Roofing Material Identification via Digital Image Analysis
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Solution Overview
Problem
Insurance providers face challenges in accurately and efficiently identifying roofing materials for damage claims, often requiring costly and time-consuming manual processes to match damaged materials, which can lead to customer dissatisfaction and additional costs.
Innovation Solution
A computer-implemented method and system that processes digital images of roofing materials to determine pertinent characteristics, using a characteristics database to identify matching or similar products, facilitating automatic population of insurance claim data fields.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual identification by claim representatives is used, then some level of identification accuracy can be achieved, but the process is time-consuming and costly
Solution Approach 1:
The patent replaces the manual mechanical identification process with an automated image processing system. The system captures images of roofing materials and uses computer vision algorithms to automatically identify material characteristics, eliminating the need for claim representatives to manually examine and identify materials while maintaining or improving identification accuracy.
Solution Approach 2:
The system creates digital copies (images) of the roofing materials and analyzes these copies to identify characteristics. Instead of requiring physical manual examination, the system uses digital imaging and processing to extract identifying features from copies of the materials, enabling rapid automated identification.
2Measurement precision
If experienced roofing professionals are hired for identification, then identification accuracy improves, but costs increase significantly
Solution Approach 1:
The patent replaces the need for expensive human experts with an automated computer-based identification system. The system uses image processing algorithms and databases to identify roofing materials, eliminating dependency on costly professional judgment while maintaining consistent and reliable identification accuracy.
Solution Approach 2:
The system enables self-service identification where the roofing materials themselves, through their visual characteristics captured in images, provide the identification information. The automated system extracts and analyzes these characteristics independently without requiring human expert intervention or interpretation.
3Loss of information
If destructive methods are used to access information on release tape, then some identifying information can be obtained, but the method is destructive and information may be incomplete
Solution Approach 1:
The system uses non-destructive digital imaging to create copies of the roofing material surfaces, including release tape areas. These digital copies can be analyzed multiple times without damaging the original materials, allowing extraction of identifying information while preserving the integrity of the roofing materials for replacement.
Solution Approach 2:
The system introduces digital image processing as an intermediary between the roofing materials and the identification process. Instead of directly damaging materials to extract information, the system uses imaging technology as a mediator to capture and analyze characteristics non-destructively.
4Ease of operation
If manual assessment of shingle characteristics is performed, then identification can be attempted, but the process requires substantial training and experience
Solution Approach 1:
The patent replaces the knowledge-intensive manual assessment process with an automated computer vision system. The system uses trained algorithms and databases to automatically analyze shingle characteristics, eliminating the need for claim representatives to possess substantial training and experience in roofing material identification.
Solution Approach 2:
The system introduces computer processing and image analysis software as intermediaries between the claim representative and the roofing materials. This intermediary system handles the complex analysis of characteristics, allowing operators with minimal training to achieve accurate identification through automated processing.
Data Source
AI summary
In a computer-implemented method of roofing material identification, image data corresponding to one or more images of roofing materials may be received. The image data may be processed to determine pertinent characteristics of the roofing materials. The determined characteristics and a characteristics database storing data indicative of associations between a plurality of roofing material products and characteristics of the plurality of roofing material products, may be used to identify a roofing material product associated with the pertinent characteristics. An indication of the identified roofing material product may be provided (e.g., to facilitate claim processing).