Sensor Projects with Raspberry Pi: Internet of Things and Digital Image Processing
Autor Guillermo Guillenen Limba Engleză Paperback – 19 dec 2019
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 areapplicable 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.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (2) | 200.40 lei 3-5 săpt. | |
| Apress – 19 dec 2019 | 200.40 lei 3-5 săpt. | |
| Apress – 5 oct 2024 | 246.25 lei 3-5 săpt. |
Preț: 200.40 lei
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Specificații
ISBN-13: 9781484252987
ISBN-10: 1484252985
Pagini: 125
Ilustrații: XVIII, 157 p. 104 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
ISBN-10: 1484252985
Pagini: 125
Ilustrații: XVIII, 157 p. 104 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
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Cuprins
Notă biografică
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.
Caracteristici
Solve problems related to digital image processing and IoT systems Detect objects, faces, smiles, and environmental changes with simple, lowcost hardware Tweet out alerts based on the information received by your systems automatically
Textul de pe ultima copertă
Use Python to develop Rasperry Pi projects to solve common digital image processing and IoT problems. Using a free IoT server you’ll tackle fundamental topics and concepts behind theses two areas. This second edition includes new content on Artificial Intelligence and updated sensor guidance to help you better explore virtual animations, create a homemade spectrometer, and master object classification with Edge Impulse.
Start by creating a system to detect movement with a PIR motion sensor and a Raspberry Pi board. Use the MQ2 gas sensor and a Raspberry Pi board as a gas leak alarm system to detect dangerous explosive and fire hazards. Then train your system to send the captured data to the remote server ThingSpeak. You’ll also develop a weather station with your Raspberry Pi. Using the DHT11 (humidity and temperature sensor) and BMP (barometric pressure and temperature sensor) in conjunction with ThingSpeak and X, you can receive real time weather alerts from your own meterological system!
Spectral sensers used with the Raspberry Pi include the AS7262 (six colors), and AS7263 (near infrared) for the construction of a filter spectrometer, sensing colored solutions, and assessing plant foliage health. 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 gained from Sensor Projects with Raspberry Pi, you'll be well-equipped to explore other applications in mobile development and electrical engineering as well.
Start by creating a system to detect movement with a PIR motion sensor and a Raspberry Pi board. Use the MQ2 gas sensor and a Raspberry Pi board as a gas leak alarm system to detect dangerous explosive and fire hazards. Then train your system to send the captured data to the remote server ThingSpeak. You’ll also develop a weather station with your Raspberry Pi. Using the DHT11 (humidity and temperature sensor) and BMP (barometric pressure and temperature sensor) in conjunction with ThingSpeak and X, you can receive real time weather alerts from your own meterological system!
Spectral sensers used with the Raspberry Pi include the AS7262 (six colors), and AS7263 (near infrared) for the construction of a filter spectrometer, sensing colored solutions, and assessing plant foliage health. 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 gained from Sensor Projects with Raspberry Pi, you'll be well-equipped to explore other applications in mobile development and electrical engineering as well.