This is an image simulator that reduces the cost of capturing thousands of images under different environmental conditions. Once you pass your algorithm through all different scenarios, your system will be robust once deployed at your customer site.
Consider an automated system that identifies people on the road and warns the driver. Such a system needs extensive on-the-road testing and it needs a large data set to ensure that the system does a good job under varying environmental conditions. Although necessary, it is an expensive proposition. The Pi Simulator recreates all such conditions using various image processing and deep learning algorithms and comes with a set of performance curves. Our customers then tune their algorithms based on the system robustness characterization curves.
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