Ingredient Data System Parsing Label Text Graphics
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Solution Overview
Problem
The complexity of ingredient information on food product labels, including varying formats and obscure terminology, makes it difficult for consumers, manufacturers, and regulators to understand and compare products, leading to challenges in compliance and competitive positioning.
Innovation Solution
An ingredient data management system that processes and parses text and graphics from labels to identify constituent information, assigns base attributes, and generates master attributes for display on a user interface, allowing for improved understanding and compliance checking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If ingredient information is displayed in detailed format on product labels, then comprehensive product information is provided, but consumer understanding and comparison difficulty increases
Solution Approach 1:
The system segments ingredient information into hierarchical levels: full ingredient lists, ingredient categories (allergens, preservatives, etc.), and simplified summaries. This allows the same information to be presented in multiple formats - detailed for completeness and simplified for consumer understanding - resolving the contradiction between information completeness and ease of comprehension.
2Ease of operation
If standardized ingredient classification is implemented, then product comparison becomes easier, but system complexity increases
Solution Approach 1:
The system implements a universal ingredient classification framework that serves multiple functions simultaneously: standardizing product comparison, enabling regulatory compliance checking, facilitating allergen identification, and supporting nutritional analysis. This multi-functionality reduces the need for separate systems for each purpose, thereby managing complexity while achieving standardized comparison.
3Reliability
If comprehensive ingredient analysis is performed, then regulatory compliance is improved, but processing time increases
Solution Approach 1:
The system performs preliminary classification and tagging of ingredient information during data ingestion, organizing ingredients by category, allergen status, and regulatory attributes before compliance checking is needed. This pre-processing allows rapid compliance verification against multiple regulatory frameworks without time-consuming analysis at the point of use, resolving the contradiction between thorough compliance checking and processing time.
Data Source
AI summary
An ingredient data system that ingests text and graphics of product labels associated with consumer products generally includes a memory having instructions stored thereon; and at least one processor to execute the instructions to transmit via a network a representation of a label view to a user interface on a client computing device that displays one or more of the master attributes associated with the first request, at least a portion of each of the images of one or more of the product labels of the consumer products having one or more of the master attributes associated with the first request, and at least a portion of each of the images of one or more of the product labels associated with the related consumer products having the at least one master attribute different from one or more of the master attributes associated with the first request.