ABSTRACT
The Indian Railways one of the world’s largest rail networks, stretches more than 1, 15, 000 kilometers across the entirety of the country. Deep neural networks, as well as other machine learning techniques, have received a lot of interest recently when applied to railroad transportation data in order to detect the animals or people in the railway tracks, Convolution Neural Networks (CNN) is used. They provide a lot of advantages over other techniques, resulting in the season they are most frequently utilized in pattern and image identification tasks. This paper employs Keras python library as the backend as well as Tensor flow, which able to precisely forecast the classification report. For classifier images, the convolutional neural network technique is used. Given that this classifier is a deep learning model, the accuracy will increase as you train it. As an object is detected in the railway tracks, the buzzer will go off near the loco pilot. This system will aid in preventing accidents caused by creatures on rail tracks.
