With the rapid development of artificial intelligence technology, its application in various fields continues to deepen, especially in the field of intelligent security on the G-side (government side), and AI is becoming a key force in promoting the modernization of social governance and the upgrading of security guarantees. This article will delve into the application direction of AI in intelligent security for your reference.
Last time, I roughly talked about the direction of AI application on the G-side, and today I will talk about these directions in detail, and interested friends can take a look.
The development history of the security industry
Before talking about AI intelligent security, let’s talk about the development process of this security industry, just like the government signaling construction, this security construction also has a development history of more than 40 years:
The first stage: stand-alone construction
1979-1983: Analog surveillance
Areas of application: important special departments
Features: The system consists of a front-end analog camera, a back-end matrix, a single video recorder and a CRT video wall.
The second stage: digital construction
1984-1996: Digital monitoring
Applicable fields: finance, cultural relics, military industry, postal service
Characteristics: Using digital technology, market competition is mainly concentrated between brand products and prefabricated products.
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The third stage: network construction
1997-2008: High-definition/networked monitoring
Applicable fields: finance, public security, energy, transportation, education, telecommunications, airports, customs
Features: To meet the needs of license plate recognition, face recognition, accident analysis, process monitoring and intelligent monitoring, video surveillance is gradually integrated with customer application systems.
The fourth stage: intelligent construction
2009-2012: Intelligent monitoring
Applicable fields: security, transportation, energy, environment, government emergency, radio and television
Features: Security applications have expanded from traditional post-event investigation and evidence collection to pre-analysis, early warning, drills, as well as tracking, command, scheduling, coordination and communication during the event.
The fifth stage: intelligent construction
2012-2024: Intelligent monitoring
Applicable field: smart city
Features: Upgrade the existing video surveillance network to an intelligent video surveillance system with a higher degree of intelligence.
The sixth stage: large model construction
2024-present: The era of large models
Applicable field: smart city
Features: With the support of large models, massive data in the video surveillance system can be analyzed and processed more efficiently.
AI security industry definition
AI technology has injected new vitality into the traditional security industry. The security industry uses technical means such as video surveillance, entrance and exit control, physical protection, contraband security inspection and intrusion alarm, combined with a new generation of information technology, to prevent various risks and challenges, build a three-dimensional social security prevention and control system, and ensure national security and social stability. AI+ security is the application of artificial intelligence technology in city-level, industry-level and consumer-level security scenarios.
Industry pain points
- Deployment and control requirements: Traditional security relies on manual monitoring and deployment control, and monitors based on personnel and their trajectories.
- Data processing: Video surveillance generates a huge amount of data, complex information, and difficult to effectively mine data.
- Manpower consumption: Solving a single case may require thousands of hours of video footage, which is extremely consuming on police force.
- Pre-management: Traditional security focuses on post-event investigation, and there are problems of insufficient source management and dynamic management.
Technical improvements
- Accurate recognition: With the help of computer vision face recognition and video behavior analysis technology, it can accurately identify and track people and their trajectories.
- Correlation Analysis: Conduct in-depth data mining through multi-attribute associations.
- Labor savings: Dramatically reduce the time to review footage and lock suspect tracks, from days to minutes or even seconds.
- Analysis and early warning: real-time analysis of monitoring information, early warning and rapid response, so that security control starts from the pre-warning stage.
AI security policy sorting
Since 2015, the State Council, the Ministry of Science and Technology and other institutions have successively issued a number of policies to promote intelligent security, mainly focusing on improving the construction of social security prevention and control networks.
- In April 2015, the State Council issued the “Opinions on Strengthening the Construction of Social Security and Security System”, which states: incorporate social security informatization into the overall plan for smart city construction, make full use of the new generation of Internet, Internet of Things, big data, cloud computing and intelligent sensing, remote sensing, satellite positioning, geographic information system and other technologies to innovate social security prevention and control methods, and improve the digital, networked and intelligent level of public security management.
- In June 2016, the Ministry of Industry and Information Technology and others jointly issued the “Internet” Artificial Intelligence Three-Year Action Implementation Plan, the content of the plan: the main task mentions the intelligent security as the key application and promotion area of artificial intelligence product innovation: that is, it proposes to implement intelligent security promotion projects, encourage security enterprises to cooperate with Internet enterprises, develop integrated image and video accurate recognition, biometric recognition and other technology AI security products, and promote the intelligence, intensification and networking of security products.
- In December 2016, the State Council issued the “13th Five-Year Plan for the Development of National Strategic Emerging Industries”, which proposed to focus on promoting the R&D and industrialization development of smart homes, smart cars, smart agriculture, smart security, smart health, intelligent robots, and smart wearable devices.
- In January 2018, the Central Committee of the Communist Party of China and the State Council issued the “Opinions on Promoting Urban Safety Development”, which proposed to strengthen the innovation and application of safety technology and accelerate the systematic and intelligent realization of urban safety management.
- In June 2021, the China Security Association issued the “14th Five-Year Plan for the Development of China’s Security Industry (2021-2025)”, which pointed out that it is necessary to achieve high-quality development as the overall goal and comprehensively promote the security industry to enter the intelligent era. Achieve qualitative breakthroughs in core technology, industrial upgrading, theoretical research, etc.: make new achievements in structural optimization, application expansion, industry management, etc.
- In December 2021, the Ministry of Transport issued the “14th Five-Year Development Plan for Digital Transportation”, which pointed out that the transportation network security policy system has been basically established, the security level protection ability of information systems has been generally improved, the list of key information infrastructure in the industry and the data classification and classification management system have been continuously improved, and the industry password and key management system has been continuously improved.
- In January 2022, the State Council issued the “14th Five-Year Plan for the Development of the Digital Economy”, which pointed out that it is necessary to focus on public health, social security, emergency management and other fields, deepen the application of digital technology, and achieve rapid response and linkage handling of major public emergencies. Establish and improve the data security governance system, and study and improve industry data security management policies. Establish a data classification and hierarchical protection system, study and promote the construction of a data security standard system, standardize the full life cycle management of data collection, transmission, storage, processing, sharing, and destruction, and promote data users to implement data security protection responsibilities.
- In April 2022, the Ministry of Emergency Management issued the “14th Five-Year Plan for the Development of Emergency Management Standardization”, which pointed out that it is necessary to strengthen basic research related to emergency management standardization, provide theoretical guidance and scientific and technological support for standardization work, and give priority to major research projects with overall and strategic impact on standardization in the field of emergency management industry, as well as research projects related to emergency management informatization and intelligence.
- In July 2022, the Office of the Safety Committee of the State Council issued the “14th Five-Year Plan” National Road Traffic Safety Plan, which pointed out that the rule of law thinking and system concept are continuously integrated into road traffic safety governance, and new technologies such as big data artificial intelligence and 5G are fully applied to road traffic safety management.
- In July 2022, the Ministry of Housing and Urban-Rural Development and the National Development and Reform Commission jointly issued the “14th Five-Year Plan for National Urban Infrastructure Construction”, which pointed out that communities are encouraged to build supporting facilities such as smart parking, smart express cabinets, smart charging piles, smart light poles, smart garbage bins, and smart security to improve the level of intelligent services.
- In January 2024, the Ministry of Industry and Information Technology, the Ministry of Education, the Ministry of Science and Technology, the Ministry of Transport, the Ministry of Culture and Tourism, the State Council, the State-owned Assets Supervision and Administration Commission, and the Chinese Academy of Sciences jointly issued the “Implementation Opinions on Promoting the Innovation and Development of Future Industries”, which pointed out that it is necessary to further promote the construction of 5G, computing power infrastructure, industrial Internet, Internet of Things, Internet of Vehicles, gigabit optical networks, etc., and forward-look layout of key technology research such as 6G, satellite Internet, and mobile phone direct connection satellites, and build high-speed ubiquitous, integrated interconnection, intelligent green, A new digital infrastructure that is secure and efficient.
AI Security Industry Classification
The AI+ security industry can be divided into the following six categories according to application scenarios: public security, finance, education, buildings/communities, families, and transportation.
- Public Security: Analyze the application of AI in public safety, such as intelligent surveillance, crime prevention, and emergency response
- Education: Introduce the application of AI in school safety management, such as campus monitoring, student behavior analysis, and emergency handling
- Home Security: Describe the application of AI in home security devices, such as smart cameras, alarm systems, and personal privacy protection
- Finance: Explore the application of AI in financial institutions, including risk control, identity verification, and anti-fraud systems
- Buildings/Communities: The application of AI in building and community management, such as access control systems, visitor management, and environmental monitoring
- Transportation: Analyze the application of AI in traffic safety, including intelligent traffic management
AI security application content
Smart policing
Smart policing is the earliest and most mature field where AI and security applications are combined. In order to meet the needs of urban security in the new era, cutting-edge technologies such as video surveillance, deep learning and big data are deeply integrated with police work, leading the construction of a safe city. Through advanced biometric technology, we will build a precision policing system with wide perception, multi-dimensional research and judgment, and efficient disposal, realize real-time monitoring, automatic early warning and fast tracking, and help public security organs fight crime and maintain social order.
AI video surveillance systems are at the heart of smart policing. The public security AI recognition monitoring system has two basic capabilities: dynamic comparison recognition based on video stream and static comparison recognition based on picture stream. The dynamic comparison and identification system is mainly built by the city, district and county level public security departments for real-time capture comparison and alarm; The large-scale static database is built by the provincial public security department to meet the data query needs of public security at all levels.
Smart financial security
In the context of the era of financial technology leading the digital transformation of the financial industry, the security management and prevention of financial institutions are facing new challenges. The entire financial industry is undergoing a new round of industrial upgrading, and artificial intelligence has become a powerful driving force for change in the field of financial security. Specific to application scenarios, smart financial security mainly covers financial institution network security, authentication comparison and VIP identification.
Smart education
Smart education integrates multiple technologies such as automation, computer, network communication, video compression, radio frequency identification and intelligent control, and provides a solid guarantee for campus safety and teaching order by integrating access control, video surveillance, alarm linkage and consumer all-in-one card.
Smart Buildings/Communities
Community buildings/communities are another important application area of AI+ security technology. As the basic unit of social governance, community and commercial buildings and parks carry the highly intensive activities of the urban employed population. The application of AI security products such as intelligent video surveillance systems, face recognition access control, intelligent building intercom, and intelligent vehicle barrier gates has begun to take shape in these areas. With the strong support of national policies, with the continuous advancement of key tasks such as the transformation of old urban communities across the country, the construction of “smart communities” and “smart security communities”, it is expected that in the next few years, the application of AI security in the field of community buildings will maintain a rapid and stable development trend.
Smart home
Smart home security systems integrate sensors, smart devices, and Internet technology into the home environment to achieve intelligent monitoring, management, and control of home security. Its core goal is to provide convenient, intelligent and efficient security protection solutions, allowing family members to grasp the security status of their homes in real time and respond quickly. Specific application scenarios include smart door locks, smart cameras, intelligent security sensors, intelligent alarm systems, and smart door and window sensors, which are widely used in various fields such as family member protection, pet supervision, and elderly care.
Smart transportation
Smart transportation is an application method that integrates the new generation of information technology such as artificial intelligence, Internet of Things and big data with transportation. Specifically, it integrates advanced technologies such as the Internet of Things, spatial perception, cloud computing, and mobile Internet, combined with theoretical tools such as transportation science, system methods, artificial intelligence, and knowledge mining, to build a real-time dynamic information service system. Through in-depth analysis of traffic data, smart transportation can optimize resource allocation, improve public decision-making capabilities, strengthen industry management and improve public services, promote safer, more efficient, convenient, economical, environmentally friendly and comfortable operation and development of transportation, and promote the transformation and upgrading of related industries. At present, our country’s smart transportation is mainly used in the fields of highway traffic informatization, urban road traffic management and service informatization, and urban public transport informatization.
Industry characteristics: Wide range of application scenarios and fragmented scenarios
As a guarantee industry, AI+ security has a wide range of application scenarios, and there are professional service enterprises in different application scenarios. At the same time, due to the fragmentation of service scenarios, the complexity of security project delivery has increased significantly. In the process of AI implementation, fragmented application scenarios are an unavoidable challenge. Specifically, it is manifested as:
The distribution of users is not concentrated, and the applications and products are relatively scattered, which makes sales work more difficult.
The solution is highly customized, the needs of each scenario and location are different, and the customized project solution is difficult to meet all needs, and the product adaptability is poor.
It is difficult to achieve interconnection of various application data. For example, the lack of information communication between household administration and traffic management departments makes it difficult to connect data.
The process from fragmented customer needs to delivery solutions is complex.
The combination of AI and security projects prolongs the overall R&D and execution cycle, the reuse rate of product and service solutions is low, and the cost of a single project is high. Therefore, there is an urgent need to standardize AI security projects to streamline the delivery process and improve efficiency.
AI security industry chain analysis
Industrial chain analysis
The AI+ security industry chain is composed of upstream modules, chips and other manufacturers, midstream AI technology providers, Saas service providers, security product hardware manufacturers, and downstream special channel operation service providers.
Industry scale
According to Zhongan.com, the total output value of China’s security industry will reach 1,049 billion yuan in 2024. With the widespread application of artificial intelligence technology, its penetration rate in the security field is expected to reach 10%, bringing the market size of AI and security integration to 104.9 billion yuan in 2024.
Information source: Zhongan.com, Rongzhong Research and collation
Industry competition pattern
Industry leaders and AI start-ups have jointly promoted the development of AI+ security. Enterprises that entered the security industry early have an advantage with a solid market position.
At present, the three major domestic giants – Hikvision, Dahua and Tiandi Weiye have ranked among the top ten in the world. According to the “2024 Global Security Top 50 List” released by A&S, Hikvision, Dahua Co., Ltd., Tiandi Weiye, Hanwha, TKH and Aifeng ranked among the top ten in the global security industry in 2024. Among them, Chinese companies performed particularly well: Hikvision topped the list with sales revenue of US$9.722 billion, followed by Dahua with US$4.554 billion, and Tiandi Weiye ranked seventh with US$859 million.
Information source: A&S, Rongzhong Research and collation
The global competitiveness of our country’s AI+ security enterprises continues to increase. According to the “2024 Global Security Top 50 List” released by A&S, from the perspective of national and regional distribution, a total of 20 companies in China (including 6 in Taiwan) are shortlisted, ranking first in number; Sales totaled $17,095.6 million, accounting for 57%. This is followed by South Korea with 8, the United States with 5, Japan with 3, India, the Netherlands, Sweden and the United Kingdom with 2 each, and Australia, Brazil, Denmark, Germany, Israel and New Zealand with 1 each. From the perspective of performance changes, 36 of the companies on the list in 2024 have achieved performance growth and 14 have declined, while all Chinese companies on the list have achieved growth.
The future development trend of the industry
business model
The industry business model has undergone a shift from selling products to selling solutions to providing all-in-one video services. The early development stage of the AI+ security industry is based on hardware, enterprises mainly focus on large-scale manufacturing of security hardware products, software is in an auxiliary position, and the proportion of hardware in the entire product line is much higher than that of software systems. In this model, the product types are scattered, and it is difficult for a single company to fully cover all types of products required by a system, and the product differentiation between companies is small, which is easy to be imitated or followed.
At present, the most important business model in the industry is to sell a full set of security solutions, including hardware products, defense systems and other integrated solutions. industry solution providers focus on various vertical application scenarios, such as airports, terminals, ports, gas stations, banks, subways, etc.; Integrated solution providers integrate the three major security systems of monitoring, access control, and alarm into one for sales. The future trend of the AI+ security industry is to implement integrated video services, that is, integrate AI technology into edge devices, such as embedding AI chips on webcams, so that front-end cameras can process and analyze video data in real time. This not only improves response speed but also effectively reduces network operating costs.
Customer type
The type of customer is gradually changing from government-led to a diverse group of enterprises and individuals. The core customers of the traditional security industry are mainly government agencies, especially public security and transportation departments, while the security applications of large enterprises and individuals are relatively limited, mainly concentrated in the field of traditional video surveillance. With the advancement of AI technology, the availability of massive video data has greatly improved, and more innovative video solutions have begun to be widely used in large enterprises such as retail and finance, and have extended to personal security scenarios, such as smart communities, smart buildings, and smart homes.
Location distribution
Domestic first-tier cities are gradually expanding to second- and third-tier cities. At present, AI+ security companies are mainly concentrated in first-tier cities. In the next five years, these companies will continue to deepen their cultivation of the first-tier market, accelerate their entry into second- and third-tier cities, quickly seize market share, and tap greater growth potential. At the same time, overseas markets are becoming a new growth point. In terms of market, overseas markets such as India are becoming a new blue ocean for Chinese AI+ security companies.
summary
The integration of multimodal perception will become the core of future AI security systems. By integrating vision, sound, temperature and other perception means, the system will achieve more comprehensive and accurate environmental perception and analysis, and improve its adaptability to complex and changeable environments with the help of deep learning and reinforcement learning technology, so as to achieve intelligent decision-making and real-time response.
Cloud collaboration and big data applications will also further promote the development of AI security systems. Through the deep integration of cloud computing and the Internet of Things, the system can realize intelligent interaction and information sharing between multiple devices, centrally analyze massive data, and significantly improve the overall intelligence level and processing efficiency.
From the perspective of industry development trends, the AI security market will show a diversified pattern in the future, and AI companies, security vendors, integrators and cloud service providers will coexist and prosper. Enterprises that are deeply involved in the traditional security market at the government side, application software developers who have a deep understanding of the needs of enterprise customers, providers who provide industry solutions, Internet companies with complete ecological layout on the C-end side, and emerging technology companies focusing on AI infrastructure will all have an advantage in the competition. Participants can not only provide products and services to customers through integrator channels or directly, but also some integrators can even directly provide hardware and software technologies, forming an open ecosystem of “cooperation and potential competition”.
