AI-Powered Tunnel Inspection Introduces a New Era of
Infrastructure Management
See how we help infrastructure operators detect risks and prevent costly failures
Background
National Highways is responsible for operating, maintaining, and improving England’s motorways and major roads. As part of this remit, it also manages the Historical Railways Estate (HRE), a portfolio of more than 3,000 heritage structures including tunnels, bridges, and viaducts. With many of these assets over a century old, ensuring their safety and reliability requires both deep engineering expertise and forward-looking innovation.
Challenge
Tunnel inspections are inherently complex. They take place in confined spaces, often with little to no lighting, and require engineers to balance required inspection work with safety considerations. While traditional methods have long provided valuable insights, National Highways recognised the opportunity to enhance these practices with advanced digital tools to support faster, safer, and more detailed inspections, while creating a scalable model for its wider portfolio.
Solution
InfraMind partnered with National Highways, through HRE, to pilot a digital inspection of an 800m masonry tunnel. The process was straightforward: existing LiDAR survey data was shared with InfraMind, and our AI platform carried out the full analysis.
The system automatically identified features such as spalling, mortar loss, fractures, and construction joints with millimetre precision. Crucially, it also measured the size, depth, and volume of each defect, offering quantitative insights that go beyond traditional visual assessments. Alongside this, the platform assigned severity ratings, performed deformation analysis, and integrated historic inspection reports into an interactive 3D digital twin.
Accessible through a browser-based interface, the platform allowed engineers to navigate the tunnel seamlessly, filter results by defect type and severity, and generate professional inspection reports instantly. This workflow complemented existing expertise while providing richer, data-driven visibility.
Results
The pilot showed how AI can add value at every level of asset management. Inspections that once took weeks were processed in hours, reducing site exposure and freeing engineers from manual reporting. Precise and objective defect measurements allows asset managers to prioritise repairs objectively, optimise maintenance schedules, and allocate budgets more effectively. At a strategic level, the platform provides early visibility of deterioration, reducing the risk of unexpected failures and supporting longer asset lifespans.
Together, these outcomes demonstrate that AI-powered inspection is not just a faster way to survey tunnels, it is a smarter, data-driven approach to managing and protecting infrastructure at scale.
What’s Next
Following the pilot, InfraMind and National Highways are preparing for further trials, including an upcoming project on a major bridge. These trials will explore how the platform can be applied to a wider range of assets beyond tunnels and demonstrate its potential to support broader digital approaches to infrastructure management in the future.
About InfraMind
We may revise this Privacy Policy periodically to reflect changes in our services, legal requirements, or industry standards. Whenever updates are made, we will notify users through in-app notifications, emails, or website banners. We encourage you to review the Privacy Policy regularly to stay informed about how we protect your information and uphold your privacy rights.
Background
Challenge
Solution
Results
Client Validation
What’s Next
AI-Powered Tunnel Inspection Introduces a New Era of
Infrastructure Management
See how we help infrastructure operators detect risks and prevent costly failures
Background
National Highways is responsible for operating, maintaining, and improving England’s motorways and major roads. As part of this remit, it also manages the Historical Railways Estate (HRE), a portfolio of more than 3,000 heritage structures including tunnels, bridges, and viaducts. With many of these assets over a century old, ensuring their safety and reliability requires both deep engineering expertise and forward-looking innovation.
Challenge
Tunnel inspections are inherently complex. They take place in confined spaces, often with little to no lighting, and require engineers to balance required inspection work with safety considerations. While traditional methods have long provided valuable insights, National Highways recognised the opportunity to enhance these practices with advanced digital tools to support faster, safer, and more detailed inspections, while creating a scalable model for its wider portfolio.
Solution
InfraMind partnered with National Highways, through HRE, to pilot a digital inspection of an 800m masonry tunnel. The process was straightforward: existing LiDAR survey data was shared with InfraMind, and our AI platform carried out the full analysis.
The system automatically identified features such as spalling, mortar loss, fractures, and construction joints with millimetre precision. Crucially, it also measured the size, depth, and volume of each defect, offering quantitative insights that go beyond traditional visual assessments. Alongside this, the platform assigned severity ratings, performed deformation analysis, and integrated historic inspection reports into an interactive 3D digital twin.
Accessible through a browser-based interface, the platform allowed engineers to navigate the tunnel seamlessly, filter results by defect type and severity, and generate professional inspection reports instantly. This workflow complemented existing expertise while providing richer, data-driven visibility.
Results
The pilot showed how AI can add value at every level of asset management. Inspections that once took weeks were processed in hours, reducing site exposure and freeing engineers from manual reporting. Precise and objective defect measurements allows asset managers to prioritise repairs objectively, optimise maintenance schedules, and allocate budgets more effectively. At a strategic level, the platform provides early visibility of deterioration, reducing the risk of unexpected failures and supporting longer asset lifespans.
Together, these outcomes demonstrate that AI-powered inspection is not just a faster way to survey tunnels, it is a smarter, data-driven approach to managing and protecting infrastructure at scale.
What’s Next
Following the pilot, InfraMind and National Highways are preparing for further trials, including an upcoming project on a major bridge. These trials will explore how the platform can be applied to a wider range of assets beyond tunnels and demonstrate its potential to support broader digital approaches to infrastructure management in the future.
About InfraMind
We may revise this Privacy Policy periodically to reflect changes in our services, legal requirements, or industry standards. Whenever updates are made, we will notify users through in-app notifications, emails, or website banners. We encourage you to review the Privacy Policy regularly to stay informed about how we protect your information and uphold your privacy rights.
Background
Challenge
Solution
Results
Client Validation
What’s Next
Background
Challenge
Solution
Results
Client Validation
What’s Next
AI-Powered Tunnel Inspection Introduces a New Era of
Infrastructure Management
See how we help infrastructure operators detect risks and prevent costly failures
Background
National Highways is responsible for operating, maintaining, and improving England’s motorways and major roads. As part of this remit, it also manages the Historical Railways Estate (HRE), a portfolio of more than 3,000 heritage structures including tunnels, bridges, and viaducts. With many of these assets over a century old, ensuring their safety and reliability requires both deep engineering expertise and forward-looking innovation.
Challenge
Tunnel inspections are inherently complex. They take place in confined spaces, often with little to no lighting, and require engineers to balance required inspection work with safety considerations. While traditional methods have long provided valuable insights, National Highways recognised the opportunity to enhance these practices with advanced digital tools to support faster, safer, and more detailed inspections, while creating a scalable model for its wider portfolio.
Solution
InfraMind partnered with National Highways, through HRE, to pilot a digital inspection of an 800m masonry tunnel. The process was straightforward: existing LiDAR survey data was shared with InfraMind, and our AI platform carried out the full analysis.
The system automatically identified features such as spalling, mortar loss, fractures, and construction joints with millimetre precision. Crucially, it also measured the size, depth, and volume of each defect, offering quantitative insights that go beyond traditional visual assessments. Alongside this, the platform assigned severity ratings, performed deformation analysis, and integrated historic inspection reports into an interactive 3D digital twin.
Accessible through a browser-based interface, the platform allowed engineers to navigate the tunnel seamlessly, filter results by defect type and severity, and generate professional inspection reports instantly. This workflow complemented existing expertise while providing richer, data-driven visibility.
Results
The pilot showed how AI can add value at every level of asset management. Inspections that once took weeks were processed in hours, reducing site exposure and freeing engineers from manual reporting. Precise and objective defect measurements allows asset managers to prioritise repairs objectively, optimise maintenance schedules, and allocate budgets more effectively. At a strategic level, the platform provides early visibility of deterioration, reducing the risk of unexpected failures and supporting longer asset lifespans.
Together, these outcomes demonstrate that AI-powered inspection is not just a faster way to survey tunnels, it is a smarter, data-driven approach to managing and protecting infrastructure at scale.
What’s Next
Following the pilot, InfraMind and National Highways are preparing for further trials, including an upcoming project on a major bridge. These trials will explore how the platform can be applied to a wider range of assets beyond tunnels and demonstrate its potential to support broader digital approaches to infrastructure management in the future.
About InfraMind
We may revise this Privacy Policy periodically to reflect changes in our services, legal requirements, or industry standards. Whenever updates are made, we will notify users through in-app notifications, emails, or website banners. We encourage you to review the Privacy Policy regularly to stay informed about how we protect your information and uphold your privacy rights.
Discover how InfraMind can transform your inspections.
Book a demo to see how our AI technology detects structural issues and prevents costly failures
Discover how InfraMind can transform your inspections.
Book a demo to see how our AI technology detects structural issues and prevents costly failures
Discover how InfraMind can transform your inspections.
Book a demo to see how our AI technology detects structural issues and prevents costly failures