Automated Visual Data Structuring for Insurance Claims
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Solution Overview
Problem
The processing of visual digital media, such as images and videos, often requires significant manual effort to organize and analyze, especially in insurance claims where multiple unstructured captures need to be sorted and assessed for damage, leading to inefficiencies and increased processing time.
Innovation Solution
Automated techniques for structuring visual data by analyzing and organizing images, videos, and multi-view captures, using object recognition and pixel mapping to create a standardized view, guiding users to capture complete data sets, and presenting structured data in a user-friendly interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual organization and analysis of visual data is performed, then accuracy in damage assessment can be maintained, but processing time and effort increase significantly
Solution Approach 1:
The patent introduces an automated visual data processing system that acts as an intermediary between raw visual data and human analysts. The system performs preliminary organization, structuring, and analysis of visual data using computer vision algorithms, then presents processed results to analysts for final assessment. This intermediary processing layer reduces the time burden on analysts while maintaining assessment accuracy through automated feature extraction and damage detection algorithms.
Solution Approach 2:
The patent replaces manual mechanical analysis with automated computational processing. Computer vision algorithms automatically analyze visual data for damage detection, organizing images and videos without human intervention for initial processing steps. This substitution of mechanical human analysis with automated systems dramatically reduces processing time while maintaining or improving assessment accuracy through consistent algorithmic application.
2Reliability
If multiple unstructured visual captures are organized manually, then complete data sets can be assembled, but the complexity of organization increases
Solution Approach 1:
The patent implements self-service organization where the visual data processing system automatically performs classification, structuring, and validation of captured images and videos without requiring manual organization efforts. The system autonomously identifies relevant data, organizes it according to predefined schemas, and ensures completeness checks, thereby reducing organizational complexity while maintaining data completeness reliability.
Solution Approach 2:
The patent transforms unstructured visual data into structured formats by changing organizational parameters. The system applies automated classification schemes, metadata tagging, and hierarchical structuring that convert chaotic multiple captures into organized datasets. This parameter transformation from unstructured to structured format reduces organization complexity while ensuring complete data assembly through systematic processing.
3Productivity
If automated structuring techniques are applied, then processing efficiency increases, but the initial setup and implementation complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-configuring processing pipelines, predefined classification schemas, and automated workflows before actual visual data processing begins. The system is pre-programmed with damage detection algorithms, organization structures, and analysis protocols that are ready to execute automatically. This preliminary setup, while complex initially, enables high processing efficiency once deployed, as no manual configuration is needed during actual processing operations.
Data Source
AI summary
Mappings are determined between viewpoints of an object and an object model representing the object. Each mapping identifies a location on the object model corresponding with a portion of the object captured in one of the viewpoints. Defect identifiers for the object model are created based on the mappings, where each defect identifier links one of the viewpoints to one of the locations on the object model. A user interface that includes the object model and the defect identifiers is provided for presentation on a display screen in a user interface. One of the viewpoints is presented in the user interface when the corresponding defect identifier is selected in the object model.