AI-Powered Seismic Sensors Could Stop Deadly Elephant-Human Conflicts
Researchers have developed a system using underground sensors to detect and track elephants before they raid villages, achieving 89% accuracy in identifying elephant footsteps from up to 30 meters away. The technology offers a low-cost early warning solution for regions where human-wildlife conflict threatens both rural livelihoods and endangered elephant populations.
Originaltitel: Seismic Detection of Elephant Footsteps
<p>As human settlement expands into the natural habitats of wild animals, the conflicts between humans and wildlife increases. The human-elephant conflict causes a tremendous amount of damage, often to poor villages close to the savannah. In this paper, we continue our earlier reported research on a geophone network aimed for elephant localisation by focusing on the detection challenge. We have now collected larger sets of seismic data with footsteps from both elephants and other big animals including humans. To detect the footsteps, a method is developed that analyses features of the geophone signal, which are then compared to those of an elephant footstep. The method detects 54 % of the footsteps and has a classification accuracy of 89 %. Subsequently, the detected elephant footstep is used to calculate the direction of arrival (DOA) angle using a delay-and-sum beamformer. The direction to an elephant is estimated with good precision on distances ranging from 8 to 30 meters. This research, not only, showcases a practical solution for mitigating human-elephant conflicts, but also underscores the potential of seismic technology in wildlife management and conservation efforts.</p>