Image Recognition Catalog Association System
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Solution Overview
Problem
Establishing an online catalog for merchants is a time-consuming and error-prone process due to the need for manually submitting detailed spreadsheets or files with descriptions of items, including titles, keywords, and other attributes.
Innovation Solution
The system allows merchants to add items to an online catalog by associating item images with preexisting descriptions from a master catalog, using image recognition to map user-supplied images to corresponding descriptions, reducing the need for manual data entry and simplifying the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If merchants manually submit spreadsheets or files with item descriptions, then complete catalog data can be obtained, but the process becomes time-consuming and error-prone
Solution Approach 1:
The patent replaces the manual mechanical process of spreadsheet creation and data entry with an automated image recognition system. The system captures images of physical items and automatically extracts description text, eliminating the need for merchants to manually type or copy-paste data into spreadsheets, thereby reducing both time and errors
Solution Approach 2:
The system enables self-service by allowing items to automatically generate their own digital descriptions through image recognition. The item's physical characteristics are captured via image, and the system autonomously converts this visual data into structured catalog information without requiring merchant intervention for data entry
2Loss of information
If merchants manually create item descriptions, then complete catalog information can be submitted, but the complexity of the process increases
Solution Approach 1:
The patent extracts the complex data extraction and formatting tasks from the merchant's responsibilities and transfers them to the automated image recognition system. The system handles the difficult work of converting visual information into structured catalog data, leaving merchants with only the simple task of uploading images
Solution Approach 2:
The image recognition system acts as an intermediary between the physical item and the digital catalog. Instead of requiring merchants to manually bridge this gap through complex data entry, the intermediary system automatically translates visual information into structured catalog data, simplifying the overall process
3Loss of information
If detailed spreadsheets are manually created, then comprehensive item attributes can be captured, but the effort and time required increase significantly
Solution Approach 1:
The patent replaces the manual mechanical process of creating detailed spreadsheets with automated image recognition technology. The system captures multiple item attributes simultaneously from images, eliminating the time-consuming process of manually entering each attribute into spreadsheet cells while maintaining data completeness
Data Source
AI summary
An image of an item is obtained in one or more computing devices. The item is identified from the image based at least in part on data derived from reference images that are each associated with one or more items. Catalog data corresponding to the item is associated with the image. The catalog data is added to a merchant catalog in an electronic marketplace.