Camera Based Flood Detection And Recognition With Wireless Sensor Network; In Case Of Awash Fluvial

Abstract

Camera based wireless senor Network (WSN) is active and hottest research area of Computer Science. It is mainly applied by the most of the researchers in the areas of E-health, military, surveillance, Industrial and Environmental monitoring application. In Flood detection and recognition, wireless sensor network commonly used for monitoring environment from flood disaster. Awash fluvial affects communities by damaging property and loss of life. There are no technologies that applied to detect flood and provide information to save community from flood disaster. In this paper, we study how to protect Awash fluvial from community by develop a prototype camera based flood detection and recognition with wireless sensor network. To achieve the objective specifically classified into two part such as networking and processing module. First moduleusedtocollect image using sensor camera and transmitted to base station. Second module processing, at this stage, pattern matching the unknown imagewhich is given as inputand the stored reference model are compared using SVM for the purpose of training the model and detect the image and provide information. SVM classifier is used to identify either flood is occur or not. The proposed solution have high rate of accuracy when compared to existing related work research with respect to Position, Illumination and expression as well as it takes low training and Testing time. By using YCbCralgorithms with SVM Classifier the accuracy of recognized face is an average rate of 96.44%.It I also identified that, the image input from real world through sensor camera and processed through external database are also determine the rate of accuracy.