Sistem Absensi dengan OpenCV Face Recognition dan Raspberry Pi
Main Article Content
Abstract
Attendance data collection activities are routine. In general, this is done by signing an attendance sheet. This is considered slow and also causes disruption in carrying out lectures and activities. One solution to the problem is to use Face Recognition, Face Recognition is a biometric technology that has been widely applied in security systems in addition to eye retina recognition, fingerprint and iris recognition. In the application itself, face recognition uses a camera to capture a person's face and then compare it with faces that have previously been stored in a certain database. In the manufacturing process, Raspberry pi is used as the core of this tool. With the three things above, namely Attendance, Face Recognition, and Raspberry pi, a tool is formed that can meet the needs of an automatic, effective, and efficient attendance process
Article Details
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
[2] Ni Wayan Marti. (2010). Pemanfaatan GUI Dalam Pengembangan Perangkat Lunak Pengenalan Citra Wajah Manusia menggunakan Metode Eigenface.
[3] Desa, P. K. (2017). BUKU PANDUAN PEMOGRAMAN PYTHON. relawanTIK.
[4] Sepritahara. (2015). SISTEM PENGENALAN WAJAH (FACE RECOGNITION) MENGGUNAKAN METODE HIDDEN MARKOV MODEL (HMM) .
[5] Singh, V. S. (2013). Face Detection By Haar Cascade Classifier With Simple And Complex Backgrounds Images Using OpenCV Implementation. International Journal of Advanced Technology in Engineering and Science (IJATES), I(12), 33-38.
[6] “BBC – dot.Rory: A 15 pound computer to inspire younf programers” .bbc.co.uk
[7] Prasetyo, Eri dan Rahmatun Isna. Face Recognition System Design With Expression Position and Variation Method Using Eigenface. pusatstudi.gunadarma.ac.id.
[8] Karen E. Kalumuck (2000). Human body explorations: hands-on investigates of what makes us tick. Kendall Hunt.