This book shows you how to build real-time image processing systems all the way through to
house automation. Find out how you can develop a system based on small 32-bit ARM processors
that gives you complete control through voice commands. Real-time image processing systems are
utilized in a wide variety of applications such as in traffic monitoring systems medical
image processing and biometric security systems. In Real-Time IoT Imaging with Deep Neural
Networks you will learn how to make use of the best DNN models to detect object in images
using Java and a wrapper for OpenCV. Take a closer look at how Java scripting works on the
Raspberry Pi while preparing your Visual Studio code for remote programming. You will also gain
insights on image and video scripting. Author Nicolas Modrzyk shows you how to use the Rhasspy
voice platform to add a powerful voice assistant and completely run and control your Raspberry
Pi from your computer. To get your voice intents for house automation ready you will explore
how Java connects to the MQTT and handles parametrized Rhasspy voice commands. With your
voice-controlled system ready for operation you will be able to perform simple tasks such as
detecting cats people and coffee pots in your selected environment. Privacy and freedom are
essential so priority is given to using open source software and an on-device voice
environment where you have full control of your data and video streams. Your voice commands are
your own-and just your own. With recent advancements in the Internet of Things and machine
learning cutting edge image processing systems provide complete process automation. This
practical book teaches you to build such a system giving you complete control with minimal
effort. What You Will Learn: Show mastery by creating OpenCV filters Execute a YOLO DNN model
for image detection Apply the best Java scriptingon Raspberry Pi 4 Prepare your setup for
real-time remote programming Use the Rhasspy voice platform for handling voice commands and
enhancing your house automation setup Who This Book Is For:Engineers and Hobbyists wanting to
use their favorite JVM to run Object Detection and Networks on a Raspberry Pi
