OpenMV embedded vision: Elektor Engineering Insights #57 with Kwabena Agyeman
Elektor has lined up OpenMV President and co-founder Kwabena Agyeman for Elektor Engineering Insights (EEI) #57, hosted by me and focused on what practical computer vision looks like when you’re targeting microcontrollers and other constrained hardware.
OpenMV embedded vision on MCUs: what actually ships
If you’re used to computer vision being framed as “run it on a Linux box”, the angle here is different: vision treated as a sensor inside an embedded system, with a firmware stack and tooling aimed at real deployments. The discussion is positioned to be more about trade-offs than hype: hardware choices, image pipelines, performance, power budgets, and how you iterate and debug when you’re not sitting on a desktop-class system.
You can register for the livestream (or watch the recording later). For background material, there are also links to the project documentation and the source repository.
What to expect in EEI #57
The conversation will cover where these kinds of camera-and-MCU platforms make sense versus SBCs and add-on accelerators, how the development workflow supports rapid iteration, and what “Edge AI” claims look like in practice when you’re trying to deploy models under tight memory and compute limits. In other words: OpenMV embedded vision, minus the marketing gloss.
There’s also a giveaway during the live show: five Arduino Pro Portenta Vision Shield (Ethernet) boards.
As previously reported by eeNews Europe in its Elektor Engineering Insights coverage, the series has been leaning into highly practical, engineering-led sessions rather than product demos, and this edition looks to follow that pattern.
When: Wednesday, 28 January 2026, 16:00 CET (15:00 UTC).
Speaker: Kwabena Agyeman (OpenMV).
Format: live online session with Q&A.
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