How to detect crime before it happens

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minority report

China is experimenting with a system that anticipates crimes before they are committed

The scenes from the famous movie Minority Report could be a reality very soon. Just like Tom Cruise detects crimes before they actually take place, China is working on a similar technology which will use facial expressions to detect criminals.

Chinese authorities are testing a system based on the combination of facial recognition and artificial intelligence as an almost definitive tool against crime. To date, the police have acted in a preventive manner by making a thorough follow-up of suspects or face-to-face in places likely to commit a crime, but how do you anticipate, for example, a suicide attack carried out by a person Signed This is where this new system that is being developed by the facial recognition firm Cloud Walk comes into play.

They are testing a system that is based on the combination of facial recognition and artificial intelligence as an almost definitive tool against crime

The operation of the system, which has not yet been officially recognized, consists of using the cameras located in public places to obtain images of the passers-by systematically and then analyze them with a facial recognition system. In this first beat, the person would not be identified, but their factions would be analyzed. And it is at this point that artificial intelligence enters: all this huge amount of information would be analyzed by software that would collate the data and alert the police in case of a positive.

This would happen when the same person, for example, repeatedly visited a habitually crowded place and later went to an arms shop: in this case, the authorities would understand that this person has high chances of committing an attack and would act accordingly. Apparently, this software would have already been installed in the police stations of more than fifty cities of the country and would already be feeding an enormous database of faces and their movements.

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