Analysis of the new business opportunities of smart city construction under the trend of "AI+Security"

OFweek Security Network October 18 news, artificial intelligence (AI) development is inseparable from security, no AI security, or "AI + security" promotes the construction of smart cities, the typical impact is reflected in smart policing, smart transportation, Smart finance, smart medical and other fields.

This paper attempts to analyze the new business opportunities of smart city construction under the trend of “AI+Security” from the three dimensions of China's security market, artificial intelligence market, Xueliang engineering/smart transportation market, and two typical smart city application scenarios: smart policing and wisdom. Traffic is briefly discussed.

I. Analysis of China's security market

According to the incomplete statistics of China Security and Protection Products Industry Association, there were about 30,000 security enterprises in China at the end of 2017, and the number of employees reached 1.6 million. The total annual income of security enterprises reached 600 billion yuan, an increase of 1.6 times compared with 2010. The growth rate was 14%; in 2017, the industry's added value reached 196 billion yuan, a 1.3-fold increase over 2010, with an average annual growth rate of 12.7%.

From the perspective of industry composition: In 2017, the total revenue of security products is expected to reach 245 billion yuan, the security integration and engineering market is expected to reach 305 billion yuan, and the operational services and others are about 50 billion yuan.

With the increasing demand in the domestic and international markets, video security, security inspection, intrusion alarm, access control and physical protection have achieved comprehensive development in all security fields, of which video surveillance is the fastest growing. According to preliminary calculations, the output value of China's video surveillance products in 2017 is about 130 billion yuan, 1.6 times higher than that in 2010. The average growth rate since 2010 has reached more than 17%. In 2017, the total market size reached 330 billion yuan, accounting for 53% of the security industry, an increase of 8 percentage points over 2010.

Second, artificial intelligence market analysis

2017 is the first year of the outbreak of artificial intelligence. Whether it is the State Council's "New Generation Artificial Intelligence Development Plan", or the Alpha dog let Ke Jie go down the wind, or Alibaba announced the establishment of the Dharma Institute, the Internet has been artificially in 2017. The smart brush screen, the development of artificial intelligence has become unstoppable. Security companies also did not miss the artificial intelligence "window" and joined the battle. The smart security, known as the first "landing field" of artificial intelligence, has opened a new cycle of growth. Hikvision released the brand concept of “seeing a farther distance”; Dahua shares gathered AI to create a new ecology of video material industry, and all enterprises in the security industry are in the non-stop layout of artificial intelligence market.

The application of artificial intelligence in the public security industry, transportation industry, intelligent buildings, finance, and medical industries has revolutionized the security industry. The driving force for the security industry is more than video codec technology, H.265 technology, and high-definition technology. The impact on security is even greater and far-reaching.

Deep learning is increasingly used in the security industry. With the use of smart chips such as GPU, FPGA, TPU, etc., the computational efficiency is greatly improved. The deep learning algorithm is more effective for enhancing the accuracy of image and video analysis. And face recognition, vehicle recognition and other aspects have become more "smart".

3. More than 10 million smart city projects and Xueliang engineering analysis

In the construction of a safe city, the Xueliang project is a hot topic. “Snow” comes from “the eyes of the masses are bright”, and the “Snow Project” is based on the comprehensive management center of county, township and village as the command platform, supported by comprehensive informationization and based on grid management. The “Public Security Prevention and Control Project” focusing on public safety video surveillance networking applications. The construction of high-definition cameras in rural roads and crowded areas is based on fixed video surveillance, mobile video capture, video networking, and linkage alarm systems. The information service projects are mainly based on county, township and village monitoring platforms. . Using rural TV network to connect public security video surveillance information to rural household digital TV terminals, mobilize the masses, rely on the masses and special groups, and realize social security in rural areas through real-time monitoring, one-click alarm, hierarchical disposal, and comprehensive application. The prevention and control and group defense work are seamlessly covered.

The Xueliang project is an important part of the safe construction activities. With the development of the Xueliang project, the market potential is highlighted. China has more than 2,000 counties (districts), more than 40,000 townships, nearly 700,000 administrative villages, and more than 2.5 million natural villages. According to the most basic monitoring point configuration, it can generate hundreds of billions of security market demand.

Fourth, the application of artificial intelligence in the security industry

As mentioned above, according to the statistics of the China Security and Protection Products Industry Association, by 2017, the number of cameras installed in various departments and industries nationwide has reached more than 28 million units, initially building a “Skynet” covering key public areas and industry sectors. This number is only the number of cameras covered by the public security industry, and in fact may be more. Despite this, for the urban area of ​​nearly 200,000 square kilometers, the coverage and number of cameras is very rare; from the perspective of the number of cameras / thousand people, the average density of camera in China's cities is only 20%-30% of the United States and the United States. The perfect monitoring system is a powerful means to ensure urban security. Therefore, the surveillance camera construction project has a long way to go; in the future, especially in the second-tier and below cities, surveillance cameras have great potential for deployment.

Tens of millions of cameras and a huge monitoring network will generate massive monitoring video data in an instant, and efficiently extract effective information from massive video data, which becomes the key to intelligent video surveillance technology. Take a city of 10,000-channel video scale as an example, generating 12 PB of video data per month. Finding target personnel and vehicles in such a level of resources is like finding a needle in a haystack. However, through artificial intelligence algorithms, the target in the video can be automatically captured. The picture, and extract its semantic attribute data and feature data that can be used for comparison retrieval, the monthly data is only about 1.5 billion, and the storage capacity drops to about 300TB, which can realize the second-level retrieval and depict the target's trajectory. Conduct behavioral analysis.

In the security industry chain, hardware equipment manufacturing, system integration and operation services are the core of the industry chain, and channel promotion is the meridian of the industry chain. It is imperative to upgrade the operation of the security industry in the future. The overall solution through the Internet of Things, big data and artificial intelligence technology is the development trend of many enterprises.

Video structure development, the data dimension has increased significantly. Big data has made deep learning, and video surveillance data accounts for more than 60% of the total amount of big data, and is still increasing at a rate of 20% every year. Surveillance video has been fully HD, and in high resolution, in order to ensure the normal transmission and storage of video information, manufacturers often take a structured approach when processing video information, segmenting and processing massive amounts of data, and then intelligently integrating through the background. Reasonable classification. From the perspective of video surveillance, intelligent algorithms make qualitative changes in information transmission. The early video coding standard H.263 implements standard definition (720×576) broadcast-grade digital TV at a transmission speed of 2-4 Mbps; while H.264 is optimized for algorithms, it can achieve standard-definition digital image transmission at speeds below 2 Mbps; the latest H.265 High Profile has been able to achieve 1080P full HD video transmission with a transmission bandwidth of less than 1.5Mbps.

V. Typical application scenarios of smart cities: smart new police

In terms of police application, through years of construction, China has basically achieved the goal of multi-level network monitoring of video surveillance and information sharing of alarm monitoring center platform. By 2017, the number of cameras installed in various departments and industries across the country has reached more than 28 million units, initially building a “Skynet” covering key public areas and industry sectors. It basically satisfies the needs of various departments and police officers for intelligence research, command communication, investigation and crime detection, public security prevention and control, social management, anti-terrorism and riot prevention, stability and stability, and law enforcement. The image detection technology has become a public security. The fourth largest investigative technology after the response.

Take "Video Cloud + Big Data Application Platform" as an example. Based on face recognition technology, “Video Cloud + Big Data Application Platform” integrates face capture, video + access control data, four-standard four real data, device data (WiFi), vehicle capture data and other multi-dimensional data to video big data. The ability of comparison, analysis and excavation assists grassroots civilian police in conducting prevention and control work from the perspectives of people, vehicles and cases, and provides a "sharp weapon" for grassroots public security organs to carry out three-dimensional public security prevention and control work. Let us also see " AI+Security combines new business opportunities with real-world applications.

Sixth, traffic brain

Urban traffic brain mainly uses system data such as bayonet electric police, signal light network control system and video surveillance system. Based on GIS-T geographic information platform, it deconstructs the city for five objects: vehicle, intersection, road section, parking lot and police force. The time and space characteristics of traffic operations allow traffic managers to accurately grasp the road network capacity, traffic travel demand and road network operation status. Its core function is to build facility equipment files, vehicle files, intersection road files, parking lot files, and on this basis, to achieve "diagnosis", "patrol", "judgment", "decision" and "transfer" (scientific diagnosis, automatic inspection, fine judgment) , intelligent decision-making, seamless conversion and other functions, to achieve intelligent control of traffic lights, traffic congestion management, auxiliary decision-making, equipment operation and maintenance, police scheduling, information services and other business applications.

Based on the above analysis, we can see that AI has had a profound impact on the security industry, especially the video surveillance industry, creating a large number of demand and new business opportunities. Conversely, the development of artificial intelligence technology has led to the construction of “brain” projects, which rely to a large extent on AI technology, especially computer vision technology, and such effects will surely be demonstrated in the next three years. More obvious.

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