AI detects potholes in UK roads before they happen

Pothole detection is moving beyond eyes-on-the-street and frustrated outreach to a local government representative…

The development of pothole detection technology continues to advance as local governments seek proactive solutions to road maintenance challenges. Hertfordshire County Council in the UK is testing an AI-powered road scanning system that could transform how municipalities identify and address road surface deterioration before it becomes problematic.

Project Overview: Hertfordshire County Council is conducting trials of the ARRES Eye scanner, developed by Robotiz3d, to detect potential road surface issues before they develop into potholes.

• The AI-powered scanner can be mounted on council vehicles to collect data during routine operations
• The system identifies potholes, cracks, and areas of weakness across the road network
• Engineers receive real-time data about the dimensions, location, and severity of road defects

Technical Implementation: The scanner employs sophisticated laser technology to analyze road surfaces and track deterioration patterns over time.

• Multiple surveys of trial routes are being conducted over several months
• The system detects minute changes in road surfaces that typically worsen during cold and wet winter conditions
• Scientists from Robotiz3d are working closely with the council to refine the technology based on real-world implementation

Operational Benefits: The AI system enables a more strategic approach to road maintenance and repair planning.

• Highway engineers can more effectively plan road resurfacing programs
• The technology allows for preventative maintenance rather than reactive repairs
• Early detection of potential issues could lead to more cost-effective road maintenance

Resource Allocation: The council is backing this technological initiative with additional funding for road maintenance.

• A proposed £6m increase in next year’s highway maintenance budget has been announced
• The investment reflects the council’s commitment to addressing infrastructure challenges
• The funding will support both traditional repairs and innovative prevention methods

Looking Ahead: While this AI-powered detection system shows promise for transforming road maintenance practices, its long-term effectiveness will depend on successful integration with existing maintenance workflows and the ability to accurately predict pothole formation. The technology’s performance during the extended trial period will be crucial in determining its potential for wider adoption by other municipalities facing similar infrastructure challenges.