A Prototype Model to Detect Elephants near the Railway Tracks

Abstract

Artificial Neural Network (ANN) technologies are becoming very popular. It has been used almost in all the research areas. Approach in this paper is to develop an automated expert system to drive away Elephants found near the railway tracks to stop the casualties of these animals on the railway tracks. In this paper, a prototype model has been designed using Geophone Sensors which recognizes the vibrations of the Elephants roaming near the railway tracks. These vibrations are sent to the nearby servers with the help of Arduino. The server runs software based on the ANN model developed here. It detects the exact position of the Elephants present near the railway tracks and raises an alarm to drive them away.

Lora Based Elephant Detection System Near Railroads

“…[7] "Design and Development of a Fog-Assisted Elephant Corridor over a Railway Track": presents a design for a fog-assisted elephant corridor that could be used to reduce elephant collisions with trains on railway tracks. [8] "Deep Vision Based Surveillance System to Prevent Train-Elephant Collisions": proposes a surveillance system that uses deep learning techniques to detect elephants near railway tracks and prevent collisions. [9] "Survey Paper on Elephant Tracking using Acoustic Sensor": provides an overview of the use of acoustic sensors for elephant tracking and presents various acoustic signal processing techniques.…”