About this book
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.
- 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
- DOI https://doi.org/10.1007/978-1-4842-5299-4
- Copyright Information Guillermo Guillen 2019
- Publisher Name Apress, Berkeley, CA
- eBook Packages Professional and Applied Computing
- Print ISBN 978-1-4842-5298-7
- Online ISBN 978-1-4842-5299-4
- Buy this book on publisher's site