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

System overview


Before getting started, let's try to draw the application scheme and define the potential steps. We want to build a vision-enabled robot which can be controlled via a camera attached to the ceiling and, when we click on any point in the camera view, we want our robot to go to this specific point.

This operation requires a mobile robot that can communicate with the vision system. The vision system should be able to detect or recognize the robot and calculate the position and orientation of the robot. The vision system should also give us the opportunity to click on any point in the view and it should calculate the path and the robot movements to get to the destination. This scheme requires a communication line between the robot and the vision controller. In the following illustration, you can see the physical scheme of the application setup on the left hand side and the user application window on the right hand side:

After interpreting the application scheme, the next step is...