributing Editor
+44 7462 476477
Kelli Mylchreest: Art Director
Mari Rodriguez: Production Director
Dan Rodd: Senior Illustrator
Debbie Bouley: Audience Development Manager
Marcella Hanson: Ad Services Manager
Joni Montemagno: Marketing Manager
Vision Systems Design
61 Spit Brook Road, Suite 401
Nashua, NH 03060
Tel: (603) 891-0123
Fax: (603) 891-9328
Robert F. Biolchini: Chairman
Frank T. Lauinger: Vice Chairman
Mark C. Wilmoth: President and
Chief Executive Officer
Jayne A. Gilsinger: Executive Vice President,
Corporate Development and Strategy
Brian Conway: Senior Vice President,
Finance and Chief Financial Officer
Christine A. Shaw: Senior Vice President and
Group Publishing Director
FOR SUBSCRIP TION INQUIRIES
Tel: (847) 559-7330;
Fax: (847) 763-9607;
Vision Systems Design® (ISSN 1089-3709), Volume 22,
No. 4 Vision Systems Design is published 11 times a year
in January, February, March, April, May, June, July/Au-gust, September, October, November, December by Penn Well® Corporation, 1421 S. Sheridan, Tulsa, OK 74112.
Periodicals postage paid at Tulsa, OK 74112 and at additional mailing offices. SUBSCRIPTION PRICES: USA $130
1yr., $190 2 yr., $244 3 yr.; Canada $148 1 yr., $217 2 yr.,
$280 3 yr.; International $160 1 yr., $235 2 yr., $305 3
yr. POSTMASTER: Send address corrections to Vision Systems Design, P.O. Box 3425, Northbrook, IL 60065-3425.
Vision Systems Design is a registered trademark. © Penn Well Corporation 2017. All rights reserved. Reproduction in whole or in part without permission is prohibited.
Permission, however, is granted for employees of corporations licensed under the Annual Authorization Service
offered by the Copyright Clearance Center Inc. (CCC),
222 Rosewood Drive, Danvers, Mass. 01923, or by calling
CCC’s Customer Relations Department at 978-750-8400
prior to copying. We make portions of our subscriber list
available to carefully screened companies that offer products and services that may be important for your work. If
you do not want to receive those offers and/or information via direct mail, please let us know by contacting us
at List Services Vision Systems Design, 61 Spit Brook Road,
Suite 401, Nashua, NH 03060. Printed in the USA. GST No.
126813153. Publications Mail Agreement no. 1421727.
John Lewis, EDITOR-IN-CHIEF
Machine vision improves
quality and process control
Though consistent product quality is a production mandate, achieving it can be
a challenge. As line speeds increase and cycle times decrease, manual inspection has given way to automation using machine vision and image processing
systems that help manufacturers improve production efficiency by reducing waste.
Improved quality and process control are driving demand for new machine vision applications
in discrete manufacturing. Technologies such as 3D laser displacement sensors, as described in
t wo of this month’s Technology Trends articles, are helping manufacturers reduce the associated
cost of defects for suppliers to the automotive industry.
While machine vision has been successfully applied to many end-of-line inspection problems
to improve quality, manufacturers continue to move towards 100% in-line inspection at multiple
points in production to achieve better process control. By catching defects as soon as they occur,
they can avoid adding value to parts which eventually would be scrapped.
In one of the above mentioned articles we cover a 3D vision system that was demonstrated
during VISION 2016 in Stuttgart. The system, developed to measure and inspect pinion gears,
uses no less than five 3D laser displacement sensors. The individual point clouds generated are
combined to take gear measurements well below 1 micron in less than half a minute.
In the other previously referenced article, we cover another 3D imaging application that
replaces error-prone manual inspection by using three laser line triangulation sensors to measure connector pin height, preventing faulty connectors from making it into the supply chain.
Machine vision pays off
Modern digital technology makes it extremely easy for counterfeiters to reproduce fake banknotes.
However, it also can be used to help detect them. In an article on currency security, Ricardo Ribalda demonstrates how open-source soft ware and modular embedded hardware make it possible
to efficiently develop a low-cost system that detects counterfeit banknotes.
While many developers use such open-source software and freely-available image processing
libraries combined with system diagnostic tools and inexpensive modular camera hardware as
an inexpensive means for prototyping machine vision applications, new software packages are
also advancing the role of these tools in industrial applications as well.
In our Product Focus, for example, contributing editor Andy Wilson describes recent developments in image processing software that allow developers to combine both open-source algorithms and commercially-available packages into a single environment, to tailor software solutions that are based on the most effective algorithms. I hope you enjoy this issue.