Book Image

Internet of Things with Raspberry Pi 3

By : Maneesh Rao
Book Image

Internet of Things with Raspberry Pi 3

By: Maneesh Rao

Overview of this book

This book is designed to introduce you to IoT and Raspberry Pi 3. It will help you create interesting projects, such as setting up a weather station and measuring temperature and humidity using sensors; it will also show you how to send sensor data to cloud for visualization in real-time. Then we shift our focus to leveraging IoT for accomplishing complex tasks, such as facial recognition using the Raspberry Pi camera module, AWS Rekognition, and the AWS S3 service. Furthermore, you will master security aspects by building a security surveillance system to protect your premises from intruders using Raspberry Pi, a camera, motion sensors, and AWS Cloud. We'll also create a real-world project by building a Wi-Fi – controlled robot car with Raspberry Pi using a motor driver circuit, DC motor, and a web application. This book is a must-have as it provides a practical overview of IoT’s existing architectures, communication protocols, and security threats at the software and hardware levels—security being the most important aspect of IoT.
Table of Contents (11 chapters)

The code

Let's write the code to bring the building access management System to life using AWS S3 and Rekognition.

The setup requires Node.js to be installed on Raspberry Pi, which we have already done quite a few times in the previous chapter. So, we'll not repeat that here and straight away start writing the code.

Index face module code

This code will extract the feature information of faces stored in the S3 bucket and store them in the piCollection that we created earlier using the AWS CLI tool.

Create a file with the name indexFaces.js and include the npm modules aws-sdk and fs in it. Make sure these modules are installed or run npm install command in the terminal to do the installation, as shown in Figure 7...