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The "Revolutionizing Road Safety: AI-Powered Road Defect Detection for Safer Roads" project aims to revolutionize road safety and infrastructure management by equipping patrolling vehicles with Line Scanner Cameras. These cameras enable real-time identification of road defects. This initiative addresses the labor-intensive and error-prone nature of manual defect detection in critical infrastructure. Natural disasters further compound this issue, necessitating extensive inspections for structural integrity. The integration of image processing techniques and machine learning methods offers a powerful solution, allowing for the analysis of captured images to discern potential defects. A comprehensive review of ten meticulously selected research articles spanning the past decade highlights One of the most encouraging automated methods for identifying cracks, emphasizing the potential of this AI-powered system to streamline road maintenance and repair efforts while bolstering road safety in worldwide.
Paramasivam et al. (Fri,) studied this question.
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