Levelled

Predicting sinkholes using 3D image reconstruction and predictive modelling

SDG Category:

Climate Action

Project Type: 

Image Recognition

Can AI and Muons Predict Sinkholes?

This is the innovative solution using Muon tomography and AI to provide early warnings about sinkhole formation, ensuring public safety and infrastructure protection.

 

What It Does:

  • Utilizes cosmic ray muons to create 3D models of underground structures.
  • AI-driven deep learning reconstructs images and predicts sinkhole risks.
  • Generates risk maps and detects hidden cavities before they form sinkholes.

 

Why It’s Amazing:

By combining muon technology with AI, this system provides a proactive approach to detecting sinkholes, safeguarding lives and property, and reducing costly repairs. It’s a breakthrough in infrastructure protection and risk management.

 

Check out their idea here!

https://drive.google.com/file/d/1GFb77MpAqTVBn3COFbacZt5FnhvmY6Gh/view?usp=sharing

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How can this project be taken to the next level?

  • Crowdsourced Traffic Data
    Allow users to contribute real-time data from their vehicles (e.g., through a mobile app), enhancing traffic flow analysis and improving prediction accuracy.
  • Public Transport Integration
    Link the system to public transportation schedules and optimize both car and bus/train timings, making the entire transportation network more synchronized and efficient.
  • Sustainability Metrics
    Implement AI that not only analyzes traffic congestion but also suggests sustainable alternatives, like cycling routes or walking paths, helping reduce carbon emissions.