AR Situation Visualization for Faster Property Damage Assessment
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Solution Overview
Problem
Existing methods struggle to efficiently quantify and visualize damage to properties or objects during disasters, as underwriting documentation may be outdated, and the extent of damage is difficult to capture accurately without extensive research.
Innovation Solution
An augmented reality system that includes an ESV computing device, a user computing device, and a reference database, which processes a real-time image to determine a subject, retrieves historical information, and overlays relevant data on the current view to provide enhanced situation visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to quantify damage, then accuracy can be maintained through extensive research, but time consumption increases significantly
Solution Approach 1:
The system performs preliminary actions by capturing images of the property before the disaster occurs and storing them in a database. When damage occurs, these pre-disaster images are immediately retrieved and compared with post-disaster images, eliminating the need for extensive on-site research and significantly reducing assessment time while maintaining accuracy.
Solution Approach 2:
The system creates visual copies (images) of the property before the disaster and stores them as reference data. When damage occurs, these visual copies are compared with current images to automatically quantify damage, replacing the need for manual measurement and research, thus reducing time consumption while preserving measurement precision.
2Loss of information
If underwriting documentation is used for damage assessment, then historical data is available, but the documentation becomes outdated and less representative of current property value
Solution Approach 1:
The system creates visual copies (images) of the property before the disaster and stores them in a database. When damage occurs, these visual copies are compared with current images to automatically quantify damage, eliminating the need for manual measurement and research, thus reducing time consumption while preserving measurement precision.
Solution Approach 2:
The system uses visual changes in images (analogous to color changes) to detect and quantify damage. By comparing pre-disaster and post-disaster images, the system can identify changes in the visual appearance of the property, such as structural damage, missing elements, or alterations, which directly reflects current property condition rather than relying on outdated documentation.
3Measurement precision
If extensive research is conducted to capture damage extent, then measurement accuracy improves, but operational efficiency decreases
Solution Approach 1:
The system replaces manual mechanical measurement and research processes with automated image processing and comparison algorithms. By using computational methods to analyze changes between pre-disaster and post-disaster images, the system achieves both high measurement precision for damage extent and improved operational efficiency, as the automated process can rapidly process images without human intervention.
Solution Approach 2:
The system enables self-service damage assessment by automatically comparing pre-disaster and post-disaster images to quantify damage extent. The system serves itself by using stored reference images and automated comparison algorithms to characterize damage without requiring extensive manual research or expert intervention, thereby improving both precision and efficiency simultaneously.
Data Source
AI summary
An augmented reality (AR) system for generating and displaying an enhanced situation visualization (ESV) is provided. The AR system may include an ESV computing device, a user computing device operated by a user and a reference database. The user computing device may transmit a reference request message to the ESV device, the reference request message including an image representative of a current view of a user. The ESV computing device may determine a subject of the image, retrieve reference information associated with the subject from the reference database, and determine situation information specific to the subject. The reference and situation information may be displayed on the user computing device to provide an ESV of the subject. The ESV may be used for insurance-related activities, such as handling, adjusting, and/or generating homeowner's insurance claims, and/or for instructional guidance.