Pavement Crack Detection and Classification using Deep Learning Techniques

DOI

10.2991/978-94-6463-471-6_119How to use a DOI?

Keywords

Road safety; Pavement crack detection; Deep learning technique; Convolutional Neural Network; Infrastructure maintenance; Intelligent transportation systems

Abstract

Ensuring road safety is a global priority, with the prompt identification of pavement cracks playing a crucial role in preventing accidents and minimizing infrastructure damage. This study introduces an innovative approach to enhance road safety by employing deep learning techniques for the automated detection of pavement cracks. Untreated pavement cracks can result in costly repairs and pose hazards to road users. Utilizing Convolutional Neural Networks (CNNs), this method analyzing pavement images, automatically detecting crack and classifying them based on the severity levels. The accurate identification and classification of pavement cracks facilitate more effective and targeted maintenance, ultimately contributing to safer roads. This research provides a promising solution to the pressing issue of the road pavement deterioration. Images undergo preprocessing to enhance quality and eliminate noise, followed by the application of a CNN model trained on a substantial dataset of annotated road images. The CNN model excels in identifying the crack of various sizes and shapes, ensuring a high level of detection accuracy.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Shaik Yacoob
AU  - B. Sindhu
AU  - M. A. Neha Nousheen
AU  - R. Varshitha
AU  - B. Ayyappa
AU  - K. Vamsi Babu
PY  - 2024
DA  - 2024/07/30
TI  - Pavement Crack Detection and Classification using Deep Learning Techniques
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 1235
EP  - 1247
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_119
DO  - 10.2991/978-94-6463-471-6_119
ID  - Yacoob2024
ER  -