DOOR SECURITY SYSTEM THROUGH MULTIPLE FACE RECOGNITION

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.