Precision Coral Metrics AI (CM-AI)

⚡ Overview

CM-AI is an industrial-grade vision skill leveraging the YOLOv11 + MobileSAM hybrid architecture. Designed for marine ecologists and environmental agencies, it replaces error-prone manual reef assessments with rapid, pixel-perfect coral coverage analysis.

🚀 Key Capabilities

1. High-Fidelity Detection: Precisely locates coral colonies in complex, high-noise underwater backgrounds using YOLOv11.
2. Pixel-Perfect Segmentation: Leverages MobileSAM for refined mask extraction, ensuring accurate area calculation even for overlapping organisms.
3. Automated Metrics: Instantly calculates the Coral Coverage Ratio (%) and identifies individual colony counts.

📈 Roadmap

• v1.2.0: Genus-level identification (e.g., Acropora, Brain Coral, Montipora).
• v1.3.0: Fully automated transect data extraction and biodiversity index analysis.

🔒 Security & Access (OpenClaw Protected)

> [!CAUTION]

> This skill is strictly integrated with the OpenClaw API Gateway. To protect backend GPU resource integrity, direct non-gateway traffic will be automatically blocked.

> Developer royalties are settled via the OpenClaw monetisation protocol.

🛠️ Integration Example

All requests must follow the OpenClaw standard authentication:

POST https://api.openclaw.io/v1/skills/coral-ai/predict
Headers: X-OpenClaw-Token: <YOUR_TOKEN>
Body: multipart/form-data (key: 'file')

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