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.
Downloads
References
[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.
Downloads
Published
Issue
Section
How to Cite
Similar Articles
- Rendy Rian Chrisna Putra, Tri Sugihartono, Penerapan Algoritma Fisher-Yates Shuffle pada Computer Based Test Ujian Sekolah di SMKN 1 Payung , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 18 No. 2 (2019)
- Anthony Anggrawan, Raisul Azhar, Bambang Krismono Triwijoyo, Mayadi Mayadi, Developing Application in Anticipating DDoS Attacks on Server Computer Machines , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 20 No. 2 (2021)
- Soleh Ardiansyah, Adani Setiorini, Lovinta Happy Atrinawati, Tegar Palyus Fiqar, Perancangan Arsitektur Sistem dan Teknologi Informasi Menggunakan Togaf ADM (Studi Kasus Dinas Perhubungan Kota Balikpapan) , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 19 No. 1 (2019)
- Willy Riyadi, Jasmir Jasmir, Performance Prediction of Airport Traffic Using LSTM and CNN-LSTM Models , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 3 (2023)
- Zein Zein, Ahmat Adil, APLIKASI MEDIA BANTU PEMBELAJARAN KRIPTOGRAFI DENGAN MENGGUNAKAN ALGORITMA MESSAGE DIGEST 5 (MD5) , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 15 No. 2 (2016)
- Yuniansyah Yuniansyah, Andri Saputra, PENGEMBANGAN MULTIMEDIA PEMBELAJARAN UNTUK MATAKULIAH GRAFIK KOMPUTER MENGGUNAKAN METODE ADDIE , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 17 No. 1 (2017)
- Achmad Lukman, Wahju Tjahjo Saputro, Erni Seniwati, Improving Performance Convolutional Neural Networks Using Modified Pooling Function , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 2 (2024)
- I Putu Hariyadi, Akbar Juliansyah, Analisa Penerapan Private Cloud Computing Berbasis Proxmox Virtual Environment Sebagai Media Pembelajaran Praktikum Manajemen Jaringan , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 18 No. 1 (2018)
- Angelina Ervina Jeanette Egeten, Lya Santi Rahayu, Riansyah Rafsanjani, Analisis dan Perancangan Sistem Reservasi Paket Wisata Untuk Internal Karyawan PT. Garuda Maintenance Facility (GMF) Tbk , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 19 No. 1 (2019)
- Susandri Susandri, Ahmad Zamsuri, Nurliana Nasution, Yoyon Efendi, Hiba Basim Alwan, The Mitigating Overfitting in Sentiment Analysis Insights from CNN-LSTM Hybrid Models , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 24 No. 2 (2025)
You may also start an advanced similarity search for this article.