Motorized Driving Safety System Using Eye Detection Analysis Method
DOI:
10.29303/jppipa.v8i3.1747Published:
2022-07-31Issue:
Vol. 8 No. 3 (2022): JulyKeywords:
Eye detection, Helmet, Safety, Traffic accidentResearch Articles
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Abstract
Traffic accident, particularly two-wheeled vehicles, is a problem for the Government, especially the Resort Police Traffic Unit (Satlantas Polres). The factor that causes the traffic accident incident is divided into three types, namely human factor, vehicle factor, and road or environment factor. The human factor is the most common factor for an accident. Fatigue factor that causes someone to feel sleepy while driving often results in a traffic accident. Based on the problem, the researcher wanted to create a technology innovation of a motorized driving safety system in the form of a helmet. The researcher made an innovation of a helmet that can detect drowsiness through the driver's eye blink duration. The drowsiness will be detected by using a camera sensor. The camera sensor used was Open MV camera. The method used in detecting sleepy drivers was the eye detection analysis method. The method enable detection based on the data of the duration of eye condition when it is closed and open. The closed eye has a low RBG mean value of 110-113 and an RBG median value of 99-109. Whereas opened eye has a higher RGB mean value of 179-206 and RGB median value of 178-206. The result of the research showed that someone's sleepy condition occurred when closing their eyes for more than 0.4 seconds to 4 seconds. The helmet is also equipped with GPS to monitor the position in the event of an accident as an emergency response effort.
References
Chaidir, A.R., Muldayani, W., & Kalandro, G.D. (2018). Pengenalan Gestur Jari Menggunakan Pengolahan Citra untuk Mengendalikan Joint pada Base Robot Lengan." Jurnal Rekayasa Elektrika, 14(3), https://doi.org/10.17529/jre.v14i3.11831
Chaidir, A. R., Rahardi, G. A., & Anam, K. (2020). Navigasi robot bergerak berdasarkan landmark garis menggunakan kontroler Braitenberg dan pengolahan citra. Jurnal Teknologi dan Sistem Komputer, 8(3), 185-191. https://doi.org/10.14710/jtsiskom.2020.13643
Gempur. (2020). Angka Kecelakaan di Kabupaten Jember. Majalah Gempur.
Hartiansyah, B. (2019). Deteksi dan Identifikasi Kondisi Kantuk Pengendara Kendaraan Bermotor Menggunakan Eye Detection Analysis. Jurnal Teknik Informatika. 3(1). https://doi.org/10.36040/jati.v3i1.541.
Hadi, W., Putri, E. T., Rahardi, G. A., Chaidir, A. R., & Gozali, M. (2022). The Performance Brushless Motor Direct Current 3 Phase Axial Flux Triple Stator. International Journal of Science & Engineering Development Research. 7(5). Retrieved from https://www.ijsdr.org/papers/IJSDR2205063.pdf
Haq A.Z., & Hasan, Z. (2016). Eye-Blink Rate Detection for Fatigue Determination. IEEE Explore. 978-1-4673. https://doi.org/10.1109/IICIP.2016.7975348
Puspita, Karina D. Willy Kriswardhana, dan Nunung N. Hayati. (2020). Analisis Karakteristik dan Biaya Kecelakaan Lalu lintas di Kabupaten Jember. Universitas Jember. Tesis. Retrieved from http://repository.unej.ac.id/xmlui/handle/123456789/107249
Rahardi, G. A., Anam, K., Chaidir, A. R., & Larasati, D. A. (2021). Navigation System for Olfactory Mobile Robot by Using Machine Vision System. IEEE 7th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA) (pp. 21-24). Bandung: IEEE.
Robin, M. H., Ur Rahman, M. M., Taief, A. M., & Nahar, E.Q. (2020). Improvement of Face and Eye Detection Performance by Using Multi-task Cascaded Convolutional Networks, 2020 IEEE Region 10 Symposium (TENSYMP), 977-980, https://doi.org/10.1109/TENSYMP50017.2020.9230756.
Tanmay, R., Ratnesh, K., & Erixkc, S. (2019). Eye Detection Morphological and color Image Processing. University of Florida.
Xu, C.L & Lin, C.Y. (2017). Eye-Motion Detection System for MND Patients. IEEE International Conference on Soft Computing and Machine Intelligence.
Yudhana N. R. (2019). Pelacakan Lokasi Seoeda Motor Mengguanakan Modul GPS Ublock NEO 6M dan GSM SIM800L. Universitas Muhammiyah Surakarta
Author Biographies
Sumardi Sumardi, Universitas Jember
Sudarti Sudarti, Universitas Jember
Wahyu Muldayani, Universitas Jember
Arizal Mujibtamala Nanda Imron, Universitas Jember
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Copyright (c) 2022 Sumardi Sumardi, Sudarti Sudarti, Wahyu Muldayani, Arizal Mujibtamala Nanda Imron
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