Automated EISS Labeling System Using Blockchain Verification
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Solution Overview
Problem
Current methods for calculating environmental impact and sustainability scores for food items are complex, time-consuming, and often manual, making them costly and inefficient.
Innovation Solution
A system and method that determine environmental impact and sustainability scores (EISS) for food items by processing food ingredient descriptions, retrieving EISS values from a repository, generating labels, and using blockchain-based distributed ledgers or non-fungible tokens (NFTs to secure and verify these scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used to calculate environmental impact and sustainability scores, then accuracy can be maintained through human review, but the process becomes time-consuming and costly
Solution Approach 1:
The patent replaces manual mechanical calculation methods with an automated computer-based system that retrieves pre-calculated EISS values from a database and applies them to food items through algorithmic processing, eliminating human review while maintaining accuracy through systematic data retrieval and calculation
Solution Approach 2:
The system performs preliminary calculations of EISS values for individual ingredients and stores them in a database before they are needed for complete food item assessments, allowing rapid retrieval and combination during actual scoring operations without repeating calculations
2Productivity
If automated systems are used to calculate EISS values, then processing speed and efficiency improve, but system complexity and implementation costs increase
Solution Approach 1:
The system divides the EISS calculation process into separate modular components: ingredient identification module, database retrieval module, calculation module, and verification module, allowing each to be developed and maintained independently while working together to provide comprehensive automated assessment
Solution Approach 2:
The patent introduces a centralized database as an intermediary layer between the calculation system and food item assessments, storing pre-calculated EISS values for ingredients and enabling the automated system to retrieve and combine these values without complex real-time calculations
3Loss of information
If traditional labeling methods are used, then simplicity is maintained, but transparency and verification of environmental claims are limited
Solution Approach 1:
The system implements feedback mechanisms where EISS labels include verification codes and data sources that allow consumers and regulators to trace back and verify the environmental impact calculations, providing transparency while maintaining label simplicity through coded information
Solution Approach 2:
The patent creates a universal labeling system that can be applied across different food items and industries, with standardized formats and verification methods that work consistently regardless of the specific food product, enabling broad transparency without requiring complex product-specific solutions
Data Source
Figure 1A~1B
Figure 1C~1D
Figure 1E~1F
AI summary
Methods, devices, and system for determining and generating environmental impact and sustainability score (EISS) labels and certificates for a food item. A computing device may be configured to receive a food item description, determine one or more food ingredients based on the received food item description, determine a food ingredient EISS value for each of the determined food ingredients based on information retrieved from a food ingredient repository, and determine a food item EISS value based on the determined food ingredient EISS values. The computing device may generate an EISS label based on the determined food item EISS value, such as by generating an encrypted label information structure and/or an EISS digital certificate (EISSDC).