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

Setting up smart surveillance


Now that we have an understanding of what we are going to do, we will get started with the setup of Raspberry Pi.

We are going to set up the camera and a motion detector, as we did in Chapter 8, Raspberry Pi Image Streaming. Next, we will be adding the logic required to capture an image upon the detection of motion and then send it for processing.

Before we do that, we need to seed the Rekognition collection with authorized faces.

This script can be an API as part of the API engine, and using the web dashboard we can upload and seed the images. But to keep things simple, we are going to run this standalone script from a machine.

Setting up AWS credentials

Before we get started with development, we need to set up our local machine with the AWS CLI and AWS credentials.

First, we need to install the AWS CLI. Head over to https://aws.amazon.com/cli and follow the instructions on the page. To test the installation from the command prompt, run:

aws --version

You should see...