Sensor Projects with Raspberry Pi: Internet of Things and Digital Image Processing

by Guillermo Guillen

Overview

Start solving world issues by beginning small with simple Rasperry Pi projects. Using a free IoT server; tackle fundamental topics and concepts behind the Internet of Things. Image processing and sensor topics aren’t only applicable to the Raspberry Pi. The skills learned in this book can go own to other applications in mobile development and electrical engineering.

Start by creating a system to detect movement through the use of a PIR motion sensor and a Raspberry Pi board. Then further your sensor systems by detecting more than simple motion. Use the MQ2 gas sensor and a Raspberry Pi board as a gas leak alarm system to detect dangerous explosive and fire hazards. Train your system to send the captured data to the remote server ThingSpeak. When a gas increase is detected beyond a limit, then a message is sent to your Twitter account.

Having started with ThingSpeak, we’ll go on to develop a weather station with your Raspberry Pi. Using the DHT11 (humidity and temperature sensor) and BMP085 (barometric pressure and temperature sensor) in conjunction with ThingSpeak and Twitter, you can receive realtime weather alerts from your own meterological system!

Finally, expand your skills into the popular machine learning world of digital image processing using OpenCV and a Pi. Make your own object classifiers and finally manipulate an object by means of an image in movement. This skillset has many applications, ranging from recognizing people or objects, to creating your own video surveillance system.

With the skills developed in this book, you will have everything you need to work in IoT projects for the Pi. You can then expand your skills out further to develop mobile projects and delve into interactive systems such as those found in machine learning.

What You'll Learn

• Work with ThingSpeak to receive Twitter alerts from your systems

• Cultivate skills in processing sensor inputs that are applicable to mobile and machine learning projects as well

• Incorporate sensors into projects to make devices that interact with more than just code

Who This Book Is For
Hobbyists and makers working robotics and Internet of Things areas will find this book a great resource for quick but expandable projects. Electronics engineers and programmers who would like to expand their familiarity with basic sensor projects will also find this book helpful.

Product Details

ISBN-13:	9781484252987
Publisher:	Apress
Publication date:	12/19/2019
Edition description:	1st ed.
Pages:	157
Product dimensions:	6.00(w) x 9.20(h) x 0.50(d)

About the Author

Guillermo Guillen is an Electronics and Communications Engineer, and Military Engineer. He has worked on CITIZEN and Government projects. Guillermo is the winner of “Make with Ada 2018-19” and several other contests. In addition to this book, he has written over 40 articles about the research, design, development and testing of the electronic equipment used in various systems. He currently works as a micro entrepreneur. You can find more information at www.guillengap.com.

Table of Contents

Chapter 1. Theoretical fundamentals

Goals: Learn the basics of what you'll need to understand for all the projects.

• Subheader 1. Programming with the Raspberry Pi.

• Subheader 2. Internet of Things

• Subheader 3. Digital Image Processing.

Chapter 2. Alarm System

Goal: Develop an alarm system to detect the movement of someone through the use of a PIR motion sensor and your Raspberry Pi Zero W board. When this happens, an alert notice will appear on your Twitter account.

• Subheader 1. Introduction

• Subheader 2. Hardware

• Subheader 3. Software

• Subheader 4. Procedure for Creating the Application with ThingSpeak

• Subheader 5. Tests

• Subheader 6. Download code

Chapter 3. Gas Leak Alarm

Goal: Develop a system for the detection of fires or gas leaks with the Raspberry Pi Zero W board and the MQ2 gas sensor. This system can send the captured data to the remote server of ThingSpeak. When a gas increase is detected beyond a limit, then a message is sent to your Twitter account.

• Subheader 1. Introduction

• Subheader 2. Hardware

• Subheader 3. Software

• Subheader 4. Procedure for Creating the Application with ThingSpeak

• Subheader 5. Tests

• Subheader 6. Download code

Chapter 4. Weather Station

Goal: Develop a Weather Station with a Raspberry Pi Zero W board, and monitor all the sensors with ThingSpeak and Twitter. The sensors used are DHT11 (humidity and temperature sensor) and BMP085 (barometric pressure and temperature sensor).

• Subheader 1. Introduction

• Subheader 2. Hardware

• Subheader 3. Software

• Subheader 4. Procedure for Creating the Application with ThingSpeak

• Subheader 5. Tests

• Subheader 6. Download code

Chapter 5. Digital Image Processing with Python and OpenCV

Goal: Make use of digital image processing with OpenCV on a Raspberry Pi 3. To achieve this goal, start from the installation to make your own object classifiers and finally make an example to manipulate an object by means of an image in movement. This has many applications, ranging from recognizing people or objects, to creating your own video surveillance system.

• Subheader 1. Introduction

• Subheader 2. Installation

• Subheader 3. Classifiers

• Subheader 4. Test with Images

• Subheader 5. Test with Videos

• Subheader 6. Moving a Robot Arm

Appendix: Hardware Specifications