December 20206 MANUFACTURINGTECHNOLOGYINSIGHTSWith Industry 4.0 foreseeing a greater reliance on machine learning, machine vision technology plays an important role in capturing the physical world and transforming it into networked, digital data. This data can be analyzed and processed in real-time to improve productivity, reduce waste, and maintain quality standards, allowing businesses to boost operational efficiency in a cycle of continuous improvement. In fact, businesses report as much as 10-12 percent gains in areas like manufacturing output, factory utilization, and labour productivity after they invested in smart factory initiatives like machine vision. Manufacturing firms that are already utilizing 3D machine vision are unlocking opportunities to a better profit margin while their non-adoptee competitors are falling behind. Furthermore, machine vision, in combination with AI, is shaping the future of production and manufacturing. Deep learning is providing faster, cheaper, and superior automation for inspection practices; most inspection processes take place at regular intervals, making automation ideal for the application. Machine Vision, integrated with deep learning, goes beyond human visual acuity. It allows systems to analyze complex surface and cosmetic defects, scratches, or dents on parts that are turned, brushed, or shiny. Besides, deep learning, in combination with machine vision, reduces product waste, and increases productivity. The essence of the smart factory of the future is to optimize operations using big data analytics based on the feedback from different types of sensors that are monitoring the process. These, of course, will include simple and smart vision sensors as well as more sophisticated vision subsystems or systems. In this edition of Manufacturing Technology Insights, we bring you the story of some of the most successful machine vision solution providers that are leveraging innovative technologies to facilitate the best outcomes for their clients. This edition also offers a combination of thought leadership from subject matter experts with real-life stories on fostering robust partnerships and exclusive insights from CXOs. We hope this edition will provide you with the right assistance in choosing the partner that best fits your manufacturing requirements.Let us know your thoughts!Driving the Future of ManufacturingEditorialLaura DavisEditor-in-ChiefManufacturing Technology InsightsWrite to useditor@manufacturingtechnologyinsights.comCopyright © 2020 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 DECEMBER - 07 - 2020, Vol 06 - Issue 38 (ISSN 2644-2493) Published by ValleyMedia, Inc. To subscribe to Manufacturing Technology InsightsVisit www.manufacturingtechnologyinsights.com Editor-in-ChiefLaura DavisEditorial StaffSalesVisualizerChris LynnAnnie Mathewsannie@manufacturingtechnologyinsights.comAva Gracia Peter ThomasRose DcruzAaron Paul*Some of the Insights are based on the interviews with respective CIOs and CXOs to our editorial staff
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