September 20196 MANUFACTURINGTECHNOLOGYINSIGHTSWith the advent of digital technology, the world has been introduced to a myriad of marvels in the digital device space. As robotics and artificial intelligence have evolved to become an extension to human cognizance and capabilities, there have been significant developments to perfect their design and attributes and do a finer job. Among one such recent development is Machine Vision. Growing rapidly with a soaring demand for vision guided robotic systems in industries such as pharmaceutical & chemical, food & beverage, automotive, and packaging, MV has become the benchmarks for robotics in quality inspection and automation. Riding this wave of application-oriented machine vision system adoption, MV has taken over the modern robotics and the manufacturing industry. Conventionally, deployed to assist in supervising work environments, MV has been significantly instrumental in robotic guidance, automatic inspection, and process control in industrial applications. Eliminating the human eye error in detecting, observing and examining production activities of Industrial manufacturing, MV is all set to replace manual measurements and inspection. Equipped with the power of exceptional smart cameras and image processing to perform measurements and inspections deployed, MV is slated to gain considerable momentum in the food & packaging, automotive, and pharmaceutical verticals in the coming years. Owing to an increased precision in detection of objects, enhanced analysis, monitoring tolerance, and accurate component measuring, MV is perfectly positioned to reach a wider customer base. Moreover, machine vision has also expanded into end-user industries, especially the food industry which provides several opportunities for the machine vision market to develop application-specific solutions in the areas of grading, sorting, portioning, processing, and quality checking during processing and packaging. The smart camera-based machine vision systems are offering a cost-effective, compact, and flexible technology to these industries besides the applications such as decoding algorithms, ID code reading, marking quality assessment, verifying text, and inspecting labels more economically. Recently, hardware platforms such as embedded vision, accompanied by deep learning software, are gaining momentum in the market while also reinforcing the traditional applications of industrial machine vision. This edition brings you some of the most prominent organizations that specialize in machine vision landscape and have excelled with their service and will be major drivers of the aforementioned trends to mainstream.Let us know your thoughts!An Optical Portal to Future EditorialCopyright © 2019 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.Contact Us:Phone:510.936.8381Fax:510-894.8405Email:sales@manufacturingtechnologyinsights.comeditor@manufacturingtechnologyinsights.commarketing@manufacturingtechnologyinsights.com September - 03 - 2019, Vol 05 - Issue 14 (ISSN 2644-2493) Published by ValleyMedia, Inc. To subscribe to Manufacturing Technology InsightsVisit www.manufacturingtechnologyinsights.com Editor-in-ChiefLaura DavisEditorial StaffSalesVisualizerJaxon JaseMax Wilsonmax.wilson@manufacturingtechnologyinsights.comT:510-556-2402 Ava Gracia Peter ThomasRose DcruzCalvin JamesTECHNOLOGY 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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