| | August 20194VOL 7 · ISSUE 7 - 5 · AUGUST - 2019Printed and published by Alok Chaturvedi on Behalf of Bizprint Media Technologies Pvt Ltd and Printed at Precision Fototype Services at Sri Sabari Shopping Complex, 24 Residency Road Bangalore-560025 and Published at No. 124, 2nd Floor, Surya Chambers, Old Airport Road, Murugeshpalya, Bangalore-560017.Copyright © 2019 Bizprint Media Technologies Pvt Ltd, All rights reserved. Re-production 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.EditorialEditorialVideo surveillance systems have played a major role in the public and security sectors for decades, and today they are garnering significant interest from outside of those industries as well. This demand can be attributed to the increased rate of crimes and security threats across the globe, which is driving a continuous growth of the video surveillance market. Reports suggest that the video surveillance market is expected to become worth more than $72 billion by 2022. The video surveillance market growth is expected to increase due to increasing safety concerns, rising urban population, upsurge in infrastructural investment, etc. even though the market faces some challenges such as privacy and security issues, high maintenance cost, etc. Such market potential is also being propelled by recent advances in IT technologies, which in turn, are boosting the intelligence, scalability and accuracy of video surveillance solutions. Owing to the research-and-development investment from chip vendors, software startups and major video surveillance vendors, deep learning video analytic algorithms are taking the shape of fully deployable products, with user-friendly interfaces and scenario-focused solutions. One of the examples being the fact that deep learning face-recognition algorithms are now available in search-engine applications designed to find missing people from video footage. Vendors that market vertically-focused deep learning applications aligned with their own existing portfolios should have good opportunities to grow. Thus, it is evident that the growth in this area is no doubt driven by the maturing of analytics, making them more usable and reliable. Secondly, as sheer numbers of cameras are on the increase, it implies the necessity to invest in more intelligent management systems. Driven by such advancements, the segment is witnessing increasing competition. In this issue, CIOReviewIndia brings to you list of 20 Most Promising Video Surveillance Solution Providers who have made their mark in this domain with their innovative approach. These companies pride themselves on keeping pace with the latest technological advancements in this domain. We hope this issue gives you helpful insight into this market landscape. Sudhakar SinghEditorsudhakar@cioreviewindia.comSurveillance with an AI Addendum Office Editorial queries editor@cioreviewindia.comAdvertising queriessales@cioreviewindia.comBangaloreTel 080 46441103NoidaTel 120 4639300 To subscribeVisit www.cioreviewindia.com/magazineor send email to: subscription@cioreviewindia.comCover price is Rs 150 per issueAshok KumarVirupakshi PattarSales & MarketingAmrit SinghRohit RaghubanshiRavi KalgiSambit SatpathyGroup Art DirectorVP - Sales & MarketingMagendran PerumalCirculation ManagerEditorial TeamSuchita Gonsalves Vinisha PaivaLakshmi GJanifha EvangelineTeja BoncheruvuSamrat PradhanCIOReviewIndiaNo. 124, 2nd Floor, Surya Chambers, Old Airport Road, Murugheshpalya, Bangalore-560017Mohana KrishnanSiva SankarVisualizers PublisherEditorAsst. Managing EditorAlok ChaturvediSudhakar SinghEmmanuel Christi Das
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