Internet of Things Using Single Board Computers

Rapidly prototype and program new IoT and Edge solutions using low-cost Maker tech, such as those from Arduino, Raspberry Pi and Nvidia. With a focus on the electronics, this book allows experienced computer science students as well as researchers, practitioners, and even hobbyists to dive right into actual engineering of prototypes and not just theoretical programming and algorithms. 
You'll learn to interface sensors, work with various communication mediums, incorporate wired and wireless communication protocols, and more with these single board computers. All while working in the popular Python programming language. Additionally, you’ll discover both scripting-based and drag and drop solutions for different problems. As well as a variety of useful, data gathering approaches.  Then you can apply what you’ve learned to IoT projects and troubleshooting Industry 4.0 problems. 
The rapid growth of technology and new development initiatives has made the Internet of Things and Edge analytics an inevitable platform in all engineering domains. The need for sophisticated and ambient environments controlled by tech has resulted in an exponential growth of automation and artificial intelligence. Internet of Things Using Single Board Computers reflects these recent developments while providing a low-cost, easy ramp into the fields of IoT using single board computers and Python programming. 

What You'll Learn

• Program Arduino, Raspberry Pi, and Nvidia boards for rapid prototyping in IoT and Edge environments
  
• Interface sensors, communication mediums, and wired and wireless communications into your programs and projects.
  
• Study practical applications of these low-cost solutions in fields such as home automation, smart cities, electrical vehicle charging, and more.
  

Who This Book is For

Engineers and hobbyists working on Internet of Things prototypes and applications.  Basic skills in electronics and a working knowledge of Python are recommended. Engineers and scientists working on smart environment projects and smart city applications will also benefit.