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All Journal Journal of Technology Research in Information System and Engineering
Maria Angelica Chandrawan
Unknown Affiliation
Computer Science & IT

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Rancang Bangun Sistem Manajemen Palang Parkir AI-IoT Otomatis Menggunakan YOLO & OCR Maria Angelica Chandrawan; Edgar Tanamal; Antonius Indra Dharma Prasetya; Kasmir Syariati; Citra Suardi
JTRISTE Vol 10 No 1 (2023): JTRISTE
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/jtriste.v10i1.389

Abstract

Humans and civilization cannot be separated from technological developments. The Internet of Things (IoT) is one type of developing technology that can help and meet everyday needs. The IoT can be used in various fields. One of them in the field of transportation is the parking service system. The problem that is often encountered when visiting a special place such as a mall, apartment, or offices on holidays or holidays is that drivers find it difficult to find a parking space. Based on this description, in this study we designed an automated AI-IoT-based crossbar management system using YOLO and OCR. From this study we obtained satisfactory results regarding the use of YOLOv4 and OCR to detect vehicle plates with a high accuracy rate of 98.75%.
Co-Authors Antonius Indra Dharma Prasetya Citra Suardi Edgar Tanamal Kasmir Syariati