Rancang Bangun Sistem Deteksi Kecepatan Kendaraan di Wilayah Zona Selamat Sekolah (ZoSS) Berbasis Mini PC
How to cite (IJASEIT) :
This study aims to create a system to detect vehicle speed in the School Safe Zone area using Mini PC based with Computer Vision technology and Image Processing techniques. This research, was hoped for the drivers will more discipline in driving, so can create safe and comfortable traffic in the School Safe Zone area. This system was made using a camera module to take video of the track, Raspberry Pi was used as the main device for detection and speed calculation. Every vehicle which crossed the zone would be detected and tracked to follow every vehicle movement, then was conducted a process of saving the center point of the vehicle object based on the initial detection line. Finally, calculated the vehicle speed based on the distance and time the vehicle moved on the frame which was set based on the detection line. The results of the vehicle speed would be displayed on the LCD and the output was in the form of a sound from the speaker as a warning for drivers whose vehicle speed exceeds 25 km / hour. Based on results of this research, the system was capable for work well in detecting and getting the speed results of passing vehicles. However, for direct implementation the devices in this system are inadequate for video processing, so that the response time and accuracy level was obtained by the system did not match for actual conditions.
[2] Undang-undang Lalu Lintas Nomor 22 tahun 2009 yang menggantikan Undang-undang Nomor 14 tahun 1992 tentang peraturan dasar pengendara.
[3] Peraturan Menteri Perhubungan Direktorat Jenderal Darat, 2014. No. SK.1304/AJ.403/DJPD/2014 tentang Zona Selamat Sekolah (ZoSS).
[4] Mutiara Sari, Nadra. Oktaviani. Novia, Ali. 2015. “Tinjauan Kecepatan Kendaraan Pada Wilayah Zona Selamat Sekolah (ZoSS) di Kota Padang”. Annual Civil Engineering : Pekanbaru. ISBN : 978-979-792-636-6.
[5] Kurniati, Titi. Gunawan, Hendra. Zulputra, Dony. 2010. Evaluasi Penerapan Zona Selamat Sekolah di Kota Padang. Jurnal Rekayasa Sipil. Universitas Andalas. ISSN : 1858-2133.
[6] Arby Yuha, Reza. 2019. Deteksi Gerakan Pada Kamera CCTV dengan Algoritma Frame Difference dan Frame Subtraction. Seminar Nasional Aptikom (SEMNASTIK).
[7] Andrew. 2017. Deteksi Keceptan Kendaraan Berjalan di Jalan Menggunakan OpenCV. Tugas Akhir. Jurusan Teknik Informatika ITS.
[8] About Raspberry Pi. Official website of the Raspberry Pi project. http://www.raspberrypi.org/, diakses pada tanggal 27 Januari 2020.
[9] Sutoyo, T, dkk. 2009. “Teori Pengolahan Citra Digital”. ANDI : Yogyakarta; UDINUS : Semarang.
[10] Erik Solem, Jan. 2012. Programming Computer Vision with Python. O’Reilly Media, Inc : United State of America.
[11] About OpenCV. Official Website of the OpenCV. https://www.opencv.org/, diakses pada tanggal 27 Januar 2020.
[12] About Python. Official Website of the Python. https://www.python.org/, diakses pada tanggal 29 Januari 2020.
[13] Roserbrock, Adrian. 2018. “Simple Object Tracking With OpenCV”. https://www.pyimagesearch.com/2018/07/23/simple-object-tracking-with-opencv/. Diakses pada tanggal 17 Januari 2020.
[14] Nofriani. 2020. Machine Learning Application for Classification Prediction of Household’s Welfare Status. Journal of Information technology and Computer Engineering (JITCE). Vol. 04 No. 02 (2020) 72-82.
[15] Alex, D.S. & Wahi, A. 2014. BFSD: Background subtraction frame differenc algorithm for moving object detection and extraction. Journal of Theoretical & Applied Information Technology 60(3): 623-628.
[16] Muis, Saludin. 2012. Prinsip Kerja LCD dan Pembuatannya (Liquid Crystal Display). Graha Ilmu : Yogyakarta.
[17] Leon, Alexandro. Makalah Komputer Speaker. Teknik Mesin. Atma Jaya Makasar.
[18] Liantoni Febri, Sukmagautama Coana, Myrtha Risalina. 2020. Increased Mammogram Image Contrast Using Histogram Equalization And Gaussian In The Classification Of Breast Cancer. Journal of Information Technology and Computer Engineering (JITCE). Vol. 04 No.01 (2020) 40-44.
[19] Bharti, T. Tejinder. 2013. Background Subtraction Techniques-Review. International Journa of Innovative Technology and Exploring Engineering, Vol. 2, Issue 3, Hal. 166-168.
[20] Hartoto, Pribadi. Tanpa Tahun. Sistem Deteksi Kecepatan Kendaraan Bermotor pada Real Time Traffic Information System. Institut Teknologi Sepuluh November.
[21] Lazuardi, R. Arif Firdaus. 2014. Perhitungan kendaraan Bergerak Berbasis Algoritma Backgroung Subtraction Menggunakan Metode Gaussian Mixture Model. Tugas Akhir. Jurusan Matematika ITS.
[22] Lugianti, Indah. 20.Deteksi Kecepatan Kendaraan Bergerak Berbasis Video Menggunakan Metode Frame Difference. Seminar Nasional Teknologi Terapan Berbasis Kearifan Lokal. Hal 324-331. ISSBN : 978-602-71928-1-2.
[23] N. Singla. 2014. Motion Detection Based on Frame Difference Method. International Journal of Information & Computation Technology, Vol. 4, No. 15, pp. 1559-1565.
[24] P, L. M. 2014. Real Time Motion Detection Using Background Subtraction Method and Frame Difference. International Journal of Science and Research (IJSR), 3(6), 1857-1861.
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