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Practical Internet of Things with JavaScript

You're reading from Practical Internet of Things with JavaScript Build standalone exciting IoT projects with Raspberry Pi 3 and JavaScript (ES5/ES6)

Product type Paperback

Published in Dec 2017

Publisher Packt

ISBN-13 9781788292948

Length 296 pages

Edition 1st Edition

Languages

JavaScript

Tools

Raspberry Pi

Concepts

IoT Development

Author (1):

Arvind Ravulavaru

View More author details

Table of Contents (17) Chapters

Title Page

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Dedication

Preface

1. The World of IoT FREE CHAPTER

2. IoTFW.js - I

3. IoTFW.js - II

4. Smart Agriculture

5. Smart Agriculture and Voice AI

6. Smart Wearable

7. Smart Wearable and IFTTT

8. Raspberry Pi Image Streaming

9. Smart Surveillance

Chapter 9. Smart Surveillance

In Chapter 8, Raspberry Pi Image Streaming, we learned how to connect a Raspberry Pi camera module to Raspberry Pi 3, grab a picture or video, and then upload/stream it in real time. In this chapter, we are going to take this logic to the next level. We are going to take a picture when there is an intrusion detected, and then send that image to the Amazon Rekognition platform and compare the image against a set of images.

In this chapter, we are going to cover the following points:

Understanding AWS Rekognition
Seeding an AWS Rekognition collection with authorized faces
Taking pictures from Raspberry Pi 3 upon intrusion and comparing them with the seed faces

The rest of the chapter is locked

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Authors (1)

Arvind Ravulavaru

Arvind Ravulavaru

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.

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