The Arduino® UNO™ Q 2GB combines high-performance computing with real-time control in a compact UNO form factor. The platform integrates a Qualcomm® Dragonwing™ QRB2210 microprocessor with an STM32U585 real-time MCU, targeting development projects that require Linux-based application processing and deterministic control on the same hardware platform.
Hybrid architecture for Linux and real-time processing
The board combines two compute domains: a Debian-capable Linux platform based on the QRB2210 and a low-power real-time MCU for classic embedded control tasks. This makes the UNO Q relevant for applications where sensing, local processing, control logic, and user interaction need to operate together.
Development platform for AI, robotics, and IoT
Arduino positions the UNO Q for robotics, IoT, and AI-oriented prototyping. The supplied product information references object recognition, voice commands, and motion detection. The platform provides GPU- and AI-relevant resources as well as interfaces for camera, display, and audio.
Qualcomm® Dragonwing™ QRB2210 as the compute foundation
At the center is the Qualcomm® Dragonwing™ QRB2210 with a quad-core Arm® Cortex®-A53 @ 2.0 GHz, Adreno GPU, and 2x ISP. Based on the provided specifications, this supports more demanding embedded vision and multimedia workloads on a compact and cost-effective development board.
Arduino ecosystem and hardware compatibility
The UNO Q remains closely aligned with the Arduino UNO ecosystem. It supports classic UNO headers for shields, adds high-speed headers for vision, audio, and display peripherals, and integrates a Qwiic connector for Modulino® nodes and compatible third-party modules. This allows the platform to serve both traditional Arduino workflows and more advanced prototyping setups.
Arduino App Lab for unified development
With Arduino App Lab, users get a unified development environment that combines Arduino Sketches, Python® scripts, and containerized AI models within a single interface. According to the product information, pre-built examples, apps, bricks, and preloaded AI models are available to accelerate development.
Preloaded AI models and practical embedded vision functions
The AI models referenced for Arduino App Lab cover use cases such as object/human detection, anomaly detection, image classification, sound recognition, and keyword spotting. This makes the board suitable for evaluation, proof-of-concept work, and early-stage product development in edge AI scenarios.
Connectivity, audio, video, and user interaction
The board includes dual-band Wi-Fi® 5, Bluetooth® 5.1, USB-C with host/device role switching and video output, audio connectivity for microphone in / headphone out / line out, as well as an 8 x 13 LED matrix and additional RGB LEDs for visual feedback and interface design.
Manufacturer information: Arduino® UNO™ Q 2GB
For project inquiries and deployment options in your development projects, please use our contact page, call 089 895050, or email store-ate@atxx.de.
- Product: Arduino® UNO™ Q 2GB
- Microprocessor (MPU): Qualcomm® Dragonwing™ QRB2210
- CPU: Quad-core Arm® Cortex®-A53 @ 2.0 GHz
- GPU: Adreno GPU 3D graphics accelerator
- ISP: 2x ISP (13 MP + 13 MP or 25 MP) @ 30 fps
- Microcontroller (MCU): STM32U585, Arm® Cortex®-M33 up to 160 MHz
- MCU flash: 2 MB
- MCU SRAM: 786 KB
- RAM: 2GB LPDDR4
- Storage: 16GB eMMC
- Power supply: USB-C 5 VDC max. 3 A
- Input voltage (VIN): 7-24 VDC
- USB: 1x USB-C with host/device role switching, power role switch, and video output
- Connectivity: Wi-Fi® 5 2.4/5 GHz, Bluetooth® 5.1
- Interfaces: I2C/I3C, SPI, PWM, CAN, UART, PSSI, GPIO, JTAG, ADC
- Video: Video output via USB-C, MIPI DSI pins on JMEDIA header
- Audio: Microphone IN / Headphone OUT / Line OUT on JMISC
- Extra features: 4x RGB user-controllable LEDs, 8x13 blue LED matrix, 1x QWIIC connector 3V3/I2C, 1x user push-button, JCTL debug connector
- Dimensions: 68.85 mm x 53.34 mm (UNO form factor)
- MPU operating system: Linux Debian OS with upstream support
- Real-time OS: Arduino Core on Zephyr OS
- Containerization: Docker and Docker Compose support
- Arduino App Lab supported OS: Windows 10+, macOS 11+, Ubuntu 22.04+, Debian Trixie (all 64-bit)
Application Areas
- Edge AI prototyping for object recognition and human detection
- Voice and audio applications such as keyword spotting and sound recognition
- Robotics and motion-control projects combining Linux and real-time domains
- IoT gateways and intelligent embedded systems with wireless connectivity
- Camera- and display-based embedded vision applications
- Evaluation platform for shield-based expansion in the Arduino ecosystem
- Education, lab, and development projects using Python®, Arduino Sketches, and AI models
FAQ
What makes the Arduino® UNO™ Q 2GB different?
The UNO Q combines a Linux-capable MPU with a real-time MCU on one platform. This allows traditional Arduino workflows to be combined with Linux, Python®, and AI-oriented development tasks.
Which processor is used on the Arduino UNO Q?
The listed microprocessor is the Qualcomm® Dragonwing™ QRB2210. According to the specification, it features a quad-core Arm® Cortex®-A53 at 2.0 GHz, an Adreno GPU, and 2x ISP.
What is the role of the STM32U585 on the UNO Q?
The STM32U585 serves as the real-time, low-power MCU for time-critical control and embedded functions, while the QRB2210 handles the Linux and application-processing side.
Is the Arduino UNO Q compatible with classic Arduino shields?
Yes. According to the product information, the board is compatible with the Arduino UNO ecosystem and supports classic UNO shields. It also adds new carrier options and a Qwiic connector.
Which AI functions are referenced for the UNO Q?
The Arduino App Lab information references AI use cases such as object/human detection, anomaly detection, image classification, sound recognition, and keyword spotting.
Which operating systems and development environments are supported?
The listed MPU operating system is Linux Debian OS, while the real-time side uses Arduino Core on Zephyr OS. Development can be done through Arduino IDE, Arduino Cloud, and Arduino App Lab.
Does the Arduino UNO Q include local storage and wireless connectivity?
The product was launched on the market by the manufacturer before December 13, 2024
and was offered for sale by us before December 13, 2024.
The product conforms to Directive 2001/95/EC.
