DESIGN AND IMPLEMENTATION OF AN APPLICATION FOR THE DETECTION AND RECOGNITION OF SPEED LIMIT SIGNS

Authors

  • Roberto Alejandro Larrea Luzuriaga Instituto Superior Universitario Carlos Cisneros
  • Cristina Alejandra Orozco Cazco Instituto Superior Universitario Carlos Cisneros

DOI:

https://doi.org/10.59540/tech.vi5.115

Keywords:

Image and video processing, Velocity signal, OpenCV, Machine Vision, Cimg

Abstract

An analysis was conducted on the application designed to provide a driving assistance solution for the timely detection of traffic signs, specifically speed signs, enabling a timely response by the driver. The objective of this article is to present the design, implementation, and validation of a functional application capable of detecting and recognizing speed limit signs from image or video files or a real-time video stream. The methodology used consists of four processes: image acquisition, image and video processing, sign and speed detection and control, and results visualization. The application was developed in Eclipse using C++ code, using OpenCV image and video processing libraries. Based on the results obtained from the implemented application, optimal performance was achieved, with an accuracy of almost 90% and an error rate of around 1%. In addition, detection difficulties and errors were analyzed, and processing time statistics were established in relation to the characteristics of the hardware used.

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Published

2025-12-29

How to Cite

[1]
R. A. Larrea Luzuriaga and C. A. Orozco Cazco, “DESIGN AND IMPLEMENTATION OF AN APPLICATION FOR THE DETECTION AND RECOGNITION OF SPEED LIMIT SIGNS”, TECH, no. 05, p. 10, Dec. 2025.