Train Accident Prevention System

Authors

  • Prof. Sharayu Deote  Computer Engineering, Cummins College of Engineering for Women, Nagpur, Maharashtra, India
  • Ritu Kotalwar  Computer Engineering, Cummins College of Engineering for Women, Nagpur, Maharashtra, India
  • Ketaki Patil  Computer Engineering, Cummins College of Engineering for Women, Nagpur, Maharashtra, India
  • Sayali Rathod  Computer Engineering, Cummins College of Engineering for Women, Nagpur, Maharashtra, India
  • Shifani Sheikh  Computer Engineering, Cummins College of Engineering for Women, Nagpur, Maharashtra, India

Keywords:

Deep Learning, Neural Network, Object Annotation, Object Recognition, Python , TensorFlow Lite Tool

Abstract

Railway accidents are one of the major issues evident in India. The main objective of this study is to develop and implement an accident prevention system on railway track. The system developed is able to detect obstacles including crowd of humans, animals or any vehicle stuck on railway track. It is also useful in the hilly region where land sliding occurs. It detects the obstacles at a distance greater than the loco pilot

References

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International Journal of Scientific Research in Science and Technology

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Published

2020-03-21

Issue

Volume 5, Issue 7, March-April-2020

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prof. Sharayu Deote, Ritu Kotalwar, Ketaki Patil, Sayali Rathod, Shifani Sheikh "Train Accident Prevention System" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 5, Issue 7, pp.309-312, March-April-2020.