Book Image

Smart Internet of Things Projects

By : Agus Kurniawan
Book Image

Smart Internet of Things Projects

By: Agus Kurniawan

Overview of this book

Internet of Things (IoT) is a groundbreaking technology that involves connecting numerous physical devices to the Internet and controlling them. Creating basic IoT projects is common, but imagine building smart IoT projects that can extract data from physical devices, thereby making decisions by themselves. Our book overcomes the challenge of analyzing data from physical devices and accomplishes all that your imagination can dream up by teaching you how to build smart IoT projects. Basic statistics and various applied algorithms in data science and machine learning are introduced to accelerate your knowledge of how to integrate a decision system into a physical device. This book contains IoT projects such as building a smart temperature controller, creating your own vision machine project, building an autonomous mobile robot car, controlling IoT projects through voice commands, building IoT applications utilizing cloud technology and data science, and many more. We will also leverage a small yet powerful IoT chip, Raspberry Pi with Arduino, in order to integrate a smart decision-making system in the IoT projects.
Table of Contents (13 chapters)
Smart Internet of Things Projects
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Chapter 6. Building Data Science-based Cloud for IoT Projects

In this chapter, we will explore how to apply cloud platforms on IoT projects. Backend infrastructure for our IoT projects is important. By distributing IoT boards on some location with different countries needs more attention in acquiring sensor data. Cloud-based platforms including data science services are key to scaling your IoT projects.

We will explore the following topics:

  • Introducing cloud technology

  • Introducing cloud-based data science

  • Connecting an IoT board to cloud-based servers

  • Building a data science-based cloud

  • Making an IoT application with a data science-based cloud