machine vision in the loop.
In many applications, machine vision is part of a bigger system. For example think about autonomous navigation, identification of instruments during laparoscopic surgery or monitoring crops on a farm. With the rise of machine learning, it’s never been easier to tackle complex tasks like image classification, object detection, and image segmentation.
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bring your vision-based applications to life with machine vision in the loop.
But building a full system that takes into account the dependencies between components can be a challenge. We have the system engineering and domain knowledge to develop vision-in-the-loop systems delivering optimal performance and functionality, where machine vision is part of a bigger system.
Data availability is another obstacle in machine vision. That is where our expertise on synthetic data generation can offer a solution, enabling us to develop even more robust machine learning algorithms before the actual system is even built. <LINK TO SYNTHETIC DATA>