Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : International Journal Engineering and Applied Technology (IJEAT)

Application Of Running Text On A 16x32 Dot Matrix Based On Arduino Uno Using Bluetooth Wildan Al-faridzi, Mochamad; Seliwati
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 7 No. 2 (2024): November 2024
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v7i2.113

Abstract

This study aims to develop a running text application using a 16x32 dot matrixmodule controlled by an Arduino Uno and connected via Bluetooth. Thesystem is designed to display moving text messages that can be easily changedthrough a mobile device. The methodology includes designing andprogramming the Arduino to control the dot matrix and implementing the HC05 Bluetooth module for wireless communication. The results indicate thatthe system can display various messages with adjustable speed and direction,as well as a quick response to commands sent via a smartphone app. Testingdemonstrates the system's reliability in various environmental conditions.This running text implementation is expected to be useful in variousapplications, such as public information, advertising, and othercommunication media. The study also contributes to the development ofinteractive systems based on microcontrollers with Bluetooth connectivity.
Design of a Traffic Counting System With Object Detection Using Rtsp Camera With Yolo Algorithm And Rest API Architecture Hari Achmad; Seliwati
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 7 No. 2 (2024): November 2024
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v7i2.114

Abstract

The design of an effective traffic counting system is crucial for improving traffic management in urban environments. This study aims to develop a traffic counting system that utilizes object detection through Internet of Things (IoT)-based cameras. The system employs the You Only Look Once (YOLO) algorithm for real-time vehicle detection, enabling high accuracy in vehicle identification and counting. In this design, a REST API architecture is implemented to ensure efficient data communication between the detection and storage modules, allowing for flexible and scalable data retrieval and analysis. Test results show that this system can provide quick and accurate information regarding traffic flow under various conditions. Thus, this research makes a significant contribution to the development of smart city technology and provides a useful tool for traffic analysis and decision-making.