Implementasi Canny Edge Detection Pada Aplikasi Pendeteksi Jalur Lalu Lintas

Autor:	Hendarman Lubis, Allan Desi Alexander, Ratna Salkiawati
Rok vydání:	2021
Předmět:	Alertness Traffic accident Computer science Real-time computing Process (computing) Image acquisition Image processing Image segmentation Motorized vehicle
Zdroj:	JURNAL MEDIA INFORMATIKA BUDIDARMA. 5:164
ISSN:	2548-8368 2614-5278
Popis:	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
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9327a96d365bfef7102377233cdfcde4 https://doi.org/10.30865/mib.v5i1.2502 Zobrazit plný text záznamu