A Low-Cost, Highly Deployable Traffic Infrastructure Monitoring Solution based on Machine Vision

Xinyu He; Hailang Huang; Jinhan Zhang; Kaien Zhang

doi:10.6919/ICJE.202505_11(5).0051

A Low-Cost, Highly Deployable Traffic Infrastructure Monitoring Solution based on Machine Vision

Xinyu He, Hailang Huang, Jinhan Zhang, Kaien Zhang

International Core Journal of Engineering, (2025), Vol.11, No.5, pp.444-451

Published: April 22, 2025

DOI: 10.6919/ICJE.202505_11(5).0051

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Abstract

This study presents an innovative machine vision-based solution to address the challenges of traffic infrastructure monitoring. The proposed system integrates multiple modules to create a low-cost, highly deployable monitoring device and system. It significantly enhances monitoring efficiency and accuracy, offering a new perspective for the development of traffic monitoring technologies. Traditional methods, which mainly rely on manual inspections and fixed sensor networks, suffer from issues such as high costs, limited flexibility, and low timeliness. By introducing machine vision technology and deep learning algorithms, the system enables automatic crack detection and provides a cost-effective, highly deployable monitoring solution. The study provides a new path for advancing traffic infrastructure monitoring technologies.

Keywords: Machine Vision; Traffic Infrastructure Monitoring; Low-Cost; High Deployability; Intelligent Early Warning.

APA Citation: Xinyu He, Hailang Huang, Jinhan Zhang, Kaien Zhang (2025). A Low-Cost, Highly Deployable Traffic Infrastructure Monitoring Solution based on Machine Vision. International Core Journal of Engineering, 11(5), 444-451. https://doi.org/10.6919/ICJE.202505_11(5).0051

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