Facial recollection system in live stream

Abstract

In our Facial Recollection system, the facial pattern of a person is being noted during Livestream using LBPH algorithms. Faces can be detected through our camera which then reveals their identity on the screen. Faces can be identified through the collection of the previous image of the person and checking with spatial structure and arrangement. Hence we can then able to track the person of our interest. Simultaneous detection and identification of each and every individual within the frame video boundary can be made possible. Hence the image is then used to detect faces visible in the camera and then training the images and are stored in a database with a name given by the user.