3D Scanning: Scanning Technology Brief

3D Scanning is a form of non-contact measurement that that allows for the fast and efficient capture of complex shapes. 3D scanners emit laser stripes that are projected across the entire target surface. Scans are often taken from multiple angles and positions to provide the greatest level of detail of the target object. As the scanners project laser stripes, cameras are used to capture data points, which is known as laser triangulation. The angles captured are translated into X, Y and Z coordinates within a data point cloud.

White Light Scanning
White Light Scanning, or structured light scanning, is a form of 3D scanning in which a pattern of white light is projected across an object, and then captured by sensors (CCD cameras). Multiple patterns are projected onto the scanned object, and scanning software provides 3D measurements based upon references and changes in the known laser light patterns.

Photogrammetry
Photogrammetry is a process in which common reference points in multiple photographic images are referenced in order to deliver digitized representations scanned objects. Points are added manually or automatically in order to generate three dimensional measurements. Photogrammetry can be used in conjunction with 3D scanning to develop full surface measurement of large parts.

SFI engineers will select the most appropriate ATOS or Solutionix scanner to your specific application and optimize data capture in order to deliver the level of measurement and detail required. Raw data sets are then processed to the specific file formats requested.

Outputs

SFI engineers specialize in the selection and optimization of 3D scanners and software to capture the most complete data sets from scanning projects. Raw scan data is manipulated to deliver two different outputs: data point clouds and polygon mesh. These outputs are the foundation of many project report deliverables including surface models, 3D CAD models and Parametric CAD models.

Data Point Clouds
Data point clouds are a visual representation of three dimensional data points acquired from the surface of a scanned object. 3D scanning captures discrete X, Y and Z coordinates from the target which are then displayed as a “point cloud.”

• ASCII text file

Polygon Mesh
Data processed from single or multiple scans can also be displayed as a 3D mesh of polygons or triangles. SFI engineers then use various software applications to deliver a new level of visual understanding of manufactured components—_ a complete representation of the scanned part._ SFI develops models in which gaps are filled, and we can make corrections to models to remove defects or inconsistencies in design. Polygon Mesh data is used for rapid prototyping of highly detailed objects, CNC machining, or it is processed into surface or solid models for specific manufacturing purposes.

• STL, VRML, OBJ, PLY

Contact SFI to discuss your specific project and requirements.

Applications

• Product Development, Digital Assembly, Reverse Engineering, Rapid Prototyping
  SFI generates the 3D CAD (Computer Aided Design) model of scanned objects in order to develop, model and manufacture component parts in cases where no design documentation exists or highly specialized fits are required for system integration.

• Quality Inspections
  SFI Quality performs quality inspections for first unit parts as well as for well-established manufacturing processes. Our 3D scans deliver precise, computer-aided inspection that compares raw scan data to original CAD designs. SFI inspection reports deliver critical insight into anomalies within the manufacturing process. Learn where your component parts deviate from original design, as well as how far they fall outside tolerance levels.

• Cultural/Historical Preservation
  Art, artifacts and elements of nature often prove difficult to preserve or to reproduce. They’re often organic, highly-detailed, and one-of-a-kind. In these cases, SFI makes it possible to develop models that capture as much detail and historical accuracy as possible. Models can be stored for future generations, replications and academic study.