Object Valuation via Image and Exchange Data Analysis
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Solution Overview
Problem
Current methods for determining the estimated assessment value of objects, such as for insurance purposes, require excessive computational resources and user interaction, leading to a poor user experience due to the need for extensive navigation and data entry through GUIs.
Innovation Solution
A device and method that processes image data to identify objects and obtain exchange data, using machine learning techniques to determine identification and estimated assessment information, thereby generating presentation information for display via a GUI, reducing the need for user input and computational resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If traditional methods are used to determine estimated assessment value of objects, then accuracy can be maintained, but computational resources and user interaction requirements increase excessively
Solution Approach 1:
The patent introduces an intermediary system that bridges image data and exchange data to automatically determine object assessment values. This intermediary processing layer uses machine learning models to connect visual object identification with historical exchange information, reducing the need for direct computational processing of raw data and minimizing user interaction while maintaining valuation accuracy.
2Loss of information
If extensive data entry and navigation through GUIs is required, then comprehensive information can be collected, but user experience deteriorates
Solution Approach 1:
The system enables self-service by automatically collecting and processing both image data and exchange data without requiring user input. The machine learning models autonomously perform object identification, data matching, and valuation calculations, allowing the system to serve itself by gathering comprehensive information while requiring zero user interaction for data entry or navigation.
3Productivity
If manual methods are used for object identification and valuation, then system complexity can be reduced, but productivity and speed decrease
Solution Approach 1:
The patent applies preliminary action by pre-training machine learning models with extensive exchange data before deployment. This preliminary training phase allows the system to rapidly process and identify objects with accurate valuation during actual use, achieving high productivity without requiring complex real-time processing. The heavy computational work is performed in advance, simplifying the operational system while maintaining high speed and accuracy.
Data Source
AI summary
A server device may be configured to obtain image data that depicts a set of objects associated with a user. The server device may be configured to process, using at least one image analysis technique, the image data to determine identification information for each object of the set of objects. The server device may be configured to obtain exchange data related to at least one exchange log of the user and may be configured to determine, based on the exchange data and the identification information, estimated exchange information for each object of a subset of objects of the set of objects. The server device may be configured to determine, based on the estimated exchange information, estimated assessment information for each object of the subset of objects and may be configured to generate, based on the estimated assessment information, presentation information for display via a graphical user interface (GUI).