In the Ministry of Emergency Situations of Russia, artificial intelligence helps prevent natural disasters. With the help of a neural network, specialists can predict the beginning of ice drift in advance. To do this, they analyze satellite images, which allow them to assess the structure and composition of ice, as well as detect possible blockages.
Artificial intelligence detects thermal anomalies, many of which turn out to be real fires. This helps firefighters effectively plan their actions and prevent the spread of flames to residential areas.
Information obtained with the help of unmanned aerial vehicles is used to create orthophotoplans and digital terrain models. These tools are necessary for predicting the possible consequences of floods. In the event of natural disasters, specialists use information to assess damage and plan work to eliminate the consequences.
Modern technologies based on artificial intelligence allow rescuers to effectively process information obtained with the help of remote sensing spacecraft.
Earlier in Russia, a neural network was created that can recognize any unknown objects in the photo. The accuracy of image processing and analysis has increased by more than 20%. Developers believe that this product can revolutionize unmanned transport and medical diagnostics, where recognition of unknown objects and visual distortions is required.
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