Description
Arduino UNO Q Dual-Core AI-Ready Single Board Computer (2GB RAM)
The Official Arduino UNO Q (Model ABX00162) is a next-generation AI-ready single board computer designed for innovators, educators, and developers. Built with a dual-brain architecture, it combines the power of a Qualcomm Dragonwing QRB2210 application processor with a STM32U585 real-time microcontroller, enabling seamless integration of Linux applications, Arduino sketches, Python code, and AI workloads.
UNO Q unlocks advanced capabilities such as object recognition, voice control, motion detection, and real-time sensor processing, all within the familiar Arduino ecosystem. With 2GB LPDDR4 RAM, 16GB eMMC storage, Wi-Fi 5, Bluetooth 5.1, and full UNO shield compatibility, it is a powerful yet beginner-friendly platform for AI, robotics, IoT, and embedded development.
Key Features:
- Dual-core architecture with MPU and MCU
- AI-ready platform with preloaded models
- Supports Arduino Sketches and Python together
- Built-in Linux Debian OS with Docker support
- Dual-band Wi-Fi 5 and Bluetooth 5.1
- UNO shield, Qwiic, and Modulino compatibility
- 8×13 LED matrix and RGB user LEDs
- USB-C with power, data, and video output
- Arduino App Lab support for rapid development
Technical Specifications
| Parameter | Details |
|---|---|
| Item Type | Single Board Computer |
| Model | Arduino UNO Q |
| Microcontroller | STM32U585 ARM Cortex-M33 up to 160 MHz |
| MCU Memory | 2 MB Flash, 786 KB SRAM |
| Microprocessor | Qualcomm Dragonwing QRB2210 |
| CPU | Quad-core ARM Cortex-A53 @ 2.0 GHz |
| GPU | Adreno 3D Graphics Accelerator |
| RAM | 2GB LPDDR4 |
| Storage | 16GB eMMC |
| Operating Systems | Linux Debian, Zephyr RTOS |
| Input Voltage (VIN) | 7–24 V DC |
| Power via USB-C | 5 V DC up to 3 A |
| Connectivity | Wi-Fi 5 (2.4/5 GHz), Bluetooth 5.1 |
| Interfaces | UART, ADC, CAN, GPIO, I2C/I3C, SPI, PWM, JTAG |
| USB | 1× USB-C (host/device, power, video) |
| Video | MIPI DSI, USB-C video output |
| Audio | Mic IN, Headphone OUT, Line OUT |
| GTIN | 7630049205673 |
Applications
- AI and machine learning projects
- Voice and gesture recognition systems
- Robotics and automation
- IoT gateways and smart devices
- Computer vision applications
- Embedded Linux development
- Educational and research projects
Precautions
- Use recommended power supply ratings
- Avoid short circuits on GPIO pins
- Ensure proper ventilation during high workloads
- Handle the board using ESD precautions
- Use compatible shields and peripherals