Product Identification via Image Analysis and User Interaction
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Solution Overview
Problem
Identifying retail products becomes challenging due to lost documentation and varying SKU and model numbers, with manufacturers often only maintaining information for recent versions, and web-based image recognition software providing unreliable results.
Innovation Solution
A method and apparatus for product identification using image analysis and user interaction, which compares retail product images to generate a candidate product set, determines product identity queries to solicit additional information from users, and presents potential matches along with associated characteristics, allowing users to select a product match and store inventory data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If web-based image recognition software is used to identify products, then product identification can be performed without physical documentation, but the reliability of identification results deteriorates due to dependence on image quality and similarity comparisons
Solution Approach 1:
The system employs feedback mechanisms by presenting candidate products to users and asking clarifying questions about product characteristics. The user's responses to these questions feed back into the identification process, allowing the system to refine and adjust its identification results based on actual user knowledge about the product.
Solution Approach 2:
The system introduces an intermediary layer between image comparison and final identification. Instead of directly concluding product identity from image similarity alone, the system uses candidate products as intermediaries and seeks user verification through targeted questions, mediating between automated detection and human expertise.
2Device complexity
If manufacturers maintain product information only on their websites for recent versions, then information maintenance becomes simpler, but product identification becomes more difficult when appearance or function has changed between versions
Solution Approach 1:
The system performs preliminary actions by collecting and storing diverse product images and characteristics in a comprehensive database before identification is needed. This pre-built repository includes historical product information that can be referenced during identification, enabling the system to handle product version changes effectively.
Solution Approach 2:
The system handles parameter changes by comparing multiple characteristics (images, dimensions, materials, functions) rather than relying on single identifiers. When products undergo appearance or functional changes, the system can recognize these parameter variations and still identify products through comparative analysis of multiple attributes.
3Measurement precision
If documentation such as packaging and manuals is preserved to maintain product identity, then product identification accuracy improves, but the complexity of managing and sifting through documentation increases
Solution Approach 1:
The system creates digital copies of product information from various sources including images, specifications, and user inputs. These digital copies are stored and managed electronically, replacing the need to physically preserve and manually sort through paper documentation while maintaining accurate product identity information.
Solution Approach 2:
The system enables users to contribute their own product information and images, allowing the system to build its own database without requiring users to manually maintain documentation. Users simply provide input when queried, and the system automatically stores and manages the information for future identification.
Data Source
AI summary
An apparatus, system, and method are disclosed for product identification using image analysis and user interaction. The method may include comparing a retail product image to a plurality of candidate retail product images. In addition, the method may include generating a candidate product set containing candidate retail product images satisfying image comparison criteria. The method may determine one or more product identity queries configured to solicit additional product identity information from a user. In addition, the product identity queries may eliminate one or more members of the candidate product set. The method may query the user with these inquiries and determine a product match based on the user's response. Therefore a user may obtain information about a product using only a picture and a user's knowledge of the product.