Book Image

Developing IoT Projects with ESP32 - Second Edition

By : Vedat Ozan Oner
3 (2)
Book Image

Developing IoT Projects with ESP32 - Second Edition

3 (2)
By: Vedat Ozan Oner

Overview of this book

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!
Table of Contents (15 chapters)
13
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14
Index

Implementation

The implementation will have only one application running on the ESP32-S3 Box Lite. It sounds relatively easy to develop, but each project comes with its own challenges. The challenge of this project is memory management. We will discuss memory management and optimization in detail throughout the implementation. The first step is to generate the ML model.

Generating the ML model

As we mentioned earlier, we will find a baby-crying detection model from the Edge Impulse project repository and download the C++ SDK with the model in it. The following steps show how to do that:

  1. Go to https://edgeimpulse.com/projects/ and type baby-cry-detector in the search box. Select the first project from the results:

    Figure 12.3: Baby-cry-detector project on Edge Impulse

  1. Clone the project by pressing the Clone this project button at the top right:

    Figure 12.4: Cloning the Edge Impulse project

  1. Log in to your Edge Impulse...