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Raspberry Pi 3 Projects for Java Programmers

You're reading from   Raspberry Pi 3 Projects for Java Programmers Get the most out of your Raspberry Pi 3 with Java

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781786462121
Length 286 pages
Edition 1st Edition
Languages
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Authors (3):
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Rajdeep Chandra Rajdeep Chandra
Author Profile Icon Rajdeep Chandra
Rajdeep Chandra
John Sirach John Sirach
Author Profile Icon John Sirach
John Sirach
Pradeeka Seneviratne Pradeeka Seneviratne
Author Profile Icon Pradeeka Seneviratne
Pradeeka Seneviratne
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Toc

Table of Contents (8) Chapters Close

Preface 1. Setting up Your Raspberry Pi FREE CHAPTER 2. Automatic Light Switch Using Presence Detection 3. A Social and Personal Digital Photo Frame 4. Integrating a Real-Time IoT Dashboard 5. Wireless Controlled Robot 6. Building a Multipurpose IoT Controller 7. Security Camera with Face Recognition

OpenCV

The Raspberry Pi camera module can be accessed through the MMAL, V4L APIs, and some third-party libraries, including the Picamera Python library. When you need to access the camera module with Java, a well-written, feature-rich library is available, which is OpenCV.

OpenCV is currently available for Windows, Linux/Mac, Android, and iOS as pre-built libraries. However, you can build the OpenCV library for your preferred development environment using the source code. For Raspberry Pi, we will be building the OpenCV library to work with Java in a few easy steps.

Downloading and installing OpenCV on Windows

In order to write Java applications with OpenCV, first you have to download and install Open CV on your computer. The following steps explain how to do this...

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