Sholihat Briliana Marshush, . (2025) IMPLEMENTASI YOLOv8 UNTUK MENDETEKSI GANJIL GENAP PLAT NOMOR KENDARAAN RODA EMPAT DI JALAN PANGLIMA POLIM. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The Electronic Traffic Law Enforcement (ETLE) system is a modern solution for traffic monitoring in Indonesia, but it still faces limitations in recognizing license plates under varying lighting conditions. This research develops a license plate detection system using the YOLOv8 algorithm integrated with Optical Character Recognition (OCR) and a graphical user interface (GUI) built with Streamlit. The method involves object detection using YOLOv8, character recognition with OCR, license plate format validation based on Indonesian regulations, and odd-even classification. The system displays detection results visually through bounding boxes, OCR-extracted text, and a summary table. Testing wish the system accurately detects and reads license plates during both daytime and nighttime. All GUI features function properly, supporting automatic and efficient license plate recognition.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2110511139] [Pembimbing: Neny Rosmawarni] [Penguji 1: Widya Cholil] [Penguji 2: Muhammad Panji Muslim] |
| Uncontrolled Keywords: | YOLOv8, OCR, license plate detection, GUI, odd-even classification, ETLE |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | SHOLIHAT BRILIANA MARSHUSH |
| Date Deposited: | 05 Aug 2025 08:14 |
| Last Modified: | 05 Aug 2025 08:14 |
| URI: | http://repository.upnvj.ac.id/id/eprint/37635 |
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