Qt Group’s pitch here is that modern embedded UI shouldn’t feel “embedded” anymore: Qt for MCUs is a lightweight graphics framework that brings phone-like interaction patterns (sliders, scrolling, transitions) onto microcontrollers with tight RAM/flash budgets, while keeping latency low enough to feel responsive on touch and rotary inputs. The key idea is that you can ship a richer HMI without jumping straight to a full MPU platform, and still keep deterministic behavior and cost where an MCU makes sense. https://www.qt.io/qt-for-mcus
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A big part of the workflow story is designer–developer handoff: screens are authored in Figma, imported via a bridge into Qt Design Studio, then translated into an optimized embedded UI pipeline that preserves a pixel-for-pixel layout while generating assets and logic suitable for constrained targets. After import, engineers can still tune the result using a property editor and object hierarchy (rather than rewriting visuals by hand), which matters when you’re iterating UX alongside hardware constraints like frame buffer strategy, asset compression, and rendering load on a Cortex-M core.
Filmed at Embedded World North America 2025, the booth demos span multiple silicon families to underline portability: examples run on NXP (including an i.MX RT-class MCU mentioned as “1060”), Infineon platforms like TRAVEO, and a newly launched Infineon edge processor board referenced as “PSoC Edge.” The takeaway is less about any single chip and more about keeping one UI stack that can scale from bare-metal/RTOS MCU deployments up to Qt’s larger footprint on application-class processors, with the same interaction model carrying over across product tiers there.
On the “how is this even possible on a few megabytes” side, the demos show tricks like 2.5D-style animation and layered gauges that read like an instrument cluster, but are engineered for MCU realities: fewer abstractions, tighter control of timing, and careful budgeting of textures, fonts, and scene graphs. Qt highlights support across common embedded OS choices (bare metal, FreeRTOS, Zephyr, and AUTOSAR in automotive contexts), and contrasts this with GPU-accelerated Qt experiences on newer NXP i.MX parts (an i.MX95 example is shown for a medical-style UI with ranges and charts).
The broader direction they hint at is the convergence of MCU and MPU capabilities: more hybrid SoCs that deliver MPU-like graphics (and increasingly edge AI hooks) at MCU-like cost and power. That shows up in adjacent demos too, including an industrial “smart plant” concept (safety PPE detection and predictive maintenance) and an aerospace/defense MOSA-oriented interface example aimed at modular, spec-driven UI components that can be reused and refreshed across long-lived programs without re-platforming the whole stack each time, which is the real adoption path.
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