AI and Deep Learning Enabled Surveillance System Using Image Processing
eBook - ePub

AI and Deep Learning Enabled Surveillance System Using Image Processing

  1. 256 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

AI and Deep Learning Enabled Surveillance System Using Image Processing

About this book

AI and Deep Learning Enabled Surveillance System Using Image Processing is an essential resource for anyone interested in the convergence of advanced technologies to enhance surveillance capabilities. This book explores in detail how artificial intelligence and deep learning can be applied to image processing, offering a transformative approach to modern surveillance systems. It covers foundational concepts of AI and deep learning, explaining how these technologies are reshaping the way we understand and utilize image data. The book emphasizes practical implementation, guiding readers through the integration of AI algorithms with image processing techniques to create sophisticated, real-time surveillance solutions.

Through in-depth discussions and real-world case studies, the book highlights the applications of AI in various surveillance contexts, such as public safety, traffic monitoring, and access control. Readers will learn about the latest advancements in neural networks, object detection, and anomaly detection, gaining insights into developing and deploying intelligent surveillance systems. Additionally, the book addresses critical ethical and privacy considerations, ensuring that readers are aware of the balance between enhanced security and individual privacy rights. This comprehensive guide is an invaluable tool for professionals and researchers aiming to harness the power of AI and deep learning in the field of surveillance.

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Information

Year
2026
Print ISBN
9781805928188
9781805928164
eBook ISBN
9781805928171

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Dedication
  5. Contents
  6. List of Abbreviations
  7. About the Editors
  8. About the Contributors
  9. Foreword
  10. Preface
  11. Acknowledgment
  12. Prelude
  13. Prologue
  14. Chapter 1. Integrating Image Processing and AI in Modern Surveillance: A Roadmap for Smart Cities
  15. Chapter 2. Revolutionizing Modern Surveillance Systems: Harnessing the Power of Neural Networks for Advanced Video Analytics, Real‑Time Object Detection, and Predictive Security Applications
  16. Chapter 3. Machine Learning and Deep Learning Algorithms in Surveillance Systems
  17. Chapter 4. Understanding Neural Networks in Surveillance Systems
  18. Chapter 5. Integration of Thermal Imaging and AI for Night‑Time Surveillance
  19. Chapter 6. Enhancing Real‑Time Surveillance Video Analysis With AI‑Powered Deep Learning Techniques
  20. Chapter 7. AirNet – X: Object Detection From Aerial Images for Enhanced Disaster Detection
  21. Chapter 8. Use of Remote Sensing for Precision Agriculture: Areas of Research and Prospects
  22. Chapter 9. Robust Object Detection for Autonomous Vehicles on Indian Roads Using YOLOv8
  23. Chapter 10. Intelligent Surveillance: Enhancing Security Through Automation and AI
  24. Epilogue

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Yes, you can access AI and Deep Learning Enabled Surveillance System Using Image Processing by Jay Kumar Pandey,Mritunjay Rai,Faizan Ahmad in PDF and/or ePUB format, as well as other popular books in Computer Science & Digital Media. We have over one million books available in our catalogue for you to explore.