Cyber Security
Deep learning enriches digital video analytics Genetec™ Streamvault™ with an Intel core set for growth in 2020 and beyond
C By Chris Cubbage, CPP, CISA, GAICD, Executive Editor
onsider the world’s technical mega-trends: the proliferation of cloud computing, the cloudification of networks, edge computing with artificial intelligence (AI), and analytical capability. Consider over half of the world’s data was created in the last two years and less than 2 per cent of that data has been analysed. [1] Increased compute demand and diversifying workloads are driving growth and applications of AI, high-performance computing (HPC), multi cloud computing and orchestration, networks, databases, virtualisation and cyber- security. Higher compute performance and lower network latency is overlayed by the biggest trend of them all – the decreasing cost of computing. In just five years, between 2012 and 2017, the cost of storage plummeted 77 per cent and compute costs dropped 56 per cent. While in the same period, computer processing performance increased a whopping 370 per cent. Data processing is rapidly moving from descriptive and diagnostic analytics to predictive analytics, giving foresight; prescriptive analytics, for simulation-driven, improved decision making; and cognitive analytics, with self-learning and automated action capability. The transition from operational to advanced analytics will overcome bandwidth limitations and storage costs by
42 | Australian Cyber Security Magazine
the analytics processing moving to the network edge. This delivers near real time response needs, from what has been a forensic and review application to now more predictive and cognitive application. This shift also creates greater accuracy and addresses privacy concerns, with less data moving around vulnerable networks. For video analytics, systems are now achieving 97 per cent identification accuracy, which is better than any human can sustain in an operations room. AdDigital_EN_Genetec-Steamvault-toparadise_325x325pxHPC technology is giving rise to high performance video systems. The digital video landscape will contribute 82 per cent of all IP traffic by 2021 and security video will naturally be a big part of that. By 2025 deep learning revenue is forecast to be worth $40 billion and growing at 11 per cent CAGR (calendar annual growth rate)[2]. Deep learning enabled video systems and NVRs (network video recorders) have many use cases, such as public surveillance, transport monitoring, crowd monitoring, region of interest detection and intrusion detection. Market verticals are vast; across cities, financial services, robotics and drones, home, retail, and health services. Cloud proliferation is happening and data analytics is a strategic business tool with an ability to create value from
