
Cloud computing promotes video surveillance
With the development of cloud computing and big data in recent years, the storage and intelligent analysis problems in video surveillance services have been solved, and the role of technology promotion is very obvious. This is because video surveillance is more and more widely used in security, transportation, medical, and logistics applications. Massive video image processing requires a corresponding storage and computing platform. Cloud computing and cloud storage are the realization of big data processing. Program. Moreover, video surveillance systems have been closely linked with the Internet of Things and cloud technologies. The three levels of the Internet of Things are sensor monitoring, network, and applications. In the future, video surveillance is an extremely important core node of the Internet of Things. The amount of video information is huge. With the expansion of the global eye scale and the development of high-definition, the massive transmission and storage needs will require more cloud storage, cloud computing, and cloud search technologies, as well as large-scale networking applications.
Through the application of big data processing technology, the global eye video resource is treated as a basic big data video resource. Through the global eye platform, on the one hand, big data processing for video is realized, and on the other hand, the intelligent processing is performed. Data, comprehensive data services on the global eye platform. Finally, by using the Internet of Things technology, various applications can also be carried out.
Cloud computing brings new security changes
For the development of security technology, cloud computing is basically based on simulation, digitalization, networking, and even intelligent development. For the current development orientation, it is from a decentralized, non-networked technology to the integration of the network, the pattern of data centering. Therefore, cloud storage technology is still very advantageous in dealing with this change. Take Pingan City as an example. In the construction process of the current Safe City project, high demands are placed on monitoring and networking. Therefore, many manufacturers have done enough work on network processing capabilities of DVRs, NVRs, or NASs and SANs, and have greatly improved the network work capabilities of various types of devices.
In addition, high-definition video undergoes a different encoding process, it will also have very large storage needs. This is undoubtedly a very big challenge to traditional storage methods. The emergence of monitoring storage cloud can well break the shackles that traditional storage models bring to storage.
This enables effective integration of various types of storage devices in the network, resulting in more powerful storage capabilities than ever before. The linear expansion of performance and capacity is better achieved, thereby making it possible to pursue "mass storage" in the IT field. The benefit that this integration brings to users is that it can reduce the large amount of users' investment in monitoring storage devices and reduce the company's expenditure on security management. And can better achieve the sharing of resources, data transmission efficiency and security capabilities. In short, the application of this technology for the large-scale monitoring of information management is very obvious.
In addition, cloud technology can also be very good for intelligent video analysis. Especially for such a large-scale monitoring system as Safe City. Simple manual analysis can no longer effectively monitor every detection point, so intelligent system analysis plays an irreplaceable role in this management. At present, the drawbacks of restricting the wide application of intelligent analysis are that, apart from the fact that intelligent video analysis technology is not mature enough, the inefficiency is also another major factor.
The current intelligent analysis equipment is mainly installed and controlled at the front-end monitoring point, but the actual effect is not ideal. However, if cloud computing is used, intelligence analysis can be performed at the back end by launching idle nodes in the network, so that more intelligent work returns can be obtained with smaller equipment inputs.
Conclusion:
The use of video cloud services, cloud computing platform, not only the application of large-scale industries, including city-level security services to provide services, but also for traffic management, industry security services, but also can provide better support for individual or family services. Therefore, cloud computing is not only a technology, but also a business model and a new business development model. It can even be said that it is an important channel for digesting the pressure that HD and smart bring to the management backend. Cloud computing, as an important technological basis for security development, paves the way for the development of the security industry.
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