Scan your bridge decks without closing them to traffic, for a fraction of the cost
DRONE-DRIVEN
INFRARED BRIDGE DECK CORRIDOR SCANS
Faster
Days Instead of Weeks
Lower Costs
More Inspections with less operators
Safer
Keeps inspectors off active roadways, eliminated need for closures & traffic control
Actionable Data
Better prioritization of issues for maintenance and improvements
Easily Managed
Pre-set flight patterns allow for less on-site oversight
Use Your Own Technicians or Consultants
Corridor Planning, Data Capture & Aggregation
Drone-driven, cloud-powered, ingestion engine to aggregate raw and publicly available critical infrastructure data in large volumes.
AI Assisted Data Processing
Infrared images are captured every 30 minutes. Our proprietary algorithms detect defects in infrastructure. Engineers can additionally look at raw and processed data. ADR
Insights & Reporting
Easy to understand reports and infrared deck maps with delaminations visible.
HOW? NEXT LEVEL INFRARED
Unlike competing solutions, our algorithms analyze time-series data captured on infrastructure throughout the day offering deeper analytics and insights.
- – Breakthrough AI Platform Algorithms
- – Advanced Image Capture & Cloud Data Analytics for Vast Data Volumes
- – Proprietary Machine Learning Approach with Deep Learning Methodology
Alynix’s neural networks combine field data with simulated physics models and integrate defect detection algorithms with a 3D digital twin of the inspected infrastructure.
Let's Connect
About Your Project
Today
The Case
for Automated
Bridge Inspection
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 deficient bridges. Traditionally, the collection of data to determine the location and severity of 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.
Drone technology is part of the solution
The use of uncrewed 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 are then stitched together for processing. 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.
