Book Image

Arduino Computer Vision Programming

By : Özen Özkaya, Giray Yıllıkçı
Book Image

Arduino Computer Vision Programming

By: Özen Özkaya, Giray Yıllıkçı

Overview of this book

<p>Most technologies are developed with an inspiration of human capabilities. Most of the time, the hardest to implement capability is vision. Development of highly capable computer vision applications in an easy way requires a generic approach. In this approach, Arduino is a perfect tool for interaction with the real world. Moreover, the combination of OpenCV and Arduino boosts the level and quality of practical computer vision applications.</p> <p>Computer vision is the next level of sensing the environment. The purpose of this book is to teach you how to develop Arduino-supported computer vision systems that can interact with real life by seeing it.</p> <p>This book will combine the powers of Arduino and computer vision in a generalized, well-defined, and applicable way. The practices and approaches in the book can be used for any related problems and on any platforms. At the end of the book, you should be able to solve any types of real life vision problems with all its components by using the presented approach. Each component will extend your vision with the best practices on the topic.</p> <p>In each chapter, you will find interesting real life practical application examples about the topics in the chapter. To make it grounded, we will build a vision-enabled robot step by step towards the end of the book. You will observe that, even though the contexts of the problems are very different, the approaches to solve them are the same and very easy!</p> <p>&nbsp;</p>
Table of Contents (16 chapters)
Arduino Computer Vision Programming
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
5
Processing Vision Data with OpenCV
Index

Chapter 2. Fundamentals and Installation of OpenCV

Open Source Computer Vision (OpenCV), is a computer vision library that is used by academics, commercial companies, embedded electronic enthusiast communities and hobbyists all around the world. OpenCV has C++, C, Python, and Java interfaces and supports Windows, Linux, Mac OS, Android, and iOS. It is designed for computational efficiency and ease of use with a focus on real-time applications. Algorithms are optimized and suitable to run on different hardware platforms, even on multiple cores! Indeed, one advantage is that OpenCV has a user community base of around 50,000 people. Its range of use is broad, from object recognition to motion detection, and probably the best part is that it is really popular among the robotics community. Let's dive in to this computer vision realm by introducing OpenCV modules.