Great Junction Street Bridge Edinburgh

You have not accepted cookies yetThis content is blocked. Please accept cookies for 'Embedded videos'. You can do this here.


The team used innovative Simultaneous Localization and Mapping (SLAM) based mobile laser scanning to create a fully accurate point cloud of the entire site. This was then supplemented by photorealistic 3D models of defects captured on site using photos and videos and processed using photogrammetry technology. These models could then be reviewed and inspected in detail to obtain accurate measurements, overcoming any site and access constraints associated with the location of the bridge itself. 

Hosting the models online and providing the client with a tailor-made custom application meant that the client and wider project team were all able to access the data and view specific defects quickly and easily. This was not only more efficient, in that all those with access could virtually explore the site at any time via an easy-to-use computer desktop application, but also had significant health and safety benefits as it removed the need to be physically on site.  

An Augmented Reality (AR) application was also created for use with android smartphones. When used in conjunction with the physical pages of the written report, it overlays the relevant photorealistic 3D model of any defects automatically, to offer an innovative way of displaying data and a clear visualisation of the bridge and where repairs were needed.