Quality Assurance

A semi-conductor company produces wafers and needs to improve quality assurance. It commissions a software application which visualizes deviations from the norm on the basis of points measured on the wafers’ surface.

Without ILNumerics, the prototypical algorithm is developed with numpy, an extension to the popular programming language Python. In order to incorporate this algorithm into the final software application, interfaces to Python help accessing numpy from .NET. To realize the visualizations, the developers use third party modules. The final application contains three technologies: Python, .NET, and the modules needed for the visualization feature. For all future changes, appropriate expertise and licences are needed.

With ILNumerics, both the algorithm and the visualization feature can be implemented into the .NET application code directly, which means the application becomes much more stable and maintainable. A connection to external modules is not necessary. Future updates can be made with low costs. The company saves 30 per cent on development costs.