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AI Revolutionises Pothole Detection and Repair Efforts

Surrey County Council is set to utilise artificial intelligence (AI) to revolutionise the detection and repair of potholes on its roads. The council plans to deploy computer vision cameras installed in their highways vehicles to automatically identify and photograph potholes, streamlining the repair process.


Surrey County Council is set to utilise artificial intelligence (AI) to revolutionise the detection and repair of potholes on its roads.
Credit: Surrey County Council

This innovative approach will not only target potholes but also extend to identifying other road defects like missing signs and overgrown foliage, all earmarked for prompt repair. By eliminating the need for inspectors to physically assess the roads, the council aims to enhance safety and efficiency in the maintenance process.


Matt Furniss, the council's cabinet member for highways, transport, and economic growth, revealed a substantial investment of nearly £300 million dedicated to road repairs and enhancements in Surrey until 2028. He highlighted the significant progress made, with 100 miles of roads and 30 miles of pavements already resurfaced by the highways teams between April and December 2024.


Furniss emphasised that this proactive approach to road maintenance will bolster the resilience of the highway network, ultimately reducing the occurrence of potholes in the future.

 
  • Surrey County Council embraces AI technology for pothole detection and repair

  • Computer vision cameras in highways vehicles to automate identification and documentation of road defects

  • £300 million allocated for road repairs and improvements in Surrey until 2028


Source: BBC

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