In Karelia, the police were the first in Russia to receive a license to use a neural network for searching for missing people, according to Vadim Kuroptev, Head of Flight Operations at the Center for Information Technology, Communications, and Information Protection of the Ministry of Internal Affairs of Karelia. This experience, previously used in the republic, is now being spread throughout the country.
The interregional round table "Application of Neural Networks and Drones for Searching 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 NTI for the use of a neural network. After receiving an application from the relevant criminal investigation unit, the unit moves to the search event location. Due to the fact that we do not have a lot of 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. There are already first rescued.
The NTI Foundation 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 further - 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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