Data and AI · water and sewer engineering

Predicting sewer pipe deterioration with CCTV and AI

A machine-learning classifier that flags sewer pipes likely to be deficient, so inspection effort goes where it matters.

Results

  • 25,674pipe records used for training
  • 84%recall on test data
  • 85%of deficient pipes flagged on 100 newly CCTV-inspected sections

Where it was presented

  • XXXI Latin American Hydraulics Congress (IAHR, 2024): oral presentation and full paper in the proceedings, pp. 1928–1936, with M. L. Gallego Jaramillo.
  • 10th Grupo EPM Suppliers and Contractors Meeting, Technical Sessions (2023): co-presenter of the model, with M. L. Gallego Jaramillo.

All publications

Tools

  • Python
  • pandas
  • Jupyter
  • Machine learning
  • CCTV
All projects