Automated Railway Crossing and Obstacle Detection

7 Pages Posted: 21 Apr 2019

See all articles by Rahul Shetty

Rahul Shetty

University of Mumbai, K. J. Somaiya Institute of Engineering and Information Technology, Students

Priyanka Patel

University of Mumbai, K. J. Somaiya Institute of Engineering and Information Technology, Students

Akansha Sampat

University of Mumbai, K. J. Somaiya Institute of Engineering and Information Technology, Students

Shubham Shukla

University of Mumbai, K. J. Somaiya Institute of Engineering and Information Technology, Students

Akshay Kumar Singh

University of Mumbai, K. J. Somaiya Institute of Engineering and Information Technology, Students

Pankaj Deshmukh

University of Mumbai - Department of Electronics

Date Written: April 8, 2019

Abstract

The aim of this project is to automate the level crossing using a micro-controller and object detection system to detect objects on the track at the crossing. One of the main problems in railway transportation is the level crossings gate control system. Currently in Indian railways the gate is controlled by a gatekeeper. Whenever the train arrives, that information will be sent to the gatekeeper. Based on that information the gate will be closed and opened by him. If there is any irresponsibility by the gatekeeper, then there will be a big problem. This can be avoided by using an automated railway gate control system which uses sensors that detects the arrival and departure of the train and closes and opens the gates accordingly. Under normal operating condition, when the first sensor is triggered by the train which is approaching the gates, the gates are closed, and when the second sensor is triggered by the train the gates are opened. A camera is installed near the level crossing, which acts as the input video stream, for an object detection algorithm, the object detection is performed in real-time. Thus, if after the first sensor is triggered and then if a pedestrian or a vehicle is detected between the tracks, by this object detection algorithm, then the gates are automatically reopened, to let the stuck vehicle or pedestrian cross. At the same time a signal is sent to the train, to indicate that a vehicle or pedestrian is on the tracks. The gates remain open until the object is detected, as soon as the stuck person or vehicle crosses the tracks, the gates are closed again and a signal is sent to the train, indicating that the tracks are clear. This is done to prevent the subsequent pedestrian or driver from thinking that the train is not in the vicinity. The object detection data is sent in real-time to firebase database, over the internet, and it can be viewed from anywhere using a mobile phone or a computer.

Keywords: Arduino, Nodemcu, TensorFlow, IOT, Machine Learning, Real-time Object Detection, Firebase Database, Python

Suggested Citation

Shetty, Rahul and Patel, Priyanka and Sampat, Akansha and Shukla, Shubham and Singh, Akshay Kumar and Deshmukh, Pankaj, Automated Railway Crossing and Obstacle Detection (April 8, 2019). 2nd International Conference on Advances in Science & Technology (ICAST) 2019 on 8th, 9th April 2019 by K J Somaiya Institute of Engineering & Information Technology, Mumbai, India, Available at SSRN: https://ssrn.com/abstract=3367991 or http://dx.doi.org/10.2139/ssrn.3367991

Rahul Shetty (Contact Author)

University of Mumbai, K. J. Somaiya Institute of Engineering and Information Technology, Students ( email )

Mumbai
India

Priyanka Patel

University of Mumbai, K. J. Somaiya Institute of Engineering and Information Technology, Students ( email )

Mumbai
India

Akansha Sampat

University of Mumbai, K. J. Somaiya Institute of Engineering and Information Technology, Students ( email )

Mumbai
India

Shubham Shukla

University of Mumbai, K. J. Somaiya Institute of Engineering and Information Technology, Students ( email )

Mumbai
India

Akshay Kumar Singh

University of Mumbai, K. J. Somaiya Institute of Engineering and Information Technology, Students ( email )

Mumbai
India

Pankaj Deshmukh

University of Mumbai - Department of Electronics ( email )

India

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