Pajankar - Raspberry Pi computer vision programming: design and implement your own computer vision applications with the Raspberry Pi

Ashwin Pajankar is a Bangalore-based software professional with more than 5 years of experience in software design, development, testing, and automation. He graduated from IIT Hyderabad with an MTech degree in computer science and engineering. He holds multiple professional certifications from Oracle, IBM, Teradata, and ISTQB in development, databases, and testing. Apart from work, he enjoys serving the community. He has won several awards in college through college outreach initiatives and at work for community service through his employers for corporate social responsibility programs. He was introduced to the Raspberry Pi while organizing a hackathon at his workplace, and he's been hooked on to Pi ever since. He writes plenty of code in Bash, Python, and Java on his cluster of Pi. Currently, he's building India's biggest cluster of the recently launched Raspberry Pi 2. He's reviewed two other titles related to Python from Packt and is working on another book on Raspberry Pi.

You can view Ashwin's LinkedIn profile by visiting in.linkedin.com/in/ashwinpajankar.

I would like to thank my wife, Kavitha, for motivating me to write this book to share my knowledge with others. I would also like to thank Merwyn D'Souza and Llewellyn Rozario from Packt Publishing for providing me with the opportunity, guidance, and necessary support to write this book. Last but not least, I would like to thank all the reviewers who helped me make the book better by providing their precious feedback.

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 bachelors 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.

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