Wireless Sensor Networks using image processing for fire detection

Wireless Sensor Network (WSN) is an influential technology predominantly suitable for eco-friendly monitoring. It provides a low-cost fine-grained detection of hazardous wildfire locations like urban interfaces. Compared with early forest techniques of fire detection, some of the systems are less effective and early prevention system for indications of forest fire is necessary. There is a need for a quick response to the fire detection in hazard and WSN is used to provide a systematic gateway for detection of exact fire location and spreading location. Flame identification based on image processing has been widely used in fire detection. The purpose of this work is to propose a system based on WSN using image processing for fire detection. Remote Image data, segmentation and evaluation is the taxonomy used in this research work that defines each of the necessary components used to implement a fire detection using WSN. It is proposed that the component of the proposed taxonomy is used for the validation criteria. For implementing the WSN system for fire detection using image processing. The solution will act as a pool for the user to understand the necessary elements of WSN for the fire detection system.