UAVs and Machine Learning Power Next-Level Bridge Inspection System

With a combination of uncrewed aerial vehicles (UAVs), innovative computer image computing and machine learning models, researchers at Colorado State University (CSU), a member of the Center for Transformative Infrastructure Preservation and Sustainability (CTIPS) led by Region 8 North Dakota State University, are developing new ways to inspect bridges. Their system will assure that bridges are safe for travelers and will guide road managers in selecting optimum cost-effective repair and maintenance techniques.

The system will provide a cost-effective alternative to current approaches that involve the placement of sensors and cables, or the use of “snooper” trucks to allow personnel to inspect the underside of bridges. Those approaches may disrupt traffic and put inspection personnel at risk. The Federal Highway Administration (FHWA) mandates State departments of transportation to conduct biannual bridge inspections on more than 600,000 bridges across the country. The typical cost of a routine bridge inspection is between $4,500 and $10,000.