more robust machine vision applications.
In many applications, machine vision is part of a bigger system. For example autonomous navigation, identification of instruments during laparoscopic surgery or monitoring crops on a farm. With the rise of machine learning, we now regularly autonomously execute complex tasks like image classification, object detection, and image segmentation.
- Development of integrated machine vision applications for object classification-, segmentation- and detection
- Enabling machine vision where the right data is not available through synthetic data
- Evaluating different sensor and lighting setups in simulation during development through simulation
developing vision-in-the-loop systems.
Building a full system that takes into account the dependencies between components can be challenging. With our system engineering and domain knowledge we can develop vision-in-the-loop systems, where machine vision is part of a bigger system, to deliver optimal performance and functionality.
Generate near-infinite permutations of complex, domain-specific, 3D environmentsRead More