Gom Inspect 2019 |work|

Feature Name: Smart Anomaly Cause-Assign (SACA)

The Problem It Solves:

Currently, users can detect deviations (e.g., a red spot on a surface comparison or a failing tolerance on a bore). However, correlating that deviation to a specific manufacturing cause (e.g., tool wear, fixture issue, temperature drift) is manual, time-consuming, and often relies on tribal knowledge.

The Feature Description:

SACA automatically suggests the most probable root cause for a detected deviation by integrating live manufacturing parameters and historical inspection data. Gom Inspect 2019

: Compare 3D scan data (meshes) directly against CAD models to visualize deviations via color plots. Mesh Processing Feature Name: Smart Anomaly Cause-Assign (SACA) The Problem

• Solution: The free version disables ".gom" project saving. Workaround: Export results as PDF report or export inspection elements as CSV.

Reporting & Export