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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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/ 快车道图像处理：时速每小时120公里轮胎胎面检查
Use Case
快车道图像处理：时速每小时120公里轮胎胎面检查
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总部设在德国南部的ProContour公司已研制出新型多功能图像处理系统H3-D，由此开创了道路安全的新纪元。
该系统能够在车辆移动的情况下零接触测定轮胎胎面纹路，甚至在最高每小时120公里的时速下仍可复制。该高速图像捕捉技术所要求的计算是由控创公司旗下的DIN 轨道ThinkIO-Duo进行的。该系统的亮点在于多核计算性能及其机器人和静音设计，再加上丰富的接口选择，使图像处理系统得以集成到其他应用程序中。
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