Book Image

Raspberry Pi 3 Projects for Java Programmers

By : Rajdeep Chandra, John Sirach, Pradeeka Seneviratne
Book Image

Raspberry Pi 3 Projects for Java Programmers

By: Rajdeep Chandra, John Sirach, Pradeeka Seneviratne

Overview of this book

Raspberry Pi is a small, low cost and yet very powerful development platform. It is used to interact with attached electronics by the use of it's GPIO pins for multiple use cases, mainly Home Automation and Robotics. Our book is a project-based guide that will show you how to utilize the Raspberry Pi's GPIO with Java and how you can leverage this utilization with your knowledge of Java. You will start with installing and setting up the necessary hardware to create a seamless development platform. You will then straightaway start by building a project that will utilize light for presence detection. Next, you will program the application, capable of handling real time data using MQTT and utilize RPC to publish data to Further, you will build a wireless robot on top of the zuma chassis with the Raspberry Pi as the main controller. Lastly, you will end the book with advanced projects that will help you to create a multi-purpose IoT controller along with building a security camera that will perform image capture and recognize faces with the help of notifications. By the end of the book, you will be able to build your own real world usable projects not limited to Home Automation, IoT and/or Robotics utilizing logic, user and web interfaces.
Table of Contents (8 chapters)
Integrating a Real-Time IoT Dashboard


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...