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In the eyes of Li Yalin, an old detective with a strong sense of investigation, the strength of the AI ​​model is like the Monkey King’s golden hoop and Poseidon’s trident, an absolute super artifact.

Many times, criminal investigation relies either on experience and technology, or on the ability to acquire and retrieve information.

If you start tracking a suspect from city A, but once he leaves city A and the clues are cut off artificially, finding him will be like looking for a needle in a haystack.

However, from an objective point of view, no matter how vast the ocean is that this needle merges into, it still exists objectively and has the possibility of being found.

The difficulty lies in who has the energy to conduct a blanket search of the entire ocean?

Now, Ai has this capability.

At the very least, this dedicated AI model in front of us already has this capability.

She has studied all the public content on the Internet, so in theory she also knows every person in the world who has a name and video information on the Internet.

As long as you provide her with enough video footage and give her some time, she will be able to compare every face that appears in the video and find the person you are looking for.

Hundreds or even tens of millions of faces can be recognized from tens of thousands of videos, and then a specific person can be found from these hundreds or even tens of millions of faces. If it relies on manual identification, it may take at least hundreds of people working continuously for several days or even dozens of days.

But for Ai, it may only take tens of minutes or even a few minutes.

The more Li Yalin thought about it, the more excited he became. He pulled charlie Wade to a deserted place and whispered, “Mr. Wade, if we can find a way to hack into the surveillance systems of major airports around the world and give the face of someone from the Poqing Society to AI for study, then whenever this person travels by plane in the future, we will be able to see through all his movements at the first time!”

charlie Wade asked him: “Is it possible to hack into the airport surveillance?”

Li Yalin thought for a moment and said, “It depends on the information protection capabilities of the country or the airport. Airport surveillance in small third world countries should be easy to hack into, but it should not be so easy in developed countries, especially those with developed Internet industries.”

Then, Li Yalin added: “But I don’t think it’s impossible to achieve.”

charlie Wade asked him: “Does Inspector Li have any good ideas?”

Li Yalin said: “Russian hackers are always very strong. We can try to find them to hack into surveillance cameras in various places. If we can’t hack them, we can still collect data ourselves!”

“Collect it ourselves?” charlie Wade asked him, “Do you mean that we should go to the airport to set up surveillance equipment ourselves, or arrange for people to go to the airport to film it?”

Li Yalin shook his head and said in a low voice: “Use UGC big data!”

charlie Wade was confused: “UGC? What does it mean?”

Li Yalin explained: “It is user-generated content. For example, on your short video platform, hundreds of millions of users will post their own content on it, and even do live broadcasts on the platform. The data they generate is UGC. Just think about it, any airport or train station in the world with a slightly larger flow of people will have people taking photos and videos here. They will upload these photos and short videos to social platforms, and all this data will become public data. At each large airport, there are thousands or tens of thousands of people at the airport at the same time. These people will use their mobile phones to cross-shoot each other and then upload them to social platforms. As long as the person we want to find appears at the airport, there is a high probability that he or she will not be able to escape the cameras of other passengers at the airport.”

charlie Wade nodded and said in agreement: “What Inspector Li said makes sense, but I always feel that the mesh of this channel is still a bit large. Perhaps 80% to 90% of the people in the airport will be photographed by others, but whether it will be uploaded to the social platform is another unknown. If 80% of people will upload it to the social platform, then 8864 will only cover 60% of the people, and 40% will be missed.”

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