
TraficCo delivers real-time vehicle detection, classification, and counting from live video streams or uploaded footage. Monitor multiple intersections simultaneously with HCM-compliant LOS analysis, congestion prediction, and automated traffic management recommendations.
Process live RTSP streams or uploaded video files through a YOLO-based detection pipeline. Supports webcam, IP cameras, and batch video processing.
Classify vehicles into cars, buses, trucks, and minibuses using custom-trained YOLOv8 models. SORT multi-object tracking maintains persistent vehicle IDs across frames.
Monitor up to 16 intersections simultaneously. Each feed runs an independent detection pipeline with its own counting lines, zones, and analytics.
HCM-compliant Level of Service (A–F) scoring, V/C ratio analysis, speed distribution, directional turning movement counts, and PCU calculations.
Time-series analysis of throughput trends to predict congestion 15 minutes ahead. Trend classification (improving/stable/worsening) with confidence scoring.
Automated alerts for LOS E/F conditions, speed anomalies, and high vehicle density. Actionable traffic management recommendations based on current conditions.
Process overhead camera feeds to extract turning movement counts, directional flows, and vehicle classifications. Compatible with drone footage, CCTV, and IP camera systems.


The platform continuously analyses throughput trends and applies HCM methodology to predict congestion 15 minutes ahead, generating prioritised traffic management recommendations.