Abstract:
Security is a very big concern in today’s time. With increasing security risks, the
measures taken to ensure security need to evolve and adapt as well. Security is becoming an
ever-increasing problem, not only in houses but also in many other places such as large
facilities, industries etc. Key based or even thumb print based locks are starting to fail as they
can be cracked very easily. Because of this, a new security system needs to be developed
which docs not have any of the weaknesses of both key based and fingerprint-based lock
systems. A face recognition system is the best in this scenario because of its automation. It
can do what any other lock can do but do it without any of the defects of its counterparts
making it the best solution for this problem.
This project aims to create a system which can recognize when someone approaches
a door, authenticate their identity, and then check their authorities to decide if the door should
be opened for them or not. The system can recognize multiple people and opens the door
when all of the detected people are both recognized and authorized.
The device will use a camera to detect and recognize the faces. The Facial detection
system will be trained and implemented on python. The Face recognition model will be
trained using OpenCV. This device can be used in Different domains such as housing
societies for Front gate security, Industries, homes, buildings, or institutions with confidential
to have tighter security and in cars to only allow the owner or the family of the owner to
areas
access the car.
