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Why RDMA and TCP for GigEVision are a step backwards

Why RDMA and TCP for GigEVision are a step backwards

The GigE Vision standard uses a UDP-based protocol called GVSP to facilitate image transfer using Ethernet. As data rates have increased, some manufacturers have encountered difficulty achieving performance using GVSP, particularly when data rates approach 10Gbps or higher. This has led to experimentation with TCP or RDMA protocols to mitigate those difficulties but we see these options converge the GigEVision standard with point-to-point protocols like CXP and USB.

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Bild: Condense Reality
Bild: Condense Reality
You-are-there

You-are-there

Imagine being able to stand next to your favorite performer during a once-in-a-lifetime concert – or having reserved seating at the 50-yard line for every game or the chance to “run” beside star players as they charge the goal during a league championship. Now, imagine being able to have these experiences while sitting in your living room, commuting home from a busy day at work, or playing the latest multiplayer game.

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Autonomous Picking

Autonomous Picking

ActiNav is a UR+ application kit that simplifies the integration of autonomous bin picking of parts and accurate placement in machines using UR cobots. It synchronously handles vision processing, collision-free motion planning and autonomous real-time robot control.

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Autonomous Machine Vision as a self-experiment

Autonomous Machine Vision as a self-experiment

Visual inspection in parts manufacturing is expensive, complicated and error-prone – this is the general consensus. Inspekto from Heilbronn has made it its business to change this and promises a plug&play system that delivers reliable results in the shortest time and with minimal installation effort. The inVISION has tested this in a self-experiment.

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At the Embedded World 2020 the panel discussion 'Embedded Vision everywhere' took place. Users (Stil, CST) and manufacturers (Allied Vision, Congatec, Cubemos, Vision Components) discussed trends and developments and the role of AI. (Image: TeDo Verlag GmbH)
At the Embedded World 2020 the panel discussion 'Embedded Vision everywhere' took place. Users (Stil, CST) and manufacturers (Allied Vision, Congatec, Cubemos, Vision Components) discussed trends and developments and the role of AI. (Image: TeDo Verlag GmbH)
AI and Embedded Vision Trends of Embedded World 2020

AI and Embedded Vision Trends of Embedded World 2020

Embedded World 2020 was affected by the cancellation of numerous companies due to the coronavirus. Nevertheless, there were numerous interesting new products for embedded vision and AI to be seen at the fair, which are briefly presented in this follow-up report.

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The fourth Conference on Hyperspectral Imaging in Industry (chii) will take place on 27 and 28 May 2020 in Graz. (Bild: Perception Park GmbH)
The fourth Conference on Hyperspectral Imaging in Industry (chii) will take place on 27 and 28 May 2020 in Graz. (Bild: Perception Park GmbH)
Hyperspectral imaging is conquering the industry

Hyperspectral imaging is conquering the industry

Hyperspectral-based imaging is establishing itself in ever new industrial fields of application. How does this technology work and where can it be used?

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Bild: EMVA European Machine Vision Association
Bild: EMVA European Machine Vision Association
Standardization Initiative Embedded Vision Interface (emVision)

Standardization Initiative Embedded Vision Interface (emVision)

Development of embedded vision technologies is not solely triggered by machine vision players but also by consumer driven application fields such as smart phones. This creates the need to adapt these embedded vision systems to enable industrial solutions to use them. By addressing these needs, hosted by the EMVA a new standardization initiative has been formed.

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(Image: ©Tatiana Shepeleva/stock.adobe.com)
(Image: ©Tatiana Shepeleva/stock.adobe.com)
Ethics and Explainability related to Artificial Intelligence

Ethics and Explainability related to Artificial Intelligence

Since today’s artificial intelligence does not develop an awareness of what it learns, AI in principle is completely objective. Therefore the risks of using AI are related to the data and not in the AI itself. The current discussion of AI and ethics aims to prevent artificial intelligence systems from discriminating people.

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