Digital Twin Tracking of Mass-Produced Products
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Solution Overview
Problem
Mass-produced items with imperfections or anomalies are difficult to track efficiently, especially when they lack connectivity to IoT systems, and traditional methods like microstamping are costly and impractical.
Innovation Solution
A digital twin-based system that captures images of products, maps imperfections to a digital twin template, assigns a unique identifier, and stores data associated with these imperfections, enabling efficient tracking and quality control through a distributed data processing environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional tracking methods like microstamping are used for mass-produced items, then unique identification is achieved, but manufacturing cost and complexity increase significantly
Solution Approach 1:
The patent creates a digital copy (digital twin) of the physical product that contains all tracking information and imperfection data. Instead of physically marking each item, the system captures images and creates virtual replicas stored in a database, eliminating the need for costly physical identification methods while maintaining complete traceability
Solution Approach 2:
The patent replaces mechanical tracking methods (microstamping, physical tags) with an optical and digital system. Cameras capture images of products, computer vision algorithms detect imperfections, and digital twins store all information electronically, substituting mechanical identification with optical-digital processes that are cheaper and more scalable
2Reliability
If IoT connectivity is used for tracking products, then real-time monitoring is improved, but device complexity and cost increase
Solution Approach 1:
The system creates digital twins that are virtual copies of physical products, allowing complete tracking and monitoring without requiring the physical products to have IoT sensors or connectivity. The digital replica contains all information about the product's lifecycle, imperfections, and location, eliminating the need for embedded electronics in each item
Solution Approach 2:
The patent introduces an intermediary system (the digital twin database and image processing system) that mediates between physical products and tracking requirements. Instead of making each product smart with IoT, the intermediary digital infrastructure provides all tracking functionality externally
3Manufacturing precision
If detailed imperfection data is captured and stored for each product, then quality control improves, but data storage and processing complexity increase
Solution Approach 1:
The patent merges multiple data types (product specifications, captured images, detected imperfections, location data) into a single integrated digital twin record for each product. This consolidation organizes all quality control information in one place, making it easier to manage and analyze rather than handling separate data streams
Solution Approach 2:
By creating a complete digital copy of the product including all its characteristics and imperfections, the system enables comprehensive quality analysis without physically examining each item. The digital twin serves as a virtual specimen that can be analyzed, compared, and stored without increasing physical handling complexity
Data Source
AI summary
In an approach to tracking mass-produced items via a digital twin, one or more computer processors receive one or more images of a product. One or more computer processors retrieve a digital twin template corresponding to the product. One or more computer processors detect an imperfection in the one or more images of the product. One or more computer processors map data associated with the imperfection to the digital twin template. One or more computer processors map data associated with the imperfection to the digital twin template. One or more computer processors assign a unique identifier to the digital twin template that includes the data associated with the imperfection. One or more computer processors store the data associated with the imperfection in association with the unique identifier.