MARCH 20196 MANUFACTURING TECHNOLOGY INSIGHTS Evolving Dynamics of Industrial Machine Vision 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.MARCH - 25 - 2019MACHINE VISION APAC SPECIALContact Us:Phone:510.230.0395Fax:510-894.8405Email:sales@manufacturingtechnologyinsights.comeditor@manufacturingtechnologyinsights.commarketing@manufacturingtechnologyinsights.com Editor-in-ChiefLaura DavisEditorial StaffSalesVisualizerAR Ramjith Issac GeorgeNicholas Cruz nicholas.cruz@manufacturingtechnologyinsights.comAva Gracia Vinutha DayanandPeter ThomasVivian MurrayTECHNOLOGY INSIGHTSTECHNOLOGY INSIGHTSLaura DavisEditor-in-ChiefManufacturingTechnology InsightsWrite to useditor@manufacturingtechnologyinsights.com*Some of the Insights are based on the interviews with respective CIOs and CXOs to our editorial staffMARCH - 25 - 2019, Vol 05 - Issue 03 Published by ValleyMedia, Inc. To subscribe to ManufacturingTechnology InsightsVisit www.manufacturingtechnologyinsights.com The increasing traction for structural health monitoring and automation in manufacturing has triggered a surging demand for AI and IoT integrated machine vision systems that have found significant application in quality inspection and detection. Currently, Industry 4.0 holds massive opportunities for the machine vision space to proliferate with the latest developments in connected technologies and smart factory initiatives, among others. Today, machine vision has greatly impacted end-user manufacturing industries that have resulted in the development of 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 verticals besides delivering applications such as decoding algorithms, ID code reading, marking quality assessment, verifying text, and inspecting labels more economically. Recently, a hardware platform such as embedded vision, accompanied by deep learning software is gaining momentum in the market and reinforcing the traditional applications of industrial machine vision. The APAC region constituting the majority of emerging economies held the largest market share for industrial machine vision market for the last couple of years and its contribution to the global machine vision space is predicted to skyrocket in the years to follow. In the wake of sea change enveloping the machine vision space, this insightful edition of manufacturing technology insights features some of the prominent players in the APAC region who can unleash the potential of machine vision to the hilt. This special edition provides the much-needed answers and insights in the light of the latest trends impacting the machine vision landscape. Let us know your thoughts
< Page 5 | Page 7 >