Official Arduino UNO Q - The All-in-One Toolbox for AI, Robotics & IoT

Experience the next generation of Arduino innovation with the Official Arduino UNO Q (ABX00162) - a revolutionary dual-brain single-board computer that combines the power of Linux computing with real-time microcontroller control. Perfect for AI applications, computer vision, robotics, and advanced IoT projects.

Dual-Architecture Design

The Arduino UNO Q features a unique hybrid design that pairs:

• Qualcomm Dragonwing QRB2210 Microprocessor (MPU) - Quad-core ARM Cortex-A53 up to 2.0 GHz running full Debian Linux
• STM32U585 Microcontroller (MCU) - Real-time ARM Cortex-M33 for precise hardware control

This dual-brain architecture allows you to run AI-powered vision and sound applications while maintaining real-time control over sensors and actuators.

Key Features

Powerful Processing

• Quad-core 2.0 GHz ARM Cortex-A53 CPU
• Adreno GPU with OpenGL ES and OpenCL support
• Real-time STM32U585 MCU (ARM Cortex-M33)
• 2 GB LPDDR4 RAM
• 16 GB eMMC built-in storage (no SD card needed)

AI & Machine Learning Ready

• Pre-loaded AI models in Arduino App Lab
• Object/Human detection
• Image classification
• Sound recognition
• Keyword spotting
• Anomaly detection
• On-device AI processing (no cloud dependency)

Advanced Connectivity

• Dual-band Wi-Fi 5 (2.4 GHz / 5 GHz)
• Bluetooth 5.1
• USB-C with Power Delivery and video output
• Qwiic connector for plug-and-play expansion

Built-in Visual Feedback

• 8×13 Blue LED matrix
• 4× RGB user LEDs
• Perfect for visual creation and immediate feedback

Flexible I/O Options

• Classic Arduino UNO headers (shield-compatible)
• Bottom high-speed connectors for advanced peripherals
• MIPI-CSI camera support (2× ISP)
• MIPI-DSI display support
• Analog audio input/output

Development Made Easy - Arduino App Lab

Preloaded with Arduino App Lab, a revolutionary all-in-one development environment that:

• Combines Arduino Sketches, Python scripts, and AI models seamlessly
• Provides ready-to-use Apps for quick starts
• Includes plug-and-play Bricks to accelerate development
• Works as standalone SBC or connected to your PC

What's Included

• 1× Official Arduino UNO Q Board (ABX00162)
• Pre-installed Arduino App Lab
• Pre-loaded AI models
• Access to Arduino Cloud (3-month free subscription upon registration)
• Documentation and getting started guides

Technical Specifications

Perfect For

• Edge AI applications
• Computer vision projects
• Robotics with AI integration
• Voice-activated systems
• Motion detection and tracking
• Smart IoT devices
• Interactive displays and kiosks
• STEM education and learning
• Industrial automation
• Prototyping advanced applications

Two Development Modes

1. Standalone SBC Mode: Connect USB-C dongle with keyboard, mouse, and HDMI display - your UNO Q becomes a complete computer
2. PC-Connected Mode: Use Arduino App Lab from your computer for familiar Arduino development experience

Software Compatibility

• Arduino App Lab (pre-installed)
• Arduino IDE (for microcontroller side)
• Arduino CLI
• Python scripting
• Linux applications
• Docker containerization
• Compatible with: Windows 10+, macOS 11+, Ubuntu 22.04+, Debian Trixie

Why Choose Arduino UNO Q?

The Arduino UNO Q is Arduino's first Linux-capable board that maintains the beloved UNO form factor and shield compatibility while adding unprecedented computing power. It's the perfect bridge between simple microcontroller projects and advanced AI/Linux applications - all on one board.

Unlike traditional single-processor boards, the UNO Q's dual-brain architecture means you never have to choose between high-level computing and real-time control. Run computer vision algorithms on Linux while your microcontroller handles precise sensor timing - simultaneously, seamlessly.

Open Source Hardware

Schematics and Gerber files available under CC-BY-SA 4.0 license, maintaining Arduino's commitment to open-source innovation.

Buy Official Arduino UNO Q at CrazyPi.com - Your trusted source for genuine Arduino boards and cutting-edge development platforms.