MARC details
000 -LEADER |
fixed length control field |
03921nam a22004455i 4500 |
001 - CONTROL NUMBER |
control field |
ssj0002289122 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
WaSeSS |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20220427134155.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
fixed length control field |
m d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr n |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
200310s2020 xxu| o |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781484257210 |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-1-4842-5722-7 |
Source of number or code |
doi |
040 ## - CATALOGING SOURCE |
Modifying agency |
WaSeSS |
Transcribing agency |
AIMIT LIBRARY |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
TK7885-7895 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UK |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM067000 |
Source |
bisacsh |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UK |
Source |
thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
004.69 |
Edition number |
1 |
Item number |
MODN |
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) |
Classification number |
EBOOK |
999 ## - SYSTEM CONTROL NUMBERS (KOHA) |
Koha Dewey Subclass [OBSOLETE] |
03659836 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Modrzyk, Nicolas. |
9 (RLIN) |
32364 |
245 10 - TITLE STATEMENT |
Title |
Real-Time IoT Imaging with Deep Neural Networks : |
Remainder of title |
Using Java on the Raspberry Pi 4 / |
Statement of responsibility, etc. |
by Nicolas Modrzyk. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. |
Remainder of edition statement |
South Asian edition. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Berkeley, CA : |
Name of publisher, distributor, etc. |
Apress : |
-- |
Imprint: Apress, |
Date of publication, distribution, etc. |
2022. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxi, 224 p. |
Other physical details |
23.5 cm. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Chapter 1: Getting Started -- Chapter 2: Object Detection in Video Streams -- Chapter 3: Vision on Raspberry 4 -- Chapter 4: Analyzing Video Streams on the Raspberry -- Chapter 5: Vision and Home Automation.-. |
506 ## - RESTRICTIONS ON ACCESS NOTE |
Terms governing access |
Requires an SPL library card. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
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. You Will: Show mastery by creating OpenCV filters Execute a YOLO DNN model for image detection Apply the best Java scripting on 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. |
538 ## - SYSTEM DETAILS NOTE |
System details note |
Mode of access: World Wide Web. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Computer input-output equipment |
9 (RLIN) |
32365 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Java (Computer program language) |
9 (RLIN) |
32366 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Machine learning |
9 (RLIN) |
32367 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Vision on Raspberry Pi 4 |
9 (RLIN) |
32368 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Vision and Home Automation |
9 (RLIN) |
32369 |
655 #7 - INDEX TERM--GENRE/FORM |
Genre/form data or focus term |
Electronic books. |
Source of term |
local |
9 (RLIN) |
32370 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Link text |
View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. |
Uniform Resource Identifier |
<a href="https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484257227/?ar">https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484257227/?ar</a> |
Public note |
An e-book available through full-text database. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Book |
Edition |
1st |
Call number prefix |
004.69 MODN |