Traffic monitoring, composition analytics, turning movement, and O/D matrix from video.
Traditional traffic monitoring leaves critical gaps in decision making:
Consequence: Without automated detection, cities rely on reactive measures, resulting in congestion costs & environmental impact.
End-to-end AI pipeline that transforms any CCTV feed into actionable traffic intelligence:
Proven impact: Reduce analysis time from hours to minutes, enable predictive traffic strategies, and optimize intersection design with data-driven insights.
Advanced AI models for real-time vehicle detection, traffic analysis, and actionable insights.
AI-based real-time vehicle detection and tracking using deep learning models to count vehicles and detect traffic direction from CCTV feeds.
AI-generated comprehensive vehicle composition analysis by type and lane, with automated insights and detailed analytical reports.
AI-powered measurement of turning movements across intersections and automated origin-destination (O/D) matrix generation.
Real-time multi-class vehicle detection powered by AI models trained on diverse traffic scenarios.
End-to-end AI-powered workflow for real-time traffic monitoring and analysis.
Capture traffic video streams from existing infrastructure without additional hardware requirements.
Extract frames and prepare data for AI analysis in real-time from live or recorded feeds.
Detect and track vehicles using advanced AI models with 98% accuracy across 8+ vehicle classes.
Generate insights and metrics including vehicle counts, composition analysis, and movement patterns.
Visualize results and export comprehensive reports for decision-making and strategic planning.
Real-time AI-generated traffic insights including vehicle counts, movement patterns, and congestion analysis for operational decision-making.
vs Manual analysis: 8-10x video duration
*Live metrics from T3C AI processing engine
Demonstrate AI Traffic Monitoring on real data with live vehicle detection, composition analysis, and actionable traffic insights.