System contained AI models for predictions and a QA system to find correlations, sensitivity analysis, and six-sigma charts.
The project involved developing a system for understanding the impact of certain machine, environment and human factors on the defect rate. Additionally, based on the values, possibility of a defect needed to be predicted.
Our solution included a secured web application that provided visualizations regarding the factors that affect the defects, forecasting AI modules and Six-sigma graphs to understand the range at which certain parameters have to be kept and what needs to be improved.
The implementation of the system has increased the effectiveness of the investments made by company on their QA efforts.
If you have a factory that needs a QA system that contains predictive AI models and defect classification systems, reach out to me!
