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FPGAs enable efficient, real-time camera processing thanks to their parallel architecture and deterministic behavior.
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FPGAs enable efficient real-time pre-processing of image data. When integrated into Embedded Vision designs, they expand the choice of suitable processor boards, free up its computing power and simplify the overall development.
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In our webinar, you will learn how FPGA preprocessing masters the flood of data in image processing systems: less load, better quality, more efficiency. Whether you are a developer, integrator, or user, discover the right way to achieve your vision solution.
Dr.-Ing. Peter Ebert TeDo Verlag GmbH
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Cameras have to process more and more image data. It therefore makes sense to evaluate the flood of data on the camera or to compress the data accordingly. This can be done via FPGAs or SoCs, by using frame grabbers or corresponding algorithms. The webinar provides an overview of the di ...
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Accelerate your machine vision project with digital twins and synthetic data
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In order to be able to adapt machine vision applications ideally to your own application, the right software is necessary. But what do I have to look out for when buying vision software and what role does AI play in making applications easier to implement? What features are actually ava ...
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Discover how thermography boosts quality, reduces scrap & optimizes processes in industrial machine vision.
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Oliver Oehmichen VS Technology
VS Technology’s optical units integrate telecentric lenses, lighting, filters, and mechanics into complete plug & play vision systems, ensuring high performance for precise, reliable machine vision applications.
Dr.-Ing. Peter Ebert TeDo Verlag GmbH
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What are the trends in telecentric illuminations and lenses: what about the size of the optics or the use of liquid lenses? When does the use of telecentricity in machine vision and image processing really make sense? Questions that will be answered in this webinar.
Jens Keil Visometry
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Running on a tablet, Twyn offers maximum flexibility wherever components are produced or stored. In the webinar, we’ll share case studies and demonstrate how Twyn integrates with measurement technologies to make quality processes more efficient.
Dr.-Ing. Peter Ebert TeDo Verlag GmbH
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Augmented Reality (AR) is no longer just for consumers — it has reached industrial quality control. With Twyn, deviations become visible instantly: thanks to AR, the CAD model is superimposed on the component, enabling quick target/actual comparison. Inspections can be done directly o ...
Ilan Gershon iENSO
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An overview of the latest Ambarella AI SoC portfolio featuring support for multimodal LLMs (Large Language Models), VLMs (Vision Language Models) and AI based image enhancement. The AI SoC portfolio for both on-device and centralized processing will be covered
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11:00 Uhr (MESZ)
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