Repository logo
Communities & Collections
All of DSpace
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Zamora Medina Jarod Vinicio"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • No Thumbnail Available
    Item
    Sistema para el monitoreo del tráfico vehicular y la contaminación auditiva mediante el uso de sensores inalámbricos e inteligencia artificial
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2025-02) Zamora Medina Jarod Vinicio; Guamán Molina Jesús Israel
    This project develops an intelligent monitoring system for vehicular traffic and noise levels on Los Chasquis Avenue using embedded processing technologies and artificial intelligence. The methodology is structured into four main stages. In the first stage, data is collected using a video camera and a MAX9814 audio sensor connected to an ESP32. The audio signal is transmitted to a Jetson Nano, where joint video and audio processing is performed. The second stage implements the YOLOv8x object detection model for accurate counting and classification of vehicles based on video data. Simultaneously, the audio analysis measures noise levels in decibels and classifies them into categories such as low, medium, or high. In the third stage, the processed data, including the number of vehicles, noise levels, and registration dates, is sent and stored in a MySQL database via the embedded system. Finally, in the fourth stage, the results are visualized through an interface developed with Node-RED, enabling the analysis of traffic and noise patterns over time. This functionality facilitates the planning and management of vehicular transit as well as the evaluation of auditory contamination in the area. The results demonstrate that the system provides precise and efficient analysis, delivering relevant data to optimize mobility and reduce acoustic impact in urban areas.

DSpace software copyright © 2002-2025 LYRASIS

  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify