High-Profile Bridge AI Deployment

To support safety, mobility insights, and multimodal planning, we deployed our Camera Vision AI system across a nationally recognized urban bridge corridor. This high-traffic structure includes both vehicle and pedestrian facilities, making it an ideal site for advanced, real-time monitoring of complex traffic interactions.

Our team installed camera hardware to cover northbound and southbound vehicle lanes, as well as both pedestrian and bicycle pathways. The deployment was executed using existing infrastructure, requiring no new sensor networks or major physical modifications.


Project Goals

  • Enable real-time multimodal traffic monitoring
  • Detect incidents and anomalies on the bridge structure
  • Deliver lane-level traffic counts and behavioral analysis
  • Support long-term planning with month-to-date and year-to-date metrics
  • Provide data-driven insights through customizable dashboards

What We Deployed

  • High-resolution camera systems mounted on existing structures
  • Vision AI object detection models, custom-trained to track:
    • Cars
    • Trucks
    • Bicycles
    • Pedestrians
    • Service vehicles
  • Lane-specific tracking, distinguishing northbound and southbound movements
  • Separate analysis zones for pedestrian and bike sides

Custom Dashboard Features

  • Real-time traffic volume counts across all travel modes
  • Live anomaly alerts for stopped vehicles, erratic behavior, or crowding
  • Month-to-date and year-to-date summaries
  • Comparative trend analysis over custom time frames
  • Exportable reports for agency performance and planning workflows

Key Technical Advantages

  • No reliance on in-pavement or legacy ITS sensors
  • Modular, scalable system with quick deployment timeline
  • Cloud-hosted backend with high availability and low maintenance overhead
  • Fully customizable for future object classes and corridor expansions

Impact

This deployment demonstrated the power of Camera Vision AI to deliver real-time situational awareness and deep historical insights—all without disrupting infrastructure or requiring large capital investments. The agency gained a scalable solution that adapts to changing operational needs and provides immediate ROI through better data, safer corridors, and reduced manual effort.