Drones have learned to independently identify emergency situations

The researchers noted that law enforcement agencies in many countries are using technology to

Most of them useUnmanned aerial vehicles to monitor large groups of people or vast areas with a limited number of people.

While this technology is very useful, it is limitedin one aspect: the ability to decide what is normal and what is not. They can only transfer the footage to the researcher, who decides what action to take. Therefore, a group of Czech scientists decided to endow the devices with the ability to detect suspicious behavior. To do this, they have developed a surveillance system that analyzes material captured by drones.

Developed as part of a jointresearch program of the Brno University of Technology and the Police of the Czech Republic, the new system uses neural networks to decode data. In addition to observing and controlling crowds, scientists say it can be used to control traffic.

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The material captured by the drone is divided into moresmall cells. Then the system analyzes and creates an overall picture of what is happening. After that, she develops a model of behavior in a standard environment, and then compares the anomalies - if any, the device informs the researcher about it.

The big advantage of this system is that it learns and executes the program in real time so that the police don't have to waste time making decisions.

During the tests, scientists asked for the systemwatch the players on the field. Then some of them were ordered to lie on the ground. The system immediately alerted the observer to the anomaly, the report said.

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