Currently intelligent video surveillance implementations , there are two,one is the front-end intelligence analysis;the other is the back-end intelligence analysis.The biggest difference between the two is that the former intelligence analysis approach is to use the front ip camera to calculate the chip itself,while the latter is the use of back-end computer using pure software approach for analysis. However, both the front end or the rear end of the embedded software , to achieve its function are developed through the operation of the core algorithm and analysis of the video signal to complete.The difference between embedded and pure software approach is that only a computing platform is not the same,the former can run to completion and the associated computing core algorithm on the ip camera DSP chip ; while pure software computing platform is a general-purpose computer. Application of the overall construction of the presence of video surveillance systems are still in the extensive expansion stage, many people are more concerned about is still " monitoring coverage ," Intelligent Video Analysis lack of effective mechanisms for product development , application direction of investment is clearly insufficient. Intelligent Video Analysis lack applicability of product development , on the one hand , the majority of users do not carefully sort of security applications , the requirements of the product is not very clear concept . On the other hand , the lack of corporate R & D departments and industry in-depth understanding of the user , resulting in intelligent video analysis product features thousand times , the lack of relevance. While most manufacturers and integrators not fully serve as a bridge between product development and user , intelligent video analysis product features exaggerated behavior abound, seriously damaged the image of intelligent video analytics market products . In addition , the lack of authority of the standard certification system , users can not effectively measure the performance of the product , to control , seriously affect the confidence of users of security intelligent video analysis applications. Intelligent video analysis products expensive price , not close to the people . A set of intelligent video analysis system integration of multiple modes , to detect a variety of behavior must be established within the different algorithms , the need for specialized software algorithm research personnel , and for the installation process by professional and technical personnel need to debug , resulting in high costs .
Intelligent, high-definition , network-based video surveillance is the inevitable trend of development , the emergence of intelligent smart monitoring technology is directly reflected this trend . Intelligent monitoring technology hot, but the individual needs of different industries differences , intelligent monitoring technology has made very high demands. Intelligent monitoring is embedded video server, integrated intelligent behavior recognition algorithms to picture the scene of the behavior of people or vehicles to identify , judge, and under appropriate conditions , an alarm prompts the user . Combined with central management system software , can accomplish more linkage alarm function. Intelligent monitoring technology has not been a large market applications reasons below:
First, the intelligent monitoring technology is no uniform standard . The concept of intelligent surveillance industry currently lacks a standardized definition of the manufacturers of intelligent access to large , some manufacturers believe that the system has the ability to intelligently analyze even the application of smart technology products , and possibly other manufacturers is that " some intelligent monitoring technology " is too simple , or even be called intelligent. Therefore, the industry should provide a uniform standard , the concept of intelligence to make a clear definition. This will help to regulate the industry , and also to achieve the purpose of education customers , allowing users to more clearly understand the application of intelligent monitoring technology ; secondly , market awareness and demand for intelligent monitoring technology positioning needs a process. Currently intelligent monitoring technology in their products exhibited features and customer needs is some distance away , customers tend to overestimate the convenience features intelligent system can provide ; while effectively working intelligent monitoring technology requires higher-end equipment, even the installation of the equipment , there are strict requirements , and many engineering companies in this area is still in the learning stage, which is also caused by the difficulty of promoting the intelligent monitoring technology . In addition , the price of the product is still very expensive , which resulted in the users feel that their inputs and products resulting effect is not proportional ; Third, the accuracy of the intelligent monitoring technology issues . Accurate and intelligent monitoring technology depends on the quality of the video source , currently there is no universal definition monitor , the quality of the video source will not be fully guaranteed ; Fourth, the development of intelligent video surveillance technology is a process. Development of intelligent video surveillance technology is endless, different application environments for intelligent monitoring technology requirements is different , new intelligent monitoring techniques a process monitoring technology as well as traditional markets in the game .
Intelligent monitoring of technological development has encountered some difficulties there are objective reasons for their own reasons, but in the long run , the prospects of development of intelligent video surveillance technology is still very bright, just a temporary bottlenecks , along with the development of intelligent surveillance , eventually usher in a better tomorrow. Manufacturers in the development process, we should focus on improving the performance of intelligent video analysis algorithms based on the actual situation , to improve real-time, system reliability while reducing false positives, false negative probability , while improving cost-effective intelligent video analysis products . More importantly, the sharing of intellectual property rights by the security user , findings , etc. effectively reduce the cost of system construction , and fully mobilize the enthusiasm of the user security , accelerate the promotion of security intelligent video analysis applications .
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