End-of-line component tests generate valuable data for assessing production quality in manufacturing through machine learning.
A pass-fail assessment system based on acceptance windows should be paired with a machine learning system that accurately classifies and separates false positives and false negatives from true positives and true negatives.
Our production quality assessment system is an ideal solution for modern industry.
The Machine Learning module learns directly from the data to tell good cases from bad ones, working on heterogeneous data.
