Video Monitoring Work Logs With NFT Product Traceability
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Solution Overview
Problem
Existing systems in food manufacturing lack real-time monitoring and traceability, making it difficult to ensure transparency, detect errors or anomalies, and provide reliable product information to consumers.
Innovation Solution
A system utilizing a processor to analyze video data from monitoring devices, generate a work log, create a non-fungible token (NFT) with product origin and manufacturing process information, and provide it to users, ensuring transparency and traceability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time monitoring and NFT-based recording are implemented, then transparency and traceability are improved, but device complexity increases
Solution Approach 1:
The patent introduces NFTs as an intermediary mechanism between the monitoring system and consumers. The NFT serves as a bridge that encapsulates manufacturing process information in a tamper-resistant format, enabling transparency without requiring consumers to directly access complex monitoring infrastructure. The NFT acts as a mediator that translates complex manufacturing data into a standardized, verifiable digital asset.
Solution Approach 2:
The patent creates a digital copy of the manufacturing process information through NFTs. Instead of providing direct access to the complex monitoring system and raw data, the system generates a condensed, verifiable digital representation (NFT) that contains essential product information. This copy can be independently verified by consumers without accessing the underlying complex monitoring infrastructure.
2Reliability
If real-time monitoring and NFT creation are implemented, then traceability is improved, but manufacturing cost increases
Solution Approach 1:
The patent uses NFTs to create a digital copy of manufacturing process information that can be verified without physically re-monitoring or re-testing the manufacturing process. This digital copying approach enables traceability and verification at minimal additional cost compared to physical inspection methods.
Solution Approach 2:
The NFT system enables consumers to independently verify product information and manufacturing processes without requiring manufacturer intervention or additional resources from the manufacturing side. The tamper-resistant nature of NFTs allows consumers to self-verify traceability using existing monitoring data, reducing the need for costly verification processes.
3Reliability
If video data analysis and error detection are implemented, then quality control is improved, but processing time increases
Solution Approach 1:
The patent performs video data analysis and error detection in advance during the manufacturing process, before the product reaches the consumer. By conducting quality control checks preliminarily and recording results in NFTs at the time of manufacturing, the system avoids the need for time-consuming verification processes later in the supply chain.
Solution Approach 2:
The patent creates a digital copy of the quality control results through NFTs, which can be instantly accessed and verified without re-processing the original video data. This copying approach allows rapid verification of quality control outcomes without the time penalty of re-analyzing raw video footage.
Data Source
AI summary
A system includes a processor that is configured to analyze video data acquired from a monitoring device by using a generation model, generate a work log based on a result analyzed by the generation model, generate a non-fungible token based on the work log, and provide the non-fungible token to a user.