AI+ visual analysis to create Haiyun's high-quality product “Smart Alert Brain”

The development of artificial intelligence, big data, algorithms, computing power are three elements are indispensable. Nowadays, many big data companies have transformed themselves into AI, and they have started data visualization analysis. Haiyun Data, which started as data visualization analysis, began to lay out AI from last year. It officially launched lip language identification black technology at the end of March this year and announced its AI strategy blueprint in August. With a large span of transformation, whether it is blindly following the trend or the need for business upgrades, whether big data and AI technology can be combined in real situations will be the key to success or failure.

He has been digging deep into the sea cloud data in the public security field and wants to make the public security industry "intelligent" through the "brain brain."

AI+ visual analysis to create Haiyun's high-quality product “Smart Alert Brain”

On December 8th, Haiyun Data released a smart product based on the MapEase 6.0 platform - the brains of Zhizhi. This product is equipped with AI and data visualization analysis technology, focusing on the evolution of the ability of public security operations, through the The capability module in the platform is combined with the public security business, forming more than 200 industry capabilities in 40 segments.

At present, Haiyun has successfully deployed mentally handicapped police to manage the brain in more than one provincial and municipal public security bureaus, occupying more than one-third of the public security market; after deploying intelligent police to manage the brain, the public security department's intelligence analysis preparation time is reduced by 70%. Increase efficiency by 50%.

The cloud data founder and CEO Feng Yicun demonstrated the upgraded “smart brain” at the conference.

Figure: Feng Yicun Demonstration Brains Face Recognition Login

He entered the mentally alert brain system with face recognition, and then delivered voice dispatch instructions to the robot through voice interaction. The recognition was accurate. In the demonstration, there was also a police officer at the scene to cooperate with the process of receiving the police order, replying to the police order and executing the police order.

In addition, the mentally alert brain also has a predictive function for security events that have not occurred. For example, if people who have a history of drug addiction often gather together in the near future and the meeting time is concentrated in the night, the system will predict that they have re-drug suspects. In addition, the mentally alert brain can also analyze the clues of the case, such as analyzing the interpersonal relationship and traffic route maps of the suspects. The system will infer its relevant gangs, help the police to crack down on series of cases and arrest their gangs.

It is reported that the mentally alert brain can use voice control to zoom in and zoom out of the map, bring up video of the accident scene and the distribution of fire, hospitals, and police forces around it, and give public security senior commanders the ability to make decisions and dispatch, ensuring that the public security department can respond quickly after an accident. Rapid processing.

According to Feng Yicun, in the entire product design of the mentally alert brain, the nearby police force, the address of the crime, the surrounding bayonet, intelligence analysis, the path of suspects, the file of key suspects, etc., can all be passed through. A map, a net form, allowing business staff to see in real time, real-time judgments.

In the entire business scenario, Haiyun hopes that all command centers and intelligence centers are intelligent and can be dispatched, so that all languages ​​can be reached at any time, so that all orders can be reached at any time, so that all intelligence The information is delivered to the personnel of the business scene in real time so that all front-line personnel can effectively schedule, analyze, and implement effective police orders based on the information of the police situation.

At present, the platform of Haiyun’s Tuyi platform has already formed in industries such as public safety, transportation, smart cities, and civil-military integration.

The road to productization of AI technology is difficult?

Today's AI companies have talked about more technologies, and they have achieved very little in realizing products and landing actual scenes in subdivided areas. It is precisely because the vitality of technology can be better elicited in products and applications. In its deep-rooted public security business, Haiyun has implemented the AI ​​technology scene, built its products and gradually matured, making it more pragmatic.

So why is AI's technology, at present, difficult to achieve product?

The main mode of business model innovation is productization. Compared with the new technology that focuses on AI in the first half of the year, the second half of the year is more focused on technological productization and commercial landing. In star AI Corporation, the company's technology for image recognition has been transformed into more applications, and the security industry has a huge market potential. The demand for face recognition technology is relatively large. Speech recognition companies are gradually looking for opportunities in the IOT market.

There is a cognitive difference in artificial intelligence for products to land. Is AI+ industry or industry+AI? The two are very different. The AI+ industry is similar to Ctrip.com, and many of the Internet's transformation of the industry is the Internet+ industry. The second category is called industry+AI. AI is part of the industry, such as automated driving.

Right now, there are those who have seized the flow of portals by giants, those who open up free technology platforms, those with existing business foundations and AI linkages, and smart products. However, the degree of technological maturity, degree of product engineering, and commercial value have yet to be considered.

In the current era of artificial intelligence, there is an opportunity for the group to compete with each other, and the BAT on the track and industry upstarts and entrepreneurial newcomers have come out. Recently, the news of the HKUST was questioned, mostly criticizing its ability to commercialize. Obviously, whether it is difficult or not, the next step in the productization of AI technology is the survival of the king.

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