Revolutionizing Smart Town Surveillance Systems: A Framework for Implementing Drone-Based IoT and AI Technologies

The integration of drone technology, IoT, and AI can revolutionize smart town surveillance systems by reducing costs and improving response times to crime. The development of human-friendly drones and IoT technology enables automated city supervision, while the integration of AI allows for immediate reports and actions, overcoming human limitations. Drones can continuously monitor different areas, detecting crime hotspots and providing a substitute for city policies. This smart surveillance system can improve emergency management and ensure a regulated and competent surveillance management approach. Ultimately, this technology can enhance the safety and security of smart towns, making them more effective, efficient, and reliable. The framework of the suggested intelligent surveillance system relies on the utilization of real-time data collection and analysis, integrating drone technology, IoT devices, and AI. The research showcases the system’s efficacy in identifying and addressing criminal activities, making it an invaluable resource for law enforcement agencies. By combining these technologies, surveillance management can become more dependable and effective, ultimately contributing to the advancement of safer and smarter cities. The paper presents a comprehensive outline of the framework and its execution, providing a blueprint for future researchers and stakeholders to replicate and expand upon this endeavor. In this study, we present a superior surveillance system framework that is also implementable.