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Arduino UNO Q

Manufacturer: Arduino
Part Number: ABX00173
Description: Arduino UNO Q bridges high-performance computing with real-t...
Quantity: 1000 In Stock
Ship Date : 7-10 working days
Rating:
80%
In stock
Ext. Price: ₹6,608.00

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.

MOQ 1 Mult 1 SPQ 1

For large-scale purchases, we offer more competitive prices.

Overview

Why the 4GB variant is the professional choice

While the UNO™ Q series offers versatility, the 4GB RAM / 32GB eMMC model is the definitive version for developers who refuse to compromise:

  • Massive Memory: 4GB of LPDDR4 RAM allows you to run multiple Linux containers, Python scripts, and AI models simultaneously without bottlenecks.
  • High-Speed Integrated Storage: Forget unreliable SD cards. The built-in 32GB eMMC ensures fast OS boot times and secure data logging.
  • Advanced Multimedia: Smoothly handle dual-camera feeds and high-definition displays via integrated MIPI interfaces.

Dual-brain architecture: the best of both worlds

The UNO™ Q 4GB features a unique "Split-Processing" design that allows you to manage tasks where they belong:
1. The High-Level Brain (MPU): Powered by the Qualcomm® Dragonwing™ QRB2210 (Quad-core 64-bit ARM® Cortex®-A53). It runs a full Debian Linux environment, perfect for AI frameworks, web servers, and complex data processing.
2. The Real-Time Brain (MCU): Powered by the STM32U585 (Cortex®-M33). It manages the I/O, sensors, and time-critical hardware tasks with the legendary reliability of the Arduino ecosystem.

AI Vision and Multimedia Ready

Bring your projects to life by adding "eyes" to your Arduino UNO™ Q. Thanks to the high-speed USB-C port and the power of the Qualcomm® quad-core processor, you can plug in a standard USB mini-webcam to unlock a world of possibilities. Whether you are implementing facial recognition with AI and Machine Learning, building a smart surveillance system, or streaming real-time video, the UNO Q handles it with ease. With native support for UVC webcams on Linux and seamless integration within Arduino App Lab, moving from image capture to data processing is faster and more intuitive than ever.

The Arduino app lab: your bridge to innovation

One of the most powerful features of the UNO Q 4GB is the Arduino App Lab. This software suite simplifies the management of your hybrid system:

  • Simplified Interconnect: Skip the complexity of low-level coding. Easy, high-level management of Linux (MPU) and Arduino (MCU) communication, making integration faster than ever.
  • Flexible AI Execution: Get your models up and running in seconds. Deploy directly to the Qualcomm® processor, utilizing its high-performance CPU and GPU architecture for efficient machine learning tasks.
  • Real-Time Dashboard: Monitor CPU temperature, memory usage, and pin status via a sleek, web-based interface.

Applications & use cases

  • Edge AI & Vision: Real-time object detection, facial recognition, and autonomous drone navigation.
  • Industrial IoT Gateway: Securely aggregate data from local sensors and process it locally before cloud synchronization.
  • Professional Prototyping: The perfect platform for building smart home hubs, media controllers, or advanced 3D printer interfaces.

Looking for lower cost with balanced performance?

Check out the Arduino UNO™ Q 2-GB variant.

Need help?

Check the Arduino Forum for questions about the Arduino Language or how to make your own Projects with Arduino. If you need any help with your product, please contact the official Arduino User Support through our Contact us page.

Warranty

You can find your product warranty information here.


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
RAM4GB LPDDR4
Power SupplyFrom USB-C connector 5 V max at 3 A
Input Voltage (VIN): 7-24 V
Storage32GB eMMC
USB1× USB-C port with host/device role switching, power role switch and video output
ConnectivityWi-Fi® 5 2.4/5GHz with onboard antenna
Bluetooth® 5.1 with onboard antenna
InterfacesI2C/I3C
SPI
PWM
CAN
UART
PSSI
GPIO
JTAG
ADC
VideoVideo output support via USB-C
MIPI DSI pins on JMEDIA header
Extra4× RGB user-controllable LEDs
8x13 Blue LED Matrix
1x Qwiic connector voltage 3V3, I2C
1x User push-button
JCTL: MPU Remote Debug connector
AudioMicrophone IN / Headphone OUT / Line OUT on JMISC
Dimensions68.85 mm x 53.34 mm (UNO form factor)
MPU Operating SystemLinux Debian OS with upstream support
Real-time Operating SystemArduino Core on Zephyr OS
ContainerizationDocker and Docker Compose support
Support Operating Systems for Arduino App LabWindows: Windows 10 or later (64-bit)
macOS: macOS 11 or later (64-bit)
Linux: Ubuntu 22.04 or later, and Debian Trixie (64-bit)
More Information
Manufacturer Arduino
More Information
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
Storage 16GB eMMC
USB 1× USB-C port with host/device role switching, power role switch and video output
Power Supply From USB-C connector 5 V max at 3 A Input Voltage (VIN): 7-24 V
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
Audio Microphone IN / Headphone OUT / Line OUT on JMISC
Extra 4× RGB user-controllable LEDs 8x13 Blue LED Matrix 1x Qwiic connector voltage 3V3, I2C 1x User push-button JCTL: MPU Remote Debug connector
Dimensions 68.85 mm x 53.34 mm (UNO form factor)
MPU Operating System Linux Debian OS with upstream support
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)
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