What this book covers
Chapter 1, Introduction to IoT Development and the ESP32 Platform, discusses IoT technology in general and introduces the ESP32 platform in terms of both hardware and software.
Chapter 2, Understanding the Development Tools, talks about the popular development environments ESP-IDF and PlatformIO, and teaches you how to utilize the toolchain to develop and test ESP32 applications.
Chapter 3, Using ESP32 Peripherals, gives practical examples of integrating with sensors and actuators by interfacing with common ESP32 peripherals, including audio and graphics.
Chapter 4, Employing Third-Party Libraries in ESP32 Projects, talks about different methods of importing third-party libraries with examples. LVGL is one of the libraries discussed in this chapter.
Chapter 5, Project – Audio Player, is the first reference project in the book with audio, graphics, and button interactions to engage its users.
Chapter 6, Using Wi-Fi Communication for Connectivity, shows how to communicate over different application layer protocols, such as MQTT and REST, after connecting to a local Wi-Fi network.
Chapter 7, ESP32 Security Features for Production-Grade Devices, explores the security features of ESP32 by giving examples of secure firmware updates and secure communication techniques. ESP RainMaker is the IoT platform that provides the backend services in the examples.
Chapter 8, Connecting to Cloud Platforms and Using Services, explains how to pass data to AWS IoT Core and visualize it on Grafana. Amazon Alexa integration is also covered with a step-by-step project example.
Chapter 9, Project – Smart Home, builds a full-fledged smart home solution on the ESP RainMaker platform to show how different devices can operate together in the same product.
Chapter 10, Machine Learning with ESP32, introduces the basics of machine learning and tinyML on ESP32, and discusses Espressif’s machine learning frameworks with a speech recognition example.
Chapter 11, Developing on Edge Impulse, explains how to develop machine learning applications on ESP32 by utilizing the Edge Impulse platform.
Chapter 12, Project – Baby Monitor, is the last project of the book, which shows how to design and develop a connected machine learning product. Edge Impulse and ESP RainMaker are the platforms employed in the project.