PENERAPAN METODE VIOLA JONES DAN EIGENFACE UNTUK PENGENALAN WAJAH
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
FAHLEPY, FARHAN
Rusjdi, Darma
Ningrum, Rahma Farah
Rusjdi, Darma
Ningrum, Rahma Farah
Subject
Teknik Informatika
Datestamp
2022-09-23 02:53:44
Abstract :
Attendance monitoring is one of the factors to improve the quality of learning, but currently the attendance of learning participants still has many shortcomings that can be manipulated. In addition teachers have obstacles in supervising all participants learning in class, this is due to the limited ability of the instructor himself. This can cause the quality of learning to be less good. Attendance monitoring using a camera for facial recognition can be a solution to reduce the attendance attendance of learning participants. In this study does not examine supervision in real time from the beginning of entering the classroom to leaving the classroom, but this study only examined when entering and leaving the classroom. For face recognition using the Viola Jones method by utilizing an image processing library that serves as the basis for processing image detection in faces. While in the process of facial recognition the method used is Eigenface. In this study, the face detection and face recognition testing is carried out based on several conditions that may affect the accuracy of the detection and face recognition. These factors include the effect of light intensity, face position, the addition of accessories, the number of faces and the distance of the face to the camera. The test results show the acquisition of a face detection accuracy rate of 92.3%, while the face recognition accuracy rate of 83.3%. From both methods can be implemented for the attendance of the learning participants by recording the time of attendance in and out of learning hours when faces are recognized.
Attendance monitoring is one of the factors to improve the quality of learning, but currently the attendance of learning participants still has many shortcomings that can be manipulated. In addition teachers have obstacles in supervising all participants learning in class, this is due to the limited ability of the instructor himself. This can cause the quality of learning to be less good. Attendance monitoring using a camera for facial recognition can be a solution to reduce the attendance attendance of learning participants. In this study does not examine supervision in real time from the beginning of entering the classroom to leaving the classroom, but this study only examined when entering and leaving the classroom. For face recognition using the Viola Jones method by utilizing an image processing library that serves as the basis for processing image detection in faces. While in the process of facial recognition the method used is Eigenface. In this study, the face detection and face recognition testing is carried out based on several conditions that may affect the accuracy of the detection and face recognition. These factors include the effect of light intensity, face position, the addition of accessories, the number of faces and the distance of the face to the camera. The test results show the acquisition of a face detection accuracy rate of 92.3%, while the face recognition accuracy rate of 83.3%. From both methods can be implemented for the attendance of the learning participants by recording the time of attendance in and out of learning hours when faces are recognized.
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