Record Details

Deteksi Sampah pada Real-time Video Menggunakan Metode Faster R-CNN

Applied Technology and Computing Science Journal

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Field Value
 
Title Deteksi Sampah pada Real-time Video Menggunakan Metode Faster R-CNN
 
Creator Rahman, M Fadhilur
Bambang, Bambang
 
Subject Real-time
Detection
Faster R-CNN
 
Description Garbage is a never-ending problem in human life. Many of the problems caused by waste actually stem from human ignorance of the environment. Several solutions have been proposed to solve and avoid problems from the waste, one of which is making waste detection that can be applied directly to certain devices. This study aims to apply an object detection method in the form of Faster R-CNN to detect and classify at a speed that allows computers to detect trash objects directly through real-time video. The test results in this study indicate the method used can detect trash objects in 100 images with an accuracy value of 74%, and to detect real-time video with video frame rates in the range of 1 frame per second (fps).
 
Publisher Unusa Press
 
Date 2021-03-08
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://journal2.unusa.ac.id/index.php/ATCSJ/article/view/1846
10.33086/atcsj.v3i2.1846
 
Source Applied Technology and Computing Science Journal; Vol. 3 No. 2 (2020): December; 117-125
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER; Vol 3 No 2 (2020): December; 117-125
2621-4474
2621-4458
10.33086/atcsj.v3i2
 
Language eng
 
Relation https://journal2.unusa.ac.id/index.php/ATCSJ/article/view/1846/1300
 
Rights Copyright (c) 2021 M Fadhilur Rahman fadhil, Bambang
https://creativecommons.org/licenses/by-sa/4.0