ILLEGAL DEFORESTATION MONITORING SYSTEM

Abstract

Forests play a fundamental role in preserving the environment and fighting global warming. Unfortunately, they are continuously reduced by human interventions such as deforestation, fires, etc. This project proposes and evaluates a framework for automatically detecting illegal tree-cutting activity in forests through vibration detection and classification. The trafficking and cutting of trees is a long and unresolved issue. The current technology dealing with this issue is expensive to implement. We aim to provide an alternative cost-effective technology to track and monitor cutting of trees. This technology uses magnet, coil, and microcontrollers to detect change in electrical impulses caused by the movement of the magnet inside the coil once it undergoes movement due to vibrations when a tree is being cut. Furthermore, the GPS location of the device is known which would aid us in recognizing area where the vibrations are detected. Real time data is reorganized in monitoring section using IOT, providing further security to the data.