Abstract:
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.
