Camera Sensor Systems for High Speed Vehicle Data Collection

The Florida Department of Transportation (FDOT) is seeking information from qualified vendors and technology providers regarding the capabilities, specifications, and deployment considerations of AI-enabled camera sensor systems designed for continuous, high-accuracy vehicle data collection on the Florida State Highway System. The primary objective is to evaluate technologies capable of operating 24/7, under high-speed traffic conditions, and across diverse environmental and climatic conditions, with a minimum vehicle detection and classification accuracy of 95%. Key requirements include: • Vehicle detection and classification with at least 13 FHWA vehicle classes and 95% accuracy • Speed estimation with accuracy within ±5% of actual vehicle speed at highway speeds • Lane-level detection and real-time reporting of vehicle counts and lane occupancy rates • 24/7 operation with minimal downtime or recalibration • Weather resilience and nighttime performance with infrared or low-light imaging capabilities • Mounting options, power and connectivity, edge processing, and remote management • Data outputs in structured formats and integration with FDOT's existing Transportation Data Management Systems (TDMS) • Cybersecurity compliance with NIST Cybersecurity Framework or equivalent standards