Kumas, Nurmin and Chairunnas, Andi and Ardiansyah, Deden (2024) Model Sistem Pengenalan Rambu Lalu Lintas Menggunakan Raspberry PI Berbasis Internet Things. Skripsi thesis, Universitas Pakuan.
![[img]](http://eprints.unpak.ac.id/style/images/fileicons/text.png) |
Text
Laporan_Skripsi_Nurmin kuma.pdf Download (2MB) |
Abstract
Traffic Sign Recognition System Model Using Raspberry Pi Based on the Internet of Things Andi Chairunnas¹, Deden Ardiansyah², Nurmin Kuma³ ¹,²,³ Department of Computer Science, Faculty of Mathematics and Natural Sciences, Universitas Pakuan, Bogor, West Java, 16143, Indonesia Abstrak This research develops a traffic sign recognition system using Internet of Things (IoT) technology with Raspberry Pi as the main processing unit. The system aims to help drivers detect traffic signs and improve road safety by providing audio descriptions of the detected signs. Using OpenCV for image processing, the system achieves 85% accuracy for clear images and 77% accuracy for blurry images, demonstrating the potential of IoT-based systems in smart driving applications. Keywords : IoT; Traffic Sign Recognition; Raspberry Pi; Computer Vision; OpenCV
| Item Type: | Thesis (Skripsi) |
|---|---|
| Subjects: | Fakultas Ilmu Pengetahuan Alam dan Matematika > Ilmu Komputer |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam > Ilmu Komputer |
| Depositing User: | PERPUSTAKAAN FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM UNPAK |
| Date Deposited: | 16 Jan 2025 02:25 |
| Last Modified: | 16 Jan 2025 02:25 |
| URI: | http://eprints.unpak.ac.id/id/eprint/8868 |
Actions (login required)
 |
View Item |