VIVOTEK and CHENG LI Deploy AI Surveillance for Danjiang Bridge Traffic Control and Analytics

VIVOTEK announced a case study detailing its collaboration with system integrator CHENG LI to deploy an intelligent video surveillance and analytics system on Taiwan's Danjiang Bridge. Spanning nearly one kilometer as an asymmetrical single-tower cable-stayed bridge, the structure is designed to shorten travel distances by approximately 15 kilometers and save around 25 minutes of travel time, accommodating mixed traffic including motor vehicles, buses, motorcycles, bicycles, and pedestrians. To withstand severe coastal conditions such as strong winds and salt spray, 40 professional cameras were installed across the bridge. The deployment relies primarily on high-resolution PTZ speed dome cameras complemented by bullet and license plate recognition (LPR) models, reducing infrastructure requirements for poles and cabling compared to traditional fixed setups. Supporting Taiwan's first dedicated bridge traffic control center, the system features built-in AI analytics to classify vehicle types, differentiate between pedestrians and cyclists, trigger automated alerts when customizable traffic volume thresholds are exceeded, enable post-event historical video analysis, and export CSV reports for signal optimization and enforcement.

Key takeaways

• VIVOTEK and CHENG LI deployed 40 AI-enabled cameras on Danjiang Bridge, using weather-resistant PTZ speed domes to withstand severe coastal conditions.
• The system classifies multiple vehicle types, distinguishes pedestrians from cyclists, triggers volume threshold alerts, and integrates LPR capabilities.
• Real-time monitoring and retroactive rule-based video analysis feed data into CSV reports, aiding traffic signal optimization and traffic management.