Patchfinder
Model for Sea Pollution Prediction
SDG Category:
Clean Water and Sanitation
AI Tools Used:
Image Recognition
Can We Clean Up Our Oceans Before It’s Too Late?
This is the problem PatchFinder set out to solve. Using AI-driven predictions and solar-powered drones, PatchFinder efficiently targets plastic pollution in the Great Pacific Garbage Patch and other ocean gyres, revolutionizing ocean cleanup.
What It Does:
- Predicts plastic gyre movement using real-time ocean data.
- Deploys solar-powered drones to monitor and target pollution hotspots.
- Offers a real-time dashboard for effective cleanup planning.
Why It’s Amazing:
PatchFinder accelerates ocean cleanup, reduces costs, and contributes to a cleaner, sustainable future for marine ecosystems—all while promoting the global fight against ocean plastic pollution.
How can this project be taken to the next level?
- AI-Driven Plastic Degradation and RecyclingIntegrate PatchFinder with AI systems that not only identify pollution hotspots but also analyze the type of plastic and its degradation stage. This could help optimize cleanup methods by focusing on plastics that are harder to recycle or breaking down, ensuring more efficient recovery.
- Collaboration with Global Cleanup InitiativesPartner with global organizations and NGOs like The Ocean Cleanup or WWF to expand PatchFinder’s reach. By sharing data on pollution hotspots and collaborating on large-scale cleanup efforts, PatchFinder can maximize its impact and contribute to collective ocean preservation goals.
- AI-Enhanced Marine Life ProtectionIncorporate AI-driven monitoring to detect and protect marine life near cleanup zones. This could involve real-time alerts for marine animals in distress, ensuring that PatchFinder’s operations do not interfere with vulnerable species or ecosystems, thus fostering a more eco-friendly cleanup process.