2019 Fixed | Gom Inspect
GOM Inspect 2019: A Comprehensive Guide to Advanced 3D Metrology Software
The reporting module creates clear visual documentation. Users can build dynamic templates containing tables, color plots, and trend analysis charts for quality control managers. Step-by-Step Inspection Workflow
Recommended for: 3D scanning users, quality engineers, and students. Not ideal for real‑time team workflows or massive datasets.
Compares 3D scan data (meshes) against CAD models to identify surface deviations, often visualized through false color heat maps . Gom Inspect 2019
Validating the accuracy of tools, jigs, and fixtures.
The 2019 edition introduced significant advancements in processing speed, user interface customization, and specialized inspection workflows. It bridges the gap between raw point cloud acquisition and actionable engineering insights, allowing manufacturers to validate parts against CAD models with high repeatability. 2. Core Features and Capabilities Advanced Mesh Processing
GOM Inspect 2019 supports a wide range of GD&T tools according to ASME and ISO standards, including: Cylindricity Profile of a surface 5. Automated Reporting GOM Inspect 2019: A Comprehensive Guide to Advanced
The software employs advanced fitting algorithms—such as Local Best-Fit (RPS), Surface Best-Fit, and Gauß best fit—to align the scan data perfectly with the CAD model.
Why did GOM Inspect 2019 become an industry legend? The feature set was revolutionary for free software.
It is important to note that GOM GmbH was acquired by the ZEISS Group. As a result, the GOM software has been rebranded and integrated into the ZEISS product portfolio. Today, the software is known as (formerly GOM Inspect). While the interface and core technologies remain largely the same, the software is now part of ZEISS's broader metrology ecosystem. The ZEISS INSPECT suite continues to be developed, building upon the strong foundation laid by releases like GOM Software 2019, and remains the industry standard for 3D inspection and metrology software. Not ideal for real‑time team workflows or massive datasets
Ensure your data is aligned using the "Best-Fit" method (typical error ~0.05 mm) to get accurate deviation maps.
In the Explorer (left-hand sidebar), select the elements or measurements you want to include in the report. Create Report Page: