Sistem Pengukur Kecepatan Kendaraan Berbasis Pengolahan Video
Satrio Sani Sadewo(1*), Raden Sumiharto(2), Ika Candradewi(3)
(1) 
(2) Department of Computer Science and Electronics, Universitas Gadjah Mada
(3) Department of Computer Science and Electronics, Universitas Gadjah Mada
(*) Corresponding Author
Abstract
System testing the measurement validation, calculate the speed after being validated, and the influence of light intensity. The speed validation process uses average speed of early three frames speed as the reference for the speed measurement in the next frame. The average speed accuracy of 3 frames early gives a percentage error about 1,92% - 15,75%. When validation is performed on the entire reading frame of video, it produces an error range 1,21% - 21,37%. The system works well in the morning, afternoon, and evening conditions with light intensity about 600-1900 lux. While at night with 0-5 lux light intensity range, the system can’t work properly.
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[1]Raharjo, J., Susatio, E., dan Tirtoasmono, I. I., 2012, Perancangan dan Prototyping Sistem Pemantau Lalu Lintas Berbasis Video Processing dalam Mendukung Intelligent Transportation System, Prosiding InSINas, hal. 20-24, Bandung
[2] Solichin, A., dan Harjoko, A., 2013, Metode Background Subtraction untuk Deteksi Objek Pejalan Kaki pada Lingkungan Statis, Seminar Nasional Aplikasi Teknologi Informasi (SNATI), hal. B-1 – B-6, Yogyakarta.
[3] Zheng, Z., Wang, X., Zhou, G., dan Jiang, L., 2012, Vehicle Detection Based On Morphology From Highway Aerial Images, IEEE International Conference on Signal and Image Processing Application pp. 5997-6000, Sichuan, China.
[4] Braedski, G. dan Kaehler, A., 2008, Learning OpenCV, Gravenstein Highway North : O'Reilly Media, Inc.
[5] Awaludin, L., 2012, Pemrosesan Video Pendeteksi Kecepatan dan Ketinggian Aliran Lahar Dingin Pendukung Sistem Peringatan Dini, Skripsi, Jurusan Ilmu Komputer dan Elektronika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Gadjah Mada, Yogyakarta.
[6] Rohman, M., 2011, Analisa Gerakan Tangan Manusia pada Video Digital, Skripsi, Jurusan Teknik Elektro, Fakultas teknik Industri, Institut Teknologi Sepuluh November, Surabaya.
DOI: https://doi.org/10.22146/ijeis.7641
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