riteTRAC™ is our AI-based continuous automated lane performance and audit system that provides real-time lane performance monitoring and trending for early actionable anomaly detection.
With riteView™, reporting is neatly decoupled and synchronized with transaction processing in near real-time. Configurable dashboards and reports draw multi-source data straight from the message-streaming communication bus. And if it is auditing past events that you are after, riteView™ is capable of storing data indefinitely - so look as far down that system memory lane as you wish. riteView is the power to see and control your data on your terms: up to 80% of reports and dashboards are made without development assistance.
The Human License Plate Review (HLPR) module is an integral part of riteVision™, wherein machine learning system routes license images to the correct reviewer, based on their experience and accuracy. In combination with ergonomically designed HLPR interface and the time-tested procedures at our onshore and offshore image review and overflow centers, skill-based routing optimizes review times and accuracies. Our experienced image review teams process 93 million images annually.
Whether natively integrated with our event processor or a standalone Software-as-a-Service (SaaS) application, riteVision™ uses machine learning for vehicle identification and automatic license plate recognition, far surpassing traditional Optical Character Recognition (OCR) technologies. riteVision’s cloud-based image review and video tolling technology turns regular image capture cameras into efficient vehicle recognition systems, for unmatched automation, speed, and accuracy at a lower cost.