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Arduino UNO Q: Linux, Python & Edge AI: A Hands-On Guide to Arduino Programming, Electronics, Computer Vision, IoT, and Intelligent Projects

Arduino UNO Q: Linux, Python & Edge AI: A Hands-On Guide to Arduino Programming, Electronics, Computer Vision, IoT, and Intelligent Projects

Arduino UNO Q: Linux, Python & Edge AI: A Hands-On Guide to Arduino Programming, Electronics, Computer Vision, IoT, and Intelligent Projects by Wilma Wang
English | 2026 | PDF | 266 pages | 10.1 Mb

Arduino UNO Q can do far more than run Arduino sketches—but that also means there is much more to figure out.

How do Linux and the microcontroller work together? Where should your Python code run? How do you move sensor data between them? And how do you turn networking, computer vision, and local AI into projects that actually interact with hardware?

Arduino UNO Q: Linux, Python & Edge AI gives you one practical path through all of it.

Starting with the board itself, you’ll learn how the Linux-capable processor and STM32U585 microcontroller divide responsibilities and work together. From there, you’ll build practical skills in Arduino programming, electronics, Linux, Python, sensors, actuators, networking, and communication between the two computing environments.

As you progress, you’ll learn how to create IoT applications, work with HTTP APIs and MQTT, build local web interfaces, connect cameras, process images, run AI inference locally, and turn software decisions into real physical actions.

You’ll also put these skills to work through complete projects, including an environmental monitoring station, a vision-based security monitor, an intelligent object detection and alert system, and a smart automation controller.

Inside, you’ll learn how to:
Set up and confidently work with Arduino UNO Q
Build circuits and connect sensors and actuators
Use Linux and essential command-line tools
Write Python applications for processing, storage, and hardware interaction
Combine Python and Arduino in hybrid applications
Build connected projects with APIs, MQTT, and IoT
Capture and process camera images for computer vision
Run local AI inference and connect results to physical hardware
Diagnose hardware, Linux, Python, networking, camera, and AI problems
Plan and build complete intelligent UNO Q projects of your own


The focus throughout is practical. Concepts are introduced when you need them, code is kept purposeful, and larger systems are broken into manageable stages so you understand how the pieces fit together rather than simply copying instructions.

By the end, you won’t just know the individual features of UNO Q. You’ll know how to combine them to create connected devices that sense, process, decide, communicate, and act.

Who This Book Is For:
This book is for anyone who wants to learn Arduino UNO Q through hands-on work. You do not need previous experience with UNO Q, Linux, Python, or Artificial Intelligence. Basic computer skills are enough to begin. Programming and electronics concepts are introduced as they become necessary. If you already have Arduino experience, you can move quickly through the introductory electronics and programming material and concentrate on Linux, Python, integration, IoT, computer vision, and AI.

If you’re ready to put the full capabilities of your Arduino UNO Q to practical use, get your copy today and start building.

Download Arduino UNO Q: Linux, Python & Edge AI: A Hands-On Guide to Arduino Programming, Electronics, Computer Vision, IoT, and Intelligent Projects

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