Security Business

MAR 2019

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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Page 39 of 109

38 Security Business / / March 2019 learning – especially relating to video analytics. Having been through highly disappointing video analytics hype cycles in the past, it is important to understand how the new combina- tion of AI and video analytics works so well – to avoid missing out on the AI-related business opportunities for RMR services. Why Security Industry AI Decisions are Easier When it comes to AI for video surveil- lance, several factors make the evalua- tions and decisions easier than for AI applications in other industries: 1. Video analytics are visual. James Connor, former Sr. Manager Global Security Systems for Symantec and current CEO of security tech- nology consulting firm N2NSecure, explains: "We can count the people in an image and check the results of a people-counting analytic. We can see whether a bicycle, person or vehicle is correctly recognized. We can com- pare the results of the analytics from multiple vendors by feeding in video clips representing what we want the analytics to process. We can use live video feeds to compare the perfor- mance of competing self-configuring and self-learning analytics. Results evaluation is quick in comparison to other types of AI, where the perfor- mance is not so easily observable." 2. AI is transforming security technology beyond its pro- tective purposes into active sources of business-relevant real-time data. Computer scientist Elaine Rich originally defined AI as "the study of how to make computers do things at which, at the moment, people are better." Today, AI goes beyond human performance to extract valuable business operations infor- mation from camera data and other sensors in real-time, as we have seen recently with retail video analytics. 3. Security technology AI concepts are understandable. Although the underlying AI technol- ogies in video and other IoT ana- lytics are various and complex, the basic way they work is completely understandable to even a non-tech- nical person. Manufacturers will help with this task by providing plain-lan- guage descriptions. 4. The number of AI-savvy people is growing. Companies in many industries are developing and strongly supporting large AI scientist and developer communities, which are providing a wealth of AI-related educational materials and develop- ment tools. Last year's enrollment in university AI courses was about five times that of 2017 – meaning that in addition to receiving support from AI product vendors, integrators will be able to find personnel at univer- sities and in developer communities who are very interested in working on real-world AI applications and related security deployments. 5. High-performance computing for AI is finally available for on-premises deployments. As of just a few years ago, the computing power that deep learning AI needs was only available in cloud data centers; however, Intel, Dell, NVIDIA and oth- ers are now collaboratively developing hardware for high-performance "edge computing." is means processing data from IoT devices – such as cam- eras and other sensors – close to where the data is created instead of making long data transmissions to central cor- porate or cloud data centers. The Security Industry's Advantage Most of the hard work in AI and ana- lytics advancement is being funded and developed by other industries; the security industry's role is one of fine-tuning breakthrough AI results for security applications. e high levels of AI funding referred to earlier has made that feasi- ble – thanks to the release of new tools that security product engineers can harness for AI development. Intel's Neural Compute Stick 2 contains the company's Movidius Myriad VPU (Vision Processing Unit), which enables AI-based software development to be done using traditional PC and laptop computers (Read more on page 40). Cover Story Photo: Intel

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