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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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Artificial Intelligence
Artificial intelligence (AI) in the Intelligent Edge is becoming increasingly important in industrial automation or medical technology.
AI is used to optimize business processes in quality assurance, object recognition or similar areas, for example to reduce operating costs, to substantiate medical prognoses or to support security-relevant facilities.
Kontron offers a product portfolio based on standardized hardware and software platforms to enable cost-effective, industrial AI-solutions.
KBox A-150-WKL-AI-H8
Industrial Computer for high-performance edge AI inference solutions based on Intel® Core™ i processors & best-in-class Hailo-8™ AI accelerator
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