RAISE TECH - AI-Powered Road Safety Solution

Transforming Road Infrastructure Through Intelligent Vision

Comprehensive AI-driven platform combining advanced computer vision, real-time processing, and intelligent analytics to revolutionize road infrastructure management, maintenance planning, and safety compliance.

85%

Detection Accuracy

97%

Classification Rate

Infrastructure Types

34K+

Training Images

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

⚠️ Safety Assessment

High-risk segment identification
Driver safety alerts
Incident investigation support

Project Video

Watch RAISE TECH in action - Real-world demonstration

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RAISE TECH Demo

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