Abstract
Facial recognition is a technique that locates a person’s facial picture in a database of images in order to confirm that person’s identification. Since it doesn’t require any physical contact to get access, unlike conventional key-using methods, it becomes particularly useful in access control systems. Additionally, these systems need just photographic equipment for identification and are simple to set up and operate. Because of this, businesses already utilize them for access control to their workplaces. In this study, many facial recognition methods are examined. Face identification and cropping being the initial steps, we compared the conventional algorithms with the novel CNN- based technology which uses FaceNet as a baseline with respect to processing speed and detection accuracy. The created system will put together a face captured by the recording device with a picture from the database. In order to prevent the system from reacting to every means of getting around it, such as displaying a picture of a person who is authorized, the susceptibility of standalone facial recognition can be reduced by incorporating a spoof detection technique.