AI Monitoring
REEFAVISION
Computer vision for early detection of coral health changes and progress monitoring.
The Problem
Manual reef monitoring is expensive, slow and inconsistent. By the time bleaching or disease is noticed, much of the damage is already done — and progress is hard to quantify.
How It Works
REEFAVISION uses computer vision on underwater imagery and video to detect early signs of bleaching, disease and growth changes. It tracks restoration progress over time and generates field-ready reports for teams and stakeholders.
Technical Notes
Deep learning vision models trained on coral health datasets. Runs on standard underwater imagery and integrates with REEFA dashboards.