Identification of failures in flexible pavement using Machine Learning, Cajamarca 2022 (#326)
Read ArticleDate of Conference
July 19-21, 2023
Published In
"Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development"
Location of Conference
Buenos Aires
Authors
Romero Cueva, Yoner Jaime
Goicochea Limay, Kevin Junior Dagoberto
Quiliche Marín, Lizeth Karina Del Rosario
Quevedo Porras, Violeta Zarela
Martinez Zapana, Cesar Augusto
Abstract
For many years, the detection of failures in flexible pavement was developed with traditional methods such as: PCI, VIZIR and observation, however, today new technologies such as the use of AI (artificial intelligence) have been developed due to their efficiency and precision. through deep learning (Machine Learning), which is related to image processing, to achieve object detection and its respective analysis. The purpose of the research is to use AI, through the YoloV5 software to fulfill this purpose, taking the Evitamiento Sur road as the study area, in the section between the streets Óvalo Musical (Jr. Atahualpa) and Avenida Industrial, this has a scope Applicative and of an experimental nature, a non-probabilistic sample was shown, based on the two most common faults present in flexible pavement: crocodile and fissure.