Augmented Reality Situation Visualization for Damage Comparison
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Solution Overview
Problem
Existing methods struggle to efficiently quantify and visualize damage to properties or objects after disasters, as underwriting documentation may be outdated, and the extent of damage is difficult to capture accurately without extensive research.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, user computing device, and reference database, which processes a real-time image to determine a subject, retrieves historical information, and overlays relevant data on the user's current view to provide enhanced situation visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional documentation methods are used to assess property damage, then the process is simple and quick to initiate, but the accuracy and completeness of damage quantification deteriorates due to outdated information and difficulty in visualizing damage extent
Solution Approach 1:
The system performs preliminary actions by capturing and storing historical property data (aerial images, street views, property specifications) before disasters occur. This pre-collected information is stored in databases and can be rapidly retrieved after disasters, eliminating the need for time-consuming post-disaster research and enabling immediate accurate damage assessment.
Solution Approach 2:
The system creates digital copies of property states through aerial imagery, street view captures, and structured data collection. These digital replicas serve as reference baselines that can be compared against post-disaster conditions, providing accurate damage quantification without requiring physical inspection of every property detail.
2Measurement precision
If comprehensive property data is collected and stored for accurate damage assessment, then damage quantification accuracy improves, but system complexity and data management requirements worsen
Solution Approach 1:
The system segments property data into distinct categories: aerial imagery data, street view data, property specification data, and historical claim data. Each segment is stored in separate database tables or data structures, allowing for organized management and selective retrieval of only the relevant data needed for specific assessment scenarios, thereby reducing overall system complexity.
Solution Approach 2:
The system introduces an intermediary processing layer that manages the complexity of data collection, storage, and retrieval. This intermediary layer includes automated data processing algorithms, standardized data formats, and query interfaces that shield users from the underlying complexity while maintaining high accuracy in damage assessment.
3Loss of information
If historical property images and data are retrieved and compared with current disaster damage, then accurate damage visualization is achieved, but data retrieval and processing time increases
Solution Approach 1:
The system performs preliminary data organization by pre-processing and indexing historical property images and data during peaceful times. Images are segmented, tagged with metadata, and stored in optimized database structures that enable rapid retrieval. When disasters occur, this pre-prepared data can be quickly accessed and compared with current damage conditions.
Solution Approach 2:
The system applies local quality optimization by retrieving and processing only the specific portions of historical data that are relevant to the damaged area. Rather than loading entire property datasets, the system selectively accesses localized image segments and data fields that correspond to the affected regions, reducing retrieval time while maintaining visualization completeness.
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.