We completed a point cloud survey and roof inspection of an asset/building. The 2D/3D digital data was used by the project architects and engineers for planning and design purpose while the data was used to create both CAD and REVIT models. HD images were also captured to understand the condition of the roof in great detail. Access to the roof area was really difficult using traditional methods and using drones to carry out the survey and inspection reduced the risk of people

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 neu

We’ve achieved an amazing level of detail with the 2D/3D modelling of infrastructure assets to understand its condition and help identify defects. These models have many applications on various types of inspection projects (e.g. dam, bridge, building, viaduct, tunnel etc) where a high level of detail and understanding is required. A 2D CAD model can be overlaid on the 2D orthomosaic (from any vertical or horizontal surface) so defects can be drawn. Here are some images of the