Developing IoT Projects with ESP32

ESP32, a low-cost and energy-efficient system-on-a-chip microcontroller, has become the backbone of numerous WiFi devices, fueling IoT innovation. This book offers a holistic approach to building an IoT system from the ground up, ensuring secure data communication from sensors to cloud platforms, empowering you to create production-grade IoT solutions using the ESP32 SoC.

Starting with IoT essentials supported by real-world use cases, this book takes you through the entire process of constructing an IoT device using ESP32. Each chapter introduces new dimensions to your IoT applications, covering sensor communication, the integration of prominent IoT libraries like LittleFS and LVGL, connectivity options via WiFi, security measures, cloud integration, and the visualization of real-time data using Grafana. Furthermore, a dedicated section explores AI/ML for embedded systems, guiding you through building and running ML applications with tinyML and ESP32-S3 to create state-of-the-art embedded products.

This book adopts a hands-on approach, ensuring you can start building IoT solutions right from the beginning. Towards the end of the book, you'll tackle a full-scale Smart Home project, applying all the techniques you've learned in real-time.

Embark on your journey to build secure, production-grade IoT systems with ESP32 today!

Type
ebook
Category
IoT & Hardware
publication date
2023-11-30
what you will learn

Explore ESP32 with IDE and debugging tools for effective IoT creation
Drive GPIO, I2C, multimedia, and storage for seamless integration of external devices
Utilize handy IoT libraries to enhance your ESP32 projects
Manage WiFi like a pro with STA & AP modes, provisioning, and ESP Rainmaker framework features
Ensure robust IoT security with secure boot and OTA firmware updates
Harness AWS IoT for data handling and achieve stunning visualization using Grafana
Enhance your projects with voice capabilities using ESP AFE and Speech Recognition
Innovate with tinyML on ESP32-S3 and the Edge Impulse platform

no of pages
578
duration
1156
key features
Build IoT projects from scratch using ESP32 * Customize solutions, take them to cloud, visualize real-time data, implement security features * Practice using a variety of hands-on projects such as an audio player, smart home, and more
approach
This book has a hands-on approach to learning; each topic is explored with practical examples. Background information is provided at the beginning of each chapter before delving into the examples. For each example, the goal is outlined, the required materials are listed and the setup is explained, before demonstrating the running code. At the end of each example there is a Troubleshooting section in case the reader needs extra help when running the code. Further reading is provided at the end of each chapter where extra information may be helpful.

The sections end with a complete project to demonstrate how a real-life project would look. Although they cannot count as final products, they lay out the fundamentals of IoT application design and development practices by explaining and implementing the key principles.
audience
If you are an embedded software developer, an IoT software architect or developer, a technologist, or anyone who wants to learn how to use ESP32 and its applications, this book is for you.

A basic understanding of embedded systems, programming, networking, and cloud computing concepts is necessary to get started with the book.
meta description
From smart sensors to cloud integration and the world of TinyML, this book is your comprehensive guide to the IoT ecosystem, using the ESP32 and industry-standard tools and technologies
short description
Starting with the fundamentals of IoT supported with real-world use cases, this book will take you through every aspect of building an IoT device using ESP32 from scratch. With each chapter, you’ll progressively enhance your IoT applications with features like sensor communication, integrating popular IoT libraries (such as LittleFS and LVGL), connectivity via WiFi, security features, cloud connectivity, and real-time data visualization techniques using Grafana. On top of them, you’ll see how to run machine learning applications on ESP32 by using popular ML frameworks and platforms, such as TtinyML and Edge Impulse.
subtitle
Unlock the full Potential of ESP32 in IoT development to create production-grade smart devices
keywords
ESP32, IoT, FreeRTOS, microcontrollers, IoT projects, cloud communication, AWS, machine learning, tinyML
Product ISBN
9781803237688