Security Dealer & Integrator

NOV 2018

Find news and information for the executive corporate security director, CSO, facility manager and assets protection manager on issues of policy, products, incidents, risk management, threat assessments and preparedness.

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26 Security Dealer & Integrator / November 2018 Video Surveillance In this increasingly connected world, where access to real-time information has more or less become a necessity, our thirst for data has never been greater than it is today, and that thirst will only continue to grow. This is especially true in the video surveillance space, where data is being analyzed more than ever. Like the datasphere itself, data analysis is expected to grow substantially in the next few years. IDC estimates the amount of data generated worldwide that is subject to data analysis will grow by a factor of 50 to 5.2 zettabytes by 2025, with the amount of data that is “touched” by cognitive systems growing by a factor of 100 to 1.4 zettabytes in that same time. The ultimate value of data generated by an increasingly wider variety of disparate security and non-security sensors, devices and systems is its ability to be analyzed and distilled into actionable intelligence that can be used to increase overall security and improve operations. This virtual flood of data and the growing requirement for analysis pave the way for a new set of technologies, including machine learning, natural language processing and artificial intelligence, or AI. Collectively these terms are known as cognitive systems, and they are capable of facilitating the shift of data analysis from a relatively uncommon and after-the-fact practice to a more proactive driver of strategic action and decision-making. All this data can be analyzed and used to introduce unique user experiences and mitigate potential risks, opening up a new world of business opportunities. With data from AI-enabled security systems, important tasks can be completed, such as seamless, efficient traffic flow management among connected vehicles to prioritize traffic protocols for emergency vehicles, detecting fraud in real time, or employing facial recognition to improve security at sporting venues or transportation facilities. With the data gathered from AI systems, manufacturers can recognize operational efficiencies in production lines and can make immediate adjustments. Medical staff at hospitals can recognize unusual trends in a patient’s health and take action to significantly reduce mortality. Retailers can better understand their customer’s behavior as well as peak hours for foot traffic. From a security standpoint, AI opens the door for intelligent real-time video analysis that can transition today’s ultra-high-resolution video from a tool used primarily for reactionary, post-incident investigation to a more proactive tool that enables preemptive action. Instead of reviewing countless hours of typically uneventful video, like a car moving in the parking lot, AI enables security departments to identify specific events and triggers in the footage, such as, a blue bike riding south or a grey-haired man walking towards the building with a dog. The ability to capture scene footage with this knowledge and insight enables more accurate alerts and forensics, dramatically reducing the time to act and analyze the video manually. New Frontiers in Surveillance Storage From a video storage perspective, these trends have instigated a shift from primarily write-only applications to constant, ongoing deep learning and analysis that produce unstructured data. Until recently, these systems relied on the processing power of cloud data centers to manage this analysis and heavy workload, but that model was fraught with latency issues. Today, AI is being built into more NVR systems to enable them to process, analyze and recognize patterns on-site in real time at the edge, rather than dealing with the latency associated with transferring data and video off-site for analysis. What has spurred this AI evolution, particularly in edge video surveillance applications, is significantly cheaper Purpose-built hard drives for video surveillance, with technologies to allow both video streaming and AI analysis, ensure the best possible reliability and performance. Data from AI-enabled security systems can be analyzed and used to introduce unique user experiences and mitigate potential risks , opening up a new world of business opportunities.

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