Revolutionizing Computational Imaging with Advanced Components & Algorithms πŸš€

Discover innovative strategies to overcome speed, bandwidth, and cost challenges in computational imaging. Join us to explore cutting-edge components and algorithms shaping the future of imaging technology.

Revolutionizing Computational Imaging with Advanced Components & Algorithms πŸš€
Messe Stuttgart
29 views β€’ Feb 13, 2025
Revolutionizing Computational Imaging with Advanced Components & Algorithms πŸš€

About this video

Many computational imaging approaches struggle to meet challenging targets such as speed, bandwidth, low latency and integration costs. In this talk we will show how new lighting systems, new hardware components, new algorithms and efficient load balancing (FPGA, GPU, CPU) are addressing this issue.

Experience the latest products, technologies and trend themes of machine vision such as embedded vision, hyperspectral imaging and deep learning!

At VISION, you’ll learn all about the innovative possibilities presented by current and upcoming machine-vision technologies. World-leading exhibitors will be on hand to unveil the latest systems and components. In no time, you’ll have an overview of key technologies related to Industry 4.0 and automated processes. This top international trade fair will also offer plenty of inspiration in examples of real-world scenarios. Discuss your activities and requirements with the experts and gather ideas for innovative applications.

πŸ’» More Information: https://www.messe-stuttgart.de/vision/en/
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MESSE STUTTGART
We bring people together. Located in the heart of Europe, Messe Stuttgart is the central hub for ideas and contacts. World market leaders from every industry meet medium-sized hidden champions and exciting start-ups here. Interesting cooperation agreements and new lines of business are therefore established at our trade fairs, congresses and events. In direct exchange, without any diversions.

#VISIONSTR #imageprocessing #machinevision

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Video Information

Views

29

Likes

2

Duration

17:25

Published

Feb 13, 2025

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