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Arduino UNO Q

25.00 د.ك

Arduino UNO Q bridges high-performance computing with real-time control, supporting advanced applications such as object recognition, voice commands, motion detection, and more. Get power and ease of use – all wrapped up into UNO. This 2-GB variant is a cost-effective choice if you plan to code while connected to a computer and create a project that does not require a monitor or keyboard to run.

In stock

Description

Hybrid design makes Arduino UNO Q the perfect dual-brain platform for your next innovation. It combines a Linux® Debian-capable Qualcomm® Dragonwing™ QRB2210 microprocessor with a real-time STM32U585 microcontroller (MCU). It’s Arduino, it’s a computer, it’s anything you want to build.

This variant of Arduino UNO Q features 2 GB of RAM and 16 GB of eMMC, making it the best choice if:

  • You intend to develop code for UNO Q in the familiar, PC-connected mode, and your project basically requires running the OS, Python scripts, and basic network services accessed remotely (SSH) – no demanding GUI.
  • You plan on the microprocessor running one primary application, without heavy multitasking.
  • Your project leverages no AI or lightweight Edge AI, relying on memory-optimized TinyML applications.
  • You just need local storage for basic OS and core libraries.

Arduino UNO Q is the go-to tool to prototype your next robotics or IoT project, thanks to:

  • All-in-one toolbox: Arduino UNO Q combines the powerful Qualcomm® Dragonwing™ QRB2210 microprocessor (MPU) with a real-time STM32U585 microcontroller (MCU) – no matter what you’re building, it’s your new go-to tool!
  • AI in a blink: unlock AI-powered vision and sound solutions that react to their environment.
  • Arduino support and developer tools including libraries, sketches, and projects developed for the UNO ecosystem by millions of users.
  • Compatible with the Arduino UNO ecosystem: UNO Q works with a wide range of Arduino hardware, from classic UNO shields to new carriers, and includes a Qwiic connector for Modulino® nodes and third-party modules.
  • Streamlined software experience: in addition to Arduino IDE and Arduino Cloud, you can jumpstart development with plenty of pre-built examples and AI models available through Arduino App Lab.
  • Seamless, unified development: build classic Arduino Sketches, code in Python® thanks to the pre-installed Linux® Debian OS, or mix the two from a single interface – it’s easy, with Arduino App Lab.
Powered by Qualcomm Dragonwing QRB2210

Your UNO Q is a compact, cost-effective platform with advanced features like machine vision – thanks to the integrated AI and GPU acceleration, quad-core 2.0 GHz CPU, Adreno GPU, 2x ISP, and support for camera, display, and audio provided by the Dragonwing QRB2210.

Advanced features
  • Microprocessor: Qualcomm® Dragonwing™ QRB2210
  • Microcontroller: Real-time, low-power STM32U585 MCU
  • RAM: 2GB LPDDR4
  • Storage: 16 GB eMMC built-in (no SD card required)
  • Connectivity: Dual-band Wi-Fi® 5 (2.4/5 GHz), Bluetooth® 5.1
  • High-speed headers: Power advanced peripherals – vision, audio, display
  • Classic UNO headers: Mount shields to add capabilities
  • LED matrix: 8 x 13 LED matrix for visual creation and feedback
  • USB-C connector: Power delivery, video output, or connect keyboard, mouse, USB microphones or USB cameras via dongle
  • Qwiic connector: Expand easily with Modulino® nodes – no soldering required

UNO Q empowers innovators to turn ideas into real-world solutions. Whether you’re experimenting with IoT, learning robotics, or diving into AI, your next idea starts with Q.

What is Arduino App Lab?
  • Unified Dev Experience
    App Lab is a brand-new integrated development environment that unifies the journey across Linux® and real-time OS.
    Preloaded on the UNO Q, App Lab combines Arduino Sketches, Python® scripts, and containerized AI models into fully integrated applications all managed from a single interface.
  • Ready-to-use Apps and Bricks
    Get started fast with Arduino Apps, self-contained examples with everything you need. Add plug-and-play features to your projects with pre-built Bricks to accelerate your ideas even more.
  • Pre-loaded AI Models
    With pre-loaded AI models in Arduino App Lab, you can leverage the real-world data for a wide range of capabilities such as object/human detection, anomaly detection, image classification, sound recognition, and keyword spotting.

Tech specs

Microprocessor (MPU) Qualcomm Dragonwing™ QRB2210:
Quad-core Arm® Cortex®-A53 @ 2.0 GHz
Adreno GPU 3D graphics accelerator
2x ISP (13 MP + 13 MP or 25 MP) @ 30 fps
Microcontroller (MCU) STM32U585
Arm® Cortex®-M33 up to 160 MHz
2 MB flash memory
786 KB SRAM
RAM 2GB LPDDR4
Power Supply From USB-C connector 5 V max at 3 A
Input Voltage (VIN): 7-24 V
Storage 16GB eMMC
USB 1× USB-C port with host/device role switching, power role switch and video output
Connectivity Wi-Fi® 5 2.4/5GHz with onboard antenna
Bluetooth® 5.1 with onboard antenna
Interfaces I2C/I3C
SPI
PWM
CAN
UART
PSSI
GPIO
JTAG
ADC
Video Video output support via USB-C
MIPI DSI pins on JMEDIA header
Extra 4× RGB user-controllable LEDs
8×13 Blue LED Matrix
1x Qwiic connector voltage 3V3, I2C
1x User push-button
JCTL: MPU Remote Debug connector
Audio Microphone IN / Headphone OUT / Line OUT on JMISC
Dimensions 68.85 mm x 53.34 mm (UNO form factor)
MPU Operating System Linux Debian OS with upstream support
Real-time Operating System Arduino Core on Zephyr OS
Containerization Docker and Docker Compose support
Support Operating Systems for Arduino App Lab Windows: Windows 10 or later (64-bit)
macOS: macOS 11 or later (64-bit)
Linux: Ubuntu 22.04 or later, and Debian Trixie (64-bit)

Documentation