Product ID Interface for High-Mix Manufacturing Traceability
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Solution Overview
Problem
Traditional product identification and tracking systems face challenges in high-mix, low-volume manufacturing environments due to variability in product assembly configurations and machine recognition capabilities, limiting the alignment of manufacturing data with product identification data.
Innovation Solution
A product identification and tracking interface system that includes an interface unit with input/output capabilities, memory for storing instructions, and a processor to receive trigger commands from a tracking system, send read commands to an identification system, receive identifiers, package them for the tracking system, and send them back, enabling seamless integration of identification and tracking technologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional identification approaches (barcodes, RFID tags) are used to identify products, then product identification capability is improved, but device complexity and manufacturing barriers increase in high-mix, low-volume environments
Solution Approach 1:
The patent uses optical imaging to create a digital copy of the product's visual appearance and characteristics. Instead of requiring physical tags or barcodes on each product, the system captures an image of the product and extracts identifying features from it, effectively using a digital copy for identification purposes. This eliminates the need for physical identification components while maintaining reliable product identification capability.
Solution Approach 2:
The patent replaces mechanical/physical identification systems (barcodes, RFID tags) with an optical imaging and image processing system. The identification is achieved through capturing optical images and processing them computationally to extract product identifiers, substituting the mechanical approach with an optical and computational approach that is more adaptable to high-mix, low-volume manufacturing.
2Measurement precision
If product modification (barcodes, RFID tags) is implemented for identification, then identification accuracy is improved, but ease of manufacture deteriorates due to additional manufacturing steps
Solution Approach 1:
The system creates a digital replica of the product through optical imaging, extracting identifying characteristics from the product's visual features without requiring any physical modification. The digital copy contains sufficient information for accurate identification while eliminating all additional manufacturing steps associated with applying physical tags or codes.
Solution Approach 2:
The product itself serves as its own identifier through its inherent visual characteristics. The system extracts identification information directly from the product's appearance, shape, or features without requiring the product to carry additional identification elements. The product identifies itself through its own physical attributes captured by the imaging system.
3Device complexity
If conventional identification systems are used, then system simplicity is maintained, but adaptability to high-mix, low-volume environments deteriorates
Solution Approach 1:
The system transitions from static identification (fixed barcodes or RFID tags) to a dynamic identification approach where product identification is determined through real-time optical imaging and image processing. The system can adapt to different product configurations, assemblies, and variations by processing images of actual products as they appear on the production line, enabling flexibility in high-mix, low-volume environments while maintaining relatively simple system architecture.
Solution Approach 2:
The optical imaging system serves multiple functions: it captures product images for identification, tracks product flow, verifies product specifications, and provides data for manufacturing records. This single imaging-based system replaces multiple specialized identification systems, providing universal adaptability across different product types and configurations while maintaining system simplicity through consolidation.
4Productivity
If data alignment with product identification is implemented, then operational efficiency is improved, but difficulty of detecting and measuring increases due to variability in product configurations
Solution Approach 1:
The patent replaces mechanical product recognition systems with optical imaging and computational image processing. The system captures images of products and uses software algorithms to extract identifying features, align product data with identification information, and handle variability in product configurations. This substitution enables efficient data alignment while overcoming the difficulties of detecting and measuring diverse product variations through computational methods rather than mechanical sensing.
Data Source
AI summary
In accordance with at least one aspect of this disclosure, a product identification and tracking interface system includes an interface unit. The interface unit includes an input/output configured and adapted to be coupled to at least one of a tracking system or an identification system, a memory configured to store instructions, and a processor disposed in communication with said memory. The processor upon execution of the instructions is configured to receive a trigger command from a tracking system, send a read command to an identification system, receive a respective identifier from the identification system, package the respective identifier into a packaged identifier in a format readable by the tracking system, and send the packaged identifier to the tracking system.

