An as-built survey documents the exact dimensions and layout of an existing building or structure. Using 3D laser scanning, millions of measurement points are captured to create an accurate digital representation of the space. This data can then be used to produce BIM models, CAD drawings, floor plans and point cloud datasets, helping architects and engineers design renovations or new works with confidence.

LiDAR scanning uses laser sensors to measure distances and capture millions of highly accurate spatial points, creating a precise 3D point cloud of a building or environment. Photogrammetry uses overlapping photographs to reconstruct 3D models, which can be useful for visualisation but is generally less accurate for measurement. For architectural surveys, construction planning and Scan-to-BIM projects, LiDAR scanning is typically preferred because it delivers higher accuracy and more reliable spatial data.

The cost of a 3D scanning project depends on several factors including site size, building complexity, deliverables required and the type of scanner used. Smaller projects may be completed for a few thousand dollars, while larger commercial or infrastructure projects require more extensive capture and modelling work. A tailored quote is typically provided after reviewing the project scope.

Yes. Laser scanning is widely used to create accurate existing-conditions documentation before renovation or refurbishment work begins. By capturing the building geometry in detail, designers and contractors can reduce measurement errors, improve coordination and avoid costly rework during construction.

Yes. 3D Walkabout operates scanning teams across major Australian cities including Sydney, Melbourne, Brisbane, Perth and Adelaide, and can deploy to regional and remote locations nationwide. Our team regularly works on projects ranging from single buildings to large industrial and infrastructure sites.

Scan-to-BIM is the process of converting laser scanning data into a Building Information Model (BIM). Using the captured point cloud, specialists create detailed digital models of the building in software such as Autodesk Revit. These models can include architectural, structural and MEP elements depending on the required Level of Development (LOD).

A point cloud is a digital dataset made up of millions of measured points that represent the exact geometry of a building or environment. These datasets allow architects, engineers and contractors to analyse existing conditions and create accurate models. Point clouds are commonly used as the foundation for Scan-to-BIM and as-built documentation.

Typical deliverables include registered 3D point cloud datasets, BIM models, CAD drawings, panoramic imagery and digital walkthroughs. Files can be provided in formats such as RCS/RCP, E57, Revit models and DWG drawings so they integrate easily into common design and construction software.

The time required depends on the size and complexity of the site. Smaller buildings can often be captured in a few hours, while larger commercial or industrial sites may take one or more days of scanning. Once the data is captured, processing and deliverables such as point clouds or BIM models are typically delivered within several business days.

3D laser scanning can be used on almost any built environment including residential buildings, commercial offices, retail centres, industrial warehouses, hospitals, schools, infrastructure sites and heritage buildings. Large facilities such as campuses, factories and shopping centres can also be scanned using mobile LiDAR technology.

Modern terrestrial laser scanners can capture measurements with millimetre-level accuracy, depending on the equipment used. Survey-grade scanners such as the Leica RTC360 can achieve accuracy of around ±1.9 mm at 10 metres. This level of precision makes laser scanning suitable for architectural surveys, construction verification, and detailed BIM modelling.

3D laser scanning is a reality capture technology that uses LiDAR sensors to measure buildings and environments with millions of precise data points. The result is a highly detailed 3D point cloud that represents the exact geometry of the space. This data can then be used for Scan-to-BIM modelling, CAD drawings, digital twins, and building documentation.