Trade shows and exhibitions are very different at the moment. Many of the virtual sessions for this year’s Embedded World 2021 exhibition provided seminars for training and conference sessions.

The Internet of Things is a key driver for embedded technology, with more focus on security and on additional machine learning at the edge of the. This edge AI is new processors and new boards with lower power and higher performance, particularly for vision applications. Then there is the connectivity, both from the sensors with low power wide area networks (LPWAN) and emerging 5G private networks for wider connectivity.


Edge AI

Machine learning at the edge is heavily driven by image analysis, with the latest cards and processors looking to boost performance to monitor production lines.

“The key is how we take the software and create extra value for the hardware,” said Steve Cammish, VP edge solutions for IoT at Adlink. “The challenge we have seen is the ability to make decisions closer to the source of the data. We are producing so much data you need to make the decision quicker and that means as close to the source of the data as possible,” he said.

Next: Containers in embedded systems 

That is changing the way the software is delivered to the hardware. Now, software container technology such as Docker or Kubernetes can be used at the edge. “We are running some form of Linux and on top of that you build a container platform,” aid Cammish. “Containers are the way everyone is doing that.”


Adding security easily to existing system is vital for the IoT.


Connectivity is also a key requirement, with new WiFi6E chips opening up the 7GHz spectrum alongside the 6GHz of existing systems. 5G and narrow band IoT are also increasingly seeing new chips for industrial and embedded designs.

Software and Certification

Software is just as important for designs, and tool makers have added safety and security certification capability.

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