Book Image

Practical Internet of Things with JavaScript

By : Arvind Ravulavaru
Book Image

Practical Internet of Things with JavaScript

By: Arvind Ravulavaru

Overview of this book

In this world of technology upgrades, IoT is currently leading with its promise to make the world a more smarter and efficient place. This book will show you how to build simple IoT solutions that will help you to understand how this technology works. We would not only explore the IoT solution stack, but we will also see how to do it with the world’s most misunderstood programming language - JavaScript. Using Raspberry Pi 3 and JavaScript (ES5/ES6) as the base to build all the projects, you will begin with learning about the fundamentals of IoT and then build a standard framework for developing all the applications covered in this book. You will then move on to build a weather station with temperature, humidity and moisture sensors and further integrate Alexa with it. Further, you will build a smart wearable for understanding the concept of fall detection. You will then extend it with the 'If This Then That' (IFTTT) rules engine to send an email on fall detection. Finally, you will be working with the Raspberry Pi 3 camera module and surveillance with a bit of facial detection using Amazon Rekognition platform. At the end of the book, you will not only be able to build standalone exciting IoT applications but also learn how you can extend your projects to another level.
Table of Contents (17 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface

Summary


In Chapter 2, IoTFW.js - I and in this chapter, we went through the entire process of setting up an entire frame to work with the Internet of Things solutions. We built the entire framework using only JavaScript as our programming language.

We started with understanding the architecture and data flow from Raspberry Pi to an end user device, such as a web app, desktop app, or a mobile app. Then we started working on the broker using Mosca, after setting up MongoDB. Next we designed and developed the API engine and completed the basic Raspberry Pi setup.

We worked on the web app and desktop app and integrated a simple LED and a DHT11 temperature and humidity sensor with the Raspberry Pi, and saw a simple flow from one end to another. We streamed the temperature and humidity in real time to the web app and desktop app, and using the toggle button, we turned on the LED.

And finally, we built a mobile app and implemented/validated the LED and DHT11 setup.

In the Chapter 4, Smart Agriculture...