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>

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Arduino Computer Vision Programming
Özen Özkaya | Giray Yıllıkçı
Aug, 2015 | 222 pages
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Table of Contents (16 chapters)
Arduino Computer Vision Programming
Arduino Computer Vision Programming
Credits
Credits
About the Authors
About the Authors
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
General Overview of Computer Vision Systems
General Overview of Computer Vision Systems
Introducing computer vision systems
Approaching computer vision problems
Summary
2
Fundamentals and Installation of OpenCV
Fundamentals and Installation of OpenCV
Fundamentals of OpenCV
The installation of OpenCV
Summary
3
Data Acquisition with OpenCV and Arduino
Data Acquisition with OpenCV and Arduino
Image and video acquisition
Sensor data acquisition
4
Filtering Data with OpenCV
Filtering Data with OpenCV
Getting started with filtering
Spatial domain filtering
Color conversions
Morphological filters
Gradients and edge detection
Custom filtering
Histogram equalization
Chapter project
Summary
5
Processing Vision Data with OpenCV
Processing Vision Data with OpenCV
Extracting features
Summary
6
Recognition with OpenCV
Recognition with OpenCV
Building applications which can think
Summary
7
Communicating with Arduino Using OpenCV
Communicating with Arduino Using OpenCV
Communicating with Arduino
Communicating with Java
Communicating with C++
Summary
8
Acting in the Real World with Arduino
Acting in the Real World with Arduino
Interfacing electric motors
Using display screens
Summary
9
Building a "Click-to-Go" Robot
Building a "Click-to-Go" Robot
System overview
Building a robot
Building the vision application
Summary
Index
Index

About the Authors

Özen Özkaya is an embedded systems engineer who has been involved in the design, development, and verification of various applications of computer vision and embedded systems for more than 6 years. He strongly believes in the power of sharing knowledge and continuously extending the computer vision.

After earning 6 years of experience in the profession, he is now working for Siemens as a senior development engineer, where he is involved in the research and development of industrial control devices and industrial communication processors. He also contributes to software quality assurance projects in Siemens. He has a total of eight patent applications up to now, and all of his applications are still in progress. He completed a bachelor's program in electronics engineering from İstanbul Technical University (ITU) in 3 years with high honor certificates. He holds a master's degree in electronics engineering from ITU and is currently pursuing a PhD in electronics engineering there. During his academic studies, he worked in various laboratories, such as the medical system design lab, control and avionics lab, robotics lab, pattern recognition and signal processing lab, industrial automation lab, and finally, the embedded systems lab.

In addition to his academic studies, he is now a mentor in the embedded systems laboratory at ITU.

Özen can be reached directly via e-mail at or . If you want to learn more about him, visit his website at http://www.ozenozkaya.com.

First of all, I would like to thank my parents, Kıyas and Ferah, for their endless effort and perseverance in bringing me up to this level.

My academic advisor, Assoc. Prof. Dr. S. Berna Örs Yalcin, always supported me and helped me achieve many things, so I would like to thank her. I would also like to thank all my friends; the list is too long to mention here.

Above all, a huge special thanks to Nilay Tüfek, who supported me a lot in the writing of this book. She also sincerely encouraged me to accept this challenge and overcome it.

Giray Yıllıkçı is focuses on embedded systems, computer vision, and robotics. He has been contributing to these areas in both the industrial and academic fields. He enjoys sharing his knowledge and experiences of the field with juniors. He believes that sharing information is the true way of proceeding in life.

Giray is currently working as a senior research engineer at Design Lab, Koç University, where he is coordinating the technical process of projects. He is responsible for designing industrial-level proof of concepts for studies at Design Lab. In addition, he manages technical research engineers. His six patent applications are in progress.

He has a bachelor's degree in physics from Koç University. Now, he is currently working on his MS thesis for a graduation program in satellite communication and remote sensing at Istanbul Technical University.

More about him can be found at his website http://www.girayyillikci.com. He can be contacted via or .

First, I would like to express my gratitude to Özen Özkaya for enabling me to be a part of this book.

I would like to thank the Packt crew who provided support, and offered comments and assistance. At this point, I would like to thank Seyed Mousavi for his valuable reviews and Shweta Pant for successful content development management.

Thank you to Cetin Seren for his guidance in my career. His wise advice and fruitful discussions have led me to achieve the best in my field.

I would like to thank Süreyya Ciliv for providing us with an intellectual and inspiring work environment at Turkcell Technology Applied Research Center, where we received a lot of inspiring know-how.

Thanks to Tugce Pakakar and her friends for helping me enjoy the process of writing this book.

Above all, I am thankful to my mother, father, and brother, who supported, encouraged, and inspired me throughout my life. I would like to express my most sincere gratitude to them with these lines.

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