Practical internet of things with JavaScript : build standalone exciting IoT projects with Raspberry Pi 3 and JavaScript (ES5/ES6) / Arvind Ravulavaru.

Format:

Book

Author/Creator:

Ravulavaru, Arvind, author.

Language:

English

Subjects (All):

Raspberry Pi (Computer)--Programming.

Raspberry Pi (Computer).

Physical Description:

1 online resource (1 volume) : illustrations

Edition:

1st edition

Place of Publication:

Birmingham, England : Packt Publishing, 2017.

System Details:

text file

Biography/History:

Ravulavaru Arvind: Arvind Ravulavaru is a platform architect at Ubiconn IoT Solutions, with over 9 years of experience in software development and 2 years in hardware & product development. For the last 5 years, he has been working extensively on JavaScript, both on the server side and the client side. And for the last couple of years in IoT, building a platform for rapidly developing IoT solutions, named The IoT Suitcase. Prior to that, Arvind worked on big data, cloud computing, and orchestration.

Summary:

End to end solutions for IoT enthusiasts and web developers About This Book Leverage the capability of IoT with the combination of Raspberry Pi 3 and JavaScript (ES5/ES6) Develop a health monitoring device along with some cool projects like Smart Agriculture & Raspberry Pi 3 based surveillance. A practical book which will help you build Mobile/Web/Desktop apps that will show how to manage and monitor data from sensors and actuators in real time. Who This Book Is For This book targets IoT enthusiasts and web developers who would like to build IoT-based applications with Raspberry Pi, Arduino and JavaScript. Some knowledge about electronics and familiarity with programming concepts (JavaScript - ES5/ES6) is expected. What You Will Learn Integrate sensors and actuators with the cloud and control them for your Smart Weather Station. Develop your very own Amazon Alexa integrating with your IoT solution Define custom rules and execute jobs on certain data events using IFTTT Build a simple surveillance solutions using Amazon Recognition & Raspberry Pi 3 Design a fall detection system and build a notification system for it. Use Amazon Rekognition for face detection and face recognition in your Surveillance project In Detail 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...

Contents:

Cover

Copyright

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Dedication

Table of Contents

Preface

Chapter 1: The World of IoT

The world of IoT

What is IoT?

A bit of history

IoT use cases

Technology overview

Product engineering

Summary

Chapter 2: IoTFW.js - I

Designing a reference architecture

Architecture

Smart device

Gateway

MQTTS broker

API engine

MongoDB

Web app

Mobile app

Desktop app

Data flow

Smart device to the apps

App to the smart device

Building the reference architecture

Installing Node.js on the server

Installing nodemon

Local installation

Using mLab

MQTTS broker - Mosca

API engine - Node.js and Express

Authorization

MQTT client

API engine testing

Communication between broker and API engine

Raspberry Pi software

Setting up Raspberry Pi

Raspberry Pi MQTTS client

Communication between the broker and the Raspberry Pi

Troubleshooting

Communication between the Raspberry Pi, the broker and the API engine

Setting up the app

Project structure

App module

Web app services

Web app components

Launching the app

Chapter 3: IoTFW.js - II

Updating the API engine

Integrating web app and API engine

Testing an end-to-end flow using DHT11 and LED

Setting up and updating the Raspberry Pi

Updating the web app

Building the desktop app and implementing an end-to-end flow

Building the mobile app and implementing an end-to-end flow

Chapter 4: Smart Agriculture

Agriculture and IoT

Designing a smart weather station

Setting up Raspberry Pi 3

Raspberry Pi and MCP3208

Moisture sensor and MCP3208

Raspberry Pi and DHT11.

Setting up the API engine

Setting up the web app

Setting up the desktop app

Setting up the mobile app

Chapter 5: Smart Agriculture and Voice AI

Voice AI

Test drive

Building a smart socket

Setting up relay with Raspberry Pi

Managing relay in an API engine

Updating the web app template

Updating the desktop app

Updating the mobile app template

Developing Alexa skill

Creating skill

Training the voice model

ngrok the API engine

Defining the lambda function

Deploying and testing

Chapter 6: Smart Wearable

IoT and healthcare

Smart wearable

Setting up smart wearable

Updating a desktop app

Chapter 7: Smart Wearable and IFTTT

IFTTT and IoT

Fall detection

Updating Raspberry Pi

Building the IFTTT rules engine

Updating the mobile app

Chapter 8: Raspberry Pi Image Streaming

MJPEG

Setting up the camera

Testing the camera

Developing the logic

Motion-based video capture

Updating the Raspberry Pi

Testing the code

Chapter 9: Smart Surveillance

AWS Rekognition

Setting up smart surveillance

Setting up AWS credentials

Seeding the authorized faces

Testing the seed

Deploying to Raspberry Pi

Index.

Notes:

Includes index.

Description based on online resource; title from PDF title page (EBC, viewed February 6, 2018).

ISBN:

9781788292948

1788292944

9781788295598

1788295595

OCLC:

1021185660