DESIGN AND IMPLEMENTATION OF AN APPLICATION FOR THE DETECTION AND RECOGNITION OF SPEED LIMIT SIGNS
DOI:
https://doi.org/10.59540/tech.vi5.115Keywords:
Image and video processing, Velocity signal, OpenCV, Machine Vision, CimgAbstract
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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Copyright (c) 2025 Roberto Alejandro Larrea Luzuriaga, Cristina Alejandra Orozco Cazco

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