Pipe Inspection

Pipe inspection aims to efficiently assess the condition of pipelines, crucial for maintaining infrastructure and preventing failures. Current research focuses on developing automated methods using various techniques, including robotic systems for internal inspection, 3D point cloud datasets for semantic segmentation of underground utilities, and machine learning models (like deep metric learning and K-Nearest Neighbors) for analyzing inspection data (e.g., video, text reports) to classify defects and predict pipe condition. These advancements offer significant potential for improving the accuracy, speed, and cost-effectiveness of pipe maintenance and repair, leading to safer and more reliable infrastructure.