The software automatically gives the right overlap between photos and can fly around complex buildings, maintaining a constant distance, which is important, as it will define the resolution of the mesh.īentley has also developed a 3D resolution tool in ContextCapture that allows users to easily assess the quality of the mesh data.
LUMENRT SCALABLE MESH ANDROID
With drones, particularly when working in confined spaces, the challenges are even greater, so Bentley has partnered with Drone Harmony, a company that offers an Android app to help easily plan out flight paths. One of the key challenges with ContextCapture is ensuring that the quality and coverage of the photographs you feed into the software will create a good quality model.
“It won’t necessarily give you engineering grade data, but it will definitely give you speed and it is perfect for asset management.” Data quality However, as Bentley’s Francois Valois admits, GeoSlam’s technology is not suited to all workflows. This is a great alternative to static laser scanners that can be time-consuming to set up in each room, while taking photos of walls with no textures, or reflective surfaces can cause challenges for photogrammetry. All of this data can be fed into ContextCapture to create the mesh.įor interiors, Bentley recently partnered with GeoSlam to streamline the workflow between ContextCapture and GeoSlam’s handheld devices that capture laser scans and photos in real time as you walk through a building. For smaller scale projects, an Unmanned Aerial Vehicle (UAV), commonly known as a drone, might be equipped with multiple data capture devices, including an SLR camera, a laser scanner or a thermographic imaging device. On a road project, for example, photographs could be captured with an Unmanned Aircraft System (UAS). The data for reality meshes can be acquired from many different sources. Image courtesy of Bentley Systems Reality capture The ContextCapture Mobile application can be used to capture smaller objects. This could be extremely useful for inspection or asset management with the creation of a digital twin. In a plant, for example, you could even read the small print on a safety notice, providing the data has been captured with a high-res camera.
Low-resolution data would be shown when viewing a road corridor in its entirety, but more detail would be automatically streamed in as you zoom into the model. Data can be streamed on demand from ProjectWise ContextShare at a resolution appropriate to the scale at which the project is being viewed. With no theoretical limit on size, they can change the way designers, contractors and visualisers work with incredibly large reality modelling datasets.ģSM files can be exported from the new ContextCapture Connect Edition software. Scalable meshes allow you to stream multi-resolution meshes on demand, automatically, to desktop or mobile devices. There’s a genuine excitement about the potential of the technology, but equally, the delivery mechanism, which is enabled through the company’s Scalable Mesh technology, encapsulated in the 3SM format. Reality meshes are everywhere and crop up in virtually every conversation you have with a Bentley exec, whether it’s about road and rail or buildings and design viz. For a small project, simply take one hundred or so simple photographs from the ground and the air using a drone and you can have an engineering- ready dataset in no time at all. The beauty of the reality mesh is that you don’t need sophisticated surveying equipment. Now, everything is about the reality mesh and using it to capture site conditions, as-built projects or even entire cities. It was only a few years ago that the company was talking up point clouds as being the new fundamental data type, just like 2D vectors, 3D solids and 2D raster. Reality modelling at Bentley Systems has come a long way in a very short time. Reality mesh of roadway generated with ContextCapture cloud processing service.
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