A multi-disciplinary vision-based fire and smoke detection system

Fire is the result of chemical reactions taking place between the oxygen and the rest of the atmosphere, which on large scales causes an ecological imbalance by giving out bi-products such as smoke. More than 90 Million cases of fire incidents have been reported since 1990 causing loss of life as well as endangered and vulnerable resources. The reason most of the time is unknown, but global warming is cited as one of the factors in the case of forest fires. Through this work, we develop a multi-disciplinary system that reports the traces of fire and smoke under any isolation. The system uses Computer Vision for analyzing and detecting fire or smoke in real-time through a Deep Learning algorithm and alerts back upon found