Implementation of Computer Vision in Asphalt Damage Identification on the Trans-Sumatera Road

Soleh Darmansyah, Rika Rosnelly, Hartono

2023

Abstract

Roads are infrastructure made to facilitate land transportation in connecting one area to another. In general, roads in Indonesia use asphalt as a material in the road construction process. The cross-Sumatra route is one of the accesses that plays an important role in increasing economic progress in areas that connect areas on the island of Sumatra. The development of computer vision using various image recognition classification methods results in more accurate data accuracy. The Decission Tree and K-Nearest Neighbor methods in image recognition classification of asphalt damage can be a solution in identifying damage and measuring the area of damage through machine learning from images taken from the field. The design and implementation of making applications is continued using the Decission Tree method using python as a programming language. Asphalt damage conditions are divided into three classification categories of asphalt damage, namely mild, moderate and severe. The results of the identification can be used as a report or field survey of the damage conditions that occur on the Sumatra route. The accuracy value of the training is carried out using a dataset of 560 images. The Decission Tree method can get light damage 99.3damage, the accuracy value is 99.3for light damage is 79.12accuracy from Machine learning carried out in this study show the highest accuracy value obtained from the Decission Tree method in identifying road damage.

Paper Citation

in Harvard Style

Darmansyah S., Rosnelly R. and Hartono. (2023). Implementation of Computer Vision in Asphalt Damage Identification on the Trans-Sumatera Road. In Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD; ISBN 978-989-758-678-1, SciTePress, pages 102-106. DOI: 10.5220/0012444500003848

in Bibtex Style

@conference{icaisd23,
author={Soleh Darmansyah and Rika Rosnelly and Hartono},
title={Implementation of Computer Vision in Asphalt Damage Identification on the Trans-Sumatera Road},
booktitle={Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD},
year={2023},
pages={102-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012444500003848},
isbn={978-989-758-678-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD
TI - Implementation of Computer Vision in Asphalt Damage Identification on the Trans-Sumatera Road
SN - 978-989-758-678-1
AU - Darmansyah S.
AU - Rosnelly R.
AU - Hartono.
PY - 2023
SP - 102
EP - 106
DO - 10.5220/0012444500003848
PB - SciTePress