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Made by filmmaker with epilepsy Miles Levin, this film is one of the first authentic, empathetic depictions of epilepsy in cinema: an effort to represent an ...

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Flat dome lights are a good alternative to ring lights for brightfield inspection of objects with low to slightly reflective surfaces.

It can be challenging to select the right illumination for your application. With the wide range of lighting options on the market, it is crucial to choose the right illumination early in the design phase to save cost and integration efforts. But how do you select the optimal lighting type for your vision application?

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Application example: Label inspection, quality assurance for print inspection (for example: food or drug packaging), and PCBA inspection.

In 2017, he was appointed a Privatdozent (lecturer) at the Karlsruhe Institute of Technology (KIT) for the field of machine vision and since 2020, he is working here as a professor in machine vision full-time.

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The distance scale on the 17-35mm (right) is on the lens's focus ring, and you can see that the lens is focused quite close, at around 0.5 meters. Note that, as ...

From 2008 until 2020 he was head of the research team. He has authored and co-authored scientific publications in the fields of photogrammetry and machine vision. Markus Ulrich also worked as a guest lecturer at TUM, where he taught close-range photogrammetry.

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The right illumination is critical in a vision system. Properly combining lighting with the camera and lens ensures the best possible results in your application.

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Cable extends the reach of your ATX12V power supply CPU power connector by 8in, making it easier to make the necessary power connection without having to ...

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Markus studied Geodesy and Remote Sensing at the Technical University of Munich (TUM) and received his PhD degree from TUM in 2003. In 2003, he joined MVTec’s Research and Development department as a software engineer.

The second edition of this successful machine vision textbook has been completely updated, revised, and expanded by 35% to reflect the developments of recent years in the fields of image acquisition, machine vision algorithms and applications.

Find everything you need to properly illuminate your application. Each lighting setup requires a power supply and can be supplemented with additional accessories for perfect illumination: power supplies, brackets, diffusors and polarizers.

Christian studied Geodesy and Remote Sensing at the Technical University of Munich (TUM) and received his PhD degree from TUM in 2001.

Carsten studied computer science at the Technical University of Munich (TUM) and received his PhD degree from TUM in 1998. In 1996, he co-founded the company MVTec, where he heads the Research department.

The right lighting in a computer vision setup affects the results of image processing. We explain the decisive factors of good illumination.

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Every LED lighting also needs a power supply, for optimal compatibility and performance of the lighting solution, the power supply should be ordered at the same time.

Our Lighting Advisor provides individual product recommendations by guiding you step by step to a selection of suitable lighting and components. Select the lighting for your vision system as early as possible during your design process.

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The right lighting is key for any image processing system. It helps determine whether an inspection task is handled efficiently or not.

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... LED and lighting devices ranging from LED packaging designs to LEDs with novel LED interconnect architectures. He is a member of IEEE, the Optical Society ...

He has authored and co-authored more than 80 scientific publications in the field of computer and machine vision. In 2011, he was appointed a TUM honorary professor for the field of computer vision.

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He has authored and co-authored more than 40 scientific publications in the fields of photogrammetry, remote sensing, and machine vision. In 2003, he joined MVTec‘s Research and Development department as a software engineer.

The new content includes, but is not limited to, a discussion of new camera and image acquisition interfaces, 3D sensors and technologies, 3D reconstruction, 3D object recognition, and state-of-the-art classification algorithms. The authors retain their balanced approach with sufficient coverage of theory and a strong focus on applications.

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