Crackholes

Potholes and Crack Identification

SDG Category:

Sustainable Cities and Communities

Project Type: 

Image Recognition

Can AI Fix Our Roads?

This was the challenge the Crackholes team set out to tackle. Their AI-powered system revolutionizes road maintenance by identifying and prioritizing repairs in real-time.

 

What It Does:

  • Detects potholes and cracks using AI-powered image analysis from CCTV, car cameras, and user photos.
  • Pinpoints damage with GPS integration for accurate location tracking.
  • Collaborates with road management companies to streamline repairs and resource allocation.

Why It’s Amazing:

Crackholes enhances road safety, optimizes repair efficiency, and saves costs, paving the way for safer, smoother roads for everyone.

 

Check out their idea here!

https://drive.google.com/file/d/1wQJLbl1-PhE-vRdf0KhxBRuNZhbgMc38/view?usp=sharing

How can this project be taken to the next level?

  • Predictive Maintenance
    Integrate machine learning models that predict when and where new cracks or potholes are likely to form based on historical data and environmental factors. This could help proactively plan repairs before damage becomes critical.
  • Damage Severity Classification
    Use AI to classify the severity of the damage, offering specific repair timelines and cost estimates, helping road management companies prioritize high-risk areas.
  • Integration with Traffic Management Systems
    Link Crackholes with traffic management systems to optimize repair schedules around peak traffic times, reducing road closures and minimizing disruptions.