MAY 2018CIOAPPLICATIONS.COM6MAY - 02 - 2018MACHINE VISION AND IMAGING SPECIALCopyright © 2018 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.Volume 03 - 20Published by ValleyMedia, Inc. To subscribe to CIO ApplicationsVisit www.cioapplications.com Graphics & ArtDeclan ColeJohn GouthamEditorialSmarter Vision for Quality AssessmentJoe PhillipManaging Editoreditor@cioapplications.comJoe PhillipThe operations technology environment is becoming "smart," thanks to the onset of new paradigms like the Industry 4.0 that minimize human intervention and emphasize automation in factories. As organizations strive to raise their production standards, state-of-the-art product quality analysis becomes imperative. Essentially, machine vision has proved to be the way forward, driven by technological advancements in the development of lenses, cameras, and image processing systems, providing visibility into features and parameters that are humanly imperceptible. An example of the benefits enabled by machine vision is color pattern recognition; while a human eye can perceive differences in about 30 shades of a given color, a machine can recognize over 250 different shades of the same color.As machine vision gains traction, several companies have come up with niche applications that cater to specific industry needs. 3D image processing and detection of blobs and other patterns in objects are just a few of the features of today's machine vision systems. The solutions also boast analytics capabilities to provide insights into the video and image data captured by cameras to improve quality assessment and decision-making. Newer disruptions in the form of drones for monitoring assets such as pipelines and power transmission lines have also made inroads into the machine vision domain.It comes as no surprise that machine vision has captured the attention of organizations in the manufacturing sector. We, at CIO Applications, have endeavored to highlight some of their achievements, with the intention of helping our readers, comprising C-suite executives and decision-makers. Likewise, we also have industry thought-leaders contributing their valuable insights on a variety of topics.Do let us know your thoughts.Managing EditorJoe PhillipSenior WritersClara MathewLeah JaneRoyce D'SouzaEditorial StaffBen JacksonDaniel HolmesEzra BenjaminJune MichaelTejaswi KR*Some of the Insights are based on the interviews with respective CIOs and CXOs to our editorial staffSalesVincent Georgevincent@cioreview.comEmailsales@cioapplications.comeditor@cioapplications.commarketing@cioapplications.comContact UsPhone: 510.330.5174Fax: 510.894.8405
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