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A government authority in North Carolina is seeking a vendor to replace the city’s existing license plate recognition system with a modern solution offering improved accuracy, performance, analytics, and integration capabilities. The system must provide real-time license plate recognition with an accuracy rate of at least 90% under varied operating conditions, using fixed-position, high-resolution cameras capable of capturing clear plate images in different lighting and weather conditions, including day and night operation.
The solution must include secure cloud-based storage for captured license plate recognition data, with encryption in transit and at rest and compliance with applicable data security and privacy laws. The vendor must also provide and install mobile broadband modems capable of high-speed data transmission for each camera or trailer location.
Required capabilities include vehicle analytics for make, model, color, and license plate state, with a minimum accuracy rate of 90%; a modern dashboard for real-time monitoring, analysis, and system management; and searchable recognition history by plate, time, and location. Questions must be submitted by September 18, 2026. The contract period will be twelve years.
Analysis generated by Settle AI from the source RFP.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.