Automated control of fire suppression system based on fire detection and recognition data using machine learning

One of the key aspects of building and structure safety is an effective fire suppression system. This paper presents a study on the automated control of fire suppression system using fire detection and recognition data from machine learning techniques. The task of automatic fire recognition is critical to ensure safety in buildings and industrial facilities. In this context, machine learning is a powerful tool for realizing automation and improving the efficiency of fire suppression system. The proposed system demonstrates high accuracy and performance in recognizing fire and making decisions to activate the fire suppression system. The results of the study can be useful for designing more efficient and automated fire suppression systems, providing a quick response to a possible fire and minimizing potential damage.