Zebra Cross Violation Detection with YOLOv9: A Novel Approach for Traffic Regulation in Indonesia - Dalam bentuk pengganti sidang - Artikel Jurnal
MUHAMMAD NAJMI KAMIL
Informasi Umum
Kode
25.04.443
Klasifikasi
000 - General Works
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Computer Vision
Dilihat
133 kali
Informasi Lainnya
Abstraksi
Technological advancements in zebra cross-violation detection are necessary to address traffic rule violations in Indonesia, especially zebra cross violations. The You Only Look Once (YOLO) algorithm has been effective for detecting objects in various situations. The objective of this research is to focus on detecting zebra cross violation using YOLOv9, the improved accuracy and efficiency from earlier versions of YOLO. Consisting of two models to detect violations of the zebra crossing. The first model, a segmentation model YOLO, is used for zebra cross localization, while the second model is pretrained YOLO detects the vehicles. The results of these two models are used for calculations in considering violations by drivers. Two datasets were used in this research. One of the datasets has 1100 images of zebra crosses, while the other comprises 100 surveillance videos from CCTV in Yogyakarta, Indonesia, for testing. The findings from this study indicate that the approach enables effective and efficient detecti
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | MUHAMMAD NAJMI KAMIL |
| Jenis | Perorangan |
| Penyunting | Gamma Kosala |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika |
| Kota | Bandung |
| Tahun | 2025 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
