RoadGuardian AI: A Smart Framework for Automated Road Damage Detection using Computer Vision and Predictive Alert Generation

Amarata Karbhari; P Sripalreddy

RoadGuardian AI: A Smart Framework for Automated Road Damage Detection using Computer Vision and Predictive Alert Generation

June 2026

Vol-12, Issue-3

Paper ID: 28606

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science and Engineering

Keywords

: Computer Vision Deep Learning YOLO CNN OpenCV Road Damage Detection Flask Pothole Detection Dashboard Monitoring Predictive Alert Generation Pavement Distress Transportation Analytics Generative AI Intelligent Infrastructure

Abstract

RoadGuardian AI is an intelligent transportation framework developed for automated road damage detection and predictive alert generation through the integration of Computer Vision, Deep Learning and Artificial Intelligence technologies. The proposed system utilizes OpenCV for image preprocessing, YOLO for roadway anomaly localization and CNN architectures for pavement distress classification. The framework is capable of identifying potholes, cracks and surface deterioration with substantial predictive accuracy and operational efficiency. In addition to damage detection, the system incorporates a Dashboard for infrastructure monitoring, an Assistant for transportation guidance and a Knowledge Center for roadway awareness. RoadGuardian AI enhances transportation safety, improves maintenance responsiveness and supports sustainable infrastructure management through intelligent computational analytics.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Amarata Karbhari	Visvesvaraya technological university, belagavi
2	P Sripalreddy	Visvesvaraya technological university, belagavi

How to Cite

Use the following formats to cite this article in your research.

APA Style

Karbhari, Amarata & Sripalreddy, P (2026). RoadGuardian AI: A Smart Framework for Automated Road Damage Detection using Computer Vision and Predictive Alert Generation. International Journal of Advance Research and Innovative Ideas In Education, 12(3), 1999-2002.

MLA Style

Karbhari, Amarata, and P Sripalreddy. "RoadGuardian AI: A Smart Framework for Automated Road Damage Detection using Computer Vision and Predictive Alert Generation." International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 3, 2026, pp. 1999-2002.

IEEE Style

Amarata Karbhari and P Sripalreddy, "RoadGuardian AI: A Smart Framework for Automated Road Damage Detection using Computer Vision and Predictive Alert Generation," International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 3, pp. 1999-2002, 2026.

Vancouver Style

Karbhari Amarata, Sripalreddy P. RoadGuardian AI: A Smart Framework for Automated Road Damage Detection using Computer Vision and Predictive Alert Generation. International Journal of Advance Research and Innovative Ideas In Education. 2026;12(3):1999-2002.

Harvard Style

Karbhari, Amarata & Sripalreddy, P (2026) 'RoadGuardian AI: A Smart Framework for Automated Road Damage Detection using Computer Vision and Predictive Alert Generation', International Journal of Advance Research and Innovative Ideas In Education, 12(3), pp. 1999-2002.

Chicago Style

Karbhari, Amarata and P Sripalreddy. "RoadGuardian AI: A Smart Framework for Automated Road Damage Detection using Computer Vision and Predictive Alert Generation." International Journal of Advance Research and Innovative Ideas In Education 12, no. 3 (2026): 1999-2002.

Turabian Style

Karbhari, Amarata and P Sripalreddy. "RoadGuardian AI: A Smart Framework for Automated Road Damage Detection using Computer Vision and Predictive Alert Generation." International Journal of Advance Research and Innovative Ideas In Education 12, no. 3 (2026): 1999-2002.