You're reading from Raspberry Pi 3 Home Automation Projects

Product type Book

Published in Nov 2017

Publisher Packt

ISBN-13 9781783283873

Pages 226 pages

Edition 1st Edition

Languages

JavaScript

Concepts

Home Automation

Authors (2):

Shantanu Bhadoria

Ruben Oliva Ramos

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Table of Contents (7) Chapters

Preface

1. Creating a Raspberry Pi-Powered Magic Mirror

2. Automated Gardening System

3. Integrating CheerLights into a Holiday Display

4. Erase Parking Headaches with OpenCV and Raspberry Pi

5. Building Netflix's The Switch for the Living Room

6. Lock Down with a Windows IoT Face Recognition Door System

Integrating the system

To integrate the system, we will have a schema to see how the system could be implemented using the information and requirements seen in the previous section. In the following figure, we see the modules or steps that we need to follow to build the complete system of the parking lot:

The camera detects the plate number using the library software OpenCV and Python.
The Raspberry Pi is connected to Amazon Web Services and we configure the Python SDK for receiving commands; it is connected to the IoT Lambda services that receives the commands.
From a Python script, the AWS IoT service receives the data captured from the camera and is stored in AWS DynamoDB, which is a database service. It stores the ID of the car and the plate number of the vehicle.
The data captured from the vehicle is stored in the web service; it will count the number of cars that go in...

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Authors (2)

Shantanu Bhadoria

Shantanu Bhadoria is an avid traveler and the author of several popular open source projects in Perl, Python, Golang, and Node.js, including many IoT projects. When in Singapore, he works on paging and building control systems for skyscrapers and large campuses in Singapore, Hong Kong, and Macau. He has authored and contributed to public projects dealing with control over gyroscopes, accelerometers, magnetometers, altimeters, PWM generators, and other sensors and controllers, as well as sensor fusion algorithms such as Kalman filters. Shantanu's work in IoT and other fields can be accessed on his GitHub account with the name shantanubhadoria. He is also the author of Device::SMBus, a popular Perl library used to control devices over the I2C bus.

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Ruben Oliva Ramos

Ruben Oliva Ramos is a computer systems engineer from Tecnologico de Leon Institute, with a master's degree in computer and electronic systems engineering and a specialization in teleinformatics and networking from the University of Salle Bajio in Leon, Guanajuato, Mexico. He has more than 5 years of experience of developing web applications to control and monitor devices connected with Arduino and Raspberry Pi, using web frameworks and cloud services to build the Internet of Things applications. He is a mechatronics teacher at the University of Salle Bajio and teaches students of the master's degree in design and engineering of mechatronics systems. Ruben also works at Centro de Bachillerato Tecnologico Industrial 225 teaching subjects such as electronics, robotics and control, automation, and microcontrollers. He is a consultant and developer for projects in areas such as monitoring systems and datalogger data using technologies (such as Android, iOS, HTML5, and ASP.NET), databases (such as SQlite, MongoDB, and MySQL), web servers, hardware programming, and control and monitor systems for data acquisition and programming.

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