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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
Image processing in the fast lane: tire tread check at 120 km/h
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ProContour, a company based in South Germany, has developed the H3-D, a new multi-functional image processing system which opens up completely new perspectives for road safety.
It can measure tire tread patterns contact-free in moving traffic - reproducible even at speeds of up to 120 km/h. The computing required for this high-speed image capturing is carried out by the Kontron’s DIN rail ThinkIO-Duo. The winning features of the system are the multi-core computing performance and its robust and silent design plus a wide range of interface options, with which the image processing system can be integrated into other applications.
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