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 Features
Live Demo

Core 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 RAISE TECH in action - Real-world demonstration

Video Placeholder

RAISE TECH Demo

Complete demonstration of the AI-powered road safety solution in action

Our Clients

Trusted by leading organizations for road safety solutions

Client Logo 3
Client Logo 2
Client Logo 1

Ready to Transform Road Infrastructure?

Join leading authorities leveraging AI for safer, more efficient road networks

Get Started Today