000			01862nam a22001817a 4500
003			NUST
005			20240923135903.0
082			_a621.382,IQB
100			_aIqbal, Mohammad Momin _9125992
245			_aIntelligent Drone Surveillance System with Real Time Object Tracking (IDSS) / _cMohammad Momin Iqbal, Muhammad Saad Mushtaque, Syed Faseeh Hussain Shah, Adil Faraz Khan.
260			_aMCS, NUST _bRawalpindi _c2024
300			_a53 p
505			_aThe 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.
650			_aUG EE Project _9118090
651			_a BEE-57 _9125983
700			_aSupervisor Dr. Shibli Nisar _9112570
942			_2ddc _cPR
999			_c611730 _d611730