Abstract:
The project "Intelligent Drone Surveillance System" is focused on creating a drone system that can autonomously perform real-time video surveillance and track objects using computer vision and machine learning. This system tracks suspicious objects on its own to enhance surveillance activities by using deep learning algorithms. The results suggest that faster object recognition and tracking have led to better security checks and quicker threat identification, resulting in timely response. Detailed documentation supports the system’s timely response to threats through smart decision-making as it allows for proper monitoring and real-time surveillance efforts.
This research is advancing the industry by developing advanced drone technology, which helps create sustainable cities with improved security measures. It also contributes to peace and justice by assisting law enforcement agencies. The project emphasizes partnerships technology developers who are involved in security affairs so that surveillance and security problems are solved effectively. The Intelligent Drone Surveillance System is a great advancement in surveillance technology, with potential applications in various sectors needing enhanced security and real-time monitoring capabilities.
