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 the OpenCV library


The OpenCV (Open Computer Vision) library is an open source library that is designed for computational efficiency and with a strong focus on real-time applications. This library is written in C/C++ and also provides several bindings for other programming languages. The official website for OpenCV is http://www.opencv.org.

The OpenCV library provides a complete library starting from basic computation and image processing to pattern recognition and machine learning. I notice several research papers use this library for simulation and experiments, so this library is a good point for starting our project in machine vision/computer vision.

Currently, the OpenCV library is available for Windows, Linux, Mac, Android and iOS. You can download this library at http://opencv.org/downloads.html. I'll show you how to deploy OpenCV on Raspberry Pi with Raspbian OS.