|Funding from Vinnova
|SEK 2 000 000
|May 2018 - May 2019
Purpose and goal
The project goal was to define and demonstrate an application prototype with synthetically trained neural networks and this has been successfully done.
Expected results and effects
Synthetic data can now be used in the system solutions provided by Unibap to speed up the data gathering process and increase the efficiency of the trained neural networks.
Planned approach and implementation
Unibap has developed the application prototype and used it in lab environment, but also in real customer cases both with a good and promising result.