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p-Index From 2021 - 2026
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All Journal International Journal of Informatics and Communication Technology (IJ-ICT)
Preety Singh
VNR Vignana Jyothi Institute of Engineering and Technology
Computer Science & IT

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Smart road maintenance: real-time surface damage detection and mapping with YOLOv8 Preety Singh; Bommireddipalli Likhitha; Kolla Sahithi; Donthireddy Ganesh Reddy; Dammalapati Keerthana; Kolli Prasanna Adarsh
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v15i3.pp1331-1339

Abstract

The degradation of road surfaces presents considerable obstacles for the management of urban infrastructure. This study presents a deep learning model based on YOLOv8 that can find many types of road faults, like potholes, longitudinal cracks, transverse cracks, and alligator cracks, using pictures, video streams, and live webcam feeds. The suggested system can find things with an accuracy of 91.2%, and the confidence levels range from 60% to 95%. Streamlit has been utilized to develop a web interface that makes it easier to use in real life. It makes it easy for users to choose inputs and provides outputs with notes and boundary boxes. GPS makes it possible to find problems with great accuracy, and a graphical dashboard presents damage categories and confidence levels in real time. Road maintenance is considerably more efficient with automated detection, location mapping, and easy-to-understand visualization. It is also easier to keep a check on smart municipal infrastructure. The results demonstrate that using computer vision and geospatial analytics together could make it easier to automatically check road conditions and make better decisions about how to run a city.
Co-Authors Bommireddipalli Likhitha Dammalapati Keerthana Donthireddy Ganesh Reddy Kolla Sahithi Kolli Prasanna Adarsh