Three challenges facing large data application in video surveillance

Take a domestic province for example, public video surveillance has exceeded the 100多万个 camera, the total volume of nearly 4 million, to estimate that the number of cameras in the country is not less than 40 million, an investment bank reported that the industry is still increasing by 20% per annum, the industry leader of the company's 12 annual report revealed sales volume of 5.7 million sets ( With front and rear end), increased by 37%. The other figure is staggering, with the number of cameras in the UK reaching 1:15 per capita. Roughly the world has at least 100 million cameras in the corner quietly watching. What should be done with all the data from the camera?

In the 2012 the world added 2.8ZB of data, equivalent to 3 billion TB. If the video data is stored, the data will double. If this data is stored, it will be super large data. Assuming that all cameras are switched to 1080P, the amount of data per day is 64G, the annual data volume is 23T, the world will produce 2.3 billion t of video data every year.

3721.html ">2014 years, Baidu, Tencent, Ali and other large internet companies for their own platform users to provide data analysis business. Domestic financial, environmental protection, transportation, medical and other industries data analysis application has gradually begun. Video monitoring is becoming more and more dependent on large data, and the video data technology with higher storage capacity, more accurate detection and recognition and clearer video image. This year is the big data of the "Landing year", and in such a situation, video surveillance will be affected?

Big Data Welcome to "landing Year"

As one of the hottest words in IT industry nowadays, large data has become a hot topic in recent years. On the one hand, the number of Internet users is increasing, on the other hand, the number of networked devices represented by Internet of things and intelligent mobile terminals is increasing rapidly, which makes the network access bandwidth and traffic of per capita increase quickly. According to the relevant agencies, the global new generation of data increased by 40% a year, that is, the total amount of information can be doubled every two years.

National Gold Securities Research report that this year will be large data analysis application of the landing year, especially in the enterprise-class area. Baidu, Tencent, Ali and other large internet companies for their own platform users to provide data analysis business. Domestic financial, environmental protection, transportation, medical and other industries data analysis application has gradually begun.

Large data technology is increasingly being relied on by all walks of life. In the domestic capital market, many listed companies have also been eyeing large data in this emerging market, scrambling to invest in the layout.

Xinsheng, vice chairman and secretary General of China Communication Society, said that through the development of these years, large data has entered into the active exploration and application development in China from the speculation period, initially formed the industrial ecology supported by data collection and integration analysis.