Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023)

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Survey On Smart Siren to Alert Animals About Train Tracks in Image Processing

Authors
Alfored George Charles Prem1, *, Rajakumar Singarayan2, Subraja Rajarethnam3, Nalini Mohan4
1Dept. of ECE, Panimalar Engineering College, Chennai, India
2Dept. of ECE, Panimalar Engineering College, Chennai, India
3Dept. of ECE, Panimalar Engineering College, Chennai, India
4Dept. of ECE, Panimalar Engineering College, Chennai, India
*Corresponding author. Email: alforedagc@gmail.com
Corresponding Author
Alfored George Charles Prem
Available Online 17 October 2023.
DOI
10.2991/978-94-6463-250-7_21How to use a DOI?
Keywords
—Smart siren; Train tracks; Early Warning
Abstract

Animals frequently come into contact with the trains that utilize railway lines, which puts them in grave risk. Many fatalities are caused each year by the inability of animals to escape accidents at the high speeds of trains. A smart siren system that employs image processing technology to find animals on or near the train tracks and warn them of an approaching train can be created to solve this issue. The proposed system captures an image of the surrounding region using cameras that are installed on the sides of the tracks. After that, computer vision algorithms are applied to these photographs in order to identify any nearby animals. Animals may hear the sound that is emitted by a smart siren when it is triggered after it detects animals. To guarantee that animals are warned of the impending train in advance, the siren can be installed at various points along the tracks. This approach can encourage coexistence between animals and people while drastically reducing the amount of animal deaths on railway lines. Overall, the smart siren system suggested in this research can provide an innovative and effective solution to stop animal collisions with trains and to increase safety for both humans and animals.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023)
Series
Advances in Computer Science Research
Publication Date
17 October 2023
ISBN
10.2991/978-94-6463-250-7_21
ISSN
2352-538X
DOI
10.2991/978-94-6463-250-7_21How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Alfored George Charles Prem
AU  - Rajakumar Singarayan
AU  - Subraja Rajarethnam
AU  - Nalini Mohan
PY  - 2023
DA  - 2023/10/17
TI  - Survey On Smart Siren to Alert Animals About Train Tracks in Image Processing
BT  - Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023)
PB  - Atlantis Press
SP  - 114
EP  - 118
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-250-7_21
DO  - 10.2991/978-94-6463-250-7_21
ID  - Prem2023
ER  -