Sistem Pengenalan dan Tracking Wajah pada Robot 2 DOF

Abstract

Face recognition needs accurate software system to get the optimally funcion in recognizing a human face with scanning. The system able to determine human face when detected. It’s has the same characteristics with faces in the database. In other sides, face tracking, face detection and face recognition is the priority. The method Haarcascade is used to detect the face on image or input from the camera and face recognition method is used Local Binery Pattern Histogram. The robot will know face owner’s if the face in the detection and input of the camera has the same characteristic as the pictures of face in the database. This system able to detect multiple faces in single frame. And also, the movement of the camera is able to follow the movement of the face. But have to make straight projecting position between face and camera.