A new era for open hardware

Arduino has unveiled the Uno Q — a bold leap forward that merges the simplicity of Arduino with the intelligence of modern AI. Built with Qualcomm technology, Uno Q combines real-time control and Linux-level computing in one compact, affordable board. It’s designed to bring the power of machine learning and high-performance edge computing to everyone — from classrooms to creative labs and industry workshops.

This isn’t just another upgrade. It’s a statement: AI belongs in open hardware.

What’s new in the Uno Q

  • Hybrid Architecture: A Qualcomm Dragonwing QRB2210 chip handles Linux-based AI and vision tasks, while a microcontroller core keeps real-time control precise and responsive.

  • Built-in PC: Uno Q runs a lightweight Linux OS, making it function like a mini PC — just plug it into any monitor via USB-C and you’re ready to code, prototype, or run AI demos.

  • Plug-and-Play Simplicity: USB-C connectivity allows it to double as a desktop computer or development hub. Students and creators can connect keyboards, displays, and peripherals directly.

  • App Lab Integration: The new App Lab platform unifies sketches, Python scripts, and AI workflows. It supports C++, Python, and JavaScript, allowing multiple programming languages in one workspace.

  • AI-Friendly Performance: Built for computer vision, audio recognition, and data inference directly on the board.

  • Open and Accessible: Still 100% Arduino — open documentation, community support, and compatibility with familiar shields and libraries.

Why this launch matters

The Uno Q marks a turning point where edge AI, open hardware, and education converge. For the first time, creators can explore real-time sensing, learning, and decision-making on a single open-source platform — without relying on cloud services or proprietary systems.

With its built-in PC capability and support for multiple programming languages, Uno Q makes advanced computing accessible to everyone — no extra hardware required.

This means:

  • Faster experimentation.

  • Greater data privacy.

  • More inclusive access to AI development.

Empowering every community

🎓 For educators

The Uno Q makes AI learning tangible. Imagine students training small models to recognise plants, detect sounds, or respond to gestures — all without an internet connection. Teachers can introduce design thinking and computational problem-solving with real-world relevance.

Project inspiration: AI Weather Observer – students build a local station that reads conditions, predicts changes, and learns over time.

🔧 For makers

This is the board that turns imagination into prototypes. From smart art installations to home automation with local voice commands, Uno Q gives makers the power to merge creativity and computation.

Project inspiration: Voice-Activated Workshop Assistant – a hands-free helper that controls tools or logs data using onboard AI.

🏭 For industry innovators

Engineers and startups can now test AI concepts at the edge — safely, affordably, and openly. Uno Q enables rapid prototyping of vision-guided robotics, predictive maintenance tools, or sensor-driven automation systems.

Project inspiration: Smart Conveyor Prototype – uses onboard vision to detect defects or count items, all processed locally.

Why open-source AI matters

Open hardware democratizes technology. The Uno Q embodies that by giving everyone the freedom to understand, modify, and extend AI systems — not just use them. It’s about empowering learners and creators, not locking them into platforms.

With the flexibility of multi-language programming, a built-in development PC, and App Lab’s intuitive interface, Arduino continues its mission to make innovation open, ethical, and inclusive.

Why this matters for AU classrooms

Australian classrooms are ready for AI — but it must be inclusive and practical. The Uno Q supports hands-on exploration aligned to the Digital Technologies curriculum (Version 9). Students can learn about data representation, automation, and ethical design while building projects that run safely offline. It bridges the gap between learning about AI and creating with it.

Key benefits:

  • Offline, privacy-first learning

  • Plug-and-play setup for rapid classroom use

  • Cross-curricular integration (Science, Design & Tech, Digital Tech)

  • Supports inquiry-based learning and sustainability themes

AQs

1. Is the Uno Q compatible with previous Arduino shields?
Yes, it maintains backward compatibility with most existing Uno shields.

2. Can I run AI models directly on the board?
Yes. Uno Q can run lightweight AI models locally using its integrated processor and App Lab environment.

3. Will it work with the Arduino Cloud?
Yes. It can sync with the Arduino Cloud but doesn’t require it for edge AI tasks.

4. What programming languages does Uno Q support?
App Lab supports C++, Python, and JavaScript — making it ideal for both beginners and advanced users.

5. Is it suitable for schools?
Absolutely. It’s designed for education — approachable, safe, and open.

6. When will it be available in Australia?
Availability details are coming soon. Stay tuned with Pakronics, official Arduino distributor in Australia.

Stay tuned with Pakronics — your official Arduino distributor in Australia — for the latest updates, EDU packs, and AI-ready kits featuring the new Arduino Uno Q.

AquatisonArduinoQualcomUno q

Leave a comment

All comments are moderated before being published