Active Security by Implementing Intrusion Detection and Facial Recognition

Abstract

The current situation of security cameras has shown that there is a large scope for improvement in the way they operate from a fundamental level. Security cameras have always been used as a monitoring system but not as an intrusion detecting and notifying system. CCTVs are ineffective when they are used just to monitor a room, but if we can implement facial recognition using the existing system, we can add a level of extra security to our home or office spaces. This paper will analyse the use of intruder detection in IoT, mainly CCTV or closed-circuit television using face detection while going in depth into how this can be achieved and what measures are taken to make this possible. This research will provide a deeper look into the problem of CCTVs being a passive form of security and how to make them a more active form of security by implementing intruder detection. Face detection using OpenCV is used to achieve the functionality of intruder detection. This information will impact the way CCTV cameras are made in the future and will demonstrate that the extra security layer of intrusion detection is a feasible and ready-to-use product.