Hallo! Tracked shipping to Netherlands with Delivery Duty Paid for just €7 

Ship to
Netherlands
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Real-Time iot Imaging With Deep Neural Networks: Using Java on the Raspberry pi 4
Type
Physical Book
Publisher
Author
Year
2020
Language
English
Pages
248
Format
Paperback
ISBN13
9781484257210
Edition No.
1
Categories

Real-Time iot Imaging With Deep Neural Networks: Using Java on the Raspberry pi 4

Nicolas Modrzyk (Author) · Apress · Paperback

Real-Time iot Imaging With Deep Neural Networks: Using Java on the Raspberry pi 4 - Nicolas Modrzyk

Cheaper New Book Imported to Netherlands
Delivery: 08 Oct - 15 Oct Shipping: 12 to 16 business days.
€ 33,48
Faster New Book Imported to Netherlands
Delivery: 29 Sep - 01 Oct Shipping: 5 to 6 business days.
€ 47,32
Import costs and 9% BTW included in the price ✅
€ 33,48

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Real-Time iot Imaging With Deep Neural Networks: Using Java on the Raspberry pi 4 "

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 Real Time IoT Imaging for Deep Neural Networks, 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.What You Will Learn:Develop a YOLO DNN model for image detectionApply Clojure scripting on Raspberry Pi 4Prepare your codes for remote programmingUse the Snips voice platform for handling voice commandsWho This Book Is For: Engineers, and Hobbyists wanting to use their favorite JVM to run Object Detection and Networks on a Raspberry Pi

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews