Road Safety
Audit System
AI-powered computer vision for road defect detection. It analyzes vehicle imagery. Detects, classifies, and quantifies defects like cracks and potholes. Provides metrics on severity and affected area.
Explore FeaturesCore Modules
Two powerful systems working in harmony for complete road safety management
Smart Road Damage Detection
State-of-the-art deep learning models automatically identify, classify, and quantify road surface defects with precision.
- Pothole Detection & Segmentation (85% accuracy)
- 5 Types of Crack Classification
- Kerb Condition Assessment (71% accuracy)
- Road Surface Classification (97% accuracy)
- Material Recommendations for Repairs
Safety Infrastructure Monitoring
Comprehensive detection and classification of road safety equipment ensuring compliance with safety standards.
- Lane & Edge Line Detection
- Crash Barrier Monitoring
- Speed Breaker Inspection
- Sign Board Assessment
- Raised Pavement Markers (RPMs)
- Rumble Strip Verification
Real-Time Analytics & Processing
Advanced processing infrastructure with intelligent analytics for immediate decision-making and comprehensive reporting.
- Video Processing at 45-60 FPS
- GPS Coordinate Extraction
- Interactive Map Visualizations
- Automated Reporting & Dashboards
- Pre/Post-Repair Comparison
Technology Stack
Enterprise-grade infrastructure powering intelligent road safety
Deep Learning Models
YOLOv8-L & YOLOv11-L: State-of-the-art architectures for real-time object detection and instance segmentation with precision boundary detection capabilities.
YOLOv11n: Lightweight model optimized for road surface classification achieving 97% accuracy with minimal computational overhead.
Massive Training Dataset
34,540+ Augmented Images: Comprehensive dataset covering diverse conditions including varied lighting, weather patterns, and road textures across Indian urban environments.
Training: 27,690 | Validation: 3,330 | Testing: 3,520 images
Cloud Infrastructure
AWS Services: EC2 for computation, S3 for scalable image storage, PostgreSQL for structured data, and MongoDB for flexible document storage.
RESTful APIs with real-time processing endpoints and automated batch capabilities.
Advanced Processing
Real-Time Analysis: Frame sampling at 45-60 FPS, GPS coordinate extraction using Haversine formulas, and automated defect logging with IST timestamps.
Interactive dashboards with Folium maps and comprehensive analytics.
Key Benefits
Transforming road infrastructure management through AI-driven insights
Safety Improvements
Proactive defect detection identifies hazards before they cause accidents. Continuous monitoring ensures safety equipment presence.
Operational Efficiency
Automated surveys replace manual inspections. Real-time data enables immediate decision-making and resource optimization.
Cost Savings
Targeted repairs instead of blanket resurfacing. Precise material quantification reduces waste and prevents costly major repairs.
ESG Compliance
Eco-friendly material recommendations. Optimized survey routes reduce fuel consumption and carbon footprint.
Data-Driven Insights
Trend analysis and performance benchmarking. Predictive maintenance and budget forecasting capabilities.
Use Cases
Versatile solutions for diverse stakeholders
Proactive Maintenance
- Regular automated road condition surveys
- Predictive maintenance scheduling
- Resource optimization through data-driven planning
Safety Compliance
- Continuous safety infrastructure monitoring
- Automated alerts for missing installations
- Regulatory compliance documentation
Cost Efficiency
- Reduced manual inspection costs
- Targeted repairs vs blanket resurfacing
- Material waste reduction
Urban Management
- City-wide road condition mapping
- Pothole identification and tracking
- Citizen complaint verification through AI
Safety Audits
- School zone safety monitoring
- Pedestrian crossing visibility
- Intersection safety compliance
Budget Planning
- Evidence-based budget allocation
- Priority ranking for repairs
- Historical trend analysis
Quality Assurance
- Post-construction verification
- Defect identification before handover
- Documentation for warranty claims
Project Monitoring
- Progress tracking through surveys
- Before/after comparison
- Performance validation
Route Optimization
- Road condition-based routing
- Damaged section avoidance
- Vehicle maintenance cost reduction
Risk Assessment
- High-risk segment identification
- Driver safety alerts
- Incident investigation support
Project Video
Watch Drishti in action - Real-world demonstration
Drishti Demo
Complete demonstration of the AI-powered road safety solution in action
Project Gallery
Visual insights from our AI-powered road safety solution
Our Clients
Trusted by leading organizations for road safety solutions
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