You're reading from Internet of Things from Scratch Build IoT solutions for Industry 4.0 with ESP32, Raspberry Pi, and AWS

Product type Paperback

Published in Feb 2024

Publisher Packt

ISBN-13 9781837638543

Length 438 pages

Edition 1st Edition

Languages

Scratch

Tools

AWS

Concepts

IoT Development

Author (1):

Renaldi Gondosubroto

View More author details

Table of Contents (22) Chapters

Preface

1. Part 1: Getting Started with the Internet of Things

2. Chapter 1: An Introduction to IoT Architecture, Hardware, and Real-Life Applications FREE CHAPTER

3. Chapter 2: Understanding and Designing IoT Networks

4. Chapter 3: Integrating Application Protocols

5. Chapter 4: Examining Communication and Connectivity Technologies

6. Part 2: Developing and Optimizing IoT Systems for Smart Environments

7. Chapter 5: Realizing Wireless Sensor Networks within Smart Spaces

8. Chapter 6: Creating Applications on the Edge

9. Chapter 7: Working with Cloud Computing to Power IoT Solutions

10. Chapter 8: Designing for Interoperability

11. Part 3: Operating, Maintaining, and Securing IoT Networks

12. Chapter 9: Operating and Monitoring IoT Networks

13. Chapter 10: Working with Data and Analytics

14. Chapter 11: Examining Security and Privacy in IoT

15. Chapter 12: Exploring and Innovating with Open Source IoT

16. Part 4: Delving into Complex Systems and the Future of IoT

17. Chapter 13: Developing IoT Solutions for Digital Transformation within Industry 4.0

18. Chapter 14: Architecting Complex, Holistic IoT Environments

19. Chapter 15: Looking Ahead into the Future of IoT

20. Index

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Technical requirements

This chapter will require you to have the following hardware and software installed:

Hardware:
- ESP32 microcontroller
- DHT11 temperature and humidity sensor
- Keyestudio Arduino Super Starter Kit
- Ultrasonic distance sensor (HC-SR04)
- Servo motor (SG90)
- Red, yellow, and green LEDs
- 220-ohm resistors
- Breadboard
- Jumper wires
Software:
- Arduino IDE
- TensorFlow
- TensorFlow Lite

TensorFlow

TensorFlow is an open source software (OSS) library and platform for machine learning (ML) and deep learning (DL) that was developed by the Google Brain team. It is very popularly used within industry, academia, and research due to its performance, flexibility, and scalability. It allows developers to design and build ML models that are both on cloud-based platforms and edge devices. This includes a wide variety of features such as model training and deployment, data visualization, and distributed computing.

In this chapter, we will be using TensorFlow as a service to run an...