Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

167 Pages·2020·22.538 MB·English

by  Shrirang Ambaji Kulkarni, Varadrah P. Gurupur, Steven L. Fernandes

Introduction to IoT with
Machine Learning and
Image Processing using
Raspberry Pi

Introduction to IoT with
Machine Learning and
Image Processing using
Raspberry Pi
Shrirang Ambaji Kulkarni
Varadraj P. Gurupur
Steven L. Fernandes
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Contents
Authors, vii
CHAPTER 1 ■ Introduction 1
CHAPTER 2 ■ Raspberry Pi Unraveled 7
CHAPTER 3 ■ Python and Its Libraries for Machine Learning 19
CHAPTER 4 ■ Machine Learning 81
CHAPTER 5 ■ Introduction to Image Processing 125
BIBLIOGRAPHY, 151
INDEX, 153
v

Authors
Dr. Shrirang Ambaji Kulkarni is a prolific learner, author, and faculty
member with18-plusyears ofexperienceinthe fieldofComputer Science
and Engineering. He is currently working as an Associate Professor at
the National Institute of Engineering in the Department of Computer
Science and Engineering, Mysore, India.
Dr. Varadraj P. Gurupur is an distinguished faculty member and
researcher in the field of Health Informatics. He has authored many
research articles in reputed journals. He is currently working as an
AssociateProfessorattheUniversityofCentralFloridaintheDepartment
ofHealthInformatics,Florida,USA.
Dr. Steven Lawrence Fernandes is a high-profile researcher in the field
of Image Processing. He is currently working as Post-Doctoral Fellow at
the University of Central Florida in the Department of Computer Science
and Engineering, Florida, USA.
vii

1
CHAPTER
Introduction
I n the last three decades, technology has changed the way we live our
lives.Thishappenstobeauniversallyacceptedtruth.Inthisbook,we
attempt to illustrate the use of a new technology that has changed the
worldofcommunication,computingandcomputingeducation.Interest-
ingly,thenameofthistechnologycoincideswiththatofafamousdessert
namedRaspberryPie.RaspberryPiisasingleboardcomputerdeveloped
in the United Kingdom. Incidentally, the organization that started this is
known as the Raspberry Pi Foundation. This was first launched in
theyear2012.
Bytheyear2015,RaspberryPihadgainedwide-scalepopularity.Oneof
the key features of this technology was its size and adaptability. In some
strange ways, Raspberry Pi was the panacea the world of technology was
dreaming of. To build on this idea of a tiny computer, one must consider
the fact that more than a decade ago you would have computer programs
running on desktops wired to electromechanical systems that would use
them.TheadventoftheRaspberryPienablesthecommunityoftechnology
developerstoinnovatehandhelddevicesthancanencompassthepowerof
regular computers. Our intention in writing this book is twofold: a) we
want to provide a basic understanding of how a Raspberry Pi can be used
for simple applications, and b) we want to provide fundamental informa-
tiononhowaRaspberryPicanbeusedtoadvanceinnovationsinmachine
learningandimagerecognition.
While providing fundamental information on Raspberry Pi, we will
help students comprehend the necessary information required to develop
1