AI-Powered Video Analytics for Border Surveillance Using Drones

The use of drones in border surveillance has revolutionized the way security forces monitor and protect vast and remote areas. By incorporating AI-powered video analytics, this research presents a cutting-edge system that automates the process of detecting and analyzing real-time changes in border environments. The system compares live drone footage with archived data to identify potential threats or irregularities, thus reducing human error and enhancing security effectiveness. Leveraging advanced computer vision algorithms and machine learning models, this AI-driven approach significantly improves situational awareness and allows for quicker, more accurate responses to security breaches. This paper also discusses the challenges associated with environmental factors, drone autonomy, and the need for multi-modal sensor integration. Future research directions focus on improving prediction models and autonomous drone swarming.