Ashwin Pajankar - Raspberry Pi Computer Vision Programming: Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3, 2nd Edition

Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3

Ashwin Pajankar

BIRMINGHAMMUMBAI

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First published: May 2015

Second edition: June 2020

Production reference: 1260620

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ISBN 978-1-80020-721-9

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Ashwin Pajankar is a polymath. He is a science popularizer, a programmer, a maker, an author, and a YouTuber. He graduated from IIIT Hyderabad with an MTech in computer science and engineering. He has a keen interest in the promotion of science, technology, engineering, and mathematics (STEM) education.

Lentin Joseph is an author, roboticist, and robotics entrepreneur from India. He runs a robotics software company called Qbotics Labs in Kochi/Kerala. He has 10 years of experience in the robotics domain, primarily working with the Robot Operating System (ROS), OpenCV, and PCL. He has authored several books on ROS, namely Learning Robotics Using PythonFirst Edition and Second Edition, Mastering ROS for Robotics ProgrammingFirst Edition and Second Edition, ROS Robotics Projects First Edition and Second Edition, and Robot Operating System for Absolute Beginners. He has masters in Robotics and Automation from Amrita Vishwa Vidapeetham University in India and also worked at the Robotics Institute, CMU, USA. He is also a TEDx speaker.

Arush Kakkar is an author, entrepreneur, and a computer vision and deep learning researcher. He is currently the CEO of Agrex.ai, a company started by him. It's a video analytics company utilizing Artificial Intelligence to analyze human behavior. The applications include analyzing customer behavior in retail stores, security threats in sensitive installations, thermal vision processing, face recognition, and improving operational efficiency.

He has authored two books Raspberry Pi By Example and Raspberry Pi: Amazing Products from Scratch both published by Packt Publishing. Arush has extensive experience in using Raspberry Pi to build products that use computer vision to accomplish certain tasks.

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