AI and Deep Learning Enabled Surveillance System Using Image Processing

Nyhet

Häftad, Engelska, 2026

AvJay Kumar Pandey,Mritunjay Rai,Faizan Ahmad

789 kr

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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.

Produktinformation

Utgivningsdatum2026-03-23
Mått156 x 234 x 15 mm
Vikt434 g
FormatHäftad
SpråkEngelska
Antal sidor300
FörlagEmerald Publishing Limited
ISBN9781805928188

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Jay Kumar Pandey is currently an Assistant Professor in the Department of Electrical and Electronics Engineering at Shri Ramswaroop Memorial University, Barabanki, U.P, India.Mritunjay Rai is currently an Assistant Professor in the Department of Electrical and Electronics Engineering at Shri Ramswaroop Memorial University, Barabanki, U.P, India.Faizan Ahmad is a Lecturer in Computer Science and/or Games Development at Cardiff School of Technologies, Cardiff Metropolitan University, UK.

Chapter 1. Integrating Image Processing and AI in Modern Surveillance: A Roadmap for Smart Cities; Vaibhav Sharma, Akshay Raj, and Zeba RaniChapter 2. Revolutionizing Modern Surveillance Systems: Harnessing the Power of Neural Networks for Advanced Video Analytics, Real-Time Object Detection, and Predictive Security Applications; Lokesh Jain and Nitin SaraswatChapter 3. Machine Learning and Deep Learning Algorithms in Surveillance Systems; Nitendra Kumar, Sandeep Mathur, and Ramit SehgalChapter 4. Understanding Neural Networks in Surveillance Systems; Sandeep Mathur, Ramit Sehgal, and Nitendra KumarChapter 5. Integration of Thermal Imaging and AI for Night-Time Surveillance; Laxman Singh, Sonia Arora, Manali Gupta, and Mritunjay RaiChapter 6. Enhancing Real-Time Surveillance Video Analysis with AI-Powered Deep Learning Techniques; Shivani Shingh and Jay Kumar PandeyChapter 7. AirNet – X: Object Detection from Aerial Images for Enhanced Disaster Detection; Syed Rafiammal, M. Padma Usha, SyedaZainab, Jiyaad Ahmed, and NajumudeenChapter 8. Use of Remote Sensing for Precision Agriculture: Areas of Research and Prospects; Karim Ennouri, Mohamed Ali Triki, and Monia EnnouriChapter 9. Robust Object Detection for Autonomous Vehicles on Indian Roads Using YOLOv8; Priyanshu Nawal and Pawan SinghChapter 10. Intelligent Surveillance: Enhancing Security Through Automation and AI; Poonam Yadav and Prashant Kumar