Drones will be taught to search for missing people using neural networks

UAVs can survey an area of 0.5 square kilometers in 15 minutes, which would take a person more than 4 hours

The National Technology Initiative (NTI) Foundation reported that the use of neural network technologies on drones doubles the likelihood of finding missing people. This was revealed after field exercises conducted within the framework of the "Archipelago-2025" project.

According to Yuri Molodykh, Managing Director of the Center for the Development of the System of Technological Competitions of the NTI, drones are capable of exploring large areas much faster than foot groups.

For example, a team on the ground can survey an area of 0.5 square kilometers in 4-6 hours. At the same time, a drone performs the same task in just 15 minutes, including data collection and processing. This speed significantly increases the chances of rescue, especially in the first days after a person's disappearance.

The exercises took place in the Moscow region. They were attended by 17 teams who exchanged experiences in mastering new skills. Participants tested the operation of complex sensors that can find archaeological artifacts underground. The work showed that neural network technologies can be useful not only in finding people, but also in other areas.

The NTI Foundation emphasizes that the use of drones with neural networks can save the lives of both children and adults. Fast information processing and the ability to cover large areas make this method particularly effective. The probability of finding a person alive on the second day after their disappearance nearly doubles.

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Sources
TASS

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