Image-Based Vehicle Repair Estimate Verification System
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Solution Overview
Problem
Insurance companies face inefficiencies and increased costs due to the need for personal inspections and negotiations to verify vehicle repair cost estimates, as body shops' estimates often differ from insurers' assessments, potentially including errors or fraud.
Innovation Solution
A computer system and method that processes vehicle repair estimates by applying predefined rules to determine the necessity of approval, forwarding estimates to claim handlers for review, or approving them automatically, reducing the need for in-person inspections and facilitating efficient review and payment processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If personal inspection by adjuster is used to verify repair estimates, then accuracy of cost assessment is improved, but time consumption and operational cost increase
Solution Approach 1:
The patent uses digital images of the damaged vehicle and applies image processing algorithms to create a virtual copy of the inspection process. The system analyzes images to automatically determine damage extent, required parts, and labor time, replacing the need for physical inspection while maintaining assessment accuracy.
Solution Approach 2:
The patent replaces the mechanical inspection process (adjuster physically examining the vehicle) with an automated image-based system. Digital images captured from the vehicle are processed by computer algorithms to extract repair information, eliminating the time-consuming manual inspection while preserving assessment precision.
2Reliability
If personal inspection and negotiation process is used, then reliability of estimate verification is improved, but device complexity and operational cost increase
Solution Approach 1:
The system enables self-service verification where the image processing system automatically evaluates repair estimates against the damaged vehicle images without requiring adjuster intervention. The automated system independently performs damage assessment, parts determination, and labor time calculation, reducing operational complexity while maintaining verification reliability.
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously compares repair estimate data against image analysis results. If discrepancies are detected, the system automatically identifies inconsistencies and can trigger re-evaluation or adjustment, ensuring reliable verification while simplifying the overall process through automated feedback loops.
3Productivity
If automated image-based verification is implemented, then productivity is improved, but measurement precision may deteriorate
Solution Approach 1:
The system performs preliminary image capture and processing immediately when the vehicle is brought to the repair facility. Digital images are taken and uploaded to the system beforehand, allowing the automated analysis to be performed in parallel with other repair activities. This preliminary action enables rapid processing while maintaining high accuracy through comprehensive image coverage.
Solution Approach 2:
The patent transitions from two-dimensional image data to three-dimensional spatial understanding by analyzing images from multiple angles and depths. The system processes images to create a comprehensive three-dimensional assessment of damage, allowing automated systems to achieve precision comparable to physical inspection through multi-dimensional image analysis.
Data Source
AI summary
A computer system for processing data for verification of vehicle repair estimates in connection with insurance claims includes an insurance claims database having data relating to insurance claims. One or more computer processors are configured to receive claim identifying data from a repair facility computer system; determine, based on the claim identifying data, an insurance claim associated with the claim identifying data; establish secure communication with the repair facility computer system; receive data indicative of a repair estimate associated with the insurance claim from the repair facility computer system; access an evaluation of the estimate based on a plurality of rules, compare the estimate to one or more thresholds, and forward the estimate to a claim handler system.