Machine Learning for UK Rivers and Waterways

Automated processing of CCTV cameras to monitor rivers

People:

Professor Hywel Williams, Dr Remy Vandaele 

Partners:

Staffordshire County Council, University of Reading

Technical approaches:

Image analysis & computer vision, Machine learning

Challenge areas:

Water systems, Natural hazards

Project utilising Computer Vision and CCTV to automatically identify when sluice gates in local rivers have become blocked with rubbish and to classify the nature of such blockages.

This approach supports decision-making around the deployment of maintenance teams, saving time and improving river quality, whilst also supporting flood prediction and prevention. 

Part of and funded through the Staffordshire and Black Country flood information service FAIR (Flood: Aware, Informed and Resilient)

Find out more about the Machine Learning for UK Rivers and Waterways project