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.
IoT
- Adlink automates I-Pi SMARC carrier board design
- Raspberry Pi links sensors to IoT digital twin
- Tackling the myths of the IoT
- 28nm FD-SOI i.MX8 targets low power
- Ultra low power microcontroller uses autonomous peripherals
- $50m fund to boost IoT startups in Europe
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.
- SMARC module with the i.MX 8M+ for edge AI and embedded vision
- NXP shows first details of edge AI i.MX9 processor
- Bosch rolls out AIoT for its factories
- Lattice expands mVision stack capabilities
“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
