Road Damage and Fire Detection using SVM Classifier

Most of the rural and sub urban roads are not ideal for driving due to faded lanes, irregular potholes, improper and invisible road signs. This has led to many accidents causing loss of lives and severe damage to vehicles. Many techniques have been proposed in the past to detect these problems using image processing methods. But there has been little work specifically carried out for detecting such issues. To address this acute problem, the study is undertaken with the objectives like, to make a survey of Indian roads, to suggest the method to potholes and signs and their classification and to suggest automated driver guidance mechanism. In this regard, shape features method which adopts edge directed features Therefore; the attempt is made to invent an automated driver guidance mechanism to make the driving safe and easier in roads. The experimental results obtained are tested by taking videos which consists of fire and path holes to make the proposed system complete. Support vector machine is used for the classification purpose.