000			01489nam a22001817a 4500
003			NUST
040			_a0
082			_a621.382,AHM
100			_aAhmad, Faizan _9118413
245			_aAutonomous Intelligence-based Security & Surveillance System (AISS) / _cFaizan Ahmad Muhammad Hammad Umar Nawaz M. Momin Abbas. (TCC-31 / BETE-56)
264			_aMCS, NUST _bRawalpindi _c 2023
300			_a40 p
505			_aCreating a vigilant and reliable surveillance system is foremost necessary for ensuring our safety for ourselves at our residences and workplace. As we are observing the significant and consequential developments in the fields of computer vision and machine learning, it is fair and wise to employ emerging technologies in our surveillance and security systems. Such techniques will enhance the system’s efficiency significantly. Therefore, we are proposing an Autonomous Intelligence-based Security and Surveillance System (AISS) that can autonomously detect perimeter intrusion over the boundary walls of an institution. The proposed solution, AISS, will autonomously and promptly raise the alarm and notify the security staff upon detecting a breach over the boundary. The primary objective of our project is to eliminate the likelihood of human error, which can occur due to fatigue, stress, and various other reasons.
650			_aUG EE Project _9118090
690			_aTCC-31 / BETE-56 _9118237
700			_aSupervisor Dr. Imran Makhdoom _9118414
942			_2ddc _cTHE
999			_c603366 _d603366