Virtual Property Walkthroughs for Automated Damage Estimation
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Solution Overview
Problem
Accurate loss estimation is challenging due to the lack of maintained inventories of insured properties, leading to inefficient and inaccurate manual assessments by a limited number of adjusters, especially in clustered loss events.
Innovation Solution
A distributed computing system utilizing machine learning and sensor data to automatically generate and track property inventories, enabling automated damage inspection and claim processing through 3D modeling and inventory analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual loss assessment by adjusters is used, then human judgment can be applied, but processing time increases and accuracy decreases due to limited adjusters and clustered losses
Solution Approach 1:
The patent replaces the mechanical system of manual adjuster inspection with an automated optical inspection system using images, computer vision algorithms, and machine learning models to detect and assess damage, thereby eliminating the time constraints and subjectivity associated with human adjusters
Solution Approach 2:
The system enables self-service damage assessment by automatically analyzing images of damaged properties and generating loss estimates without requiring human adjuster intervention, allowing the system to process unlimited claims simultaneously regardless of location clustering
2Measurement precision
If manual inventory assessment is performed, then detailed evaluation can be conducted, but the process becomes cumbersome and inefficient with limited adjusters
Solution Approach 1:
The patent replaces manual inventory assessment with automated image analysis systems that use computer vision and machine learning to identify, categorize, and value damaged items, achieving both high precision and unlimited processing capacity simultaneously
Solution Approach 2:
The automated inspection system performs multiple functions including damage detection, inventory identification, item categorization, and loss estimation through a single integrated platform, eliminating the need for separate manual assessment processes
3Measurement precision
If property foreknowledge is available, then loss assessment accuracy improves, but maintaining inventories increases system complexity
Solution Approach 1:
The system performs preliminary actions by automatically capturing and storing images of properties and their contents before losses occur, creating a baseline inventory that enables accurate post-loss assessment without requiring complex manual tracking systems
Solution Approach 2:
The patent creates digital copies of physical properties through image capture and storage, replacing complex physical inventory tracking with simplified digital representations that can be easily stored, retrieved, and analyzed
Data Source
AI summary
Systems and methods for virtual walkthroughs are provided. Pre-loss and post loss captures of an environment are captured and analyzed to identify loss estimates and trigger claim fulfillment based upon the loss estimates.