OMB Individually Reported
Using Machine Learning to Automate Crack Mapping and Structural Health Monitoring
Low riskExact public inventory row
Description
Monitoring infrastructure health, particularly crack mapping in large concrete structures is highly time consuming and can be subject to the individual performing the work.
Detailed example
A workflow and method to automate crack mapping in large infrastructure imagery.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Automated crack mapping via machine learning trained on high-resolution imagery would increase the efficiency of this task and make the result more consistent.
Controls / human review
ATO: No; PIA: Not published