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Find out more about us and our products by seeing some of our latest applications in action!
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Our bionic filters in action
On the right side our filter in use for quality control independent of lighting - of course with virtual collision control for safe interaction between human and robot.
Illumination inversion Contour and motion detection for safe interaction between robot and human being under extremely fluctuating lighting conditions by defining virtual danger protection areas.
...and in a modified version: lighting invariant contour recognition to support autonomous driving. See the trailers below, left Original, right Contour-Filter representation.
Technical details of the filters:
Necessary external libraries/frameworks: none
Operating system independent
Language: C
Shown Example: Quasi-3D object representation during car driving.
Camera: Logitec; used hardware: Asus Laptop
Processingtime/frame: 31 ms
.. and we are also active under water, so to speak. Shown here as an example using our latest development application. Our bionic filter to increase the image quality through online post-processing of image material recorded during AVU trips. (Film on the left: original camera material and camera material optimized by a bionic filter. Right: original camera material and a quasi-3D object representation generated by a bionic filter.)
Technical details of the filters:
Necessary external libraries/frameworks: none
Operating system independent
Language: C
Shown Example: AVU-Survey material in accelerated representation.
Camera: Logitec; used hardware: Asus Laptop
Processingtime/frame: 31 ms
.. or simply apply the bionic filters to your web cameras, because there is more information in their images than you think. (Left: original image from web camera, right: transformed bionic image)
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