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IoT
One of the new challenges arising with the use of edge, fog, and cloud architectures is the connection of components to each other and to the public cloud. An important element of developing a solution capturing all pieces is the IoT framework susietec
At the field, or edge level, data is collected by industrial computers, e.g. by gateways, which process, filter, analyze and act on these data in real-time right at the device.
Edge, fog and cloud applications demand increasing computing power. The interfaces to sensors or machines often require non-standard solutions. Especially in smaller machines, space is limited or restricted in some dimension and need a special solution.
Today, the connection from the sensor device to the embedded cloud takes place via real-time data communication, on sensor and edge level - for example Industrial Ethernet or fieldbuses - and gateways , which provide the transformation of real time data into the informational area.
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Use Case
Soccer player versus machine
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The Fraunhofer Institute for Material Flow and Logistics (IML) in Dortmund, Germany has developed a robot goalkeeper with lightning fast reflexes that is a match for even the best professional footballers. RoboKeeper’s brain is the ThinkIO Embedded IPC from Kontron that offers dual-core processing performance as well as a range of standard PC and industrial interfaces for easy and cost-effective implementation of industrial vision control applications.
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