An Open-Source Wildlife AI Research to Tackle Human-Elephant Conflict in Sri Lanka
Access our AI models, wildlife datasets, APIs, codebase, project documentation, and open-source tools – all in one place.
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What We Do
At Mpowerr HECMS, we aim to bridge the gap between wildlife conservation and open-source AI research. Our mission goes beyond just solving one problem — we’re building a foundation for ethical, transparent, and impactful solutions to support human-wildlife coexistence, powered by Mpowerr.
Elephant Monitoring AI
Real-time smart camera system using AI to detect elephants near village borders, enabling quick response to save lives.
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AI Model Training
We offer computer vision model training services using the same expertise behind our wildlife monitoring systems.
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Elephant Detection API
We provide a real-time elephant detection API, helping developers and organizations integrate smart monitoring into applications.
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Open-Source AI Models
We offer high-quality, open-source AI models trained by us on wildlife data to effectively track animals in real-world environments.
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Open-Source Datasets
We provide high-quality, annotated, open-source wildlife datasets to support AI innovation and real-world conservation efforts.
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Community Collaboration
We work with conservationists, NGOs, researchers, and communities to improve and scale solutions for real-world impact.
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What We Built — HECMS: An AI-Powered Wildlife Conflict Mitigation Platform
Mpowerr HECMS is more than just an idea — it's a fully developed, open-source solution built to support efforts in tackling human-elephant conflict through technology, research, and collaboration.
- Wildlife Detection Models
- Annotated Datasets
- Codebase & Docs
- Community Contributions
- Real-Time Detection API
- Open-Source Tools
Why We Built HECMS — Born from Challenge, Focused on Coexistence, Shaping the Future of Conservation
Village Vulnerability
Many rural communities lack early warning systems, leading to intrusions that damage homes, ruin crops, and risk lives.
Border Conflict
Elephant movements near forest edges often go unmonitored, causing more encounters and tension in settlements.
Elephant Risk
Elephants entering human areas face increasing dangers like road and train accidents, often leading to injury or death.
Manual Monitoring
In many villages, farmers rely on night watch for elephants. Monitoring is unreliable and puts them at risk during encounters.
How HECMS Helps — Empowering Communities, Protecting Wildlife, Advancing Coexistence with Technology
HECMS helps wildlife and communities coexist in peace. It strengthens community safety and provides valuable data for ongoing research and conservation.
Rural Villages
Helping local authorities detect elephant movement early, send alerts, and reduce danger to families and crops.
Border Zones
Monitoring elephant movement near protected areas to understand migration and prevent intrusion.
Wildlife Safety
Protects wild elephants from harm by safely guiding them away from nearby human danger zones.
Research Use
Universities and research labs use HECMS datasets and models to study wildlife behavior and test algorithms.
Why We Made HECMS Open-Source — Driving Collaboration, Scaling Innovation, Transforming Conservation Through Openness
Built in Sri Lanka, but shared with the world — HECMS is a foundation others can build on, adapt, and expand.
Our Philosophy
We believe open access drives innovation, inclusion, and meaningful long-term impact.
Global Adaptation
Across diverse terrains, open access lets communities tailor HECMS to their unique ecosystems.
Open Collaboration
We invite conservationists, communities, and developers to contribute, adapt, and improve HECMS.
Open Science
Universities and researchers use our findings to test ideas and advance conservation science.