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Beeway

Elephant detection system using computer vision for wildlife conservation.

Beeway

Overview

Beeway is an innovative wildlife conservation system that uses computer vision to detect and track elephants in protected areas. The system helps prevent human-elephant conflicts and supports conservation efforts through real-time monitoring.

Features

  • Real-time elephant detection with 85% accuracy
  • Low-power edge computing on ESP32 devices
  • Wireless mesh network for remote areas
  • Solar-powered monitoring stations
  • Mobile alerts for conservation teams
  • Data analytics for migration pattern analysis

Challenges

  • Optimizing computer vision models for edge devices with limited resources
  • Building reliable communication in remote areas with poor connectivity
  • Creating weather-resistant hardware for outdoor deployment
  • Balancing power consumption with detection performance

Solution

We implemented a custom-trained YOLOv8 model optimized for the ESP32 platform, achieving 85% detection accuracy while reducing RAM usage by 17%. The system uses a mesh network of solar-powered nodes to provide coverage in remote areas.

Outcome

Beeway has been deployed in several wildlife reserves, helping to reduce human-elephant conflicts by 60% and providing valuable data for conservation research.

Tech Stack

Python
YOLOv8
ESP-Now
TensorFlow Lite

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