VIN Audit Fraud Detection via Camera and Crowdsourcing
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Solution Overview
Problem
Current methods for auditing vehicle identification numbers (VINs) on transport devices are prone to inaccuracies and fraud due to difficulties in reading VINs through windshield glass, reuse of photographs, incomplete recording, and misrepresentation of vehicle locations, leading to audit fraud.
Innovation Solution
A method and system utilizing digital photographs collected with camera components on transport devices, verified through multilevel fraud detection and crowdsourcing, to accurately detect and prevent fraud in VIN audits by comparing crowdsourced verification contributions and GPS location information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If auditors take photographs of VINs through windshield glass, then VIN verification can be performed, but the photographs are hard to read due to reflections and visual artifacts
Solution Approach 1:
The patent introduces an intermediary processing system that captures images of VINs and processes them through multiple algorithms including contrast enhancement, edge detection, and pattern recognition to extract the VIN data despite reflections and visual artifacts in the original photograph
Solution Approach 2:
The patent replaces manual visual inspection of VIN photographs with automated image processing and optical character recognition systems that can digitally enhance and interpret the VIN data from captured images, eliminating the need for human auditors to physically read difficult-to-see VINs
2Productivity
If auditors use photographs for VIN verification, then the process can be automated, but photographs are taken once and re-used repeatedly for the same vehicle regardless of sale status
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors vehicle status changes and automatically updates audit records when vehicles are sold or moved, ensuring that photograph usage is synchronized with actual vehicle status rather than relying on static, potentially outdated images
Solution Approach 2:
The patent transforms the static photograph verification process into a dynamic system that automatically updates and re-evaluates VIN data when vehicle status changes occur, ensuring audit records remain current and accurate throughout the vehicle's lifecycle
3Ease of operation
If auditors manually record VINs, then flexibility is maintained, but VINs may be intentionally or unintentionally not recorded or misrecorded
Solution Approach 1:
The patent enables the system to automatically capture, process, and record VIN data through image recognition and data extraction algorithms, eliminating the need for manual transcription and reducing human error while maintaining operational flexibility through automated workflows
4Measurement precision
If GPS location information is collected, then vehicle location verification is improved, but the system complexity increases
Solution Approach 1:
The patent integrates GPS location tracking into the existing audit system, allowing the same platform to perform both VIN verification and location monitoring functions, thereby reducing overall system complexity through multi-functionality rather than adding separate dedicated systems
Data Source
AI summary
A method and system for auditing and verifying vehicle identification numbers (VINs) on transport devices (e.g., trucks, trains, ships etc.) with multilevel fraud detection. Digital photographs of vehicle VINs on transport devices are collected with camera components on the transport devices (e.g., trucks, trains, etc.) and verified with multilevel fraud detection, crowdsourcing and other information collected about the vehicles on the transport device. The method and system is used to detect fraud associated with VIN audits of vehicles and unique identifier of non-vehicle entities on transport devices.