Implementasi Canny Edge Detection Pada Aplikasi Pendeteksi Jalur Lalu Lintas

Authors

  • Ratna Salkiawati Universitas Bhayangkara Jakarta Raya, Jakarta
  • Allan Desi Alexander Universitas Bhayangkara Jakarta Raya, Jakarta
  • Hendarman Lubis Universitas Bhayangkara Jakarta Raya, Jakarta

DOI:

https://doi.org/10.30865/mib.v5i1.2502

Keywords:

Computer Vision, Sensor, Image Processing, Traffic, Safety

Abstract

Based on the traffic accident report, it was found that there were 41,771 (Forty-one thousand seven hundred and seventy-one) incidents caused by disorderly drivers. (POLRI, 2018). One of these disorders is by driving a motorized vehicle outside the traffic lane. In this study, researchers developed computer vision using sensor methods and image processing. The stages in computer vision are the image acquisition process, the image segmentation process, and the image understanding process. This study aims to develop an application using computer vision to warn drivers of disorderly traffic or to increase the alertness of motorized vehicle drivers by detecting the condition of the driver's path. It is hoped that this research will provide a sense of security for motorized vehicle drivers, as well as provide applications that are expected to increase driver awareness to avoid traffic accidents

Author Biographies

Ratna Salkiawati, Universitas Bhayangkara Jakarta Raya, Jakarta

Fakultas Ilmu Komputer, Program Studi Ilmu Informatika

Allan Desi Alexander, Universitas Bhayangkara Jakarta Raya, Jakarta

Fakultas Ilmu Komputer, Program Studi Ilmu Informatika

Hendarman Lubis, Universitas Bhayangkara Jakarta Raya, Jakarta

Fakultas Ilmu Komputer, Program Studi Ilmu Informatika

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Published

2021-01-22

Issue

Vol. 5 No. 1 (2021): Januari 2021

Section

Articles

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