Putra, Rezki Dwi
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Identifikasi Plat Kendaraan Berbasis Aplikasi Python Putra, Rezki Dwi; Suwardoyo, Untung
Jurnal Sintaks Logika Vol. 4 No. 2 (2024): Mei 2024
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jsilog.v4i2.3101

Abstract

Detecting motor vehicle plates is currently manual and does not utilize technology to determine the identity of vehicle ownership. This research aims to test an application that can identify the identity of vehicle ownership. The type of research used is descriptive, using a Python-based programming application. The research results show that the plate detection accuracy rate is 80% for reading objects at a distance of 10 cm to 40 cm.