A cost-effective, AI-powered system combining edge computing, geophone & PIR sensors, and long-range wireless communication to protect rural communities from human-elephant conflict.
Human-elephant conflict (HEC) is one of the most serious challenges in Sri Lanka, particularly in rural and agricultural regions. Elephants frequently venture out of their traditional ranges due to deforestation and habitat loss, destroying crops and causing fatalities.
Rapid deforestation forces elephants out of natural habitats into farmlands.
Agricultural communities face severe economic losses from elephant raids on crops.
Encounters between humans and elephants result in injuries and deaths annually.
Rural areas lack the connectivity needed for real-time monitoring solutions.
Geophone and PIR sensors capture ground vibrations and heat signatures to identify elephant movement with high accuracy.
TinyML models (TensorFlow Lite) run on ESP32/Raspberry Pi to classify threats in real-time without cloud dependency.
Long-range, low-power wireless network transmits alerts across rural areas with no internet infrastructure required.
Non-lethal sound and light deterrents trigger automatically upon confirmed elephant detection to safely repel intrusions.