IoT Wildlife Intrusion System
Research prototype for detecting animal encroachment in crop zones using connected sensors.
01 // Overview & Problem Statement
A hybrid IoT system utilizing environmental sensors, motion detectors, and localized warning alerts to guard farm perimeters from animal intrusions.
Crop damage caused by wild animals leads to massive economic losses for farmers and increases human-wildlife conflicts near forest edges.
02 // Methodology & Workflow Pipeline
Constructed sensor clusters using Arduino and ESP nodes. The hardware tracks intrusion parameters and streams data packets to a central receiver, triggering local sound/light deterring systems and remote alerts.
03 // The Solution & My Contribution
Wrote micro-controller logic for sensor reading intervals, integrated threshold logic for warning signals, and built a data logging prototype.
Designed the hardware circuit diagram, wrote low-power sleep state intervals, and collaborated on paper documentation.
Technical Roadblock & Resolution
High battery draw during active Wi-Fi data broadcasts drained power packs. Fixed by implementing deep sleep protocols, only waking the system during sensor interrupts.
LESSONS LEARNED
Physical enclosures require durable water protection for outdoor agricultural deployments; field packaging is as important as circuit design.
FUTURE ROADMAP
- Integrate ESP32-CAM to perform edge-based image classification to identify the exact intruder species.
- Implement a mesh network configuration (ESP-Mesh) to cover wide multi-acre farmland perimeters.
Project Dossier
Evaluation Results
Drafted research paper accepted for presentation at the IMACSI-26 conference (Paper ID: IMACSI-253).
Successfully simulated solar-powered operation cycles for 48 hours without grid supply.