Jurnal Informatika Teknologi dan Sains (Jinteks)
Vol 4 No 4 (2022): EDISI 14

DETEKSI KENDARAAN PADA LALU LINTAS MENGGUNAKAN ARTIFICIAL INTELLIGENCE UNTUK MENDUKUNG DENPASAR SMART CITY

A.A Istri Ita Paramitha (STMIK Primakara)
I Nyoman Mahayasa Adiputra (Universitas Bali Internasional)



Article Info

Publish Date
27 Nov 2022

Abstract

In order to support Denpasar City towards a Smart City, one of the factors that must be fulfilled is the implementation of Smart Infrastructure. Smart Infrastructure includes the development of IT-based telecommunication networks, transportation, information systems, and management systems. In order to support Denpasar City towards a Smart City, this research will focus on Smart Infrastructure technological innovation. By utilizing artificial intelligence technology to detect vehicles passing through the highway so that traffic monitoring activities can be assisted with computer-based applications. The purpose of this research is to produce an analytic dashboard that can provide traffic information quickly to the Denpasar City Transportation Agency. In this research, traffic vehicle detection will be carried out by utilizing the Tensorflow Object Detection API which has an accuracy rate above 90% based on the results of previous research in the field of Artificial Intelligence. The object used as input is a video in mp4 format which will be read with the OpenCV module. The next process is that there are three parts to be classified in a vehicle.

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Journal Info

Abbrev

JINTEKS

Publisher

Subject

Computer Science & IT Control & Systems Engineering

Description

Jurnal Informatika Teknologi dan Sains (JINTEKS) merupakan media publikasi yang dikelola oleh Program Studi Informatika, Fakultas Teknik dengan ruang lingkup publikasi terkait dengan tema tema riset sesuai dengan bidang keilmuan Informatika yang meliputi Algoritm, Software Enginering, Network & ...