Sentinel AI: Revolutionizing Urban Security through Intelligent Video Surveillance in Indian Metropolises

This project outlines the conceptualization and development of a cutting-edge Smart Security AI-driven Video Surveillance (SSAVS) system meticulously crafted to address the nuanced security challenges prevalent in bustling Indian metropolises. By amalgamating state-of-the-art artificial intelligence (AI) technologies with sophisticated video surveillance infrastructure, SSAVS aims to redefine the paradigm of urban security through proactive crime monitoring and prevention. By using cutting-edge machine learning techniques and real-time video analytics, SSAVS empowers law enforcement agencies with unparalleled capabilities to identify, analyze, and address security risks in urban environments swiftly. The system’s ability to identify suspicious activities, recognize potential threats, and predict anomalous behavior patterns facilitates preemptive intervention, thereby bolstering public safety and instilling confidence in urban communities. This paper elucidates the intricate architecture, functional intricacies, and implementation strategies of SSAVS, underlining its transformative potential in fortifying the security landscape of Indian metropolises and fostering safer, more resilient urban ecosystems.