Embedded
A Radar Scope on the Arduino UNO Q: Multi-Target Tracking with the Ai-Thinker RD-03D mmWave Sensor
UNO Q with a 24 GHz radar wired to the board to build a live radar scope - the MCU turns a binary sensor stream into three tracked targets, and the Linux side draws them sweeping across a web dashboard. Along the way, a proper look at how FMCW radar works, all showing the strength of mmWave radar.
The Zephyr Devicetree: An Interactive Demo
A gentle, but complete introduction to the Zephyr devicetree, taught through the one thing every beginner gets wrong - which way round an LED is wired. Built from nothing on a low-cost Seeed XIAO nRF52840, with three onboard LEDs, one external LED wired deliberately backwards, and a button.
Under the Hood of the Arduino UNO Q: Vanilla Zephyr on the Cortex-M33
Part three of the UNO Q series removes the App Lab, Arduino core, sketch loader and just uses west, a devicetree, and our own Zephyr firmware on the board's STM32U585, driving the 13x8 LED matrix through Zephyr's display API with grayscale functionality.
How Charlieplexing works: an interactive demo
Eleven pins, 104 LEDs, and a scan you can slow down until the trick falls apart. An interactive walkthrough of the Arduino UNO Q's charlieplexed matrix, built from the board's own devicetree.
The OpenMV AE3: A Time-of-Flight Doorman for the NPU
Part two of the OpenMV series shrinks the board and the power to a quarter of a watt, while running YOLO. Built on Alif's Ensemble E3 with two Cortex-M55s and two Ethos-U55 NPUs, the AE3 also carries something its bigger sibling does not, a VL53L8CX 8x8 ToF depth sensor.
The OpenMV N6: A MicroPython Camera with a Real NPU
The OpenMV N6 pairs an 800 MHz Cortex-M55 with ST's 600-GOPS Neural-ART NPU and a removable global-shutter camera, and MicroPython - YOLO object detection at 30 fps, in Python, under a watt. We tour the hardware properly, walk through setup, and build a people-counting application on the NPU.
A Real Dual-Brain Application on the Arduino UNO Q: an AI Brick, a Camera, and a Presence Lamp
Part two of the UNO Q series puts the board's dual-brain design to real work - a vision AI Brick on the Linux side detects a person through a camera, and the microcontroller side turns that into a smoothly breathing lamp that never stutters, no matter how hard the AI is working.
Arduino
Getting to Know the Arduino UNO Q: Two Brains, One Board, and Zephyr Underneath
The Arduino UNO Q pairs a quad-core Linux processor with a real-time STM32 microcontroller on one UNO-shaped board, and quietly runs Zephyr where the classic Arduino runtime used to be. This guide takes an engineer's look at the architecture.
The State of Rust for Embedded Development in Mid-2026
A survey of where Rust stands for embedded and edge development in mid-2026, from bare-metal async on microcontrollers to services on embedded Linux, including the toolchain, the safety-certification story, the wireless gaps, and measurements from this blog's own boards.
From TinyML to Tiny Language Models: the State of Edge AI in 2026
A field guide to state-of-the-art edge AI in 2026, covering the models that now run on small devices, the neural accelerators that make them possible, and federated learning, grounded in the low-cost hardware used throughout this blog.
The Zephyr Web Server, Now in C++: Classes for Embedded Hardware
A short follow-on from the Zephyr Thread web server guide, rebuilding the same project in C++ on the Seeed XIAO nRF52840, and adding the RGB LED and the on-die temperature sensor to show why classes suit Zephyr hardware so well.
A Zephyr Web Server on the Seeed XIAO nRF52840, over Thread (C/C++)
In an earlier guide we built a tiny web server on an ESP32-C3 in async Rust, using Embassy. A browser could connect over Wi-Fi,