Abstract
The paper considers algorithmic and software for early fire detection based on smoke detection from video sequences
 generated by a static video camera. To detect areas with smoke, an algorithm has been developed that allows
 you to select such areas on video frames that are characterized by a number of features: the presence of a stable
 directional movement, compliance with the color characteristics of smoke, and a decrease in the energy value of highfrequency
 components relative to the background model. The feature of the algorithm is a step-by-step spatiotemporal
 analysis of candidate areas, which provides satisfactory computational costs and real-time operation
 on modern computing tools for high-resolution video frames. The algorithm is implemented using the functions
 of the OpenCV computer vision library and multi-threaded processing. The features and main functionality of the software
 implemented as a stationary application are given. The results of experimental studies on the evaluation
 of the efficiency of the algorithm and its speed are presented.
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