A transportation authority in Washington, DC is seeking a comprehensive, mobile railcar inspection portal solution. The desired system should consist of a self-powered, containerized platform, capable of being relocated up to twelve times per year to support dynamic operational requirements. The portal must deliver advanced, high-speed imaging, capturing detailed, high-resolution automated images of railcar undercarriages and side-trucks, even as railcars move at track speeds.

The solution should leverage Artificial Intelligence and Machine Learning (AI/ML) for automated, near real-time (within 60 seconds) defect detection and anomaly identification. It must feature a dual-path Automatic Equipment Identification (AEI) tag reading system utilizing RFID technology, ensuring railcar identification accuracy even if one tag is obstructed. The vendor is expected to deliver a turnkey, managed service—including ownership and maintenance of all hardware—while providing remote inspection capabilities conducted by certified mechanical inspectors.

Additionally, the system should operate as a Solution-as-a-Service (SaaS) model, guaranteeing at least 12 relocations annually, comprehensive hardware upkeep, and real-time inspection services. Modular AI/ML diagnostic capabilities should facilitate plug-and-play adaptability for future updates or new rolling stock inspection needs.