The raw data captured by the 3D scanner is in the form of a point cloud, which is a large collection of data points in three-dimensional space. These points represent the external surface of the scanned object.
- Data Processing: The point cloud data is often noisy and may contain outliers or irrelevant data points. It requires processing through specialized software to clean and align the data points accurately. This may involve filtering out noise, merging data from multiple scans, and transforming the data into a coherent model.
- Surface Reconstruction: Once the point cloud is processed, it is used to create a 3D surface model. The points are connected to form a mesh of polygons (usually triangles) that approximate the surface of the object. This mesh can be refined to capture more detail or to smooth out irregularities.
- CAD Conversion: The polygonal mesh is then converted into a solid or surface CAD model. This step involves converting the mesh into a format that CAD software can use to allow further manipulation, such as feature extraction, detail addition, or structural analysis.
All these technologies and trends are aimed at increasing the efficiency, reducing costs, and improving the quality of products. By using these technologies, companies can create more accurate designs, optimize the production process, and improve the overall performance of the manufacturing process.