How intelligent video analysis technology use for Network HD Surveillance System

With the rapid development of video surveillance technology, high-definition  replace SD monitoring and analysis capabilities with intelligent network video surveillance replace single-function analog video surveillance, it has become an irreversible trend. Market research firm IHS analysis report shows that in 2014, the network camera shipments for the first time more than analog cameras; expects 2018 webcam will be shipped over 74 million, the market size of more than $ 10 billion, China most rapid growth in the market.

In the security monitoring market, formerly analog cameras occupy the mainstream market, and now there are more and more IP cameras appear, they will become increasingly strong connectivity and intelligence are growing, including intelligent gateway, after and back-end equipment. There are a lot of high-definition using the webcam, the relevant data, it is estimated that by 2018, the network camera shipments will reach 124 million units in 2017 is expected to generate daily data of these cameras will reach 859TB. Future data to be processed will be more and more, it must be better solutions manage, store the data. As it involves a variety of video analysis, therefore, the function of video analysis, decoding, encoding and transcoding, and other integration, and cloud computing, which will be very important area.

There is no doubt that with the gradual trend from video networking, video monitor as the core of the security industry is toward higher clearance, the direction of the rapid evolution of smarter, big data.

Big Data Intelligence struck new technology upgrade

Over the past few years, the security industry has experienced high-definition network and the development of the security industry is now being rapidly converted to intelligence and big data. Demand from the end user point of view, the needs of users in recent years is also clearly seen from the past to the present to understand it from the past for the application of the system is to store the entire video, playback, and now a variety of video-based content understanding application.

With the advent of the era of security, video data showing explosive growth, not only for the storage of data has brought pressure, but also to analyze the data put forward higher requirements. At the same time, a lot of useless information video cause serious pollution, making it difficult to extract clues, and caused a serious waste of bandwidth and storage resources. Therefore, the analysis efficiency is essential to obtain useful information. The traditional simple intelligent analysis capabilities, as well as the algorithm which leads to isolation, inefficient operation and other issues can not meet customer demand for timeliness.

In fact, the traditional simple intelligent analysis does not appear at all intelligent in the true sense. This is mainly because of two reasons, one is not allowed to analyze; the second is slow analysis. Now we talk about intelligence, that is the first function, and the function is the algorithm behind. In fact, not only intelligent algorithms, but also have an open architecture, in addition, also make full use of CPU and GPU resources, resources consumed by different algorithms intelligently formulated to ensure that at all between the server cluster applications can maintain relatively reasonable allocation