Industrial Use Cases

Solve Your Most Challenging Computer Vision Problems
We release computer vision from some of its most challenging data constraints. Our technology allows us to enable visual A.I. applications for object recognition, real-time surface inspection or autonomous systems.
Our solutions add substantial value, especially for cases where adequate data is difficult or impossible to obtain and annotate. They automate repetitive tasks, help to analyze massive amounts of information and find incidents the human eye is unable to see.
Steel Factory
industry 4.0
Quality Inspection
About one third of automation potential in manufacturing is linked to A.I. However, only a fraction has been implemented due to task complexity, task variation and expected high costs. Many SMEs haven't even realized what their potential is!
Building on a growing library of simulated objects, materials and environments, we are able to provide a wide range of visual inspection and quality control systems. Solutions can be deployed before the start of production and within a short amount of time.
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Car side view
Anomaly detection
Car Damage Assessment
Every year, car rentals, dealers or insurance companies lose > $100bn on vehicle damage. Smaller surface defects that remain undetected are a particular painful issue.
We are able to simulate different damage classes on multilayered and reflective car surfaces. Pixel-exact annotations and additional informative layers (such as repair cost estimates) are added automatically to the dataset. As a result, our technology can help to identify even small damage accurately and in real-time.
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Aircraft Inspection
Aircraft Inspection
Regular inspections ground commercial aircraft for hours or even days - with costs of c.10,000 € / hour. Our technology can support engineers during visual routine checks to identify damage and irregularities more efficiently - reducing aircraft ground time significantly.
We simulate typical defects such as corrosion, deformations and missing parts to generate diverse datasets that cover the full range of real-world scenarios.
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Robotics Factory
task automation
Autonomous systems increasingly face the challenge of becoming more flexible and independent. In production environments, robots need to correctly place components with frequently changing specifications, while also being able to recognize faulty parts.
Building on an extensive stock of synthetic assets, our solution helps to improve the abilities of robotic systems. Our algorithms can be flexibly adapted to changing product requirements. At the same time, quick data availability speeds up the testing process and allows for the inclusion of products which are still in development.
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Aerial Image
Aerial image analytics
Drones & Satellites
Satellites, drones and other systems produce tons of aerial images each year. Our A.I. solutions enable users to efficiently identify and analyze elements in aerial photos - with massively improved results.
This allows for monitoring opportunities in diverse fields such as farming or infrastructure maintenance.
Researchers - often drowning in unused data - are able to analyze topographical features, state of soil and vegetation or global trends in urbanization more easily.
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Waste Collection
task automation
Our A.I. can help to improve sorting accuracy and speed up the recycling process, leading to substantial growth of overall recycling rates.
We are not only able to create digital twins of objects in all variations, but also simulate physical transformations from aging to decomposition, deformation or destruction.
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Interested how our technology can help your project?
Tell us about your challenge!