Defect Detection Using Computer Vision
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Metrics
Completed 800,000 pipe image annotations for urban infrastructure, contributing to a comprehensive mapping effort for enhanced efficiency.
Results
Empowering Proactive Maintenance: Our annotations drive machine learning models, enabling swift anomaly detection and repair in underground sewer pipes, ensuring resilient urban infrastructure.
Approach
Enhancing Sewer Insight: We annotate anomalies in sewer images using bounding boxes and polygons. Our categorization includes precise identification of faults—cracks, fractures, roots, and more—for a comprehensive understanding of sewer conditions.