Introduction: As one of the sources of massive data in the information age, security video surveillance has produced huge information data. Especially in recent years, with the rapid development of safe cities, intelligent transportation, intelligent buildings and other industries, large-scale integration and large-scale networking have pushed the security industry into the era of big data.
Big data comes mainly from two aspects: First, the consumption field, such as the large amount of data generated by online shopping and social media applications; the other is from urban infrastructure construction, security is one of them. The process of building a safe city and a smart city is accompanied by the production of large amounts of data, especially digital security monitoring with video surveillance as the main feature.
For the security industry, in the safe city, intelligent traffic management, environmental protection, hazardous chemicals transportation monitoring, food safety monitoring, network connected equipment systems including government agencies, large enterprise workplaces, etc. will most likely be the largest Data resources. With the advancement of smart cities and other projects, surveillance cameras have spread all over the streets, and security monitoring has become increasingly demanding for high-definition, intelligent, networked, and digitized data, and the amount of data naturally continues to increase rapidly.
How to store and transmit the massive monitoring data generated during the operation of a smart city will face significant problems. This is different from the information data. With the coverage and density of video surveillance cameras, the amount of video image data has increased exponentially. How to ensure The secure storage of these data will be an important issue for security companies.
In the video surveillance business, misunderstandings, misses, and late watching are common problems. The playback review of big data monitoring images has brought many physical and psychological challenges to many security monitoring and management personnel. In the retrospection of a large number of manpower-intensive public security cases, it is often heard that "see vomiting" and "seeing dizzy" are helpless and sigh. It can be imagined that the general retail industry, the financial industry, and so on, are more difficult for the playback of video surveillance images. With the advent of big data trends in video surveillance, relying on the human eye to retrieve and view all video image data is not realistic. The use of big data technology to achieve fuzzy query, quick retrieval, and accurate positioning of video images makes it simple to see. At the same time, this poses a challenge to the intelligentization of security.
Due to the large amount of data itself and the constraints of technology, how to achieve data sharing is always in the stage of “dare to think about it is not easy to doâ€, and data sharing is the key to improving the efficiency of data applications, and this also ensures the smooth development of safe cities and smart cities. run.
For smart city big data, including security big data, its main function and how to professionalize these data create more value.
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