Cloud Assisted IOT Enabled Forest Fire Detection System

Abstract

Forest fires tend to happen in wild areas as a result of human negligence and environmental change. They harm the environment and may result in the deaths of humans and wild animals. As a result, forest fires must be detected early in order to avoid further damage. Many existing systems, such as satellite networks, CCD cameras, wired systems, and Bluetooth technology, may provide a comprehensive view of the biosphere, but only after an extensive scan period. This method is ineffective because it only identifies forest fires after they have already started. The cloud assisted IoT enabled technique was proposed as an alternative to traditional forest fire detection methods. The Adafruit cloud server stores all of the real-time analysis values, which are collected with the help of the sensor nodes The Internet of Things is used for a range of functions, including habitat surveillance, intelligent systems, agricultural sectors, security and smart manufacturing. This proposed system consists of a system for measuring temperature, light intensity, and quality of air in order to avoid a disaster (forest fire) that would lead to a substantial reduction in the natural threads. Several tests were performed in this project to demonstrate the system's viability.