As a direct application area of ​​big data security, with the generation of a large amount of data, it is gradually used to build a safe city, especially in the field of Digital Security Surveillance (DSS), which is mainly characterized by video surveillance. There are countless high-definition cameras in the cities we live in, involving public security monitoring, command and communication, investigation and resolution, standard enforcement, social services, etc. Video access scales range from thousands to hundreds of thousands, generating massive amounts of data every day. Complex data is extremely analytical.
At the beginning of 2013, in order to arrest a fugitive suspect, the Nanjing police mobilized two thousand police forces. Because all the cameras were not connected to the Internet, they could only bypass the various communities, police stations and buildings to copy the data. At that time, the entire Nanjing store could buy the storage. Almost all equipment was bought by the police. This case shows that the first data needs to be networked, the second largest data must be stored, and the third largest data must be analyzed and mined to be valuable.
The process of building a safe city is accompanied by a large amount of data. From analog to digital, from SD to HD, from DVR to NVR, from video surveillance to the Internet of Things, the big data wave in the security industry has hit. Advanced, comprehensive big data solutions should cover computing, networking, storage, security, and management platforms to unstructured, fragmented data that is relatively manageable and available to unlock its value.
Data will increase 44 times in the next decade, 80% of which are unstructured data. The prediction from the China Internet Society also shows that from mobile communication records, interactive data of social networks, to video surveillance, environmental monitoring. Data, the salient features of these data are massive, diverse, and fast. They are not as easy to manage and analyze as traditional database data, but they also place higher demands on the entire IT industry.
Intel Big Data Solution, Layout Smart Security
Intel's philosophy is to fully implement data mining, analysis, management and transmission in the end-to-end security industry. Its comprehensive big data solutions cover computing, networking, storage, security and management platforms to meet the diverse needs of the security industry. . The computing platform includes entry-level Atom, Core processor, and high-performance Xeon processor; in the network field, Intel has Gigabit, 10 Gigabit network card product line; as a key partner of Hadoop, Intel provides Hadoop distribution Providing flexible support for the storage and processing of massive amounts of data, partners can more easily integrate their innovations on this open platform; by acquiring McAfee, the world's largest professional security technology company, Intel is able to provide many reliable Security solutions; Intel's NM node management can help reduce energy consumption in terms of back office management and services.
These Intel architecture-based technologies are not only widely used in back-end computing systems and development systems, but also play a huge role in DSS front-end and edge devices. The front end is a large number of terminal devices based on the X86 architecture. There are access servers at the edge of the network, and the storage server and application server analyze in the background. Massive data is managed through a distributed file system, shaping, analyzing, and finally establishing a real-time database, transforming unstructured and fragmented data into relatively manageable and usable, and then mining its value.
This end-to-end security solution not only helps DSS device developers shorten product development and time to market, but also reduces development costs. At the same time, powerful computing performance and open platform based on Internet applications further accelerate the security industry's digitalization and high definition. , the pace of development of intelligent and networked.
The application of big data security in the field of intelligent transportation
There are some different views in the field of intelligent security: some people think that intelligence should move forward, such as intelligent analysis through the camera; some people think that it is to move to the edge, that is, to analyze on the NVR, DVR edge server; I think it should be placed in the background because the front end is economical and reliable. In fact, on these three nodes, Intel believes that smart applications can be implemented.
Taking intelligent transportation as an example, whether it is an abstract image or a video, there are a lot of elements that are repeated and meaningless. Extracting valuable elements and transmitting them to the background can greatly reduce the bandwidth pressure, network and background overhead. According to IHS forecasts, by the end of 2017, the transportation system produced 457 PB of video raw data per day. If we extract data through real-time video analytics, the amount of data can be reduced by 60%, and the bandwidth and back-end storage capacity issues can be solved. More importantly, in addition to the license plate, these elements also include personal characteristics that provide elements for later intelligent analysis, and even some vector of data.
Through the intelligent analysis of video, functions such as snap retrograde, red light, license plate recognition, and traffic statistics can be realized. Video intelligence analysis is not advanced. The difficulty is how to integrate it with embedded devices to write, compile, and tune. As the X86 architecture enters the security industry, these things become easier. In June of this year, Intel released the fourth-generation Intel Core processor series, which has significantly upgraded the graphics (GPU) function, improved computing performance and energy consumption, and is suitable for connected, managed and secure intelligent systems. In the digital monitoring environment. Inside this GPU, Intel provides a media software development kit (media SDK) to help mobilize graphics performance. When the GPU's hardware performance and hardware acceleration processing are all mobilized, the CPU can focus on a large number of complex operations. In addition, the media SDK can help engineers develop relevant intelligent analysis software for modular processing. Although the Intel platform is evolving, applications based on the SDK can be easily reused. Not only can the software code be easily reused, but also many open source code can be found on the Internet to save costs.
Work together with the ecosystem to help build a safe city
In the field of DSS, Intel has worked closely with ecosystem partners such as accessories, middleware manufacturers, system integrators, and solution providers to successfully serve major security projects such as the Beijing Olympics, Shanghai World Expo, Guangzhou Asian Games, and Shenzhen Universiade. For example, Bokang Intelligent Network Technology, Hikvision, Dongfang Netpower, North China Industrial Control, Kyushu Chuangguan, EVOC, China Security and many other security companies have cooperated with Intel to launch a variety of personalization based on Intel architecture. Intelligent digital surveillance solution.
As the largest X86 system ODM manufacturer in China, Shenzhen Zhiwei Intelligent Technology Development Co., Ltd. (JWIPC) has completed the entire industrial chain layout of embedded systems under the X86 architecture, including the intelligent security field. JWIPC hopes to copy the system organization model of “Data Center+Large Network†to areas other than IT. The primary application is security. Its security NVR series based on Atom, Core and Xeon processors not only has the first-mover advantage of new technology, but also differentiates and customizes development capabilities. Although it entered the security industry soon, JWIPC quickly gained a foothold in the industry with its NVR products, meeting the demand for high-definition and intelligent products in the security market.
The wave of big data in the security industry has already hit, and the application of IT technology in the security industry will completely change the traditional pattern. Intel is committed to working with partners to help build China's “safe city†and create a better future for Chinese cities.
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