Many embedded systems challenges can't be resolved with rules-based programming. Increasingly, developers are turning to machine learning (ML) to tackle this issue. Elektor met up with Edge Impulse's Jan Jongboom, Amir Sherman, and Arun Rajasekaran at Embedded World 2022 to learn more about how the Edge Impulse ecosystem streamlines the process of using edge-based ML in products of all types. The discussion covers the implementation process from learning data evaluation to model creation; their partnerships with microcontroller vendors to support new products at launch; and the amazing tech solutions that Edge Impulse enables. And, to show what it can do, we took a look at a new Renesas MPU, the R2/V2L, whose AI-accelerator enables vision recognition at 150 frames-per-second.

Watch the video and learn more about machine learning at the edge!

 
Edge Impulse Machine Learning