Published Paper Details:

Fire is a naturally destructive force that is highly useful if it is used in a controlled manner in various applications. Uncontrolled accidental or forest fire has the ability to cause massive damage and wreak havoc on property and life. The fire has the potential to destroy massive amounts of the forest as well as structures which can lead to loss of life and property on a very large scale. The conventional approaches for fire detection are highly limiting and expensive to implement as they require specified sensors. Therefore the detection of fire through image processing approaches is a novel breakthrough and where are researches regarding this topic have been discussed in detail in this survey paper. These approaches have been instrumental in designing our approach for the purpose of fire detection through analysis of the color of the fire the shape and the motion through temporal analysis. The implementation of the machine learning approach in the form of a decision tree also bolsters this methodology which will be elaborated further in the upcoming editions of this research.