Journals Proceedings

Abstract

Wireless sensor networks (WSNs) have been emerging as one of the most promising research areas in recent years and are widely recognized as powerful means for in situ observations of events and environments over long period of time. The wide spectrum of WSNs can offer application such as environment and habitat monitoring, healthcare applications, home or industrial automation and control, product quality monitoring and security purpose. Our necessary requirement to protect and maintain forest and environment application manually is very difficult. So, camera will be mounted above the tree level & capture the images and compare with previous image data base with full trees available. So, by using image processing pattern matching technique mismatching can be detected. The present pattern of trees will be matched with data base & if any changes detected then the illegal cutting of trees can be identified. The application works under low power requirements, establishing a wireless sensor network and routing protocol that connects the battery-powered sensors to a central server. From there, alerts are sent to control room if the application recognizes the sound of a chain saw cutting down a tree. In order to achieve the large area coverage, wireless sensor network has to be used. The sound analysis and recognition is performed in this network. The sensor network “listens” to environment, records the sound by microphone and changes time domain to frequency domain by Fourier transform. Data provided by Fourier transform are still too large for being transferred to other parts of the network data about trees avaibility, recognizes the sound of a chain saw cutting down a trees.