Scene Template Damage Analysis for Faster Liability Assessment
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Solution Overview
Problem
The processing of accident data for determining damage and liability is time-consuming and complex, involving significant paperwork and delays in claim settlement.
Innovation Solution
A system utilizing a guided digital assistant that analyzes various information to automatically calculate probabilistic likelihoods of causes and value of damages, employing a scene sketch tool and liability tool interfaces, along with real-time and prescriptive analytics to generate diagrams of object damage and environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual processing methods are used for accident data, then detailed assessment can be performed, but processing time is excessive and complexity is high
Solution Approach 1:
The manual accident assessment process is segmented into distinct functional modules: data collection module, scene reconstruction module, damage analysis module, and liability determination module. Each module handles specific tasks independently, allowing parallel processing and reducing overall processing time while maintaining assessment thoroughness.
Solution Approach 2:
A computer-based processing system acts as an intermediary between the claimant's accident data and the processor's assessment. The system automatically collects data from multiple sources, reconstructs accident scenes using algorithms, analyzes damage patterns, and generates liability recommendations, thereby reducing both processing time and human effort without sacrificing assessment quality.
2Loss of time
If automated systems are implemented, then processing time is reduced, but system complexity increases
Solution Approach 1:
The automated processing system is designed as a multi-functional platform that can handle various types of accident data (images, videos, sensor data, textual descriptions), perform multiple analysis tasks (scene reconstruction, damage assessment, liability determination), and generate comprehensive reports. This universal design consolidates multiple specialized tools into one system, reducing overall complexity while enabling rapid processing of diverse accident scenarios.
Solution Approach 2:
The system incorporates self-service capabilities where the automated processing system independently collects data from connected sources, processes information through embedded algorithms, generates assessment results, and updates claim status without requiring constant human intervention. This autonomy significantly reduces processing time while the modular architecture keeps system complexity manageable.
3Measurement precision
If comprehensive data collection is performed, then accuracy of damage assessment is improved, but processing complexity increases
Solution Approach 1:
The system performs preliminary actions by automatically collecting and organizing accident data from multiple sources (images, videos, sensor data) before the actual damage assessment begins. Data validation, normalization, and preliminary analysis are conducted in advance, ensuring high-quality input data for accurate assessment while reducing the complexity of the subsequent analysis stages through pre-processed, structured information.
Data Source
AI summary
Systems, methods, and computer-readable media, are disclosed in which a variety of data describing the condition of an object can be obtained and probabilistic likelihoods of causes and/or value of damages to the object can be calculated. In a variety of embodiments, data obtained from third-party systems can be utilized in these calculations. Any of a number of machine classifiers can be utilized to generate the probabilistic likelihoods and confidence metrics in the calculated liabilities. A variety of user interfaces for efficiently obtaining and visualizing the object, the surrounding geographic conditions, and/or the probabilistic likelihoods can further be utilized as appropriate. User interfaces can include a scene sketch tool application program interface and/or a liability tool user interface and various data sources can be used to dynamically generate diagrams of object damage and/or the environment in which the object was damaged.