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15:26, 29 November 2025
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AI Will Help Uncover the Causes of Fires in Russia

A new AI-driven system in Russia is learning to analyze fire-scene photos and automatically generate investigative reports, promising faster case processing and higher accuracy

AI and Public Safety

Russia has launched its first artificial intelligence project designed to assist fire investigators. The initiative, developed by Yandex’s Center for Social Technologies together with the State Fire Service Academy of the Ministry of Emergency Situations (EMERCOM), is already undergoing pilot testing, the ministry reported.

The system runs on Yandex Cloud and leverages tools from Yandex AI Studio. It is trained on a dataset of real fire-scene photographs and previously completed investigation protocols. The neural network analyzes images, identifies key objects and environmental clues, and then generates a structured text report that investigators can use in official documentation.

Reducing Human Error and Standardizing Quality

Valery Malko, associate professor at the State Fire Service Academy, noted: “The system will minimize human error and ensure a consistently high standard of documentation. If deployed nationwide, it could accelerate the processing of thousands of cases, helping investigators identify fire causes more quickly and prevent future incidents.”

Today, specialists spend between 40 and 60 minutes documenting a single fire scene. With AI, the same work can be completed in seconds. The technology was presented at the Congress of Young Scientists in Sirius, where officials discussed expanding the system to all EMERCOM investigators.

AI for Nationwide Safety

The project builds on broader AI-driven safety initiatives already in use across Russia. Smart cameras detect wildfires in forests and flag abnormal events in urban environments, while automated algorithms immediately alert human operators.

Authorities expect the new investigation-assistance system to become a key component of the country’s digital transformation in emergency response.

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