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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
Computer Vision made easy
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With the new AI workstation Kontron and Robotron enable uncomplicated and fast application of computer vision.
The multi-purpose AI workstation allows training, execution and inference of algorithms for a wide range of models and frameworks. The standardized approach covers up to 90 percent of all deployment scenarios and enables manufacturing engineers without programming experience to solve their inspection problems through computer vision in real time.
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