Computer Vision based Real-Time Fire Detection and Precision Sprinkler System using HSV Colour Algorithm in Densely Inhabited Zones

Abstract

Places packed with people like shopping centers, train stations, airports, and office buildings used single sensors to discover fire for many years. But these sensors have limitations they can't tell how big the fire• is to alert the system or respond swiftly to put it out. This study hopes to solve that by introducing a smart system that can spot a fire and stop it with water sprinklers. The new model proposed in this paper looks at several factors such as images of the flames, and the flames' color to alert the CCTV camera. Then the sprinklers are aimed at the right place. The main goal of this system is to keep fires from spreading, reduce the number of false alarms, and minimizes any damages.