Road Guard: AI-Powered Road Damage Detection and Reporting System

Potholes are a major problem on Indian roads, creating serious risks for drivers and potentially damaging vehicles. Unfortunately, identifying and reporting these hazards often still depends on outdated methods like manual inspections or public complaints. These traditional practices are not only slow and labor-intensive, but they're also vulnerable to human error, which can lead to inconsistent responses. This is especially problematic in busy urban areas where timely maintenance is essential. To address this issue, we propose Road Guard, an innovative AI-powered solution for automatic road damage detection and reporting. Using advanced computer vision techniques and the YOLO v4 model, Road Guard can quickly identify potholes in real-time. It employs a high-definition camera combined with AMD Kria 260 hardware and GPS for accurate location tagging. Once a pothole is detected, the information is uploaded to a cloud server and made available through a user-friendly mobile app for both citizens and road maintenance teams. By minimizing reliance on human efforts, Road Guard provides a smart, efficient alternative to traditional inspection methods. This not only ensures quicker repairs but also enhances road safety for everyone on the road.

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Publication Details

Journal
International Research Journal on Advanced Engineering and Management (IRJAEM)
Published
2025-05-22
DOI
https://doi.org/10.47392/irjaem.2025.0301
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
0.00
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article

Road Guard: AI-Powered Road Damage Detection and Reporting System

V Mallikarjuna Reddy, N. Prakash, Ch. Rami Reddy, M. Jyothi et al.
International Research Journal on Advanced Engineering and Management (IRJAEM)
Infrastructure Maintenance and Monitoring
article

Road Guard: AI-Powered Road Damage Detection and Reporting System

V Mallikarjuna Reddy, N. Prakash, Ch. Rami Reddy, M. Jyothi, T. Revanth
article en

Abstract

Potholes are a major problem on Indian roads, creating serious risks for drivers and potentially damaging vehicles. Unfortunately, identifying and reporting these hazards often still depends on outdated methods like manual inspections or public complaints. These traditional practices are not only slow and labor-intensive, but they're also vulnerable to human error, which can lead to inconsistent responses. This is especially problematic in busy urban areas where timely maintenance is essential. To address this issue, we propose Road Guard, an innovative AI-powered solution for automatic road damage detection and reporting. Using advanced computer vision techniques and the YOLO v4 model, Road Guard can quickly identify potholes in real-time. It employs a high-definition camera combined with AMD Kria 260 hardware and GPS for accurate location tagging. Once a pothole is detected, the information is uploaded to a cloud server and made available through a user-friendly mobile app for both citizens and road maintenance teams. By minimizing reliance on human efforts, Road Guard provides a smart, efficient alternative to traditional inspection methods. This not only ensures quicker repairs but also enhances road safety for everyone on the road.

International Research Journal on Advanced Engineering and Management (IRJAEM)Vol. 3(05)
Mediciti Institute of Medical Sciences (IN), Birla Institute of Technology and Science - Hyderabad Campus (IN)
Openalex Percentile: Top 88%
Infrastructure Maintenance and Monitoring
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Road Guard: AI-Powered Road Damage Detection and Reporting System — V Mallikarjuna Reddy, N. Prakash, et al. · International Research Journal on Advanced Engineering and Management (IRJAEM) (2025) | TGRS Research Map | TGRS