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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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Learn more about our solutions for various industries by downloading our Whitepapers.
Use Case
Siemens Optiguide
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Optical guidance system steers buses as if on tracks
Precise lane recognition with Kontron PC/104-Plus SBCs based on the AMD Geode™ processor
With Optiguide, Siemens' optical guidance system, buses can be driven as precisely as if they were on tracks, making getting on and off the bus an even more comfortable and secure experience for passengers. This is enabled by creating the smallest possible, barrier-free distance to the platform. The Siemens Optiguide steers the bus to within less than 5 cm of the bus stop. For the onboard control computer Siemens relies on the robust and extremely compact PC/104-Plus boards from Kontron with long-term availability. The CPUs are the AMD Geode™ processors which excel through low power requirements and offer long-term availability.
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