The Leader in Automated Bridge
Deck Inspection Technology

Take the guesswork out of assessing
bridge deck delamination.

A user-friendly platform that combines the most advanced computer vision and machine learning,
to provide the most accurate and reliable bridge inspections.

Save Time

Assess bridge deck delamination
faster with optimized
UAS flight planning and
AI-driven data analysis.

Lower Costs

Reduce labor costs and allocate budgets with more confidence, all while decreasing traffic and economic impacts.

Optimize Accuracy

Utilize advanced image stitching and temporal modeling to deliver accurate data and bridge deck delamination assessments.

Improve Safety

Drone-based data collection means less time bridge inspectors spending traffic inspecting bridges.

Our Solution

Flight Planning

Our end-to-end automated solution optimizes autonomous drone flight planning and imaging to build a digital record of bridges.

Data Analysis

By analyzing thermal anomalies over time, the platform uses advanced Computer Vision Models to calculate the extent of bridge deck delamination.

Insights &
Recommendations

After robust image processing and analysis, the platform produces clearly understandable and actionable reports, for maintenance and capital allocation.

Learn how we can fast track your bridge deck
delamination inspection projects.

The Case for Automated
Bridge Inspection

Intelligent Drones

Targeted Data
Capture

Physics-based
Modeling

Advanced Signal
Processing

Full automation of
bridge inspection
process

The problem – aging infrastructure and dangers, time-consuming work conditions.

According to a 2019 study from the American Road & Transportation Builders Association, the U.S. has over 47,000 structurally deficient bridges. Traditionally, the collection of data to determine the location and severity of the structural deficiencies has required ground crews and expensive lane closures, creating hazards for drivers, road workers, and inspectors. The standard approach is costly due to the required expenditures on traffic control and other personnel, as well as the broader economic impact of roadway closures.

UAV technology is part of the solution.

The use of unmanned aerial vehicles (UAV) or drones to perform the image capture and data collection has revolutionized how bridge inspections take place. But UAVs have their own inefficiencies and once the images have been captured, there are thousands of images to analyze which is a manual, time-consuming process.

Advanced data aggregation and machine learning complete the picture.

Optimization starts with intelligent flight planning to improve the usability of the data captured. Then, to provide an accurate assessment of bridge deck delamination, images captured by drones must be stitched together to present a consistent angle and depth. Objects such as cars and people need to be removed and thermal images must be examined over time. Advanced machine learning and artificial intelligence models must be applied to precisely assess bridge deck delamination. Finally, the information needs to be presented in a clear and concise way, so that those in charge of prioritizing budgets can understand, explain, and act on the assessment the model provides.

Pioneering the Best in AI and Infrastructure
Inspection Technology