"Our interaction with forest services is another

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Beeline Big Data & AI, together with the Forestry Committee of the Moscow Region, launched a forest monitoring geoservice that, using big data analysis technologies, allows identifying and promptly responding to potentially fire-hazardous situations.

The service analyzes the territory i saudi arabia whatsapp resourcen 500x500 meter squares, the density and movement flows in them in near-real-time mode based on anonymized aggregated data on the load on the operator's base stations. If the density of people exceeds a specified value and does not decrease within half an hour, then such a situation is marked as fire hazardous. The system notifies forestry dispatchers and automatically sends messages to subscribers in the "suspected" square about the ban on making fire and potential fines. The solution is already working in the forest areas of Lukhovitsy, Yegoryevsk, Voskresensk, Orekhoro-Zuyevo, Ramensk and Balashikha.

example of the effective use of big data analytics for regional needs and, most importantly, safety, since any fire is easier to prevent than to extinguish. We have already made a computer vision model for detecting smoke and fire, this project implements a different logic, which is more relevant for forests located near cities. Last year, the area covered by fire in Russia amounted to 4.6 million hectares, I expect that our project with the Forestry Department of the Moscow Region will help reduce this figure by the end of the current year," commented Konstantin Romanov, Director of Artificial Intelligence and Digital Products at PJSC VimpelCom.

"The new monitoring system tracks the concentration of groups of people in the forest fund. This works as a preventive measure and helps our specialists. Taking into account the data received, it is possible to build patrol routes and respond in advance to certain potentially negative moments that occur in the forest. We are primarily focused on ensuring a stable fire safety situation in the forests of the Moscow region, and for this it is necessary to promptly take measures to detect, localize, eliminate forest fires and prevent them," said Evgeny Agulov, Chairman of the Forestry Committee of the Moscow Region.