Intel Edison Projects

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  • Program your device using the Arduino processor language, Python, and Node.js
  • Interface different sensors with the Intel Edison
  • Build a home automation system using MQTT, Android, and WPF
  • Perform face detection using Intel Edison
  • Develop a high-speed line follower robot
  • Control a robot using a PC application and an custom controller

Change the way you look at embedded electronics with Intel Edison. It is a small computing platform packed with a set of robust features to deliver hands-on performance, durability, and software support.

This book is a perfect place to kickstart development and rapid prototyping using Intel Edison. It will start by introducing readers to the Intel Edison board and explaining how to get started with it. You will learn how to build a mini weather station, which will help you to acquire temperature and smoke level and push it to the IoT platform. Then you will see how to build a home automation device and control your appliances using an Android app. Furthermore, we will build a security system using a webcam to detect faces and perform voice recognition. Toward the end, the book will demonstrate how you can build two robots, which will be based on different line sensing sensors and can be controlled by a PC.

The book will guide the readers through each and every step of execution of a project, using Intel Edison.

  • Learn to build advanced level robots with Intel Edison and Arduino
  • Efficiently build and program home automation and IoT projects with Intel Edison
  • Master the skills of creating enticing projects with Intel Edison.
Page Count 264
Course Length 7 hours 55 minutes
ISBN 9781787288409
Date Of Publication 29 May 2017


Avirup Basu

Avirup Basu is an independent developer based in Siliguri, West Bengal, India. His main areas of interest include IoT, robotics, and artificial intelligence. He holds a BTech degree in electronics and communication engineering from Siliguri Institute of Technology. He has been actively involved in projects involving robotics and IoT since his college days. He was a Microsoft student partner for four years from 2012-2016. In 2016, he was selected as an Intel Software Innovator. He has three research paper publications on computer vision and robotics, of which one is of IEEE on autonomous navigation and 2D mapping using SONAR. He holds seminars and workshops and has been training students and professionals in multiple areas, but mainly in IoT and robotics.
He has recently started uploading YouTube videos, where he focusses on topics related to IoT, robotics, application development, AI, and other fields of interest. He can be contacted by e-mail at

I would like to express my gratitude to my beloved parents and my friends--without their constant support and motivation this would not have been possible. I would also like to thank my faculties at Siliguri Institute of Technology and colleagues at Altimetrik, whose motivation helped me a lot with this book.

Thanks to the Packt team, mainly Kinjal Bari, Prachi Bisht, Mamata Walker, and Sayali Thanekar, who have guided me through this book and helped me to be right on schedule, as well as the others attached to this book, and thanks to my technical reviewer, Abhishek Nandy, without whom this would not have been possible.