Sistem Monitoring Kehadiran Perkuliahan Berbasis Face Detection Menggunakan Algoritma Viola Jones

Abstract— Presence of lectures is an important factors to take the final exam. It is necessary to have a presence system with computer vision technology that is capable to handling problems manually. Common problems are duplicate signatures, incorrect class schedules, and lecture reports. In this research, computer vision technology used is facial recognition. The stages of face recognition in this study are detection, feature extraction and recognition. The methods support face recognition process are Viola-Jones, Sobel, and KNN methods. Viola-Jones method in this study is applied to the face detection process, where the accuracy is more than 90%. While the process of feature extraction using Sobel method. And face recognition process using KNN method, wherein the method KNN has a high accuracy rate. Additionally in this study using distance determination facial image acquisition and position of the face. The accuracy of this study was 94.79%. Key Words— Computer Vision, Face Detection, List of Attendance, Viola-Jones Algorithm .