Compared with the "AI Big Bang" stage that only started in 2017, the security industry is an industry that AI technology has intervened earlier. Beginning in 2015, or even earlier, artificial intelligence began to integrate with the security industry, especially the video security industry. The term "smart security" was derived from this, and the so-called "smart security" was still the mainstream.

Of course, for the security industry at that time, AI always had a mysterious aura. Whether it was technical theories or intelligent algorithms, it was fascinating but confused and fresh. At that time, security vendors that were about to be fully armed by AI were all busy doing the same thing, scoring the rankings.

Er Ye chatted with Zhao Yongjun, the president of Dongfang Net Li, and he recalled the situation at that time. When artificial intelligence algorithms and functions just entered video surveillance, everyone was busy participating in algorithm accuracy contests in various cities. This process continued. It took almost a year and a half. After that, the industry generally felt that everyone was just busy PK, and the user-oriented value, or the value brought to the industry, even for the output and income of a commercial organization, did not seem to bring much or form anything. Content that really landed.

In other words, in the security industry in 2016, artificial intelligence is still a set of "high-end gameplay". Whether it is industry users or industry manufacturers, although everyone knows that AI is in the right direction, how can it be implemented? How does technology specifically integrate with industry and business? How to play value in the industry business? Everyone hasn't figured it out yet.

A few days ago, Erye went to participate in the 2018 Beijing Security Expo, which is the highest exhibition in the security industry once a year. What's interesting is that hundreds of exhibitors all advertise their AI capabilities, and all of them are talking about "smart security." In this way, AI has become the standard in the current security industry.

So here comes the question. From the ignorance in 2016 to the standard configuration in 2018, in two years, has the security industry figured out how to implement artificial intelligence in the business?

1. Technology is important, but the demand for value landing is pushing smart security into the era of big scenes

There is no doubt that all industries, including security, are being swept away by the AI ​​wave at this moment, and artificial intelligence technology is constantly spawning new products and applications. Such a process fully demonstrates that no matter how the technology develops, the value will ultimately lie in the industry.

Back to the security industry, demand dictates. Starting from the installation and deployment of the first batch of security cameras, the security industry has always been an industry dominated by the government. Therefore, after the emergence of smart security, it was the first to land in the police field. At this stage, artificial intelligence-based video structured processing technology has achieved considerable development. At present, the level of intelligence of the security technology and products mastered by the government's public security system has far exceeded the cognition of ordinary people on criminal investigation technology. Taking video security as an example, the screens presented on the screens of case-handling personnel no longer require visibility and clarity, but have been able to "understand, analyze, and track". It is precisely because of this that it is not difficult for the police uncle to catch a few fugitives at Jacky Cheung's concert, and it is precisely the smart security technology that showed his hand.

After criminal investigation, deployment and control and other police scenes were implemented, city managers found that as the population gradually converged in the city, issues such as population management and public safety were most intuitively reflected in the community. Therefore, the government began to hope to apply smart security technology to areas such as safe cities, smart cities, and Xueliang projects.

With video surveillance as the entrance, the "smart community" that combines artificial intelligence and traditional security applications has become a new concept of community management and a new model of social management. The community scene has therefore become the main battlefield for smart security landing and competition among major security vendors.

In the battle of the "smart community", there are three issues that need to be resolved:

1. How can the underlying big data and cloud computing, front-end AI face recognition, and IoT solutions be combined to be better implemented in community scenarios?

2. How do the different units such as the owner, property and public security unit communicate? How to establish a three-dimensional safety prevention and control system?

3. How to balance the relationship between convenience services and community safety governance?

These three major issues are intertwined and lie in front of security vendors, and their complexity is far beyond the previous application of smart security in police scenarios. When Er Ye threw these three questions to Zhao Yongjun, the president of Dongfang Net Li, he replied that the core of the problem is big data. Dongfang Net Li’s “intelligent security community system” is to collect data around “one standard and six realities”. Use the concept of "unified planning, unified standards, unified platform, and unified management" to solve problems in planning and construction. Dongfang Netli's style of play has a certain degree of representativeness.

Specifically, NetPolic’s intelligent security community system breaks through two requirements: the first is to conduct daily security maintenance for people, cars, houses, and things in the community through dynamic perception and intelligent video analysis; the second is, Intelligent analysis and circulation processing of alarm events such as community deployment and control of alarms, incidents received, population perception, vehicle perception, alarm perception, etc., to achieve closed-loop management.

In the smart community, the actual units in the community, indoor water, electricity and gas, smoke detectors, outdoor access control, vehicles, fire protection and other facilities are all connected to the network. The system connects to multiple business networks at the same time and cleans and aggregates data sources. , And display and call based on GIS. In the event of a safety hazard or emergency, the relevant personnel can be informed immediately and come to the door to deal with it.

From police scenes to community scenes, in the past few years, the breadth and depth of smart security implementation has been continuously strengthened, and it has become closer to people’s daily lives, and at the same time, it brings more and greater "value", whether it is for industry users or consumption. This is true for both the security vendor and the security vendor.

This represents a trend that the value of smart security is moving towards the era of big scenes. From a broader perspective, there are various scenarios in various industries, and the needs of each scenario can be combined with security technology, and each combination is a value landing.

For security manufacturers, focus on technology, but not superstitious technology. To make technology truly exert its value, it must be to bring value to users in industry applications. The perfect combination of technology and industry needs to form a scene-based industry solution that can be implemented is what everyone needs to do now.

2. Whose home is the future smart security?

At the 2018 Beijing Security Expo that just concluded not long ago, although everyone emphasized that they are smart security manufacturers armed with AI, many exhibitors are still clearly divided into three categories: one is that they entered the security field very early. Later, established security vendors equipped with AI technology; one is a technology company that has a background in AI technology (such as computer vision) and then applies technology to the security field; the other is a cloud and data infrastructure provider.

The squandering flowers are gradually becoming charming and crowded among the bustling crowds of the China Expo. A particularly grounded question emerges in Er Ye's mind: Who will have greater opportunities in the future smart security market?

Before answering this question, we need insight into the current difficulties of smart security? And the future market should belong to those manufacturers that can better solve the problem. Erye believes that the current smart security is facing three difficulties:

1. Collection of data

In fact, data collection is a common difficulty in the field of artificial intelligence, including smart security. Why do you say that? Because, in the final analysis, the iteration of artificial intelligence technology is the process of continuous machine learning, and this process is actually the continuous running of data. Therefore, without the support of data, it will be difficult for AI capabilities to have greater breakthroughs, let alone the large-scale application of AI products.

In the field of smart security, data aggregation is still a big problem faced by various manufacturers. The data here mainly refers to video data. Based on this, the first entry advantage of the security industry is very obvious. Because of more cooperation with the government, those who have been involved in the construction of video networking must be established security manufacturers that have been in the industry for more than ten years. When the government was building the video surveillance system, most of the AI ​​technology-born manufacturers had not even established it, and they were not involved in this process.

Data from industry organizations also confirms this situation. According to data released by IHS in 2017, in 2016, in the field of video surveillance management platform, Dongfang Netpower, which has been solving video networking problems since its entry into the industry, has the largest market share in China and third in the world. Therefore, at the level of data collection, security "veteran players" such as Dongfang Netli, which has been deeply involved in the video surveillance management platform for many years, must have an advantage.

2. Construction of Intelligent Perception Network

At present, the entire security industry is mentioning the intelligent perception network, and its core is "network", which means that intelligent security is no longer limited to video, but needs to integrate various forms of networked information into the same system .

Of course, from the perspective of the security industry, the intelligent perception network will still be built with video as the core, and in the future, it will face a larger range of perception networks, including RFID, including Zigbee, and many other information collected through the Internet and the Internet of Things will be included. , The scope will be wider.

With the establishment of the IntelliSense Network, a new problem has emerged, that is, when a large amount of data is brought together, data cleaning and analysis is another compulsory course for security vendors.

Therefore, in the era of smart security, manufacturers that have the ability to build intelligent perception networks and have strong data cleaning and data deduplication capabilities will have more advantages in the AI ​​era.

3. Get through the business

When we have mastered the data and built an intelligent perception network, we have obtained the "ticket" to apply these effective data or high-quality data to all walks of life and conduct business.

But in terms of the ultimate value of smart security, this is just an introduction, and its more significant significance lies in: the future security vendors will have the conditions to open up business for all walks of life, so that the value of data can be generated in industry applications. Or it bursts into greater value.

Security manufacturers that can do this will be a cruel "take-all" role. Of course, it is not easy to do this step. It not only needs to understand the technology, but also has a certain market share, and the premise also needs to have a large number of business scenarios, which determines that it is a routine that must not be manipulated by a large company. Therefore, for a long period of time in the future, the smart security industry is likely to be in a stage of bullying the small, and the development speed and opportunities of large companies will be more advantageous.

In summary, Erye makes an offensive prediction that in the future smart security field, the home field advantage is likely to be: a large company with technology accumulation, multiple business scenarios, and both data advantages and intelligent perception network construction capabilities.

3. Where is the future of smart security?

When discussing the future of smart security, we need to take a look at the front. As mentioned earlier, the value of smart security is infinitely close to the scene, and one scene after another is superimposed to form the largest scene in our lives-the city.

The future direction of smart security is beginning to become clear, and that is the "smart city". This idea of ​​Erye coincides with Zhao Yongjun, president of Dongfang Net Li. He said that when it comes to Eastern Netpower, everyone thinks that it is for security and video, but the future direction of Eastern Netpower must be to build a city-level video data management platform and create an "emergency brain" for cities.

In fact, security vendors’ involvement in smart cities is a follow-through, because from industry users to consumer markets, everyone is now inseparable from video. There are a large number of video security equipment distributed in the city. All are producing massive amounts of video data.

It is not only the security vendors such as Dongfang Net Li that use video data as the core to build smart cities, but Alibaba (Alibaba Cloud) is also doing the same as an infrastructure provider in the AI ​​era.

As early as October 2016, Alibaba Cloud's "Urban Brain" was launched for testing in Hangzhou. It uses traffic cameras to perform global real-time analysis of the entire city, automatically allocate public resources, and correct bugs in the city's operation. In the end, it hopes to create a wisdom. city.

At present, China's smart city construction is basically based on two models, and the results are not very good. One is the participation of top manufacturers, coupled with the top-level design of government agencies. The goal is to make the city's data run on various hardware, but everyone does not think too much about what to run and how to run it.

The other mode is a single point breakthrough. Those who do medical care, build smart medical care first, do transportation, and do smart transportation, but the problem is that everyone basically builds their own, and the data is scattered in a large area, forming a data island. The real connection will eventually show a fragmented "city".

From smart security to smart cities, new ways must be explored based on the above two construction modes. The core of a smart city is data. For smart security, the first step is to deploy data from the front-end and improve the efficiency of the use of security facilities. The goal of data collection is not only to obtain data, but more importantly, to obtain high-quality and effective data. Therefore, how to extract high-quality and effective data from the video data of Hanru Xinghai is one of the goals to be achieved as a platform provider or a platform system provider.

The second step is to realize the landing of the smart security scene. I have already talked a lot about it in the previous article. The third step is to get the data through. The entire industry, including government-led, whether it is a safe city or a Xueliang project, has a great purpose to open up video data.

From urban road monitoring to communities, buildings, and parking lots, when different scenarios can achieve data interconnection through scenario-based security solutions, our city has the foundation for building a city-level smart brain.

For security manufacturers, they are always facing a very fragmented market, with scattered users, scattered products, scattered applications, and various customized needs are more scattered. The advent of the AI ​​era allows security manufacturers to see the development path from smart security to smart cities, and the market space has been opened up as never before.

How to catch the smart city express is a question that the entire security market is thinking about. From video to data, from AI to DI, from software to services, to build a governance system for urban data with video data as the core, perhaps this will be the evolutionary path of the entire security industry in the era when AI becomes standard equipment. .

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