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

Introducing machine vision


A machine vision is a machine with camera capabilities and an understanding of what objects are. The machine uses its camera to sense physical objects around its environment. Machine vision or computer vision is a field where a machine acquires, analyzes, and understands a still image or video. This field involves knowledge such as image processing, pattern recognition, and machine learning.

The pattern recognition and machine learning fields helps us to teach our machine to understand images. For instance, when we show a still image with people inside a car to the machine, then the machine should identify which are the people. Furthermore, in some cases, the machine also should guess the person in an image. From a pattern recognition and machine learning view, we should register the person so the machine can know the person in the image after identifying the person in an existing image.

To build a machine vision, we use the general design that is shown in the following...