Method and system for auditing and verifying vehicle identification numbers (VINs) with audit fraud detection

This invention describes a system to automatically check vehicle identification numbers (VINs) and spot fakes, especially when auditing large groups of vehicles like those in a car lot. It works by collecting photos of VINs using a mobile device, along with the device's location and movement data, and the vehicle's location. This information is then compared and verified, potentially with human input, to ensure the VINs are legitimate and to flag any suspicious activity, all managed through a mobile app communicating with a cloud server.

Why it matters: Filed before the widespread adoption of advanced AI for image recognition and anomaly detection. Modern machine learning models can now more accurately extract VINs from photos and identify subtle fraud patterns, making the core verification and fraud detection much more robust and automated.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMobile app, cloud server, image processing, fraud logic.

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