Jiadu Xintai Technology Co., Ltd. Yuan Mingren
- In the era of AI and big data, the development status of intelligent security in the construction of smart cities
A smart city is a new model that makes full use of information and communication technology (ICT) to perceive, analyze, integrate and process various types of information in the city's core system, and respond intelligently to various needs in urban planning, construction, and operation management. Smart security is an important part of smart city construction. With the acceleration of national smart city construction and the in-depth development and empowerment of technologies such as AI, cloud computing, IoT, and data analysis and mining, many pain points of traditional public security have gradually been improved, and the security system has gradually become intelligent. In addition, with the improvement of people's economic level, the new demand for security products from ordinary residents, families, and small and medium-sized enterprises has become a new force to promote consumer security. For example, in the civilian monitoring market, ordinary residents have begun to install various monitoring equipment to protect their lives and property safety. According to relevant statistics, as of 2018, the scale of my country's security market has grown steadily, and the market size has reached 660 billion yuan, of which the market size of the intelligent security industry is nearly 30 billion yuan.
Of course, intelligent security will inevitably encounter some problems in the process of development. For example, the security industry has produced massive and rapidly growing surveillance video data, which requires in-depth mining to bring out its application value. However, for the entire smart security industry, large-scale, complex, and low-value-density data involving public security, transportation, emergency, urban management, and fire protection at the government level alone need to be effectively sensed, collected, analyzed, and mined. From the perspective of data access capabilities, the current security system’s ability to access various types of data is far from meeting the requirements; There are barriers, and the frequency of data collection and the level of data governance will also affect the availability of data, which will undoubtedly increase the difficulty of top-level design and overall planning of the technology platform at the data level.
- In the era of AI and big data, the status and role of intelligent security in the construction of smart cities
The relationship between the security industry and the construction of "smart cities" can be said to be closely related and complementary. On the one hand, the construction of "smart city" has brought more resources and opportunities to the security industry, providing a broader space and support for the development of the industry; on the other hand, the vigorous development of the security industry, especially the development of intelligent security, has built the underlying infrastructure for the construction of "smart city", and also provided key technical support for the construction of other aspects of smart city.
Smart security involves multiple security topics such as urban security, traffic safety, production safety, government security, and residential security. It breaks through the boundaries of traditional security and further integrates with telecommunications, property, community, IT, finance, and other fields. Supported by technologies such as cloud computing, IoT, AI, video networking, and data analysis and mining, smart security has enabled the urban security system to evolve from a simple protection system in a single field to a three-dimensional, comprehensive, and linked trend, making urban operation management evolve in the direction of digitization, networking, and intelligence, thereby effectively improving the city's operational efficiency and improving the quality of life of citizens. For example, the main task of the "Xueliang Project" is to integrate the video surveillance systems of counties, townships, and villages into the national monitoring platform, and at the same time establish a video data sharing mechanism including law enforcement, emergency services, and other relevant government agencies. It can be said that intelligent security has accelerated the realization of smart city construction.
- In the era of AI and big data, the opportunities and challenges of intelligent security in the construction of smart cities
As we all know, security technologies such as video structuring and biometric identification have been widely and effectively applied in public security scenarios. Video structuring technology can analyze video content, use time-space segmentation, feature extraction, object recognition and other processing methods to organize text information that can be understood by computers and humans, and provide functions such as target detection, extraction, image search, and attribute analysis. Biometric identification technology uses the inherent physiological characteristics and behavioral characteristics of organisms to identify identity information. The common face recognition technology can compare the face in the dynamic video with the face image in the control database in real time. The combination of the two technologies can effectively improve the efficiency of case detection. In recent years, the multiple integration of intelligent security technologies has become a new trend. Security technologies such as cloud computing, edge computing, object recognition technology, knowledge graphs, and intelligent big data are integrated with mainstream technologies such as video structuring and face recognition and applied in the security field. With more high-definition and intelligent front-end IoT devices, large-scale and complex urban data can be effectively sensed, collected, stored, managed, analyzed, mined, calculated, and applied, thereby realizing informatization, intelligence, and efficient processing of business.
Since 2015, the PPP model has gradually become one of the important investment and financing models for the construction of smart cities in various places. Smart security projects have the characteristics of large scale, large initial capital demand, long cycle, and slow return of funds. The promotion of this model will effectively solve this problem to a certain extent. It should be noted that the PPP model emphasizing "common goals, benefit sharing, and risk sharing" is not only a financing method, but also a management model. The application of the PPP model in the field of intelligent security is essentially to introduce a market mechanism in the field of public services, to a certain extent alleviate the contradiction between the shortage of local financial funds and the huge demand for security construction. The application of the PPP model in the field of intelligent security has also brought social benefits in terms of people's livelihood. It will help to build an urban public welfare information service platform, improve the level of social informatization, and improve the ability of comprehensive social governance. At the same time, it can also promote the construction of intelligent security applications and the development of the security industry, bringing new development opportunities to security companies.
In any industry, opportunities and challenges always coexist, and smart security still faces many problems that need to be solved. First, the problem of "data islands" still exists. Data is the "backbone" of urban planning and management. Currently, data in various fields is still in a state of fragmentation, data barriers still exist, and a data governance system is far from being formed. People's attention and attention to personal privacy and social ethics restrict the mining and transformation of the value contained in data resources. Second, the maturity of various technologies needs to be improved urgently. For example, intelligent video analysis technology has high requirements on the quality of video imaging, and a large amount of data with poor imaging quality but great business value cannot be used. The actual application of technology is also restricted by factors such as lighting environment and network bandwidth. Artificial intelligence-related technologies also remain at the "exhaustive" level and are not flexible. The third is that the intelligent security industry chain is constantly improving, and the boundaries are gradually blurring. The intelligent security industry has formed a complete industrial chain from downstream to downstream. From upstream software and hardware manufacturers, midstream product/solution manufacturers, and downstream operators/integrators, the entire industrial chain is also interspersed with AI algorithm companies, cloud computing service providers, and data processing companies in various links, which together form various subdivisions of the security industry chain. As artificial intelligence, cloud computing and other technologies continue to mature, some traditional equipment manufacturers have begun to expand their business upstream and downstream of the product chain, and algorithm manufacturers have also begun to directly provide users with solutions and corresponding products. market competition has become more intense.
- In the era of AI and big data, case analysis of the application of intelligent security in the construction of smart cities
This section analyzes the specific application of intelligent security in the construction of smart cities by taking a new technology platform based on artificial intelligence + location intelligence released by a solution manufacturer for the smart city pan-public security industry as an example. The platform is oriented towards a city-level digital twin empowerment application platform, with virtual reality interactive control, massive front-end video fusion, multi-map integrated model rendering, and real-time video structural algorithms as its featured technologies. It has created an intelligent police system with panoramic vision, global perception, full-process interaction, and applicable to all police officers around the police's "fighting and control service scene" technique and warfare.
At the data collection layer, the platform can collect public security business data through front-end equipment, such as collecting face pictures through face cameras, and passing car picture data collected through license plate recognition cameras.
At the service layer, the platform realizes the serial function of the data docking link with the third-party business system, such as video networking service, face recognition service, vehicle recognition service, mobile communication service, etc., and can obtain the required system business data by connecting the service layer resources of various business systems.
The data layer includes three parts: data access, data processing, and visualization custom services. The platform encapsulates various business data standard interfaces, and accesses through the data layer data interface to obtain the data of each business system in the service layer. Through the data processing capability of the data layer, various scattered business data are processed in a unified manner, and data support for platform function applications is provided. At the same time, according to the characteristics of different business scenarios, the visual presentation of data can be customized and arranged to present different presentation effects.
At the application level, the platform is based on the "virtual-real combination" map application, fast data access, and the ability to customize the visual interface, and can quickly implement and deploy application scenarios such as prevention and control in key areas, emergency command and dispatch, and major security tasks.
- In the era of AI and big data, the development prospects and trends of intelligent security in the construction of smart cities
Intelligent security technology has deeply empowered various application scenarios. Taking the public security industry as an example, when a major suspect appears within the scope of video surveillance, the image-based intelligent recognition technology searches and compares the video target, quickly identifies the suspect and generates an alarm; after the suspect is found, the suspect is tracked within the area by combining combat on the map, image search, and video Re-ID cross-mirror tracking, and quickly finds information about the suspect’s trajectory and foothold; Deployment control, when the control target appears, trigger an alarm, and deal with the suspected target in time. In general, the application of intelligent security technology in public security application scenarios has realized the whole process monitoring and intelligent decision-making of pre-warning, handling during the event, and post-event analysis.
In the context of the era of artificial intelligence and big data, how to break down industry barriers, break down "data islands" and gradually integrate data in various fields, establish system specifications for data processing and analysis, so that data can meet the needs of various businesses more efficiently and accurately, and solve the problems of "single-point intelligence" bottlenecks and highly fragmented application scenarios are the key to future intelligent security construction. At the same time, as an integral part of the smart city field, smart security also needs to have the four characteristics of a smart city during the construction process, namely, a wide-coverage information perception network, deep interconnection of various networks, collaborative sharing of various resource systems, and intelligent processing of massive information.
6. Conclusion
From the perspective of national policies, the policy for the intelligent security industry has been well laid out, and the "Safe City", "Skynet Project" and "Snow Bright Project" are being advanced in an orderly manner. In the context of AI, big data, cloud computing, IoT and other basic capabilities and technologies becoming more and more mature, front-end equipment is more high-definition and intelligent, and the computing power and performance of chip technology are steadily improving, the field of intelligent security will receive new development opportunities and challenges. At the same time, the advancement of intelligent security construction will continue to build the underlying infrastructure for the construction of "smart cities", and continue to provide key technical support for the construction of other links in smart cities, thereby promoting the construction of smart cities.