Sensor Projects with Raspberry Pi: Internet of Things and Digital Image Processing
Guillermo Guillen
Résumé
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
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 StationGoal: 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 ArmAppendix: Hardware Specifications
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Apress |
| Auteur(s) | Guillermo Guillen |
| Parution | 26/12/2019 |
| Nb. de pages | 157 |
| EAN13 | 9781484252987 |
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