This Guidance demonstrates how Eigen Industrial Vision integrates machine vision in addition to manufacturing process and quality data on every machine part. It shows how process parametric data from machines' programmable logic controllers (PLCs) and visual defects are used to build scalable machine learning (ML) models for predicting quality. With these insights, you can then take actions that prevent defective products by adjusting process controls to reduce or eliminate quality issues. You can also access, search, and compare quality results and process data to conduct root cause analysis.