About
Human–elephant conflict is a major safety and conservation challenge in many rural areas. Our solution uses a network of low–power sensors (acoustic/thermal/motion) and a compact AI model running on edge devices to identify elephant presence in real time. When the system detects a risk, it triggers local alarms and visual warnings so people can safely avoid the area. The design is low-cost, solar-capable, and built to operate offline, so it works in remote locations.
Problem
Rural roads near forests are hotspots for accidental human–elephant encounters.
Mission & objectives
- Reduce human–elephant encounters with early detection and rapid local alerts
- Real-time detection at critical hotspots
- Instant local alert (siren/LED/voice) to warn people nearby
Who it helps
- Villagers and commuters using forest-edge roads
- Forest & wildlife authorities
- Local schools and farmers
- Elephants—less stress and fewer retaliatory incidents
Solution overview
- Sensors detect movement/sound/heat near the road
- Edge device (Raspberry Pi/microcontroller) + AI classifies elephant presence
- Immediate alert (siren/LED/voice) triggers for people nearby
- Dashboard/Cloud update for authorities