No abstract

Objectives:The proposed research work detects road cracks in a given set of images. In addition, it identifies the longitudinal type of crack in given crack image. Methods: The study mainly focuses on implementing a road crack detection technique using Convolutional Neural Networks. Findings: The proposed model is able to distinguish between crack and non-crack images and also able to classify the longitudinal crack from other given crack images. Novelty: Proposed road crack detection technique provides high accuracy compared to earlier standard techniques.