Traffic Intelligence
Genovax Traffic converts existing highway cameras into real-time traffic flow sensors, detecting stopped vehicles, debris, and lane violations within seconds.
![Genovaxai Real-Time Camera Feed - FEED: CAM-SOL-TRAFFIC [TRAFFIC INTELLIGENCE]](/images/product-traffic.jpg "Genovaxai Optical Vision - FEED: CAM-SOL-TRAFFIC [TRAFFIC INTELLIGENCE]")
Manual Blind Spots & Delayed Alerts
Traffic congestion causes billions in lost economic productivity and increased emergency response delays on unmonitored road segments.
Continuous Sub-Second Computer Vision
Genovax Traffic converts existing highway cameras into real-time traffic flow sensors, detecting stopped vehicles, debris, and lane violations within seconds.
How Traffic Intelligence Operates in Production
High-speed highway camera streams fed via fiber network
High-framerate detector counts and tracks vehicles across lines
Velocity computed via calibrated virtual trigger loops
Incidents pushed directly to dynamic roadside message signs
Core Operational Features
- Automated stalled vehicle & debris detection on lanes
- Vehicle classification and axle estimate detection
- Average speed and flow-rate calculations
- High-occupancy toll (HOT) lane compliance audit
Technical Capabilities
- Speeds up to 140 mph (225 km/h) tracking accuracy
- Night illumination headlight glare filtering
- Standard NTCIP protocol support for DOTs
- Multi-lane simultaneous tracking (up to 8 lanes)
Underlying GPU Pipeline Architecture
Zero-Memory-Copy Accelerated Architecture
Computer Vision Pipeline
Extracts high-dimensional spatial feature representations across industrial machinery, workers, gear, vehicles, and hazardous boundaries.
- Dual-backbone feature pyramid networks for micro-object detection
- Pose keypoint extraction for ergonomics and slip-and-fall alarms
- Multi-head classification for sub-category asset discrimination