AI case study

WWF GermanyGhost net detection

Sonar review meant checking raw footage frame by frame. AI now scans hours of data to pinpoint targets for recovery.

Published|3 months ago

Key results

Detection Accuracy
~95%
Nets Recovered
35 tons

Result highlights

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The story

Context

A leading environmental organization tackling the crisis of "ghost gear," where lost fishing nets drifting in the oceans kill over 100,000 marine animals annually.

Challenge

While sonar offers the best method for locating underwater hazards, reviewing the footage required teams to manually inspect hours of raw scan data...

Solution
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Scope & timeline

  • ~127 hours of sonar data donated by community

Quotes

The company

WWF Germany logo

WWF Germany

wwf.de

Non-profit organization dedicated to nature conservation and wildlife protection.

IndustryNon-Profit & Social Impact
LocationBerlin, Germany
Employees251-1K
Founded1963

The vendor

ROLE IN THIS CASE STUDY

Provided the Microsoft Azure cloud platform and AI expertise via the AI for Good Lab to build GhostNetZero.

IndustrySoftware & Platforms
LocationRedmond, WA, USA
Employees100K+
Founded1975

The implementation partner

Accenture logo

Accenture

accenture.com
IndustryProfessional Services
LocationDublin, Ireland
Employees100K+
Founded1989

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