Image Recognition for Plumbing Product Identification
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Solution Overview
Problem
The existing process of identifying faulty plumbing supply products for insurance claims is slow and expensive, requiring on-site visits by specialized experts, which limits the efficiency and cost-effectiveness of the subrogation process against manufacturers.
Innovation Solution
A method and system utilizing computer vision and machine learning techniques to automatically identify unidentified plumbing supply products through image recognition, allowing users to capture images of the products with a smartphone or other electronic devices, transmit them to an identification server, and receive notifications of successful identification, thereby eliminating the need for expert site visits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If on-site inspection by plumbing experts is used to identify faulty plumbing supply products, then identification accuracy is improved, but processing time and cost increase
Solution Approach 1:
The patent uses digital images (copies) of plumbing supply products captured by mobile devices to replace the need for physical on-site inspection by experts. The image recognition system processes these digital copies to identify product characteristics, manufacturer, and model, achieving accurate identification without requiring expert presence at the claim site.
Solution Approach 2:
The patent replaces the mechanical system of expert inspection (human visual examination and physical assessment) with an automated image recognition system using machine learning algorithms. This substitution enables rapid processing of insurance claims by automatically analyzing product images rather than requiring manual expert evaluation.
2Measurement precision
If on-site inspection by plumbing experts is used to identify faulty plumbing supply products, then identification accuracy is improved, but processing cost increases
Solution Approach 1:
The system uses digital image copies to replace expensive expert inspection services. By processing images through automated recognition algorithms, the system maintains identification accuracy while eliminating the need to pay expert consultants for on-site visits, significantly reducing processing costs.
Solution Approach 2:
The image recognition system enables self-service identification where the technology automatically analyzes product images without requiring external expert intervention. This self-identifying capability allows insurance providers to process claims independently, reducing dependency on expensive external plumbing experts.
3Productivity
If automated image recognition is used to identify plumbing supply products, then processing speed is improved, but identification reliability may worsen
Solution Approach 1:
The system performs preliminary actions by pre-training machine learning models with extensive datasets of plumbing supply products before deployment. This preliminary training enables the system to reliably identify products during actual claim processing, ensuring both speed and accuracy are achieved through advance preparation of recognition capabilities.
Solution Approach 2:
The image recognition system incorporates feedback mechanisms where identification results are continuously refined based on validation against known product databases and user confirmations. This feedback loop improves reliability over time while maintaining rapid processing speeds through iterative model optimization.
Data Source
AI summary
Methods and systems for identifying an unidentified plumbing supply product are provided. According to certain aspects, an application executing on an electronic device may be configured to capture image data encoding an image of the unidentified plumbing supply product therein. The application may cause the electronic device to transmit the image data to an identification server. The identification server may analyze the image data to determine the unidentified plumbing supply product encoded in the image data matches a known plumbing supply product in a plumbing supply products database. The identification server may then transmit an indication to the electronic device that the unidentified plumbing supply product was successfully identified. The identification of the unidentified plumbing supply product may be used to process and/or subrogate an insurance claim.