Case Study: Nature Preservation – Protecting Wildlife with Autonomous Intelligence

October 3, 2025

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Challenge

Protected areas in Thailand,including Kui Buri and Kaeng Krung National Parks, face rising human-elephantconflicts due to habitat encroachment. Traditional ranger protocols:

·      Are labour-intensive and high-risk

·      Provide limited situational awareness

·      Often react too late to prevent conflict

The need:real-time, autonomous tracking to detect elephant movement and enable earlyintervention.

 

Our Solution

Our Nature Preservation is an ecosystem that includes Herd Tracking, a model solution that integrates:

·      AI-trained models for elephant detection

·      Autonomous drone navigation for extended, remote coverage

·      Edge computing for real-time decision-making

·      Ranger-friendly interfaces for rapid response

The system was trained using over 5,000 images and videos collected from both field deployments and controlled environments at Aalborg Zoo.

Project Milestones

Outcomes

  • 60% reduction in manual monitoring hours
  • 40% fewer delayed detections of elephant herds
  • No ranger injuries during test deployments
  • Ongoing collaborations with local stakeholders and WWF for further rollouts
Our collaboratin with Robotto has been truly remarkable. Together, we've developed custom solutions that integrate their fast-evolving drone and AI technology with our conservation initatives. This partership has allowed us to gathre precise data and monitor threatened ecosystems in real time, greatly enhancing our ability to protect biodiversity and take targeted actions.

 

Tagged:
Nature Preservation

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