June - July 20176 MANUFACTURINGTECHNOLOGYINSIGHTS The chronicle of image processing and machine vision systems dates back to 1950. However, it was only a matter of time before intelligent vision systems soaked up sophistication to outperform humans at recognizing the errors in the manufacturing processes that were often overlooked or classified as irrelevant by human eye. From face and object recognition, traffic flows optimization, food inspection, waste separation and recycling to playing the game of Go, machine vision is embedded in almost everything around us today. With miniaturization of machine vision products, a new generation of high-speed cameras along with advanced and intuitive software and algorithms are assisting the production today, without the touch probe inspection process of robots. Further, with IIoT's momentum, machine vision has secured an integral position as the basic source of information in the smart factory. It is integral to quality control that has evolved into production optimization, allowing flexibility of detecting errors that are slowly creeping in the intermediate stages of production.The advances in machine vision space have been spearheaded by consumer technologies like 3D imaging, which is revolutionizing machine vision by converging vision, robotics, and force-sensing capabilities for complete automated process in manufacturing setting. However, there is a sting in the tail. Despite the depth of details and high expense involved, approaches to capture the third dimension fail to meet the level of accuracy while manufacturing high-precision parts. To counter these concerns, niche industrial players look forward to creating ever greater benefits for users by bringing 3D inspection within the reach for a broader spectrum of manufacturing inspection applications.Although with a pinch of trepidation, the year holds high hopes and looks promising for the expansion of machine vision. The importance of machine vision is going beyond its commercial value as it forays deeper into electronic and automotive equipment manufacturing and assembly, packaging and pharmaceutical industry, along with robotic guidance as the sweet spot for its future development. Predominantly, in the realm of manufacturing, the veritable success story of combining machine vision with hardware and software dates back years. However, the `wait and see' approach in leveraging the power of machine vision might lead to increasing irrelevancy and a fast demise. On that note, Manufacturing Technology Insights has put together this special edition on machine vision, bringing powerful insights into how these technologies can benefit your enterprise. Let us know your thoughts. The Thinking EyeEditorialCopyright © 2017 ValleyMedia, Inc. All rights reserved. Reproduction in whole or part of any text, photography or illustrations without written permission from the publisher is prohibited. The publisher assumes no responsibility for unsolicited manuscripts, photographs or illustrations. Views and opinions expressed in this publication are not necessarily those of the magazine and accordingly, no liability is assumed by the publisher thereof.JUNE - JULY 2017MACHINE VISION SPECIALMailing AddressValleyMedia, Inc. 44790 S. Grimmer Blvd Suite 202, Fremont, CA 94538T:510.936.8381, F:510-894.8405 June - July 2017, Vol 03- Issue 04 Published by ValleyMedia, Inc. To subscribe to Manufacturing Technology InsightsVisit www.manufacturingtechinologysights.com Editor-in-ChiefLaura DavisEditorial StaffSalesVisualizerMichael WilliamsLawrence Tse lawrence@manufacturingtechnologyinsights.comT:510.402.1464Ava Gracia Kyle SummersPeter ThomasVivian MurrayTECHNOLOGY INSIGHTSTECHNOLOGY INSIGHTSLaura DavisEditor-in-ChiefManufacturing Technology InsightsWrite to useditor@manufacturingtechnologyinsights.com*Some of the Insights are based on the interviews with respective CIOs and CXOs to our editorial staff
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