Experience the next generation of innovation with the all-new Arduino UNO Q – a Single Board Computer with dual-brain powerhouse built for AI, recognition, voice commands, motion detection, and beyond.
The all-new Arduino UNO Q redefines with its dual-core processor, combining the power of a Qualcomm Dragonwing QRB2210 processor and a real-time STM32U585 microcontroller. Designed for next-gen projects, it enables AI-powered recognition, voice control, and motion detection, delivering unmatched performance, versatility, and ease of use in one compact, powerful board
The Arduino UNO Q Single Board Computer marks a groundbreaking evolution in embedded computing. Featuring a dual-core configuration that merges the Qualcomm Dragonwing QRB2210 microprocessor and STM32U585 microcontroller, this board delivers unparalleled performance across AI, IoT, and robotics projects. With 2GB LPDDR4 RAM and 16GB eMMC storage, it efficiently handles demanding multitasking environments. The UNO Q supports AI-driven object recognition, sound analysis, and motion detection, making it a next generation platform for intelligent systems. Equipped with Wi-Fi 5, Bluetooth 5.1, USB-C video output, and Linux Debian OS, it bridges the gap between traditional microcontroller simplicity and modern computing power. Ideal for developers, researchers, and AI innovators, this board empowers users to build smarter, faster, and more responsive projects with seamless software and hardware integration. Featured By RoboticsBD.
Product Images are shown for illustrative purposes only and may differ from the actual product.
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Features:
Dual-Core Hybrid Processing: Combines the power of Qualcomm Dragonwing QRB2210 MPU and STM32U585 MCU for superior AI and real-time control.
AI-Capable Platform: Supports machine vision, speech recognition, and motion tracking with integrated AI processing.
Enhanced Connectivity: Features Wi-Fi 5 (2.4/5GHz) and Bluetooth 5.1 for fast, stable, and reliable communication.
Comprehensive OS Support: Runs Debian Linux and Zephyr RTOS with Docker container support for scalable applications.
Developer Flexibility: Allows simultaneous Arduino Sketch and Python execution via Arduino App Lab.
Advanced Visual Interface: Includes 8×13 LED matrix and USB-C video output for real-time visual feedback.
Full Compatibility: Works with existing UNO shields, Qwiic modules, and Modulino expansion systems.
Robust Hardware I/O: Offers interfaces like UART, SPI, I2C/I3C, PWM, ADC, CAN, and JTAG for diverse applications.
Powerful Graphics: Equipped with Adreno GPU supporting 3D rendering and 25MP dual-camera input.
Compact and Efficient: USB-C powered (5V/3A), compact 68.85mm × 53.34mm form factor for embedded designs.
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Applications:
AI & Machine Learning Projects – Implement voice, image, and motion recognition models for robotics or automation.
IoT Gateways – Use as a smart node with reliable wireless communication for connected ecosystems.
Robotics & Automation – Integrate for real-time motor control and intelligent decision-making.
Prototyping & Research – Ideal for rapid AI model deployment and testing with Linux-based environments.
Smart Home Systems – Use for AI-powered assistants, voice recognition, and sensor integration.
Education & Development – Teach embedded AI, Python, and Linux fundamentals using a single compact board.
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| General Specifications |
| Processor (MPU) | Qualcomm Dragonwing QRB2210, Quad-core Arm Cortex-A53 @ 2.0 GHz |
| GPU | Adreno 3D Graphics Accelerator |
| Microcontroller (MCU) | STM32U585 Arm Cortex-M33 up to 160 MHz |
| MCU Memory | 2 MB Flash, 786 KB SRAM |
| RAM | 2GB LPDDR4 |
| Storage | 16GB eMMC |
| Operating Systems | Debian Linux (64-bit) + Zephyr RTOS |
| Connectivity | Wi-Fi 5 (2.4/5GHz), Bluetooth 5.1 |
| Interfaces | UART, SPI, I2C/I3C, CAN, PWM, ADC, GPIO, JTAG |
| Video | MIPI DSI (JMEDIA), USB-C video output |
| Audio | Microphone IN / Headphone OUT / Line OUT (JMISC) |
| Power Supply | USB-C 5V DC @ 3A Max |
| Clock Speed | 160 MHz (MCU), 2.0 GHz (MPU) |
| Compatibility | UNO shields, Qwiic modules, Modulino nodes |
| Dimensions (L × W) | 68.85mm × 53.34mm |
| Shipment Weight | 0.05 kg |
| Shipment Dimensions | 10 × 7 × 4 cm |
Please allow 5% measuring deviation due to manual measurement.
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Documentation:
- Datasheet
Experience a new, intuitive way to code, leveraging Arduino Apps, self-contained examples with everything you need for a quick start. Add plug-and-play features to your projects with pre-built Bricks, to accelerate your ideas even more at Arduino App Lab
What is Arduino App Lab?
- Unified Platform: Combines Arduino Sketches, Python, and AI models on UNO Q.
- Ready-to-Use Tools: Includes preloaded Apps and Bricks for quick project setup.
- AI Capabilities: Supports object detection, image classification, sound recognition, and more.
- Single Interface: Manage coding and AI in one place for faster developmen
Package Includes:
1 x Arduino UNO Q Single Board Computer
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