APRIL, 20226 The Vision for the Future of Video Surveillance EditorialThere is a rapid advancement in technology, and all the industries and companies are striving to keep pace with the fast-growing world. Among everything, security and safety are the highest priority of every organization and individual present around the globe. The technology will not slow down a bit to improve security. Now there is increased demand for more powerful and reliable Security Cameras for video surveillance systems across every industry whether big or small.This new landscape has also created new types of security challenges. Employees, customers and partners increasingly are working from remote locations, sharing and collaborating through disparate online networks, which may leave data vulnerable to theft. And, as sites are monitored remotely, new public health and safety guidelines are governing how businesses operate.Surveillance and security solutions are increasingly incorporating on-board analytics to deliver data that can drive intelligent protection and monitoring. The role of on-board analytics will continue to expand significantly in 2022 and beyond, as customers combine edge computing and AI to achieve enhanced monitoring and search efficiency.One industry report predicts that the total global edge computing infrastructure will be worth more than US$800 billion by 2028. The use of AI at the edge, especially with analytics based on deep learning algorithms, will form a key element in a range of "smart surveillance" applications. These include object detection and classification as well as the collection of attributes in the form of metadata ­ all while reducing latency and system bandwidth requirements and enabling real-time data gathering and situational monitoring.AI and edge computing will continue to improve the efficiency and effectiveness of network video surveillance systems, applying analytics (object, loitering, virtual line and area crossing, detection to name a few) to monitor every type of area or situation. With AI and edge computing enabled by cameras being used across vertical sectors, users can conduct `pre-emptive detection' and rely less on reactive monitoring ­ increasing safety and efficiency.Let us know your thoughts.Rachel SmithManaging Editoreditor@appliedtechnologyreview.comCopyright © 2022 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.Managing EditorRachel SmithEditorial StaffJoe PhilipLaura PintoMatthew JacobMerlin WatsonDaniel HolmesLeah JaneVisualizerAsher BlakeEmail:sales@appliedtechnologyreview.comeditor@appliedtechnologyreview.commarketing@appliedtechnologyreview.comApril - 25 - 2022 , volume 06 - Issue 03 Published by ValleyMedia Inc. To subscribe to Applied Technology Review Visit www.appliedtechnologyreview.comDisclaimer: *Some of the Insights are based on our interviews with CIOs and CXOs
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