ARDUINO UNO Q – Edge AI with Real-Time Control
Ready for Use in Industrial Systems
The UNO Q from ARDUINO, a Qualcomm company, combines the Edge AI performance of the Qualcomm Dragonwing™ SoCs with the real-time capabilities of the STM32 on a single-board computer. Using the familiar ARDUINO software, it can be deployed immediately in intelligent displays, POS terminals, vending machines, and a wide range of industrial systems. CODICO provides support for customizing the UNO Q to meet your specific requirements.
Product Highlights with "Dual-Brain" Architecture
SoC (Brain 1): Qualcomm Dragonwing QRB2210
- Runs a full Debian Linux operating system
- Handles heavy lifting like AI inferencing, computer vision, web servers, and high-level Python scripts
- Quad-core Arm Cortex-A53 and an Adreno 702 GPU
MCU (Brain 2): STMicroelectronics STM32U585
- Handles real-time, deterministic tasks
- Manages the standard ARDUINO headers for motor control, sensor reading, and low-latency I/O without the timing jitter often found in Linux.
- Arm Cortex-M33 running ARDUINO Core on Zephyr OS
More about Single Board Computer.
Key Differentiating Features
- The UNO Q is the first "UNO" built specifically for Edge AI industrial applications:
- Dual Camera ISPs: Can handle two 13MP cameras or one 25MP camera at 30fps with zero shutter lag
- AI Engine: Dedicated hardware acceleration for TensorFlow Lite models, enabling on-device facial recognition and object detection
- Integrated Graphics: The Adreno GPU allows for 3D rendering and video output (up to 1080p).
Hardware & Connectivity
The board maintains the classic UNO footprint and extends it to include:
- On board memory: 2GB LPDDR4 and 16GB eMMC storage, 4GB and 32GB eMMC variant available soon
- Built-in Wi-Fi5 and Bluetooth 5.1.
- The USB-C port supports DisplayPort output, plug it into a monitor like a PC
- New Headers: In addition to the classic top headers, it has high-speed connectors on the underside for MIPI-CSI (camera) and MIPI-DSI (display)
Software Environment
To manage two different processors at once, ARDUINO introduced App Lab. An exciting, new IDE allows you to:
- Write ARDUINO Sketches (C++) for the STM32 MCU and Python scripts for the QRB2210 SoC in one workspace.
- Use "Bricks": Pre-built modular code blocks for AI and multimedia
- Communicate between the Linux side and the ARDUINO side using the ARDUINO Bridge (RPC) library
How Does the ARDUINO UNO Q Support Industrial Edge-AI Projects?
The ARDUINO UNO Q combines Edge-AI performance and real-time control on a single board. Developers can use C++ and Python in one environment, leverage modular AI and multimedia building blocks, and easily integrate cameras, sensors, and displays – making it ideal for rapid prototyping and industrial projects.
Build your Edge AI application using available sample applications for object detection, face ID, image classification and much more.
Your Contact Person
For more information about the ARDUINO UNO Q, please contact Thomas Carmody.
