The video analysis system was developed by Beeline’s big data and artificial intelligence team, connected to CCTV cameras and configured to cover the required area to detect whether the coal temperature has increased to a critical level, and identify and report smoke and fires.
To train the video analysis model against false positives, we use, among other things, video images of vehicles with a hot engine or exhaust system, movements of factory employees and birds. An important element was the installation of the system to record the dynamics of temperature changes in the stored coal piles throughout the day.
The measurement result is displayed in real time on the shift dispatcher’s console. When suspicious temperature increases occur, the system notifies the officer on duty and also automatically transmits data about the incident through the API program interface.
The thermal imaging module of selected cameras with a viewing angle of 45°, unlike a conventional optical one, retains its functionality even in conditions of fog, snowfall, rain and other precipitation. The thermal imaging camera does not require illumination of the object and sees the “warm” glow of the body and its movement even in the dark. The complex can determine the temperature of objects from -40 to 550°C, which makes it possible to effectively detect overheating of objects and the risk of fire. To measure temperature, the company uses a sensitive medical thermal imaging complex; the error when measuring body temperature remotely does not exceed 0.6°C without a specialized calibrator.
When creating a network over a vast territory, companies used direct communications. The introduction of a multifunctional system in open warehouses made it possible to guarantee additional safety for employees, eliminating the need to once again approach the coal chimneys to measure the temperature and minimizing the risk of injury due to possible spontaneous combustion.
Author:
Irina Pecherskaya
Source: RB

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