Expanded Study for Automated Interpretation of Culvert Inspection Videos Using Artificial Intelligence and Computer Vision
Background Culverts are buried and often hard to access, making traditional visual inspection challenging. To address these challenges, the use of digital video inspections by deploying cameras has emerged as a valuable tool in assessing culvert conditions. However, reviewing and interpreting the digital video from culvert inspections can be labor-intensive and requires highly trained personnel. … Read more