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All Journal JAIS (Journal of Applied Intelligent System) Jurnal Algoritma
Suhendar, Heri
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Computer Science & IT

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Journal : JAIS (Journal of Applied Intelligent System)

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Road Crack Detection using Yolo-V5 and Adaptive Thresholding Suhendar, Heri
(JAIS) Journal of Applied Intelligent System Vol. 8 No. 3 (2023): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i3.9437

Abstract

Road crack detection is a critical aspect of infrastructure maintenance, ensuring the safety and durability of roadways. This study presents an innovative approach leveraging image processing techniques, YOLO-V5 model, and adaptive thresholding for efficient and accurate road crack detection. The utilization of adaptive thresholding enables the system to handle complex lighting variations and diverse road textures, enhancing the precision of crack identification. Integrating the YOLO-V5 model further facilitates real-time detection and precise localization of road crack regions, contributing to effective and timely maintenance strategies. The research findings underscore the robustness and efficacy of the proposed methodology, emphasizing its potential for enhancing road safety and durability. 
Co-Authors Almunawar, Moh. Rifki Baswardono, Wiyoga Nur’aini, Shifa SUKIRNO