Book Image

Raspberry Pi Computer Vision Programming

By : Ashwin Pajankar
Book Image

Raspberry Pi Computer Vision Programming

By: Ashwin Pajankar

Overview of this book

<p>This book will provide you with the skills you need to successfully design and implement your own Raspberry Pi and Python-based computer vision projects.</p> <p>From the beginning, this book will cover how to set up your Raspberry Pi for computer vision applications, exploring the basics of OpenCV, and how to design and implement real-life computer vision applications on your own. By sequentially working through the steps in each chapter, you will quickly be able to master the features of OpenCV. In the end of the book, you will also be introduced to SimpleCV, which is another powerful computer vision library for Python. Featuring plenty of coding examples and exercises, this book offers you an unparalleled learning experience.</p>
Table of Contents (17 chapters)
Raspberry Pi Computer Vision Programming
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
5
Let's Make Some Noise
Index

About the Reviewers

James Allen is a computer scientist and a teacher whose experiences run the gamut from web and application programming to graphic design and sound engineering. If a form of media can be produced on a computer, there is a very good chance that he has dabbled in something along those lines.

He is very interested in the enabling factor of technology and how advancements in personal computers and handheld devices have opened up a wide variety of activities to a big chunk of the population. He is especially interested in opening up these activities further. Above all, he wants to be happy and bring happiness to others. You can read more about his (mis)adventures by visiting http://jamesmallen.net.

Arush Kakkar is a robotics enthusiast who has experience in computer vision, machine learning, and hardware technologies. His primary focus is on autonomous robotics, which includes drones and self-driving cars. He has contributed to the development of these systems in different capacities, including computer vision and path planning. He is the electronics engineer for the solar car team of his university, DTU Solaris. He is also interested in building commercial solutions in robotics to reduce the manual labor required in jobs. You can contact him through his website, www.arushkakkar.com, and read about some of his projects on http://blog.arushkakkar.com.

Luis A. Larco is a software engineer at GE Healthcare in Milwaukee, Wisconsin, as well as a research associate at the Medical Imaging Research Center (MIRC) at the Illinois Institute of Technology in Chicago, Illinois. Originally from Lima, Peru, Luis was raised in Miami, Florida, where he attended high school and college. He subsequently relocated to Illinois and studied at the Illinois Institute of Technology. He received bachelor’s degrees in electrical engineering and computer engineering. While studying for his undergraduate degree, he worked on a research project with the Chicago Police Department on predictive policing. In his free time, he enjoys performing with his jazz band, where he plays the bass, as well as hiking and mountain biking.

Aldo Vargas is a mechatronics engineer who graduated from UNAM in Mexico City. He has previously worked in the robotics industry. He is currently completing his PhD in aerospace engineering from the University of Glasgow, United Kingdom. He is developing GNC (guidance, navigation, and control) algorithms for unmanned aerial systems. The research aim is to give UAS the ability to "see" using advanced and practical computer vision algorithms programmed in Python. He has academic and industrial experience in control systems, embedded systems, artificial intelligence, machine learning, computer vision, robotics, and systems integration.

Aldo loves to design, build, and control drones at work and during his free time. He also enjoys scuba diving, skydiving, and riding motorcycles. If you're interested in knowing more about his work, you can visit http://aldux.net.