Artificial Intelligence (AI) used to identify structural issues on bridges, viaducts, dams, tunnels

The self-learning software platform uses artificial intelligence and deep learning to detect and categorise damage and defects including cracks, spalls, corrosion, efflorescence and more by analysing images or video.


The system was built using deep neural networks trained on tens of thousands of annotated images. It applies computer vision technology to image analytics, allowing it to identify a wide range of material defects automatically.


The system was built using deep neural networks trained on tens of thousands of annotated images. It applies computer vision technology to image analytics, allowing it to identify a wide range of material defects automatically.


The online portal maintains a timestamped record of all detected conditions, enabling building owners, management and maintenance teams to monitor deterioration of buildings for early remediation and avoid costly repairs down the line.


This technology could be very useful with monitoring, assessing and understanding your assets/infrastructure.


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