Residential Security System based on Facial Recognition

Two most critical universal rights and factors of life are Privacy and Security. Today facial recognition is one of the most popular technologies in the field of security. A human being can remember a finite number of faces. Whereas in a computer system, due to no limits on storage and hardware capability, they can be used where huge databases of facial records are needed. In recent years, there has been an increase in demand for better and more con venient household security; computers have come as our savior. Due to high computing power, large memory storages, and their precision, considerable development has been made in face recognition. This technology is ideally suited to overcome many security issues and attain flexibility to intelligent security control. However, these components come at a price that is too costly for people to invest in for a good performance that can guarantee results. Hence, after many years of research, state-of-the-art models have been developed which work on smaller IoT/mobile devices with high accuracy. This paper presents an implementation of a facial recognition security system android app that works in real-time to identify residents of a residential complex. This system also keeps track of the entry details of individual residents, which can be easily requested in case of some criminal offense. To make it convenient for the residents, the whole system is made synchronous. Using the resident app, the residents can change their faces quickly whenever required from the comfort of their homes.