See the ALICS system in action at the CENSIS Tech Summit on 2 November 2023 in Glasgow
A one-of-a-kind platform for the remote detection and classification of faults in concrete structures – developed with support from CENSIS – could lead to increased inspection speed, accuracy, and safety, allowing major asset owners to make significant cost savings.
Developed by the University of Strathclyde’s Advanced Nuclear Research Centre, the platform named ‘ALICS’ (Adaptive Lighting for the Inspection of Concrete Structures), combines advanced methods in image capture, scene lighting and colour with state-of-the-art techniques in artificial intelligence to detect faults in civil concrete infrastructure, including nuclear power plants and bridges.
ALICS’s remote, technological solution could allow civil asset managers to bypass the risks and challenges associated with the manual inspection of a growing catalogue of assets, and as a result, to avoid outages and closures that can cost in the region of £1M per day.
While the research has been led by University of Strathclyde’s Dr Marcus Perry, ALICS has been driven forward by industry partnerships with Cavendish Nuclear (Babcock), Altrad Babcock, Bruce Power, EDF Energy and InspectaHire. CENSIS along with its sister Innovation Centre BE-ST (Built Environment-Smarter Transformation) provided further support to the partnership via a jointly-funded project.