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Hands-On Robotics Programming with C++

You're reading from   Hands-On Robotics Programming with C++ Leverage Raspberry Pi 3 and C++ libraries to build intelligent robotics applications

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789139006
Length 312 pages
Edition 1st Edition
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Authors (2):
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Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
Dinesh Tavasalkar Dinesh Tavasalkar
Author Profile Icon Dinesh Tavasalkar
Dinesh Tavasalkar
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Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1: Getting Started with wiringPi on a Raspberry Pi
2. Introduction to the Raspberry Pi FREE CHAPTER 3. Implementing Blink with wiringPi 4. Section 2: Raspberry Pi Robotics
5. Programming the Robot 6. Building an Obstacle-Avoiding Robot 7. Controlling a Robot Using a Laptop 8. Section 3: Face and Object Recognition Robot
9. Accessing the RPi Camera with OpenCV 10. Building an Object-Following Robot with OpenCV 11. Face Detection and Tracking Using the Haar Classifier 12. Section 4: Smartphone-Controlled Robot
13. Building a Voice-Controlled Robot 14. Assessments 15. Other Books You May Enjoy

Installing OpenCV 4.0.0 on Raspberry Pi

The Open Source Computer Vision Library (OpenCV) is an open source computer vision and machine learning library. The OpenCV library consists of more than 2,500 computer vision and machine learning algorithms that can be used to recognize objects, detect colors, and track moving objects in real life or in a video. OpenCV supports the C++, Python, and Java programming languages, and can run on Windows, macOS, Android, and Linux.

Installing OpenCV on a Raspberry Pi is a time-consuming and lengthy process. There are multiple libraries and files that we have to install along with the OpenCV library to make it work properly. The steps to install OpenCV will be performed on my Raspberry Pi 3B+ model, which is running Raspbian Stretch. The OpenCV version we are going to install is OpenCV 4.0.0.

While installing OpenCV, we will download multiple...
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