This book shows you how to build real time image processing systems for complete process automation. Find out how you can develop a system based on 32-bit ARM processors that gives you complete control through voice commands.Real time image processing systems are used in various applications, such as traffic monitoring systems, medical image processing, and biometric security systems. In , you will learn how to train your network to detect images with Java, Clojure, and OpenCV by creating your own custom YOLO DNN model. Take a closer look at how Clojure 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 Snips voice platform to add a powerful voice assistant and use Sam, a command line interface (CLI) used to set up and maintain Raspberry Pi from your computer. To get your voice model ready, you will explore how Java and Clojure connect to the MQTT, then set up Snips for handling inbound and outbound messages. With your voice controlled system ready for operation, you will be able to perform simple tasks such as detecting objects in a selected environment.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. Engineers, and Hobbyists wanting to use their favorite JVM to run Object Detection and Networks on a Raspberry Pi weiterlesen