In Karelia, the police were the first in Russia to receive a license to use a neural network to search for missing people, said Vadim Kuroptev, head of flights at the Center for Information Technology, Communications and Information Protection of the Ministry of Internal Affairs of Karelia. This experience, which was previously used in the republic, is now being spread throughout the country.
The interregional round table "The Use of Neural Networks and Drones to Search for Missing People" is being held online on the NTI platform. Participants are discussing how neural networks help in saving people, and what opportunities exist for testing and scaling these technologies in the regions of Russia.
The Police of the Republic of Karelia is the first structure in the Ministry of Internal Affairs of Russia to conclude a license agreement with the NTI for the use of a neural network. After receiving an application from the relevant criminal investigation unit, the unit advances to the point of search activities. Due to the fact that we do not have so many personnel, the use of unmanned aerial vehicles allows us to drastically optimize our resources and, most importantly, direct people to where they are most needed.
Previously, the Karelian police used drones only for visual observation in search operations. However, operators often lost concentration. Now the situation has improved thanks to the use of a neural network.
Yuri Molodykh, representing the NTI project support fund, noted that the neural network successfully copes with the search for missing people. The first rescued people are already there.
The NTI Fund has begun the process of transferring the neural network to organizations that save people: starting from the LizaAlert search and rescue team volunteers, with whom we jointly conducted tests, and then to other volunteer teams, as well as units of the Ministry of Internal Affairs and the Ministry of Emergency Situations.
Earlier, Russian scientists developed a neural network capable of analyzing eye movements and determining the level of human fatigue. The technology can be used in control systems for transport operators, industrial equipment and other critical facilities.
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