Seismic Spectrogram based Elephant Detection System

This paper presents the design, development, and implementation of a real-time seismic-based elephant detection system aimed at mitigating human-elephant conflicts. The system leverages geophones to detect seismic infrasound signals produced by elephant movements. A low-noise amplifier conditions the weak seismic signals, which are then digitized and processed using an Arduino-based microcontroller. Advanced signal processing techniques, including spectral analysis and feature extraction, are employed to distinguish elephant rumbles from background noise such as environmental vibrations. The system provides early-warning capabilities through audible alarms and SMS alerts, offering immediate notification to authorities and local communities. The proposed detection mechanism demonstrates high sensitivity and specificity, making it an effective solution for both real-time monitoring and data collection for long-term conservation efforts. The system’s low-cost, energy-efficient design makes it suitable for deployment in remote wildlife habitats, contributing to sustainable conservation practices and enhancing human safety in areas prone to wildlife intrusions.