Developing IoT projects with ESP32 : Unlock the full potential of ESP32 in IoT development to create production-grade smart devices / Vedat Ozan Oner

Includes index.

Preface --
Chapter 1: Introduction to IoT development and the ESP32 platform --
Chapter 2: Understanding theDevelopment Tools --
Chapter 3: Using ESP32 Peripherals --
Chapter 4: Employing Third-Party Libraries in ESP32 Projects --
Chapter 5: Project – Audio Player --
Chapter 6: Using Wi-Fi Communication for Connectivity --
Chapter 7: ESP32 Security Features for Production-Grade Devices --
Chapter 8: Connecting to Cloud Platforms and Using Services --
Chapter 9: Project – Smart Home --
Chapter 10: Machine Learning with ESP32 --
Chapter 11: Developing on Edge Impulse --
Chapter 12: Project – Baby Monitor --
PacktPage --
Other Books You May Enjoy --
Index.

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 technologiesKey FeaturesBuild IoT projects from scratch using ESP32Customize solutions, take them to cloud, visualize real-time data, implement security featuresPractice using a variety of hands-on projects such as an audio player, smart home, and moreBook DescriptionESP32, 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.