Automated Cloud Based Attendance System Using Principal Component Analysis
Every educational institute needs attendance marking to keep a daily track on students’ performance. Conventional marking is time-consuming and banal for both students and teachers. To overcome this problem, proposed system using face recognition and integrate data on the cloud so that all records are easily available and maintained by the server and to minimize the errors. The model is deployed on the cloud so that faculty and students can access it. Eigen facedetection techniques are used for marking the attendance of the students. The concepts of Image processing as well as Face detection and Recognition are used.