Detection And Accident Prevention Of Animals in Railway Track Using AI And IoT

Author(s)	Madhupriya, Vaniprabha
Country	India
Abstract	Railway is the most widespread and welcoming transportation system of most of the large cities in the world. The real-time observation and control methods proposed in this research are based on the Internet of Things and function autonomously without external intervention. There are several ways that IoT might improve the railway system. Railway automation has the potential to revolutionize existing legacy systems and significantly reduce railway-related incidents. The proposed method for identifying and recognizing animals and humans has been tried and refined. Implement real-time control and automated monitoring of different parameters relevant to the railway. Build a fully automatic process that reduces human involvement and retains energy.
Keywords	Railway System Animal Accident AI Object Detection YOLOv3
Field	Engineering
Published In	Volume 6, Issue 5, September-October 2024
Published On	2024-10-18
Cite This	Detection And Accident Prevention Of Animals in Railway Track Using AI And IoT - Madhupriya, Vaniprabha - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.21754
DOI	https://doi.org/10.36948/ijfmr.2024.v06i05.21754
Short DOI	https://doi.org/g8nqb4

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International Journal For Multidisciplinary Research