Case Study

Achieving 37% Leakage Reduction through AI Sensors in the UK

Northumbrian Water and FIDO Case Study


Related Topics

Leak Detection

Artificial Intelligence


Northumbrian Water Limited (NWL) has set itself a target of reducing leakage across its network by 17.5% by 2025. NWL has struggled to reach their leakage commitment the last two years due to having a limited number of technicians and not having many permanent fixed leakage sensors.

NWL asked FIDO to target an initial 15 problematic District Metering Areas (DMAs). These DMAs were an average of 18km in size and 2023 properties, with an average pipe material of 62% metallic and 38% plastic.


FIDO deployed FIDO sensors at regular intervals across the targeted DMAs. These were left overnight in order to generate a ‘leak’ or ‘no leak’ result using FIDO AI.

FIDO used FIDO sensors at each generated point of interest (POI) to further pinpoint the leak location and mark up the blue line ready for NWL to promote to dig & repair. Each DMA took between 5-7 days to complete. FIDO Direct provides all hardware, software and operational resource.


  • 9.2 Average reduction per DMA (m3/hr)
  • 2.45 Total reduction across targeted DMAs (Ml/d)
  • 37% Average reduction across targeted DMAs (m3/d)
  • 110 Total leaks located across targeted DMAs

The FIDO Ai trial in Essex and Suffolk Water…was able to identify intermittent private side losses that may have gone unidentified with conventional leakage control methods and acoustic logging. 

– Leigh White, South Area Leakage Manager, Northumbrian Water
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