TY  - THES
PB  - Universitas Pakuan
N2  - 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
AV  - public
M1  - Skripsi
Y1  - 2024/10/08/
ID  - eprintsunpak8868
UR  - http://eprints.unpak.ac.id/8868/
A1  - Kumas, Nurmin
A1  - Chairunnas, Andi
A1  - Ardiansyah, Deden
TI  - Model Sistem Pengenalan Rambu Lalu Lintas Menggunakan Raspberry PI Berbasis Internet Things
EP  - 19
ER  -