Mathematical Models Using Artificial Intelligence for Surveillance Systems
eBook - PDF

Mathematical Models Using Artificial Intelligence for Surveillance Systems

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Mathematical Models Using Artificial Intelligence for Surveillance Systems

About this book

This book gives comprehensive insights into the application of AI, machine learning, and deep learning in developing efficient and optimal surveillance systems for both indoor and outdoor environments, addressing the evolving security challenges in public and private spaces.

Mathematical Models Using Artificial Intelligence for Surveillance Systems aims to collect and publish basic principles, algorithms, protocols, developing trends, and security challenges and their solutions for various indoor and outdoor surveillance applications using artificial intelligence (AI). The book addresses how AI technologies such as machine learning (ML), deep learning (DL), sensors, and other wireless devices could play a vital role in assisting various security agencies. Security and safety are the major concerns for public and private places in every country. Some places need indoor surveillance, some need outdoor surveillance, and, in some places, both are needed. The goal of this book is to provide an efficient and optimal surveillance system using AI, ML, and DL-based image processing.

The blend of machine vision technology and AI provides a more efficient surveillance system compared to traditional systems. Leading scholars and industry practitioners are expected to make significant contributions to the chapters. Their deep conversations and knowledge, which are based on references and research, will result in a wonderful book and a valuable source of information.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, weā€™ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere ā€” even offline. Perfect for commutes or when youā€™re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Mathematical Models Using Artificial Intelligence for Surveillance Systems by Padmesh Tripathi,Mritunjay Rai,Nitendra Kumar,Santosh Kumar in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Chapter 1 Elevating Surveillance Integrity-Mathematical Insights into Background Subtraction in Image Processing
  8. Chapter 2 Machine Learning and Artificial Intelligence in the Detection of Moving Objects Using Image Processing
  9. Chapter 3 Machine Learning and Imaging-Based Vehicle Classification for Traffic Monitoring Systems
  10. Chapter 4 AI-Based Surveillance Systems for Effective Attendance Management: Challenges and Opportunities
  11. Chapter 5 Enhancing Surveillance Systems through Mathematical Models and Artificial Intelligence: An Image Processing Approach
  12. Chapter 6 A Study on Object Detection Using Artificial Intelligence and Image Processingā€“Based Methods
  13. Chapter 7 Application of Fuzzy Approximation Method in Pattern Recognition Using Deep Learning Neural Networks and Artificial Intelligence for Surveillance
  14. Chapter 8 A Deep Learning System for Deep Surveillance
  15. Chapter 9 Study of Traditional, Artificial Intelligence and Machine Learning Based Approaches for Moving Object Detection
  16. Chapter 10 Arduino-Based Robotic Arm for Farm Security in Rural Areas
  17. Chapter 11 Graph Neural Network and Imaging Based Vehicle Classification for Traffic Monitoring System
  18. Chapter 12 A Novel Zone Segmentation (ZS) Method for Dynamic Obstacle Detection and Flawless Trajectory Navigation of Mobile Robot
  19. Chapter 13 Artificial Intelligence in Indoor or Outdoor Surveillance Systems: A Systematic View, Principles, Challenges and Applications
  20. Index
  21. Also of Interest
  22. EULA