Imagery Quantification of Vehicle Damage
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current technologies lack applications of computer vision in the insurance industry for objective and efficient quantification of vehicle damage, relying on subjective assessments by specialists or biased claimant reporting.
Innovation Solution
A mobile application-guided system using a mobile device with a photograph-guiding computer that instructs users to take photographs of a damaged vehicle from various angles and distances, employing grid diagrams and epipolar geometry calculations to calculate the depth and extent of damage, integrating with databases for further analysis and insurance claim processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subjective assessments by specialists or biased claimant reporting are used for damage evaluation, then the process is simple to operate, but the measurement precision and objectivity are poor
Solution Approach 1:
The system creates a digital copy of the damaged vehicle surface through photographs and generates a three-dimensional wireframe model that replicates the damage geometry. This digital model allows for precise measurement and quantification of damage without requiring physical measurement tools or specialist presence, thereby improving measurement precision while keeping the system accessible.
Solution Approach 2:
The patent replaces manual subjective assessment by specialists with an automated computer vision system that uses image processing algorithms to objectively measure and quantify damage. This substitution eliminates human bias and subjectivity while providing consistent, repeatable measurements across different claims.
2Measurement precision
If specialist appraisal is used for accurate damage assessment, then the measurement precision is high, but the productivity and claim processing speed are reduced
Solution Approach 1:
The system enables claimants to perform their own damage documentation using a mobile device application. The automated image processing and three-dimensional wireframe generation occur without specialist intervention, allowing the system to process multiple claims simultaneously and significantly increasing throughput while maintaining consistent measurement standards.
Solution Approach 2:
The system performs preliminary damage documentation and quantification at the scene of the incident using the claimant's mobile device. By capturing photographs and generating measurements immediately, the system eliminates the need for subsequent specialist visits, thereby accelerating the overall claims process while preserving measurement accuracy.
3Measurement precision
If multiple photographs from various angles are required for accurate depth calculation, then the measurement precision improves, but the ease of operation and user burden increase
Solution Approach 1:
The mobile device application provides real-time feedback to the user through a grid diagram overlay that indicates the optimal positioning and angulation for capturing damage photographs. This visual guidance system automatically adjusts and updates as the user moves the device, making it intuitive to capture the required多角度 views without requiring the user to understand complex photographic geometry or manual measurement techniques.
Data Source
AI summary
A system quantifies the extent of a damaged vehicle in the absence of a specialist (appraiser) present onsite. The system enables an objective estimate of the damage, supplanting or merely supplementing psychologically biased claimant reporting. The system has hardware structures to perform imagery quantification of damage on a damaged vehicle. The damaged vehicle may be located anywhere, including at the scene of an accident, at an insured's home, at an insurer's claims offices, or at a body shop. Anyone, including the insured, with a mobile device such as a smart phone, may download onto it a mobile application that guides the user to take photographs or moving images of the damaged vehicle for the system to perform imagery quantification of damage.