In recent years, with the introduction of the concept of Ping An China, the role of video surveillance system as an infrastructure for social public security has become increasingly prominent. It is used to restore the scene of public security traffic incidents, traffic drainage, avoid congestion, public security, natural disasters, and other events. Command provides a strong basis and brings great convenience. However, with the popularization and promotion of video viewing applications, the problems and limitations encountered in the application have also been exposed. At present, the two main problems of video surveillance applications are that the quality of video images cannot keep up with the demands of the times and the comprehensive application of video data is not perfect. 1. The old monitoring function is single, and it is difficult to meet modern needs. Video surveillance has a long history. In many places, surveillance equipment is seriously outdated and out of repair; there are many surveillance equipment vendors in the industry, with varying quality. Many old monitoring equipment has blurry pictures, it is difficult to recognize the appearance and physical features in the monitoring video, and the observation scene is in vain. At the same time, the old monitoring function is relatively single. The intelligent realization of simple real-time monitoring and playback functions is weak. The increasingly complex situation requires video surveillance to be able to perform post-verification and extend to provide full-service services such as pre-judgment, in-event warning, and intelligent detection. Video surveillance platforms are required to have more comprehensive analysis and discrimination capabilities, such as face recognition, sound detection, and There is a clear trend in the demand for technologies such as motion detection. Second, each is fighting each other with many barriers. The video surveillance industry did not have a unified standard in the early stage, and the main focus was on spontaneous organization and unification of enterprises. It is inevitable that multiple standards and incompatibility will appear. At the same time, there are many departments in the use and construction of video surveillance, but many departments do their own things, lack of unified coordination between each other, and cannot effectively realize the sharing of network information resources, and there is no comprehensive application system integration platform for public security actual combat. At the same time, video surveillance equipment lacks uniformity and continuity, and there are surveillance overlaps and surveillance blind spots. These various constraints have affected the role of technical prevention in social security management, and it is difficult to meet the requirements of alarm, video surveillance, and social management. It is a challenge as well as an opportunity. In addition to industry rethinking caused by the exposure of the problem, it has also spawned the emergence of new technologies. 1) The video surveillance equipment is innovated, and new products are emerging in endlessly. Focusing on leading video surveillance companies such as Hikvision, Dahua Co., Ltd., and Univision Technology, we continue to introduce new products of high-definition, wide-ranging, and intelligent surveillance equipment. Especially in recent years, with the help of AI technology, the video surveillance system has been made more intelligent, versatile, efficient, and low-consumption, providing technical guarantee and support for the intelligent visual management of the city. In more than 200 safe cities, intelligent transportation projects, as well as the World Expo, the whole world Large-scale application in major national security projects such as the Games. 2) "Big data" and "cloud platform" are born at the right time, to solve the urgent need. Big data is versatile, efficient, and powerful. Use big data to capture, store, process and analyze large amounts of data generated from multiple sources, and convert the data into useful information, so as to achieve a better decision-making process. It can quickly process a large amount of data such as pictures, videos, signals, etc., and can perform multi-condition retrieval, real-time comparison, and rapid coordination under complex and changeable conditions, so as to better solve problems such as traffic supervision and safety protection. It is smooth and user-friendly, but also more accurate, fast, and cost-saving. The cloud platform takes care of all aspects and eliminates barriers. For example, Huawei "Video Cloud", based on the concept of openness and sharing, builds a service platform with video big data as the core, adopts an architecture system of "sensing, transmitting, managing, and using", focusing on video cloud solutions to help improve actual combat Ability to add wings to the "Xinliang Project". Conclusion: The upgrading of video surveillance equipment, the in-depth development of big data and cloud platforms will bring earth-shaking changes to future video surveillance. It has greatly improved the active discovery and early warning of key targets in the management area, effectively improved the management and control capabilities of key people, vehicles, things and events, and effectively maintained the social stability of the city and the whole country, making "Safe China" not long-term.
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Adhere to the concept of openness, sharing, efficiency and intelligence, and use an open platform to gather the best of hundreds of companies, and allow innovative applications to "pop a hundred flowers" to help realize a new smart police model with video big data as the core. Hikvision, ZTE, and Foxconn are also actively exploring the field of cloud video. I believe that in the near future, video vendors' segregation, data islands, and difficulties in massive data processing will not be a problem.