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A problem that developed areas are facing today are death and injuries due to road accidents. Collision between animals and the vehicle on the drive way is one such big issue apart from other issues such as vehicle over- speeding, drunk driving and abrupt lane changes and others which leads to such road accidents. Neural networks (NN) have developed dramatically successful methods to solve prediction problems like, object recognition which often surpasses accuracy of human level. We will work on an algorithm which automatically extract features from images and use them in training process. The dataset used consists of different images, where 70% images will be used for training and 30% images for testing. We successfully received a training set accuracy of 0.9 and test set accuracy of 0.88.