Live Face Detection and Recognition using Webcam

Live Face Detection and Recognition using Webcam

Preeti, D. Sathwik, G. Satwik, A.Sathvika Reddy, K. Sathvik, S. Sathvik Reddy, M. Satheesh

Abstract: The Real Time Face Detection Project is Used to detect and recognize the faces that are stored in it. We are going to do this project using the Computer Vision Library(C.V). The CV is Used for real time applications, so it is use for the detection of faces. The Project is based on three phases they are Face Detection, Training the recognizer and Face Recognization. First we have to create an virtual environment so the data will be stored in it rather than saving on PC. We should install CV first in order to work with the project.The first part is the Face detection where we should declare the human face in the computer so it can be detected through webcam. We should represent the oval faces with the rectangles so when a face passes it will be detected and shown in rectangle boxes. We should use the Haar Cascade Classifier method as the human faces are already trained in it so this can be easily used for face detection.Now, The we have to train the Recognizer so it recognizes a person. We have to take some pictures of a person and represent it with an id number. Now this pictures will run in the elif loops and will proceed to the other Functions.The final part is the Recognization in this the camera will capture a fresh image and will check if the face exists in the data stored or not. If the face is stored then it will produce the probability of the face matched and will return unknown if the face is not stored. The faces

will be shown in an rectangular box of height and width accordingly. And the data stored on an id will be also shown we the face is recognized.