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Automatic recognition system for traffic signs in Ecuador based on faster R-CNN with ZFNet
(2022)
This research presents an application of the Deep Learning technology in the development of an automatic system detection of traffic signs of Ecuador. The development of this work has been divided into two parts, i) in ...
Automation of counting and analysis of biological samples through computer vision and telecommunication technologies
(2023)
This document addresses a study that aims to simplify and automate the counting and analysis of biological samples, specifically pathogens cultivated in Petri dishes. The study focuses on the use of computer vision techniques ...
Traffic sign detection and recognition using YOLO object detection algorithm: A systematic review
(2024)
Context: YOLO (You Look Only Once) is an algorithm based on deep neural networks with real-time object detection capabilities. This state-of-the-art technology is widely available, mainly due to its speed and precision. ...