Hybrid AI Tracking
Radar-Centric – Camera-Enhanced – AI-Powered
Hybrid AI Tracking is the next evolution in traffic detection, combining high-definition video with advanced radar into a single AI-powered system. Designed for signalized intersections, highways, and other complex traffic scenarios, it ensures premium detection, precise object classification, and continuous, reliable performance in all weather and lighting conditions.
By merging radar’s long-range precision with high-definition video, Hybrid AI Tracking delivers outstanding accuracy, situational awareness, and operational efficiency, helping cities and traffic operators optimize traffic flow and improve safety and support traffic enforcement.
Hybrid AI Tracking – Precision Where It Matters Most
Hybrid AI Tracking intelligently combines radar and visual detection using advanced AI-based algorithms. By fusing both technologies into one integrated system, it enables precise presence detection and accurate object classification at the stop bar and in the inner part of the intersection — delivering reliable performance exactly where it matters most.
Why choose
Hybrid AI Tracking?
AI-powered Hybrid Sensor Fusion
Radar and visual data streams are combined and processed through the COM HUB Hybrid interface, creating a fully integrated AI tracking system for unparalleled detection accuracy.
Premium Stop Bar Detection and Classification Accuracy
Visual detection enhances radar triggering for highly reliable stop bar presence detection and classification.
Accurate Tracking, Counting and Classification
The system precisely tracks approaching, advanced, and turning traffic while delivering high-quality classification across multiple lanes.
Long-Range Performance
Hybrid AI Tracking can track objects at distances of up to 300 meters (984 ft), providing precise information on their position and speed for enhanced safety and traffic analysis.
Scalable Multi-Sensor Architecture
Multiple radar-video combinations can connect to a single COM HUB Hybrid, consolidating object lists and improving situational awareness, also at the inner part of the intersection.
Key Features of
Hybrid AI Tracking
Advanced AI Radar–Video Fusion
Radar point clouds and visual streams are processed and fused via the COM HUB Hybrid interface, ensuring seamless tracking and highly reliable object detection across multiple lanes and multiple approaches.
Consolidated Object Lists
A unified object list is obtained by merging radar and visual detections into a single AI-tracked model, enabling precise traffic monitoring and decision-making.
Satellite Imagery–Based Configuration and Validation
Detection zones are easily set up with the Traffic Web UI via satellite imagery, with camera overlays for visual verification, enabling rapid, accurate and simplified configuration, testing, validation, and commissioning.
Embedded Video Streaming
Live video access allows remote traffic monitoring, system checks, performance validation, and troubleshooting without additional infrastructure.
Advanced Classification & VRU Protection
Highly accurate classification of all road users, including vulnerable road users (VRUs) such as pedestrians and cyclists, enabling safer intersections, better traffic management, and reliable analytics, even in complex multi-lane environments.
TRUGRD Stream Hybrid
Next Level of Accurate Detection
TRUGRD Stream Hybrid is a dedicated implementation of Hybrid AI Tracking for traffic intersections and highways. It combines the TRUGRD Stream sensor with the COM HUB Hybrid interface, creating a complete solution that delivers long-range detection up to 300 meters (1,000 ft.), real-time decision-making for which technology is used in different regions in the field of view, and consistent performance across all lanes.
By combining these two products, operators benefit from an integrated system that maximizes detection accuracy, improves counting performance, brings accurate object classification, and ensures reliable operation in any weather or lighting condition.
- Long-Range Performance
- Tracks objects up to 300 meters (984 ft.) away
- Provides precise speed and position of all objects in the field of view
- Real-Time Sensor Decisions
- Automatically selects which technology — radar, visual or both— is used for each detection zone based on specific on-site conditions
- High-Accuracy Detection – Anytime, Anywhere
- Significantly increased detection and classification accuracy
- Excellent counting performance across multiple lanes
- Reliable operation in all weather and lighting conditions
Impressive
Advantages
Product
Selection Guide
Find the right product for your needs. With just a few clicks, you can find the best solution using the Product Selection Guide.
Where to use?
Applications of Hybrid AI Tracking
Highways
Reliable 24/7 detection, counting and classification for traffic flow monitoring, statistics, and incident detection.
Bridges
Stable long-range detection for challenging environments and traffic management at critical infrastructures.
Urban Mobility and Safety Applications
Bicycle presence detection and counting in shared and dedicated lanes, gridlock detection, stuck vehicles, illegal U-turns, wrong-way driving, and complex intersection traffic.
Enforcement
Hybrid AI Tracking supports traffic enforcement by accurately monitoring vehicle movements across all lanes and approaches. It can detect vehicles violating lane restrictions, such as unauthorized use of bus lanes, and identify illegal U-turns. Combined with reliable stop-bar presence and turning movement data, this enables authorities to maintain a safe and orderly traffic flow.
V2X Communication
Ready for V2X communication, delivering real-time, AI-processed traffic information to connected vehicles and infrastructure. By providing accurate position, speed, and classification data, the system supports advanced driver assistance, cooperative traffic management, and future mobility scenarios.
VRU Protection
Enhances the safety of vulnerable road users (VRUs) by accurately detecting, classifying, and tracking VRUs in complex intersections and multi-lane approaches, including bicycles in both dedicated and shared lanes, helping reduce conflict points, optimize signal timing, and create safer urban mobility environments.
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