Transform Cameras Into Traffic Sensors
Precise vehicle detection, classification, and behavioral analysis from existing camera infrastructure. No loop detectors, no new roadway hardware, just structured traffic data from video.
The Challenge
Traditional traffic detection requires expensive infrastructure that's costly to install and maintain.
Infrastructure Costs
Loop detectors require roadway cuts, radar sensors need dedicated mounts, and both have limited classification capability. Installation and maintenance costs add up fast.
Limited Data Richness
Basic sensors detect presence but can't classify vehicle types, track turning movements, or measure queue lengths with the precision modern traffic management requires.
Camera Underutilization
Traffic cameras already exist at most intersections for verification and incident management, but most extract zero structured data from those feeds.
Video In, Traffic Data Out
CVEDIA processes existing camera feeds and outputs structured traffic data your signal systems and management platforms can consume.
Detect & Classify
Vehicle detection across 12+ types, pedestrian and bicycle identification, speed estimation, and trajectory tracking, all from video.
Configure Zones
Define detection zones, approaches, turning movements, and queue measurement areas. Match your intersection geometry exactly.
Integrate & Analyze
Real-time counts feed adaptive signal systems via NTCIP. Historical data exports to traffic modeling software for optimization.
What We Detect
Precise vehicle and traffic analytics for intersection management, enforcement, and parking systems.
Vehicle Detection & Classification
Comprehensive vehicle identification with multi-lane tracking and detailed classification across all vehicle types.
Core Detections
- Vehicle classification across 12+ types: passenger, SUV, truck, bus, motorcycle, bicycle
- Multi-lane simultaneous tracking across all approaches
- Direction identification: approach and departure
- Vehicle dimensions: length and height estimation
Analytical Output
- Volume counts by classification: hourly, daily, monthly
- Vehicle mix percentages and classification breakdown
- Peak hour factors and traffic concentration metrics
- Historical trending and long-term pattern identification
Replace Legacy Sensors With Vision
Traditional traffic detection relies on expensive infrastructure: loop detectors that fail frequently, radar sensors with limited classification capability, and manual counts that are infrequent and costly.
CVEDIA transforms existing traffic cameras into comprehensive detection systems. The same cameras used for verification and incident management now provide continuous, accurate traffic data across all lanes and movements.
How to Deploy
Intersection Retrofit
Add CVEDIA-RT processing to existing traffic cameras for real-time detection and signal system integration.
Learn more →CVEDIA AI Appliance
Purpose-built hardware for high-volume intersection processing with NTCIP protocol support built in.
View specifications →Cloud Processing
Hybrid architecture with edge detection and cloud aggregation for corridor-level analysis and regional reporting.
Documentation →Transform Cameras Into Traffic Sensors
Extract precise vehicle data from your existing camera infrastructure. No new roadway hardware required.