Deteksi Mata Mengantuk pada Pengemudi Mobil Menggunakan Metode Viola Jones
DOI:
https://doi.org/10.30812/matrik.v18i2.389Keywords:
Computer Vision, Sleepy Eyes, Viola JonesAbstract
Computer Vision is one of the branches of Image processing science that allows a combination of human beings, such as identifying an object like an eye and taking a decision. Many of the face detection systems use the Viola Jones method as an object detection method. The method of Viola Jones is known by having high speed and accuracy because it is useful to combine several concepts such as (Haar Features, Integral Image, AdaBoost, and Cascade Classifier) into a major method for detecting objects. The programming language used in this study uses the MATLAB programming language to facilitate the process of creating the system. The research aims to implement Viola Jones into a simple eye-sensing drowsiness system by utilizing the existing libraries in the MATLAB programming language. Once the system is completed, a system test is performed against the detected drowsiness detection characteristics. This eye drowsiness detection system aims to determine if the car rider is sleepy or not when driving with an input in the form of eye detection taken using a digital camera and then inserted into a language Programming GUI Matlab where the value is taken binary eyes, sleepy eyes and not sleepy that will be a reference that will be processed later so that it can produce the output of a warning sound to the rider of the sleepy car vehicle or not The sleepy automatically. The testing of the program gained an amount detected 7 eyes of 10 eyes by using BW 0255 level which is useful to accelerate a program to detect sleepy eyes.
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[2] Prasetya dkk, “Deteksi wajah metode viola jones pada opencv menggunakan pemrograman python,†Simp. Nas. RAPI XI FT UMS, hal. 18–23, 2012.
[3] A. Hendrotriatmoko, S. Hadi, dan H. S. Dachlan, “Penggunaan Metode Viola-Jones dan Algoritma Eigen Eyes dalam Sistem Kehadiran Pegawai,†vol. 8, no. 1, hal. 41–46, 2014.
[4] Y. Indrianingsih, P. Studi, T. Informatika, S. Tinggi, dan T. Adisutjipto, “Deteksi jerawat pada wajah menggunakan metode viola jones,†Compiler, vol. 5, no. 1, 2016.
[5] A. Pendeteksian, P. Wajah, M. Metode, H. Feature, dan F. Method, “(Journal of Informatics and Telecommunication Engineering),†vol. 2, no. 2, hal. 69–76, 2019.
[6] S. Al-aidid dan D. S. Pamungkas, “Jurnal Rekayasa Elektrika Cascade dan Local Binary Pattern Histogram,†vol. 14, no. 36, 2018.
[7] A. R. Syafira dan P. Viola, “Sistem Deteksi Wajah Dengan Modifikasi Metode Viola Jones,†vol. 17, no. 01.
[8] R. D. Kusumanto, W. S. Pambudi, A. N. Tompunu, dan B. Maria, “RANCANG BANGUN CAMERA FACE TRACKER DENGAN MENGGUNAKAN METODE HAAR-LIKE FEATURE DAN PID,†vol. 5, no. 1, hal. 44–52, 2013.
[9] R. A. Firmansyah dan E. Alfianto, “Pembuatan Haar-Cascade Dan Local Binary Pattern Sebagai Sistem Pendeteksi Halangan Pada Automatic Guided Vehicle,†Simetris J. Tek. Mesin, Elektro dan Ilmu Komput., vol. 9, no. 2, hal. 1073–1082, 2018.
[10] S. Naqiyah, K. Adi, E. Widodo, D. Fisika, F. Sains, dan U. Diponegoro, “Pendeteksi kelelahan mata pengemudi kendaraan menggunakan metode segmentasi warna dalam ruang warna YCBCR,†vol. 6, no. 3,hal. 263–271, 2017. [11] H. Singh, J. S. Bhatia, dan J. Kaur, “Eye tracking based driver fatigue monitoring and warning system,†India Int. Conf. Power Electron. IICPE 2010, vol. 3, no. 3, hal. 190–194, 2011.
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