Corrosion Detection

Corrosion detection research focuses on developing automated and efficient methods for identifying and mapping corrosion in various materials and structures, primarily to improve safety and reduce maintenance costs. Current efforts leverage computer vision techniques, including deep learning models like convolutional neural networks and attention mechanisms, often integrated with LiDAR or multi-sensor data fusion to create detailed 3D maps of corrosion. These advancements enable faster, more accurate assessments compared to traditional methods, impacting fields like infrastructure inspection, industrial quality control, and pipeline safety.