Today, with the rapid development of computer technology, the term cloud computing is familiar to everyone. The concept of "cloud" in the security monitoring industry is not chasing fashion, but because surveillance video is typical unstructured data, and the processing is quite difficult; therefore, in the current environment, if you want to apply this data in depth, it must To use cloud computing, it is the development trend of the entire security monitoring industry.
Cloud computing mode is where the cloud of security must be?
Recently, Alibaba Cloud Computing has reached a strategic cooperation agreement with Hikvision, the largest security company in China. The two parties will jointly promote the application of cloud computing and big data technology in the fields of home monitoring, personal safe life and safe city construction. What is the development of video surveillance?
What is the domestic maturity model of public and private clouds, and where is the security cloud?
Cloud computing consists of three aspects: one is the network operator, the other is the service operator, and the third is the technology provider; the public cloud server is built in addition to telecommunications, because the security manufacturers build two-line cloud servers in the telecommunications rooms of various provinces and cities. It is not difficult to implement a service platform for your own products, so some security manufacturers are also building. However, the current good work in China has not found a few, it must be a small investment, but there are several security companies in China that still have some reliable cloud computing plans, such as Hikvision, Huasan.
Now China's situation, in the construction of public cloud servers (mainly facing family security and personal shop security), is mainly based on operators and several large state-owned enterprises, telecommunications companies have advantages, security companies have little advantage in building, if The big engineering companies didn't follow up and walked out in the industry, and they could only go with these companies in the future.
Commercial users can use the public cloud, security industry projects can not use the public cloud, at most count a large private cloud, private cloud can be understood as their own construction, such as the Ministry of Railways to build their own private cloud, monitoring each line Come together - the cloud, privately owned by the industry, of course, small and medium-sized engineering companies also have opportunities.
The industrialized private cloud is still very necessary. If the public cloud is built by the operator, then the commercial users will let the operators bundle up, and the small and medium-sized engineering companies will have no food in the future. Like the current public security, HD is based on district and county public security, and it is very messy. If a video surveillance of a city public security is taken as an example, the application of cloud computing is to integrate those scattered data into a virtualized, physically isolated, logically connected, and establish a unified computing and storage pool. Uniform computing power allocation, storage allocation, can save a lot of things, at least the room space is saved.
In addition, if security companies want to make better use of cloud computing, they need unified standards and protocols, because major companies have built their own platforms, and their compatibility is not good, which will restrict its development.
What is the point of convergence between cloud computing and video analytics?
The basic characteristics of cloud computing are distributed computing, parallel computing and virtualization. Video resources are used on demand like hydropower. Although the value of video surveillance combined with cloud is high, the front end of the surveillance system only has cameras and encoders, and the middle is the network. To focus on the cloud (centralized storage and processing resources), only storage and video analytics can be used, and the management platform can also be clouded.
Some netizens believe that video analysis and calculation are mostly placed at the front end. Front-end computing can guarantee image fidelity and ensure processing speed. If it is placed in cloud computing, on the one hand, image compression does not have high recognition accuracy; on the other hand, There is no guarantee that the CPU speed of the network transmission computer should be allocated immediately. Moreover, the computing power of the front-end chip is already very high, and it is not necessary to use the cloud for video analysis.
This is actually better in the previous paragraph, but it will be better in terms of utility or in the back-end processing. It is undeniable that due to the limitations of front-end analysis, it is more advantageous in the future based on back-end centralized analysis. In the future application, video analysis will not be processed in the front-end; this involves the level of data mining; the integrated large platform that is intelligently processed in the back-end is king, the back-end centralized storage and processing, centralized backup and video analysis. , intelligent search, future trends for large projects, especially in safe cities; especially for industry
Personally feel that from the current application situation and in the long run, video analysis should still be deployed on the back end. For high real-time requirements, it is not suitable for the backend because the network will have a delay. Whether video analysis puts the front end or the back end or the specific application is best to be combined with front and rear ends.
If the cloud model wants to go further in security, there are still many problems to be solved.
Currently based on the back end, the storage case has been, it is said that the effect is average. Several of the cloud computing companies are discussing, mainly doing real-time analysis and quick retrieval afterwards. Video analysis is mainly real-time processing, and intelligent retrieval is mainly for recording space that can be compressed. At present, one of the main applications of the public security combat is to search for things that would otherwise take a day to see within a few hours. However, the storage pool is large, and retrieval has become a problem. Searching will be a key issue in the future.
Cloud computing is not a solution provided by IT companies. If security companies pay for it, what are the requirements for the monitoring system software platform?
If the cloud is monitored in the future, such as home monitoring or camera of institutions such as banks and prisons, will the company's privacy be guaranteed like a pair of underwear? Security is still very important.
The application of video surveillance to cloud computing has the advantages of high resource utilization, centralized management, dynamic expansion, and dynamic migration. The mode of cloud computing lies in the scale and concentration effect of the back-end, the scale is large, and the cost performance is high. So what is the significance of cloud computing for small-scale projects?
More relevant points and design good text, please look forward to the electronic enthusiast network October "Intelligent Security Special Edition"!
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