From vision systems design over machine learning to deep learning, you make vision systems smarter using innovative computer vision techniques.
For a variety of real industry cases, we want to increase the intelligence and the efficiency of camera/product/production systems, for instance: working with autonomous vehicles and self-guided robot applications, product quality inspection, sensor fusion…
Function
You will
- Work together in a research team with experts in control, sensing and mechanical design;
- Take the lead in adding vision capabilities to multidisciplinary mechatronic systems;
- With your background in computer vision and image processing algorithms, you will:
- Study, design and implement computer vision algorithms (Python, C++, Matlab);
- Engineer feature extraction methods and decision systems, both rule- and machine learning based;
- Train and deploy classifiers and strengthen the system with deep learning algorithms;
- Use leading computer vision libraries (OpenCV, dlib, ImageJ/Fiji, Halcon);
- Choose the right optics, lenses, illumination, imaging sensors and computing platforms for the challenge;
- Perform camera calibration and implement stereo/3D imaging architectures;
- Prepare functional prototypes and demonstrators.
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