The Problem
Maintaining roads and public infrastructure is often reactive and inefficient.
Common Challenges
- Reliance on manual inspections or citizen complaints
- Delayed identification of critical issues
- Lack of accurate location-based data
- Difficulty tracking recurring or unresolved problems
Business Risks
- Poor road conditions and safety risks
- Slow response times
- Inefficient maintenance planning
The Solution
An AI-powered framework designed to continuously detect road defects and civic issues using video captured from moving vehicles.
By combining visual detection with location data, the system creates a real-time map of issues, helping teams identify, prioritize, and act faster.
It leverages existing fleet movement to enable continuous monitoring without dedicated survey efforts.
How It Works
1
Video capture
Dashcams or mobile cameras capture road footage
2
AI detection
Identifies defects such as potholes, garbage, broken infrastructure
3
Location tagging
GPS data attaches precise location to each detection
4
Event processing
Filters duplicates and validates detections across frames
5
Insights & reporting
Generates geo-tagged records with images and descriptions
Key Capabilities
- Detection of potholes, cracks, and road damage
- Identification of garbage, debris, and civic issues
- Geo-tagged issue mapping with location data
- Duplicate filtering and repeat issue tracking
- Severity-based classification of issues
- Dashboard for monitoring and reporting
- Continuous data collection using existing vehicle fleets
Use Cases
- Road condition monitoring across city routes
- Identifying recurring infrastructure issues
- Tracking sanitation and cleanliness problems
- Supporting field inspection and maintenance planning
Business Impact
- Enables proactive identification of issues
- Improves maintenance prioritization
- Reduces dependency on manual inspections
- Enhances visibility into recurring problems
- Supports faster and more efficient response
Customization & Fit
- Configurable detection based on local conditions
- Flexible integration with fleet or mobile systems
- Adjustable thresholds for severity and reporting
- Scalable across multiple routes and locations