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Getting Started with Arduino VENTUNO Q

Fri, 25 Sep 2026 12:02:00 GMT

Arduino VENTUNO Q: The Next Generation AI, Robotics and Edge Computing Platform

Introduction

As Artificial Intelligence (AI), robotics, and autonomous systems continue to evolve, developers require hardware capable of performing intelligent decision-making directly at the edge. Traditional embedded systems often rely on multiple devices — an AI computer for perception and a microcontroller for hardware control — adding complexity, latency, and cost.

The Arduino VENTUNO Q redefines this workflow by integrating high-performance AI computing and deterministic real-time control into a single development platform. Designed for Edge AI, robotics, industrial automation, and computer vision, the VENTUNO Q enables developers to build intelligent systems that can perceive, decide, and act — all on one board.

1 What is Arduino VENTUNO Q?

Arduino VENTUNO Q is Arduino's most advanced embedded AI platform to date. It combines a powerful Qualcomm Dragonwing™ IQ8 processor with a dedicated STM32H5 real-time microcontroller, creating a heterogeneous dual-brain architecture capable of running Linux applications, AI models, and real-time hardware control simultaneously.

Unlike traditional Arduino boards, the VENTUNO Q is purpose-built for applications that require high-performance AI inference alongside precise interaction with the physical world.

2 Why is VENTUNO Q Different?

Traditional embedded AI systems typically require multiple devices. With the Arduino VENTUNO Q, everything runs on a single board — reducing system complexity, minimizing latency, and enabling completely offline AI applications.

3 Dual-Brain Architecture

The Qualcomm processor handles AI inference, Linux applications, multimedia, networking, and robotics frameworks, while the STM32H5 ensures deterministic real-time control of motors, sensors, and industrial interfaces.

4 Key Features

✦ Dedicated AI processor with up to 40 TOPS of neural processing

✦ Linux (Ubuntu or Debian) operating system

✦ Real-time STM32H5 microcontroller

✦ Native support for AI, robotics, and automation

✦ Arduino App Lab integration

✦ Docker and Linux development support

✦ ROS 2 compatibility

✦ Multiple camera interfaces

✦ Industrial communication interfaces

✦ Wi-Fi 6, Bluetooth 5.3, and 2.5 Gigabit Ethernet

✦ Support for Arduino Shields, Raspberry Pi HATs, Modulino nodes, and Qwiic sensors

5 Technical Specifications

6 AI Capabilities

VENTUNO Q is designed for modern AI workloads and supports ready-to-deploy models through Arduino App Lab, Qualcomm AI Hub, and Edge Impulse.

Supported AI applications include:

Local Large Language Models (LLMs)
Vision Language Models (VLMs)
Automatic Speech Recognition (ASR)
Text-to-Speech (TTS)
Object Detection
Object Tracking
Gesture Recognition
Pose Estimation
Image Classification
⚙️ Custom AI Models

7 Robotics Features

VENTUNO Q is purpose-built for robotics and autonomous machines.

Key capabilities include:

ROS 2 compatibility
Deterministic motor control
High-speed GPIO
CAN-FD communication
Multi-camera perception
Real-time actuation
Vision-guided robotics
Industrial automation workflows

8 Real-World Applications

VENTUNO Q is ideal for:

Autonomous Mobile Robots
Industrial Automation
Smart Manufacturing
Edge AI Vision Systems
Smart Surveillance
Offline AI Assistants
Human-Machine Interfaces
Healthcare Devices
Predictive Maintenance
Smart Agriculture
Research and Education

9 Why Choose VENTUNO Q?

VENTUNO Q simplifies development by bringing AI inference, Linux applications, and deterministic hardware control together in one cohesive platform.

10 Conclusion

Arduino VENTUNO Q marks a significant evolution of the Arduino ecosystem. By combining an AI-accelerated Qualcomm processor, a real-time STM32 microcontroller, and a unified software environment, it empowers developers to build intelligent, connected, and autonomous systems without the complexity of traditional multi-device architectures.

Whether you're developing robotics, industrial automation, computer vision systems, or next-generation Edge AI applications, the Arduino VENTUNO Q provides a powerful platform that bridges perception, decision-making, and action — all on a single board.

Getting Started with Arduino UNO Q: Setup Guide

Fri, 25 Sep 2026 11:50:27 GMT

Getting Started with Arduino UNO Q

The Arduino UNO Q represents a new era of Arduino development, bringing together high-performance Linux computing and real-time hardware control on a single board. Designed for modern applications such as AI, robotics, computer vision, and IoT, it offers powerful capabilities while maintaining the simplicity that Arduino is known for.

While the board packs an impressive range of features, getting started is surprisingly straightforward. Arduino App Lab streamlines the onboarding experience by guiding users through the initial configuration, network setup, and software installation process.

Before proceeding with the setup, it is important to understand what makes the UNO Q different from a traditional Arduino board. At its core, the UNO Q features a heterogeneous dual-processor architecture :

The Linux processor handles advanced computing tasks, while the STM32 microcontroller manages real-time hardware operations. Because of this architecture, the UNO Q requires an initial setup process using Arduino App Lab — and here is a guide for you to follow.

1 Unbox Your Arduino UNO Q

Carefully unbox your Arduino UNO Q. Take a moment to familiarize yourself with the board and its layout before proceeding with the software setup.

Once the board is ready, the next step is to download and install Arduino App Lab.

2 Download and Install the Arduino App Lab

Download Arduino App Lab from the official Arduino Software page:

Arduino App Lab Download:
https://docs.arduino.cc/software/app-lab/

After opening the page, locate the Arduino App Lab section and download the installer corresponding to your operating system (Windows, macOS, or Linux).

Once the download is complete:

Run the installer.
Follow the on-screen installation instructions.
Launch Arduino App Lab.

The application opens to the Welcome to Arduino App Lab screen, which serves as the central hub for discovering, configuring, and managing Arduino devices.

NOTE: Arduino App Lab can be used in two ways: installed on a computer and connected to the board, or directly on the UNO Q when it is used as a standalone Linux computer with a monitor, keyboard, and mouse.

3 Connect the Arduino UNO Q

Using a USB-C cable , connect the UNO Q to your computer. As soon as the board powers on, you will notice a short startup sequence on the onboard LED matrix.

During boot:

An infinity symbol appears; after initialization, a heart symbol is displayed on the 13 × 8 LED matrix.

These indicators confirm that the board has powered successfully and is beginning its startup process. Arduino App Lab should now detect the connected device automatically.

4 Select Your Board

Once the board is detected:

Select the Arduino UNO Q from the list of available devices.
Click Continue .

Arduino App Lab will now launch the device setup wizard and guide you through the initial configuration process.

5 Configure Your Board

The setup page allows you to personalize the board. Here you can:

Select your preferred keyboard layout.
Assign a custom name to your Arduino UNO Q.

For example:

UNOQ-Lab ----- EdgeAI-Board ----- SmartGateway

Once the settings are configured, click Next .

6 Configure Network Settings

The next stage is network configuration. Select the Wi-Fi network you would like the board to connect to and enter the required credentials.

A network connection is important because the board needs internet access to download and install the required Linux software packages and system components.

After entering the network details:

Verify the selected network.
Click Next to continue.

Network Mode: Once connected to the same network, Arduino App Lab can automatically discover UNO Q using Network Mode. This allows developers to connect to and manage the board wirelessly without requiring a USB-C connection.

This makes future development more convenient, allowing you to monitor the board and access its services without requiring a physical USB connection except for the power supply.

7 Create Board Credentials

To secure access to the Linux environment running on the UNO Q, Arduino App Lab will prompt you to create a password.

Enter:

A new password
Confirm the password again.

These credentials will later be used for accessing the board and performing administrative operations.

After confirming the password, click Confirm .

8 Software Installation and Board Provisioning

After the network configuration and credential setup are complete, Arduino App Lab automatically prepares the Arduino UNO Q for development. A software update window appears, displaying the progress of the installation process. During this stage, the application downloads, installs, updates, and configures the required system components needed for the board's Linux environment and development workflow.

The installation process includes:

Downloading the latest software packages
Updating existing system components
Configuring board communication services
Setting up development tools
Enabling required background services
Preparing the Linux environment for deployment and application development

The installation log is displayed in real time, allowing users to monitor the progress of each operation being performed on the board. Depending on your internet connection and software version, this process may take several minutes to complete.

9 Restart Arduino App Lab

Once the software installation process has been completed successfully, Arduino App Lab will prompt you to restart the application.

Click Restart Arduino App Lab to apply the newly installed configurations and services. The application will automatically relaunch itself.

10 Explore the Arduino App Lab Dashboard

After Arduino App Lab restarts, it automatically reconnects to your board and opens the main dashboard which contains a collection of ready-to-run projects designed specifically for the UNO Q.

These examples cover a variety of applications, including:

Air quality monitoring
Concrete crack detection
Blink LED projects
Cloud AI assistants
QR & barcode scanning
LED matrix control
Climate monitoring
Image classification

Each example provides a practical way to explore the capabilities of the board and understand how the Linux processor and STM32 microcontroller work together. Each example can be opened, duplicated, modified, and deployed, making the Examples Dashboard an excellent starting point for learning the platform and building custom applications.

The dashboard also provides quick access to sections such as:

My Apps
Device Management
Browser Tools
Learning Resources
Settings
Account Management

Your Arduino UNO Q is Ready!

From this point onward, your Arduino UNO Q is fully configured and ready for development. You can begin exploring the built-in examples, create your own applications, or start building advanced AI, IoT, robotics, and edge-computing projects.

4 Proof-of-Concepts We Demoed at BIEC Electronica India 2026: Smart Transit, Digital Signage, Driver Safety & Anti-Theft AI

Fri, 25 Sep 2026 06:32:32 GMT

Smart Transit, Digital Signage, Driver Safety & Anti-Theft AI

Electronica India 2026 at BIEC, Bengaluru, gave us the perfect stage to show what the Arduino UNO Q and the Arduino Nicla Vision can really do once you put them to work on real problems. Instead of a static component display, our booth ran four fully working proof-of-concept (POC) builds side by side — a passenger information system for public transport, a touchscreen kiosk running our own website, an AI-based driver drowsiness monitor, and a wireless anti-theft sentinel for display cases.

1. Why We Brought These 4 Builds to BIEC Electronica

Electronica India is where design engineers, procurement teams, and OEMs come to see what's actually possible with today's components — not just read a datasheet. So rather than only exhibiting boards and modules on a table, we wanted visitors to walk up, tap a screen, watch a dashboard react, and see a board defend an object in real time.

All four POCs share a common thread: a single embedded board doing the job of what used to take several separate devices — display, controller, connectivity, and sensing all on one PCB. Two boards did the heavy lifting across the booth:

Arduino UNO Q — a dual-processor board pairing a Qualcomm Dragonwing QRB2210 Linux application processor with an STM32U585 real-time microcontroller, plus Wi-Fi and Bluetooth. It ran the bus announcement system, the touchscreen kiosk, and the DriveSafe PRO drowsiness monitor.
Arduino Nicla Vision — a 22.86 × 22.86 mm board built around an STM32H747 dual-core MCU, with an onboard camera, 6-axis IMU, Time-of-Flight sensor, microphone, Wi-Fi and Bluetooth LE. It powered the wireless anti-theft demo.

2. POC 1: Smart Bus & Metro Passenger Announcement System

Modern buses and metro systems no longer just show a destination board — they combine visual information, voice announcements, route updates, and even digital advertising. Our first POC recreated exactly that: a passenger information system built around the Arduino UNO Q , a custom 10-inch HMI display, and a Bluetooth speaker.

Why the UNO Q?

The UNO Q's dual-processor design was the deciding factor: the Qualcomm Dragonwing QRB2210 application processor handles the higher-level display and route logic, while the onboard STM32U585 microcontroller stays free for real-time, deterministic tasks. Built-in Wi-Fi and Bluetooth made it straightforward to drive both the HMI screen and a wireless Bluetooth speaker from one board.

Figure: The UNO Q on our custom carrier board, mounted inside the JMO Smart Panel Q10 display

Simulating a real journey

For the demo, we simulated the Bengaluru Purple Line — Baiyappanahalli → Swami Vivekananda Road → Indiranagar → Halasuru → Trinity → Mahatma Gandhi Road → Cubbon Park → Kempegowda Majestic — advancing to the next station roughly every 30 seconds and reversing direction at the terminus. Visual and audio cues stayed in sync throughout the ride:

“Doors closing. Please stand clear of the doors.” — as the vehicle departs
“The next station is Indiranagar. Doors will open on the left.” — approaching a station
“We are now arriving at Indiranagar. Please mind the gap between the train and the platform.” — on arrival
“Doors opening.” — once stopped

Built-in digital advertising

We also used the same screen to sell the idea of monetised transit displays: every so often, the passenger-information screen switches to a five-second advertising slot, with a matching promotional audio cue over the Bluetooth speaker, before automatically returning to the live route view.

Keeping the Bluetooth speaker connected on boot

A trade-show demo can't afford to sit there with no audio because the speaker didn't reconnect after power-up. We solved that with a small systemd service that waits for the Bluetooth adapter, retries the pairing, and points PulseAudio/PipeWire at the speaker once it actually appears — all before the main announcement service starts:

The service is chained with Before=metro-av.service so the speaker is guaranteed to be ready before the announcement engine ever tries to play audio on boot — no manual re-pairing needed between demo sessions.

Today the system advances on a 30-second timer to simulate movement, but the same event structure — Vehicle Location → Route → Current Station → Next Station → Display + Audio — is exactly what would sit behind a real GPS/GNSS feed or vehicle telemetry in production.

3. POC 2: Touchscreen Kiosk & Digital Signage on Chromium

Right next to the transit demo, visitors could walk up to a touchscreen kiosk running our own industechno.com storefront — along with a couple of live third-party dashboards — with no desktop, no login prompt, and no way to accidentally land on a file manager. It booted straight into a fullscreen browser with touch-friendly navigation between a handful of pre-selected sites.

Why the UNO Q?

The UNO Q runs a genuine Debian (Trixie) desktop with XFCE, has HDMI output, and its onboard Adreno GPU is enough to drive Chromium comfortably — all in a small, low-power, Arduino-branded footprint that can sit behind a screen indefinitely without the clutter of a full general-purpose PC. When the show is over, the same board is just as happy going back to other Arduino/embedded work.

What the finished kiosk does

Automatically logs in and launches Chromium in fullscreen kiosk mode after power-on
Opens a predefined website with a touchscreen navigation bar for switching between sites
Provides Back and Refresh controls, and auto-hides the nav bar after a few seconds of inactivity
Automatically restarts Chromium if it ever closes unexpectedly
Runs with GPU compositing disabled for rock-solid stability during long show-floor hours

Step 1 — Set up the kiosk folder

Every kiosk-related file — the startup script and Chromium's browser profile — lives in one place:

Step 2 — A Chromium extension for the navigation bar

Rather than baking navigation into the website itself, the nav bar is a small Chromium extension — it works identically no matter which site is currently loaded, and the site list is a single array that's easy to re-brand:

Step 3 — The self-healing startup script

A short while true loop wraps the Chromium launch, so if the browser ever crashes or is closed, it relaunches automatically after five seconds — no one at the booth needs to notice or intervene:

Add that script to XFCE's autostart folder alongside LightDM autologin, and the boot sequence becomes fully unattended: Power ON → Autologin → XFCE → Kiosk script → Chromium fullscreen → industechno.com — no keyboard, mouse, or terminal required once it's deployed.

4. POC 3: DriveSafe PRO — AI Driver Drowsiness Monitor

Driver fatigue is one of the leading causes of road accidents worldwide, and it gives almost no warning — a driver can look perfectly normal seconds before their eyes close. Most commercial systems rely on a single signal, eyes-closed duration, which misses a driver slumped after fainting, one staring out the side window, or one with both hands off the wheel. DriveSafe PRO was our answer: a driver-monitoring dashboard running entirely on the Arduino UNO Q with nothing but a USB webcam.

Why the UNO Q?

Running face-mesh inference and hand tracking on every frame in real time needs a full OS-level ecosystem — Python, OpenCV, MediaPipe, and a proper V4L2 camera stack — which is exactly what the UNO Q's Linux-capable Qualcomm Dragonwing processor provides. The onboard microcontroller keeps the door open for the next stage of this build: driving a real buzzer or a physical speed governor on a deterministic real-time loop that's never at the mercy of the Linux scheduler or a webcam frame stall.

A rolling safety score, not a single flag

Instead of one drowsy/not-drowsy flag, DriveSafe PRO computes a continuous Driver Safety Score out of 100 , built from eye closure (EAR), PERCLOS, yawning (MAR), head pose, gaze direction, posture, and hands-on-wheel detection — and every penalty is forgiven the moment the driver is provably alert again. That score is tied directly to a simulated vehicle speed limit, so the permitted speed itself drops as confidence drops.

5. POC 4: Antique Guard — Wireless Anti-Theft Sentinel

Museums, galleries, and shops with valuable display pieces all share the same problem: the object is small, the case is quiet, and by the time someone notices it's gone, so is the thief. Our fourth POC, Antique Guard , asks whether a board the size of a postage stamp can watch, listen, feel, and report — entirely on its own, with no cable attached.

Why the Nicla Vision?

The Nicla Vision packs almost everything an anti-theft monitor needs onto one tiny board: an STM32H747 dual-core MCU, a 2 MP colour camera, a 6-axis IMU, a Time-of-Flight distance sensor, a MEMS microphone, and Wi-Fi and Bluetooth LE — with a LiPo battery connector, charger, and fuel gauge built in. No wiring between separate modules to loosen or fail, and it runs for hours on a small 3.7 V 200 mAh cell.

Everything over Wi-Fi — no cable required

Once running, the board joins the network and serves its own dashboard, video stream, and control endpoints directly:

Alerts also go out as a UDP broadcast on port 9999, so a PC, Raspberry Pi, or phone app on the same network can listen for alarms without polling the board — and if the configured Wi-Fi network isn't available, the board falls back to its own hotspot so the dashboard is still reachable from a phone right next to the case.

6. Side-by-Side: Which Board Powers What

7. From Showcase to Shelf — Talk to Us

Every board, sensor, display panel, and connector used across these four builds is something we stock and support at Indus Technologies . Whether you want to replicate one of these POCs, adapt it for your own product, or you're simply evaluating the Arduino UNO Q or Arduino Nicla Vision for a new design, our embedded team can help you go from a demo like this to a deployable product.

8. FAQ

Q1: Can these POCs be adapted for a real production deployment?

Yes. Each build was deliberately designed so the "simulated" parts — a timer standing in for GPS, or a virtual speedometer standing in for a real speed governor — can be swapped for real inputs without changing the underlying architecture.

Q2: Why did three of the four POCs use the Arduino UNO Q instead of a Raspberry Pi or similar SBC?

The UNO Q's combination of a Linux application processor and a real-time STM32 microcontroller on one board removes the need for a separate microcontroller wired alongside a single-board computer — useful anywhere a project needs both OS-level software (a browser, Python/OpenCV, a desktop) and deterministic, real-time I/O in the same product.

Q3: Is the Nicla Vision powerful enough for continuous, always-on monitoring?

For a task like Antique Guard, yes — the workload is lightweight sensor fusion rather than heavy video inference, so a small LiPo cell comfortably runs the board, camera, IMU, ToF sensor, and Wi-Fi radio for extended periods between charges.

Q4: Where can I get the components used in these builds?

All of them, including the Arduino UNO Q, Arduino Nicla Vision, displays, sensors, and connectors, are available through Indus Technologies . You can browse our full catalog or submit a bulk quote request for a specific bill of materials.

b4c7ac64

Getting Started with Arduino VENTUNO Q

Arduino VENTUNO Q: The Next Generation AI, Robotics and Edge Computing Platform ﻿

Introduction

Getting Started with Arduino UNO Q: Setup Guide

Getting Started with Arduino UNO Q ﻿

Your Arduino UNO Q is Ready!

4 Proof-of-Concepts We Demoed at BIEC Electronica India 2026: Smart Transit, Digital Signage, Driver Safety & Anti-Theft AI

Smart Transit, Digital Signage, Driver Safety & Anti-Theft AI

1. Why We Brought These 4 Builds to BIEC Electronica

2. POC 1: Smart Bus & Metro Passenger Announcement System

Why the UNO Q?

Simulating a real journey

Built-in digital advertising

Keeping the Bluetooth speaker connected on boot

3. POC 2: Touchscreen Kiosk & Digital Signage on Chromium

Why the UNO Q?

What the finished kiosk does

Step 1 — Set up the kiosk folder

Step 2 — A Chromium extension for the navigation bar

Step 3 — The self-healing startup script

4. POC 3: DriveSafe PRO — AI Driver Drowsiness Monitor

Why the UNO Q?

A rolling safety score, not a single flag

5. POC 4: Antique Guard — Wireless Anti-Theft Sentinel

Why the Nicla Vision?

Everything over Wi-Fi — no cable required

6. Side-by-Side: Which Board Powers What

7. From Showcase to Shelf — Talk to Us

8. FAQ

Q1: Can these POCs be adapted for a real production deployment?

Q2: Why did three of the four POCs use the Arduino UNO Q instead of a Raspberry Pi or similar SBC?

Q3: Is the Nicla Vision powerful enough for continuous, always-on monitoring?

Q4: Where can I get the components used in these builds?

Arduino VENTUNO Q: The Next Generation AI, Robotics and Edge Computing Platform

Getting Started with Arduino UNO Q