Where is the value of security big data?

The richness and clarity of video information make security data no longer confined to post-examination verification functions, but also gives space for intelligent technology applications. How to use existing video storage data to more efficiently meet customer security needs and even increase customer business development has been a hot topic in the industry in recent years.

From the cloud platform and big data, with the continuous evolution of IT technology, their impact on the security business is also becoming increasingly prominent. Who can benefit from this era of great integration and great development?

Talk about big data has never been able to bypass cloud computing. The IT community has had some different views on the relationship between the two, but overall, it is still considered to be the majority of the two that complement each other. For example, VMware senior vice president Fan Chenggong used a metaphor to describe "big data is a super sports car and cloud computing is a highway." He believes that big data is closer to the competitiveness of the company's core business. Cloud computing is a mode of providing value. It is both a business model and a technology model, enabling enterprises to build infrastructure more efficiently and more flexibly. The application infrastructure, including big data and other applications, can work better.

So, where can Big Data find commercial value? The following four aspects can be tapped into the huge commercial value: First, the customer group is divided and then each group is tailored to take a unique action; second, the use of big data to simulate the reality, to explore new needs and Raise the rate of return on investment; third, increase the level of sharing of big data results among relevant departments, increase the investment return rate of the entire management chain and industrial chain; and fourthly, carry out business model, product and service innovation.

Through the above four levers, big data will greatly promote market share, cost control, investment return, and user experience. Among them, the retail industry is the most obvious benefit. Through data analysis and excavation of transaction process, product use, and purchase behavior, it can be determined in some cases through model simulation to determine which program has the highest return on investment under different variables. According to McKinsey's estimates, if retailers can take full advantage of big data, their operating profit margin will have an average annual growth of 60%, and production efficiency will achieve an average annual growth rate of 0.5% to 1%.

The same is true for the security industry. At present, the typical application of big data is Safe City.

Safe City is an extremely large-scale management system with a comprehensive strength. Its construction goal is to meet the needs of public security management, urban management, traffic management, and emergency command. It also needs to take into account the needs for image monitoring in disaster accident warning and safety production monitoring, and considers the integration of alarm systems, access control systems, and other supporting systems. Linkage with broadcasting system. Therefore, the safe city is destined to be a large data assembly, and it is crucial to its accurate analysis and efficient use.

From the perspective of specific industries, from the "afterwards inspection" to the "pre-warning" has been an urgent need for users of key industries such as public security and transportation for many years, but for a long time, the clarity of video and the basic and analytical techniques Development can not meet the actual needs. With the application of high-definition technology and the rapid development of IT architecture and analysis technology, relying on big data analysis technology can extract valuable information from a large number of unstructured video data, thus making “pre-warning” a reality.

Of course, big data analysis does have its value, but the maturity of related technologies cannot be achieved overnight, especially in the related IT infrastructure and service layer, data organization and management layer, data analysis and discovery layer, decision support and IT service layer. Still need to fully introduce innovative technologies.

At present, from a security point of view, for structured data, data statistics, analysis, and simple automatic processing of such data have generally appeared on platform software products. Such as statistical user login times, device disconnection, etc.; and for the analysis, application, and processing of unstructured data, at present we are more to attribute it to the scope of intelligent analysis. Such as license plate intelligent identification, intelligent behavior analysis (including squatting line, cross-border), face recognition, video classification retrieval, and video enrichment abstract technology. Many of these technologies are already in initial use, and many are still under development. The analysis and processing of such data will also become the core value point of security big data.

As a new application form of information technology, the Internet of Things, mobile Internet, digital home, and social network have all developed rapidly in recent years. The processing and analysis of big data has become the core support for this kind of integration and development. Big data continues to grow with these applications. Cloud computing provides storage and computing support platforms for these massive and diverse big data. It is estimated that the global statistical data storage capacity will be about 1.8ZB in 2011, 2.7ZB in 2012, and 8ZB in 2015. Among them, the growth rate of structured data is about 32%, and non-structured data also To double, about 63%. In turn, the analysis of big data and optimization results are fed back into applications such as the Internet of Things, further improving the experience of use, and creating enormous commercial value, economic value, and social value.