Overview

AI in Surveillance and Monitoring: Real-Time Detection and Video Analytics for Modern Physical Security is a practical, hands-on guide for security professionals, system integrators, facility managers, and decision-makers looking to understand and implement AI-powered surveillance solutions in real-world environments. As traditional CCTV evolves into intelligent, self-learning security ecosystems, this book bridges the gap between theory and field-ready application. It explores how Artificial Intelligence, Machine Learning, and advanced video analytics are reshaping physical security operations across corporate campuses, financial institutions, smart cities, critical infrastructure, and public spaces. Readers will gain a clear understanding of: The evolution of surveillance systems from analog cameras to AI-driven platforms How real-time object detection, facial recognition, behavior analysis, and anomaly detection work Practical implementation strategies for AI-based monitoring systems Integration of AI with access control, alarms, and command centers Reducing false alarms and improving situational awareness through automation Ethical responsibilities, privacy challenges, and legal considerations in AI deployment Future trends in predictive surveillance and intelligent threat response Written in a clear and practitioner-centric language, this book does not just explain technology - it explains how to apply it effectively. Whether you are planning a new installation, upgrading an existing system, or designing a security strategy for the next decade, this guide provides real-world insights, checklists, scenarios, and best practices drawn from modern security operations. If you are working in Physical Security, Corporate Security, Risk Management, Law Enforcement, or Smart Infrastructure, this book will serve as both a strategic reference and a practical implementation manual in the era of intelligent monitoring.

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