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Smart city article details

Title	Prototype Solution For Detecting And Signaling Road Pavement Defects Based On Computer Vision Techniques; [Protótipo De Solução Para Detetar E Sinalizar Defeitos Em Pavimentos Rodoviários Baseado Em Técnicas De Visão Computacional]
ID_Doc	43583
Authors	Gonçalves M.; Marques T.; Gaspar P.D.; Soares V.N.G.J.; Caldeira J.M.L.P.
Year	2023
Published	RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2023, 52
DOI	http://dx.doi.org/10.17013/risti.52.25-44
Abstract	This article presents a functional prototype to evaluate and validate the use of computer vision techniques to identify road pavement defects in the context of a smart city. A study is carried out to evaluate the performance of three convolutional neural networks, YoloV4-Tiny, SSD MobileNet and RetinaNet, applied to this scenario. Based on the results observed, the proposal and implementation process of the prototype is described, which is based on a Raspberry Pi 4 platform. The prototype is subject to validation and functional tests. Compared to the method currently used by Infraestruturas de Portugal to identify pavement defects, this approach is more agile, effective, and efficient, contributing to their rapid detection and notification. © 2023, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.
Author Keywords	Computer Vision; Convolutional Neural Networks; Defect Detection; Object Detection; Prototype; Road Pavement; Smart Cities

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