Automated Article Estimation via Image Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing article estimation methods are inefficient, relying on manual processes that require extensive manual checks and are time-consuming.
Innovation Solution
An article estimation method that involves receiving article information and actual pictures, determining a standard picture from a graphics library, and estimating the article based on the comparison between the actual and standard pictures, improving efficiency by using a server or end-user device to automate the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual article estimation is used, then estimation accuracy can be maintained through expert judgment, but estimation efficiency is low and time-consuming
Solution Approach 1:
The patent replaces the manual mechanical estimation process with an automated image processing system. The system uses computer vision technology to automatically compare actual article images with standard reference images, extracting features and calculating estimation values without human intervention. This substitution dramatically improves estimation efficiency while maintaining consistency and reducing time loss.
Solution Approach 2:
The patent creates a digital copy of the article through image capture and uses this copy for automated analysis. By working with image copies rather than physical articles, the system enables parallel processing and automated feature extraction, significantly improving productivity while eliminating the time-consuming nature of manual physical inspection.
2Productivity
If automated image processing is used, then estimation speed is improved, but system complexity increases
Solution Approach 1:
The patent divides the complex estimation task into distinct segments: image acquisition, feature extraction, image comparison, and value calculation. Each segment is handled by dedicated processing modules that can be independently optimized and maintained. This segmentation manages system complexity by breaking down the automated process into manageable, modular components while preserving high estimation speed.
3Loss of time
If manual estimation is used, then flexibility in handling diverse articles is maintained, but estimation time increases
Solution Approach 1:
The patent employs adjustable processing parameters and configurable comparison algorithms that can be modified to accommodate different article types. The system allows dynamic adjustment of feature extraction parameters, image processing settings, and estimation models based on the specific characteristics of the articles being evaluated, thereby maintaining flexibility while achieving rapid automated estimation.
Data Source
AI summary
A server receives article information of an article to be estimated from a user. The server obtains an actual picture of the article from the user. The server determines a standard picture of the article from a predetermined graphics library based on the article information. The server obtains an actual performance of the article. The server determines a value of the article based on the standard picture, the actual picture, and the actual performance of the article.