%0 Thesis
%9 Skripsi
%A Kumas, Nurmin
%A Chairunnas, Andi
%A Ardiansyah, Deden
%A Universitas Pakuan,
%A Fakultas Matematika dan Ilmu Pnegetahuan Alam,
%A Program Studi Ilmu Komputer,
%B Fakultas Matematika dan Pengetahuan Alam
%D 2024
%F eprintsunpak:8868
%I Universitas Pakuan
%P 19
%T Model Sistem Pengenalan Rambu Lalu Lintas Menggunakan Raspberry PI Berbasis Internet Things
%U http://eprints.unpak.ac.id/8868/
%X 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