NUST Institutions Library Catalogue

Creating 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.