Dr. G. R. Kanagachidambaresan completed his Ph.D. at Anna University Chennai in 2017. He is currently an Associate Professor in the Department of CSE at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. His main research interests include Body Sensor Networks and Fault Tolerant Wireless Sensor Networks. He has published several articles and undertaken consultancy activities for leading MNC companies. He has also guest-edited special issue volumes and books and served as an editorial review board member for peer-reviewed journals. He is presently working on several government sponsored research projects like ISRO, DBT, and DST. Presently, he is the Editor in chief for the Next Generation Computer and Communication Engineering series.
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.