KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Vol. 8 No. 1 (2022): Kalbisiana

Pengembangan Model Pendeteksian Gambar Rambu Lalu Lintas dengan Metode Faster R-CNN dengan Library Tensorflow

Christian Sanjaya (Institut Teknologi dan Bisnis Kalbis)
Henri Septanto (Institut Teknologi dan Bisnis Kalbis)

Article Info

Publish Date
11 Jul 2022

Abstract

This study aims to develop a machine learning model to detect blocked traffic signals using the faster R-CNN method. Traffic signal detection is the most important part of a traffic unit. To solve this problem, the detection method relies on deep learning. The method used in this study is an image processing technique in which there is a faster R-CNN using additional stages of the search process. This research resulted in the development of a traffic light image detection model using the faster R-CNN method with a tensorflow library of traffic sign detection.

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Journal Info
KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Website

Abbrev

kalbisiana

Publisher

UNIVERSITAS KALBIS

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

Description

KALBISIANA Jurnal Sains, Bisnis dan Teknologi adalah jurnal akses terbuka akademik yang bertujuan untuk mempromosikan integrasi sains, bisnis dan teknologi. Fokusnya adalah menerbitkan makalah tentang sains, bisnis dan teknologi. Makalah yang dikirimkan akan ditinjau oleh komite teknis jurnal. Semua ...