Blackpool used satellite images and AI to fix 5,145 potholes for £450,000, not £1.5m

In a February 2020 BBC report, Blackpool Council says an AI pilot saved more than £1m of taxpayers' money. The council says it was the first local authority to use AI technology to detect road damage. It uses satellite images to inspect roads in seconds instead of sending engineers, and was trialled in Anchorsholme and Bispham.

The technology, piloted in summer and then made permanent, detects damage and uses a traffic-light colour-coding system to decide what action should be taken. The council says earlier detection lowers repair costs.

It says 5,145 potholes were fixed in North Shore for just under £450,000, which would have cost £1.5m by traditional methods. The savings will be used to improve more roads.

Let AI read satellite images of the roads, and fix damage early with traffic-light priorities.

Satellite imagery covers whole roads far faster than inspection visits.

Fixing damage early keeps repairs small.

A colour code makes triage straightforward for road crews.

Cheap early detection beats expensive late repair; automate the inspection step and triage by colour code.

The council rolled the scheme out permanently and plans to spend the savings on more roads. The savings figure comes from the council itself, and the BBC report cites no independent audit.