Transforming Infrastructure Decisions with AI, LiDAR & Advanced Analytics
AI That Understands Pavement Conditions
How It Works
Image Collection
High-resolution roadway imagery is captured using TEE's Automated Data Collection System.
AI Analysis
Machine learning and deep learning models automatically identify pavement distresses, classify severity, and calculate condition ratings.
Condition Reporting
The system generates image-level and segment-level PCI scores, distress inventories, and geospatial datasets ready for engineering review and asset management.
What the System Detects
Comprehensive Pavement Intelligence
Our AI automatically identifies and classifies:
- Cracking
- Surface distress
- Distress type
- Distress extent
- Distress severity
- Pavement Condition Index (PCI)
- Image-level condition ratings
- Segment-level condition ratings
- Georeferenced pavement condition data
Key Benefits
Why Choose AI-Powered Distress Detection?
- Ask our Agent: TEE's AI-powered pavement condition Dashboard includes a built-in Analyst Agent
- Automated distress detection and classification
- ASTM D6433 PCI generation
- Multi-methodology condition rating support
- PASER-compatible condition assessments
- Machine learning and deep learning analytics
- Georeferenced pavement imagery analysis
- Network-wide pavement condition monitoring
- Objective and repeatable condition evaluation
- Engineer-validated AI models
- High-frequency condition reporting
- Image-level and segment-level condition ratings
- Comprehensive pavement inventory and condition database
- Scalable pavement management workflows
- Data-driven maintenance and rehabilitation planning
- Automated distress identification and quantification
- Consistent pavement condition reporting
- GIS-ready pavement condition data
- Asset management system integration
- Detailed distress type, extent, and severity mapping
- Enhanced visibility into pavement network performance
- Reduced manual inspection requirements
- Digital pavement condition documentation
- Support for capital improvement planning
- Comprehensive geodatabase deliverables
- Repeatable and standardized condition assessments
- Network-level and project-level analysis capabilities
Why AI Makes the Difference
Faster Decisions. Better Infrastructure.
Traditional pavement inspections can be time-consuming and subjective. TEE's AI-powered platform delivers objective, repeatable, and consistent condition assessments that eliminate human bias while significantly improving efficiency.
With automated analysis and engineer-validated models, agencies receive reliable pavement intelligence that supports smarter maintenance planning, rehabilitation strategies, and long-term infrastructure investment.
Applications
Built for Modern Transportation Agencies
Our AI-powered distress detection supports:
- State DOTs
- Cities & Municipalities
- Counties
- Airports
- Toll Authorities
- Engineering Consultants
- Infrastructure Owners
- Asset Management Programs