Point cloud software: Empowering industries, inspiring the future
Point cloud modeling and scanning have many applications across industries such as architecture and engineering. Find out the role Autodesk’s point cloud software plays.
A Navisworks 3D model of the M4 roadway in England, created from point cloud data.What are point clouds?
A point cloud is a set of data points in a three-dimensional coordinate system. Each point in the cloud contains multiple measurements, including color and luminance, as well as its position along the XYZ axes.
Mount Rushmore is captured in a point cloud.How point clouds are produced
Point clouds start with data gathered from 3D scanning technologies such as LiDAR (light detection and ranging) or structured light scanning. LiDAR systems emit laser beams in a space and measure the time it takes the beams to reflect back. This information can be used to create a 3D point cloud that more accurately represents the structures and surfaces in the scanned area.
The accuracy of the 3D models produced from point clouds makes them a valuable tool to many industries. In architecture, 3D point clouds help capture the current conditions and layout of a building, while measurement data is vital for construction and restoration projects. In the world of manufacturing, 3D models powered by point clouds allow product refinement and production at scale.
The point cloud scanning process
Point cloud scanning is done onsite with a laser scanner which is used to emit a laser beam toward the building, terrain, or object to be scanned. This laser light is reflected back to the scanner, which records the time taken for the reflection, which can then be converted to a measurement of distance, creating a representative point in a three-dimensional space. Many scans are taken at locations and angles throughout the site to create a comprehensive 3D point cloud comprised of millions of data points. The outcome of this point cloud scanning process is a realistic true-to-life digital model of the object or building that was scanned.
Find out more about working with point clouds in Autodesk AutoCAD.
The use of 3D point clouds contributes to improved accuracy and efficiency across industries.
More accurate representation
Point clouds offer a more accurate and detailed 3D representation of a scanned environment or object.
Capture precise spatial data
Aid visualization and analysis
Comprehensive data capture
3D point clouds capture a large amount of complex data in a single scan, including:
Efficient information gathering
Easier measurement and modeling
Nondestructive data acquisition
Scanning techniques such as LiDAR enable nondestructive data acquisition.
Scan objects without touching them
Analyze hard-to-reach spaces
Time and cost efficiency
Using point cloud software saves time and budget compared to traditional methods.
Eliminate physical reconstructions
Skip the manual measurements
Enhanced visualization and communication
Point cloud scanning can facilitate visualization of spaces and collaboration among stakeholders through:
Creating as-built 3D models
Allowing more accurate walkthroughs and simulations
Precise measurements and analysis
3D point clouds more accurately measure distances, volumes, angles, and other geometric properties to:
Support detailed analysis
Make inspection more efficient
Data preservation and documentation
Point clouds can serve as a digital record of the scanned object or environment.
Enable historical preservation
Create a permanent data set
Interoperability and compatibility
Point cloud modeling can be integrated with many software applications and workflows to:
Allow more seamless data exchange
Help streamline project management
Architecture, engineering, construction, and operations (AECO)
AECO industries use point cloud rendering to create more accurate as-built models of existing buildings, infrastructure, and sites.

Point cloud scanning can be combined with GIS to create 3D surfaces in terrain and building models.3D point clouds and GIS
Point cloud scanning technology can be combined with geographic information systems (GIS) to create 3D surfaces in maps, such as terrain features, building models, and more. 3D point clouds can be used in Autodesk AutoCAD Map 3D using the “pointcloudattach” or “add cloud data” commands. In addition to creating standard maps, point cloud modelling can be used to create detailed digital elevation models, visual analyses of terrain features through time as a result of factors like climate change, and more.
Autodesk’s dedicated point cloud software, Recap Pro, helps designers and engineers capture detailed, more accurate digital models of real-world assets. You can use it to:
Create 3D models
Use point cloud modeling with laser scanners, or even photographs, to create detailed digitized assets.
Collaborate
Point clouds can be used to create 3D meshes, which can then be shared and worked on by all members of your team.
Incorporate point clouds in BIM
Using Autodesk Recap Pro, you can change a point cloud to BIM and incorporate it into your design project more seamlessly.

Using point cloud modeling for restoration and preservation
Autodesk and Art Graphique & Patrimoin captured 3D scans and used point clouds for the restoration of Notre-Dame Cathedral in Paris.

Protecting ancient artifacts using 3D point clouds
The Grand Egyptian Museum used point cloud software to complete construction and maintain antiquities.

Maintaining critical infrastructure with point clouds
Photorealistic 3D point clouds help the Bureau of Reclamation identify risks and opportunities at the Glen
A capture of the ancient Roman city of Volterra. Image courtesy of Silviu Stoian and the Volterra-Detroit Foundation.Point cloud applications for education and entertainment
Aside from its benefits for design or planning, point cloud scanning can also be used to create digital versions of real-world locations like historic buildings, geographical places of interest, or advanced machinery. These 3D point cloud representations can then be used to teach or entertain and can be explored from home or by using sophisticated virtual reality setups. There are many possibilities for point cloud modeling, and Autodesk’s dedicated point cloud software can make them happen.
Discover the benefits of real-time data, from improving cross-team collaboration to project management.
Learn how BIM is changing the architecture, engineering, and construction (AEC) industry.
See how digital collaboration is fueling the restoration of a historic New Zealand church.
3D point clouds are generated with scanning and sensing technologies and methods such as LiDAR, structured-light scanning, time-of-flight cameras, sonar, radar, and photogrammetry. These point cloud scanning methods capture data about the geometry and spatial information of objects and environments by measuring distances, light patterns, or wave reflections. The captured data is then processed and converted into a set of 3D points, each based on a specific position in space. Post-processing steps are often taken to refine the data, improve its accuracy, and translate it across trades and applications.
3D point clouds can be used for a variety of purposes, primarily in industries such as architecture, engineering, construction, entertainment, forensics, geospatial mapping, manufacturing, and robotics. They offer a detailed 3D representation of real-world objects or environments, enabling complex tasks like as-built modeling, reverse engineering, virtual-reality experiences, precise measurements, and data visualization. Point cloud modeling makes many nuanced processes much more efficient, and is a versatile tool for capturing, analyzing, and using 3D spatial data.
An example of point cloud data is the representation of an object or environment captured using laser scanning technology or photogrammetry. Consider a building: To create a 3D point cloud of a building, a 3D scanner could be used to capture multiple data points and perspectives. Each point would represent a specific location in the building’s structure. The data points collected are then combined to form a point cloud that represents the 3D geometry of the building. In essence, point cloud data is any information gathered via laser scan or photogrammetry, then used to create the point cloud.