Deep Blue

Problem

Sunflower sea stars have experienced a 90.6% population decline since 2013 due to Sea Star Wasting Disease. Traditional deep-sea research is limited by diver depth restrictions, high costs, and inefficient data collection methods.

Approach

The team developed DeepBlue, a cost-effective underwater ROV equipped with cameras, GPS, sonar, and AI-driven detection. It automates sea star detection and data collection, improving precision and accessibility for marine research.

Solution

DeepBlue enables efficient surveying of echinoderm populations with real-time visualization and automated navigation. It generates accurate species distribution maps while reducing manual effort and research costs.

Team Members

Sam Cole

Haokun Feng

Kaiwen Men

Ziqi Gao

View the team's poster here (PDF)

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