End-of-line component tests generate valuable data for assessing production quality in the manufacturing industry using specific tailored Machine Learning tools.
The pass-fail evaluation system with acceptance windows must be accompanied by a machine learning system to classify and accurately distinguish false positives and false negatives from true positives and true negatives.
By integrating our Machine Learning tools, great benefits can be obtained in identifying and understanding anomalies.
Our manufacturing quality assessment system is a perfect solution for modern industry.
The Machine Learning module learns directly from the data to distinguish good and bad cases operating on heterogeneous data.